[
  {
    "path": ".credo.exs",
    "content": "# This file contains the configuration for Credo and you are probably reading\n# this after creating it with `mix credo.gen.config`.\n#\n# If you find anything wrong or unclear in this file, please report an\n# issue on GitHub: https://github.com/rrrene/credo/issues\n#\n%{\n  #\n  # You can have as many configs as you like in the `configs:` field.\n  configs: [\n    %{\n      #\n      # Run any exec using `mix credo -C <name>`. If no exec name is given\n      # \"default\" is used.\n      #\n      name: \"default\",\n      #\n      # These are the files included in the analysis:\n      files: %{\n        #\n        # You can give explicit globs or simply directories.\n        # In the latter case `**/*.{ex,exs}` will be used.\n        #\n        included: [\"lib/\", \"src/\", \"web/\", \"apps/\"],\n        excluded: [~r\"/_build/\", ~r\"/deps/\", ~r\"/apps/transport/client/\", \"apps/transport/lib/transport/protobuf/gtfs-realtime.pb.ex\"]\n      },\n      #\n      # If you create your own checks, you must specify the source files for\n      # them here, so they can be loaded by Credo before running the analysis.\n      #\n      requires: [],\n      #\n      # If you want to enforce a style guide and need a more traditional linting\n      # experience, you can change `strict` to `true` below:\n      #\n      strict: false,\n      #\n      # If you want to use uncolored output by default, you can change `color`\n      # to `false` below:\n      #\n      color: true,\n      #\n      # You can customize the parameters of any check by adding a second element\n      # to the tuple.\n      #\n      # To disable a check put `false` as second element:\n      #\n      #     {Credo.Check.Design.DuplicatedCode, false}\n      #\n      checks: [\n        {Credo.Check.Consistency.ExceptionNames},\n        {Credo.Check.Consistency.LineEndings},\n        {Credo.Check.Consistency.ParameterPatternMatching},\n        {Credo.Check.Consistency.SpaceAroundOperators},\n        {Credo.Check.Consistency.SpaceInParentheses},\n        {Credo.Check.Consistency.TabsOrSpaces},\n        {Credo.Check.Design.DuplicatedCode, false},\n\n        # You can customize the priority of any check\n        # Priority values are: `low, normal, high, higher`\n        #\n        {Credo.Check.Design.AliasUsage, false},\n\n        # For some checks, you can also set other parameters\n        #\n        # If you don't want the `setup` and `test` macro calls in ExUnit tests\n        # or the `schema` macro in Ecto schemas to trigger DuplicatedCode, just\n        # set the `excluded_macros` parameter to `[:schema, :setup, :test]`.\n        #\n        # {Credo.Check.Design.DuplicatedCode, excluded_macros: []},\n\n        {Credo.Check.Design.TagTODO, false},\n        {Credo.Check.Design.TagFIXME},\n        {Credo.Check.Readability.FunctionNames},\n        {Credo.Check.Readability.LargeNumbers},\n        {Credo.Check.Readability.MaxLineLength, priority: :low, max_length: 120},\n        {Credo.Check.Readability.ModuleAttributeNames},\n        {Credo.Check.Readability.ModuleDoc},\n        {Credo.Check.Readability.ModuleNames, ignore: [~r/Transport.Validators.NeTEx.ResultsAdapters.V/]},\n        {Credo.Check.Readability.ParenthesesOnZeroArityDefs},\n        {Credo.Check.Readability.ParenthesesInCondition},\n        {Credo.Check.Readability.PredicateFunctionNames},\n        {Credo.Check.Readability.PreferImplicitTry},\n        {Credo.Check.Readability.RedundantBlankLines},\n        {Credo.Check.Readability.StringSigils},\n        {Credo.Check.Readability.TrailingBlankLine},\n        {Credo.Check.Readability.TrailingWhiteSpace},\n        {Credo.Check.Readability.VariableNames},\n        {Credo.Check.Readability.Semicolons},\n        {Credo.Check.Readability.SpaceAfterCommas},\n        {Credo.Check.Refactor.DoubleBooleanNegation},\n        {Credo.Check.Refactor.CondStatements},\n        {Credo.Check.Refactor.CyclomaticComplexity},\n        {Credo.Check.Refactor.FunctionArity},\n        {Credo.Check.Refactor.LongQuoteBlocks},\n        {Credo.Check.Refactor.MatchInCondition},\n        {Credo.Check.Refactor.NegatedConditionsInUnless},\n        {Credo.Check.Refactor.NegatedConditionsWithElse},\n        {Credo.Check.Refactor.Nesting},\n        {Credo.Check.Refactor.PipeChainStart, false},\n        # Too unpractical ; we want to keep pipes of separate rejects\n        {Credo.Check.Refactor.RejectReject, false},\n        {Credo.Check.Refactor.UnlessWithElse},\n        {Credo.Check.Warning.BoolOperationOnSameValues},\n        {Credo.Check.Warning.ExpensiveEmptyEnumCheck},\n        {Credo.Check.Warning.IExPry},\n        {Credo.Check.Warning.IoInspect},\n        {Credo.Check.Warning.OperationOnSameValues},\n        {Credo.Check.Warning.OperationWithConstantResult},\n        {Credo.Check.Warning.UnusedEnumOperation},\n        {Credo.Check.Warning.UnusedFileOperation},\n        {Credo.Check.Warning.UnusedKeywordOperation},\n        {Credo.Check.Warning.UnusedListOperation},\n        {Credo.Check.Warning.UnusedPathOperation},\n        {Credo.Check.Warning.UnusedRegexOperation},\n        {Credo.Check.Warning.UnusedStringOperation},\n        {Credo.Check.Warning.UnusedTupleOperation},\n        {Credo.Check.Warning.RaiseInsideRescue},\n        {Credo.Check.Warning.MixEnv},\n\n        # Controversial and experimental checks (opt-in, just remove `, false`)\n        #\n        {Credo.Check.Refactor.ABCSize, false},\n        {Credo.Check.Refactor.AppendSingleItem, false},\n        {Credo.Check.Refactor.VariableRebinding, false},\n        {Credo.Check.Warning.MapGetUnsafePass, false},\n        {Credo.Check.Consistency.MultiAliasImportRequireUse, false},\n\n        # Deprecated checks (these will be deleted after a grace period)\n        #\n        {Credo.Check.Readability.Specs, false},\n\n        # Custom checks can be created using `mix credo.gen.check`.\n        #\n\n        {Credo.Check.Warning.ForbiddenModule,\n         [\n           modules: [Timex]\n         ]}\n      ]\n    }\n  ]\n}\n"
  },
  {
    "path": ".dialyzer_ignore.exs",
    "content": "[\n  # temporary fix for https://github.com/elixir-ecto/postgrex/issues/549\n  ~r/deps\\/postgrex\\/lib\\/postgrex\\/type_module.ex/,\n  ~r/lib\\/postgrex\\/type_module.ex/,\n  # EctoInterval raises an unknown_type error\n  ~r/gtfs_stop_times.ex/,\n  # Cloak.Ecto.SHA256 and DB.Encrypted.Binary raise an unknown_type error\n  # See https://github.com/danielberkompas/cloak_ecto/issues/55\n  {\"lib/db/contact.ex\", :unknown_type, 0},\n  {\"lib/db/user_feedback.ex\", :unknown_type, 0},\n  {\"lib/db/notification.ex\", :unknown_type, 0},\n  {\"lib/db/token.ex\", :unknown_type, 0},\n\n  # Workaround for \"Overloaded contract for Transport.Cldr.Calendar.localize/3\n  # has overlapping domains; such contracts are currently unsupported and are\n  # simply ignored.\"\n  ~r/lib\\/cldr.ex/\n]\n"
  },
  {
    "path": ".editorconfig",
    "content": "root = true\n\n[*]\nindent_size              = 2\nindent_style             = space\ncharset                  = utf-8\ntrim_trailing_whitespace = true\nspaces_around_operators  = true\nmax_line_length          = 80\ninsert_final_newline     = true\nend_of_line              = lf\n\n[*.js]\nindent_size              = 4\n\n[*.tag]\nindent_size              = 4\n\n[*.md]\ntrim_trailing_whitespace = false\n\n[*.markdown]\ntrim_trailing_whitespace = false\n"
  },
  {
    "path": ".eslintignore",
    "content": "/node_modules\n**/*/node_modules\npriv/static/js\n"
  },
  {
    "path": ".formatter.exs",
    "content": "[\n  plugins: [Phoenix.LiveView.HTMLFormatter],\n  inputs: [\n    \"mix.exs\",\n    \"config/*.exs\",\n    \"apps/*/{lib,test}/**/*.{ex,exs,heex}\",\n    \"apps/transport/priv/repo/migrations/*.{ex,exs}\",\n    \"scripts/**/*.exs\",\n    \"ops_tests/**/*.exs\"\n  ],\n  line_length: 120\n]\n"
  },
  {
    "path": ".github/CODEOWNERS",
    "content": "* @etalab/transport-tech\n"
  },
  {
    "path": ".github/actions/checkout-compile/action.yml",
    "content": "name: \"Checkout & compile\"\ndescription: \"Checkout and compile the code\"\nruns:\n  using: \"composite\"\n  steps:\n    - uses: erlef/setup-beam@v1\n      with:\n        version-file: .tool-versions\n        version-type: strict\n\n    - name: Set safe directory\n      run: git config --global --add safe.directory \"$GITHUB_WORKSPACE\"\n      shell: bash\n\n    - name: Cache deps\n      id: cache-deps\n      uses: actions/cache@v4\n      env:\n        cache-name: cache-elixir-deps\n      with:\n        path: deps\n        key: ${{ runner.os }}-mix-${{ env.cache-name }}-${{ hashFiles('.tool-versions') }}-${{ hashFiles('**/mix.lock') }}\n        restore-keys: |\n          ${{ runner.os }}-mix-${{ env.cache-name }}-${{ hashFiles('.tool-versions') }}\n          ${{ runner.os }}-mix-${{ env.cache-name }}-\n\n    - name: Cache compiled build\n      id: cache-build\n      uses: actions/cache@v4\n      env:\n        cache-name: cache-compiled-build-v2\n      with:\n        path: _build\n        key: ${{ runner.os }}-mix-${{ env.cache-name }}-${{ hashFiles('.tool-versions') }}-${{ hashFiles('**/mix.lock') }}\n        restore-keys: |\n          ${{ runner.os }}-mix-${{ env.cache-name }}-${{ hashFiles('.tool-versions') }}\n          ${{ runner.os }}-mix-${{ env.cache-name }}-\n\n    - name: Cache JS assets\n      id: cache-js-assets\n      uses: actions/cache@v4\n      env:\n        cache-name: cache-js-assets\n      with:\n        path: |\n          apps/transport/client/node_modules\n          apps/transport/priv/static\n        key: ${{ runner.os }}-mix-${{ env.cache-name }}-${{ hashFiles('apps/transport/client/yarn.lock') }}\n        restore-keys: |\n          ${{ runner.os }}-mix-${{ env.cache-name }}-\n          ${{ runner.os }}-mix-\n\n    - name: Move transport-tools folder\n      run: mv /transport-tools ./transport-tools\n      shell: bash\n\n    - name: Install hex\n      run: mix local.hex --force\n      shell: bash\n\n    - name: Install rebar\n      run: mix local.rebar --force\n      shell: bash\n\n    - name: Install mix dependencies\n      run: mix deps.get\n      shell: bash\n\n    - name: Compile code\n      run: |\n        mix compile\n        MIX_ENV=test mix compile\n      shell: bash\n\n    - name: Install yarn dependencies\n      run: cd apps/transport/client && yarn install\n      shell: bash\n\n    - name: Compile assets\n      run: cd apps/transport/client && npm run build\n      shell: bash"
  },
  {
    "path": ".github/workflows/ops_tests.yml",
    "content": "name: CI ops tests\non: push\n\njobs:\n  test:\n    runs-on: ubuntu-latest\n    name: Run ops tests\n    steps:\n      - uses: actions/checkout@v4\n      - uses: erlef/setup-beam@v1\n        with:\n          version-file: .tool-versions\n          version-type: strict\n      - run: elixir ops_tests/ops_tests.exs\n"
  },
  {
    "path": ".github/workflows/sentry_release.yml",
    "content": "name: Sentry release integration\non:\n  push:\n    branches:\n      - master\njobs:\n  # See https://github.com/marketplace/actions/sentry-release\n  # See https://sentry.io/settings/transport-data-gouv-fr/developer-settings/github-action-release-integration-f9f6ff/\n  notify:\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions/checkout@v3\n        with:\n          fetch-depth: 5\n      - name: Create Sentry release\n        uses: getsentry/action-release@v1\n        env:\n          SENTRY_AUTH_TOKEN: ${{ secrets.SENTRY_AUTH_TOKEN }}\n          SENTRY_ORG: 'transport-data-gouv-fr'\n          SENTRY_PROJECT: 'transport-site'\n        with:\n          environment: prod\n"
  },
  {
    "path": ".github/workflows/test.yml",
    "content": "name: Test suite\non:\n  - push\n  - workflow_dispatch\n\nenv:\n  # https://github.com/erlef/setup-beam#self-hosted-runners\n  ImageOS: ubuntu24\n\njobs:\n  lint:\n    name: 💅 Run lint tests\n    runs-on: ubuntu-latest\n    container: ghcr.io/transportdatagouvfr/ops:elixir-1.19.4-erlang-27.3.4.1-ubuntu-noble-20251013-transport-tools-2.0.0\n\n    steps:\n      - uses: actions/checkout@v6\n\n      - name: Checkout and compile\n        uses: ./.github/actions/checkout-compile\n\n      - name: Run gettext check\n        run: mix gettext.extract --check-up-to-date\n\n      - name: Run credo\n        run: mix credo --strict\n\n      - name: Run javascript linter\n        run: mix npm \"run linter:ecma\"\n\n      - name: Run stylesheets linter\n        run: mix npm \"run linter:sass\"\n\n      - name: Run formatter\n        run: mix format --check-formatted --dry-run\n\n  test:\n    name: ⚙️ Run the test suite\n    runs-on: ubuntu-latest\n    container: ghcr.io/transportdatagouvfr/ops:elixir-1.19.4-erlang-27.3.4.1-ubuntu-noble-20251013-transport-tools-2.0.0\n    env:\n      PG_URL_TEST: \"ecto://postgres:postgres@postgres/transport_test\"\n\n    services:\n      postgres:\n        image: timescale/timescaledb-ha:pg18.0-ts2.23.0\n        env:\n          POSTGRES_USER: postgres\n          POSTGRES_DB: transport_test\n          POSTGRES_PASSWORD: postgres\n        credentials:\n          username: ${{ secrets.DOCKERHUB_USERNAME }}\n          password: ${{ secrets.DOCKERHUB_PASSWORD }}\n        options: >-\n          --health-cmd pg_isready\n          --health-interval 10s\n          --health-timeout 5s\n          --health-retries 5\n\n    steps:\n      - uses: actions/checkout@v6\n\n      - name: Checkout and compile\n        uses: ./.github/actions/checkout-compile\n\n      - name: Run tests\n        run: mix test --warnings-as-errors\n"
  },
  {
    "path": ".github/workflows/trivy_scan.yml",
    "content": "name: trivy_scan\non:\n  schedule:\n    - cron: 0 9 * * MON\njobs:\n  build:\n    name: Scan\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout code\n        uses: actions/checkout@v2\n\n      - name: Extract identifier of Docker image to scan\n        id: docker_image_ref_retrieval\n        run: echo ::set-output name=TARGET_IMAGE_REF::$(cat Dockerfile | grep FROM | head -1 | cut -d' ' -f2)\n\n      - name: Run Trivy vulnerability scanner\n        uses: aquasecurity/trivy-action@master\n        with:\n          image-ref: \"${{ steps.docker_image_ref_retrieval.outputs.TARGET_IMAGE_REF }}\"\n          format: 'table'\n"
  },
  {
    "path": ".gitignore",
    "content": "# App artifacts\n/_build\n/db\n/deps\n/*.ez\n.elixir_ls\n.DS_Store\n\n# Generated on crash by the VM\nerl_crash.dump\n\n# Npm stuff\n/node_modules\n/**/*/node_modules\n/**/*/npm-debug.*\n\n# Code coverage output\n/**/cover\n\n# Data munging\ncache-dir\ndata-tmp\n\n# Since we are building assets from client,\n# we ignore priv/static.\napps/transport/priv/static/css/*\napps/transport/priv/static/fonts/*\napps/transport/priv/static/images/*\napps/transport/priv/static/js/*\n\n# Environment variables files\n/.env\n\n# The config/prod.secret.exs file by default contains sensitive\n# data and you should not commit it into version control.\n#\n# Alternatively, you may comment the line below and commit the\n# secrets file as long as you replace its contents by environment\n# variables.\n/config/prod.secret.exs\n\n# the blog build folder\n/blog/public\n.clever.json\n\ndialyzer-plt/*.plt\ndialyzer-plt/*.plt.hash\nconfig/proxy-config.yml\nconfig/notifications-config.yml\nconfig/dev.secret.exs\nscripts/siri/config.yml\ntransport-tools\napps/transport/client/yarn-error.log\n.miniorc\nlivebook/cache-dir\napps/transport/priv/repo/structure.sql\n\npg.list\n\n# Any CSV file put at the root level\n/*.csv\n/*~lock.*.csv#"
  },
  {
    "path": ".miniorc.template",
    "content": "# Steps to run minio locally as a S3 container for development:\n# 1. cp .miniorc.template .miniorc\n# 2. Install MinIO locally. Two options:\n#   2.1. It is preferable to use a simple binary, non-Docker version when available\n#    Mac https://min.io/docs/minio/macos/index.html \n#    Linux https://github.com/minio/minio?tab=readme-ov-file#gnulinux\n#    in which case you can do:\n#    mkdir /minio/data (or wherever you want)\n#    minio server --console-address :9090 ~/data\n#   2.2. For Docker support (a bit more involved), follow instructions at\n#     https://docs.min.io/minio/baremetal/quickstart/container.html#quickstart-container\n#     which means at time of writing:\n#     NOTE: -name removed for simplicity, and \"quayio\" removed since the container appeared outdated\n#     docker run -p 9000:9000 -p 9090:9090 -v ~/minio/data:/data -e \"MINIO_ROOT_USER=$MINIO_ROOT_USER\" -e \"MINIO_ROOT_PASSWORD=$MINIO_ROOT_PASSWORD\" minio/minio server /data --console-address \":9090\"\n# 3. modify the password and source it:\n# `source .miniorc`\n\n\nexport MINIO_ROOT_USER=test-local\nexport MINIO_ROOT_PASSWORD=apoi8761876bbazeriouy\n\n\n# 4. Run minIO (Example: `./minio server --console-address :9090 ./miniodata` with a binary Linux executable)\n# 5. go to console at http://127.0.0.1:9090 and create needed buckets:\n#   `transport-data-gouv-fr-resource-history-dev` for resource history\n#   `transport-data-gouv-fr-aggregates-dev` for aggregated IRVE and so on\n# 6. setup `dev.secret.exs` from `dev.secret.template.exs`\n# 8. start `mix phx.server` or run a script such as `mix run scripts/irve/process-raw-static-consolidation.exs`\n"
  },
  {
    "path": ".stylelintrc.json",
    "content": "{\n  \"extends\": [\"stylelint-config-standard\", \"stylelint-config-standard-scss\"],\n  \"rules\": {\n      \"scss/dollar-variable-colon-space-after\": \"at-least-one-space\",\n      \"scss/dollar-variable-default\": true,\n\n      \"color-no-invalid-hex\": true,\n      \"function-calc-no-unspaced-operator\": true,\n      \"unit-no-unknown\": true,\n      \"property-no-unknown\": true,\n      \"declaration-block-no-duplicate-properties\": true,\n      \"selector-pseudo-class-no-unknown\": true,\n      \"selector-pseudo-element-no-unknown\": true,\n      \"selector-type-no-unknown\": true,\n      \"media-feature-name-no-unknown\": true,\n      \"media-feature-range-notation\": \"prefix\",\n      \"comment-no-empty\": true,\n      \"no-duplicate-at-import-rules\": true,\n      \"no-duplicate-selectors\": true,\n      \"no-descending-specificity\": true,\n      \"no-empty-source\": true,\n      \"rule-empty-line-before\": null,\n      \"selector-class-pattern\": null,\n      \"hue-degree-notation\": null,\n      \"color-function-notation\": null,\n      \"scss/dollar-variable-empty-line-before\": null,\n      \"alpha-value-notation\": null,\n      \"at-rule-empty-line-before\": null,\n      \"value-keyword-case\": null,\n      \"comment-empty-line-before\": null,\n      \"font-family-no-missing-generic-family-keyword\": null,\n      \"scss/at-extend-no-missing-placeholder\": null,\n      \"selector-id-pattern\": null,\n      \"declaration-block-no-redundant-longhand-properties\": null,\n      \"scss/double-slash-comment-empty-line-before\": null\n  }\n}\n"
  },
  {
    "path": ".tool-versions",
    "content": "# NOTE: this file does _not_ define what is used in production\n# (see https://github.com/etalab/transport-site/issues/1336), but it\n# provides an easy way to ensure local development and test will rely on roughly\n# the same versions as in production, if one uses the \"asdf\" version manager.\n\n# Update ASDF and plugins: asdf update && asdf plugin update --all\n\n# See:\n# - https://hexdocs.pm/elixir/compatibility-and-deprecations.html\n# - https://github.com/elixir-lang/elixir/releases\n# - `asdf list all elixir`\nelixir 1.19.4-otp-27\n\n# See:\n# - https://github.com/erlang/otp/releases\n# - Blog, e.g. https://www.erlang.org/blog/my-otp-25-highlights/\n# - https://github.com/erlang/otp/blob/master/otp_versions.table\n# - `asdf list all erlang`\nerlang 27.3.4.1\n\n# Take an LTS version on https://nodejs.org/\nnodejs 22.16.0\n"
  },
  {
    "path": ".vscode/launch.json",
    "content": "{\n    // Use IntelliSense to learn about possible attributes.\n    // Hover to view descriptions of existing attributes.\n    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387\n    \"version\": \"0.2.0\",\n    \"configurations\": [\n        {\n            \"type\": \"mix_task\",\n            \"name\": \"mix phx.server\",\n            \"request\": \"launch\",\n            \"projectDir\": \"${workspaceRoot}\",\n            \"task\": \"phx.server\"\n        }\n    ]\n}"
  },
  {
    "path": "Dockerfile",
    "content": "FROM ghcr.io/transportdatagouvfr/ops:elixir-1.19.4-erlang-27.3.4.1-ubuntu-noble-20251013-transport-tools-2.0.0\n\nRUN mkdir phoenixapp\nWORKDIR /phoenixapp\nCOPY ./ /phoenixapp\nRUN mv  /transport-tools /phoenixapp\n\nRUN mix do deps.get --only prod\n\nRUN elixir --version\nRUN erl -noshell -eval 'erlang:display(erlang:system_info(system_version))' -eval 'init:stop()'\nRUN node --version\n\nENV PORT 8080\nENV MIX_ENV prod\nRUN mix deps.compile\nRUN cd apps/transport/client && yarn install && npm run build\n# assets digest must happen after the npm build step\nRUN mix phx.digest\n# Package source code for Sentry https://hexdocs.pm/sentry/upgrade-10-x.html\nRUN mix sentry.package_source_code\n\nEXPOSE 8080\n\n# See https://github.com/etalab/transport-site/issues/1384\n#\n# Here I discovered that a default cookie is generated automatically by Erlang,\n# and that its value will be the same when running Phoenix vs. running an iex\n# on the same node (but it will be different on e.g. site vs worker).\n#\n# This cookie is stored in `~/.erlang_cookie` and can be read programmatically\n# via `:erlang.get_cookie()`.\n#\n# So as long as a `-sname` has been set at Phoenix startup, this is good enough to\n# allow iex connection with the following command (after SSH):\n#\n# `iex --sname console --remsh node`\n#\n# I was also able to define a custom cookie, and I'm saving the notes in case we\n# decide the default cookie is not good enough, or detect a situation where it could\n# be guessable in a way or another.\n#\n# Add this right above the `ENTRYPOINT`:\n#\n# `ENV ERL_FLAGS=\"-cookie $ELIXIR_NODE_SECRET_COOKIE\"`\n#\n# (`-cookie` is not a typo, this is different from `elixir --cookie`)\n#\n# You will need to make sure to define the variable, otherwise it will fallback\n# to the automatically generated cookie value.\n#\n# Setting `ERL_FLAGS` via `ENV` makes it possible not to introduce a subshell\n# to evaluate the variable in `ENTRYPOINT`, something that would introduce other\n# problems such as the behaviour of kill on the container (subprocesses).\n#\n# If you use `ERL_FLAGS` with a custom cookie, the command to connect to the node\n# will be slightly different:\n# `iex --sname console --cookie $ELIXIR_NODE_SECRET_COOKIE --remsh node`\n#\n\nENTRYPOINT [\"elixir\", \"--sname\", \"node\", \"-S\", \"mix\", \"phx.migrate_phx.server\"]\n"
  },
  {
    "path": "Dockerfile.dev",
    "content": "FROM ghcr.io/transportdatagouvfr/ops:elixir-1.19.4-erlang-27.3.4.1-ubuntu-noble-20251013-transport-tools-2.0.0\n\nRUN apt-get install -y git inotify-tools postgresql-client>=11\n\nRUN mkdir /app/\nRUN mkdir /app/_build\nRUN mkdir /app/deps/\nWORKDIR /app/\nRUN mv /transport-tools /app\n\n# fetch a wait-for-it script to wait for postgres startup\nADD https://raw.githubusercontent.com/vishnubob/wait-for-it/81b1373f17855a4dc21156cfe1694c31d7d1792e/wait-for-it.sh /opt/bin/\nRUN chmod +x /opt/bin/wait-for-it.sh\n\nADD docker_phoenix_startup.sh /docker_phoenix_startup.sh\nRUN chmod +x /docker_phoenix_startup.sh\n\nADD mix.exs mix.lock /app/\nADD config /app/config/\nADD apps /app/apps/\n\n\nCMD [ \"/docker_phoenix_startup.sh\" ]\n"
  },
  {
    "path": "LICENSE.AGPL.txt",
    "content": "                    GNU AFFERO GENERAL PUBLIC LICENSE\n                       Version 3, 19 November 2007\n\n Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>\n Everyone is permitted to copy and distribute verbatim copies\n of this license document, but changing it is not allowed.\n\n                            Preamble\n\n  The GNU Affero General Public License is a free, copyleft license for\nsoftware and other kinds of works, specifically designed to ensure\ncooperation with the community in the case of network server software.\n\n  The licenses for most software and other practical works are designed\nto take away your freedom to share and change the works.  By contrast,\nour General Public Licenses are intended to guarantee your freedom to\nshare and change all versions of a program--to make sure it remains free\nsoftware for all its users.\n\n  When we speak of free software, we are referring to freedom, not\nprice.  Our General Public Licenses are designed to make sure that you\nhave the freedom to distribute copies of free software (and charge for\nthem if you wish), that you receive source code or can get it if you\nwant it, that you can change the software or use pieces of it in new\nfree programs, and that you know you can do these things.\n\n  Developers that use our General Public Licenses protect your rights\nwith two steps: (1) assert copyright on the software, and (2) offer\nyou this License which gives you legal permission to copy, distribute\nand/or modify the software.\n\n  A secondary benefit of defending all users' freedom is that\nimprovements made in alternate versions of the program, if they\nreceive widespread use, become available for other developers to\nincorporate.  Many developers of free software are heartened and\nencouraged by the resulting cooperation.  However, in the case of\nsoftware used on network servers, this result may fail to come about.\nThe GNU General Public License permits making a modified version and\nletting the public access it on a server without ever releasing its\nsource code to the public.\n\n  The GNU Affero General Public License is designed specifically to\nensure that, in such cases, the modified source code becomes available\nto the community.  It requires the operator of a network server to\nprovide the source code of the modified version running there to the\nusers of that server.  Therefore, public use of a modified version, on\na publicly accessible server, gives the public access to the source\ncode of the modified version.\n\n  An older license, called the Affero General Public License and\npublished by Affero, was designed to accomplish similar goals.  This is\na different license, not a version of the Affero GPL, but Affero has\nreleased a new version of the Affero GPL which permits relicensing under\nthis license.\n\n  The precise terms and conditions for copying, distribution and\nmodification follow.\n\n                       TERMS AND CONDITIONS\n\n  0. Definitions.\n\n  \"This License\" refers to version 3 of the GNU Affero General Public License.\n\n  \"Copyright\" also means copyright-like laws that apply to other kinds of\nworks, such as semiconductor masks.\n\n  \"The Program\" refers to any copyrightable work licensed under this\nLicense.  Each licensee is addressed as \"you\".  \"Licensees\" and\n\"recipients\" may be individuals or organizations.\n\n  To \"modify\" a work means to copy from or adapt all or part of the work\nin a fashion requiring copyright permission, other than the making of an\nexact copy.  The resulting work is called a \"modified version\" of the\nearlier work or a work \"based on\" the earlier work.\n\n  A \"covered work\" means either the unmodified Program or a work based\non the Program.\n\n  To \"propagate\" a work means to do anything with it that, without\npermission, would make you directly or secondarily liable for\ninfringement under applicable copyright law, except executing it on a\ncomputer or modifying a private copy.  Propagation includes copying,\ndistribution (with or without modification), making available to the\npublic, and in some countries other activities as well.\n\n  To \"convey\" a work means any kind of propagation that enables other\nparties to make or receive copies.  Mere interaction with a user through\na computer network, with no transfer of a copy, is not conveying.\n\n  An interactive user interface displays \"Appropriate Legal Notices\"\nto the extent that it includes a convenient and prominently visible\nfeature that (1) displays an appropriate copyright notice, and (2)\ntells the user that there is no warranty for the work (except to the\nextent that warranties are provided), that licensees may convey the\nwork under this License, and how to view a copy of this License.  If\nthe interface presents a list of user commands or options, such as a\nmenu, a prominent item in the list meets this criterion.\n\n  1. Source Code.\n\n  The \"source code\" for a work means the preferred form of the work\nfor making modifications to it.  \"Object code\" means any non-source\nform of a work.\n\n  A \"Standard Interface\" means an interface that either is an official\nstandard defined by a recognized standards body, or, in the case of\ninterfaces specified for a particular programming language, one that\nis widely used among developers working in that language.\n\n  The \"System Libraries\" of an executable work include anything, other\nthan the work as a whole, that (a) is included in the normal form of\npackaging a Major Component, but which is not part of that Major\nComponent, and (b) serves only to enable use of the work with that\nMajor Component, or to implement a Standard Interface for which an\nimplementation is available to the public in source code form.  A\n\"Major Component\", in this context, means a major essential component\n(kernel, window system, and so on) of the specific operating system\n(if any) on which the executable work runs, or a compiler used to\nproduce the work, or an object code interpreter used to run it.\n\n  The \"Corresponding Source\" for a work in object code form means all\nthe source code needed to generate, install, and (for an executable\nwork) run the object code and to modify the work, including scripts to\ncontrol those activities.  However, it does not include the work's\nSystem Libraries, or general-purpose tools or generally available free\nprograms which are used unmodified in performing those activities but\nwhich are not part of the work.  For example, Corresponding Source\nincludes interface definition files associated with source files for\nthe work, and the source code for shared libraries and dynamically\nlinked subprograms that the work is specifically designed to require,\nsuch as by intimate data communication or control flow between those\nsubprograms and other parts of the work.\n\n  The Corresponding Source need not include anything that users\ncan regenerate automatically from other parts of the Corresponding\nSource.\n\n  The Corresponding Source for a work in source code form is that\nsame work.\n\n  2. Basic Permissions.\n\n  All rights granted under this License are granted for the term of\ncopyright on the Program, and are irrevocable provided the stated\nconditions are met.  This License explicitly affirms your unlimited\npermission to run the unmodified Program.  The output from running a\ncovered work is covered by this License only if the output, given its\ncontent, constitutes a covered work.  This License acknowledges your\nrights of fair use or other equivalent, as provided by copyright law.\n\n  You may make, run and propagate covered works that you do not\nconvey, without conditions so long as your license otherwise remains\nin force.  You may convey covered works to others for the sole purpose\nof having them make modifications exclusively for you, or provide you\nwith facilities for running those works, provided that you comply with\nthe terms of this License in conveying all material for which you do\nnot control copyright.  Those thus making or running the covered works\nfor you must do so exclusively on your behalf, under your direction\nand control, on terms that prohibit them from making any copies of\nyour copyrighted material outside their relationship with you.\n\n  Conveying under any other circumstances is permitted solely under\nthe conditions stated below.  Sublicensing is not allowed; section 10\nmakes it unnecessary.\n\n  3. Protecting Users' Legal Rights From Anti-Circumvention Law.\n\n  No covered work shall be deemed part of an effective technological\nmeasure under any applicable law fulfilling obligations under article\n11 of the WIPO copyright treaty adopted on 20 December 1996, or\nsimilar laws prohibiting or restricting circumvention of such\nmeasures.\n\n  When you convey a covered work, you waive any legal power to forbid\ncircumvention of technological measures to the extent such circumvention\nis effected by exercising rights under this License with respect to\nthe covered work, and you disclaim any intention to limit operation or\nmodification of the work as a means of enforcing, against the work's\nusers, your or third parties' legal rights to forbid circumvention of\ntechnological measures.\n\n  4. Conveying Verbatim Copies.\n\n  You may convey verbatim copies of the Program's source code as you\nreceive it, in any medium, provided that you conspicuously and\nappropriately publish on each copy an appropriate copyright notice;\nkeep intact all notices stating that this License and any\nnon-permissive terms added in accord with section 7 apply to the code;\nkeep intact all notices of the absence of any warranty; and give all\nrecipients a copy of this License along with the Program.\n\n  You may charge any price or no price for each copy that you convey,\nand you may offer support or warranty protection for a fee.\n\n  5. 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This License gives no\n    permission to license the work in any other way, but it does not\n    invalidate such permission if you have separately received it.\n\n    d) If the work has interactive user interfaces, each must display\n    Appropriate Legal Notices; however, if the Program has interactive\n    interfaces that do not display Appropriate Legal Notices, your\n    work need not make them do so.\n\n  A compilation of a covered work with other separate and independent\nworks, which are not by their nature extensions of the covered work,\nand which are not combined with it such as to form a larger program,\nin or on a volume of a storage or distribution medium, is called an\n\"aggregate\" if the compilation and its resulting copyright are not\nused to limit the access or legal rights of the compilation's users\nbeyond what the individual works permit.  Inclusion of a covered work\nin an aggregate does not cause this License to apply to the other\nparts of the aggregate.\n\n  6. Conveying Non-Source Forms.\n\n  You may convey a covered work in object code form under the terms\nof sections 4 and 5, provided that you also convey the\nmachine-readable Corresponding Source under the terms of this License,\nin one of these ways:\n\n    a) Convey the object code in, or embodied in, a physical product\n    (including a physical distribution medium), accompanied by the\n    Corresponding Source fixed on a durable physical medium\n    customarily used for software interchange.\n\n    b) Convey the object code in, or embodied in, a physical product\n    (including a physical distribution medium), accompanied by a\n    written offer, valid for at least three years and valid for as\n    long as you offer spare parts or customer support for that product\n    model, to give anyone who possesses the object code either (1) a\n    copy of the Corresponding Source for all the software in the\n    product that is covered by this License, on a durable physical\n    medium customarily used for software interchange, for a price no\n    more than your reasonable cost of physically performing this\n    conveying of source, or (2) access to copy the\n    Corresponding Source from a network server at no charge.\n\n    c) Convey individual copies of the object code with a copy of the\n    written offer to provide the Corresponding Source.  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Regardless of what server hosts the\n    Corresponding Source, you remain obligated to ensure that it is\n    available for as long as needed to satisfy these requirements.\n\n    e) Convey the object code using peer-to-peer transmission, provided\n    you inform other peers where the object code and Corresponding\n    Source of the work are being offered to the general public at no\n    charge under subsection 6d.\n\n  A separable portion of the object code, whose source code is excluded\nfrom the Corresponding Source as a System Library, need not be\nincluded in conveying the object code work.\n\n  A \"User Product\" is either (1) a \"consumer product\", which means any\ntangible personal property which is normally used for personal, family,\nor household purposes, or (2) anything designed or sold for incorporation\ninto a dwelling.  In determining whether a product is a consumer product,\ndoubtful cases shall be resolved in favor of coverage.  For a particular\nproduct received by a particular user, \"normally used\" refers to a\ntypical or common use of that class of product, regardless of the status\nof the particular user or of the way in which the particular user\nactually uses, or expects or is expected to use, the product.  A product\nis a consumer product regardless of whether the product has substantial\ncommercial, industrial or non-consumer uses, unless such uses represent\nthe only significant mode of use of the product.\n\n  \"Installation Information\" for a User Product means any methods,\nprocedures, authorization keys, or other information required to install\nand execute modified versions of a covered work in that User Product from\na modified version of its Corresponding Source.  The information must\nsuffice to ensure that the continued functioning of the modified object\ncode is in no case prevented or interfered with solely because\nmodification has been made.\n\n  If you convey an object code work under this section in, or with, or\nspecifically for use in, a User Product, and the conveying occurs as\npart of a transaction in which the right of possession and use of the\nUser Product is transferred to the recipient in perpetuity or for a\nfixed term (regardless of how the transaction is characterized), the\nCorresponding Source conveyed under this section must be accompanied\nby the Installation Information.  But this requirement does not apply\nif neither you nor any third party retains the ability to install\nmodified object code on the User Product (for example, the work has\nbeen installed in ROM).\n\n  The requirement to provide Installation Information does not include a\nrequirement to continue to provide support service, warranty, or updates\nfor a work that has been modified or installed by the recipient, or for\nthe User Product in which it has been modified or installed.  Access to a\nnetwork may be denied when the modification itself materially and\nadversely affects the operation of the network or violates the rules and\nprotocols for communication across the network.\n\n  Corresponding Source conveyed, and Installation Information provided,\nin accord with this section must be in a format that is publicly\ndocumented (and with an implementation available to the public in\nsource code form), and must require no special password or key for\nunpacking, reading or copying.\n\n  7. Additional Terms.\n\n  \"Additional permissions\" are terms that supplement the terms of this\nLicense by making exceptions from one or more of its conditions.\nAdditional permissions that are applicable to the entire Program shall\nbe treated as though they were included in this License, to the extent\nthat they are valid under applicable law.  If additional permissions\napply only to part of the Program, that part may be used separately\nunder those permissions, but the entire Program remains governed by\nthis License without regard to the additional permissions.\n\n  When you convey a copy of a covered work, you may at your option\nremove any additional permissions from that copy, or from any part of\nit.  (Additional permissions may be written to require their own\nremoval in certain cases when you modify the work.)  You may place\nadditional permissions on material, added by you to a covered work,\nfor which you have or can give appropriate copyright permission.\n\n  Notwithstanding any other provision of this License, for material you\nadd to a covered work, you may (if authorized by the copyright holders of\nthat material) supplement the terms of this License with terms:\n\n    a) Disclaiming warranty or limiting liability differently from the\n    terms of sections 15 and 16 of this License; or\n\n    b) Requiring preservation of specified reasonable legal notices or\n    author attributions in that material or in the Appropriate Legal\n    Notices displayed by works containing it; or\n\n    c) Prohibiting misrepresentation of the origin of that material, or\n    requiring that modified versions of such material be marked in\n    reasonable ways as different from the original version; or\n\n    d) Limiting the use for publicity purposes of names of licensors or\n    authors of the material; or\n\n    e) Declining to grant rights under trademark law for use of some\n    trade names, trademarks, or service marks; or\n\n    f) Requiring indemnification of licensors and authors of that\n    material by anyone who conveys the material (or modified versions of\n    it) with contractual assumptions of liability to the recipient, for\n    any liability that these contractual assumptions directly impose on\n    those licensors and authors.\n\n  All other non-permissive additional terms are considered \"further\nrestrictions\" within the meaning of section 10.  If the Program as you\nreceived it, or any part of it, contains a notice stating that it is\ngoverned by this License along with a term that is a further\nrestriction, you may remove that term.  If a license document contains\na further restriction but permits relicensing or conveying under this\nLicense, you may add to a covered work material governed by the terms\nof that license document, provided that the further restriction does\nnot survive such relicensing or conveying.\n\n  If you add terms to a covered work in accord with this section, you\nmust place, in the relevant source files, a statement of the\nadditional terms that apply to those files, or a notice indicating\nwhere to find the applicable terms.\n\n  Additional terms, permissive or non-permissive, may be stated in the\nform of a separately written license, or stated as exceptions;\nthe above requirements apply either way.\n\n  8. Termination.\n\n  You may not propagate or modify a covered work except as expressly\nprovided under this License.  Any attempt otherwise to propagate or\nmodify it is void, and will automatically terminate your rights under\nthis License (including any patent licenses granted under the third\nparagraph of section 11).\n\n  However, if you cease all violation of this License, then your\nlicense from a particular copyright holder is reinstated (a)\nprovisionally, unless and until the copyright holder explicitly and\nfinally terminates your license, and (b) permanently, if the copyright\nholder fails to notify you of the violation by some reasonable means\nprior to 60 days after the cessation.\n\n  Moreover, your license from a particular copyright holder is\nreinstated permanently if the copyright holder notifies you of the\nviolation by some reasonable means, this is the first time you have\nreceived notice of violation of this License (for any work) from that\ncopyright holder, and you cure the violation prior to 30 days after\nyour receipt of the notice.\n\n  Termination of your rights under this section does not terminate the\nlicenses of parties who have received copies or rights from you under\nthis License.  If your rights have been terminated and not permanently\nreinstated, you do not qualify to receive new licenses for the same\nmaterial under section 10.\n\n  9. Acceptance Not Required for Having Copies.\n\n  You are not required to accept this License in order to receive or\nrun a copy of the Program.  Ancillary propagation of a covered work\noccurring solely as a consequence of using peer-to-peer transmission\nto receive a copy likewise does not require acceptance.  However,\nnothing other than this License grants you permission to propagate or\nmodify any covered work.  These actions infringe copyright if you do\nnot accept this License.  Therefore, by modifying or propagating a\ncovered work, you indicate your acceptance of this License to do so.\n\n  10. Automatic Licensing of Downstream Recipients.\n\n  Each time you convey a covered work, the recipient automatically\nreceives a license from the original licensors, to run, modify and\npropagate that work, subject to this License.  You are not responsible\nfor enforcing compliance by third parties with this License.\n\n  An \"entity transaction\" is a transaction transferring control of an\norganization, or substantially all assets of one, or subdividing an\norganization, or merging organizations.  If propagation of a covered\nwork results from an entity transaction, each party to that\ntransaction who receives a copy of the work also receives whatever\nlicenses to the work the party's predecessor in interest had or could\ngive under the previous paragraph, plus a right to possession of the\nCorresponding Source of the work from the predecessor in interest, if\nthe predecessor has it or can get it with reasonable efforts.\n\n  You may not impose any further restrictions on the exercise of the\nrights granted or affirmed under this License.  For example, you may\nnot impose a license fee, royalty, or other charge for exercise of\nrights granted under this License, and you may not initiate litigation\n(including a cross-claim or counterclaim in a lawsuit) alleging that\nany patent claim is infringed by making, using, selling, offering for\nsale, or importing the Program or any portion of it.\n\n  11. Patents.\n\n  A \"contributor\" is a copyright holder who authorizes use under this\nLicense of the Program or a work on which the Program is based.  The\nwork thus licensed is called the contributor's \"contributor version\".\n\n  A contributor's \"essential patent claims\" are all patent claims\nowned or controlled by the contributor, whether already acquired or\nhereafter acquired, that would be infringed by some manner, permitted\nby this License, of making, using, or selling its contributor version,\nbut do not include claims that would be infringed only as a\nconsequence of further modification of the contributor version.  For\npurposes of this definition, \"control\" includes the right to grant\npatent sublicenses in a manner consistent with the requirements of\nthis License.\n\n  Each contributor grants you a non-exclusive, worldwide, royalty-free\npatent license under the contributor's essential patent claims, to\nmake, use, sell, offer for sale, import and otherwise run, modify and\npropagate the contents of its contributor version.\n\n  In the following three paragraphs, a \"patent license\" is any express\nagreement or commitment, however denominated, not to enforce a patent\n(such as an express permission to practice a patent or covenant not to\nsue for patent infringement).  To \"grant\" such a patent license to a\nparty means to make such an agreement or commitment not to enforce a\npatent against the party.\n\n  If you convey a covered work, knowingly relying on a patent license,\nand the Corresponding Source of the work is not available for anyone\nto copy, free of charge and under the terms of this License, through a\npublicly available network server or other readily accessible means,\nthen you must either (1) cause the Corresponding Source to be so\navailable, or (2) arrange to deprive yourself of the benefit of the\npatent license for this particular work, or (3) arrange, in a manner\nconsistent with the requirements of this License, to extend the patent\nlicense to downstream recipients.  \"Knowingly relying\" means you have\nactual knowledge that, but for the patent license, your conveying the\ncovered work in a country, or your recipient's use of the covered work\nin a country, would infringe one or more identifiable patents in that\ncountry that you have reason to believe are valid.\n\n  If, pursuant to or in connection with a single transaction or\narrangement, you convey, or propagate by procuring conveyance of, a\ncovered work, and grant a patent license to some of the parties\nreceiving the covered work authorizing them to use, propagate, modify\nor convey a specific copy of the covered work, then the patent license\nyou grant is automatically extended to all recipients of the covered\nwork and works based on it.\n\n  A patent license is \"discriminatory\" if it does not include within\nthe scope of its coverage, prohibits the exercise of, or is\nconditioned on the non-exercise of one or more of the rights that are\nspecifically granted under this License.  You may not convey a covered\nwork if you are a party to an arrangement with a third party that is\nin the business of distributing software, under which you make payment\nto the third party based on the extent of your activity of conveying\nthe work, and under which the third party grants, to any of the\nparties who would receive the covered work from you, a discriminatory\npatent license (a) in connection with copies of the covered work\nconveyed by you (or copies made from those copies), or (b) primarily\nfor and in connection with specific products or compilations that\ncontain the covered work, unless you entered into that arrangement,\nor that patent license was granted, prior to 28 March 2007.\n\n  Nothing in this License shall be construed as excluding or limiting\nany implied license or other defenses to infringement that may\notherwise be available to you under applicable patent law.\n\n  12. No Surrender of Others' Freedom.\n\n  If conditions are imposed on you (whether by court order, agreement or\notherwise) that contradict the conditions of this License, they do not\nexcuse you from the conditions of this License.  If you cannot convey a\ncovered work so as to satisfy simultaneously your obligations under this\nLicense and any other pertinent obligations, then as a consequence you may\nnot convey it at all.  For example, if you agree to terms that obligate you\nto collect a royalty for further conveying from those to whom you convey\nthe Program, the only way you could satisfy both those terms and this\nLicense would be to refrain entirely from conveying the Program.\n\n  13. Remote Network Interaction; Use with the GNU General Public License.\n\n  Notwithstanding any other provision of this License, if you modify the\nProgram, your modified version must prominently offer all users\ninteracting with it remotely through a computer network (if your version\nsupports such interaction) an opportunity to receive the Corresponding\nSource of your version by providing access to the Corresponding Source\nfrom a network server at no charge, through some standard or customary\nmeans of facilitating copying of software.  This Corresponding Source\nshall include the Corresponding Source for any work covered by version 3\nof the GNU General Public License that is incorporated pursuant to the\nfollowing paragraph.\n\n  Notwithstanding any other provision of this License, you have\npermission to link or combine any covered work with a work licensed\nunder version 3 of the GNU General Public License into a single\ncombined work, and to convey the resulting work.  The terms of this\nLicense will continue to apply to the part which is the covered work,\nbut the work with which it is combined will remain governed by version\n3 of the GNU General Public License.\n\n  14. Revised Versions of this License.\n\n  The Free Software Foundation may publish revised and/or new versions of\nthe GNU Affero General Public License from time to time.  Such new versions\nwill be similar in spirit to the present version, but may differ in detail to\naddress new problems or concerns.\n\n  Each version is given a distinguishing version number.  If the\nProgram specifies that a certain numbered version of the GNU Affero General\nPublic License \"or any later version\" applies to it, you have the\noption of following the terms and conditions either of that numbered\nversion or of any later version published by the Free Software\nFoundation.  If the Program does not specify a version number of the\nGNU Affero General Public License, you may choose any version ever published\nby the Free Software Foundation.\n\n  If the Program specifies that a proxy can decide which future\nversions of the GNU Affero General Public License can be used, that proxy's\npublic statement of acceptance of a version permanently authorizes you\nto choose that version for the Program.\n\n  Later license versions may give you additional or different\npermissions.  However, no additional obligations are imposed on any\nauthor or copyright holder as a result of your choosing to follow a\nlater version.\n\n  15. Disclaimer of Warranty.\n\n  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY\nAPPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT\nHOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM \"AS IS\" WITHOUT WARRANTY\nOF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,\nTHE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR\nPURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM\nIS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF\nALL NECESSARY SERVICING, REPAIR OR CORRECTION.\n\n  16. Limitation of Liability.\n\n  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING\nWILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS\nTHE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY\nGENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE\nUSE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF\nDATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD\nPARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),\nEVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF\nSUCH DAMAGES.\n\n  17. Interpretation of Sections 15 and 16.\n\n  If the disclaimer of warranty and limitation of liability provided\nabove cannot be given local legal effect according to their terms,\nreviewing courts shall apply local law that most closely approximates\nan absolute waiver of all civil liability in connection with the\nProgram, unless a warranty or assumption of liability accompanies a\ncopy of the Program in return for a fee.\n\n                     END OF TERMS AND CONDITIONS\n\n            How to Apply These Terms to Your New Programs\n\n  If you develop a new program, and you want it to be of the greatest\npossible use to the public, the best way to achieve this is to make it\nfree software which everyone can redistribute and change under these terms.\n\n  To do so, attach the following notices to the program.  It is safest\nto attach them to the start of each source file to most effectively\nstate the exclusion of warranty; and each file should have at least\nthe \"copyright\" line and a pointer to where the full notice is found.\n\n    <one line to give the program's name and a brief idea of what it does.>\n    Copyright (C) <year>  <name of author>\n\n    This program is free software: you can redistribute it and/or modify\n    it under the terms of the GNU Affero General Public License as published\n    by the Free Software Foundation, either version 3 of the License, or\n    (at your option) any later version.\n\n    This program is distributed in the hope that it will be useful,\n    but WITHOUT ANY WARRANTY; without even the implied warranty of\n    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n    GNU Affero General Public License for more details.\n\n    You should have received a copy of the GNU Affero General Public License\n    along with this program.  If not, see <http://www.gnu.org/licenses/>.\n\nAlso add information on how to contact you by electronic and paper mail.\n\n  If your software can interact with users remotely through a computer\nnetwork, you should also make sure that it provides a way for users to\nget its source.  For example, if your program is a web application, its\ninterface could display a \"Source\" link that leads users to an archive\nof the code.  There are many ways you could offer source, and different\nsolutions will be better for different programs; see section 13 for the\nspecific requirements.\n\n  You should also get your employer (if you work as a programmer) or school,\nif any, to sign a \"copyright disclaimer\" for the program, if necessary.\nFor more information on this, and how to apply and follow the GNU AGPL, see\n<http://www.gnu.org/licenses/>.\n"
  },
  {
    "path": "README.md",
    "content": "# Transport\n\nThis is the repository of the [french National Access Point](https://transport.data.gouv.fr/) (NAP) for mobility data.\n\nThis project brings a mobility focus on data hosted on [data.gouv.fr](https://www.data.gouv.fr), the french open data portal.\n\nYou will find user documentation at [doc.transport.data.gouv.fr](https://doc.transport.data.gouv.fr).\n\nA status dashboard is available at [https://stats.uptimerobot.com/q7nqyiO9yQ](https://stats.uptimerobot.com/q7nqyiO9yQ) for a part of the project.\n\n# Glossary\n\nA small glossary explaining the various terms can be found in this repo ([glossary.md](glossary.md)). Please feel free to add any term which appears initially foreign there.\n\n# Installation\n\nYou can install this 2 different ways:\n* [manually](#manual_install), this is the best way to install it if you plan to work often on the project.\n* [with docker](#docker_install), this is an easier installation process at the cost of a slightly more cumbersome development workflow.\n\n## Manual installation <a name=\"manual_install\"></a>\n\n### 1. Install Elixir, Node and Yarn\n\nMake sure you have **Elixir**, **Node.js** and **Yarn** installed and up-to-date. **Docker** is optionnally needed if you want to run on your machine the [extra transport tools](https://github.com/etalab/transport-tools).\n\n**Elixir** is often installed with [asdf](https://asdf-vm.com/) since it makes it easy to handle different **Elixir** versions accross projects.\n\nIf you wish to use `asdf` (recommended), make sure to install the correct plugins:\n\n* `asdf plugin add erlang` (https://github.com/asdf-vm/asdf-erlang)\n* `asdf plugin add elixir` (https://github.com/asdf-vm/asdf-elixir)\n* `asdf plugin add nodejs` (https://github.com/asdf-vm/asdf-nodejs)\n\nInstallation for Erlang, Elixir and Node.js can then be done with:\n* `asdf install`\n\nFor Yarn, bring your version or also use asdf:\n* `asdf plugin add yarn` (https://github.com/twuni/asdf-yarn)\n* `asdf install yarn latest` (or any other version)\n* `asdf set -u yarn latest`\n\n### 2. Install PostgreSQL\n\nYou also need an up-to-date PostgreSQL with Postgis installed. Version 14+ is recommended.\n\nFor Mac users, you can use https://postgresapp.com/.\n\n### 3. Build project\n\n  * Install Elixir dependencies with `mix deps.get`\n  * Install Node.js dependencies with `mix yarn install`\n\n## Docker installation\n\nAlternatively, you can use Docker, see the [Docker section](#docker-installation-).\n\n## Prepare the PostgreSQL database\n\n### Creating a database\n\nMake sure you have a postgres user with postgres password, and that the identification methode is set to md5 in your `pg_hba.conf` file.\n\nCreate the database with the command `mix ecto.create`.\n\nAlternatively, you can create it manually. With the permission to create a database (on Debian based system, you need to be logged as `postgres`), type\n`createdb transport_repo`.\n\n### Applying the migrations\n\nTo have an up to date database schema run `mix ecto.migrate`.\n\n### Restoring the production database\n\nThe production database does not contains any sensitive data, you can retreive it for dev purpose.\n* You can retrieve the [latest Clever Cloud backup](https://console.clever-cloud.com/organisations/orga_f33ebcbc-4403-4e4c-82f5-12305e0ecb1b/addons/addon_beebaa5e-c3a4-4c57-b124-cf9d1473450a) (you need some permissions to access it, if you don't have them, you can ask someone on the team to give you the database)\n* On the clever-cloud website, under transport-site-postgresql, there is a Backups section with download links.\n* restore the downloaded backup on you database: `./restore_db.sh <path_to_the_backup>`\n\n## Binary CLI dependencies (optional)\n\nThe app uses a number of tools via [transport-tools](https://github.com/etalab/transport-tools).\n\nThey are expected at `./transport-tools` by default (but this can be configured via `:transport_tools_folder` in `config.exs`).\n\nWhen working locally, you may want to have these tools readily available at times.\n\n```\nmkdir transport-tools\ncd transport-tools\n\n# jars are cross-platform, so we can copy them from the container (see `transport-tools` repository for exact naming)\n# here we share the host folder `transport-site/transport-tools` with a folder inside the container named `/tmp-docker-folder`,\n# in order to copy back the exact same jars we use in production\ndocker run --rm -v $(pwd):/tmp-docker-folder ghcr.io/etalab/transport-tools:latest /bin/sh -c \"cp /usr/local/bin/*.jar /tmp-docker-folder\"\n```\n\nFor Rust binaries, you will have to compile them locally and copy them to the same folder.\n\nOnce this is done, make sure to configure your configuration via `:transport_tools_folder`.\n\n# Usage\n\nRun the server with `mix phx.server` and you can visit [`127.0.0.1:5000`](http://127.0.0.1:5000) on your browser.\n\n## Usage of the Elixir Proxy\n\n[`apps/unlock`](https://github.com/etalab/transport-site/tree/master/apps/unlock) is a sub-part of the \"umbrella app\", which is served on its own subdomain (https://proxy.transport.data.gouv.fr for production, https://proxy.prochainement.transport.data.gouv.fr/ for staging).\n\nThe proxy relies on this [yaml configuration](https://github.com/transportdatagouvfr/proxy-config/blob/master/proxy-config.yml) which is currently fetched at runtime once (but can be hot-reloaded via this [backoffice page](https://transport.data.gouv.fr/backoffice/proxy-config)).\n\nEach proxied \"feed\" (currently GTFS-RT data) has a private (target) url hidden from the general public, can be configured with an independent Time-To-Live (TTL), and is exposed as a credential-free public url to the public. When a query occurs, the incoming HTTP connection is kept on hold while the proxy issues a query to the target server, caching the response in RAM based on the configured TTL.\n\nThe backoffice implementation leverages [LiveView](https://github.com/phoenixframework/phoenix_live_view) to provide an automatically updated dashboard view with all the feeds, the size of the latest payload, the latest HTTP code returned by the target etc. Implementation is [here](https://github.com/etalab/transport-site/tree/master/apps/transport/lib/transport_web/live/backoffice).\n\nWhen working in development, instead of fetching the configuration from GitHub, the configuration is taken from a local config file (`config/proxy-config.yml`, see [config](https://github.com/etalab/transport-site/blob/master/config/dev.exs#L3)), in order to make it very easy to play with sample configurations locally.\n\nFor local work, you will have (for now at least) to add `proxy.localhost 127.0.0.1` to your `/etc/hosts` file.\n\nThe app currently routes whatever starts with `proxy.` to the proxy (as implemented [here](https://github.com/etalab/transport-site/blob/master/apps/transport/lib/transport_web/plugs/router.ex)), although in the future we will probably use a more explicit configuration.\n\n## Configuring OAuth to work with demo.data.gouv.fr\n\nBy default the development configuration is very simple and only allows the most basic scenarios.\n\nIf you need to login via `demo.data.gouv.fr`, follow these steps:\n\n* Create or edit `config/dev.secret.exs`\n* Add:\n\n```elixir\nconfig :oauth2, Datagouvfr.Authentication,\n  # go to Clever Cloud staging site and pick `DATAGOUVFR_CLIENT_ID`\n  client_id: \"TODO-REPLACE\",\n  # same but use `DATAGOUVFR_CLIENT_SECRET`\n  client_secret: \"TODO-REPLACE\"\n```\n\nThen make sure to restart the app.\n\nThe rest of the configuration is already set via `dev.exs`, with:\n\n```elixir\nconfig :oauth2, Datagouvfr.Authentication,\n  # SNIP\n  site: \"https://demo.data.gouv.fr\",\n  redirect_uri: \"http://localhost:5000/login/callback\"\n```\n\n# Development\n\n## Testing\n\n### Running the tests\n\nRun the tests with `mix test`\n\nThe application is an [umbrella app](https://elixir-lang.org/getting-started/mix-otp/dependencies-and-umbrella-projects.html). It means that it is split into several sub-projects (that you can see under `/apps`).\n\nTo run tests for a specific app, for example the `transport` or `unlock` app, use this command:\n\n```\n# for apps/transport app\nmix cmd --app transport mix test --color\n# for apps/unlock\nmix cmd --app unlock mix test --color\n\n# or, for a single file, or single test\nmix cmd --app transport mix test --color test/transport_web/integrations/backoffice_test.exs\nmix cmd --app transport mix test --color test/transport_web/integrations/backoffice_test.exs:8\n```\n\nThe filenames must be relative to the app folder. This [will be improved](https://dockyard.com/blog/2019/06/17/testing-in-umbrella-apps-improves-in-elixir-1-9) when we upgrade to a more modern Elixir version.\n\n### Measuring test coverage\n\nWe use [excoveralls](https://github.com/parroty/excoveralls) to measure which parts of the code are covered by testing (or not). This is useful to determine where we can improve the testing quality.\n\nThe following commands will launch the test and generate coverage:\n\n```\n# Display overall (whole app) coverage for all tests in the console\nMIX_ENV=test mix coveralls --umbrella\n# Same with a HTML report\nMIX_ENV=test mix coveralls.html --umbrella\n\n# Display coverage for each umbrella component, rather\nMIX_ENV=test mix coveralls\n```\n\nThe coverage is written on screen by default, or in the `cover` subfolders for HTML output.\n\nRunning in `--umbrella` mode will generate coverage report at the top-level `cover` folder, while running without it will generate reports under each umbrella sub-app (e.g. `apps/transport/cover`).\n\n## Linting\n\n  * Run the elixir linter with `mix credo --strict`\n  * Run the javascript linter with `mix npm \"run linter:ecma\"`\n  * Run the sass linter with `mix npm \"run linter:sass\"`\n\n## Misc Elixir command\n\n### Translations\n\nTo extract all translations from the source, you can run `mix gettext.extract --merge` (and then edit the modified .po files).\n\n### Check all\nTo perform all the checks done on the CI with a single command, you can run `mix check_all`. It will run the different linters, credo, check the translations are up-to-date, and launch the tests.\n\n### DB migrations\n\nTo generate a new migration file:\n`cd apps/transport && mix ecto.gen.migration <name of the migration> && cd ../..`\n\nThe generated [ecto](https://hexdocs.pm/ecto/Ecto.html) migration file will be `apps/transport/priv/repo/migrations/<timestamp>_<name of the migration>.exs`\n\nTo apply all migrations on you database:\n`mix ecto.migrate`\n\n### One shot tasks\n\nSome custom one shot tasks are available.\n\nTo run a custom task: `mix <custom task>`\n\n* `mix Transport.ImportAOMs`: import the aom data from the cerema\n* `mix Transport.ImportCommunes`: import the french communes from data.gouv\n* `mix Transport.ImportEPCI`: import the french EPCI from data.gouv\n* `mix Transport.ImportDepartements`: import the french Départements from data.gouv\n* `mix Transport.OpenApiSpec`: generate an OpenAPI specification file\n\n## Testing emails\n\nTo locally test emails in a dev environment, a Swoosh preview inbox available in your browser at `/dev/mailbox`. Your server needs to be run through iex : `iex -S mix phx.server`.\n\n## Learn more and debug\n\nSee the [learning track document](learning_track.md).\n\n# Docker installation <a name=\"docker_install\"></a>\n\n## Development\n\nIf you don't plan to work a lot on this project, the Docker installation is way easier.\n\nSome environment variables may be needed to configure the app, see the files in the `config` folder.\n\nThen you only need to run:\n  `docker-compose up`\n\nAnd access it at http://localhost:5000\n\nYou can make changes in the repository and those will be applied with hot reload.\n\nYou can run any `mix` command with:\n\n`docker-compose run web mix <cmd>`\n\nFor the tests you also need to add an environment variable:\n\n`docker-compose run -e web mix test`\n\n## Production\n\n  The Dockerfile needed to run the continuous integration is in the project:\n  https://github.com/etalab/transport-ops\n\n  Update it if needed (e.g. updating Elixir’s version) and then update `.circleci/config.yml`.\n\n# Domain names\n\nThe following domain names are currently in use by the deployed Elixir app:\n\n* Production\n  * site: https://transport.data.gouv.fr\n  * jobs: https://workers.transport.data.gouv.fr\n  * proxy: https://proxy.transport.data.gouv.fr\n* Staging\n  * site: https://prochainement.transport.data.gouv.fr\n  * jobs: https://workers.prochainement.transport.data.gouv.fr\n  * proxy: https://proxy.prochainement.transport.gouv.fr\n\nThese names are [configured via a CNAME on Clever Cloud](https://www.clever-cloud.com/doc/administrate/domain-names/#using-personal-domain-names).\n\nThe corresponding SSL certificates are auto-generated via Let's Encrypt and Clever Cloud.\n\n# Uptime monitoring (updown.io)\n\nThe following URLs are currently monitored via updown.io (with email & Mattermost alerts) at various frequencies\n\n* https://transport.data.gouv.fr/health-check (https://updown.io/pl8a) every minute\n* https://workers.transport.data.gouv.fr/health-check (https://updown.io/9sto) every minute\n* https://validation.transport.data.gouv.fr (https://updown.io/gndz) every 5 minutes\n* https://metabase.transport.data.gouv.fr (https://updown.io/f9rd) every 5 minutes\n* https://prochainement.transport.data.gouv.fr/health-check (https://updown.io/2pvz) every 5 minutes\n\n# Useful changelogs\n\n* https://developers.clever-cloud.com/changelog/ for Clever Cloud components (e.g. Postgres)\n* [.tool-versions](.tool-versions) for Elixir & Erlang\n\n# Blog\n\nThe project [blog](https://blog.transport.data.gouv.fr/) code and articles are hosted in the [blog](https://github.com/etalab/transport-site/tree/blog/blog) folder of the blog branch. A specific blog branch has been created with less restrictive merge rules, to allow publishing articles directly from the CMS without needing a github code review.\n\nTechnically, the blog is a hugo static website, enhanced with [netlifyCMS](https://www.netlifycms.org/) that is automatically deployed using Netlify. NetlifyCMS allows github users who have write access to this repo to write and edit articles, without the need to use git nor github.\n\nTo write or edit an article, visit https://blog.transport.data.gouv.fr/admin/.\n\nFor developement purposes, you can run the blog locally. Install [hugo](https://gohugo.io/getting-started/installing/), open a terminal, go the blog folder of the project and run `hugo serve`.\n\n# Troubleshootings\n\n## No usable OpenSSL found (during Erlang installation via ASDF)\nMacOS come with a pre-installed version of LibreSSL which is a fork from OpenSSL.\nThis could cause trouble since it's considered as a \"no usable OpenSSL\" by Erlang.\n\nWe can fix this error in 2 steps :\n1. Install OpenSSL 1.1 (via homebrew for example)\n```\n> brew install --prefix=openssl\n```\n2. Force the use of the installed version when installing erlang by setting the --with-ssl option in the KERL_CONFIGURE_OPTIONS variable.\n```\n> export KERL_CONFIGURE_OPTIONS=\"--with-ssl=$(brew --prefix --installed openssl@1.1)\"\n> asdf install erlang 24.0.4\n```\nSee https://github.com/asdf-vm/asdf-erlang/issues/82.\n"
  },
  {
    "path": "apps/shared/lib/application.ex",
    "content": "defmodule Shared.Application do\n  @moduledoc false\n\n  use Application\n\n  def start(_type, _args) do\n    children = [\n      # Used for streaming component, see possible config at:\n      # https://github.com/keathley/finch#usage\n      {Finch,\n       name: Transport.Finch,\n       pools: %{\n         # slightly larger than default\n         :default => [size: 25]\n       }},\n      {Cachex, name: cache_name()}\n    ]\n\n    opts = [strategy: :one_for_one, name: Shared.Supervisor]\n    Supervisor.start_link(children, opts)\n  end\n\n  def cache_name, do: Shared.Cachex\nend\n"
  },
  {
    "path": "apps/shared/lib/appsignal_filter.ex",
    "content": "defmodule TransportWeb.Plugs.AppSignalFilter do\n  @moduledoc \"\"\"\n  An attempt to reduce the volume of events sent to AppSignal in order to keep a lower bill.\n\n  This sets the namespace to a well-known \"ignore\" value, which must be added to the\n  AppSignal `ignore_namespaces` config value.\n\n  See: https://github.com/etalab/transport-site/issues/3274\n\n  The plug must be activated low-enough in the pipeline, otherwise the \"ignore\" value\n  won't be used and instead the middleware value will take precedence.\n\n  See: https://github.com/appsignal/appsignal-elixir/issues/865\n  \"\"\"\n\n  def init(options), do: options\n\n  def call(%Plug.Conn{} = conn, _opts) do\n    if function_exported?(Appsignal.Tracer, :root_span, 0) do\n      if must_ignore?(conn) do\n        Appsignal.Tracer.root_span() |> Appsignal.Span.set_namespace(\"ignore\")\n      end\n    end\n\n    conn\n  end\n\n  # this method allows us to filter programmatically as needed\n  defp must_ignore?(%Plug.Conn{} = conn) do\n    conn.host =~ ~r/proxy/i\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/cldr.ex",
    "content": "defmodule Transport.Cldr do\n  @moduledoc \"\"\"\n  Declares a backend for Cldr as required.\n  https://hexdocs.pm/ex_cldr_numbers/readme.html#introduction-and-getting-started\n  \"\"\"\n  use Cldr,\n    locales: [\"en\", \"fr\"],\n    providers: [Cldr.Number, Cldr.Calendar, Cldr.Unit, Cldr.List, Cldr.DateTime],\n    default_locale: \"fr\"\nend\n"
  },
  {
    "path": "apps/shared/lib/conditional_json_encoder.ex",
    "content": "defmodule Transport.Shared.ConditionalJSONEncoder do\n  require Logger\n\n  @moduledoc \"\"\"\n  Some of the JSON payloads the app sends are costly to compute, so we're\n  caching them. It is many times (x100) more efficient to store them as\n  an Elixir binary (full string) rather than as detailed Elixir maps, due to\n  both marshalling/unmarshalling costs from ETS, and re-encoding to JSON strings.\n\n  Here we leverage Phoenix \"format encoders\" to override the \"encoding to JSON\"\n  process: if the data is a well-specified tuple indicating that the code calling\n  `render` knows that the payload is already JSON encoded, we'll just pass the data\n  through.\n\n  We are using a tuple rather than just detecting that the data is binary because\n  there could be places where the reply is just a string (e.g. \"OK\"), and this would\n  require JSON encoding.\n\n  This bit of code makes sure we can rely on `render` (common code path) instead of\n  moving to `send_resp` calls to mimic `render` for JSON, so it is a bit more future-proof.\n\n  References:\n  * https://hexdocs.pm/phoenix/1.5.8/Phoenix.Template.html#module-format-encoders\n  * https://github.com/phoenixframework/phoenix/blob/38b3702fd468fea7075cdf996c19c22350fe1eec/lib/phoenix/controller.ex#L271-L286\n\n  Credit goes to Benjamin Milde on Elixir lang slack channel\n  for his help on this.\n  \"\"\"\n\n  def encode_to_iodata!({:skip_json_encoding, data}) when is_binary(data) do\n    Logger.info(\"Skipping JSON encode step (payload is already JSON encoded)\")\n    data\n  end\n\n  def encode_to_iodata!(data) do\n    Phoenix.json_library().encode_to_iodata!(data)\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/data_visualization.ex",
    "content": "defmodule Transport.DataVisualization do\n  @moduledoc \"\"\"\n  Wrapper for DataVisualization\n  \"\"\"\n  @callback has_features(map() | nil) :: boolean()\n  @callback validation_data_vis(any) :: nil | map\n\n  defp impl, do: Application.get_env(:transport, :data_visualization)\n  def has_features(validations), do: impl().has_features(validations)\n  def validation_data_vis(validations), do: impl().validation_data_vis(validations)\nend\n\ndefmodule Transport.DataVisualization.Impl do\n  @moduledoc \"\"\"\n  Extract a geojson from a GTFS validation,\n  in order to provide a data visualization of the validation issues\n  \"\"\"\n  @behaviour Transport.DataVisualization\n\n  @impl Transport.DataVisualization\n  def has_features(nil), do: false\n  def has_features(data_visualization), do: not Enum.empty?(data_visualization[\"features\"])\n\n  @impl Transport.DataVisualization\n  @spec validation_data_vis(any) :: nil | map\n  def validation_data_vis(nil), do: nil\n\n  def validation_data_vis(validations) do\n    validations\n    |> Enum.map(fn {issue_type, issues} -> {issue_type, data_vis_per_issue_type(issues)} end)\n    |> Enum.into(%{})\n  end\n\n  defp data_vis_per_issue_type(issues) do\n    severity = issues |> Enum.at(0) |> Map.get(\"severity\")\n\n    geojson =\n      issues\n      |> Enum.flat_map(fn issue -> get_in(issue, [\"geojson\", \"features\"]) || [] end)\n      |> Enum.reject(&is_nil(&1))\n\n    %{\n      \"severity\" => severity,\n      \"geojson\" => %{\"features\" => geojson, \"type\" => \"FeatureCollection\"}\n    }\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/date_time_display.ex",
    "content": "defmodule Shared.DateTimeDisplay do\n  @moduledoc \"\"\"\n  A module to have a coherent display of dates and times accross the website.\n  The goal is to show date times for Europe/Paris timezone to our users.\n  \"\"\"\n  @doc \"\"\"\n  Formats a date to display depending on the locale\n\n  iex> format_date(~D[2022-03-01], \"fr\")\n  \"01/03/2022\"\n  iex> format_date(~D[2022-03-01], \"en\")\n  \"2022-03-01\"\n  iex> format_date(\"2022-03-01\", \"fr\")\n  \"01/03/2022\"\n  iex> format_date(\"2022-03-01\", \"sauce tomate\")\n  \"01/03/2022\"\n  iex> format_date(\"2022-03-01\", \"en\")\n  \"2022-03-01\"\n  iex> format_date(~U[2022-11-01 00:00:00Z], \"en\")\n  \"2022-11-01\"\n  iex> format_date(\"2022-02-21T14:28:09.366000+00:00\", \"fr\", iso_extended: true)\n  \"21/02/2022\"\n  \"\"\"\n  @spec format_date(binary | Date.t() | DateTime.t(), binary() | nil) :: binary\n  def format_date(%DateTime{} = datetime, locale), do: format_date(DateTime.to_date(datetime), locale)\n  def format_date(%Date{} = date, \"fr\"), do: Calendar.strftime(date, \"%d/%m/%Y\")\n  def format_date(%Date{} = date, \"en\"), do: Calendar.strftime(date, \"%Y-%m-%d\")\n  def format_date(%Date{} = date, _), do: format_date(date, \"fr\")\n\n  def format_date(date, locale) when is_binary(date) do\n    date |> Date.from_iso8601!() |> format_date(locale)\n  end\n\n  def format_date(nil, _), do: \"\"\n\n  def format_date(date, locale, iso_extended: true) do\n    date |> TimeWrapper.parse!(\"{ISO:Extended}\") |> format_date(locale)\n  end\n\n  @doc \"\"\"\n  Display a date from a DateTime\n\n  iex> format_datetime_to_date(~U[2022-03-01T15:00:00Z], \"fr\")\n  \"01/03/2022\"\n  iex> format_datetime_to_date(~U[2022-03-01T15:00:00Z], \"en\")\n  \"2022-03-01\"\n  \"\"\"\n  def format_datetime_to_date(%DateTime{} = dt, locale) do\n    dt |> DateTime.to_date() |> format_date(locale)\n  end\n\n  def format_datetime_to_date(nil, _), do: \"\"\n\n  @doc \"\"\"\n  Formats a date time for display.\n  Input can be in any timezone, outputs is in Europe/Paris timezone.\n\n  iex> format_datetime_to_paris(~U[2022-03-01 15:30:00+00:00], \"fr\")\n  \"01/03/2022 à 16h30 Europe/Paris\"\n  iex> format_datetime_to_paris(~U[2022-03-01 15:30:00+00:00], \"en\")\n  \"2022-03-01 at 16:30 Europe/Paris\"\n  iex> format_datetime_to_paris(~N[2022-03-01 15:30:00.0000], \"en\")\n  \"2022-03-01 at 16:30 Europe/Paris\"\n  iex> format_datetime_to_paris(\"2022-03-01T15:30:00Z\", \"fr\")\n  \"01/03/2022 à 16h30 Europe/Paris\"\n  iex> format_datetime_to_paris(\"2022-03-01T15:30:00Z\", \"sauce tomate\")\n  \"01/03/2022 à 16h30 Europe/Paris\"\n  iex> format_datetime_to_paris(\"2022-03-01T15:30:00+01:00\", \"fr\")\n  \"01/03/2022 à 15h30 Europe/Paris\"\n  iex> format_datetime_to_paris(\"2022-03-01T15:30:00+01:00\", \"fr\")\n  \"01/03/2022 à 15h30 Europe/Paris\"\n  iex> format_datetime_to_paris(\"2022-03-01T15:30:09+01:00\", \"fr\", with_seconds: true)\n  \"01/03/2022 à 15:30:09 Europe/Paris\"\n  iex> format_datetime_to_paris(\"2022-03-01T15:30:00+00:00\", \"en\")\n  \"2022-03-01 at 16:30 Europe/Paris\"\n  iex> format_datetime_to_paris(\"2022-03-01T15:30:09+00:00\", \"en\", with_seconds: true)\n  \"2022-03-01 at 16:30:09 Europe/Paris\"\n  # right before daylight hour change\n  iex> format_datetime_to_paris(\"2022-03-27T00:59+00:00\", \"fr\")\n  \"27/03/2022 à 01h59 Europe/Paris\"\n  # right after daylight hour change\n  iex> format_datetime_to_paris(\"2022-03-27T01:00:00+00:00\", \"fr\")\n  \"27/03/2022 à 03h00 Europe/Paris\"\n  iex> format_datetime_to_paris(\"2022-03-27T01:00:00+00:00\", \"fr\", no_timezone: true)\n  \"27/03/2022 à 03h00\"\n  \"\"\"\n  def format_datetime_to_paris(dt, locale), do: format_datetime_to_paris(dt, locale, [])\n\n  def format_datetime_to_paris(%DateTime{} = dt, locale, options) do\n    format = get_localized_datetime_format(locale, options)\n    format = if Keyword.get(options, :no_timezone), do: format, else: format <> \" Europe/Paris\"\n    dt |> convert_to_paris_time() |> Calendar.strftime(format)\n  end\n\n  def format_datetime_to_paris(%NaiveDateTime{} = ndt, locale, options) do\n    ndt\n    |> convert_to_paris_time()\n    |> format_datetime_to_paris(locale, options)\n  end\n\n  def format_datetime_to_paris(datetime, locale, options) when is_binary(datetime) do\n    datetime\n    |> TimeWrapper.parse!(\"{ISO:Extended}\")\n    |> format_datetime_to_paris(locale, options)\n  end\n\n  def format_datetime_to_paris(nil, _, _), do: \"\"\n\n  @doc \"\"\"\n  Formats time of a date time for display.\n  Input can be in any timezone, outputs is in Europe/Paris timezone.\n\n  iex> format_time_to_paris(~U[2022-03-01 15:30:00+00:00], \"fr\")\n  \"16h30 Europe/Paris\"\n  iex> format_time_to_paris(~U[2022-03-01 15:30:00+00:00], \"en\")\n  \"16:30 Europe/Paris\"\n  iex> format_time_to_paris(~N[2022-03-01 15:30:00.0000], \"en\")\n  \"16:30 Europe/Paris\"\n  iex> format_time_to_paris(\"2022-03-01T15:30:00Z\", \"fr\")\n  \"16h30 Europe/Paris\"\n  iex> format_time_to_paris(\"2022-03-01T15:30:00Z\", \"sauce tomate\")\n  \"16h30 Europe/Paris\"\n  iex> format_time_to_paris(\"2022-03-01T15:30:00+01:00\", \"fr\")\n  \"15h30 Europe/Paris\"\n  iex> format_time_to_paris(\"2022-03-01T15:30:00+01:00\", \"fr\")\n  \"15h30 Europe/Paris\"\n  iex> format_time_to_paris(\"2022-03-01T15:30:09+01:00\", \"fr\", with_seconds: true)\n  \"15:30:09 Europe/Paris\"\n  iex> format_time_to_paris(\"2022-03-01T15:30:00+00:00\", \"en\")\n  \"16:30 Europe/Paris\"\n  iex> format_time_to_paris(\"2022-03-01T15:30:09+00:00\", \"en\", with_seconds: true)\n  \"16:30:09 Europe/Paris\"\n  # right before daylight hour change\n  iex> format_time_to_paris(\"2022-03-27T00:59+00:00\", \"fr\")\n  \"01h59 Europe/Paris\"\n  # right after daylight hour change\n  iex> format_time_to_paris(\"2022-03-27T01:00:00+00:00\", \"fr\")\n  \"03h00 Europe/Paris\"\n  iex> format_time_to_paris(\"2022-03-27T01:00:00+00:00\", \"fr\", no_timezone: true)\n  \"03h00\"\n  \"\"\"\n  def format_time_to_paris(dt, locale) do\n    format_time_to_paris(dt, locale, [])\n  end\n\n  def format_time_to_paris(%DateTime{} = dt, locale, options) do\n    format = get_localized_time_format(locale, options)\n    format = if Keyword.get(options, :no_timezone), do: format, else: format <> \" Europe/Paris\"\n    dt |> convert_to_paris_time() |> Calendar.strftime(format)\n  end\n\n  def format_time_to_paris(%NaiveDateTime{} = ndt, locale, options) do\n    ndt\n    |> convert_to_paris_time()\n    |> format_time_to_paris(locale, options)\n  end\n\n  def format_time_to_paris(datetime, locale, options) when is_binary(datetime) do\n    datetime\n    |> TimeWrapper.parse!(\"{ISO:Extended}\")\n    |> format_time_to_paris(locale, options)\n  end\n\n  def format_time_to_paris(nil, _, _), do: \"\"\n\n  @doc \"\"\"\n  Formats a duration in seconds to display, according to a locale.\n\n  Supported locales: \"fr\" and \"en\".\n\n  iex> format_duration(1, :en)\n  \"1 second\"\n  iex> format_duration(1, Transport.Cldr.Locale.new!(\"en\"))\n  \"1 second\"\n  iex> format_duration(1, \"en\")\n  \"1 second\"\n  iex> format_duration(3, \"en\")\n  \"3 seconds\"\n  iex> format_duration(60, \"en\")\n  \"1 minute\"\n  iex> format_duration(61, \"en\")\n  \"1 minute and 1 second\"\n  iex> format_duration(65, \"en\")\n  \"1 minute and 5 seconds\"\n  iex> format_duration(120, \"en\")\n  \"2 minutes\"\n  iex> format_duration(125, \"en\")\n  \"2 minutes and 5 seconds\"\n  iex> format_duration(3601, \"en\")\n  \"1 hour and 1 second\"\n  iex> format_duration(3661, \"en\")\n  \"1 hour, 1 minute, and 1 second\"\n\n  iex> format_duration(1, :fr)\n  \"1 seconde\"\n  iex> format_duration(1, Transport.Cldr.Locale.new!(\"fr\"))\n  \"1 seconde\"\n  iex> format_duration(1, \"fr\")\n  \"1 seconde\"\n  iex> format_duration(3, \"fr\")\n  \"3 secondes\"\n  iex> format_duration(60, \"fr\")\n  \"1 minute\"\n  iex> format_duration(61, \"fr\")\n  \"1 minute et 1 seconde\"\n  iex> format_duration(65, \"fr\")\n  \"1 minute et 5 secondes\"\n  iex> format_duration(120, \"fr\")\n  \"2 minutes\"\n  iex> format_duration(125, \"fr\")\n  \"2 minutes et 5 secondes\"\n  iex> format_duration(3601, \"fr\")\n  \"1 heure et 1 seconde\"\n  iex> format_duration(3661, \"fr\")\n  \"1 heure, 1 minute et 1 seconde\"\n  \"\"\"\n  @spec format_duration(pos_integer(), atom() | Cldr.LanguageTag.t()) :: binary()\n  def format_duration(duration_in_seconds, locale) do\n    locale = Cldr.Locale.new!(locale, Transport.Cldr)\n\n    duration_in_seconds\n    |> Cldr.Calendar.Duration.new_from_seconds()\n    |> Cldr.Calendar.Duration.to_string!(locale: locale)\n  end\n\n  @doc \"\"\"\n  iex> relative_datetime_in_days(1, \"fr\")\n  \"demain\"\n  iex> relative_datetime_in_days(0, \"fr\")\n  \"aujourd’hui\"\n  iex> relative_datetime_in_days(-1, \"fr\")\n  \"hier\"\n  iex> relative_datetime_in_days(-7, \"en\")\n  \"7 days ago\"\n  \"\"\"\n  @spec relative_datetime_in_days(integer(), binary()) :: binary()\n  def relative_datetime_in_days(days, locale) do\n    Transport.Cldr.DateTime.Relative.to_string!(days, unit: :day, locale: locale)\n  end\n\n  def relative_datetime_in_seconds(seconds, locale) do\n    Transport.Cldr.DateTime.Relative.to_string!(seconds, locale: locale)\n  end\n\n  @spec convert_to_paris_time(DateTime.t() | NaiveDateTime.t()) :: DateTime.t()\n  def convert_to_paris_time(%DateTime{} = dt) do\n    TimeWrapper.convert_to_paris_time(dt)\n  end\n\n  def convert_to_paris_time(%NaiveDateTime{} = ndt) do\n    ndt |> TimeWrapper.convert(\"UTC\") |> convert_to_paris_time()\n  end\n\n  defp get_localized_datetime_format(\"en\" = locale, options) do\n    \"%Y-%m-%d at #{get_localized_time_format(locale, options)}\"\n  end\n\n  defp get_localized_datetime_format(locale, options) do\n    \"%d/%m/%Y à #{get_localized_time_format(locale, options)}\"\n  end\n\n  defp get_localized_time_format(\"en\", options) do\n    if Keyword.get(options, :with_seconds) do\n      \"%H:%M:%S\"\n    else\n      \"%H:%M\"\n    end\n  end\n\n  defp get_localized_time_format(_locale, options) do\n    if Keyword.get(options, :with_seconds) do\n      \"%H:%M:%S\"\n    else\n      \"%Hh%M\"\n    end\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/hasher.ex",
    "content": "defmodule Hasher.Wrapper do\n  @moduledoc \"\"\"\n  A Hasher wrapper, useful for testing purposes\n  \"\"\"\n\n  @callback get_content_hash(binary()) :: binary()\n  def impl, do: Application.get_env(:transport, :hasher_impl)\nend\n\ndefmodule Hasher.Dummy do\n  @moduledoc \"\"\"\n  A dummy module, where everything always has the same dummy hash\n  \"\"\"\n  @behaviour Hasher.Wrapper\n\n  @impl Hasher.Wrapper\n  def get_content_hash(_url), do: \"xxx\"\nend\n\ndefmodule Hasher do\n  @moduledoc \"\"\"\n  Hasher computes the hash sha256 of a file given by\n  an URL or a local path\n  \"\"\"\n  require Logger\n  @behaviour Hasher.Wrapper\n\n  @impl Hasher.Wrapper\n  def get_content_hash(url) do\n    case scheme = URI.parse(url).scheme do\n      s when s in [\"http\", \"https\"] ->\n        get_content_hash_http(url)\n\n      _ ->\n        Logger.warning(\"Cannot process #{scheme |> inspect} url (#{url}) at the moment. Skipping.\")\n        nil\n    end\n  end\n\n  @spec get_content_hash_http(String.t()) :: String.t()\n  def get_content_hash_http(url) do\n    with {:ok, %{headers: headers}} <- HTTPoison.head(url),\n         etag when not is_nil(etag) <- Enum.find_value(headers, &find_etag/1),\n         content_hash <- String.replace(etag, \"\\\"\", \"\") do\n      content_hash\n    else\n      {:error, error} ->\n        Logger.error(fn -> \"error while computing content_hash #{inspect(error)}\" end)\n        nil\n\n      nil ->\n        compute_sha256(url)\n    end\n  end\n\n  @spec compute_sha256(String.t()) :: String.t()\n  def compute_sha256(url) do\n    case HTTPStreamV2.fetch_status_and_hash(url) do\n      {:ok, %{status: 200, hash: hash}} ->\n        hash\n\n      {:error, msg} ->\n        Logger.warning(\"Cannot compute hash for url #{url |> inspect}, returning empty hash. Error : #{msg |> inspect}\")\n\n        # NOTE: this mimics the legacy code, and maybe we could return nil instead, but the whole\n        # thing isn't under tests, so I prefer to keep it like before for now.\n        \"\"\n    end\n  rescue\n    e ->\n      Logger.error(\n        \"Exception #{e |> inspect} occurred during hash computation for url #{url |> inspect}, returning empty hash\"\n      )\n\n      \"\"\n  end\n\n  @spec find_etag(keyword()) :: binary()\n  defp find_etag({\"Etag\", v}), do: v\n  defp find_etag(_), do: nil\n\n  def compute_checksum(stream, algorithm) do\n    stream\n    |> Enum.reduce(:crypto.hash_init(algorithm), fn elm, acc -> :crypto.hash_update(acc, elm) end)\n    |> :crypto.hash_final()\n    |> Base.encode16()\n    |> String.downcase()\n  end\n\n  def get_file_hash(file_path) do\n    file_path\n    |> File.stream!(2048)\n    |> compute_checksum(:sha256)\n  end\n\n  @doc \"\"\"\n  Computes a single sha256 string using a ZIP metadata payload.\n\n  ZIP metadata is produced by `Transport.ZipMetaDataExtractor.extract!/1`.\n\n  iex> zip_hash([%{\"compressed_size\" => 41, \"file_name\" => \"ExportService.checksum.md5\", \"last_modified_datetime\" => \"2017-02-16T05:01:12\", \"sha256\" => \"f0c7216411dec821330ffbebf939bfe73a50707f5e443795a122ec7bef37aa16\", \"uncompressed_size\" => 47}, %{\"compressed_size\" => 115, \"file_name\" => \"agency.txt\", \"last_modified_datetime\" => \"2017-02-16T05:01:12\", \"sha256\" => \"548de694a86ab7d6ac0cd3535b0c3b8bffbabcc818e8d7f5a4b8f17030adf617\", \"uncompressed_size\" => 143}])\n  \"ddb5bc46003dbe71c98edcbbd4d5c6e9a101b8727a749a84ac4e777fd2302732\"\n  \"\"\"\n  def zip_hash(zip_metadata) when is_list(zip_metadata) do\n    zip_metadata\n    |> Enum.sort_by(&get_signature(&1))\n    |> Stream.map(&get_signature(&1))\n    |> compute_checksum(:sha256)\n  end\n\n  @doc \"\"\"\n  Computes the signature of a ZIP metadata item.\n  We concatenate the filename and its sha256 together.\n\n  Using the sha256 alone is not enough because the ZIP archive hash\n  would be the same when renaming files without changing their content.\n\n  iex> get_signature(%{\"compressed_size\" => 41, \"file_name\" => \"file.txt\", \"last_modified_datetime\" => \"2017-02-16T05:01:12\", \"sha256\" => \"f0c7216411dec821330ffbebf939bfe73a50707f5e443795a122ec7bef37aa16\", \"uncompressed_size\" => 47})\n  \"file.txtf0c7216411dec821330ffbebf939bfe73a50707f5e443795a122ec7bef37aa16\"\n  \"\"\"\n  def get_signature(zip_metadata_item) when is_map(zip_metadata_item) do\n    map_get(zip_metadata_item, :file_name) <> map_get(zip_metadata_item, :sha256)\n  end\n\n  defp map_get(map, key) when key in [:sha256, :file_name] do\n    # At the moment zip_metadata may have atom keys (when coming from Elixir)\n    # or string keys (when coming from the database).\n    # Guard is here to prevent against other usages.\n    Map.get(map, key) || Map.get(map, to_string(key))\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/helpers.ex",
    "content": "defmodule Helpers do\n  @moduledoc \"\"\"\n  Helper functions that are used accross the whole project\n  \"\"\"\n  require Logger\n\n  @doc \"\"\"\n  Gets the filename part of an url\n\n  ## Examples\n\n  iex> Helpers.filename_from_url(\"https://example.com/gtfs.zip\")\n  \"gtfs.zip\"\n\n  iex> Helpers.filename_from_url(\"https://example.com/foo/bar/baz/bobette/\")\n  \"bobette\"\n  \"\"\"\n  @spec filename_from_url(binary()) :: binary()\n  def filename_from_url(url) when is_binary(url) do\n    url\n    |> URI.parse()\n    |> Map.get(:path)\n    |> String.trim_trailing(\"/\")\n    |> String.split(\"/\")\n    |> List.last()\n  end\n\n  def filename_from_url(_), do: nil\n\n  @doc \"\"\"\n  Formats numbers.\n\n  See options: https://hexdocs.pm/ex_cldr_numbers/readme.html#primary-public-api\n\n  ## Examples\n\n  iex> Helpers.format_number(12_345)\n  \"12 345\"\n\n  iex> Helpers.format_number(12_345.42)\n  \"12 345,42\"\n\n  iex> Helpers.format_number(12_345, locale: \"en\")\n  \"12,345\"\n  \"\"\"\n  def format_number(n, options \\\\ []) when is_number(n) do\n    {:ok, res} = Transport.Cldr.Number.to_string(n, options)\n    res\n  end\n\n  @doc \"\"\"\n  Formats numbers, allowing for nil to be passed and formatted specifically\n\n  ## Examples\n\n  iex> Helpers.format_number_maybe_nil(12_345, nil_result: \"N/C\")\n  \"12 345\"\n\n  iex> Helpers.format_number_maybe_nil(nil, nil_result: \"N/C\")\n  \"N/C\"\n  \"\"\"\n  def format_number_maybe_nil(nil, options), do: options |> Keyword.fetch!(:nil_result)\n  def format_number_maybe_nil(n, options), do: format_number(n, options |> Keyword.delete(:nil_result))\n\n  @spec last_updated([DB.Resource.t()]) :: binary()\n  def last_updated(resources) do\n    resources\n    |> Enum.map(& &1.last_update)\n    |> case do\n      [] -> nil\n      dates -> dates |> Enum.max(DateTime) |> DateTime.to_iso8601()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/http_stream_v2.ex",
    "content": "defmodule HTTPStreamV2 do\n  @moduledoc \"\"\"\n  A new module able to compute checksum of a given URL via streaming, all\n  while retaining extra information such as HTTP status, body size, and headers.\n  \"\"\"\n\n  @doc \"\"\"\n  Issue a streamed GET request, computing the SHA256 of the payload on the fly,\n  and returning the result as a map:\n\n  ```\n  %{\n    status: 200,\n    hash: \"95ab5b2602d6a21d7efcbc87de641c59f2ecc7510a1aa0d20708f122faf172ca\",\n    headers: [...],\n    body_byte_size: 123456\n  }\n  ```\n\n  The headers are kept around for a variety of reasons. We could use them to follow a redirect,\n  double-check the etag, verify the content type etc.\n  \"\"\"\n\n  # same as HTTPoison\n  @redirect_status [301, 302, 307]\n  @default_allowed_redirects 5\n\n  @spec fetch_status_and_hash(binary(), integer(), integer()) :: {:ok, map()} | {:error, any()}\n  def fetch_status_and_hash(url, max_redirect \\\\ @default_allowed_redirects, redirect_count \\\\ 0)\n\n  def fetch_status_and_hash(_url, max_redirect, redirect_count)\n      when redirect_count > max_redirect do\n    {:error, \"maximum number of redirect reached\"}\n  end\n\n  def fetch_status_and_hash(url, max_redirect, redirect_count) do\n    request = Finch.build(:get, URI.encode(url))\n\n    try do\n      {:ok, result} = Finch.stream(request, Transport.Finch, %{}, &handle_stream_response/2)\n      {:ok, compute_final_hash(result)}\n    catch\n      {:redirect, redirect_url} ->\n        fetch_status_and_hash(redirect_url, max_redirect, redirect_count + 1)\n\n      {:error, e} ->\n        {:error, e}\n    end\n  end\n\n  defp handle_stream_response({:status, status}, acc) do\n    acc\n    |> Map.put(:status, status)\n    |> Map.put(:hash, :crypto.hash_init(:sha256))\n    |> Map.put(:body_byte_size, 0)\n  end\n\n  defp handle_stream_response({:headers, headers}, acc) do\n    case acc.status do\n      status when status in @redirect_status ->\n        headers\n        |> location_header()\n        |> case do\n          nil -> throw({:error, \"no redirection url provided\"})\n          {_, redirect_url} -> throw({:redirect, redirect_url})\n        end\n\n      _ ->\n        acc |> Map.put(:headers, headers)\n    end\n  end\n\n  defp handle_stream_response({:data, data}, acc) do\n    hash = :crypto.hash_update(acc.hash, data)\n    %{acc | hash: hash, body_byte_size: acc[:body_byte_size] + (data |> byte_size)}\n  end\n\n  defp compute_final_hash(result) do\n    hash =\n      result\n      |> Map.fetch!(:hash)\n      |> :crypto.hash_final()\n      |> Base.encode16()\n      |> String.downcase()\n\n    %{result | hash: hash}\n  end\n\n  @spec fetch_status(binary()) :: {:ok, map()} | {:error, any()}\n  def fetch_status(url) do\n    request = Finch.build(:get, URI.encode(url))\n    Finch.stream(request, Transport.Finch, %{}, &handle_stream_status/2)\n  catch\n    # when status is fetched, a throw is used to stop the streaming and exit with the needed information\n    {:status_fetched, status} -> status\n    e -> {:error, e}\n  end\n\n  defp location_header(headers) do\n    headers |> Enum.find(fn {k, _v} -> String.downcase(k) == \"location\" end)\n  end\n\n  defp handle_stream_status({:status, status}, acc) do\n    acc = acc |> Map.put(:status, status)\n\n    if status not in @redirect_status do\n      # we know everything we need to know\n      throw({:status_fetched, {:ok, acc}})\n    end\n\n    acc\n  end\n\n  defp handle_stream_status({:headers, headers}, acc) do\n    acc =\n      headers\n      |> location_header()\n      |> case do\n        nil -> acc\n        {_, url} -> acc |> Map.put(:location, url)\n      end\n\n    throw({:status_fetched, {:ok, acc}})\n  end\n\n  def fetch_status_follow_redirect(\n        url,\n        max_redirect \\\\ @default_allowed_redirects,\n        redirect_count \\\\ 0\n      )\n\n  def fetch_status_follow_redirect(_url, max_redirect, redirect_count)\n      when redirect_count > max_redirect do\n    {:error, \"maximum number of redirect reached\"}\n  end\n\n  def fetch_status_follow_redirect(url, max_redirect, redirect_count) do\n    case fetch_status(url) do\n      {:ok, %{status: status, location: redirect_url}} when status in @redirect_status ->\n        fetch_status_follow_redirect(redirect_url, max_redirect, redirect_count + 1)\n\n      {:ok, %{status: status}} ->\n        {:ok, status}\n\n      _ ->\n        {:error, \"error while fetching status\"}\n    end\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/proxy.ex",
    "content": "defmodule Shared.Proxy do\n  @moduledoc \"\"\"\n  Shared methods useful when proxying requests in our apps.\n  \"\"\"\n\n  @doc \"\"\"\n  A list of HTTP headers that will be forwarded by our proxy.\n\n  For now we use an allowlist we can gradually expand.\n  Make sure to avoid including \"hop-by-hop\" headers here.\n  https://book.hacktricks.xyz/pentesting-web/abusing-hop-by-hop-headers\n  \"\"\"\n  def forwarded_headers_allowlist do\n    [\n      \"content-type\",\n      \"content-length\",\n      \"date\",\n      \"last-modified\",\n      \"etag\"\n    ]\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/req_custom_cache.ex",
    "content": "defmodule Transport.Shared.ReqCustomCache do\n  @moduledoc \"\"\"\n  A simple HTTP cache for `req` that do not use headers. If the file is not found\n  on disk, the download will occur, otherwise response will be read from disk.\n\n  At this point, this module is more designed for development use (with production data)\n  than for production use (in particular, security implications of `:erlang.binary_to_term`\n  and `:erlang.term_to_binary`).\n  \"\"\"\n  require Logger\n\n  def attach(%Req.Request{} = request, options \\\\ []) do\n    request\n    |> Req.Request.register_options([:custom_cache_dir])\n    |> Req.Request.merge_options(options)\n    |> Req.Request.append_request_steps(custom_cache: &request_local_cache_step/1)\n    |> Req.Request.prepend_response_steps(custom_cache: &response_local_cache_step/1)\n  end\n\n  def request_local_cache_step(request) do\n    # NOTE: for now, no expiration is supported, you'll have to wipe-out the cache folder manually\n    # NOTE: race condition here, for parallel queries\n    path = cache_path(request)\n\n    if File.exists?(path) do\n      # Logger.info(\"File found in cache (#{path})\")\n      {request, load_cache(path)}\n    else\n      request\n    end\n  end\n\n  def response_local_cache_step({request, response}) do\n    # NOTE: we'll need a way to let the caller customize which HTTP status codes must result\n    # into caching vs not (e.g. rate limit 429 should ideally not be cached, while 404 should etc)\n    path = cache_path(request)\n\n    unless File.exists?(path) do\n      Logger.info(\"Saving file to cache (#{path})\")\n      write_cache(path, response)\n    end\n\n    {request, response}\n  end\n\n  # https://github.com/wojtekmach/req/blob/102b9aa6c6ff66f00403054a0093c4f06f6abc2f/lib/req/steps.ex#L1268\n  def cache_path(cache_dir, %{method: :get} = request) do\n    cache_key =\n      Enum.join(\n        [\n          request.url.host,\n          Atom.to_string(request.method),\n          :crypto.hash(:sha256, :erlang.term_to_binary(request.url))\n          |> Base.encode16(case: :lower)\n        ],\n        \"-\"\n      )\n\n    Path.join(cache_dir, cache_key)\n  end\n\n  def cache_path(request) do\n    cache_path(request.options[:custom_cache_dir], request)\n  end\n\n  # https://github.com/wojtekmach/req/blob/102b9aa6c6ff66f00403054a0093c4f06f6abc2f/lib/req/steps.ex#L1288-L1290\n  def load_cache(path) do\n    path |> File.read!() |> :erlang.binary_to_term()\n  end\n\n  # https://github.com/wojtekmach/req/blob/102b9aa6c6ff66f00403054a0093c4f06f6abc2f/lib/req/steps.ex#L1283-L1286\n  def write_cache(path, response) do\n    File.mkdir_p!(Path.dirname(path))\n    File.write!(path, :erlang.term_to_binary(response))\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/resource_schema.ex",
    "content": "defmodule Transport.Shared.ResourceSchema do\n  @moduledoc \"\"\"\n  Guess schema names and versions for resources\n  \"\"\"\n  import Helpers, only: [filename_from_url: 1]\n\n  @spec guess_name(map(), binary()) :: binary() | nil\n  @doc \"\"\"\n  Guess a schema name for a resource.\n\n  ## Examples\n\n    iex> guess_name(%{}, \"public-transit\")\n    nil\n\n    iex> guess_name(%{\"format\" => \"json\"}, \"public-transit\")\n    nil\n\n    iex> guess_name(%{\"format\" => \"JSON\", \"url\" => \"https://example.com/zfe_zone_nom.json\"}, \"road-data\")\n    \"etalab/schema-zfe\"\n\n    iex> guess_name(%{\"format\" => \"json\", \"url\" => \"https://example.com/nope.zip\"}, \"road-data\")\n    nil\n\n    iex> guess_name(%{\"schema\" => %{\"name\" => \"etalab/schema-zfe\"}}, \"road-data\")\n    \"etalab/schema-zfe\"\n  \"\"\"\n\n  def guess_name(%{\"schema\" => %{\"name\" => schema}}, _dataset_type) do\n    schema\n  end\n\n  def guess_name(%{\"url\" => url, \"format\" => format}, \"road-data\") do\n    appropriate_format = Enum.member?([\"json\", \"geojson\"], String.downcase(format))\n    appropriate_filename = url |> filename_from_url() |> String.starts_with?(\"zfe\")\n    if appropriate_format and appropriate_filename, do: \"etalab/schema-zfe\"\n  end\n\n  def guess_name(_, _), do: nil\n\n  @spec guess_version(map()) :: binary() | nil\n  @doc \"\"\"\n  Guess a schema version for a resource.\n\n  ## Examples\n\n    iex> guess_version(%{\"schema\" => %{\"version\" => \"1.1\"}})\n    \"1.1\"\n\n    iex> guess_version(%{})\n    nil\n  \"\"\"\n  def guess_version(%{\"schema\" => %{\"version\" => version}}) do\n    version\n  end\n\n  def guess_version(_), do: nil\nend\n"
  },
  {
    "path": "apps/shared/lib/s3.ex",
    "content": "defmodule Transport.S3 do\n  @moduledoc \"\"\"\n  This module contains common code related to S3 object storage.\n  \"\"\"\n  require Logger\n  @type bucket_feature :: :history | :on_demand_validation | :gtfs_diff | :logos | :aggregates\n\n  @spec bucket_name(bucket_feature()) :: binary()\n  def bucket_name(feature) do\n    config = Application.fetch_env!(:transport, :s3_buckets)\n    \"transport-data-gouv-fr-#{Map.fetch!(config, feature)}\"\n  end\n\n  @spec permanent_url(bucket_feature(), binary()) :: binary()\n  def permanent_url(feature, path \\\\ \"\") do\n    base_url = :io_lib.format(Application.fetch_env!(:ex_aws, :cellar_url), [bucket_name(feature)]) |> to_string()\n\n    if String.length(path) > 0 do\n      base_url |> URI.parse() |> URI.append_path(\"/\" <> path) |> URI.to_string()\n    else\n      base_url\n    end\n  end\n\n  @spec bucket_names() :: [binary()]\n  def bucket_names do\n    buckets_response = ExAws.S3.list_buckets() |> Transport.Wrapper.ExAWS.impl().request!()\n    buckets_response.body.buckets |> Enum.map(& &1.name)\n  end\n\n  @spec delete_object!(bucket_feature(), binary()) :: any()\n  def delete_object!(feature, path) do\n    bucket = bucket_name(feature)\n\n    bucket |> ExAws.S3.delete_object(path) |> Transport.Wrapper.ExAWS.impl().request!()\n  end\n\n  @spec stream_to_s3!(bucket_feature(), binary(), binary(), acl: atom(), cache_control: binary()) :: any()\n  def stream_to_s3!(feature, local_path, upload_path, options \\\\ []) do\n    Logger.debug(\"Streaming #{local_path} to #{upload_path}\")\n    options = Keyword.validate!(options, [:cache_control, {:acl, :private}])\n\n    local_path\n    |> ExAws.S3.Upload.stream_file()\n    |> ExAws.S3.upload(Transport.S3.bucket_name(feature), upload_path, options)\n    |> Transport.Wrapper.ExAWS.impl().request!()\n  end\n\n  @spec download_file(bucket_feature(), binary(), binary()) :: any()\n  def download_file(feature, remote_path, local_path) do\n    Logger.debug(\"Downloading #{remote_path} to #{local_path}\")\n\n    feature\n    |> Transport.S3.bucket_name()\n    |> ExAws.S3.download_file(remote_path, local_path)\n    |> Transport.Wrapper.ExAWS.impl().request!()\n  end\n\n  @doc \"\"\"\n  Based on the provided `bucket_feature` (see typespec at top), compute\n  the actual bucket name, and issues a fail-fast get_object response.\n\n  Based on `ExAWS.request!`, so \"will either return the successful response from AWS or raise an exception\"\n\n  See: https://hexdocs.pm/ex_aws/ExAws.html#request!/2\n  \"\"\"\n  @spec get_object!(bucket_feature(), binary()) :: binary()\n  def get_object!(feature, remote_path) do\n    Logger.debug(\"Getting object from #{remote_path} into RAM\")\n\n    feature\n    |> Transport.S3.bucket_name()\n    |> ExAws.S3.get_object(remote_path)\n    |> Transport.Wrapper.ExAWS.impl().request!()\n  end\n\n  @spec download_file!(bucket_feature(), binary(), binary() | :memory) :: ExAws.S3.Download.t()\n  def download_file!(feature, remote_path, dest) do\n    feature\n    |> Transport.S3.bucket_name()\n    |> ExAws.S3.download_file(remote_path, dest)\n    |> Transport.Wrapper.ExAWS.impl().request!()\n  end\n\n  @spec head_object!(bucket_feature(), binary()) :: map()\n  def head_object!(feature, remote_path) do\n    feature\n    |> Transport.S3.bucket_name()\n    |> ExAws.S3.head_object(remote_path)\n    |> Transport.Wrapper.ExAWS.impl().request!()\n  end\n\n  @spec remote_copy_file!(bucket_feature(), binary(), binary()) :: any()\n  def remote_copy_file!(feature, remote_path_src, remote_path_dest) do\n    bucket = Transport.S3.bucket_name(feature)\n\n    ExAws.S3.put_object_copy(bucket, remote_path_dest, bucket, remote_path_src)\n    |> Transport.Wrapper.ExAWS.impl().request!()\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/sentry_exception_filter.ex",
    "content": "defmodule Transport.Shared.SentryExceptionFilter do\n  @moduledoc \"\"\"\n  This module is used to avoid spamming our Sentry server\n  and thus consuming our events quota.\n\n  See https://hexdocs.pm/sentry/Sentry.html#module-filtering-exceptions.\n\n  Implementation based on\n  https://github.com/getsentry/sentry-elixir/blob/master/lib/sentry/default_event_filter.ex\n  \"\"\"\n  @behaviour Sentry.EventFilter\n\n  @ignored_plug_exceptions [\n    # default ones\n    Phoenix.Router.NoRouteError,\n    Plug.Parsers.RequestTooLarge,\n    Plug.Parsers.BadEncodingError,\n    Plug.Parsers.ParseError,\n    Plug.Parsers.UnsupportedMediaTypeError,\n    # our additions\n    Ecto.NoResultsError,\n    Phoenix.NotAcceptableError\n  ]\n\n  def exclude_exception?(%x{}, :plug) when x in @ignored_plug_exceptions do\n    true\n  end\n\n  # \"Ignore Plug route not found exception\"\n  def exclude_exception?(%FunctionClauseError{function: :do_match, arity: 4}, :plug), do: true\n\n  def exclude_exception?(_exception, _source), do: false\nend\n"
  },
  {
    "path": "apps/shared/lib/syntax_colors.ex",
    "content": "defmodule Transport.Inspect do\n  @moduledoc \"\"\"\n  While creating scripts (`mix run script.exs`), it is useful to\n  color-pretty-print data structures, like `IEx` does.\n\n  This module provides tooling for this.\n  \"\"\"\n\n  # Taken from https://github.com/elixir-lang/elixir/blob/7ec5cc63e67de75816ae018766331fcf9c55faa8/lib/iex/lib/iex/config.ex#L107\n  # which does not publicly expose this currently.\n  @syntax_colors [\n    atom: :cyan,\n    string: :green,\n    number: :yellow,\n    list: :default_color,\n    boolean: :magenta,\n    nil: :magenta,\n    tuple: :default_color,\n    binary: :default_color,\n    map: :default_color\n  ]\n\n  @doc \"\"\"\n  Expose syntax color for use with `IO.inspect`'s `syntax_colors` option\n  \"\"\"\n  def syntax_colors, do: @syntax_colors\n\n  @doc \"\"\"\n  Shortcut to color-pretty-print something easily\n  \"\"\"\n  def pretty_inspect(data) do\n    # NOTE: disabling credo here is not ideal ; we should have an equivalent check instead\n    # to ensure we don't leave stuff like this in the codebase (usually it's a debugging\n    # statement), but that will do for now.\n    # credo:disable-for-next-line Credo.Check.Warning.IoInspect\n    IO.inspect(data, syntax_colors: syntax_colors())\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/time_wrapper.ex",
    "content": "defmodule TimeWrapper do\n  @moduledoc \"\"\"\n  This module concentrates all the calls to `Timex` in a single place.\n\n  The idea behind this module is 1. to reduce our dependency on `Timex`, and\n  2. to ideally gradually replace calls by built-in Elixir `DateTime` calls, since\n  `Timex` filled a void in the language that has been partially filled now.\n  \"\"\"\n\n  # credo:disable-for-this-file Credo.Check.Warning.ForbiddenModule\n\n  def parse!(date_as_string, \"{ISO:Extended}\" = param) do\n    Timex.parse!(date_as_string, param)\n  end\n\n  def parse!(date_as_string, \"{YYYY}{0M}{0D}\" = param) do\n    Timex.parse!(date_as_string, param)\n  end\n\n  # NOTE: try not to use this, we will remove it. This is rfc2822 ;\n  # Plug encodes it, but there is no built-in decoder.\n  def parse!(datetime_as_string, \"{WDshort}, {D} {Mshort} {YYYY} {h24}:{m}:{s} GMT\" = param) do\n    Timex.parse!(datetime_as_string, param)\n  end\n\n  def diff(first, second, :hours = param) do\n    Timex.diff(first, second, param)\n  end\n\n  def now do\n    Timex.now()\n  end\n\n  def shift(dt, months: months) do\n    Timex.shift(dt, months: months)\n  end\n\n  def convert(dt, \"UTC\") do\n    Timex.Timezone.convert(dt, \"UTC\")\n  end\n\n  def convert_to_paris_time(dt) do\n    case Timex.Timezone.convert(dt, \"Europe/Paris\") do\n      %Timex.AmbiguousDateTime{after: dt} -> dt\n      %DateTime{} = dt -> dt\n    end\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/validation/gbfs_validator.ex",
    "content": "defmodule Shared.Validation.GBFSValidator do\n  @moduledoc \"\"\"\n  A module to validate GBFS feeds\n  \"\"\"\n\n  defmodule Summary do\n    @moduledoc \"\"\"\n    A structure holding validation results for a GBFS feed\n    \"\"\"\n    @enforce_keys [:has_errors, :errors_count, :version_detected, :version_validated, :validator_version, :validator]\n    @derive Jason.Encoder\n    defstruct has_errors: false,\n              errors_count: nil,\n              version_detected: nil,\n              version_validated: nil,\n              validator_version: nil,\n              validator: nil\n\n    @type t :: %__MODULE__{\n            has_errors: boolean,\n            errors_count: integer,\n            version_detected: binary,\n            version_validated: binary,\n            validator_version: binary,\n            validator: module\n          }\n  end\n\n  defmodule Wrapper do\n    @moduledoc \"\"\"\n    This behaviour defines the API for a GBFS Validator\n    \"\"\"\n    defp impl, do: Application.get_env(:transport, :gbfs_validator_impl)\n\n    @callback validate(binary()) :: {:ok, Summary.t()} | {:error, binary()}\n    def validate(url), do: impl().validate(url)\n  end\n\n  defmodule HTTPValidatorClient do\n    @moduledoc \"\"\"\n    An HTTP GBFS Validator calling a third party API\n    \"\"\"\n    @timeout 15_000\n\n    @behaviour Wrapper\n    require Logger\n\n    def validate(url) do\n      with {:ok, %{status_code: 200, body: response}} <- call_api(url),\n           {:ok, json} <- Jason.decode(response),\n           {:has_errors_count, true} <- {:has_errors_count, is_integer(json[\"summary\"][\"errorsCount\"])} do\n        {:ok,\n         %Summary{\n           has_errors: json[\"summary\"][\"hasErrors\"],\n           errors_count: json[\"summary\"][\"errorsCount\"],\n           version_detected: json[\"summary\"][\"version\"][\"detected\"],\n           version_validated: json[\"summary\"][\"version\"][\"validated\"],\n           validator_version: json[\"summary\"][\"validatorVersion\"],\n           validator: __MODULE__\n         }}\n      else\n        e ->\n          message = \"impossible to query GBFS Validator: #{inspect(e)}\"\n          Logger.error(message)\n          {:error, message}\n      end\n    end\n\n    defp validator_url, do: Application.fetch_env!(:transport, :gbfs_validator_url)\n\n    defp call_api(url) do\n      body = Jason.encode!(%{url: url})\n      headers = [{\"content-type\", \"application/json\"}, {\"user-agent\", Application.get_env(:transport, :contact_email)}]\n\n      Transport.Shared.Wrapper.HTTPoison.impl().post(validator_url(), body, headers, recv_timeout: @timeout)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/validation/gtfs_validator.ex",
    "content": "defmodule Shared.Validation.GtfsValidator.Wrapper do\n  @moduledoc \"\"\"\n  A wrapper for GtfsValidator\n  \"\"\"\n\n  def impl, do: Application.get_env(:transport, :gtfs_validator, Shared.Validation.GtfsValidator)\nend\n\ndefmodule Shared.Validation.GtfsValidator do\n  @moduledoc \"\"\"\n  GTFS validation module.\n  Generate validation report when validation is done.\n\n  Actually validation is delegated to an external service called via HTTP.\n  \"\"\"\n\n  @behaviour Shared.Validation.Validator\n  alias Shared.Validation.Validator\n\n  require Logger\n\n  @timeout 180_000\n  @url_property_not_set_error \"Property gtfs_validator_url is not set. Set it and restart server\"\n\n  @doc \"\"\"\n  Validate a given GTFS file.\n  GTFS must be a zip file as binary.\n\n  Return {:ok, validation_report} if validation succeed with or without errors.\n  Return {:error} if validation cannot be done.\n  \"\"\"\n  @spec validate(binary()) :: {:ok, map()} | {:error, binary()}\n  def validate(gtfs),\n    do:\n      build_validate_url()\n      |> send_post_request(gtfs)\n      |> handle_validation_response()\n\n  @impl Validator\n  @spec validate_from_url(binary()) :: {:ok, map()} | {:error, binary()}\n  def validate_from_url(gtfs_url),\n    do:\n      gtfs_url\n      |> remote_gtfs_validation_query()\n      |> send_get_request()\n      |> handle_validation_response()\n\n  defp build_validate_url, do: gtfs_validator_base_url() <> \"/validate\"\n\n  def remote_gtfs_validation_query(gtfs_url) do\n    build_validate_url()\n    |> (&(&1 <> \"?url=#{URI.encode_www_form(gtfs_url)}\")).()\n  end\n\n  defp gtfs_validator_base_url do\n    case Application.fetch_env(:transport, :gtfs_validator_url) do\n      {:ok, url} -> url\n      _ -> raise @url_property_not_set_error\n    end\n  end\n\n  defp handle_validation_response({:ok, %{status_code: 200, body: body}}) do\n    case Jason.decode(body) do\n      {:ok, decoded} ->\n        {:ok, decoded}\n\n      {:error, error} ->\n        Logger.error(error)\n        {:error, \"Error while decoding GTFS validator response\"}\n    end\n  end\n\n  defp handle_validation_response({_, %{body: body}}) do\n    Logger.error(body)\n    {:error, \"Error while requesting GTFS validator\"}\n  end\n\n  defp handle_validation_response({:error, _}) do\n    {:error, \"Error while requesting GTFS validator\"}\n  end\n\n  defp http_client, do: Application.fetch_env!(:transport, :httpoison_impl)\n\n  defp send_get_request(url), do: http_client().get(url, [], recv_timeout: @timeout)\n\n  defp send_post_request(url, body), do: http_client().post(url, body, [], recv_timeout: @timeout)\nend\n"
  },
  {
    "path": "apps/shared/lib/validation/validator.ex",
    "content": "defmodule Shared.Validation.Validator do\n  @moduledoc \"\"\"\n  Describe the behaviour of a resource validator.\n  \"\"\"\n\n  # @doc \"\"\"\n  # Validate the given resource.\n  # \"\"\"\n  # # @callback validate(binary()) :: {:ok, map()} | {:error, binary()}\n\n  @doc \"\"\"\n  Validate the resource from the given URL.\n  \"\"\"\n  @callback validate_from_url(binary()) :: {:ok, map()} | {:error, binary()}\nend\n"
  },
  {
    "path": "apps/shared/lib/wrapper/wrapper_httpoison.ex",
    "content": "defmodule Transport.Shared.Wrapper.HTTPoison do\n  @moduledoc \"\"\"\n  Temporary: a HTTPoison wrapper currently used by some modules in\n  order to facilitate the use of mocks.\n\n  Ultimately we will create a central HTTP behaviour with all common calls,\n  and stop using HTTPoison or Finch directly except in lower level parts.\n  \"\"\"\n  def impl, do: Application.get_env(:transport, :httpoison_impl)\nend\n"
  },
  {
    "path": "apps/shared/lib/wrapper/wrapper_req.ex",
    "content": "defmodule Transport.Req.Behaviour do\n  @moduledoc \"\"\"\n  At time of writing, Req does not introduce a behaviour allowing us to \"Mox\", as described here:\n  - https://github.com/wojtekmach/req/issues/143\n  - https://github.com/wojtekmach/req/issues/246\n\n  We introduce an \"above-level\" wrapper with only the specific bits we are interested in,\n  in order to allow the use of Mox during tests.\n  \"\"\"\n\n  # Ref: https://github.com/wojtekmach/req/blob/b40de7b7a0e7cc97a2c398ffcc42aa14962f3963/lib/req.ex#L545\n  @type url() :: URI.t() | String.t()\n  # Simplified version for our needs\n  @callback get(url()) :: {:ok, Req.Response.t()} | {:error, Exception.t()}\n  @callback get(url(), options :: keyword()) :: {:ok, Req.Response.t()} | {:error, Exception.t()}\n\n  @callback get!(url() | keyword() | Req.Request.t()) :: Req.Response.t()\n  @callback get!(url() | keyword() | Req.Request.t(), options :: keyword()) :: Req.Response.t()\n\n  @callback request(request :: Req.Request.t() | keyword()) ::\n              {:ok, Req.Response.t()} | {:error, Exception.t()}\n  @callback request(request :: Req.Request.t() | keyword(), options :: keyword()) ::\n              {:ok, Req.Response.t()} | {:error, Exception.t()}\n\n  @callback delete(url() | keyword() | Req.Request.t()) ::\n              {:ok, Req.Response.t()} | {:error, Exception.t()}\n  @callback delete(url() | keyword() | Req.Request.t(), options :: keyword()) ::\n              {:ok, Req.Response.t()} | {:error, Exception.t()}\nend\n\ndefmodule Transport.Req do\n  @moduledoc \"\"\"\n  The wrapper for the behaviour, which acts as a central access point for `Req` operations.\n  By default the implementation is itself & delegates to `Req` directly. During tests, a Mox\n  # is configured instead\n  \"\"\"\n  def impl, do: Application.get_env(:transport, :req_impl, __MODULE__)\n\n  @behaviour Transport.Req.Behaviour\n  defdelegate get(url, options \\\\ []), to: Req\n  defdelegate get!(url, options \\\\ []), to: Req\n  defdelegate request(request, options \\\\ []), to: Req\n  defdelegate delete(request, options \\\\ []), to: Req\nend\n\ndefmodule Transport.HTTPClient do\n  @moduledoc \"\"\"\n  An experimental Req higher-level wrapper client that we can Mox, supporting\n  easy opt-in cache enabling (crucial for large HTTP development locally).\n  \"\"\"\n\n  def get!(url, options) do\n    {req, options} = setup_cache(options)\n\n    Transport.Req.impl().get!(req, options |> Keyword.merge(url: url))\n  end\n\n  def get(url, options) do\n    {req, options} = setup_cache(options)\n\n    Transport.Req.impl().get(req, options |> Keyword.merge(url: url))\n  end\n\n  defp setup_cache(options) do\n    options =\n      Keyword.validate!(options, [\n        :custom_cache_dir,\n        :decode_body,\n        :compressed,\n        :into,\n        enable_cache: false\n      ])\n\n    req = Req.new()\n\n    {enable_cache, options} = options |> Keyword.pop!(:enable_cache)\n\n    if enable_cache do\n      {req |> Transport.Shared.ReqCustomCache.attach(), options}\n    else\n      {req, options}\n    end\n  end\nend\n"
  },
  {
    "path": "apps/shared/lib/wrapper_ex_aws.ex",
    "content": "defmodule Transport.Wrapper.ExAWS do\n  @moduledoc \"\"\"\n  Central access point for the ExAWS behaviour defined at\n  https://github.com/ex-aws/ex_aws/blob/master/lib/ex_aws/behaviour.ex\n  in order to provide easy mocking during tests.\n  \"\"\"\n\n  def impl, do: Application.get_env(:transport, :ex_aws_impl)\nend\n"
  },
  {
    "path": "apps/shared/meta/schema-irve-dynamique.json",
    "content": "{\n    \"$schema\": \"https://frictionlessdata.io/schemas/table-schema.json\",\n    \"name\": \"schema-irve-dynamique\",\n    \"title\": \"IRVE dynamique\",\n    \"description\": \"Spécification du fichier d'échange relatif aux données concernant la localisation géographique et les caractéristiques techniques des stations et des points de recharge pour véhicules électriques\",\n    \"countryCode\": \"FR\",\n    \"homepage\": \"https://github.com/etalab/schema-irve\",\n    \"path\": \"https://raw.githubusercontent.com/etalab/schema-irve/v2.3.0/dynamique/schema-dynamique.json\",\n    \"resources\": [\n        {\n            \"title\": \"Exemple de fichier IRVE valide\",\n            \"path\": \"https://raw.githubusercontent.com/etalab/schema-irve/v2.3.0/dynamique/exemple-valide-dynamique.csv\"\n        }\n    ],\n    \"sources\": [\n        {\n            \"title\": \"Décret n° 2017-26 du 12 janvier 2017 relatif aux infrastructures de recharge pour véhicules électriques et portant diverses mesures de transposition de la directive 2014/94/UE du Parlement européen et du Conseil du 22 octobre 2014 sur le déploiement d’une infrastructure pour carburants alternatifs\",\n            \"path\": \"https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT000033860620\"\n        },\n        {\n            \"title\": \"Arrêté du 12 janvier 2017 relatif aux données concernant la localisation géographique et les caractéristiques techniques des stations et des points de recharge pour véhicules électriques\",\n            \"path\": \"https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT000033860733\"\n        },\n        {\n            \"title\": \"Arrêté du 12 janvier 2017 précisant les dispositions relatives aux identifiants des unités d’exploitation pour la recharge des véhicules électriques\",\n            \"path\": \"https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT000033860743\"\n        },\n        {\n            \"title\": \"Définition et structure des identifiants attribués par l'Association Française pour l'Itinérance de la Recharge Electrique des Véhicules (AFIREV)\",\n            \"path\": \"http://www.afirev.fr/fr/informations-generales/\"\n        }\n    ],\n    \"created\": \"2022-10-28\",\n    \"lastModified\": \"2024-01-16\",\n    \"version\": \"v2.3.0\",\n    \"contributors\": [\n        {\n            \"title\": \"Geoffrey Aldebert\",\n            \"email\": \"geoffrey.aldebert@data.gouv.fr\",\n            \"organisation\": \"Etalab\",\n            \"role\": \"author\"\n        },\n        {\n            \"title\": \"Christina Laumond\",\n            \"email\": \"christina.laumond@beta.gouv.fr\",\n            \"organisation\": \"transport.data.gouv.fr\",\n            \"role\": \"author\"\n        },\n        {\n            \"title\": \"Thibaut Barrère\",\n            \"email\": \"thibaut.barrere@beta.gouv.fr\",\n            \"organisation\": \"transport.data.gouv.fr\",\n            \"role\": \"author\"\n        }\n    ],\n    \"fields\": [\n        {\n            \"name\": \"id_pdc_itinerance\",\n            \"description\": \"L'identifiant du point de recharge, tel qu'apparaissant dans le schéma statique. Doit permettre de faire le lien entre le dynamique et le statique.\",\n            \"example\": \"FRA68E680210015\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true,\n                \"pattern\": \"^[A-Z]{2}[A-Z0-9]{4,33}$\"\n            }\n        },\n        {\n            \"name\": \"etat_pdc\",\n            \"description\": \"`etat_pdc` caractérise l’état de fonctionnement du point de recharge : est-il en service ou hors service ? En l’absence d’information, etat_pdc sera égal à ‘inconnu’.\",\n            \"example\": \"en_service\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true,\n                \"enum\": [\n                    \"en_service\",\n                    \"hors_service\",\n                    \"inconnu\"\n                ]\n            }\n        },\n        {\n            \"name\": \"occupation_pdc\",\n            \"description\": \"`occupation_pdc` caractérise l’occupation du point de recharge : est-il libre, occupé ou réservé ? En l’absence d’information, occupation_pdc sera égal à ‘inconnu’.\",\n            \"example\": \"occupe\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true,\n                \"enum\": [\n                    \"libre\",\n                    \"occupe\",\n                    \"reserve\",\n                    \"inconnu\"\n                ]\n            }\n        },\n        {\n            \"name\": \"horodatage\",\n            \"description\": \"Indique la date et heure de remontée de l’information publiée, formaté selon la norme ISO 8601\",\n            \"example\": \"2023-01-30T10:27:50+01:00\",\n            \"type\": \"datetime\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"etat_prise_type_2\",\n            \"description\": \"`etat_prise_type_2` indique l’état de fonctionnement du connecteur T2 : est-il fonctionnel ou hors-service ? En l’absence d’information, indiquer ‘inconnu’. En l’absence de connecteur de ce type sur le point de recharge, laisser une chaîne de caractère vide.\",\n            \"example\": \"fonctionnel\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false,\n                \"enum\": [\n                    \"fonctionnel\",\n                    \"hors_service\",\n                    \"inconnu\"\n                ]\n            }\n        },\n        {\n            \"name\": \"etat_prise_type_combo_ccs\",\n            \"description\": \"`etat_prise_type_combo_ccs` indique l’état de fonctionnement du connecteur Combo CCS : est-il fonctionnel ou hors-service ? En l’absence d’information, indiquer ‘inconnu’. En l’absence de connecteur de ce type sur le point de recharge, laisser une chaîne de caractère vide.\",\n            \"example\": \"hors_service\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false,\n                \"enum\": [\n                    \"fonctionnel\",\n                    \"hors_service\",\n                    \"inconnu\"\n                ]\n            }\n        },\n        {\n            \"name\": \"etat_prise_type_chademo\",\n            \"description\": \"`etat_prise_type_chademo` indique l’état de fonctionnement du connecteur Chademo : est-il fonctionnel ou hors-service ? En l’absence d’information, indiquer ‘inconnu’. En l’absence de connecteur de ce type sur le point de recharge, laisser une chaîne de caractère vide.\",\n            \"example\": \"inconnu\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false,\n                \"enum\": [\n                    \"fonctionnel\",\n                    \"hors_service\",\n                    \"inconnu\"\n                ]\n            }\n        },\n        {\n            \"name\": \"etat_prise_type_ef\",\n            \"description\": \"`etat_prise_type_ef` indique l’état de fonctionnement du connecteur EF : est-il fonctionnel ou hors-service ? En l’absence d’information, indiquer ‘inconnu’. En l’absence de connecteur de ce type sur le point de recharge, laisser une chaîne de caractère vide.\",\n            \"example\": \"fonctionnel\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false,\n                \"enum\": [\n                    \"fonctionnel\",\n                    \"hors_service\",\n                    \"inconnu\"\n                ]\n            }\n        }\n    ],\n    \"missingValues\": [\n        \"\"\n    ]\n}"
  },
  {
    "path": "apps/shared/meta/schema-irve-statique.json",
    "content": "{\n    \"$schema\": \"https://frictionlessdata.io/schemas/table-schema.json\",\n    \"name\": \"schema-irve-statique\",\n    \"title\": \"IRVE statique\",\n    \"description\": \"Spécification du fichier d'échange relatif aux données concernant la localisation géographique et les caractéristiques techniques des stations et des points de recharge pour véhicules électriques\",\n    \"countryCode\": \"FR\",\n    \"homepage\": \"https://github.com/etalab/schema-irve\",\n    \"path\": \"https://raw.githubusercontent.com/etalab/schema-irve/v2.3.0/statique/schema-statique.json\",\n    \"resources\": [\n        {\n            \"title\": \"Exemple de fichier IRVE valide\",\n            \"path\": \"https://raw.githubusercontent.com/etalab/schema-irve/v2.3.0/statique/exemple-valide-statique.csv\"\n        }\n    ],\n    \"sources\": [\n        {\n            \"title\": \"Décret n° 2017-26 du 12 janvier 2017 relatif aux infrastructures de recharge pour véhicules électriques et portant diverses mesures de transposition de la directive 2014/94/UE du Parlement européen et du Conseil du 22 octobre 2014 sur le déploiement d’une infrastructure pour carburants alternatifs\",\n            \"path\": \"https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT000033860620\"\n        },\n        {\n            \"title\": \"Arrêté du 12 janvier 2017 relatif aux données concernant la localisation géographique et les caractéristiques techniques des stations et des points de recharge pour véhicules électriques\",\n            \"path\": \"https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT000033860733\"\n        },\n        {\n            \"title\": \"Arrêté du 12 janvier 2017 précisant les dispositions relatives aux identifiants des unités d’exploitation pour la recharge des véhicules électriques\",\n            \"path\": \"https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT000033860743\"\n        },\n        {\n            \"title\": \"Définition et structure des identifiants attribués par l'Association Française pour l'Itinérance de la Recharge Electrique des Véhicules (AFIREV)\",\n            \"path\": \"http://www.afirev.fr/fr/informations-generales/\"\n        }\n    ],\n    \"created\": \"2018-06-29\",\n    \"lastModified\": \"2022-10-10\",\n    \"version\": \"v2.3.0\",\n    \"contributors\": [\n        {\n            \"title\": \"Alexandre Bulté\",\n            \"email\": \"validation@data.gouv.fr\",\n            \"organisation\": \"Etalab\",\n            \"role\": \"author\"\n        },\n        {\n            \"title\": \"Charles Nepote\",\n            \"email\": \"charles.nepote@fing.org\",\n            \"role\": \"contributor\"\n        },\n        {\n            \"title\": \"Pierre Dittgen\",\n            \"email\": \"pierre.dittgen@jailbreak.paris\",\n            \"organisation\": \"Jailbreak\",\n            \"role\": \"contributor\"\n        },\n        {\n            \"title\": \"Johan Richer\",\n            \"email\": \"johan.richer@jailbreak.paris\",\n            \"organisation\": \"Jailbreak\",\n            \"role\": \"contributor\"\n        },\n        {\n            \"title\": \"Geoffrey Aldebert\",\n            \"email\": \"geoffrey.aldebert@data.gouv.fr\",\n            \"organisation\": \"Etalab\",\n            \"role\": \"contributor\"\n        },\n        {\n            \"title\": \"Julien Barreteau\",\n            \"email\": \"julien.barreteau@developpement-durable.gouv.fr\",\n            \"organisation\": \"DGEC\",\n            \"role\": \"contributor\"\n        },\n        {\n            \"title\": \"Antoine Augusti\",\n            \"email\": \"antoine.augusti@transport.data.gouv.fr\",\n            \"organisation\": \"DINUM\",\n            \"role\": \"contributor\"\n        },\n        {\n            \"title\": \"Christina Laumond\",\n            \"email\": \"christina.laumond@transport.data.gouv.fr\",\n            \"organisation\": \"transport.data.gouv.fr\",\n            \"role\": \"contributor\"\n        },\n        {\n            \"title\": \"Thibaut Barrère\",\n            \"email\": \"thibaut.barrere@transport.data.gouv.fr\",\n            \"organisation\": \"transport.data.gouv.fr\",\n            \"role\": \"contributor\"\n        },\n        {\n            \"title\": \"Francis Chabouis\",\n            \"email\": \"francis.chabouis@beta.gouv.fr\",\n            \"organisation\": \"transport.data.gouv.fr\",\n            \"role\": \"contributor\"\n        }\n    ],\n    \"fields\": [\n        {\n            \"name\": \"nom_amenageur\",\n            \"description\": \"La dénomination sociale du nom de l'aménageur, c'est à dire de l'entité publique ou privée propriétaire des infrastructures. Vous pouvez accéder à cette dénomination exacte sur le site annuaire-entreprises.data.gouv.fr. Ce champs n'est pas obligatoire car il sera automatiquement renseigné lors de la constitution du fichier global de consolidation des IRVE.\",\n            \"example\": \"Société X, Entité Y\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"siren_amenageur\",\n            \"description\": \"Le numero SIREN de l'aménageur issue de la base SIRENE des entreprises. Vous pouvez récupérer cet identifiant sur le site annuaire-entreprises.data.gouv.fr.\",\n            \"example\": \"130025265\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false,\n                \"pattern\": \"^\\\\d{9}$\"\n            }\n        },\n        {\n            \"name\": \"contact_amenageur\",\n            \"description\": \"Adresse courriel de l'aménageur. Favoriser les adresses génériques de contact. Cette adresse sera utilisée par les services de l'Etat en cas d'anomalie ou de besoin de mise à jour des données.\",\n            \"example\": \"contact@societe-amenageur.com\",\n            \"type\": \"string\",\n            \"format\": \"email\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"nom_operateur\",\n            \"description\": \"La dénomination sociale de l'opérateur. L'opérateur est la personne qui exploite l'infrastructure de recharger pour le compte d'un aménageur dans le cadre d'un contrat ou pour son propre compte s'il est l'aménageur. Vous pouvez accéder à cette dénomination exacte sur le site annuaire-entreprises.data.gouv.fr.\",\n            \"example\": \"Société X, Entité Y\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"contact_operateur\",\n            \"description\": \"Adresse courriel de l'opérateur. Favoriser les adresses génériques de contact.\",\n            \"example\": \"contact@societe-operateur.com\",\n            \"type\": \"string\",\n            \"format\": \"email\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"telephone_operateur\",\n            \"description\": \"Numéro de téléphone permettant de contacter l'opérateur.\",\n            \"example\": \"0111111111\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"nom_enseigne\",\n            \"description\": \"Le nom commercial du réseau.\",\n            \"example\": \"Réseau de recharge ABC\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"id_station_itinerance\",\n            \"description\": \"L'identifiant de la station délivré selon les modalités définies à l'article 10 du décret n° 2017-26 du 12 janvier 2017. Cet ID débute par FR suivi de 3 caractères délivrés par l'AFIREV, suivi de \\\"P\\\" pour \\\"pool\\\" qui veut dire \\\"station\\\" en anglais (https://afirev.fr/fr/informations-generales/). Ne pas ajouter les séparateurs *. Si la station n'est pas en itinérance, merci d'indiquer \\\"Non concerné\\\".\",\n            \"example\": \"FRA68P68021001\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true,\n                \"pattern\": \"(?:(?:^|,)(^[A-Z]{2}[A-Z0-9]{4,33}$|Non concerné))+$\"\n            }\n        },\n        {\n            \"name\": \"id_station_local\",\n            \"description\": \"Identifiant de la station utilisé localement. Si vous n'avez pas d'identifiant unique et que vous souhaitez en récupérer un, vous pouvez vous rendre sur https://heidi.app.etalab.studio. En cas de station qui n'est pas ouverte à l'itinérance, cet identifiant est indispensable.\",\n            \"example\": \"01F2KMMRZVQ5FQY882PCJQAPQ0\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"nom_station\",\n            \"description\": \"Le nom de la station.\",\n            \"example\": \"Picpus, Belleville, Villiers\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"implantation_station\",\n            \"description\": \"Le type d'implantation de la station. \\nPour une station sur voirie, sélectionner \\\"Voirie\\\". \\nPour un parking public, (en ouvrage, en enclos, etc.), sélectionner \\\"Parking public\\\". Ces parkings sont généralement en gestion directe ou déléguée de la collectivité territoriale. \\nPour un parking privé à usage public / parking ouvert (ex: zone commerciale), sélectionner \\\"Parking privé à usage public\\\". \\nPour un parking réservé à la clientèle, aux usagers, sélectionnez \\\"Parking privé réservé à la clientèle\\\" (il s'agit d'un choix de l'aménageur public ou privé sur l'utilisation de son parking. Ex: hôtel, commerce, éventuellement certains bâtiments publics). \\nPour une station dédiée à la recharge rapide dont la durée d'utilisation est généralement limitée à la recharge principalement rapide et dont la première fonction de la station est la recharge et non le stationnement, sélectionner \\\"Station dédiée à la recharge rapide\\\" (ex : aires de service sur axes routiers, stations services, etc.).\",\n            \"example\": \"Parking public\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true,\n                \"enum\": [\n                    \"Voirie\",\n                    \"Parking public\",\n                    \"Parking privé à usage public\",\n                    \"Parking privé réservé à la clientèle\",\n                    \"Station dédiée à la recharge rapide\"\n                ]\n            }\n        },\n        {\n            \"name\": \"adresse_station\",\n            \"description\": \"L'adresse complète de la station : [numéro] [rue] [code postal] [ville].\",\n            \"example\": \"1 avenue de la Paix 75001 Paris\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"code_insee_commune\",\n            \"description\": \"Le code INSEE de la commune d'implantation.\",\n            \"example\": \"21231\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"pattern\": \"^([013-9]\\\\d|2[AB1-9])\\\\d{3}$\",\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"coordonneesXY\",\n            \"description\": \"La longitude suivie de la latitude en degrés décimaux (point comme séparateur décimal) de la localisation de la station exprimée dans le système de coordonnées WGS84 au format [lon,lat].\",\n            \"example\": \"[7.48710500,48.345345]\",\n            \"type\": \"geopoint\",\n            \"format\": \"array\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"nbre_pdc\",\n            \"description\": \"Le nombre de points de recharge sur la station.\",\n            \"example\": \"3\",\n            \"type\": \"integer\",\n            \"constraints\": {\n                \"required\": true,\n                \"minimum\": 0\n            }\n        },\n        {\n            \"name\": \"id_pdc_itinerance\",\n            \"description\": \"L'identifiant du point de recharge délivré selon les modalités définies à l'article 10 du décret n° 2017-26 du 12 janvier 2017. Cet ID débute par FR suivi de 3 caractères délivrés par l'AFIREV, suivi de \\\"E\\\" pour l'équivalent du point de recharge en anglais EVSE - Electric Vehicule Supply Equipment (https://afirev.fr/fr/informations-generales/). Ne pas mettre de séparateur * ou -. Si le point de recharge n'est pas en itinérance, merci d'indiquer \\\"Non concerné\\\".\",\n            \"example\": \"FRA68E680210015\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true,\n                \"pattern\": \"(?:(?:^|,)(^[A-Z]{2}[A-Z0-9]{4,33}$|Non concerné))+$\"\n            }\n        },\n        {\n            \"name\": \"id_pdc_local\",\n            \"description\": \"Identifiant du point de recharge utilisé localement. Si vous n'avez pas d'identifiant unique et que vous souhaitez en récupérer un, vous pouvez vous rendre sur https://heidi.app.etalab.studio. En cas de point de recharge qui n'est pas ouvert à l'itinérance, cet identifiant est indispensable.\",\n            \"example\": \"01F2KNFARDSJG7KEH1YHG4033M\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"puissance_nominale\",\n            \"description\": \"Puissance maximale en kW que peut recevoir un véhicule connecté au point de recharge, déterminée en prenant en compte les capacités techniques propres du point, la puissance souscrite au réseau de distribution et les caractéristiques de l'installation comme le câblage par exemple, mais sans prendre en compte ni les limitations du connecteur ni celles du véhicule.\",\n            \"example\": \"22.00\",\n            \"type\": \"number\",\n            \"constraints\": {\n                \"required\": true,\n                \"minimum\": 0\n            }\n        },\n        {\n            \"name\": \"prise_type_ef\",\n            \"description\": \"Disponibilité d'une prise de type E/F sur le point de recharge. Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux.\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"prise_type_2\",\n            \"description\": \"Disponibilité d'une prise de type 2 sur le point de recharge. Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux.\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"prise_type_combo_ccs\",\n            \"description\": \"Disponibilité d'une prise de type Combo / CCS sur le point de recharge. Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux.\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"prise_type_chademo\",\n            \"description\": \"Disponibilité d'une prise de type Chademo sur le point de recharge. Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux.\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"prise_type_autre\",\n            \"description\": \"Disponibilité d'une prise d'un autre type sur le point de recharge. Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux. Le ou les types de prises sont à préciser dans le champs \\\"observations\\\".\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"gratuit\",\n            \"description\": \"Gratuité de la recharge. Indiquer \\\"true\\\" si le point de recharge est gratuit sans condition d'utilisation, \\\"false\\\" si faux.\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"paiement_acte\",\n            \"description\": \"Possibilité de paiement à l'acte (sans identification ni abonnement). Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux.\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"paiement_cb\",\n            \"description\": \"Possibilité de paiement par carte bancaire (présence d'un terminal de paiement avec une CB). Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux.\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"paiement_autre\",\n            \"description\": \"Possibilité de paiement par un autre moyen (qui peut être précisé dans le champs \\\"observation\\\". Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux.\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"tarification\",\n            \"description\": \"Toutes informations pouvant être apportées concernant les tarification(s) pratiquée(s).\",\n            \"example\": \"0,40€ / kwh pour les non abonnés.\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"condition_acces\",\n            \"description\": \"Éventuelles conditions d’accès à la station, hors gabarit. Dans le cas d'un accès libre sans contrainte matérielle physique (ex : absence de barrière) ni restriction d'usager (ex : borne accessible pour n'importe quel type et modèle de voiture électrique), indiquer \\\"Accès libre\\\". \\nDans le cas d'un accès limité / réservé qui nécessite une identification ou passage d'une barrière, indiquer \\\"Accès réservé\\\" (ce type d'accès inclut les IRVE sur le réseau autoroutier payant - passage péage).\",\n            \"example\": \"Accès libre\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true,\n                \"enum\": [\n                    \"Accès libre\",\n                    \"Accès réservé\"\n                ]\n            }\n        },\n        {\n            \"name\": \"reservation\",\n            \"description\": \"Possibilité de réservation à l'avance d'un point de recharge. Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux.\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"horaires\",\n            \"description\": \"Amplitude d’ouverture de la station. Si ouverte sans interruption indiquer « 24/7» sinon indiquer les horaires sous cette forme : Mo-Fr 08:00-12:00,Mo-Fr 14:00-18:00,Th 08:00-18:00.\",\n            \"example\": \"Mo-Fr 08:00-12:00,Mo-Fr 14:00-18:00,Th 08:00-18:00\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true,\n                \"pattern\": \"(.*?)((\\\\d{1,2}:\\\\d{2})-(\\\\d{1,2}:\\\\d{2})|24/7)\"\n            }\n        },\n        {\n            \"name\": \"accessibilite_pmr\",\n            \"description\": \"Accessibilité du point de recharge aux personnes à mobilité réduite. Dans le cas d'un point de recharge signalisé et réservé PMR, indiquer \\\"Réservé PMR\\\". \\nDans le cas d'une point de recharge non réservé PMR mais accessible PMR, indiquer \\\"Accessible mais non réservé PMR\\\". \\nDans le cas d'un point de recharge non accessible PMR, indiquer \\\"Non accessible\\\"\",\n            \"example\": \"Accessible mais non réservé PMR\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true,\n                \"enum\": [\n                    \"Réservé PMR\",\n                    \"Accessible mais non réservé PMR\",\n                    \"Non accessible\",\n                    \"Accessibilité inconnue\"\n                ]\n            }\n        },\n        {\n            \"name\": \"restriction_gabarit\",\n            \"description\": \"Toutes informations relatives aux restrictions d’accès liées au gabarit des véhicules.\",\n            \"example\": \"Hauteur maximale 2m\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"station_deux_roues\",\n            \"description\": \"La station est-elle réservée aux véhicules à deux roues ? Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux.\",\n            \"example\": false,\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"raccordement\",\n            \"description\": \"Type de raccordement de la station au réseau de distribution d'électricité : direct (point de livraison exclusivement dédié à la station) ou indirect.\",\n            \"example\": \"Direct\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false,\n                \"enum\": [\n                    \"Direct\",\n                    \"Indirect\"\n                ]\n            }\n        },\n        {\n            \"name\": \"num_pdl\",\n            \"description\": \"Numéro du point de livraison d'électricité, y compris en cas de raccordement indirect. Dans le cas d'un territoire desservi par ENEDIS, ce numéro doit compoter 14 chiffres.\",\n            \"example\": \"12345678912345\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"date_mise_en_service\",\n            \"description\": \"Date de mise en service de la station\",\n            \"example\": \"2021-12-30\",\n            \"type\": \"date\",\n            \"format\": \"%Y-%m-%d\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"observations\",\n            \"description\": \"Champ destiné à préciser les modalités d'accès à la recharge, l'accessibilité, le tarif, les horaires d'ouverture, ...\",\n            \"example\": \"Recharge uniquement disponible pendant les horaires d'ouverture du Centre Commercial XY\",\n            \"type\": \"string\",\n            \"constraints\": {\n                \"required\": false\n            }\n        },\n        {\n            \"name\": \"date_maj\",\n            \"description\": \"Date de mise à jour des données\",\n            \"example\": \"2021-12-30\",\n            \"type\": \"date\",\n            \"format\": \"%Y-%m-%d\",\n            \"constraints\": {\n                \"required\": true\n            }\n        },\n        {\n            \"name\": \"cable_t2_attache\",\n            \"description\": \"Champ destiné à préciser si un câble T2 est attaché au point de recharge ou non. Indiquer \\\"true\\\" si vrai, \\\"false\\\" si faux\",\n            \"example\": \"false\",\n            \"type\": \"boolean\",\n            \"constraints\": {\n                \"required\": false\n            }\n        }\n    ],\n    \"missingValues\": [\n        \"\"\n    ]\n}"
  },
  {
    "path": "apps/shared/mix.exs",
    "content": "defmodule Shared.MixProject do\n  use Mix.Project\n\n  def project do\n    [\n      app: :shared,\n      version: \"0.1.0\",\n      build_path: \"../../_build\",\n      config_path: \"../../config/config.exs\",\n      deps_path: \"../../deps\",\n      lockfile: \"../../mix.lock\",\n      elixir: \"~> 1.8\",\n      start_permanent: Mix.env() == :prod,\n      deps: deps(),\n      elixirc_paths: elixirc_paths(Mix.env()),\n      test_coverage: [tool: ExCoveralls],\n      preferred_cli_env: [\n        coveralls: :test,\n        \"coveralls.detail\": :test,\n        \"coveralls.post\": :test,\n        \"coveralls.html\": :test\n      ],\n      listeners: [Phoenix.CodeReloader]\n    ]\n  end\n\n  defp elixirc_paths(:test), do: [\"lib\", \"test/support\"]\n  defp elixirc_paths(_), do: [\"lib\"]\n\n  def application do\n    [\n      mod: {Shared.Application, []},\n      extra_applications: [:logger]\n    ]\n  end\n\n  defp deps do\n    [\n      {:timex, \">= 0.0.0\"},\n      {:httpoison, \">= 0.0.0\"},\n      {:req, \"~> 0.5\"},\n      {:bypass, \"~> 2.1\", only: :test},\n      {:mox, \"~> 1.1\", only: :test},\n      # Mint is used by our HttpStream shared component, so we add an explicity dependency\n      {:mint, \"~> 1.2\"},\n      # Finch is used for built-in streaming\n      {:finch, \"~> 0.8\"},\n      # Required for the ConditionalJSONEncoder shared component, but\n      # there is probably a way to avoid that?\n      {:phoenix, \"~> 1.8.3\"},\n      # The global app config references Sentry.LoggerBackend. We add it in \"shared\"\n      # as an implicit dependency, to ensure `Sentry.LoggerBackend` is always defined,\n      # otherwise running tests for an individual umbrella sub-app will raise error.\n      # A better way to achieve this will be to configure it at runtime, like described\n      # in https://github.com/getsentry/sentry-elixir/pull/472.\n      {:sentry, \"~> 11.0\"},\n      # Similarly, Jason is configured as `json_library` by the main app, so it will\n      # be required no matter what.\n      {:jason, \">= 0.0.0\"},\n      {:ex_cldr_numbers, \"~> 2.0\"},\n      {:ex_cldr_calendars, \"~> 2.4\"},\n      {:ex_cldr_lists, \"~> 2.11\"},\n      {:ex_cldr_units, \"~> 3.17\"},\n      {:ex_cldr_dates_times, \"~> 2.0\"},\n      {:ex_aws, \"~> 2.1\"},\n      {:ex_aws_s3, \"~> 2.0\"},\n      {:cachex, \"~> 4.1\"},\n      {:ex_json_schema, \"~> 0.10\"},\n      # added because of `TransportWeb.Plugs.AppSignalFilter`\n      {:appsignal, \"~> 2.0\"},\n      {:appsignal_phoenix, \"~> 2.0\"},\n      {:dialyxir, \"~> 1.2\", only: [:dev, :test], runtime: false},\n      {:excoveralls, \"~> 0.10\", only: :test}\n    ]\n  end\nend\n"
  },
  {
    "path": "apps/shared/test/data_visualization_test.exs",
    "content": "defmodule Transport.DataVisualizationTest do\n  use ExUnit.Case\n  alias Transport.DataVisualization\n  doctest Transport.DataVisualization\n\n  setup do\n    Mox.stub_with(Transport.DataVisualization.Mock, Transport.DataVisualization.Impl)\n    :ok\n  end\n\n  @validations %{\n    \"ExcessiveSpeed\" => [\n      %{\n        \"details\" => \"computed speed between the stops is 325858.52 km/h (5430975 m travelled in 60 seconds)\",\n        \"geojson\" => %{\n          \"features\" => [\n            %{\n              \"geometry\" => %{\n                \"coordinates\" => [2.449186, 48.796058],\n                \"type\" => \"Point\"\n              },\n              \"properties\" => %{\"id\" => \"near1\", \"name\" => \"Near1\"},\n              \"type\" => \"Feature\"\n            },\n            %{\n              \"geometry\" => %{\"coordinates\" => [0.0, 0.0], \"type\" => \"Point\"},\n              \"properties\" => %{\"id\" => \"null\", \"name\" => \"Null Island\"},\n              \"type\" => \"Feature\"\n            },\n            %{\n              \"geometry\" => %{\n                \"coordinates\" => [[2.449186, 48.796058], [0.0, 0.0]],\n                \"type\" => \"LineString\"\n              },\n              \"properties\" => %{\n                \"details\" => \"computed speed between the stops is 325858.52 km/h (5430975 m travelled in 60 seconds)\"\n              },\n              \"type\" => \"Feature\"\n            }\n          ],\n          \"type\" => \"FeatureCollection\"\n        },\n        \"issue_type\" => \"ExcessiveSpeed\",\n        \"object_id\" => \"near1\",\n        \"object_name\" => \"Near1\",\n        \"object_type\" => \"Stop\",\n        \"related_objects\" => [\n          %{\"id\" => \"null\", \"name\" => \"Null Island\", \"object_type\" => \"Stop\"},\n          %{\"id\" => \"route1\", \"name\" => \"100\", \"object_type\" => \"Route\"}\n        ],\n        \"severity\" => \"Information\"\n      }\n    ]\n  }\n\n  describe \"test the data visualization creation\" do\n    test \"simple data vis from validation only\" do\n      # We want to make sure the new method to create the data_vis\n      # from the validation only has an output similar to the previous method\n      data_vis = DataVisualization.validation_data_vis(@validations)\n\n      assert data_vis |> Map.keys() == [\"ExcessiveSpeed\"]\n\n      excessive_speed = data_vis |> Map.fetch!(\"ExcessiveSpeed\")\n      assert excessive_speed |> Map.keys() == [\"geojson\", \"severity\"]\n\n      features = excessive_speed |> Map.fetch!(\"geojson\") |> Map.fetch!(\"features\")\n\n      assert features |> Enum.frequencies_by(fn %{\"geometry\" => %{\"type\" => type}} -> type end) == %{\n               \"Point\" => 2,\n               \"LineString\" => 1\n             }\n\n      [line_string] = features |> Enum.filter(fn %{\"geometry\" => %{\"type\" => type}} -> type == \"LineString\" end)\n      assert line_string[\"properties\"][\"details\"] |> String.contains?(\"computed speed between the stops\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/shared/test/date_time_display_test.exs",
    "content": "defmodule Shared.DateTimeDisplayTest do\n  use ExUnit.Case\n  doctest Shared.DateTimeDisplay, import: true\nend\n"
  },
  {
    "path": "apps/shared/test/hasher_test.exs",
    "content": "defmodule HasherTest do\n  use ExUnit.Case, async: true\n  import Transport.Test.TestUtils, only: [zip_metadata: 0]\n  doctest Hasher, import: true\n\n  @expected_hash zip_metadata()\n                 |> Enum.map(&(&1[\"file_name\"] <> &1[\"sha256\"]))\n                 |> Enum.sort()\n                 |> Hasher.compute_checksum(:sha256)\n\n  test \"test data is stable\" do\n    assert @expected_hash == \"5609a4551776836f9402cf8f37cc75a8fc115999fc038dad0b967cf9c5bd134f\"\n  end\n\n  test \"hash by streaming a local file\" do\n    content = \"coucou\"\n    hash = :sha256 |> :crypto.hash(content) |> Base.encode16() |> String.downcase()\n    file_path = System.tmp_dir!() |> Path.join(\"coucou_file\")\n    File.write!(file_path, content)\n\n    assert Hasher.get_file_hash(file_path) == hash\n  end\n\n  describe \"hashing zip metadata\" do\n    test \"it works\" do\n      assert Hasher.zip_hash(zip_metadata()) == @expected_hash\n    end\n\n    test \"can shuffle zip files\" do\n      assert Hasher.zip_hash(Enum.shuffle(zip_metadata())) == @expected_hash\n    end\n\n    test \"can handle keys with atoms or strings\" do\n      assert Map.has_key?(zip_metadata() |> Enum.random(), \"sha256\")\n      zip_metadata_atom_keys = zip_metadata() |> Enum.map(&to_atom_keys(&1))\n      assert Map.has_key?(zip_metadata_atom_keys |> Enum.random(), :sha256)\n      assert Hasher.zip_hash(zip_metadata_atom_keys) == @expected_hash\n    end\n\n    test \"hash changes\" do\n      refute Hasher.zip_hash(zip_metadata() |> Enum.take(2)) == @expected_hash\n    end\n  end\n\n  defp to_atom_keys(map) do\n    map |> Map.new(fn {k, v} -> {String.to_atom(k), v} end)\n  end\nend\n"
  },
  {
    "path": "apps/shared/test/helpers/helpers_test.exs",
    "content": "defmodule Helpers.HelpersTest do\n  use ExUnit.Case\n  doctest Helpers, import: true\n\n  test \"last_updated\" do\n    assert nil == Helpers.last_updated([])\n\n    assert \"2023-01-15T05:33:47Z\" ==\n             Helpers.last_updated([\n               %DB.Resource{last_update: ~U[2023-01-15 05:33:47Z]},\n               %DB.Resource{last_update: ~U[2022-03-30 05:33:47Z]}\n             ])\n  end\nend\n"
  },
  {
    "path": "apps/shared/test/http_stream_v2_test.exs",
    "content": "defmodule HTTPStreamV2.Test do\n  use ExUnit.Case, async: true\n\n  setup do\n    bypass = Bypass.open()\n    {:ok, bypass: bypass}\n  end\n\n  test \"streams the content and compute expected information\", %{bypass: bypass} do\n    Bypass.expect_once(bypass, \"GET\", \"/\", fn conn ->\n      conn\n      |> Plug.Conn.put_resp_header(\"hello\", \"header\")\n      |> Plug.Conn.resp(200, \"Contenu classique\")\n    end)\n\n    url = \"http://localhost:#{bypass.port}/\"\n    {:ok, result} = HTTPStreamV2.fetch_status_and_hash(url)\n\n    assert result.status == 200\n    assert result.hash == :sha256 |> :crypto.hash(\"Contenu classique\") |> Base.encode16() |> String.downcase()\n    assert result.body_byte_size == \"Contenu classique\" |> byte_size()\n\n    headers =\n      result.headers\n      |> Enum.filter(fn {key, _val} -> key == \"hello\" end)\n\n    assert headers == [{\"hello\", \"header\"}]\n  end\n\n  test \"streams the content and compute expected information after a redirect\", %{bypass: bypass} do\n    url = \"http://localhost:#{bypass.port}/\"\n\n    # the content is accessible after 2 successive redirects\n    Bypass.expect(bypass, \"GET\", \"/\", fn conn ->\n      conn\n      |> Plug.Conn.put_resp_header(\"location\", \"#{url}page1\")\n      |> Plug.Conn.resp(301, \"\")\n    end)\n\n    Bypass.expect(bypass, \"GET\", \"/page1\", fn conn ->\n      conn\n      |> Plug.Conn.put_resp_header(\"location\", \"#{url}page2\")\n      |> Plug.Conn.resp(301, \"\")\n    end)\n\n    Bypass.expect(bypass, \"GET\", \"/page2\", fn conn ->\n      conn\n      |> Plug.Conn.put_resp_header(\"hello\", \"header\")\n      |> Plug.Conn.resp(200, \"hello world\")\n    end)\n\n    {:ok, result} = HTTPStreamV2.fetch_status_and_hash(url)\n\n    assert result.status == 200\n    assert result.hash == :sha256 |> :crypto.hash(\"hello world\") |> Base.encode16() |> String.downcase()\n    assert result.body_byte_size == \"hello world\" |> byte_size()\n\n    headers =\n      result.headers\n      |> Enum.filter(fn {key, _val} -> key == \"hello\" end)\n\n    assert headers == [{\"hello\", \"header\"}]\n\n    # we get an error if there are two many redirects\n    {:error, \"maximum number of redirect reached\"} = HTTPStreamV2.fetch_status_and_hash(url, _max_redirect = 1)\n  end\n\n  test \"hashing works with url containing caracaters that need to be encoded\", %{bypass: bypass} do\n    # \"|\" needs to be encoded or we'll get a %Mint.HTTPError\n    url = \"http://localhost:#{bypass.port}/?ville=paris|berlin\"\n\n    Bypass.expect(bypass, \"GET\", \"/\", fn conn ->\n      conn\n      |> Plug.Conn.resp(200, \"2 belles villes\")\n    end)\n\n    {:ok, result} = HTTPStreamV2.fetch_status_and_hash(url)\n\n    assert result.status == 200\n  end\n\n  describe \"get a request status by streaming it\" do\n    test \"simple 200 response\", %{bypass: bypass} do\n      Bypass.expect(bypass, \"GET\", \"/\", fn conn ->\n        conn\n        |> Plug.Conn.put_resp_header(\"hello\", \"header\")\n        |> Plug.Conn.resp(200, \"Contenu de la réponse\")\n      end)\n\n      url = \"http://localhost:#{bypass.port}/\"\n\n      result = HTTPStreamV2.fetch_status(url)\n      assert result == {:ok, %{status: 200}}\n\n      result_follow_redirect = HTTPStreamV2.fetch_status_follow_redirect(url)\n      assert result_follow_redirect == {:ok, 200}\n    end\n\n    test \"redirect response\", %{bypass: bypass} do\n      url = \"http://localhost:#{bypass.port}/\"\n\n      Bypass.expect(bypass, \"GET\", \"/\", fn conn ->\n        conn\n        |> Plug.Conn.put_resp_header(\"Location\", \"#{url}here\")\n        |> Plug.Conn.resp(301, \"va voir ailleurs si j'y suis\")\n      end)\n\n      Bypass.expect_once(bypass, \"GET\", \"/here\", fn conn ->\n        conn\n        |> Plug.Conn.resp(200, \"gagné\")\n      end)\n\n      result = HTTPStreamV2.fetch_status(url)\n      assert result == {:ok, %{status: 301, location: \"#{url}here\"}}\n\n      # get the status following redirection\n      result_follow_redirect = HTTPStreamV2.fetch_status_follow_redirect(url)\n      assert result_follow_redirect == {:ok, 200}\n    end\n\n    test \"more redirects than allowed\", %{bypass: bypass} do\n      url = \"http://localhost:#{bypass.port}/\"\n\n      # setup a test with 2 successive redirects\n      Bypass.expect(bypass, \"GET\", \"/\", fn conn ->\n        conn\n        |> Plug.Conn.put_resp_header(\"Location\", \"#{url}1\")\n        |> Plug.Conn.resp(301, \"\")\n      end)\n\n      Bypass.expect(bypass, \"GET\", \"/1\", fn conn ->\n        conn\n        |> Plug.Conn.put_resp_header(\"Location\", \"#{url}2\")\n        |> Plug.Conn.resp(301, \"\")\n      end)\n\n      Bypass.expect(bypass, \"GET\", \"/2\", fn conn ->\n        conn\n        |> Plug.Conn.resp(404, \"\")\n      end)\n\n      # test with 1 redirect allowed\n      assert {:error, \"maximum number of redirect reached\"} == HTTPStreamV2.fetch_status_follow_redirect(url, 1)\n\n      # test with 2 redirects allowed\n      assert {:ok, 404} == HTTPStreamV2.fetch_status_follow_redirect(url, 2)\n    end\n\n    test \"redirect response, but location header not provided\", %{bypass: bypass} do\n      Bypass.expect(bypass, \"GET\", \"/\", fn conn ->\n        conn\n        |> Plug.Conn.resp(301, \"Mais ou est le header ?\")\n      end)\n\n      url = \"http://localhost:#{bypass.port}/\"\n      assert {:ok, 301} == HTTPStreamV2.fetch_status_follow_redirect(url)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/shared/test/resource_schema_test.exs",
    "content": "defmodule Transport.Shared.ResourceSchemaTest do\n  use ExUnit.Case, async: true\n  doctest Transport.Shared.ResourceSchema, import: true\nend\n"
  },
  {
    "path": "apps/shared/test/s3_test.exs",
    "content": "defmodule Transport.S3Test do\n  use ExUnit.Case, async: true\n\n  import Mox\n\n  setup :verify_on_exit!\n\n  test \"bucket_name\" do\n    expected = \"transport-data-gouv-fr-resource-history-test\"\n    assert expected == Transport.S3.bucket_name(:history)\n\n    assert_raise KeyError, fn ->\n      Transport.S3.bucket_name(:foo)\n    end\n  end\n\n  describe \"permanent_url\" do\n    @bucket_name Transport.S3.bucket_name(:history)\n    test \"no path\" do\n      assert \"https://#{@bucket_name}.cellar-c2.services.clever-cloud.com\" == Transport.S3.permanent_url(:history)\n    end\n\n    test \"with path\" do\n      assert \"https://#{@bucket_name}.cellar-c2.services.clever-cloud.com/foo/bar.zip\" ==\n               Transport.S3.permanent_url(:history, \"foo/bar.zip\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/shared/test/support/cache_case.ex",
    "content": "defmodule Shared.CacheCase do\n  @moduledoc \"\"\"\n  This module defines the test case to be used by\n  tests that require access to the Cachex cache.\n  \"\"\"\n  use ExUnit.CaseTemplate\n\n  using do\n    quote do\n      use ExUnit.Case, async: false\n      import Shared.Application, only: [cache_name: 0]\n      import Mox\n\n      setup :verify_on_exit!\n      setup :set_mox_from_context\n\n      setup do\n        Cachex.clear(cache_name())\n        on_exit(fn -> Cachex.clear(cache_name()) end)\n      end\n\n      def assert_cache_key_has_ttl(cache_key, expected_ttl \\\\ 300) do\n        assert_in_delta Cachex.ttl!(cache_name(), cache_key), :timer.seconds(expected_ttl), :timer.seconds(1)\n      end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/shared/test/support/mocks.ex",
    "content": "Mox.defmock(Transport.HTTPoison.Mock, for: HTTPoison.Base)\nMox.defmock(Transport.Req.Mock, for: Transport.Req.Behaviour)\nMox.defmock(Shared.Validation.GBFSValidator.Mock, for: Shared.Validation.GBFSValidator.Wrapper)\nMox.defmock(Transport.DataVisualization.Mock, for: Transport.DataVisualization)\n"
  },
  {
    "path": "apps/shared/test/support/s3_test_utils.ex",
    "content": "defmodule Transport.Test.S3TestUtils do\n  @moduledoc \"\"\"\n  Some utility functions for S3 mocks\n  \"\"\"\n  import Mox\n  import ExUnit.Assertions\n\n  @doc \"\"\"\n  Returns a list of existing bucket names\n  \"\"\"\n  def s3_mock_list_buckets(bucket_names \\\\ []) do\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn request ->\n      assert(request.service == :s3)\n      assert(request.http_method == :get)\n      assert(request.path == \"/\")\n\n      %{body: %{buckets: bucket_names |> Enum.map(&%{name: &1})}}\n    end)\n  end\n\n  def s3_mock_stream_file(start_path: expected_start_path, bucket: expected_bucket) do\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn %ExAws.S3.Upload{\n                              src: %File.Stream{},\n                              bucket: ^expected_bucket,\n                              path: path,\n                              opts: [acl: :public_read],\n                              service: :s3\n                            } ->\n      assert String.starts_with?(path, expected_start_path)\n    end)\n  end\n\n  def s3_mock_stream_file(\n        start_path: expected_start_path,\n        bucket: expected_bucket,\n        acl: expected_acl,\n        file_content: expected_file_content\n      ) do\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn %ExAws.S3.Upload{\n                              src: src = %File.Stream{},\n                              bucket: ^expected_bucket,\n                              path: path,\n                              opts: [acl: ^expected_acl],\n                              service: :s3\n                            } ->\n      assert String.starts_with?(path, expected_start_path)\n      assert src |> Enum.join(\"\\n\") == expected_file_content\n    end)\n  end\n\n  def s3_mock_stream_file(\n        path: expected_path,\n        bucket: expected_bucket,\n        acl: expected_acl,\n        file_content: expected_file_content\n      ) do\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn %ExAws.S3.Upload{\n                              src: src = %File.Stream{},\n                              bucket: ^expected_bucket,\n                              path: ^expected_path,\n                              opts: [acl: ^expected_acl],\n                              service: :s3\n                            } ->\n      assert src |> Enum.join(\"\\n\") == expected_file_content\n      :ok\n    end)\n  end\n\n  def s3_mocks_delete_object(expected_bucket, expected_path) do\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn %ExAws.Operation.S3{\n                              bucket: ^expected_bucket,\n                              path: ^expected_path,\n                              http_method: :delete,\n                              service: :s3\n                            } ->\n      :ok\n    end)\n  end\n\n  def s3_mocks_remote_copy_file(expected_bucket, expected_src_path, expected_dest_path) do\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn %ExAws.Operation.S3{\n                              bucket: ^expected_bucket,\n                              path: ^expected_dest_path,\n                              http_method: :put,\n                              service: :s3,\n                              headers: headers\n                            } ->\n      assert Map.get(headers, \"x-amz-copy-source\") =~ \"/#{expected_bucket}/#{expected_src_path}\"\n      %{body: %{}}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/shared/test/support/test_utils.ex",
    "content": "defmodule Transport.Test.TestUtils do\n  @moduledoc \"\"\"\n  Some useful functions for testing\n  \"\"\"\n\n  @doc \"\"\"\n  Polls `fun` until it returns a truthy value, or fails the test after `timeout_ms`.\n  Useful as a sync barrier in tests where work happens in async tasks.\n  \"\"\"\n  def wait_until(fun, timeout_ms \\\\ 2_000, interval_ms \\\\ 10) do\n    deadline = System.monotonic_time(:millisecond) + timeout_ms\n    do_wait_until(fun, deadline, interval_ms, timeout_ms)\n  end\n\n  defp do_wait_until(fun, deadline, interval_ms, timeout_ms) do\n    if fun.() do\n      :ok\n    else\n      if System.monotonic_time(:millisecond) > deadline do\n        ExUnit.Assertions.flunk(\"wait_until: condition not met within #{timeout_ms}ms\")\n      else\n        Process.sleep(interval_ms)\n        do_wait_until(fun, deadline, interval_ms, timeout_ms)\n      end\n    end\n  end\n\n  def ensure_no_tmp_files!(file_prefix) do\n    tmp_files = System.tmp_dir!() |> File.ls!()\n\n    ExUnit.Assertions.assert(\n      tmp_files |> Enum.filter(fn f -> String.starts_with?(f, file_prefix) end) |> Enum.empty?(),\n      \"tmp files found in #{System.tmp_dir!()}\"\n    )\n  end\n\n  def zip_metadata do\n    # Metadata for shared/test/validation/gtfs.zip\n    [\n      %{\n        \"compressed_size\" => 41,\n        \"file_name\" => \"ExportService.checksum.md5\",\n        \"last_modified_datetime\" => \"2017-02-16T05:01:12\",\n        \"sha256\" => \"f0c7216411dec821330ffbebf939bfe73a50707f5e443795a122ec7bef37aa16\",\n        \"uncompressed_size\" => 47\n      },\n      %{\n        \"compressed_size\" => 115,\n        \"file_name\" => \"agency.txt\",\n        \"last_modified_datetime\" => \"2017-02-16T05:01:12\",\n        \"sha256\" => \"548de694a86ab7d6ac0cd3535b0c3b8bffbabcc818e8d7f5a4b8f17030adf617\",\n        \"uncompressed_size\" => 143\n      },\n      %{\n        \"compressed_size\" => 179,\n        \"file_name\" => \"calendar.txt\",\n        \"last_modified_datetime\" => \"2017-02-16T05:01:12\",\n        \"sha256\" => \"390c446ee520bc63c49f69da16d4fe08bceb0511ff19f8491315b739a60f61d6\",\n        \"uncompressed_size\" => 495\n      },\n      %{\n        \"compressed_size\" => 215,\n        \"file_name\" => \"calendar_dates.txt\",\n        \"last_modified_datetime\" => \"2017-02-16T05:01:12\",\n        \"sha256\" => \"4779cd26ddc1d44c8544cb1be449b0f6b48b65fe8344861ee46bcfa3787f9ba7\",\n        \"uncompressed_size\" => 1197\n      },\n      %{\n        \"compressed_size\" => 82,\n        \"file_name\" => \"routes.txt\",\n        \"last_modified_datetime\" => \"2017-02-16T05:01:12\",\n        \"sha256\" => \"27eadc95f783e85c352c9b6b75cc896d9afd236c58c332597a1fac1c14c1f855\",\n        \"uncompressed_size\" => 102\n      },\n      %{\n        \"compressed_size\" => 1038,\n        \"file_name\" => \"stop_times.txt\",\n        \"last_modified_datetime\" => \"2017-02-16T05:01:12\",\n        \"sha256\" => \"dc452a69b86b07841d5de49705ceea22340d639eebfd6589b379d1b38b9b9da1\",\n        \"uncompressed_size\" => 5128\n      },\n      %{\n        \"compressed_size\" => 251,\n        \"file_name\" => \"stops.txt\",\n        \"last_modified_datetime\" => \"2017-02-16T05:01:12\",\n        \"sha256\" => \"2685fb16434b396f277c7ad593b609574ed01592b48de7001c53beb36b926eca\",\n        \"uncompressed_size\" => 607\n      },\n      %{\n        \"compressed_size\" => 71,\n        \"file_name\" => \"transfers.txt\",\n        \"last_modified_datetime\" => \"2017-02-16T05:01:12\",\n        \"sha256\" => \"269d48635624c4b46968cb649fc5a5a1c2224c2dac1670aa6082516ca0c50f59\",\n        \"uncompressed_size\" => 102\n      },\n      %{\n        \"compressed_size\" => 378,\n        \"file_name\" => \"trips.txt\",\n        \"last_modified_datetime\" => \"2017-02-16T05:01:12\",\n        \"sha256\" => \"dd79f0fb8d2fd0a70cc75f49c5f2cae56b9b2ef83670992d6b195e9806393c24\",\n        \"uncompressed_size\" => 2864\n      }\n    ]\n  end\nend\n"
  },
  {
    "path": "apps/shared/test/test_helper.exs",
    "content": "ExUnit.start()\n"
  },
  {
    "path": "apps/shared/test/time_wrapper_test.exs",
    "content": "defmodule TimeWrapperTest do\n  use ExUnit.Case, async: true\n  doctest TimeWrapper\nend\n"
  },
  {
    "path": "apps/shared/test/validation/gbfs_validator_test.exs",
    "content": "defmodule GBFSValidatorTest do\n  use ExUnit.Case, async: true\n  alias Shared.Validation.GBFSValidator.{HTTPValidatorClient, Summary}\n  import Mox\n\n  setup :verify_on_exit!\n\n  test \"validate GBFS feed\" do\n    Transport.HTTPoison.Mock\n    |> expect(:post, fn url, body, headers, [recv_timeout: 15_000] ->\n      assert %{\"url\" => \"https://example.com/gbfs.json\"} = Jason.decode!(body)\n\n      assert [\n               {\"content-type\", \"application/json\"},\n               {\"user-agent\", \"contact@transport.data.gouv.fr\"}\n             ] == headers\n\n      assert String.starts_with?(url, \"https://gbfs-validator.netlify.app\")\n\n      {:ok,\n       %HTTPoison.Response{\n         status_code: 200,\n         body: \"\"\"\n          {\"summary\":{\"version\":{\"detected\":\"1.1\",\"validated\":\"1.1\"},\"hasErrors\":false,\"errorsCount\":0,\"validatorVersion\":\"31c5325\"}}\n         \"\"\",\n         headers: [{\"Content-Type\", \"application/json\"}]\n       }}\n    end)\n\n    expected = %Summary{\n      errors_count: 0,\n      has_errors: false,\n      version_detected: \"1.1\",\n      version_validated: \"1.1\",\n      validator_version: \"31c5325\",\n      validator: Shared.Validation.GBFSValidator.HTTPValidatorClient\n    }\n\n    assert {:ok, ^expected} = HTTPValidatorClient.validate(\"https://example.com/gbfs.json\")\n  end\n\n  test \"on invalid server response\" do\n    Transport.HTTPoison.Mock\n    |> expect(:post, fn _url, _, _, [recv_timeout: 15_000] -> {:ok, %HTTPoison.Response{status_code: 500}} end)\n\n    {{:error, error}, logs} =\n      ExUnit.CaptureLog.with_log(fn -> HTTPValidatorClient.validate(\"https://example.com/gbfs.json\") end)\n\n    assert String.starts_with?(error, \"impossible to query GBFS Validator\")\n    assert logs =~ \"impossible to query GBFS Validator\"\n  end\n\n  test \"validators send nil validation result\" do\n    Transport.HTTPoison.Mock\n    |> expect(:post, fn url, body, headers, [recv_timeout: 15_000] ->\n      assert %{\"url\" => \"https://example.com/gbfs.json\"} = Jason.decode!(body)\n\n      assert [\n               {\"content-type\", \"application/json\"},\n               {\"user-agent\", \"contact@transport.data.gouv.fr\"}\n             ] == headers\n\n      assert String.starts_with?(url, \"https://gbfs-validator.netlify.app\")\n\n      {:ok,\n       %HTTPoison.Response{\n         status_code: 200,\n         body: Jason.encode!(%{summary: %{errorsCount: nil}}),\n         headers: [{\"Content-Type\", \"application/json\"}]\n       }}\n    end)\n\n    {{:error, \"impossible to query GBFS Validator: {:has_errors_count, false}\"}, logs} =\n      ExUnit.CaptureLog.with_log(fn -> HTTPValidatorClient.validate(\"https://example.com/gbfs.json\") end)\n\n    assert logs =~ \"[error] impossible to query GBFS Validator: {:has_errors_count, false}\"\n  end\n\n  test \"can encode and decode summary\" do\n    encoded_summary =\n      Jason.encode!(%Summary{\n        errors_count: 0,\n        has_errors: false,\n        version_detected: \"1.1\",\n        version_validated: \"1.1\",\n        validator_version: \"31c5325\",\n        validator: :validator_module\n      })\n\n    assert Jason.decode!(encoded_summary) == %{\n             \"errors_count\" => 0,\n             \"has_errors\" => false,\n             # NOTE: the serialized atom does not come back as an atom\n             \"validator\" => \"validator_module\",\n             \"validator_version\" => \"31c5325\",\n             \"version_detected\" => \"1.1\",\n             \"version_validated\" => \"1.1\"\n           }\n  end\nend\n"
  },
  {
    "path": "apps/shared/test/validation/gtfs_validator_test.exs",
    "content": "defmodule GtfsValidatorTest do\n  use ExUnit.Case, async: true\n  doctest Shared.Validation.GtfsValidator\n\n  import Mox\n\n  alias Shared.Validation.GtfsValidator\n\n  setup :verify_on_exit!\n\n  test \"validate gtfs zip file\" do\n    expected_validation_report = %{\"text\" => \"GTFS is great\"}\n\n    create_gtfs()\n    |> tap(&expect_validator_called_with_gtfs_and_return_report(&1, expected_validation_report))\n    |> GtfsValidator.validate()\n    |> assert_validation_report_is(expected_validation_report)\n  end\n\n  test \"validate gtfs url\" do\n    gtfs_url = \"http://my-domain.com/gtfs.zip\"\n    expected_validation_report = %{\"text\" => \"GTFS is great\"}\n\n    expect_validator_called_with_gtfs_url_and_return_report(gtfs_url, expected_validation_report)\n\n    gtfs_url\n    |> GtfsValidator.validate_from_url()\n    |> assert_validation_report_is(expected_validation_report)\n  end\n\n  test \"with a timeout\" do\n    gtfs_url = \"http://example.com/gtfs.zip\"\n    expected_url = \"https://validation.transport.data.gouv.fr/validate?url=#{URI.encode_www_form(gtfs_url)}\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:get, fn ^expected_url, [], [recv_timeout: 180_000] ->\n      {:error, %HTTPoison.Error{reason: :timeout}}\n    end)\n\n    assert {:error, \"Error while requesting GTFS validator\"} == GtfsValidator.validate_from_url(gtfs_url)\n  end\n\n  defp assert_validation_report_is({:ok, obtained_validation_report}, expected_validation_report),\n    do: assert(obtained_validation_report == expected_validation_report)\n\n  defp create_gtfs, do: File.read!(\"#{__DIR__}/gtfs.zip\")\n\n  defp expect_validator_called_with_gtfs_and_return_report(_gtfs, expected_validation_report),\n    do:\n      Transport.HTTPoison.Mock\n      |> expect(\n        :post,\n        fn \"https://validation.transport.data.gouv.fr/validate\", _gtfs, _, _ ->\n          {:ok, %{status_code: 200, body: Jason.encode!(expected_validation_report)}}\n        end\n      )\n\n  defp expect_validator_called_with_gtfs_url_and_return_report(gtfs_url, expected_validation_report),\n    do:\n      Transport.HTTPoison.Mock\n      |> expect(\n        :get,\n        fn obtained_validator_url, _, _ ->\n          # Le validateur doit être appelé en passant le lien de téléchargement du fichier GTFS\n          expected_validator_url =\n            \"https://validation.transport.data.gouv.fr/validate?url=#{URI.encode_www_form(gtfs_url)}\"\n\n          assert obtained_validator_url == expected_validator_url\n\n          {:ok, %{status_code: 200, body: Jason.encode!(expected_validation_report)}}\n        end\n      )\nend\n"
  },
  {
    "path": "apps/transport/client/.prettierignore",
    "content": "node_modules/\npriv/\nbuild/\ndist/\nyarn.lock\npackage.json\n\n# styles handled by stylelint, not prettier\n*.css\n*.scss\n\n# build configs: keep diffs readable, not worth the formatting churn\nwebpack.*.js\n"
  },
  {
    "path": "apps/transport/client/.prettierrc.json",
    "content": "{\n    \"tabWidth\": 4,\n    \"semi\": false,\n    \"singleQuote\": true,\n    \"trailingComma\": \"none\",\n    \"arrowParens\": \"avoid\",\n    \"printWidth\": 120\n}\n"
  },
  {
    "path": "apps/transport/client/eslint.config.mjs",
    "content": "import js from '@eslint/js'\nimport globals from 'globals'\nimport prettier from 'eslint-config-prettier/flat'\n\nexport default [\n    js.configs.recommended,\n    {\n        languageOptions: {\n            ecmaVersion: 'latest',\n            sourceType: 'module',\n            globals: {\n                ...globals.browser,\n                ...globals.node,\n                opts: 'readonly'\n            }\n        },\n        rules: {\n            'no-unused-vars': [\n                'error',\n                {\n                    args: 'after-used',\n                    argsIgnorePattern: '^_',\n                    caughtErrorsIgnorePattern: '^_',\n                    varsIgnorePattern: '^_'\n                }\n            ]\n        }\n    },\n    prettier,\n    {\n        ignores: ['node_modules/', 'priv/', 'build/', 'dist/']\n    }\n]\n"
  },
  {
    "path": "apps/transport/client/javascripts/app.js",
    "content": "import { Socket } from 'phoenix'\nimport { LiveSocket } from 'phoenix_live_view'\nimport Prism from 'prismjs'\nimport format from 'xml-formatter'\n\nconst Hooks = {}\nHooks.SyntaxColoring = {\n    mounted() {\n        this.updated()\n    },\n    updated() {\n        const element = this.el\n        const target = document.getElementById(element.dataset.code)\n        try {\n            target.textContent = format(element.value, {\n                indentation: '  ',\n                filter: node => node.type !== 'Comment',\n                collapseContent: true,\n                lineSeparator: '\\n'\n            })\n        } catch (_) {\n            /* in some cases, the returned content is not XML, in which case the\n               attempt to format fails. We use a catch-all exception to make sure\n               we still display the response properly */\n            target.textContent = element.value\n        }\n        Prism.highlightElement(target)\n    }\n}\nHooks.TextareaAutoexpand = {\n    mounted() {\n        this.el.addEventListener('input', event => {\n            event.target.parentNode.dataset.replicatedValue = event.target.value\n        })\n    }\n}\n\nwindow.addEventListener('phx:backoffice-form-reset', () => {\n    document.getElementById('custom_tag').value = ''\n})\n\nwindow.addEventListener('phx:backoffice-form-owner-reset', () => {\n    document.getElementById('js-owner-input').value = ''\n})\n\nwindow.addEventListener('phx:backoffice-form-spatial-areas-reset', () => {\n    document.getElementById('spatial_areas_search_input').value = ''\n})\n\nwindow.addEventListener('phx:backoffice-form-offer-reset', () => {\n    document.getElementById('js-offer-input').value = ''\n})\n\nwindow.addEventListener('phx:backoffice-form-dataset-subtypes-reset', () => {\n    document.getElementById('js-dataset-subtype-input').value = ''\n})\n\nwindow.addEventListener('phx:gtfs-diff:scroll-to-steps', () => {\n    document.getElementById('gtfs-diff-steps').parentElement.scrollIntoView({ behavior: 'smooth' })\n})\n\nconst csrfToken = document.querySelector(\"meta[name='csrf']\").getAttribute('content')\nconst liveSocket = new LiveSocket('/live', Socket, { hooks: Hooks, params: { _csrf_token: csrfToken } })\nliveSocket.connect()\n\n// Track analytics events for DOM elements by a `data-tracking-category`.\n// The event will be recorded on a click event\n// See https://matomo.org/faq/reports/implement-event-tracking-with-matomo/#how-to-set-up-matomo-event-tracking-with-javascript\ndocument.querySelectorAll('[data-tracking-category]').forEach(el => {\n    el.addEventListener('click', function (event) {\n        const target = event.target\n        const name = target.dataset.trackingName || ''\n        window._paq.push(['trackEvent', target.dataset.trackingCategory, target.dataset.trackingAction, name])\n    })\n})\n\n// expose liveSocket on window for web console debug logs and latency simulation:\n// >> liveSocket.enableDebug()\n// >> liveSocket.enableLatencySim(1000)  // enabled for duration of browser session\n// >> liveSocket.disableLatencySim()\n\n// window.liveSocket = liveSocket\n"
  },
  {
    "path": "apps/transport/client/javascripts/autocomplete.js",
    "content": "/* eslint no-unused-vars: [2, {\"args\": \"after-used\", \"varsIgnorePattern\": \"autoCompletejs\"}] */\n/* global contactId, labels */\n// https://github.com/babel/babel/issues/9849\nrequire('regenerator-runtime')\nconst AutoComplete = require('@tarekraafat/autocomplete.js/dist/autoComplete')\n\ndocument.onkeydown = function (evt) {\n    evt = evt || window.event\n    if (evt.key === 'Escape' || evt.key === 'Esc') {\n        document.querySelector('#autoComplete').value = ''\n        document.querySelector('#autoComplete_list').innerHTML = ''\n    }\n}\n\nconst autoCompletejs = new AutoComplete({\n    data: {\n        src: async () => {\n            const query = document.querySelector('#autoComplete').value\n            const source = await fetch(`/api/autocomplete?q=${query}`)\n            let data = await source.json()\n            data = [\n                {\n                    name: labels['search-description'].replace('$query', query),\n                    value: query,\n                    type: 'description',\n                    position: 1,\n                    url: `/datasets?q=${query}`\n                },\n                ...data.map((el, index) => {\n                    return {\n                        ...el,\n                        value: el.name,\n                        position: index + 2\n                    }\n                })\n            ]\n            return data\n        },\n        key: ['name'],\n        cache: false\n    },\n    selector: '#autoComplete',\n    threshold: 1,\n    debounce: 200,\n    highlight: true,\n    searchEngine: (query, record) => {\n        record = record.name\n        // inspired by the 'loose' searchEngine, but that always matches\n        query = query\n            .replace(/ /g, '')\n            .normalize('NFD')\n            .replace(/[\\u0300-\\u036f]/g, '')\n        const recordLowerCase = record\n            .toLowerCase()\n            .normalize('NFD')\n            .replace(/[\\u0300-\\u036f]/g, '')\n        const fullMatchPos = recordLowerCase.indexOf(query)\n        if (fullMatchPos >= 0) {\n            // full query match has priority\n            return `${record.slice(0, fullMatchPos)}<span class=\"autoComplete_highlighted\">${record.slice(fullMatchPos, fullMatchPos + query.length)}</span>${record.slice(fullMatchPos + query.length)}`\n        } else {\n            const match = []\n            let searchPosition = 0\n            for (let number = 0; number < recordLowerCase.length; number++) {\n                let recordChar = record[number]\n                if (searchPosition < query.length && recordLowerCase[number] === query[searchPosition]) {\n                    recordChar = `<span class=\"autoComplete_highlighted\">${recordChar}</span>`\n                    searchPosition++\n                }\n                match.push(recordChar)\n            }\n            return match.join('')\n        }\n    },\n    events: {\n        input: {\n            keydown(event) {\n                switch (event.keyCode) {\n                    // Down/Up arrow\n                    case 40:\n                    case 38:\n                        event.preventDefault()\n                        event.keyCode === 40 ? autoCompletejs.next() : autoCompletejs.previous()\n                        break\n                    // Enter\n                    case 13:\n                        if (autoCompletejs.cursor >= 0) {\n                            event.preventDefault()\n                            autoCompletejs.select(event)\n                        }\n                        break\n                }\n            }\n        }\n    },\n    resultsList: {\n        maxResults: 7,\n        id: 'autoComplete_list',\n        destination: '#autoCompleteResults',\n        position: 'beforeend',\n        tag: 'ul'\n    },\n    resultItem: {\n        element: (source, data) => {\n            source.innerHTML = `<div><span class=\"autocomplete_name\">${data.match}</span><span class=\"autocomplete_type\">${labels[data.value.type] || ''}</span></div>`\n        },\n        tag: 'li',\n        highlight: 'autoComplete_highlighted',\n        selected: 'autoComplete_selected'\n    }\n})\n\ndocument.addEventListener('keydown', function (event) {\n    if (event.key === '/' && !['INPUT', 'TEXTAREA'].includes(document.activeElement.tagName)) {\n        const searchInput = document.getElementById('autoComplete')\n        if (searchInput) {\n            event.preventDefault()\n            searchInput.focus()\n        }\n    }\n})\n\ndocument.querySelector('#autoComplete').addEventListener('selection', function (event) {\n    const selection = event.detail.selection.value\n\n    // Log the selected value\n    fetch('/api/features/autocomplete', {\n        method: 'POST',\n        headers: {\n            'content-type': 'application/json'\n        },\n        body: JSON.stringify({\n            ...selection,\n            contact_id: contactId\n        })\n    })\n\n    // Redirect to the target URL\n    window.location = selection.url\n})\n"
  },
  {
    "path": "apps/transport/client/javascripts/autocomplete_address.js",
    "content": "const AutoComplete = require('@tarekraafat/autocomplete.js/dist/autoComplete')\n\nnew AutoComplete({\n    data: {\n        src: async () => {\n            const query = document.querySelector('#autoComplete').value\n            // See https://geoservices.ign.fr/documentation/services/services-geoplateforme/autocompletion\n            const source = await fetch(\n                `https://data.geopf.fr/geocodage/completion/?text=${query}&poiType=administratif&type=StreetAddress&maximumResponses=5`\n            )\n            const data = await source.json()\n            return data.results\n        },\n        keys: ['fulltext'],\n        cache: false\n    },\n    selector: '#autoComplete',\n    threshold: 3,\n    debounce: 200,\n    highlight: true,\n    submit: false,\n    resultsList: {\n        maxResults: 5,\n        id: 'autoComplete_list',\n        class: 'no_legend',\n        destination: '#autoCompleteResults',\n        position: 'beforeend',\n        tag: 'ul',\n        noResults: true,\n        element: (list, data) => {\n            if (!data.results.length) {\n                const message = document.createElement('li')\n                message.innerHTML = `Pas de résultats pour \"<span class=\"autoComplete_highlighted\">${data.query}</span>\"`\n                list.prepend(message)\n            }\n        }\n    },\n    resultItem: {\n        element: (source, data) => {\n            source.innerHTML = `<div><span class=\"autocomplete_name\">${data.match}</span><span class=\"autocomplete_type\">adresse</span></div>`\n        },\n        tag: 'li',\n        highlight: 'autoComplete_highlighted',\n        selected: 'autoComplete_selected'\n    }\n})\n\ndocument.addEventListener('keydown', function (event) {\n    if (event.key === '/' && !['INPUT', 'TEXTAREA'].includes(document.activeElement.tagName)) {\n        const searchInput = document.getElementById('autoComplete')\n        if (searchInput) {\n            event.preventDefault()\n            searchInput.focus()\n        }\n    }\n})\n"
  },
  {
    "path": "apps/transport/client/javascripts/clipboard.js",
    "content": "import Clipboard from 'clipboard'\n\nconst clipboard = new Clipboard('.button')\nclipboard.on('success', e => {\n    e.trigger.textContent = 'Ok!'\n    e.clearSelection()\n})\n"
  },
  {
    "path": "apps/transport/client/javascripts/dataset-map.js",
    "content": "import L from 'leaflet'\nimport { IGN } from './map-config'\n\nfunction initilizeMap(id) {\n    const map = L.map(id, { renderer: L.canvas() }).setView([46.505, 2], 5)\n    L.tileLayer(IGN.url, IGN.config).addTo(map)\n\n    const fg = L.featureGroup().addTo(map)\n    return { map, fg }\n}\n\nfunction createDatasetMap(divId, datasetDatagouvId) {\n    const { map, fg } = initilizeMap(divId)\n    fetch(`/api/datasets/${datasetDatagouvId}/geojson`)\n        .then(data => data.json())\n        .then(geojson => {\n            const gs = L.geoJSON(geojson).addTo(fg)\n            gs.bindPopup(layer => {\n                return layer.feature.properties.name\n            })\n            const bounds = fg.getBounds()\n            if (bounds.isValid()) {\n                map.fitBounds(fg.getBounds())\n            }\n        })\n        .catch(_ => console.log('invalid geojson'))\n}\n\nwindow.createDatasetMap = createDatasetMap\n"
  },
  {
    "path": "apps/transport/client/javascripts/explore.js",
    "content": "import { Socket } from 'phoenix'\nimport Leaflet from 'leaflet'\nimport { LeafletLayer } from 'deck.gl-leaflet'\nimport { ScatterplotLayer, GeoJsonLayer } from '@deck.gl/layers'\n\nimport { MapView } from '@deck.gl/core'\nimport { Mapbox } from './map-config'\n\nconst socket = new Socket('/socket', { params: { token: window.userToken } })\nsocket.connect()\nconst channel = socket.channel('explore', {})\nchannel\n    .join()\n    .receive('ok', resp => {\n        console.log('Joined successfully', resp)\n    })\n    .receive('error', resp => {\n        console.log('Unable to join', resp)\n    })\n\nlet gtfsChannelRef\n\n// Default location is Paris\nconst DEFAULT_LAT = 48.8575\nconst DEFAULT_LNG = 2.3514\nconst DEFAULT_ZOOM = 6\n\nfunction getMapParamsFromUrlPath() {\n    // Example Path: /explore?@34.0522,-118.2437,10\n    const path = decodeURIComponent(window.location.search)\n    const parts = path.split('@')\n\n    // If there is no '@' segment, return defaults\n    if (parts.length < 2) {\n        return { lat: DEFAULT_LAT, lng: DEFAULT_LNG, zoom: DEFAULT_ZOOM }\n    }\n\n    const coordsStr = parts[1]\n    const [latStr, lngStr, zoomStr] = coordsStr.split(',')\n\n    const lat = parseFloat(latStr) || DEFAULT_LAT\n    const lng = parseFloat(lngStr) || DEFAULT_LNG\n\n    const zoom = parseInt(zoomStr, 10) || DEFAULT_ZOOM\n    return { lat, lng, zoom }\n}\n\nconst { lat, lng, zoom } = getMapParamsFromUrlPath()\nconst map = Leaflet.map('map', { renderer: Leaflet.canvas() }).setView([lat, lng], zoom)\n\nLeaflet.tileLayer(Mapbox.url, {\n    accessToken: Mapbox.accessToken,\n    attribution: Mapbox.attribution,\n    maxZoom: Mapbox.maxZoom,\n    tileSize: Mapbox.tileSize,\n    zoomOffset: Mapbox.zoomOffset\n}).addTo(map)\n\nconst visibility = { gtfsrt: document.getElementById('gtfs-rt-check').checked }\n\nfunction prepareGTFSRTLayer(layerData) {\n    return new ScatterplotLayer({\n        id: 'gtfs-rt',\n        data: layerData,\n        pickable: true,\n        opacity: 1,\n        stroked: false,\n        filled: true,\n        radiusMinPixels: 4,\n        radiusMaxPixels: 10,\n        lineWidthMinPixels: 1,\n        visible: visibility.gtfsrt,\n        getPosition: d => {\n            return [d.position.longitude, d.position.latitude]\n        },\n        getRadius: _d => 1000,\n        getFillColor: _d => [0, 150, 136, 150],\n        getLineColor: _d => [0, 150, 136]\n    })\n}\n\nconst deckGLLayer = new LeafletLayer({\n    views: [new MapView({ repeat: true })],\n    layers: [],\n    getTooltip\n})\nmap.addLayer(deckGLLayer)\n\nfunction getTooltip({ object, layer }) {\n    if (object) {\n        if (layer.id === 'bnlc-layer') {\n            return { html: `<strong>Aire de covoiturage</strong><br>${object.properties.nom_lieu}` }\n        } else if (layer.id === 'zfe-layer') {\n            return { html: '<strong>Zone à Faible Émission</strong>' }\n        } else if (layer.id === 'gbfs_stations-layer') {\n            return {\n                html: `<strong>Station GBFS</strong><br>\n                    ${object.properties.name}<br>\n                    Capacité&nbsp;: ${object.properties.capacity}`\n            }\n        } else if (layer.id === 'irve-layer') {\n            return {\n                html: `<strong>Infrastructure de recharge</strong><br>\n            ${object.properties.nom_station}<br>\n            Enseigne&nbsp;: ${object.properties.nom_enseigne}<br>\n            Identifiant station en itinérance&nbsp;: ${object.properties.id_station_itinerance}<br>\n            Nombre de points de charge&nbsp;: ${object.properties.nbre_pdc}`\n            }\n        } else {\n            return {\n                html: `<strong>Position temps-réel</strong><br>transport_resource: ${object.transport.resource_id}<br>id: ${object.vehicle.id}`\n            }\n        }\n    }\n}\n// internal dictionary were all layers are stored\nlet GTFSRTData = {}\nconst layers = { gtfsrt: undefined, bnlc: undefined, zfe: undefined, gbfs_stations: undefined }\n\nfunction getLayers(layers) {\n    return [layers.gtfsrt, layers.zfe, layers.bnlc, layers.irve, layers.gbfs_stations]\n}\n\nfunction withQueryParams(alter) {\n    const params = new URLSearchParams(window.location.search)\n    alter(params)\n    const newurl =\n        window.location.protocol + '//' + window.location.host + window.location.pathname + '?' + params.toString()\n    window.history.pushState({ path: newurl }, '', newurl)\n}\n\nfunction setQueryFlag(key) {\n    withQueryParams(params => params.set(key, 'yes'))\n}\n\nfunction setQueryParam(key, value) {\n    withQueryParams(params => params.set(key, value))\n}\n\nfunction unsetQueryFlag(key) {\n    withQueryParams(params => params.delete(key))\n}\n\n// handle GTFS-RT toggle\nconst gtfsrtCheckbox = document.getElementById('gtfs-rt-check')\ngtfsrtCheckbox.addEventListener('change', event => {\n    if (event.currentTarget.checked) {\n        setQueryFlag('gtfs-rt')\n        startGTFSRT()\n    } else {\n        unsetQueryFlag('gtfs-rt')\n        stopGTFSRT()\n    }\n})\n\nfunction startGTFSRT() {\n    visibility.gtfsrt = true\n\n    gtfsChannelRef = channel.on('vehicle-positions', payload => {\n        if (payload.error) {\n            console.log(`Resource ${payload.resource_id} failed to load`)\n        } else {\n            GTFSRTData[payload.resource_id] = payload.vehicle_positions\n            layers.gtfsrt = prepareGTFSRTLayer(Object.values(GTFSRTData).flatMap(array => array))\n            deckGLLayer.setProps({ layers: getLayers(layers) })\n        }\n    })\n}\n\nfunction stopGTFSRT() {\n    visibility.gtfsrt = false\n    channel.off('vehicle-positions', gtfsChannelRef)\n    GTFSRTData = {}\n    layers.gtfsrt = prepareGTFSRTLayer([])\n    deckGLLayer.setProps({ layers: getLayers(layers) })\n}\n\n// Handle BNLC toggle\ndocument.getElementById('bnlc-check').addEventListener('change', event => {\n    if (event.currentTarget.checked) {\n        setQueryFlag('bnlc')\n        startBNLC()\n    } else {\n        unsetQueryFlag('bnlc')\n        updateBNLCLayer(null)\n    }\n})\n\nfunction startBNLC() {\n    trackEvent('bnlc')\n    fetch('/api/geo-query?data=bnlc').then(data => updateBNLCLayer(data.json()))\n}\n\n// Handle ZFE toggle\ndocument.getElementById('zfe-check').addEventListener('change', event => {\n    if (event.currentTarget.checked) {\n        setQueryFlag('zfe')\n        startZFE()\n    } else {\n        unsetQueryFlag('zfe')\n        updateZFELayer(null)\n    }\n})\n\nfunction startZFE() {\n    trackEvent('zfe')\n    fetch('/api/geo-query?data=zfe').then(data => updateZFELayer(data.json()))\n}\n\n// Handle IRVE toggle\ndocument.getElementById('irve-check').addEventListener('change', event => {\n    if (event.currentTarget.checked) {\n        setQueryFlag('irve')\n        startIRVE()\n    } else {\n        unsetQueryFlag('irve')\n        updateIRVELayer(null)\n    }\n})\n\nfunction startIRVE() {\n    trackEvent('irve')\n    fetch('/api/geo-query?data=irve').then(data => updateIRVELayer(data.json()))\n}\n\n// Handle GBFS stations toggle\ndocument.getElementById('gbfs_stations-check').addEventListener('change', event => {\n    if (event.currentTarget.checked) {\n        setQueryFlag('gbfs-stations')\n        startGBFS()\n    } else {\n        unsetQueryFlag('gbfs-stations')\n        updateGBFSStationsLayer(null)\n    }\n})\n\nfunction startGBFS() {\n    trackEvent('gbfs-stations')\n    fetch('/api/geo-query?data=gbfs_stations').then(data => updateGBFSStationsLayer(data.json()))\n}\n\nconst bootSequence = {\n    'gtfs-rt-check': startGTFSRT,\n    'bnlc-check': startBNLC,\n    'zfe-check': startZFE,\n    'irve-check': startIRVE,\n    'gbfs_stations-check': startGBFS\n}\n\n// make sure the checkboxes status is in sync when loading from query params\ndocument.addEventListener('DOMContentLoaded', () => {\n    for (const checkId in bootSequence) {\n        if (document.getElementById(checkId).checked) {\n            bootSequence[checkId]()\n        }\n    }\n})\n\nfunction updateBNLCLayer(geojson) {\n    layers.bnlc = createPointsLayer(geojson, 'bnlc-layer')\n    deckGLLayer.setProps({ layers: getLayers(layers) })\n}\nfunction updateZFELayer(geojson) {\n    layers.zfe = createPointsLayer(geojson, 'zfe-layer')\n    deckGLLayer.setProps({ layers: getLayers(layers) })\n}\nfunction updateIRVELayer(geojson) {\n    layers.irve = createPointsLayer(geojson, 'irve-layer')\n    deckGLLayer.setProps({ layers: getLayers(layers) })\n}\nfunction updateGBFSStationsLayer(geojson) {\n    layers.gbfs_stations = createPointsLayer(geojson, 'gbfs_stations-layer')\n    deckGLLayer.setProps({ layers: getLayers(layers) })\n}\n\nfunction trackEvent(layer) {\n    // https://matomo.org/faq/reports/implement-event-tracking-with-matomo/#how-to-set-up-matomo-event-tracking-with-javascript\n    // `window._paq` is only defined in production (in templates/layout/app.html.heex)\n    if (window._paq) {\n        window._paq.push(['trackEvent', 'explore-map', 'enable-layer', layer])\n    }\n}\n\nfunction createPointsLayer(geojson, id) {\n    const fillColor = {\n        'bnlc-layer': [255, 174, 0, 100],\n        'zfe-layer': [52, 8, 143, 100],\n        'irve-layer': [245, 40, 145, 100],\n        'gbfs_stations-layer': [60, 115, 168, 100]\n    }[id]\n\n    return new GeoJsonLayer({\n        id,\n        data: geojson,\n        pickable: true,\n        stroked: false,\n        filled: true,\n        extruded: false,\n        pointType: 'circle',\n        opacity: 1,\n        getFillColor: fillColor,\n        getPointRadius: 1000,\n        pointRadiusUnits: 'meters',\n        pointRadiusMinPixels: 2,\n        pointRadiusMaxPixels: 10,\n        visible: geojson !== null\n    })\n}\n\nfunction updateUrl() {\n    const center = map.getCenter()\n    const zoom = map.getZoom()\n\n    const lat = center.lat.toFixed(5)\n    const lng = center.lng.toFixed(5)\n    const z = zoom\n\n    const params = `${lat},${lng},${z}`\n    setQueryParam('@', params)\n}\n\nmap.on('moveend', updateUrl)\n\n// Autocomplete\ndocument.querySelector('#autoComplete').addEventListener('selection', function (event) {\n    event.preventDefault()\n    map.flyTo([event.detail.selection.value.y, event.detail.selection.value.x], 12)\n})\n\nexport default socket\n"
  },
  {
    "path": "apps/transport/client/javascripts/fullscreen_wrapper.js",
    "content": "const buttons = [document.getElementById('enter-fullscreen'), document.getElementById('exit-fullscreen')]\nbuttons.forEach(button => {\n    button.addEventListener('click', () => {\n        if (document.fullscreenElement) {\n            document.exitFullscreen()\n        } else {\n            document.body.requestFullscreen()\n        }\n    })\n})\n"
  },
  {
    "path": "apps/transport/client/javascripts/gtfs.js",
    "content": "import Leaflet from 'leaflet'\nimport { LeafletLayer } from 'deck.gl-leaflet'\nimport { ScatterplotLayer, GeoJsonLayer } from '@deck.gl/layers'\n\nimport { MapView } from '@deck.gl/core'\nimport { IGN } from './map-config'\n\n// Default location is Paris\nconst DEFAULT_LAT = 48.8575\nconst DEFAULT_LNG = 2.3514\nconst DEFAULT_ZOOM = 6\n\nfunction getMapParamsFromUrlPath() {\n    // Example Path: /gtfs-stops?@34.0522,-118.2437,10\n    const path = window.location.search\n    const parts = path.split('?@')\n\n    // If there is no '?@' segment, return defaults\n    if (parts.length < 2) {\n        return { lat: DEFAULT_LAT, lng: DEFAULT_LNG, zoom: DEFAULT_ZOOM }\n    }\n\n    const coordsStr = parts[1]\n    const [latStr, lngStr, zoomStr] = coordsStr.split(',')\n\n    const lat = parseFloat(latStr) || DEFAULT_LAT\n    const lng = parseFloat(lngStr) || DEFAULT_LNG\n\n    const zoom = parseInt(zoomStr, 10) || DEFAULT_ZOOM\n    return { lat, lng, zoom }\n}\n\nconst { lat, lng, zoom } = getMapParamsFromUrlPath()\nconst map = Leaflet.map('map', { renderer: Leaflet.canvas() }).setView([lat, lng], zoom)\n\nLeaflet.tileLayer(IGN.url, IGN.config).addTo(map)\n\nlet currentPopup = null\n\nfunction showPopup(info) {\n    if (currentPopup) {\n        currentPopup.remove()\n        currentPopup = null\n    }\n    if (info.picked && info.object) {\n        let content = ''\n        if (info.object.count !== undefined) {\n            content = `${info.object.count.toString()} stops`\n        } else if (info.object.properties) {\n            content = `${info.object.properties.d_title} - ${info.object.properties.stop_id} <pre><code>${JSON.stringify(info.object, null, 4)}</code></pre>`\n        }\n        if (content) {\n            setTimeout(() => {\n                currentPopup = Leaflet.popup()\n                    .setLatLng([info.coordinate[1], info.coordinate[0]])\n                    .setContent(content)\n                    .openOn(map)\n            }, 0)\n        }\n    }\n}\n\nconst deckGLLayer = new LeafletLayer({\n    views: [new MapView({ repeat: true })],\n    layers: []\n})\nmap.addLayer(deckGLLayer)\n\nmap.on('movestart', function (_event) {\n    deckGLLayer.setProps({\n        layers: deckGLLayer.props.layers.map(l => l.clone({ visible: false }))\n    })\n})\n\n// triggered both by \"zoomend\" and the end of move\nmap.on('moveend', function (_event) {\n    const bounds = map.getBounds()\n    const a = map.latLngToLayerPoint([bounds.getNorth(), bounds.getWest()])\n    const b = map.latLngToLayerPoint([bounds.getSouth(), bounds.getEast()])\n    const widthPixels = b.x - a.x\n    const heightPixels = b.y - a.y\n\n    const params = new URLSearchParams({\n        width_pixels: widthPixels,\n        height_pixels: heightPixels,\n        south: bounds.getSouth(),\n        east: bounds.getEast(),\n        west: bounds.getWest(),\n        north: bounds.getNorth(),\n        zoom_level: map.getZoom()\n    })\n\n    const url = `/api/gtfs-stops?${params}`\n\n    // https://coolors.co/gradient-palette/2655ff-ff9822?number=5 and https://coolors.co/gradient-palette/ff9822-ce1313?number=5\n    const palette = [\n        [38, 85, 255],\n        [92, 102, 200],\n        [147, 119, 145],\n        [201, 135, 89],\n        [255, 152, 34],\n        [243, 119, 30],\n        [231, 86, 27],\n        [218, 52, 23],\n        [206, 19, 19]\n    ]\n\n    const colorFunc = function (v) {\n        return palette[Math.min(Math.floor(v * 9), 8)]\n    }\n\n    fetch(url)\n        .then(data => data.json())\n        .then(jsonResponse => {\n            let layer = null\n            let tooltip = null\n            // clustered response is marked with a special type so that we can recognize it here\n            if (jsonResponse.type === 'clustered') {\n                const data = jsonResponse.data.map(x => {\n                    return { lat: x[0], lon: x[1], count: x[2] }\n                })\n                const maxCount = Math.max(...data.map(a => a.count))\n                const scatterplotLayer = new ScatterplotLayer({\n                    id: 'scatterplot-layer',\n                    data,\n                    pickable: true,\n                    opacity: 0.8,\n                    stroked: true,\n                    filled: true,\n                    radiusUnits: 'pixels',\n                    radiusScale: 1,\n                    lineWidthMinPixels: 1,\n                    getPosition: d => [d.lon, d.lat],\n                    getRadius: _d => 2,\n                    getFillColor: d => colorFunc(maxCount < 3 ? 0 : d.count / maxCount),\n                    getLineColor: d => colorFunc(maxCount < 3 ? 0 : d.count / maxCount),\n                    onClick: showPopup\n                })\n                layer = scatterplotLayer\n                tooltip = function (d) {\n                    if (d.picked) {\n                        return `${d.object.count.toString()} stops`\n                    } else {\n                        return false\n                    }\n                }\n            } else if (jsonResponse.type === 'FeatureCollection') {\n                // non-clustered response is GeoJSON, also with a \"type\" marker\n                const data = jsonResponse\n                const geoJsonLayer = new GeoJsonLayer({\n                    id: 'geojson-layer',\n                    data,\n                    pickable: true,\n                    stroked: false,\n                    filled: true,\n                    extruded: true,\n                    pointType: 'circle',\n                    lineWidthScale: 20,\n                    lineWidthMinPixels: 2,\n                    getFillColor: [38, 85, 255],\n                    getLineColor: [38, 85, 255],\n                    getPointRadius: 100,\n                    pointRadiusMinPixels: 1,\n                    pointRadiusMaxPixels: 3,\n                    getLineWidth: 1,\n                    getElevation: 30,\n                    onClick: showPopup\n                })\n                layer = geoJsonLayer\n                tooltip = function (d) {\n                    if (d.picked) {\n                        return {\n                            html: `${d.object.properties.d_title} - ${d.object.properties.stop_id} <pre><code>${JSON.stringify(d.object, null, 4)}</code></pre>`\n                        }\n                    }\n                }\n            }\n            deckGLLayer.setProps({\n                getTooltip: tooltip,\n                getCursor: () => 'crosshair',\n                layers: [layer]\n            })\n        })\n        .catch(e => console.log(e))\n})\n\nfunction updateUrl() {\n    const center = map.getCenter()\n    const zoom = map.getZoom()\n\n    const lat = center.lat.toFixed(5)\n    const lng = center.lng.toFixed(5)\n    const z = zoom\n\n    const newPath = `?@${lat},${lng},${z}`\n    const currentPath = window.location.pathname.split('?@')[0]\n\n    window.history.pushState({ lat, lng, z }, '', currentPath + newPath)\n}\n\nmap.on('moveend', updateUrl)\n\nmap.fire('moveend', { source: 'load' })\n\ndocument.querySelector('#autoComplete').addEventListener('selection', function (event) {\n    event.preventDefault()\n    map.flyTo([event.detail.selection.value.y, event.detail.selection.value.x], 12)\n})\n"
  },
  {
    "path": "apps/transport/client/javascripts/map-config.js",
    "content": "export const Mapbox = {\n    url: 'https://api.mapbox.com/styles/v1/transport-pan/clj8j9fla009701pie4nrfo62/tiles/{tileSize}/{z}/{x}/{y}?access_token={accessToken}',\n    accessToken: 'pk.eyJ1IjoidHJhbnNwb3J0LXBhbiIsImEiOiJjbGo4anJodWUxOXY0M3BxeWo3bHlrMXoxIn0.qFfjiswVf2TaLQ2YmB-Mnw',\n    attribution:\n        'Map data &copy; <a href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors <a href=\"https://spdx.org/licenses/ODbL-1.0.html\">ODbL</a>, Imagery © <a href=\"http://mapbox.com\">Mapbox</a>',\n    maxZoom: 20,\n    tileSize: 512,\n    zoomOffset: -1\n}\n\nexport const IGN = {\n    url: 'https://data.geopf.fr/wmts?&REQUEST=GetTile&SERVICE=WMTS&VERSION=1.0.0&STYLE=normal&TILEMATRIXSET=PM&FORMAT=image/png&LAYER=GEOGRAPHICALGRIDSYSTEMS.PLANIGNV2&TILEMATRIX={z}&TILEROW={y}&TILECOL={x}',\n    config: {\n        minZoom: 0,\n        maxZoom: 18,\n        attribution: 'IGN-F/Géoportail',\n        tileSize: 256,\n        className: 'ign-tile'\n    }\n}\n"
  },
  {
    "path": "apps/transport/client/javascripts/map-geojson.js",
    "content": "import L from 'leaflet'\nimport { IGN } from './map-config'\n\nfunction initializeMap(id) {\n    const map = L.map(id, { renderer: L.canvas() }).setView([46.505, 2], 5)\n    L.tileLayer(IGN.url, IGN.config).addTo(map)\n\n    const markersfg = L.featureGroup().addTo(map)\n    const linesfg = L.featureGroup().addTo(map)\n    return { map, markersfg, linesfg }\n}\n\nfunction TransitLinesStyle(feature) {\n    if (feature.geometry.type !== 'Point') {\n        return { color: feature.properties.route_color, weight: 5 }\n    } else {\n        return {}\n    }\n}\n\nfunction createStopsMarkers(_geoJsonPoint, latlng) {\n    return L.circleMarker(latlng, { fillColor: 'white', color: 'black', fillOpacity: 1, weight: 3, radius: 5 })\n}\n\nfunction setZoomEvents(map, fg) {\n    map.on('zoomend', () => {\n        if (map.getZoom() >= 14) {\n            fg.setStyle({ fillColor: 'white', color: 'black', fillOpacity: 1, weight: 3, radius: 5 })\n        } else {\n            fg.setStyle({ fillColor: 'white', color: 'black', fillOpacity: 1, weight: 1, radius: 2 })\n        }\n    })\n}\n\nfunction GeojsonMap(fillMapFunction, mapDivId, infoDivId, geojsonUrl, filesize, msg1, msg2) {\n    const sizeMB = filesize / 1024 / 1024\n    const infoDiv = document.getElementById(infoDivId)\n    const mapDiv = document.getElementById(mapDivId)\n\n    if (sizeMB > 2) {\n        // for large files, user has to click to download and see the file\n        infoDiv.innerHTML = `<div>${msg1} (${Math.round(sizeMB)} Mo).</div>\n            <button class=\"button\">\n            ${msg2}\n            </button>`\n        infoDiv.addEventListener('click', function () {\n            // show anyway\n            GeojsonMap(fillMapFunction, mapDivId, infoDivId, geojsonUrl, 0, msg1, msg2)\n        })\n        mapDiv.outerHTML = `<div id=\"${mapDivId}\"></div>`\n    } else {\n        infoDiv.outerHTML = ''\n        mapDiv.outerHTML = `<div id=\"${mapDivId}\" class=\"geojson-map\"></div>`\n        fillMapFunction(mapDivId, geojsonUrl)\n    }\n}\n\nfunction TransitMap(mapDivId, geojsonUrl) {\n    const { map, markersfg, linesfg } = initializeMap(mapDivId)\n    fetch(geojsonUrl)\n        .then(data => data.json())\n        .then(geojson => {\n            const stops = L.geoJSON(geojson, {\n                pointToLayer: createStopsMarkers,\n                style: TransitLinesStyle,\n                filter: feature => feature.geometry.type === 'Point'\n            }).addTo(markersfg)\n\n            stops.bindPopup(layer => {\n                return formatPopupContent(layer.feature.properties)\n            })\n\n            const lines = L.geoJSON(geojson, {\n                style: TransitLinesStyle,\n                filter: feature => feature.geometry.type !== 'Point',\n                onEachFeature: (_feature, layer) => {\n                    layer.on('mouseover', () => {\n                        layer.bringToFront()\n                        stops.bringToFront()\n                        lines.setStyle({ weight: 3 })\n                        layer.setStyle({ weight: 10 })\n                    })\n                    layer.on('mouseout', () => {\n                        lines.resetStyle()\n                    })\n                }\n            }).addTo(linesfg)\n\n            lines.bindPopup(layer => {\n                return formatPopupContent(layer.feature.properties)\n            })\n\n            lines.bringToBack()\n            stops.bringToFront()\n\n            setZoomEvents(map, stops)\n\n            const bounds = markersfg.getBounds()\n            if (bounds.isValid()) {\n                map.fitBounds(markersfg.getBounds())\n            }\n        })\n        .catch(_ => console.log('invalid geojson'))\n}\n\nfunction GenericLinesStyle(_feature) {\n    return { weight: 3 }\n}\n\nfunction createPointsMarkers(_geoJsonPoint, latlng) {\n    return L.circleMarker(latlng, { stroke: false, color: '#0066db', fillOpacity: 0.7 })\n}\n\nfunction formatPopupContent(content) {\n    return `<pre>${JSON.stringify(content, null, 2)}</pre>`\n}\n\nfunction GenericMap(mapDivId, geojsonUrl) {\n    const { map, markersfg, linesfg } = initializeMap(mapDivId)\n    fetch(geojsonUrl)\n        .then(data => data.json())\n        .then(geojson => {\n            const markers = L.geoJSON(geojson, {\n                pointToLayer: createPointsMarkers,\n                filter: feature => feature.geometry.type === 'Point'\n            }).addTo(markersfg)\n\n            markers.bindPopup(layer => formatPopupContent(layer.feature.properties))\n\n            const lines = L.geoJSON(geojson, {\n                style: GenericLinesStyle,\n                filter: feature => feature.geometry.type !== 'Point'\n            }).addTo(linesfg)\n\n            lines.bindPopup(layer => {\n                return formatPopupContent(layer.feature.properties)\n            })\n\n            lines.bringToBack()\n            markers.bringToFront()\n\n            if (linesfg.getBounds().isValid()) {\n                map.fitBounds(linesfg.getBounds())\n            } else if (markersfg.getBounds().isValid()) {\n                map.fitBounds(markersfg.getBounds())\n            }\n        })\n        .catch(_ => console.log('invalid geojson'))\n}\n\nfunction TransitGeojsonMap(mapDivId, infoDivId, geojsonUrl, filesize = 0, msg1 = '', msg2 = '') {\n    GeojsonMap(TransitMap, mapDivId, infoDivId, geojsonUrl, filesize, msg1, msg2)\n}\n\nfunction GenericGeojsonMap(mapDivId, infoDivId, geojsonUrl, filesize = 0, msg1 = '', msg2 = '') {\n    GeojsonMap(GenericMap, mapDivId, infoDivId, geojsonUrl, filesize, msg1, msg2)\n}\n\nwindow.TransitGeojsonMap = TransitGeojsonMap\nwindow.GenericGeojsonMap = GenericGeojsonMap\n"
  },
  {
    "path": "apps/transport/client/javascripts/map.js",
    "content": "import Leaflet from 'leaflet'\nimport 'leaflet.pattern'\nimport { Mapbox } from './map-config'\n\nconst aomsUrl = '/api/stats/'\nconst vehiclesSharingUrl = '/api/stats/vehicles-sharing'\nconst qualityUrl = '/api/stats/quality'\n\nconst lightGreen = '#BCE954'\n\nconst makeMapOnView = (id, view) => {\n    const map = Leaflet.map(id, {\n        attributionControl: view.display_legend,\n        zoomControl: view.display_legend\n    }).setView(view.center, view.zoom)\n\n    map.createPane('aoms')\n    map.getPane('aoms').style.zIndex = 650\n\n    Leaflet.tileLayer(Mapbox.url, {\n        accessToken: Mapbox.accessToken,\n        attribution: Mapbox.attribution,\n        maxZoom: Mapbox.maxZoom,\n        tileSize: Mapbox.tileSize,\n        zoomOffset: Mapbox.zoomOffset\n    }).addTo(map)\n\n    return map\n}\n\n// helper function to add legends\nconst getLegend = (title, colorClasses, labels) => {\n    const legend = Leaflet.control({ position: 'bottomright' })\n    legend.onAdd = _map => {\n        const div = Leaflet.DomUtil.create('div', 'info legend')\n        div.innerHTML += title\n        // loop through our density intervals and generate a label with a colored square for each interval\n        for (let i = 0; i < colorClasses.length; i++) {\n            div.innerHTML += `<i class=\"map-bg-${colorClasses[i]}\"></i>${labels[i]}<br/>`\n        }\n        return div\n    }\n\n    return legend\n}\n\n// simple cache on stats\nlet aomStats = null\nlet vehiclesSharingStats = null\nlet qualityStats = null\n\nfunction getAomsFG(featureFunction, style, filter = null) {\n    const aomsFeatureGroup = Leaflet.featureGroup()\n\n    if (aomStats == null) {\n        aomStats = fetch(aomsUrl).then(response => {\n            return response.json()\n        })\n    }\n    aomStats.then(response => {\n        const geoJSON = Leaflet.geoJSON(response, {\n            onEachFeature: featureFunction,\n            style,\n            filter,\n            pane: 'aoms'\n        })\n        aomsFeatureGroup.addLayer(geoJSON)\n    })\n    return aomsFeatureGroup\n}\n\nfunction displayVehiclesSharing(map, featureFunction) {\n    if (vehiclesSharingStats == null) {\n        vehiclesSharingStats = fetch(vehiclesSharingUrl).then(response => {\n            return response.json()\n        })\n    }\n    vehiclesSharingStats.then(response => {\n        const options = {\n            fillColor: '#0066db',\n            radius: 5,\n            stroke: false,\n            fillOpacity: 0.9\n        }\n        const geoJSON = Leaflet.geoJSON(response, {\n            onEachFeature: featureFunction,\n            pointToLayer: (_, latlng) => Leaflet.circleMarker(latlng, options)\n        })\n        map.addLayer(geoJSON)\n    })\n}\n\nfunction displayQuality(featureFunction, style) {\n    const qualityFeatureGroup = Leaflet.featureGroup()\n\n    if (qualityStats == null) {\n        qualityStats = fetch(qualityUrl).then(response => {\n            return response.json()\n        })\n    }\n    qualityStats.then(response => {\n        const geoJSON = Leaflet.geoJSON(response, {\n            onEachFeature: featureFunction,\n            style\n        })\n        qualityFeatureGroup.addLayer(geoJSON)\n    })\n    return qualityFeatureGroup\n}\n\nfunction searchURL(insee) {\n    if (insee === '11') {\n        return `/datasets/region/${insee}?type=public-transit`\n    }\n    return `/datasets/epci/${insee}?type=public-transit`\n}\n\nfunction addStaticPTMapAOMS(id, view) {\n    const map = makeMapOnView(id, view)\n\n    function onEachAomFeature(feature, layer) {\n        const name = feature.properties.nom\n        const count = feature.properties.nb\n        const text =\n            count === 0 ? 'Aucun jeu de données' : count === 1 ? 'Un jeu de données' : `${count} jeux de données`\n        const insee = feature.properties.insee\n        layer.bindPopup(\n            `<strong>${name}</strong><br>${text} propre à l'AOM.<br><a href=\"${searchURL(insee)}\">Voir les jeux de données</a>`\n        )\n    }\n\n    const styles = {\n        unavailable: {\n            weight: 1,\n            color: 'grey',\n            fillOpacity: 0.6\n        },\n        available: {\n            weight: 1,\n            color: 'green',\n            fillOpacity: 0.6\n        }\n    }\n\n    const style = feature => {\n        const count = feature.properties.nb\n        if (count > 0) {\n            return styles.available\n        } else {\n            return styles.unavailable\n        }\n    }\n\n    const aomsFG = getAomsFG(onEachAomFeature, style)\n    aomsFG.addTo(map)\n\n    if (view.display_legend) {\n        getLegend(\n            '<h4>Disponibilité des horaires :</h4>',\n            ['green', 'grey'],\n            ['Données disponibles', 'Aucune donnée disponible']\n        ).addTo(map)\n    }\n}\n\nfunction addStaticPTUpToDate(id, view) {\n    const map = makeMapOnView(id, view)\n\n    function onEachAomFeature(feature, layer) {\n        const name = feature.properties.nom\n        const expiredFrom = feature.properties.quality.expired_from\n        let text = ''\n        if (expiredFrom.status === 'outdated') {\n            text = `Les données ne sont plus à jour depuis ${expiredFrom.nb_days} jour`\n            if (expiredFrom.nb_days > 1) {\n                text += 's'\n            }\n        } else {\n            text = {\n                no_data: \"Aucune données pour l'AOM\",\n                unreadable: 'données illisibles',\n                up_to_date: 'Les données sont à jour'\n            }[expiredFrom.status]\n        }\n        const insee = feature.properties.insee\n        layer.bindPopup(`<a href=\"${searchURL(insee)}\">${name}</a><br>${text}`)\n    }\n\n    const styles = {\n        outdated: {\n            weight: 1,\n            color: 'orange',\n            fillOpacity: 0.6\n        },\n        up_to_date: {\n            weight: 1,\n            color: 'green',\n            fillOpacity: 0.6\n        },\n        unreadable: {\n            weight: 1,\n            color: 'red',\n            fillOpacity: 0.6\n        },\n        no_data: {\n            weight: 1,\n            color: 'grey',\n            fillOpacity: 0.6\n        }\n    }\n\n    const style = feature => {\n        return styles[feature.properties.quality.expired_from.status]\n    }\n    const qualityFG = displayQuality(onEachAomFeature, style)\n\n    qualityFG.addTo(map)\n\n    if (view.display_legend) {\n        getLegend(\n            '<h4>Fraicheur des données</h4>',\n            ['green', 'orange', 'red', 'grey'],\n            ['Données à jour', 'Données pas à jour', 'Données illisibles', 'Pas de données']\n        ).addTo(map)\n    }\n}\n\nfunction addStaticPTQuality(id, view) {\n    const map = makeMapOnView(id, view)\n\n    function onEachAomFeature(feature, layer) {\n        const name = feature.properties.nom\n        const errorLevel = feature.properties.quality.error_level\n        let text = ''\n        if (errorLevel === 'Error') {\n            text = 'Les données contiennent des erreurs.'\n        } else if (errorLevel === 'Warning') {\n            text = 'Les données contiennent des avertissements.'\n        } else if (errorLevel === 'Fatal') {\n            text = 'Les données ne respectent pas les spécifications.'\n        } else if (errorLevel === 'Information' || errorLevel === 'NoError') {\n            text = 'Les données sont de bonne qualité.'\n        } else {\n            text = 'Pas de données valides disponible.'\n        }\n        const insee = feature.properties.insee\n        layer.bindPopup(`<a href=\"${searchURL(insee)}\">${name}</a><br/>${text}`)\n    }\n    const styles = {\n        fatal: {\n            weight: 1,\n            color: 'red',\n            fillOpacity: 0.6\n        },\n        error: {\n            weight: 1,\n            color: 'orange',\n            fillOpacity: 0.6\n        },\n        warning: {\n            color: lightGreen,\n            weight: 1,\n            fillOpacity: 0.6\n        },\n        good: {\n            weight: 1,\n            color: 'green',\n            fillOpacity: 0.6\n        },\n        unavailable: {\n            weight: 1,\n            color: 'grey',\n            fillOpacity: 0.6\n        }\n    }\n\n    const style = feature => {\n        const quality = feature.properties.quality.error_level\n        if (quality === 'Fatal') {\n            return styles.fatal\n        } else if (quality === 'Error') {\n            return styles.error\n        } else if (quality === 'Warning') {\n            return styles.warning\n        } else if (quality === 'Information' || quality === 'NoError') {\n            return styles.good\n        } else {\n            return styles.unavailable\n        }\n    }\n    const qualityFG = displayQuality(onEachAomFeature, style)\n\n    qualityFG.addTo(map)\n\n    if (view.display_legend) {\n        getLegend(\n            '<h4>Qualité des données courantes</h4>',\n            ['red', 'orange', 'light-green', 'green', 'grey'],\n            ['Non conforme', 'Erreur', 'Satisfaisante', 'Bonne', 'Pas de données à jour']\n        ).addTo(map)\n    }\n}\n\n/**\n * Initialises a map with the realtime format.\n * @param  {String} id Dom element id, where the map is to be bound.\n * @param  {String} aomsUrl Url exposing a {FeatureCollection}.\n */\nfunction addRealTimePtFormatMap(id, view) {\n    const map = makeMapOnView(id, view)\n    function onEachAomFeature(feature, layer) {\n        const name = feature.properties.nom\n        const format = feature.properties\n        const gtfsRT = format.gtfs_rt ?? 0\n        const siri = format.siri ?? 0\n        const siriLite = format.siri_lite ?? 0\n        const countRealTime = gtfsRT + siri + siriLite\n\n        if (countRealTime === undefined) {\n            return null\n        }\n\n        let bind = `<div class=\"pb-6\"><strong>${name}</strong></div>`\n        if (countRealTime) {\n            const text = countRealTime === 1 ? 'Une ressource' : `${countRealTime} ressources`\n            const insee = feature.properties.insee\n            bind += `<div class=\"pb-6\"><a href=\"${searchURL(insee)}\">${text}</a>`\n            bind += '<br/>formats :'\n            const formats = []\n            if (gtfsRT) {\n                formats.push('GTFS-RT')\n            }\n            if (siri) {\n                formats.push('SIRI')\n            }\n            if (siriLite) {\n                formats.push('SIRI Lite')\n            }\n            bind += ` ${formats.join(', ')}</div>`\n        }\n\n        layer.bindPopup(bind)\n    }\n    const smallStripes = new Leaflet.StripePattern({\n        angle: -45,\n        color: lightGreen,\n        spaceColor: 'blue',\n        spaceOpacity: 1,\n        weight: 1,\n        spaceWeight: 1,\n        height: 2\n    })\n    const bigStripes = new Leaflet.StripePattern({\n        angle: -45,\n        color: lightGreen,\n        spaceColor: 'blue',\n        spaceOpacity: 1,\n        weight: 4,\n        spaceWeight: 4,\n        height: 8\n    })\n    smallStripes.addTo(map)\n    bigStripes.addTo(map)\n    const legends = {\n        gtfs_rt: { label: 'GTFS-RT', color: 'blue' },\n        siri: { label: 'SIRI', color: 'light-green' },\n        gtfs_rt_siri: { label: 'GTFS-RT + SIRI', color: 'stripes-green-light-green' },\n        siri_lite: { label: 'SIRI Lite', color: 'green' },\n        multiple: { label: 'Multiple', color: 'orange' }\n    }\n\n    const styles = {\n        gtfs_rt: {\n            weight: 1,\n            fillOpacity: 0.5,\n            color: legends.gtfs_rt.color\n        },\n        siri: {\n            weight: 1,\n            color: lightGreen,\n            fillOpacity: 0.3\n        },\n        siri_lite: {\n            weight: 1,\n            color: legends.siri_lite.color,\n            fillOpacity: 0.5\n        },\n        multiple: {\n            weight: 1,\n            color: legends.multiple.color,\n            fillOpacity: 0.5\n        },\n        gtfs_rt_siri: {\n            smallStripes: {\n                weight: 1,\n                color: 'blue',\n                fillOpacity: 0.6,\n                fillPattern: smallStripes\n            },\n            bigStripes: {\n                weight: 1,\n                color: 'blue',\n                fillOpacity: 0.6,\n                fillPattern: bigStripes\n            }\n        },\n        unavailable: {\n            weight: 1,\n            fillOpacity: 0.0,\n            color: 'grey'\n        }\n    }\n    const style = zoom => feature => {\n        const format = feature.properties\n        const hasGtfsRt = format.gtfs_rt > 0\n        const hasSiri = format.siri > 0\n        const hasSiriLite = format.siri_lite > 0\n        const formatNb = [hasSiri, hasSiriLite, hasGtfsRt].filter(x => !!x).length\n        const hasMultipleFormats = formatNb > 1\n\n        if (hasGtfsRt && hasSiri && formatNb === 2) {\n            return zoom > 6 ? styles.gtfs_rt_siri.bigStripes : styles.gtfs_rt_siri.smallStripes\n        } else if (hasMultipleFormats) {\n            return styles.multiple\n        } else if (hasGtfsRt) {\n            return styles.gtfs_rt\n        } else if (hasSiri) {\n            return styles.siri\n        } else if (hasSiriLite) {\n            return styles.siri_lite\n        } else {\n            return styles.unavailable\n        }\n    }\n\n    const filter = feature => {\n        const formats = feature.properties\n        return formats.gtfs_rt > 0 || formats.siri > 0 || formats.siri_lite > 0\n    }\n    const aomsFG = getAomsFG(onEachAomFeature, style(map.getZoom()), filter)\n    map.on('zoomend', () => aomsFG.setStyle(style(map.getZoom())))\n\n    aomsFG.addTo(map)\n\n    if (view.display_legend) {\n        getLegend(\n            '<h4>Format des données temps réel</h4>',\n            Object.entries(legends).map(([_key, legend]) => legend.color),\n            Object.entries(legends).map(([_key, legend]) => legend.label)\n        ).addTo(map)\n    }\n}\n\n/**\n * Initialises a map with the realtime coverage.\n * @param  {String} id Dom element id, where the map is to be bound.\n * @param  {String} aomsUrl Url exposing a {FeatureCollection}.\n */\nfunction addPtFormatMap(id, view) {\n    const map = makeMapOnView(id, view)\n\n    const styles = {\n        gtfs: {\n            weight: 1,\n            fillOpacity: 0.5,\n            color: 'blue'\n        },\n        netex: {\n            weight: 1,\n            color: 'green',\n            fillOpacity: 0.3\n        },\n        both: {\n            weight: 1,\n            color: 'orange',\n            fillOpacity: 0.5\n        },\n        unavailable: {\n            weight: 1,\n            fillOpacity: 0.0,\n            color: 'grey'\n        }\n    }\n\n    const style = feature => {\n        const gtfs = feature.properties.gtfs\n        const hasGTFS = gtfs > 0\n        const netex = feature.properties.netex\n        const hasNeTEx = netex > 0\n\n        if (hasGTFS && hasNeTEx) {\n            return styles.both\n        }\n        if (hasNeTEx) {\n            return styles.netex\n        }\n        if (hasGTFS) {\n            return styles.gtfs\n        }\n    }\n\n    const filter = feature => {\n        return feature.properties.gtfs > 0 || feature.properties.netex > 0\n    }\n\n    const aomsFG = getAomsFG(\n        (feature, layer) => {\n            const name = feature.properties.nom\n            const insee = feature.properties.insee\n            const bind = `<a href=\"${searchURL(insee)}\">${name}<br/></a>`\n            layer.bindPopup(bind)\n        },\n        style,\n        filter\n    )\n    aomsFG.addTo(map)\n\n    if (view.display_legend) {\n        const legend = getLegend(\n            '<h4>Format de données</h4>',\n            ['blue', 'green', 'orange'],\n            ['GTFS', 'NeTEx', 'GTFS & NeTEx']\n        )\n        legend.addTo(map)\n    }\n}\n\nfunction addVehiclesSharingMap(id, view) {\n    const map = makeMapOnView(id, view)\n\n    displayVehiclesSharing(map, (feature, layer) => {\n        const names = feature.properties.names\n        const slugs = feature.properties.slugs\n        const bind = names.map((name, i) => `<a href=\"/datasets/${slugs[i]}\" target=\"_blank\">${name}<br/></a>`).join('')\n        layer.bindPopup(bind)\n    })\n}\n\nconst droms = {\n    antilles: {\n        center: [15.372, -61.3367],\n        zoom: 7\n    },\n    guyane: {\n        center: [3.83, -53.097],\n        zoom: 6\n    },\n    nouvelle_caledonie: {\n        center: [-22, 166],\n        zoom: 6\n    },\n    metropole: {\n        center: [44.67, 2.087],\n        zoom: 5,\n        display_legend: true\n    },\n    reunion: {\n        center: [-21.0883, 55.5155],\n        zoom: 8\n    }\n}\n\nfor (const [drom, view] of Object.entries(droms)) {\n    addStaticPTUpToDate(`pt_up_to_date_${drom}`, view)\n    addStaticPTMapAOMS(`map_aoms_${drom}`, view)\n    addStaticPTQuality(`pt_quality_${drom}`, view)\n    addPtFormatMap(`pt_format_map_${drom}`, view)\n    addRealTimePtFormatMap(`rt_pt_format_map_${drom}`, view)\n    addVehiclesSharingMap(`vehicles_map_${drom}`, view)\n}\n"
  },
  {
    "path": "apps/transport/client/javascripts/resource-viz.js",
    "content": "import L from 'leaflet'\nimport Papa from 'papaparse'\nimport { IGN } from './map-config'\n\n// possible field names in csv files\nconst latLabels = ['Lat', 'Ylat', 'Ylatitude', 'consolidated_latitude']\nconst lonLabels = ['Lng', 'Xlong', 'Xlongitude', 'consolidated_longitude']\n\nfunction getLabel(obj, labelsList) {\n    for (const label of labelsList) {\n        if (Object.keys(obj).indexOf(label) >= 0) {\n            return label\n        }\n    }\n    return undefined\n}\n\nfunction initilizeMap(id) {\n    const map = L.map(id, { preferCanvas: true }).setView([46.505, 2], 5)\n    L.tileLayer(IGN.url, IGN.config).addTo(map)\n\n    const fg = L.featureGroup().addTo(map)\n    return { map, fg }\n}\n\nfunction coordinatesAreCorrect(lat, lon) {\n    return !isNaN(lat) && !isNaN(lon) && lat >= -90 && lat <= 90 && lon >= -180 && lon <= 180\n}\n\nfunction displayData(data, fg, { latField, lonField }) {\n    const markerOptions = {\n        fillColor: '#0066db',\n        radius: 5,\n        stroke: false,\n        fillOpacity: 0.15\n    }\n    for (const m of data) {\n        if (coordinatesAreCorrect(m[latField], m[lonField])) {\n            try {\n                L.circleMarker([m[latField], m[lonField]], markerOptions)\n                    .bindPopup(`<pre>${JSON.stringify(m, null, 2)}</pre>`)\n                    .addTo(fg)\n            } catch (_error) {\n                console.log('There is some invalid lat/lon data in the file')\n            }\n        }\n    }\n}\n\nfunction setZoomEvents(map, fg) {\n    map.on('zoomend', () => {\n        if (map.getZoom() > 12) {\n            fg.setStyle({ fillOpacity: 0.4, radius: 10 })\n        } else if (map.getZoom() > 8) {\n            fg.setStyle({ fillOpacity: 0.3, radius: 5 })\n        } else {\n            fg.setStyle({ fillOpacity: 0.15, radius: 5 })\n        }\n    })\n}\n\nfunction createCSVmap(id, resourceUrl) {\n    Papa.parse(resourceUrl, {\n        download: true,\n        header: true,\n        complete: function (data) {\n            const latField = getLabel(data.data[0], latLabels)\n            const lonField = getLabel(data.data[0], lonLabels)\n            if (latField && lonField) {\n                const { map, fg } = initilizeMap(id)\n                displayData(data.data, fg, { latField, lonField })\n                map.fitBounds(fg.getBounds())\n                setZoomEvents(map, fg)\n            } else {\n                removeViz('vizualisation of the resource has failed : not recognized column names')\n            }\n        }\n    })\n}\n\nfunction setGBFSStationStyle(feature, layer, field) {\n    const stationStatus = feature.properties.station_status\n\n    if (stationStatus) {\n        if (stationStatus.is_renting !== true && stationStatus.is_renting !== 1) {\n            layer\n                .unbindTooltip()\n                .bindTooltip('HS', { permanent: true, className: 'leaflet-tooltip', direction: 'center' })\n                .setStyle({ fillColor: 'red' })\n        } else {\n            const N = stationStatus[field] || ''\n            let opacity = 0.8\n            if (N === 0) {\n                opacity = 0.4\n            } else if (N < 3) {\n                opacity = 0.6\n            }\n            layer.unbindTooltip().setStyle({ fillOpacity: opacity })\n            if (N !== '') {\n                layer.bindTooltip(`${N}`, { permanent: true, className: 'leaflet-tooltip', direction: 'center' })\n            }\n        }\n        layer.bindPopup(`<pre>${JSON.stringify(stationStatus, null, 2)}</pre>`)\n    }\n}\n\nfunction setGBFSFreeFloatingStyle(feature, layer) {\n    const properties = feature.properties\n    let popupContent\n\n    if (properties.is_disabled) {\n        const color = 'red'\n        layer.unbindTooltip().setStyle({ fillColor: color })\n        popupContent = JSON.stringify(properties, null, 2).replace(\n            '\"is_disabled\": true',\n            `<strong class=\"map-color-${color}\">\"is_disabled\": true</strong>`\n        )\n    } else if (properties.is_reserved) {\n        const color = 'orange'\n        layer.unbindTooltip().setStyle({ fillColor: color })\n        popupContent = JSON.stringify(properties, null, 2).replace(\n            '\"is_reserved\": true',\n            `<strong class=\"map-color-${color}\">\"is_reserved\": true</strong>`\n        )\n    } else {\n        const color = 'blue'\n        layer.unbindTooltip().setStyle({ fillColor: 'blue' })\n        popupContent = JSON.stringify(properties, null, 2)\n            .replace('\"is_reserved\": false', `<strong class=\"map-color-${color}\">\"is_reserved\": false</strong>`)\n            .replace('\"is_disabled\": false', `<strong class=\"map-color-${color}\">\"is_disabled\": false</strong>`)\n    }\n    layer.bindPopup(`<pre>${popupContent}</pre>`)\n}\n\nfunction setGBFSGeofencingStyle(feature, layer, globalRules) {\n    const rules = feature.properties.rules\n    const rule = rules && rules.length > 0 ? rules[0] : globalRules\n    let color, opacity, popupContent\n\n    if (rule) {\n        if (rule.ride_through_allowed === false) {\n            color = 'red'\n            opacity = 0.6\n            popupContent = JSON.stringify(feature.properties, null, 2).replace(\n                '\"ride_through_allowed\": false',\n                `<strong class=\"map-color-${color}\">\"ride_through_allowed\": false</strong>`\n            )\n        } else if (rule.ride_allowed === false) {\n            color = 'orange'\n            opacity = 0.6\n            popupContent = JSON.stringify(feature.properties, null, 2).replace(\n                '\"ride_allowed\": false',\n                `<strong class=\"map-color-${color}\">\"ride_allowed\": false</strong>`\n            )\n        } else {\n            color = 'green'\n            opacity = 0.4\n            popupContent = JSON.stringify(feature.properties, null, 2)\n                .replace(\n                    '\"ride_through_allowed\": true',\n                    `<strong class=\"map-color-${color}\">\"ride_through_allowed\": true</strong>`\n                )\n                .replace('\"ride_allowed\": true', `<strong class=\"map-color-${color}\">\"ride_allowed\": true</strong>`)\n        }\n    }\n    layer\n        .bindPopup(`<pre>${popupContent}</pre>`)\n        .setStyle({ fillColor: color, color, fillOpacity: opacity, stroke: false })\n}\n\nfunction fillStations(stationsGeojson, bikesAvailable, docksAvailable) {\n    L.geoJSON(stationsGeojson, {\n        pointToLayer: function (geoJsonPoint, latlng) {\n            return L.circleMarker(latlng, { stroke: false, color: '#0066db', fillOpacity: 0.8 })\n        },\n        onEachFeature: (feature, layer) => setGBFSStationStyle(feature, layer, 'availability')\n    }).addTo(bikesAvailable)\n\n    L.geoJSON(stationsGeojson, {\n        pointToLayer: function (geoJsonPoint, latlng) {\n            return L.circleMarker(latlng, { stroke: false, color: '#009c34', fillOpacity: 0.8 })\n        },\n        onEachFeature: (feature, layer) => setGBFSStationStyle(feature, layer, 'num_docks_available')\n    }).addTo(docksAvailable)\n}\n\nfunction clearFeatureGroups(featureGroups) {\n    for (const fg in featureGroups) {\n        featureGroups[fg].clearLayers()\n    }\n}\n\nfunction fillFreeFloating(geojson, freeFloating) {\n    L.geoJSON(geojson, {\n        pointToLayer: function (geoJsonPoint, latlng) {\n            return L.circleMarker(latlng, { stroke: false, color: '#0066db', fillOpacity: 0.7 })\n        },\n        onEachFeature: (feature, layer) => setGBFSFreeFloatingStyle(feature, layer)\n    }).addTo(freeFloating)\n}\n\nfunction fillGeofencingZones(geojson, geoFencingZones) {\n    // According to GBFS specification, in case of conflicting rules\n    // the first rule in the GeoJSON takes precedence\n    // see https://github.com/MobilityData/gbfs/blob/v2.2/gbfs.md#geofencing_zonesjson-added-in-v21\n    // In leaflet, the last features in the GeoJSON are displayed above the first, so to reflect the spirit of the rule\n    // we need to revert the array.\n    geojson.features = geojson.features.reverse()\n\n    L.geoJSON(geojson, {\n        onEachFeature: (feature, layer) => setGBFSGeofencingStyle(feature, layer, geojson.global_rules)\n    }).addTo(geoFencingZones)\n}\n\nfunction fillGBFSMap(resourceUrl, fg, map, lang, firstCall = false) {\n    const geojsonUrl = `/tools/gbfs/geojson_convert?url=${resourceUrl}`\n    fetch(geojsonUrl)\n        .then(response => response.json())\n        .then(data => {\n            clearFeatureGroups(fg)\n\n            if ('stations' in data) {\n                fg.bikesAvailable = fg.bikesAvailable ? fg.bikesAvailable : L.featureGroup()\n                fg.docksAvailable = fg.docksAvailable ? fg.docksAvailable : L.featureGroup()\n                fillStations(data.stations, fg.bikesAvailable, fg.docksAvailable)\n            }\n\n            if ('free_floating' in data) {\n                fg.freeFloating = fg.freeFloating ? fg.freeFloating : L.featureGroup()\n                fillFreeFloating(data.free_floating, fg.freeFloating)\n            }\n\n            if ('geofencing_zones' in data) {\n                fg.geofencingZones = fg.geofencingZones ? fg.geofencingZones : L.featureGroup()\n                fillGeofencingZones(data.geofencing_zones, fg.geofencingZones)\n            }\n\n            setGBFSLayersControl(fg, map, lang)\n            if (firstCall) {\n                // add one of the feature to the map (initial state)\n                const availableLayers = Object.keys(fg)\n                if (availableLayers.length <= 0) {\n                    throw new Error('No GBFS data can be shown on map')\n                }\n                const firstFg = fg[availableLayers[0]]\n\n                firstFg.addTo(map)\n                map.fitBounds(firstFg.getBounds())\n            }\n        })\n        .catch(e => removeViz(e))\n}\n\n// I have removed custom text for vehicle types for the moment.\nfunction setGBFSLayersControl(fg, map, lang) {\n    if (!map.controlLayers) {\n        const control = {}\n        if ('bikesAvailable' in fg) {\n            const label = lang === 'fr' ? 'Véhicules disponibles' : 'Available vehicles'\n            control[label] = fg.bikesAvailable\n        }\n        if ('docksAvailable' in fg) {\n            const label = lang === 'fr' ? 'Places disponibles' : 'Available docks'\n            control[label] = fg.docksAvailable\n        }\n        if ('freeFloating' in fg) {\n            const label = lang === 'fr' ? 'Véhicules free-floating' : 'Free-floating vehicles'\n            control[label] = fg.freeFloating\n        }\n        if ('geofencingZones' in fg) {\n            control.Geofencing = fg.geofencingZones\n        }\n        map.controlLayers = L.control.layers(control, {}, { collapsed: false }).addTo(map)\n    }\n}\n\nfunction addCountdownDiv(id, refreshInterval) {\n    const node = document.createElement('div')\n    node.style.position = 'relative'\n    node.style.zIndex = '1000'\n    node.style.left = '50%'\n    node.id = id\n    const textnode = document.createTextNode(refreshInterval)\n    node.appendChild(textnode)\n    document.getElementById('map').appendChild(node)\n}\n\nfunction createGBFSmap(id, resourceUrl, lang) {\n    const { map, _ } = initilizeMap(id)\n    const featureGroups = {}\n    const refreshInterval = 60\n\n    addCountdownDiv('coutdown', refreshInterval)\n    let countdown = refreshInterval\n\n    fillGBFSMap(resourceUrl, featureGroups, map, lang, true)\n    setInterval(() => {\n        countdown = refreshInterval\n        fillGBFSMap(resourceUrl, featureGroups, map, lang, false)\n    }, refreshInterval * 1000)\n\n    // update the countdown every second\n    const interval = setInterval(() => {\n        const el = document.getElementById('coutdown')\n        if (el) {\n            el.innerHTML = countdown-- <= 3 ? 'mise à jour' : countdown\n        } else {\n            clearInterval(interval)\n        }\n    }, 1000)\n}\n\nfunction createGeojsonMap(id, resourceUrl) {\n    const { map, fg } = initilizeMap(id)\n    fetch(resourceUrl)\n        .then(data => data.json())\n        .then(geojson => {\n            L.geoJSON(geojson).addTo(fg)\n            map.fitBounds(fg.getBounds())\n        })\n        .catch(e => removeViz(e))\n}\n\nfunction removeViz(consoleMsg) {\n    const vis = document.querySelector('#dataset-visualisation')\n    if (vis) {\n        vis.remove()\n    }\n    const menu = document.querySelector('#menu-item-visualisation')\n    if (menu) {\n        menu.remove()\n    }\n    console.log(consoleMsg)\n}\n\nfunction createMap(id, resourceUrl, resourceFormat, lang = 'fr') {\n    if (resourceUrl.endsWith('.csv') || resourceFormat === 'csv') {\n        createCSVmap(id, resourceUrl)\n    } else if (resourceFormat === 'gbfs' || resourceUrl.endsWith('gbfs.json')) {\n        createGBFSmap(id, resourceUrl, lang)\n    } else if (resourceFormat === 'geojson' || resourceUrl.endsWith('.geojson') || resourceUrl.endsWith('.json')) {\n        createGeojsonMap(id, resourceUrl)\n    } else {\n        removeViz(`vizualisation of the resource ${resourceUrl} has failed : not recognized file extension`)\n    }\n}\n\nwindow.createMap = createMap\n"
  },
  {
    "path": "apps/transport/client/javascripts/utils.js",
    "content": "const addSeeMore = function (maxHeight, querySelector, seeMoreText, seeLessText, featureName) {\n    document.querySelectorAll(querySelector).forEach(function (div) {\n        div.style.maxHeight = maxHeight\n        div.style.overflow = 'hidden'\n        if (div.scrollHeight > div.clientHeight) {\n            const parent = div.parentElement\n            const displayMore = document.createElement('div')\n            parent.appendChild(displayMore)\n            displayMore.className = 'displayMore'\n            const linkDisplayMore = document.createElement('a')\n            displayMore.appendChild(linkDisplayMore)\n            linkDisplayMore.innerHTML = seeMoreText\n            displayMore.addEventListener('click', function () {\n                if (div.style.maxHeight !== '100%') {\n                    div.style.maxHeight = '100%'\n                    linkDisplayMore.innerHTML = seeLessText\n                    window._paq.push(['trackEvent', 'see_more', featureName, querySelector])\n                } else {\n                    div.style.maxHeight = maxHeight\n                    linkDisplayMore.innerHTML = seeMoreText\n                }\n            })\n        }\n    })\n}\n// make the function available in templates\nwindow.addSeeMore = addSeeMore\n"
  },
  {
    "path": "apps/transport/client/javascripts/validation-map.js",
    "content": "import L from 'leaflet'\nimport { IGN } from './map-config'\n\nfunction initilizeMap(id) {\n    const map = L.map(id, { renderer: L.canvas() }).setView([46.505, 2], 5)\n    L.tileLayer(IGN.url, IGN.config).addTo(map)\n\n    const fg = L.featureGroup().addTo(map)\n    return { map, fg }\n}\n\nfunction getColor(severity) {\n    const severityColor = {\n        Error: 'red',\n        Warning: '#ff6600',\n        Information: 'orange'\n    }\n    return severityColor[severity] || 'blue'\n}\n\nfunction createValidationMap(divId, dataVis) {\n    const { map, fg } = initilizeMap(divId)\n    const gs = L.geoJSON(dataVis.geojson, {\n        pointToLayer(feature, latlng) {\n            const marker = L.circleMarker(latlng, {\n                radius: 5,\n                fillColor: 'white',\n                fillOpacity: 1,\n                color: getColor(dataVis.severity)\n            })\n            marker.addTo(fg)\n            return marker\n        },\n        style(feature) {\n            if (feature.geometry.type === 'Point') {\n                return {}\n            } else {\n                return {\n                    color: 'black'\n                }\n            }\n        },\n        onEachFeature(feature, layer) {\n            layer.on('mouseover', () => {\n                layer.setStyle({ weight: 5, radius: 7 })\n            })\n            layer.on('mouseout', () => {\n                layer.setStyle({ weight: 3, radius: 5 })\n            })\n        }\n    }).addTo(map)\n    fg.bringToFront()\n    gs.bindPopup(layer => {\n        let popupContent = layer.feature.properties.name || layer.feature.properties.details\n        if (layer.feature.properties.id) {\n            popupContent += `<br>ID ${layer.feature.properties.id}`\n        }\n        return popupContent\n    })\n    const bounds = fg.getBounds()\n    if (bounds.isValid()) {\n        map.fitBounds(fg.getBounds())\n    }\n}\n\nwindow.createValidationMap = createValidationMap\n"
  },
  {
    "path": "apps/transport/client/javascripts/vega.js",
    "content": "import embed from 'vega-embed'\n\nwindow.vegaEmbed = embed\n"
  },
  {
    "path": "apps/transport/client/package.json",
    "content": "{\n  \"version\": \"0.0.1\",\n  \"description\": \"Rendre disponible, valoriser et améliorer les données transports\",\n  \"license\": \"AGPL-3.0\",\n  \"repository\": \"https://github.com/etalab/transport-site.git\",\n  \"scripts\": {\n    \"info\": \"webpack --debug --config webpack.dev.js\",\n    \"watch\": \"webpack --watch-options-stdin --color --config webpack.dev.js\",\n    \"build\": \"webpack --config webpack.prod.js\",\n    \"errors\": \"webpack --display-error-details --config webpack.dev.js\",\n    \"linter:ecma\": \"eslint .\",\n    \"linter:ecma:fix\": \"eslint . --fix\",\n    \"linter:sass\": \"stylelint --config '../../../.stylelintrc.json' 'stylesheets/**/*.scss'\",\n    \"linter:sass:fix\": \"stylelint --config '../../../.stylelintrc.json' 'stylesheets/**/*.scss' --fix\",\n    \"format:check\": \"prettier --check .\",\n    \"format:fix\": \"prettier --write .\"\n  },\n  \"dependencies\": {\n    \"@deck.gl/core\": \"^8.7.0\",\n    \"@deck.gl/layers\": \"^8.7.0\",\n    \"@fortawesome/fontawesome-free\": \"^6.2.0\",\n    \"@tarekraafat/autocomplete.js\": \"^10.2.9\",\n    \"clipboard\": \"^2.0.10\",\n    \"core-js\": \"3\",\n    \"deck.gl-leaflet\": \"^1.2.1\",\n    \"leaflet\": \"^1.4.0\",\n    \"leaflet.pattern\": \"^0.1.0\",\n    \"papaparse\": \"^5.1.1\",\n    \"phoenix\": \"file:../../../deps/phoenix\",\n    \"phoenix_html\": \"file:../../../deps/phoenix_html\",\n    \"phoenix_live_view\": \"file:../../../deps/phoenix_live_view\",\n    \"prismjs\": \"^1.30.0\",\n    \"template.data.gouv.fr\": \"^1.2.1\",\n    \"vega\": \"^5.32.0\",\n    \"vega-embed\": \"^6.22.2\",\n    \"vega-lite\": \"^5.14.1\",\n    \"xml-formatter\": \"^3.5.0\"\n  },\n  \"devDependencies\": {\n    \"@babel/core\": \"^7.22.10\",\n    \"@babel/preset-env\": \"^7.3.4\",\n    \"@eslint/js\": \"^9.25.1\",\n    \"babel-loader\": \"^10.1.1\",\n    \"copy-webpack-plugin\": \"^14.0.0\",\n    \"css-loader\": \"^7.1.4\",\n    \"css-minimizer-webpack-plugin\": \"^8.0.0\",\n    \"eslint\": \"^10.2.1\",\n    \"eslint-config-prettier\": \"^10.1.8\",\n    \"file-loader\": \"^6.2.0\",\n    \"globals\": \"^17.5.0\",\n    \"mini-css-extract-plugin\": \"^2.5.3\",\n    \"prettier\": \"^3.8.3\",\n    \"sass\": \"^1.63.6\",\n    \"sass-loader\": \"^16.0.7\",\n    \"style-loader\": \"^4.0.0\",\n    \"stylelint\": \"^17.4.0\",\n    \"stylelint-config-standard-scss\": \"^17.0.0\",\n    \"stylelint-scss\": \"^7.0.0\",\n    \"webpack\": \"^5.106.2\",\n    \"webpack-cli\": \"^7.0.2\",\n    \"webpack-merge\": \"^6.0.1\"\n  },\n  \"resolutions\": {\n    \"kind-of\": \"^6.0.3\"\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/_states.scss",
    "content": ".is-active {\n  background: $background-color;\n  color: $white;\n}\n\n.is-centered {\n  text-align: center;\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/app.scss",
    "content": "// Global styles: variables, mixins, external libraries, and so on.\n@import 'globals/variables';\n@import 'globals/externals';\n@import 'globals/mixins';\n\n// Components: abstract building blocks as buttons, navigation, etc...\n@import 'components/aom_table';\n@import 'components/autocomplete';\n@import 'components/backoffice';\n@import 'components/blog';\n@import 'components/choose_file';\n@import 'components/colorful-button';\n@import 'components/community-resources';\n@import 'components/dataset-details';\n@import 'components/discussions';\n@import 'components/download_availability';\n@import 'components/error';\n@import 'components/explore';\n@import 'components/fullscreen-wrapper';\n@import 'components/gtfs_diff';\n@import 'components/guide';\n@import 'components/icons';\n@import 'components/legal';\n@import 'components/login';\n@import 'components/logo';\n@import 'components/landing_page_vls';\n@import 'components/mail';\n@import 'components/mailing-list';\n@import 'components/map-js';\n@import 'components/message';\n@import 'components/notification';\n@import 'components/pagination';\n@import 'components/resource-details';\n@import 'components/search';\n@import 'components/shortlist';\n@import 'components/stats';\n@import 'components/tooltip';\n@import 'components/validation';\n@import 'components/feedback';\n\n// States: microinteractions...\n@import 'states';\n\n@import 'main';\n\n// Pages\n@import 'home';\n@import 'datasets';\n@import 'producteurs';\n@import 'espace_producteur';\n@import 'reuser_space';\n@import 'reuses';\n\n// Prism for syntax coloring ; TODO: cherry-pick from the npm package instead\n// (and remove the manual download)\n@import 'prism';\n\n.siri_xml {\n  pre {\n    padding-top: 0;\n    padding-left: 1em;\n    padding-bottom: 0;\n    // TODO: investigate; without this, a big space on left is appearing\n    white-space: normal;\n  }\n\n  code {\n    font-size: 1em;\n    margin: 0;\n    padding: 0;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_aom_table.scss",
    "content": ".aom_table {\n  td {\n    padding: 10px;\n  }\n\n  tr:nth-child(odd) {\n    background-color: $lighter-grey;\n  }\n\n  th {\n    padding-right: 20px;\n    position: relative;\n    cursor: pointer;\n\n    &:hover {\n      background-color: $light-grey;\n    }\n\n    &::after {\n      content: '';\n      height: 30px;\n      width: 15px;\n      position: absolute;\n      top: calc(50% - 15px);\n      right: 0;\n      background: url('/images/icons/unsorted.svg');\n      background-size: cover;\n    }\n\n    &.asc::after {\n      background: url('/images/icons/sorted_asc.svg');\n      background-size: cover;\n    }\n\n    &.desc::after {\n      background: url('/images/icons/sorted_desc.svg');\n      background-size: cover;\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_autocomplete.scss",
    "content": ".autoCompleteResultsField {\n  padding-top: 5px;\n  position: relative;\n}\n\n#autoCompleteResults {\n  background-color: white;\n  width: 100%;\n  position: absolute;\n  text-align: left;\n  z-index: 1;\n\n  &.hidden {\n    display: none;\n  }\n}\n\n#magnifier {\n  color: var(--theme-primary);\n  position: absolute;\n  left: 7px;\n  top: 13px;\n  z-index: 1;\n}\n\n#autoComplete {\n  width: 100%;\n  padding-left: 30px;\n}\n\n.autoComplete_selected {\n  background-color: lightsteelblue;\n  div {\n    background-color: lightsteelblue;\n  }\n}\n\n#autoComplete_list {\n  border: 1px solid var(--theme-border);\n  border-radius: var(--theme-border-radius);\n  padding: 0;\n  margin: 0;\n  li {\n    list-style: none;\n    padding-bottom: 3px;\n    padding-top: 3px;\n    padding-left: 12px;\n    padding-right: 12px;\n    cursor: pointer;\n    div {\n      display: flex;\n      justify-content: space-between;\n      flex-wrap: wrap;\n    }\n    &:hover {\n      background-color: lightsteelblue;\n    }\n    &:nth-of-type(1) {\n      border-bottom: 1px;\n      padding-top: 12px;\n      padding-bottom: 6px;\n    }\n    &:nth-of-type(2) {\n      padding: 0;\n      margin-top: 3px;\n      background-color: white;\n      div {\n        padding-right: 12px;\n        .autocomplete_name {\n          padding-top: 3px;\n          padding-bottom: 0;\n          padding-left: 12px;\n        }\n        &:hover {\n          background-color: lightsteelblue;\n        }\n      }\n    }\n    &:nth-of-type(2)::before {\n      flex: 0 0 90%;\n      color: grey;\n      padding-left: 12px;\n      padding-right: 12px;\n    }\n    &:last-of-type {\n      padding-bottom: 12px;\n    }\n    .autocomplete_type {\n      color: grey;\n    }\n  }\n}\n\n#autoComplete_list:empty {\n  display: none;\n}\n\n.autoComplete_highlighted {\n  font-weight: bold;\n  color: var(--theme-primary);\n  background: transparent;\n}\n\n#autoComplete_list.no_legend {\n  li {\n    &:nth-of-type(1) {\n      border-bottom: 0;\n      padding-top: 3px;\n      padding-bottom: 3px;\n    }\n    &:nth-of-type(2)::before {\n      content: '';\n      display: block;\n    }\n  }\n}"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_backoffice.scss",
    "content": ".dataset_import_validations_logs {\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  padding-top: 48px;\n  th,\n  td {\n    padding: 0 3px;\n    text-align: center;\n  }\n  table,\n  th,\n  td {\n    border: 1px solid var(--light-grey);\n    border-collapse: collapse;\n  }\n}\n\n.backoffice-results {\n  width: 100%;\n  border-collapse: collapse;\n  border: 0 solid black;\n  th {\n    text-align: left;\n    border: 0 solid black;\n  }\n  td {\n    border: 0 solid black;\n    padding: 2px;\n  }\n  tr {\n    padding: 6px;\n    height: 50px;\n  }\n  tr:hover {\n    background-color: #ebebeb;\n  }\n  tr:first-of-type > th:first-of-type {\n    width: 250px;\n  }\n}\n\n.bo_action_button {\n  form > button,\n  div > button {\n    padding: 2px;\n    margin: 0;\n    &:hover {\n      padding: 2px;\n      margin: 0;\n    }\n  }\n}\n\n.separator {\n  text-align: center;\n  padding-top: 1em;\n  padding-bottom: 1em;\n  font-weight: bold;\n}\n\n.import-all > form {\n  margin: 0;\n}\n\n#backoffice_dataset_submit_buttons {\n  display: flex;\n  justify-content: center;\n  align-items: flex-end;\n  div {\n    padding: 0 12px;\n  }\n}\n\n.backoffice_dataset_actions_buttons {\n  display: flex;\n  justify-content: center;\n}\n\n#backoffice_search {\n  padding-left: 30px;\n  width: 400px;\n  display: inline-block;\n}\n\n#backoffice_search_container {\n  margin: 0;\n  max-width: 100%;\n\n  .form__group {\n    display: inline-block;\n  }\n}\n\n.backoffice_search_button {\n  display: inline-block;\n  margin-left: 16px !important;\n}\n\n.pl-12 {\n  padding-left: 12px;\n}\n\n.pl-24 {\n  padding-left: 24px;\n}\n\n.pt-6 {\n  padding-top: 6px;\n}\n\n.pt-12 {\n  padding-top: 12px;\n}\n\n.sortable > a {\n  text-decoration: none;\n  color: var(--theme-dark-text);\n}\n\n.sort-icon {\n  color: var(--grey);\n  padding-left: 3px;\n}\n\n.dashboard-description {\n  margin: 0 auto;\n  max-width: 700px;\n}\n\n.dashboard-heatmap {\n  border-spacing: 1px;\n  border-collapse: separate;\n  margin: 0 auto;\n  margin-bottom: 2em;\n  background-color: #ddd;\n  a {\n    text-decoration: none;\n    color: #333;\n  }\n  a:hover {\n    text-decoration: underline;\n  }\n  .no_import {\n    background-color: rgb(71 32 32);\n  }\n  .only_failures {\n    background-color: red;\n  }\n  .some_failures {\n    background-color: orange;\n  }\n  .only_successes {\n    background-color: rgb(0 255 0);\n  }\n  /* I used class to work around linter error here */\n  .dataset {\n    padding: 0;\n    margin: 0;\n    border-spacing: 1px;\n    border-bottom: 1px solid black;\n  }\n  .heatmap-header {\n    font-size: 8px;\n    line-height: 10px;\n    font-weight: normal;\n  }\n  td {\n    padding: 3px 6px;\n    border: none !important;\n  }\n}\n\n.panel-explanation {\n  color: var(--grey);\n  position: relative;\n  top: -1em;\n  right: 0;\n  text-align: right;\n  & + h4 {\n    margin-top: -1em;\n  }\n}\n\n.custom-tag {\n  animation: fade-in 0.5s;\n  &.green {\n    background-color: var(--light-green);\n  }\n  &.blue {\n    background-color: var(--lighter-blue);\n  }\n  &.orange {\n    background-color: var(--light-orange);\n  }\n  &.grey {\n    background-color: var(--lighter-grey);\n  }\n  &.dark-blue {\n    background-color: var(--dark-blue);\n    color: white;\n  }\n  .delete-tag {\n    cursor: pointer;\n    display: inline-block;\n    margin-left: 5px;\n    box-sizing: border-box;\n    width: 15px;\n    height: 15px;\n    border-width: 3px;\n    border-style: solid;\n    border-color: var(--grey);\n    border-radius: 100%;\n    background: linear-gradient(\n      -45deg,\n      transparent 0%,\n      transparent 46%,\n      white 46%,\n      white 56%,\n      transparent 56%,\n      transparent 100%\n    ),\n      linear-gradient(\n      45deg,\n      transparent 0%,\n      transparent 46%,\n      white 46%,\n      white 56%,\n      transparent 56%,\n      transparent 100%\n    );\n    background-color: var(--grey);\n\n    &:hover {\n      background-color: var(--dark-grey);\n      border-color: var(--dark-grey);\n    }\n  }\n}\n\n@keyframes fade-in {\n  0% {\n    opacity: 0;\n  }\n  100% {\n    opacity: 1;\n  }\n}\n\n.red {\n  color: red;\n}\n\niframe#email_preview {\n  border-radius: 8px;\n  border: 2px solid var(--grey);\n  aspect-ratio: 16 / 9;\n  max-width: 700px;\n  margin: 0 auto;\n  display: block;\n}\n\n#jobs {\n  margin: 24px;\n  display: flex;\n  flex-direction: column;\n  gap: 16px;\n\n  .job-state {\n    --taint: lightgray;\n\n    color: contrast-color(var(--taint));\n    background: var(--taint);\n    border: 1px solid var(--taint);\n    display: inline-block;\n    border-radius: 8px;\n    padding: 0 6px;\n    line-height: 1.25rem;\n    font-weight: 600;\n    font-size: 0.85rem;\n  }\n\n  .job-state-executing {\n    --taint: navy;\n  }\n\n  .job-state-completed {\n    --taint: green;\n  }\n\n  .job-state-scheduled {\n    --taint: purple;\n  }\n\n  .job-state-retryable {\n    --taint: orange;\n  }\n\n  .job-state-available {\n    /* --taint: lightgray; */\n  }\n\n  .job-state-discarded {\n    --taint: color-mix(red 70%, white);\n  }\n\n  span.timestamp {\n    cursor: help;\n\n    &::before {\n      content: attr(data-datetime);\n      position-anchor: --timestamp;\n      position: fixed;\n      display: none;\n      bottom: calc(anchor(top) + 4px);\n      justify-self: anchor-center;\n      background: white;\n      border: 1px solid var(--light-grey);\n      border-radius: calc(var(--space-xs) / 2);\n      box-shadow: 0 0 15px $box-shadow;\n      padding: calc(var(--space-xs) / 2) var(--space-xs);\n    }\n\n    &:hover {\n      anchor-name: --timestamp;\n    }\n\n    &:hover::before {\n      display: block;\n    }\n  }\n\n  table tr th,\n  table tr td {\n    font-size: 0.9rem;\n    line-height: 1.1rem;\n    padding: var(--space-xs) var(--space-s);\n  }\n\n  table tr th {\n    text-wrap: nowrap;\n    position: sticky;\n    top: 0;\n  }\n\n  table tr td {\n    vertical-align: top;\n\n    ol.errors {\n      margin: 0;\n      padding: 0;\n\n      li {\n        margin: 0;\n        padding: 0;\n      }\n    }\n  }\n\n  code {\n    font-size: 0.75rem;\n    line-height: 1rem;\n  }\n\n  form.jobs-filter {\n    max-width: unset;\n    display: flex;\n    flex-wrap: wrap;\n    align-items: center;\n    gap: 8px;\n\n    input[type=\"text\"] {\n      flex: 1;\n      line-height: 1;\n      min-width: 30ch;\n      max-width: 60ch;\n      padding: 0.25em;\n    }\n\n    .vsep {\n      width: 1px;\n      margin-block: 4px;\n      align-self: stretch;\n      background-color: lightgray;\n    }\n\n    .listing-toggle {\n      cursor: pointer;\n      display: inline-flex;\n      align-items: center;\n\n      input[type=\"checkbox\"] {\n        margin-right: calc(var(--space-xs) / 2);\n        transform: scale(0.8);\n      }\n    }\n\n    .listing-toggle, .total {\n      font-size: 0.85rem;\n      line-height: 1rem;\n    }\n\n    button {\n      margin: 0;\n    }\n\n    label.job-state {\n      line-height: 1.25rem;\n      cursor: pointer;\n      transition: all 50ms linear;\n\n      input[type=\"checkbox\"] {\n        display: none;\n\n        &:checked {\n          --taint: lightgray;\n\n          background-color: var(--taint);\n          color: var(--taint);\n          border-color: var(--taint);\n        }\n      }\n\n      &:not(:has(input:checked)) {\n         --taint: white;\n\n         opacity: 0.6;\n         border: 1px dashed gray;\n\n         &:hover {\n           opacity: 1;\n         }\n      }\n    }\n  }\n\n  dialog.right-side {\n    position: fixed;\n    z-index: 200;\n    right: 0;\n    top: 0;\n    bottom: 0;\n    margin-right: 0;\n    height: 100vh;\n    min-width: 30vw;\n    max-width: 90vw;\n    box-shadow: 0 0 15px $box-shadow;\n    border-radius: 0;\n    overflow-y: scroll;\n    overscroll-behavior: contain;\n\n    .header_with_action_bar {\n      align-items: center;\n    }\n\n    code {\n      max-width: 80ch;\n      margin: 0 auto;\n    }\n\n    h2 {\n      margin-bottom: 0;\n    }\n  }\n\n  button.show-details {\n    border: none;\n    background: none;\n    text-decoration: underline;\n    color: var(--theme-primary);\n\n    &:hover {\n      color: var(--dark-blue);\n      background-color: var(--lighter-grey);\n      text-decoration: none;\n      border-radius: var(--theme-border-radius);\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_blog.scss",
    "content": "article.panel {\n  p {\n    img {\n      display: block;\n      margin-left: auto;\n      margin-right: auto;\n      max-width: 100%;\n      max-height: 30em;\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_choose_file.scss",
    "content": ".add-update-resource {\n  .small-bottom-margin {\n    margin-bottom: 6px;\n  }\n\n  .choose-file {\n    background-color: var(--theme-background-grey);\n    padding-bottom: 24px;\n    .option-1,\n    .option-2,\n    .validation-reminder {\n      display: flex;\n      .panel {\n        flex-basis: 40vw;\n        flex-grow: 1;\n        max-width: 800px;\n      }\n    }\n    form {\n      margin: 0;\n    }\n  }\n\n  .choose-or {\n    padding: 6px 0;\n    font-weight: bold;\n  }\n  .button.primary {\n    background-color: var(--primary-color-producer);\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_colorful-button.scss",
    "content": "/* Colorful link or button\n *\n * Defaults to blue.\n *\n * Variant classes:\n * - `.valid`: green\n * - `.invalid`: red\n * - `.striped`: striped background, doesn't change the color\n * - `.selected`: highlighted button, white content and colored background, typically used for active page\n */\na.colorful, button.colorful {\n  --taint: var(--blue);\n  --light-taint: color-mix(in oklab, var(--taint) 20%, white);\n  --border-width-deselected: 1px;\n  --border-width-hover: 3px;\n  --padding-block: var(--space-xs);\n  --padding-inline: var(--space-s);\n\n  display: inline-flex;\n  line-height: normal;\n  font-size: $font-size;\n  font-family: $font-family-primary;\n  gap: var(--space-xs);\n  padding: var(--padding-block) var(--padding-inline);\n  background-color: var(--light-taint);\n  border: var(--border-width-deselected) solid var(--taint);\n  border-radius: 4px;\n  color: var(--darkest-grey);\n  text-decoration: none;\n  background-origin: border-box;\n  background-position-x: var(--border-width-deselected);\n  background-position-y: var(--border-width-deselected);\n\n  * {\n    color: var(--darkest-grey);\n  }\n\n  .fa {\n    color: var(--taint);\n  }\n\n  &:visited {\n    color: var(--taint);\n  }\n\n  &.selected {\n    background-color: var(--taint);\n    color: white;\n    text-shadow: 0 0 2px var(--darker-grey);\n\n    * {\n      color:white;\n    }\n  }\n\n  &.valid {\n    --taint: var(--green);\n  }\n\n  &.invalid {\n    --taint: var(--red);\n  }\n\n  &.striped {\n    --alt-taint: color-mix(in oklab, var(--taint) 90%, white);\n    --light-alt-taint: color-mix(in oklab, var(--light-taint) 60%, white);\n    --stripes-width: 20px;\n\n    background-image: repeating-linear-gradient(\n      -45deg,\n      var(--light-taint),\n      var(--light-taint) var(--stripes-width),\n      var(--light-alt-taint) var(--stripes-width),\n      var(--light-alt-taint) calc(var(--stripes-width) * 2)\n    );\n\n    &.selected {\n      background-image: repeating-linear-gradient(\n        -45deg,\n        var(--taint),\n        var(--taint) var(--stripes-width),\n        var(--alt-taint) var(--stripes-width),\n        var(--alt-taint) calc(var(--stripes-width) * 2)\n      );\n    }\n  }\n\n  i.fa {\n    align-self: center;\n    justify-self: center;\n  }\n\n  &:hover, &:focus, &.selected {\n    border-width: var(--border-width-hover);\n    background-position-x: calc(var(--border-width-hover) - 2 * var(--border-width-deselected));\n    background-position-y: calc(var(--border-width-hover) - 2 * var(--border-width-deselected));\n    padding:\n      calc(var(--padding-block) + var(--border-width-deselected) - var(--border-width-hover))\n      calc(var(--padding-inline) + var(--border-width-deselected) - var(--border-width-hover));\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_community-resources.scss",
    "content": "#communityresources {\n  h4 {\n    margin-top: 0.5em;\n    margin-bottom: 0.3em;\n  }\n\n  .main-pan {\n    margin-top: 1em;\n  }\n\n  .community-resources__logo {\n    min-width: 3em;\n    min-height: 3em;\n  }\n\n  .community-resources__side-pan {\n    margin-right: 4em;\n    position: relative;\n  }\n\n  .community-resources__organization-name {\n    position: absolute;\n    bottom: 0;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_dataset-details.scss",
    "content": ".dataset-page {\n  display: flex;\n  flex-wrap: wrap-reverse;\n  align-items: stretch;\n  justify-content: center;\n  background-color: var(--theme-background-grey);\n  padding-top: 48px;\n}\n\n.dataset-menu-container {\n  background-color: var(--theme-background-grey);\n  flex-basis: 250px;\n  flex-shrink: 1;\n  flex-grow: 1;\n  @media (max-width: 950px) {\n    display: none;\n  }\n  @media (max-width: 1260px) {\n    flex-basis: 150px;\n  }\n  .dataset-menu {\n    padding-top: 0;\n    position: sticky;\n    display: flex;\n    flex-direction: column;\n    align-items: flex-end;\n    top: 48px;\n  }\n  .menu-item {\n    padding-bottom: 24px;\n    width: 150px;\n  }\n  a {\n    text-decoration: none;\n    color: var(--theme-dark-text);\n  }\n}\n\n.dataset-infos {\n  background-color: var(--theme-background-grey);\n  flex-grow: 4;\n  flex-basis: 700px;\n  padding: 0 12px 48px;\n  min-width: 0;\n}\n\n.dataset-metas {\n  background-color: var(--theme-background-grey);\n  flex-basis: 250px;\n  min-width: 300px;\n  flex-grow: 1;\n  flex-shrink: 1;\n  padding: 0 12px 48px;\n  font-style: normal;\n  .icon {\n    margin-right: .2em;\n  }\n  .dataset-metas-info-title {\n    color: var(--theme-label-text);\n  }\n  .dataset-tags {\n    display: flex;\n    flex-wrap: wrap;\n  }\n}\n\n@keyframes fade-in {\n  0% {\n    opacity: 0;\n  }\n\n  100% {\n    opacity: 1;\n  }\n}\n\n.dataset-title-div {\n  background-color: white;\n  margin: 0 auto;\n  padding: 96px 0;\n  text-align: center;\n  @media (max-width: 1250px) {\n    padding: 48px 0;\n  }\n}\n\n.dataset__resources ~ .dataset__resources {\n  padding-top: 1vh;\n}\n\n.dataset__resources .information-message {\n  color: var(--theme-label-text);\n}\n\n.dataset__resources .resources-message {\n  color: var(--theme-label-text);\n}\n\n.dataset__resources .warning-red {\n  color: var(--theme-error-border);\n}\n\n.dataset__logo {\n  img {\n    max-height: 100px;\n    max-width: 150px;\n    object-fit: contain;\n  }\n}\n\n.resource--download {\n  display: flex;\n\n  i {\n    font-size: 2em;\n  }\n\n  div > h6 {\n    color: var(--black);\n    text-decoration: none;\n  }\n}\n\n.community-resource-detail {\n  display: block !important;\n  text-align: left !important;\n  flex-grow: 1;\n  .community-resource-source {\n    margin-bottom: 0;\n  }\n  p {\n    margin: 0;\n  }\n}\n\n.resource__details {\n  display: flex;\n  flex-direction: row;\n  width: 40%;\n\n  div {\n    display: flex;\n    flex-direction: column;\n    width: 50%;\n    padding-left: 5%;\n    text-align: center;\n  }\n}\n\n.resource--download > div:last-child {\n  display: flex;\n  flex-direction: column;\n}\n\n.ressources-list {\n  display: flex;\n  flex-wrap: wrap;\n  align-items: stretch;\n  margin: 0 -12px;\n\n  .panel {\n    margin: 12px;\n  }\n}\n\n.resource__summary--Fatal,\n.resource__summary--Fatal a {\n  color: var(--theme-error-border) !important;\n}\n.resource__summary--Error,\n.resource__summary--Error a {\n  color: var(--theme-error-border) !important;\n}\n.resource__summary--Warning,\n.resource__summary--Warning a {\n  color: var(--theme-warning-border) !important;\n}\n.resource__summary--Information,\n.resource__summary--Information a {\n  color: var(--theme-info-border) !important;\n}\n.resource__summary--Irrelevant,\n.resource__summary--Irrelevant a {\n  color: var(--theme-success-border) !important;\n}\n.resource__summary--Success,\n.resource__summary--Success a {\n  color: var(--theme-success-border) !important;\n}\n\n.resource {\n  flex-basis: calc(45% - 24px);\n  min-width: 400px;\n  display: flex;\n  flex-direction: column;\n  justify-content: space-between;\n  .button-outline:hover {\n    background-color: transparent;\n  }\n  h4 {\n    display: inline-block;\n    margin-bottom: 0;\n    margin-right: 5%;\n    font-size: 1em;\n    overflow: hidden;\n    text-overflow: ellipsis;\n  }\n  &:hover h4 {\n    background: white;\n    padding-right: 3px;\n    width: fit-content;\n    z-index: 10;\n  }\n  .resource-panel-bottom {\n    display: flex;\n    justify-content: space-between;\n    flex-direction: column;\n    .resource-actions {\n      flex-shrink: 1;\n      display: flex;\n      flex-wrap: wrap;\n      align-items: flex-end;\n      justify-content: space-between;\n      .button-outline.secondary.no-border {\n        padding: 0 12px 0 0;\n        border: none;\n      }\n    }\n  }\n  .button {\n    margin: 0;\n  }\n  a.light-grey-link {\n    color: var(--theme-label-text) !important;\n    &:hover {\n      background-color: transparent !important;\n      color: var(--theme-dark-text) !important;\n    }\n  }\n  a {\n    text-decoration: none;\n    &:hover {\n      background-color: transparent !important;\n    }\n  }\n  .resource-format {\n    display: flex;\n    align-items: center;\n    flex-wrap: wrap;\n  }\n}\n\n.dark {\n  color: var(--theme-dark-text) !important;\n}\n\n.light-grey {\n  color: var(--theme-label-text) !important;\n}\n\n.panel.invalid-resource-panel {\n  background-color: #f5f6f7;\n}\n\n.community-resource-download {\n  align-self: flex-end;\n}\n\n.resource-status-corner {\n  position: absolute;\n  top: 0;\n  right: 0;\n  width: 0;\n  height: 0;\n  border-bottom: 75px solid transparent;\n  border-left: 75px solid transparent;\n\n  span {\n    position: absolute;\n    top: -60px;\n    width: 100px;\n    left: -75px;\n    text-align: center;\n    font-size: 12px;\n    font-family: arial;\n    transform: rotate(45deg);\n    display: block;\n  }\n}\n\n.span-unavailable {\n  line-height: 1em;\n}\n\n.ml-05-em {\n  margin-left: 0.5em;\n}\n\n.resource--valid {\n  border-top: 75px solid var(--theme-success-bg);\n}\n\n.resource--outdated {\n  border-top: 75px solid var(--theme-background-grey);\n}\n\n.resource--unavailable {\n  border-top: 75px solid var(--theme-error-bg);\n}\n\n.resource__header {\n  padding-bottom: 1em;\n  width: 60%;\n}\n\n.mode,\n.version {\n  background-color: var(--lighter-blue);\n}\n\n.reuses {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: space-between;\n  align-items: stretch;\n  margin: -12px;\n}\n\n.reuse {\n  margin: 12px;\n  flex-basis: 450px;\n  // min-width: 450px;\n  flex-grow: 1;\n  min-height: 300px;\n  max-height: 400px;\n  display: flex;\n  flex-direction: column;\n  flex-wrap: wrap;\n  img {\n    width: 25%;\n    height: 100px;\n    object-fit: cover;\n    padding-right: 24px;\n  }\n\n  .reuse__links {\n    width: 25%;\n    height: 100px;\n    display: flex;\n    flex-direction: column;\n\n    a {\n      line-height: 1.1em;\n      padding-top: 1em;\n    }\n  }\n  .reuse__details {\n    min-height: 200px;\n    width: 75%;\n    flex-basis: 100%;\n    overflow: auto;\n  }\n}\n\n.dataset-details__discussions {\n  .panel__header {\n    div {\n      display: flex;\n      justify-content: space-between;\n\n      .form {\n        margin: 0;\n      }\n    }\n  }\n}\n\n@media (max-width: 749px) {\n  .community-resource-detail {\n    text-align: center !important;\n  }\n\n  .ressources-list {\n    justify-content: center;\n  }\n\n  .resource__header,\n  .resource__details {\n    width: 100%;\n  }\n\n  .panel__header {\n    text-align: center;\n\n    div {\n      flex-direction: column;\n      text-align: center;\n    }\n  }\n\n  .resource--download {\n    flex-direction: column;\n    justify-content: center;\n\n    div {\n      text-align: center;\n    }\n\n    .icon {\n      margin-right: 0;\n    }\n  }\n\n  .resource__details {\n    flex-direction: column;\n    justify-content: center;\n\n    div {\n      width: 100%;\n    }\n  }\n\n  .reuse {\n    flex-wrap: nowrap;\n    img {\n      height: 50%;\n      max-height: 50%;\n      width: 100%;\n      object-fit: cover;\n      padding: 0;\n    }\n\n    .reuse__links {\n      width: 100%;\n      flex-basis: 0;\n      flex-direction: row;\n      justify-content: space-around;\n\n      a {\n        padding-top: 6px;\n        padding-bottom: 12px;\n        margin: 0;\n      }\n    }\n    .reuse__details {\n      text-align: center;\n      width: 100%;\n      flex-basis: 100%;\n      min-height: 0;\n      overflow: hidden;\n    }\n  }\n\n  .dataset {\n    .section {\n      padding: 1em 0;\n    }\n\n    .section-grey {\n      padding: 3em 0;\n    }\n  }\n}\n\n.pb-48 {\n  padding-bottom: 48px;\n}\n\n.pb-24 {\n  padding-bottom: 24px;\n}\n\n.pb-12 {\n  padding-bottom: 12px;\n}\n\n.pb-6 {\n  padding-bottom: 6px;\n}\n\n.pt-48 {\n  padding-top: 48px;\n}\n\n.pt-96 {\n  padding-top: 96px;\n}\n\n.pt-24 {\n  padding-top: 24px;\n}\n\n.pt-12 {\n  padding-top: 12px;\n}\n\n.p-24 {\n  padding: 24px;\n}\n\n.p-6 {\n  padding: 6px;\n}\n\n.p-12 {\n  padding: 12px;\n}\n\n.mt-12 {\n  margin-top: 12px;\n}\n\n.mt-24 {\n  margin-top: 24px;\n}\n\n.mb-24 {\n  margin-bottom: 24px;\n}\n\n.mr-24 {\n  margin-right: 24px;\n}\n\n.my-\\.5 {\n  margin: .5em 0;\n}\n\n.no-padding {\n  padding: 0 !important;\n}\n\n.dataset-type-info {\n  display: flex;\n  align-items: center;\n}\n\n.dataset-icon-type img {\n  width: 26px;\n  vertical-align: middle;\n  padding-right: 6px;\n}\n\n.ign-tile {\n  filter: grayscale(100%) opacity(70%);\n}\n\n.leaflet-map {\n  width: 100%;\n  height: 400px;\n  margin: 0 auto;\n  z-index: 0;\n  input[type='radio'] {\n    width: 16px;\n    height: 16px;\n  }\n  input[type='radio']::before {\n    top: 15%;\n    left: 15%;\n    width: 10px;\n    height: 10px;\n  }\n  .leaflet-popup-content {\n    overflow: auto;\n  }\n}\n\n#dataset-covered-area-map {\n  width: 100%;\n  max-width: 400px;\n  height: 400px;\n  z-index: 0;\n}\n\n.leaflet-tooltip-pane .leaflet-tooltip {\n  color: white;\n  font-weight: bold;\n  background: transparent;\n  border: 0;\n  box-shadow: none;\n}\n\n.reuses_not_available {\n  font-style: italic;\n}\n\n.container_max_700px {\n  max-width: 700px;\n  margin-left: auto;\n  margin-right: auto;\n}\n\n.panel > :first-child {\n  margin-top: 0;\n}\n\nhr {\n  border-bottom: 1px solid var(--theme-border-lighter);\n}\n\n.discussion, #notifications-sent, #backed-up-resources {\n  .displayMore {\n    text-align: center;\n    margin-bottom: 1em;\n  }\n}\n\n#vega-vis {\n  width: 100%;\n  max-width: 900px;\n  margin: 1em auto;\n  display: block;\n}\n\n.follow-dataset-icon {\n  text-align: right;\n\n  a:hover {\n    background: transparent;\n  }\n\n  p.notification {\n    text-align: left;\n    transition: all 1s;\n    opacity: 0;\n    display: none;\n    &.active {\n      display: block;\n      animation: fade-in 1s;\n      opacity: 1;\n    }\n  }\n}\n\n.netex-conversion-modal .button__group {\n  a.button:hover {\n    background-color: var(--theme-secondary-darken) !important;\n  }\n  a.button.secondary:hover {\n    background-color: var(--darkest-grey) !important;\n  }\n\n  .button {\n    display: flex;\n    align-items: center;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_discussions.scss",
    "content": ".discussion {\n  margin-bottom: 2vw;\n\n  .discussion-date {\n    color: var(--darker-grey);\n    margin-left: 0.5em;\n  }\n\n  .discussion-title {\n    display: flex;\n    h4 {\n      margin-right: 0.5em;\n    }\n  }\n  .discussion-comment {\n    padding: 0 0 1vw 1vw;\n    display: flex;\n    flex-direction: row;\n\n    @media (max-width: 749px) {\n      flex-direction: column;\n    }\n\n    img {\n      height: 52px;\n      width: 52px;\n    }\n\n    div:first-child {\n      padding-right: 1vw;\n    }\n  }\n\n  .discussion-comment + .discussion-comment {\n    padding: 1vw 0 1vw 1vw;\n  }\n\n  .discussion-comment__content p:last-child {\n    margin-bottom: 0;\n  }\n\n  .discussion__post {\n    padding-top: 2em;\n  }\n\n  .discussion-form {\n    padding-bottom: 5vh;\n  }\n\n  .label--role {\n    margin-left: 1em;\n  }\n}\n\n.discussion-modal, .discussion {\n  textarea {\n    min-height: 10em;\n  }\n}\n\n.discussion-modal {\n  display: none;\n  &:target {\n    display: block;\n  }\n}\n\n// Auto expanding textarea, deeply inspired by https://css-tricks.com/the-cleanest-trick-for-autogrowing-textareas/\n.autoexpand {\n  /* easy way to plop the elements on top of each other and have them both sized based on the tallest one's height */\n  display: grid;\n\n  &::after {\n    /* Note the weird space! Needed to preventy jumpy behavior */\n    content: attr(data-replicated-value) \" \";\n\n    /* This is how textarea text behaves */\n    white-space: pre-wrap;\n\n    /* Hidden from view, clicks, and screen readers */\n    visibility: hidden;\n  }\n\n  > textarea {\n    /* You could leave this, but after a user resizes, then it ruins the auto sizing */\n    resize: none;\n\n    /* Firefox shows scrollbar on growth, you can hide like this. */\n    overflow: hidden;\n  }\n\n  &::after, > textarea {\n    /* Identical styling required!! */\n    font: inherit;\n    padding: 0.5em 0.875em;\n    border: 1px solid var(--theme-border);\n    border-radius: var(--theme-border-radius);\n\n    /* Place on top of each other */\n    grid-area: 1 / 1 / 2 / 2;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_download_availability.scss",
    "content": ".download_availability {\n  display: flex;\n  align-items: flex-end;\n  height: 36px;\n  width: 100%;\n\n  @media (max-width: 950px) {\n    justify-content: center;\n  }\n  .flex_container {\n    display: flex;\n    align-items: baseline;\n    width: 100%;\n    .day {\n      flex: 1 1 12px;\n      max-width: 14px;\n      height: 30px;\n      transition: height 0.1s;\n      border-radius: 4px;\n      &:hover {\n        height: 35px;\n        filter: brightness(110%);\n      }\n    }\n    .day ~ .day {\n      margin-left: 3px;\n    }\n  }\n\n  $color-availability-100: rgb(117 206 94) !default;\n  $color-availability-99: rgb(189 206 94) !default;\n  $color-availability-95: rgb(206 185 94) !default;\n  $color-availability-50: rgb(255 118 83) !default;\n  $color-availability-low: rgb(199 18 18) !default;\n\n  .download_availability_100 {\n    background-color: $color-availability-100;\n  }\n  .download_availability_99 {\n    background-color: $color-availability-99;\n  }\n  .download_availability_95 {\n    background-color: $color-availability-95;\n  }\n  .download_availability_50 {\n    background-color: $color-availability-50;\n  }\n  .download_availability_low {\n    background-color: $color-availability-low;\n  }\n\n  .download_availability_100_text {\n    color: $color-availability-100;\n    filter: brightness(70%);\n  }\n  .download_availability_99_text {\n    color: $color-availability-99;\n    filter: brightness(70%);\n  }\n  .download_availability_95_text {\n    color: $color-availability-95;\n    filter: brightness(70%);\n  }\n  .download_availability_50_text {\n    color: $color-availability-50;\n    filter: brightness(70%);\n  }\n  .download_availability_low_text {\n    color: $color-availability-low;\n    filter: brightness(70%);\n  }\n\n  + details {\n    > summary {\n      cursor: pointer;\n    }\n\n    > div {\n      margin-top: 5pt;\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_error.scss",
    "content": ".error {\n  margin-top: 48px;\n  text-align: center;\n  h1 {\n    font-size: 1.2em;\n    font-weight: bold;\n    margin: 0 auto;\n    max-width: 500px;\n  }\n}\n\n.error__background {\n  background: url('../images/error-background-1920.jpg') no-repeat center center\n    fixed;\n  background-size: cover;\n  width: 75vw;\n  margin: 1em auto;\n  min-height: 90vw;\n}\n\n@include media-tablet-up {\n  .error__background {\n    min-height: 45vw;\n  }\n}\n\n@include media-desktop-up {\n  .error__background {\n    min-height: 25vw;\n  }\n}\n\n.error__background.internal_error {\n  background: url('../images/train_wreck_at_Montparnasse_1895.jpg') no-repeat\n    center bottom;\n  background-size: cover;\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_explore.scss",
    "content": ".explore .grid {\n  display: grid;\n  grid-template-columns: 1fr 1fr;\n  grid-template-areas:\n    \"gtfs-rt irve\"\n    \"bnlc    gbfs_stations\"\n    \"zfe     .\";\n  column-gap: 24px;\n  row-gap: 12px;\n  justify-content: space-between;\n  justify-items: stretch;\n  padding-bottom: 24px;\n  padding-inline: 48px;\n\n  .gtfs-rt       { grid-area: gtfs-rt;       }\n  .zfe           { grid-area: zfe;           }\n  .bnlc          { grid-area: bnlc;          }\n  .irve          { grid-area: irve;          }\n  .gbfs_stations { grid-area: gbfs_stations; }\n\n  > div summary {\n    cursor: pointer;\n  }\n}\n\n.checkbox-explore {\n  display: flex;\n  align-items: flex-start;\n  input {\n    flex-shrink: 0;\n    flex-grow: 0;\n    flex-basis: 1;\n    margin-right: 15px;\n  }\n  details {\n    margin-top: 0;\n  }\n  #gtfs-rt-check:checked {\n    background-color: rgb(0 150 136);\n  }\n  #bnlc-check:checked {\n    background-color: rgb(255 174 0);\n  }\n  #zfe-check:checked {\n    background-color: rgb(52 8 143);\n  }\n  #irve-check:checked {\n    background-color: rgb(245 40 145);\n  }\n  #gbfs_stations-check:checked {\n    background-color: rgb(60 115 168);\n  }\n}\n\n@media (max-width: 949px) {\n  .explore .grid {\n    grid-template-columns: 1fr;\n    grid-template-areas:\n      \"gtfs-rt\"\n      \"bnlc\"\n      \"zfe\"\n      \"irve\"\n      \"gbfs_stations\";\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_feedback.scss",
    "content": ".feedback-selector {\n    input {\n        display: none;\n    }\n\n    label {\n        cursor: pointer;\n        display: inline-block;\n        margin-right: 12px;\n        filter: brightness(1.8) grayscale(1) opacity(0.7);\n    }\n\n    label:hover {\n        filter: brightness(1.2) grayscale(0.5) opacity(0.9);\n    }\n\n    input:checked + label {\n        filter: none;\n        color: $primary;\n    }\n\n    .feedback-emojis {\n        font-size: 48px;\n    }\n}\n\n.feedback-form {\n    #full-feedback-form.hidden {\n        display: none;\n    }\n\n    .form__group + #full-feedback-form {\n        margin-top: var(--space-l);\n    }\n\n    .form-special-field {\n        // hide field used as honey-pot\n        display: none;\n    }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_fullscreen-wrapper.scss",
    "content": "#fullscreen-wrapper {\n  button {\n    background-color: var(--lighter-grey);\n    border: 1px solid var(--grey);\n    border-radius: 4px;\n    padding: var(--space-xs) var(--space-s);\n    display: inline-flex;\n    gap: var(--space-xs);\n\n    i.fa {\n      align-self: center;\n      justify-self: center;\n    }\n  }\n\n  #enter-fullscreen {\n    float: right;\n  }\n\n  #exit-fullscreen {\n    display: none;\n  }\n}\n\n:fullscreen {\n  #fullscreen-wrapper {\n    position: fixed;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n    z-index: 10;\n\n    .dashboard {\n      height: 100%;\n      width: 100%;\n    }\n\n    #enter-fullscreen {\n      display: none;\n    }\n\n    #exit-fullscreen {\n      display: inline-flex;\n      position: fixed;\n      top: -2px;\n      left: 50%;\n      transform: translateX(-50%);\n      transition: top 250ms;\n\n      &:hover {\n        top: 4px;\n      }\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_gtfs_diff.scss",
    "content": "#gtfs-diff-steps {\n  margin: -3em auto 2em;\n  li.active {\n    font-weight: bold;\n  }\n}\n\n.actions {\n  margin-top: var(--space-m);\n  display: flex;\n  gap: var(--space-s);\n  justify-content: end;\n  flex-direction: row-reverse;\n\n  button.button {\n    margin: 0;\n  }\n}\n\n#gtfs-diff-input {\n  justify-content: left;\n  align-items: stretch;\n  #upload-form {\n    display: flex;\n    flex-direction: column;\n    justify-content: space-between;\n    margin: 0 60px 0 0;\n    max-width: unset;\n    width: 100%;\n    .drop-zone {\n      padding: 0;\n      display: flex;\n      flex-direction: column;\n      align-items: stretch;\n      opacity: 0.7;\n      &:hover {\n        opacity: unset;\n      }\n      label {\n        display: flex;\n        align-content: center;\n        justify-content: center;\n        padding-block: 75px;\n        font-size: 20px;\n        gap: 30px;\n\n        &:hover {\n          cursor: pointer;\n        }\n        i.fa-upload {\n          align-self: center;\n          font-size: 30px;\n        }\n        span {\n          max-width: 400px;\n\n        }\n      }\n      input[type=\"file\"] {\n        display: none;\n      }\n    }\n    button {\n      max-width: 300px;\n    }\n    #uploaded-files {\n      margin-top: 30px;\n      display: grid;\n      grid-template-columns: 1fr max-content 1fr;\n      gap: 20px;\n      align-items: center;\n\n      article.upload-entry.panel + * {\n        margin-top: 0;\n      }\n      article.upload-entry {\n        display: grid;\n        height: 100%;\n        min-height: 150px;\n        grid-template-columns: 1fr max-content;\n        grid-template-rows: repeat(3, max-content);\n        grid-template-areas:\n          \"title title\"\n          \"entry progress\";\n        row-gap: 10px;\n\n        h4 {\n          grid-area: title;\n          margin-bottom: 0;\n        }\n\n        .entry-name {\n          grid-area: entry;\n          text-wrap: nowrap;\n          display: inline-block;\n          overflow: hidden;\n          text-overflow: ellipsis;\n\n          i.fa {\n            margin-right: 0.5em;\n          }\n          .fa-square-check {\n            color: var(--green);\n          }\n          .fa-square-xmark {\n            color: var(--red);\n          }\n        }\n        .progress-bar {\n          grid-area: progress;\n          progress {\n            width: 100px;\n            margin-inline: 0.5em;\n            accent-color: var(--blue);\n          }\n        }\n        .upload-errors {\n          grid-area: errors;\n        }\n      }\n      article.upload-entry.upload-entry-errors {\n        grid-template-areas:\n          \"title title\"\n          \"entry progress\"\n          \"errors errors\";\n        border-color: var(--red);\n      }\n      article.upload-entry.upload-entry-inactive {\n        opacity: 0.5;\n        grid-template-areas:\n          \"title title\"\n          \"placeholder placeholder\";\n        .placeholder {\n          grid-area: placeholder;\n        }\n      }\n    }\n  }\n}\n\n#gtfs-diff-results {\n  min-height: 90vh;\n  .green {\n    color: green;\n  }\n  .red {\n    color: red;\n  }\n  .orange {\n    color: orange;\n  }\n  .summary {\n    display: flex;\n    justify-content: space-around;\n    ul {\n      padding-left: 12px;\n    }\n  }\n  .dashboard {\n    min-height: 50vh;\n    max-height: 75vh;\n    .main {\n      overflow: scroll;\n    }\n  }\n\n  .symbol {\n    margin-inline: 6px;\n  }\n\n  div.scrollable-table {\n    display: inline-block;\n    max-height: 20em;\n    overflow-y: auto;\n    width: 100%;\n\n    thead th {\n      position: sticky;\n      top: -1px;\n    }\n    tfoot td {\n      position: sticky;\n      bottom: -1px;\n    }\n  }\n\n  .color-picker {\n    display: grid;\n    grid-template-columns: min-content min-content;\n    gap: 6px;\n    align-items: center;\n  }\n}\n\n@media (max-width: 749px) {\n  #gtfs-diff-input #upload-form #uploaded-files {\n    grid-template-columns: 1fr;\n    justify-items: center;\n    article.upload-entry {\n      width: 100%;\n    }\n    i.fa-arrow-right-arrow-left {\n      transform: rotate(90deg);\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_guide.scss",
    "content": "#guide {\n  max-width: 1300px;\n  margin: calc(1vw + 1em) calc(8vw + 1em);\n  padding: 8em;\n\n  ul {\n    margin-left: 2em;\n    li {\n      list-style: inside;\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_icons.scss",
    "content": ".icon {\n  @extend .fas !optional;\n\n  margin-right: 0.5em;\n}\n\n.icon--badge {\n  @extend .fa-id-badge !optional;\n}\n\n.icon--cubes {\n  @extend .fa-cubes !optional;\n}\n\n.icon--download {\n  @extend .fa-download !optional;\n}\n\n.icon--hand-up {\n  @extend .fa-hand-point-up !optional;\n}\n\n.icon--link {\n  @extend .fa-external-link-alt !optional;\n}\n\n.icon--login {\n  @extend .fa-sign-in-alt !optional;\n}\n\n.icon--logout {\n  @extend .fa-sign-out-alt !optional;\n\n  margin: 0;\n}\n\n.icon--open {\n  @extend .fa-folder-open !optional;\n}\n\n.icon--reuse {\n  @extend .fa-mobile-alt !optional;\n}\n\n.icon--user-plus {\n  @extend .fa-user-plus !optional;\n}\n\n.icon--book {\n  @extend .fa-book !optional;\n}\n\n.icon--file {\n  @extend .fa-file !optional;\n}\n\n.icon--envelope {\n  @extend .fa-envelope !optional;\n}\n\n.icon--magnifier {\n  @extend .fa-search !optional;\n}\n\n.icon--times-circle {\n  @extend .fa-times-circle !optional;\n}\n\n.icon--chart-line {\n  @extend .fa-chart-line !optional;\n}\n\n.icon--right-arrow {\n  @extend .fa-long-arrow-alt-right !optional;\n}\n\n.icon--calendar-alt {\n  @extend .fa-calendar-alt !optional;\n}\n\n.icon--plus {\n  @extend .fa-plus !optional;\n}\n\n.icon--sync-alt {\n  @extend .fa-sync-alt !optional;\n}\n\n.icon--table {\n  @extend .fa-table !optional;\n}\n\n.icon--uptime {\n  vertical-align: middle;\n  width: 1.25em;\n  height: 1.25em;\n  margin-right: 0.4em;\n}\n\n.icon--validation {\n  margin-right: .5em;\n  font-size: .8em;\n}\n\n.icon---animated-heart {\n  cursor: pointer;\n  transition: color 500ms linear;\n  &.active {\n    color: red;\n  }\n}\n\n.fa-heart.producer {\n  color: var(--blue);\n}\n\n.icon---climate-resilience-bill {\n  width: 2.5em;\n  height: 2.5em;\n  margin-right: 1em;\n  vertical-align: middle;\n  &.xl {\n    width: 5em;\n    height: 5em;\n    margin-right: 3em;\n  }\n  &.small {\n    width: 1.5em;\n    height: 1.5em;\n    margin-right: .5em;\n  }\n}"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_landing_page_vls.scss",
    "content": "article.landing_page_vls {\n  $vls-blue: #4a90e2 !default;\n\n  .wrapper {\n    display: grid;\n    grid-template-columns:\n      1fr\n      min(100ch, 100%)\n      1fr;\n\n    &> * {\n      grid-column: 2;\n    }\n  }\n\n  h1, h2 {\n    text-align: center;\n    text-wrap: balance;\n    margin-block: 1.5rem;\n  }\n\n  h1 {\n    font-size: 24px;\n  }\n\n  h2 {\n    font-size: 22px;\n  }\n\n  p {\n    text-wrap: pretty;\n  }\n\n  ul {\n    list-style-type: none;\n    padding: 0;\n  }\n\n  li {\n    margin-bottom: 10px;\n    text-wrap: balance;\n  }\n\n  header, footer {\n    margin: 0;\n    padding: 2rem;\n\n    p {\n      text-align: center;\n    }\n  }\n\n  footer {\n    grid-column: 1 / -1;\n    color: white;\n    background-color: rgb(0 83 179);\n    display: flex;\n    flex-direction: column;\n    align-items: center;\n\n    a {\n      color: white;\n      &:hover {\n        background-color: unset;\n      }\n    }\n\n    p {\n      max-width: 40rem;\n      font-size: 18px;\n      line-height: 1.8rem;\n    }\n  }\n\n  abbr.inline-help {\n    cursor: help;\n    text-decoration: underline dotted;\n  }\n\n  a.cta {\n    color: #0a6bff;\n    background-color: white;\n    border-radius: 8px;\n    border: 0;\n    cursor: pointer;\n    display: inherit;\n    font-size: 18px;\n    line-height: 24px;\n    margin: 0;\n    min-height: 56px;\n    min-width: 120px;\n    padding: 20px 32px;\n    position: relative;\n    text-align: center;\n    user-select: none;\n    touch-action: manipulation;\n    vertical-align: baseline;\n    font-weight: 600;\n    text-decoration: none;\n  }\n\n  header a.cta {\n    margin-top: 1rem;\n    border: 2px solid #0a6bff;\n  }\n\n  a.cta:hover {\n    background-color: white;\n  }\n\n  @media (min-width: 768px) {\n    .cta {\n      padding: 16px 44px;\n      min-width: 150px;\n    }\n  }\n\n  footer .cta {\n    margin-block: 1rem;\n  }\n\n  .banner {\n    grid-column: 1 / -1;\n    background-color: #eff5f3;\n    border: 1px solid #dee6f0;\n    padding: 1rem;\n\n    & > * {\n     text-align: center;\n    }\n\n    &.blue {\n      background-color: $vls-blue;\n      border-color: $vls-blue;\n      color: white;\n    }\n  }\n\n  .ecosystem, .statistics {\n    background-color: white;\n    margin-block: 2rem;\n\n    ul {\n      padding-block: 1rem;\n      display: flex;\n      flex-direction: column;\n      justify-content: center;\n      align-items: center;\n      flex-wrap: wrap;\n      gap: 3rem;\n\n      li {\n        display: flex;\n        flex-direction: column;\n        align-items: center;\n        width: min-content;\n        gap: 1rem;\n\n        img {\n          display: block;\n          width: 140px;\n          object-fit: contain;\n        }\n        span {\n          font-weight: 600;\n          width: 11rem;\n          line-height: 1.5rem;\n          text-align: center;\n        }\n      }\n    }\n  }\n\n  .arguments {\n    background-color: #edeeee;\n\n    & > div {\n      padding: 4rem 2rem;\n    }\n  }\n\n  .argument.argument {\n    gap: 2rem 4rem;\n    grid-template-columns: 20rem 20rem;\n    display: flex;\n    flex-direction: column;\n    justify-content: center;\n    align-items: center;\n    width: min-content;\n    margin-block: 2rem;\n\n    picture {\n      grid-area: picture;\n      justify-self: center;\n\n      img {\n        max-width: 20rem;\n        max-height: 20rem;\n        border-radius: 0.5rem;\n      }\n    }\n\n    p.comment {\n      grid-area: comment;\n      color: #726f6f;\n      background-color: white;\n      padding: 1.5rem;\n      text-align: center;\n      text-wrap: balance;\n      box-shadow: rgb(0 0 0 / 0.4) 0 0 25px, rgb(255 255 255 / 0.2) 0 0 15px, rgb(255 255 255 / 0.4) 0 0 3px;\n    }\n\n    a {\n      text-decoration: none;\n      font-weight: 600;\n      color: #726f6f;\n      font-size: 18px;\n      &:hover {\n        background-color: unset;\n      }\n    }\n  }\n\n  @media (min-width: 870px) {\n    header, footer {\n      padding: 4rem;\n    }\n\n    .argument.argument {\n      display: grid;\n      width: unset;\n      margin-block: 0.5rem;\n\n      &.left {\n        grid-template-areas: \"picture comment\";\n\n        .comment {\n          padding-left: 2rem;\n        }\n      }\n\n      &.right {\n        grid-template-areas: \"comment picture\";\n\n        .comment {\n          padding-right: 2rem;\n        }\n      }\n    }\n\n    .ecosystem, .statistics {\n      ul {\n        gap: 4rem;\n        align-items: baseline;\n        flex-direction: row;\n      }\n    }\n  }\n\n  .center {\n    max-width: max-content;\n    margin: 0 auto;\n    display: flex;\n    flex-direction: column;\n    align-items: center;\n  }\n\n  .statistics {\n    .figure {\n      text-wrap: nowrap;\n      font-size: 32px;\n      color: $vls-blue;\n    }\n    .description {\n      display: block;\n      color: #9b9b9b;\n      font-size: 22px;\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_legal.scss",
    "content": "#legal {\n  max-width: 1300px;\n  margin: calc(1vw + 1em) calc(8vw + 1em);\n  padding: 8em;\n\n  ul {\n    margin-left: 2em;\n    li {\n      list-style: inside;\n    }\n  }\n\n  p + h2 {\n    margin-top: 2em;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_login.scss",
    "content": "#login {\n  h1 {\n    text-align: center;\n  }\n\n  ul {\n    padding: 0;\n  }\n\n  li {\n    list-style-type: none;\n    line-height: 1.5em;\n  }\n\n  .list__item {\n    display: flex;\n  }\n\n  .list__item + .list__item {\n    margin-top: 1em;\n  }\n\n  .list__item--content {\n    margin-left: 1em;\n  }\n}"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_logo.scss",
    "content": ".logo {\n  @include media-tablet-up {\n    height: modular-scale(3);\n  }\n\n  float: left;\n  height: modular-scale(1);\n\n  img {\n    height: 100%;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_mail.scss",
    "content": "a.mail__button {\n  background-color: $blue;\n  border-radius: 50px;\n  bottom: 1em;\n  color: $white;\n  font-size: 1.5em;\n  position: fixed;\n  right: 1em;\n  text-align: center;\n  z-index: 9;\n  padding: 1em;\n  width: 50px;\n  height: 50px;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  cursor: pointer;\n  font-family: 'Source Sans Pro';\n  text-decoration: none;\n}\n\na.mail__button:hover {\n  width: auto;\n  background-color: $blue;\n}\n\n.mail__button span {\n  display: none;\n}\n\n.mail__button:hover span {\n  display: inline;\n  font-size: 0.875em;\n}\n\n.mail__button:hover i {\n  display: none;\n}\n\n.footer__contact {\n  background-color: $background-grey;\n  border: 1px solid $border-active;\n  bottom: 1em;\n  padding: 2em;\n  position: fixed;\n  right: 1em;\n  z-index: 10000;\n  height: 100%;\n  overflow-y: auto;\n\n  h3 {\n    color: $blue;\n  }\n\n  p {\n    color: $dark-text;\n  }\n\n  textarea {\n    height: 20em;\n  }\n\n  form {\n    width: 100%;\n    .form-special-field {\n      // hide field used as honey-pot\n      display: none;\n    }\n  }\n}\n\n.footer__contact--close {\n  float: right;\n  font-size: 1.3em;\n\n  &:hover {\n    color: $dark-blue;\n  }\n}\n\n.footer__contact .button {\n  float: right;\n}\n\n@include media-desktop-up {\n  .footer__contact {\n    width: 30em;\n    bottom: 1em;\n  }\n\n  .footer__alwayson {\n    bottom: 2.5em;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_mailing-list.scss",
    "content": ".mailing-list__social-container {\n  margin: 1em 0;\n\n  img {\n    height: 2em;\n    min-width: 2em;\n    vertical-align: middle;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_map-js.scss",
    "content": ".geojson-map {\n  height: 600px;\n  max-height: 80vh;\n}\n\n$light-green-map: #bce954 !default;\n\n.map-bg-green {\n  background-color: green;\n}\n\n.map-color-green {\n  color: green;\n}\n\n.map-bg-light-green {\n  background-color: $light-green-map;\n}\n\n.map-bg-grey {\n  background-color: grey;\n}\n\n.map-bg-stripes-green-light-green {\n  background-image: repeating-linear-gradient(\n    -45deg,\n    green,\n    green 3px,\n    $light-green-map 3px,\n    $light-green-map 6px\n  );\n}\n\n.map-bg-orange {\n  background-color: orange;\n}\n\n.map-color-orange {\n  color: orange;\n}\n\n.map-bg-red {\n  background-color: red;\n}\n\n.map-color-red {\n  color: red;\n}\n\n.map-bg-blue {\n  background-color: blue;\n}\n\n.map-color-blue {\n  color: blue;\n}\n\n.map-bg-stripes-blue-light-green {\n  background-image: repeating-linear-gradient(\n    -45deg,\n    blue,\n    blue 3px,\n    $light-green-map 3px,\n    $light-green-map 6px\n  );\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_message.scss",
    "content": ".message--success {\n  background: $background-message-success;\n  border: 1px solid $border-message-success;\n}\n\n.message--warning {\n  background: $background-message-warning;\n  border: 1px solid $border-message-warning;\n}\n\n.message--error {\n  background: $background-message-error;\n  border: 1px solid $border-message-error;\n}\n\n.message--info {\n  background: $background-message-info;\n  border: 1px solid $border-message-info;\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_notification.scss",
    "content": ".notification > p {\n  padding: 0;\n  margin: 0;\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_pagination.scss",
    "content": "ul.pagination {\n  list-style-type: none;\n  margin: 0;\n  padding: 0;\n  overflow: hidden;\n  display: flex;\n  justify-content: end;\n\n  li {\n    float: left;\n\n    a {\n      font-weight: 700;\n      display: inline-block;\n      padding: 0.2em 0.5em;\n      margin: 0.2em;\n      color: $blue;\n      background-color: $white;\n      border-radius: 3px;\n      border: 0;\n      position: relative;\n      top: 0;\n      overflow: hidden;\n      text-decoration: none;\n\n      &:hover {\n        background-color: $lighter-blue;\n        color: $blue;\n      }\n    }\n\n    &.active a {\n      color: $white;\n      background-color: $blue;\n    }\n  }\n}"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_resource-details.scss",
    "content": "#resource-geojson {\n  .leaflet-popup-content {\n    overflow: auto;\n  }\n}\n\n.full-width {\n  width: 100%;\n}\n\n.networks-list div {\n  padding-left: 12px;\n}\n\n.networks-start-end {\n  display: grid;\n  grid-template-columns: max-content repeat(4, max-content);\n  column-gap: 10px;\n  row-gap: 3px;\n  .outdated {\n    color: $red;\n  }\n  .valid-not-for-long {\n    color: $orange;\n  }\n}\n\n.table.small-padding {\n  td,\n  th {\n    padding: 0.5em;\n  }\n}\n\n.statistic {\n  strong {\n    margin-inline: 0.25em;\n  }\n\n  code {\n    font-size: 0.75rem;\n    padding: 0;\n    margin-inline: 0.25em;\n  }\n\n  .dropdown {\n    display: inline-flex;\n    align-items: center;\n    flex-direction: row;\n\n    .fa-circle-question {\n      transform: translateY(-0.25em);\n      color: var(--grey);\n      font-size: 0.75em;\n    }\n\n    &:hover .fa-circle-question {\n      color: var(--dark-grey);\n    }\n\n    .dropdown-content {\n      cursor: text;\n      padding: 0.25em 0.5em;\n      border-radius: 4px;\n      transition: unset;\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_search.scss",
    "content": ".search-title {\n  display: flex;\n  justify-content: space-between;\n  align-items: center;\n  margin-bottom: 24px;\n  h2 {\n    margin: 0;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_shortlist.scss",
    "content": ".shortlist {\n  display: flex;\n}\n\n.shortlist .side-pane {\n  padding: 0;\n  margin-right: 2em;\n  flex: 0 0 15em;\n}\n\n.shortlist .main-pane {\n  padding: 0;\n}\n\n.order-by {\n  padding-bottom: 24px;\n  display: flex;\n  justify-content: flex-end;\n  .order-by__title {\n    padding-right: 6px;\n    color: var(--darker-grey);\n  }\n}\n\n.order-by-option {\n  padding-left: 12px;\n  a {\n    text-decoration: none;\n    color: var(--darker-grey);\n    &:hover {\n      text-decoration: underline;\n    }\n  }\n}\n\n.dataset__panel {\n  padding: 0;\n  display: flex;\n  flex-direction: column;\n  font-size: 14px;\n\n  .panel__content {\n    display: flex;\n    flex-direction: row;\n    justify-content: space-between;\n\n    .dataset__infos {\n      padding: 12px 6px 0 12px;\n    }\n  }\n\n  .dataset__image {\n    height: 100%;\n    overflow: hidden;\n    display: flex;\n    justify-content: center;\n    flex: 0 0 5.5em;\n    border-right: 1px solid #eee;\n    position: relative;\n    align-items: center;\n    text-align: center;\n    padding: 6px;\n    line-height: 1em;\n  }\n\n  .dataset__image img {\n    max-width: 100%;\n  }\n\n  .side-pane__submenu a {\n    padding: 0;\n  }\n\n  .dataset__title a {\n    color: #1c1c1c;\n    text-decoration: none;\n  }\n\n  .dataset__title a:hover {\n    background: 0;\n  }\n\n  .dataset__title {\n    margin: 0;\n    font-size: 1.1em;\n    line-height: 1.25em;\n  }\n\n  .dataset__subtitle {\n    margin: 0;\n    font-size: 1.1em;\n    line-height: 1.25em;\n    text-align: center;\n  }\n\n  .dataset__description {\n    display: flex;\n    justify-content: flex-start;\n    flex: 1 1 100px;\n  }\n\n  .dataset__type {\n    display: flex;\n    flex: 0 0 5em;\n    align-items: end;\n    padding: .5em 1em;\n    flex-direction: column;\n\n    i.fa {\n      margin-bottom: .5em;\n      &.producer {\n        color: var(--blue);\n      }\n      &.following {\n        color: red;\n      }\n    }\n\n    img {\n      width: 100%;\n      max-height: 100%;\n    }\n  }\n\n  .panel__extra {\n    display: flex;\n    flex-direction: row;\n    padding: 0.5em;\n    border-top: 1px solid #eee;\n  }\n\n  .dataset__info {\n    display: flex;\n    justify-content: space-between;\n    width: 100%;\n  }\n\n  .shortlist__link {\n    flex-shrink: 0;\n  }\n\n  .shortlist__notices {\n    display: flex;\n    flex-wrap: wrap;\n    justify-content: space-between;\n    width: 100%;\n  }\n\n  .shortlist__notices,\n  .shortlist__notice {\n    align-items: center;\n    display: flex;\n    flex-direction: row;\n  }\n\n  .shortlist__notice {\n    margin: 0;\n    margin-right: 1em;\n    flex-wrap: 0;\n  }\n\n  .dataset__icon {\n    height: 1em;\n  }\n\n  .shortlist__label {\n    margin-right: 0.5em;\n  }\n}\n\n.dataset__panel + .dataset__panel {\n  margin-top: 1em;\n}\n\n* + .side-pane__title {\n  margin-top: 3em;\n}\n\n.activefilter {\n  font-weight: 700;\n}\n\n.side-pane__dropdown {\n  margin-bottom: 2em;\n\n  h4 {\n    margin-bottom: 0.5em;\n    font-family: 'Source Sans Pro';\n    font-size: 1em;\n  }\n}\n\n@include tablet {\n  .shortlist {\n    flex-direction: column;\n  }\n\n  .shortlist .side-pane {\n    order: 2;\n    margin-right: 0;\n    margin-top: 2em;\n  }\n\n  .shortlist .main-pane {\n    order: 1;\n  }\n}\n\n@include mobile {\n  .dataset__panel .dataset__title h3 {\n    margin: 0;\n    font-size: 1em;\n  }\n\n  .dataset__info {\n    flex-direction: column;\n  }\n\n  .pagination {\n    justify-content: center;\n  }\n}\n\n.ml-1em {\n  margin-left: 1em;\n}\n\n.mb-3 {\n  padding-bottom: 3px !important;\n}\n\n.dataset-udpate-date {\n  flex-basis: 300px;\n  flex-shrink: 1;\n}\n\n.dataset-format {\n  flex-grow: 1;\n}\n\n.dataset-type-text {\n  margin-left: 1em !important;\n}\n\n@media (max-width: 1400px) {\n  .dataset-udpate-date {\n    flex-basis: 250px;\n  }\n}\n\n@media (max-width: 1200px) {\n  .dataset-format {\n    order: 3;\n    width: 100%;\n    margin-left: 1em !important;\n  }\n}\n\n.dataset-localization {\n  padding: 0 !important;\n\n  .icon {\n    margin-right: .2em;\n  }\n}\n\n@media (min-width: 1200px) {\n  .dataset-localization {\n    margin-top: 6px;\n  }\n}\n\n.dataset-backoffice-link {\n  display: none;\n}\n\n.dataset__panel:hover {\n  .dataset-backoffice-link {\n    display: inline;\n    color: var(--grey);\n    font-size: 12px;\n    font-weight: 400;\n    padding-left: 6px;\n    vertical-align: top;\n    a {\n      color: var(--grey);\n    }\n  }\n}\n\n.dataset-page-title {\n  padding-top: 4em;\n  padding-bottom: 12px;\n  text-align: center;\n  h1 {\n    margin: 0;\n  }\n}\n\n.dataset-page-top {\n  padding-top: 1em;\n}\n\n#datasets-results {\n  padding-top: 3em;\n  padding-bottom: 3em;\n}\n\n.api-link {\n  text-align: center;\n  padding-top: 48px;\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_stats.scss",
    "content": ".deployment .hero__container {\n  min-height: 15em;\n  width: 80%;\n  margin: auto;\n}\n\n.deployment h2 {\n  margin-top: 3em;\n}\n\n.map {\n  min-height: 40em;\n  min-width: 35%;\n  border-right: 2px solid var(--theme-background-grey);\n\n  .info {\n    padding: 6px 8px;\n    font: 14px/16px Arial, Helvetica, sans-serif;\n    background: rgb(255 255 255 / 0.8);\n    box-shadow: 0 0 15px rgb(0 0 0 / 0.2);\n    border-radius: 5px;\n  }\n  .legend {\n    line-height: 18px;\n    color: #555;\n    h4 {\n      margin: 0.2em;\n    }\n    i {\n      width: 18px;\n      height: 18px;\n      float: left;\n      margin-right: 8px;\n      opacity: 0.7;\n    }\n  }\n}\n\n.drom_maps {\n  display: flex;\n  flex-flow: column wrap;\n  min-height: 30em;\n\n  .drom_map {\n    height: 50%;\n    width: 50%;\n    border: 2px solid var(--theme-background-grey);\n  }\n}\n\n.stats {\n  .domain + .domain {\n    margin-top: 5em;\n  }\n\n  .domain-stats {\n    display: flex;\n    width: 100%;\n    flex-wrap: wrap;\n  }\n\n  @media screen and (max-width: 800px) {\n    .domain-stats > .panel {\n      min-width: 100%;\n      padding: 1em 0;\n    }\n  }\n\n  .domain-stats > * {\n    flex: 1 1 25%;\n  }\n\n  .panel {\n    border: 0;\n    min-width: 40%;\n    width: 100%;\n    display: flex;\n    flex-direction: column;\n    align-items: center;\n    flex-grow: 0;\n    background-color: transparent;\n    padding-top: 0;\n    padding-bottom: 0;\n    justify-content: space-between;\n  }\n\n  .description {\n    padding: 2em;\n    background-color: $white;\n    flex-grow: 1;\n    position: relative;\n\n    p {\n      margin: 0;\n    }\n    .stat-link {\n      display: none;\n      position: absolute;\n      top: 0;\n      right: 3px;\n      font-size: 14px;\n      a {\n        color: var(--grey);\n        background-color: white;\n      }\n    }\n    &:hover {\n      .stat-link {\n        display: inline;\n      }\n    }\n  }\n\n  .tile {\n    flex-direction: row;\n    justify-content: start;\n    align-items: center;\n    flex-grow: 1;\n    flex-basis: content;\n\n    &:hover {\n      transform: none;\n    }\n\n    h3 {\n      font-size: 2.5em;\n      margin: 0;\n    }\n\n    div {\n      margin-left: 0.75em;\n    }\n  }\n\n  .tile-numbers {\n    display: flex;\n    flex-direction: row;\n    margin-top: 1em;\n    background-color: $white;\n    flex-wrap: wrap;\n    width: 100%;\n\n    .tile {\n      width: 50%;\n    }\n  }\n\n  .free-floating {\n    .tile-numbers {\n      width: 100%;\n    }\n\n    .tile {\n      justify-content: center;\n    }\n  }\n\n  .general {\n    @media screen and (max-width: 650px) {\n      flex-flow: row wrap;\n    }\n  }\n\n  .general .tile {\n    justify-content: center;\n    margin-top: 1em;\n    margin-left: 1em;\n    @media screen and (max-width: 650px) {\n      flex: 1 100%;\n    }\n  }\n\n  .quality .panel,\n  .theorical .panel {\n    .tile {\n      padding: 1em 2em;\n    }\n\n    .tile + .tile {\n      margin-top: 1em;\n    }\n    .description + .tile {\n      margin-top: 1em;\n    }\n  }\n\n  .format-viz {\n    display: flex;\n    flex-direction: row;\n    width: 100%;\n    padding: 2em;\n    padding-top: 0;\n    margin: 0 auto;\n\n    .item {\n      height: 1.5em;\n      background-color: $blue;\n      flex-grow: 1;\n\n      &.netex {\n        background-color: $grey;\n      }\n    }\n  }\n\n  .tile.bike-list {\n    flex-grow: 0;\n    flex-shrink: 1;\n    display: grid;\n    grid-template-columns: repeat(auto-fit, minmax(2em, 1fr));\n    grid-template-rows: auto;\n    gap: 0;\n  }\n\n  .bike-list .tile__icon {\n    margin: auto;\n    width: 2em;\n    height: 2em;\n  }\n}\n\n.staticPTdata .leaflet-control-layers-selector {\n  top: -2px;\n}\n\n.staticPTdata input[type='radio']::before {\n  top: 2px;\n  left: 2px;\n  width: 9px;\n  height: 9px;\n}\n\n.proxy-external-requests {\n  font-weight: bold;\n  font-size: 2em;\n  text-align: center;\n  margin: 1em 0 .5em;\n}\n.proxy-legend {\n  text-align: center;\n  color: $dark-grey;\n  margin-bottom: 1em;\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_tooltip.scss",
    "content": "/* from https://www.w3schools.com/howto/howto_css_tooltip.asp */\n/* Tooltip container */\n\n$tooltip-width: 150px !default;\n\n.tooltip {\n  position: relative;\n  display: inline-block;\n}\n\n/* Tooltip text */\n.tooltip .tooltiptext {\n  visibility: hidden;\n  width: $tooltip-width;\n  background-color: var(--theme-background-white);\n  color: var(--theme-dark-text);\n  text-align: center;\n  padding: 5px;\n  border-radius: 6px;\n  border: 1px solid var(--theme-border);\n\n  /* Position the tooltip text */\n  position: absolute;\n  z-index: 1;\n  bottom: 125%;\n  left: 50%;\n  margin-left: -(calc($tooltip-width / 2));\n\n  /* Fade in tooltip */\n  opacity: 0;\n  transition: opacity 0.3s;\n\n  &.left {\n    top: -30%;\n    right: 105%;\n    bottom: 0;\n    left: auto;\n    margin-left: 0;\n    height: fit-content;\n  }\n}\n\n/* Tooltip arrow */\n.tooltip .tooltiptext::after {\n  content: '';\n  position: absolute;\n  top: 100%;\n  left: 50%;\n  margin-left: -5px;\n  border-width: 5px;\n  border-style: solid;\n  border-color: var(--theme-border) transparent transparent transparent;\n}\n\n.tooltip .tooltiptext.left::after {\n  top: 50%;\n  left: 100%;\n  margin-top: -5px;\n  margin-left: 0;\n  border-color: transparent transparent transparent var(--theme-border);\n}\n\n/* Show the tooltip text when you mouse over the tooltip container */\n.tooltip:hover .tooltiptext {\n  visibility: visible;\n  opacity: 1;\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/components/_validation.scss",
    "content": "nav.validation {\n  padding: 10px;\n  h4 {\n    margin-bottom: 0;\n  }\n  ul {\n    margin: 0;\n  }\n  a {\n    padding: 0;\n    width: 100%;\n    color: var(--theme-label-text);\n    text-decoration: none;\n  }\n  a.active {\n    font-weight: bold;\n    color: var(--theme-dark-text);\n  }\n}\n\n.issues-list {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: flex-start;\n}\n\n.validation-issue {\n  padding: 12px 48px;\n  border-radius: 10px;\n  @media (max-width: $breakpoint-tablet) {\n    padding: 10px;\n  }\n}\n\n.validation-title {\n  padding-top: 48px;\n}\n\n.validation-content {\n  background-color: var(--theme-background-grey);\n  padding-top: 24px;\n  padding-bottom: 48px;\n  margin-top: 48px;\n  .validation-metadata {\n    display: inline-block;\n  }\n  .validation-content-details {\n    .panel {\n      overflow-x: auto;\n    }\n    table {\n      table-layout: fixed;\n      width: 100%;\n    }\n    td {\n      overflow-wrap: break-word;\n    }\n  }\n}\n\n.mt-0 {\n  margin-top: 0;\n}\n\n.mb-0 {\n  margin-bottom: 0;\n}\n\n.mt-48 {\n  margin-top: 48px !important;\n}\n\n.validation-section {\n  background-color: white;\n  box-shadow: 0 4px 8px 0 rgb(0 0 0 / 0.2);\n  padding: 60px 40px;\n  border-radius: 10px;\n  @media (max-width: $breakpoint-tablet) {\n    padding: 10px;\n  }\n}\n\n.grey-background {\n  width: 100vw;\n  background-color: var(--theme-background-grey);\n  padding-top: 48px;\n  padding-bottom: 48px;\n}\n\n.scrolable-table {\n  overflow: auto;\n}\n\n.validation-details {\n  div {\n    margin-top: 12px;\n  }\n\n  .file-table {\n    display: flex;\n  }\n\n  .raw-values {\n    background-color: var(--theme-background-grey);\n  }\n}\n\n.error-details {\n  margin-top: 6px;\n  display: block;\n  background-color: var(--theme-background-grey);\n  padding: 4px 0 4px 25px;\n}\n\ndetails .button {\n  display: block;\n}\n\ndetails > code {\n  width: 100%;\n\n  &.inline {\n    display: inline;\n  }\n}\n\n.download-button {\n  text-decoration: none;\n  &:hover {\n    background-color: unset;\n  }\n}\n\n.netex {\n  dialog.inline-help {\n    max-width: 90%;\n    width: 80ch;\n    max-height: 90%;\n    overflow: scrollable;\n    overscroll-behavior: contain;\n\n    h5 { margin-block: 0 1em; }\n    h6 { margin-block: 2em 1em; }\n    .header_with_action_bar + h6 { margin-top: 0; }\n    .fa-close { padding: unset }\n    code { font-size: 0.75em; }\n  }\n\n  table.netex_generic_issue, table.netex_xsd_schema {\n    tr.message td {\n      vertical-align: top;\n    }\n  }\n\n  table.netex_xsd_schema {\n    tr, td {\n      &:nth-child(1) {\n        text-align: right;\n      }\n    }\n  }\n\n  table.netex_generic_issue {\n    th, td {\n      &:nth-child(1) {\n        width: 60%;\n      }\n      &:nth-child(3) {\n        width: 10%;\n      }\n    }\n\n    tr.debug {\n      &:hover {\n        background: revert;\n      }\n\n      td {\n        border-top: none;\n        padding-top: 0;\n\n        summary {\n          cursor: pointer;\n        }\n\n        pre {\n          margin-block: 0;\n        }\n\n        code {\n          width: 100%;\n        }\n      }\n    }\n  }\n\n  #download-popup {\n    max-width: 60ch;\n\n    .download-grid {\n      display: grid;\n      grid-template-columns: 1fr max-content;\n      gap: var(--space-s) var(--space-l);\n\n      button {\n        display: flex;\n        width: 100%;\n      }\n    }\n  }\n\n  #issues {\n    display: grid;\n    grid-template-rows: max-content max-content 1fr max-content;\n    container-type: inline-size;\n    container-name: issues-list;\n\n    &:has(a.colorful.invalid) {\n      min-height: 80vh;\n    }\n\n    .issues-footer {\n      border-top: 1px solid var(--light-grey);\n      padding-top: var(--space-s);\n      margin-top: var(--space-s);\n\n      p {\n        margin-block: unset;\n      }\n    }\n\n    table {\n      border: unset;\n      td, th {\n        padding: var(--space-xs) var(--space-s);\n        @container issues-list (width < 800px) {\n          padding: calc(var(--space-xs) / 2) var(--space-xs);\n        }\n      }\n    }\n  }\n\n  .pagination {\n    margin-top: var(--space-s);\n  }\n\n  #issues-list {\n    margin-top: var(--space-m);\n  }\n\n  #categories {\n    margin-bottom: var(--space-s);\n    display: inline-flex;\n    flex-wrap: wrap;\n    gap: var(--space-xs);\n  }\n\n  .category {\n    font-weight: 600;\n  }\n\n  .selected-category {\n    .fa {\n      padding-right: var(--space-xs);\n    }\n\n    .fa-check {\n      color: var(--green);\n    }\n\n    .fa-circle-info {\n      color: var(--dark-blue);\n    }\n  }\n\n  .text-quote {\n    --taint: var(--grey);\n\n    padding: var(--space-s);\n    background-color: color-mix(in oklab, var(--taint), white);\n    color: color-mix(in oklab, var(--taint), black);\n    border-left-color: var(--taint);\n\n    .fa {\n      color: color-mix(in oklab, var(--taint), black 30%);\n    }\n\n    a {\n      color: color-mix(in oklab, var(--taint), black 30%);\n    }\n\n    &.information {\n      --taint: var(--theme-info-border);\n    }\n\n    &.warning {\n      --taint: var(--orange);\n    }\n  }\n\n  button[popovertarget=\"french-profile-rules\"] {\n    margin-left: 0.5em;\n  }\n}\n\nblockquote {\n  margin: 0;\n  padding-left: .5em;\n  border-left: 2px solid var(--grey);\n}\n\n.loader_container {\n  display: flex;\n  justify-content: center;\n}\n\n.loader {\n  margin: 2em 0;\n  height: 15px;\n  aspect-ratio: 5;\n  background: radial-gradient(closest-side at 37.5% 50%,#000 94%,#0000) 0 / calc(80% / 3) 100%;\n  animation: loader-animation .75s infinite;\n}\n@keyframes loader-animation {\n  100% {background-position: 36.36%}\n}\n\ndiv.header_with_action_bar {\n  display: grid;\n  grid-template-columns: 1fr max-content;\n  align-items: baseline;\n  gap: var(--space-m);\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/datasets.scss",
    "content": ".dataset-container {\n  .form__group {\n    margin-bottom: 2em;\n  }\n}\n\n.transparent {\n  background: transparent;\n}\n\n.side-pane img {\n  max-width: 100%;\n  &.icon---climate-resilience-bill {\n    max-width: none;\n  }\n}\n\n.small {\n  color: #aaa;\n  font-size: 12px;\n}\n\n#dataset-visualisation .leaflet-popup-content {\n  max-height: 200px;\n}\n\n.container_min_height {\n  min-height: 50vh;\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/espace_producteur.scss",
    "content": ".tramway {\n  text-align: right;\n  width: 50vw;\n  position: relative;\n  height: 0;\n  margin: 0 0 0 auto;\n  padding-right: 48px;\n  img {\n    position: absolute;\n    bottom: 0;\n    right: 20px;\n    max-height: 36px;\n    max-width: 100%;\n  }\n}\n\n.producer-actions {\n  background-color: var(--theme-background-grey);\n  padding-top: 24px;\n  padding-bottom: 48px;\n}\n\n.producer-space {\n  background-color: var(--theme-background-grey);\n  min-height: 80vh;\n\n  a.button.primary, button.button.primary {\n    background-color: var(--primary-color-producer);\n  }\n  a.button-outline.primary, button.button-outline.primary {\n    color: var(--primary-color-producer);\n    border-color: var(--primary-color-producer);\n    &.small-padding {\n      padding: var(--space-xs);\n    }\n  }\n  a.button-outline.reuser, button.button-outline.reuser  {\n    color: var(--primary-color-reuser);\n    border-color: var(--primary-color-reuser);\n  }\n}\n\n.panel .left-flex-image {\n  display: flex;\n  img {\n    padding-right: 12px;\n  }\n}\n\n.no-underline a {\n  text-decoration: none;\n}\n\n// Proxy statistics styles\n.proxy-statistics, .download-statistics {\n  &__header {\n    display: flex;\n    justify-content: space-between;\n    align-items: center;\n    margin-bottom: 1.5rem;\n\n    h2 {\n      margin: 0;\n    }\n  }\n\n  &__dataset-title {\n    margin-top: 2rem;\n    margin-bottom: 1rem;\n  }\n}\n\n.proxy-stats-panel {\n  margin-bottom: 1.5rem;\n\n  &__resource-header {\n    display: flex;\n    justify-content: space-between;\n    align-items: center;\n    margin-bottom: 1rem;\n    padding-bottom: 1rem;\n    border-bottom: 1px solid #e5e5e5;\n\n    &-name {\n      margin-bottom: 0.5rem;\n    }\n  }\n\n  &__metrics-grid {\n    display: grid;\n    grid-template-columns: 1fr 1fr;\n    gap: 1rem;\n    margin-bottom: 1.5rem;\n  }\n\n  &__metric-card {\n    padding: 1rem;\n    background-color: #f5f5f5;\n    border-radius: 4px;\n\n    &-label {\n      font-size: 0.875rem;\n      color: #666;\n      margin-bottom: 0.5rem;\n    }\n\n    &-value {\n      font-size: 1.5rem;\n      font-weight: bold;\n      color: #003049;\n    }\n\n    &-period {\n      font-size: 0.75rem;\n      color: #999;\n    }\n  }\n\n  &__details {\n    margin-top: 1rem;\n\n    summary {\n      cursor: pointer;\n      font-weight: 500;\n      padding: 0.5rem 0;\n    }\n\n    table {\n      margin-top: 1rem;\n    }\n  }\n}"
  },
  {
    "path": "apps/transport/client/stylesheets/globals/_externals.scss",
    "content": "// External styles and libraries.\n\n@import '~leaflet/dist/leaflet';\n@import '~@fortawesome/fontawesome-free/scss/fontawesome';\n@import '~@fortawesome/fontawesome-free/scss/solid';\n@import '~template.data.gouv.fr/dist/main.css';"
  },
  {
    "path": "apps/transport/client/stylesheets/globals/_mixins.scss",
    "content": "// Useful mixins to DRY.\n\n@mixin mobile {\n  @media (max-width: $breakpoint-tablet) {\n    @content;\n  }\n}\n\n@mixin tablet {\n  @media (max-width: $breakpoint-desktop) {\n    @content;\n  }\n}\n\n@mixin media-tablet-up {\n  @media (min-width: $breakpoint-tablet) {\n    @content;\n  }\n}\n\n@mixin media-desktop-up {\n  @media (min-width: $breakpoint-desktop) {\n    @content;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/globals/_variables.scss",
    "content": "// Variables to setup globally some site standard values.\n\n// # Colours\n\n$lighter-blue:                hsl(201 88% 84%) !default;\n$light-blue:                  hsl(212 100% 45%) !default;\n$blue:                        hsl(212 100% 35%) !default;\n$dark-blue:                   hsl(212 100% 25%) !default;\n\n$white:                       hsl(0 0% 100%) !default;\n$lighter-grey:                hsl(210 25% 94%) !default;\n$light-grey:                  hsl(213 26% 83%) !default;\n$grey:                        hsl(214 21% 73%) !default;\n$dark-grey:                   hsl(213 17% 58%) !default;\n$darker-grey:                 hsl(214 20% 41%) !default;\n$almost-black:                hsl(204 25% 20%) !default;\n$black:                       hsl(0 0% 11%) !default;\n$black-alpha-2:               hsl(0 0% 0% / .3) !default;\n$black-alpha-3:               hsl(0 0% 0% / .3) !default;\n\n$light-green:                 hsl(149 57% 91%) !default;\n$green:                       hsl(148 97% 38%) !default;\n\n$light-orange:                hsl(27 100% 95%) !default;\n$orange:                      hsl(27 100% 64%) !default;\n\n$light-red:                   hsl(5 70% 79%) !default;\n$red:                         hsl(5 70% 49%) !default;\n\n// # Theme colours\n\n$primary:                     $blue !default;\n$primary-light:               $light-blue !default;\n$primary-dark:                $dark-blue !default;\n\n$secondary:                   $blue !default;\n$secondary-dark:              $dark-blue !default;\n\n$border:                      $grey !default;\n$border-lighter:              $light-grey !default;\n$border-active:               $light-blue !default;\n$border-radius:               3px !default;\n\n$background-white:            $white !default;\n$background-grey:             $lighter-grey !default;\n$background-color:            $blue !default;\n$background-dark:             $black !default;\n\n$box-shadow:                  $light-grey !default;\n$dark-text:                   $almost-black !default;\n$label-text:                  $darker-grey !default;\n\n// ## Dropdown\n\n$box-shadow-dropdown:         $black-alpha-2 !default;\n\n// ## Buttons\n$box-shadow-button:           $black-alpha-3 !default;\n$box-shadow-button-hover:     $secondary-dark !default;\n\n// ## Messages\n\n$border-message-success:      $green !default;\n$border-message-warning:      $orange !default;\n$border-message-error:        $red !default;\n$border-message-info:         $light-blue !default;\n\n$background-message-success:  $light-green !default;\n$background-message-warning:  $light-orange !default;\n$background-message-error:    $light-red !default;\n$background-message-info:     $lighter-blue !default;\n\n// # Typography\n\n$font-size:                   calc(.75em + .25vw) !default;\n$font-family-primary:         'Source Sans Pro', Arial, sans-serif !default;\n$font-family-secondary:       'Evolventa', 'Trebuchet MS', sans-serif !default;\n\n// # Content breakpoints\n\n$breakpoint-tablet:           40em !default;\n$breakpoint-desktop:          53.75em !default;\n\n// # Other global variables\n\n$fa-font-path:                '~@fortawesome/fontawesome-free/webfonts' !default;\n\n$space-l: 2em !default;\n$space-xs: 0.5em !default;\n\n:root {\n  --primary-color-producer: var(--theme-primary);\n  --primary-color-reuser: #287233;\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/home.scss",
    "content": "html {\n  scroll-behavior: smooth;\n  scroll-padding-top: 25px;\n}\n\n.hero.home-hero {\n  background: #fff url('/images/transport.svg') center bottom no-repeat;\n  background-size: cover;\n}\n\n.home-hero .hero__container {\n  height: 44em;\n  align-items: start;\n  @media (max-width: 1250px) {\n    height: 60em;\n  }\n}\n\n.hero p,\n.hero h1 {\n  font-style: normal;\n  color: $dark-text;\n}\n\n.hero form {\n  margin: 0;\n}\n\n@media (max-width: $breakpoint-tablet) {\n  #close-menu {\n    margin: 20px 40px 0 0;\n  }\n  .dropdown-content {\n    top: 60px;\n  }\n}\n\n.dropdown {\n  cursor: default;\n}\n\nbutton.dropdown {\n  font-family: $font-family-primary;\n  font-size: 16px;\n  line-height: 1.5em;\n  background: unset;\n  border: none;\n  display: inline-block;\n  min-height: 24px;\n}\n\n.nav__item > :focus,\n/* Keep the menu highlighted when focusing any menu entry: */\n.dropdown:has(a:focus),\n.dropdown-content a:focus {\n  background: var(--lighter-grey);\n}\n\n.dropdown-content {\n  min-width: 200px;\n  max-width: max-content;\n  z-index: 999;\n  text-align: left;\n  left: 0;\n  transition: opacity 500ms, display 0ms allow-discrete;\n}\n\n/* Keeps the menu visible when menu entry is focused (via keyboard) */\n.dropdown-content:has(a:focus) {\n  display: block;\n}\n\n/* Make sure focused items trigger menu display, like on hover */\n.dropdown:focus .dropdown-content {\n  display: block;\n  opacity: 1;\n  /* Transition is weird when skipping via the tab key, let's disable it. */\n  transition: none;\n}\n\n/* Disable behaviour from the template */\n#menu .dropdown:hover .dropdown-content {\n  display: none;\n  opacity: 0;\n}\n\n/* The hover is only supported when the menu is not focused. */\n#menu:not(:has(:focus)) .dropdown:hover .dropdown-content {\n  display: block;\n  opacity: 1;\n}\n\n@starting-style {\n  .dropdown:hover .dropdown-content {\n    opacity: 0;\n  }\n}\n\n@supports not (top: anchor(bottom)) {\n  .dropdown-content.languages {\n    min-width: auto;\n    text-align: center;\n    right: 0;\n    left: auto;\n  }\n}\n\n/* Anchor positioning is still new. */\n@supports (top: anchor(bottom)) {\n  .dropdown:focus,\n  /* Keep the menu position when focusing any menu entry: */\n  #menu .dropdown:has(a:focus),\n  /* The hover is only supported when the menu is not focused: */\n  #menu:not(:has(:focus)) .dropdown:hover {\n    anchor-name: --menu-dropdown-anchor;\n  }\n  .dropdown-content {\n    position: fixed;\n    position-anchor: --menu-dropdown-anchor;\n    position-try-fallbacks: --right-aligned;\n    top: anchor(bottom);\n    left: anchor(left);\n  }\n  @media (max-width: $breakpoint-tablet) {\n    .dropdown-content {\n      left: auto;\n      right: auto;\n      justify-self: anchor-center;\n      position-try-fallbacks: --top-aligned;\n    }\n  }\n  @position-try --right-aligned {\n    left: auto;\n    right: anchor(right);\n  }\n\n  @position-try --top-aligned {\n    top: auto;\n    bottom: anchor(top);\n  }\n}\n\n#chevron-hint {\n  display: none;\n  text-align: center;\n  position: absolute;\n  left: 0;\n  right: 0;\n  margin-left: auto;\n  margin-right: auto;\n  bottom: 10px;\n  animation: bouncing 2s 3 ease-in-out;\n  @media only screen and (max-height: 870px) and (min-height: 470px) {\n    display: none;\n  }\n  @media only screen and (min-height: 870px) and (max-height: 910px) and (min-height: 470px) {\n    display: none;\n    margin-bottom: 40px;\n  }\n  .fa-circle {\n    opacity: 0.85;\n  }\n}\n\n@keyframes bouncing {\n  0% {\n    bottom: 10px;\n  }\n  50% {\n    bottom: 20px;\n  }\n  100% {\n    bottom: 10px;\n    opacity: 1;\n  }\n}\n\n#pan-offer-descriptions {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: space-around;\n  align-items: stretch;\n  .pan-offer {\n    text-align: center;\n    display: flex;\n    flex-direction: column;\n    justify-content: center;\n    padding: 1em;\n    margin: 1em;\n    font-size: 1.5em;\n    font-weight: bold;\n    background-color: white;\n    flex-basis: 150px;\n    flex-grow: 1;\n    border-radius: 5px;\n    box-shadow: 3px 3px 5px grey;\n    .pan-offer-subtitle {\n      font-size: 0.75em;\n      font-weight: normal;\n    }\n  }\n}\n\na.tile {\n  color: $almost-black;\n  text-decoration: none;\n  display: flex;\n  flex-direction: row;\n  align-items: flex-start;\n  justify-content: flex-start;\n  gap: 1em;\n}\n\na.tile:hover {\n  background: $lighter-blue;\n  border-radius: 0;\n}\n\n.tile h3 {\n  line-height: 1.25em;\n}\n\n.tile__icon {\n  height: 4em;\n}\n\n.tile-colored {\n  color: var(--theme-light-text) !important;\n\n  .tile__icon {\n    background: #fff;\n    padding: 5px;\n  }\n}\n\na.tile.sub_tile {\n  background: var(--lightest-grey);\n  border: 1px solid var(--light-grey);\n  width: 85%;\n  overflow: clip;\n}\n\n.grid.available-data {\n  gap: 1.5em !important;\n  grid-auto-rows: 1fr;\n  .tile__text {\n    height: 100%;\n    display: flex;\n    flex-direction: column;\n    justify-content: space-around;\n  }\n}\n\n.upcoming {\n  margin-top: 5em;\n\n  .grid {\n    color: $grey;\n    gap: 1.5em !important;\n\n    .tile {\n      flex-direction: row;\n      transform: none;\n\n      h3 {\n        font-size: 1.25em;\n        margin: 0 0 0 1em;\n      }\n\n      .tile__icon {\n        height: 3em;\n      }\n    }\n\n    a {\n      color: $grey;\n    }\n\n    a .text-center {\n      margin-top: .5em;\n    }\n  }\n\n  a.mailing-list {\n    margin-top: 2em;\n    display: inline-block;\n  }\n}\n\n.companies img {\n  margin: 1.5em;\n  height: 48px;\n}\n\n.home-top-content {\n  display: flex;\n  flex-wrap: nowrap; // wrapping is done with media queries\n  .home-title {\n    flex-basis: 50%;\n    padding-right: 96px;\n    h1 {\n      font-size: 2.5em;\n    }\n    h2 {\n      margin-top: 2em;\n      font-size: 1.5em;\n      font-weight: normal;\n    }\n  }\n  .home-search {\n    flex-basis: 50%;\n    padding-left: 48px;\n    border-left: 5px solid var(--theme-primary);\n    .home-other-search-methods {\n      display: flex;\n      justify-content: space-between;\n      .search-method {\n        flex-basis: 200px;\n        padding: 12px;\n        a {\n          display: flex;\n          flex-direction: column;\n          align-items: center;\n          text-align: center;\n        }\n        img {\n          max-width: 75px;\n        }\n      }\n    }\n    h4 {\n      margin-bottom: 0;\n    }\n  }\n}\n\n@media (max-width: 1250px) {\n  .home-top-content {\n    flex-direction: column;\n    text-align: center;\n    align-items: center;\n    padding: 0 24px;\n    max-width: 100%;\n    overflow: hidden;\n\n    .home-title {\n      padding-right: 0;\n      max-width: 100%;\n      h2 {\n        margin-top: 0.5em;\n      }\n    }\n    .home-search {\n      max-width: 100%;\n      border: none;\n      padding-left: 0;\n      padding-top: 48px;\n      text-align: center;\n      form {\n        margin: 0 auto;\n      }\n    }\n    .search-method {\n      background-color: rgb(255 255 255 / 0.8);\n      border-radius: 5px;\n      margin: 0 12px;\n      &:hover {\n        background-color: rgb(255 255 255 / 0.9);\n      }\n      a {\n        background-color: initial;\n      }\n    }\n  }\n}\n\n@media (max-width: 500px) {\n  .home-top-content {\n    padding: 0 6px;\n    .search-method {\n      padding: 6px !important;\n      margin: 0 6px;\n    }\n  }\n}\n\n.section__description .row {\n  justify-content: start;\n  align-items: center;\n}\n\n.section__description .key-numbers {\n  margin: 2em 2em 2em 0;\n  justify-content: space-between;\n}\n\n.key-numbers strong {\n  font-size: 3em;\n  font-family: Evolventa;\n  margin-right: 0.2em;\n}\n\n.key-number__item {\n  display: flex;\n  flex-direction: row;\n  align-items: center;\n}\n\n.illustration {\n  height: 13em;\n}\n\n.section__description {\n  flex-grow: 1;\n}\n\n.section__description p {\n  margin-bottom: 2em;\n}\n\n.deployment-map {\n  display: flex;\n  flex-direction: column;\n  flex-shrink: 1;\n  justify-content: center;\n}\n\na.button.reuser-space {\n  background-color: var(--primary-color-reuser)\n}\n\n@media (max-width: 899px) {\n  .row {\n    flex-direction: column;\n  }\n\n  .row * + * {\n    margin-left: 0;\n    margin-top: 1em;\n  }\n\n  h2 {\n    text-align: center;\n  }\n\n  .key-numbers.row {\n    flex-direction: column;\n    justify-content: space-between;\n    align-items: center;\n    margin-right: 0;\n  }\n\n  .key-number__item + .key-number__item {\n    margin-top: 2em;\n  }\n\n  .key-number__item > * {\n    margin: 0;\n  }\n\n  .section__description {\n    order: 2;\n  }\n\n  .section__description p {\n    text-align: center;\n  }\n\n  .illustration {\n    order: 1;\n    margin: 0 0 2em;\n  }\n}\n\n.footer__logo {\n  width: 400px;\n  max-width: 90%;\n}\n\n.footer__logo .ministere-link {\n  text-decoration: none;\n  color: white;\n  font-size: 1.5em;\n  &:hover {\n    background: var(--darker-grey);\n  }\n}\n\n#mce-responses .response {\n  display: none;\n}\n\n@function change-luminosity($color, $shift) {\n  @return oklab(from $color calc(l + $shift) a b);\n}\n\n.notification_badge {\n  /* Adjust background color to have proper contrast (accessibility issue). */\n  background-color: change-luminosity(#fa3e3e, -0.06);\n  border-radius: 4px;\n  font-weight: 600;\n  color: white;\n  line-height: 1.5em;\n  min-width: 1.7em;\n  display: inline-flex;\n  justify-content: center;\n  padding: 1px 3px;\n  font-size: 10px;\n  position: absolute;\n  top: 0;\n  right: 0;\n\n  &.static {\n    position: static;\n  }\n}\n\na.anchor {\n  text-decoration: none;\n  color: var(--light-grey);\n}\n\n.side-pane__submenu a.active {\n  color: var(--blue);\n  font-weight: bold;\n}\n\n.documentation {\n  align-items: flex-start;\n}\n\n@media (min-width: 768px) {\n  .side-pane {\n    position: sticky;\n    top: 20px;\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/main.scss",
    "content": "body {\n  scroll-behavior: smooth;\n}\n\nmain {\n  min-height: calc(100% - 96px - 73px);\n}\n\n.hero {\n  background: $white;\n}\n\n.hero__container {\n  color: $dark-text;\n  padding: 5em 0;\n  flex-direction: row;\n  align-items: center;\n}\n\n.hero h2 {\n  font-family: 'Source Sans Pro';\n  font-weight: 400;\n  font-size: 1.25em;\n}\n\n.navbar {\n  border: 0;\n}\n\n// Note: to be removed when the new Design System is used\n.navbar__home {\n  height: 100px;\n}\n\n.nav__links {\n  display: flex;\n  align-items: center;\n  flex-wrap: wrap;\n  justify-content: end;\n}\n\nnav.navigation input {\n  display: none;\n}\n\n.nav__hamburger {\n  display: none;\n}\n\n.nav__avatar {\n  height: 24px;\n  width: 24px;\n  border-radius: 50%;\n  border: 0.5px solid;\n  vertical-align: middle;\n}\n\n.nav__item > a {\n  display: inline-block;\n  min-height: 24px;\n  padding: 0.4em 0.8em;\n}\n\n.navbar__logo-mariane {\n  height: 90%;\n  margin-right: 1em;\n}\n\n.navbar__logo-black {\n  max-width: 300px;\n  height: 100%;\n  @media (max-width: $breakpoint-tablet) {\n    display: none;\n  }\n}\n\n.button {\n  text-align: center;\n}\n\n.button-outline.no-border {\n  border: none;\n}\n\n.inline-block {\n  display: inline-block;\n}\n\n#close-menu {\n  display: none;\n}\n\n// Note: to be removed when the new Design System is used\n#menu {\n  display: flex;\n  flex-direction: column;\n  align-items: flex-end;\n}\n\n// Note: to be removed when the new Design System is used\n.navbar__container {\n  nav {\n    flex-grow: 1;\n    .top-nav-links {\n      align-self: flex-end;\n    }\n  }\n}\n\ndialog {\n  &.panel {\n    position: fixed;\n  }\n  &::backdrop {\n    background: var(--darker-grey);\n    opacity: 0.3;\n  }\n  hr {\n    margin: var(--space-m) 0;\n  }\n}\n\n@media (max-width: $breakpoint-tablet) {\n  .navbar__container {\n    align-items: center;\n    flex-direction: row-reverse;\n\n    nav {\n      flex: 1;\n    }\n\n    nav .nav__hamburger {\n      display: block;\n      text-decoration: none;\n      font-size: 2rem;\n      color: black;\n      border: none;\n      margin-inline: 1rem;\n      vertical-align: text-top;\n    }\n\n    .navbar__home {\n      max-width: 85%;\n    }\n\n    #menu {\n      display: none;\n    }\n\n    #close-menu {\n      text-decoration: none;\n    }\n\n    #menu:target {\n      background: $white;\n      display: flex;\n      flex-direction: column;\n      position: fixed;\n      top: 0;\n      left: 0;\n      height: 100%;\n      width: 100%;\n      z-index: 10;\n\n      & > a {\n        display: flex;\n        margin-left: 20px;\n        margin-top: 20px;\n        font-size: 2em;\n        width: 1em;\n      }\n\n      ul {\n        justify-content: center;\n        align-items: center;\n        flex-direction: column;\n        width: 100%;\n        li {\n          line-height: 3em;\n        }\n      }\n    }\n  }\n\n  .hero__container {\n    padding: 0.5em 0;\n  }\n}\n\n.input__group .button {\n  margin-left: var(--space-s) !important;\n}\n\n.user-name-display, a.with-badge {\n  display: flex;\n  align-items: center;\n  gap: 0.5em;\n  .notification_badge {\n    align-self: start;\n    transform: translateY(-0.4em);\n  }\n}\n\n.nav__item .language {\n  vertical-align: middle;\n}\n\n.no-margin {\n  margin: 0;\n}\n\n.explore_map {\n  width: 100vw;\n  height: 80vh;\n  border-top: 1px solid #ccc;\n  z-index: 0;\n}\n\niframe#dailymotion-video {\n  height: 500px;\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/prism.css",
    "content": "/* PrismJS 1.29.0\nhttps://prismjs.com/download.html#themes=prism-okaidia&languages=markup */\ncode[class*=language-],pre[class*=language-]{color:#f8f8f2;background:0 0;text-shadow:0 1px rgba(0,0,0,.3);font-family:Consolas,Monaco,'Andale Mono','Ubuntu Mono',monospace;font-size:1em;text-align:left;white-space:pre;word-spacing:normal;word-break:normal;word-wrap:normal;line-height:1.5;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-hyphens:none;-moz-hyphens:none;-ms-hyphens:none;hyphens:none}pre[class*=language-]{padding:1em;margin:.5em 0;overflow:auto;border-radius:.3em}:not(pre)>code[class*=language-],pre[class*=language-]{background:#272822}:not(pre)>code[class*=language-]{padding:.1em;border-radius:.3em;white-space:normal}.token.cdata,.token.comment,.token.doctype,.token.prolog{color:#8292a2}.token.punctuation{color:#f8f8f2}.token.namespace{opacity:.7}.token.constant,.token.deleted,.token.property,.token.symbol,.token.tag{color:#f92672}.token.boolean,.token.number{color:#ae81ff}.token.attr-name,.token.builtin,.token.char,.token.inserted,.token.selector,.token.string{color:#a6e22e}.language-css .token.string,.style .token.string,.token.entity,.token.operator,.token.url,.token.variable{color:#f8f8f2}.token.atrule,.token.attr-value,.token.class-name,.token.function{color:#e6db74}.token.keyword{color:#66d9ef}.token.important,.token.regex{color:#fd971f}.token.bold,.token.important{font-weight:700}.token.italic{font-style:italic}.token.entity{cursor:help}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/producteurs.scss",
    "content": ".with-gradient {\n  background: linear-gradient(\n    0deg,\n    rgb(215 232 255) 0%,\n    rgb(255 255 255) 50%\n  );\n}\n\n.social-media-logo {\n  display: inline-block;\n  margin-right: 1em;\n\n  img {\n    width: 50px;\n  }\n}\n\n.tgv {\n  width: 50vw;\n  position: relative;\n  height: 0;\n  bottom: 17px;\n  margin: 0 0 0 auto;\n  img {\n    width: 100%;\n  }\n}\n\n.producteurs-content .presentation-icon {\n  text-align: center;\n  font-size: 3em;\n  img {\n    width: 50px;\n  }\n}\n\n.producteurs-presentation {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: space-between;\n  margin: -24px;\n  > div {\n    flex-basis: 300px;\n    max-width: calc(50% - 48px);\n    flex-grow: 1;\n    padding: 24px;\n    margin: 24px;\n    display: flex;\n    flex-direction: column;\n    justify-content: space-between;\n  }\n  @include tablet {\n    flex-direction: column;\n    align-items: center;\n    margin: -12px;\n    > div {\n      margin: 12px;\n      padding: 12px;\n      max-width: 450px;\n    }\n  }\n  .presentation-action {\n    flex-grow: 0;\n    align-self: center;\n  }\n}\n\n.section-why {\n  background-image: url('/images/producteurs/chariot-donnees.svg');\n  background-repeat: no-repeat;\n  background-position: bottom 10px left 20px;\n  background-size: 15%;\n  padding-bottom: 96px;\n  @media (max-width: $breakpoint-tablet) {\n    background-size: 50%;\n  }\n  @media (min-width: $breakpoint-tablet) and (max-width: $breakpoint-desktop) {\n    background-size: 30%;\n  }\n  &.no-bg {\n    background: none;\n    padding-bottom: 0;\n  }\n  .section-why-body {\n    display: flex;\n    flex-wrap: wrap;\n    justify-content: space-around;\n    align-items: stretch;\n    > div {\n      flex-basis: 90%;\n      max-width: 500px;\n      flex-grow: 0;\n      text-align: left;\n      display: flex;\n      align-items: flex-start;\n      flex-wrap: wrap;\n      justify-content: space-around;\n      .why-section-picto {\n        flex-basis: 96px;\n        flex-grow: 1;\n        max-width: 96px;\n        img {\n          width: 100%;\n        }\n      }\n      .why-section-text {\n        padding-left: 24px;\n        flex-basis: 300px;\n        min-width: 250px;\n        flex-grow: 2;\n      }\n    }\n    .panel {\n      margin: 0 0 24px;\n    }\n  }\n}\n\n.producteurs-section {\n  h1 {\n    font-size: 2.5em;\n  }\n  @media (max-width: $breakpoint-tablet) {\n    h1 {\n      font-size: 2em;\n    }\n  }\n  h2 {\n    font-size: 1.5em;\n  }\n  .producteurs-top {\n    display: flex;\n    align-items: flex-start;\n    flex-wrap: wrap;\n    padding-bottom: 0;\n\n    .panel-producteurs {\n      border-left: 5px solid var(--theme-primary);\n      padding: 24px;\n      flex-basis: 250px;\n      flex-grow: 1;\n      h2 {\n        text-align: left;\n      }\n      &.signed-in {\n        border-left: 5px solid var(--primary-color-producer);\n        .button {\n          background-color: var(--primary-color-producer);\n        }\n      }\n    }\n    .producteurs-title {\n      padding-right: 48px;\n      flex-basis: 50%;\n    }\n  }\n  .input__group {\n    flex-wrap: wrap;\n    input {\n      margin-right: 12px;\n    }\n  }\n  #mc-embedded-subscribe {\n    margin-left: 0 !important;\n  }\n}\n\n.section {\n  .producteurs-community {\n    display: flex;\n    align-items: flex-start;\n    justify-content: space-around;\n    flex-wrap: wrap;\n    .producteurs-community-child {\n      flex-basis: 35%;\n      text-align: left;\n    }\n  }\n  @media (max-width: 1250px) {\n    .producteurs-community {\n      flex-direction: column;\n      align-items: center;\n      div {\n        text-align: center;\n      }\n      .input__group {\n        justify-content: center;\n      }\n    }\n  }\n}\n\n.breadcrumbs {\n  display: flex;\n\n  .breadcrumbs-element {\n    list-style: none;\n    padding-right: 0.5em;\n    color: var(--dark-grey);\n    a {\n      color: var(--dark-grey);\n    }\n  }\n  .breadcrumbs-element + .breadcrumbs-element {\n    &::before {\n      content: '>';\n      padding-right: 0.5em;\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/reuser_space.scss",
    "content": ".reuser-space {\n  padding-top: 24px;\n\n  .row {\n    display: grid;\n    grid-template-columns: repeat(3, 1fr);\n    column-gap: 2em;\n\n    &> * {\n      margin-top: var(--space-m);\n    }\n\n    .dataset__panel {\n      margin-top: 1em;\n    }\n  }\n\n  .row > * + * {\n    margin-left: 0;\n  }\n\n  .panel__content {\n    flex-grow: 1;\n  }\n\n  a.button, .button.primary {\n    background-color: var(--primary-color-reuser);\n  }\n\n  .button-outline.primary {\n    color: var(--primary-color-reuser);\n    border-color: var(--primary-color-reuser);\n  }\n}\n\n.reuser-space-section {\n  background-color: var(--theme-background-grey);\n  min-height: 80vh;\n\n  .button.primary {\n    background-color: var(--primary-color-reuser);\n  }\n}\n\n.action-panel {\n  display: grid;\n  grid-template-rows: min-content 1fr;\n\n  img.picto {\n    height: 48px;\n    width: 48px;\n  }\n\n  h4 {\n    cursor: pointer;\n    margin-bottom: 0;\n    display: flex;\n    align-items: center;\n    gap: 1rem;\n  }\n\n  .action-panel-content {\n    display: grid;\n    grid-template-rows: 1fr min-content;\n    justify-items: center;\n    align-items: first baseline;\n    margin-top: var(--space-s);\n    gap: var(--space-s);\n\n    .action-text {\n      display: flex;\n      flex-direction: column;\n      gap: var(--space-xs);\n    }\n\n    a.button {\n      margin: unset;\n    }\n  }\n\n  .action-panel-content.hide {\n    display: none;\n  }\n}\n\nform.search-followed-datasets {\n  max-width: 100%;\n\n  input#search {\n    padding-left: 30px;\n    width: 350px;\n  }\n\n  .form__group {\n    margin-top: 0;\n    display: inline-block;\n  }\n}\n\n.align-right, td.align-right {\n  text-align: right;\n}\n\nform.full-width {\n  max-width: 100%;\n}\nform.inline {\n  display: inline;\n}\n\na.button.reuser-space {\n  background-color: var(--primary-color-reuser);\n}\n\na.no-bg:hover {\n  background: none;\n}\n\nth.action-column {\n  width: 175px;\n}\n\n.sorted_table {\n  th {\n    border: 1px solid var(--light-grey);\n  }\n  td {\n    border: 1px solid var(--lighter-grey);\n  }\n  th.sort {\n    padding-right: 20px;\n    position: relative;\n    cursor: pointer;\n\n    &::after {\n      content: '';\n      height: 30px;\n      width: 15px;\n      position: absolute;\n      top: calc(50% - 15px);\n      right: 0;\n      background: url('/images/icons/unsorted.svg');\n      background-size: cover;\n      margin-right: 15px;\n    }\n\n    &.asc::after {\n      background: url('/images/icons/sorted_asc.svg');\n      background-size: cover;\n    }\n\n    &.desc::after {\n      background: url('/images/icons/sorted_desc.svg');\n      background-size: cover;\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/client/stylesheets/reuses.scss",
    "content": "#reuses_search {\n  padding-left: 30px;\n  width: 400px;\n  display: inline-block;\n}\n\n#reuses_search_container {\n  margin: 1em 0;\n  display: flex;\n  flex-direction: row;\n\n  .form__group + .form__group {\n    margin-left: 2em;\n    margin-top: 0;\n  }\n\n  .reuses_search_button {\n    margin: 0 0 0 2em;\n    display: flex;\n    justify-content: center;\n  }\n}\n\n.card__cover {\n  background: transparent;\n}\n"
  },
  {
    "path": "apps/transport/client/webpack.common.js",
    "content": "const { resolve } = require('path')\nconst webpack = require('webpack')\nconst CopyWebpackPlugin = require('copy-webpack-plugin')\nconst MiniCssExtractPlugin = require('mini-css-extract-plugin')\nconst extractImages = new CopyWebpackPlugin({ patterns: [{ from: 'images', to: '../images' }] })\nconst extractSass = new MiniCssExtractPlugin({ filename: '../css/app.css' })\nconst promisePolyfill = new webpack.ProvidePlugin({ Promise: 'core-js/es/promise/index.js' })\n\nmodule.exports = {\n    entry: {\n        app: './javascripts/app.js',\n        clipboard: './javascripts/clipboard.js',\n        map: './javascripts/map.js',\n        vega: './javascripts/vega.js',\n        resourceviz: './javascripts/resource-viz.js',\n        explore: './javascripts/explore.js',\n        gtfs: './javascripts/gtfs.js',\n        mapgeojson: './javascripts/map-geojson.js',\n        datasetmap: './javascripts/dataset-map.js',\n        validationmap: './javascripts/validation-map.js',\n        utils: './javascripts/utils.js',\n        autocomplete: './javascripts/autocomplete.js',\n        autocomplete_address: './javascripts/autocomplete_address.js',\n        fullscreen_wrapper: './javascripts/fullscreen_wrapper.js',\n        scss: './stylesheets/app.scss'\n    },\n    output: {\n        path: resolve('../priv/static/js'),\n        filename: '[name].js'\n    },\n    resolve: {\n        modules: [resolve('./node_modules')],\n        // https://github.com/Leaflet/Leaflet/issues/4849#issuecomment-307436996\n        alias: {\n            'images/layers.png$': resolve('./node_modules/leaflet/dist/images/layers.png'),\n            'images/layers-2x.png$': resolve('./node_modules/leaflet/dist/images/layers-2x.png'),\n            'images/marker-icon.png$': resolve('./node_modules/leaflet/dist/images/marker-icon.png'),\n            'images/marker-icon-2x.png$': resolve('./node_modules/leaflet/dist/images/marker-icon-2x.png'),\n            'images/marker-shadow.png$': resolve('./node_modules/leaflet/dist/images/marker-shadow.png')\n        }\n    },\n    plugins: [\n        extractImages,\n        extractSass,\n        promisePolyfill\n    ],\n    module: {\n        rules: [{ test: /\\.css$/, use: ['style-loader', 'css-loader'] },\n            {\n                test: /\\.js$/,\n                exclude: [/node_modules/],\n                use: {\n                    loader: 'babel-loader',\n                    options: {\n                        presets: ['@babel/preset-env']\n                    }\n                }\n            }, {\n                test: /\\.scss$/,\n                exclude: [/node_modules/],\n                use:\n                [\n                    MiniCssExtractPlugin.loader,\n                    {\n                        loader: 'css-loader',\n                        options: {\n                            sourceMap: true\n                        }\n                    }, {\n                        loader: 'sass-loader',\n                        options: {\n                            sourceMap: true\n                        }\n                    }\n                ]\n            }, {\n                test: /\\.(jpe?g|png|gif|svg)$/,\n                type: 'asset/resource',\n                generator: {\n                    filename: '[name][ext]'\n                }\n            }, {\n                test: /\\.(eot|ttf|otf|woff|woff2)(\\?v=\\d+\\.\\d+\\.\\d+)?$/,\n                type: 'asset/resource',\n                generator: {\n                    filename: '[name][ext]'\n                }\n            }]\n    }\n}\n"
  },
  {
    "path": "apps/transport/client/webpack.dev.js",
    "content": "const { merge } = require('webpack-merge')\nconst common = require('./webpack.common.js')\n\nconsole.log('webpack dev configuration is used')\n\nmodule.exports = merge(common, {\n    mode: 'development',\n    watch: true,\n    devtool: 'source-map'\n})\n"
  },
  {
    "path": "apps/transport/client/webpack.prod.js",
    "content": "const { merge } = require('webpack-merge')\nconst common = require('./webpack.common.js')\nconst CssMinimizerPlugin = require('css-minimizer-webpack-plugin')\n\nconsole.log('webpack production configuration is used 🚀')\n\nconst config = {\n    mode: 'production',\n    optimization: {\n        minimizer: [\n            // For webpack@5 you can use the `...` syntax to extend existing minimizers (i.e. `terser-webpack-plugin`), uncomment the next line\n            '...',\n            new CssMinimizerPlugin()\n        ]\n    }\n}\n\n// Enable caching only in the continuous integration env to speed-up builds\nif (process.env.CI === 'true') {\n    console.log('cache is enabled ♻️⚡️')\n\n    config.cache = {\n        type: 'filesystem',\n        compression: 'gzip'\n    }\n    config.infrastructureLogging = { debug: true }\n}\n\nmodule.exports = merge(common, config)\n"
  },
  {
    "path": "apps/transport/lib/S3/aggregates_uploader.ex",
    "content": "defmodule Transport.S3.AggregatesUploader do\n  @moduledoc \"\"\"\n  Helpers to upload a file, computes its sha256, and update a \"latest\" file.\n  \"\"\"\n\n  @spec upload_aggregate!(Path.t(), String.t(), String.t()) :: :ok\n  @doc \"\"\"\n  This method takes a local `file` and upload 4 different files to our S3 `aggregates` bucket (the bucket is expected to exist):\n  - the `remote_path` and `remote_latest_path` containing the data from `file`\n  - two companions files with `.sha256sum` extension appended (SHA256 sum is computed on the fly)\n\n  Example\n\n    with_tmp_file(fn file ->\n      File.write(file, \"some relevant data\")\n      upload_aggregate!(file, \"aggregate-20250127193035.csv\", \"aggregate-latest.csv\")\n    end)\n  \"\"\"\n  def upload_aggregate!(file, remote_path, remote_latest_path) do\n    with_tmp_file(fn checksum_file ->\n      sha256!(file, checksum_file)\n\n      upload_files!(file, checksum_file, remote_path)\n      |> update_latest_files!(remote_latest_path)\n    end)\n  end\n\n  @spec with_tmp_file((Path.t() -> any())) :: any()\n  def with_tmp_file(cb) do\n    file = mk_tmp_file()\n\n    try do\n      cb.(file)\n    after\n      :ok = File.rm(file)\n    end\n  end\n\n  def timestamp, do: DateTime.utc_now() |> Calendar.strftime(\"%Y%m%d.%H%M%S.%f\")\n\n  defp mk_tmp_file do\n    path = System.tmp_dir!() |> Path.join(Ecto.UUID.generate())\n\n    File.touch!(path)\n\n    path\n  end\n\n  defp sha256!(file, checksum_file) do\n    hash_state = :crypto.hash_init(:sha256)\n\n    hash =\n      File.stream!(file, 2048)\n      |> Enum.reduce(hash_state, fn chunk, prev_state ->\n        :crypto.hash_update(prev_state, chunk)\n      end)\n      |> :crypto.hash_final()\n      |> Base.encode16()\n      |> String.downcase()\n\n    File.write!(checksum_file, hash)\n  end\n\n  defp upload_files!(file, checksum_file, remote_path) do\n    remote_checksum_path = checksum_filename(remote_path)\n\n    stream_upload!(file, remote_path)\n    stream_upload!(checksum_file, remote_checksum_path)\n\n    {remote_path, remote_checksum_path}\n  end\n\n  defp update_latest_files!({remote_path, remote_checksum_path}, remote_latest_path) do\n    remote_latest_checksum_path = checksum_filename(remote_latest_path)\n\n    copy!(remote_path, remote_latest_path)\n    copy!(remote_checksum_path, remote_latest_checksum_path)\n\n    :ok\n  end\n\n  defp checksum_filename(base_filename) do\n    \"#{base_filename}.sha256sum\"\n  end\n\n  defp stream_upload!(file, filename) do\n    Transport.S3.stream_to_s3!(:aggregates, file, filename)\n  end\n\n  defp copy!(s3_path, filename) do\n    Transport.S3.remote_copy_file!(:aggregates, s3_path, filename)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/S3/unzip.ex",
    "content": "defmodule Transport.Unzip.S3.Behaviour do\n  @moduledoc \"\"\"\n  Behaviour to allow partial Unzip testing.\n  \"\"\"\n\n  @callback get_file_stream(binary(), binary(), binary()) :: Enumerable.t()\n  @callback get_unzip(binary(), binary()) :: {:ok, Unzip.t()}\nend\n\ndefmodule Transport.Unzip.S3 do\n  def impl, do: Application.get_env(:transport, :unzip_s3_impl, __MODULE__)\n\n  @behaviour Transport.Unzip.S3.Behaviour\n\n  @moduledoc \"\"\"\n  Read a remote zip file stored on a S3 bucket, as explained here\n  https://hexdocs.pm/unzip/readme.html\n  \"\"\"\n\n  defstruct [:path, :bucket, :s3_config]\n  alias __MODULE__\n\n  def new(path, bucket, s3_config) do\n    %S3{path: path, bucket: bucket, s3_config: s3_config}\n  end\n\n  defp aws_s3_config,\n    do:\n      ExAws.Config.new(:s3,\n        access_key_id: [Application.fetch_env!(:ex_aws, :access_key_id), :instance_role],\n        secret_access_key: [Application.fetch_env!(:ex_aws, :secret_access_key), :instance_role]\n      )\n\n  def get_file_stream(file_name, zip_name, bucket_name) do\n    {:ok, unzip} = get_unzip(zip_name, bucket_name)\n    Unzip.file_stream!(unzip, file_name)\n  end\n\n  def get_unzip(zip_name, bucket_name) do\n    aws_s3_config = aws_s3_config()\n    file = new(zip_name, bucket_name, aws_s3_config)\n    Unzip.new(file)\n  end\nend\n\ndefimpl Unzip.FileAccess, for: Transport.Unzip.S3 do\n  alias ExAws.S3\n\n  def size(file) do\n    %{headers: headers} = file.bucket |> S3.head_object(file.path) |> ExAws.request!(file.s3_config)\n\n    size =\n      headers\n      |> Enum.find(fn {k, _} -> String.downcase(k) == \"content-length\" end)\n      |> elem(1)\n      |> String.to_integer()\n\n    {:ok, size}\n  end\n\n  def pread(file, offset, length) do\n    {_, chunk} =\n      S3.Download.get_chunk(\n        %S3.Download{bucket: file.bucket, path: file.path, dest: nil},\n        %{start_byte: offset, end_byte: offset + length - 1},\n        file.s3_config\n      )\n\n    {:ok, chunk}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/converters/converter.ex",
    "content": "defmodule Transport.Converters.Converter do\n  @moduledoc \"\"\"\n  A behaviour for data converters, used only for GTFS files at the moment.\n  \"\"\"\n  @callback converter() :: binary()\n  @callback converter_version() :: binary()\nend\n"
  },
  {
    "path": "apps/transport/lib/data_frame/requiredness_processing.ex",
    "content": "defmodule Transport.DataFrame.RequirednessProcessing do\n  @moduledoc \"\"\"\n  Wrap value validation results with requiredness constraints.\n\n  - `required: true` - value must be present AND pass validation\n  - `required: false` - value must be empty OR pass validation\n  \"\"\"\n\n  alias Explorer.Series\n  alias Transport.DataFrame.Validation.Primitives\n\n  def wrap_with_requiredness(input_values_series, validation_series, required: true) do\n    Series.and(\n      Primitives.has_value(input_values_series),\n      validation_series\n    )\n  end\n\n  def wrap_with_requiredness(input_values_series, validation_series, required: false) do\n    Series.or(\n      Series.not(Primitives.has_value(input_values_series)),\n      validation_series\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/data_frame/validation_primitives.ex",
    "content": "defmodule Transport.DataFrame.Validation.Primitives do\n  @moduledoc \"\"\"\n  Series-based validation primitives.\n\n  Each function takes an `Explorer.Series` and returns a boolean `Explorer.Series`\n  indicating whether each value passes validation.\n\n  ## Philosophy\n\n  - **Input**: A series of string values (as read from CSV)\n  - **Output**: A boolean series indicating validity\n  - **No side effects**: Pure functions that don't modify input\n  - **Composable**: Can be combined with other series operations\n\n  ## Whitespace & optionality handling\n\n  The checks implemented here assume that:\n  - Heading & trailing whitespaces have been removed during a preprocessing step\n  - Optionality of the value is handled at an upper level\n\n  ## Examples\n\n      iex> alias Explorer.Series\n      iex> series = Series.from_list([\"hello@example.com\", \"invalid\", nil])\n      iex> email?(series) |> Series.to_list()\n      [true, false, nil]\n  \"\"\"\n\n  alias Explorer.Series\n\n  @doc \"\"\"\n  Check if values are present (non-nil and non-empty after preprocessing has stripped whitespace).\n\n  ## Examples\n\n      iex> has_value(build_series([\"something\", nil])) |> Series.to_list()\n      [true, false]\n\n      iex> has_value(build_series([\"hello\", \"\"])) |> Series.to_list()\n      [true, false]\n  \"\"\"\n  def has_value(series) do\n    Series.and(\n      Series.is_not_nil(series),\n      Series.not_equal(series, \"\")\n    )\n  end\n\n  @doc \"\"\"\n  Check if values match a given regex pattern (provided as string, as expected by Explorer).\n\n  ## Examples\n\n      iex> is_matching_the_pattern(build_series([\"123456789\", \"12345678\"]), ~S/^\\\\d{9}$/) |> Series.to_list()\n      [true, false]\n\n      iex> is_matching_the_pattern(build_series([\"abc\", \"123\"]), ~S/^\\\\d+$/) |> Series.to_list()\n      [false, true]\n  \"\"\"\n  def is_matching_the_pattern(series, pattern) when is_binary(pattern) do\n    Series.re_contains(series, pattern)\n  end\n\n  @simple_email_pattern ~S/(?i)\\A[^@\\s]+@[^@\\s]+\\.[^@\\s]+\\z/\n\n  @doc \"\"\"\n  Get the simple email validation pattern.\n\n  Returns a regex pattern string compatible with Explorer/Polars.\n  \"\"\"\n  def simple_email_pattern, do: @simple_email_pattern\n\n  @doc \"\"\"\n  Check if values are valid email addresses.\n\n  Uses a simple email pattern that catches most common cases.\n\n  ## Examples\n\n      iex> email?(build_series([\"hello@example.com\", \"invalid\"])) |> Series.to_list()\n      [true, false]\n\n      iex> email?(build_series([\"test@foo.bar\", \"hello@fool\"])) |> Series.to_list()\n      [true, false]\n  \"\"\"\n  def email?(series) do\n    Series.re_contains(series, @simple_email_pattern)\n  end\n\n  @doc \"\"\"\n  Check if values are in a given list of allowed values (enum).\n\n  ## Examples\n\n      iex> is_in_enum(build_series([\"Voirie\", \"Invalid\"]), [\"Voirie\", \"Parking\"]) |> Series.to_list()\n      [true, false]\n\n      iex> is_in_enum(build_series([\"A\", \"B\", \"C\"]), [\"A\", \"B\"]) |> Series.to_list()\n      [true, true, false]\n  \"\"\"\n  def is_in_enum(series, allowed_values) when is_list(allowed_values) do\n    Series.in(series, allowed_values)\n  end\n\n  @supported_boolean_values [\"true\", \"false\"]\n\n  @doc \"\"\"\n  Check if values are valid booleans (\"true\" or \"false\" strings).\n\n  Only accepts the exact strings \"true\" and \"false\", no other representations.\n\n  ## Examples\n\n      iex> boolean_value?(build_series([\"true\", \"false\", \"TRUE\"])) |> Series.to_list()\n      [true, true, false]\n\n      iex> boolean_value?(build_series([\"1\", \"0\", \"VRAI\", \"FAUX\"])) |> Series.to_list()\n      [false, false, false, false]\n  \"\"\"\n  def boolean_value?(series) do\n    Series.in(series, @supported_boolean_values)\n  end\n\n  @doc \"\"\"\n  Check if values are valid integers.\n\n  Attempts to cast to integer and checks for successful cast.\n  Overflow values are considered invalid.\n\n  ## Examples\n\n      iex> integer_value?(build_series([\"8\", \"-4\", \"05\"])) |> Series.to_list()\n      [true, true, true]\n\n      iex> integer_value?(build_series([\"9999999999999999999999\", \"INF\", \"NaN\"])) |> Series.to_list()\n      [false, false, false]\n  \"\"\"\n  def integer_value?(series) do\n    series\n    |> Series.cast(:integer)\n    |> Series.is_not_nil()\n  end\n\n  @doc \"\"\"\n  Check if values are valid numbers (floats).\n\n  Casts to float and checks for finite values (excludes Inf and NaN).\n\n  ## Examples\n\n      iex> numeric?(build_series([\"8\", \"-4.5\", \"05\", \"+5.47\", \"-9.789\"])) |> Series.to_list()\n      [true, true, true, true, true]\n\n      iex> numeric?(build_series([\"INF\", \"-INF\", \"NaN\", \"foobar\"])) |> Series.to_list()\n      [false, false, false, false]\n\n      iex> numeric?(build_series([\"9999999999999999999999\"])) |> Series.to_list()\n      [true]\n  \"\"\"\n  def numeric?(series) do\n    casted = Series.cast(series, {:f, 64})\n\n    Series.and(\n      Series.is_not_nil(casted),\n      Series.is_finite(casted)\n    )\n  end\n\n  @doc \"\"\"\n  Check if numeric values are greater than or equal to a minimum.\n\n  Casts to float for comparison. Returns nil for non-numeric values.\n\n  ## Examples\n\n      iex> is_greater_or_equal(build_series([\"8\", \"0\", \"5.1\", \"0.0\"]), 0) |> Series.to_list()\n      [true, true, true, true]\n\n      iex> is_greater_or_equal(build_series([\"-4\", \"-5.2\"]), 0) |> Series.to_list()\n      [false, false]\n\n      iex> is_greater_or_equal(build_series([\"9999999999999999999999\"]), 0) |> Series.to_list()\n      [true]\n  \"\"\"\n  def is_greater_or_equal(series, minimum) when is_number(minimum) do\n    series\n    |> Series.cast({:f, 64})\n    |> Series.greater_equal(minimum)\n  end\n\n  @iso_date_pattern ~S/\\A\\d{4}\\-\\d{2}\\-\\d{2}\\z/\n\n  @doc \"\"\"\n  Check if values match ISO date format (YYYY-MM-DD) and represent real dates.\n\n  The validation first ensures the pattern matches, then relies on the Explorer\n  date casting to reject impossible dates (e.g., 2024-02-30).\n\n  ## Examples\n\n      iex> date?(build_series([\"2024-10-07\"]), \"%Y-%m-%d\") |> Series.to_list()\n      [true]\n\n      iex> date?(build_series([\"2024-02-30\", \"2024/10/07\", \"2024\", \"2024-10\", \"foobar\"]), \"%Y-%m-%d\") |> Series.to_list()\n      [false, false, false, false, false]\n  \"\"\"\n  def date?(series, \"%Y-%m-%d\" = _format) do\n    matches_pattern = Series.re_contains(series, @iso_date_pattern)\n    casted = Series.cast(series, :date)\n\n    Series.and(\n      matches_pattern,\n      Series.is_not_nil(casted)\n    )\n  end\n\n  @geopoint_array_pattern ~S/\\A\\s*\\[\\s*\\-?\\d+(\\.\\d+)?\\s*,\\s*\\-?\\d+(\\.\\d+)?\\s*\\]\\s*\\z/\n\n  @doc \"\"\"\n  Check if values are valid geopoint arrays (TableSchema format).\n\n  Expects format like \"[lat,lon]\" with numeric coordinates.\n  Does not validate coordinate ranges.\n\n  This validation follows the TableSchema specification for geopoint type.\n\n  ## Examples\n\n      iex> geopoint?(build_series([\"[1,2]\", \"[-3,4.5]\", \"[0.0, -0.99]\", \"[-123.456,789]\", \"[42, 0]\", \" [1.2 , 3.4] \", \"[ 1.2, 3.4 ]\", \"[43.901514,  -0.480207]\"]), \"array\") |> Series.to_list()\n      [true, true, true, true, true, true, true, true]\n\n      iex> geopoint?(build_series([\"1,2\", \"[1,2,3]\", \"[1;2]\", \"[1. ,2]\", \"[a, b]\", \"[,]\"]), \"array\") |> Series.to_list()\n      [false, false, false, false, false, false]\n  \"\"\"\n  def geopoint?(series, \"array\" = _format) do\n    Series.re_contains(series, @geopoint_array_pattern)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/data_screens/data_screens.ex",
    "content": "defmodule Transport.Screens do\n  @moduledoc \"\"\"\n  Exploratory code that I have used from LiveBook.\n  \"\"\"\n  import Ecto.Query\n\n  def resources do\n    DB.Resource\n    |> select([p], map(p, [:id, :format, :datagouv_id]))\n  end\n\n  def resources_with_duplicate_datagouv_id do\n    resources()\n    |> DB.Repo.all()\n    |> Enum.group_by(fn x -> x[:datagouv_id] end)\n    |> Enum.filter(fn {_, b} -> b |> Enum.count() > 1 end)\n  end\n\n  def resources_with_duplicate_datagouv_id(markdown: true) do\n    resources_with_duplicate_datagouv_id()\n    |> Enum.map(fn {a, b} ->\n      [\n        \"#### resource_datagouv_id=#{a |> inspect}\\n\\n\",\n        b |> Enum.map(fn x -> \"* https://transport.data.gouv.fr/resources/#{x[:id]}\" end)\n      ]\n    end)\n    |> List.flatten()\n    |> Enum.join(\"\\n\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/authentication.ex",
    "content": "defmodule Datagouvfr.Authentication.Wrapper do\n  @moduledoc \"\"\"\n  An Authentication wrapper, useful for testing purposes\n  \"\"\"\n  @callback get_token!(keyword() | map()) :: map()\n\n  def impl, do: Application.get_env(:transport, :authentication_impl)\nend\n\ndefmodule Datagouvfr.Authentication.Dummy do\n  @moduledoc \"\"\"\n  A dummy Authentication module, giving back a dummy tocken.\n  \"\"\"\n  @behaviour Datagouvfr.Authentication.Wrapper\n\n  @impl Datagouvfr.Authentication.Wrapper\n  def get_token!(_), do: %{token: \"token\"}\nend\n\ndefmodule Datagouvfr.Authentication do\n  @moduledoc \"\"\"\n  An OAuth2 strategy for data.gouv.fr.\n  \"\"\"\n\n  alias OAuth2.Client\n  use OAuth2.Strategy\n  alias OAuth2.Strategy.AuthCode\n  @behaviour Datagouvfr.Authentication.Wrapper\n\n  # Public API\n\n  @spec client(any) :: OAuth2.Client.t()\n  def client(token \\\\ nil) do\n    :oauth2\n    |> Application.get_env(__MODULE__)\n    |> Keyword.put(:token, token)\n    |> Client.new()\n    |> Client.put_serializer(\"application/json\", Jason)\n  end\n\n  @spec authorize_url :: binary()\n  def authorize_url do\n    {_, url} = Client.authorize_url(client(), scope: \"default\")\n    url\n  end\n\n  @impl Datagouvfr.Authentication.Wrapper\n  @spec get_token!(keyword() | map()) :: OAuth2.Client.t()\n  def get_token!(params \\\\ []) do\n    Client.get_token!(client(), params, [], [{:timeout, 15_000}])\n  end\n\n  # Strategy Callbacks\n\n  @impl OAuth2.Strategy\n  @spec authorize_url(OAuth2.Client.t(), keyword() | map()) :: OAuth2.Client.t()\n  def authorize_url(client, params) do\n    AuthCode.authorize_url(client, params)\n  end\n\n  @impl OAuth2.Strategy\n  @spec get_token(OAuth2.Client.t(), keyword(), [{binary(), binary()}]) :: OAuth2.Client.t()\n  def get_token(client, params, headers) do\n    client\n    |> put_param(\"client_secret\", client.client_secret)\n    |> put_param(\"grant_type\", \"client_credentials\")\n    |> put_header(\"accept\", \"application/json\")\n    |> AuthCode.get_token(params, headers)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/client/api.ex",
    "content": "defmodule Datagouvfr.Client.API do\n  @moduledoc \"\"\"\n  Request Datagouv API\n  \"\"\"\n  require Logger\n  use Datagouvfr.Client\n\n  @type response :: {:ok, any} | {:error, any}\n  @type method :: :delete | :get | :head | :options | :patch | :post | :put\n\n  @default_max_retries 3\n\n  # HTTP client injection. Allow mock injection in tests\n  defp http_client, do: Application.fetch_env!(:transport, :httpoison_impl)\n\n  def api_key_headers do\n    {\"X-API-KEY\", Application.get_env(:transport, :datagouvfr_apikey)}\n  end\n\n  @spec decode_body({:ok, HTTPoison.Response.t()}) :: {:ok, map()} | {:error, any()}\n  def decode_body({:ok, %HTTPoison.Response{body: \"\", status_code: status_code}}),\n    do: {:ok, %{body: %{}, status_code: status_code}}\n\n  def decode_body({:ok, %HTTPoison.Response{body: body, status_code: status_code}})\n      when is_binary(body) do\n    case Jason.decode(body) do\n      {:ok, decoded_body} -> {:ok, %{body: decoded_body, status_code: status_code}}\n      {:error, error} -> {:error, error}\n    end\n  end\n\n  def decode_body({:error, %HTTPoison.Error{} = error}) do\n    {:error, error}\n  end\n\n  @spec get(path, [{binary(), binary()}], keyword()) :: response\n  def get(path, headers \\\\ [], options \\\\ []) when is_binary(path) or is_list(path) do\n    request(:get, path, \"\", headers, options)\n  end\n\n  @spec post(path(), any(), [{binary(), binary()}], boolean()) :: response\n  def post(path, body, headers, blank \\\\ false)\n\n  def post(path, body, headers, blank) when is_map(body) do\n    case Jason.encode(body) do\n      {:ok, body} ->\n        post(path, body, headers, blank)\n\n      {:error, error} ->\n        Logger.error(\"Unable to parse JSON: #{error}\")\n        {:error, error}\n    end\n  end\n\n  def post(path, body, headers, blank) when is_binary(path) or is_list(path) do\n    headers = default_content_type(headers)\n\n    if blank do\n      Logger.debug(fn -> \"Post body: #{inspect(body)}\" end)\n      Logger.debug(fn -> \"Post headers: #{inspect(headers)}\" end)\n      {:ok, body}\n    else\n      request(:post, path, body, headers, [])\n    end\n  end\n\n  @spec delete(path, [{binary(), binary()}], keyword()) :: response\n  def delete(path, headers \\\\ [], options \\\\ []) when is_binary(path) do\n    request(:delete, path, \"\", headers, options)\n  end\n\n  @spec request(\n          method(),\n          path(),\n          any(),\n          [{binary(), binary()}],\n          keyword\n        ) :: response\n  def request(method, path, body \\\\ \"\", headers \\\\ [], options \\\\ []) do\n    url = process_url(path)\n    request_url(method, url, body, headers, options)\n  end\n\n  @spec request_url(\n          method(),\n          path(),\n          any(),\n          [{binary(), binary()}],\n          keyword\n        ) :: response\n  defp request_url(method, url, body \\\\ \"\", headers \\\\ [], options \\\\ []) do\n    options = Keyword.put_new(options, :follow_redirect, true)\n\n    method\n    |> perform_request(url, body, headers, options)\n    |> decode_body()\n    |> post_process()\n  end\n\n  def perform_request(method, url, body, headers, options) do\n    perform_request(method, url, body, headers, options, @default_max_retries)\n  end\n\n  def perform_request(_method, _url, _body, _headers, _options, 0) do\n    {:error, %HTTPoison.Error{reason: :timeout}}\n  end\n\n  def perform_request(method, url, body, headers, options, max_retries)\n      when is_integer(max_retries) and max_retries > 0 do\n    case http_client().request(method, url, body, headers, options) do\n      {:error, %HTTPoison.Error{reason: :timeout}} ->\n        perform_request(method, url, body, headers, options, max_retries - 1)\n\n      response ->\n        response\n    end\n  end\n\n  @spec stream(path(), method()) :: Enumerable.t()\n  def stream(path, method \\\\ :get) do\n    next_fun = fn\n      nil ->\n        {:halt, nil}\n\n      url ->\n        case request_url(method, url) do\n          {:ok, body} ->\n            next_page = Map.get(body, \"next_page\", nil)\n            {[{:ok, body}], next_page}\n\n          {:error, error} ->\n            {[{:error, error}], nil}\n        end\n    end\n\n    Stream.resource(\n      fn -> process_url(path) end,\n      next_fun,\n      fn _ -> nil end\n    )\n  end\n\n  @spec fetch_all_pages!(path(), method()) :: [any()]\n  def fetch_all_pages!(path, method \\\\ :get) do\n    path\n    |> Datagouvfr.Client.API.stream(method)\n    |> Stream.flat_map(fn element ->\n      case element do\n        {:ok, %{\"data\" => data}} ->\n          data\n\n        {:ok, response} ->\n          raise \"Request was ok but the response didn't contain data. Response : #{response}\"\n\n        {:error, %{reason: reason}} ->\n          raise reason\n\n        {:error, error} ->\n          raise inspect(error)\n      end\n    end)\n    |> Enum.to_list()\n  end\n\n  @spec fetch_all_pages(path(), method()) :: {:ok, [any()]} | {:error, any()}\n  def fetch_all_pages(path, method \\\\ :get) do\n    {:ok, fetch_all_pages!(path, method)}\n  rescue\n    error ->\n      Logger.warning(error)\n      {:error, error}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/client/community_resources.ex",
    "content": "defmodule Datagouvfr.Client.CommunityResources do\n  @moduledoc \"\"\"\n    This behaviour defines the API for interacting with data.gouv community resources\n    , with alternative implementations.\n  \"\"\"\n\n  @callback get(dataset_id :: binary()) :: {:ok, [any()]} | {:error, []}\n  @callback delete(dataset_id :: binary(), resource_id :: binary()) ::\n              {:ok, any()} | {:error, any()}\n\n  defp impl, do: Application.get_env(:transport, :community_resources_impl)\n  def get(dataset_id), do: impl().get(dataset_id)\n  def delete(dataset_id, resource_id), do: impl().delete(dataset_id, resource_id)\nend\n\ndefmodule Datagouvfr.Client.CommunityResources.API do\n  @moduledoc \"\"\"\n    Actual implementation to interact with community resources through data.gouv.fr API\n  \"\"\"\n  require Logger\n\n  @behaviour Datagouvfr.Client.CommunityResources\n  @endpoint \"/datasets/community_resources/\"\n\n  @spec get(dataset_id :: binary()) :: {:ok, [any()]} | {:error, []}\n  def get(dataset_id) when is_binary(dataset_id) do\n    case Datagouvfr.Client.API.fetch_all_pages(\"#{@endpoint}?dataset=#{dataset_id}\") do\n      {:ok, pages} -> {:ok, pages}\n      {:error, _error} -> {:error, []}\n    end\n  end\n\n  def delete(dataset_datagouv_id, resource_datagouv_id) do\n    path = \"#{@endpoint}/#{resource_datagouv_id}?dataset=#{dataset_datagouv_id}\"\n    headers = [Datagouvfr.Client.API.api_key_headers()]\n\n    Datagouvfr.Client.API.delete(path, headers)\n  end\nend\n\ndefmodule Datagouvfr.Client.StubCommunityResources do\n  @moduledoc \"\"\"\n    A stub used for testing, when we don't really care about community resources\n  \"\"\"\n  @behaviour Datagouvfr.Client.CommunityResources\n\n  def get(_dataset_id) do\n    {:ok, []}\n  end\n\n  def delete(_dataset_id, _resource_id) do\n    {:ok, \"\"}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/client/datasets.ex",
    "content": "defmodule Datagouvfr.Client.Datasets do\n  @moduledoc \"\"\"\n  A wrapper to get datasets from data.gouv.fr API (or mock it for tests)\n  See https://doc.data.gouv.fr/api/reference/#/datasets\n  \"\"\"\n  use Gettext, backend: TransportWeb.Gettext\n  use Vex.Struct\n\n  defstruct description: nil,\n            frequency: nil,\n            licence: \"ODbL\",\n            organization: nil,\n            title: nil\n\n  @type t :: %__MODULE__{}\n\n  validates(:description,\n    length: [\n      min: 1,\n      message: dgettext(\"datagouv-dataset\", \"A description is needed\")\n    ]\n  )\n\n  validates(:frequency,\n    inclusion: [\n      \"bimonthly\",\n      \"fourTimesAWeek\",\n      \"semidaily\",\n      \"weekly\",\n      \"threeTimesAWeek\",\n      \"hourly\",\n      \"monthly\",\n      \"unknown\",\n      \"semimonthly\",\n      \"threeTimesAMonth\",\n      \"quarterly\",\n      \"triennial\",\n      \"threeTimesADay\",\n      \"punctual\",\n      \"continuous\",\n      \"quinquennial\",\n      \"semiweekly\",\n      \"biweekly\",\n      \"threeTimesAYear\",\n      \"irregular\",\n      \"annual\",\n      \"semiannual\",\n      \"daily\",\n      \"biennial\",\n      \"fourTimesADay\"\n    ]\n  )\n\n  validates(:organization,\n    length: [\n      min: 1,\n      message: dgettext(\"datagouv-dataset\", \"An organization is needed\")\n    ]\n  )\n\n  validates(:title,\n    length: [\n      min: 1,\n      message: dgettext(\"datagouv-dataset\", \"A title is needed\")\n    ]\n  )\n\n  @callback new(map()) :: %__MODULE__{}\n  def new(map), do: impl().new(map)\n\n  @callback get_id_from_url(String.t()) :: String.t() | nil\n  def get_id_from_url(url), do: impl().get_id_from_url(url)\n\n  @callback get_infos_from_url(String.t()) :: map() | nil\n  def get_infos_from_url(url), do: impl().get_infos_from_url(url)\n\n  @doc \"\"\"\n  Fetch **only user IDs** following a dataset.\n  \"\"\"\n  @callback get_followers(String.t()) :: {atom, map}\n  def get_followers(dataset_id), do: impl().get_followers(dataset_id)\n\n  @doc \"\"\"\n  Call to GET /api/1/datasets/:id/\n  You can see documentation here: https://doc.data.gouv.fr/api/reference/#/datasets/get_dataset\n  \"\"\"\n  @callback get(String.t()) :: {atom, any}\n  def get(id), do: impl().get(id)\n\n  defp impl, do: Application.get_env(:transport, :datasets_impl)\nend\n\ndefmodule Datagouvfr.Client.Datasets.External do\n  @moduledoc \"\"\"\n  A client to manipulate https://www.data.gouv.fr/api/1/datasets endpoints\n  \"\"\"\n\n  alias Datagouvfr.Client.API\n  require Logger\n  alias Helpers\n\n  @behaviour Datagouvfr.Client.Datasets\n\n  @endpoint \"datasets\"\n\n  @spec new(map()) :: Datagouvfr.Client.Datasets.t()\n  def new(%{} = map) do\n    map\n    |> Map.take(keys())\n    |> Enum.reduce(%Datagouvfr.Client.Datasets{}, &accumulator_atomizer/2)\n  end\n\n  @spec get_id_from_url(String.t()) :: String.t() | nil\n  def get_id_from_url(url) do\n    case get_infos_from_url(url) do\n      %{id: id} -> id\n      _ -> nil\n    end\n  end\n\n  @spec get_infos_from_url(String.t()) :: map() | nil\n  def get_infos_from_url(url) do\n    with filename when not is_nil(filename) <- Helpers.filename_from_url(url),\n         {:ok, dataset} <- [@endpoint, filename] |> API.get() do\n      %{id: dataset[\"id\"], title: dataset[\"title\"], organization: get_in(dataset, [\"organization\", \"name\"])}\n    else\n      _ -> nil\n    end\n  end\n\n  @doc \"\"\"\n  Fetch **only user IDs** following a dataset.\n  \"\"\"\n  @spec get_followers(String.t()) :: {atom, map}\n  def get_followers(dataset_id) do\n    [@endpoint, dataset_id, \"followers\", \"?page_size=500\"]\n    |> Path.join()\n    |> API.get([{\"x-fields\", \"data{follower{id}}, next_page\"}])\n  end\n\n  @doc \"\"\"\n  Call to GET /api/1/datasets/:id/\n  You can see documentation here: https://doc.data.gouv.fr/api/reference/#/datasets/get_dataset\n  \"\"\"\n  @spec get(String.t()) :: {atom, any}\n  def get(id) do\n    @endpoint\n    |> Path.join(id)\n    |> API.get()\n  end\n\n  @spec accumulator_atomizer({any(), any()}, map()) :: map()\n  def accumulator_atomizer({key, value}, m) do\n    Map.put(m, String.to_existing_atom(key), value)\n  end\n\n  @spec keys :: [binary()]\n  defp keys do\n    %Datagouvfr.Client.Datasets{}\n    |> Map.from_struct()\n    |> Map.keys()\n    |> Enum.map(&Atom.to_string/1)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/client/discussions.ex",
    "content": "defmodule Datagouvfr.Client.Discussions.Wrapper do\n  @moduledoc \"\"\"\n  A behavior for discussions\n  \"\"\"\n  alias Datagouvfr.Client.OAuth\n\n  @callback get(binary()) :: []\n  def get(id), do: impl().get(id)\n\n  @callback post(Plug.Conn.t(), binary(), binary(), close: boolean()) :: OAuth.oauth2_response()\n  def post(%Plug.Conn{} = conn, discussion_id, comment, close: close),\n    do: impl().post(conn, discussion_id, comment, close: close)\n\n  @callback post(Plug.Conn.t(), binary(), binary(), binary()) :: OAuth.oauth2_response()\n  def post(%Plug.Conn{} = conn, dataset_id, title, comment), do: impl().post(conn, dataset_id, title, comment)\n\n  defp impl, do: Application.fetch_env!(:transport, :datagouvfr_discussions)\nend\n\ndefmodule Datagouvfr.Client.Discussions.Dummy do\n  @moduledoc \"\"\"\n  Dummy Discussions, outputing nil\n  \"\"\"\n  @behaviour Datagouvfr.Client.Discussions.Wrapper\n\n  @impl true\n  def get(_), do: []\n\n  @impl true\n  def post(%Plug.Conn{}, _, _, close: _), do: {:ok, nil}\n\n  @impl true\n  def post(%Plug.Conn{}, _, _, _), do: {:ok, nil}\nend\n\ndefmodule Datagouvfr.Client.Discussions do\n  @moduledoc \"\"\"\n  An API client for data.gouv.fr discussions\n  \"\"\"\n  @behaviour Datagouvfr.Client.Discussions.Wrapper\n\n  alias Datagouvfr.Client.API\n  alias Datagouvfr.Client.OAuth, as: Client\n  require Logger\n\n  @endpoint \"discussions\"\n\n  @doc \"\"\"\n  Comment a discussion.\n\n  POST to /api/1/discussions/:id/\n  Documentation: https://doc.data.gouv.fr/api/reference/#/discussions/comment_discussion\n  \"\"\"\n  @spec post(Plug.Conn.t(), binary(), binary()) :: Client.oauth2_response()\n  def post(%Plug.Conn{} = conn, discussion_id, comment) do\n    post(conn, discussion_id, comment, close: false)\n  end\n\n  @spec post(Plug.Conn.t(), binary(), binary(), close: boolean()) :: Client.oauth2_response()\n  @impl true\n  def post(%Plug.Conn{} = conn, discussion_id, comment, close: close) do\n    Client.post(conn, Path.join(@endpoint, discussion_id), %{comment: comment, close: close}, [])\n  end\n\n  @doc \"\"\"\n  Create a new discussion.\n\n  POST to /api/1/discussions/\n  Documentation: https://doc.data.gouv.fr/api/reference/#/discussions/create_discussion\n  \"\"\"\n  @spec post(Plug.Conn.t(), binary, binary, binary) :: Client.oauth2_response()\n  @impl true\n  def post(%Plug.Conn{} = conn, dataset_id, title, comment) when is_binary(comment) do\n    payload = %{\n      comment: comment,\n      title: title,\n      subject: %{class: \"Dataset\", id: dataset_id}\n    }\n\n    Client.post(conn, @endpoint, payload, [])\n  end\n\n  @doc \"\"\"\n  List discussions for a specific model.\n\n  GET to /api/1/discussions/\n  Documentation: https://doc.data.gouv.fr/api/reference/#/discussions/list_discussions\n  \"\"\"\n  @impl true\n  def get(id) do\n    @endpoint\n    |> API.get([], follow_redirect: true, params: %{for: id})\n    |> case do\n      {:ok, %{\"data\" => data}} ->\n        data\n\n      {:error, error} ->\n        Logger.error(\"When fetching discussions for id #{id}: #{inspect(error)}\")\n        []\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/client/oauth.ex",
    "content": "defmodule Datagouvfr.Client.OAuth do\n  @moduledoc \"\"\"\n  Request Datagouvfr API with OAuth\n  \"\"\"\n  use Datagouvfr.Client\n\n  alias Datagouvfr.Authentication\n  alias OAuth2.{Client, Error, Request, Response}\n\n  require Logger\n\n  @type oauth2_response :: {:ok, any} | {:error, Error.t()} | {:error, Response.t()}\n\n  @spec get(Plug.Conn.t() | OAuth2.AccessToken.t(), path, Client.headers(), Keyword.t()) :: oauth2_response\n  def get(conn_or_token, path, headers \\\\ [], opts \\\\ []) do\n    request(:get, conn_or_token, path, nil, headers, opts)\n  end\n\n  @spec post(Plug.Conn.t(), path, Client.body(), Client.headers(), Keyword.t()) :: oauth2_response\n  def post(%Plug.Conn{} = conn, path, body \\\\ \"\", headers \\\\ [], opts \\\\ []) do\n    headers = default_content_type(headers)\n\n    request(:post, conn, path, body, headers, opts)\n  end\n\n  @spec put(Plug.Conn.t(), path, Client.body(), Client.headers(), Keyword.t()) :: oauth2_response\n  def put(%Plug.Conn{} = conn, path, body \\\\ \"\", headers \\\\ [], opts \\\\ []) do\n    headers = default_content_type(headers)\n\n    request(:put, conn, path, body, headers, opts)\n  end\n\n  @spec delete(Plug.Conn.t(), path, Client.headers(), Keyword.t()) :: oauth2_response\n  def delete(%Plug.Conn{} = conn, path, headers \\\\ [], opts \\\\ []) do\n    headers = default_content_type(headers)\n\n    :delete\n    |> request(conn, path, nil, headers, opts)\n  end\n\n  # credo:disable-for-lines:9\n  @doc \"\"\"\n  We disable for now the credo test because the arity is to high\n  TODO: add a Transport.Request module to lower the arity and make this\n  module clearer\n  \"\"\"\n  @spec request(atom, Plug.Conn.t() | OAuth2.AccessToken.t(), path, Client.body(), Client.headers(), Keyword.t()) ::\n          oauth2_response\n  def request(method, conn_or_token, path, body, headers, opts) do\n    client = get_client(conn_or_token)\n    url = process_url(path)\n    # See Hackney options\n    # https://github.com/benoitc/hackney/blob/master/doc/hackney.md\n    opts = Keyword.put_new(opts, :recv_timeout, 15_000)\n    opts = Keyword.put_new(opts, :follow_redirect, true)\n    Logger.debug(fn -> \"Request to: #{path}\" end)\n    Logger.debug(fn -> \"Body: #{inspect(body)}\" end)\n    Logger.debug(fn -> \"Headers: #{inspect(headers)}\" end)\n    Logger.debug(fn -> \"Options: #{inspect(opts)}\" end)\n\n    method\n    |> Request.request(client, url, body, headers, opts)\n    |> post_process()\n  end\n\n  @spec get_client(Plug.Conn.t()) :: OAuth2.Client.t()\n  def get_client(%Plug.Conn{} = conn) do\n    conn.assigns\n    |> Map.get(:datagouv_token, nil)\n    |> Authentication.client()\n  end\n\n  @spec get_client(OAuth2.AccessToken.t()) :: OAuth2.Client.t()\n  def get_client(%OAuth2.AccessToken{} = token), do: Authentication.client(token)\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/client/organization.ex",
    "content": "defmodule Datagouvfr.Client.Organization.Wrapper do\n  @moduledoc \"\"\"\n  A Wrapper to get Organization from data.gouv.fr API (or mock it for tests)\n  \"\"\"\n  @callback get(binary(), keyword()) :: {:ok, map()} | {:error, map()}\n  @callback get(binary()) :: {:ok, map()} | {:error, map()}\n  def get(id, opts), do: impl().get(id, opts)\n  def get(id), do: impl().get(id)\n\n  defp impl, do: Application.get_env(:transport, :organization_impl)\nend\n\ndefmodule Datagouvfr.Client.Organization do\n  @moduledoc \"\"\"\n  Implementation of data.gouv.fr API for Organization, see doc: https://doc.data.gouv.fr/api/reference/#/organizations\n  \"\"\"\n  @behaviour Datagouvfr.Client.Organization.Wrapper\n  @endpoint \"organizations\"\n  alias Datagouvfr.Client.API\n\n  @doc \"\"\"\n  Call to GET /api/1/organizations/:id/\n  \"\"\"\n  @impl true\n  def get(id, opts \\\\ []) do\n    opts = Keyword.validate!(opts, restrict_fields: false)\n    headers = if opts[:restrict_fields], do: [{\"x-fields\", \"{logo_thumbnail,members{user{id}}}\"}], else: []\n\n    @endpoint\n    |> Path.join(id)\n    |> API.get(headers)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/client/resources.ex",
    "content": "defmodule Datagouvfr.Client.Resources do\n  @moduledoc \"\"\"\n  A wrapper to get resources from data.gouv.fr API (or mock it for tests)\n  See https://doc.data.gouv.fr/api/reference/#/datasets\n  \"\"\"\n\n  @doc \"\"\"\n  Update a file, without using the OAuth client, to update\n  files published by the PAN org on data.gouv.fr.\n  \"\"\"\n  @callback update(map) :: Datagouvfr.Client.API.response() | nil\n  def update(map), do: impl().update(map)\n\n  @doc \"\"\"\n  Different update cases, see the real API module for more details\n  \"\"\"\n  @callback update(Plug.Conn.t(), map) :: Datagouvfr.Client.OAuth.oauth2_response() | nil\n  def update(conn, map), do: impl().update(conn, map)\n\n  @callback get(map) :: map\n  def get(%{\"resource_id\" => _id} = params), do: impl().get(params)\n\n  def get(_), do: %{}\n\n  @callback delete(Plug.Conn.t(), map) :: Datagouvfr.Client.OAuth.oauth2_response()\n  def delete(%Plug.Conn{} = conn, %{\"dataset_id\" => _, \"resource_id\" => _} = params), do: impl().delete(conn, params)\n\n  def impl, do: Application.get_env(:transport, :resources_impl)\nend\n\ndefmodule Datagouvfr.Client.Resources.External do\n  @moduledoc \"\"\"\n  Abstraction of data.gouv.fr resource\n  See https://doc.data.gouv.fr/api/reference/#/datasets for reference\n  \"\"\"\n  alias Datagouvfr.Client.API\n  alias Datagouvfr.Client.OAuth, as: Client\n\n  @behaviour Datagouvfr.Client.Resources\n\n  @format_to_mime %{\n    \"GTFS\" => \"application/zip\",\n    \"NeTEx\" => \"application/zip\"\n  }\n  @fields [\"url\", \"format\", \"title\", \"filetype\"]\n\n  @doc \"\"\"\n  Update a file, without using the OAuth client, to update\n  files published by the PAN org on data.gouv.fr.\n  \"\"\"\n  def update(\n        %{\"resource_file\" => %{filename: filename, path: filepath}, \"dataset_id\" => _, \"resource_id\" => _} = params\n      ) do\n    API.post(\n      make_path(params, [\"upload\"]),\n      multipart_upload(filepath, filename),\n      [{\"content-type\", \"multipart/form-data\"}, API.api_key_headers()]\n    )\n  end\n\n  # Update function #1\n  # For a resource having an uploaded file.\n  # It can be an existing resource update or a new resource\n  # After this function, the update function #2 is called\n  # data.gouv.fr calls made here:\n  # * POST on /datasets/{dataset}/resources/ => creates a new resource for the given dataset\n  #                                             if the resource source is a remote file\n  # * POST on /datasets/{dataset}/resources/{rid}/upload/ => upload a new file for the given existing resource\n  @spec update(Plug.Conn.t(), map) :: Client.oauth2_response() | nil\n  def update(conn, %{\"resource_file\" => _file} = params) do\n    case upload_query(conn, params) do\n      {:ok, %{\"id\" => r_id}} ->\n        new_params =\n          params\n          |> Map.drop([\"resource_file\"])\n          |> Map.put(\"resource_id\", r_id)\n          |> Map.put(\"filetype\", \"file\")\n\n        update(conn, new_params)\n\n      error ->\n        error\n    end\n  end\n\n  # Update function #2\n  # Updates the informations about an existing resource (file or url)\n  # data.gouv.fr calls made here:\n  # * PUT on /datasets/{dataset}/resources/{rid}/ => updates the information about the given resource\n  def update(conn, %{\"resource_id\" => _} = params) do\n    params\n    |> Map.take(@fields)\n    |> Enum.filter(fn {_k, v} -> v != \"\" end)\n    |> Map.new()\n    |> case do\n      params when map_size(params) == 0 ->\n        {:ok, \"resource already up-to-date\"}\n\n      filtered_params ->\n        payload =\n          params\n          |> get()\n          |> Map.merge(filtered_params)\n          |> Map.put_new(\"filetype\", \"remote\")\n          |> put_mime(params)\n\n        Client.put(conn, make_path(params), payload)\n    end\n  end\n\n  # Update function #3\n  # Creates a new resource with a remote url\n  # data.gouv.fr calls made here:\n  # * POST on /datasets/{dataset}/upload/ => creates a new resource for the given dataset\n  #                                          if the resource is an uploaded file\n  def update(conn, %{\"url\" => _url, \"dataset_id\" => dataset_id} = params) do\n    payload =\n      params\n      |> Map.take(@fields)\n      |> Enum.filter(fn {_k, v} -> v != \"\" end)\n      |> Map.new()\n      |> Map.put(\"filetype\", \"remote\")\n      |> put_mime(params)\n\n    Client.post(\n      conn,\n      \"/datasets/#{dataset_id}/resources/\",\n      payload\n    )\n  end\n\n  @spec get(map) :: map\n  def get(%{\"resource_id\" => _id} = params) do\n    params\n    |> make_path()\n    |> API.get()\n    |> case do\n      {:ok, resource} -> resource |> Map.take(@fields)\n      _ -> %{}\n    end\n  end\n\n  def delete(%Plug.Conn{} = conn, %{\"dataset_id\" => _, \"resource_id\" => _} = params) do\n    Client.delete(conn, make_path(params))\n  end\n\n  @spec put_mime(map(), map()) :: map()\n  defp put_mime(payload, params) do\n    if Map.has_key?(@format_to_mime, params[\"format\"]) do\n      Map.put(payload, \"mime\", @format_to_mime[params[\"format\"]])\n    else\n      payload\n    end\n  end\n\n  @spec upload_query(Plug.Conn.t(), map()) :: Client.oauth2_response()\n  defp upload_query(conn, %{\"resource_file\" => %{path: filepath, filename: filename}} = params) do\n    Client.post(\n      conn,\n      make_path(params, [\"upload\"]),\n      multipart_upload(filepath, filename),\n      [{\"content-type\", \"multipart/form-data\"}]\n    )\n  end\n\n  defp upload_query(_conn, _), do: {:error, \"no file to upload\"}\n\n  @spec make_path(map(), [binary()]) :: binary()\n  defp make_path(params, suffix \\\\ [])\n\n  defp make_path(%{\"dataset_id\" => d_id, \"resource_id\" => r_id}, suffix),\n    do: Path.join([\"datasets\", d_id, \"resources\", r_id] ++ suffix)\n\n  defp make_path(%{\"dataset_id\" => d_id}, suffix), do: Path.join([\"datasets\", d_id] ++ suffix)\n\n  defp multipart_upload(filepath, filename) do\n    # Found here how to properly upload the file: https://github.com/edgurgel/httpoison/issues/237\n    # (the underlying lib is the same: hackney)\n    {:multipart,\n     [\n       {:file, filepath, {\"form-data\", [{:name, \"file\"}, {:filename, remove_special_characters(filename)}]}, []}\n     ]}\n  end\n\n  @doc \"\"\"\n  iex> remove_special_characters(\"cédille\")\n  \"cedille\"\n  iex> remove_special_characters(\"Hello\")\n  \"Hello\"\n  iex> remove_special_characters(\"Hello  world\\t\")\n  \"Hello_world\"\n  iex> remove_special_characters(\"Hello world\")\n  \"Hello_world\"\n  iex> remove_special_characters(\"Hello world (1).zip\")\n  \"Hello_world_1.zip\"\n  \"\"\"\n  def remove_special_characters(value) do\n    value\n    |> String.trim()\n    |> String.normalize(:nfd)\n    |> String.replace(~r/\\p{M}/u, \"\")\n    |> String.replace(~r/(\\s)+/, \"_\")\n    |> String.replace(~r/[^a-zA-Z0-9_.]/, \"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/client/reuses.ex",
    "content": "defmodule Datagouvfr.Client.Reuses.Wrapper do\n  @moduledoc \"\"\"\n  Behavior for Datagouvfr Reuses\n  \"\"\"\n  @callback get(map()) :: {:ok, list()} | {:error, binary()}\n\n  def impl, do: Application.fetch_env!(:transport, :datagouvfr_reuses)\n\n  def get(dataset), do: impl().get(dataset)\nend\n\ndefmodule Datagouvfr.Client.Reuses.Dummy do\n  @moduledoc \"\"\"\n  Dummy reuses, outputing empty list\n  \"\"\"\n  @behaviour Datagouvfr.Client.Reuses.Wrapper\n\n  @impl true\n  def get(_), do: {:ok, []}\nend\n\ndefmodule Datagouvfr.Client.Reuses do\n  @moduledoc \"\"\"\n  A client to manipulate https://www.data.gouv.fr/api/1/reuses endpoints\n  \"\"\"\n  alias Datagouvfr.Client.API, as: Client\n  require Logger\n  @behaviour Datagouvfr.Client.Reuses.Wrapper\n\n  @endpoint \"reuses\"\n\n  @impl true\n  def get(%{datagouv_id: dataset_id}) do\n    case Client.get(@endpoint, [], params: %{dataset: dataset_id}) do\n      {:ok, %{\"data\" => data}} ->\n        {:ok, Enum.map(data, &add_name/1)}\n\n      {:error, body} when is_map(body) ->\n        {:error, \"Unable to get reuses of dataset #{dataset_id} because of #{inspect(body)}\"}\n\n      {:error, %Jason.DecodeError{}} ->\n        {:error, \"Unable to get reuses of dataset #{dataset_id} could not decode JSON\"}\n    end\n  end\n\n  @spec add_name(map()) :: map()\n  defp add_name(%{\"owner\" => nil} = reuse), do: reuse |> Map.put(\"owner\", %{}) |> add_name\n  defp add_name(reuse), do: put_in(reuse, [\"owner\", \"name\"], get_name(reuse))\n\n  @spec get_name(map()) :: binary()\n  defp get_name(%{\"owner\" => %{\"name\" => name}}), do: name\n  defp get_name(%{\"organization\" => %{\"name\" => name}}), do: name\n  defp get_name(%{\"owner\" => %{\"first_name\" => f_n, \"last_name\" => l_n}}), do: f_n <> \" \" <> l_n\n  defp get_name(reuse), do: reuse\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/client/user.ex",
    "content": "defmodule Datagouvfr.Client.User.Wrapper do\n  @moduledoc \"\"\"\n  A wrapper for the User module, useful for testing purposes\n  \"\"\"\n  @callback me(Plug.Conn.t() | OAuth2.AccessToken.t()) :: {:error, map()} | {:ok, map()}\n\n  def impl, do: Application.get_env(:transport, :user_impl)\nend\n\ndefmodule Datagouvfr.Client.User.Dummy do\n  @moduledoc \"\"\"\n  A dummy User, to avoid any communication with the Oauth Server.\n  \"\"\"\n  @behaviour Datagouvfr.Client.User.Wrapper\n\n  @impl Datagouvfr.Client.User.Wrapper\n  def me(_),\n    do:\n      {:ok,\n       %{\n         \"first_name\" => \"trotro\",\n         \"last_name\" => \"rigolo\",\n         \"id\" => \"user_id_1\",\n         \"email\" => \"email@example.fr\",\n         \"organizations\" => [\n           %{\n             \"slug\" => \"equipe-transport-data-gouv-fr\",\n             \"name\" => \"PAN\",\n             \"badges\" => [],\n             \"id\" => \"5abca8d588ee386ee6ece479\",\n             \"logo\" => \"https://example.com/pic.jpg\",\n             \"logo_thumbnail\" => \"https://example.com/pic.small.jpg\"\n           }\n         ]\n       }}\nend\n\ndefmodule Datagouvfr.Client.User do\n  @moduledoc \"\"\"\n  An Client to retrieve User information of data.gouv.fr\n  \"\"\"\n  alias Datagouvfr.Client.API\n  alias Datagouvfr.Client.OAuth, as: Client\n\n  @me_fields ~w(avatar avatar_thumbnail first_name id last_name\n                organizations page id uri apikey email)\n\n  @doc \"\"\"\n  Call to GET /api/1/me/\n  You can see documentation here: https://doc.data.gouv.fr/api/reference/#/me/\n  \"\"\"\n  @spec me(Plug.Conn.t() | OAuth2.AccessToken.t(), [binary()]) ::\n          {:error, OAuth2.Error.t()} | {:ok, OAuth2.Response.t()}\n  def me(conn_or_token, exclude_fields \\\\ []) do\n    Client.get(conn_or_token, \"me\", [{\"x-fields\", xfields(exclude_fields)}])\n  end\n\n  @doc \"\"\"\n  Call to GET /api/1/users/:id/\n  You can see documentation here: https://www.data.gouv.fr/fr/apidoc/#!/users/get_user\n  \"\"\"\n  @spec get(String.t()) :: {atom, any}\n  def get(id) do\n    \"users\" |> Path.join(id) |> API.get()\n  end\n\n  # private functions\n\n  @spec xfields([binary()]) :: binary()\n  defp xfields(exclude_fields) do\n    @me_fields\n    |> Enum.filter(&(Enum.member?(exclude_fields, &1) == false))\n    |> Enum.join(\",\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/datagouvfr/client.ex",
    "content": "defmodule Datagouvfr.Client do\n  @moduledoc \"\"\"\n  An API client for data.gouv.fr\n  \"\"\"\n\n  defmacro __using__([]) do\n    quote do\n      require Logger\n\n      @type path :: list(binary()) | binary\n\n      @spec base_url :: binary\n      def base_url, do: :transport |> Application.fetch_env!(:datagouvfr_site) |> Path.join(\"/api/1/\")\n\n      @spec process_url(path) :: String.t()\n      def process_url(path) when is_list(path), do: path |> Path.join() |> process_url()\n\n      def process_url(path) when is_binary(path) do\n        base_url()\n        |> Path.join(path)\n        |> URI.parse()\n        |> add_trailing_slash\n      end\n\n      @spec post_process({:error, any} | {:ok, %{body: any, status_code: any}}) ::\n              {:error, any} | {:ok, any}\n      def post_process(response) do\n        Logger.debug(fn -> \"response: #{inspect(response)}\" end)\n\n        case response do\n          {:ok, %{status_code: status_code, body: body}} when status_code in [200, 201, 202, 204] ->\n            {:ok, body}\n\n          {:ok, %{status_code: 404}} ->\n            {:error, :not_found}\n\n          {:ok, %{status_code: 410}} ->\n            {:error, :gone}\n\n          {:ok, %{status_code: status_code, body: body} = resp} ->\n            maybe_report_error(resp)\n            {:error, body}\n\n          {:error, error} ->\n            {:error, error}\n        end\n      end\n\n      # private\n      defp maybe_report_error(%HTTPoison.Response{status_code: status_code, body: body, request_url: url} = response)\n           when status_code >= 400 and status_code < 500 and status_code != 404 do\n        Sentry.capture_message(\"datagouv error: #{status_code} on #{url}\",\n          extra: %{request: response.request, body: body, headers: response.headers}\n        )\n      end\n\n      defp maybe_report_error(%OAuth2.Response{status_code: status_code, body: body, headers: headers})\n           when status_code >= 400 and status_code < 500 and status_code != 404 do\n        Sentry.capture_message(\"datagouv OAuth2 error: #{status_code}\",\n          extra: %{body: body, headers: headers}\n        )\n      end\n\n      defp maybe_report_error(_response), do: :ok\n\n      @spec add_trailing_slash(map() | path) :: binary()\n      defp add_trailing_slash(uri) when is_map(uri) do\n        %{uri | path: add_trailing_slash(uri.path)}\n        |> to_string\n      end\n\n      defp add_trailing_slash(path) do\n        case path |> String.slice(-1..-1) do\n          \"/\" -> path\n          _ -> path <> \"/\"\n        end\n      end\n\n      @spec default_content_type([{binary(), binary()}]) :: [{binary(), binary()}]\n      defp default_content_type(headers) do\n        case Enum.any?(headers, &content_type?(&1)) do\n          true -> headers\n          false -> [{\"content-type\", \"application/json\"} | headers]\n        end\n      end\n\n      @spec content_type?({binary(), binary()}) :: boolean\n      defp content_type?(header) do\n        header\n        |> elem(0)\n        |> String.downcase()\n        |> Kernel.==(\"content-type\")\n      end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/administrative_division.ex",
    "content": "defmodule DB.AdministrativeDivision do\n  @moduledoc \"\"\"\n  AdministrativeDivision schema.\n\n  This concept is used to represent various levels of divisions of the French territory:\n  - Communes\n  - Departments\n  - Regions\n  - [EPCIs](https://fr.wikipedia.org/wiki/Établissement_public_de_coopération_intercommunale)\n  - The whole country itself\n  - (more could actually be added here)\n\n  Unlike pre-existing concepts (`DB.Commune`/`DB.Region`/`DB.EPCI`), `DB.AdministrativeDivision` does not currently\n  include relationships between the various entities.\n\n  At the moment, data is replicated & denormalised from the `commune`, `epci`, `departement` and `region` tables.\n  This is done to simplify the queries and the data model for some use cases: search, link to dataset, etc.\n\n  Other approaches were considered (such as using a materialized view, leveraging the existing separate tables).\n  For example, a materialized view would not allow us to use foreign keys, which is important for data integrity.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n  use Gettext, backend: TransportWeb.Gettext\n\n  @types ~w(commune departement epci region pays)a\n\n  typed_schema \"administrative_division\" do\n    # type_insee is a unique meaningful identifier, e.g. \"commune_75056\" for Paris\n    field(:type_insee, :string)\n\n    field(:insee, :string)\n\n    field(:type, Ecto.Enum,\n      values: @types,\n      null: false\n    )\n\n    field(:nom, :string)\n    field(:geom, Geo.PostGIS.Geometry, load_in_query: false) :: Geo.MultiPolygon.t()\n    field(:population, :integer)\n  end\n\n  # NOTE: we could infer the type_insee from other fields if needed?\n  @cast_attributes [\n    :insee,\n    :type,\n    :type_insee,\n    :nom,\n    :geom,\n    :population\n  ]\n\n  def changeset(administrative_division, attrs) do\n    administrative_division\n    |> cast(attrs, @cast_attributes)\n    |> validate_required(@cast_attributes)\n    |> validate_inclusion(:type, @types)\n    |> validate_type_insee_is_consistent()\n  end\n\n  def validate_type_insee_is_consistent(changeset) do\n    type_insee = get_field(changeset, :type_insee)\n    type = get_field(changeset, :type)\n    insee = get_field(changeset, :insee)\n\n    if type_insee && type && insee && \"#{type}_#{insee}\" == type_insee do\n      changeset\n    else\n      add_error(changeset, :type_insee, \"is not consistent with type and insee\")\n    end\n  end\n\n  @doc \"\"\"\n  Used for search, quick example use:\n\n  iex> insert(:administrative_division, nom: \"FouDouFaFa\")\n  iex> (search(load_searchable_administrative_divisions(), \"fou\") |> hd()).nom\n  \"FouDouFaFa\"\n  \"\"\"\n  def load_searchable_administrative_divisions do\n    Transport.SearchCommunes.load_administrative_divisions()\n  end\n\n  def search(territoires, term) do\n    Transport.SearchCommunes.filter(territoires, term)\n  end\n\n  @doc \"\"\"\n  iex> departement = %DB.AdministrativeDivision{type: :departement, nom: \"B\"}\n  iex> commune = %DB.AdministrativeDivision{type: :commune, nom: \"A\"}\n  iex> names([commune, departement])\n  \"B, A\"\n  \"\"\"\n  @spec names([__MODULE__.t()]) :: binary()\n  def names(territories) do\n    territories |> sorted() |> Enum.map_join(\", \", & &1.nom)\n  end\n\n  @doc \"\"\"\n  iex> departement = %DB.AdministrativeDivision{type: :departement, nom: \"B\"}\n  iex> departement_a = %DB.AdministrativeDivision{type: :departement, nom: \"A\"}\n  iex> commune = %DB.AdministrativeDivision{type: :commune, nom: \"A\"}\n  iex> sorted([commune, departement])\n  [departement, commune]\n  iex> sorted([departement, departement_a])\n  [departement_a, departement]\n  \"\"\"\n  @spec sorted([__MODULE__.t()]) :: [__MODULE__.t()]\n  def sorted(territories) do\n    mapper = fn %DB.AdministrativeDivision{type: type, nom: nom} ->\n      type =\n        Map.fetch!(\n          %{\n            commune: 5,\n            departement: 3,\n            epci: 4,\n            pays: 1,\n            region: 2\n          },\n          type\n        )\n\n      \"#{type}-#{nom}\"\n    end\n\n    Enum.sort_by(territories, mapper, :asc)\n  end\n\n  def display_type(%DB.AdministrativeDivision{type: :commune}), do: dgettext(\"administrative_division\", \"municipality\")\n\n  def display_type(%DB.AdministrativeDivision{type: :departement}),\n    do: dgettext(\"administrative_division\", \"department\")\n\n  def display_type(%DB.AdministrativeDivision{type: :epci}), do: dgettext(\"administrative_division\", \"EPCI\")\n  def display_type(%DB.AdministrativeDivision{type: :region}), do: dgettext(\"administrative_division\", \"region\")\n  def display_type(%DB.AdministrativeDivision{type: :pays}), do: dgettext(\"administrative_division\", \"country\")\nend\n"
  },
  {
    "path": "apps/transport/lib/db/aom.ex",
    "content": "defmodule DB.AOM do\n  @moduledoc \"\"\"\n  AOM schema\n\n  There's a trigger on postgres on updates, it force an update of dataset\n  in order to have an up-to-date search vector\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  alias DB.{Dataset, Departement, Region, Repo}\n  alias Geo.MultiPolygon\n\n  typed_schema \"aom\" do\n    field(:insee_commune_principale, :string)\n    field(:siren, :string)\n    field(:nom, :string)\n    field(:forme_juridique, :string)\n    field(:nombre_communes, :integer)\n    field(:population, :integer)\n    field(:surface, :string)\n    field(:geom, Geo.PostGIS.Geometry, load_in_query: false) :: MultiPolygon.t()\n\n    belongs_to(:region, Region)\n    belongs_to(:departement_object, Departement, foreign_key: :departement, references: :insee, type: :string)\n\n    many_to_many(:legal_owners_dataset, Dataset, join_through: \"dataset_aom_legal_owner\")\n  end\n\n  @spec get(insee_commune_principale: binary()) :: __MODULE__ | nil\n  def get(insee_commune_principale: nil), do: nil\n  def get(insee_commune_principale: insee), do: Repo.get_by(AOM, insee_commune_principale: insee)\nend\n"
  },
  {
    "path": "apps/transport/lib/db/api_request.ex",
    "content": "defmodule DB.APIRequest do\n  @moduledoc \"\"\"\n  Represents a HTTP request made to the API.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  @primary_key false\n\n  typed_schema \"api_request\" do\n    field(:time, :utc_datetime_usec)\n    field(:method, :string)\n    field(:path, :string)\n    belongs_to(:token, DB.Token)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/autocomplete.ex",
    "content": "defmodule DB.Autocomplete do\n  @moduledoc \"\"\"\n  Autocomplete schema\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  @primary_key false\n  typed_schema \"autocomplete\" do\n    field(:nom, :string)\n    field(:type, :string)\n    field(:place_id, :string)\n    field(:indexed_name, :string)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/breaking_news.ex",
    "content": "defmodule DB.BreakingNews do\n  @moduledoc \"\"\"\n  Store a message to be displayed on the site home page.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.{Changeset, Query}\n\n  typed_schema \"breaking_news\" do\n    field(:level, Ecto.Enum, values: [:info, :error])\n    field(:msg, :string)\n  end\n\n  @spec get_breaking_news :: %{optional(:level) => any, optional(:msg) => any}\n  def get_breaking_news do\n    DB.BreakingNews\n    |> limit(1)\n    |> DB.Repo.one()\n    |> case do\n      nil -> %{}\n      %{level: level, msg: msg} -> %{level: level, msg: msg}\n    end\n  end\n\n  @spec set_breaking_news(map()) :: {:ok, any()} | {:error, any()}\n  def set_breaking_news(%{msg: \"\"}) do\n    DB.BreakingNews |> DB.Repo.delete_all()\n    {:ok, \"message deleted\"}\n  end\n\n  def set_breaking_news(%{level: level, msg: msg}) do\n    DB.BreakingNews |> DB.Repo.delete_all()\n\n    %DB.BreakingNews{} |> change(%{level: String.to_existing_atom(level), msg: msg}) |> DB.Repo.insert()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/commune.ex",
    "content": "defmodule DB.Commune do\n  @moduledoc \"\"\"\n  Commune schema\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  alias Geo.MultiPolygon\n\n  typed_schema \"commune\" do\n    field(:insee, :string)\n    field(:nom, :string)\n    field(:surf_ha, :float)\n    field(:geom, Geo.PostGIS.Geometry, load_in_query: false) :: MultiPolygon.t()\n    field(:population, :integer)\n    field(:siren, :string)\n    field(:arrondissement_insee, :string)\n\n    belongs_to(:region, DB.Region)\n    belongs_to(:departement, DB.Departement, foreign_key: :departement_insee, references: :insee, type: :string)\n    belongs_to(:epci, DB.EPCI, foreign_key: :epci_insee, references: :insee, type: :string)\n    belongs_to(:aom, DB.AOM, foreign_key: :aom_siren, references: :siren, type: :string)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/company.ex",
    "content": "defmodule DB.Company do\n  @moduledoc \"\"\"\n  Represents a French company identified by its SIREN number.\n  Data is fetched from the \"Recherche d'entreprises API\".\n  See `Transport.Companies`.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n\n  @primary_key {:siren, :string, []}\n\n  typed_schema \"company\" do\n    field(:nom_complet, :string)\n    field(:nom_raison_sociale, :string)\n    field(:sigle, :string)\n    field(:date_mise_a_jour_rne, :date)\n    field(:siege_adresse, :string)\n    field(:siege_latitude, :float)\n    field(:siege_longitude, :float)\n    field(:collectivite_territoriale, :map)\n    field(:est_service_public, :boolean)\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  @fields [\n    :siren,\n    :nom_complet,\n    :nom_raison_sociale,\n    :sigle,\n    :date_mise_a_jour_rne,\n    :siege_adresse,\n    :siege_latitude,\n    :siege_longitude,\n    :collectivite_territoriale,\n    :est_service_public\n  ]\n\n  def changeset(struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, @fields)\n    |> validate_required([:siren])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/contact.ex",
    "content": "defmodule DB.Contact do\n  @moduledoc \"\"\"\n  Represents a contact/user\n  A contact is created or updated each time a user logs in, see session controller.\n  Update through session controller includes the last login date and the organizations the user is part of.\n  Transport.Jobs.UpdateContactsJob also updates regularly the contacts.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.{Changeset, Query}\n\n  @default_phone_number_region \"FR\"\n  @default_org_name \"Inconnue\"\n\n  typed_schema \"contact\" do\n    # Use `first_name` and `last_name` for real humans\n    field(:first_name, :string)\n    field(:last_name, :string)\n    # Use `mailing_list_title` for mailing lists and similar\n    field(:mailing_list_title, :string)\n    field(:datagouv_user_id, :string)\n\n    field(:organization, :string)\n    field(:job_title, :string)\n    field(:email, DB.Encrypted.Binary)\n    # Should be used to search rows matching an email address\n    # https://hexdocs.pm/cloak_ecto/install.html#usage\n    field(:email_hash, Cloak.Ecto.SHA256)\n    field(:phone_number, DB.Encrypted.Binary)\n    field(:secondary_phone_number, DB.Encrypted.Binary)\n    field(:last_login_at, :utc_datetime_usec)\n    field(:locale, :string)\n\n    field(:creation_source, Ecto.Enum,\n      values: [\n        :\"automation:import_contact_point\",\n        :\"automation:import_gbfs_feed_contact_email\",\n        :admin,\n        :datagouv_oauth_login\n      ]\n    )\n\n    timestamps(type: :utc_datetime_usec)\n\n    has_many(:notification_subscriptions, DB.NotificationSubscription, on_delete: :delete_all)\n    many_to_many(:organizations, DB.Organization, join_through: \"contacts_organizations\", on_replace: :delete)\n    many_to_many(:followed_datasets, DB.Dataset, join_through: \"dataset_followers\", on_replace: :delete)\n    has_many(:user_feedbacks, DB.UserFeedback, on_delete: :nilify_all)\n    # This fetches both purely personal tokens (the ones with a `contact_id` matching the parent\n    # but without an `organization_id`) and tokens linked to an organization, but associated to the\n    # current contact as \"admin\".\n    has_many(:tokens, DB.Token, on_delete: :nilify_all)\n    # Defined as a `many_to_many` in the database but a contact can only have **1** default token\n    many_to_many(:default_tokens, DB.Token, join_through: \"default_token\")\n  end\n\n  def base_query, do: from(c in __MODULE__, as: :contact)\n\n  def search(%{\"q\" => q}) do\n    ilike_search = \"%#{safe_like_pattern(q)}%\"\n\n    base_query()\n    |> where([contact: c], ilike(c.organization, ^ilike_search))\n    |> or_where([contact: c], fragment(\"unaccent(?) ilike unaccent(?)\", c.last_name, ^ilike_search))\n    |> or_where(\n      [contact: c],\n      fragment(\n        \"to_tsvector('custom_french', concat(?, ' ', ?, ' ', ?)) @@  plainto_tsquery('custom_french', ?)\",\n        c.first_name,\n        c.last_name,\n        c.mailing_list_title,\n        ^q\n      )\n    )\n  end\n\n  def search(%{}), do: base_query()\n\n  @doc \"\"\"\n  Make sure a string that will be passed to `like` or `ilike` is safe.\n\n  See https://elixirforum.com/t/secure-ecto-like-queries/31265\n  iex> safe_like_pattern(\"I love %like_injections%\\\\!\")\n  \"I love likeinjections!\"\n  \"\"\"\n  def safe_like_pattern(value) do\n    String.replace(value, [\"\\\\\", \"%\", \"_\"], \"\")\n  end\n\n  def insert!(%{} = fields), do: %__MODULE__{} |> changeset(fields) |> DB.Repo.insert!()\n\n  @doc \"\"\"\n  iex> display_name(%DB.Contact{first_name: \"John\", last_name: \"Doe\", mailing_list_title: nil})\n  \"John Doe\"\n  iex> display_name(%DB.Contact{first_name: nil, last_name: nil, mailing_list_title: \"Service SIG\"})\n  \"Service SIG\"\n  \"\"\"\n  def display_name(%__MODULE__{first_name: first_name, last_name: last_name, mailing_list_title: title} = object) do\n    cond do\n      human?(object) -> \"#{first_name} #{last_name}\"\n      mailing_list?(object) -> title\n    end\n  end\n\n  @doc \"\"\"\n  iex> human?(%DB.Contact{first_name: \"John\", last_name: \"Doe\", mailing_list_title: nil})\n  true\n  iex> human?(%DB.Contact{first_name: nil, last_name: nil, mailing_list_title: \"Service SIG\"})\n  false\n  \"\"\"\n  def human?(%__MODULE__{mailing_list_title: title}), do: is_nil(title)\n\n  @doc \"\"\"\n  iex> mailing_list?(%DB.Contact{first_name: \"John\", last_name: \"Doe\", mailing_list_title: nil})\n  false\n  iex> mailing_list?(%DB.Contact{first_name: nil, last_name: nil, mailing_list_title: \"Service SIG\"})\n  true\n  \"\"\"\n  def mailing_list?(%__MODULE__{} = object), do: !human?(object)\n\n  def changeset(struct, attrs \\\\ %{}) do\n    struct\n    |> DB.Repo.preload([:organizations])\n    |> cast(attrs, [\n      :first_name,\n      :last_name,\n      :mailing_list_title,\n      :organization,\n      :job_title,\n      :email,\n      :phone_number,\n      :secondary_phone_number,\n      :datagouv_user_id,\n      :last_login_at,\n      :creation_source\n    ])\n    |> trim_fields([:first_name, :last_name, :organization, :job_title])\n    |> capitalize_fields([:first_name, :last_name])\n    |> validate_required([:email, :creation_source])\n    |> validate_format(:email, ~r/@/)\n    |> validate_names_or_mailing_list_title()\n    |> cast_phone_numbers()\n    |> lowercase_email()\n    |> put_hashed_fields()\n    |> unique_constraint(:email_hash, error_key: :email, name: :contact_email_hash_index)\n    |> save_organizations(attrs)\n    |> cast_organization()\n  end\n\n  defp save_organizations(%Ecto.Changeset{} = changeset, %{} = attrs)\n       when is_map_key(attrs, \"organizations\") or is_map_key(attrs, :organizations) do\n    # Update organizations only when the key is present in the changes.\n    # Passing an empty list would delete all orgs for the contact\n    changeset\n    |> put_assoc(:organizations, attrs |> organizations() |> Enum.map(&DB.Organization.changeset(find_org(&1), &1)))\n  end\n\n  defp save_organizations(%Ecto.Changeset{} = changeset, %{}), do: changeset\n\n  defp cast_organization(%Ecto.Changeset{changes: changes} = changeset) when changes == %{}, do: changeset\n\n  defp cast_organization(%Ecto.Changeset{} = changeset) do\n    case {get_field(changeset, :organization), get_field(changeset, :organizations)} do\n      {value, _} when is_binary(value) and value != @default_org_name ->\n        put_change(changeset, :organization, value)\n\n      {_, orgs} when is_list(orgs) ->\n        put_change(changeset, :organization, organization_name(orgs))\n    end\n  end\n\n  @doc \"\"\"\n  The best organization name possible for a contact.\n\n  iex> organization_name([])\n  \"Inconnue\"\n  iex> organization_name([%DB.Organization{name: \"1\", badges: []}, %DB.Organization{name: \"2\", badges: []}])\n  \"1\"\n  iex> organization_name([%DB.Organization{name: \"1\", badges: []}, %DB.Organization{name: \"2\", badges: [%{\"kind\" => \"certified\"}]}])\n  \"2\"\n  \"\"\"\n  def organization_name([]), do: @default_org_name\n\n  def organization_name(orgs) do\n    certified_orgs =\n      Enum.filter(orgs, fn %DB.Organization{badges: badges} -> %{\"kind\" => \"certified\"} in badges end)\n\n    case certified_orgs do\n      [] -> orgs |> List.first() |> Map.fetch!(:name)\n      result -> result |> List.first() |> Map.fetch!(:name)\n    end\n  end\n\n  defp organizations(%{\"organizations\" => orgs}), do: orgs\n  defp organizations(%{organizations: orgs}), do: orgs\n\n  defp find_org(%{\"id\" => id}), do: DB.Repo.get(DB.Organization, id) || %DB.Organization{}\n  defp find_org(%{id: id}), do: DB.Repo.get(DB.Organization, id) || %DB.Organization{}\n  defp find_org(%{}), do: %DB.Organization{}\n\n  defp validate_names_or_mailing_list_title(%Ecto.Changeset{} = changeset) do\n    case Enum.map(~w(first_name last_name mailing_list_title)a, &get_field(changeset, &1)) do\n      [nil, nil, nil] ->\n        add_error(changeset, :first_name, \"You need to fill first_name and last_name OR mailing_list_title\")\n\n      [first_name, last_name, nil] when first_name != nil and last_name != nil ->\n        changeset\n\n      [nil, nil, title] when title != nil ->\n        changeset\n\n      _ ->\n        add_error(changeset, :first_name, \"You need to fill either first_name and last_name OR mailing_list_title\")\n    end\n  end\n\n  defp trim_fields(%Ecto.Changeset{} = changeset, fields) do\n    fields\n    |> Enum.reject(&(get_field(changeset, &1) == nil))\n    |> Enum.reduce(changeset, fn field, changeset -> update_change(changeset, field, &String.trim/1) end)\n  end\n\n  defp capitalize_fields(%Ecto.Changeset{} = changeset, fields) do\n    fields\n    |> Enum.reject(&(get_field(changeset, &1) == nil))\n    |> Enum.reduce(changeset, fn field, changeset -> update_change(changeset, field, &title_case/1) end)\n  end\n\n  @doc \"\"\"\n  iex> title_case(\"Antoine\")\n  \"Antoine\"\n  iex> title_case(\"antoine\")\n  \"Antoine\"\n  iex> title_case(\"jean marie\")\n  \"Jean Marie\"\n  iex> title_case(\"jean-marie\")\n  \"Jean-Marie\"\n  iex> title_case(\"Jean Marie\")\n  \"Jean Marie\"\n  iex> title_case(\"Mélo\")\n  \"Mélo\"\n  iex> title_case(\"\")\n  \"\"\n  \"\"\"\n  def title_case(string) do\n    string |> capitalize_per_word(\"-\") |> capitalize_per_word(\" \")\n  end\n\n  defp capitalize_per_word(string, split_join_char) do\n    string\n    |> String.split(split_join_char)\n    |> Enum.map_join(split_join_char, &uppercase_first/1)\n  end\n\n  defp uppercase_first(string) do\n    # Can't use `String.capitalize/2` because it lowercases the rest of the string\n    {first, rest} = String.split_at(string, 1)\n    String.upcase(first) <> rest\n  end\n\n  defp cast_phone_numbers(%Ecto.Changeset{} = changeset) do\n    ~w(phone_number secondary_phone_number)a\n    |> Enum.map_reduce(changeset, fn field, acc -> {nil, cast_phone_number(acc, field)} end)\n    |> elem(1)\n  end\n\n  defp cast_phone_number(%Ecto.Changeset{} = changeset, field) when is_atom(field) do\n    case get_field(changeset, field) do\n      nil ->\n        changeset\n\n      phone_number_value ->\n        case ExPhoneNumber.parse(phone_number_value, @default_phone_number_region) do\n          {:ok, phone_number} -> parse_phone_number(changeset, phone_number, field)\n          {:error, reason} -> add_error(changeset, field, reason)\n        end\n    end\n  end\n\n  defp parse_phone_number(%Ecto.Changeset{} = changeset, %ExPhoneNumber.Model.PhoneNumber{} = phone_number, field) do\n    cond do\n      not ExPhoneNumber.is_possible_number?(phone_number) ->\n        add_error(changeset, field, \"Phone number is not a possible number\")\n\n      not ExPhoneNumber.is_valid_number?(phone_number) ->\n        add_error(changeset, field, \"Phone number is not a valid number\")\n\n      true ->\n        put_change(changeset, field, ExPhoneNumber.format(phone_number, :e164))\n    end\n  end\n\n  defp lowercase_email(%Ecto.Changeset{} = changeset) do\n    update_change(changeset, :email, &String.downcase/1)\n  end\n\n  defp put_hashed_fields(%Ecto.Changeset{} = changeset) do\n    changeset |> put_change(:email_hash, get_field(changeset, :email))\n  end\n\n  @doc \"\"\"\n  A list of contact IDs for contacts who are members of the transport.data.gouv.fr's organization.\n\n  This list is cached because it is very stable over time and we need it for multiple\n  Oban jobs executed in parallel or one after another.\n  Used for now to exclude transport.data.gouv.fr members\n  when showing to a producer who are his fellow producers subscribed to notifications.\n  \"\"\"\n  @spec admin_contact_ids() :: [integer()]\n  def admin_contact_ids do\n    Transport.Cache.fetch(\n      to_string(__MODULE__) <> \":admin_contact_ids\",\n      fn -> Enum.map(admin_contacts(), & &1.id) end,\n      :timer.seconds(60)\n    )\n  end\n\n  @doc \"\"\"\n  A list of datagouv user IDs for contacts who are members of the transport.data.gouv.fr's organization.\n\n  This list is cached because it is very stable over time.\n  \"\"\"\n  @spec admin_datagouv_ids() :: [binary()]\n  def admin_datagouv_ids do\n    Transport.Cache.fetch(\n      to_string(__MODULE__) <> \":admin_datagouv_ids\",\n      fn -> Enum.map(admin_contacts(), & &1.datagouv_user_id) end,\n      :timer.minutes(60)\n    )\n  end\n\n  @doc \"\"\"\n  A list of datagouv user IDs for contacts who are members of the regulator's organization.\n\n  This list is cached because it is very stable over time.\n  \"\"\"\n  @spec regulator_datagouv_ids() :: [binary()]\n  def regulator_datagouv_ids do\n    Transport.Cache.fetch(\n      to_string(__MODULE__) <> \":regulator_datagouv_ids\",\n      fn -> Enum.map(regulator_contacts(), & &1.datagouv_user_id) end,\n      :timer.minutes(60)\n    )\n  end\n\n  @doc \"\"\"\n  Fetches `DB.Contact` who are members of the transport.data.gouv.fr's organization.\n  \"\"\"\n  @spec admin_contacts() :: [DB.Contact.t()]\n  def admin_contacts do\n    pan_org_name = Application.fetch_env!(:transport, :datagouvfr_transport_publisher_label)\n\n    DB.Organization.base_query()\n    |> preload(:contacts)\n    |> where([organization: o], o.name == ^pan_org_name)\n    |> DB.Repo.one!()\n    |> Map.fetch!(:contacts)\n  end\n\n  @doc \"\"\"\n  Fetches `DB.Contact` who are members of the regulator's organization.\n  \"\"\"\n  @spec regulator_contacts() :: [DB.Contact.t()]\n  def regulator_contacts do\n    art_organization_id = Application.fetch_env!(:transport, :datagouvfr_art_organization_id)\n\n    DB.Organization.base_query()\n    |> preload(:contacts)\n    |> where([organization: o], o.id == ^art_organization_id)\n    |> DB.Repo.one!()\n    |> Map.fetch!(:contacts)\n  end\n\n  @doc \"\"\"\n  Fetches `DB.Contact` that didn't log in since a given datetime.\n  \"\"\"\n  @spec list_inactive_contacts(DateTime.t()) :: [DB.Contact.t()]\n  def list_inactive_contacts(%DateTime{} = threshold) do\n    base_query()\n    |> where([contact: c], c.last_login_at < ^threshold)\n    |> order_by(asc: :last_login_at)\n    |> DB.Repo.all()\n  end\n\n  @doc \"\"\"\n  Delete `DB.Contact` that didn't log in since a given datetime.\n  \"\"\"\n  @spec delete_inactive_contacts(DateTime.t()) :: :ok\n  def delete_inactive_contacts(%DateTime{} = threshold) do\n    list_inactive_contacts(threshold) |> Enum.each(&DB.Repo.delete/1)\n  end\nend\n\n# See https://hexdocs.pm/swoosh/Swoosh.Email.Recipient.html\ndefimpl Swoosh.Email.Recipient, for: DB.Contact do\n  def format(%DB.Contact{email: email} = contact) do\n    {DB.Contact.display_name(contact), email}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/data_conversion.ex",
    "content": "defmodule DB.DataConversion do\n  @moduledoc \"\"\"\n  DataConversion stores metadata for data conversions from one format to another\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Query\n\n  typed_schema \"data_conversion\" do\n    field(:status, Ecto.Enum, values: [:created, :pending, :success, :failed, :timeout])\n    field(:converter, :string)\n    field(:converter_version, :string)\n    field(:convert_from, Ecto.Enum, values: [:GTFS, :NeTEx])\n    field(:convert_to, Ecto.Enum, values: [:GeoJSON, :NeTEx])\n    field(:resource_history_uuid, Ecto.UUID)\n    field(:payload, :map)\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def base_query, do: from(dc in DB.DataConversion, as: :data_conversion)\n\n  @doc \"\"\"\n  NeTEx is no longer supported as a target format but it's kept in the schema to support legacy data and the cleanup job.\n  \"\"\"\n  def available_conversion_formats,\n    do:\n      Ecto.Enum.values(DB.DataConversion, :convert_to)\n      |> Enum.reject(&(&1 == :NeTEx))\n\n  @doc \"\"\"\n  Finds the default converter to use for a target format.\n\n  iex> converter_to_use(:GTFS, :GeoJSON)\n  \"rust-transit/gtfs-to-geojson\"\n  iex> converter_to_use(:NeTEx, :GeoJSON)\n  \"etalab/transport-site\"\n  iex> available_conversion_formats() |> Enum.each(& converter_to_use(:GTFS, &1))\n  :ok\n  iex> available_conversion_formats() |> Enum.each(& converter_to_use(:NeTEx, &1))\n  :ok\n  \"\"\"\n  @spec converter_to_use(binary() | atom(), binary() | atom()) :: binary()\n  def converter_to_use(convert_from, convert_to) do\n    Map.fetch!(\n      %{\n        {\"GTFS\", \"GeoJSON\"} => Transport.GTFSToGeoJSONConverter.converter(),\n        {\"NeTEx\", \"GeoJSON\"} => Transport.NeTExToGeoJSONConverter.converter()\n      },\n      {to_string(convert_from), to_string(convert_to)}\n    )\n  end\n\n  @spec join_resource_history_with_data_conversion(Ecto.Query.t(), [binary()], [binary()] | nil) :: Ecto.Query.t()\n  @spec join_resource_history_with_data_conversion(Ecto.Query.t(), [binary()]) :: Ecto.Query.t()\n  def join_resource_history_with_data_conversion(%Ecto.Query{} = query, convert_tos, converters \\\\ nil) do\n    convert_froms = [:GTFS, :NeTEx]\n\n    converters = converters || default_converters(convert_froms, convert_tos)\n\n    query\n    |> join(:left, [resource_history: rh], dc in DB.DataConversion,\n      on: fragment(\"(?->>'uuid')::uuid = ?\", rh.payload, dc.resource_history_uuid),\n      as: :data_conversion\n    )\n    |> where([data_conversion: dc], dc.convert_from in ^convert_froms and dc.convert_to in ^convert_tos)\n    |> where([data_conversion: dc], dc.status == :success and dc.converter in ^converters)\n  end\n\n  defp default_converters(convert_froms, convert_tos) do\n    for convert_from <- convert_froms,\n        convert_to <- convert_tos,\n        converter = converter_to_use(convert_from, convert_to) do\n      converter\n    end\n  end\n\n  @spec latest_data_conversions(integer(), binary()) :: [map()]\n  def latest_data_conversions(dataset_id, convert_to) do\n    DB.Dataset.base_query()\n    |> DB.ResourceHistory.join_dataset_with_latest_resource_history()\n    |> join_resource_history_with_data_conversion([convert_to])\n    |> where([dataset: d, data_conversion: dc], d.id == ^dataset_id and dc.status == :success)\n    |> select([resource_history: rh, data_conversion: dc], %{\n      resource_history_id: rh.id,\n      data_conversion_id: dc.id,\n      s3_path: fragment(\"?->>'filename'\", dc.payload)\n    })\n    |> DB.Repo.all()\n  end\n\n  @spec delete_data_conversions([map()]) :: :ok\n  def delete_data_conversions(conversions) do\n    Enum.each(conversions, fn %{data_conversion_id: dc_id, s3_path: s3_path} ->\n      Transport.S3.delete_object!(:history, s3_path)\n      DB.DataConversion |> DB.Repo.get(dc_id) |> DB.Repo.delete!()\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/data_import.ex",
    "content": "defmodule DB.DataImport do\n  @moduledoc \"\"\"\n  Table linking a ResourceHistory with a DataImport.\n  A DataImport is for example the import of a GTFS file to the DB.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"data_import\" do\n    belongs_to(:resource_history, DB.ResourceHistory)\n    timestamps(type: :utc_datetime_usec)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/data_import_batch.ex",
    "content": "defmodule DB.DataImportBatch do\n  @moduledoc \"\"\"\n  Table storing the summary of a data import consolidation.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"data_import_batch\" do\n    field(:summary, :map)\n    timestamps(type: :utc_datetime_usec)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/dataset.ex",
    "content": "defmodule DB.Dataset do\n  @moduledoc \"\"\"\n  Dataset schema\n\n  There's a trigger on update on postgres to update the search vector.\n  There are also trigger on update on aom and region that will force an update on this model\n  so the search vector is up-to-date.\n  \"\"\"\n  alias DB.{AOM, LogsImport, NotificationSubscription, Region, Repo, Resource}\n  alias Phoenix.HTML.Link\n  import Ecto.{Changeset, Query}\n  import Geo.PostGIS\n  use Gettext, backend: TransportWeb.Gettext\n  require Logger\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  @type conversion_details :: %{\n          url: binary(),\n          filesize: pos_integer(),\n          resource_history_last_up_to_date_at: DateTime.t(),\n          format: binary(),\n          stable_url: binary()\n        }\n\n  @licences_ouvertes [\"fr-lo\", \"lov2\"]\n  @licence_mobilités_tag \"licence-mobilités\"\n  @hidden_dataset_custom_tag_value \"masqué\"\n  @experimental_tag \"experimental\"\n\n  typed_schema \"dataset\" do\n    field(:datagouv_id, :string)\n    field(:custom_title, :string)\n    # `created_at` comes from data.gouv.fr.\n    # To know when the dataset has been added on the NAP, use `inserted_at`\n    field(:created_at, :utc_datetime_usec)\n    field(:description, :string)\n    field(:frequency, :string)\n    field(:last_update, :utc_datetime_usec)\n    field(:licence, :string)\n    field(:logo, :string)\n    field(:full_logo, :string)\n    field(:slug, :string)\n    field(:tags, {:array, :string})\n    field(:datagouv_title, :string)\n    field(:type, :string)\n    field(:organization, :string)\n    field(:organization_type, :string)\n    field(:has_realtime, :boolean)\n    field(:is_active, :boolean)\n    field(:is_hidden, :boolean)\n    field(:population, :integer)\n    field(:nb_reuses, :integer)\n    field(:latest_data_gouv_comment_timestamp, :utc_datetime)\n    field(:archived_at, :utc_datetime_usec)\n    field(:custom_tags, {:array, :string}, default: [])\n    # URLs for custom logos.\n    # Currently we host custom logos in Cellar buckets.\n    # See config: `:transport, :logos_bucket_url`\n    field(:custom_logo, :string)\n    field(:custom_full_logo, :string)\n    field(:custom_logo_changed_at, :utc_datetime_usec)\n\n    timestamps(type: :utc_datetime_usec)\n\n    many_to_many(:legal_owners_aom, AOM,\n      join_through: \"dataset_aom_legal_owner\",\n      on_replace: :delete\n    )\n\n    many_to_many(:legal_owners_region, Region,\n      join_through: \"dataset_region_legal_owner\",\n      on_replace: :delete\n    )\n\n    many_to_many(:offers, DB.Offer, join_through: \"dataset_offer\", on_replace: :delete)\n\n    # This links the dataset to one or more `DB.AdministrativeDivision`. The x/y data\n    # contained within the dataset's resources should more or less be consistent with\n    # the polygons defining the territories of associated administrative divisions.\n    #\n    # Not to be confused with the \"legal owners\" (or even with the \"publishers\")\n    # of the data.\n    many_to_many(:declarative_spatial_areas, DB.AdministrativeDivision,\n      join_through: \"dataset_declarative_spatial_area\",\n      on_replace: :delete\n    )\n\n    field(:legal_owner_company_siren, :string)\n    field(:search_payload, :map)\n\n    has_many(:resources, Resource, on_replace: :delete, on_delete: :delete_all)\n    has_many(:logs_import, LogsImport, on_replace: :delete, on_delete: :delete_all)\n    has_many(:notification_subscriptions, NotificationSubscription, on_delete: :delete_all)\n    has_many(:reuser_improved_data, DB.ReuserImprovedData, on_delete: :delete_all)\n    belongs_to(:organization_object, DB.Organization, foreign_key: :organization_id, type: :string, on_replace: :nilify)\n    many_to_many(:followers, DB.Contact, join_through: \"dataset_followers\", on_replace: :delete)\n    many_to_many(:dataset_subtypes, DB.DatasetSubtype, join_through: \"dataset_dataset_subtype\", on_replace: :delete)\n  end\n\n  def base_query do\n    from(d in DB.Dataset, as: :dataset, where: d.is_active and not d.is_hidden)\n  end\n\n  def all_datasets, do: from(d in DB.Dataset, as: :dataset)\n  def archived, do: base_query() |> where([dataset: d], not is_nil(d.archived_at))\n  def inactive, do: from(d in DB.Dataset, as: :dataset, where: not d.is_active)\n  def hidden, do: from(d in DB.Dataset, as: :dataset, where: d.is_active and d.is_hidden)\n  def include_hidden_datasets(%Ecto.Query{} = query), do: or_where(query, [dataset: d], d.is_hidden)\n  def base_with_hidden_datasets, do: base_query() |> include_hidden_datasets()\n  def reject_archived_datasets(%Ecto.Query{} = query), do: where(query, [dataset: d], is_nil(d.archived_at))\n\n  @spec archived?(__MODULE__.t()) :: boolean()\n  def archived?(%__MODULE__{archived_at: nil}), do: false\n  def archived?(%__MODULE__{archived_at: %DateTime{}}), do: true\n\n  @spec active?(__MODULE__.t()) :: boolean()\n  def active?(%__MODULE__{is_active: is_active}), do: is_active\n\n  @doc \"\"\"\n  Creates a query with the following inner joins:\n  datasets <> Resource <> ResourceHistory <> MultiValidation <> ResourceMetadata\n  \"\"\"\n  @spec join_from_dataset_to_metadata(Ecto.Query.t(), binary() | [binary()]) :: Ecto.Query.t()\n  def join_from_dataset_to_metadata(query, validator_name) do\n    query\n    |> DB.Resource.join_dataset_with_resource()\n    |> DB.ResourceHistory.join_resource_with_latest_resource_history()\n    |> DB.MultiValidation.join_resource_history_with_latest_validation(validator_name)\n    |> DB.ResourceMetadata.join_validation_with_metadata()\n  end\n\n  @doc \"\"\"\n  Returns a list of resources, with their last resource_history preloaded\n  \"\"\"\n  def last_resource_history(dataset_id) do\n    DB.Dataset.all_datasets()\n    |> where([dataset: d], d.id == ^dataset_id)\n    |> join(:left, [dataset: d], r in DB.Resource, on: d.id == r.dataset_id, as: :resource)\n    |> join(:left, [resource: r], rh in DB.ResourceHistory,\n      on: rh.resource_id == r.id,\n      as: :resource_history\n    )\n    |> distinct([resource: r], r.id)\n    |> order_by([resource: r, resource_history: rh],\n      asc: r.id,\n      desc: rh.inserted_at\n    )\n    |> preload([resource: r, resource_history: rh], resources: {r, resource_history: rh})\n    |> DB.Repo.one!()\n    |> Map.get(:resources, [])\n  end\n\n  @spec type_to_str_map() :: %{binary() => binary()}\n  def type_to_str_map,\n    do: %{\n      \"public-transit\" => dgettext(\"db-dataset\", \"Public transit\"),\n      \"carpooling-areas\" => dgettext(\"db-dataset\", \"Carpooling areas\"),\n      \"carpooling-lines\" => dgettext(\"db-dataset\", \"Carpooling lines\"),\n      \"carpooling-offers\" => dgettext(\"db-dataset\", \"Carpooling offers\"),\n      \"charging-stations\" => dgettext(\"db-dataset\", \"Charging & refuelling stations\"),\n      \"vehicles-sharing\" => dgettext(\"db-dataset\", \"Vehicles sharing\"),\n      \"road-data\" => dgettext(\"db-dataset\", \"Road data\"),\n      \"informations\" => dgettext(\"db-dataset\", \"Other informations\"),\n      \"bike-data\" => dgettext(\"db-dataset\", \"Bike data\"),\n      \"pedestrian-path\" => dgettext(\"db-dataset\", \"Pedestrian path\")\n    }\n\n  @spec type_to_str(binary()) :: binary()\n  def type_to_str(type), do: type_to_str_map()[type]\n\n  @spec subtype_to_str(binary()) :: binary()\n  def subtype_to_str(subtype) do\n    subtypes_map = %{\n      \"urban\" => dgettext(\"db-dataset\", \"Urban\"),\n      \"intercity\" => dgettext(\"db-dataset\", \"Intercity\"),\n      \"school\" => dgettext(\"db-dataset\", \"School\"),\n      \"seasonal\" => dgettext(\"db-dataset\", \"Seasonal\"),\n      \"zonal_drt\" => dgettext(\"db-dataset\", \"Zonal DRT\"),\n      \"bicycle\" => dgettext(\"db-dataset\", \"Bicycle\"),\n      \"scooter\" => dgettext(\"db-dataset\", \"Scooter\"),\n      \"carsharing\" => dgettext(\"db-dataset\", \"Carsharing\"),\n      \"moped\" => dgettext(\"db-dataset\", \"Moped\"),\n      \"freefloating\" => dgettext(\"db-dataset\", \"Freefloating\")\n    }\n\n    Map.fetch!(subtypes_map, subtype)\n  end\n\n  @spec types() :: [binary()]\n  def types, do: Map.keys(type_to_str_map())\n\n  @spec no_validations_query() :: Ecto.Query.t()\n  defp no_validations_query do\n    from(r in Resource,\n      select: %Resource{\n        format: r.format,\n        title: r.title,\n        url: r.url,\n        id: r.id,\n        dataset_id: r.dataset_id,\n        datagouv_id: r.datagouv_id,\n        last_update: r.last_update,\n        latest_url: r.latest_url,\n        is_community_resource: r.is_community_resource,\n        is_available: r.is_available,\n        description: r.description,\n        community_resource_publisher: r.community_resource_publisher,\n        original_resource_url: r.original_resource_url,\n        schema_name: r.schema_name,\n        schema_version: r.schema_version,\n        type: r.type,\n        display_position: r.display_position\n      }\n    )\n  end\n\n  @spec preload_without_validations() :: Ecto.Query.t()\n  defp preload_without_validations do\n    s = no_validations_query()\n    __MODULE__ |> preload(resources: ^s)\n  end\n\n  @spec preload_without_validations(Ecto.Query.t()) :: Ecto.Query.t()\n  defp preload_without_validations(query) do\n    s = no_validations_query()\n    query |> preload(resources: ^s)\n  end\n\n  defp preload_legal_owners(query) do\n    a = from(a in AOM, select: %DB.AOM{nom: a.nom, siren: a.siren})\n    r = from(r in Region, select: %DB.Region{nom: r.nom, insee: r.insee})\n\n    query\n    |> preload(legal_owners_aom: ^a)\n    |> preload(legal_owners_region: ^r)\n  end\n\n  @spec filter_by_fulltext(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  def filter_by_fulltext(query, %{\"q\" => \"\"}), do: query\n\n  def filter_by_fulltext(query, %{\"q\" => q}) do\n    where(\n      query,\n      [d],\n      fragment(\"search_vector @@ plainto_tsquery('custom_french', ?) or unaccent(datagouv_title) = unaccent(?)\", ^q, ^q)\n    )\n  end\n\n  def filter_by_fulltext(query, _), do: query\n\n  @spec filter_by_region(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  defp filter_by_region(query, %{\"region\" => region}) do\n    query\n    |> join(:inner, [dataset: d], r in DB.Region, on: r.insee == ^region, as: :region)\n    |> join(:inner, [dataset: d, region: r], d_geo in DB.DatasetGeographicView,\n      on: d.id == d_geo.dataset_id and d_geo.region_id == r.id\n    )\n  end\n\n  defp filter_by_region(query, _), do: query\n\n  @spec filter_by_departement(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  def filter_by_departement(query, %{\"departement\" => insee}) do\n    query\n    |> where(\n      [dataset: d],\n      fragment(\n        \"\"\"\n        (\n          ? IN (\n              select dataset_id\n              from (\n                -- departement\n                select distinct d.id dataset_id, 1 as filter\n                from dataset d\n                join administrative_division ad on ad.type = 'departement' and ad.insee = ?\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n                union\n                -- commune\n                select distinct d.id dataset_id, 2 as filter\n                from dataset d\n                join departement de on de.insee = ?\n                join commune c on c.departement_insee = de.insee\n                join administrative_division ad on ad.type = 'commune' and c.insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n                union\n                -- epci\n                select distinct d.id dataset_id, 3 as filter\n                from dataset d\n                join departement de on de.insee = ?\n                join commune c on c.departement_insee = de.insee\n                join administrative_division ad on ad.type = 'epci' and c.epci_insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n                union\n                -- region\n                select distinct d.id dataset_id, 4 as filter\n                from dataset d\n                join departement de on de.insee = ?\n                join commune c on c.departement_insee = de.insee\n                join region r on r.id = c.region_id\n                join administrative_division ad on ad.type = 'region' and r.insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n              ) t\n              order by filter\n        ))\n        \"\"\",\n        d.id,\n        ^insee,\n        ^insee,\n        ^insee,\n        ^insee\n      )\n    )\n  end\n\n  def filter_by_departement(query, _), do: query\n\n  @spec filter_by_category(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  defp filter_by_category(query, %{\"filter\" => filter_key}) do\n    case filter_key do\n      \"has_realtime\" -> where(query, [d], d.has_realtime == true)\n      _ -> query\n    end\n  end\n\n  defp filter_by_category(query, _), do: query\n\n  @spec filter_by_custom_tag(Ecto.Query.t(), binary() | map()) :: Ecto.Query.t()\n  def filter_by_custom_tag(%Ecto.Query{} = query, custom_tag) when is_binary(custom_tag) do\n    where(query, [dataset: d], ^custom_tag in d.custom_tags)\n  end\n\n  def filter_by_custom_tag(%Ecto.Query{} = query, %{\"custom_tag\" => custom_tag}),\n    do: filter_by_custom_tag(query, custom_tag)\n\n  def filter_by_custom_tag(%Ecto.Query{} = query, _), do: query\n\n  @spec filter_by_feature(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  def filter_by_feature(query, %{\"features\" => [feature]})\n      when feature in [\"service_alerts\", \"trip_updates\", \"vehicle_positions\"] do\n    recent_limit = Transport.Jobs.GTFSRTMetadataJob.datetime_limit()\n\n    query\n    |> join(:inner, [dataset: d], r in DB.Resource, on: r.dataset_id == d.id, as: :resource)\n    |> join(\n      :inner,\n      [resource: r],\n      rm in DB.ResourceMetadata,\n      on:\n        rm.resource_id == r.id and\n          fragment(\n            \"? = ANY (?)\",\n            ^feature,\n            rm.features\n          ) and\n          rm.inserted_at > ^recent_limit\n    )\n  end\n\n  def filter_by_feature(query, %{\"features\" => feature}) do\n    query\n    |> join(:inner, [dataset: d], r in assoc(d, :resources), as: :resource_for_features)\n    |> where([resource_for_features: r], fragment(\"?->'gtfs_features' @> ?\", r.counter_cache, ^feature))\n  end\n\n  def filter_by_feature(query, _), do: query\n\n  @spec filter_by_mode(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  defp filter_by_mode(query, %{\"modes\" => modes}) when is_list(modes) do\n    query\n    |> join(:inner, [dataset: d], r in assoc(d, :resources), as: :resource_for_mode)\n    |> where([resource_for_mode: r], fragment(\"?->'gtfs_modes' @> ?\", r.counter_cache, ^modes))\n  end\n\n  defp filter_by_mode(query, _), do: query\n\n  @spec filter_by_resource_format(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  defp filter_by_resource_format(query, %{\"format\" => format}) do\n    query\n    |> join(:inner, [dataset: d], r in assoc(d, :resources), as: :resources)\n    |> where([resources: r], r.format == ^format)\n  end\n\n  defp filter_by_resource_format(query, _), do: query\n\n  @spec filter_by_type(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  defp filter_by_type(query, %{\"type\" => type}), do: where(query, [d], d.type == ^type)\n  defp filter_by_type(query, _), do: query\n\n  @spec filter_by_subtype(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  defp filter_by_subtype(query, %{\"subtype\" => subtype}) do\n    query\n    |> join(:inner, [dataset: d], ds in assoc(d, :dataset_subtypes), as: :dataset_subtypes)\n    |> where([dataset_subtypes: ds], ds.slug == ^subtype)\n  end\n\n  defp filter_by_subtype(query, _), do: query\n\n  @spec filter_by_epci(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  def filter_by_epci(query, %{\"epci\" => epci}) do\n    query\n    |> where(\n      [dataset: d],\n      fragment(\n        \"\"\"\n        (\n          ? IN (\n              select dataset_id\n              from (\n                -- region\n                select distinct d.id dataset_id, 1 as filter\n                from dataset d\n                join epci e on e.insee = ?\n                join commune c on c.epci_insee = e.insee\n                join region r on r.id = c.region_id\n                join administrative_division ad on ad.type = 'region' and r.insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n                union\n                -- departement\n                select distinct d.id dataset_id, 2 as filter\n                from dataset d\n                join epci e on e.insee = ?\n                join commune c on c.epci_insee = e.insee\n                join administrative_division ad on ad.type = 'departement' and c.departement_insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n                union\n                -- epci\n                select distinct d.id dataset_id, 3 as filter\n                from dataset d\n                join epci e on e.insee = ?\n                join administrative_division ad on ad.type = 'epci' and e.insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n                union\n                -- commune\n                select distinct d.id dataset_id, 4 as filter\n                from dataset d\n                join epci e on e.insee = ?\n                join commune c on c.epci_insee = e.insee\n                join administrative_division ad on ad.type = 'commune' and c.insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n              ) t\n              order by filter\n            )\n        )\n        \"\"\",\n        d.id,\n        ^epci,\n        ^epci,\n        ^epci,\n        ^epci\n      )\n    )\n  end\n\n  def filter_by_epci(query, _), do: query\n\n  @spec filter_by_commune(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  def filter_by_commune(query, %{\"commune\" => commune}) do\n    query\n    |> where(\n      [dataset: d],\n      fragment(\n        \"\"\"\n        (\n          ? IN (\n              select dataset_id\n              from (\n                -- region\n                select distinct d.id dataset_id, 1 as filter\n                from dataset d\n                join commune c on c.insee = ?\n                join region r on r.id = c.region_id\n                join administrative_division ad on ad.type = 'region' and r.insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n                union\n                -- departement\n                select distinct d.id dataset_id, 2 as filter\n                from dataset d\n                join commune c on c.insee = ?\n                join administrative_division ad on ad.type = 'departement' and c.departement_insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n                union\n                -- epci\n                select distinct d.id dataset_id, 3 as filter\n                from dataset d\n                join commune c on c.insee = ?\n                join administrative_division ad on ad.type = 'epci' and c.epci_insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n                union\n                -- commune\n                select distinct d.id dataset_id, 4 as filter\n                from dataset d\n                join commune c on c.insee = ?\n                join administrative_division ad on ad.type = 'commune' and c.insee = ad.insee\n                join dataset_declarative_spatial_area ddsa on ddsa.administrative_division_id = ad.id and d.id = ddsa.dataset_id\n              ) t\n              order by filter\n            )\n        )\n        \"\"\",\n        d.id,\n        ^commune,\n        ^commune,\n        ^commune,\n        ^commune\n      )\n    )\n  end\n\n  def filter_by_commune(query, _), do: query\n\n  defp filter_by_offer(query, %{\"identifiant_offre\" => identifiant_offre}) do\n    query\n    |> join(:inner, [dataset: d], r in assoc(d, :offers), as: :offer)\n    |> where([offer: o], o.identifiant_offre == ^identifiant_offre)\n  end\n\n  defp filter_by_offer(query, _), do: query\n\n  @spec filter_by_licence(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  defp filter_by_licence(query, %{\"licence\" => \"licence-ouverte\"}),\n    do: where(query, [d], d.licence in @licences_ouvertes)\n\n  defp filter_by_licence(query, %{\"licence\" => licence}), do: where(query, [d], d.licence == ^licence)\n  defp filter_by_licence(query, _), do: query\n\n  @spec filter_by_organization(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  defp filter_by_organization(query, %{\"organization_id\" => organization_id}) do\n    where(query, [d], d.organization_id == ^organization_id)\n  end\n\n  defp filter_by_organization(query, _), do: query\n\n  @spec list_datasets(map()) :: Ecto.Query.t()\n  def list_datasets(%{} = params) do\n    params\n    |> list_datasets_no_order()\n    |> order_datasets(params)\n  end\n\n  @spec list_datasets_no_order(map()) :: Ecto.Query.t()\n  def list_datasets_no_order(%{} = params) do\n    q =\n      base_query()\n      |> distinct([dataset: d], d.id)\n      |> filter_by_region(params)\n      |> filter_by_departement(params)\n      |> filter_by_epci(params)\n      |> filter_by_commune(params)\n      |> filter_by_feature(params)\n      |> filter_by_mode(params)\n      |> filter_by_category(params)\n      |> filter_by_type(params)\n      |> filter_by_subtype(params)\n      |> filter_by_licence(params)\n      |> filter_by_custom_tag(params)\n      |> filter_by_organization(params)\n      |> filter_by_resource_format(params)\n      |> filter_by_fulltext(params)\n      |> filter_by_offer(params)\n      |> reject_archived_datasets()\n      |> select([dataset: d], d.id)\n\n    base_query()\n    |> where([dataset: d], d.id in subquery(q))\n    |> preload_without_validations()\n  end\n\n  @spec order_datasets(Ecto.Query.t(), map()) :: Ecto.Query.t()\n  def order_datasets(datasets, %{\"order_by\" => \"alpha\"}), do: order_by(datasets, asc: :custom_title)\n  def order_datasets(datasets, %{\"order_by\" => \"most_recent\"}), do: order_by(datasets, desc_nulls_last: :inserted_at)\n\n  def order_datasets(datasets, %{\"q\" => q}),\n    do:\n      order_by(datasets,\n        desc: fragment(\"ts_rank_cd(search_vector, plainto_tsquery('custom_french', ?), 32) DESC, population\", ^q),\n        asc: :custom_title\n      )\n\n  def order_datasets(datasets, _params) do\n    pan_publisher = Application.fetch_env!(:transport, :datagouvfr_transport_publisher_id)\n\n    order_by(datasets,\n      desc:\n        fragment(\n          \"case when organization_id = ? and custom_title ilike 'base nationale%' then 1 else 0 end\",\n          ^pan_publisher\n        ),\n      desc: :population,\n      asc: :custom_title\n    )\n  end\n\n  @spec changeset(map()) :: {:error, binary()} | {:ok, Ecto.Changeset.t()}\n  def changeset(params = %{}) when is_map_key(params, \"datagouv_id\") or is_map_key(params, \"dataset_id\") do\n    dataset =\n      __MODULE__\n      |> preload([:legal_owners_aom, :legal_owners_region])\n      |> get_dataset(params)\n      |> case do\n        nil -> %__MODULE__{}\n        dataset -> dataset\n      end\n\n    apply_changeset(dataset, params)\n  end\n\n  def changeset(_) do\n    {:error, \"datagouv_id or dataset_id are required\"}\n  end\n\n  # this case is used to update a dataset slug from backoffice without changing the dataset_id\n  # useful when the dataset has been deleted / recreated on data.gouv.fr but we want to keep the resources history\n  def get_dataset(query, %{\"dataset_id\" => dataset_id}) do\n    query |> Repo.get(dataset_id)\n  end\n\n  def get_dataset(query, %{\"datagouv_id\" => datagouv_id}) when is_binary(datagouv_id) do\n    query |> Repo.get_by(datagouv_id: datagouv_id)\n  end\n\n  defp apply_changeset(%__MODULE__{} = dataset, params) do\n    dataset =\n      dataset\n      |> DB.Repo.preload([\n        :legal_owners_aom,\n        :legal_owners_region,\n        :declarative_spatial_areas,\n        :offers,\n        :dataset_subtypes,\n        :resources,\n        :organization_object\n      ])\n\n    legal_owners_aom = get_legal_owners_aom(dataset, params)\n    legal_owners_region = get_legal_owners_region(dataset, params)\n    declarative_spatial_areas = get_administrative_divisions(dataset, params)\n    offers = get_offers(dataset, params)\n    dataset_subtypes = get_dataset_subtypes(dataset, params)\n\n    dataset\n    |> cast(params, [\n      :datagouv_id,\n      :custom_title,\n      :created_at,\n      :description,\n      :frequency,\n      :organization_type,\n      :last_update,\n      :licence,\n      :logo,\n      :full_logo,\n      :slug,\n      :tags,\n      :datagouv_title,\n      :type,\n      :nb_reuses,\n      :is_active,\n      :latest_data_gouv_comment_timestamp,\n      :archived_at,\n      :custom_tags,\n      :legal_owner_company_siren,\n      :custom_logo,\n      :custom_full_logo,\n      :custom_logo_changed_at,\n      :organization_id\n    ])\n    |> update_change(:custom_title, &String.trim/1)\n    |> cast_assoc(:resources)\n    |> validate_siren()\n    |> maybe_overwrite_licence()\n    |> has_real_time()\n    |> set_is_hidden()\n    |> validate_spatial_area_overlap(declarative_spatial_areas)\n    |> set_population(declarative_spatial_areas)\n    |> validate_organization_type()\n    |> add_organization(params)\n    |> maybe_set_custom_logo_changed_at()\n    |> put_assoc(:legal_owners_aom, legal_owners_aom)\n    |> put_assoc(:legal_owners_region, legal_owners_region)\n    |> put_assoc(:declarative_spatial_areas, declarative_spatial_areas)\n    |> put_assoc(:offers, offers)\n    |> put_assoc(:dataset_subtypes, dataset_subtypes)\n    |> validate_required([\n      :datagouv_id,\n      :custom_title,\n      :licence,\n      :slug,\n      :datagouv_title,\n      :type,\n      :organization_id,\n      :logo\n    ])\n    |> case do\n      %{valid?: false, changes: changes} = changeset when changes == %{} ->\n        {:ok, %{changeset | action: :ignore}}\n\n      %{valid?: true} = changeset ->\n        {:ok, changeset}\n\n      %{valid?: false} = errors ->\n        Logger.warning(\"error while importing dataset: #{format_error(errors)}\")\n        {:error, format_error(errors)}\n    end\n  end\n\n  defp validate_spatial_area_overlap(%Ecto.Changeset{} = changeset, administrative_divisions) do\n    ids = Enum.map(administrative_divisions, & &1.id)\n\n    overlaps =\n      DB.AdministrativeDivision\n      |> join(:inner, [ad], ad2 in DB.AdministrativeDivision, on: ad2.id < ad.id and ad2.id in ^ids)\n      |> where([ad, ad2], ad.id in ^ids and st_overlaps(ad.geom, ad2.geom))\n      |> DB.Repo.exists?()\n\n    if overlaps do\n      add_error(changeset, :declarative_spatial_areas, \"Spatial areas overlap\")\n    else\n      changeset\n    end\n  end\n\n  defp add_organization(%Ecto.Changeset{} = changeset, %{\"organization\" => %{\"id\" => id, \"name\" => name} = org}) do\n    changeset\n    |> put_assoc(\n      :organization_object,\n      DB.Organization.changeset(DB.Repo.get(DB.Organization, id) || %DB.Organization{}, org)\n    )\n    |> put_change(:organization, name)\n    # `put_assoc` already sets `organization_id` but we set it again\n    # to pass `validate_required([:organization_id])`\n    |> put_change(:organization_id, id)\n  end\n\n  defp add_organization(%Ecto.Changeset{} = changeset, _), do: changeset\n\n  defp maybe_set_custom_logo_changed_at(%Ecto.Changeset{} = changeset) do\n    if changed?(changeset, :custom_logo) do\n      put_change(changeset, :custom_logo_changed_at, DateTime.utc_now())\n    else\n      changeset\n    end\n  end\n\n  defp get_legal_owners_aom(dataset, params) do\n    case params[\"legal_owners_aom\"] do\n      nil ->\n        if Ecto.assoc_loaded?(dataset.legal_owners_aom) do\n          # get existing aom legal owners\n          dataset.legal_owners_aom\n        else\n          # new dataset\n          []\n        end\n\n      # aom legal owners are updated from the params\n      legal_owners_aom_id ->\n        Repo.all(from(aom in AOM, where: aom.id in ^legal_owners_aom_id))\n    end\n  end\n\n  defp get_legal_owners_region(dataset, params) do\n    case params[\"legal_owners_region\"] do\n      nil ->\n        if Ecto.assoc_loaded?(dataset.legal_owners_region) do\n          dataset.legal_owners_region\n        else\n          []\n        end\n\n      legal_owners_region_id ->\n        Repo.all(from(region in Region, where: region.id in ^legal_owners_region_id))\n    end\n  end\n\n  defp get_administrative_divisions(dataset, params) do\n    case params[\"declarative_spatial_areas\"] do\n      nil ->\n        if Ecto.assoc_loaded?(dataset.declarative_spatial_areas) do\n          dataset.declarative_spatial_areas\n        else\n          []\n        end\n\n      ids ->\n        Repo.all(from(ad in DB.AdministrativeDivision, where: ad.id in ^ids))\n    end\n  end\n\n  defp get_offers(dataset, params) do\n    case params[\"offers\"] do\n      nil ->\n        if Ecto.assoc_loaded?(dataset.offers) do\n          dataset.offers\n        else\n          []\n        end\n\n      ids ->\n        Repo.all(from(o in DB.Offer, where: o.id in ^ids))\n    end\n  end\n\n  defp get_dataset_subtypes(dataset, params) do\n    case params[\"dataset_subtypes\"] do\n      nil ->\n        if Ecto.assoc_loaded?(dataset.dataset_subtypes) do\n          dataset.dataset_subtypes\n        else\n          []\n        end\n\n      slugs ->\n        Repo.all(from(ds in DB.DatasetSubtype, where: ds.slug in ^slugs))\n    end\n  end\n\n  @spec format_error(any()) :: binary()\n  defp format_error(changeset), do: \"#{inspect(Ecto.Changeset.traverse_errors(changeset, fn {msg, _opts} -> msg end))}\"\n\n  @spec link_to_datagouv(DB.Dataset.t()) :: any()\n  def link_to_datagouv(%__MODULE__{} = dataset) do\n    Link.link(\n      dgettext(\"db-dataset\", \"See on data.gouv.fr\"),\n      to: datagouv_url(dataset),\n      role: \"link\",\n      target: \"_blank\"\n    )\n  end\n\n  @spec datagouv_url(DB.Dataset.t()) :: binary()\n  def datagouv_url(%__MODULE__{slug: slug}) do\n    Path.join([Application.fetch_env!(:transport, :datagouvfr_site), \"datasets\", slug])\n  end\n\n  @spec count_by_mode(binary()) :: number()\n  def count_by_mode(mode) do\n    count_by_mode_query(mode)\n    |> DB.Repo.aggregate(:count, :id)\n  end\n\n  @spec count_coach() :: number()\n  def count_coach do\n    count_by_mode_query(\"bus\")\n    |> join(:inner, [dataset: d], r in assoc(d, :declarative_spatial_areas), as: :administrative_divison)\n    |> where([administrative_divison: ad], ad.type == :pays and ad.insee == \"FR\")\n    |> DB.Repo.aggregate(:count, :id)\n  end\n\n  defp count_by_mode_query(mode) do\n    base_query()\n    |> reject_archived_datasets()\n    |> join(:inner, [dataset: d], r in assoc(d, :resources), as: :resource)\n    |> where([resource: r], fragment(\"?->'gtfs_modes' @> ?\", r.counter_cache, ^mode))\n  end\n\n  @spec count_by_type(binary()) :: any()\n  def count_by_type(type) do\n    base_query()\n    |> reject_archived_datasets()\n    |> where([d], d.type == ^type)\n    |> Repo.aggregate(:count, :id)\n  end\n\n  @spec count_by_type :: map\n  def count_by_type, do: for(type <- __MODULE__.types(), into: %{}, do: {type, count_by_type(type)})\n\n  @spec count_public_transport_has_realtime :: number()\n  def count_public_transport_has_realtime do\n    base_query()\n    |> reject_archived_datasets()\n    |> where([d], d.has_realtime and d.type == \"public-transit\")\n    |> Repo.aggregate(:count, :id)\n  end\n\n  @spec count_by_custom_tag(binary()) :: non_neg_integer()\n  def count_by_custom_tag(custom_tag) do\n    base_query() |> reject_archived_datasets() |> filter_by_custom_tag(custom_tag) |> Repo.aggregate(:count, :id)\n  end\n\n  @spec get_by_slug(binary) :: {:ok, __MODULE__.t()} | {:error, binary()}\n  def get_by_slug(slug) do\n    preload_without_validations()\n    |> where(slug: ^slug)\n    |> preload([\n      :declarative_spatial_areas,\n      offers: ^from(o in DB.Offer, select: [:nom_commercial, :identifiant_offre]),\n      dataset_subtypes: ^from(ds in DB.DatasetSubtype, select: [:slug]),\n      resources: [:resources_related, :dataset]\n    ])\n    |> preload_legal_owners()\n    |> Repo.one()\n    |> case do\n      nil -> {:error, \"Dataset with slug #{slug} not found\"}\n      dataset -> {:ok, dataset}\n    end\n  end\n\n  @spec get_covered_area(__MODULE__.t()) :: {:ok, binary()} | {:error, binary()}\n  def get_covered_area(%__MODULE__{declarative_spatial_areas: declarative_spatial_areas}) do\n    {:ok, declarative_spatial_areas |> DB.AdministrativeDivision.names()}\n  end\n\n  @spec get_covered_area_or_nil(__MODULE__.t()) :: binary() | nil\n  def get_covered_area_or_nil(%__MODULE__{} = d) do\n    case get_covered_area(d) do\n      {:ok, t} -> t\n      _ -> nil\n    end\n  end\n\n  @spec official_resources(__MODULE__.t()) :: list(Resource.t())\n  def official_resources(%__MODULE__{resources: resources}),\n    do: resources |> Stream.reject(&DB.Resource.community_resource?/1) |> Enum.to_list()\n\n  def official_resources(%__MODULE__{}), do: []\n\n  @spec community_resources(__MODULE__.t()) :: list(Resource.t())\n  def community_resources(%__MODULE__{resources: resources}),\n    do: resources |> Stream.filter(&DB.Resource.community_resource?/1) |> Enum.to_list()\n\n  def community_resources(%__MODULE__{}), do: []\n\n  @spec formats(__MODULE__.t()) :: [binary]\n  def formats(%__MODULE__{} = dataset) do\n    dataset\n    |> official_resources()\n    |> Enum.map(& &1.format)\n    |> Enum.reject(&is_nil/1)\n    |> Enum.sort()\n    |> Enum.dedup()\n  end\n\n  def formats(_), do: []\n\n  @spec validate(binary | integer | __MODULE__.t()) :: {:error, String.t()} | {:ok, nil}\n  @spec validate(binary | integer | __MODULE__.t(), force_validation: boolean()) :: {:error, String.t()} | {:ok, nil}\n  def validate(d), do: validate(d, force_validation: false)\n\n  def validate(%__MODULE__{id: id}, opt), do: validate(id, opt)\n\n  def validate(id, opt) when is_binary(id), do: id |> String.to_integer() |> validate(opt)\n\n  def validate(id, opt) when is_integer(id) do\n    force_validation = Keyword.get(opt, :force_validation, false)\n    dataset = __MODULE__ |> Repo.get!(id) |> Repo.preload(:resources)\n\n    {real_time_resources, static_resources} =\n      dataset\n      |> official_resources()\n      |> Enum.split_with(&Resource.real_time?/1)\n\n    # unique period is set to nil, to force the resource history job to be executed\n    static_resources\n    |> Enum.map(\n      &Transport.Jobs.ResourceHistoryJob.historize_and_validate_job(%{resource_id: &1.id},\n        history_options: [unique: nil],\n        validation_custom_args: %{\"force_validation\" => force_validation}\n      )\n    )\n    |> Oban.insert_all()\n\n    # Oban.insert_all does not enforce `unique` params\n    # https://hexdocs.pm/oban/Oban.html#insert_all/3\n    # This is something we rely on to force the job execution\n    real_time_resources\n    |> Enum.map(&Transport.Jobs.ResourceValidationJob.new(%{\"resource_id\" => &1.id}))\n    |> Oban.insert_all()\n\n    {:ok, nil}\n  end\n\n  @doc \"\"\"\n  Find datasets present on the NAP for which the user is a member of the organization.\n  \"\"\"\n  @spec datasets_for_user(Plug.Conn.t() | OAuth2.AccessToken.t()) :: [__MODULE__.t()] | {:error, OAuth2.Error.t()}\n  def datasets_for_user(conn_or_token) do\n    case Datagouvfr.Client.User.Wrapper.impl().me(conn_or_token) do\n      {:ok, %{\"organizations\" => organizations}} ->\n        organization_ids = Enum.map(organizations, fn %{\"id\" => id} -> id end)\n\n        __MODULE__.base_query()\n        |> preload(:resources)\n        |> where([dataset: d], d.organization_id in ^organization_ids)\n        |> Repo.all()\n\n      error ->\n        error\n    end\n  end\n\n  @spec get_resources_related_files(any()) :: %{integer() => %{optional(atom()) => conversion_details() | nil}}\n  def get_resources_related_files(%__MODULE__{resources: resources} = dataset) when is_list(resources) do\n    target_formats = target_conversion_formats(dataset)\n    # The filler's purpose is to make sure we have a {conversion_format, nil} value\n    # for every resource, even if we don't have a conversion\n    filler = Enum.into(DB.DataConversion.available_conversion_formats(), %{}, &{&1, nil})\n    resource_ids = Enum.map(resources, & &1.id)\n\n    results =\n      DB.Resource.base_query()\n      |> where([resource: r], r.id in ^resource_ids)\n      |> DB.ResourceHistory.join_resource_with_latest_resource_history()\n      |> DB.DataConversion.join_resource_history_with_data_conversion(target_formats)\n      |> select(\n        [resource: r, resource_history: rh, data_conversion: dc],\n        {r.id,\n         {dc.convert_to,\n          %{\n            url: fragment(\"? ->> 'permanent_url'\", dc.payload),\n            filesize: fragment(\"(? ->> 'filesize')::int\", dc.payload),\n            # Using `fragment` to avoid `convert_to` being cast to atoms\n            format: fragment(\"?\", dc.convert_to),\n            resource_history_last_up_to_date_at: rh.last_up_to_date_at\n          }}}\n      )\n      |> Repo.all()\n      # transform from\n      # [{id1, {:GeoJSON, %{infos}}}, {id1, {:NeTEx, %{infos}}}, {id2, {:NeTEx, %{infos}}}]\n      # to\n      # %{id1 => %{:GeoJSON: %{infos}, :NeTEx: %{infos}}, id2 => %{:GeoJSON: nil, :NeTEx: %{infos}}}\n      |> Enum.group_by(fn {id, _} -> id end, fn {resource_id, {format, data}} ->\n        stable_url = TransportWeb.Router.Helpers.conversion_url(TransportWeb.Endpoint, :get, resource_id, format)\n        {format, Map.put(data, :stable_url, stable_url)}\n      end)\n      |> Enum.into(%{}, fn {id, l} -> {id, Map.merge(filler, Enum.into(l, %{}))} end)\n\n    empty_results = Enum.into(resource_ids, %{}, fn id -> {id, filler} end)\n\n    Map.merge(empty_results, results)\n  end\n\n  def get_resources_related_files(_), do: %{}\n\n  @doc \"\"\"\n  The list of conversion formats we are interested in for a dataset.\n  iex> target_conversion_formats(%DB.Dataset{resources: [%DB.Resource{format: \"gtfs\"}, %DB.Resource{format: \"NeTEx\"}]})\n  [:GeoJSON]\n  \"\"\"\n  @spec target_conversion_formats(DB.Dataset.t()) :: [atom()]\n  def target_conversion_formats(%__MODULE__{}) do\n    DB.DataConversion.available_conversion_formats()\n  end\n\n  defp validate_siren(%Ecto.Changeset{} = changeset) do\n    case get_change(changeset, :legal_owner_company_siren) do\n      nil ->\n        changeset\n\n      siren ->\n        if Transport.Companies.is_valid_siren?(siren) do\n          changeset\n        else\n          add_error(changeset, :legal_owner_company_siren, \"SIREN is not valid\")\n        end\n    end\n  end\n\n  @spec validate_organization_type(Ecto.Changeset.t()) :: Ecto.Changeset.t()\n  defp validate_organization_type(changeset) do\n    changeset\n    |> get_field(:organization_type)\n    # allow a nil value for the moment\n    |> Kernel.in(TransportWeb.EditDatasetLive.organization_types() ++ [nil])\n    |> case do\n      true -> changeset\n      false -> changeset |> add_error(:organization_type, dgettext(\"db-dataset\", \"Organization type is invalid\"))\n    end\n  end\n\n  defp maybe_overwrite_licence(%Ecto.Changeset{} = changeset) do\n    custom_tags = get_field(changeset, :custom_tags) || []\n\n    if @licence_mobilités_tag in custom_tags do\n      changeset |> change(licence: \"mobility-licence\")\n    else\n      changeset\n    end\n  end\n\n  defp has_real_time(changeset) do\n    has_realtime = changeset |> get_field(:resources) |> Enum.any?(&Resource.real_time?/1)\n    changeset |> change(has_realtime: has_realtime)\n  end\n\n  defp set_is_hidden(%Ecto.Changeset{} = changeset) do\n    is_hidden =\n      has_custom_tag?(%__MODULE__{custom_tags: get_field(changeset, :custom_tags)}, @hidden_dataset_custom_tag_value)\n\n    change(changeset, is_hidden: is_hidden)\n  end\n\n  @spec set_population(Ecto.Changeset.t(), [DB.AdministrativeDivision.t()]) :: Ecto.Changeset.t()\n  defp set_population(%Ecto.Changeset{} = changeset, administrative_divisions) do\n    population = Enum.sum_by(administrative_divisions, & &1.population)\n    change(changeset, population: population)\n  end\n\n  @spec resources_content_updated_at(__MODULE__.t()) :: map()\n  def resources_content_updated_at(%__MODULE__{id: dataset_id}) do\n    DB.Resource\n    |> join(:left, [r], rh in DB.ResourceHistory, on: rh.resource_id == r.id)\n    |> where([r], r.dataset_id == ^dataset_id)\n    |> group_by([r, rh], [r.id, rh.resource_id])\n    |> select([r, rh], {r.id, max(rh.inserted_at)})\n    |> DB.Repo.all()\n    |> Enum.into(%{})\n  end\n\n  @doc \"\"\"\n  Should this dataset not be historicized?\n\n  iex> should_skip_history?(%DB.Dataset{type: \"public-transit\"})\n  false\n  iex> should_skip_history?(%DB.Dataset{type: \"public-transit\", custom_tags: [\"skip_history\", \"foo\"]})\n  true\n  \"\"\"\n  def should_skip_history?(%__MODULE__{type: type} = dataset) do\n    type in [\"vehicles-sharing\"] or has_custom_tag?(dataset, \"skip_history\")\n  end\n\n  def has_licence_ouverte?(%__MODULE__{licence: licence}), do: licence in @licences_ouvertes\n\n  @doc \"\"\"\n  iex> climate_resilience_bill?(%DB.Dataset{custom_tags: [\"licence-osm\"]})\n  false\n  iex> climate_resilience_bill?(%DB.Dataset{custom_tags: [\"loi-climat-resilience\", \"foo\"]})\n  true\n  \"\"\"\n  def climate_resilience_bill?(%__MODULE__{} = dataset), do: has_custom_tag?(dataset, \"loi-climat-resilience\")\n\n  @doc \"\"\"\n  iex> has_custom_tag?(%DB.Dataset{custom_tags: [\"foo\"]}, \"foo\")\n  true\n  iex> has_custom_tag?(%DB.Dataset{custom_tags: [\"foo\"]}, \"bar\")\n  false\n  iex> has_custom_tag?(%DB.Dataset{custom_tags: nil}, \"bar\")\n  false\n  \"\"\"\n  def has_custom_tag?(%__MODULE__{custom_tags: custom_tags}, tag_name), do: tag_name in (custom_tags || [])\n\n  @doc \"\"\"\n  iex> logo(%DB.Dataset{logo: \"https://example.com/logo.png\", custom_logo: nil})\n  \"https://example.com/logo.png\"\n  iex> logo(%DB.Dataset{logo: \"https://example.com/logo.png\", custom_logo: \"https://example.com/custom.png\"})\n  \"https://example.com/custom.png\"\n  \"\"\"\n  @spec logo(__MODULE__.t()) :: binary()\n  def logo(%__MODULE__{logo: logo, custom_logo: custom_logo}), do: custom_logo || logo\n\n  @doc \"\"\"\n  iex> full_logo(%DB.Dataset{full_logo: \"https://example.com/logo.png\", custom_full_logo: nil})\n  \"https://example.com/logo.png\"\n  iex> full_logo(%DB.Dataset{full_logo: \"https://example.com/logo.png\", custom_full_logo: \"https://example.com/custom.png\"})\n  \"https://example.com/custom.png\"\n  \"\"\"\n  @spec full_logo(__MODULE__.t()) :: binary()\n  def full_logo(%__MODULE__{full_logo: full_logo, custom_full_logo: custom_full_logo}),\n    do: custom_full_logo || full_logo\n\n  @doc \"\"\"\n  iex> experimental?(%DB.Dataset{custom_tags: [\"experimental\", \"foo\"]})\n  true\n  iex> experimental?(%DB.Dataset{custom_tags: [\"foo\"]})\n  false\n  \"\"\"\n  def experimental?(%__MODULE__{} = dataset), do: has_custom_tag?(dataset, @experimental_tag)\n\n  def reject_experimental_datasets(queryable) do\n    queryable |> where([d], @experimental_tag not in d.custom_tags)\n  end\n\n  def has_subtype?(%DB.Dataset{} = dataset, slug) do\n    slug in Enum.map(dataset.dataset_subtypes, & &1.slug)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/dataset_follower.ex",
    "content": "defmodule DB.DatasetFollower do\n  @moduledoc \"\"\"\n  Represents contacts following datasets.\n  We insert data **only for existing contacts and datasets.**\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n  import Ecto.Query\n\n  typed_schema \"dataset_followers\" do\n    belongs_to(:dataset, DB.Dataset)\n    belongs_to(:contact, DB.Contact)\n    field(:source, Ecto.Enum, values: [:datagouv, :follow_button, :improved_data_pilot])\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def base_query, do: from(df in __MODULE__, as: :dataset_follower)\n\n  def changeset(%__MODULE__{} = struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, [:dataset_id, :contact_id, :source])\n    |> validate_required([:dataset_id, :contact_id, :source])\n    |> assoc_constraint(:dataset)\n    |> assoc_constraint(:contact)\n    |> unique_constraint([:dataset_id, :contact_id])\n  end\n\n  @spec follows_dataset?(DB.Contact.t() | nil, DB.Dataset.t()) :: boolean()\n  def follows_dataset?(nil, %DB.Dataset{}), do: false\n\n  def follows_dataset?(%DB.Contact{id: contact_id}, %DB.Dataset{id: dataset_id}) do\n    DB.Contact.base_query()\n    |> join(:inner, [contact: c], d in assoc(c, :followed_datasets), as: :dataset)\n    |> where([contact: c, dataset: d], c.id == ^contact_id and d.id == ^dataset_id)\n    |> DB.Repo.exists?()\n  end\n\n  def follow!(%DB.Contact{id: contact_id}, %DB.Dataset{id: dataset_id}, source: source) do\n    %__MODULE__{}\n    |> changeset(%{\n      dataset_id: dataset_id,\n      contact_id: contact_id,\n      source: source\n    })\n    |> DB.Repo.insert!()\n  end\n\n  def unfollow!(%DB.Contact{id: contact_id}, %DB.Dataset{id: dataset_id}) do\n    __MODULE__\n    |> where([df], df.dataset_id == ^dataset_id and df.contact_id == ^contact_id)\n    |> DB.Repo.one!()\n    |> DB.Repo.delete!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/dataset_geographic_view.ex",
    "content": "defmodule DB.DatasetGeographicView do\n  @moduledoc \"\"\"\n  View to ease the geographic metadata of a Dataset\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  alias DB.{Dataset, Region}\n  alias Geo.MultiPolygon\n\n  @primary_key false\n  typed_schema \"dataset_geographic_view\" do\n    belongs_to(:dataset, Dataset)\n    belongs_to(:region, Region)\n    field(:geom, Geo.PostGIS.Geometry, load_in_query: false) :: MultiPolygon.t()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/dataset_history.ex",
    "content": "defmodule DB.DatasetHistory do\n  @moduledoc \"\"\"\n  Historisation of data related to a dataset.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Query\n\n  typed_schema \"dataset_history\" do\n    belongs_to(:dataset, DB.Dataset)\n    field(:dataset_datagouv_id, :binary)\n    field(:payload, :map)\n    has_many(:dataset_history_resources, DB.DatasetHistoryResources)\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def from_old_dataset_slug(slug) do\n    __MODULE__\n    |> join(:inner, [dh], d in DB.Dataset, on: d.id == dh.dataset_id and d.slug != ^slug)\n    |> where([dh], fragment(\"?->>'slug'\", dh.payload) == ^slug)\n    |> select([dh, _d], [:dataset_id])\n    |> distinct(true)\n    |> DB.Repo.one()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/dataset_history_resources.ex",
    "content": "defmodule DB.DatasetHistoryResources do\n  @moduledoc \"\"\"\n  Resources that are part of a dataset history\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"dataset_history_resources\" do\n    belongs_to(:dataset_history, DB.DatasetHistory)\n    belongs_to(:resource, DB.Resource)\n    belongs_to(:resource_history, DB.ResourceHistory)\n    field(:resource_history_last_up_to_date_at, :utc_datetime_usec)\n    belongs_to(:resource_metadata, DB.ResourceMetadata)\n    belongs_to(:validation, DB.MultiValidation)\n    field(:payload, :map)\n    field(:resource_datagouv_id, :string)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/dataset_monthly_metric.ex",
    "content": "defmodule DB.DatasetMonthlyMetric do\n  @moduledoc \"\"\"\n  Monthly metrics related to datasets as given by the data.gouv.fr\n  API.\n\n  - `:downloads`: counts the number of `GET` requests for all the dataset resources,\n  as seen by the data.gouv.fr's infrastructure. It only makes sense for resources\n  hosted on data.gouv.fr, not for resources hosted on third party servers.\n  - `:views`: counts the number of `GET` requests on the dataset web page.\n\n  Example: https://metric-api.data.gouv.fr/api/datasets/data/?metric_month__sort=asc&dataset_id__exact=5b3cc551c751df4822526c1c\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n  import Ecto.Query\n\n  typed_schema \"dataset_monthly_metrics\" do\n    # Foreign key constraint is not enforced on the dataset table\n    # See: https://github.com/etalab/transport-site/pull/3663/files#r1429890393\n    belongs_to(:dataset, DB.Dataset, foreign_key: :dataset_datagouv_id, references: :datagouv_id, type: :string)\n    field(:year_month, :string)\n    field(:metric_name, Ecto.Enum, values: [:views, :downloads])\n    field(:count, :integer)\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def changeset(struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, [:dataset_datagouv_id, :year_month, :metric_name, :count])\n    |> validate_required([:dataset_datagouv_id, :year_month, :metric_name, :count])\n    |> validate_format(:year_month, ~r/\\A2\\d{3}-(0[1-9]|1[012])\\z/)\n    |> validate_number(:count, greater_than_or_equal_to: 0)\n  end\n\n  @spec downloads_for_year([DB.Dataset.t()], non_neg_integer()) :: %{binary() => integer()}\n  def downloads_for_year(datasets, year) do\n    datagouv_ids = Enum.map(datasets, fn %DB.Dataset{datagouv_id: datagouv_id} -> datagouv_id end)\n    year_months = year_months(year)\n\n    DB.DatasetMonthlyMetric\n    |> where(\n      [dm],\n      dm.metric_name == :downloads and dm.dataset_datagouv_id in ^datagouv_ids and dm.year_month in ^year_months\n    )\n    |> group_by([dm], dm.dataset_datagouv_id)\n    |> select([dm], {dm.dataset_datagouv_id, sum(dm.count)})\n    |> DB.Repo.all()\n    |> Map.new()\n  end\n\n  @doc \"\"\"\n  `YYYY-MM` possibilities for a specific year\n\n  iex> year_months(2023)\n  [\"2023-01\", \"2023-02\", \"2023-03\", \"2023-04\", \"2023-05\", \"2023-06\", \"2023-07\", \"2023-08\", \"2023-09\", \"2023-10\", \"2023-11\", \"2023-12\"]\n  \"\"\"\n  @spec year_months(integer()) :: [binary()]\n  def year_months(year) do\n    Enum.map(1..12, &(\"#{year}-\" <> String.pad_leading(to_string(&1), 2, \"0\")))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/dataset_score.ex",
    "content": "defmodule DB.DatasetScore do\n  @moduledoc \"\"\"\n  Give a dataset a score for different topics\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Query\n  import Ecto.Changeset\n  use Gettext, backend: TransportWeb.Gettext\n\n  typed_schema \"dataset_score\" do\n    belongs_to(:dataset, DB.Dataset)\n    field(:topic, Ecto.Enum, values: [:freshness, :availability, :compliance])\n    field(:score, :float)\n    field(:timestamp, :utc_datetime_usec)\n    field(:details, :map)\n  end\n\n  def changeset(%DB.DatasetScore{} = dataset_score, attrs) do\n    dataset_score\n    |> cast(attrs, [:dataset_id, :topic, :score, :timestamp, :details])\n    |> validate_required([:dataset_id, :topic, :timestamp])\n    |> validate_change(:score, &between_0_and_1_if_exists/2)\n  end\n\n  def between_0_and_1_if_exists(:score, score) when score >= 0.0 and score <= 1.0, do: []\n  def between_0_and_1_if_exists(:score, nil), do: []\n  def between_0_and_1_if_exists(:score, _score), do: [score: \"must be between 0.0 and 1.0\"]\n\n  def base_query, do: from(ds in DB.DatasetScore, as: :dataset_score)\n\n  @doc \"\"\"\n  Latest score for a given dataset and topic\n  \"\"\"\n  @spec get_latest(DB.Dataset.t(), atom()) :: DB.DatasetScore.t() | nil\n  def get_latest(%DB.Dataset{id: dataset_id}, topic) when is_atom(topic) do\n    __MODULE__.base_query()\n    |> where([dataset_score: ds], ds.dataset_id == ^dataset_id and ds.topic == ^topic)\n    |> order_by([ds], desc: ds.timestamp)\n    |> limit(1)\n    |> DB.Repo.one()\n  end\n\n  @doc \"\"\"\n  Latest scores for a given dataset and a list of topics\n  \"\"\"\n  @spec get_latest_scores(DB.Dataset.t(), [atom()]) :: %{required(atom()) => DB.DatasetScore.t()}\n  def get_latest_scores(%DB.Dataset{id: dataset_id}, topics) when is_list(topics) do\n    ids =\n      __MODULE__.base_query()\n      |> where([dataset_score: ds], ds.dataset_id == ^dataset_id and ds.topic in ^topics)\n      |> select(\n        [dataset_score: ds],\n        ds.id |> first_value() |> over(partition_by: ds.topic, order_by: [desc: ds.timestamp])\n      )\n      |> distinct(true)\n\n    __MODULE__.base_query()\n    |> where([dataset_score: ds], ds.id in subquery(ids))\n    |> DB.Repo.all()\n    |> Enum.into(%{}, fn %__MODULE__{topic: topic} = ds -> {topic, ds} end)\n  end\n\n  def scores_over_last_days(%DB.Dataset{id: dataset_id}, nb_days) when is_integer(nb_days) and nb_days > 0 do\n    dt_limit = %DateTime{DateTime.utc_now() | hour: 0, minute: 0, second: 0} |> DateTime.add(-nb_days, :day)\n\n    # Find the latest point for each topic for this dataset, for each day\n    ids =\n      __MODULE__.base_query()\n      |> where([dataset_score: ds], ds.dataset_id == ^dataset_id and ds.timestamp >= ^dt_limit)\n      |> select(\n        [dataset_score: ds],\n        ds.id\n        |> first_value()\n        |> over(partition_by: [ds.topic, fragment(\"?::date\", ds.timestamp)], order_by: [desc: ds.timestamp])\n      )\n      |> distinct(true)\n\n    __MODULE__.base_query()\n    |> where([dataset_score: ds], ds.id in subquery(ids))\n    |> order_by([dataset_score: ds], asc: ds.timestamp, asc: ds.topic)\n    |> DB.Repo.all()\n  end\n\n  @doc \"\"\"\n  iex> score_for_humans(%DB.DatasetScore{score: nil})\n  nil\n  iex> score_for_humans(%DB.DatasetScore{score: 0.123})\n  12\n  \"\"\"\n  @spec score_for_humans(__MODULE__.t()) :: nil | integer()\n  def score_for_humans(%__MODULE__{score: nil}), do: nil\n  def score_for_humans(%__MODULE__{score: score}), do: Kernel.round(score * 100)\n\n  @doc \"\"\"\n  iex> DB.DatasetScore |> Ecto.Enum.values(:topic) |> Enum.each(&topic_for_humans/1)\n  :ok\n  \"\"\"\n  @spec topic_for_humans(atom() | binary()) :: binary()\n  def topic_for_humans(topic) when is_atom(topic), do: topic |> to_string() |> topic_for_humans()\n\n  def topic_for_humans(topic) when is_binary(topic) do\n    Map.fetch!(\n      %{\n        \"freshness\" => dgettext(\"db-dataset-score\", \"freshness\"),\n        \"availability\" => dgettext(\"db-dataset-score\", \"availability\"),\n        \"compliance\" => dgettext(\"db-dataset-score\", \"compliance\")\n      },\n      topic\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/dataset_subtype.ex",
    "content": "defmodule DB.DatasetSubtype do\n  @moduledoc \"\"\"\n  Represents dataset subtypes.\n  A subtype has a parent_type (e.g., \"public-transit\") and a slug (e.g., \"urban\", \"intercity\").\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n\n  typed_schema \"dataset_subtype\" do\n    field(:parent_type, :string)\n    field(:slug, :string)\n\n    timestamps(type: :utc_datetime_usec)\n\n    many_to_many(:datasets, DB.Dataset, join_through: \"dataset_dataset_subtype\", on_replace: :delete)\n  end\n\n  def changeset(%__MODULE__{} = struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, [:parent_type, :slug])\n    |> validate_required([:parent_type, :slug])\n    |> unique_constraint([:parent_type, :slug])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/default_token.ex",
    "content": "defmodule DB.DefaultToken do\n  @moduledoc \"\"\"\n  Represents a default token for a contact.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n  import Ecto.Query\n\n  typed_schema \"default_token\" do\n    belongs_to(:contact, DB.Contact)\n    belongs_to(:token, DB.Token)\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def base_query, do: from(df in __MODULE__, as: :default_token)\n\n  def changeset(%__MODULE__{} = struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, [:contact_id, :token_id])\n    |> validate_required([:contact_id, :token_id])\n    |> assoc_constraint(:token)\n    |> assoc_constraint(:contact)\n    |> unique_constraint([:contact_id])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/departement.ex",
    "content": "defmodule DB.Departement do\n  @moduledoc \"\"\"\n  Departement schema\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"departement\" do\n    field(:insee, :string)\n    field(:nom, :string)\n    field(:geom, Geo.PostGIS.Geometry, load_in_query: false) :: Geo.MultiPolygon.t()\n    field(:zone, :string)\n\n    belongs_to(:region, DB.Region, foreign_key: :region_insee, references: :insee, type: :string)\n    belongs_to(:prefecture, DB.Commune, foreign_key: :chef_lieu, references: :insee, type: :string)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/encrypted/binary.ex",
    "content": "defmodule DB.Encrypted.Binary do\n  @moduledoc \"\"\"\n  An encrypted binary type suitable for `cloak_ecto`\n  https://hexdocs.pm/cloak_ecto/install.html#create-local-ecto-types\n  \"\"\"\n  use Cloak.Ecto.Binary, vault: Transport.Vault\nend\n"
  },
  {
    "path": "apps/transport/lib/db/epci.ex",
    "content": "defmodule DB.EPCI do\n  @moduledoc \"\"\"\n  EPCI schema.\n\n  The EPCI are loaded by the task transport/lib/transport/import_epci.ex.\n  The EPCI imported are only \"à fiscalité propre\". This excludes Etablissements Publics Territoriaux.\n  This allows to have a 1 to 1 relation between a commune and an EPCI.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n\n  typed_schema \"epci\" do\n    field(:insee, :string)\n    field(:nom, :string)\n    field(:type, :string)\n    field(:mode_financement, :string)\n    field(:geom, Geo.PostGIS.Geometry, load_in_query: false) :: Geo.MultiPolygon.t()\n    has_many(:communes, DB.Commune, foreign_key: :epci_insee)\n  end\n\n  def changeset(epci, attrs) do\n    epci\n    |> cast(attrs, [:insee, :nom, :geom, :type, :mode_financement])\n    |> validate_required([:insee, :nom, :geom, :type, :mode_financement])\n    |> validate_inclusion(:type, allowed_types())\n    |> validate_inclusion(:mode_financement, allowed_mode_financement())\n  end\n\n  defp allowed_types,\n    do: [\"Communauté d'agglomération\", \"Communauté urbaine\", \"Communauté de communes\", \"Métropole\", \"Métropole de Lyon\"]\n\n  defp allowed_mode_financement, do: [\"Fiscalité professionnelle unique\", \"Fiscalité additionnelle\"]\nend\n"
  },
  {
    "path": "apps/transport/lib/db/feature_usage.ex",
    "content": "defmodule DB.FeatureUsage do\n  @moduledoc \"\"\"\n  Logs when a feature has been used by a contact with metadata.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  @primary_key false\n\n  typed_schema \"feature_usage\" do\n    field(:time, :utc_datetime_usec)\n\n    field(:feature, Ecto.Enum,\n      values: [\n        :on_demand_validation,\n        :download_resource_history,\n        :post_discussion,\n        :post_comment,\n        :gtfs_diff,\n        :autocomplete,\n        :upload_file,\n        :delete_resource,\n        :upload_logo,\n        :download_validation_report\n      ]\n    )\n\n    field(:metadata, :map)\n    belongs_to(:contact, DB.Contact)\n  end\n\n  def insert!(feature, contact_id, metadata) do\n    %__MODULE__{}\n    |> Ecto.Changeset.change(%{\n      feature: feature,\n      contact_id: contact_id,\n      metadata: metadata,\n      time: DateTime.utc_now()\n    })\n    |> DB.Repo.insert!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/geo_data/geo_data.ex",
    "content": "defmodule DB.GeoData do\n  @moduledoc \"\"\"\n  Stores any kind of geographical data, typically from a resource\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Query\n\n  typed_schema \"geo_data\" do\n    field(:geom, Geo.PostGIS.Geometry) :: Geo.geometry()\n    field(:payload, :map)\n    belongs_to(:geo_data_import, DB.GeoDataImport)\n  end\n\n  defp geo_data_subquery_init(geo_data_import_id) do\n    from(g in DB.GeoData,\n      where: g.geo_data_import_id == ^geo_data_import_id,\n      select: %{geom: g.geom}\n    )\n  end\n\n  def geo_data_as_geojson(%{id: geo_data_import_id}, add_fields_func) do\n    subquery = geo_data_import_id |> geo_data_subquery_init() |> add_fields_func.()\n\n    query =\n      from(g in subquery(subquery),\n        select:\n          fragment(\n            \"json_build_object('type', 'FeatureCollection', 'features', json_agg(ST_AsGeoJSON(?)::json))\",\n            g\n          )\n      )\n\n    query |> DB.Repo.one()\n  end\n\n  def count_lines_for_geo_data_import(nil), do: 0\n\n  @spec count_lines_for_geo_data_import(DB.GeoDataImport.t()) :: integer()\n  def count_lines_for_geo_data_import(geo_data_import) do\n    from(g in DB.GeoData, where: g.geo_data_import_id == ^geo_data_import.id, select: count(g.id)) |> DB.Repo.one!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/geo_data/geo_data_import.ex",
    "content": "defmodule DB.GeoDataImport do\n  @moduledoc \"\"\"\n  Links geo_data data with its source\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"geo_data_import\" do\n    belongs_to(:resource_history, DB.ResourceHistory)\n    field(:slug, Ecto.Enum, values: Transport.ConsolidatedDataset.geo_data_datasets() ++ [:gbfs_stations])\n    has_many(:geo_data, DB.GeoData)\n\n    timestamps(type: :utc_datetime_usec)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/gtfs/gtfs_agency.ex",
    "content": "defmodule DB.GTFS.Agency do\n  @moduledoc \"\"\"\n  This contains the information present in GTFS agency.txt files.\n  https://developers.google.com/transit/gtfs/reference?hl=fr#agencytxt\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"gtfs_agency\" do\n    belongs_to(:data_import, DB.DataImport)\n\n    field(:agency_id, :binary)\n    field(:agency_name, :binary)\n    field(:agency_url, :binary)\n    field(:agency_timezone, :binary)\n    field(:agency_lang, :binary)\n    field(:agency_phone, :binary)\n    field(:agency_fare_url, :binary)\n    field(:agency_email, :binary)\n    field(:cemv_support, :integer)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/gtfs/gtfs_calendar.ex",
    "content": "defmodule DB.GTFS.Calendar do\n  @moduledoc \"\"\"\n  This contains the information present in GTFS calendar.txt files.\n  https://developers.google.com/transit/gtfs/reference?hl=fr#calendartxt\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"gtfs_calendar\" do\n    belongs_to(:data_import, DB.DataImport)\n\n    field(:service_id, :binary)\n    field(:monday, :integer)\n    field(:tuesday, :integer)\n    field(:wednesday, :integer)\n    field(:thursday, :integer)\n    field(:friday, :integer)\n    field(:saturday, :integer)\n    field(:sunday, :integer)\n    field(:days, {:array, :integer})\n    field(:start_date, :date)\n    field(:end_date, :date)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/gtfs/gtfs_calendar_dates.ex",
    "content": "defmodule DB.GTFS.CalendarDates do\n  @moduledoc \"\"\"\n  This contains the information present in GTFS calendar_dates.txt files.\n  https://developers.google.com/transit/gtfs/reference?hl=fr#calendar_datestxt\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"gtfs_calendar_dates\" do\n    belongs_to(:data_import, DB.DataImport)\n\n    field(:service_id, :binary)\n    field(:date, :date)\n    field(:exception_type, :integer)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/gtfs/gtfs_stop.ex",
    "content": "defmodule DB.GTFS.Stops do\n  @moduledoc \"\"\"\n  This contains the information present in GTFS stops.txt files.\n  https://developers.google.com/transit/gtfs/reference?hl=fr#stopstxt\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"gtfs_stops\" do\n    belongs_to(:data_import, DB.DataImport)\n    field(:stop_id, :binary)\n    field(:stop_name, :binary)\n    field(:stop_lat, :float)\n    field(:stop_lon, :float)\n    field(:location_type, :integer)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/gtfs/gtfs_stop_times.ex",
    "content": "defmodule DB.GTFS.StopTimes do\n  @moduledoc \"\"\"\n  This contains the information present in GTFS stops.txt files.\n  https://developers.google.com/transit/gtfs/reference?hl=fr#stop_timestxt\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"gtfs_stop_times\" do\n    belongs_to(:data_import, DB.DataImport)\n    field(:trip_id, :binary)\n    field(:stop_id, :binary)\n    field(:stop_sequence, :integer)\n    field(:arrival_time, EctoInterval)\n    field(:departure_time, EctoInterval)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/gtfs/gtfs_trips.ex",
    "content": "defmodule DB.GTFS.Trips do\n  @moduledoc \"\"\"\n  This contains the information present in GTFS trips.txt files.\n  https://developers.google.com/transit/gtfs/reference?hl=fr#tripstxt\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"gtfs_trips\" do\n    belongs_to(:data_import, DB.DataImport)\n\n    field(:route_id, :binary)\n    field(:service_id, :binary)\n    field(:trip_id, :binary)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/hidden_reuser_alert.ex",
    "content": "defmodule DB.HiddenReuserAlert do\n  @moduledoc \"\"\"\n  Stores alerts hidden by reusers in their reuser space.\n  Each entry represents an alert that a user has chosen to hide for 7 days.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.{Changeset, Query}\n\n  @hide_duration_days 7\n\n  @type check_type :: :unavailable_resource | :expiring_resource | :invalid_resource | :recent_discussions\n\n  typed_schema \"hidden_reuser_alerts\" do\n    belongs_to(:contact, DB.Contact)\n    belongs_to(:dataset, DB.Dataset)\n\n    field(:check_type, Ecto.Enum,\n      values: [:unavailable_resource, :expiring_resource, :invalid_resource, :recent_discussions]\n    )\n\n    field(:resource_id, :integer)\n    field(:discussion_id, :string)\n    field(:hidden_until, :utc_datetime_usec)\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def base_query, do: from(hra in __MODULE__, as: :hidden_reuser_alert)\n\n  def changeset(struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, [:contact_id, :dataset_id, :check_type, :resource_id, :discussion_id, :hidden_until])\n    |> validate_required([:contact_id, :dataset_id, :check_type, :hidden_until])\n    |> assoc_constraint(:contact)\n    |> assoc_constraint(:dataset)\n    |> unique_constraint(\n      [:contact_id, :dataset_id, :check_type, :resource_id, :discussion_id],\n      name: :hidden_reuser_alerts_unique_index\n    )\n  end\n\n  @doc \"\"\"\n  Hides an alert for a contact for 7 days. Uses upsert to update hidden_until if the alert is already hidden.\n  \"\"\"\n  @spec hide!(DB.Contact.t(), DB.Dataset.t(), check_type(), keyword()) :: __MODULE__.t()\n  def hide!(%DB.Contact{id: contact_id}, %DB.Dataset{id: dataset_id}, check_type, opts \\\\ []) do\n    resource_id = Keyword.get(opts, :resource_id)\n    discussion_id = Keyword.get(opts, :discussion_id)\n    hidden_until = DateTime.utc_now() |> DateTime.add(@hide_duration_days, :day)\n\n    %__MODULE__{}\n    |> changeset(%{\n      contact_id: contact_id,\n      dataset_id: dataset_id,\n      check_type: check_type,\n      resource_id: resource_id,\n      discussion_id: discussion_id,\n      hidden_until: hidden_until\n    })\n    |> DB.Repo.insert!(\n      on_conflict: {:replace, [:hidden_until, :updated_at]},\n      conflict_target: {:unsafe_fragment, \"(contact_id, dataset_id, check_type, resource_id, discussion_id)\"}\n    )\n  end\n\n  @doc \"\"\"\n  Returns all active hidden alerts for a contact (where hidden_until > now).\n  \"\"\"\n  @spec active_hidden_alerts(DB.Contact.t()) :: [__MODULE__.t()]\n  def active_hidden_alerts(%DB.Contact{id: contact_id}) do\n    now = DateTime.utc_now()\n\n    base_query()\n    |> where([hidden_reuser_alert: hra], hra.contact_id == ^contact_id and hra.hidden_until > ^now)\n    |> DB.Repo.all()\n  end\n\n  @doc \"\"\"\n  Checks if a specific alert is hidden for a contact.\n  \"\"\"\n  @spec hidden?([__MODULE__.t()], integer(), check_type(), keyword()) :: boolean()\n  def hidden?(hidden_alerts, dataset_id, check_type, opts \\\\ []) do\n    resource_id = Keyword.get(opts, :resource_id)\n    discussion_id = Keyword.get(opts, :discussion_id)\n\n    Enum.any?(hidden_alerts, fn alert ->\n      alert.dataset_id == dataset_id and\n        alert.check_type == check_type and\n        alert.resource_id == resource_id and\n        alert.discussion_id == discussion_id\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/irve_valid_file.ex",
    "content": "defmodule DB.IRVEValidFile do\n  @moduledoc \"\"\"\n  IRVE file that has been validated and stored. This file refers to a datagouv resource and dataset\n  that is not imported on transport.data.gouv, so no reference to the dataset/resource tables.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"irve_valid_file\" do\n    field(:datagouv_dataset_id, :string, null: false)\n    field(:datagouv_resource_id, :string, null: false)\n    field(:checksum, :string, null: false)\n    field(:dataset_title, :string)\n    field(:datagouv_organization_or_owner, :string)\n    field(:datagouv_last_modified, :utc_datetime)\n    has_many(:irve_valid_pdcs, DB.IRVEValidPDC, foreign_key: :irve_valid_file_id)\n    timestamps(type: :utc_datetime_usec)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/irve_valid_pdc.ex",
    "content": "defmodule DB.IRVEValidPDC do\n  @moduledoc \"\"\"\n  IRVE Point de Charge (PDC) record from a validated IRVE file.\n  This schema reflects the IRVE static schema, plus a reference to the IRVE valid file it belongs to.\n  Generating data from raw CSV rows ready to be inserted in the database needs some preprocessing.\n  Use first Transport.IRVE.Processing for work on coordinates.\n  Then use `raw_data_to_schema/1` to filter out only valid fields and convert keys to atoms.\n  Finally use `insert_timestamps/1` to add inserted_at and updated_at timestamps before inserting in the database.\n  See Transport.IRVE.DatabaseImporter for a module that orchestrates the whole import process.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"irve_valid_pdc\" do\n    belongs_to(:irve_valid_file, DB.IRVEValidFile)\n\n    # IRVE Schema fields\n    field(:nom_amenageur, :string)\n    field(:siren_amenageur, :string)\n    field(:contact_amenageur, :string)\n    field(:nom_operateur, :string)\n    field(:contact_operateur, :string, null: false)\n    field(:telephone_operateur, :string)\n    field(:nom_enseigne, :string, null: false)\n    field(:id_station_itinerance, :string, null: false)\n    field(:id_station_local, :string)\n    field(:nom_station, :string, null: false)\n    field(:implantation_station, :string, null: false)\n    field(:adresse_station, :string, null: false)\n    field(:code_insee_commune, :string)\n    field(:nbre_pdc, :integer, null: false)\n    field(:id_pdc_itinerance, :string, null: false)\n    field(:id_pdc_local, :string)\n    field(:puissance_nominale, :decimal, null: false)\n    field(:prise_type_ef, :boolean, null: false)\n    field(:prise_type_2, :boolean, null: false)\n    field(:prise_type_combo_ccs, :boolean, null: false)\n    field(:prise_type_chademo, :boolean, null: false)\n    field(:prise_type_autre, :boolean, null: false)\n    field(:gratuit, :boolean)\n    field(:paiement_acte, :boolean, null: false)\n    field(:paiement_cb, :boolean)\n    field(:paiement_autre, :boolean)\n    field(:tarification, :string)\n    field(:condition_acces, :string, null: false)\n    field(:reservation, :boolean, null: false)\n    field(:horaires, :string, null: false)\n    field(:accessibilite_pmr, :string, null: false)\n    field(:restriction_gabarit, :string, null: false)\n    field(:station_deux_roues, :boolean, null: false)\n    field(:raccordement, :string)\n    field(:num_pdl, :string)\n    field(:date_mise_en_service, :date)\n    field(:observations, :string)\n    field(:date_maj, :date, null: false)\n    field(:cable_t2_attache, :boolean)\n    field(:longitude, :decimal, null: false)\n    field(:latitude, :decimal, null: false)\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def raw_data_to_schema(raw_data) do\n    raw_data\n    |> Enum.filter(fn {k, _v} -> k in valid_fields() end)\n    |> Enum.into(%{}, fn {k, v} -> {String.to_existing_atom(k), v} end)\n  end\n\n  def insert_timestamps(data) do\n    now = DateTime.utc_now()\n\n    data\n    |> Map.put(:inserted_at, now)\n    |> Map.put(:updated_at, now)\n  end\n\n  defp valid_fields,\n    do: Transport.IRVE.StaticIRVESchema.field_names_list() ++ [\"id\", \"irve_valid_file_id\", \"longitude\", \"latitude\"]\nend\n"
  },
  {
    "path": "apps/transport/lib/db/logs_import.ex",
    "content": "defmodule DB.LogsImport do\n  @moduledoc \"\"\"\n  LogsImport schema\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  alias DB.Dataset\n\n  typed_schema \"logs_import\" do\n    field(:datagouv_id, :string)\n    field(:timestamp, :utc_datetime)\n    field(:is_success, :boolean)\n    field(:error_msg, :string)\n    belongs_to(:dataset, Dataset)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/metrics.ex",
    "content": "defmodule DB.Metrics do\n  @moduledoc \"\"\"\n  A quick metric schema to count bucketed events, until a moment may come\n  where we'll outgrow this and use timescaledb or similar instead.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Query\n\n  typed_schema \"metrics\" do\n    field(:target, :string)\n    field(:event, :string)\n    field(:period, :utc_datetime)\n    field(:count, :integer)\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  @doc \"\"\"\n  Counts the number of external and internal request for a resource over a given\n  number of days.\n  \"\"\"\n  def requests_over_last_days(%DB.Resource{} = resource, days) when is_integer(days) and days > 0 do\n    namespace = DB.Resource.proxy_namespace(resource)\n    date_from = %{DateTime.utc_now() | hour: 0, minute: 0, second: 0} |> DateTime.add(-days, :day)\n    target = Enum.join([namespace, DB.Resource.proxy_slug(resource)], \":\")\n    external_event = Enum.join([namespace, \"request\", \"external\"], \":\")\n    internal_event = Enum.join([namespace, \"request\", \"internal\"], \":\")\n\n    query =\n      from(m in DB.Metrics,\n        group_by: fragment(\"date\"),\n        order_by: fragment(\"date\"),\n        where: m.period >= ^date_from and m.target == ^target,\n        select: %{\n          date: fragment(\"?::date as date\", m.period),\n          requests_external:\n            fragment(\n              \"sum(case when ? = ? then ? else 0 end) as requests_external\",\n              m.event,\n              ^external_event,\n              m.count\n            ),\n          requests_internal:\n            fragment(\n              \"sum(case when ? = ? then ? else 0 end) as requests_internal\",\n              m.event,\n              ^internal_event,\n              m.count\n            )\n        }\n      )\n\n    query |> DB.Repo.all()\n  end\n\n  def proxy_requests(resources) do\n    targets =\n      Enum.map(resources, fn resource ->\n        Enum.join([DB.Resource.proxy_namespace(resource), DB.Resource.proxy_slug(resource)], \":\")\n      end)\n\n    from(m in DB.Metrics,\n      group_by: [fragment(\"month\"), m.target, m.event],\n      order_by: [fragment(\"month\"), m.event, m.target],\n      where: m.target in ^targets,\n      select: %{\n        month: fragment(\"left(?::varchar, 7) as month\", m.period),\n        target: m.target,\n        event: m.event,\n        count: sum(m.count)\n      }\n    )\n    |> DB.Repo.all()\n  end\n\n  @doc \"\"\"\n  A function to compute the total count of event per identifier/event\n  for the last N days. You can optionally keep only a given\n  list of events.\n  \"\"\"\n  def for_last_days(days, only_events \\\\ []) when is_integer(days) and days > 0 do\n    date_from = DateTime.add(DateTime.utc_now(), -days * 24 * 60 * 60, :second)\n\n    filter_events =\n      if Enum.empty?(only_events) do\n        true\n      else\n        dynamic([m], m.event in ^only_events)\n      end\n\n    query =\n      from(m in DB.Metrics,\n        group_by: [m.target, m.event],\n        where: m.period >= ^date_from,\n        where: ^filter_events,\n        select: %{sum: sum(m.count), target: m.target, event: m.event}\n      )\n\n    query\n    |> DB.Repo.all()\n    |> Enum.group_by(fn x -> x[:target] end)\n    |> Enum.into(%{}, fn {k, v} ->\n      {k, Enum.into(v, %{}, fn x -> {x[:event], x[:sum]} end)}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/multi_validation.ex",
    "content": "defmodule DB.MultiValidation do\n  @moduledoc \"\"\"\n  Validation model allowing multiple validations on the same data\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Query\n\n  typed_schema \"multi_validation\" do\n    field(:validation_timestamp, :utc_datetime_usec)\n    field(:validator, :string)\n    field(:validator_version, :string)\n    field(:command, :string)\n    field(:result, :map, load_in_query: false)\n    field(:data_vis, :map)\n    field(:max_error, :string)\n\n    # if the validation is enqueued via Oban, this field contains the job arguments\n    # and its status (waiting, completed, etc)\n    field(:oban_args, :map)\n\n    belongs_to(:resource, DB.Resource)\n    belongs_to(:resource_history, DB.ResourceHistory)\n    field(:validated_data_name, :string)\n\n    belongs_to(:secondary_resource, DB.Resource, foreign_key: :secondary_resource_id)\n    belongs_to(:secondary_resource_history, DB.ResourceHistory, foreign_key: :secondary_resource_history_id)\n    field(:secondary_validated_data_name, :string)\n\n    has_one(:metadata, DB.ResourceMetadata)\n    timestamps(type: :utc_datetime_usec)\n\n    field(:digest, :map)\n    field(:binary_result, :binary, load_in_query: false)\n  end\n\n  def base_query(opts \\\\ []) do\n    include_result = Keyword.get(opts, :include_result, false)\n    include_binary_result = Keyword.get(opts, :include_binary_result, false)\n\n    query = from(mv in DB.MultiValidation, as: :multi_validation)\n\n    query =\n      if include_result do\n        from(mv in query, select_merge: %{result: mv.result})\n      else\n        query\n      end\n\n    if include_binary_result do\n      from(mv in query, select_merge: %{binary_result: mv.binary_result})\n    else\n      query\n    end\n  end\n\n  def with_result do\n    base_query(include_result: true)\n  end\n\n  @doc \"\"\"\n  joins the query with the latest validation, given a validator name or a list of validator names\n  \"\"\"\n  @spec join_resource_history_with_latest_validation(Ecto.Query.t(), binary() | [binary()]) :: Ecto.Query.t()\n  def join_resource_history_with_latest_validation(query, validator) do\n    latest_validation = multi_validation_subquery(validator)\n\n    query\n    |> join(:inner, [resource_history: rh], mv in DB.MultiValidation,\n      on: mv.resource_history_id == rh.id,\n      as: :multi_validation\n    )\n    |> join(:inner_lateral, [multi_validation: mv], latest in subquery(latest_validation), on: latest.id == mv.id)\n  end\n\n  defp multi_validation_subquery(v) do\n    DB.MultiValidation\n    |> where(\n      [mv],\n      mv.resource_history_id == parent_as(:resource_history).id\n    )\n    |> filter_on_validator(v)\n    |> order_by([mv], desc: :inserted_at)\n    |> select([mv], mv.id)\n    |> limit(1)\n  end\n\n  defp filter_on_validator(query, validator_names) when is_list(validator_names) do\n    query\n    |> where([mv], mv.validator in ^validator_names)\n  end\n\n  defp filter_on_validator(query, validator_name) do\n    query\n    |> where([mv], mv.validator == ^validator_name)\n  end\n\n  @spec already_validated?(DB.ResourceHistory.t(), module()) :: boolean()\n  def already_validated?(%DB.ResourceHistory{id: id}, validator) do\n    validator_name = validator.validator_name()\n\n    DB.MultiValidation\n    |> where([mv], mv.validator == ^validator_name and mv.resource_history_id == ^id)\n    |> DB.Repo.exists?()\n  end\n\n  @spec resource_latest_validation(integer(), atom | nil, keyword()) :: __MODULE__.t() | nil\n  def resource_latest_validation(resource_id, validator, opts \\\\ [])\n\n  def resource_latest_validation(_, nil, _), do: nil\n\n  def resource_latest_validation(resource_id, validator, opts) when is_atom(validator) do\n    validator_name = validator.validator_name()\n\n    DB.MultiValidation.base_query(opts)\n    |> join(:left, [mv], rh in DB.ResourceHistory,\n      on: rh.id == mv.resource_history_id and rh.resource_id == ^resource_id\n    )\n    |> join(:left, [mv, rh], r in DB.Resource, on: r.id == mv.resource_id and r.id == ^resource_id)\n    |> where([mv, rh, r], mv.validator == ^validator_name and (not is_nil(rh.id) or not is_nil(r.id)))\n    |> order_by([mv, rh, r], desc: rh.inserted_at, desc: r.id, desc: mv.validation_timestamp)\n    |> preload([:metadata, :resource_history])\n    |> limit(1)\n    # NOTE: do not use named prepared statement here, since it is big & not unallocated, apparently\n    |> DB.Repo.one(prepare: :unnamed)\n  end\n\n  @spec resource_latest_validations(integer(), atom, DateTime.t(), keyword()) :: [__MODULE__.t()]\n  def resource_latest_validations(resource_id, validator, %DateTime{} = date_from, opts \\\\ []) do\n    validator_name = validator.validator_name()\n\n    DB.MultiValidation.base_query(opts)\n    |> where([mv], mv.validator == ^validator_name and mv.resource_id == ^resource_id and mv.inserted_at >= ^date_from)\n    |> order_by([mv], asc: mv.validation_timestamp)\n    |> DB.Repo.all()\n  end\n\n  @spec resource_history_latest_validation(integer(), atom | nil) :: __MODULE__.t() | nil\n  def resource_history_latest_validation(_, nil), do: nil\n\n  def resource_history_latest_validation(resource_history_id, validator) when is_atom(validator) do\n    validator_name = validator.validator_name()\n\n    DB.MultiValidation\n    |> join(:inner, [mv], rh in DB.ResourceHistory,\n      on: rh.id == mv.resource_history_id and rh.id == ^resource_history_id\n    )\n    |> where([mv, rh], mv.validator == ^validator_name)\n    |> order_by([mv, _rh], desc: mv.validation_timestamp)\n    |> preload(:metadata)\n    |> limit(1)\n    |> DB.Repo.one()\n  end\n\n  @spec dataset_latest_validation(integer(), [module()], keyword()) :: map\n  def dataset_latest_validation(dataset_id, validators, opts \\\\ []) do\n    validators_names = validators |> Enum.map(fn v -> v.validator_name() end)\n\n    resource_history_query =\n      DB.ResourceHistory.base_query()\n      |> where([resource_history: rh], parent_as(:resource).id == rh.resource_id)\n      |> order_by([resource_history: rh], desc: rh.inserted_at)\n      |> limit(1)\n\n    multi_validation_query =\n      DB.MultiValidation.base_query(opts)\n      |> where(\n        [multi_validation: mv],\n        parent_as(:resource).id == mv.resource_id or parent_as(:rh).id == mv.resource_history_id\n      )\n      |> where([multi_validation: mv], mv.validator in ^validators_names)\n      |> order_by([multi_validation: mv], desc: mv.validation_timestamp)\n      |> distinct([multi_validation: mv], [mv.resource_history_id, mv.resource_id, mv.validator])\n\n    resource_metadata_query =\n      DB.ResourceMetadata.base_query()\n      |> where([metadata: rm], parent_as(:mv).id == rm.multi_validation_id)\n\n    DB.Resource.base_query()\n    |> join(:left_lateral, [], rh in subquery(resource_history_query), on: true, as: :rh)\n    |> join(:left_lateral, [], mv in subquery(multi_validation_query), on: true, as: :mv)\n    |> join(:left_lateral, [], rm in subquery(resource_metadata_query), on: true, as: :rm)\n    |> where([resource: r], r.dataset_id == ^dataset_id)\n    |> select([resource: r, mv: mv, rm: rm], {r.id, mv, rm})\n    |> DB.Repo.all()\n    |> Enum.group_by(fn {k, _, _} -> k end, fn {_, mv, metadata} ->\n      if is_nil(mv) do\n        nil\n      else\n        Map.put(mv, :metadata, metadata)\n      end\n    end)\n  end\n\n  @doc \"\"\"\n  Get a metadata field, given a preloaded multi_validation struct. Returns nil if it fails.\n\n  iex> get_metadata_info(%DB.MultiValidation{metadata: %DB.ResourceMetadata{metadata: %{age: 11}}}, :age)\n  11\n  iex> get_metadata_info(%DB.MultiValidation{metadata: %DB.ResourceMetadata{metadata: %{age: 11}}}, :foo)\n  nil\n  iex> get_metadata_info(nil, :foo)\n  nil\n  iex> get_metadata_info(nil, :foo, [])\n  []\n  \"\"\"\n  def get_metadata_info(multi_validation, metadata_key, default \\\\ nil)\n\n  def get_metadata_info(%__MODULE__{metadata: %DB.ResourceMetadata{metadata: metadata}}, metadata_key, default) do\n    Map.get(metadata, metadata_key, default)\n  end\n\n  def get_metadata_info(_, _, default), do: default\n\n  @doc \"\"\"\n  Get modes from the metadata, given a preloaded multi_validation struct. Returns nil if it fails.\n\n  iex> get_metadata_modes(%DB.MultiValidation{metadata: %DB.ResourceMetadata{modes: [\"foo\"]}}, :default)\n  [\"foo\"]\n  iex> get_metadata_modes(%DB.MultiValidation{metadata: nil}, :foo)\n  :foo\n  \"\"\"\n  def get_metadata_modes(multi_validation, default \\\\ nil)\n  def get_metadata_modes(%__MODULE__{metadata: %DB.ResourceMetadata{modes: modes}}, _), do: modes\n  def get_metadata_modes(_, default), do: default\n\n  @doc \"\"\"\n  - true if the resource associated with the validation is outdated.\n  - false if not.\n  - nil if we don't know.\n\n  iex> validation = %DB.MultiValidation{metadata: %DB.ResourceMetadata{metadata: %{\"end_date\" => \"1900-01-01\"}}}\n  iex> outdated?(validation)\n  true\n  iex> validation = %DB.MultiValidation{metadata: %DB.ResourceMetadata{metadata: %{\"end_date\" => \"2900-01-01\"}}}\n  iex> outdated?(validation)\n  false\n  iex> outdated?(%DB.MultiValidation{})\n  nil\n  iex> validation = %DB.MultiValidation{metadata: %DB.ResourceMetadata{metadata: %{\"end_date\" => \"\"}}}\n  iex> outdated?(validation)\n  nil\n  iex> validation = %DB.MultiValidation{metadata: %DB.ResourceMetadata{metadata: %{\"end_date\" => Date.utc_today() |> Date.to_iso8601()}}}\n  iex> outdated?(validation)\n  true\n  \"\"\"\n  def outdated?(%DB.MultiValidation{} = multi_validation) do\n    case DB.MultiValidation.get_metadata_info(multi_validation, \"end_date\") do\n      nil ->\n        nil\n\n      \"\" ->\n        nil\n\n      end_date ->\n        end_date |> Date.from_iso8601!() |> Date.compare(Date.utc_today()) !== :gt\n    end\n  end\n\n  def outdated?(_), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/db/notification.ex",
    "content": "defmodule DB.Notification do\n  @moduledoc \"\"\"\n  A list of emails notifications sent, with email addresses encrypted\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n  import Ecto.Query\n  import Transport.NotificationReason\n\n  typed_schema \"notifications\" do\n    field(:reason, Ecto.Enum, values: all_reasons())\n\n    belongs_to(:dataset, DB.Dataset)\n    belongs_to(:contact, DB.Contact)\n    belongs_to(:notification_subscription, DB.NotificationSubscription)\n    # `dataset_datagouv_id` may be useful if the linked dataset gets deleted\n    field(:dataset_datagouv_id, :string)\n    field(:email, DB.Encrypted.Binary)\n    # Should be used to search rows matching an email address\n    # https://hexdocs.pm/cloak_ecto/install.html#usage\n    field(:email_hash, Cloak.Ecto.SHA256)\n    # Possible roles come from Transport.NotificationReason\n    field(:role, Ecto.Enum, values: possible_roles())\n    field(:payload, :map)\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def base_query, do: from(n in __MODULE__, as: :notification)\n\n  # This `insert!/1` clause should be used when saving notifications\n  # without a subscriptions.\n  # This is used for unavoidable notifications: warning about inactivity,\n  # periodic reminder, promoting user spaces etc.\n  def insert!(args) when is_map(args), do: %__MODULE__{} |> changeset(args) |> DB.Repo.insert!()\n\n  def insert!(\n        %DB.NotificationSubscription{\n          id: ns_id,\n          role: role,\n          reason: reason,\n          contact: %DB.Contact{id: contact_id, email: email}\n        },\n        %{} = payload\n      ) do\n    insert!(%{\n      notification_subscription_id: ns_id,\n      role: role,\n      reason: reason,\n      contact_id: contact_id,\n      email: email,\n      payload: payload\n    })\n  end\n\n  def insert!(\n        %DB.Dataset{id: dataset_id, datagouv_id: datagouv_id},\n        %DB.NotificationSubscription{\n          id: ns_id,\n          role: role,\n          reason: reason,\n          contact: %DB.Contact{id: contact_id, email: email}\n        },\n        # `payload` should always include a `job_id` to find other\n        # `DB.Notification` rows that have been sent in the same batch.\n        %{job_id: _} = payload\n      ) do\n    insert!(%{\n      role: role,\n      reason: reason,\n      dataset_id: dataset_id,\n      dataset_datagouv_id: datagouv_id,\n      contact_id: contact_id,\n      email: email,\n      notification_subscription_id: ns_id,\n      payload: payload\n    })\n  end\n\n  @doc \"\"\"\n  Gets a list of notifications' reasons and times sent related to a specific dataset over a given number of days.\n  \"\"\"\n  @spec recent_reasons(DB.Dataset.t(), pos_integer()) :: [%{reason: atom, timestamp: DateTime.t()}]\n  def recent_reasons(%DB.Dataset{id: dataset_id}, nb_days) when is_integer(nb_days) and nb_days > 0 do\n    datetime_limit = DateTime.add(DateTime.utc_now(), -nb_days, :day)\n\n    enabled_reasons = [\n      reason(:dataset_with_error),\n      reason(:expiration),\n      reason(:resource_unavailable)\n    ]\n\n    base_query()\n    |> where([notification: n], not is_nil(n.payload))\n    |> where([notification: n], n.reason in ^enabled_reasons and n.role == :producer)\n    |> where([notification: n], n.inserted_at >= ^datetime_limit and n.dataset_id == ^dataset_id)\n    |> group_by([notification: n], [fragment(\"?->'job_id'\", n.payload), n.reason, n.payload])\n    |> order_by([notification: n], desc: min(n.inserted_at))\n    |> select([notification: n], %{\n      reason: n.reason,\n      timestamp: min(n.inserted_at),\n      payload: first_value(n.payload) |> over(partition_by: fragment(\"?->'job_id'\", n.payload))\n    })\n    |> DB.Repo.all()\n  end\n\n  def changeset(struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, [\n      :reason,\n      :dataset_id,\n      :dataset_datagouv_id,\n      :contact_id,\n      :notification_subscription_id,\n      :email,\n      :role,\n      :payload\n    ])\n    |> validate_required([:reason, :email, :role])\n    |> validate_format(:email, ~r/@/)\n    |> put_hashed_fields()\n    |> DB.NotificationSubscription.validate_reason_by_role()\n    |> DB.NotificationSubscription.validate_reason_by_scope()\n  end\n\n  defp put_hashed_fields(%Ecto.Changeset{} = changeset) do\n    changeset |> put_change(:email_hash, get_field(changeset, :email))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/notification_subscription.ex",
    "content": "defmodule DB.NotificationSubscription do\n  @moduledoc \"\"\"\n  Represents a subscription to a notification type for a `DB.Contact`\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.{Changeset, Query}\n  import Transport.NotificationReason\n\n  typed_schema \"notification_subscription\" do\n    field(:reason, Ecto.Enum, values: all_reasons())\n\n    # The subscription source:\n    # - `:admin`: created by an admin from the backoffice\n    # - `:user`: by the user using self-service tools\n    # - `automation:<slug>`: created by the system, the slug adds more details about the source\n    field(:source, Ecto.Enum,\n      values: [\n        :admin,\n        :user,\n        :\"automation:promote_producer_space\",\n        :\"automation:migrate_from_reuser_to_producer\",\n        :\"automation:import_contact_point\",\n        :\"automation:gbfs_feed_contact_email\"\n      ]\n    )\n\n    field(:role, Ecto.Enum, values: possible_roles())\n\n    belongs_to(:contact, DB.Contact)\n    belongs_to(:dataset, DB.Dataset)\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def base_query, do: from(ns in __MODULE__, as: :notification_subscription)\n\n  def join_with_contact(query) do\n    query\n    |> join(:inner, [notification_subscription: ns], c in DB.Contact, on: ns.contact_id == c.id, as: :contact)\n  end\n\n  def insert(%{} = fields), do: %__MODULE__{} |> changeset(fields) |> DB.Repo.insert()\n  def insert!(%{} = fields), do: %__MODULE__{} |> changeset(fields) |> DB.Repo.insert!()\n\n  def changeset(struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, [:contact_id, :dataset_id, :reason, :source, :role])\n    |> validate_required([:contact_id, :reason, :source, :role])\n    |> assoc_constraint(:contact)\n    |> maybe_assoc_constraint_dataset()\n    |> unique_constraint([:contact_id, :dataset_id, :reason],\n      name: :notification_subscription_contact_id_dataset_id_reason_index\n    )\n    |> validate_reason_is_allowed_for_subscriptions()\n    |> validate_reason_by_role()\n    |> validate_reason_by_scope()\n  end\n\n  defp maybe_assoc_constraint_dataset(%Ecto.Changeset{} = changeset) do\n    if is_nil(get_field(changeset, :dataset_id)) do\n      changeset\n    else\n      changeset |> assoc_constraint(:dataset)\n    end\n  end\n\n  @spec subscriptions_for_reason_dataset_and_role(\n          Transport.NotificationReason.dataset_reason(),\n          DB.Dataset.t(),\n          Transport.NotificationReason.role()\n        ) :: [__MODULE__.t()]\n  def subscriptions_for_reason_dataset_and_role(reason, %DB.Dataset{id: dataset_id}, role) do\n    base_query()\n    |> preload([:contact])\n    |> where(\n      [notification_subscription: ns],\n      ns.reason == ^reason and ns.dataset_id == ^dataset_id and ns.role == ^role\n    )\n    |> order_by([ns], {:asc, ns.id})\n    |> DB.Repo.all()\n  end\n\n  @spec subscriptions_for_reason_and_role(\n          Transport.NotificationReason.platform_reason(),\n          Transport.NotificationReason.role()\n        ) :: [__MODULE__.t()]\n  def subscriptions_for_reason_and_role(reason, role) do\n    base_query()\n    |> preload([:contact])\n    |> where([notification_subscription: ns], ns.reason == ^reason and is_nil(ns.dataset_id) and ns.role == ^role)\n    |> DB.Repo.all()\n  end\n\n  def producer_subscriptions_for_datasets(dataset_ids, contact_id) do\n    DB.NotificationSubscription.base_query()\n    |> preload(:contact)\n    |> where(\n      [notification_subscription: ns],\n      ns.role == :producer and\n        ns.dataset_id in ^dataset_ids and\n        ns.reason in ^subscribable_reasons_related_to_datasets(:producer)\n    )\n    |> DB.Repo.all()\n    # transport.data.gouv.fr's members who are subscribed as \"producers\" shouldn't be included.\n    # they are dogfooding the feature\n    |> filter_out_admin_subscription(contact_id)\n    # Alphabetical order (and helps tests)\n    |> Enum.sort_by(&DB.Contact.display_name(&1.contact))\n  end\n\n  def filter_out_admin_subscription(subscriptions, contact_id) do\n    admin_ids = DB.Contact.admin_contact_ids()\n\n    if contact_id in admin_ids do\n      subscriptions\n    else\n      Enum.reject(subscriptions, fn %DB.NotificationSubscription{contact: %DB.Contact{id: contact_id}} ->\n        contact_id in admin_ids\n      end)\n    end\n  end\n\n  @spec subscriptions_for_dataset_and_role(DB.Dataset.t(), Transport.NotificationReason.role()) :: [__MODULE__.t()]\n  def subscriptions_for_dataset_and_role(%DB.Dataset{id: dataset_id}, role) do\n    base_query()\n    |> preload([:contact])\n    |> where([notification_subscription: ns], ns.dataset_id == ^dataset_id and ns.role == ^role)\n    |> DB.Repo.all()\n  end\n\n  @doc \"\"\"\n  Creates producer subscriptions for a given dataset, contact and notification source for all reasons.\n  \"\"\"\n  def create_producer_subscriptions(%DB.Dataset{id: dataset_id}, %DB.Contact{id: contact_id}, source) do\n    existing_reasons =\n      DB.NotificationSubscription.base_query()\n      |> where(\n        [notification_subscription: ns],\n        ns.dataset_id == ^dataset_id and ns.role == :producer and ns.contact_id == ^contact_id\n      )\n      |> select([notification_subscription: ns], ns.reason)\n      |> DB.Repo.all()\n      |> MapSet.new()\n\n    Transport.NotificationReason.subscribable_reasons_related_to_datasets(:producer)\n    |> MapSet.new()\n    |> MapSet.difference(existing_reasons)\n    |> Enum.each(fn reason ->\n      DB.NotificationSubscription.insert!(%{\n        role: :producer,\n        source: source,\n        reason: reason,\n        contact_id: contact_id,\n        dataset_id: dataset_id\n      })\n    end)\n  end\n\n  @doc \"\"\"\n  Given a dataset, contact and notification source, delete other producer subscriptions for the same dataset and source.\n  \"\"\"\n  def delete_other_producers_subscriptions(%DB.Dataset{id: dataset_id}, %DB.Contact{id: contact_id}, source) do\n    DB.NotificationSubscription.base_query()\n    |> where([notification_subscription: ns], ns.dataset_id == ^dataset_id and ns.contact_id != ^contact_id)\n    |> where([notification_subscription: ns], ns.role == :producer and ns.source == ^source)\n    |> DB.Repo.delete_all()\n  end\n\n  def delete_other_producers_subscriptions(%DB.Dataset{id: dataset_id}, contact_ids, source)\n      when is_list(contact_ids) do\n    DB.NotificationSubscription.base_query()\n    |> where([notification_subscription: ns], ns.dataset_id == ^dataset_id and ns.contact_id not in ^contact_ids)\n    |> where([notification_subscription: ns], ns.role == :producer and ns.source == ^source)\n    |> DB.Repo.delete_all()\n  end\n\n  defp validate_reason_is_allowed_for_subscriptions(changeset) do\n    reason = get_field(changeset, :reason)\n\n    if reason in subscribable_reasons() do\n      changeset\n    else\n      add_error(changeset, :reason, \"is not allowed for subscription\")\n    end\n  end\n\n  #  The two following functions are also used for the DB.Notification chaneset!\n  def validate_reason_by_role(changeset) do\n    role = get_field(changeset, :role)\n    reason = get_field(changeset, :reason)\n\n    if reason in reasons_for_role(role) do\n      changeset\n    else\n      add_error(changeset, :reason, \"is not allowed for the given role\")\n    end\n  end\n\n  def validate_reason_by_scope(changeset) do\n    reason = get_field(changeset, :reason)\n    dataset_id = get_field(changeset, :dataset_id)\n\n    cond do\n      dataset_id == nil && reason in platform_wide_reasons() -> changeset\n      dataset_id != nil && reason in reasons_related_to_datasets() -> changeset\n      true -> add_error(changeset, :reason, \"is not allowed for the given dataset presence\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/offer.ex",
    "content": "defmodule DB.Offer do\n  @moduledoc \"\"\"\n  Represents transport offers.\n  \"\"\"\n  use TypedEctoSchema\n  use Ecto.Schema\n  import Ecto.Changeset\n\n  typed_schema \"offer\" do\n    field(:nom_commercial, :string)\n    field(:identifiant_offre, :integer)\n    field(:type_transport, :string)\n    field(:modes, {:array, :string})\n    field(:nom_aom, :string)\n    field(:aom_siren, :string)\n    field(:niveau, :string)\n    field(:exploitant, :string)\n    field(:type_contrat, :string)\n    field(:territoire, :string)\n\n    timestamps(type: :utc_datetime_usec)\n\n    belongs_to(:aom, DB.AOM)\n  end\n\n  def changeset(model, attrs) do\n    model\n    |> cast(attrs, [\n      :nom_commercial,\n      :identifiant_offre,\n      :type_transport,\n      :nom_aom,\n      :aom_siren,\n      :niveau,\n      :exploitant,\n      :type_contrat,\n      :territoire\n    ])\n    |> transform_modes(attrs)\n    |> add_aom(attrs)\n    |> validate_required([\n      :nom_commercial,\n      :identifiant_offre,\n      :type_transport,\n      :modes,\n      :nom_aom,\n      :aom_siren,\n      :niveau,\n      :territoire\n    ])\n  end\n\n  defp transform_modes(%Ecto.Changeset{} = changeset, %{\"modes\" => modes}) do\n    put_change(changeset, :modes, String.split(modes, \" \"))\n  end\n\n  defp add_aom(%Ecto.Changeset{} = changeset, %{\"aom_siren\" => aom_siren, \"nom_aom\" => nom_aom}) do\n    aom =\n      try do\n        DB.Repo.get_by(DB.AOM, siren: aom_siren)\n      rescue\n        Ecto.MultipleResultsError ->\n          DB.Repo.get_by(DB.AOM, nom: nom_aom)\n      end\n\n    put_assoc(changeset, :aom, aom)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/organization.ex",
    "content": "defmodule DB.Organization do\n  @moduledoc \"\"\"\n  Represents an organization on data.gouv.fr\n  \"\"\"\n  use TypedEctoSchema\n  use Ecto.Schema\n  import Ecto.Changeset\n  import Ecto.Query\n\n  @primary_key {:id, :string, []}\n\n  typed_schema \"organization\" do\n    field(:slug, :string)\n    field(:name, :string)\n    field(:acronym, :string)\n    field(:logo, :string)\n    field(:logo_thumbnail, :string)\n    field(:badges, {:array, :map})\n    field(:metrics, :map)\n    field(:created_at, :utc_datetime_usec)\n\n    many_to_many(:contacts, DB.Contact, join_through: \"contacts_organizations\", on_replace: :delete)\n    has_many(:datasets, DB.Dataset)\n    has_many(:tokens, DB.Token)\n  end\n\n  def base_query, do: from(o in __MODULE__, as: :organization)\n\n  def changeset(struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, [:id, :slug, :name, :acronym, :logo, :logo_thumbnail, :badges, :metrics, :created_at])\n    |> validate_required([:id, :slug, :name, :badges])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/postgrex_types.ex",
    "content": "Postgrex.Types.define(DB.PostgrexTypes, [Geo.PostGIS.Extension], [])\n"
  },
  {
    "path": "apps/transport/lib/db/processing_report.ex",
    "content": "defmodule DB.ProcessingReport do\n  @moduledoc \"\"\"\n  A generic reporting structure used to store a JSON-type report.\n\n  Currently only used for IRVE, which means I've not added a column to\n  namespace that and allow expanded use (this will be added later).\n  \"\"\"\n\n  use Ecto.Schema\n  import Ecto.Changeset\n\n  schema \"processing_reports\" do\n    field(:content, :map)\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  @doc false\n  def changeset(processing_report, attrs) do\n    processing_report\n    |> cast(attrs, [:content])\n    |> validate_required([])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/proxy_request.ex",
    "content": "defmodule DB.ProxyRequest do\n  @moduledoc \"\"\"\n  Represents a HTTP request made to the proxy.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  @primary_key false\n\n  typed_schema \"proxy_request\" do\n    field(:time, :utc_datetime_usec)\n    field(:proxy_id, :string)\n    belongs_to(:token, DB.Token)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/region.ex",
    "content": "defmodule DB.Region do\n  @moduledoc \"\"\"\n  Region schema\n\n  There's a trigger on postgres on updates, it force an update of dataset\n  in order to have an up-to-date search vector\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  alias DB.{AOM, Departement}\n  alias Geo.MultiPolygon\n\n  typed_schema \"region\" do\n    field(:nom, :string)\n    field(:insee, :string)\n    field(:geom, Geo.PostGIS.Geometry, load_in_query: false) :: MultiPolygon.t()\n\n    has_many(:aoms, AOM)\n    has_many(:departements, Departement, foreign_key: :region_insee, references: :insee)\n  end\n\n  def national, do: DB.Repo.get_by!(DB.Region, nom: \"National\")\nend\n"
  },
  {
    "path": "apps/transport/lib/db/repo.ex",
    "content": "defmodule DB.Repo do\n  use Ecto.Repo,\n    otp_app: :transport,\n    adapter: Ecto.Adapters.Postgres\n\n  use Scrivener, page_size: 20\nend\n"
  },
  {
    "path": "apps/transport/lib/db/resource.ex",
    "content": "defmodule DB.Resource do\n  @moduledoc \"\"\"\n  Resource model\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  alias DB.{Dataset, Repo, ResourceUnavailability}\n  import Ecto.{Changeset, Query}\n  import TransportWeb.Router.Helpers, only: [conversion_url: 4, resource_url: 3, resource_url: 4]\n  require Logger\n\n  typed_schema \"resource\" do\n    # The resource's real URL\n    field(:url, :string)\n    field(:format, :string)\n    field(:format_override, :string)\n    field(:last_import, :utc_datetime_usec)\n    field(:title, :string)\n    field(:last_update, :utc_datetime_usec)\n    # data.gouv.fr's stable URL:\n    # - for resources hosted on data.gouv.fr it redirects to static.data.gouv.fr\n    # - for others, it points to the final URL\n    field(:latest_url, :string)\n    field(:is_available, :boolean, default: true)\n\n    field(:is_community_resource, :boolean)\n\n    # the declared official schema used by the resource\n    field(:schema_name, :string)\n    field(:schema_version, :string)\n\n    # only relevant for community resources, name of the owner or the organization that published the resource\n    field(:community_resource_publisher, :string)\n    field(:description, :string)\n\n    # some community resources have been generated from another dataset (like the generated NeTEx / GeoJson)\n    field(:original_resource_url, :string)\n\n    # Id of the datagouv resource. Note that several resources can have the same datagouv_id\n    # because one datagouv resource can be a CSV linking to several transport.data.gouv's resources\n    # (this is done for OpenDataSoft)\n    field(:datagouv_id, :string)\n\n    field(:filesize, :integer)\n    # Can be `remote` or `file`. `file` are for files uploaded and hosted\n    # on data.gouv.fr\n    field(:filetype, :string)\n    # The resource's type on data.gouv.fr\n    # https://github.com/opendatateam/udata/blob/fab505fd9159c6a9f63e3cb55f0d6479b7ca91e2/udata/core/dataset/models.py#L89-L96\n    # Example: `main`, `documentation`, `api`, `code` etc.\n    field(:type, :string)\n    field(:display_position, :integer)\n\n    # a JSON field used to compute and keep a counter cache of costly\n    # elements, so that queries can be optimized\n    field(:counter_cache, :map)\n\n    belongs_to(:dataset, Dataset)\n\n    has_many(:validations, DB.MultiValidation)\n    has_many(:resource_metadata, DB.ResourceMetadata)\n\n    has_many(:resource_unavailabilities, ResourceUnavailability,\n      on_replace: :delete,\n      on_delete: :delete_all\n    )\n\n    has_many(:resource_history, DB.ResourceHistory)\n\n    has_many(\n      :resources_related,\n      DB.ResourceRelated,\n      references: :id,\n      foreign_key: :resource_src_id,\n      on_replace: :delete\n    )\n  end\n\n  def base_query, do: from(r in DB.Resource, as: :resource)\n\n  def join_dataset_with_resource(query) do\n    query\n    |> join(:inner, [dataset: d], r in DB.Resource, on: d.id == r.dataset_id, as: :resource)\n  end\n\n  def filter_on_resource_id(query, resource_id) do\n    query |> where([resource: r], r.id == ^resource_id)\n  end\n\n  def filter_on_dataset_id(query, dataset_id) do\n    query |> where([resource: r], r.dataset_id == ^dataset_id)\n  end\n\n  def changeset(resource, params) do\n    resource\n    |> cast(\n      params,\n      [\n        :url,\n        :format,\n        :last_import,\n        :title,\n        :id,\n        :datagouv_id,\n        :last_update,\n        :latest_url,\n        :is_available,\n        :is_community_resource,\n        :schema_name,\n        :schema_version,\n        :community_resource_publisher,\n        :original_resource_url,\n        :description,\n        :filesize,\n        :filetype,\n        :type,\n        :display_position\n      ]\n    )\n    |> validate_required([:url, :datagouv_id])\n    |> no_schema_name_for_public_transport()\n  end\n\n  @spec gtfs?(__MODULE__.t()) :: boolean()\n  def gtfs?(%__MODULE__{format: \"GTFS\"}), do: true\n  def gtfs?(_), do: false\n\n  @spec gbfs?(__MODULE__.t()) :: boolean\n  def gbfs?(%__MODULE__{format: \"gbfs\"}), do: true\n  def gbfs?(_), do: false\n\n  @spec netex?(__MODULE__.t()) :: boolean\n  def netex?(%__MODULE__{format: \"NeTEx\"}), do: true\n  def netex?(_), do: false\n\n  @spec gtfs_rt?(__MODULE__.t()) :: boolean\n  def gtfs_rt?(%__MODULE__{format: \"gtfs-rt\"}), do: true\n  def gtfs_rt?(%__MODULE__{format: \"gtfsrt\"}), do: true\n  def gtfs_rt?(_), do: false\n\n  @spec siri?(__MODULE__.t()) :: boolean\n  def siri?(%__MODULE__{format: \"SIRI\"}), do: true\n  def siri?(_), do: false\n\n  @spec siri_lite?(__MODULE__.t()) :: boolean\n  def siri_lite?(%__MODULE__{format: \"SIRI Lite\"}), do: true\n  def siri_lite?(_), do: false\n\n  @spec documentation?(__MODULE__.t()) :: boolean\n  def documentation?(%__MODULE__{type: \"documentation\"}), do: true\n  def documentation?(_), do: false\n\n  @spec community_resource?(__MODULE__.t()) :: boolean\n  def community_resource?(%__MODULE__{is_community_resource: true}), do: true\n  def community_resource?(_), do: false\n\n  @doc \"\"\"\n  iex> real_time?(%DB.Resource{format: \"gbfs\"})\n  true\n  iex> real_time?(%DB.Resource{format: \"GTFS\"})\n  false\n  iex> real_time?(%DB.Resource{format: \"csv\", description: \"Données mises à jour en temps réel\"})\n  true\n  \"\"\"\n  @spec real_time?(__MODULE__.t()) :: boolean\n  def real_time?(%__MODULE__{} = resource) do\n    [\n      &gtfs_rt?/1,\n      &gbfs?/1,\n      &siri_lite?/1,\n      &siri?/1,\n      &String.contains?(&1.description || \"\", [\"mis à jour en temps réel\", \"mises à jour en temps réel\"])\n    ]\n    |> Enum.any?(fn function -> function.(resource) end)\n  end\n\n  @doc \"\"\"\n  iex> requestor_ref(%DB.Resource{format: \"SIRI\", dataset: %DB.Dataset{custom_tags: [\"requestor_ref:foo\"]}})\n  \"foo\"\n  iex> requestor_ref(%DB.Resource{format: \"GTFS\", dataset: %DB.Dataset{}})\n  nil\n  iex> requestor_ref(%DB.Resource{format: \"SIRI\", dataset: %DB.Dataset{}})\n  nil\n  \"\"\"\n  def requestor_ref(%__MODULE__{format: \"SIRI\", dataset: %DB.Dataset{} = dataset}) do\n    Enum.find_value(dataset.custom_tags || [], fn tag ->\n      prefix = \"requestor_ref:\"\n      if String.starts_with?(tag, prefix), do: String.replace_prefix(tag, prefix, \"\")\n    end)\n  end\n\n  def requestor_ref(%__MODULE__{}), do: nil\n\n  @spec has_schema?(__MODULE__.t()) :: boolean\n  def has_schema?(%__MODULE__{schema_name: schema_name}), do: not is_nil(schema_name)\n\n  @spec can_direct_download?(__MODULE__.t()) :: boolean\n  def can_direct_download?(resource) do\n    # raw.githubusercontent.com does not put `Content-Disposition: attachment`\n    # in response headers and we'd like to have this\n    uri = URI.parse(resource.url)\n    uri.scheme == \"https\" and uri.host != \"raw.githubusercontent.com\"\n  end\n\n  @doc \"\"\"\n  Is the resource published by the National Access Point?\n\n  iex> pan_resource?(%DB.Resource{dataset: %DB.Dataset{organization_id: \"5abca8d588ee386ee6ece479\"}})\n  true\n  iex> pan_resource?(%DB.Resource{dataset: %DB.Dataset{organization_id: \"other\"}})\n  false\n  iex> pan_resource?(%DB.Resource{format: \"gbfs\"})\n  false\n  \"\"\"\n  @spec pan_resource?(__MODULE__.t()) :: boolean()\n  def pan_resource?(%__MODULE__{dataset: %DB.Dataset{organization_id: organization_id}}) do\n    organization_id == Application.fetch_env!(:transport, :datagouvfr_transport_publisher_id)\n  end\n\n  def pan_resource?(%__MODULE__{}), do: false\n\n  @spec other_resources_query(__MODULE__.t()) :: Ecto.Query.t()\n  def other_resources_query(%__MODULE__{} = resource),\n    do:\n      from(\n        r in __MODULE__,\n        where: r.dataset_id == ^resource.dataset_id and r.id != ^resource.id\n      )\n\n  @spec other_resources(__MODULE__.t()) :: [__MODULE__.t()]\n  def other_resources(%__MODULE__{} = r),\n    do:\n      r\n      |> other_resources_query()\n      |> Repo.all()\n\n  def by_id(query, id) do\n    from(resource in query,\n      where: resource.id == ^id\n    )\n  end\n\n  @spec get_related_files(__MODULE__.t()) :: map()\n  def get_related_files(%__MODULE__{id: resource_id}) do\n    %{}\n    |> Map.put(:GeoJSON, get_related_geojson_info(resource_id))\n  end\n\n  def get_related_geojson_info(resource_id), do: get_related_conversion_info(resource_id, :GeoJSON)\n\n  @spec get_related_conversion_info(integer() | nil, :GeoJSON) ::\n          %{url: binary(), stable_url: binary(), filesize: binary(), resource_history_last_up_to_date_at: DateTime.t()}\n          | nil\n  def get_related_conversion_info(nil, _), do: nil\n\n  def get_related_conversion_info(resource_id, format) do\n    convert_from = [:GTFS, :NeTEx]\n\n    converters = convert_from |> Enum.map(&DB.DataConversion.converter_to_use(&1, format))\n\n    DB.ResourceHistory\n    |> join(:inner, [rh], dc in DB.DataConversion,\n      as: :dc,\n      on: fragment(\"? = (?->>'uuid')::uuid\", dc.resource_history_uuid, rh.payload)\n    )\n    |> select([rh, dc], %{\n      url: fragment(\"? ->> 'permanent_url'\", dc.payload),\n      filesize: fragment(\"(? ->> 'filesize')::int\", dc.payload),\n      resource_history_last_up_to_date_at: rh.last_up_to_date_at\n    })\n    |> where([rh, _], rh.resource_id == ^resource_id)\n    |> where([_, dc], dc.convert_from in ^convert_from and dc.convert_to == ^format)\n    |> where([_, dc], dc.status == :success and dc.converter in ^converters)\n    |> order_by([rh, _], desc: rh.inserted_at)\n    |> limit(1)\n    |> DB.Repo.one()\n    |> case do\n      nil ->\n        nil\n\n      %{} = data ->\n        Map.put(data, :stable_url, conversion_url(TransportWeb.Endpoint, :get, resource_id, format))\n    end\n  end\n\n  @spec content_updated_at(integer() | __MODULE__.t()) :: Calendar.datetime() | nil\n  def content_updated_at(%__MODULE__{id: id}), do: content_updated_at(id)\n\n  def content_updated_at(resource_id) do\n    resource_history_list =\n      DB.ResourceHistory\n      |> where([rh], rh.resource_id == ^resource_id)\n      |> select([rh], rh.inserted_at)\n      |> order_by([rh], desc: rh.inserted_at)\n      |> limit(2)\n      |> DB.Repo.all()\n\n    case Enum.count(resource_history_list) do\n      n when n in [0, 1] ->\n        nil\n\n      _ ->\n        resource_history_list |> Enum.at(0)\n    end\n  end\n\n  def download_validation_report_url(%Plug.Conn{} = conn, %__MODULE__{format: \"NeTEx\"} = resource) do\n    resource_url(conn, :download_validation_report, resource.id)\n  end\n\n  def download_validation_report_url(%Plug.Conn{} = _conn, %__MODULE__{} = _resource) do\n    nil\n  end\n\n  def download_url(%__MODULE__{} = resource) do\n    download_url(resource, TransportWeb.Endpoint)\n  end\n\n  # When the contact is logged in and has a default token\n  def download_url(\n        %__MODULE__{dataset: %DB.Dataset{} = dataset} = resource,\n        %Plug.Conn{\n          assigns: %{current_contact: %DB.Contact{default_tokens: [%DB.Token{} = token]}}\n        } = conn\n      ) do\n    cond do\n      DB.Dataset.has_custom_tag?(dataset, \"authentification_experimentation\") and not real_time?(resource) ->\n        resource_url(conn, :download, resource.id, token: token.secret)\n\n      pan_resource?(resource) ->\n        resource_url(conn, :download, resource.id, token: token.secret)\n\n      served_by_proxy?(resource) ->\n        resource.url <> \"?token=#{token.secret}\"\n\n      true ->\n        download_url(resource, TransportWeb.Endpoint)\n    end\n  end\n\n  def download_url(%__MODULE__{dataset: %DB.Dataset{} = dataset} = resource, conn_or_endpoint) do\n    cond do\n      DB.Dataset.has_custom_tag?(dataset, \"authentification_experimentation\") and not real_time?(resource) ->\n        resource_url(conn_or_endpoint, :download, resource.id)\n\n      pan_resource?(resource) ->\n        resource_url(conn_or_endpoint, :download, resource.id)\n\n      needs_stable_url?(resource) ->\n        resource.latest_url\n\n      can_direct_download?(resource) ->\n        resource.url\n\n      true ->\n        resource_url(conn_or_endpoint, :download, resource.id)\n    end\n  end\n\n  @doc \"\"\"\n  iex> hosted_on_datagouv?(%DB.Resource{url: \"https://static.data.gouv.fr/file.zip\"})\n  true\n  iex> hosted_on_datagouv?(\"https://static.data.gouv.fr/file.zip\")\n  true\n  iex> hosted_on_datagouv?(%DB.Resource{url: \"https://example.com/file.zip\"})\n  false\n  \"\"\"\n  @spec hosted_on_datagouv?(__MODULE__.t() | binary()) :: boolean()\n  def hosted_on_datagouv?(url) when is_binary(url), do: hosted_on_datagouv?(%__MODULE__{url: url})\n\n  def hosted_on_datagouv?(%__MODULE__{url: url}) do\n    host = url |> URI.parse() |> Map.fetch!(:host)\n    Enum.member?(Application.fetch_env!(:transport, :datagouv_static_hosts), host)\n  end\n\n  defp needs_stable_url?(%__MODULE__{latest_url: nil}), do: false\n\n  defp needs_stable_url?(%__MODULE__{url: url} = resource) do\n    parsed_url = URI.parse(url)\n\n    object_storage_regex =\n      ~r{(https://.*\\.blob\\.core\\.windows\\.net)|(https://.*\\.s3\\..*\\.amazonaws\\.com)|(https://.*\\.s3\\..*\\.scw\\.cloud)|(https://.*\\.cellar-c2\\.services\\.clever-cloud\\.com)|(https://s3\\..*\\.cloud\\.ovh\\.net)}\n\n    hosted_on_bison_fute = parsed_url.host == Application.fetch_env!(:transport, :bison_fute_host)\n\n    cond do\n      hosted_on_bison_fute -> link_to_folder?(parsed_url)\n      hosted_on_datagouv?(resource) -> true\n      String.match?(url, object_storage_regex) -> true\n      true -> false\n    end\n  end\n\n  defp link_to_folder?(%URI{path: path}) do\n    path |> Path.basename() |> :filename.extension() == \"\"\n  end\n\n  @doc \"\"\"\n  iex> served_by_proxy?(%DB.Resource{url: \"https://proxy.transport.data.gouv.fr/resource/axeo-guingamp-gtfs-rt-vehicle-position\", format: \"gtfs-rt\"})\n  true\n  iex> served_by_proxy?(%DB.Resource{url: \"https://example.com\", format: \"GTFS\"})\n  false\n  iex> served_by_proxy?(%DB.Resource{url: \"https://proxy.transport.data.gouv.fr/resource/sncf-siri-lite-situation-exchange\", format: \"SIRI Lite\"})\n  true\n  iex> served_by_proxy?(\"https://proxy.transport.data.gouv.fr/foo\")\n  true\n  iex> served_by_proxy?(%{\"url\" => \"https://proxy.transport.data.gouv.fr/foo\"})\n  true\n  \"\"\"\n  def served_by_proxy?(url) when is_binary(url), do: served_by_proxy?(%__MODULE__{url: url})\n  def served_by_proxy?(%{\"url\" => url}) when is_binary(url), do: served_by_proxy?(%__MODULE__{url: url})\n\n  def served_by_proxy?(%__MODULE__{url: url}) do\n    String.starts_with?(url, \"https://proxy.transport.data.gouv.fr\")\n  end\n\n  @doc \"\"\"\n  iex> proxy_slug(%DB.Resource{url: \"https://proxy.transport.data.gouv.fr/resource/axeo-guingamp-gtfs-rt-vehicle-position\", format: \"gtfs-rt\"})\n  \"axeo-guingamp-gtfs-rt-vehicle-position\"\n  iex> proxy_slug(%DB.Resource{url: \"https://proxy.transport.data.gouv.fr/resource/sncf-siri-lite-situation-exchange\", format: \"SIRI Lite\"})\n  \"sncf-siri-lite-situation-exchange\"\n  iex> proxy_slug(%DB.Resource{url: \"https://example.com\", format: \"GTFS\"})\n  nil\n  \"\"\"\n  def proxy_slug(%__MODULE__{url: url} = resource) do\n    if served_by_proxy?(resource) do\n      url |> URI.parse() |> Map.fetch!(:path) |> String.replace(\"/resource/\", \"\")\n    else\n      nil\n    end\n  end\n\n  @doc \"\"\"\n  The proxy namespace for a resource. Defined in other Umbrella apps (`unlock`).\n  Used in `metrics.target` and `metrics.event`.\n\n  iex> proxy_namespace(%DB.Resource{url: \"https://proxy.transport.data.gouv.fr/resource/axeo-guingamp-gtfs-rt-vehicle-position\", format: \"gtfs-rt\"})\n  \"proxy\"\n  \"\"\"\n  def proxy_namespace(%__MODULE__{}), do: \"proxy\"\n\n  def no_schema_name_for_public_transport(%Ecto.Changeset{} = changeset) do\n    schema_name = get_field(changeset, :schema_name)\n    format = get_field(changeset, :format)\n    public_transport_formats = [\"GTFS\", \"gtfs-rt\", \"NeTEx\", \"SIRI\", \"SIRI Lite\"]\n\n    if format in public_transport_formats and is_binary(schema_name) do\n      changeset\n      |> add_error(:schema_name, \"Public transport formats can’t have a schema set\",\n        resource_id: get_field(changeset, :id),\n        resource_datagouv_id: get_field(changeset, :datagouv_id)\n      )\n    else\n      changeset\n    end\n  end\n\n  def count_by_format(format) do\n    base_query()\n    |> where([d], d.format == ^format)\n    |> Repo.aggregate(:count, :id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/resource_download.ex",
    "content": "defmodule DB.ResourceDownload do\n  @moduledoc \"\"\"\n  Represents a resource download.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  @primary_key false\n\n  typed_schema \"resource_download\" do\n    field(:time, :utc_datetime_usec)\n    belongs_to(:token, DB.Token)\n    belongs_to(:resource, DB.Resource)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/resource_history.ex",
    "content": "defmodule DB.ResourceHistory do\n  @moduledoc \"\"\"\n  ResourceHistory stores metadata when resources are historicized.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Query\n\n  @derive {Jason.Encoder, only: [:resource_id, :payload, :last_up_to_date_at, :inserted_at, :updated_at]}\n  typed_schema \"resource_history\" do\n    # `datagouv_id` is `null` for reuser improved data and filled for resources\n    field(:datagouv_id, :string)\n    field(:payload, :map)\n    # the last moment we checked and the resource history was corresponding to the real online resource\n    field(:last_up_to_date_at, :utc_datetime_usec)\n\n    timestamps(type: :utc_datetime_usec)\n    belongs_to(:resource, DB.Resource)\n    belongs_to(:reuser_improved_data, DB.ReuserImprovedData)\n    has_many(:geo_data_import, DB.GeoDataImport)\n    has_many(:validations, DB.MultiValidation)\n    has_many(:metadata, DB.ResourceMetadata)\n  end\n\n  def base_query, do: from(rh in DB.ResourceHistory, as: :resource_history)\n\n  def join_resource_with_latest_resource_history(query) do\n    last_resource_history =\n      DB.ResourceHistory\n      |> where([rh], rh.resource_id == parent_as(:resource).id)\n      |> order_by([rh], desc: :inserted_at)\n      |> select([rh], rh.id)\n      |> limit(1)\n\n    query\n    |> join(:inner, [resource: r], rh in DB.ResourceHistory, on: rh.resource_id == r.id, as: :resource_history)\n    |> join(:inner_lateral, [resource_history: rh], latest in subquery(last_resource_history), on: latest.id == rh.id)\n  end\n\n  def join_dataset_with_latest_resource_history(query) do\n    query\n    |> join(:inner, [dataset: d], r in DB.Resource, on: r.dataset_id == d.id, as: :resource)\n    |> join_resource_with_latest_resource_history()\n  end\n\n  defp latest_resource_history_query(resource_id) do\n    DB.ResourceHistory\n    |> where([rh], rh.resource_id == ^resource_id)\n    |> order_by([rh], desc: rh.inserted_at)\n    |> limit(1)\n  end\n\n  @spec latest_resource_history(DB.Resource.t() | integer()) :: DB.ResourceHistory.t() | nil\n  def latest_resource_history(%DB.Resource{id: id}), do: latest_resource_history(id)\n\n  def latest_resource_history(resource_id) do\n    resource_id\n    |> latest_resource_history_query()\n    |> DB.Repo.one()\n  end\n\n  @spec latest_dataset_resources_history_infos(DB.Dataset.t()) :: %{integer() => DB.ResourceHistory.t()}\n  def latest_dataset_resources_history_infos(%DB.Dataset{id: dataset_id}) do\n    DB.Resource.base_query()\n    |> DB.ResourceHistory.join_resource_with_latest_resource_history()\n    |> DB.Resource.filter_on_dataset_id(dataset_id)\n    |> select([resource: r, resource_history: rh], {r.id, rh})\n    |> DB.Repo.all()\n    |> Enum.into(%{})\n  end\n\n  @doc \"\"\"\n  iex> gtfs_flex?(%DB.ResourceHistory{payload: %{\"format\" => \"GTFS\", \"filenames\" => [\"stops.txt\", \"location_groups.txt\"]}})\n  true\n  iex> gtfs_flex?(%DB.ResourceHistory{payload: %{\"format\" => \"GTFS\", \"filenames\" => [\"stops.txt\", \"locations.geojson\"]}})\n  true\n  iex> gtfs_flex?(%DB.ResourceHistory{payload: %{\"format\" => \"GTFS\", \"filenames\" => [\"stops.txt\"]}})\n  false\n  \"\"\"\n  @spec gtfs_flex?(DB.ResourceHistory.t()) :: boolean()\n  def gtfs_flex?(%__MODULE__{payload: %{\"format\" => \"GTFS\", \"filenames\" => filenames}}) do\n    Enum.any?(filenames, &(&1 in [\"location_groups.txt\", \"location_group_stops.txt\", \"locations.geojson\"]))\n  end\n\n  def gtfs_flex?(%__MODULE__{}), do: false\nend\n"
  },
  {
    "path": "apps/transport/lib/db/resource_metadata.ex",
    "content": "defmodule DB.ResourceMetadata do\n  @moduledoc \"\"\"\n  Metadata extracted from a resource.\n  For example transport modes available in a GTFS file.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Query\n\n  typed_schema \"resource_metadata\" do\n    belongs_to(:resource, DB.Resource)\n    belongs_to(:resource_history, DB.ResourceHistory)\n    belongs_to(:multi_validation, DB.MultiValidation)\n    field(:metadata, :map)\n    field(:modes, {:array, :string}, default: [])\n    field(:features, {:array, :string}, default: [])\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def base_query, do: from(rm in DB.ResourceMetadata, as: :metadata)\n\n  def join_validation_with_metadata(query) do\n    query\n    |> join(:left, [multi_validation: mv], m in DB.ResourceMetadata, on: m.multi_validation_id == mv.id, as: :metadata)\n  end\n\n  def join_resource_with_metadata(query) do\n    query\n    |> join(:left, [resource: r], m in DB.ResourceMetadata, on: r.id == m.resource_id, as: :metadata)\n  end\n\n  def where_up_to_date(query) do\n    today = Date.utc_today()\n\n    query\n    |> where(\n      [metadata: m],\n      fragment(\"TO_DATE(?->>'start_date', 'YYYY-MM-DD')\", m.metadata) <= ^today and\n        fragment(\"TO_DATE(?->>'end_date', 'YYYY-MM-DD')\", m.metadata) >= ^today\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/resource_monthly_metric.ex",
    "content": "defmodule DB.ResourceMonthlyMetric do\n  @moduledoc \"\"\"\n  Monthly metrics related to resources as given by the data.gouv.fr\n  API.\n  Example: https://metric-api.data.gouv.fr/api/resources/data/?metric_month__sort=desc&resource_id__exact=e0dbd217-15cd-4e28-9459-211a27511a34&page_size=50\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n  import Ecto.Query\n\n  typed_schema \"resource_monthly_metrics\" do\n    belongs_to(:resource, DB.Resource, foreign_key: :resource_datagouv_id, references: :datagouv_id, type: :string)\n    belongs_to(:dataset, DB.Dataset, foreign_key: :dataset_datagouv_id, references: :datagouv_id, type: :string)\n    field(:year_month, :string)\n    field(:metric_name, Ecto.Enum, values: [:downloads])\n    field(:count, :integer)\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def changeset(struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, [:resource_datagouv_id, :dataset_datagouv_id, :year_month, :metric_name, :count])\n    |> validate_required([:resource_datagouv_id, :year_month, :metric_name, :count])\n    |> validate_format(:year_month, ~r/\\A2\\d{3}-(0[1-9]|1[012])\\z/)\n    |> validate_number(:count, greater_than_or_equal_to: 0)\n  end\n\n  @spec downloads_for_year([DB.Resource.t()], non_neg_integer()) :: %{binary() => integer()}\n  def downloads_for_year(resources, year) do\n    datagouv_ids = Enum.map(resources, fn %DB.Resource{datagouv_id: datagouv_id} -> datagouv_id end)\n    year_months = DB.DatasetMonthlyMetric.year_months(year)\n\n    __MODULE__\n    |> where(\n      [rmm],\n      rmm.metric_name == :downloads and rmm.resource_datagouv_id in ^datagouv_ids and rmm.year_month in ^year_months\n    )\n    |> group_by([rmm], rmm.resource_datagouv_id)\n    |> select([rmm], {rmm.resource_datagouv_id, sum(rmm.count)})\n    |> DB.Repo.all()\n    |> Map.new()\n  end\n\n  def download_statistics(datasets) do\n    datagouv_ids =\n      datasets\n      |> Enum.flat_map(& &1.resources)\n      |> Enum.filter(&DB.Resource.hosted_on_datagouv?/1)\n      |> Enum.map(& &1.datagouv_id)\n\n    DB.Dataset.base_query()\n    |> DB.Resource.join_dataset_with_resource()\n    |> join(:inner, [resource: r], rmm in __MODULE__, on: rmm.resource_datagouv_id == r.datagouv_id, as: :rmm)\n    |> where([resource: r, rmm: rmm], r.datagouv_id in ^datagouv_ids and rmm.metric_name == :downloads)\n    |> select([dataset: d, resource: r, rmm: rmm], %{\n      year_month: rmm.year_month,\n      count: rmm.count,\n      dataset_title: d.custom_title,\n      resource_title: r.title,\n      dataset_datagouv_id: rmm.dataset_datagouv_id,\n      resource_datagouv_id: rmm.resource_datagouv_id\n    })\n    |> order_by([_, _, rmm], [rmm.year_month, rmm.resource_datagouv_id])\n    |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/resource_related.ex",
    "content": "defmodule DB.ResourceRelated do\n  @moduledoc \"\"\"\n  A module to deal with `DB.Resource` related to other `DB.Resource`\n  \"\"\"\n  use TypedEctoSchema\n  use Gettext, backend: TransportWeb.Gettext\n\n  @primary_key false\n  typed_schema \"resource_related\" do\n    belongs_to(:resource_src, DB.Resource, foreign_key: :resource_src_id, references: :id)\n    belongs_to(:resource_dst, DB.Resource, foreign_key: :resource_dst_id, references: :id)\n    field(:reason, Ecto.Enum, values: [:gtfs_rt_gtfs, :manual])\n  end\n\n  @doc \"\"\"\n  A human-friendly description for a `reason`.\n\n  iex> Enum.each(Ecto.Enum.values(DB.ResourceRelated, :reason), & reason_to_str(%DB.ResourceRelated {reason: &1}))\n  :ok\n  \"\"\"\n  def reason_to_str(%__MODULE__{reason: reason}) do\n    Map.fetch!(\n      %{\n        :gtfs_rt_gtfs => dgettext(\"db-resource-related\", \"Associated GTFS file\"),\n        :manual => dgettext(\"db-resource-related\", \"Manual association\")\n      },\n      reason\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/resource_unavailability.ex",
    "content": "defmodule DB.ResourceUnavailability do\n  @moduledoc \"\"\"\n  Model used to store when a resource is not available over HTTP\n  (timeout, server errors etc)\n  \"\"\"\n  alias DB.{Repo, Resource}\n\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Query\n\n  typed_schema \"resource_unavailability\" do\n    field(:start, :utc_datetime)\n    field(:end, :utc_datetime)\n    timestamps(type: :utc_datetime_usec)\n\n    belongs_to(:resource, Resource)\n  end\n\n  @spec ongoing_unavailability(Resource.t()) :: nil | __MODULE__.t()\n  def ongoing_unavailability(%Resource{id: resource_id}) do\n    __MODULE__\n    |> where([r], r.resource_id == ^resource_id and is_nil(r.end))\n    |> order_by([r], desc: r.start)\n    |> limit(1)\n    |> Repo.one()\n  end\n\n  def availability_over_last_days(%Resource{} = resource, nb_days) when is_integer(nb_days) and nb_days > 0 do\n    %{hours: hours} = unavailabilities_over_last_days(resource, nb_days)\n    floor_float(100 - hours / (24.0 * nb_days) * 100)\n  end\n\n  @doc \"\"\"\n  Floors a float up to a precision and removes unneeded zeroes.\n\n  See [Float.floor/2](https://hexdocs.pm/elixir/Float.html#floor/2-known-issues) for gotchas.\n\n  iex> floor_float(1.23)\n  1.2\n  iex> floor_float(1.0)\n  1\n  iex> floor_float(1.20, 2)\n  1.19\n  iex> floor_float(99.98)\n  99.9\n  \"\"\"\n  def floor_float(float, precision \\\\ 1) do\n    rounded = Float.floor(float, precision)\n    trunced = trunc(float)\n    if rounded == trunced, do: trunced, else: rounded\n  end\n\n  def unavailabilities_over_last_days(%Resource{id: resource_id}, nb_days) when is_integer(nb_days) and nb_days > 0 do\n    # Sorry about the messy Ecto code\n    # - interval to number of hours, https://stackoverflow.com/a/952600\n    rows =\n      __MODULE__\n      |> select([:start, :end])\n      |> where([r], r.resource_id == ^resource_id)\n      |> where(\n        [r],\n        fragment(\n          ~s[\"end\" IS NULL OR \"end\" between (now() at time zone 'UTC') - '1 day'::interval * ? and (now() at time zone 'UTC')],\n          ^nb_days\n        )\n      )\n      |> Repo.all()\n\n    period_start = days_ago(nb_days)\n\n    %{\n      resource_id: resource_id,\n      nb_periods: Enum.count(rows),\n      hours: total_hours(rows, period_start)\n    }\n  end\n\n  def uptime_per_day(%Resource{id: resource_id}, nb_days) do\n    query = \"\"\"\n    with dates as\n    (select day, tsrange(day, case when day = current_date then timezone('utc', now()) else date_trunc('day', day) + interval '1 day' - interval '1 second' end) as day_range\n    from generate_series(current_date - $1 * interval '1 day', current_date, '1 day') as day),\n\n    down_ranges as\n    (select tsrange(ru.start, coalesce(ru.end, timezone('utc', now()))) as down_range from resource_unavailability ru where ru.resource_id = $2),\n\n    downtimes as\n    (select day, sum(upper(day_range * down_range) - lower(day_range * down_range)) as downtime, extract('epoch' from upper(day_range) - lower(day_range)) as day_length\n    from dates cross join down_ranges dr where day_range && down_range group by day, day_range),\n\n    uptimes as\n    (select day, 1. - (EXTRACT(EPOCH from downtime) / day_length) as uptime from downtimes)\n\n    select dates.day::date, cast(coalesce (uptime, 1) as double precision) as uptime from dates left join uptimes on dates.day = uptimes.day;\n    \"\"\"\n\n    %{columns: columns, rows: rows} = Ecto.Adapters.SQL.query!(DB.Repo, query, [nb_days, resource_id])\n\n    rows |> Enum.map(fn row -> columns |> Enum.zip(row) |> Map.new() end)\n  end\n\n  defp total_hours(rows, period_start) do\n    seconds =\n      rows\n      |> Enum.map(fn row ->\n        row_start =\n          if DateTime.compare(row.start, period_start) == :lt do\n            period_start\n          else\n            row.start\n          end\n\n        row_end = if is_nil(row.end), do: days_ago(0), else: row.end\n\n        DateTime.diff(row_end, row_start, :second)\n      end)\n      |> Enum.reject(&(&1 < 0))\n      |> Enum.sum()\n\n    seconds / 3600\n  end\n\n  defp days_ago(days) when days >= 0 do\n    DateTime.utc_now() |> DateTime.add(-days, :day) |> DateTime.truncate(:second)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/reuse.ex",
    "content": "defmodule DB.Reuse do\n  @moduledoc \"\"\"\n  Represents data.gouv.fr reuses.\n  \"\"\"\n  use TypedEctoSchema\n  use Ecto.Schema\n  use Gettext, backend: TransportWeb.Gettext\n  import Ecto.Changeset\n  import Ecto.Query\n\n  typed_schema \"reuse\" do\n    field(:datagouv_id, :string)\n    field(:title, :string)\n    field(:slug, :string)\n    field(:url, :string)\n    field(:type, :string)\n    field(:description, :string)\n    field(:remote_url, :string)\n    field(:organization, :string)\n    field(:organization_id, :string)\n    field(:owner, :string)\n    field(:owner_id, :string)\n    field(:image, :string)\n    field(:featured, :boolean)\n    field(:archived, :boolean)\n    field(:topic, :string)\n    field(:tags, {:array, :string})\n    field(:metric_discussions, :integer)\n    field(:metric_datasets, :integer)\n    field(:metric_followers, :integer)\n    field(:metric_views, :integer)\n    field(:created_at, :utc_datetime_usec)\n    field(:last_modified, :utc_datetime_usec)\n\n    many_to_many(:datasets, DB.Dataset, join_through: \"reuse_dataset\", on_replace: :delete)\n  end\n\n  def base_query, do: from(r in __MODULE__, as: :reuse)\n\n  def search(%{} = args) do\n    base_query()\n    |> order_by([reuse: r], desc: r.created_at)\n    |> search_by_query(args)\n    |> search_by_dataset_type(args)\n  end\n\n  def search_by_query(query, %{\"q\" => q}) do\n    ilike_search = \"%#{safe_like_pattern(q)}%\"\n\n    query\n    |> where([reuse: r], fragment(\"unaccent(?) ilike unaccent(?)\", r.title, ^ilike_search))\n    |> or_where([reuse: r], fragment(\"unaccent(?) ilike unaccent(?)\", r.organization, ^ilike_search))\n    |> or_where([reuse: r], fragment(\"unaccent(?) ilike unaccent(?)\", r.owner, ^ilike_search))\n  end\n\n  def search_by_query(query, _), do: query\n\n  def search_by_dataset_type(query, %{\"type\" => type}) when type != \"\" do\n    query\n    |> join(:inner, [reuse: r], d in assoc(r, :datasets), as: :dataset)\n    |> where([dataset: d], d.type == ^type)\n    |> distinct(true)\n  end\n\n  def search_by_dataset_type(query, _), do: query\n\n  @doc \"\"\"\n  Make sure a string that will be passed to `like` or `ilike` is safe.\n\n  See https://elixirforum.com/t/secure-ecto-like-queries/31265\n  iex> safe_like_pattern(\"I love %like_injections%\\\\!\")\n  \"I love likeinjections!\"\n  \"\"\"\n  def safe_like_pattern(value) do\n    String.replace(value, [\"\\\\\", \"%\", \"_\"], \"\")\n  end\n\n  def changeset(model, attrs) do\n    model\n    |> cast(attrs, [\n      :title,\n      :slug,\n      :url,\n      :type,\n      :description,\n      :remote_url,\n      :organization,\n      :organization_id,\n      :owner,\n      :owner_id,\n      :image,\n      :topic,\n      :created_at,\n      :last_modified\n    ])\n    |> transform_datagouv_id(attrs)\n    |> transform_metric_keys(attrs)\n    |> transform_archived(attrs)\n    |> transform_featured(attrs)\n    |> transform_tags(attrs)\n    |> validate_required([\n      :datagouv_id,\n      :title,\n      :slug,\n      :url,\n      :type,\n      :description,\n      :remote_url,\n      :featured,\n      :archived,\n      :topic,\n      :tags,\n      :metric_discussions,\n      :metric_datasets,\n      :metric_followers,\n      :metric_views,\n      :created_at,\n      :last_modified\n    ])\n    |> cast_datasets(attrs)\n  end\n\n  def type_to_str(type) do\n    %{\n      \"api\" => dgettext(\"reuses\", \"api\"),\n      \"application\" => dgettext(\"reuses\", \"application\"),\n      \"hardware\" => dgettext(\"reuses\", \"hardware\"),\n      \"idea\" => dgettext(\"reuses\", \"idea\"),\n      \"news_article\" => dgettext(\"reuses\", \"news_article\"),\n      \"paper\" => dgettext(\"reuses\", \"paper\"),\n      \"post\" => dgettext(\"reuses\", \"post\"),\n      \"visualization\" => dgettext(\"reuses\", \"visualization\")\n    }\n    |> Map.fetch!(type)\n  end\n\n  defp cast_datasets(%Ecto.Changeset{} = changeset, %{\"datasets\" => datasets}) do\n    datagouv_ids = (datasets || \"\") |> String.split(\",\")\n\n    datasets =\n      DB.Dataset.base_query()\n      |> where([dataset: d], d.datagouv_id in ^datagouv_ids)\n      |> select([dataset: d], [:id])\n      |> DB.Repo.all()\n\n    changeset |> put_assoc(:datasets, datasets)\n  end\n\n  defp transform_archived(%Ecto.Changeset{} = changeset, params) do\n    transform_bool(changeset, :archived, params)\n  end\n\n  defp transform_featured(%Ecto.Changeset{} = changeset, params) do\n    transform_bool(changeset, :featured, params)\n  end\n\n  def transform_bool(%Ecto.Changeset{} = changeset, key, params) do\n    case Map.get(params, to_string(key)) do\n      value when is_binary(value) -> put_change(changeset, key, String.downcase(value) == \"true\")\n      value -> put_change(changeset, key, value)\n    end\n  end\n\n  defp transform_tags(%Ecto.Changeset{} = changeset, %{\"tags\" => tags}) do\n    put_change(changeset, :tags, String.split(tags || \"\", \",\") |> Enum.reject(&(&1 == \"\")))\n  end\n\n  defp transform_datagouv_id(%Ecto.Changeset{} = changeset, %{\"id\" => id}) do\n    changeset |> put_change(:datagouv_id, id) |> delete_change(:id)\n  end\n\n  defp transform_metric_keys(%Ecto.Changeset{} = changeset, attributes) do\n    attributes\n    |> Map.take([\n      \"metric.datasets\",\n      \"metric.discussions\",\n      \"metric.followers\",\n      \"metric.views\"\n    ])\n    |> Enum.map(fn {k, v} ->\n      {k |> String.replace(\".\", \"_\") |> String.to_existing_atom(), String.to_integer(v)}\n    end)\n    |> Enum.reduce(changeset, fn {k, v}, changeset -> put_change(changeset, k, v) end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/reuser_improved_data.ex",
    "content": "defmodule DB.ReuserImprovedData do\n  @moduledoc \"\"\"\n  Represents improved static data shared by reusers.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n  import Ecto.Query\n\n  typed_schema \"reuser_improved_data\" do\n    belongs_to(:dataset, DB.Dataset)\n    belongs_to(:resource, DB.Resource)\n    belongs_to(:contact, DB.Contact)\n    belongs_to(:organization, DB.Organization, type: :string)\n    field(:download_url, :string)\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def base_query, do: from(rm in __MODULE__, as: :reuser_improved_data)\n\n  def changeset(%__MODULE__{} = struct, attrs \\\\ %{}) do\n    fields = [:dataset_id, :resource_id, :contact_id, :organization_id, :download_url]\n\n    struct\n    |> cast(attrs, fields)\n    |> validate_required(fields)\n    |> assoc_constraint(:dataset)\n    |> assoc_constraint(:resource)\n    |> assoc_constraint(:contact)\n    |> assoc_constraint(:organization)\n    |> unique_constraint([:resource_id, :organization_id])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/stats_history.ex",
    "content": "defmodule DB.StatsHistory do\n  @moduledoc \"\"\"\n  Store key metrics as time series\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"stats_history\" do\n    field(:timestamp, :utc_datetime)\n    field(:metric, :string)\n    field(:value, :decimal)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/table_size_history.ex",
    "content": "defmodule DB.TableSizeHistory do\n  @moduledoc \"\"\"\n  History table holding table size records\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n\n  typed_schema \"table_size_history\" do\n    field(:table_name, :string)\n    field(:size, :integer)\n    field(:date, :date)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/token.ex",
    "content": "defmodule DB.Token do\n  @moduledoc \"\"\"\n  Represents user tokens to access data while being authenticated.\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n  import Ecto.Query\n\n  @token_secret_length 32\n\n  typed_schema \"token\" do\n    field(:name, :string)\n    field(:secret, DB.Encrypted.Binary)\n    # Should be used to search rows matching a secret\n    # https://hexdocs.pm/cloak_ecto/install.html#usage\n    field(:secret_hash, Cloak.Ecto.SHA256)\n    belongs_to(:contact, DB.Contact)\n    belongs_to(:organization, DB.Organization, type: :string)\n    many_to_many(:default_for_contacts, DB.Contact, join_through: \"default_token\")\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def base_query, do: from(t in __MODULE__, as: :token)\n\n  def personal_token?(%__MODULE__{organization_id: nil}), do: true\n  def personal_token?(%__MODULE__{}), do: false\n\n  def changeset(%__MODULE__{} = struct, attrs \\\\ %{}) do\n    struct\n    |> cast(attrs, [:name, :contact_id, :organization_id])\n    |> validate_required([:name, :contact_id])\n    |> assoc_constraint(:contact)\n    |> organization_id()\n    |> generate_secret()\n    |> put_hashed_fields()\n  end\n\n  def organization_id(%Ecto.Changeset{} = changeset) do\n    case get_field(changeset, :organization_id) do\n      nil ->\n        changeset\n\n      _ ->\n        changeset\n        |> assoc_constraint(:organization)\n        |> unique_constraint([:organization_id, :name])\n    end\n  end\n\n  defp generate_secret(%Ecto.Changeset{} = changeset) do\n    changeset\n    |> put_change(:secret, :crypto.strong_rand_bytes(@token_secret_length) |> Base.url_encode64(padding: false))\n  end\n\n  defp put_hashed_fields(%Ecto.Changeset{} = changeset) do\n    changeset |> put_change(:secret_hash, get_field(changeset, :secret))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/db/user_feedback.ex",
    "content": "defmodule DB.UserFeedback do\n  @moduledoc \"\"\"\n  Stores feedback from users about the application sent through the feedback form\n  \"\"\"\n  use Ecto.Schema\n  use TypedEctoSchema\n  import Ecto.Changeset\n\n  @features [\n    :gtfs_stops,\n    :on_demand_validation,\n    :gbfs_validation,\n    :reuser_space,\n    :producer_space\n  ]\n\n  @ratings [:like, :neutral, :dislike]\n\n  typed_schema \"user_feedback\" do\n    field(:email, DB.Encrypted.Binary)\n    field(:explanation, :string)\n    field(:feature, Ecto.Enum, values: @features)\n    field(:rating, Ecto.Enum, values: @ratings)\n    belongs_to(:contact, DB.Contact)\n\n    timestamps(type: :utc_datetime_usec)\n  end\n\n  def changeset(%__MODULE__{} = feedback, %{} = attrs) do\n    feedback\n    |> cast(attrs, [:rating, :explanation, :email, :feature])\n    |> validate_required([:rating, :feature, :explanation])\n    |> sanitize_inputs([:explanation, :email])\n    |> validate_format(:email, ~r/@/)\n    |> lowercase_email()\n    |> validate_length(:explanation, max: 10_000)\n  end\n\n  @spec features() :: [atom()]\n  def features, do: @features\n\n  @spec ratings() :: [atom()]\n  def ratings, do: @ratings\n\n  def assoc_contact_from_user_id(changeset, user_id) do\n    case user_id do\n      nil ->\n        changeset\n\n      _ ->\n        current_contact = DB.Repo.get_by!(DB.Contact, datagouv_user_id: user_id)\n        changeset |> Ecto.Changeset.put_assoc(:contact, current_contact)\n    end\n  end\n\n  defp sanitize_inputs(%Ecto.Changeset{} = changeset, keys) do\n    Enum.reduce(keys, changeset, fn key, acc -> sanitize_field(acc, key) end)\n  end\n\n  defp sanitize_field(%Ecto.Changeset{} = changeset, key) do\n    case get_change(changeset, key) do\n      nil -> changeset\n      value -> put_change(changeset, key, value |> String.trim() |> HtmlSanitizeEx.strip_tags())\n    end\n  end\n\n  defp lowercase_email(%Ecto.Changeset{} = changeset) do\n    update_change(changeset, :email, &String.downcase/1)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/ecto_interval.ex",
    "content": "# Taken from https://github.com/OvermindDL1/ecto_interval\nif Code.ensure_loaded?(Postgrex) do\n  defmodule EctoInterval do\n    @moduledoc \"\"\"\n    This implements Interval support for Postgrex that used to be in Ecto but no longer is.\n    \"\"\"\n    if macro_exported?(Ecto.Type, :__using__, 1) do\n      use Ecto.Type\n    else\n      @behaviour Ecto.Type\n    end\n\n    @impl true\n    def type, do: Postgrex.Interval\n\n    @impl true\n    def cast(%{\"months\" => months, \"days\" => days, \"secs\" => secs}) do\n      do_cast(months, days, secs)\n    end\n\n    def cast(%{months: months, days: days, secs: secs}) do\n      do_cast(months, days, secs)\n    end\n\n    def cast(_) do\n      :error\n    end\n\n    defp do_cast(months, days, secs) do\n      months = to_integer(months)\n      days = to_integer(days)\n      secs = to_integer(secs)\n      {:ok, %{months: months, days: days, secs: secs}}\n    rescue\n      _ -> :error\n    end\n\n    defp to_integer(arg) when is_binary(arg) do\n      String.to_integer(arg)\n    end\n\n    defp to_integer(arg) when is_integer(arg) do\n      arg\n    end\n\n    @impl true\n    def load(%{months: months, days: days, secs: secs}) do\n      {:ok, %Postgrex.Interval{months: months, days: days, secs: secs}}\n    end\n\n    @impl true\n    def dump(%{months: months, days: days, secs: secs}) do\n      {:ok, %Postgrex.Interval{months: months, days: days, secs: secs}}\n    end\n\n    def dump(%{\"months\" => months, \"days\" => days, \"secs\" => secs}) do\n      {:ok, %Postgrex.Interval{months: months, days: days, secs: secs}}\n    end\n  end\n\n  defimpl String.Chars, for: [Postgrex.Interval] do\n    import Kernel, except: [to_string: 1]\n\n    def to_string(%{:months => months, :days => days, :secs => secs}) do\n      m =\n        if months === 0 do\n          \"\"\n        else\n          \" #{months} months\"\n        end\n\n      d =\n        if days === 0 do\n          \"\"\n        else\n          \" #{days} days\"\n        end\n\n      s =\n        if secs === 0 do\n          \"\"\n        else\n          \" #{secs} seconds\"\n        end\n\n      if months === 0 and days === 0 and secs === 0 do\n        \"<None>\"\n      else\n        \"Every#{m}#{d}#{s}\"\n      end\n    end\n  end\n\n  defimpl Inspect, for: [Postgrex.Interval] do\n    def inspect(inv, _opts) do\n      inspect(Map.from_struct(inv))\n    end\n  end\n\n  if Code.ensure_loaded?(Phoenix.HTML.Safe) do\n    defimpl Phoenix.HTML.Safe, for: [Postgrex.Interval] do\n      def to_iodata(inv) do\n        to_string(inv)\n      end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/enroute/chouette_valid_rulesets_client.ex",
    "content": "defmodule Transport.EnRoute.ChouetteValidRulesetsClient.Wrapper do\n  @moduledoc \"\"\"\n  API client for Chouette Valid rulesets management.\n  Documentation: https://enroute.atlassian.net/wiki/spaces/PUBLIC/pages/2761687047/Sprint+123#Manage-rulesets-by-API\n  \"\"\"\n  alias Transport.EnRoute.ChouetteValidRulesetsClient.Slugs\n\n  @type ruleset_id :: binary\n\n  @callback list_rulesets() :: list()\n\n  @callback get_ruleset(slug :: Slugs.slug()) :: {:ok, map()} | {:error, binary()}\n\n  @callback create_ruleset(definition :: binary(), name :: binary(), slug :: Slugs.slug()) ::\n              {:ok, ruleset_id()}\n              | {:error, binary()}\n\n  @callback update_ruleset(definition :: binary(), name :: binary(), slug :: Slugs.slug()) ::\n              {:ok, ruleset_id()}\n              | {:error, binary()}\n\n  @callback delete_ruleset(ruleset_id :: ruleset_id()) :: :ok | {:error, binary()}\n\n  @spec list_versions(slug :: Slugs.slug()) :: list()\n  def list_versions(slug) do\n    reference_slug =\n      if Slugs.versioned_slug?(slug) do\n        slug\n      else\n        \"#{slug}:1\"\n      end\n\n    impl().list_rulesets()\n    |> Enum.filter(fn %{\"slug\" => version_slug} -> Slugs.sibling_slugs?(reference_slug, version_slug) end)\n  end\n\n  @spec find_ruleset_id(slug :: Slugs.slug()) :: ruleset_id() | nil\n  def find_ruleset_id(expected_slug) do\n    case impl().get_ruleset(expected_slug) do\n      {:ok, ruleset} -> ruleset[\"id\"]\n      {:error, _} -> nil\n    end\n  end\n\n  def impl, do: Application.get_env(:transport, :enroute_rulesets_client)\nend\n\ndefmodule Transport.EnRoute.ChouetteValidRulesetsClient do\n  @moduledoc \"\"\"\n  Implementation of the enRoute Chouette Valid rulesets management API client.\n  \"\"\"\n  @behaviour Transport.EnRoute.ChouetteValidRulesetsClient.Wrapper\n\n  @base_url \"https://chouette-valid.enroute.mobi/api/rulesets\"\n\n  @impl Transport.EnRoute.ChouetteValidRulesetsClient.Wrapper\n  def list_rulesets do\n    http_client().get!(base_request()).body\n  end\n\n  @impl Transport.EnRoute.ChouetteValidRulesetsClient.Wrapper\n  def get_ruleset(slug) do\n    case http_client().get(base_request(), url: \"/#{slug}\") do\n      {:ok, resp} when resp.status in 200..299 -> {:ok, resp.body}\n      {:ok, resp} -> {:error, \"Bad API response: Status code: #{resp.status}\"}\n      {:error, e} -> {:error, Exception.message(e)}\n    end\n  end\n\n  @impl Transport.EnRoute.ChouetteValidRulesetsClient.Wrapper\n  def create_ruleset(definition, name, slug) do\n    upsert_ruleset(:post, \"\", definition, name, slug)\n  end\n\n  @impl Transport.EnRoute.ChouetteValidRulesetsClient.Wrapper\n  def update_ruleset(definition, name, slug) do\n    upsert_ruleset(:put, \"/#{slug}\", definition, name, slug)\n  end\n\n  @impl Transport.EnRoute.ChouetteValidRulesetsClient.Wrapper\n  def delete_ruleset(ruleset_id) do\n    case http_client().delete(base_request(), url: \"/#{ruleset_id}.json\") do\n      {:ok, resp} when resp.status in 200..299 -> :ok\n      {:ok, resp} -> {:error, \"Bad API response: Status code: #{resp.status}\"}\n      {:error, e} -> {:error, Exception.message(e)}\n    end\n  end\n\n  defp upsert_ruleset(method, path, definition, name, slug) do\n    body =\n      %{\n        ruleset: %{\n          name: name,\n          slug: slug,\n          definition: definition\n        }\n      }\n\n    case http_client().request(base_request(), method: method, url: path, json: body) do\n      {:ok, %Req.Response{status: status, body: %{\"id\" => ruleset_id}}} when status in [200, 201] ->\n        {:ok, ruleset_id}\n\n      {:ok, %Req.Response{status: 422, body: %{\"slug\" => [\"has already been taken\"]}}} ->\n        {:error, \"Slug already taken\"}\n\n      {:ok, %Req.Response{status: sc}} ->\n        {:error, \"Bad API response: Status code: #{sc}\"}\n\n      {:ok, _unsupported} ->\n        {:error, \"Unsupported response type\"}\n\n      {:error, e} ->\n        {:error, Exception.message(e)}\n    end\n  end\n\n  defp base_request do\n    Req.new(base_url: @base_url, auth: auth())\n  end\n\n  defp auth do\n    \"Token token=#{Application.fetch_env!(:transport, :enroute_rulesets_token)}\"\n  end\n\n  defp http_client, do: Transport.Req.impl()\nend\n\ndefmodule Transport.EnRoute.ChouetteValidRulesetsClient.Slugs do\n  @moduledoc \"\"\"\n  Helpers to manipulate rulesets slugs.\n  \"\"\"\n\n  @type slug :: binary\n\n  @spec check_slug!(slug :: binary()) :: slug()\n  def check_slug!(slug) do\n    if versioned_slug?(slug) do\n      slug\n    else\n      raise \"Invalid slug #{slug}\"\n    end\n  end\n\n  @spec versioned_slug?(slug :: binary()) :: boolean()\n  @doc \"\"\"\n  iex> versioned_slug?(\"pan:profile:1\")\n  true\n  iex> versioned_slug?(\"pan:profile\")\n  false\n  \"\"\"\n  def versioned_slug?(slug) do\n    case parse_slug(slug) do\n      {:ok, _} -> true\n      _ -> false\n    end\n  end\n\n  @spec sibling_slugs?(slug_a :: binary(), slug_b :: binary()) :: boolean()\n  @doc \"\"\"\n  iex> sibling_slugs?(\"pan:profile:1\", \"pan:profile:2\")\n  true\n  iex> sibling_slugs?(\"pan:profile\", \"pan:profile:2\")\n  false\n  iex> sibling_slugs?(\"pan:profile:1\", \"pan:exceptions:2\")\n  false\n  \"\"\"\n  def sibling_slugs?(slug_a, slug_b) do\n    case {parse_slug(slug_a), parse_slug(slug_b)} do\n      {{:ok, {basename_a, _}}, {:ok, {basename_b, _}}} -> basename_a == basename_b\n      _ -> false\n    end\n  end\n\n  defp parse_slug(slug) do\n    case Regex.named_captures(~r/(?<basename>.*):(?<version>[0-9]+)$/, slug) do\n      %{\"basename\" => basename, \"version\" => version} ->\n        version = String.to_integer(version)\n        {:ok, {basename, version}}\n\n      _ ->\n        :error\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/gtfs/utils.ex",
    "content": "defmodule Transport.GTFS.Utils do\n  @moduledoc \"\"\"\n  Some helpers for handling GTFS archives.\n  \"\"\"\n\n  @doc \"\"\"\n  iex> get_position(%{\"stop_id\" => \"\"}, \"stop_lat\")\n  nil\n  iex> get_position(%{\"stop_lat\" => \"42.1337\"}, \"stop_lat\")\n  42.1337\n  iex> get_position(%{\"stop_lat\" => \"abcdef\"}, \"stop_lat\")\n  nil\n  \"\"\"\n  def get_position(record, field) do\n    Map.get(record, field, \"\") |> convert_text_to_float()\n  end\n\n  @doc \"\"\"\n  Convert textual values to float.\n\n  iex> convert_text_to_float(\"\")\n  nil\n  iex> convert_text_to_float(\"0\")\n  0.0\n  iex> convert_text_to_float(\"0.0\")\n  0.0\n  iex> convert_text_to_float(\"12.7\")\n  12.7\n  iex> convert_text_to_float(\"-12.7\")\n  -12.7\n  iex> convert_text_to_float(\"   -48.7    \")\n  -48.7\n  iex> convert_text_to_float(\"abc\")\n  nil\n  \"\"\"\n  def convert_text_to_float(input) do\n    input |> String.trim() |> Decimal.new() |> Decimal.to_float()\n  rescue\n    Decimal.Error ->\n      nil\n  end\n\n  @doc \"\"\"\n  Variant of csv_get_with_default/3 that raises if a mandatory column is missing.\n  \"\"\"\n  def csv_get_with_default!(map, field, default_value, mandatory_column \\\\ true) do\n    value = if mandatory_column, do: Map.fetch!(map, field), else: Map.get(map, field)\n\n    case value do\n      nil -> default_value\n      \"\" -> default_value\n      v -> v\n    end\n  end\n\n  @doc \"\"\"\n  iex> csv_get_with_default(%{}, \"field\", 0)\n  0\n  iex> csv_get_with_default(%{\"other_field\" => 1}, \"field\", 0)\n  0\n  iex> csv_get_with_default(%{\"field\" => 2, \"other_field\" => 1}, \"field\", 0)\n  2\n  iex> csv_get_with_default(%{\"field\" => \"\", \"other_field\" => 1}, \"field\", 0)\n  0\n  \"\"\"\n  def csv_get_with_default(map, field, default_value) do\n    value = Map.get(map, field)\n\n    case value do\n      nil -> default_value\n      \"\" -> default_value\n      v -> v\n    end\n  end\n\n  @doc \"\"\"\n  Transform the stream outputed by Unzip to a stream of maps, each map\n  corresponding to a row from the CSV.\n  \"\"\"\n  def to_stream_of_maps(file_stream) do\n    file_stream\n    # transform the stream to a stream of binaries\n    |> Stream.map(fn c -> IO.iodata_to_binary(c) end)\n    # stream line by line\n    |> NimbleCSV.RFC4180.to_line_stream()\n    |> NimbleCSV.RFC4180.parse_stream(skip_headers: false)\n    # transform the stream to a stream of maps %{column_name1: value1, ...}\n    |> Stream.transform([], fn r, acc ->\n      if acc == [] do\n        {%{}, r |> Enum.map(fn h -> h |> String.replace_prefix(\"\\uFEFF\", \"\") end)}\n      else\n        {[acc |> Enum.zip(r) |> Enum.into(%{})], acc}\n      end\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/http/utils.ex",
    "content": "defmodule Transport.Http.Utils do\n  @moduledoc \"\"\"\n  Useful functions to work with http requests\n  \"\"\"\n  require Logger\n\n  def location_header(headers), do: header_value(headers, \"location\")\n\n  def header_value(headers, header) do\n    for {key, value} <- headers, String.downcase(key) == String.downcase(header) do\n      value\n    end\n  end\n\n  @doc \"\"\"\n  Takes a response body and response headers and try to convert the body to UTF-8.\n  It looks at the charset defined in the `content-type` header.\n\n  Inspired by https://bernheisel.com/blog/httpoison-and-decompression\n  \"\"\"\n  def reencode_body_to_utf8(body, headers) do\n    headers\n    |> header_value(\"content-type\")\n    |> parse_charset()\n    |> reencode_body(body)\n  end\n\n  defp parse_charset([content_type]), do: parse_charset(content_type)\n\n  # Parse the content-type charset part and attempt to convert it\n  # to one of the two encodings we support at the moment (`:utf8` and `:latin1`),\n  # expressed as atoms expected by the Erlang's unicode module\n  # (see https://www.erlang.org/doc/man/unicode#type-encoding).\n  #\n  # Keep the original value if no match is found.\n  defp parse_charset(content_type) when is_binary(content_type) do\n    case Plug.Conn.Utils.content_type(content_type) do\n      {:ok, _, _, %{\"charset\" => charset}} ->\n        cond do\n          # Case insensitive and ignore dashes\n          charset =~ ~r/utf-?8/i -> :utf8\n          charset =~ ~r/iso-?8859-?1/i -> :latin1\n          true -> charset\n        end\n\n      _ ->\n        nil\n    end\n  end\n\n  defp parse_charset(_), do: nil\n\n  # When the header isn't sent, the RFC spec says we should assume ISO-8859-1\n  # but the default is actually different per format, eg, XML should be assumed UTF-8.\n  # We're going to not re-encode if it's not sent and assume UTF-8.\n  # This should be safe for most cases.\n  defp reencode_body(nil, body), do: body\n  defp reencode_body(:utf8, body), do: body\n\n  # Reencode the body from Latin 1 to UTF-8\n  defp reencode_body(:latin1, body) do\n    case :unicode.characters_to_binary(body, :latin1, :utf8) do\n      {:error, binary, rest} ->\n        Logger.error(\"Failed to re-encode text. BODY: #{inspect(binary)} REST: #{inspect(rest)}\")\n        body\n\n      {:incomplete, reencoded_text, rest} ->\n        Logger.warning(\"Failed to re-encode entire text. Dropping characters: #{inspect(rest)}\")\n        reencoded_text\n\n      reencoded_text ->\n        reencoded_text\n    end\n  end\n\n  defp reencode_body(other, body) do\n    message = \"Need to implement re-encoding support for: #{other}\"\n    Logger.error(message)\n    Sentry.capture_message(\"#{inspect(__MODULE__)}: #{message}\")\n    body\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/data_frame.ex",
    "content": "defmodule Transport.IRVE.DataFrame do\n  @moduledoc \"\"\"\n  Tooling supporting the parsing of an IRVE static file into\n  an [Explorer `DataFrame`](https://hexdocs.pm/explorer/Explorer.DataFrame.html).\n\n  This brings a number of benefits:\n  - built-in data munging/preprocessing on a per-column basis\n  - more efficient storage (RAM wise)\n  - column typing\n\n  See [Ten Minutes to Explorer (Livebook)](https://github.com/elixir-explorer/explorer/blob/main/notebooks/exploring_explorer.livemd)\n  for a gentle introduction.\n  \"\"\"\n  require Explorer.DataFrame\n\n  @doc \"\"\"\n  Helper function to convert TableSchema types into DataFrame ones.\n\n  There is no attempt to make this generic at this point, it is focusing solely\n  on the static IRVE use.\n\n  Only comma `,` and semicolon `;` column separators are supported. The column separator\n  is inferred from the first line of the file. An exception will be raised\n  if an unsupported separator is encountered.\n\n  In strict mode (the default), the types are remapped as follow:\n\n  iex> Transport.IRVE.DataFrame.remap_schema_type(:geopoint)\n  :string\n  iex> Transport.IRVE.DataFrame.remap_schema_type(:number)\n  {:f, 64}\n  iex> Transport.IRVE.DataFrame.remap_schema_type(:boolean)\n  :boolean\n  iex> Transport.IRVE.DataFrame.remap_schema_type(:literally_anything)\n  :literally_anything\n\n  In non-strict mode (used by the current prototype), we read some types as `:string`\n  in order to apply clean-up before casting to the actual target type manually:\n\n  iex> Transport.IRVE.DataFrame.remap_schema_type(:boolean, _strict = false)\n  :string\n  iex> Transport.IRVE.DataFrame.remap_schema_type(:literally_anything, _strict = false)\n  :literally_anything\n  \"\"\"\n  def remap_schema_type(input_type, strict \\\\ true)\n\n  def remap_schema_type(input_type, true = _strict) do\n    case input_type do\n      :geopoint -> :string\n      :number -> {:f, 64}\n      type -> type\n    end\n  end\n\n  def remap_schema_type(input_type, false = _strict) do\n    case remap_schema_type(input_type, true) do\n      :boolean -> :string\n      type -> type\n    end\n  end\n\n  @doc \"\"\"\n  Parse an in-memory binary of CSV content into a typed `Explorer.DataFrame` for IRVE use.\n\n  Current behaviour is that the embedded static IRVE schema enforces the field type, for fields\n  that are known.\n\n  For instance, a `string` field in the input schema will be considered as a `string` in the `DataFrame`:\n\n  iex> Transport.IRVE.DataFrame.dataframe_from_csv_body!(\"id_pdc_itinerance\\\\nABC123\")\n  #Explorer.DataFrame<\n    Polars[1 x 1]\n    id_pdc_itinerance string [\"ABC123\"]\n  >\n\n  Even if it contains something that would be considered a float (the schema type spec wins):\n\n  iex> Transport.IRVE.DataFrame.dataframe_from_csv_body!(\"id_pdc_itinerance\\\\n22.0\")\n  #Explorer.DataFrame<\n    Polars[1 x 1]\n    id_pdc_itinerance string [\"22.0\"]\n  >\n\n  An `integer` field will be mapped to a `integer` (here, signed 64-bits):\n\n  iex> Transport.IRVE.DataFrame.dataframe_from_csv_body!(\"nbre_pdc\\\\n123\")\n  #Explorer.DataFrame<\n    Polars[1 x 1]\n    nbre_pdc s64 [123]\n  >\n\n  A `boolean` field in the schema, similary, will correctly result into a `boolean` `DataFrame` field:\n\n  iex> Transport.IRVE.DataFrame.dataframe_from_csv_body!(\"reservation\\\\nfalse\")\n  #Explorer.DataFrame<\n    Polars[1 x 1]\n    reservation boolean [false]\n  >\n\n  And dates are also handled correctly:\n\n  iex> Transport.IRVE.DataFrame.dataframe_from_csv_body!(\"date_mise_en_service\\\\n2024-10-02\")\n  #Explorer.DataFrame<\n    Polars[1 x 1]\n    date_mise_en_service date [2024-10-02]\n  >\n\n  Other, unknown columns, are at this point kept, and types are inferred:\n\n  iex> Transport.IRVE.DataFrame.dataframe_from_csv_body!(\"foo,bar\\\\n123,14.0\")\n  #Explorer.DataFrame<\n    Polars[1 x 2]\n    foo s64 [123]\n    bar f64 [14.0]\n  >\n\n  Congratulations for reading this far.\n  \"\"\"\n  def dataframe_from_csv_body!(body, schema \\\\ Transport.IRVE.StaticIRVESchema.schema_content(), strict \\\\ true) do\n    dtypes =\n      schema\n      |> Map.fetch!(\"fields\")\n      |> Enum.map(fn %{\"name\" => name, \"type\" => type} ->\n        {\n          String.to_atom(name),\n          String.to_atom(type)\n          |> Transport.IRVE.DataFrame.remap_schema_type(strict)\n        }\n      end)\n\n    delimiter = guess_delimiter!(body)\n\n    # to be tested - do not call `load_csv!` as it will `inspect` the error\n    case Explorer.DataFrame.load_csv(body, dtypes: dtypes, delimiter: delimiter) do\n      {:ok, df} -> df\n      {:error, error} -> raise(error)\n    end\n  end\n\n  defmodule ColumnDelimiterGuessError do\n    @moduledoc \"\"\"\n    Raised when the code could not determine the proper delimiter.\n\n    Forwards the data that was used to make the guess, so that the caller\n    can provide more insight.\n    \"\"\"\n    defexception col_seps_frequencies: %{}\n\n    @impl true\n    def message(%{col_seps_frequencies: frequencies}) do\n      \"Could not guess column delimiter (frequencies: #{inspect(frequencies)})\"\n    end\n  end\n\n  @doc \"\"\"\n  Attempt to guess the column delimiter based on the provided body.\n\n  Only `;` and `,` are allowed at this point; an exception will be thrown otherwise.\n\n  Once the data is stripped, if only commas are remaining, this is what gets picked:\n\n  iex> guess_delimiter!(\"hello,world\")\n  \",\"\n\n  Same for semi-colons:\n\n  iex> guess_delimiter!(\"hello;world;again\")\n  \";\"\n\n  In cases where we have mixed separators, an error is raised:\n\n  iex> guess_delimiter!(\"hello;world,again\")\n  ** (Transport.IRVE.DataFrame.ColumnDelimiterGuessError) Could not guess column delimiter (frequencies: %{\",\" => 1, \";\" => 1})\n\n  During unit tests, bodies with a single column (hence not column separator) are allowed.\n  In that case \",\" is assumed:\n\n  iex> guess_delimiter!(\"a_single_column\")\n  \",\"\n\n  An attempt to remove quotes, whitespaces, and UTF-8 BOM is done:\n\n  iex> guess_delimiter!(\"\\\\uFEFF\\\\\"hello_foobar  \\\\\",  world, again\\r\")\n  \",\"\n\n  \"\"\"\n  def guess_delimiter!(body) do\n    col_seps_frequencies = body |> first_line |> remove_bom() |> separators_frequencies()\n    separators = Map.keys(col_seps_frequencies)\n\n    # pattern match individually, so we can raise a proper error message\n    # if we cannot determine the column separator with good certainty\n    case separators do\n      [\";\"] -> \";\"\n      [\",\"] -> \",\"\n      # for single column testing files, at this point\n      [] -> \",\"\n      # otherwise raise, but provide data for reporting\n      _ -> raise ColumnDelimiterGuessError, col_seps_frequencies: col_seps_frequencies\n    end\n  end\n\n  def first_line(body) do\n    body\n    |> String.split(\"\\n\", parts: 2)\n    |> hd()\n  end\n\n  def remove_bom(string) do\n    string\n    |> String.replace(\"\\uFEFF\", \"\")\n  end\n\n  @doc \"\"\"\n  Remove quotes, word characters & whitespaces, then attempt to identify columns separators\n  and their frequencies of appearance.\n\n  iex> Transport.IRVE.DataFrame.separators_frequencies(\"hello;world;nice\")\n  %{\";\" => 2}\n\n  iex> Transport.IRVE.DataFrame.separators_frequencies(\"hello,\\\\\"world\\\\\";nice, extra \\r\")\n  %{\";\" => 1, \",\" => 2}\n  \"\"\"\n  def separators_frequencies(string) do\n    ~r/\"|\\w|\\s/\n    |> Regex.replace(string, \"\")\n    |> String.graphemes()\n    |> Enum.frequencies()\n  end\n\n  @doc \"\"\"\n  The `coordonneesXY` CSV field is provided as a JSON array (e.g. `\"[47.39,0.80]\"`) in the input format.\n\n  https://schema.data.gouv.fr/etalab/schema-irve-statique/2.3.1/documentation.html#propriete-coordonneesxy\n\n  The `preprocess_xy_coordinates` method attempts to remap that to 2 separate `x`, `y` fields, properly parsed.\n\n  iex> Explorer.DataFrame.new([%{coordonneesXY: \"[47.39,-0.80]\"}]) |> Transport.IRVE.DataFrame.preprocess_xy_coordinates()\n  #Explorer.DataFrame<\n    Polars[1 x 2]\n    longitude f64 [47.39]\n    latitude f64 [-0.8]\n  >\n\n  We must also support cases where there are extra spaces.\n\n  iex> Explorer.DataFrame.new([%{coordonneesXY: \"[43.958037, 4.764347]\"}]) |> Transport.IRVE.DataFrame.preprocess_xy_coordinates()\n  #Explorer.DataFrame<\n    Polars[1 x 2]\n    longitude f64 [43.958037]\n    latitude f64 [4.764347]\n  >\n\n  But wait, there is more. Leading and trailing spaces can also occur.\n\n  iex> Explorer.DataFrame.new([%{coordonneesXY: \" [6.128405 , 48.658737] \"}]) |> Transport.IRVE.DataFrame.preprocess_xy_coordinates()\n  #Explorer.DataFrame<\n    Polars[1 x 2]\n    longitude f64 [6.128405]\n    latitude f64 [48.658737]\n  >\n\n  And tabs too. Please note in the following example (from real data) longitude and latitude are swapped.\n\n    iex> Explorer.DataFrame.new([%{coordonneesXY: \"[43.306241,\\t-0.332879]\"}]) |> Transport.IRVE.DataFrame.preprocess_xy_coordinates()\n    #Explorer.DataFrame<\n      Polars[1 x 2]\n      longitude f64 [43.306241]\n      latitude f64 [-0.332879]\n    >\n  \"\"\"\n  def preprocess_xy_coordinates(df) do\n    df\n    |> Explorer.DataFrame.mutate(coordonneesXY: coordonneesXY |> strip(\"[] \"))\n    |> Explorer.DataFrame.mutate_with(fn df ->\n      %{\n        coords: Explorer.Series.split_into(df[:coordonneesXY], \",\", [:longitude, :latitude])\n      }\n    end)\n    |> Explorer.DataFrame.unnest(:coords)\n    # required or we'll get `nil` values\n    |> Explorer.DataFrame.mutate(longitude: longitude |> strip(), latitude: latitude |> strip())\n    |> Explorer.DataFrame.mutate_with(fn df ->\n      [\n        longitude: Explorer.Series.cast(df[:longitude], {:f, 64}),\n        latitude: Explorer.Series.cast(df[:latitude], {:f, 64})\n      ]\n    end)\n    |> Explorer.DataFrame.discard(:coordonneesXY)\n  end\n\n  # just what we've needed so far\n  @boolean_mappings %{\n    nil => nil,\n    \"\" => nil,\n    \"0\" => false,\n    \"1\" => true,\n    \"TRUE\" => true,\n    \"FALSE\" => false,\n    \"false\" => false,\n    \"true\" => true,\n    \"False\" => false,\n    \"True\" => true,\n    \"VRAI\" => true,\n    \"FAUX\" => false\n  }\n\n  # experimental, I think Explorer lacks a feature to allow this operation within Polars.\n  # For now, using `transform`, which is a costly operation comparatively\n  # https://hexdocs.pm/explorer/Explorer.DataFrame.html#transform/3\n  def preprocess_boolean(df, field_name, keep_as_string \\\\ false) do\n    df\n    |> Explorer.DataFrame.transform([names: [field_name]], fn row ->\n      remapped =\n        if keep_as_string do\n          Map.fetch!(@boolean_mappings, row[field_name]) |> to_string()\n        else\n          Map.fetch!(@boolean_mappings, row[field_name])\n        end\n\n      %{\n        (field_name <> \"_remapped\") => remapped\n      }\n    end)\n    |> Explorer.DataFrame.discard(field_name)\n    |> Explorer.DataFrame.rename(%{(field_name <> \"_remapped\") => field_name})\n  end\n\n  @doc \"\"\"\n  If a given column doesn't exist in the dataframe, add it & populate it\n  with nil values.\n\n  This is useful to smooth out the rare cases where optional columns are missing\n  from data files.\n\n  iex> df = Explorer.DataFrame.new(%{\"id_pdc_itinerance\" => [\"value\"]})\n  iex> result = add_empty_column_if_missing(df, \"tarification\")\n  iex> Explorer.DataFrame.to_columns(result, atom_keys: true)\n  %{id_pdc_itinerance: [\"value\"], tarification: [nil]}\n\n  If the column exists, don't change anything:\n\n  iex> df = Explorer.DataFrame.new(%{\"id_pdc_itinerance\" => [\"value\"]})\n  iex> result = add_empty_column_if_missing(df, \"id_pdc_itinerance\")\n  iex> Explorer.DataFrame.to_columns(result, atom_keys: true)\n  %{id_pdc_itinerance: [\"value\"]}\n  \"\"\"\n  def add_empty_column_if_missing(dataframe, field_name, keep_as_string \\\\ false) do\n    if field_name in Explorer.DataFrame.names(dataframe) do\n      dataframe\n    else\n      if keep_as_string do\n        dataframe\n        |> Explorer.DataFrame.mutate(%{^field_name => \"\"})\n      else\n        dataframe\n        |> Explorer.DataFrame.mutate(%{^field_name => nil})\n      end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/database_exporter.ex",
    "content": "defmodule Transport.IRVE.DatabaseExporter do\n  @moduledoc \"\"\"\n  A module to export IRVE valid PDCs (including duplicates) from the database to a CSV file.\n  It first builds a dataframe from the database content, then exports it to CSV.\n  \"\"\"\n\n  import Ecto.Query\n  require Explorer.DataFrame\n\n  @export_timeout 90_000\n\n  def export_to_csv(path) do\n    build_data_frame() |> Explorer.DataFrame.to_csv!(path)\n  end\n\n  def build_data_frame do\n    fields = database_field_list() |> Enum.map(&String.to_atom/1)\n    additionnal_file_fields = additional_file_field_list() |> Enum.map(&String.to_atom/1)\n\n    stream =\n      DB.IRVEValidPDC\n      |> join(:inner, [p], f in DB.IRVEValidFile, on: p.irve_valid_file_id == f.id)\n      |> select([p, f], {map(p, ^fields), map(f, ^additionnal_file_fields)})\n      |> DB.Repo.stream()\n\n    {:ok, df} =\n      DB.Repo.transact(\n        fn ->\n          result =\n            stream\n            |> Stream.map(&Map.merge(elem(&1, 0), elem(&1, 1)))\n            |> Enum.into([])\n            |> Explorer.DataFrame.new()\n\n          {:ok, result}\n        end,\n        timeout: @export_timeout\n      )\n\n    df\n    |> mutate_coordinates_columns()\n    # Reorder columns (Map merge got them alphabeltically ordered)\n    |> Explorer.DataFrame.select(export_field_list())\n  end\n\n  def mutate_coordinates_columns(df) do\n    df\n    |> Explorer.DataFrame.mutate(\n      consolidated_longitude: cast(longitude, {:decimal, 10, 5}),\n      consolidated_latitude: cast(latitude, {:decimal, 10, 5})\n    )\n    |> Explorer.DataFrame.discard([\"longitude\", \"latitude\"])\n    |> Explorer.DataFrame.mutate(\n      coordonneesXY: \"[\" <> cast(consolidated_longitude, :string) <> \", \" <> cast(consolidated_latitude, :string) <> \"]\"\n    )\n  end\n\n  def database_field_list do\n    Transport.IRVE.StaticIRVESchema.field_names_list()\n    |> Enum.reject(&(&1 == \"coordonneesXY\"))\n    |> Enum.concat([\"longitude\", \"latitude\"])\n  end\n\n  def additional_file_field_list do\n    [\n      \"datagouv_dataset_id\",\n      \"datagouv_resource_id\",\n      \"dataset_title\",\n      \"datagouv_organization_or_owner\",\n      \"datagouv_last_modified\"\n    ]\n  end\n\n  @doc \"\"\"\n  Returns the list and order of fields to be exported in the dataframe (and CSV file).\n  This function is also used for grouping fully identical entries in the deduplication module\n  as Explorer’s group_by needs a list of columns (or a function).\n  \"\"\"\n  def export_field_list do\n    Transport.IRVE.StaticIRVESchema.field_names_list()\n    |> Enum.concat([\"consolidated_longitude\", \"consolidated_latitude\"])\n    |> Enum.concat(additional_file_field_list())\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/database_importer.ex",
    "content": "defmodule Transport.IRVE.DatabaseImporter do\n  @moduledoc \"\"\"\n  A module to import IRVE data files and their PDC into the database, through it’s main function `write_to_db/3`.\n  This function assumes you have a path to a valid IRVE data file stored on the disk (e.g. temp folder).\n  It also assumes that you have checked that you haven’t imported yet this exact version of the file before.\n  If you try to import the same version again (same resource_id and checksum), it will raise an error.\n  When you import a new version of an existing file (same resource_id but different checksum), inside the same transaction,\n  it will insert a new file (different record ID) and it’s PDCs, then delete the previous file and its PDCs.\n  \"\"\"\n\n  import Ecto.Query\n\n  # the default timeout on `insert_all` is not enough when importing large files (e.g. Qualicharge)\n  # with this module, so we override it. It is important, as a consequence, to avoid calling this\n  # too many times in parallel, since it would exhaust the Ecto connection pool.\n  @import_timeout 90_000\n\n  # return:\n  # - `:import_successful` if the import went fine\n  # - `:already_in_db` if the same content (based on file checksum) is in db for\n  #     the provided combination of ids\n  # (else raise an error)\n  def try_write_to_db(file_path, %{\n        dataset_id: datagouv_dataset_id,\n        resource_id: datagouv_resource_id,\n        dataset_title: dataset_title,\n        datagouv_organization_or_owner: datagouv_organization_or_owner,\n        datagouv_last_modified: datagouv_last_modified\n      }) do\n    write_to_db(\n      file_path,\n      datagouv_dataset_id,\n      datagouv_resource_id,\n      dataset_title,\n      datagouv_organization_or_owner,\n      datagouv_last_modified\n    )\n\n    :import_successful\n  rescue\n    e in [Ecto.ConstraintError] ->\n      if e.type == :unique && e.constraint == \"irve_valid_file_datagouv_resource_id_checksum_index\" do\n        :already_in_db\n      else\n        reraise(e, __STACKTRACE__)\n      end\n  end\n\n  def write_to_db(\n        file_path,\n        datagouv_dataset_id,\n        datagouv_resource_id,\n        dataset_title,\n        datagouv_organization_or_owner,\n        datagouv_last_modified\n      ) do\n    content =\n      File.read!(file_path)\n      |> Transport.IRVE.RawStaticConsolidation.ensure_utf8()\n\n    rows_stream =\n      content |> Transport.IRVE.Processing.read_as_data_frame() |> Explorer.DataFrame.to_rows_stream()\n\n    checksum = :crypto.hash(:sha256, content) |> Base.encode16(case: :lower)\n\n    DB.Repo.transaction(\n      fn ->\n        # This may raise an error if we try to insert a duplicate (same datagouv_resource_id and checksum)\n        # which is fine, the caller should handle it.\n        %DB.IRVEValidFile{id: file_id} =\n          write_new_file!(\n            datagouv_dataset_id,\n            datagouv_resource_id,\n            checksum,\n            dataset_title,\n            datagouv_organization_or_owner,\n            datagouv_last_modified\n          )\n\n        write_pdcs(rows_stream, file_id)\n        # Eventually try to erase previous file, which cascades on delete on PDCs.\n        delete_previous_file_and_pdcs(datagouv_dataset_id, datagouv_resource_id, checksum)\n      end,\n      timeout: @import_timeout\n    )\n  end\n\n  defp write_new_file!(\n         datagouv_dataset_id,\n         datagouv_resource_id,\n         checksum,\n         dataset_title,\n         datagouv_organization_or_owner,\n         datagouv_last_modified\n       ) do\n    now = DateTime.utc_now() |> DateTime.truncate(:microsecond)\n\n    file_data = %DB.IRVEValidFile{\n      datagouv_dataset_id: datagouv_dataset_id,\n      datagouv_resource_id: datagouv_resource_id,\n      checksum: checksum,\n      dataset_title: dataset_title,\n      datagouv_organization_or_owner: datagouv_organization_or_owner,\n      datagouv_last_modified: parse_datetime(datagouv_last_modified),\n      inserted_at: now,\n      updated_at: now\n    }\n\n    DB.Repo.insert!(file_data, returning: [:id])\n  end\n\n  # Similar implementation than Transport.ImportData.parse_datetime/1\n  defp parse_datetime(date) when is_binary(date) do\n    {:ok, datetime, _offset} = DateTime.from_iso8601(date)\n\n    # Can’t use :utc_datetime_usec in the schema\n    # because some datagouv resources do not have ms precision in the last_modified field,\n    # which would make the import fail with errors like:\n    # :utc_datetime_usec expects microsecond precision, got: ~U[2026-01-01 03:01:19Z]\"\n    # It works fine working with changesets (aka all good on DB.Resource/Dataset)\n    # but we’re directly inserting with `insert_all` here.\n    # See https://elixirforum.com/t/upgrading-to-ecto-3-anyway-to-easily-deal-with-usec-it-complains-with-or-without-usec/22137/7\n    DateTime.truncate(datetime, :second)\n  end\n\n  defp write_pdcs(rows_stream, file_id) do\n    rows_stream\n    |> Stream.map(&DB.IRVEValidPDC.raw_data_to_schema/1)\n    |> Stream.map(&Map.put(&1, :irve_valid_file_id, file_id))\n    |> Stream.map(&DB.IRVEValidPDC.insert_timestamps/1)\n    |> Stream.chunk_every(1000)\n    |> Stream.each(fn chunk ->\n      DB.Repo.insert_all(DB.IRVEValidPDC, chunk)\n    end)\n    |> Stream.run()\n  end\n\n  defp delete_previous_file_and_pdcs(datagouv_dataset_id, datagouv_resource_id, checksum) do\n    from(f in DB.IRVEValidFile,\n      where:\n        f.datagouv_dataset_id == ^datagouv_dataset_id and f.datagouv_resource_id == ^datagouv_resource_id and\n          f.checksum != ^checksum\n    )\n    # The PDCs are deleted by the foreign key constraint with on_delete: :delete_all\n    |> DB.Repo.delete_all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/deduplicator.ex",
    "content": "defmodule Transport.IRVE.Deduplicator do\n  @moduledoc \"\"\"\n  A module to deduplicate IRVE valid PDCs in the database, taking as an entry point\n  the dataframe from the `Transport.IRVE.DatabaseExporter` module.\n  \"\"\"\n\n  require Explorer.DataFrame\n\n  # Loaded at compile time from priv/irve_prioritary_datasets.yml\n  @prioritary_datasets :transport\n                       |> Application.app_dir(\"priv\")\n                       |> Kernel.<>(\"/irve_prioritary_datasets.yml\")\n                       |> File.read!()\n                       |> YamlElixir.read_from_string!()\n\n  @doc \"\"\"\n  Main method of deduplication.\n  Takes a dataframe of IRVE valid PDCs,\n  returns the same dataframe with an additional column \"deduplication_status\" with information about the duplicates.\n  Deduplication is done on the \"id_pdc_itinerance\" column.\n  For each group of lines sharing the same \"id_pdc_itinerance\", only one entry should have a \"kept_because_reason\" status.\n  (It’s nearly the case, but there are edge cases.)\n  We group the dataframe by this column, and then can use Explorer \"group aware\" aggregation functions.\n  There are multiple filters applied, once a filter has written a deduplication_status, this won’t be overwritten by next filters.\n  How every filter works in detail:\n  - Non concerné : we remove all the lines\n  - Unique: if a pdc is unique, it’s written in the deduplication_status column.\n  - In_prioritary_datasets: we check the min value of the priority for each group of duplicates.\n      - If no entry in the duplicates group is in a prioritary dataset, no status is written for this filter.\n      - Else, we keep the one corresponding to this min (kept_because_in_prioritary_dataset) and we mark as duplicates all the other ones.\n  - Date_maj: we look at the max date_maj for each group of duplicates.\n    - If there is only one most recent date_maj, we keep it and mark others as duplicates.\n    - If there are multiple with the same max date_maj, then we cannot decide for these entries (no status written),\n      but we mark the eventual older ones as duplicates.\n  - Datagouv_last_modified: then for the last undecided entries (that are dups that have the same and max date_maj…),\n    we mark as kept the one(s) with the most recent datagouv_last_modified, and the others as duplicates.\n  - Exact duplicate in the same file: We check if there are still exact duplicates in the same file (same values on all columns), and we keep only one of them.\n  - Remove undecided duplicates: if after all these rules, there are still duplicates that we cannot decide on,\n    we flag them to be removed.\n\n  Values of the additional column:\n  - unique\n  - removed_because_non_concerne\n  - kept_because_in_prioritary_dataset\n  - removed_because_not_in_prioritary_dataset\n  - kept_because_date_maj_more_recent\n  - removed_because_date_maj_not_more_recent\n  - kept_because_resource_more_recent\n  - removed_because_resource_not_more_recent\n  - kept_because_exact_duplicate_in_same_file\n  - removed_because_exact_duplicate_in_same_file\n  - removed_because_no_rule_applies\n  \"\"\"\n  def add_duplicates_column(%Explorer.DataFrame{} = df) do\n    df\n    |> Explorer.DataFrame.group_by(\"id_pdc_itinerance\")\n    |> remove_non_concerne_rule()\n    |> unique_rule()\n    |> in_prioritary_datasets_rule()\n    |> date_maj_rule()\n    |> datagouv_last_modified_rule()\n    |> exact_duplicate_in_same_file_rule()\n    |> remove_undecided_duplicates_rule()\n  end\n\n  def discard_duplicates(df) do\n    df\n    |> Explorer.DataFrame.filter(\n      deduplication_status in [\n        \"kept_because_exact_duplicate_in_same_file\",\n        \"unique\",\n        \"kept_because_date_maj_more_recent\",\n        \"kept_because_resource_more_recent\",\n        \"kept_because_in_prioritary_dataset\"\n      ]\n    )\n  end\n\n  defp remove_non_concerne_rule(df) do\n    df\n    |> Explorer.DataFrame.mutate(\n      deduplication_status:\n        if(id_pdc_itinerance == \"Non concerné\",\n          do: \"removed_because_non_concerne\"\n        )\n    )\n  end\n\n  defp unique_rule(df) do\n    df\n    |> Explorer.DataFrame.mutate(similar_pdc_count: count(datagouv_resource_id))\n    |> Explorer.DataFrame.mutate(\n      deduplication_status:\n        if(similar_pdc_count == 1 and is_nil(deduplication_status), do: \"unique\", else: deduplication_status)\n    )\n    |> Explorer.DataFrame.discard(\"similar_pdc_count\")\n  end\n\n  defp in_prioritary_datasets_rule(df) do\n    priority_df = Explorer.DataFrame.new(@prioritary_datasets)\n\n    df\n    |> Explorer.DataFrame.join(priority_df, how: :left, on: \"datagouv_dataset_id\")\n    |> Explorer.DataFrame.mutate(min_priority: min(priority))\n    |> Explorer.DataFrame.mutate(\n      deduplication_status:\n        cond do\n          is_not_nil(deduplication_status) ->\n            deduplication_status\n\n          priority == min_priority and is_not_nil(min_priority) ->\n            \"kept_because_in_prioritary_dataset\"\n\n          is_not_nil(min_priority) ->\n            \"removed_because_not_in_prioritary_dataset\"\n\n          true ->\n            nil\n        end\n    )\n    |> Explorer.DataFrame.discard(\"priority\")\n    |> Explorer.DataFrame.discard(\"min_priority\")\n  end\n\n  defp date_maj_rule(df) do\n    df\n    |> Explorer.DataFrame.mutate(max_date_maj: max(date_maj))\n    |> Explorer.DataFrame.mutate(is_max_date_maj: date_maj == max_date_maj)\n    |> Explorer.DataFrame.group_by([\"id_pdc_itinerance\", \"is_max_date_maj\"])\n    |> Explorer.DataFrame.mutate(count_is_max_date_maj: count(datagouv_resource_id))\n    |> Explorer.DataFrame.mutate(\n      deduplication_status:\n        cond do\n          is_not_nil(deduplication_status) ->\n            deduplication_status\n\n          is_max_date_maj and count_is_max_date_maj == 1 ->\n            \"kept_because_date_maj_more_recent\"\n\n          not is_max_date_maj ->\n            \"removed_because_date_maj_not_more_recent\"\n\n          true ->\n            nil\n        end\n    )\n    |> Explorer.DataFrame.discard(\"max_date_maj\")\n    |> Explorer.DataFrame.discard(\"count_is_max_date_maj\")\n  end\n\n  defp datagouv_last_modified_rule(df) do\n    # Please note the dataframe received here is still grouped both by id_pdc_itinerance and is_max_date_maj\n    # from the date_maj_rule.\n    # This is quite important because in the date_maj_rule, we may have \"incomplete\" groups:\n    # some entries are already discarded (because older date_maj),\n    # So we only want to compare the datagouv_last_modified of the entries that are still \"in competition\"\n    # (that have is_max_date_maj true)\n    df\n    |> Explorer.DataFrame.mutate(max_datagouv_last_modified: max(datagouv_last_modified))\n    |> Explorer.DataFrame.mutate(is_max_datagouv_last_modified: datagouv_last_modified == max_datagouv_last_modified)\n    |> Explorer.DataFrame.group_by([\"id_pdc_itinerance\", \"is_max_date_maj\", \"is_max_datagouv_last_modified\"])\n    |> Explorer.DataFrame.mutate(count_max_datagouv_last_modified: count(is_max_datagouv_last_modified))\n    |> Explorer.DataFrame.mutate(\n      deduplication_status:\n        cond do\n          is_not_nil(deduplication_status) ->\n            deduplication_status\n\n          datagouv_last_modified == max_datagouv_last_modified and count_max_datagouv_last_modified == 1 ->\n            \"kept_because_resource_more_recent\"\n\n          not is_max_datagouv_last_modified ->\n            \"removed_because_resource_not_more_recent\"\n\n          true ->\n            nil\n        end\n    )\n    |> Explorer.DataFrame.discard(\"max_datagouv_last_modified\")\n    |> Explorer.DataFrame.discard(\"count_max_datagouv_last_modified\")\n    |> Explorer.DataFrame.ungroup()\n    |> Explorer.DataFrame.discard(\"is_max_date_maj\")\n    |> Explorer.DataFrame.discard(\"is_max_datagouv_last_modified\")\n  end\n\n  defp exact_duplicate_in_same_file_rule(df) do\n    df\n    # This is grouping by all columns, thus grouping identical entries (with same file ids) together\n    |> Explorer.DataFrame.group_by(Transport.IRVE.DatabaseExporter.export_field_list())\n    |> Explorer.DataFrame.mutate(count_dups: count(id_pdc_itinerance))\n    |> Explorer.DataFrame.mutate(min_row_index: min(row_index(id_pdc_itinerance)))\n    |> Explorer.DataFrame.mutate(\n      deduplication_status:\n        cond do\n          is_not_nil(deduplication_status) ->\n            deduplication_status\n\n          count_dups > 1 and row_index(id_pdc_itinerance) == min_row_index ->\n            \"kept_because_exact_duplicate_in_same_file\"\n\n          count_dups > 1 ->\n            \"removed_because_exact_duplicate_in_same_file\"\n\n          true ->\n            nil\n        end\n    )\n    |> Explorer.DataFrame.discard(\"count_dups\")\n    |> Explorer.DataFrame.discard(\"min_row_index\")\n    |> Explorer.DataFrame.ungroup()\n  end\n\n  defp remove_undecided_duplicates_rule(df) do\n    df\n    |> Explorer.DataFrame.mutate(\n      deduplication_status:\n        if(\n          is_nil(deduplication_status),\n          do: \"removed_because_no_rule_applies\",\n          else: deduplication_status\n        )\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/dynamic_irve_schema.ex",
    "content": "defmodule Transport.IRVE.DynamicIRVESchema do\n  @moduledoc \"\"\"\n  A module providing programmatic access to the dynamic IRVE schema,\n  as stored in the source code.\n  \"\"\"\n\n  def schema_content do\n    Transport.CachedFiles.dynamic_irve_schema()\n  end\n\n  # builds the field list based on the actual schema\n  def build_schema_fields_list do\n    schema_content()\n    |> Map.fetch!(\"fields\")\n    |> Enum.map(fn field -> Map.fetch!(field, \"name\") end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/extractor.ex",
    "content": "defmodule Transport.IRVE.Extractor do\n  @moduledoc \"\"\"\n  Higher level module responsible for the overall ETL work:\n  - stream of data gouv IRVE resources meta-data\n  - extra data added thanks to individual resource body fetching\n  - report structure and insertion in database\n  \"\"\"\n\n  require Logger\n  import Transport.LogTimeTaken\n\n  @static_irve_datagouv_url \"https://www.data.gouv.fr/api/1/datasets/?schema=etalab/schema-irve-statique\"\n\n  @doc \"\"\"\n  Fetches the list of all `schema-irve-statique` resources from data gouv, using parallelized pagination.\n\n  The code fetches datasets, then unpack resources belonging to each dataset.\n  \"\"\"\n  def datagouv_resources(pagination_options \\\\ []) do\n    @static_irve_datagouv_url\n    |> Transport.IRVE.Fetcher.pages(pagination_options)\n    |> Task.async_stream(&process_data_gouv_page/1, on_timeout: :kill_task, max_concurrency: 10)\n    |> Stream.map(fn {:ok, result} -> result end)\n    |> Stream.flat_map(fn page -> page[:data][\"data\"] end)\n    |> Stream.map(&unpack_resources/1)\n    |> Stream.concat()\n    |> Stream.map(&remap_fields/1)\n    |> Stream.filter(fn x -> x[:schema_name] == \"etalab/schema-irve-statique\" end)\n    |> Enum.into([])\n  end\n\n  @doc \"\"\"\n  Retrieve one page of resource results from data gouv.\n  \"\"\"\n  def process_data_gouv_page(%{url: url} = page) do\n    Logger.info(\"Fetching data gouv page #{url}\")\n    %{status: 200, body: result} = Transport.IRVE.Fetcher.get!(url)\n    Map.put(page, :data, result)\n  end\n\n  @doc \"\"\"\n  A quick imitation of `get_in` but raising error in case one of the keys is missing\n  \"\"\"\n  def fetch_in!(list, [key]), do: Map.fetch!(list, key)\n  def fetch_in!(list, [key | keys]), do: fetch_in!(Map.fetch!(list, key), keys)\n\n  @doc \"\"\"\n  Return all resources for a given dataset, keeping a bit of dataset information around.\n  \"\"\"\n  def unpack_resources(dataset) do\n    dataset[\"resources\"]\n    |> Enum.map(fn x ->\n      x\n      |> Map.put(:dataset_id, fetch_in!(dataset, [\"id\"]))\n      |> Map.put(:dataset_title, fetch_in!(dataset, [\"title\"]))\n      # a dataset organisation can be nil (in which case an \"owner\" will be there)\n      |> Map.put(:dataset_organisation_id, get_in(dataset, [\"organization\", \"id\"]) || \"???\")\n      |> Map.put(:dataset_organisation_name, get_in(dataset, [\"organization\", \"name\"]) || \"???\")\n      |> Map.put(:dataset_organisation_url, get_in(dataset, [\"organization\", \"page\"]) || \"???\")\n      |> Map.put(:datagouv_organization_or_owner, extract_organization_or_owner_name(dataset))\n      |> Map.put(:datagouv_last_modified, fetch_in!(x, [\"last_modified\"]))\n    end)\n  end\n\n  defp extract_organization_or_owner_name(dataset) do\n    get_in(dataset, [\"organization\", \"name\"]) || extract_owner_name(dataset)\n  end\n\n  defp extract_owner_name(dataset) do\n    \"#{dataset[\"owner\"][\"first_name\"]} #{dataset[\"owner\"][\"last_name\"]}\"\n  end\n\n  @doc \"\"\"\n  Extract resource fields we want to use.\n  \"\"\"\n  def remap_fields(resource) do\n    # using mandatory `fetch_in!` wherever I could, but `get_in` when occurrences\n    # showed missing data\n    %{\n      resource_id: fetch_in!(resource, [\"id\"]),\n      resource_title: fetch_in!(resource, [\"title\"]),\n      dataset_id: fetch_in!(resource, [:dataset_id]),\n      dataset_title: fetch_in!(resource, [:dataset_title]),\n      dataset_organisation_id: fetch_in!(resource, [:dataset_organisation_id]),\n      dataset_organisation_name: fetch_in!(resource, [:dataset_organisation_name]),\n      dataset_organisation_url: fetch_in!(resource, [:dataset_organisation_url]),\n      datagouv_organization_or_owner: fetch_in!(resource, [:datagouv_organization_or_owner]),\n      datagouv_last_modified: fetch_in!(resource, [:datagouv_last_modified]),\n      valid: get_in(resource, [\"extras\", \"validation-report:valid_resource\"]),\n      validation_date: get_in(resource, [\"extras\", \"validation-report:validation_date\"]),\n      schema_name: get_in(resource, [\"schema\", \"name\"]),\n      schema_version: get_in(resource, [\"schema\", \"version\"]),\n      filetype: fetch_in!(resource, [\"filetype\"]),\n      last_modified: fetch_in!(resource, [\"last_modified\"]),\n      # vs latest?\n      url: fetch_in!(resource, [\"url\"])\n    }\n  end\n\n  @doc \"\"\"\n  Parallel-download & prepare a large list of resources.\n\n  The optional callback helps updating the UI, if any.\n  \"\"\"\n  def download_and_parse_all(resources, progress_callback \\\\ nil) do\n    r = resources\n    count = r |> length()\n\n    r\n    |> Enum.with_index()\n    |> Task.async_stream(\n      fn {row, index} ->\n        if progress_callback, do: progress_callback.(index)\n\n        log_time_taken(\"IRVE - processing #{index} over #{count} (#{row[:url]})\", fn ->\n          download_and_parse_one(row, index)\n        end)\n      end,\n      timeout: 100_000,\n      on_timeout: :kill_task,\n      # Going higher will work, but there is a risk that data gouv rate-limiter & throttling\n      # will kick-in, impacting other processes from our same IP address\n      max_concurrency: 10\n    )\n    |> Enum.map(fn {:ok, x} -> x end)\n    |> Enum.map(fn x ->\n      Map.take(x, [\n        :dataset_id,\n        :http_status,\n        :dataset_title,\n        :dataset_organisation_name,\n        :dataset_organisation_url,\n        :resource_id,\n        :resource_title,\n        :valid,\n        :line_count,\n        :filetype,\n        :last_modified,\n        :index\n      ])\n    end)\n  end\n\n  @doc \"\"\"\n  Download a given resource, keep HTTP status around, and extract some metadata.\n  \"\"\"\n  def download_and_parse_one(row, index) do\n    %Req.Response{status: status, body: body} =\n      Transport.IRVE.Fetcher.get!(row[:url], compressed: false, decode_body: false)\n\n    row\n    |> Map.put(:http_status, status)\n    |> Map.put(:index, index)\n    |> then(fn x -> process_resource_body(x, body) end)\n  end\n\n  @doc \"\"\"\n  For a given resource and corresponding body, enrich data with\n  extra stuff like estimated number of charge points.\n  \"\"\"\n  def process_resource_body(%{http_status: 200} = row, body) do\n    body = body |> String.split(\"\\n\")\n    first_line = body |> hd()\n    line_count = (body |> length) - 1\n    id_detected = first_line |> String.contains?(\"id_pdc_itinerance\")\n    # a field from v1, which does not end like a field in v2\n    old_schema = first_line |> String.contains?(\"ad_station\")\n\n    row\n    |> Map.put(:id_pdc_itinerance_detected, id_detected)\n    |> Map.put(:old_schema, old_schema)\n    |> Map.put(:first_line, first_line)\n    |> Map.put(:line_count, line_count)\n  end\n\n  def process_resource_body(row, _body), do: row\n\n  @doc \"\"\"\n  Save the outcome in the database for reporting.\n  \"\"\"\n  def insert_report!(resources) do\n    %DB.ProcessingReport{}\n    |> DB.ProcessingReport.changeset(%{content: %{resources: resources}})\n    |> DB.Repo.insert!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/fetcher.ex",
    "content": "defmodule Transport.IRVE.Fetcher do\n  @moduledoc \"\"\"\n  A central point for HTTP fetching, including:\n  - data gouv pagination\n  - individual resource fetching\n  \"\"\"\n\n  # the root phoenix path, to be improved of course\n  def cache_dir, do: Path.join(__ENV__.file, \"../../../../../cache-dir\") |> Path.expand()\n\n  def http_options do\n    # NOTE: useful when iterating in development, disabled by default\n    if Application.get_env(:transport, :irve_consolidation_caching, false) do\n      [\n        enable_cache: true,\n        custom_cache_dir: cache_dir()\n      ]\n    else\n      [\n        enable_cache: false\n      ]\n    end\n  end\n\n  @doc \"\"\"\n  Return the list of all pages for a given query (by querying one page and inferring other pages).\n  \"\"\"\n  def pages(base_url, pagination_options \\\\ []) do\n    http_client = Transport.HTTPClient\n    options = http_options()\n\n    Transport.IRVE.HTTPPagination.naive_paginated_urls_stream(base_url, http_client, options, pagination_options)\n  end\n\n  def get!(url, options \\\\ []) do\n    http_client = Transport.HTTPClient\n    options = options |> Keyword.merge(http_options())\n\n    http_client.get!(url, options)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/http_pagination.ex",
    "content": "defmodule Transport.IRVE.HTTPPagination do\n  @moduledoc \"\"\"\n  Although namespaced under IRVE for simplicity, this is more data-gouv specific.\n\n  This provides a paginating strategy based on the idea of generating all paginated\n  urls at once, based on the first page response, instead of waiting for each link.\n\n  Works at the moment, could need more work if data gouv changes of behaviour\n  in the future though.\n  \"\"\"\n\n  require Logger\n\n  @doc \"\"\"\n  Using a base url and an http client, generates a stream of pages urls using\n  a naive algorithm to build all urls upfront instead of having to wait for each\n  page before getting the other pages.\n\n  This will only work for some cases (e.g. datagouv).\n\n  Current implementation assumes fixed field names and a decoded (JSON, typically) response,\n  but is already partially generic.\n  \"\"\"\n  def naive_paginated_urls_stream(base_url, http_client, http_client_options, pagination_options \\\\ []) do\n    page_size = pagination_options |> Keyword.get(:page_size, 100)\n\n    %Req.Response{status: 200, body: data} =\n      http_client.get!(url = base_url <> \"&page_size=#{page_size}\", http_client_options)\n\n    # NOTE: using pattern matching to warn about \"silent limitations\" on the page_size from e.g. datagouv\n    # This prevents from highly problematic holes in the sequence of data, if the remote server truncates\n    # the page_size without giving any error.\n    %{\"total\" => total, \"page_size\" => ^page_size} = data\n    nb_pages = num_pages(total_items: total, items_per_page: page_size)\n\n    Logger.info(\"Generating paginated urls from #{url} (pages: #{nb_pages})\")\n\n    # NOTE: contract may change for something more flexible\n    1..nb_pages\n    |> Stream.map(&%{url: base_url <> \"&page=#{&1}&page_size=#{page_size}\", source: base_url})\n  end\n\n  @doc \"\"\"\n  Compute the number of pages based on total items count and page size.\n\n  Context: if we request one page too much on data gouv, an error 404 is raised (at time of writing), so\n  we want to protect against this.\n\n  Let's test a few edge cases (one of them led to a failure causing me to write this).\n\n  In case we have no items, we also have no pages at all:\n\n      iex> num_pages(total_items: 0, items_per_page: 10)\n      0\n\n  If we have just one item, we get one single page:\n\n      iex> num_pages(total_items: 1, items_per_page: 10)\n      1\n\n  Also, if the page is full, we don't overflow:\n\n      iex> num_pages(total_items: 10, items_per_page: 10)\n      1\n\n  And the next page flows right after:\n\n      iex> num_pages(total_items: 11, items_per_page: 10)\n      2\n\n  Finally (real-life case), if we get a number of fully filled pages, we must get it right:\n\n      iex> num_pages(total_items: 1200, items_per_page: 100)\n      12\n  \"\"\"\n  def num_pages(total_items: 0, items_per_page: _), do: 0\n  def num_pages(total_items: total_items, items_per_page: items_per_page), do: div(total_items - 1, items_per_page) + 1\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/processing.ex",
    "content": "defmodule Transport.IRVE.Processing do\n  @moduledoc \"\"\"\n  Leverages `Transport.IRVE.DataFrame` (see more doc there) and `Explorer.DataFrame` to read\n  and preprocess (to some extent) a raw CSV binary body.\n  \"\"\"\n\n  @doc \"\"\"\n  Takes a CSV body, read it as `DataFrame`, then preprocess all the required fields.\n  \"\"\"\n  def read_as_data_frame(body) do\n    body\n    |> convert_to_dataframe!()\n    |> add_missing_optional_columns()\n    |> preprocess_coordinates()\n    |> preprocess_boolean_fields()\n    |> select_fields()\n  end\n\n  @doc \"\"\"\n  Same as above, but prepares the DataFrame without any type casting, all columns remain strings.\n  This is useful for validation purposes.\n  \"\"\"\n  def read_as_uncasted_data_frame(body) do\n    body\n    # This allows non-comma delimiters, should have a warning accumulation later\n    |> convert_to_uncasted_dataframe!()\n    # Same as above, should exit a warning accumulation later\n    |> add_missing_optional_columns(true)\n    # True means: keep as string, avoid type interpolation\n    |> preprocess_boolean_fields(true)\n\n    # TODO: take care of field / column selection\n  end\n\n  def convert_to_dataframe!(body) do\n    # TODO: be smooth about `cable_t2_attache` - only added in v2.1.0 (https://github.com/etalab/schema-irve/releases/tag/v2.1.0)\n    # and often not provided\n    body\n    |> Transport.IRVE.DataFrame.dataframe_from_csv_body!(\n      Transport.IRVE.StaticIRVESchema.schema_content(),\n      # NOTE: we read as non-strict (impacts booleans at time of writing)\n      # because we manually reprocess them right here after.\n      _strict = false\n    )\n  end\n\n  defp convert_to_uncasted_dataframe!(body) do\n    delimiter = Transport.IRVE.DataFrame.guess_delimiter!(body)\n    # TODO: accumulate warning\n    # NOTE: `infer_schema_length: 0` enforces strings everywhere\n    case Explorer.DataFrame.load_csv(body, infer_schema_length: 0, delimiter: delimiter) do\n      {:ok, df} -> df\n      {:error, error} -> raise \"Error loading CSV into dataframe: #{inspect(error)}\"\n    end\n  end\n\n  def preprocess_coordinates(dataframe) do\n    Transport.IRVE.DataFrame.preprocess_xy_coordinates(dataframe)\n  end\n\n  def preprocess_boolean_fields(dataframe, keep_as_string \\\\ false) do\n    Transport.IRVE.StaticIRVESchema.boolean_columns()\n    |> Enum.reduce(dataframe, fn column, dataframe_acc ->\n      Transport.IRVE.DataFrame.preprocess_boolean(dataframe_acc, column, keep_as_string)\n    end)\n  end\n\n  @doc \"\"\"\n  Add empty columns for optional schema fields that are sometimes missing in CSV files.\n\n  Manually cherry-picked fields which are all \"non-required\" in the schema at time of writing.\n\n  A later version will likely automatically use all fields, but manual exceptions are likely\n  to still be useful.\n\n  Note: the field `cable_t2_attache` is added here, and then in the \"raw static consolidation\"\n  path it is later removed again in `select_fields/1`.\n  \"\"\"\n  def add_missing_optional_columns(dataframe, keep_as_string \\\\ false) do\n    Transport.IRVE.StaticIRVESchema.optional_fields()\n    |> Enum.reduce(dataframe, fn column, dataframe_acc ->\n      Transport.IRVE.DataFrame.add_empty_column_if_missing(dataframe_acc, column, keep_as_string)\n    end)\n  end\n\n  def select_fields(dataframe) do\n    dataframe\n    |> Explorer.DataFrame.select(\n      (Transport.IRVE.StaticIRVESchema.field_names_list() --\n         [\"coordonneesXY\", \"cable_t2_attache\"]) ++\n        [\"longitude\", \"latitude\"]\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/raw_report_item.ex",
    "content": "defmodule Transport.IRVE.RawReportItem do\n  @moduledoc \"\"\"\n  Struct representing one IRVE resource in the consolidation report. The `ReportItem`\n  let data reusers know whether a resource has been included or not, and if not,\n  why, along with some useful stats.\n  \"\"\"\n  @enforce_keys [:dataset_id, :resource_id, :resource_url, :estimated_pdc_count, :extension]\n  defstruct [:dataset_id, :resource_id, :resource_url, :error, :estimated_pdc_count, :extension]\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/raw_static_consolidation.ex",
    "content": "defmodule Transport.IRVE.RawStaticConsolidation do\n  require Logger\n  import Transport.IRVE.Static.Probes\n\n  @moduledoc \"\"\"\n  Consolidates IRVE (Electric Vehicle Charging Infrastructure) data from multiple data gouv resources.\n\n  This module processes resources marked with the\n  [`etalab/schema-irve-statique`](https://schema.data.gouv.fr/etalab/schema-irve-statique/) format\n  on data.gouv.fr and creates a unified, consolidated dataset following the same schema.\n\n  It is named \"raw\" because:\n  - It makes no attempt to dedupe charging points (if the same `id_pdc_itinerance`\n    is twice or more in the resources, it will appear that number of times in the consolidation output)\n  - It does not keep state between runs (e.g. no memory of previously seen files)\n\n  ## Process Overview\n\n  1. **Resources Discovery**: List IRVE resources via the data.gouv.fr API\n  2. **Content Download**: Download each resource\n  3. **Data Processing**: Attempt to parse CSV files, ensure basic typing compliance\n  4. **Consolidation**: Combine all valid datasets into a single DataFrame\n  5. **Report Generation**: Create detailed processing report for iterating on quality\n\n  No attempt is made to parallelize processing at the moment.\n\n  ## Error Handling\n\n  Limitation: one HTTP error (non-200) will fail everything for now (this will be improved in the non-raw version).\n  Other processing errors will be handled gracefully.\n\n  ## Output Files\n\n  - A consolidated CSV resource aggregating all the files that could be processed\n  - A report CSV file listing all considered resources, with the outcome & error message\n  \"\"\"\n  require Explorer.DataFrame\n\n  # needed to filter out the existing, data-gouv provided consolidation\n  @datagouv_organization_id Application.compile_env!(:transport, :datagouvfr_publisher_id)\n  # Filter also our own consolidation!\n  @transport_organization_id Application.compile_env!(:transport, :datagouvfr_transport_publisher_id)\n  # similarly, required to eliminate a test file\n  @test_dataset_id \"67811b8e8934d388950bca3f\"\n\n  @doc \"\"\"\n  Download content separately from processing, because we need to provide an estimate of the number of lines\n  even if the processing fails. Asserting 200 is fine here, because the target server is data gouv & quite reliable.\n  \"\"\"\n  @spec download_resource_content!(String.t()) :: map()\n  def download_resource_content!(url) do\n    %{status: status, body: body} = Transport.IRVE.Fetcher.get!(url, compressed: false, decode_body: false)\n    %{status: status, body: body}\n  end\n\n  @doc \"\"\"\n  Process a row (resource). The full content (body) is expected together with the original file extension.\n  \"\"\"\n  @spec process_resource(map(), binary(), integer(), String.t()) :: {:ok, Explorer.DataFrame.t()} | {:error, any()}\n  def process_resource(row, body, status, extension) do\n    if status != 200 do\n      raise \"HTTP status is not 200 (#{status})\"\n    end\n\n    # Producers can only be orgs, not individuals.\n    # We perform the check here because we want an error to be reported and an estimation of number of pdc.\n    # That needs the body to be downloaded even if the body isn’t used for the check.\n    ensure_producer_is_org!(row)\n\n    # A number of checks are carried out before attempting to parse the data, using a couple of heuristics,\n    # in order to get meaningful error messages in the report.\n    run_cheap_blocking_checks(body, extension)\n\n    # We convert the rare latin-1 files into UTF-8\n    body = ensure_utf8(body)\n\n    # Convert a bogus column for specific cases, until it is fixed in the source\n    body = maybe_rename_bogus_num_pdl(row.dataset_id, body)\n\n    df = Transport.IRVE.Processing.read_as_data_frame(body)\n\n    # add traceability information\n    df =\n      df\n      |> Explorer.DataFrame.mutate(original_dataset_id: ^row.dataset_id)\n      |> Explorer.DataFrame.mutate(original_resource_id: ^row.resource_id)\n\n    log_debugging_stuff(row.resource_id, df)\n    {:ok, df}\n  rescue\n    error ->\n      {:error, error}\n  end\n\n  @doc \"\"\"\n  Some data files have `num-pdl` instead of `num_pdl`. This is a quick-fix until it gets fixed.\n\n  iex> maybe_rename_bogus_num_pdl(\"6853b993bb3e53379f17007c\", \"id_pdc_itinerance,num-pdl\\\\n123,456\")\n  \"id_pdc_itinerance,num_pdl\\\\n123,456\"\n  \"\"\"\n\n  def maybe_rename_bogus_num_pdl(dataset_id, body)\n      when dataset_id in [\"65f1c621e07085a369aacc22\", \"6853b993bb3e53379f17007c\"] do\n    [headers, body] = String.split(body, \"\\n\", parts: 2)\n    headers = headers |> String.replace(\"num-pdl\", \"num_pdl\")\n    [headers, body] |> Enum.join(\"\\n\")\n  end\n\n  def maybe_rename_bogus_num_pdl(_, body), do: body\n\n  @doc \"\"\"\n  Ensure that binary content is valid UTF-8. If not, attempt conversion from\n  Latin-1 to UTF-8, assuming the original encoding is Latin-1.\n\n  NOTE: This is not foolproof. The function does not verify that the input is\n  actually Latin-1. Any byte sequence is technically valid Latin-1. However,\n  based on our typical data sources (primarily French), this assumption allows\n  us to recover and correctly convert over 100 additional resources.\n\n  Example: already valid UTF-8 is returned unchanged.\n\n      iex> Transport.IRVE.RawStaticConsolidation.ensure_utf8(\"valid utf8\")\n      \"valid utf8\"\n\n  The byte `0xE9` represents \"é\" in Latin-1. The function converts it accordingly:\n\n      iex> Transport.IRVE.RawStaticConsolidation.ensure_utf8(<<0xE9>>)\n      \"é\"\n\n  This function does not raise errors for any binary input. Only non-binary input\n  (e.g., integers, maps) will raise an exception.\n  \"\"\"\n  def ensure_utf8(body) do\n    if String.valid?(body) do\n      body\n    else\n      case :unicode.characters_to_binary(body, :latin1, :utf8) do\n        converted when is_binary(converted) ->\n          converted\n\n        {:error, _, _} ->\n          raise(\"error during latin 1 -> UTF-8 transcoding (should not happen)\")\n\n        {:incomplete, _, _} ->\n          raise(\"string contains incomplete latin1 sequences\")\n      end\n    end\n  end\n\n  def run_cheap_blocking_checks(body, extension) do\n    if Transport.ZipProbe.likely_zip_content?(body) do\n      raise(\"the content is likely to be a zip file, not uncompressed CSV data\")\n    end\n\n    if String.downcase(extension) not in [\"\", \".csv\"] do\n      raise(\"the content is likely not a CSV file (extension is #{extension})\")\n    end\n\n    if probably_v1_schema(body) do\n      raise(\"looks like a v1 irve\")\n    end\n\n    if !has_id_pdc_itinerance(body) do\n      raise(\"content has no id_pdc_itinerance in first line\")\n    end\n\n    header_separator = hint_header_separator(body)\n\n    unless header_separator in [\";\", \",\"] do\n      raise(\"unsupported column separator #{header_separator}\")\n    end\n  end\n\n  def ensure_producer_is_org!(%{dataset_organisation_id: \"???\"}), do: raise(\"producer is not an organization\")\n\n  def ensure_producer_is_org!(_row), do: :ok\n\n  @doc \"\"\"\n  Not much used anymore, but has helped tremendously to debug x/y parsing issues,\n  and I'm keeping the code here because I expect it to be useful again in the future.\n  \"\"\"\n  def log_debugging_stuff(resource_id, df) do\n    nil_counts = Explorer.DataFrame.nil_count(df)\n\n    nil_counts = {\n      Explorer.Series.at(nil_counts[:id_pdc_itinerance], 0),\n      Explorer.Series.at(nil_counts[:longitude], 0),\n      Explorer.Series.at(nil_counts[:latitude], 0)\n    }\n\n    unless nil_counts == {0, 0, 0} do\n      Logger.warning(\"Resource #{resource_id} has nil on key data (#{nil_counts |> inspect})\")\n    end\n  end\n\n  def maybe_concat_rows({:error, error}, main_df), do: {main_df, error}\n  def maybe_concat_rows({:ok, df}, nil), do: {df, nil}\n  def maybe_concat_rows({:ok, df}, main_df), do: {Explorer.DataFrame.concat_rows(main_df, df), nil}\n\n  def exclude_irrelevant_resources(stream) do\n    stream\n    # exclude data gouv generated consolidation\n    |> Enum.reject(fn r -> r.dataset_organisation_id == @datagouv_organization_id end)\n    # also exclude \"test dataset\" https://www.data.gouv.fr/en/datasets/test-data-set\n    # which is a large file marked as IRVE\n    |> Enum.reject(fn r -> r.dataset_id == @test_dataset_id end)\n    |> Enum.reject(fn r -> r.dataset_organisation_id == @transport_organization_id end)\n  end\n\n  def build_report_item(row, body, extension, optional_error) do\n    %Transport.IRVE.RawReportItem{\n      dataset_id: row.dataset_id,\n      resource_id: row.resource_id,\n      resource_url: row.url,\n      error: optional_error,\n      estimated_pdc_count: body |> String.split(\"\\n\") |> Enum.count(),\n      extension: extension\n    }\n  end\n\n  def maybe_filter(stream, nil), do: stream\n  def maybe_filter(stream, function) when is_function(function), do: stream |> function.()\n\n  @doc \"\"\"\n  Core method. Builds a consolidated IRVE dataset and generates a processing report.\n  Fetches IRVE resources from data.gouv.fr, processes each resource, and\n  consolidates the data into a single CSV file. Also generates a detailed\n  report of the processing results.\n\n  ### Options\n\n  - `:data_file` (required) - Path where to generate the consolidated CSV containing all successfully processed IRVE data\n  - `:report_file` (required) - Path where the consolidation report (CSV) will be generated, containing metadata and errors for each processed resource\n  - `:filter` (optional) - Filter to apply to resources before processing (useful for e.g. sampling)\n  \"\"\"\n  def build_aggregate_and_report!(options \\\\ []) do\n    output =\n      Transport.IRVE.Extractor.datagouv_resources()\n      |> exclude_irrelevant_resources()\n      |> maybe_filter(options[:filter])\n      |> Enum.sort_by(fn r -> [r.dataset_id, r.resource_id] end)\n      |> Enum.reduce(%{df: nil, report: []}, fn row, %{df: main_df, report: report} ->\n        process_individual_resource_and_report(row, main_df, report)\n      end)\n\n    consolidation_filename = Keyword.fetch!(options, :data_file)\n    Logger.info(\"Generating IRVE consolidation data file at #{consolidation_filename}\")\n\n    output.df\n    |> Explorer.DataFrame.to_csv!(consolidation_filename)\n\n    report_filename = Keyword.fetch!(options, :report_file)\n    Logger.info(\"Generating IRVE consolidation report file at #{report_filename}\")\n\n    output.report\n    |> Enum.reverse()\n    |> Enum.map(&Map.from_struct/1)\n    |> Enum.map(fn x -> Map.put(x, :error, x.error |> inspect) end)\n    |> Explorer.DataFrame.new()\n    |> Explorer.DataFrame.to_csv!(report_filename)\n  end\n\n  def process_individual_resource_and_report(row, main_df, report) do\n    Logger.info(\"Processing resource #{row.resource_id} (url=#{row.url}, dataset_id=#{row.dataset_id})\")\n    %{body: body, status: status} = download_resource_content!(row.url)\n    extension = Path.extname(row.url)\n\n    {main_df, optional_error} = process_resource(row, body, status, extension) |> maybe_concat_rows(main_df)\n\n    report_item = build_report_item(row, body, extension, optional_error)\n\n    %{\n      df: main_df,\n      report: [report_item | report]\n    }\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/simple_consolidation.ex",
    "content": "defmodule Transport.IRVE.SimpleConsolidation do\n  @moduledoc \"\"\"\n  This module:\n  - takes the list of relevant IRVE resources from data.gouv.fr,\n  - downloads each resource file,\n  - validates it,\n  - and if valid writes the PDCs and file to the database.\n  If there is a previous version of the same resource already in the database,\n  its PDCs are replaced by the newly imported ones.\n\n  The module then reports on the outcome of each resource processing in a CSV file\n  (defaulting to upload it to S3, but can also be saved on local disk for dev/testing).\n  \"\"\"\n\n  require Logger\n  import Transport.S3.AggregatesUploader\n\n  @report_output_base_name \"consolidation_transport_irve_statique_rapport\"\n  @consolidated_file_no_dedup_base_name \"consolidation_transport_avec_doublons_irve_statique\"\n  @consolidated_file_base_name \"consolidation_transport_irve_statique\"\n\n  def process(opts \\\\ []) do\n    destination = Keyword.get(opts, :destination, :send_to_s3)\n    debug = Keyword.get(opts, :debug, false)\n\n    report_rows =\n      resource_list()\n      |> maybe_limit(opts[:limit])\n      |> Task.async_stream(\n        &process_or_rescue/1,\n        ordered: true,\n        on_timeout: :kill_task,\n        # Underlying DB operation has 90 seconds timeout, see DatabaseImporter\n        # Let’s get some room here for downloading, validating, etc.\n        timeout: :timer.seconds(120),\n        max_concurrency: 5\n      )\n      # If a task times out, we get {:exit, :timeout} instead of {:ok, result} and the following line will crash.\n      # This is intentional, we want to be aware of such timeouts.\n      |> Stream.map(fn {:ok, result} -> result end)\n      |> Stream.map(&Transport.IRVE.SimpleReportItem.from_result/1)\n      |> maybe_log_items(debug)\n      |> Enum.into([])\n\n    report = generate_report(report_rows, destination: destination)\n\n    consolidated_df =\n      Transport.IRVE.DatabaseExporter.build_data_frame()\n      |> Transport.IRVE.Deduplicator.add_duplicates_column()\n\n    write_consolidated_file(consolidated_df, @consolidated_file_no_dedup_base_name, destination)\n\n    consolidated_df = Transport.IRVE.Deduplicator.discard_duplicates(consolidated_df)\n\n    write_consolidated_file(consolidated_df, @consolidated_file_base_name, destination)\n\n    Logger.info(\"IRVE simple consolidation process completed.\")\n    {:ok, report}\n  end\n\n  # allow (quick at runtime, no config change/recompile) command-line `DEBUG=1` switch\n  # essential to develop faster locally.\n  def maybe_log_items(stream, debug) do\n    if debug do\n      stream\n      # credo:disable-for-next-line Credo.Check.Warning.IoInspect\n      |> Stream.each(&IO.inspect(&1, IEx.inspect_opts()))\n    else\n      stream\n    end\n  end\n\n  def maybe_limit(stream, limit) when is_integer(limit), do: stream |> Stream.take(limit)\n  def maybe_limit(stream, nil), do: stream\n\n  def resource_list do\n    Transport.IRVE.Extractor.datagouv_resources()\n    |> Transport.IRVE.RawStaticConsolidation.exclude_irrelevant_resources()\n    |> Enum.sort_by(fn r -> [r.dataset_id, r.resource_id] end)\n  end\n\n  # safety wrapper that we can use inside `Task.async_stream`\n  def process_or_rescue(resource) do\n    process_resource(resource)\n  rescue\n    error ->\n      {:error_occurred, error, resource}\n  end\n\n  def process_resource(resource) do\n    # optionally, for dev especially, we can keep files around until we manually delete them\n    use_permanent_disk_cache = Application.get_env(:transport, :irve_consolidation_caching, false)\n\n    path = storage_path(resource.resource_id)\n    extension = Path.extname(resource.url)\n\n    Logger.info(\"Processing resource #{resource.resource_id} (#{resource.url})\")\n\n    with_maybe_cached_download_on_disk(resource, path, extension, use_permanent_disk_cache, fn path, extension ->\n      # minus header line\n      estimated_pdc_count = (File.stream!(path) |> Enum.count()) - 1\n\n      resource =\n        resource\n        |> Map.put(:estimated_pdc_count, estimated_pdc_count)\n        |> Map.put(:file_extension, extension)\n\n      # The code is convoluted mostly because we didn't go far enough on the validator work.\n      # The validator will ultimately stop raising exceptions, and will instead return structures.\n      # But currently if a cheap check fails, an exception is thrown, and we would lose the estimated PDC count,\n      # something which is essential to report on for our current work.\n      try do\n        # Raise if the producer is not an organization. This check is not in the validator itself:\n        # it’s not linked to the file content/format, but to how it is published on data.gouv.fr.\n        # it is done after downloading the file in order to be able to report on the potential\n        # loss of PDC count.\n        Transport.IRVE.RawStaticConsolidation.ensure_producer_is_org!(resource)\n\n        validation_result = Transport.IRVE.Validator.validate(path, extension)\n        file_valid? = validation_result |> Transport.IRVE.Validator.full_file_valid?()\n\n        if file_valid? do\n          {Transport.IRVE.DatabaseImporter.try_write_to_db(path, resource), resource}\n        else\n          {:not_compliant_with_schema, resource}\n        end\n      rescue\n        error ->\n          {:error_occurred, error, resource}\n      end\n    end)\n  end\n\n  def generate_report(report_rows, destination: destination) do\n    report_df =\n      report_rows\n      |> Enum.map(&Transport.IRVE.SimpleReportItem.to_map/1)\n      |> Explorer.DataFrame.new()\n      # `select` orders columns in the provided order\n      # (https://github.com/elixir-explorer/explorer/issues/1126)\n      # sorted in a way that is more convenient when opening from\n      # LibreOffice et al. (keeping error_message, sometimes long, at the end)\n      |> Explorer.DataFrame.select([\n        \"dataset_id\",\n        \"resource_id\",\n        \"status\",\n        \"error_type\",\n        \"estimated_pdc_count\",\n        \"file_extension\",\n        \"url\",\n        \"dataset_title\",\n        \"datagouv_organization_or_owner\",\n        \"datagouv_last_modified\",\n        \"error_message\"\n      ])\n\n    case destination do\n      :send_to_s3 ->\n        Logger.info(\"Uploading report file (#{@report_output_base_name}.csv) to S3...\")\n\n        with_tmp_file(fn report_file ->\n          Explorer.DataFrame.to_csv!(report_df, report_file)\n\n          upload_aggregate!(\n            report_file,\n            \"#{@report_output_base_name}_#{timestamp()}.csv\",\n            \"#{@report_output_base_name}.csv\"\n          )\n        end)\n\n      :local_disk ->\n        report_file = @report_output_base_name <> \".csv\"\n        Logger.info(\"Saving report locally to #{report_file}...\")\n        Explorer.DataFrame.to_csv!(report_df, report_file)\n    end\n\n    report_df\n  end\n\n  def write_consolidated_file(df, base_name, :send_to_s3) do\n    Logger.info(\"Creating and uploading consolidated file (#{base_name}.csv) to S3...\")\n\n    with_tmp_file(fn consolidation_file ->\n      Explorer.DataFrame.to_csv!(df, consolidation_file)\n\n      upload_aggregate!(\n        consolidation_file,\n        \"#{base_name}_#{timestamp()}.csv\",\n        \"#{base_name}.csv\"\n      )\n    end)\n  end\n\n  def write_consolidated_file(df, base_name, :local_disk) do\n    consolidation_file = base_name <> \".csv\"\n    Logger.info(\"Creating and saving consolidated file locally to #{consolidation_file}...\")\n    Explorer.DataFrame.to_csv!(df, consolidation_file)\n  end\n\n  def storage_path(resource_id) do\n    # NOTE: to be finetuned for production, in particular\n    Path.join(System.tmp_dir(), \"irve-resource-#{resource_id}.dat\")\n  end\n\n  # TODO: 🚨 replace the 2 pattern-matching variants below by a more intelligible \"Req steps\" use.\n  # This works for now though, to allow me local-only work.\n\n  # regular workflow: process the file then delete it afterwards, no matter what, to ensure\n  # the files do not stack up on the production disk.\n  def with_maybe_cached_download_on_disk(resource, file_path, extension, false = _use_permanent_disk_cache, work_fn) do\n    download!(resource.resource_id, resource.url, file_path)\n    # NOTE: we need to pass the original extension (provided in the URL) because some heuristics use it afterwards.\n    # but the caching mechanism stores everything under the same `.dat` extension (so the file path is not enough\n    # to keep the extension around)\n    work_fn.(file_path, extension)\n  after\n    File.rm!(file_path)\n  end\n\n  # variant for dev work, where it is important to support permanent disk caching (fully offline, no etag)\n  def with_maybe_cached_download_on_disk(resource, file_path, extension, true = _use_permanent_disk_cache, work_fn) do\n    if !File.exists?(file_path), do: download!(resource.resource_id, resource.url, file_path)\n    work_fn.(file_path, extension)\n  end\n\n  def download!(resource_id, url, file) do\n    Logger.info(\"Processing resource #{resource_id} (url=#{url})\")\n    %{status: status} = Transport.HTTPClient.get!(url, compressed: false, decode_body: false, into: File.stream!(file))\n\n    unless status == 200 do\n      raise \"Error processing resource (#{resource_id}) (http_status=#{status})\"\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/simple_report_item.ex",
    "content": "defmodule Transport.IRVE.SimpleReportItem do\n  @moduledoc \"\"\"\n  Quick & dirty structure to massage the processing outcome of a single\n  IRVE file into a structure with all the same keys.\n  (as expected by the `DataFrame` that we use to create the CSV file).\n  \"\"\"\n  @enforce_keys [:dataset_id, :resource_id, :url, :dataset_title, :status, :estimated_pdc_count]\n  defstruct [\n    :dataset_id,\n    :resource_id,\n    :url,\n    :dataset_title,\n    :datagouv_organization_or_owner,\n    :datagouv_last_modified,\n    :status,\n    :error_message,\n    :error_type,\n    :estimated_pdc_count,\n    :file_extension\n  ]\n\n  def from_result({:error_occurred, error, resource}) do\n    new(resource, :error_occurred, error)\n  end\n\n  def from_result({status, resource}) do\n    new(resource, status, nil)\n  end\n\n  def to_map(%__MODULE__{} = report_row) do\n    report_row\n    |> Map.from_struct()\n    |> Map.update!(:status, &to_string/1)\n  end\n\n  defp new(resource, status, error) do\n    %__MODULE__{\n      dataset_id: resource.dataset_id,\n      resource_id: resource.resource_id,\n      url: resource.url,\n      dataset_title: resource.dataset_title,\n      datagouv_organization_or_owner: resource.datagouv_organization_or_owner,\n      datagouv_last_modified: resource.datagouv_last_modified,\n      status: status,\n      estimated_pdc_count: resource[:estimated_pdc_count],\n      error_message: maybe_error_message(error),\n      error_type: maybe_error_type(error),\n      file_extension: resource[:file_extension]\n    }\n  end\n\n  defp maybe_error_message(nil), do: nil\n  defp maybe_error_message(error), do: Exception.message(error)\n\n  defp maybe_error_type(nil), do: nil\n  defp maybe_error_type(error), do: error.__struct__ |> inspect()\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/static_irve_schema.ex",
    "content": "defmodule Transport.IRVE.StaticIRVESchema do\n  @moduledoc \"\"\"\n  A module providing programmatic access to the static IRVE schema,\n  as stored in the source code.\n  \"\"\"\n\n  @doc \"\"\"\n  Read & decode the content of the IRVE static schema,\n  from a static file that is cached (by Transport.CachedFiles) at app startup.\n  \"\"\"\n  def schema_content do\n    Transport.CachedFiles.static_irve_schema()\n  end\n\n  @doc \"\"\"\n  Field names list from the JSON schema, in the exact same order.\n\n  iex> field_names_list()\n  [\"nom_amenageur\", \"siren_amenageur\", \"contact_amenageur\", \"nom_operateur\",\n  \"contact_operateur\", \"telephone_operateur\", \"nom_enseigne\",\n  \"id_station_itinerance\", \"id_station_local\", \"nom_station\",\n  \"implantation_station\", \"adresse_station\", \"code_insee_commune\",\n  \"coordonneesXY\", \"nbre_pdc\", \"id_pdc_itinerance\", \"id_pdc_local\",\n  \"puissance_nominale\", \"prise_type_ef\", \"prise_type_2\", \"prise_type_combo_ccs\",\n  \"prise_type_chademo\", \"prise_type_autre\", \"gratuit\", \"paiement_acte\",\n  \"paiement_cb\", \"paiement_autre\", \"tarification\", \"condition_acces\",\n  \"reservation\", \"horaires\", \"accessibilite_pmr\", \"restriction_gabarit\",\n  \"station_deux_roues\", \"raccordement\", \"num_pdl\", \"date_mise_en_service\",\n  \"observations\", \"date_maj\", \"cable_t2_attache\"]\n  \"\"\"\n  def field_names_list do\n    schema_content()\n    |> Map.fetch!(\"fields\")\n    |> Enum.map(&Map.fetch!(&1, \"name\"))\n  end\n\n  @doc \"\"\"\n  Useful for reprocessing boolean fields.\n\n  iex> boolean_columns()\n  [\n              \"prise_type_ef\",\n              \"prise_type_2\",\n              \"prise_type_combo_ccs\",\n              \"prise_type_chademo\",\n              \"prise_type_autre\",\n              \"gratuit\",\n              \"paiement_acte\",\n              \"paiement_cb\",\n              \"paiement_autre\",\n              \"reservation\",\n              \"station_deux_roues\",\n              \"cable_t2_attache\"\n            ]\n  \"\"\"\n\n  def boolean_columns do\n    schema_content()\n    |> Map.fetch!(\"fields\")\n    |> Enum.filter(&(&1[\"type\"] == \"boolean\"))\n    |> Enum.map(&Map.fetch!(&1, \"name\"))\n  end\n\n  @doc \"\"\"\n  Returns the list of optional fields in the schema.\n\n  iex> optional_fields()\n  [\"nom_amenageur\", \"siren_amenageur\", \"contact_amenageur\", \"nom_operateur\",\n  \"telephone_operateur\", \"id_station_local\", \"code_insee_commune\",\n  \"id_pdc_local\", \"gratuit\", \"paiement_cb\", \"paiement_autre\", \"tarification\",\n  \"raccordement\", \"num_pdl\", \"date_mise_en_service\", \"observations\",\n  \"cable_t2_attache\"]\n  \"\"\"\n  def optional_fields do\n    schema_content()\n    |> Map.fetch!(\"fields\")\n    |> Enum.filter(&(&1[\"constraints\"][\"required\"] == false))\n    |> Enum.map(&Map.fetch!(&1, \"name\"))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/static_probes.ex",
    "content": "defmodule Transport.IRVE.Static.Probes do\n  @moduledoc \"\"\"\n  This module groups functions related to IRVE-specific CSV handling.\n  \"\"\"\n\n  @doc \"\"\"\n  A quick way to grab the first line of a CSV (in order to analyze headers without going through a proper parser)\n\n  iex> first_line(\"first,line\\\\nsome,data\")\n  \"first,line\"\n  \"\"\"\n  def first_line(body) do\n    body\n    |> String.split(\"\\n\", parts: 2)\n    |> hd()\n  end\n\n  @doc \"\"\"\n  A quick probe to evaluate if a content is likely to be v2+ schema-irve-statique data.\n\n  Ref:\n  - https://github.com/etalab/schema-irve/blob/v2.0.0/schema.json (which includes `id_pdc_itinerance`)\n  - https://github.com/etalab/schema-irve/blob/v1.0.3/schema.json (which does not - instead we had `id_pdc`)\n  \"\"\"\n  def has_id_pdc_itinerance(body) do\n    body\n    |> first_line()\n    |> String.contains?(\"id_pdc_itinerance\")\n  end\n\n  @doc \"\"\"\n  Attempt to detect column separator on a v2+ file, by looking at what is in front of `id_pdc_itinerance`.\n\n  This is a early-stage version, which will be ultimately replaced by the approach taken in\n  `Transport.IRVE.DataFrame.separators_frequencies`, but I don't want to do it right now since I\n  want to ensure the whole data processing does not regress in the process.\n\n  ### Examples\n\n  Remove double-quotes, in case they are here.\n\n  iex> hint_header_separator(\"nom_amenageur,id_pdc_itinerance,id_pdc_local\")\n  \",\"\n\n  Must also work as the very first column (edge case seen on one file):\n\n  iex> hint_header_separator(\"id_pdc_itinerance,id_pdc_local\")\n  \",\"\n\n  If nothing works, should raise:\n\n  iex> hint_header_separator(\"foobar\")\n  ** (RuntimeError) could not hint header separator from line (foobar)\n  \"\"\"\n  def hint_header_separator(body) do\n    trimmed_first_line = body |> first_line() |> String.replace(~S(\"), \"\")\n\n    # usual case, then bogus case for 623ca46c13130c3228abd018, then error\n    maybe_find_header_separator(~r/(.)id_pdc_itinerance/, trimmed_first_line) ||\n      maybe_find_header_separator(~r/\\Aid_pdc_itinerance(.)/, trimmed_first_line) ||\n      raise \"could not hint header separator from line (#{trimmed_first_line})\"\n  end\n\n  def maybe_find_header_separator(regex, first_line) do\n    case Regex.scan(regex, first_line) do\n      [[_, sep]] -> sep\n      [] -> nil\n    end\n  end\n\n  @doc \"\"\"\n  Looking at the first line of the content, try to detect if we have a v1 file (which we do not support).\n\n  This is done by detecting the presence of a v1-only field.\n\n  See https://github.com/etalab/schema-irve/compare/v1.0.3...v2.0.0#diff-9fcde326d127f74194f70e563bdf2c118c51b719c308f015b8eb0204a9a552fbL72\n  \"\"\"\n  def probably_v1_schema(body) do\n    data = body |> first_line()\n\n    # NOTE: do not use `n_amenageur`, because it will match in both v1 and v2 due to `siren_amenageur`\n    !String.contains?(data, \"nom_operateur\") && String.contains?(data, \"n_operateur\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/validator/data_frame_validation.ex",
    "content": "defmodule Transport.IRVE.Validator.DataFrameValidation do\n  @moduledoc \"\"\"\n  Once a file has been loaded & corrected for various file-level\n  issues (delimiters, encoding), it becomes possible to analyze\n  the data it contains as a whole, and build \"validation series\".\n\n  This is what this module does, leveraging `Transport.IRVE.Validator.FieldValidation`.\n\n  Logic:\n  - for each field in `Transport.IRVE.StaticIRVESchema`, setup a `check_$column_name$_valid`\n    boolean series, handling everything that is defined in the schema for that specific field. This\n    includes \"requiredness\" of the field, field type, constraints, format, everything.\n  - for each row in the data frame, setup a `check_row_valid` indicating if the row itself is valid,\n    doing a logic `AND` between all the field-level checks described above\n  \"\"\"\n\n  def setup_computed_field_validation_columns(%Explorer.DataFrame{} = df, schema) do\n    schema\n    |> Map.fetch!(\"fields\")\n    |> Enum.reduce(df, fn field_definition, df ->\n      {field_name, field_type, field_format, field_constraints} = extract_field_definition_data!(field_definition)\n      setup_computed_field_validation_column(df, field_name, field_type, field_format, field_constraints)\n    end)\n  end\n\n  @doc \"\"\"\n  Process (\"explode\") a TableSchema field definition.\n  Raise an error if an unexpected part is present, for safety.\n  \"\"\"\n  def extract_field_definition_data!(field_def) do\n    # mandatory parts\n    {name, field_def} = Map.pop!(field_def, \"name\")\n    {type, field_def} = Map.pop!(field_def, \"type\")\n    {constraints, field_def} = Map.pop!(field_def, \"constraints\")\n\n    # optional part\n    {format, field_def} = Map.pop(field_def, \"format\")\n\n    # warn us (hard fail) if something has been added to the schema\n    0 = map_size(field_def |> Map.delete(\"description\") |> Map.delete(\"example\"))\n\n    # we can now safely return, everything that existed has been processed\n    {name, type, format, constraints}\n  end\n\n  def setup_computed_field_validation_column(\n        %Explorer.DataFrame{} = df,\n        field_name,\n        type,\n        format,\n        constraints\n      ) do\n    {required, validation_constraints} = Map.pop!(constraints, \"required\")\n\n    Explorer.DataFrame.mutate_with(df, fn df ->\n      validation_series =\n        Transport.IRVE.Validator.FieldValidation.column_valid?(df, field_name, type, format, validation_constraints)\n\n      final_validation =\n        Transport.DataFrame.RequirednessProcessing.wrap_with_requiredness(df[field_name], validation_series,\n          required: required\n        )\n\n      %{\"check_column_#{field_name}_valid\" => final_validation}\n    end)\n  end\n\n  @doc \"\"\"\n  Grab all the `check_column_xyz` fields, and build a `and` operation between all of them.\n  \"\"\"\n  def setup_computed_row_validation_column(%Explorer.DataFrame{} = df) do\n    df\n    |> Explorer.DataFrame.mutate_with(fn df ->\n      row_valid =\n        df\n        |> Explorer.DataFrame.names()\n        |> Enum.filter(&String.starts_with?(&1, \"check_column_\"))\n        |> Enum.map(&df[&1])\n        |> Enum.reduce(&Explorer.Series.and/2)\n\n      %{\"check_row_valid\" => row_valid}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/validator/field_validation.ex",
    "content": "defmodule Transport.IRVE.Validator.FieldValidation do\n  @moduledoc \"\"\"\n  Schema-driven field validation for IRVE data.\n\n  Compute column validity based on field type, format, and constraints.\n  Each function clause handles a specific combination of type/format/constraints.\n\n  This module acts as an adapter between the generic validation primitives\n  and the IRVE schema-specific validation requirements.\n\n  ## Separation of Concerns\n\n  The `required` constraint is handled separately by the RequirednessProcessing module.\n  This module's `column_valid?/5` receives constraints with \"required\" already removed,\n  allowing it to focus purely on value validation logic (type checking, patterns, ranges, etc.)\n  without mixing in presence/absence logic.\n\n  ## Pattern Matching and map_size Guards\n\n  ⚠️ If you modify this code: the order & definitions of the pattern-matched clauses is\n  important and a bit delicate (like a processing pipeline) to ensure it will behave as expected.\n\n  Each `column_valid?/5` clause uses `map_size/1` guards to ensure\n  the constraints map contains exactly the expected keys. This provides automatic\n  detection of schema changes - if a new constraint key is added to the schema,\n  the validation will fail with a clear error rather than silently accepting\n  unexpected constraint combinations.\n\n  For example, `when map_size(constraints) == 1` ensures the constraints map\n  contains exactly one key (e.g., only \"minimum\" or only \"pattern\"), preventing\n  cases where additional unexpected constraints might be present.\n\n  ## Testing\n\n  There are no tests here, instead this logic is invoked & tested\n  through `Transport.IRVE.Validator.DataFrameValidation`.\n  \"\"\"\n\n  alias Explorer.Series\n  alias Transport.DataFrame.Validation.Primitives\n\n  @doc \"\"\"\n  Check if a dataframe column is valid according to schema specifications.\n\n  ## Parameters\n\n    * `df` - `Explorer.DataFrame` containing the data to validate\n    * `field_name` - Column name from schema (string)\n    * `field_type` - Field type: \"integer\", \"string\", \"boolean\", \"date\", \"number\", or \"geopoint\"\n    * `format` - Optional format: \"email\", \"array\", or date format string\n    * `constraints` - Validation constraints: `%{\"minimum\" => n}`, `%{\"pattern\" => \"regex\"}`, or `%{\"enum\" => [\"val1\", \"val2\"]}`\n\n  Note: The `\"required\"` constraint must be removed before calling this function.\n\n  ## Returns\n\n  `Explorer.Series` of booleans where `true` means valid, `false` means invalid.\n  \"\"\"\n  def column_valid?(df, field_name, \"boolean\", nil, constraints) when map_size(constraints) == 0 do\n    Primitives.boolean_value?(df[field_name])\n  end\n\n  def column_valid?(df, field_name, \"integer\", nil, %{\"minimum\" => min} = constraints)\n      when map_size(constraints) == 1 do\n    Series.and(\n      Primitives.integer_value?(df[field_name]),\n      Primitives.is_greater_or_equal(df[field_name], min)\n    )\n  end\n\n  def column_valid?(df, field_name, \"number\", nil, %{\"minimum\" => min} = constraints)\n      when map_size(constraints) == 1 do\n    Series.and(\n      Primitives.numeric?(df[field_name]),\n      Primitives.is_greater_or_equal(df[field_name], min)\n    )\n  end\n\n  def column_valid?(df, field_name, \"string\", \"email\", constraints) when map_size(constraints) == 0 do\n    Primitives.email?(df[field_name])\n  end\n\n  def column_valid?(df, field_name, \"date\", fmt, constraints) when map_size(constraints) == 0 do\n    Primitives.date?(df[field_name], fmt)\n  end\n\n  def column_valid?(df, field_name, \"geopoint\", \"array\", constraints) when map_size(constraints) == 0 do\n    Primitives.geopoint?(df[field_name], \"array\")\n  end\n\n  def column_valid?(df, field_name, \"string\", nil, %{\"pattern\" => pattern_value} = constraints)\n      when map_size(constraints) == 1 do\n    Primitives.is_matching_the_pattern(df[field_name], pattern_value)\n  end\n\n  def column_valid?(df, field_name, \"string\", nil, %{\"enum\" => values} = constraints)\n      when map_size(constraints) == 1 do\n    Primitives.is_in_enum(df[field_name], values)\n  end\n\n  def column_valid?(df, field_name, \"string\", nil, constraints) when map_size(constraints) == 0 do\n    df[field_name] |> Series.equal(df[field_name])\n  end\n\n  def column_valid?(_df, field_name, type, format, constraints) do\n    raise \"\"\"\n    Unhandled validation case for field: #{field_name}\n    type: #{inspect(type)}\n    format: #{inspect(format)}\n    constraints (excluding 'required'): #{inspect(constraints)}\n    \"\"\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/validator/summary.ex",
    "content": "defmodule Transport.IRVE.Validator.Summary do\n  @moduledoc \"\"\"\n  Struct representing the human-actionable summary produced after IRVE validation.\n  \"\"\"\n\n  @enforce_keys [\n    :valid,\n    :valid_row_count,\n    :invalid_row_count,\n    :total_row_count,\n    :file_level_errors,\n    :column_errors,\n    :error_samples\n  ]\n\n  defstruct [\n    :valid,\n    :valid_row_count,\n    :invalid_row_count,\n    :total_row_count,\n    :file_level_errors,\n    :column_errors,\n    :error_samples\n  ]\nend\n"
  },
  {
    "path": "apps/transport/lib/irve/validator/validator.ex",
    "content": "defmodule Transport.IRVE.Validator do\n  @moduledoc \"\"\"\n  Central entry point for IRVE file validation (currently working on `DataFrame`).\n  \"\"\"\n\n  def compute_validation(%Explorer.DataFrame{} = df) do\n    schema = Transport.IRVE.StaticIRVESchema.schema_content()\n\n    df\n    |> Transport.IRVE.Validator.DataFrameValidation.setup_computed_field_validation_columns(schema)\n    |> Transport.IRVE.Validator.DataFrameValidation.setup_computed_row_validation_column()\n  end\n\n  @doc \"\"\"\n  Validate an IRVE file located at `path`, returning a DataFrame with validation results.\n  This wrapper includes some pre-processing steps before actual validation.\n  These preprocessing steps do not output any warning and are silent,\n  so files that are not strictly valid may be considered as valid without any notice by this function.\n  If you want to call a strict validator (no preprocessing), use `compute_validation/1` instead.\n  \"\"\"\n  def validate(path, extension \\\\ \".csv\") do\n    # NOTE: for now, load the body in memory, because refactoring to get full streaming\n    # is too involved for the current sprint deadline.\n    body = File.read!(path)\n    Transport.IRVE.RawStaticConsolidation.run_cheap_blocking_checks(body, extension)\n    # TODO: accumulate warnings\n    body = Transport.IRVE.RawStaticConsolidation.ensure_utf8(body)\n    # TODO: accumulate warnings\n\n    body\n    |> Transport.IRVE.Processing.read_as_uncasted_data_frame()\n    |> compute_validation()\n  end\n\n  @doc \"\"\"\n  Says from the dataframe output of compute_validation/1 if all rows are valid.\n  \"\"\"\n  def full_file_valid?(%Explorer.DataFrame{} = df) do\n    df[\"check_row_valid\"]\n    |> Explorer.Series.all?()\n  end\n\n  @doc \"\"\"\n  Produces a human-actionable summary from the validated DataFrame returned by `compute_validation/1`.\n  Still an Elixir map, but the content should allow someone to know how to correct an invalid file.\n\n  Returns a map with:\n  - `valid` - whether the file is fully valid\n  - `valid_row_count` - number of valid rows\n  - `invalid_row_count` - number of invalid rows\n  - `column_errors` - map of field name => number of invalid rows for that column (only columns with at least one error)\n  - `error_samples` - up to 5 sample errors per errored column, each with `id_pdc_itinerance`, `column`, and `value`\n  \"\"\"\n  def summarize(%Explorer.DataFrame{} = df) do\n    {valid_count, invalid_count} = summarize_total_counts(df)\n    column_errors = summarize_column_errors(df)\n    error_samples = error_samples(df, column_errors)\n\n    %Transport.IRVE.Validator.Summary{\n      valid: invalid_count == 0,\n      valid_row_count: valid_count,\n      invalid_row_count: invalid_count,\n      total_row_count: valid_count + invalid_count,\n      file_level_errors: [],\n      column_errors: column_errors,\n      error_samples: error_samples\n    }\n  end\n\n  @doc \"\"\"\n  Combines `validate/2` and `summarize/1` into a single call, catching any file-level error\n  (bad encoding, wrong format, missing columns, etc.) instead of raising.\n\n  Returns the same map as `summarize/1` with an additional `file_level_error` key:\n  - `nil` when validation ran successfully (the file could still be invalid row-by-row)\n  - an error message string when a hard file-level error was caught\n\n  On a file-level error, `valid_row_count`, `invalid_row_count`, `column_errors`, and\n  `error_samples` are all `nil`/empty since there is no DataFrame to summarize from.\n  \"\"\"\n  def validate_and_summarize(path, extension \\\\ \".csv\") do\n    path\n    |> validate(extension)\n    |> summarize()\n  rescue\n    error ->\n      %Transport.IRVE.Validator.Summary{\n        valid: false,\n        valid_row_count: nil,\n        invalid_row_count: nil,\n        total_row_count: nil,\n        file_level_errors: [Exception.message(error)],\n        column_errors: %{},\n        error_samples: []\n      }\n  end\n\n  defp summarize_total_counts(df) do\n    valid_count = df[\"check_row_valid\"] |> Explorer.Series.sum()\n    invalid_count = Explorer.DataFrame.n_rows(df) - valid_count\n    {valid_count, invalid_count}\n  end\n\n  defp summarize_column_errors(df) do\n    Transport.IRVE.StaticIRVESchema.field_names_list()\n    |> Enum.map(fn field_name -> {field_name, \"check_column_#{field_name}_valid\"} end)\n    |> Enum.flat_map(fn {field_name, check_col} ->\n      error_count = df[check_col] |> Explorer.Series.not() |> Explorer.Series.sum()\n      if error_count > 0, do: [{field_name, error_count}], else: []\n    end)\n    |> Map.new()\n  end\n\n  defp error_samples(df, column_errors) do\n    column_errors\n    |> Enum.flat_map(fn {field_name, _error_count} ->\n      check_col = \"check_column_#{field_name}_valid\"\n\n      df\n      |> Explorer.DataFrame.filter_with(&(&1[check_col] |> Explorer.Series.not()))\n      |> Explorer.DataFrame.select([\"id_pdc_itinerance\", field_name])\n      # Limit to 5 samples per error column\n      |> Explorer.DataFrame.head(5)\n      |> Explorer.DataFrame.to_rows()\n      |> Enum.map(fn row ->\n        %{id_pdc_itinerance: row[\"id_pdc_itinerance\"], column: field_name, value: row[field_name]}\n      end)\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/RamboLauncher.ex",
    "content": "defmodule Transport.RamboLauncher do\n  @moduledoc \"\"\"\n  A behavior for Rambo, with dynamic dispatching\n  \"\"\"\n  @callback run(binary(), [binary()], keyword()) :: {:ok, binary()} | {:error, any()}\n\n  def impl, do: Application.get_env(:transport, :rambo_impl)\n\n  def run(binary_path, args, opts \\\\ []), do: impl().run(binary_path, args, opts)\nend\n\ndefmodule Transport.Rambo do\n  @moduledoc \"\"\"\n  Run an executable with Rambo\n  \"\"\"\n  @behaviour Transport.RamboLauncher\n\n  @impl Transport.RamboLauncher\n  def run(binary_path, args, opts) do\n    # TO DO: make sure to have a command that we can run on any dev machine (with docker)\n    # TO DO: make sure to \"clear\" the ENV before calling a binary\n    # TO DO: make sure to \"change working directory\" to a specific working place\n    case Rambo.run(binary_path, args, opts) do\n      {:ok, %Rambo{out: res}} -> {:ok, res}\n      {:error, %Rambo{err: err_msg}} -> {:error, err_msg}\n      {:error, _} = r -> r\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/analyze_irve_job.ex",
    "content": "defmodule Transport.Jobs.AnalyzeIRVEJob do\n  @moduledoc \"\"\"\n  An Oban wrapper for the IRVE mass-scan & analyze job.\n\n  This wrapper ensures only a single instance can be enqueued and executed at once.\n\n  Data Gouv is queried for all static IRVE resources, then each resource is fetched via HTTP to estimate the\n  number of charging points, and a report is saved into the database.\n\n  Progress is broadcasted to the \"outside world\" (other parts of the app) via gossip using a specific `:type` marker.\n  \"\"\"\n\n  use Oban.Worker, max_attempts: 1, unique: [period: 3600, states: [:available, :scheduled, :executing]]\n  require Logger\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{id: job_id}) do\n    start_async_work()\n    wait_for_work_completion(job_id)\n\n    :ok\n  end\n\n  def start_async_work do\n    job_pid = self()\n\n    # NOTE: a call to `Task.async` normally requires a `Task.await` to ensure we monitor completion.\n    # In the current implementation though, we use (see `wait_for_work_completion`) which plays that role.\n    # See https://hexdocs.pm/oban/reporting-progress.html for inspiration.\n    Task.async(fn ->\n      try do\n        Logger.info(\"IRVE: starting global analyse...\")\n        send(job_pid, {:progress, 0})\n        resources = Transport.IRVE.Extractor.datagouv_resources() |> Enum.into([])\n\n        count = resources |> length()\n        Logger.info(\"IRVE: processing #{count} resources...\")\n        cb = fn index -> send(job_pid, {:progress, (100.0 * index / count) |> trunc()}) end\n        resources = Transport.IRVE.Extractor.download_and_parse_all(resources, cb)\n\n        Logger.info(\"IRVE: saving report...\")\n        Transport.IRVE.Extractor.insert_report!(resources)\n\n        send(job_pid, :complete)\n      rescue\n        error ->\n          Logger.error(\"IRVE:\" <> Exception.format(:error, error, __STACKTRACE__))\n          send(job_pid, :failed)\n      end\n    end)\n  end\n\n  def notify(job_id, status, progress \\\\ nil) do\n    Oban.Notifier.notify(Oban, :gossip, %{\n      \"type\" => \"analyze_irve\",\n      \"job_id\" => job_id,\n      \"status\" => status,\n      \"progress\" => progress\n    })\n  end\n\n  # recursive loop replacing `Task.await` (but we'd need to better handle errors here)\n  def wait_for_work_completion(job_id) do\n    receive do\n      {:progress, percent} ->\n        notify(job_id, :progress, percent)\n        wait_for_work_completion(job_id)\n\n      :complete ->\n        notify(job_id, :complete)\n\n      :failed ->\n        notify(job_id, :failed)\n    after\n      30_000 ->\n        notify(job_id, :failed)\n        raise RuntimeError, \"look's like we're a bit stuck!\"\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/archive_metrics_job.ex",
    "content": "defmodule Transport.Jobs.ArchiveMetricsJob do\n  @moduledoc \"\"\"\n  This job is in charge of archiving `DB.Metrics` after a given period.\n\n  For rows older than `@days_before_archiving` days, we keep a single row\n  per day, target and event.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n\n  @days_before_archiving 90\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args}) when is_nil(args) or args == %{} do\n    days_to_archive()\n    |> Enum.with_index()\n    |> Enum.map(fn {date, index} ->\n      %{date: date} |> new(schedule_in: index * 60)\n    end)\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"date\" => date}}) do\n    date = Date.from_iso8601!(date)\n\n    if Date.compare(date, Date.utc_today() |> Date.add(-@days_before_archiving)) == :gt do\n      {:cancel, \"Cannot archive rows if they are not older than #{@days_before_archiving} days\"}\n    else\n      {date_start, date_end} = {to_midnight_datetime(date), date |> Date.add(1) |> to_midnight_datetime()}\n\n      metrics =\n        DB.Metrics\n        |> where([m], m.period >= ^date_start and m.period < ^date_end)\n        |> group_by([m], [m.target, m.event, fragment(\"date\")])\n        |> select([m], %{\n          target: m.target,\n          event: m.event,\n          date: fragment(\"date(?) as date\", m.period),\n          total: sum(m.count)\n        })\n        |> DB.Repo.all()\n\n      map_record = fn record ->\n        now = DateTime.utc_now()\n\n        %{\n          target: record.target,\n          event: record.event,\n          period: to_midnight_datetime(record.date),\n          count: record.total,\n          inserted_at: now,\n          updated_at: now\n        }\n      end\n\n      DB.Repo.transaction(fn ->\n        DB.Metrics\n        |> where([m], m.period >= ^date_start and m.period < ^date_end)\n        |> DB.Repo.delete_all()\n\n        records = Enum.map(metrics, map_record)\n\n        DB.Repo.insert_all(DB.Metrics, records)\n      end)\n\n      :ok\n    end\n  end\n\n  @doc \"\"\"\n  iex> to_midnight_datetime(~D[2022-12-29])\n  ~U[2022-12-29 00:00:00Z]\n  \"\"\"\n  def to_midnight_datetime(%Date{} = date) do\n    DateTime.new!(date, ~T[00:00:00], \"Etc/UTC\")\n  end\n\n  def days_to_archive do\n    limit_date = DateTime.utc_now() |> DateTime.add(-@days_before_archiving, :day)\n\n    dates_query =\n      DB.Metrics\n      |> select([m], %{date: fragment(\"date(?)\", m.period), event: m.event, target: m.target})\n      |> where([m], m.period <= ^limit_date)\n      |> group_by([m], [fragment(\"date\"), m.event, m.target])\n      |> having([m], count(m.id) > 1)\n\n    base = from(d in subquery(dates_query))\n\n    base |> select([d], d.date) |> order_by([d], d.date) |> distinct(true) |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/backfill/backfill_metadata_non_gtfs_resource_history.ex",
    "content": "defmodule Transport.Jobs.Backfill.ResourceHistoryMetadataNonGTFS do\n  @moduledoc \"\"\"\n  Backfill of ResourceHistory payload to fix metadata for\n  non-GTFS resources with metadata specific to GTFS.\n\n  See also `ResourceMetadataNonGTFS`.\n\n  See https://github.com/etalab/transport-site/issues/2258\n  \"\"\"\n  use Oban.Worker\n  import Ecto.Query\n  alias DB.{Repo, ResourceHistory}\n\n  @backfill_delay 1\n\n  @impl true\n  def perform(%{args: %{\"resource_history_id\" => resource_history_id, \"backfill\" => true}}) do\n    with :ok <- perform(%{args: %{\"resource_history_id\" => resource_history_id}}) do\n      case fetch_next(resource_history_id) do\n        next_id when is_integer(next_id) ->\n          %{resource_history_id: next_id, backfill: true} |> new(schedule_in: @backfill_delay) |> Oban.insert()\n\n        nil ->\n          :ok\n      end\n    end\n  end\n\n  def perform(%{args: %{\"resource_history_id\" => resource_history_id}}) do\n    update_resource_history(resource_history_id)\n    :ok\n  end\n\n  def fetch_next(resource_history_id) do\n    ResourceHistory\n    |> where([rh], rh.id > ^resource_history_id)\n    |> where([rh], fragment(\"payload ->>'format' != 'GTFS' and payload->'resource_metadata' \\\\? 'modes'\"))\n    |> order_by(asc: :id)\n    |> limit(1)\n    |> select([rh], rh.id)\n    |> Repo.one()\n  end\n\n  def update_resource_history(resource_history_id) do\n    ResourceHistory |> Repo.get!(resource_history_id) |> do_update()\n  end\n\n  def do_update(%ResourceHistory{payload: %{\"format\" => format, \"resource_metadata\" => %{\"modes\" => _}} = payload} = rh)\n      when format != \"GTFS\" do\n    rh\n    |> Ecto.Changeset.change(%{payload: payload |> Map.put(\"resource_metadata\", nil)})\n    |> Repo.update!()\n  end\n\n  def do_update(%ResourceHistory{} = rh), do: rh\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/backfill/backfill_resource_history_filesize.ex",
    "content": "defmodule Transport.Jobs.Backfill.ResourceHistoryFileSize do\n  @moduledoc \"\"\"\n  Backfill of ResourceHistory payload to fill filesize information for all rows.\n  \"\"\"\n  use Oban.Worker\n  import Ecto.Query\n\n  @backfill_delay 1\n\n  @impl true\n  def perform(%{args: %{\"resource_history_id\" => resource_history_id, \"backfill\" => true}}) do\n    with :ok <- perform(%{args: %{\"resource_history_id\" => resource_history_id}}) do\n      case fetch_next(resource_history_id) do\n        next_id when is_integer(next_id) ->\n          %{resource_history_id: next_id, backfill: true} |> new(schedule_in: @backfill_delay) |> Oban.insert()\n\n        nil ->\n          :ok\n      end\n    end\n  end\n\n  def perform(%{args: %{\"resource_history_id\" => resource_history_id}}) do\n    update_resource_filesize(resource_history_id)\n    :ok\n  end\n\n  def fetch_next(resource_history_id) do\n    DB.ResourceHistory\n    |> where([rh], rh.id > ^resource_history_id)\n    |> order_by(asc: :id)\n    |> limit(1)\n    |> select([rh], rh.id)\n    |> DB.Repo.one()\n  end\n\n  def update_resource_filesize(resource_history_id) do\n    DB.ResourceHistory\n    |> DB.Repo.get!(resource_history_id)\n    |> do_update()\n  end\n\n  # update the zip resources history\n  def do_update(%{payload: %{\"total_compressed_size\" => total_compressed_size} = payload} = rh) do\n    payload = payload |> Map.put(\"filesize\", total_compressed_size)\n\n    rh\n    |> Ecto.Changeset.change(%{payload: payload})\n    |> DB.Repo.update!()\n  end\n\n  # update the others\n  def do_update(%{payload: %{\"permanent_url\" => url} = payload} = rh) do\n    # Clever Cloud provides the file size in the http response headers <3\n    http_client = Transport.Shared.Wrapper.HTTPoison.impl()\n\n    {:ok, %{headers: headers}} = http_client.head(url)\n    {_, filesize} = headers |> Enum.find(fn {h, _} -> h == \"content-length\" end)\n\n    payload = payload |> Map.put(\"filesize\", filesize |> String.to_integer())\n\n    rh\n    |> Ecto.Changeset.change(%{payload: payload})\n    |> DB.Repo.update!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/backfill/backfill_resource_history_resource_id.ex",
    "content": "defmodule Transport.Jobs.Backfill.ResourceHistoryResourceId do\n  @moduledoc \"\"\"\n  Backfill of `resource_history` rows to fill the `resource_id` column\n  \"\"\"\n  use Oban.Worker\n\n  @impl true\n  def perform(%{}) do\n    # Fill resource_id when datagouv_id exists and is not ambiguous.\n    execute(\"\"\"\n      update resource_history set resource_id = t.id\n      from (\n        select datagouv_id, id\n        from resource\n        where datagouv_id in (\n          select datagouv_id\n          from resource\n          group by 1\n          having count(1) = 1\n        )\n      ) t where t.datagouv_id = resource_history.datagouv_id and resource_id is null;\n    \"\"\")\n\n    # Fill resource_id when URL matches, within the same dataset, only when resource_id is not already set.\n    execute(\"\"\"\n      update resource_history set resource_id = t.id\n      from (\n        select dataset_id, url, id\n        from resource\n      ) t where t.url = resource_history.payload->'resource_metadata'->>'url' and t.dataset_id = (resource_history.payload->>'dataset_id')::bigint and resource_id is null;\n    \"\"\")\n\n    # Fill resource_id when title matches, within the same dataset, only when resource_id is not already set.\n    execute(\"\"\"\n      update resource_history set resource_id = t.id\n      from (\n        select dataset_id, title, id\n        from resource\n      ) t where t.title = resource_history.payload->>'title' and t.dataset_id = (resource_history.payload->>'dataset_id')::bigint and resource_id is null;\n    \"\"\")\n\n    :ok\n  end\n\n  defp execute(query), do: query |> DB.Repo.query!()\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/backfill/backfill_resource_history_schema_details.ex",
    "content": "defmodule Transport.Jobs.Backfill.ResourceHistorySchemaDetails do\n  @moduledoc \"\"\"\n  Backfill of `schema_name` and `schema_version` for `DB.ResourceHistory` where\n  it was not saved as this was introduced on 2022-05-11, see https://github.com/etalab/transport-site/pull/2386.\n  \"\"\"\n  use Oban.Worker\n\n  @impl true\n  def perform(%{}) do\n    execute(\"\"\"\n      update resource_history set payload = t.new_payload\n      from (\n        select\n          r.id,\n          r.schema_name,\n          r.schema_version,\n          rh.id resource_history_id,\n          r.dataset_id,\n          rh.payload,\n          rh.payload || jsonb_build_object('schema_name', r.schema_name, 'schema_version', r.schema_version) new_payload,\n          rh.inserted_at\n        from resource r\n        join resource_history rh on rh.resource_id = r.id and not rh.payload ? 'schema_name'\n        where not schema_name is null\n        group by r.id, rh.id\n      ) t where t.resource_history_id = resource_history.id;\n    \"\"\")\n\n    :ok\n  end\n\n  defp execute(query), do: query |> DB.Repo.query!()\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/backfill/remove_gtfs_rt_snapshots.ex",
    "content": "defmodule Transport.Jobs.Backfill.RemoveGTFSRTSnapshots do\n  @moduledoc \"\"\"\n  Delete GTFS-RT files that have been stored in the object storage with the v1 validation.\n  \"\"\"\n  use Oban.Worker\n  alias Transport.Validators.GTFSRT\n  import Ecto.Query\n  @bucket_feature :history\n\n  @impl true\n  def perform(%{}) do\n    relevant_file_keys()\n    |> Enum.each(&Transport.S3.delete_object!(@bucket_feature, &1))\n  end\n\n  def count_relevant_files do\n    relevant_file_keys() |> Enum.count()\n  end\n\n  def relevant_file_keys do\n    @bucket_feature\n    |> Transport.S3.bucket_name()\n    |> ExAws.S3.list_objects()\n    |> Transport.Wrapper.ExAWS.impl().stream!()\n    # Sample file key:\n    # 0fbf9dc8-d2db-405d-ade4-fdd04a6f8272/0fbf9dc8-d2db-405d-ade4-fdd04a6f8272.20220530.122958.288342.bin\n    # See https://github.com/etalab/transport-site/blob/3c870a42d0e6212f181cc69818755b5871f7f62c/apps/transport/lib/jobs/gtfs_rt_validation_job.ex#L207-L211\n    |> Stream.filter(&String.match?(&1.key, ~r/\\.2022(\\d){4}\\.(\\d){6}\\.(\\d){6}\\.bin$/))\n    |> Stream.map(& &1.key)\n    |> MapSet.new()\n    |> MapSet.difference(multi_validation_gtfs_rt_filenames())\n  end\n\n  def multi_validation_gtfs_rt_filenames do\n    validator_name = GTFSRT.validator_name()\n\n    DB.MultiValidation.base_query()\n    |> where([mv], mv.validator == ^validator_name and is_nil(mv.oban_args))\n    |> select(fragment(\"result->'files'->'gtfs_rt_filename'\"))\n    |> DB.Repo.all()\n    |> MapSet.new()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/clean_multi_validation_job.ex",
    "content": "defmodule Transport.Jobs.CleanMultiValidationJob do\n  @moduledoc \"\"\"\n  This job is in charge of archiving `DB.MultiValidation` records.\n\n  - For static resources, we keep the 3 most recent records per resource ID.\n  - For real-time resources, we archive rows older than 30 days.\n\n  Archived records have their `result` and `data_vis` fields set to `null`.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n\n  @max_records 1_000\n  @next_job_dispatch {5, :second}\n  # For static resources\n  @records_to_keep_per_resource 3\n  # For real-time resources\n  @days_to_keep_realtime_rows 30\n\n  # Dispatch jobs for both cases\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args}) when args == %{} do\n    new(%{\"static\" => true}) |> Oban.insert!()\n    new(%{\"real_time\" => true}) |> Oban.insert!()\n    :ok\n  end\n\n  # Logic for static resources\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"static\" => true} = job_args}) do\n    max_records = max_records()\n\n    inner_query =\n      from(mv in DB.MultiValidation,\n        join: rh in DB.ResourceHistory,\n        on: rh.id == mv.resource_history_id,\n        where: not is_nil(mv.result) and is_nil(mv.resource_id),\n        select: %{\n          id: mv.id,\n          row_number: row_number() |> over(partition_by: rh.resource_id, order_by: {:desc, mv.inserted_at})\n        }\n      )\n\n    ids =\n      from(q in subquery(inner_query),\n        where: q.row_number >= @records_to_keep_per_resource,\n        select: q.id,\n        order_by: {:asc, q.id},\n        limit: ^max_records\n      )\n      |> DB.Repo.all()\n\n    archive_records(ids)\n\n    # We handled `max_records`. We've got more rows to handle, schedule another job\n    if Enum.count(ids) == max_records do\n      new(job_args, schedule_in: @next_job_dispatch) |> Oban.insert!()\n    end\n\n    :ok\n  end\n\n  # Logic for real-time resources\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"real_time\" => true} = job_args}) do\n    max_records = max_records()\n\n    ids =\n      from(mv in DB.MultiValidation,\n        join: mv2 in DB.MultiValidation,\n        on:\n          mv2.resource_id == mv.resource_id and\n            mv2.inserted_at <= datetime_add(mv.inserted_at, -@days_to_keep_realtime_rows, \"day\"),\n        where: not is_nil(mv2.result) or not is_nil(mv2.binary_result),\n        where: not is_nil(mv2.resource_id),\n        order_by: {:asc, mv2.id},\n        select: mv2.id,\n        distinct: true,\n        limit: ^max_records\n      )\n      |> DB.Repo.all()\n\n    archive_records(ids)\n\n    # We handled `max_records`. We've got more rows to handle, schedule another job\n    if Enum.count(ids) == max_records do\n      new(job_args, schedule_in: @next_job_dispatch) |> Oban.insert!()\n    end\n\n    :ok\n  end\n\n  def max_records, do: Application.get_env(:transport, :clean_multi_validation_max_records, @max_records)\n\n  defp archive_records(ids) do\n    DB.MultiValidation.base_query()\n    |> where([mv], mv.id in ^ids)\n    |> update([mv], set: [binary_result: nil, result: nil, data_vis: nil])\n    |> DB.Repo.update_all([])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/clean_on_demand_validation_job.ex",
    "content": "defmodule Transport.Jobs.CleanOnDemandValidationJob do\n  @moduledoc \"\"\"\n  This job is in charge of archiving on-demand-related `DB.MultiValidation` records after a given period.\n\n  For on-demand rows older than `@days_before_archiving` days, we remove the validation\n  result and its visualization.\n  \"\"\"\n  use Oban.Worker, unique: [period: :infinity], max_attempts: 3\n  import Ecto.Query\n\n  @days_before_archiving 30\n\n  def retention_days, do: @days_before_archiving\n\n  # General case: enqueue days to archive\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args}) when is_nil(args) or args == %{} do\n    days_to_archive()\n    |> Enum.with_index()\n    |> Enum.map(fn {date, index} -> %{date: date} |> new(schedule_in: index * 60) end)\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  # Archive rows for a specific day\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"date\" => date}}) do\n    date = Date.from_iso8601!(date)\n\n    if Date.compare(date, Date.utc_today() |> Date.add(-@days_before_archiving)) == :gt do\n      {:cancel, \"Cannot archive rows if they are not older than #{@days_before_archiving} days\"}\n    else\n      multi_validation_in_scope()\n      |> where([mv], fragment(\"?::date = ?\", mv.inserted_at, ^date))\n      |> update([mv], set: [result: nil, binary_result: nil, data_vis: nil])\n      |> DB.Repo.update_all([])\n\n      :ok\n    end\n  end\n\n  def days_to_archive do\n    limit_date = DateTime.utc_now() |> DateTime.add(-@days_before_archiving, :day)\n\n    multi_validation_in_scope()\n    |> where([mv], mv.inserted_at <= ^limit_date)\n    |> select([mv], fragment(\"?::date\", mv.inserted_at))\n    |> distinct(true)\n    |> DB.Repo.all()\n    |> Enum.sort(Date)\n  end\n\n  defp multi_validation_in_scope do\n    DB.MultiValidation.base_query()\n    # is an on-demand validation\n    |> where([mv], not is_nil(mv.oban_args) and is_nil(mv.resource_id) and is_nil(mv.resource_history_id))\n    # has not been cleaned yet\n    |> where([mv], not is_nil(mv.result))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/consolidate_bnlc_job.ex",
    "content": "defmodule Transport.Jobs.ConsolidateBNLCJob do\n  @moduledoc \"\"\"\n  Consolidates a carpooling places database with multiple\n  valid `etalab/schema-lieux-covoiturage` resources published\n  on data.gouv.fr.\n\n  We use resources:\n  - listed in a CSV files we maintain on GitHub\n  - a single CSV file created when using https://contribuer.transport.data.gouv.fr\n\n  This job has multiple actions:\n  - action not set: consolidate resources, build a report, send it to us by e-mail\n  - action=delete_s3_file: deletes the temporary consolidated database we created\n    and uploaded on S3 when sending the report to our team\n  - action=datagouv_update: consolidate the database and replaces the file on\n    data.gouv.fr\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  require Logger\n  alias Transport.Validators.TableSchema.Wrapper, as: TableSchemaValidator\n\n  @schema_name \"etalab/schema-lieux-covoiturage\"\n  @separator_key \"csv_separator\"\n  @encoding_key \"encoding\"\n  @download_path_key \"tmp_download_path\"\n  # You may need to change this URL if you're working locally on the code.\n  # Maybe upload your own CSV to https://gist.github.com or return hardcoded\n  # slugs from `datagouv_dataset_slugs`\n  @datasets_list_csv_url \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/datasets.csv\"\n  @bnlc_github_url \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/bnlc-.csv\"\n  @bnlc_path System.tmp_dir!() |> Path.join(\"bnlc.csv\")\n  # The S3 bucket to use to upload the consolidated file, sent to our team for review.\n  # We use the `:on_demand_validation` one because this is a bucket holding temporary\n  # files.\n  # If at some point we see that we need a bucket to hold consolidated files temporarily\n  # we can create a specific one.\n  @s3_bucket :on_demand_validation\n\n  # Custom types\n  @type decode_error :: {:decode, {map(), map()}}\n  @type download_error :: {:download, {map(), map()}}\n  @type consolidation_errors :: %{\n          dataset_errors: list(),\n          validation_errors: list(),\n          download_errors: [download_error()],\n          decode_errors: [decode_error()]\n        }\n  @type dataset_without_appropriate_resource_error :: %{\n          error: :not_at_least_one_appropriate_resource,\n          dataset_details: map()\n        }\n  @type dataset_not_found_error :: %{error: :dataset_not_found, dataset_slug: binary()}\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"action\" => \"delete_s3_file\", \"filename\" => filename}}) do\n    if filename |> String.starts_with?(\"bnlc\") do\n      Transport.S3.delete_object!(@s3_bucket, filename)\n      Logger.info(\"Deleted #{filename} on S3\")\n      :ok\n    else\n      {:discard, \"Cannot delete file, unexpected filename: #{inspect(filename)}\"}\n    end\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{id: job_id, args: %{\"action\" => \"datagouv_update\"}}) do\n    return_value = consolidate()\n\n    if return_value == :ok do\n      replace_file_on_datagouv()\n    end\n\n    Oban.Notifier.notify(Oban, :gossip, %{complete: job_id})\n    return_value\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{id: job_id}) do\n    return_value = consolidate()\n    Oban.Notifier.notify(Oban, :gossip, %{complete: job_id})\n    return_value\n  end\n\n  @spec consolidate() :: :ok | {:discard, binary()}\n  def consolidate do\n    Logger.info(\"Starting consolidation…\")\n    Logger.info(\"Extracting configured datasets & retrieving data from data.gouv…\")\n    %{ok: datasets_details, errors: dataset_errors} = datagouv_dataset_slugs() |> extract_dataset_details()\n\n    Logger.info(\"Finding valid resources…\")\n    %{ok: resources_details, errors: validation_errors} = valid_datagouv_resources(datasets_details)\n\n    if validator_unavailable?(validation_errors) do\n      {:discard, \"Cannot consolidate the BNLC because the TableSchema validator is not available\"}\n    else\n      Logger.info(\"Downloading resources…\")\n      %{ok: download_details, errors: download_or_decode_errors} = download_resources(resources_details)\n      Logger.info(\"Creating a single file\")\n      consolidate_resources(download_details)\n\n      Logger.info(\"Sending the email recap\")\n\n      upload_temporary_file()\n      |> schedule_deletion()\n      |> send_email_recap(%{\n        dataset_errors: dataset_errors,\n        validation_errors: validation_errors,\n        download_errors: Enum.filter(download_or_decode_errors, &match?({:download, _}, &1)),\n        decode_errors: Enum.filter(download_or_decode_errors, &match?({:decode, _}, &1))\n      })\n\n      :ok\n    end\n  end\n\n  def replace_file_on_datagouv do\n    %{dataset_id: dataset_id, resource_id: resource_id} = consolidation_configuration()\n\n    Datagouvfr.Client.Resources.update(%{\n      \"dataset_id\" => dataset_id,\n      \"resource_id\" => resource_id,\n      \"resource_file\" => %{path: @bnlc_path, filename: \"bnlc.csv\"}\n    })\n\n    Logger.info(\"Updated file on data.gouv.fr\")\n    File.rm!(@bnlc_path)\n  end\n\n  defp validator_unavailable?(validation_errors) do\n    validation_errors\n    |> Enum.filter(&match?({:validator_unavailable_error, _, _}, &1))\n    |> Enum.any?()\n  end\n\n  defp upload_temporary_file do\n    now = DateTime.utc_now() |> DateTime.truncate(:microsecond) |> DateTime.to_string() |> String.replace(\" \", \"_\")\n    filename = \"bnlc-#{now}.csv\"\n    Transport.S3.stream_to_s3!(@s3_bucket, @bnlc_path, filename, acl: :public_read)\n    filename\n  end\n\n  defp schedule_deletion(filename) do\n    # Delete temporary file in 4 weeks from S3\n    %{action: \"delete_s3_file\", filename: filename}\n    |> new(schedule_in: {4, :weeks})\n    |> Oban.insert!()\n\n    filename\n  end\n\n  @spec send_email_recap(binary(), consolidation_errors()) :: {:ok, any()} | {:error, any()}\n  def send_email_recap(filename, %{} = errors) do\n    {consolidation_status, body} =\n      case format_errors(errors) do\n        nil -> {:ok, \"✅ La consolidation s'est déroulée sans erreurs\"}\n        txt when is_binary(txt) -> {:error, txt}\n      end\n\n    subject =\n      case consolidation_status do\n        :ok -> \"[OK] Rapport de consolidation de la BNLC\"\n        :error -> \"[ERREUR] Rapport de consolidation de la BNLC\"\n      end\n\n    file_url = Transport.S3.permanent_url(@s3_bucket, filename)\n\n    Transport.AdminNotifier.bnlc_consolidation_report(subject, body, file_url)\n    |> Transport.Mailer.deliver()\n  end\n\n  @spec format_errors(consolidation_errors()) :: binary() | nil\n  def format_errors(%{dataset_errors: _, validation_errors: _, download_errors: _, decode_errors: _} = errors) do\n    [&format_dataset_errors/1, &format_validation_errors/1, &format_download_errors/1, &format_decode_errors/1]\n    |> Enum.map_join(\"\\n\\n\", fn fmt_fn -> fmt_fn.(errors) end)\n    |> String.trim()\n    |> case do\n      \"\" -> nil\n      txt when is_binary(txt) -> txt\n    end\n  end\n\n  @spec format_dataset_errors(%{\n          dataset_errors: [dataset_without_appropriate_resource_error() | dataset_not_found_error()]\n        }) :: binary()\n  def format_dataset_errors(%{dataset_errors: []}), do: \"\"\n\n  def format_dataset_errors(%{dataset_errors: dataset_errors}) do\n    format = fn el ->\n      case el do\n        %{error: :dataset_not_found, dataset_slug: slug} when is_binary(slug) ->\n          \"Le slug du jeu de données `#{slug}` est introuvable via l'API\"\n\n        %{error: :not_at_least_one_appropriate_resource, dataset_details: %{\"page\" => _, \"title\" => _} = dataset} ->\n          \"Pas de ressources avec le schéma #{@schema_name} pour #{link_to_dataset(dataset)}\"\n      end\n    end\n\n    \"\"\"\n    <h2>Erreurs liées aux jeux de données</h2>\n    #{Enum.map_join(dataset_errors, \"<br/>\", fn el -> format.(el) end)}\n    \"\"\"\n  end\n\n  def format_validation_errors(%{validation_errors: []}), do: \"\"\n\n  def format_validation_errors(%{validation_errors: validation_errors}) do\n    \"\"\"\n    <h2>Ressources non valides par rapport au schéma #{@schema_name}</h2>\n    #{Enum.map_join(validation_errors, \"<br/>\", &link_to_resource/1)}\n    \"\"\"\n  end\n\n  @spec format_download_errors(%{download_errors: [download_error()]}) :: binary()\n  def format_download_errors(%{download_errors: []}), do: \"\"\n\n  def format_download_errors(%{download_errors: download_errors}) do\n    errors =\n      Enum.map(download_errors, fn {:download, {dataset, resource}} ->\n        {dataset, resource}\n      end)\n\n    \"\"\"\n    <h2>Impossible de télécharger les ressources suivantes</h2>\n    #{Enum.map_join(errors, \"<br/>\", &link_to_resource/1)}\n    \"\"\"\n  end\n\n  @spec format_decode_errors(%{decode_errors: [decode_error()]}) :: binary()\n  def format_decode_errors(%{decode_errors: []}), do: \"\"\n\n  def format_decode_errors(%{decode_errors: decode_errors}) do\n    errors =\n      Enum.map(decode_errors, fn {:decode, {dataset, resource}} ->\n        {dataset, resource}\n      end)\n\n    \"\"\"\n    <h2>Impossible de décoder les fichiers CSV suivants</h2>\n    #{Enum.map_join(errors, \"<br/>\", &link_to_resource/1)}\n    \"\"\"\n  end\n\n  @doc \"\"\"\n  iex> link_to_dataset(%{\"page\" => \"https://example.com\", \"title\" => \"Title\"})\n  ~s(<a href=\"https://example.com\">Title</a>)\n  \"\"\"\n  def link_to_dataset(%{\"page\" => page_url, \"title\" => title}) do\n    title\n    |> Phoenix.HTML.Link.link(to: page_url)\n    |> Phoenix.HTML.safe_to_string()\n  end\n\n  @doc \"\"\"\n  iex> dataset = %{\"page\" => \"https://example.com\", \"title\" => \"Title\"}\n  iex> resource = %{\"schema\" => %{\"name\" => \"etalab/schema-lieux-covoiturage\"}, \"title\" => \"Foo\"}\n  iex> link_to_resource({dataset, resource})\n  ~s{Ressource `Foo` (<a href=\"https://example.com\">Title</a>)}\n  iex> link_to_resource({:error, dataset, resource})\n  ~s{Ressource `Foo` (<a href=\"https://example.com\">Title</a>)}\n  \"\"\"\n  def link_to_resource({:error, dataset_details, resource}), do: link_to_resource({dataset_details, resource})\n\n  def link_to_resource({dataset_details, %{\"title\" => title, \"schema\" => %{\"name\" => schema_name}}})\n      when schema_name == @schema_name do\n    \"Ressource `#{title}` (#{link_to_dataset(dataset_details)})\"\n  end\n\n  @spec bnlc_csv_headers() :: [binary()]\n  def bnlc_csv_headers do\n    %HTTPoison.Response{body: body, status_code: 200} = @bnlc_github_url |> http_client().get!()\n\n    [body]\n    |> CSV.decode!(field_transform: &String.trim/1)\n    |> Stream.take(1)\n    |> Enum.to_list()\n    |> hd()\n  end\n\n  @doc \"\"\"\n  The CSV columns we will have in the final file.\n  We:\n  - add a `id_lieu` column at the beginning\n  - remove `id_lieu` if it was present in the BNLC file hosted on GitHub\n  - add `dataset_id` and `resource_id` to know for each line the associated resource/dataset\n    on data.gouv.fr\n  iex> final_csv_headers([\"foo\", \"bar\", \"id_lieu\"])\n  [\"id_lieu\", \"foo\", \"bar\", \"dataset_id\", \"resource_id\"]\n  \"\"\"\n  def final_csv_headers(bnlc_headers) do\n    # In the 0.2.8 schema version the `id_lieu` column was present.\n    # https://schema.data.gouv.fr/etalab/schema-lieux-covoiturage/0.2.8/documentation.html\n    # Starting with 0.3.0 `id_lieu` should not be present in the files\n    # we consolidate as we add it ourselves with `add_columns/2`\n    [\"id_lieu\"] ++ Enum.reject(bnlc_headers, &(&1 == \"id_lieu\")) ++ [\"dataset_id\", \"resource_id\"]\n  end\n\n  @doc \"\"\"\n  Given a list of resources, previously prepared by `download_resources/1`,\n  creates the BNLC final file and write on the local disk at `@bnlc_path`.\n\n  It downloads the BNLC from GitHub and reads other files from the disk.\n  \"\"\"\n  def consolidate_resources(resources_details) do\n    file = File.open!(@bnlc_path, [:write, :utf8])\n    bnlc_headers = bnlc_csv_headers()\n    final_headers = final_csv_headers(bnlc_headers)\n\n    %HTTPoison.Response{body: body, status_code: 200} = @bnlc_github_url |> http_client().get!()\n\n    # Write first the header + content of the BNLC hosted on GitHub\n    [body]\n    |> CSV.decode!(field_transform: &String.trim/1, headers: bnlc_headers)\n    |> Stream.drop(1)\n    # Magic `dataset_id` and `resource_id` values for the BNLC file hosted\n    # on GitHub as this is the only file not hosted/referenced on GitHub.\n    |> add_columns(%{dataset: %{\"id\" => \"bnlc_github\"}, resource: %{\"id\" => \"bnlc_github\"}})\n    |> CSV.encode(headers: final_headers)\n    |> Enum.each(&IO.write(file, &1))\n\n    # Append other valid resources to the file\n    Enum.each(resources_details, fn {\n                                      dataset_details,\n                                      %{\n                                        @download_path_key => tmp_path,\n                                        @separator_key => separator,\n                                        @encoding_key => encoding\n                                      } = resource_details\n                                    } ->\n      tmp_path\n      |> File.stream!([:trim_bom, encoding: encoding])\n      |> CSV.decode!(headers: true, field_transform: &String.trim/1, separator: separator)\n      # Keep only columns that are present in the BNLC, ignore extra columns\n      |> Stream.filter(&Map.take(&1, bnlc_headers))\n      |> add_columns(%{dataset: dataset_details, resource: resource_details})\n      |> CSV.encode(headers: final_headers)\n      # Don't write the CSV header again each time, it has already been written\n      # because the BNLC is first in the file\n      |> Stream.drop(1)\n      |> Enum.each(&IO.write(file, &1))\n\n      File.rm!(tmp_path)\n    end)\n  end\n\n  @doc \"\"\"\n  The consolidation job is in charge of adding an extra column to the final file:\n  `id_lieu`.\n\n  Generate it by concatenating values found in each file: insee + id_local\n  \"\"\"\n  def add_columns(%Stream{} = stream, %{dataset: %{\"id\" => dataset_id}, resource: %{\"id\" => resource_id}}) do\n    Stream.map(stream, fn %{\"insee\" => insee, \"id_local\" => id_local} = map ->\n      Map.merge(map, %{\n        \"id_lieu\" => \"#{insee}-#{id_local}\",\n        \"dataset_id\" => dataset_id,\n        \"resource_id\" => resource_id\n      })\n    end)\n  end\n\n  @doc \"\"\"\n  Reads the CSV file maintained by our team on GitHub listing datagouv dataset URLs\n  we should include in the BNLC.\n  Keep only dataset slugs.\n  \"\"\"\n  @spec datagouv_dataset_slugs() :: [binary()]\n  def datagouv_dataset_slugs do\n    %HTTPoison.Response{body: body, status_code: 200} = @datasets_list_csv_url |> http_client().get!()\n\n    [body]\n    |> CSV.decode!(field_transform: &String.trim/1, headers: true)\n    |> Stream.map(fn %{\"dataset_url\" => url} ->\n      url\n      |> String.replace_prefix(Application.fetch_env!(:transport, :datagouvfr_site) <> \"/fr/datasets/\", \"\")\n      |> String.replace_suffix(\"/\", \"\")\n    end)\n    |> Enum.uniq()\n  end\n\n  @doc \"\"\"\n  Guesses a CSV separator (`,` or `;`) from a CSV body, using only its first line (the header).\n  \"\"\"\n  @spec guess_csv_separator(binary()) :: ?; | ?,\n  def guess_csv_separator(body) do\n    [?;, ?,]\n    |> Enum.into(%{}, fn separator ->\n      nb_columns_detected =\n        [body]\n        |> CSV.decode(headers: true, separator: separator)\n        |> Stream.take(1)\n        |> Enum.filter(&match?({:ok, _}, &1))\n        |> Enum.map(fn {:ok, map} -> map |> Map.keys() |> Enum.count() end)\n\n      {separator, nb_columns_detected}\n    end)\n    # Maximum number of columns detected is a good proxy to find the separator\n    |> Enum.max_by(fn {_, v} -> v end)\n    |> elem(0)\n  end\n\n  @doc \"\"\"\n  Guess the file encoding for a file stored on disk\n  \"\"\"\n  @spec guess_encoding(binary()) :: :utf8 | :latin1\n  def guess_encoding(path) do\n    Enum.find([:utf8, :latin1], fn encoding -> can_stream_for_encoding?(path, encoding) end)\n  end\n\n  @spec can_stream_for_encoding?(binary(), atom()) :: boolean()\n  def can_stream_for_encoding?(path, encoding) do\n    path |> File.stream!([:trim_bom, encoding: encoding]) |> Stream.take(5) |> Stream.run()\n    true\n  rescue\n    _ -> false\n  end\n\n  @doc \"\"\"\n  From a list of dataset slugs, call the data.gouv.fr's API and identify resources we are interested in.\n  At this point, we only keep resources with the \"covoiturage schema\" declared, we don't perform further checks.\n\n  Possible errors:\n  - the dataset has no resources with the schema we are interested in\n    `%{error: :not_at_least_one_appropriate_resource, dataset_details: map()}`\n  - the data.gouv.fr's API returns an error for this dataset slug\n    `%{error: :dataset_not_found, dataset_slug: binary()}`\n  \"\"\"\n  @spec extract_dataset_details([binary()]) :: %{\n          ok: [map()],\n          errors: [dataset_without_appropriate_resource_error() | dataset_not_found_error()]\n        }\n  def extract_dataset_details(slugs) do\n    slugs\n    |> Enum.map(&get_dataset_details/1)\n    |> normalize_ok_errors()\n  end\n\n  @spec get_dataset_details(binary()) ::\n          {:ok, map()} | {:errors, dataset_without_appropriate_resource_error() | dataset_not_found_error()}\n  defp get_dataset_details(slug) do\n    case Datagouvfr.Client.Datasets.get(slug) do\n      {:ok, %{\"resources\" => resources} = details} ->\n        if resources |> Enum.filter(&with_appropriate_schema?/1) |> Enum.any?() do\n          {:ok, details}\n        else\n          {:errors, %{error: :not_at_least_one_appropriate_resource, dataset_details: details}}\n        end\n\n      _ ->\n        {:errors, %{error: :dataset_not_found, dataset_slug: slug}}\n    end\n  end\n\n  @spec valid_datagouv_resources([map()]) :: %{\n          ok: [],\n          errors: [{:error, map(), map()} | {:validator_unavailable_error, map(), map()}]\n        }\n  @doc \"\"\"\n  Identifies valid resources according to the target schema.\n  For each resource, call the TableSchemaValidator to make sure the resource is valid.\n\n  Possible errors:\n  - the resource is not valid according to the schema ({`:error`, _, _})\n  - the validator is not available ({`:validator_unavailable_error`, _, _})\n  \"\"\"\n  def valid_datagouv_resources(datasets_details) do\n    analyze_resource = fn dataset_details, %{\"url\" => resource_url} = resource ->\n      case TableSchemaValidator.validate(@schema_name, resource_url) do\n        %{\"has_errors\" => true} -> {:errors, {:error, dataset_details, resource}}\n        %{\"has_errors\" => false} -> {:ok, {dataset_details, resource}}\n        nil -> {:errors, {:validator_unavailable_error, dataset_details, resource}}\n      end\n    end\n\n    analyze_dataset = fn %{\"resources\" => resources} = dataset_details ->\n      resources\n      |> Enum.filter(&with_appropriate_schema?/1)\n      |> Enum.reject(&xlsx?/1)\n      |> Enum.map(fn %{\"url\" => _} = resource -> analyze_resource.(dataset_details, resource) end)\n    end\n\n    datasets_details |> Enum.flat_map(&analyze_dataset.(&1)) |> normalize_ok_errors()\n  end\n\n  @doc \"\"\"\n  From a list of resource object coming from the data.gouv.fr's API, download these (valid)\n  CSV files locally, guess the CSV separator and try to decode the file.\n\n  The temporary download path and the guessed CSV separator are added to the resource's payload.\n\n  Possible errors:\n  - cannot download the resource\n  - cannot decode the CSV file\n  \"\"\"\n  @spec download_resources([map()]) :: %{ok: [], errors: [decode_error() | download_error()]}\n  def download_resources(resources_details) do\n    resources_details\n    |> Enum.map(fn {dataset_details, %{\"url\" => resource_url} = resource} ->\n      case http_client().get(resource_url, [], follow_redirect: true) do\n        {:ok, %HTTPoison.Response{status_code: 200} = response} ->\n          guess_csv_details_and_decode({dataset_details, resource}, response)\n\n        _ ->\n          {:errors, {:download, {dataset_details, resource}}}\n      end\n    end)\n    |> normalize_ok_errors()\n  end\n\n  @doc \"\"\"\n  For a remote resource we successfully downloaded, we try to:\n  - guess the CSV separator of the file (using the header line)\n  - guess the file encoding\n  - decode the CSV file with the guessed separator\n  \"\"\"\n  def guess_csv_details_and_decode({dataset_details, %{\"id\" => resource_id} = resource}, %HTTPoison.Response{\n        status_code: 200,\n        body: body\n      }) do\n    path = System.tmp_dir!() |> Path.join(\"consolidate_bnlc_#{resource_id}\")\n    File.write!(path, body)\n\n    resource =\n      Map.merge(resource, %{\n        @download_path_key => path,\n        @separator_key => guess_csv_separator(body),\n        @encoding_key => guess_encoding(path)\n      })\n\n    check_can_decode_csv(body, {dataset_details, resource})\n  end\n\n  defp check_can_decode_csv(\n         body,\n         {dataset_details, %{@separator_key => separator, @download_path_key => path} = resource}\n       ) do\n    errors = [body] |> CSV.decode(separator: separator) |> Enum.filter(&(elem(&1, 0) == :error))\n\n    if Enum.empty?(errors) do\n      {:ok, {dataset_details, resource}}\n    else\n      # Could not decode the CSV:\n      # - we delete the temporary file since we will not include it in the consolidation\n      # - we return an error\n      File.rm!(path)\n      {:errors, {:decode, {dataset_details, resource}}}\n    end\n  end\n\n  @doc \"\"\"\n  Make sure we always have `:ok` and `:errors` keys.\n\n  iex> normalize_ok_errors(%{})\n  %{ok: [], errors: []}\n  iex> normalize_ok_errors(%{ok: [1]})\n  %{ok: [1], errors: []}\n  iex> normalize_ok_errors(%{ok: [1], errors: [2]})\n  %{ok: [1], errors: [2]}\n  iex> normalize_ok_errors([{:ok, 1}, {:errors, 2}])\n  %{errors: [2], ok: [1]}\n  \"\"\"\n  def normalize_ok_errors(result) when is_list(result),\n    do: result |> Enum.group_by(&elem(&1, 0), &elem(&1, 1)) |> normalize_ok_errors()\n\n  def normalize_ok_errors(result) when is_map(result), do: Map.merge(%{ok: [], errors: []}, result)\n\n  @doc \"\"\"\n  iex> with_appropriate_schema?(%{\"schema\" => %{\"name\" => \"foo\"}})\n  false\n  iex> with_appropriate_schema?(%{\"schema\" => %{\"name\" => \"etalab/schema-lieux-covoiturage\"}})\n  true\n  iex> with_appropriate_schema?(%{\"description\" => \"Chapeaux ronds\"})\n  false\n  \"\"\"\n  @spec with_appropriate_schema?(map()) :: boolean()\n  def with_appropriate_schema?(%{\"schema\" => %{\"name\" => name}}) when name == @schema_name, do: true\n  def with_appropriate_schema?(%{}), do: false\n\n  @doc \"\"\"\n  iex> xlsx?(%{\"format\" => \"csv\"})\n  false\n  iex> xlsx?(%{\"format\" => \"xlsx\"})\n  true\n  iex> xlsx?(%{\"title\" => \"hello.xlsx\"})\n  true\n  \"\"\"\n  @spec xlsx?(map()) :: boolean()\n  def xlsx?(%{\"format\" => \"xlsx\"}), do: true\n  def xlsx?(%{\"title\" => title}), do: String.contains?(title |> String.downcase(), \"xlsx\")\n  def xlsx?(_), do: false\n\n  @doc \"\"\"\n  iex> dataset_slug_to_url(\"foo\")\n  \"https://www.data.gouv.fr/fr/datasets/foo/\"\n  \"\"\"\n  def dataset_slug_to_url(slug) do\n    \"https://www.data.gouv.fr/fr/datasets/#{slug}/\"\n  end\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\n\n  defp consolidation_configuration do\n    Map.fetch!(Application.fetch_env!(:transport, :consolidation), :bnlc)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/consolidate_lez_job.ex",
    "content": "defmodule Transport.Jobs.ConsolidateLEZsJob do\n  @moduledoc \"\"\"\n  Consolidates a low emission zones' national database\n  using valid `etalab/schema-zfe` resources published\n  on our platform.\n\n  Preferred way to run for now (until we have more safeguards!):\n  - in iex, run `consolidate()`, look at logs and inspect the files\n  - run the Oban job to consolidate and update files on data.gouv.fr\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  require Logger\n  import Ecto.Query\n  alias DB.{Dataset, MultiValidation, Repo, Resource, ResourceHistory}\n  alias Transport.CachedFiles\n\n  @schema_name \"etalab/schema-zfe\"\n  @lez_dataset_type \"road-data\"\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{id: job_id}) do\n    consolidate() |> update_files()\n    Oban.Notifier.notify(Oban, :gossip, %{complete: job_id})\n    :ok\n  end\n\n  def consolidate do\n    relevant_resources()\n    |> Enum.group_by(&type/1)\n    |> Enum.map(fn {type, resources} ->\n      details = resources |> Enum.map_join(\", \", &\"#{&1.dataset.custom_title} (#{&1.title})\")\n      Logger.info(\"Found #{Enum.count(resources)} resources for #{type}: #{details}\")\n      {type, consolidate_features(resources)}\n    end)\n  end\n\n  def update_files(consolidated_data) do\n    consolidated_data\n    |> Enum.each(fn {type, data} ->\n      filename = \"#{type}.geojson\"\n      filepath = tmp_filepath(filename)\n\n      try do\n        write_file(filepath, data |> Jason.encode!())\n\n        Datagouvfr.Client.Resources.update(%{\n          \"dataset_id\" => Map.fetch!(consolidation_configuration(), :dataset_id),\n          \"resource_id\" => resource_id_for_type(type),\n          \"resource_file\" => %{path: filepath, filename: filename}\n        })\n\n        Logger.info(\"Updated #{filename} on data.gouv.fr\")\n      after\n        File.rm(filepath)\n      end\n    end)\n  end\n\n  def write_file(filepath, content) do\n    Logger.info(\"Created #{filepath}\")\n    filepath |> File.write!(content)\n  end\n\n  def tmp_filepath(filename) when filename in [\"aires.geojson\", \"voies.geojson\"],\n    do: Path.join(System.tmp_dir!(), filename)\n\n  def type(%Resource{dataset: %Dataset{type: @lez_dataset_type}} = resource) do\n    if voie?(resource), do: \"voies\", else: \"aires\"\n  end\n\n  @doc \"\"\"\n  ZFE files can be of 2 types:\n  - `aires` is a perimeter\n  - `voies` describes roads where rules may be different than what's described in a perimeter. They act as a kind of override.\n\n  The [schema](https://schema.data.gouv.fr/etalab/schema-zfe/) advises to name files according to their type\n\n  > Nous préconisons aux producteurs de données de publier leurs fichiers concernant les zones avec la règle de nommage suivante : zfe_zone_nom.geojson avec nom étant le nom de la collectivité productrice des données, par exemple zfe_zone_grenoble.geojson. Pour les fichiers concernant les voies spéciales : zfe_voie_speciale_nom.geojson, avec nom étant le nom de la collectivité productrice des données, par exemple zfe_voie_speciale_grenoble.geojson.\n\n  Unfortunately this is not followed by everyone so we cannot be strict about it.\n\n  The current logic looks for the keyword `voie` in the URL/filename.\n  We could also inspect the GeoJSON payload and look for `MultiLineString`|`MultiLine`\n  \"\"\"\n  def voie?(%Resource{url: url, dataset: %Dataset{type: @lez_dataset_type}}) do\n    url |> String.downcase() |> String.contains?(\"voie\")\n  end\n\n  def relevant_resources do\n    own_publisher = pan_publisher()\n\n    Resource\n    |> join(:inner, [r], d in Dataset,\n      on:\n        r.dataset_id == d.id and d.type == @lez_dataset_type and\n          d.organization_id != ^own_publisher\n    )\n    |> where([r], r.schema_name == @schema_name)\n    |> preload(:dataset)\n    |> Repo.all()\n  end\n\n  def consolidate_features(resources) do\n    %{\n      type: \"FeatureCollection\",\n      features:\n        resources\n        |> Enum.map(fn %Resource{} = resource -> {resource, latest_valid_resource_history(resource)} end)\n        # Do not consolidate resources without a valid resource history\n        |> Enum.reject(fn {_, resource_history} -> is_nil(resource_history) end)\n        |> Enum.flat_map(&content_features/1)\n    }\n  end\n\n  defp content_features({%Resource{} = resource, %ResourceHistory{payload: %{\"permanent_url\" => url}}}) do\n    %HTTPoison.Response{status_code: 200, body: body} = http_client().get!(url, [], follow_redirect: true)\n\n    body\n    |> Jason.decode!()\n    |> Map.fetch!(\"features\")\n    |> Enum.map(&add_publisher(&1, publisher_details(resource)))\n  end\n\n  defp latest_valid_resource_history(%Resource{id: resource_id}) do\n    ResourceHistory\n    |> join(:inner, [rh], mv in MultiValidation,\n      on: mv.resource_history_id == rh.id and fragment(\"(result->>'has_errors')::bool = false\")\n    )\n    |> where([rh, _mv], rh.resource_id == ^resource_id)\n    |> order_by([rh, _mv], desc: :inserted_at)\n    |> limit(1)\n    |> select([rh, _mv], rh)\n    |> Repo.one()\n  end\n\n  defp add_publisher(features, publisher_details) do\n    Map.put(features, \"publisher\", publisher_details)\n  end\n\n  @doc \"\"\"\n  iex> publisher_details(%DB.Resource{dataset: %DB.Dataset{organization: \"Dijon metropole\"}})\n  %{\"forme_juridique\" => \"Métropole\", \"nom\" => \"Dijon Métropole\", \"siren\" => \"242100410\", \"zfe_id\" => \"DIJON\"}\n  \"\"\"\n  def publisher_details(%Resource{dataset: %Dataset{} = dataset}) do\n    aoms = dataset |> DB.Repo.preload(:legal_owners_aom) |> Map.fetch!(:legal_owners_aom)\n\n    if Enum.empty?(aoms) do\n      CachedFiles.zfe_ids()\n      |> Enum.find_value(\n        &if lower_unaccent(dataset.organization) == lower_unaccent(&1[\"epci_principal\"]),\n          do: %{\n            \"nom\" => &1[\"epci_principal\"],\n            \"siren\" => &1[\"siren\"],\n            \"forme_juridique\" => &1[\"forme_juridique\"],\n            \"zfe_id\" => zfe_id(&1[\"siren\"])\n          }\n      )\n    else\n      aom = aoms |> hd()\n\n      %{\n        \"nom\" => aom.nom,\n        \"siren\" => aom.siren,\n        \"forme_juridique\" => aom.forme_juridique,\n        \"zfe_id\" => zfe_id(aom.siren)\n      }\n    end\n  end\n\n  def zfe_id(siren) do\n    zfe_id =\n      CachedFiles.zfe_ids()\n      |> Enum.find_value(&if siren == &1[\"siren\"] or String.contains?(&1[\"autres_siren\"], siren), do: &1[\"code\"])\n\n    if is_nil(zfe_id) do\n      Logger.error(\"Could not find zfe_id for SIREN #{siren}\")\n    end\n\n    zfe_id\n  end\n\n  def pan_publisher do\n    Application.fetch_env!(:transport, :datagouvfr_transport_publisher_id)\n  end\n\n  def resource_id_for_type(type) do\n    consolidation_configuration() |> Map.fetch!(:resource_ids) |> Map.fetch!(type)\n  end\n\n  def consolidation_configuration do\n    Map.fetch!(Application.fetch_env!(:transport, :consolidation), :zfe)\n  end\n\n  @doc \"\"\"\n  Replaces accented letters by their regular versions and lowercase.\n\n  iex> lower_unaccent(\"Et Ça sera sa moitié.\")\n  \"et ca sera sa moitie.\"\n  \"\"\"\n  def lower_unaccent(value) when is_binary(value) do\n    value |> String.downcase() |> unaccent()\n  end\n\n  @doc \"\"\"\n  Replaces accented letters by their regular versions.\n  Taken from https://stackoverflow.com/a/68724296\n\n  iex> unaccent(\"Et Ça sera sa moitié.\")\n  \"Et Ca sera sa moitie.\"\n  \"\"\"\n  @spec unaccent(binary()) :: binary()\n  def unaccent(value) when is_binary(value) do\n    ~r/\\p{Mn}/u\n    |> Regex.replace(value |> :unicode.characters_to_nfd_binary(), \"\")\n    |> :unicode.characters_to_nfc_binary()\n  end\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/conversions/clean_orphan_conversions_job.ex",
    "content": "defmodule Transport.Jobs.CleanOrphanConversionsJob do\n  @moduledoc \"\"\"\n  Job in charge of cleaning `DB.DataConversion` rows where\n  the underlying `DB.ResourceHistory` does not exist anymore.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n  alias DB.{DataConversion, Repo}\n\n  @max_objects 500\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    objects =\n      DataConversion\n      |> where([_d], fragment(\"resource_history_uuid not in (select (payload->>'uuid')::uuid from resource_history)\"))\n      |> limit(@max_objects)\n      |> Repo.all()\n\n    ids = objects |> Enum.map(& &1.id)\n    paths = objects |> Enum.map(&Map.fetch!(&1.payload, \"filename\"))\n\n    mark_for_deletion(ids)\n    remove_s3_objects(paths)\n    remove_rows(ids)\n\n    if Enum.count(objects) == @max_objects do\n      %{} |> __MODULE__.new() |> Oban.insert!()\n    end\n\n    :ok\n  end\n\n  defp mark_for_deletion(ids) do\n    DataConversion\n    |> where([r], r.id in ^ids)\n    |> update(set: [payload: fragment(\"jsonb_set(payload, '{mark_for_deletion}', 'true')\")])\n    |> Repo.update_all([])\n  end\n\n  defp remove_rows(ids) do\n    DataConversion |> where([r], r.id in ^ids) |> Repo.delete_all()\n  end\n\n  defp remove_s3_objects(paths) do\n    paths |> Enum.each(&Transport.S3.delete_object!(:history, &1))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/conversions/generic_converter.ex",
    "content": "defmodule Transport.Jobs.GenericConverter do\n  @moduledoc \"\"\"\n  Provides some functions to convert GTFS to another format.\n  \"\"\"\n  alias DB.{DataConversion, Repo, ResourceHistory}\n  import Ecto.Query\n  require Logger\n\n  @allowed_formats [\"GeoJSON\"]\n\n  def enqueue_all_conversion_jobs(source_format, target_format, conversion_job_module) do\n    fatal_error_key = fatal_error_key(target_format)\n    converter = conversion_job_module.converter()\n\n    query =\n      ResourceHistory\n      |> where(\n        [_r],\n        fragment(\n          \"\"\"\n          payload ->>'format'=?\n          AND NOT payload \\\\? ?\n          AND\n          payload ->>'uuid' NOT IN\n          (SELECT resource_history_uuid::text FROM data_conversion WHERE convert_from=? and convert_to=? and converter=?)\n          \"\"\",\n          ^source_format,\n          ^fatal_error_key,\n          ^source_format,\n          ^target_format,\n          ^converter\n        )\n      )\n      |> select([r], r.id)\n\n    stream = Repo.stream(query)\n\n    Repo.transaction(fn ->\n      stream\n      |> Stream.each(fn id ->\n        %{\"resource_history_id\" => id, \"action\" => \"create\"}\n        |> conversion_job_module.new()\n        |> Oban.insert()\n      end)\n      |> Stream.run()\n    end)\n\n    :ok\n  end\n\n  defp fatal_error_key(format) when format in @allowed_formats, do: \"conversion_#{format}_fatal_error\"\n\n  defp resource_of_format?(expected_format, %{payload: %{\"format\" => format}}), do: to_string(expected_format) == format\n  defp resource_of_format?(_, _), do: false\n\n  @spec conversion_exists?(DB.ResourceHistory.t() | nil, binary(), binary(), module()) :: boolean\n  @doc \"\"\"\n  Checks if a conversion already exists for a `DB.ResourceHistory` and a target format.\n  \"\"\"\n  def conversion_exists?(\n        %DB.ResourceHistory{payload: %{\"uuid\" => resource_uuid}},\n        source_format,\n        target_format,\n        converter_module\n      )\n      when target_format in @allowed_formats do\n    DataConversion\n    |> Repo.get_by(\n      convert_from: source_format,\n      convert_to: target_format,\n      converter: converter_module.converter(),\n      resource_history_uuid: resource_uuid\n    ) !== nil\n  end\n\n  def conversion_exists?(nil, _, _, _), do: false\n\n  @doc \"\"\"\n  Converts a resource_history to the targeted format, using a converter module\n  \"\"\"\n  @spec perform_single_conversion_job(integer(), binary(), binary(), module()) :: :ok\n  def perform_single_conversion_job(resource_history_id, source_format, target_format, converter_module)\n      when target_format in @allowed_formats do\n    resource_history = ResourceHistory |> Repo.get(resource_history_id)\n\n    case resource_of_format?(source_format, resource_history) and\n           not conversion_exists?(resource_history, source_format, target_format, converter_module) do\n      true ->\n        generate_and_upload_conversion(resource_history, source_format, target_format, converter_module)\n\n      false ->\n        Logger.info(\"Skipping #{target_format} conversion of resource history #{resource_history_id}\")\n        {:cancel, \"Conversion is not needed\"}\n    end\n  end\n\n  defp generate_and_upload_conversion(\n         %ResourceHistory{\n           id: resource_history_id,\n           resource_id: resource_id,\n           datagouv_id: resource_datagouv_id,\n           payload: %{\"uuid\" => resource_uuid, \"permanent_url\" => resource_url, \"filename\" => resource_filename}\n         } = resource_history,\n         source_format,\n         target_format,\n         converter_module\n       )\n       when target_format in @allowed_formats do\n    source_format_lower = source_format |> to_string() |> String.downcase()\n    target_format_lower = target_format |> String.downcase()\n    Logger.info(\"Starting conversion of download uuid #{resource_uuid}, from #{source_format} to #{target_format}\")\n\n    source_file_path =\n      System.tmp_dir!()\n      |> Path.join(\n        \"conversion_#{source_format_lower}_#{target_format_lower}_#{resource_history_id}_#{:os.system_time(:millisecond)}\"\n      )\n\n    conversion_output_path = \"#{source_file_path}.#{target_format_lower}\"\n    zip_path = \"#{conversion_output_path}.zip\"\n\n    try do\n      %{status_code: 200, body: body} = Transport.Shared.Wrapper.HTTPoison.impl().get!(resource_url)\n\n      File.write!(source_file_path, body)\n\n      case converter_module.convert(source_file_path, conversion_output_path) do\n        :ok ->\n          # gtfs2netex converter outputs a folder, we need to zip it\n          zip_conversion? = File.dir?(conversion_output_path)\n\n          path =\n            if zip_conversion? do\n              :ok = Transport.FolderZipper.zip(conversion_output_path, zip_path)\n              zip_path\n            else\n              conversion_output_path\n            end\n\n          %File.Stat{size: filesize} = File.stat!(path)\n\n          conversion_file_name =\n            resource_filename\n            |> conversion_file_name(source_format_lower, target_format_lower)\n            |> add_zip_extension(zip_conversion?)\n\n          Transport.S3.stream_to_s3!(:history, path, conversion_file_name, acl: :public_read)\n\n          %DataConversion{\n            convert_from: source_format,\n            convert_to: String.to_existing_atom(target_format),\n            status: :success,\n            converter: converter_module.converter(),\n            converter_version: converter_module.converter_version(),\n            resource_history_uuid: resource_uuid,\n            payload: %{\n              filename: conversion_file_name,\n              permanent_url: Transport.S3.permanent_url(:history, conversion_file_name),\n              resource_id: resource_id,\n              resource_datagouv_id: resource_datagouv_id,\n              filesize: filesize\n            }\n          }\n          |> Repo.insert!()\n\n          :ok\n\n        {:error, reason} ->\n          resource_history\n          |> Ecto.Changeset.change(%{\n            payload:\n              Map.merge(resource_history.payload, %{\n                fatal_error_key(target_format) => true,\n                \"conversion_#{target_format}_error\" => reason\n              })\n          })\n          |> Repo.update!()\n\n          {:cancel, \"Converter returned an error: #{reason}\"}\n      end\n    after\n      File.rm(source_file_path)\n      File.rm_rf(conversion_output_path)\n      # may not exist\n      File.rm(zip_path)\n    end\n  end\n\n  defp conversion_file_name(resource_name, source_format, target_format),\n    do: \"conversions/#{source_format}-to-#{target_format}/#{resource_name}.#{target_format}\"\n\n  defp add_zip_extension(path, true = _zip_conversion?), do: \"#{path}.zip\"\n  defp add_zip_extension(path, _), do: path\nend\n\ndefmodule Transport.FolderZipper do\n  @moduledoc \"\"\"\n  Zip a folder using the zip external command\n  \"\"\"\n  def zip(folder_path, zip_name) do\n    case Transport.RamboLauncher.run(\"zip\", [zip_name, \"-r\", \"./\"], cd: folder_path) do\n      {:ok, _} -> :ok\n      {:error, e} -> {:error, e}\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/conversions/gtfs_generic_converter.ex",
    "content": "defmodule Transport.Jobs.GTFSGenericConverter do\n  @moduledoc \"\"\"\n  Provides some functions to convert GTFS to another format.\n  \"\"\"\n  alias Transport.Jobs.GenericConverter\n\n  @doc \"\"\"\n  Enqueues conversion jobs for all resource history that need one.\n  \"\"\"\n  @spec enqueue_all_conversion_jobs(binary(), module() | [module()]) :: :ok\n  def enqueue_all_conversion_jobs(format, conversion_job_modules)\n      when is_list(conversion_job_modules) do\n    Enum.each(conversion_job_modules, &enqueue_all_conversion_jobs(format, &1))\n  end\n\n  def enqueue_all_conversion_jobs(format, conversion_job_module) do\n    GenericConverter.enqueue_all_conversion_jobs(\"GTFS\", format, conversion_job_module)\n  end\n\n  @doc \"\"\"\n  Converts a resource_history to the targeted format, using a converter module\n  \"\"\"\n  @spec perform_single_conversion_job(integer(), binary(), module()) :: :ok\n  def perform_single_conversion_job(resource_history_id, format, converter_module) do\n    GenericConverter.perform_single_conversion_job(resource_history_id, :GTFS, format, converter_module)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/conversions/gtfs_to_geojson_converter_job.ex",
    "content": "defmodule Transport.Jobs.GTFSToGeoJSONConverterJob do\n  @moduledoc \"\"\"\n  This will enqueue GTFS -> GeoJSON conversion jobs for all GTFS resources found in ResourceHistory.\n  \"\"\"\n  use Oban.Worker, tags: [\"conversions\"], max_attempts: 3\n  alias Transport.Jobs.GTFSGenericConverter\n\n  @impl true\n  def perform(%{}) do\n    GTFSGenericConverter.enqueue_all_conversion_jobs(\"GeoJSON\", Transport.Jobs.SingleGTFSToGeoJSONConverterJob)\n  end\nend\n\ndefmodule Transport.Jobs.SingleGTFSToGeoJSONConverterJob do\n  @moduledoc \"\"\"\n  Conversion Job of a GTFS to a GeoJSON, saving the resulting file in S3.\n  \"\"\"\n  use Oban.Worker, tags: [\"conversions\"], max_attempts: 3\n  alias Transport.Jobs.GTFSGenericConverter\n\n  defdelegate converter(), to: Transport.GTFSToGeoJSONConverter\n\n  @impl true\n  def perform(%{args: %{\"resource_history_id\" => resource_history_id}}) do\n    GTFSGenericConverter.perform_single_conversion_job(resource_history_id, \"GeoJSON\", Transport.GTFSToGeoJSONConverter)\n  end\nend\n\ndefmodule Transport.GTFSToGeoJSONConverter do\n  @moduledoc \"\"\"\n  Given a GTFS file path, create from the file the corresponding geojson with the stops and line shapes if available.\n  \"\"\"\n  @behaviour Transport.Converters.Converter\n\n  def convert(gtfs_file_path, geojson_file_path) do\n    binary_path = Path.join(Application.fetch_env!(:transport, :transport_tools_folder), \"gtfs-geojson\")\n\n    case Transport.RamboLauncher.run(binary_path, [\"--input\", gtfs_file_path, \"--output\", geojson_file_path]) do\n      {:ok, _} -> :ok\n      {:error, e} -> {:error, e}\n    end\n  end\n\n  @impl true\n  def converter, do: \"rust-transit/gtfs-to-geojson\"\n\n  @impl true\n  def converter_version, do: \"0.3.1\"\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/conversions/netex_generic_converter.ex",
    "content": "defmodule Transport.Jobs.NeTExGenericConverter do\n  @moduledoc \"\"\"\n  Provides some functions to convert NeTEx to another format.\n  \"\"\"\n  alias Transport.Jobs.GenericConverter\n\n  @doc \"\"\"\n  Enqueues conversion jobs for all resource history that need one.\n  \"\"\"\n  @spec enqueue_all_conversion_jobs(binary(), module() | [module()]) :: :ok\n  def enqueue_all_conversion_jobs(format, conversion_job_modules)\n      when is_list(conversion_job_modules) do\n    Enum.each(conversion_job_modules, &enqueue_all_conversion_jobs(format, &1))\n  end\n\n  def enqueue_all_conversion_jobs(format, conversion_job_module) do\n    GenericConverter.enqueue_all_conversion_jobs(\"NeTEx\", format, conversion_job_module)\n  end\n\n  @doc \"\"\"\n  Converts a resource_history to the targeted format, using a converter module\n  \"\"\"\n  @spec perform_single_conversion_job(integer(), binary(), module()) :: :ok\n  def perform_single_conversion_job(resource_history_id, format, converter_module) do\n    GenericConverter.perform_single_conversion_job(resource_history_id, :NeTEx, format, converter_module)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/conversions/netex_to_geojson_converter_job.ex",
    "content": "defmodule Transport.Jobs.NeTExToGeoJSONConverterJob do\n  @moduledoc \"\"\"\n  This will enqueue NeTEx -> GeoJSON conversion jobs for all NeTEx resources found in ResourceHistory.\n  \"\"\"\n  use Oban.Worker, tags: [\"conversions\"], max_attempts: 3\n  alias Transport.Jobs.NeTExGenericConverter\n\n  @impl true\n  def perform(%{}) do\n    NeTExGenericConverter.enqueue_all_conversion_jobs(\"GeoJSON\", Transport.Jobs.SingleNeTExToGeoJSONConverterJob)\n  end\nend\n\ndefmodule Transport.Jobs.SingleNeTExToGeoJSONConverterJob do\n  @moduledoc \"\"\"\n  Conversion Job of a NeTEx to a GeoJSON, saving the resulting file in S3.\n  \"\"\"\n  use Oban.Worker, tags: [\"conversions\"], max_attempts: 3\n  alias Transport.Jobs.NeTExGenericConverter\n\n  defdelegate converter(), to: Transport.NeTExToGeoJSONConverter\n\n  @impl true\n  def perform(%{args: %{\"resource_history_id\" => resource_history_id}}) do\n    NeTExGenericConverter.perform_single_conversion_job(\n      resource_history_id,\n      \"GeoJSON\",\n      Transport.NeTExToGeoJSONConverter\n    )\n  end\nend\n\ndefmodule Transport.NeTExToGeoJSONConverter do\n  @moduledoc \"\"\"\n  Given a NeTEx file path, create from the file the corresponding geojson with the stops and line shapes if available.\n  \"\"\"\n  @behaviour Transport.Converters.Converter\n\n  def convert(netex_file_path, geojson_file_path) do\n    with {:ok, json} <- Transport.NeTEx.ArchiveParser.to_geojson(netex_file_path),\n         :ok <- File.write(geojson_file_path, JSON.encode!(json)) do\n      :ok\n    else\n      {:error, e} when is_atom(e) -> {:error, to_string(e)}\n      {:error, e} when is_binary(e) -> {:error, e}\n    end\n  end\n\n  @impl true\n  def converter, do: \"etalab/transport-site\"\n\n  @impl true\n  def converter_version, do: \"0.1.0\"\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/create_tokens_job.ex",
    "content": "defmodule Transport.Jobs.CreateTokensJob do\n  @moduledoc \"\"\"\n  This job is in charge of:\n  - creating a default token for each organization without a token.\n    The created token is then set as the default token for all\n    members of this organization.\n  - creating a default token for each contact without an organization.\n    The created token is then set as the default.\n  - creating a token for a contact.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"tokens\"]\n  import Ecto.Query\n\n  def get_all_contact_ids_having_a_default_token do\n    DB.DefaultToken.base_query()\n    |> select([default_token: dt], dt.contact_id)\n  end\n\n  def get_all_contact_ids_in_org do\n    DB.Contact.base_query()\n    |> join(:inner, [contact: c], o in assoc(c, :organizations), as: :organizations)\n    |> select([contact: c], c.id)\n    |> distinct(true)\n  end\n\n  # Create a token for a contact.\n  # - If the contact is not a member of an organization, a personal token\n  # - Otherwise set the default token using the first organization\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"action\" => \"create_token_for_contact\", \"contact_id\" => contact_id}}) do\n    contact = DB.Repo.get!(DB.Contact, contact_id) |> DB.Repo.preload([:default_tokens, organizations: [:tokens]])\n\n    if Enum.empty?(contact.default_tokens) do\n      if contact.organizations |> Enum.empty?() do\n        create_default_token_for_contact(contact)\n      else\n        set_default_token_for_contact(contact)\n      end\n\n      :ok\n    else\n      {:cancel, \"already has a default token\"}\n    end\n  end\n\n  # - Create a default token for an organization\n  # - Set this token as the default token for each member of the organization\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"organization_id\" => organization_id}}) do\n    contact = DB.Repo.get_by!(DB.Contact, email_hash: Application.fetch_env!(:transport, :contact_email))\n\n    organization =\n      DB.Organization\n      |> DB.Repo.get!(organization_id)\n      |> DB.Repo.preload(contacts: [:default_tokens])\n\n    token = create_token_for_organization(contact, organization)\n\n    organization.contacts\n    |> Enum.filter(fn %DB.Contact{default_tokens: default_tokens} -> default_tokens == [] end)\n    |> Enum.each(fn %DB.Contact{} = contact -> set_default_token_for_contact(token, contact) end)\n  end\n\n  # Sets a default token for members of an organization without a default token.\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"action\" => \"set_default_token_for_contacts\"}}) do\n    contact_ids_with_a_default_token = get_all_contact_ids_having_a_default_token()\n    contact_ids_in_org = get_all_contact_ids_in_org()\n\n    DB.Contact.base_query()\n    |> preload(organizations: [:tokens])\n    |> where([contact: c], c.id not in subquery(contact_ids_with_a_default_token))\n    |> where([contact: c], c.id in subquery(contact_ids_in_org))\n    |> select([contact: c], [:id])\n    |> DB.Repo.all()\n    |> Enum.each(&set_default_token_for_contact/1)\n  end\n\n  # - Create tokens for contacts without an organization\n  # - Set this token as the default token\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"action\" => \"create_tokens_for_contacts_without_org\"}}) do\n    contact_ids_with_a_default_token = get_all_contact_ids_having_a_default_token()\n    contact_ids_in_org = get_all_contact_ids_in_org()\n\n    DB.Contact.base_query()\n    |> where([contact: c], c.id not in subquery(contact_ids_with_a_default_token))\n    |> where([contact: c], c.id not in subquery(contact_ids_in_org))\n    |> select([contact: c], [:id])\n    |> DB.Repo.all()\n    |> Enum.each(&create_default_token_for_contact/1)\n  end\n\n  # - Finds organizations without a token\n  # - Enqueue job to create a token for this organization\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"action\" => \"create_tokens_for_organizations\"}}) do\n    token_org_ids =\n      DB.Token.base_query()\n      |> select([token: t], t.organization_id)\n      |> distinct(true)\n\n    DB.Organization.base_query()\n    |> where([organization: o], o.id not in subquery(token_org_ids))\n    |> select([organization: o], %{organization_id: o.id})\n    |> DB.Repo.all()\n    |> Enum.map(&__MODULE__.new/1)\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  defp create_default_token_for_contact(%DB.Contact{id: contact_id} = contact) do\n    token =\n      %DB.Token{}\n      |> DB.Token.changeset(%{\n        contact_id: contact_id,\n        organization_id: nil,\n        name: \"Défaut\"\n      })\n      |> DB.Repo.insert!()\n\n    set_default_token_for_contact(token, contact)\n  end\n\n  defp set_default_token_for_contact(%DB.Contact{organizations: organizations} = contact) do\n    organization = organizations |> hd()\n    tokens = organization |> Map.fetch!(:tokens)\n\n    token =\n      if Enum.empty?(tokens) do\n        create_token_for_organization(contact, organization)\n      else\n        tokens |> hd()\n      end\n\n    set_default_token_for_contact(token, contact)\n  end\n\n  defp create_token_for_organization(%DB.Contact{} = contact, %DB.Organization{} = organization) do\n    DB.Token.changeset(%DB.Token{}, %{\n      \"contact_id\" => contact.id,\n      \"organization_id\" => organization.id,\n      \"name\" => \"Défaut\"\n    })\n    |> DB.Repo.insert!()\n  end\n\n  defp set_default_token_for_contact(%DB.Token{id: token_id}, %DB.Contact{id: contact_id}) do\n    %DB.DefaultToken{}\n    |> DB.DefaultToken.changeset(%{token_id: token_id, contact_id: contact_id})\n    |> DB.Repo.insert!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/custom_logo_conversion_job.ex",
    "content": "defmodule Transport.Jobs.CustomLogoConversionJob do\n  @moduledoc \"\"\"\n  A job to handle custom logos uploaded by producers.\n  It converts images (resize and thumbnail), upload them to the\n  object storage and updates the dataset.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"datagouv_id\" => datagouv_id, \"path\" => path}, inserted_at: %DateTime{} = inserted_at}) do\n    %DB.Dataset{datagouv_id: datagouv_id} = DB.Repo.get_by!(DB.Dataset, datagouv_id: datagouv_id)\n    local_path = Path.join(System.tmp_dir!(), path)\n    extension = local_path |> Path.extname() |> String.downcase()\n    timestamp = DateTime.to_unix(inserted_at)\n\n    logo_filename = \"#{datagouv_id}.#{timestamp}#{extension}\"\n    full_logo_filename = \"#{datagouv_id}_full.#{timestamp}#{extension}\"\n    logo_path = Path.join(System.tmp_dir!(), logo_filename)\n    full_logo_path = Path.join(System.tmp_dir!(), full_logo_filename)\n\n    Transport.S3.download_file(:logos, path, local_path)\n\n    local_path\n    |> Image.thumbnail!(100)\n    |> Image.flatten!(background_color: :white)\n    |> Image.embed!(100, 100, background_color: :white, extend_mode: :white)\n    |> Image.write!(logo_path)\n\n    local_path\n    |> Image.thumbnail!(500)\n    |> Image.flatten!(background_color: :white)\n    |> Image.write!(full_logo_path)\n\n    stream_to_s3(logo_path, logo_filename)\n    stream_to_s3(full_logo_path, full_logo_filename)\n\n    {:ok, %Ecto.Changeset{} = changeset} =\n      %{\n        \"datagouv_id\" => datagouv_id,\n        \"custom_logo\" => Transport.S3.permanent_url(:logos, logo_filename),\n        \"custom_full_logo\" => Transport.S3.permanent_url(:logos, full_logo_filename)\n      }\n      |> DB.Dataset.changeset()\n\n    DB.Repo.update!(changeset)\n\n    File.rm!(local_path)\n    Transport.S3.delete_object!(:logos, path)\n\n    :ok\n  end\n\n  defp stream_to_s3(local_path, remote_path) do\n    Transport.S3.stream_to_s3!(:logos, local_path, remote_path,\n      acl: :public_read,\n      cache_control: \"public, max-age=604800\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/database_backup_replication_job.ex",
    "content": "defmodule Transport.Jobs.DatabaseBackupReplicationJob do\n  @moduledoc \"\"\"\n  Job in charge of copying the latest database dump from one\n  hosting provider's object storage to another one.\n\n  This job checks that:\n  - permissions are approriate:\n    - cannot list buckets\n    - cannot list objects in destination bucket\n    - cannot delete and object in destination bucket\n  - the latest dump has an appropriate size (between 90% and 110% compared to yesterday's dump)\n  - the dump is recent enough\n  - not too large\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [Transport.Jobs.ObanLogger.email_on_failure_tag()]\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    ensure_destination_permissions_are_appropriate!()\n\n    check_appropriate_size!()\n\n    latest_dump() |> check_dump_is_recent_enough!() |> upload!()\n\n    :ok\n  end\n\n  def ensure_destination_permissions_are_appropriate! do\n    # Cannot list buckets\n    %{body: %{buckets: []}} = ExAws.S3.list_buckets() |> request!(:destination)\n    # Cannot list objects in destination bucket\n    destination_bucket = bucket_name(:destination)\n    {:error, {:http_error, 403, _}} = destination_bucket |> ExAws.S3.list_objects() |> request(:destination)\n    # Cannot delete an object in the destination bucket\n    random_filename = Ecto.UUID.generate()\n\n    {:error, {:http_error, 403, _}} =\n      destination_bucket |> ExAws.S3.delete_object(random_filename) |> request(:destination)\n  end\n\n  def upload!(dump) do\n    tmp_path = System.tmp_dir!() |> Path.join(Ecto.UUID.generate())\n\n    try do\n      :source\n      |> bucket_name()\n      |> ExAws.S3.download_file(Map.fetch!(dump, :key), tmp_path)\n      |> request!(:source)\n\n      tmp_path\n      |> ExAws.S3.Upload.stream_file()\n      |> ExAws.S3.upload(bucket_name(:destination), upload_filename(dump), acl: :private, timeout: :timer.seconds(90))\n      |> request!(:destination)\n    after\n      File.rm(tmp_path)\n    end\n  end\n\n  def check_appropriate_size! do\n    today = Date.utc_today()\n    yesterday = Date.add(today, -1)\n    dumps = latest_source_dumps(20)\n    today_size = latest_dump_for_date(dumps, today) |> dump_size()\n    yesterday_size = latest_dump_for_date(dumps, yesterday) |> dump_size()\n\n    unless 0.9 * yesterday_size <= today_size and today_size <= 1.1 * yesterday_size do\n      raise \"Latest backup size is unexpected. Yesterday: #{yesterday_size}, today: #{today_size}\"\n    end\n  end\n\n  def latest_dump_for_date(latest_dumps, %Date{} = date) do\n    latest_dumps\n    |> Enum.filter(fn %{last_modified: last_modified} ->\n      Date.compare(last_modified |> datetime_to_date(), date) == :eq\n    end)\n    |> List.first()\n  end\n\n  def latest_dump, do: List.first(latest_source_dumps(1))\n\n  def latest_source_dumps(nb_to_keep) when is_integer(nb_to_keep) and nb_to_keep > 0 do\n    bucket_name = bucket_name(:source)\n    %{body: %{contents: contents}} = bucket_name |> ExAws.S3.list_objects() |> request!(:source)\n    contents |> Enum.sort_by(&Map.fetch!(&1, :last_modified), :desc) |> Enum.take(nb_to_keep)\n  end\n\n  def bucket_name(target), do: Map.fetch!(find_config(target), :bucket_name)\n\n  @doc \"\"\"\n  Number of seconds in a given number of hours.\n\n  iex> hours_in_seconds(3)\n  10_800\n  \"\"\"\n  def hours_in_seconds(hours), do: hours * 60 * 60\n\n  @doc \"\"\"\n  Number of bytes in a given number of gigabytes.\n\n  iex> gigabytes(2)\n  2.0e9\n  \"\"\"\n  def gigabytes(gigabytes) when is_integer(gigabytes) and gigabytes > 0 do\n    gigabytes * :math.pow(1000, 3)\n  end\n\n  def check_dump_not_too_large!(dump) do\n    if dump_size(dump) > max_size_threshold() do\n      raise \"Latest database dump is larger than 10 gigabytes #{inspect(dump)}\"\n    end\n\n    dump\n  end\n\n  def dump_size(%{size: size_str}) do\n    {size, \"\"} = Integer.parse(size_str)\n    size\n  end\n\n  def check_dump_is_recent_enough!(%{last_modified: last_modified_str} = dump) do\n    last_modified = NaiveDateTime.from_iso8601!(last_modified_str)\n\n    unless NaiveDateTime.diff(NaiveDateTime.utc_now(), last_modified) < recent_enough_threshold() do\n      raise \"Latest database dump is not recent enough #{inspect(dump)}\"\n    end\n\n    dump\n  end\n\n  def max_size_threshold, do: gigabytes(10)\n  def recent_enough_threshold, do: hours_in_seconds(12)\n\n  defp upload_filename(%{key: key}) do\n    filename = key |> String.replace_trailing(\".dump\", \"\")\n    [filename, Ecto.UUID.generate(), \"dump\"] |> Enum.join(\".\")\n  end\n\n  defp request(operation, target) when target in [:source, :destination] do\n    operation |> Transport.Wrapper.ExAWS.impl().request(find_config(target))\n  end\n\n  defp request!(operation, target) when target in [:source, :destination] do\n    operation |> Transport.Wrapper.ExAWS.impl().request!(find_config(target))\n  end\n\n  defp find_config(target) when target in [:source, :destination] do\n    Map.fetch!(\n      %{\n        source: ExAws.Config.new(:s3, Application.fetch_env!(:ex_aws, :database_backup_source)),\n        destination: ExAws.Config.new(:s3, Application.fetch_env!(:ex_aws, :database_backup_destination))\n      },\n      target\n    )\n  end\n\n  defp datetime_to_date(dt_string) when is_binary(dt_string) do\n    {:ok, dt, 0} = \"#{String.trim_trailing(dt_string, \"Z\")}Z\" |> DateTime.from_iso8601()\n    DateTime.to_date(dt)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/database_vacuum_job.ex",
    "content": "defmodule Transport.Jobs.DatabaseVacuumJob do\n  @moduledoc \"\"\"\n  Job in charge of running a `VACUUM FULL` on the production database.\n\n  This job is scheduled weekly during Sunday night.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"ops\"]\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    Ecto.Adapters.SQL.query!(DB.Repo, \"VACUUM FULL\", [], timeout: :timer.minutes(5))\n    :ok\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/dataset_history_job.ex",
    "content": "defmodule Transport.Jobs.DatasetHistoryDispatcherJob do\n  @moduledoc \"\"\"\n  Job in charge of dispatching multiple `DatasetHistoryJob`\n  \"\"\"\n  use Oban.Worker, unique: [period: {20, :hours}], tags: [\"history\"], max_attempts: 3\n  require Logger\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(_job) do\n    DB.Dataset.base_with_hidden_datasets()\n    |> DB.Repo.all()\n    |> Enum.map(fn dataset ->\n      %{dataset_id: dataset.id} |> Transport.Jobs.DatasetHistoryJob.new()\n    end)\n    |> Oban.insert_all()\n\n    :ok\n  end\nend\n\ndefmodule Transport.Jobs.DatasetHistoryJob do\n  @moduledoc \"\"\"\n  Job historicising a single dataset\n  \"\"\"\n  use Oban.Worker,\n    unique: [period: {20, :hours}, fields: [:args, :queue, :worker]],\n    tags: [\"history\"],\n    max_attempts: 3\n\n  require Logger\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"dataset_id\" => dataset_id}}) do\n    Logger.info(\"Running DatasetHistoryJob for dataset##{dataset_id}\")\n\n    dataset = get_preloaded_dataset(dataset_id)\n\n    %DB.DatasetHistory{\n      dataset_id: dataset_id,\n      dataset_datagouv_id: dataset.datagouv_id,\n      payload: %{\n        \"licence\" => dataset.licence,\n        \"type\" => dataset.type,\n        \"slug\" => dataset.slug,\n        \"custom_tags\" => dataset.custom_tags\n      },\n      dataset_history_resources:\n        dataset.resources\n        |> Enum.map(fn resource ->\n          {resource_history_id, last_up_to_date_at} =\n            case resource.resource_history do\n              [%{id: id, last_up_to_date_at: last_up_to_date_at}] -> {id, last_up_to_date_at}\n              [] -> {nil, nil}\n            end\n\n          resource_metadata_id =\n            case resource.resource_metadata do\n              [%{id: id}] -> id\n              [] -> nil\n            end\n\n          resource_validation_id =\n            case resource.validations do\n              [%{id: id}] -> id\n              [] -> nil\n            end\n\n          %DB.DatasetHistoryResources{\n            resource_id: resource.id,\n            resource_history_id: resource_history_id,\n            resource_history_last_up_to_date_at: last_up_to_date_at,\n            resource_metadata_id: resource_metadata_id,\n            validation_id: resource_validation_id,\n            payload: %{\n              url: resource.url,\n              latest_url: resource.latest_url,\n              download_url: DB.Resource.download_url(resource)\n            },\n            resource_datagouv_id: resource.datagouv_id\n          }\n        end)\n    }\n    |> DB.Repo.insert!()\n\n    :ok\n  end\n\n  def get_preloaded_dataset(dataset_id) do\n    latest_resource_metadata =\n      DB.ResourceMetadata |> distinct([rm], rm.resource_id) |> order_by([rm], asc: rm.resource_id, desc: rm.inserted_at)\n\n    # could be problematic if multiple validators are used for the same real time resource\n    latest_resource_validation =\n      DB.MultiValidation |> distinct([mv], mv.resource_id) |> order_by([mv], asc: mv.resource_id, desc: mv.inserted_at)\n\n    DB.Dataset.base_with_hidden_datasets()\n    |> where([dataset: d], d.id == ^dataset_id)\n    |> join(:left, [dataset: d], r in DB.Resource, on: d.id == r.dataset_id, as: :resource)\n    |> join(:left, [resource: r], rh in DB.ResourceHistory,\n      on: rh.resource_id == r.id,\n      as: :resource_history\n    )\n    |> distinct([resource: r], r.id)\n    |> order_by([resource: r, resource_history: rh],\n      asc: r.id,\n      desc: rh.inserted_at\n    )\n    |> preload([resource: r, resource_history: rh, dataset: d],\n      resources:\n        {r,\n         dataset: d,\n         resource_history: rh,\n         resource_metadata: ^latest_resource_metadata,\n         validations: ^latest_resource_validation}\n    )\n    |> DB.Repo.one!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/dataset_now_on_nap_notification_job.ex",
    "content": "defmodule Transport.Jobs.DatasetNowOnNAPNotificationJob do\n  @moduledoc \"\"\"\n  Job in charge of sending a welcome notification to producers when a dataset has been added on the NAP.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"notifications\"], unique: [period: :infinity]\n  import Ecto.Query\n\n  @notification_reason Transport.NotificationReason.reason(:dataset_now_on_nap)\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"dataset_id\" => dataset_id}, id: job_id}) do\n    dataset = DB.Repo.get!(DB.Dataset, dataset_id)\n\n    # Identify producer subscriptions for this dataset and send a welcome email\n    # to each contact, only once per contact even if they have subscriptions\n    # for various reasons.\n    dataset\n    |> DB.NotificationSubscription.subscriptions_for_dataset_and_role(:producer)\n    |> Enum.uniq_by(fn %DB.NotificationSubscription{contact_id: contact_id} -> contact_id end)\n    |> reject_already_sent(dataset)\n    |> Enum.each(fn %DB.NotificationSubscription{contact: %DB.Contact{} = contact} ->\n      Transport.UserNotifier.dataset_now_on_nap(contact, dataset)\n      |> Transport.Mailer.deliver()\n\n      save_notification(contact, dataset)\n    end)\n\n    Oban.Notifier.notify(Oban, :gossip, %{complete: job_id})\n  end\n\n  defp save_notification(%DB.Contact{id: contact_id, email: email}, %DB.Dataset{id: dataset_id}) do\n    DB.Notification.insert!(%{\n      reason: @notification_reason,\n      dataset_id: dataset_id,\n      email: email,\n      contact_id: contact_id,\n      role: :producer\n    })\n  end\n\n  defp reject_already_sent(notification_subscriptions, %DB.Dataset{} = dataset) do\n    already_sent_emails = email_addresses_already_sent(dataset)\n\n    Enum.reject(notification_subscriptions, fn %DB.NotificationSubscription{contact: %DB.Contact{email: email}} ->\n      email in already_sent_emails\n    end)\n  end\n\n  @spec email_addresses_already_sent(DB.Dataset.t()) :: MapSet.t()\n  defp email_addresses_already_sent(%DB.Dataset{id: dataset_id}) do\n    DB.Notification\n    |> where([n], n.dataset_id == ^dataset_id and n.reason == @notification_reason)\n    |> select([n], n.email)\n    |> DB.Repo.all()\n    |> MapSet.new()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/dataset_quality_score.ex",
    "content": "defmodule Transport.Jobs.DatasetQualityScoreDispatcher do\n  @moduledoc \"\"\"\n  Computes quality scores for a dataset\n  \"\"\"\n  use Oban.Worker, unique: [period: {20, :hours}], max_attempts: 1\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    DB.Dataset.base_with_hidden_datasets()\n    |> select([dataset: d], d.id)\n    |> DB.Repo.all()\n    |> Enum.map(&(%{dataset_id: &1} |> Transport.Jobs.DatasetQualityScore.new()))\n    |> Oban.insert_all()\n\n    :ok\n  end\nend\n\ndefmodule Transport.Jobs.DatasetQualityScore do\n  @moduledoc \"\"\"\n  Computes quality scores for a dataset\n  \"\"\"\n  use Oban.Worker, unique: [period: {20, :hours}], max_attempts: 1\n  import Ecto.Query\n\n  @type compute_score_fn :: (integer() -> %{score: nil | float(), details: map()})\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"dataset_id\" => dataset_id}}) do\n    DB.DatasetScore\n    |> Ecto.Enum.values(:topic)\n    |> Enum.each(fn topic -> save_dataset_score(dataset_id, topic) end)\n  end\n\n  @doc \"\"\"\n  Build the details map to explain the score computation\n\n  iex> build_details(%{resources: [%{resource_id: 1}]}, %{score: 1.0})\n  %{resources: [%{resource_id: 1}], previous_score: 1.0}\n\n  iex> build_details(%{resources: [%{resource_id: 1}]}, nil)\n  %{resources: [%{resource_id: 1}], previous_score: nil}\n\n  iex> build_details(%{resources: [%{resource_id: 1}]}, %{score: nil})\n  %{resources: [%{resource_id: 1}], previous_score: nil}\n\n  iex> build_details(nil, %{score: 1.0})\n  %{previous_score: 1.0}\n  \"\"\"\n  def build_details(%{} = details, %{} = last_score) do\n    Map.merge(details, %{previous_score: Map.get(last_score, :score)})\n  end\n\n  def build_details(details, last_score), do: build_details(details || %{}, last_score || %{})\n\n  @doc \"\"\"\n  Exponential smoothing. See https://en.wikipedia.org/wiki/Exponential_smoothing\n\n  iex> exp_smoothing(0.5, 1, :freshness)\n  0.55\n  iex> exp_smoothing(0.5, 1, 0.9)\n  0.55\n  iex> exp_smoothing(0.5, 1, :compliance)\n  0.525\n  \"\"\"\n  @spec exp_smoothing(float(), float(), atom() | float()) :: float()\n  def exp_smoothing(previous_score, today_score, :compliance) do\n    exp_smoothing(previous_score, today_score, 0.95)\n  end\n\n  def exp_smoothing(previous_score, today_score, topic) when topic in [:freshness, :availability] do\n    exp_smoothing(previous_score, today_score, 0.9)\n  end\n\n  def exp_smoothing(previous_score, today_score, alpha) do\n    alpha * previous_score + (1.0 - alpha) * today_score\n  end\n\n  @spec last_dataset_score(integer(), atom()) :: DB.DatasetScore.t() | nil\n  def last_dataset_score(dataset_id, topic) do\n    # if a previous score exists but is too old, it is not used\n    max_last_score_age_days = 7\n\n    DB.DatasetScore.base_query()\n    |> where(\n      [ds],\n      ds.dataset_id == ^dataset_id and ds.topic == ^topic and not is_nil(ds.score) and\n        fragment(\n          \"DATE(?) < CURRENT_DATE AND DATE(?) > CURRENT_DATE - ?::integer\",\n          ds.timestamp,\n          ds.timestamp,\n          ^max_last_score_age_days\n        )\n    )\n    |> order_by([ds], desc: ds.timestamp)\n    |> limit(1)\n    |> DB.Repo.one()\n  end\n\n  @doc \"\"\"\n  Computes the average of a list of values.\n\n  iex> average([])\n  nil\n  iex> average([1, 3])\n  2.0\n  \"\"\"\n  def average([]), do: nil\n  def average(e), do: Enum.sum(e) / Enum.count(e)\n\n  @spec dataset_resources(integer()) :: [DB.Resource.t()]\n  def dataset_resources(dataset_id) do\n    DB.Dataset\n    |> DB.Repo.get!(dataset_id)\n    |> DB.Repo.preload(:resources)\n    |> DB.Dataset.official_resources()\n    |> Enum.sort_by(& &1.id)\n  end\n\n  @spec save_dataset_score(integer(), atom()) :: DB.DatasetScore.t() | nil\n  def save_dataset_score(dataset_id, topic) do\n    %{score: score, details: details} = dataset_score(dataset_id, topic)\n\n    %DB.DatasetScore{}\n    |> DB.DatasetScore.changeset(%{\n      dataset_id: dataset_id,\n      topic: topic,\n      score: score,\n      timestamp: DateTime.utc_now(),\n      details: details\n    })\n    |> case do\n      %{valid?: true} = c ->\n        DB.Repo.insert(c)\n\n      c ->\n        Sentry.capture_message(\n          \"Dataset quality score entry is incorrect\",\n          extra: %{dataset_id: dataset_id, topic: to_string(topic), error_reason: inspect(c)}\n        )\n\n        nil\n    end\n  end\n\n  @spec dataset_score(integer(), atom()) :: %{score: float | nil, details: map()}\n  def dataset_score(dataset_id, topic) do\n    compute_fn = compute_fn_for_topic(topic)\n    %{score: today_score, details: details} = compute_fn.(dataset_id)\n\n    computed_score =\n      case last_score = last_dataset_score(dataset_id, topic) do\n        %{score: previous_score} when is_float(previous_score) and is_float(today_score) ->\n          exp_smoothing(previous_score, today_score, topic)\n\n        _ ->\n          today_score\n      end\n\n    %{\n      score: computed_score,\n      details: details |> build_details(last_score) |> Map.put(:today_score, today_score)\n    }\n  end\n\n  @doc \"\"\"\n  iex> DB.DatasetScore |> Ecto.Enum.values(:topic) |> Enum.each(&compute_fn_for_topic/1)\n  :ok\n  \"\"\"\n  @spec compute_fn_for_topic(atom()) :: compute_score_fn()\n  def compute_fn_for_topic(topic) do\n    Map.fetch!(\n      %{\n        availability: &Transport.Jobs.DatasetAvailabilityScore.current_dataset_availability/1,\n        freshness: &Transport.Jobs.DatasetFreshnessScore.current_dataset_freshness/1,\n        compliance: &Transport.Jobs.DatasetComplianceScore.current_dataset_compliance/1\n      },\n      topic\n    )\n  end\nend\n\ndefmodule Transport.Jobs.DatasetComplianceScore do\n  @moduledoc \"\"\"\n  Methods specific to the compliance component of a dataset score.\n\n  Computes and saves a compliance score for a dataset.\n\n  To compute this score:\n  - get the dataset's current resources\n  - for each resource we validated using a list of validators (`@validators`),\n    give it a score (1 if it's valid, 0 if it has an error)\n  - we compute an average of those scores to get a score at the dataset level\n   - that score is averaged with the dataset's last computed score, using exponential smoothing\n  (see the function `exp_smoothing/3`). This allows a score to reflect not only the current\n  dataset situation but also past situations.\n  \"\"\"\n  import Ecto.Query\n  alias Transport.Jobs.DatasetQualityScore\n\n  @validators_with_has_errors [\n    Transport.Validators.TableSchema,\n    Transport.Validators.JSONSchema,\n    Transport.Validators.GBFSValidator\n  ]\n  @gtfs_validator Transport.Validators.GTFSTransport\n  @netex_validator Transport.Validators.NeTEx.Validator\n  @mobilitydata_gtfs_validator Transport.Validators.MobilityDataGTFSValidator\n  @validators [@gtfs_validator, @netex_validator, @mobilitydata_gtfs_validator] ++ @validators_with_has_errors\n  @validator_names Enum.map(@validators, & &1.validator_name())\n  @validators_with_has_errors_names Enum.map(@validators_with_has_errors, & &1.validator_name())\n  @gtfs_validator_name @gtfs_validator.validator_name()\n  @netex_validator_name @netex_validator.validator_name()\n  @mobilitydata_gtfs_validator_name @mobilitydata_gtfs_validator.validator_name()\n\n  @spec current_dataset_compliance(integer()) :: %{score: float | nil, details: map()}\n  def current_dataset_compliance(dataset_id) do\n    validation_details =\n      dataset_id\n      |> DB.MultiValidation.dataset_latest_validation(@validators, include_result: true)\n      |> Enum.reject(fn {_resource_id, [multi_validation]} -> is_nil(multi_validation) end)\n\n    current_dataset_infos = Enum.map(validation_details, &resource_compliance(&1))\n\n    score =\n      current_dataset_infos\n      |> Enum.map(fn %{compliance: compliance} -> compliance end)\n      |> Enum.reject(&is_nil/1)\n      |> DatasetQualityScore.average()\n\n    %{score: score, details: %{resources: current_dataset_infos}}\n  end\n\n  @spec resource_compliance({integer(), [DB.MultiValidation.t()]}) :: %{\n          :compliance => float() | nil,\n          :resource_id => integer(),\n          :raw_measure => map()\n        }\n  # Works for TableSchema + JSON Schema and GBFS\n  def resource_compliance(\n        {resource_id, [%DB.MultiValidation{validator: validator, result: %{\"has_errors\" => has_errors} = result}]}\n      )\n      when validator in @validators_with_has_errors_names do\n    compliance = if has_errors, do: 0.0, else: 1.0\n    %{compliance: compliance, resource_id: resource_id, raw_measure: result}\n  end\n\n  # For GTFS resources\n  def resource_compliance({resource_id, [%DB.MultiValidation{validator: @gtfs_validator_name, max_error: max_error}]}) do\n    compliance = if max_error in [\"Fatal\", \"Error\"], do: 0.0, else: 1.0\n    %{compliance: compliance, resource_id: resource_id, raw_measure: %{\"max_error\" => max_error}}\n  end\n\n  def resource_compliance(\n        {resource_id, [%DB.MultiValidation{validator: @mobilitydata_gtfs_validator_name, max_error: max_error}]}\n      ) do\n    compliance = if max_error == \"ERROR\", do: 0.0, else: 1.0\n    %{compliance: compliance, resource_id: resource_id, raw_measure: %{\"max_error\" => max_error}}\n  end\n\n  # For NeTEx resources\n  def resource_compliance({resource_id, [%DB.MultiValidation{validator: @netex_validator_name, max_error: max_error}]}) do\n    compliance = if max_error == \"error\", do: 0.0, else: 1.0\n    %{compliance: compliance, resource_id: resource_id, raw_measure: %{\"max_error\" => max_error}}\n  end\n\n  # Validation has not been performed.\n  # This happens when the validator was down or when the resource is\n  # improperly associated with a schema\n  def resource_compliance(\n        {resource_id, [%DB.MultiValidation{validator: validator, result: %{\"validation_performed\" => false} = result}]}\n      )\n      when validator in @validator_names do\n    %{compliance: nil, resource_id: resource_id, raw_measure: result}\n  end\n\n  # Fallback on the validation digest.\n  # This can happen if the validation result has been nullified.\n  def resource_compliance({resource_id, [%DB.MultiValidation{digest: %{\"errors_count\" => errors_count} = digest}]}) do\n    compliance = if errors_count == 0, do: 1.0, else: 0.0\n    %{compliance: compliance, resource_id: resource_id, raw_measure: digest}\n  end\nend\n\ndefmodule Transport.Jobs.DatasetAvailabilityScore do\n  @moduledoc \"\"\"\n  Methods specific to the availability component of a dataset score.\n\n  Saves and computes an availability score for a dataset.\n\n  To compute this score:\n  - get the dataset's current resources, excluding documentation resources\n  - for each resource, give it a score based on its availability over the last 24 hours\n  - we compute an average of those scores to get a score at the dataset level\n   - that score is averaged with the dataset's last computed score, using exponential smoothing\n  (see the function `exp_smoothing/3`). This allows a score to reflect not only the current\n  dataset situation but also past situations.\n  \"\"\"\n  import Ecto.Query\n  import Transport.Jobs.DatasetQualityScore\n\n  @spec current_dataset_availability(integer()) :: %{score: float | nil, details: map()}\n  def current_dataset_availability(dataset_id) do\n    relevant_resources = dataset_id |> dataset_resources() |> Enum.reject(&DB.Resource.documentation?/1)\n\n    if Enum.empty?(relevant_resources) do\n      %{score: 0.0, details: %{resources: []}}\n    else\n      current_dataset_infos = Enum.map(relevant_resources, &resource_availability(&1))\n      scores = current_dataset_infos |> Enum.map(fn %{availability: availability} -> availability end)\n\n      %{score: average(scores), details: %{resources: current_dataset_infos}}\n    end\n  end\n\n  @spec resource_availability(DB.Resource.t()) :: %{\n          :availability => float,\n          :resource_id => integer,\n          :raw_measure => any\n        }\n  def resource_availability(%DB.Resource{id: resource_id} = resource) do\n    if resource_id in resource_ids_with_unavailabilities() do\n      percentage = DB.ResourceUnavailability.availability_over_last_days(resource, 1)\n      %{availability: availability_percentage_to_score(percentage), resource_id: resource_id, raw_measure: percentage}\n    else\n      %{availability: 1.0, resource_id: resource_id, raw_measure: nil}\n    end\n  end\n\n  @doc \"\"\"\n  Goes from an availability percentage [0; 100] over the last 24h to a score [0; 1].\n\n  iex> availability_percentage_to_score(99.5)\n  1.0\n  iex> availability_percentage_to_score(98)\n  0.75\n  iex> availability_percentage_to_score(96)\n  0.5\n  iex> availability_percentage_to_score(94.9)\n  0.0\n  \"\"\"\n  @spec availability_percentage_to_score(float()) :: float()\n  def availability_percentage_to_score(percentage) when percentage >= 0 and percentage <= 100 do\n    cond do\n      percentage >= 99.5 -> 1.0\n      percentage >= 97.5 -> 0.75\n      percentage >= 95 -> 0.5\n      true -> 0.0\n    end\n  end\n\n  @doc \"\"\"\n  Returns `DB.Resource` IDs which were unavailable over the last 24 hours.\n\n  This is used for optimization purposes. Most (> 95% ?) resources will be\n  available so we want to avoid SQL queries for those.\n\n  By identifying problematic resources quickly we can avoid a bunch of SQL queries.\n  Since the process is executed in asynchronous jobs, we use a cache to share\n  this data across jobs.\n  \"\"\"\n  def resource_ids_with_unavailabilities do\n    Transport.Cache.fetch(\n      to_string(__MODULE__) <> \":unavailabilities_resource_ids\",\n      fn ->\n        dt_limit = DateTime.utc_now() |> DateTime.add(-1, :day)\n\n        DB.ResourceUnavailability\n        |> where([r], is_nil(r.end) or r.end >= ^dt_limit)\n        |> select([r], r.resource_id)\n        |> distinct(true)\n        |> DB.Repo.all()\n      end,\n      :timer.seconds(60)\n    )\n  end\nend\n\ndefmodule Transport.Jobs.DatasetFreshnessScore do\n  @moduledoc \"\"\"\n  Methods specific to the freshness component of a dataset score.\n\n  Dataset \"freshness\" is the answer to the question: \"When the data was downloaded, was it up-to-date?\"\n\n  To give a score, we proceed this way:\n  - get the dataset's current resources\n  - for each resource, give it a score\n  - we compute an average of those scores to get a score at the dataset level\n  - that score is averaged with the dataset's last computed score, using exponential smoothing\n  (see the function `exp_smoothing/3`). This allows a score to reflect not only the current\n  dataset situation but also past situations. Typically, a dataset that had outdated resources\n  for the past year, but only up-to-date resources today is expected to have a low freshness score.\n  The interest of exponential smoothing is to give past scores an increasingly small weight as time\n  passes. To have a good score, a dataset must have up-to-date resources every day.\n  \"\"\"\n  import Ecto.Query\n  import Transport.Jobs.DatasetQualityScore\n\n  @spec current_dataset_freshness(integer()) :: %{score: float | nil, details: map()}\n  def current_dataset_freshness(dataset_id) do\n    resources = dataset_resources(dataset_id)\n    current_dataset_infos = resources |> Enum.map(&resource_freshness(&1))\n\n    score =\n      current_dataset_infos\n      |> Enum.map(fn %{freshness: freshness} -> freshness end)\n      |> Enum.reject(&is_nil(&1))\n      |> average()\n\n    %{score: score, details: %{resources: current_dataset_infos}}\n  end\n\n  @spec resource_freshness(DB.Resource.t()) ::\n          %{\n            :format => binary,\n            :freshness => float | nil,\n            :resource_id => integer,\n            :raw_measure => any,\n            :metadata_id => integer | nil,\n            :metadata_inserted_at => binary | nil\n          }\n  def resource_freshness(%DB.Resource{format: \"GTFS\" = format, id: resource_id}) do\n    (DB.MultiValidation.resource_latest_validation(resource_id, Transport.Validators.GTFSTransport) ||\n       DB.MultiValidation.resource_latest_validation(resource_id, Transport.Validators.MobilityDataGTFSValidator))\n    |> case do\n      %DB.MultiValidation{\n        metadata: %{\n          metadata: %{\"start_date\" => start_date, \"end_date\" => end_date},\n          id: metadata_id,\n          inserted_at: inserted_at\n        }\n      }\n      when not is_nil(start_date) and not is_nil(end_date) ->\n        start_date = Date.from_iso8601!(start_date)\n        end_date = Date.from_iso8601!(end_date)\n\n        freshness = gtfs_freshness(start_date, end_date)\n\n        %{\n          freshness: freshness,\n          raw_measure: %{start_date: start_date, end_date: end_date},\n          metadata_id: metadata_id,\n          metadata_inserted_at: inserted_at\n        }\n\n      _ ->\n        %{\n          freshness: nil,\n          raw_measure: nil,\n          metadata_id: nil,\n          metadata_inserted_at: nil\n        }\n    end\n    |> Map.merge(%{resource_id: resource_id, format: format})\n  end\n\n  def resource_freshness(%DB.Resource{format: \"gbfs\" = format, id: resource_id}) do\n    resource_id\n    |> resource_last_metadata_from_today()\n    |> case do\n      %{metadata: %{\"feed_timestamp_delay\" => feed_timestamp_delay}, id: metadata_id, inserted_at: inserted_at} ->\n        %{\n          freshness: gbfs_feed_freshness(feed_timestamp_delay),\n          raw_measure: feed_timestamp_delay,\n          metadata_id: metadata_id,\n          metadata_inserted_at: inserted_at\n        }\n\n      _ ->\n        %{\n          freshness: nil,\n          raw_measure: nil,\n          metadata_id: nil,\n          metadata_inserted_at: nil\n        }\n    end\n    |> Map.merge(%{resource_id: resource_id, format: format})\n  end\n\n  def resource_freshness(%DB.Resource{format: \"gtfs-rt\" = format, id: resource_id}) do\n    resource_id\n    |> resource_last_metadata_from_today()\n    |> case do\n      %{metadata: %{\"feed_timestamp_delay\" => feed_timestamp_delay}, id: metadata_id, inserted_at: inserted_at} ->\n        %{\n          freshness: gtfs_rt_feed_freshness(feed_timestamp_delay),\n          raw_measure: feed_timestamp_delay,\n          metadata_id: metadata_id,\n          metadata_inserted_at: inserted_at\n        }\n\n      _ ->\n        %{\n          freshness: nil,\n          raw_measure: nil,\n          metadata_id: nil,\n          metadata_inserted_at: nil\n        }\n    end\n    |> Map.merge(%{resource_id: resource_id, format: format})\n  end\n\n  def resource_freshness(%DB.Resource{format: format, id: resource_id}),\n    do: %{\n      format: format,\n      resource_id: resource_id,\n      freshness: nil,\n      raw_measure: nil,\n      metadata_id: nil,\n      metadata_inserted_at: nil\n    }\n\n  @doc \"\"\"\n  The freshness of a GTFS resource, base on its validity dates\n\n  iex> {today, tomorrow, yesterday} = {Date.utc_today(), Date.utc_today() |> Date.add(1), Date.utc_today() |> Date.add(-1)}\n  iex> gtfs_freshness(tomorrow, tomorrow)\n  nil\n  iex> gtfs_freshness(yesterday, yesterday)\n  0.0\n  iex> gtfs_freshness(yesterday, tomorrow)\n  1.0\n  iex> gtfs_freshness(today, tomorrow)\n  1.0\n  iex> gtfs_freshness(yesterday, today)\n  1.0\n  \"\"\"\n  def gtfs_freshness(start_date, end_date) do\n    today = Date.utc_today()\n\n    case {Date.compare(start_date, today), Date.compare(end_date, today)} do\n      # future GTFS are not scored\n      {:gt, _} -> nil\n      # outdated GTFS\n      {_, :lt} -> 0.0\n      # up-to-date GTFS\n      _ -> 1.0\n    end\n  end\n\n  @doc \"\"\"\n  5 minutes is the max delay allowed for GBFS\n  https://github.com/MobilityData/gbfs/blob/master/gbfs.md#data-latency\n  \"\"\"\n  def gbfs_max_timestamp_delay, do: 5 * 60\n\n  @doc \"\"\"\n  Gives a feed a freshness score, based on observed feed_timestamp_delay\n\n  iex> gbfs_feed_freshness(0)\n  1.0\n  iex> gbfs_feed_freshness(1000)\n  0.0\n  \"\"\"\n  def gbfs_feed_freshness(feed_timestamp_delay) do\n    if feed_timestamp_delay < gbfs_max_timestamp_delay(), do: 1.0, else: 0.0\n  end\n\n  @doc \"\"\"\n  We allow a 5 minutes delay for GTFS realtime feeds\n  \"\"\"\n  def gtfs_rt_max_timestamp_delay, do: 5 * 60\n\n  @doc \"\"\"\n  Gives a feed a freshness score, based on observed feed_timestamp_delay\n\n  iex> gtfs_rt_feed_freshness(0)\n  1.0\n  iex> gtfs_rt_feed_freshness(1000)\n  0.0\n  \"\"\"\n  def gtfs_rt_feed_freshness(feed_timestamp_delay) do\n    if feed_timestamp_delay < gtfs_rt_max_timestamp_delay(), do: 1.0, else: 0.0\n  end\n\n  def resource_last_metadata_from_today(resource_id) do\n    DB.ResourceMetadata.base_query()\n    |> where(\n      [metadata: m],\n      m.resource_id == ^resource_id and fragment(\"date(?) = CURRENT_DATE\", m.inserted_at)\n    )\n    |> distinct([metadata: m], m.resource_id)\n    |> order_by([metadata: m], desc: m.inserted_at)\n    |> DB.Repo.one()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/datasets_climate_resilience_bill_not_lo_licence_job.ex",
    "content": "defmodule Transport.Jobs.DatasetsClimateResilienceBillNotLOLicenceJob do\n  @moduledoc \"\"\"\n  Job in charge of sending email notifications to our bizdev team\n  when datasets are subject to a compulsory data integration obligation (article 122)\n  and switched to an inappropriate licence.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"moderation\"]\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    datasets = relevant_datasets()\n    remove_climate_resilience_bill_tag(datasets)\n\n    unless Enum.empty?(datasets) do\n      Transport.AdminNotifier.datasets_climate_resilience_bill_inappropriate_licence(datasets)\n      |> Transport.Mailer.deliver()\n    end\n\n    :ok\n  end\n\n  def relevant_datasets do\n    DB.Dataset.base_query()\n    |> DB.Dataset.filter_by_custom_tag(\"loi-climat-resilience\")\n    |> DB.Repo.all()\n    |> Enum.reject(&DB.Dataset.has_licence_ouverte?/1)\n  end\n\n  def remove_climate_resilience_bill_tag(datasets) do\n    ids = Enum.map(datasets, & &1.id)\n\n    DB.Dataset.base_query()\n    |> where([dataset: d], d.id in ^ids)\n    |> update([dataset: d], set: [custom_tags: fragment(\"array_remove(?, 'loi-climat-resilience')\", d.custom_tags)])\n    |> DB.Repo.update_all([])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/datasets_switching_climate_resilience_bill_job.ex",
    "content": "defmodule Transport.Jobs.DatasetsSwitchingClimateResilienceBillJob do\n  @moduledoc \"\"\"\n  Job in charge of sending email notifications on a weekly basis to know:\n  - when datasets are subject to a compulsory data integration obligation (article 122)\n  - were previously subject to to a compulsory data integration obligation but are not any more\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"notifications\"]\n  import Ecto.Query\n  @notification_reason Transport.NotificationReason.reason(:datasets_switching_climate_resilience_bill)\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{inserted_at: %DateTime{} = inserted_at}) do\n    changes = inserted_at |> DateTime.to_date() |> Date.add(-1) |> datasets_custom_tags_changes()\n\n    datasets_previously_climate_resilience = datasets_previously_climate_resilience_bill(changes)\n    datasets_now_climate_resilience = datasets_now_climate_resilience_bill(changes)\n\n    send_email(datasets_previously_climate_resilience, datasets_now_climate_resilience)\n  end\n\n  def send_email([], []), do: :ok\n\n  def send_email(datasets_previously_climate_resilience, datasets_now_climate_resilience) do\n    previously_ids = dataset_ids(datasets_previously_climate_resilience)\n    now_ids = dataset_ids(datasets_now_climate_resilience)\n\n    DB.NotificationSubscription.subscriptions_for_reason_and_role(@notification_reason, :reuser)\n    |> Enum.each(fn %DB.NotificationSubscription{contact: %DB.Contact{} = contact} = subscription ->\n      contact\n      |> Transport.UserNotifier.datasets_switching_climate_resilience_bill(\n        datasets_previously_climate_resilience,\n        datasets_now_climate_resilience\n      )\n      |> Transport.Mailer.deliver()\n\n      DB.Notification.insert!(\n        subscription,\n        %{\n          dataset_ids: previously_ids ++ now_ids,\n          datasets_previously_climate_resilience_ids: previously_ids,\n          datasets_now_climate_resilience_ids: now_ids\n        }\n      )\n    end)\n\n    :ok\n  end\n\n  defp dataset_ids(payload) do\n    Enum.map(payload, fn [_, %DB.Dataset{id: dataset_id}, _] -> dataset_id end)\n  end\n\n  def datasets_previously_climate_resilience_bill(result) do\n    Enum.filter(result, fn [%DB.DatasetHistory{} = recent_dh, %DB.Dataset{}, %DB.DatasetHistory{} = previous_dh] ->\n      has_climate_resilience_bill_tag?(previous_dh) and not has_climate_resilience_bill_tag?(recent_dh)\n    end)\n  end\n\n  def datasets_now_climate_resilience_bill(result) do\n    Enum.filter(result, fn [%DB.DatasetHistory{} = recent_dh, %DB.Dataset{}, %DB.DatasetHistory{} = previous_dh] ->\n      not has_climate_resilience_bill_tag?(previous_dh) and has_climate_resilience_bill_tag?(recent_dh)\n    end)\n  end\n\n  @doc \"\"\"\n  iex> has_climate_resilience_bill_tag?(%DB.DatasetHistory{payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}})\n  true\n  iex> has_climate_resilience_bill_tag?(%DB.DatasetHistory{payload: %{\"custom_tags\" => nil}})\n  false\n  iex> has_climate_resilience_bill_tag?(%DB.DatasetHistory{payload: %{\"custom_tags\" => [\"foo\"]}})\n  false\n  \"\"\"\n  def has_climate_resilience_bill_tag?(%DB.DatasetHistory{payload: %{\"custom_tags\" => custom_tags}}) do\n    \"loi-climat-resilience\" in (custom_tags || [])\n  end\n\n  def datasets_custom_tags_changes(%Date{} = date) do\n    DB.DatasetHistory\n    |> join(:inner, [dh], d in DB.Dataset, on: d.id == dh.dataset_id)\n    # Join on the same table, same dataset, but compare to a week ago\n    |> join(:inner, [dh, _d], dh2 in DB.DatasetHistory,\n      on: dh2.dataset_id == dh.dataset_id and fragment(\"?::date = ?::date -7\", dh2.inserted_at, dh.inserted_at)\n    )\n    |> where(\n      [dh, _d, dh2],\n      fragment(\n        \"?::date = ? and coalesce(?->>'custom_tags', '[]') != coalesce(?->>'custom_tags', '[]')\",\n        dh.inserted_at,\n        ^date,\n        dh.payload,\n        dh2.payload\n      )\n    )\n    |> order_by([_dh, d, _dh2], asc: d.id)\n    |> select([dh, d, dh2], [dh, d, dh2])\n    |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/datasets_without_gtfs_rt_related_resources_notification_job.ex",
    "content": "defmodule Transport.Jobs.DatasetsWithoutGTFSRTRelatedResourcesNotificationJob do\n  @moduledoc \"\"\"\n  Job in charge of detecting datasets with missing related resources\n  for GTFS-RT resources and sending a notification email to our team.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"notifications\"]\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    relevant_datasets() |> send_email()\n  end\n\n  def send_email([]), do: :ok\n\n  def send_email(datasets) do\n    Transport.AdminNotifier.datasets_without_gtfs_rt_related_resources(datasets)\n    |> Transport.Mailer.deliver()\n\n    :ok\n  end\n\n  @doc \"\"\"\n  Find datasets for which we need to do something.\n\n  These datasets have:\n  - > 1 up-to-date GTFS\n  - > 0 gtfs-rt resources\n  - no resource related links set for GTFS-RT resources\n  \"\"\"\n  def relevant_datasets do\n    datasets_with_multiple_gtfs =\n      DB.Dataset.base_query()\n      |> DB.Dataset.join_from_dataset_to_metadata(\n        Enum.map(\n          Transport.ValidatorsSelection.validators_for_feature(:datasets_without_gtfs_rt_related_resouces),\n          & &1.validator_name()\n        )\n      )\n      |> DB.ResourceMetadata.where_up_to_date()\n      |> where([resource: r], r.format == \"GTFS\" and not r.is_community_resource)\n      |> group_by([dataset: d], d.id)\n      |> having([resource: r], count(r.id) > 1)\n      |> select([dataset: d], d.id)\n\n    # Datasets with at least 1 GTFS-RT resource and > 1 up-to-date GTFS\n    dataset_ids_sub =\n      DB.Dataset.base_query()\n      |> DB.Resource.join_dataset_with_resource()\n      |> where(\n        [resource: r],\n        r.format == \"gtfs-rt\" and not r.is_community_resource and r.dataset_id in subquery(datasets_with_multiple_gtfs)\n      )\n      |> group_by([dataset: d], d.id)\n      |> having([resource: r], count(r.id) > 0)\n      |> select([dataset: d], d.id)\n\n    # Datasets missing resource related rows and also part of the previous groups\n    DB.Dataset.base_query()\n    |> DB.Resource.join_dataset_with_resource()\n    |> join(:left, [resource: r], rr in DB.ResourceRelated,\n      on: rr.resource_src_id == r.id and rr.reason == :gtfs_rt_gtfs,\n      as: :resource_related\n    )\n    |> where(\n      [resource: r, resource_related: rr, dataset: d],\n      r.format == \"gtfs-rt\" and is_nil(rr.reason) and d.id in subquery(dataset_ids_sub)\n    )\n    |> distinct(true)\n    |> select([dataset: d], d)\n    |> order_by([dataset: d], asc: d.custom_title)\n    |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/dedupe_history_job.ex",
    "content": "defmodule Transport.Jobs.DedupeHistoryDispatcherJob do\n  @moduledoc \"\"\"\n  Job in charge of dispatching multiple `DedupeHistoryJob`.\n\n  The goal is to remove resources that have been historicized\n  multiple times in a row without changes.\n  \"\"\"\n  use Oban.Worker, tags: [\"history\"]\n  require Logger\n  import Ecto.Query\n  alias DB.{Repo, ResourceHistory}\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    ids = ResourceHistory |> distinct(true) |> select([r], r.datagouv_id) |> Repo.all()\n\n    Logger.info(\"Dispatching #{Enum.count(ids)} DedupeHistoryJob jobs\")\n\n    ids\n    |> Enum.map(fn datagouv_id ->\n      %{datagouv_id: datagouv_id} |> Transport.Jobs.DedupeHistoryJob.new()\n    end)\n    |> Oban.insert_all()\n\n    :ok\n  end\nend\n\ndefmodule Transport.Jobs.DedupeHistoryJob do\n  @moduledoc \"\"\"\n  Job removing duplicates for a specific datagouv_id.\n  \"\"\"\n  use Oban.Worker, unique: [period: {1, :hour}, fields: [:args, :worker]], tags: [\"history\"], max_attempts: 3\n  require Logger\n  import Ecto.Query\n  alias DB.{Repo, ResourceHistory}\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"datagouv_id\" => datagouv_id}}) do\n    objects = ResourceHistory |> where([r], r.datagouv_id == ^datagouv_id) |> order_by(:inserted_at) |> Repo.all()\n\n    if Enum.count(objects) > 1 do\n      to_delete =\n        1..(Enum.count(objects) - 1)\n        |> Enum.filter(&same?(Enum.at(objects, &1), Enum.at(objects, &1 - 1)))\n        |> Enum.map(&Enum.at(objects, &1))\n\n      ids = to_delete |> Enum.map(& &1.id)\n\n      mark_for_deletion(ids)\n      remove_s3_objects(to_delete |> Enum.map(&Map.fetch!(&1.payload, \"filename\")))\n      remove_resource_history_rows(ids)\n    end\n\n    :ok\n  end\n\n  def same?(%ResourceHistory{payload: %{\"content_hash\" => a}}, %ResourceHistory{payload: %{\"content_hash\" => b}}) do\n    a == b\n  end\n\n  def same?(\n        %ResourceHistory{payload: %{\"zip_metadata\" => _}} = r1,\n        %ResourceHistory{payload: %{\"zip_metadata\" => _}} = r2\n      ) do\n    MapSet.equal?(shas(r1), shas(r2))\n  end\n\n  defp mark_for_deletion(ids) do\n    ResourceHistory\n    |> where([r], r.id in ^ids)\n    |> update(set: [payload: fragment(\"jsonb_set(payload, '{mark_for_deletion}', 'true')\")])\n    |> Repo.update_all([])\n  end\n\n  defp remove_resource_history_rows(ids) do\n    ResourceHistory |> where([r], r.id in ^ids) |> Repo.delete_all()\n  end\n\n  defp remove_s3_objects(paths) do\n    paths |> Enum.each(&Transport.S3.delete_object!(:history, &1))\n  end\n\n  defp shas(%ResourceHistory{payload: %{\"zip_metadata\" => zip_metadata}}) do\n    MapSet.new(zip_metadata |> Enum.map(& &1[\"sha256\"]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/default_tokens_job.ex",
    "content": "defmodule Transport.Jobs.DefaultTokensJob do\n  @moduledoc \"\"\"\n  This job is in charge of creating a default token for relevant contacts.\n\n  A default token is created for all members of an organization\n  if the organization has a single token and the contact\n  doesn't have a default token already.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"tokens\"]\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"contact_id\" => contact_id, \"organization_id\" => organization_id}}) do\n    contact = DB.Repo.get!(DB.Contact, contact_id) |> DB.Repo.preload(:default_tokens)\n\n    if contact.default_tokens |> Enum.count() == 1 do\n      {:cancel, \"Contact##{contact_id} already has a default token\"}\n    else\n      token = DB.Repo.get_by!(DB.Token, organization_id: organization_id)\n\n      %DB.DefaultToken{}\n      |> DB.DefaultToken.changeset(%{token_id: token.id, contact_id: contact.id})\n      |> DB.Repo.insert!()\n\n      :ok\n    end\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    orgs_with_single_token =\n      DB.Token.base_query()\n      |> select([token: t], t.organization_id)\n      |> group_by([token: t], t.organization_id)\n      |> having([token: t], count(t.name) == 1)\n\n    contacts_default_token =\n      DB.DefaultToken.base_query()\n      |> select([default_token: dt], dt.contact_id)\n\n    DB.Contact.base_query()\n    |> join(:inner, [contact: c], o in assoc(c, :organizations), as: :organizations)\n    |> where([organizations: o], o.id in subquery(orgs_with_single_token))\n    |> where([contact: c], c.id not in subquery(contacts_default_token))\n    |> select([contact: c, organizations: o], %{\n      contact_id: c.id,\n      organization_id: o.id\n    })\n    |> DB.Repo.all()\n    |> Enum.map(&__MODULE__.new/1)\n    |> Oban.insert_all()\n\n    :ok\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/expiration_notification_job.ex",
    "content": "defmodule Transport.Jobs.ExpirationNotificationJob do\n  @moduledoc \"\"\"\n  This job handles all expiration notifications for GTFS datasets:\n\n  - **Admins**: Receives a single aggregated email with all expiring datasets\n  - **Producers**: Receive individual emails per dataset they own\n  - **Reusers**: Receive a daily digest of their favorited datasets\n\n  ## Architecture\n\n  The job uses a dispatcher pattern with two `perform/1` methods:\n\n  1. **Dispatcher** (`perform(%{})`) - Triggered daily by cron:\n     - Sends admin notification (aggregated email)\n     - Sends producer notifications (per dataset)\n     - Dispatches sub-jobs for reuser digests\n\n  2. **Reuser digest worker** (`perform(%{\"type\" => \"reuser_digest\", ...})`):\n     - Builds and sends personalized digest for a specific contact\n\n  ## Notification delays\n\n  - Producers/Admins: #{inspect(Transport.Expiration.producer_admin_delays())} days\n  - Reusers: #{inspect(Transport.Expiration.reuser_delays())} days\n  \"\"\"\n  use Oban.Worker,\n    max_attempts: 3,\n    tags: [\"notifications\"],\n    # Prevents sending duplicate reuser digests.\n    # The reuser_digest perform/1 uses (type + contact_id + digest_date) as args.\n    unique: [period: {20, :hours}, fields: [:args, :queue, :worker]]\n\n  import Ecto.Query\n  alias Transport.Expiration\n\n  @type delay() :: integer()\n  @type dataset_ids() :: [integer()]\n  @type datasets() :: [DB.Dataset.t()]\n  @type delay_and_records() :: {delay(), [{DB.Dataset.t(), [DB.Resource.t()]}]}\n\n  @notification_reason Transport.NotificationReason.reason(:expiration)\n\n  # ============================================================================\n  # Reuser digest worker\n  # ============================================================================\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{\n        id: job_id,\n        args: %{\"type\" => \"reuser_digest\", \"contact_id\" => contact_id, \"digest_date\" => digest_date}\n      }) do\n    contact = DB.Repo.get!(DB.Contact, contact_id)\n    subscribed_dataset_ids = subscribed_dataset_ids_for_expiration(contact)\n\n    filtered_expiration_data =\n      digest_date\n      |> Date.from_iso8601!()\n      |> gtfs_expiring_on_target_dates()\n      |> Map.new(fn {delay, dataset_ids} ->\n        ids = Enum.filter(dataset_ids, &(&1 in subscribed_dataset_ids))\n        datasets = DB.Dataset.base_query() |> where([dataset: d], d.id in ^ids) |> DB.Repo.all()\n        {delay, datasets}\n      end)\n      |> Map.reject(fn {_delay, datasets} -> Enum.empty?(datasets) end)\n\n    send_reuser_email(contact, reuser_email_body(filtered_expiration_data))\n    save_reuser_notifications(contact, filtered_expiration_data, job_id)\n\n    :ok\n  end\n\n  # ============================================================================\n  # Main dispatcher (triggered daily by cron)\n  # ============================================================================\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{id: job_id, args: args, inserted_at: %DateTime{} = inserted_at})\n      when args in [%{}, nil] do\n    target_date = DateTime.to_date(inserted_at)\n\n    # 1. Send admin and producer notifications\n    send_admin_and_producer_notifications(job_id)\n\n    # 2. Dispatch reuser digest jobs\n    dispatch_reuser_digest_jobs(target_date)\n\n    :ok\n  end\n\n  # ============================================================================\n  # Admin and Producer notifications\n  # ============================================================================\n\n  defp send_admin_and_producer_notifications(job_id) do\n    expiration_data = compute_producer_admin_expiration_data()\n\n    expiration_data\n    |> send_admin_mail()\n    |> Enum.each(&send_producer_notifications(&1, job_id))\n  end\n\n  @spec compute_producer_admin_expiration_data() :: [delay_and_records()]\n  defp compute_producer_admin_expiration_data do\n    for delay <- Expiration.producer_admin_delays(),\n        date = Date.add(Date.utc_today(), delay) do\n      {delay, Expiration.datasets_with_resources_expiring_on(date)}\n    end\n    |> Enum.reject(fn {_, records} -> Enum.empty?(records) end)\n  end\n\n  @spec send_admin_mail([delay_and_records()]) :: [delay_and_records()]\n  defp send_admin_mail([] = records), do: records\n\n  defp send_admin_mail(records) do\n    Transport.AdminNotifier.expiration(records)\n    |> Transport.Mailer.deliver()\n\n    records\n  end\n\n  @spec send_producer_notifications(delay_and_records(), integer()) :: :ok\n  defp send_producer_notifications({delay, records}, job_id) do\n    Enum.each(records, fn {%DB.Dataset{} = dataset, resources} ->\n      @notification_reason\n      |> DB.NotificationSubscription.subscriptions_for_reason_dataset_and_role(dataset, :producer)\n      |> Enum.each(fn %DB.NotificationSubscription{contact: %DB.Contact{} = contact} = subscription ->\n        contact\n        |> Transport.UserNotifier.expiration_producer(dataset, resources, delay)\n        |> Transport.Mailer.deliver()\n\n        DB.Notification.insert!(dataset, subscription, %{delay: delay, job_id: job_id})\n      end)\n    end)\n  end\n\n  # ============================================================================\n  # Reuser digest dispatching\n  # ============================================================================\n\n  defp dispatch_reuser_digest_jobs(%Date{} = target_date) do\n    expiring_gtfs_datasets_data = gtfs_expiring_on_target_dates(target_date)\n    dataset_ids = expiring_gtfs_datasets_data |> Map.values() |> List.flatten()\n\n    DB.Repo.transaction(\n      fn ->\n        dataset_ids\n        |> contact_ids_subscribed_to_dataset_ids()\n        |> Stream.chunk_every(100)\n        |> Stream.each(fn contact_ids -> insert_reuser_digest_jobs(contact_ids, target_date) end)\n        |> Stream.run()\n      end,\n      timeout: :timer.seconds(60)\n    )\n  end\n\n  defp insert_reuser_digest_jobs(contact_ids, %Date{} = target_date) do\n    # Oban caveat: can't use insert_all/2:\n    # > Only the Smart Engine in Oban Pro supports bulk unique jobs and automatic batching.\n    # > With the basic engine, you must use insert/3 for unique support.\n    Enum.each(contact_ids, fn contact_id ->\n      %{\"type\" => \"reuser_digest\", \"contact_id\" => contact_id, \"digest_date\" => target_date}\n      |> new()\n      |> Oban.insert()\n    end)\n  end\n\n  # ============================================================================\n  # Reuser email helpers\n  # ============================================================================\n\n  defp send_reuser_email(%DB.Contact{} = contact, html) do\n    {:ok, _} = Transport.UserNotifier.expiration_reuser(contact, html) |> Transport.Mailer.deliver()\n  end\n\n  @spec save_reuser_notifications(DB.Contact.t(), %{delay() => datasets()}, integer()) :: :ok\n  defp save_reuser_notifications(%DB.Contact{} = contact, delays_and_datasets, job_id) do\n    delays_and_datasets\n    |> Map.values()\n    |> List.flatten()\n    |> Enum.each(fn %DB.Dataset{} = dataset ->\n      subscription =\n        DB.Repo.get_by!(DB.NotificationSubscription,\n          contact_id: contact.id,\n          dataset_id: dataset.id,\n          reason: @notification_reason,\n          role: :reuser\n        )\n\n      DB.Notification.insert!(dataset, %{subscription | contact: contact}, %{job_id: job_id})\n    end)\n  end\n\n  @spec reuser_email_body(%{delay() => datasets()}) :: binary()\n  defp reuser_email_body(records) do\n    records\n    |> Enum.map_join(\"<br/>\", &datasets_body/1)\n    |> String.replace(\"\\n\", \"\")\n  end\n\n  @spec datasets_body({delay(), datasets()}) :: binary()\n  defp datasets_body({delay, datasets}) do\n    \"\"\"\n    <strong>Jeux de données #{Expiration.delay_str(delay)} :</strong>\n    <ul>\n    #{Enum.map_join(datasets, \"<br/>\", &dataset_link/1)}\n    </ul>\n    \"\"\"\n  end\n\n  defp dataset_link(%DB.Dataset{slug: slug, custom_title: custom_title}) do\n    url = TransportWeb.Router.Helpers.dataset_url(TransportWeb.Endpoint, :details, slug)\n    ~s|<li><a href=\"#{url}\">#{custom_title}</a></li>|\n  end\n\n  # ============================================================================\n  # Subscription queries\n  # ============================================================================\n\n  defp subscribed_dataset_ids_for_expiration(%DB.Contact{id: contact_id}) do\n    DB.NotificationSubscription.base_query()\n    |> where(\n      [notification_subscription: ns],\n      ns.contact_id == ^contact_id and ns.role == :reuser and ns.reason == ^@notification_reason\n    )\n    |> select([notification_subscription: ns], ns.dataset_id)\n    |> DB.Repo.all()\n  end\n\n  def contact_ids_subscribed_to_dataset_ids(dataset_ids) do\n    DB.NotificationSubscription.base_query()\n    |> where(\n      [notification_subscription: ns],\n      ns.reason == ^@notification_reason and ns.role == :reuser and ns.dataset_id in ^dataset_ids\n    )\n    |> select([notification_subscription: ns], ns.contact_id)\n    |> DB.Repo.stream()\n  end\n\n  # ============================================================================\n  # Dataset expiration queries (cached for reuser digests)\n  # ============================================================================\n\n  @doc \"\"\"\n  Identify datasets expiring on specific dates for reuser notifications.\n  Uses a cache since this data is needed across multiple async jobs.\n  \"\"\"\n  @spec gtfs_expiring_on_target_dates(Date.t()) :: %{delay() => dataset_ids()}\n  def gtfs_expiring_on_target_dates(%Date{} = reference_date) do\n    Transport.Cache.fetch(\n      to_string(__MODULE__) <> \":gtfs_expiring_on_target_dates:#{reference_date}\",\n      fn -> Expiration.datasets_expiring_by_delay(reference_date, Expiration.reuser_delays()) end,\n      :timer.minutes(10)\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/gbfs_multi_validation_job.ex",
    "content": "defmodule Transport.Jobs.GBFSMultiValidationDispatcherJob do\n  @moduledoc \"\"\"\n  Job in charge of validating multiple GBFS resources.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, queue: :resource_validation, tags: [\"validation\"]\n  alias Transport.Jobs.GBFSMultiValidationJob\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    relevant_resources()\n    |> Enum.map(&(%{resource_id: &1} |> GBFSMultiValidationJob.new()))\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  def relevant_resources do\n    DB.Resource.base_query()\n    |> where([r], r.is_available and r.format == \"gbfs\")\n    |> select([r], r.id)\n    |> DB.Repo.all()\n  end\nend\n\ndefmodule Transport.Jobs.GBFSMultiValidationJob do\n  @moduledoc \"\"\"\n  Job in charge of validating a GBFS resource.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, queue: :resource_validation, tags: [\"validation\"]\n  alias Transport.Validators.GBFSValidator\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"resource_id\" => resource_id}}) do\n    DB.Resource\n    |> DB.Repo.get!(resource_id)\n    |> GBFSValidator.validate_and_save()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/gbfs_operators_notification_job.ex",
    "content": "defmodule Transport.Jobs.GBFSOperatorsNotificationJob do\n  @moduledoc \"\"\"\n  Job in charge of detecting GBFS feeds for which we cannot detect the system operator\n  and sending a notification email to our team.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"notifications\"]\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    relevant_feeds() |> send_email()\n  end\n\n  def relevant_feeds do\n    DB.Resource.base_query()\n    |> where([resource: r], r.is_available and r.format == \"gbfs\")\n    |> DB.Repo.all()\n    |> Enum.filter(fn %DB.Resource{url: url} -> is_nil(Transport.GBFSMetadata.operator(url)) end)\n  end\n\n  def send_email([]), do: :ok\n\n  def send_email(resources) do\n    resources\n    |> Transport.AdminNotifier.unknown_gbfs_operator_feeds()\n    |> Transport.Mailer.deliver()\n\n    :ok\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/geo_data/base.ex",
    "content": "defmodule Transport.Jobs.BaseGeoData do\n  @moduledoc \"\"\"\n  Shared methods for GeoData import jobs.\n\n  Provides methods to import/replace data for:\n  - consolidated datasets which should be replaced when we have a newer resource history\n  - anything else, identified by a slug, which should be replaced everytime\n  \"\"\"\n  require Logger\n\n  @import_timeout :timer.seconds(60)\n  @consolidated_datasets_slugs Transport.ConsolidatedDataset.geo_data_datasets()\n\n  def insert_data(geo_data_import_id, prepare_data_for_insert_fn) do\n    prepare_data_for_insert_fn.(geo_data_import_id)\n    |> Stream.each(&DB.Repo.insert_all(DB.GeoData, &1))\n    |> Stream.run()\n  end\n\n  def insert_data(body, geo_data_import_id, prepare_data_for_insert_fn) do\n    body\n    |> prepare_data_for_insert_fn.(geo_data_import_id)\n    |> Stream.chunk_every(1_000)\n    |> Stream.each(&DB.Repo.insert_all(DB.GeoData, &1))\n    |> Stream.run()\n  end\n\n  defp needs_import?(\n         %DB.ResourceHistory{id: latest_resource_history_id},\n         %DB.GeoDataImport{resource_history_id: resource_history_id}\n       ),\n       do: latest_resource_history_id != resource_history_id\n\n  defp needs_import?(_, nil), do: true\n\n  # For a static resource, associated to a consolidated dataset (BNLC, BNZFE, IRVE etc)\n  # We rely on the relevant `DB.ResourceHistory` to determine if we should replace the data.\n  def import_replace_data(slug, prepare_data_for_insert_fn) when slug in @consolidated_datasets_slugs do\n    %DB.Resource{id: resource_id} = Transport.ConsolidatedDataset.resource(slug)\n    latest_resource_history = DB.ResourceHistory.latest_resource_history(resource_id)\n    current_geo_data_import = DB.Repo.get_by(DB.GeoDataImport, slug: slug)\n\n    if needs_import?(latest_resource_history, current_geo_data_import) do\n      Logger.info(\"New content detected...update content\")\n      perform_import(current_geo_data_import, latest_resource_history, slug, prepare_data_for_insert_fn)\n    end\n\n    :ok\n  end\n\n  # For a non-static resource: we don't rely on a `DB.ResourceHistory` associated to a static\n  # resource to determine if we should replace the data, it should always be replaced.\n  def import_replace_data(slug, prepare_data_for_insert_fn) when is_atom(slug) do\n    current_geo_data_import = DB.Repo.get_by(DB.GeoDataImport, slug: slug)\n\n    Logger.info(\"geo_data for a slug is always replaced… Updating content for #{slug}\")\n    perform_import(current_geo_data_import, slug, prepare_data_for_insert_fn)\n\n    :ok\n  end\n\n  # For a consolidated dataset, we rely on the latest resource history content to perform the import.\n  defp perform_import(\n         current_geo_data_import,\n         %DB.ResourceHistory{id: latest_resource_history_id, payload: %{\"permanent_url\" => permanent_url}},\n         slug,\n         prepare_data_for_insert_fn\n       )\n       when slug in @consolidated_datasets_slugs do\n    DB.Repo.transaction(\n      fn ->\n        unless is_nil(current_geo_data_import) do\n          # Thanks to cascading delete, it will also clean geo_data table corresponding entries\n          current_geo_data_import |> DB.Repo.delete!()\n        end\n\n        %{id: geo_data_import_id} =\n          %DB.GeoDataImport{resource_history_id: latest_resource_history_id, slug: slug} |> DB.Repo.insert!()\n\n        http_client = Transport.Shared.Wrapper.HTTPoison.impl()\n        %HTTPoison.Response{status_code: 200, body: body} = http_client.get!(permanent_url)\n        insert_data(body, geo_data_import_id, prepare_data_for_insert_fn)\n      end,\n      timeout: @import_timeout\n    )\n  end\n\n  defp perform_import(current_geo_data_import, slug, prepare_data_for_insert_fn) when is_atom(slug) do\n    DB.Repo.transaction(\n      fn ->\n        unless is_nil(current_geo_data_import) do\n          # Thanks to cascading delete, it will also clean geo_data table corresponding entries\n          current_geo_data_import |> DB.Repo.delete!()\n        end\n\n        %DB.GeoDataImport{id: geo_data_import_id} = DB.Repo.insert!(%DB.GeoDataImport{slug: slug})\n        insert_data(geo_data_import_id, prepare_data_for_insert_fn)\n      end,\n      timeout: @import_timeout\n    )\n  end\n\n  def prepare_csv_data_for_import(body, prepare_data_fn, opts \\\\ []) do\n    opts = Keyword.validate!(opts, separator_char: ?,, escape_char: ?\", filter_fn: fn _ -> true end)\n    {:ok, stream} = StringIO.open(body)\n\n    stream\n    |> IO.binstream(:line)\n    |> CSV.decode(\n      separator: Keyword.fetch!(opts, :separator_char),\n      escape_character: Keyword.fetch!(opts, :escape_char),\n      headers: true,\n      validate_row_length: true\n    )\n    |> Stream.filter(Keyword.fetch!(opts, :filter_fn))\n    |> Stream.map(fn {:ok, m} -> m end)\n    |> Stream.map(prepare_data_fn)\n  end\n\n  # keep 6 digits for WGS 84, see https://en.wikipedia.org/wiki/Decimal_degrees#Precision\n  def parse_coordinate(s) do\n    s |> string_to_float() |> Float.round(6)\n  end\n\n  # remove spaces (U+0020) and non-break spaces (U+00A0) from the string\n  defp string_to_float(s), do: s |> String.trim() |> String.replace([\" \", \" \"], \"\") |> String.to_float()\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/geo_data/bnlc_to_geo_data.ex",
    "content": "defmodule Transport.Jobs.BNLCToGeoData do\n  @moduledoc \"\"\"\n  Job in charge of taking the content of the BNLC (Base Nationale de Covoiturage) and storing it\n  in the `geo_data` table\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  require Logger\n\n  @impl Oban.Worker\n  def perform(%{}) do\n    Transport.Jobs.BaseGeoData.import_replace_data(:bnlc, &prepare_data_for_insert/2)\n  end\n\n  def prepare_data_for_insert(body, geo_data_import_id) do\n    prepare_data_fn = fn m ->\n      %{\n        geo_data_import_id: geo_data_import_id,\n        geom: %Geo.Point{\n          coordinates:\n            {m[\"Xlong\"] |> Transport.Jobs.BaseGeoData.parse_coordinate(),\n             m[\"Ylat\"] |> Transport.Jobs.BaseGeoData.parse_coordinate()},\n          srid: 4326\n        },\n        payload: m |> Map.drop([\"Xlong\", \"Ylat\"])\n      }\n    end\n\n    Transport.Jobs.BaseGeoData.prepare_csv_data_for_import(body, prepare_data_fn)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/geo_data/gbfs_stations_to_geo_data.ex",
    "content": "defmodule Transport.Jobs.GBFSStationsToGeoData do\n  @moduledoc \"\"\"\n  Job in charge of importing GBFS stations data (docks for bikes usually) to the `geo_data` table.\n\n  It ignores virtual stations and stations with invalid coordinates.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n\n  # The number of workers to run in parallel when fetching GBFS feeds\n  @task_concurrency 5\n  @task_timeout :timer.seconds(15)\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    Transport.Jobs.BaseGeoData.import_replace_data(:gbfs_stations, &prepare_data_for_insert/1)\n  end\n\n  def prepare_data_for_insert(geo_data_import_id) do\n    relevant_gbfs_urls()\n    |> Task.async_stream(\n      fn url -> prepare_stations_data(url, geo_data_import_id) end,\n      max_concurrency: @task_concurrency,\n      on_timeout: :kill_task,\n      timeout: @task_timeout\n    )\n    |> Stream.filter(fn {status, _} -> status == :ok end)\n    |> Stream.map(fn {:ok, value} -> value end)\n  end\n\n  def prepare_stations_data(gbfs_url, geo_data_import_id) do\n    with {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- http_client().get(gbfs_url),\n         {:ok, json} <- Jason.decode(body),\n         {:ok, feed_url} <- {:ok, Transport.GBFSMetadata.feed_url_by_name(json, :station_information)},\n         {:feed_exists, true} <- {:feed_exists, not is_nil(feed_url)},\n         {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- http_client().get(feed_url),\n         {:ok, json} <- Jason.decode(body) do\n      json[\"data\"][\"stations\"]\n      |> Enum.reject(&(virtual_station?(&1) or missing_coordinates?(&1)))\n      |> Enum.map(fn station ->\n        %{\n          geo_data_import_id: geo_data_import_id,\n          geom: %Geo.Point{coordinates: {station[\"lon\"], station[\"lat\"]}, srid: 4326},\n          payload: %{\n            capacity: station[\"capacity\"],\n            name: station_name(station)\n          }\n        }\n      end)\n    else\n      _ -> []\n    end\n  end\n\n  defp virtual_station?(%{\"is_virtual_station\" => true}), do: true\n  defp virtual_station?(%{}), do: false\n\n  defp missing_coordinates?(%{\"lat\" => lat, \"lon\" => lon}) do\n    is_nil(lon) or is_nil(lat)\n  end\n\n  defp missing_coordinates?(%{}), do: true\n\n  # From GBFS 1.1 until 2.3\n  defp station_name(%{\"name\" => name}) when is_binary(name), do: name\n\n  # From GBFS 3.0 onwards\n  defp station_name(%{\"name\" => names}) do\n    names |> hd() |> Map.get(\"text\")\n  end\n\n  @doc \"\"\"\n  Fetches relevant GBFS feeds for which we know they have stations data, based on the metadata we compute.\n  Look at the last week of metadata to prevent potential upstream downtimes/\n  issues while computing metadata on our side.\n  \"\"\"\n  def relevant_gbfs_urls do\n    a_week_ago = DateTime.utc_now() |> DateTime.add(-7, :day)\n\n    DB.ResourceMetadata.base_query()\n    |> join(:inner, [metadata: m], r in DB.Resource, on: r.id == m.resource_id, as: :resource)\n    |> where([resource: r], r.format == \"gbfs\")\n    |> where([metadata: m], m.inserted_at >= ^a_week_ago and fragment(\"?->'types' \\\\? 'stations'\", m.metadata))\n    |> select(\n      [resource: r, metadata: m],\n      last_value(r.url) |> over(partition_by: m.resource_id, order_by: m.resource_id)\n    )\n    |> distinct(true)\n    |> DB.Repo.all()\n  end\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/geo_data/irve_to_geo_data.ex",
    "content": "defmodule Transport.Jobs.IRVEToGeoData do\n  @moduledoc \"\"\"\n  Job in charge of taking the charge stations stored in the Base nationale des Infrastructures de Recharge pour Véhicules Électriques and storing the result in the `geo_data` table.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  require Logger\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    Transport.Jobs.BaseGeoData.import_replace_data(:irve, &prepare_data_for_insert/2)\n  end\n\n  def prepare_data_for_insert(body, geo_data_import_id) do\n    prepare_data_fn = fn m ->\n      %{\n        geo_data_import_id: geo_data_import_id,\n        geom: %Geo.Point{\n          coordinates:\n            {m[\"consolidated_longitude\"] |> Transport.Jobs.BaseGeoData.parse_coordinate(),\n             m[\"consolidated_latitude\"] |> Transport.Jobs.BaseGeoData.parse_coordinate()},\n          srid: 4326\n        },\n        payload: m |> Map.drop([\"consolidated_longitude\", \"consolidated_latitude\", \"coordonnesXY\"])\n      }\n    end\n\n    Transport.Jobs.BaseGeoData.prepare_csv_data_for_import(body, prepare_data_fn)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/geo_data/lez_to_geo_data.ex",
    "content": "defmodule Transport.Jobs.LowEmissionZonesToGeoData do\n  @moduledoc \"\"\"\n  Job in charge of taking the areas of the national low emission zones (ZFE)\n  and storing the result in the `geo_data` table.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n\n  @impl Oban.Worker\n  def perform(%{}) do\n    Transport.Jobs.BaseGeoData.import_replace_data(:zfe, &prepare_data_for_insert/2)\n  end\n\n  def prepare_data_for_insert(body, geo_data_import_id) do\n    body\n    |> Jason.decode!()\n    |> Map.fetch!(\"features\")\n    |> Enum.filter(&filter_dates/1)\n    |> Enum.map(fn %{\"geometry\" => geometry, \"properties\" => properties} ->\n      {:ok, geom} = Geo.JSON.decode(geometry)\n\n      %{\n        geo_data_import_id: geo_data_import_id,\n        geom: %{geom | srid: 4326},\n        payload: properties\n      }\n    end)\n  end\n\n  @doc \"\"\"\n  Keep only records when the area is currently in force according to dates.\n\n  iex> filter_dates(%{\"properties\" => %{\"date_debut\" => \"2000-01-01\", \"date_fin\" => \"2050-01-01\"}})\n  true\n  iex> filter_dates(%{\"properties\" => %{\"date_debut\" => \"1970-01-01\", \"date_fin\" => \"1970-02-01\"}})\n  false\n  iex> filter_dates(%{\"properties\" => %{\"date_debut\" => \"1970-01-01\", \"date_fin\" => nil}})\n  true\n  iex> filter_dates(%{\"properties\" => %{\"date_debut\" => \"2200-01-01\", \"date_fin\" => nil}})\n  false\n  iex> filter_dates(%{\"properties\" => %{\"date_debut\" => \"2200-01-01\"}})\n  false\n  iex> filter_dates(%{\"properties\" => %{}})\n  true\n  \"\"\"\n  def filter_dates(%{\"properties\" => properties}) do\n    case properties do\n      %{\"date_debut\" => date_debut, \"date_fin\" => date_fin}\n      when not is_nil(date_debut) and date_fin not in [nil, \"null\"] ->\n        date_range = Date.range(Date.from_iso8601!(date_debut), Date.from_iso8601!(date_fin))\n        Date.utc_today() in date_range\n\n      %{\"date_debut\" => date_debut} ->\n        Date.compare(Date.utc_today(), Date.from_iso8601!(date_debut)) == :gt\n\n      _ ->\n        true\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/gtfs_diff_job.ex",
    "content": "defmodule Transport.Jobs.GTFSDiff do\n  @moduledoc \"\"\"\n  Job in charge of computing a diff between two GTFS files\n  \"\"\"\n  use Oban.Worker, max_attempts: 1, queue: :on_demand_validation\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args} = job) do\n    Oban.Notifier.notify(Oban, :gossip, %{started: job.id})\n\n    case args do\n      %{\n        \"gtfs_object_1\" => gtfs_object_1,\n        \"gtfs_object_2\" => gtfs_object_2,\n        \"gtfs_original_file_name_1\" => gtfs_original_file_name_1,\n        \"gtfs_original_file_name_2\" => gtfs_original_file_name_2\n      } ->\n        context = %{\n          \"gtfs_original_file_name_1\" => gtfs_original_file_name_1,\n          \"gtfs_original_file_name_2\" => gtfs_original_file_name_2\n        }\n\n        process_s3_objects(job.id, gtfs_object_1, gtfs_object_2, Map.merge(args, %{\"context\" => context}))\n\n      %{\"gtfs_url_1\" => gtfs_url_1, \"gtfs_url_2\" => gtfs_url_2} ->\n        context = %{\n          \"gtfs_url_1\" => gtfs_url_1,\n          \"gtfs_url_2\" => gtfs_url_2\n        }\n\n        process_urls(job.id, gtfs_url_1, gtfs_url_2, Map.merge(args, %{\"context\" => context}))\n    end\n\n    :ok\n  end\n\n  @impl Oban.Worker\n  def timeout(_job), do: :timer.seconds(job_timeout_sec())\n\n  # 30 minutes, in seconds\n  def job_timeout_sec, do: 30 * 60\n\n  defp process_s3_objects(job_id, gtfs_object_1, gtfs_object_2, args) do\n    bucket_name = Transport.S3.bucket_name(:gtfs_diff)\n\n    {:ok, unzip_1} = Transport.Unzip.S3.impl().get_unzip(gtfs_object_1, bucket_name)\n    {:ok, unzip_2} = Transport.Unzip.S3.impl().get_unzip(gtfs_object_2, bucket_name)\n\n    process_diff(job_id, unzip_1, unzip_2, args)\n  after\n    Transport.S3.delete_object!(:gtfs_diff, gtfs_object_1)\n    Transport.S3.delete_object!(:gtfs_diff, gtfs_object_2)\n  end\n\n  defp process_urls(job_id, gtfs_url_1, gtfs_url_2, args) do\n    {:ok, file_1} = download_resource(gtfs_url_1)\n    {:ok, file_2} = download_resource(gtfs_url_2)\n\n    try do\n      {:ok, unzip_1} = unzip_local(file_1)\n      {:ok, unzip_2} = unzip_local(file_2)\n\n      process_diff(job_id, unzip_1, unzip_2, args)\n    after\n      File.rm(file_1)\n      File.rm(file_2)\n    end\n  end\n\n  defp download_resource(url) do\n    file_path = mk_tmp_file()\n    file_stream = File.stream!(file_path)\n\n    req_options = [compressed: false, decode_body: false, receive_timeout: 180_000, into: file_stream]\n\n    case Transport.Req.impl().get(url, req_options) do\n      {:ok, %{status: 200}} ->\n        {:ok, file_path}\n\n      {:ok, %{status: status_code}} ->\n        # NOTE: the file is still on disk at this point\n        {:error, \"Got a non 200 status: #{status_code}\"}\n\n      {:error, error} ->\n        {:error, \"Got an error: #{error |> inspect}\"}\n    end\n  end\n\n  defp mk_tmp_file do\n    System.tmp_dir!() |> Path.join(Ecto.UUID.generate())\n  end\n\n  defp unzip_local(file) do\n    file |> Unzip.LocalFile.open() |> Unzip.new()\n  end\n\n  defp process_diff(job_id, unzip_1, unzip_2, %{\n         \"context\" => context,\n         \"profile\" => profile,\n         \"locale\" => locale\n       }) do\n    notify = fn log_msg ->\n      Oban.Notifier.notify(Oban, :gossip, %{\n        running: job_id,\n        log: log_msg\n      })\n    end\n\n    diff = Transport.GTFSDiff.diff(unzip_1, unzip_2, profile, notify, locale)\n\n    diff_file_name = \"gtfs-diff-#{DateTime.utc_now() |> DateTime.to_unix()}.csv\"\n    filepath = System.tmp_dir!() |> Path.join(diff_file_name)\n\n    try do\n      Transport.GTFSDiff.dump_diff(diff, filepath)\n      Transport.S3.stream_to_s3!(:gtfs_diff, filepath, diff_file_name, acl: :public_read)\n\n      Oban.Notifier.notify(Oban, :gossip, %{\n        complete: job_id,\n        diff_file_url: Transport.S3.permanent_url(:gtfs_diff, diff_file_name),\n        context: context\n      })\n    after\n      File.rm(filepath)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/gtfs_import_stops_job.ex",
    "content": "defmodule Transport.Jobs.GTFSImportStopsJob do\n  @moduledoc \"\"\"\n  A job to import all stops from all active GTFS, and report on that.\n  \"\"\"\n  use Oban.Worker, max_attempts: 1\n  import Ecto.Query\n  require Logger\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{} = job) do\n    # NOTE: at some point deleting DataImport not referenced by active datasets item will be a good idea,\n    # to avoid leaving obsolete stuff in the database.\n    result = {:ok, refresh_all()}\n    Oban.Notifier.notify(Oban, :gossip, %{complete: job.id})\n\n    # for now, just chain view creation/refresh directly\n    Logger.info(\"Creating or refreshing materialized views...\")\n    Transport.GTFSData.create_or_refresh_all_materialized_views()\n    Logger.info(\"Done with refresh...\")\n\n    result\n  end\n\n  def refresh_all do\n    result =\n      active_up_to_date_datasets_resource_history_items()\n      |> refresh()\n\n    batch =\n      %DB.DataImportBatch{summary: %{result: result}}\n      |> DB.Repo.insert!()\n\n    clean_up_stale_imports()\n\n    %{result: result, data_import_batch_id: batch.id}\n  end\n\n  # Doing some cleanup operations:\n  # - remove data imports for deleted resources\n  # - remove data imports for inactive datasets\n  #\n  # This, combined with the existing code in `gtfs_import_stops.ex` to remove\n  # previous data import for same resource history and previous data import\n  # for other resource history for the same resource, should cover most cases.\n  #\n  # To ensure there is only one data import per resource, and no NULL resources,\n  # one can use the following query & verify it returns nothing:\n  #\n  # ```sql\n  # select r.id, count(*) from data_import di\n  # left join resource_history rh on rh.id = di.resource_history_id\n  # left join resource r on r.id = rh.resource_id\n  # group by r.id\n  # having count(*) > 1\n  # ```\n  #\n  # If we need more features in the future, it could be a good idea to instead\n  # import \"all current stuff\" in temporary tables (staging area), then\n  # merge/insert/update/delete in the real tables, to avoid fiddling around too much.\n  #\n  def clean_up_stale_imports do\n    Logger.info(\"Removing DataImports for deleted resources\")\n    query = from(di in DB.DataImport)\n\n    data_import_ids =\n      query\n      |> join(:left, [di], rh in DB.ResourceHistory, on: di.resource_history_id == rh.id)\n      |> join(:left, [di, rh], r in DB.Resource, on: rh.resource_id == r.id)\n      |> where([di, rh, r], is_nil(r.id))\n      |> select([di, rh, r], di.id)\n      |> DB.Repo.all()\n\n    # process in smaller batches to avoid putting to much stress on the database\n    # and also increase the timeout\n    data_import_ids\n    |> Enum.chunk_every(5)\n    |> Enum.each(fn data_import_ids ->\n      query = from(di in DB.DataImport, where: di.id in ^data_import_ids)\n      query |> DB.Repo.delete_all(timeout: 60_000)\n    end)\n\n    Logger.info(\"Removing DataImports for inactive datasets\")\n\n    query = from(di in DB.DataImport)\n\n    data_import_ids =\n      query\n      |> join(:left, [di], rh in DB.ResourceHistory, on: di.resource_history_id == rh.id)\n      |> join(:left, [di, rh], r in DB.Resource, on: rh.resource_id == r.id)\n      |> join(:left, [di, rh, r], d in DB.Dataset, on: r.dataset_id == d.id)\n      |> where([di, rh, r, d], d.is_active == false)\n      |> select([di, rh, r], di.id)\n      |> DB.Repo.all()\n\n    data_import_ids\n    |> Enum.chunk_every(5)\n    |> Enum.each(fn data_import_ids ->\n      query = from(di in DB.DataImport, where: di.id in ^data_import_ids)\n      query |> DB.Repo.delete_all(timeout: 60_000)\n    end)\n  end\n\n  def active_up_to_date_datasets_resource_history_items do\n    DB.Dataset.base_query()\n    |> DB.Dataset.join_from_dataset_to_metadata(\n      Enum.map(Transport.ValidatorsSelection.validators_for_feature(:gtfs_import_stops_job), & &1.validator_name())\n    )\n    |> DB.ResourceMetadata.where_up_to_date()\n    |> where([resource: r], r.format == \"GTFS\")\n    |> select([resource_history: rh], rh)\n    |> DB.Repo.all()\n  end\n\n  def refresh(resource_history_items) do\n    resource_history_items\n    |> Enum.map(fn rh ->\n      Logger.info(\"Processing rh_id=#{rh.id}\")\n\n      common_data = %{\n        resource_history_id: rh.id,\n        resource_id: rh.resource_id\n      }\n\n      try do\n        data_import_id = Transport.GTFSImportStops.import_stops_and_remove_previous(rh.id)\n\n        %{\n          status: :ok,\n          data_import_id: data_import_id\n        }\n        |> Map.merge(common_data)\n      rescue\n        error ->\n          %{\n            status: :error,\n            error: error |> inspect(),\n            error_message: safe_call(fn -> Map.get(error, :message) end, \"unknown\"),\n            error_struct: safe_call(fn -> error.__struct__ |> inspect end, \"unknown\")\n          }\n          |> Map.merge(common_data)\n      end\n    end)\n  end\n\n  def safe_call(cb, default) do\n    cb.()\n  rescue\n    _ -> default\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/gtfs_multi_validation_job.ex",
    "content": "defmodule Transport.Jobs.GTFSValidationJob do\n  @moduledoc \"\"\"\n  Multi validation of all GTFS resources\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, queue: :resource_validation, tags: [\"validation\"]\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args}) do\n    force_validation = args |> Map.get(\"force_validation\", false)\n    only_latest_resource_history = args |> Map.get(\"only_latest_resource_history\", false)\n\n    Transport.Jobs.ResourceHistoryValidationJob.perform(%Oban.Job{\n      args: %{\n        \"format\" => \"GTFS\",\n        \"validator\" => Transport.Validators.GTFSTransport |> to_string(),\n        \"force_validation\" => force_validation,\n        \"only_latest_resource_history\" => only_latest_resource_history\n      }\n    })\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/gtfs_rt_metadata.ex",
    "content": "defmodule Transport.Jobs.GTFSRTMetadataDispatcherJob do\n  @moduledoc \"\"\"\n  Job in charge of:\n  - removing old `DB.ResourceMetadata` for GTFS-RT resources\n  - dispatching multiple `GTFSRTMetadataJob`.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n  alias DB.{Repo, Resource, ResourceMetadata}\n\n  @metadata_max_nb_days 90\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    relevant_resources()\n    |> Enum.map(&(%{resource_id: &1.id} |> Transport.Jobs.GTFSRTMetadataJob.new()))\n    |> Oban.insert_all()\n\n    remove_old_metadata()\n\n    :ok\n  end\n\n  def remove_old_metadata do\n    recent_limit = DateTime.utc_now() |> DateTime.add(-@metadata_max_nb_days, :day)\n\n    ResourceMetadata\n    |> join(:inner, [rm], r in Resource, on: rm.resource_id == r.id and r.format == \"gtfs-rt\")\n    |> where([rm, _r], rm.inserted_at < ^recent_limit)\n    |> select([rm, _r], rm)\n    |> Repo.delete_all()\n  end\n\n  def relevant_resources do\n    DB.Dataset.base_query()\n    |> DB.Resource.join_dataset_with_resource()\n    |> where([resource: r], r.format == \"gtfs-rt\" and r.is_available)\n    |> select([resource: r], r)\n    |> Repo.all()\n  end\nend\n\ndefmodule Transport.Jobs.GTFSRTMetadataJob do\n  @moduledoc \"\"\"\n  Job in charge of keeping track of which entities are present\n  in a GTFS-RT feed.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  require Logger\n  alias DB.{Repo, Resource}\n  alias Transport.GTFSRT\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"resource_id\" => id}}) do\n    resource = Repo.get!(Resource, id)\n\n    resource.url |> GTFSRT.decode_remote_feed() |> process_feed(resource)\n\n    :ok\n  end\n\n  @doc \"\"\"\n  Identifies which entities are present in a feed from a count of entities.\n\n  ## Examples\n\n  iex> present_entities(%{})\n  []\n  iex> present_entities(%{service_alerts: 0, vehicle_positions: 1})\n  [\"vehicle_positions\"]\n  iex> present_entities(%{service_alerts: 2, vehicle_positions: 1})\n  [\"service_alerts\", \"vehicle_positions\"]\n  \"\"\"\n  def present_entities(count_entities) do\n    count_entities\n    |> Map.filter(fn {_, v} -> v > 0 end)\n    |> Enum.map(fn {k, _} -> Atom.to_string(k) end)\n    |> Enum.sort()\n  end\n\n  @spec process_feed({:error, any} | {:ok, TransitRealtime.FeedMessage.t()}, DB.Resource.t()) :: any\n  def process_feed({:ok, %TransitRealtime.FeedMessage{} = feed}, %Resource{id: resource_id}) do\n    count_entities = feed |> GTFSRT.count_entities()\n    feed_timestamp_delay = %{feed_timestamp_delay: feed |> GTFSRT.feed_timestamp_delay()}\n    metadata = Map.merge(count_entities, feed_timestamp_delay)\n\n    %DB.ResourceMetadata{\n      resource_id: resource_id,\n      metadata: metadata,\n      features: present_entities(count_entities)\n    }\n    |> Repo.insert!()\n  end\n\n  def process_feed({:error, _}, %Resource{id: id}) do\n    Logger.error(\"Cannot decode GTFS-RT feed for resource##{id}\")\n  end\n\n  def days_to_keep, do: 7\n\n  def datetime_limit, do: DateTime.utc_now() |> DateTime.add(-days_to_keep() * 24 * 60 * 60)\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/gtfs_rt_multi_validation_job.ex",
    "content": "defmodule Transport.Jobs.GTFSRTMultiValidationDispatcherJob do\n  @moduledoc \"\"\"\n  Job in charge of dispatching multiple `GTFSRTMultiValidationJob`.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, queue: :resource_validation, tags: [\"validation\"]\n  import Ecto.Query\n  alias DB.{Repo, Resource}\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    relevant_datasets()\n    |> Enum.map(&(%{dataset_id: &1.id} |> Transport.Jobs.GTFSRTMultiValidationJob.new()))\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  @doc \"\"\"\n  Identifies datasets with at least 1 available GTFS-RT resource.\n  The GTFS-RT validator will be responsible to determine if the dataset can be validated,\n  based on the number of up-to-date GTFS and related resources.\n  \"\"\"\n  def relevant_datasets do\n    DB.Dataset.base_query()\n    |> join(:inner, [d], r in Resource, on: r.dataset_id == d.id)\n    |> where([_d, r], r.format == \"gtfs-rt\" and r.is_available)\n    |> distinct(true)\n    |> Repo.all()\n  end\nend\n\ndefmodule Transport.Jobs.GTFSRTMultiValidationJob do\n  @moduledoc \"\"\"\n  Job validating gtfs-rt resources and saving validation\n  results.\n  \"\"\"\n  use Oban.Worker, max_attempts: 5, queue: :resource_validation, tags: [\"validation\"]\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"dataset_id\" => dataset_id}}) do\n    Transport.Validators.GTFSRT.validate_and_save(DB.Repo.get!(DB.Dataset, dataset_id))\n  end\n\n  def perform(%Oban.Job{args: %{\"resource_id\" => resource_id}}) do\n    Transport.Validators.GTFSRT.validate_and_save(DB.Repo.get!(DB.Resource, resource_id))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/gtfs_to_db.ex",
    "content": "defmodule Transport.Jobs.GtfsToDB do\n  @moduledoc \"\"\"\n  Get the content of a GTFS ResourceHistory, store it in the DB\n  \"\"\"\n\n  alias Transport.GTFS.Utils\n\n  def import_gtfs_from_resource_history(resource_history_id) do\n    %{id: data_import_id} = %DB.DataImport{resource_history_id: resource_history_id} |> DB.Repo.insert!()\n\n    fill_stops_from_resource_history(resource_history_id, data_import_id)\n    fill_stop_times_from_resource_history(resource_history_id, data_import_id)\n    fill_calendar_from_resource_history(resource_history_id, data_import_id)\n    fill_calendar_dates_from_resource_history(resource_history_id, data_import_id)\n    fill_trips_from_resource_history(resource_history_id, data_import_id)\n    fill_agency_from_resource_history(resource_history_id, data_import_id)\n  end\n\n  def import_gtfs_from_resource_history(resource_history_id, :stops_and_agencies) do\n    %{id: data_import_id} = %DB.DataImport{resource_history_id: resource_history_id} |> DB.Repo.insert!()\n    fill_stops_from_resource_history(resource_history_id, data_import_id)\n    fill_agency_from_resource_history(resource_history_id, data_import_id)\n    data_import_id\n  end\n\n  def file_stream(resource_history_id, gtfs_file_name) do\n    %{payload: %{\"filename\" => filename}} = DB.ResourceHistory |> DB.Repo.get!(resource_history_id)\n    bucket_name = Transport.S3.bucket_name(:history)\n    Transport.Unzip.S3.impl().get_file_stream(gtfs_file_name, filename, bucket_name)\n  end\n\n  def fill_stops_from_resource_history(resource_history_id, data_import_id) do\n    file_stream = file_stream(resource_history_id, \"stops.txt\")\n    stops_stream_insert(file_stream, data_import_id)\n  end\n\n  def stops_stream_insert(file_stream, data_import_id) do\n    DB.Repo.transaction(fn ->\n      file_stream\n      |> Utils.to_stream_of_maps()\n      # the map is reshaped for Ecto's needs\n      |> Stream.map(fn r ->\n        %{\n          data_import_id: data_import_id,\n          stop_id: r |> Map.fetch!(\"stop_id\"),\n          stop_name: r |> Map.fetch!(\"stop_name\"),\n          stop_lat: r |> Utils.get_position(\"stop_lat\"),\n          stop_lon: r |> Utils.get_position(\"stop_lon\"),\n          location_type: r |> Utils.csv_get_with_default!(\"location_type\", \"0\", false) |> String.to_integer()\n        }\n      end)\n      |> Stream.chunk_every(1_000)\n      |> Stream.each(fn chunk -> DB.Repo.insert_all(DB.GTFS.Stops, chunk) end)\n      |> Stream.run()\n    end)\n  end\n\n  def fill_calendar_from_resource_history(resource_history_id, data_import_id) do\n    file_stream = file_stream(resource_history_id, \"calendar.txt\")\n    calendar_stream_insert(file_stream, data_import_id)\n  end\n\n  def calendar_stream_insert(file_stream, data_import_id) do\n    DB.Repo.transaction(fn ->\n      file_stream\n      |> Utils.to_stream_of_maps()\n      |> Stream.map(fn r ->\n        res = %{\n          data_import_id: data_import_id,\n          service_id: r |> Map.fetch!(\"service_id\"),\n          monday: monday = r |> Map.fetch!(\"monday\") |> String.to_integer(),\n          tuesday: tuesday = r |> Map.fetch!(\"tuesday\") |> String.to_integer(),\n          wednesday: wednesday = r |> Map.fetch!(\"wednesday\") |> String.to_integer(),\n          thursday: thursday = r |> Map.fetch!(\"thursday\") |> String.to_integer(),\n          friday: friday = r |> Map.fetch!(\"friday\") |> String.to_integer(),\n          saturday: saturday = r |> Map.fetch!(\"saturday\") |> String.to_integer(),\n          sunday: sunday = r |> Map.fetch!(\"sunday\") |> String.to_integer(),\n          start_date: r |> Map.fetch!(\"start_date\") |> TimeWrapper.parse!(\"{YYYY}{0M}{0D}\") |> NaiveDateTime.to_date(),\n          end_date: r |> Map.fetch!(\"end_date\") |> TimeWrapper.parse!(\"{YYYY}{0M}{0D}\") |> NaiveDateTime.to_date()\n        }\n\n        res\n        |> Map.put(:days, get_dow_array([monday, tuesday, wednesday, thursday, friday, saturday, sunday]))\n      end)\n      |> Stream.chunk_every(1_000)\n      |> Stream.each(fn chunk -> DB.Repo.insert_all(DB.GTFS.Calendar, chunk) end)\n      |> Stream.run()\n    end)\n  end\n\n  @doc \"\"\"\n   Takes values (0 or 1) for each day, return an array with the days of weeks having their value equal to 1\n\n   iex> get_dow_array([1,0,1,0,0,0,1])\n   [1,3,7]\n  \"\"\"\n  def get_dow_array([_monday, _tuesday, _wednesday, _thursday, _friday, _saturday, _sunday] = dows) do\n    dows\n    |> Enum.with_index()\n    |> Enum.filter(&(elem(&1, 0) == 1))\n    |> Enum.map(&(elem(&1, 1) + 1))\n  end\n\n  def fill_stop_times_from_resource_history(resource_history_id, data_import_id) do\n    file_stream = file_stream(resource_history_id, \"stop_times.txt\")\n    stop_times_stream_insert(file_stream, data_import_id)\n  end\n\n  def stop_times_stream_insert(file_stream, data_import_id) do\n    DB.Repo.transaction(\n      fn ->\n        file_stream\n        |> Utils.to_stream_of_maps()\n        |> Stream.map(fn r ->\n          %{\n            data_import_id: data_import_id,\n            trip_id: r |> Map.fetch!(\"trip_id\"),\n            arrival_time: r |> Map.fetch!(\"arrival_time\") |> cast_binary_to_interval(),\n            departure_time: r |> Map.fetch!(\"departure_time\") |> cast_binary_to_interval(),\n            stop_id: r |> Map.fetch!(\"stop_id\"),\n            stop_sequence: r |> Map.fetch!(\"stop_sequence\") |> String.to_integer()\n          }\n        end)\n        |> Stream.chunk_every(1_000)\n        |> Stream.each(fn chunk -> DB.Repo.insert_all(DB.GTFS.StopTimes, chunk) end)\n        |> Stream.run()\n      end,\n      timeout: 240_000\n    )\n  end\n\n  @doc \"\"\"\n   Parse a binary containing a GTFS style time, and convert it to a struct ready to be inserted as an interval in the DB.\n   According to the doc, \"HH:MM:SS format (H:MM:SS is also accepted)\"\n   https://developers.google.com/transit/gtfs/reference#field_types\n\n   iex> cast_binary_to_interval(\"01:02:03\")\n   %{secs: 3723, days: 0, months: 0}\n   iex> cast_binary_to_interval(\"1:02:04\")\n   %{secs: 3724, days: 0, months: 0}\n  \"\"\"\n  def cast_binary_to_interval(s) do\n    %{\"hours\" => hours, \"minutes\" => minutes, \"seconds\" => seconds} =\n      Regex.named_captures(~r/(?<hours>[0-9]+):(?<minutes>[0-9]+):(?<seconds>[0-9]+)/, s)\n\n    hours = hours |> String.to_integer()\n    minutes = minutes |> String.to_integer()\n    seconds = seconds |> String.to_integer()\n\n    # this is what EctoInterval is able to cast into a Postgrex.Interval\n    %{\n      secs: hours * 60 * 60 + minutes * 60 + seconds,\n      days: 0,\n      months: 0\n    }\n  end\n\n  def fill_calendar_dates_from_resource_history(resource_history_id, data_import_id) do\n    file_stream = file_stream(resource_history_id, \"calendar_dates.txt\")\n    calendar_dates_stream_insert(file_stream, data_import_id)\n  end\n\n  def calendar_dates_stream_insert(file_stream, data_import_id) do\n    DB.Repo.transaction(\n      fn ->\n        file_stream\n        |> Utils.to_stream_of_maps()\n        |> Stream.map(fn r ->\n          %{\n            data_import_id: data_import_id,\n            service_id: r |> Map.fetch!(\"service_id\"),\n            date: r |> Map.fetch!(\"date\") |> TimeWrapper.parse!(\"{YYYY}{0M}{0D}\") |> NaiveDateTime.to_date(),\n            exception_type: r |> Map.fetch!(\"exception_type\") |> String.to_integer()\n          }\n        end)\n        |> Stream.chunk_every(1_000)\n        |> Stream.each(fn chunk -> DB.Repo.insert_all(DB.GTFS.CalendarDates, chunk) end)\n        |> Stream.run()\n      end,\n      timeout: 240_000\n    )\n  end\n\n  def fill_trips_from_resource_history(resource_history_id, data_import_id) do\n    file_stream = file_stream(resource_history_id, \"trips.txt\")\n    trips_stream_insert(file_stream, data_import_id)\n  end\n\n  def trips_stream_insert(file_stream, data_import_id) do\n    DB.Repo.transaction(\n      fn ->\n        file_stream\n        |> Utils.to_stream_of_maps()\n        |> Stream.map(fn r ->\n          %{\n            data_import_id: data_import_id,\n            service_id: r |> Map.fetch!(\"service_id\"),\n            route_id: r |> Map.fetch!(\"route_id\"),\n            trip_id: r |> Map.fetch!(\"trip_id\")\n          }\n        end)\n        |> Stream.chunk_every(1_000)\n        |> Stream.each(fn chunk -> DB.Repo.insert_all(DB.GTFS.Trips, chunk) end)\n        |> Stream.run()\n      end,\n      timeout: 240_000\n    )\n  end\n\n  def fill_agency_from_resource_history(resource_history_id, data_import_id) do\n    file_stream = file_stream(resource_history_id, \"agency.txt\")\n    agency_stream_insert(file_stream, data_import_id)\n  end\n\n  def agency_stream_insert(file_stream, data_import_id) do\n    DB.Repo.transaction(fn ->\n      file_stream\n      |> Utils.to_stream_of_maps()\n      |> Stream.map(fn r ->\n        %{\n          data_import_id: data_import_id,\n          agency_id: r |> Map.fetch!(\"agency_id\"),\n          agency_name: r |> Map.fetch!(\"agency_name\"),\n          agency_url: r |> Map.fetch!(\"agency_url\"),\n          agency_timezone: r |> Map.fetch!(\"agency_timezone\"),\n          agency_lang: r |> Utils.csv_get_with_default(\"agency_lang\", nil),\n          agency_phone: r |> Utils.csv_get_with_default(\"agency_phone\", nil),\n          agency_fare_url: r |> Utils.csv_get_with_default(\"agency_fare_url\", nil),\n          agency_email: r |> Utils.csv_get_with_default(\"agency_email\", nil),\n          cemv_support: r |> Utils.csv_get_with_default(\"cemv_support\", \"0\") |> String.to_integer()\n        }\n      end)\n      |> Stream.chunk_every(1_000)\n      |> Stream.each(fn chunk -> DB.Repo.insert_all(DB.GTFS.Agency, chunk) end)\n      |> Stream.run()\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/import_companies_job.ex",
    "content": "defmodule Transport.Jobs.ImportCompaniesJob do\n  @moduledoc \"\"\"\n  Imports or updates `DB.Company` records from the \"Recherche d'entreprises API\"\n  for every distinct SIREN found in `DB.Dataset.legal_owner_company_siren`.\n\n  The API has a rate limit of 7 requests per second.\n  The orchestrator schedules individual worker jobs spread over time to stay within\n  this limit: at most 7 jobs are scheduled per second using `schedule_in: div(index, 7)`.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n  require Logger\n\n  @rate_limit 7\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args}) when is_nil(args) or args == %{} do\n    sirens()\n    |> Enum.with_index()\n    |> Enum.map(fn {siren, index} ->\n      new(%{siren: siren}, schedule_in: div(index, @rate_limit))\n    end)\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"siren\" => siren}}) do\n    case Transport.Companies.by_siren(siren) do\n      {:ok, result} ->\n        upsert!(siren, result)\n\n      {:error, reason} ->\n        Logger.warning(\"#{inspect(__MODULE__)} could not fetch SIREN #{siren}: #{inspect(reason)}\")\n    end\n\n    :ok\n  end\n\n  @doc \"\"\"\n  Returns distinct valid SIRENs from datasets.\n  \"\"\"\n  def sirens do\n    DB.Dataset.base_query()\n    |> where([dataset: d], not is_nil(d.legal_owner_company_siren))\n    |> select([dataset: d], d.legal_owner_company_siren)\n    |> distinct(true)\n    |> DB.Repo.all()\n    |> Enum.filter(&Transport.Companies.is_valid_siren?/1)\n  end\n\n  defp parse_date(nil), do: nil\n  defp parse_date(value), do: datetime_to_date(value)\n\n  defp datetime_to_date(dt_string) when is_binary(dt_string) do\n    {:ok, dt, 0} = \"#{String.trim_trailing(dt_string, \"Z\")}Z\" |> DateTime.from_iso8601()\n    DateTime.to_date(dt)\n  end\n\n  defp parse_float(nil), do: nil\n  defp parse_float(value), do: String.to_float(value)\n\n  defp upsert!(siren, result) do\n    attrs = %{\n      siren: siren,\n      nom_complet: result[\"nom_complet\"],\n      nom_raison_sociale: result[\"nom_raison_sociale\"],\n      sigle: result[\"sigle\"],\n      date_mise_a_jour_rne: parse_date(result[\"date_mise_a_jour_rne\"]),\n      siege_adresse: get_in(result, [\"siege\", \"adresse\"]),\n      siege_latitude: parse_float(get_in(result, [\"siege\", \"latitude\"])),\n      siege_longitude: parse_float(get_in(result, [\"siege\", \"longitude\"])),\n      collectivite_territoriale: get_in(result, [\"complements\", \"collectivite_territoriale\"]),\n      est_service_public: get_in(result, [\"complements\", \"est_service_public\"])\n    }\n\n    (DB.Repo.get(DB.Company, siren) || %DB.Company{})\n    |> DB.Company.changeset(attrs)\n    |> DB.Repo.insert_or_update!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/import_dataset_contact_points_job.ex",
    "content": "defmodule Transport.Jobs.ImportDatasetContactPointsJob do\n  @moduledoc \"\"\"\n  Import dataset contact points coming from the data.gouv.fr's API.\n\n  Producers can specify contact points for a dataset on their open data\n  platform or directly on data.gouv.fr.\n\n  We reuse this data to find or create contacts and subscribe these contacts\n  to producer subscriptions for this dataset.\n\n  When a contact point was previously set and has been removed,\n  we delete old subscriptions.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n  require Logger\n\n  # The number of workers to run in parallel\n  @task_concurrency 5\n  # The source when creating a contact\n  @contact_source :\"automation:import_contact_point\"\n  # The notification subscription source when creating/deleting subscriptions\n  @notification_subscription_source \"automation:import_contact_point\"\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    dataset_datagouv_ids()\n    |> Task.async_stream(\n      &import_contact_point/1,\n      max_concurrency: @task_concurrency,\n      on_timeout: :kill_task,\n      timeout: 10_000\n    )\n    |> Stream.run()\n  end\n\n  def dataset_datagouv_ids do\n    DB.Dataset.base_query() |> select([dataset: d], d.datagouv_id) |> DB.Repo.all()\n  end\n\n  def import_contact_point(datagouv_id) do\n    dataset = DB.Repo.get_by!(DB.Dataset, datagouv_id: datagouv_id)\n\n    case Datagouvfr.Client.Datasets.get(datagouv_id) do\n      {:ok, %{\"contact_points\" => contact_points}} ->\n        update_contact_points(dataset, contact_points)\n\n      other ->\n        Logger.error(\"#{inspect(__MODULE__)} unexpected HTTP response for dataset##{datagouv_id}: #{inspect(other)}\")\n    end\n  end\n\n  @doc \"\"\"\n  iex> guess_identity(\"John DOE\")\n  %{first_name: \"John\", last_name: \"DOE\", mailing_list_title: nil}\n  iex> guess_identity(\"DOE John\")\n  %{first_name: \"John\", last_name: \"DOE\", mailing_list_title: nil}\n  iex> guess_identity(\"John Doe\")\n  %{first_name: \"John\", last_name: \"Doe\", mailing_list_title: nil}\n  iex> guess_identity(\"Service géomatique open data\")\n  %{first_name: nil, last_name: nil, mailing_list_title: \"Service géomatique open data\"}\n  iex> guess_identity(\"\")\n  %{first_name: nil, last_name: nil, mailing_list_title: \"Inconnu\"}\n  \"\"\"\n  @spec guess_identity(binary() | nil) :: %{\n          first_name: binary() | nil,\n          last_name: binary() | nil,\n          mailing_list_title: binary() | nil\n        }\n  def guess_identity(name) do\n    cond do\n      private_individual?(name) ->\n        guess_first_and_last_name(name) |> Map.put(:mailing_list_title, nil)\n\n      name not in [\"\", nil] ->\n        %{first_name: nil, last_name: nil, mailing_list_title: name}\n\n      true ->\n        %{first_name: nil, last_name: nil, mailing_list_title: \"Inconnu\"}\n    end\n  end\n\n  defp update_contact_points(%DB.Dataset{id: dataset_id}, []) do\n    DB.NotificationSubscription.base_query()\n    |> where(\n      [notification_subscription: ns],\n      ns.dataset_id == ^dataset_id and ns.role == :producer and ns.source == ^@notification_subscription_source\n    )\n    |> DB.Repo.delete_all()\n  end\n\n  defp update_contact_points(%DB.Dataset{} = dataset, contact_points) do\n    contacts = Enum.map(contact_points, &update_contact_point(dataset, &1))\n    contact_ids = contacts |> Enum.reject(&is_nil/1) |> Enum.map(& &1.id)\n\n    DB.NotificationSubscription.delete_other_producers_subscriptions(\n      dataset,\n      contact_ids,\n      @notification_subscription_source\n    )\n  end\n\n  defp update_contact_point(%DB.Dataset{} = _dataset, %{\"email\" => nil} = _contact_point) do\n    nil\n  end\n\n  defp update_contact_point(%DB.Dataset{} = dataset, %{\"email\" => _, \"name\" => _} = contact_point) do\n    contact = find_or_create_contact(contact_point)\n    DB.NotificationSubscription.create_producer_subscriptions(dataset, contact, @notification_subscription_source)\n    contact\n  end\n\n  defp find_or_create_contact(%{\"email\" => email, \"name\" => name}) do\n    case DB.Repo.get_by(DB.Contact, email_hash: String.downcase(email)) do\n      %DB.Contact{} = contact ->\n        contact\n\n      nil ->\n        Map.merge(guess_identity(name), %{email: email, creation_source: @contact_source})\n        |> DB.Contact.insert!()\n    end\n  end\n\n  defp private_individual?(nil), do: false\n\n  defp private_individual?(name) do\n    String.split(name, \" \") |> Enum.count() == 2\n  end\n\n  defp guess_first_and_last_name(name) do\n    [first, second] = values = String.split(name, \" \")\n\n    case Enum.map(values, &upcase?/1) do\n      [false, true] ->\n        %{first_name: first, last_name: second}\n\n      [true, false] ->\n        %{first_name: second, last_name: first}\n\n      _ ->\n        %{first_name: first, last_name: second}\n    end\n  end\n\n  defp upcase?(value), do: value == String.upcase(value)\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/import_dataset_follower_reuser_improved_data_job.ex",
    "content": "defmodule Transport.Jobs.ImportDatasetFollowerReuserImprovedDataJob do\n  @moduledoc \"\"\"\n  As part of the reuser improved data pilot, this job adds specific datasets\n  to the favorites list for users in participating organizations.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    dataset_ids_to_follow = relevant_dataset_ids()\n\n    Enum.each(relevant_contacts(), fn %DB.Contact{followed_datasets: followed_datasets} = contact ->\n      followed_dataset_ids = Enum.map(followed_datasets, & &1.id)\n\n      dataset_ids_to_follow\n      |> Enum.reject(&(&1 in followed_dataset_ids))\n      |> Enum.each(fn dataset_id ->\n        DB.DatasetFollower.follow!(contact, %DB.Dataset{id: dataset_id}, source: :improved_data_pilot)\n      end)\n    end)\n  end\n\n  def relevant_contacts do\n    dataset_query = from(d in DB.Dataset, select: [:id])\n    org_ids = Application.fetch_env!(:transport, :data_sharing_pilot_eligible_datagouv_organization_ids)\n\n    DB.Contact.base_query()\n    |> preload(followed_datasets: ^dataset_query)\n    |> join(:inner, [contact: c], o in assoc(c, :organizations), as: :organization)\n    |> where([organization: o], o.id in ^org_ids)\n    |> select([contact: c], c)\n    |> DB.Repo.all()\n  end\n\n  def relevant_dataset_ids do\n    DB.Dataset.base_query()\n    |> where([dataset: d], d.type == \"public-transit\")\n    |> DB.Dataset.filter_by_custom_tag(Application.fetch_env!(:transport, :data_sharing_pilot_dataset_custom_tag))\n    |> select([dataset: d], d.id)\n    |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/import_dataset_followers_job.ex",
    "content": "defmodule Transport.Jobs.ImportDatasetFollowersJob do\n  @moduledoc \"\"\"\n  Import dataset followers coming from the data.gouv.fr's API.\n\n  We *do not* create rows when a contact is a producer of a dataset\n  (ie member of its organization) and the contact follows the dataset.\n\n  We clean up contacts following datasets for which they are a producer\n  at the beginning of the job to handle:\n  - contacts joining organizations\n  - previous bad states.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n  require Logger\n\n  # The number of workers to run in parallel when importing followers\n  @task_concurrency 5\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    delete_producers_following_their_datasets()\n\n    DB.Dataset.base_query()\n    |> DB.Repo.all()\n    |> Task.async_stream(\n      &import_dataset_followers/1,\n      max_concurrency: @task_concurrency,\n      on_timeout: :kill_task,\n      timeout: 10_000\n    )\n    |> Stream.run()\n  end\n\n  def delete_producers_following_their_datasets do\n    DB.DatasetFollower.base_query()\n    |> join(:inner, [dataset_follower: df], c in assoc(df, :contact), as: :contact)\n    |> join(:inner, [contact: c], c in assoc(c, :organizations), as: :organization)\n    |> join(:inner, [dataset_follower: df, contact: c, organization: o], d in assoc(df, :dataset),\n      on: d.organization_id == o.id,\n      as: :dataset\n    )\n    |> DB.Repo.delete_all()\n  end\n\n  def import_dataset_followers(%DB.Dataset{id: dataset_id, datagouv_id: datagouv_id} = dataset) do\n    case Datagouvfr.Client.Datasets.get_followers(datagouv_id) do\n      {:ok, %{\"data\" => data, \"next_page\" => next_page}} ->\n        # Pagination is not implemented yet (and shouldn't be needed soon as page_size is 500).\n        # We want to know when we need to implement it.\n        unless is_nil(next_page) do\n          Sentry.capture_message(\"#{__MODULE__}: should iterate to get all followers for Dataset##{datagouv_id}\")\n        end\n\n        datagouv_user_ids = Enum.map(data, & &1[\"follower\"][\"id\"])\n\n        contact_details()\n        |> Map.take(datagouv_user_ids)\n        |> Enum.reject(&contact_is_producer?(&1, dataset))\n        |> Enum.each(fn {_, %{contact_id: contact_id}} ->\n          %DB.DatasetFollower{}\n          |> DB.DatasetFollower.changeset(%{contact_id: contact_id, dataset_id: dataset_id, source: :datagouv})\n          |> DB.Repo.insert!(\n            conflict_target: [:dataset_id, :contact_id],\n            on_conflict: :nothing\n          )\n        end)\n\n      response ->\n        Logger.info(\"Followers not found for Dataset##{datagouv_id}: #{inspect(response)}\")\n    end\n  end\n\n  def contact_is_producer?({_, %{organization_ids: contact_org_ids}}, %DB.Dataset{organization_id: dataset_org_id}) do\n    dataset_org_id in contact_org_ids\n  end\n\n  @doc \"\"\"\n  Fetches all contact IDs, datagouv user IDs and their organization IDs for `DB.Contact`.\n\n  Caches the result since it's pretty stable and it needs to be used by\n  every worker, for every datasets.\n  \"\"\"\n  @spec contact_details() :: %{\n          binary() => %{contact_id: integer(), datagouv_user_id: binary(), organization_ids: [binary() | nil]}\n        }\n  def contact_details do\n    Transport.Cache.fetch(\n      \"#{__MODULE__}:contact_details\",\n      fn ->\n        DB.Contact.base_query()\n        |> join(:left, [contact: c], o in assoc(c, :organizations), as: :organization)\n        |> where([contact: c], not is_nil(c.datagouv_user_id))\n        |> select([contact: c, organization: o], %{\n          contact_id: c.id,\n          datagouv_user_id: c.datagouv_user_id,\n          organization_ids: fragment(\"array_agg(?)\", o.id)\n        })\n        |> group_by([contact: c], [c.id, c.datagouv_user_id])\n        |> DB.Repo.all()\n        |> Map.new(&{&1.datagouv_user_id, &1})\n      end,\n      :timer.seconds(60)\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/import_dataset_monthly_metrics_job.ex",
    "content": "defmodule Transport.Jobs.ImportDatasetMonthlyMetricsJob do\n  @moduledoc \"\"\"\n  Import monthly metrics related to datasets coming from the data.gouv.fr's API.\n\n  This job is executed daily and imports metrics for all datasets.\n  If dataset metrics have not been imported previously, we well fetch metrics for the last 2 years.\n  Otherwise we will fetch metrics only for the last 3 months.\n\n  Records are not supposed to change in the past, except for the current month.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n\n  # The number of workers to run in parallel when importing metrics\n  @task_concurrency 5\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    dataset_datagouv_ids()\n    |> Task.async_stream(\n      fn datagouv_id -> Transport.Jobs.ImportMonthlyMetrics.import_metrics(:dataset, datagouv_id) end,\n      max_concurrency: @task_concurrency,\n      on_timeout: :kill_task,\n      timeout: 10_000\n    )\n    |> Stream.run()\n  end\n\n  def dataset_datagouv_ids do\n    DB.Dataset.base_query() |> select([dataset: d], d.datagouv_id) |> DB.Repo.all()\n  end\nend\n\ndefmodule Transport.Jobs.ImportMonthlyMetrics do\n  @moduledoc \"\"\"\n  Shared methods to import monthly metrics from the data.gouv.fr's API.\n  \"\"\"\n  require Logger\n  import Ecto.Query\n\n  # Maximum number of months to fetch for each model\n  # 12*2 = 24 months\n  @nb_records 12 * 2\n\n  @doc \"\"\"\n  iex> api_url(:dataset, \"datagouv_id\", page_size: 24)\n  \"https://metric-api.data.gouv.fr/api/datasets/data/?dataset_id__exact=datagouv_id&page_size=24&metric_month__sort=desc\"\n  iex> api_url(:resource, \"datagouv_id\", page_size: 5)\n  \"https://metric-api.data.gouv.fr/api/resources/data/?resource_id__exact=datagouv_id&page_size=5&metric_month__sort=desc\"\n  \"\"\"\n  def api_url(model_name, datagouv_id, page_size: page_size) when model_name in [:dataset, :resource] do\n    model_name\n    |> api_base_url()\n    |> URI.append_query(api_args(model_name, datagouv_id: datagouv_id, page_size: page_size))\n    |> URI.to_string()\n  end\n\n  def import_metrics(model_name, datagouv_id) when model_name in [:dataset, :resource] do\n    # If we already imported metrics for this model, fetch only the last 3 months\n    url =\n      if already_imported?(model_name, datagouv_id) do\n        api_url(model_name, datagouv_id, page_size: 3)\n      else\n        api_url(model_name, datagouv_id, page_size: @nb_records)\n      end\n\n    case http_client().get(url, []) do\n      {:ok, %Req.Response{status: 200, body: body}} ->\n        body\n        |> Map.fetch!(\"data\")\n        |> Enum.each(fn data -> insert_or_update(model_name, datagouv_id, data) end)\n\n      other ->\n        Logger.error(\n          \"metric-api.data.gouv.fr unexpected HTTP response for #{model_name}##{datagouv_id}: #{inspect(other)}\"\n        )\n    end\n  end\n\n  def already_imported?(:dataset, datagouv_id) do\n    DB.DatasetMonthlyMetric |> where([d], d.dataset_datagouv_id == ^datagouv_id) |> DB.Repo.exists?()\n  end\n\n  def already_imported?(:resource, datagouv_id) do\n    DB.ResourceMonthlyMetric |> where([d], d.resource_datagouv_id == ^datagouv_id) |> DB.Repo.exists?()\n  end\n\n  defp insert_or_update(model_name, datagouv_id, %{\"metric_month\" => metric_month} = data)\n       when model_name in [:dataset, :resource] do\n    model_name\n    |> metrics_for_model(data)\n    |> Enum.each(fn {metric_name, count} ->\n      count = count || 0\n\n      model_name\n      |> changeset(\n        %{\n          datagouv_id: datagouv_id,\n          year_month: metric_month,\n          metric_name: metric_name,\n          count: count\n        },\n        data\n      )\n      |> DB.Repo.insert!(\n        conflict_target: [String.to_existing_atom(\"#{model_name}_datagouv_id\"), :year_month, :metric_name],\n        on_conflict: [set: [count: count, updated_at: DateTime.utc_now()] ++ on_conflict(model_name, data)]\n      )\n    end)\n  end\n\n  defp on_conflict(:dataset, _), do: []\n  defp on_conflict(:resource, %{\"dataset_id\" => dataset_datagouv_id}), do: [dataset_datagouv_id: dataset_datagouv_id]\n\n  defp metrics_for_model(:dataset, %{\n         \"monthly_visit\" => monthly_visit,\n         \"monthly_download_resource\" => monthly_download_resource\n       }) do\n    [{:views, monthly_visit}, {:downloads, monthly_download_resource}]\n  end\n\n  defp metrics_for_model(:resource, %{\"monthly_download_resource\" => monthly_download_resource}) do\n    [{:downloads, monthly_download_resource}]\n  end\n\n  defp changeset(:dataset, %{datagouv_id: dataset_datagouv_id} = params, _data) do\n    params = Map.put(params, :dataset_datagouv_id, dataset_datagouv_id)\n    DB.DatasetMonthlyMetric.changeset(%DB.DatasetMonthlyMetric{}, params)\n  end\n\n  defp changeset(:resource, %{datagouv_id: resource_datagouv_id} = params, %{\"dataset_id\" => dataset_datagouv_id}) do\n    params =\n      params\n      |> Map.put(:resource_datagouv_id, resource_datagouv_id)\n      |> Map.put(:dataset_datagouv_id, dataset_datagouv_id)\n\n    DB.ResourceMonthlyMetric.changeset(%DB.ResourceMonthlyMetric{}, params)\n  end\n\n  defp api_args(:dataset, datagouv_id: datagouv_id, page_size: page_size) do\n    [dataset_id__exact: datagouv_id, page_size: page_size, metric_month__sort: \"desc\"] |> URI.encode_query()\n  end\n\n  defp api_args(:resource, datagouv_id: datagouv_id, page_size: page_size) do\n    [resource_id__exact: datagouv_id, page_size: page_size, metric_month__sort: \"desc\"] |> URI.encode_query()\n  end\n\n  defp api_base_url(model_name) when model_name in [:dataset, :resource] do\n    URI.new!(\"https://metric-api.data.gouv.fr/api/#{model_name}s/data/\")\n  end\n\n  defp http_client, do: Transport.Req.impl()\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/import_gbfs_feed_contact_email_job.ex",
    "content": "defmodule Transport.Jobs.ImportGBFSFeedContactEmailJob do\n  @moduledoc \"\"\"\n  Reuse `feed_contact_email` from GBFS feeds.\n\n  Use these email addresses to find or create a contact and subscribe this contact\n  to producer subscriptions for this dataset.\n\n  When a `feed_contact_point` was previously set and changed,\n  we delete old subscriptions and create new ones.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n  require Logger\n\n  # The source when creating a contact\n  @contact_source :\"automation:import_gbfs_feed_contact_email\"\n  # The notification subscription source when creating/deleting subscriptions\n  @notification_subscription_source :\"automation:gbfs_feed_contact_email\"\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    gbfs_feed_contact_emails() |> Enum.each(&update_feed_contact_email/1)\n  end\n\n  def update_feed_contact_email(\n        %{\n          resource_url: _,\n          dataset_id: dataset_id,\n          feed_contact_email: _\n        } = params\n      ) do\n    dataset = DB.Repo.get!(DB.Dataset, dataset_id)\n    contact = find_or_create_contact(params)\n    DB.NotificationSubscription.create_producer_subscriptions(dataset, contact, @notification_subscription_source)\n\n    DB.NotificationSubscription.delete_other_producers_subscriptions(\n      dataset,\n      contact,\n      @notification_subscription_source\n    )\n  end\n\n  defp find_or_create_contact(%{resource_url: resource_url, feed_contact_email: feed_contact_email}) do\n    case DB.Repo.get_by(DB.Contact, email_hash: String.downcase(feed_contact_email)) do\n      %DB.Contact{} = contact ->\n        contact\n\n      nil ->\n        %{\n          mailing_list_title: contact_title(resource_url),\n          email: feed_contact_email,\n          creation_source: @contact_source,\n          organization: Transport.GBFSMetadata.operator(resource_url)\n        }\n        |> DB.Contact.insert!()\n    end\n  end\n\n  @doc \"\"\"\n  iex> contact_title(\"https://api.cyclocity.fr/contracts/nantes/gbfs/gbfs.json\")\n  \"Équipe technique GBFS JC Decaux\"\n  iex> contact_title(\"https://example.com/gbfs.json\")\n  \"Équipe technique GBFS Example\"\n  iex> contact_title(\"https://404.fr\")\n  \"Équipe technique GBFS\"\n  \"\"\"\n  def contact_title(resource_url) do\n    operator_name = Transport.GBFSMetadata.operator(resource_url) || \"\"\n    \"Équipe technique GBFS #{operator_name}\" |> String.trim()\n  end\n\n  @doc \"\"\"\n  Finds feed contact emails for GBFS feeds.\n  Uses the metadata collected by `Transport.GBFSMetadata` over the last week.\n  \"\"\"\n  def gbfs_feed_contact_emails do\n    last_week = DateTime.utc_now() |> DateTime.add(-7, :day)\n\n    DB.ResourceMetadata.base_query()\n    |> join(:inner, [metadata: m], r in DB.Resource, on: r.id == m.resource_id, as: :resource)\n    |> where([resource: r], r.format == \"gbfs\")\n    |> where(\n      [metadata: m],\n      m.inserted_at >= ^last_week and fragment(\"?->'system_details' \\\\? 'feed_contact_email'\", m.metadata)\n    )\n    |> select([metadata: m, resource: r], %{\n      resource_id: r.id,\n      resource_url: r.url,\n      dataset_id: r.dataset_id,\n      feed_contact_email:\n        last_value(fragment(\"?->'system_details'->> 'feed_contact_email'\", m.metadata))\n        |> over(partition_by: m.resource_id, order_by: m.resource_id)\n    })\n    |> distinct(true)\n    |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/import_resource_monthly_metrics_job.ex",
    "content": "defmodule Transport.Jobs.ImportResourceMonthlyMetricsJob do\n  @moduledoc \"\"\"\n  Import monthly metrics related to resources coming from the data.gouv.fr's API.\n\n  This job is executed daily and imports metrics for all resources.\n  If resource metrics have not been imported previously, we well fetch metrics for the last 2 years.\n  Otherwise we will fetch metrics only for the last 3 months.\n\n  Records are not supposed to change in the past, except for the current month.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n\n  # The number of workers to run in parallel when importing metrics\n  @task_concurrency 5\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    resource_datagouv_ids()\n    |> Task.async_stream(\n      fn datagouv_id -> Transport.Jobs.ImportMonthlyMetrics.import_metrics(:resource, datagouv_id) end,\n      max_concurrency: @task_concurrency,\n      on_timeout: :kill_task,\n      timeout: 10_000\n    )\n    |> Stream.run()\n  end\n\n  def resource_datagouv_ids do\n    DB.Resource.base_query() |> select([resource: r], r.datagouv_id) |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/import_reuses_job.ex",
    "content": "defmodule Transport.Jobs.ImportReusesJob do\n  @moduledoc \"\"\"\n  Import reuses from data.gouv.fr when it uses at least a dataset referenced\n  on our platform.\n\n  See https://www.data.gouv.fr/fr/datasets/catalogue-des-donnees-de-data-gouv-fr/\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n\n  # reuses.csv export\n  @csv_url \"https://www.data.gouv.fr/fr/datasets/r/970aafa0-3778-4d8b-b9d1-de937525e379\"\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    DB.Repo.transaction(fn ->\n      truncate_reuses()\n      import_all_reuses()\n    end)\n\n    :ok\n  end\n\n  defp truncate_reuses, do: DB.Repo.delete_all(DB.Reuse)\n\n  defp import_all_reuses do\n    datagouv_ids = dataset_datagouv_ids()\n    %{status: 200, body: body} = http_client().get!(@csv_url, decode_body: false)\n\n    [body]\n    |> CSV.decode!(headers: true, separator: ?;, escape_max_lines: 1_000)\n    |> Stream.reject(fn %{\"datasets\" => datasets} = attributes ->\n      empty_optional_fields?(attributes) or orphan_reuse?(datasets, datagouv_ids)\n    end)\n    |> Enum.each(fn record ->\n      %DB.Reuse{} |> DB.Reuse.changeset(record) |> DB.Repo.insert!()\n    end)\n  end\n\n  defp orphan_reuse?(datasets, datagouv_ids) do\n    datasets |> String.split(\",\") |> MapSet.new() |> MapSet.disjoint?(datagouv_ids)\n  end\n\n  defp dataset_datagouv_ids do\n    DB.Dataset.base_query()\n    |> select([dataset: d], d.datagouv_id)\n    |> DB.Repo.all()\n    |> MapSet.new()\n  end\n\n  defp empty_optional_fields?(attributes) do\n    attributes\n    |> Map.take([\"remote_url\", \"description\", \"datasets\"])\n    |> Map.values()\n    |> Enum.all?(&(&1 == \"\"))\n  end\n\n  defp http_client, do: Transport.Req.impl()\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/irve_raw_consolidation_job.ex",
    "content": "defmodule Transport.Jobs.IRVERawConsolidationJob do\n  @moduledoc \"\"\"\n  Nightly production of IRVE raw consolidation.\n  \"\"\"\n  use Oban.Worker, unique: [period: {1, :days}], tags: [\"irve\"], max_attempts: 3\n  import Transport.S3.AggregatesUploader\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args}) do\n    with_tmp_file(fn data_file ->\n      with_tmp_file(fn report_file ->\n        config = [\n          filter: build_filter(args[:limit]),\n          data_file: data_file,\n          report_file: report_file\n        ]\n\n        Transport.IRVE.RawStaticConsolidation.build_aggregate_and_report!(config)\n\n        now = timestamp()\n\n        upload_aggregate!(\n          data_file,\n          \"irve_static_consolidation_#{now}.csv\",\n          \"irve_static_consolidation.csv\"\n        )\n\n        upload_aggregate!(\n          report_file,\n          \"irve_static_consolidation_report_#{now}.csv\",\n          \"irve_static_consolidation_report.csv\"\n        )\n      end)\n    end)\n  end\n\n  def build_filter(nil = _limit), do: nil\n  def build_filter(limit) when is_integer(limit), do: fn stream -> stream |> Enum.take(limit) end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/irve_simple_consolidation_job.ex",
    "content": "defmodule Transport.Jobs.IRVESimpleConsolidationJob do\n  @moduledoc \"\"\"\n  Nightly production of IRVE \"simple\" consolidation (writing pdc to DB).\n  \"\"\"\n  use Oban.Worker, unique: [period: {1, :days}], tags: [\"irve\"], max_attempts: 3\n\n  require Logger\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    Logger.info(\"Starting IRVE Simple Consolidation Job\")\n\n    Transport.IRVE.SimpleConsolidation.process()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/multi_validation_with_error_notification_job.ex",
    "content": "defmodule Transport.Jobs.MultiValidationWithErrorNotificationJob do\n  @moduledoc \"\"\"\n  An Oban worker responsible for notifying subscribers (Producers and Reusers)\n  when datasets fail validation checks.\n\n  This job implements a \"cooling-off\" period and multi-stage notification logic\n  to prevent spam while ensuring critical data errors are addressed.\n\n  ## Orchestration & Scheduling\n  * **Initial Run:** Should be scheduled every **30 minutes**. It scans for new\n    `DB.MultiValidation` records created within the last 30 minutes.\n  * **Recursive Retries:** If errors persist, the job re-enqueues itself with a\n    specific delay based on the validator type (e.g., 7 days for static data,\n    30 days for real-time data).\n\n  ## Notification Logic\n  The job distinguishes between two roles defined in `DB.NotificationSubscription`:\n\n  1.  **Producers:** Always notified when a validation error occurs, provided the\n      cooling-off period has passed. They receive specific details about the\n      resource and the validator that failed.\n  2.  **Reusers:** Notified only on the **first attempt** (`attempt == 1`) to\n      alert them of potential quality issues in the data they consume.\n\n  ## Validator Types\n  The job handles two distinct categories of validators:\n\n  * **Static Data Validators:** (e.g., GTFS, TableSchema). Matches records with\n      severity \"Error\", \"Fatal\", or explicit \"has_errors\" flags.\n  * **Real-time Data Validators:** (e.g., GTFS-RT). Includes a threshold\n      mechanism (`@gtfs_rt_errors_threshold`). For GTFS-RT, notifications are\n      only triggered if the sum of high-severity error counts exceeds the threshold.\n\n  ## Suppression (Anti-Spam)\n  Before sending an email, the job checks the `DB.Notification` history. If a\n  notification for the same dataset and validator was sent within the\n  `sending_delay_by_validator/1` window, the email is suppressed.\n\n  ## Expected Arguments\n  * `%{\"dataset_id\" => id, \"multi_validation_ids\" => [...], \"attempt\" => n}`\n      Used for scheduled follow-ups/retries.\n  * `%{}`\n      Used for the primary 30-minute recurring scan.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"notifications\"]\n  import Ecto.Query\n\n  @notification_reason Transport.NotificationReason.reason(:dataset_with_error)\n\n  @gtfs_rt_validator Transport.Validators.GTFSRT.validator_name()\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{\n        id: job_id,\n        args: %{\"dataset_id\" => dataset_id, \"multi_validation_ids\" => multi_validation_ids, \"attempt\" => attempt}\n      }) do\n    dataset = DB.Repo.get!(DB.Dataset, dataset_id)\n\n    filtered_validations =\n      DB.MultiValidation.dataset_latest_validation(dataset_id, static_data_validators())\n      |> Map.values()\n      |> List.flatten()\n      |> Enum.filter(fn %DB.MultiValidation{id: id} -> id in multi_validation_ids end)\n      |> Enum.map(&DB.Repo.preload(&1, resource_history: [resource: [:dataset]]))\n\n    validations = [{dataset, filtered_validations}]\n\n    validations |> Enum.each(&send_notifications_for_dataset(&1, job_id: job_id, attempt: attempt))\n    enqueue_next_job(validations, attempt)\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{id: job_id, inserted_at: %DateTime{} = inserted_at}) do\n    attempt = 1\n    validations = relevant_validations(inserted_at)\n    validations |> Enum.each(&send_notifications_for_dataset(&1, job_id: job_id, attempt: attempt))\n\n    enqueue_next_job(validations, attempt)\n  end\n\n  defp enqueue_next_job(validations, attempt) do\n    validator_names = Enum.map(static_data_validators(), & &1.validator_name())\n\n    validations\n    |> Enum.map(fn {%DB.Dataset{} = dataset, multi_validations} ->\n      {dataset,\n       Enum.filter(multi_validations, fn %DB.MultiValidation{validator: validator} -> validator in validator_names end)}\n    end)\n    |> Enum.reject(fn {_, mv} -> Enum.empty?(mv) end)\n    |> Enum.each(fn {%DB.Dataset{} = dataset, multi_validations} ->\n      [delay] = Enum.map(multi_validations, &sending_delay_by_validator(&1.validator)) |> Enum.uniq()\n\n      new(%{dataset_id: dataset.id, multi_validation_ids: Enum.map(multi_validations, & &1.id), attempt: attempt + 1},\n        schedule_in: delay\n      )\n      |> Oban.insert!()\n    end)\n  end\n\n  @doc \"\"\"\n  Send notification errors for a dataset.\n  Notifications are grouped by validator because the sending delay window is different for each validator\n  (static data VS real time data for example).\n  \"\"\"\n  def send_notifications_for_dataset({%DB.Dataset{} = dataset, multi_validations}, job_id: job_id, attempt: attempt) do\n    multi_validations\n    |> Enum.group_by(& &1.validator)\n    |> Enum.each(fn {validator_name, errors} ->\n      producer_subscriptions = dataset |> subscriptions(:producer, validator_name)\n\n      send_to_producers(producer_subscriptions, dataset, errors,\n        validator_name: validator_name,\n        job_id: job_id,\n        attempt: attempt\n      )\n\n      if attempt == 1 do\n        dataset\n        |> subscriptions(:reuser, validator_name)\n        |> send_to_reusers(dataset,\n          producer_warned: not Enum.empty?(producer_subscriptions),\n          validator_name: validator_name,\n          job_id: job_id,\n          attempt: attempt\n        )\n      end\n    end)\n  end\n\n  defp send_to_reusers(subscriptions, %DB.Dataset{} = dataset,\n         producer_warned: producer_warned,\n         validator_name: validator_name,\n         job_id: job_id,\n         attempt: attempt\n       ) do\n    Enum.each(\n      subscriptions,\n      &send_mail(&1,\n        dataset: dataset,\n        producer_warned: producer_warned,\n        validator_name: validator_name,\n        job_id: job_id,\n        attempt: attempt\n      )\n    )\n  end\n\n  defp send_to_producers(subscriptions, %DB.Dataset{} = dataset, multi_validations,\n         validator_name: validator_name,\n         job_id: job_id,\n         attempt: attempt\n       ) do\n    Enum.each(\n      subscriptions,\n      &send_mail(&1,\n        dataset: dataset,\n        resources: Enum.map(multi_validations, fn %DB.MultiValidation{} = mv -> multi_validation_to_resource(mv) end),\n        validator_name: validator_name,\n        job_id: job_id,\n        attempt: attempt\n      )\n    )\n  end\n\n  defp multi_validation_to_resource(%DB.MultiValidation{\n         resource_history: %DB.ResourceHistory{resource: %DB.Resource{} = resource}\n       }),\n       do: resource\n\n  defp multi_validation_to_resource(%DB.MultiValidation{resource: %DB.Resource{} = resource}), do: resource\n\n  defp send_mail(\n         %DB.NotificationSubscription{role: role, contact: %DB.Contact{} = contact} = subscription,\n         [{:dataset, %DB.Dataset{} = dataset} | _] = args\n       ) do\n    Transport.UserNotifier.multi_validation_with_error_notification(contact, role, args)\n    |> Transport.Mailer.deliver()\n\n    save_notification(dataset, subscription, args)\n  end\n\n  defp save_notification(%DB.Dataset{} = dataset, %DB.NotificationSubscription{role: :reuser} = subscription, args) do\n    producer_warned = Keyword.fetch!(args, :producer_warned)\n    job_id = Keyword.fetch!(args, :job_id)\n    validator_name = Keyword.fetch!(args, :validator_name)\n    attempt = Keyword.fetch!(args, :attempt)\n\n    DB.Notification.insert!(dataset, subscription, %{\n      producer_warned: producer_warned,\n      validator_name: validator_name,\n      job_id: job_id,\n      attempt: attempt\n    })\n  end\n\n  defp save_notification(%DB.Dataset{} = dataset, %DB.NotificationSubscription{role: :producer} = subscription, args) do\n    resources = Keyword.fetch!(args, :resources)\n    job_id = Keyword.fetch!(args, :job_id)\n    validator_name = Keyword.fetch!(args, :validator_name)\n    attempt = Keyword.fetch!(args, :attempt)\n\n    DB.Notification.insert!(dataset, subscription, %{\n      resource_ids: Enum.map(resources, fn %DB.Resource{id: resource_id} -> resource_id end),\n      resource_formats: Enum.map(resources, fn %DB.Resource{format: format} -> format end),\n      validator_name: validator_name,\n      job_id: job_id,\n      attempt: attempt\n    })\n  end\n\n  def relevant_validations(%DateTime{} = inserted_at) do\n    datetime_limit = inserted_at |> DateTime.add(-30, :minute)\n\n    Map.merge(\n      relevant_static_validations(datetime_limit),\n      relevant_realtime_validations(datetime_limit),\n      fn %DB.Dataset{}, mv_1, mv_2 -> mv_1 ++ mv_2 end\n    )\n    |> Enum.sort_by(fn {%DB.Dataset{id: id}, _} -> id end)\n  end\n\n  defp relevant_static_validations(%DateTime{} = datetime_limit) do\n    validator_names = Enum.map(static_data_validators(), & &1.validator_name())\n\n    DB.MultiValidation.base_query()\n    |> where(\n      [multi_validation: mv],\n      mv.max_error in [\"Error\", \"Fatal\", \"ERROR\"] or fragment(\"?->>'has_errors' = 'true'\", mv.result)\n    )\n    |> where(\n      [multi_validation: mv],\n      not is_nil(mv.resource_history_id) and mv.validator in ^validator_names and mv.inserted_at >= ^datetime_limit\n    )\n    |> preload(resource_history: [resource: [:dataset]])\n    |> DB.Repo.all()\n    |> Enum.group_by(& &1.resource_history.resource.dataset)\n  end\n\n  defp relevant_realtime_validations(%DateTime{} = datetime_limit) do\n    validator_names = Enum.map(realtime_data_validators(), & &1.validator_name())\n\n    DB.MultiValidation.with_result()\n    |> where([multi_validation: mv], fragment(\"?->>'has_errors' = 'true'\", mv.result))\n    |> where(\n      [multi_validation: mv],\n      is_nil(mv.resource_history_id) and mv.validator in ^validator_names and mv.inserted_at >= ^datetime_limit\n    )\n    |> preload(resource: :dataset)\n    |> DB.Repo.all()\n    |> Enum.filter(&relevant_realtime_validation?/1)\n    |> Enum.group_by(& &1.resource.dataset)\n  end\n\n  def relevant_realtime_validation?(%DB.MultiValidation{validator: @gtfs_rt_validator} = mv) do\n    Transport.Validators.GTFSRT.critical_errors?(mv)\n  end\n\n  def relevant_realtime_validation?(%DB.MultiValidation{}), do: true\n\n  defp subscriptions(%DB.Dataset{} = dataset, role, validator_name) do\n    @notification_reason\n    |> DB.NotificationSubscription.subscriptions_for_reason_dataset_and_role(dataset, role)\n    |> reject_already_sent(dataset, validator_name)\n  end\n\n  defp reject_already_sent(notification_subscriptions, %DB.Dataset{} = dataset, validator_name) do\n    already_sent_emails = email_addresses_already_sent(dataset, validator_name)\n\n    Enum.reject(notification_subscriptions, fn %DB.NotificationSubscription{contact: %DB.Contact{email: email}} ->\n      email in already_sent_emails\n    end)\n  end\n\n  def all_validators, do: static_data_validators() ++ realtime_data_validators()\n\n  @doc \"\"\"\n  iex> sending_delay_by_validator(Transport.Validators.GBFSValidator.validator_name())\n  {30, :day}\n  iex> all_validators() |> Enum.map(& &1.validator_name()) |> Enum.each(&sending_delay_by_validator/1)\n  :ok\n  iex> static_data_validators() |> Enum.map(& sending_delay_by_validator(&1.validator_name())) |> Enum.uniq()\n  [{7, :day}]\n  \"\"\"\n  @spec sending_delay_by_validator(binary()) :: {pos_integer(), :day}\n  def sending_delay_by_validator(validator) do\n    %{\n      Transport.Validators.GTFSTransport => {7, :day},\n      Transport.Validators.TableSchema => {7, :day},\n      Transport.Validators.JSONSchema => {7, :day},\n      Transport.Validators.MobilityDataGTFSValidator => {7, :day},\n      Transport.Validators.GBFSValidator => {30, :day},\n      Transport.Validators.GTFSRT => {30, :day}\n    }\n    |> Map.new(fn {validator, delay} -> {validator.validator_name(), delay} end)\n    |> Map.fetch!(validator)\n  end\n\n  def email_addresses_already_sent(%DB.Dataset{id: dataset_id}, validator_name) do\n    {delay, unit} = sending_delay_by_validator(validator_name)\n    datetime_limit = DateTime.utc_now() |> DateTime.add(-delay, unit)\n\n    DB.Notification.base_query()\n    |> where(\n      [notification: n],\n      n.inserted_at >= ^datetime_limit and n.dataset_id == ^dataset_id and n.reason == @notification_reason\n    )\n    |> where(\n      [notification: n],\n      # validator information is not filled (legacy notifications) OR\n      # notifications sent related to the given validator\n      is_nil(n.payload) or not fragment(\"? \\\\? 'validator_name'\", n.payload) or\n        fragment(\"?->'validator_name' = ?\", n.payload, ^validator_name)\n    )\n    |> select([notification: n], n.email)\n    |> distinct(true)\n    |> DB.Repo.all()\n  end\n\n  def static_data_validators,\n    do: Transport.ValidatorsSelection.validators_for_feature(:multi_validation_with_error_static_validators)\n\n  def realtime_data_validators,\n    do: Transport.ValidatorsSelection.validators_for_feature(:multi_validation_with_error_realtime_validators)\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/netex_poller_job.ex",
    "content": "defmodule Transport.Jobs.NeTExPollerJob do\n  @moduledoc \"\"\"\n  Companion module to the validator for NeTEx files, used to handle long\n  standing validations.\n  \"\"\"\n\n  # Max attempts doesn't really matter here as it's useful for workers failing.\n  # Here we mostly poll and excepted network errors, the worker won't fail.\n  @max_attempts 3\n\n  use Oban.Worker,\n    tags: [\"validation\"],\n    max_attempts: @max_attempts,\n    queue: :resource_validation,\n    unique: [fields: [:args, :worker]]\n\n  alias Transport.Validators.NeTEx.Validator\n\n  # Override the backoff to play nice and avoiding falling in very slow retry\n  # after an important streak of snoozing (which increments the `attempt`\n  # counter).\n  #\n  # See https://hexdocs.pm/oban/Oban.Worker.html#module-snoozing-jobs.\n  @impl Worker\n  def backoff(%Oban.Job{} = job) do\n    corrected_attempt = @max_attempts - (job.max_attempts - job.attempt)\n\n    Worker.backoff(%{job | attempt: corrected_attempt})\n  end\n\n  @impl Worker\n  def perform(%Oban.Job{\n        args: %{\n          \"validation_id\" => validation_id,\n          \"resource_history_id\" => resource_history_id,\n          \"metadata\" => metadata\n        },\n        attempt: attempt\n      }) do\n    proceed(validation_id, resource_history_id, attempt, metadata)\n  end\n\n  def perform(%Oban.Job{\n        args: %{\n          \"validation_id\" => validation_id,\n          \"resource_history_id\" => resource_history_id\n        },\n        attempt: attempt\n      }) do\n    proceed(validation_id, resource_history_id, attempt, %{})\n  end\n\n  defp proceed(validation_id, resource_history_id, attempt, metadata) do\n    Validator.poll_validation_results(validation_id, metadata, attempt)\n    |> Validator.handle_validation_results(resource_history_id, metadata, fn ^validation_id ->\n      snooze_poller(attempt)\n    end)\n  end\n\n  def snooze_poller(attempt) do\n    {:snooze, Validator.poll_interval(attempt)}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/new_comments_notification_job.ex",
    "content": "defmodule Transport.Jobs.NewCommentsNotificationJob do\n  @moduledoc \"\"\"\n  Job sending email notifications to each reuser when comments have been posted\n  on datasets they follow.\n\n  `dataset.latest_data_gouv_comment_timestamp` is updated daily by\n  `Transport.CommentsChecker` and is currently in charge of sending\n  notifications to producers.\n\n  This job should be scheduled for every weekday.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"notifications\"]\n  import Ecto.Query\n  @notification_reason Transport.NotificationReason.reason(:daily_new_comments)\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"contact_id\" => contact_id, \"dataset_ids\" => dataset_ids}}) do\n    subscription =\n      DB.NotificationSubscription\n      |> DB.Repo.get_by!(reason: @notification_reason, contact_id: contact_id)\n      |> DB.Repo.preload(:contact)\n\n    contact = Map.fetch!(subscription, :contact)\n\n    datasets =\n      DB.Contact.base_query()\n      |> join(:inner, [contact: c], d in assoc(c, :followed_datasets), as: :dataset)\n      |> where([contact: c, dataset: d], c.id == ^contact_id and d.id in ^dataset_ids)\n      |> select([dataset: d], d)\n      |> DB.Repo.all()\n\n    contact\n    |> Transport.UserNotifier.new_comments_reuser(datasets)\n    |> Transport.Mailer.deliver()\n\n    DB.Notification.insert!(subscription, %{dataset_ids: Enum.map(datasets, & &1.id)})\n    :ok\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{scheduled_at: %DateTime{} = scheduled_at}) do\n    dataset_ids = scheduled_at |> relevant_datasets_query() |> select([dataset: d], d.id) |> DB.Repo.all()\n\n    scheduled_at\n    |> relevant_contacts()\n    |> Enum.map(fn %DB.Contact{id: contact_id} -> new(%{contact_id: contact_id, dataset_ids: dataset_ids}) end)\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  @doc \"\"\"\n  Identifies contacts for which we should send an email today.\n  - they follow datasets with recent comments\n  - they are subscribed to the relevant notification's reason\n  \"\"\"\n  def relevant_contacts(%DateTime{} = datetime) do\n    datetime\n    |> relevant_datasets_query()\n    |> join(:inner, [dataset: d], f in assoc(d, :followers), as: :contact)\n    |> join(:inner, [contact: c], ns in assoc(c, :notification_subscriptions), as: :notification_subscription)\n    |> where([notification_subscription: ns], ns.role == :reuser and ns.reason == @notification_reason)\n    |> select([contact: c], c)\n    |> distinct(true)\n    |> DB.Repo.all()\n  end\n\n  @doc \"\"\"\n  Identifies datasets for which new comments have been posted recently.\n  [Tuesday; Thursday] -> last day\n  Monday -> Friday, Saturday or Sunday\n  \"\"\"\n  def relevant_datasets_query(%DateTime{} = datetime) do\n    days_delay = datetime |> DateTime.to_date() |> nb_days_delay()\n    dt_limit = DateTime.add(datetime, -days_delay, :day)\n\n    DB.Dataset.base_query()\n    |> where([dataset: d], not is_nil(d.latest_data_gouv_comment_timestamp))\n    |> where([dataset: d], d.latest_data_gouv_comment_timestamp >= ^dt_limit)\n  end\n\n  @doc \"\"\"\n  iex> nb_days_delay(~D[2024-03-28])\n  1\n  iex> nb_days_delay(~D[2024-03-25])\n  3\n  \"\"\"\n  def nb_days_delay(%Date{} = date) do\n    if Date.day_of_week(date) == 1, do: 3, else: 1\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/new_datagouv_datasets_job.ex",
    "content": "defmodule Transport.Jobs.NewDatagouvDatasetsJob do\n  @moduledoc \"\"\"\n  This job looks at datasets that have been created recently on data.gouv.fr\n  and tries to determine if it should be added on the NAP.\n  It sends the list of these datasets by email.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"notifications\"]\n  import Ecto.Query\n  alias Transport.Schemas.Wrapper, as: Schemas\n\n  @rules [\n    %{\n      category: \"Transport en commun\",\n      schemas: MapSet.new([]),\n      tags:\n        MapSet.new([\n          \"bus\",\n          \"déplacement\",\n          \"déplacements\",\n          \"horaires\",\n          \"mobilité\",\n          \"temps-réel\",\n          \"transport\",\n          \"transports\"\n        ]),\n      formats: MapSet.new([\"gtfs\", \"netex\", \"gtfs-rt\", \"gtfsrt\", \"siri\", \"ssim\"])\n    },\n    %{\n      category: \"Freefloating\",\n      schemas: MapSet.new([]),\n      tags:\n        MapSet.new([\n          \"autopartage\",\n          \"freefloating\",\n          \"trottinette\",\n          \"vls\",\n          \"scooter\",\n          \"scooters\",\n          \"libre-service\",\n          \"libre service\"\n        ]),\n      formats: MapSet.new([\"gbfs\"])\n    },\n    %{\n      category: \"Vélo et stationnements\",\n      schemas: [\n        \"etalab/schema-amenagements-cyclables\",\n        \"etalab/schema-stationnement-cyclable\",\n        \"etalab/schema-stationnement\",\n        \"etalab/schema-comptage-mobilites-channel\",\n        \"etalab/schema-comptage-mobilites-measure\",\n        \"etalab/schema-comptage-mobilites-site\"\n      ],\n      tags: MapSet.new([\"cyclable\", \"cyclables\", \"parking\", \"parkings\", \"stationnement\", \"vélo\", \"vélos\"]),\n      formats: MapSet.new([])\n    },\n    %{\n      category: \"Covoiturage et ZFE\",\n      schemas: [\"etalab/schema-lieux-covoiturage\", \"etalab/schema-zfe\"],\n      tags: MapSet.new([\"covoiturage\", \"zfe\", \"zfe-m\", \"zone à faible émission\"]),\n      formats: MapSet.new([])\n    },\n    %{\n      category: \"IRVE\",\n      schemas: [\"etalab/schema-irve-statique\", \"etalab/schema-irve-dynamique\"],\n      tags:\n        MapSet.new([\n          \"infrastructure de recharge\",\n          \"borne de recharge\",\n          \"irve\",\n          \"sdirve\"\n        ]),\n      formats: MapSet.new([])\n    }\n  ]\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"check_rules\" => true}}) do\n    # Check that all rules:\n    # - have the required attributes\n    # - the specified schemas (`etalab/schema-irve-statique` for example) exist\n    existing_schemas = Map.keys(Schemas.transport_schemas())\n\n    Enum.each(@rules, fn %{category: category, schemas: schemas, tags: %MapSet{}, formats: %MapSet{}} ->\n      unless Enum.all?(schemas, &(&1 in existing_schemas)) do\n        message = \"`#{category}` has invalid schemas: #{inspect(schemas)}\"\n        Sentry.capture_message(\"#{inspect(__MODULE__)}: #{message}\")\n      end\n    end)\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{inserted_at: %DateTime{} = inserted_at}) do\n    filtered_datasets(datagouv_datasets(), inserted_at)\n    |> match_for_rules()\n    |> send_emails(inserted_at)\n  end\n\n  def rules, do: @rules\n\n  def filtered_datasets(datasets, %DateTime{} = inserted_at) do\n    dataset_ids = DB.Dataset.base_query() |> select([dataset: d], d.datagouv_id) |> DB.Repo.all()\n\n    Enum.filter(datasets, fn dataset ->\n      not_on_platform = dataset[\"id\"] not in dataset_ids\n\n      created_recently =\n        after_datetime?(get_in(dataset, [\"internal\", \"created_at_internal\"]), starting_date(inserted_at))\n\n      not_on_platform and created_recently\n    end)\n  end\n\n  def starting_date(%DateTime{} = inserted_at) do\n    DateTime.add(inserted_at, window(DateTime.to_date(inserted_at)), :day)\n  end\n\n  @doc \"\"\"\n  iex> window(~D[2024-04-01])\n  -3\n  iex> window(~D[2024-04-02])\n  -1\n  iex> window(~D[2024-04-03])\n  -1\n  \"\"\"\n  def window(%Date{} = inserted_at) do\n    if inserted_at |> Date.day_of_week() == 1 do\n      -3\n    else\n      -1\n    end\n  end\n\n  def after_datetime?(created_at, %DateTime{} = dt_limit) when is_binary(created_at) do\n    {:ok, datetime, 0} = DateTime.from_iso8601(created_at)\n    DateTime.compare(datetime, dt_limit) == :gt\n  end\n\n  @doc \"\"\"\n  Useful to ignore specific datasets/organizations.\n\n  iex> ignore_dataset?(%{\"organization\" => %{\"id\" => \"5a83f81fc751df6f8573eb8a\"}, \"title\" => \"BDTOPO© - Chefs-Lieux pour le département de l'Eure-et-Loir\"})\n  true\n  \"\"\"\n  def ignore_dataset?(%{\"organization\" => %{\"id\" => \"5a83f81fc751df6f8573eb8a\"}, \"title\" => title}) do\n    String.contains?(title, \"BDTOPO\")\n  end\n\n  def ignore_dataset?(%{}), do: false\n\n  def dataset_is_relevant?(%{} = dataset, rule) do\n    if ignore_dataset?(dataset) do\n      false\n    else\n      match_on_dataset =\n        [tags_is_relevant?(dataset, rule), description_is_relevant?(dataset, rule), title_is_relevant?(dataset, rule)]\n        |> Enum.any?()\n\n      match_on_resources =\n        dataset |> Map.fetch!(\"resources\") |> Enum.any?(&resource_is_relevant?(&1, rule))\n\n      match_on_dataset or match_on_resources\n    end\n  end\n\n  defp datagouv_datasets do\n    url =\n      Path.join(Application.fetch_env!(:transport, :datagouvfr_site), \"/api/1/datasets/?sort=-created&page_size=500\")\n\n    %HTTPoison.Response{status_code: 200, body: body} =\n      Transport.Shared.Wrapper.HTTPoison.impl().get!(url, [], timeout: 30_000, recv_timeout: 30_000)\n\n    body |> Jason.decode!() |> Map.fetch!(\"data\")\n  end\n\n  defp match_for_rules(datasets) do\n    for dataset <- datasets, rule <- @rules, dataset_is_relevant?(dataset, rule) do\n      {rule.category, dataset}\n    end\n  end\n\n  defp send_emails([], %DateTime{}), do: :ok\n\n  defp send_emails(matches, inserted_at) do\n    duration = window(DateTime.to_date(inserted_at)) * -24\n\n    matches\n    |> Enum.group_by(fn {category, _} -> category end, fn {_, dataset} -> dataset end)\n    |> Enum.each(fn {category, datasets} ->\n      rule = Enum.find(@rules, &(&1.category == category))\n\n      Transport.AdminNotifier.new_datagouv_datasets(category, datasets, rule_explanation(rule), duration)\n      |> Transport.Mailer.deliver()\n    end)\n  end\n\n  def rule_explanation(%{schemas: schemas, tags: tags, formats: formats}) do\n    join_or_empty = fn values ->\n      if Enum.empty?(values) do\n        \"(vide)\"\n      else\n        Enum.join(values, \", \")\n      end\n    end\n\n    \"\"\"\n    <p>Règles utilisées pour identifier ces jeux de données :</p>\n    <ul>\n      <li>Formats : #{join_or_empty.(formats)}</li>\n      <li>Schémas : #{join_or_empty.(schemas)}</li>\n      <li>Mots-clés/tags : #{join_or_empty.(tags)}</li>\n    </ul>\n    \"\"\"\n  end\n\n  defp title_is_relevant?(%{\"title\" => title}, rule), do: string_matches?(title, rule)\n  defp description_is_relevant?(%{\"description\" => description}, rule), do: string_matches?(description, rule)\n\n  defp string_matches?(nil, _rule), do: false\n\n  defp string_matches?(str, %{formats: formats, tags: tags} = _rule) when is_binary(str) do\n    searches = MapSet.union(formats, tags) |> MapSet.to_list() |> Enum.map(&normalize/1)\n    {words_with_spaces, words_without_spaces} = Enum.split_with(searches, &String.contains?(&1, \" \"))\n\n    match_without_spaces =\n      not (str\n           |> normalize()\n           |> String.split(~r/\\s+/)\n           |> MapSet.new()\n           |> MapSet.disjoint?(MapSet.new(words_without_spaces)))\n\n    match_with_spaces = str |> normalize() |> String.contains?(words_with_spaces)\n    match_without_spaces || match_with_spaces\n  end\n\n  defp tags_is_relevant?(%{\"tags\" => tags} = _dataset, rule) do\n    tags |> Enum.map(&string_matches?(&1, rule)) |> Enum.any?()\n  end\n\n  defp resource_is_relevant?(%{} = resource, rule) do\n    Enum.any?([\n      resource_format_is_relevant?(resource, rule),\n      resource_schema_is_relevant?(resource, rule),\n      description_is_relevant?(resource, rule)\n    ])\n  end\n\n  defp resource_format_is_relevant?(%{\"format\" => nil}, _rule), do: false\n\n  defp resource_format_is_relevant?(%{\"format\" => format}, %{formats: formats} = _rule) do\n    MapSet.member?(formats, String.downcase(format))\n  end\n\n  defp resource_schema_is_relevant?(%{\"schema\" => %{\"name\" => schema_name}}, %{schemas: schemas} = _rule) do\n    schema_name in schemas\n  end\n\n  defp resource_schema_is_relevant?(%{}, _rule), do: false\n\n  @doc \"\"\"\n  Clean up a string, lowercase it and replace accented letters with ASCII letters.\n\n  iex> normalize(\"Paris\")\n  \"paris\"\n  iex> normalize(\"vélo\")\n  \"velo\"\n  iex> normalize(\"Châteauroux\")\n  \"chateauroux\"\n  iex> normalize(\"J'adore manger\")\n  \"j'adore manger\"\n  \"\"\"\n  def normalize(value) do\n    value\n    |> String.downcase()\n    |> String.graphemes()\n    |> Enum.map_join(\"\", &normalize_grapheme/1)\n  end\n\n  defp normalize_grapheme(grapheme) do\n    case String.normalize(grapheme, :nfd) do\n      <<first, rest::binary>> when is_binary(rest) ->\n        case String.valid?(<<first>>) do\n          true -> <<first>>\n          false -> \"\"\n        end\n\n      _ ->\n        grapheme\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/new_dataset_notifications_job.ex",
    "content": "defmodule Transport.Jobs.NewDatasetNotificationsJob do\n  @moduledoc \"\"\"\n  Job in charge of sending notifications about datasets that have been added recently.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"notifications\"]\n  import Ecto.Query\n  @new_dataset_reason Transport.NotificationReason.reason(:new_dataset)\n\n  @impl Oban.Worker\n\n  def perform(%Oban.Job{id: job_id, inserted_at: %DateTime{} = inserted_at}) do\n    inserted_at |> relevant_datasets() |> send_new_dataset_notifications(job_id)\n    :ok\n  end\n\n  def relevant_datasets(%DateTime{} = inserted_at) do\n    datetime_limit = inserted_at |> DateTime.add(-1, :day)\n\n    DB.Dataset.base_query()\n    |> where([dataset: d], d.inserted_at >= ^datetime_limit)\n    |> DB.Repo.all()\n  end\n\n  @spec send_new_dataset_notifications([DB.Dataset.t()] | [], pos_integer()) :: no_return() | :ok\n  def send_new_dataset_notifications([], _job_id), do: :ok\n\n  def send_new_dataset_notifications(datasets, job_id) do\n    @new_dataset_reason\n    |> DB.NotificationSubscription.subscriptions_for_reason_and_role(:reuser)\n    |> Enum.each(fn %DB.NotificationSubscription{contact: %DB.Contact{} = contact} = subscription ->\n      contact\n      |> Transport.UserNotifier.new_datasets(datasets)\n      |> Transport.Mailer.deliver()\n\n      DB.Notification.insert!(subscription, %{dataset_ids: Enum.map(datasets, & &1.id), job_id: job_id})\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/notification_subscription_producer_job.ex",
    "content": "defmodule Transport.Jobs.NotificationSubscriptionProducerJob do\n  @moduledoc \"\"\"\n  Job in charge identifying `NotificationSubscription` objects for\n  which the contact subscribed as a reuser and is now a producer\n  of the associated dataset.\n\n  The job deletes these notification subscriptions and creates\n  notification subscriptions for all producer reasons.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    records =\n      DB.NotificationSubscription.base_query()\n      |> join(:inner, [notification_subscription: ns], c in assoc(ns, :contact), as: :contact)\n      |> join(:inner, [contact: c], c in assoc(c, :organizations), as: :organization)\n      |> join(:inner, [notification_subscription: ns, contact: c, organization: o], d in assoc(ns, :dataset),\n        on: d.organization_id == o.id,\n        as: :dataset\n      )\n      |> where([notification_subscription: ns], ns.role == :reuser)\n      |> select([notification_subscription: ns], ns)\n      |> DB.Repo.all()\n\n    # Delete reusers subscriptions\n    records |> Enum.each(&DB.Repo.delete!/1)\n\n    create_producer_subscriptions(records)\n\n    :ok\n  end\n\n  defp create_producer_subscriptions(subscriptions) do\n    subscriptions\n    |> Enum.map(fn %DB.NotificationSubscription{} = ns ->\n      ns |> Map.from_struct() |> Map.take([:contact_id, :dataset_id])\n    end)\n    |> Enum.uniq()\n    |> Enum.each(&create_subscriptions/1)\n  end\n\n  defp create_subscriptions(%{contact_id: _, dataset_id: _} = attrs) do\n    Transport.NotificationReason.subscribable_reasons_related_to_datasets(:producer)\n    |> Enum.each(fn reason ->\n      DB.NotificationSubscription.insert!(\n        Map.merge(%{role: :producer, source: :\"automation:migrate_from_reuser_to_producer\", reason: reason}, attrs)\n      )\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/oban_logger.ex",
    "content": "defmodule Transport.Jobs.ObanLogger do\n  @moduledoc \"\"\"\n  Setup telemetry/logging for Oban.\n\n  We:\n  - log job exceptions as warnings\n  - log Oban events related to the orchestration (notifier, queues, plugins etc.)\n  - we send an email when a job failed after its maximum attempt for jobs with a specific tag\n  \"\"\"\n  require Logger\n\n  @tag_email_on_failure \"email_on_failure\"\n\n  @doc \"\"\"\n  If you add this tag to an `Oban.Job`, if this job fails an email will be sent\n  to the tech team alias to warn about this failure.\n\n  ⚠️ Do not use this on a lot of jobs or jobs that are executed often, this is not a Sentry replacement! ⚠️\n  This should soon be replaced by a Sentry integration.\n  \"\"\"\n  def email_on_failure_tag, do: @tag_email_on_failure\n\n  def handle_event(\n        [:oban, :job, :exception],\n        %{duration: duration},\n        %{\n          args: args,\n          error: error,\n          id: id,\n          worker: worker,\n          job: %Oban.Job{tags: tags, attempt: attempt, max_attempts: max_attempts}\n        },\n        nil\n      ) do\n    if email_on_failure_tag() in tags and attempt == max_attempts do\n      worker |> Transport.AdminNotifier.oban_failure() |> Transport.Mailer.deliver()\n    end\n\n    Logger.warning(\n      \"Job #{id} handled by #{worker} called with args #{inspect(args)} failed in #{duration}. Error: #{inspect(error)}\"\n    )\n  end\n\n  def setup do\n    :telemetry.attach(\"oban-logger\", [:oban, :job, :exception], &handle_event/4, nil)\n\n    # Log recommended events for production.\n    # We leave out `job` events because job start/end can be quite noisy.\n    # https://hexdocs.pm/oban/preparing_for_production.html#logging\n    # https://hexdocs.pm/oban/Oban.Telemetry.html\n    Oban.Telemetry.attach_default_logger(\n      events: ~w(notifier plugin peer queue stager)a,\n      encode: true,\n      level: :info\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/on_demand_netex_poller_job.ex",
    "content": "defmodule Transport.Jobs.OnDemandNeTExPollerJob do\n  @moduledoc \"\"\"\n  Job in charge of polling validation results from enRoute Chouette Valid.\n\n  Upon success it stores the result in the database.\n  \"\"\"\n\n  # Max attempts doesn't really matter here as it's useful for workers failing.\n  # Here we mostly poll and excepted network errors, the worker won't fail.\n  @max_attempts 3\n\n  use Oban.Worker,\n    tags: [\"validation\"],\n    max_attempts: @max_attempts,\n    queue: :on_demand_validation,\n    unique: [fields: [:args, :worker]]\n\n  alias Transport.Jobs.OnDemandValidationHelpers, as: Helpers\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_2, as: ResultsAdapter\n  alias Transport.Validators.NeTEx.Validator\n\n  # Override the backoff to play nice and avoiding falling in very slow retry\n  # after an important streak of snoozing (which increments the `attempt`\n  # counter).\n  #\n  # See https://hexdocs.pm/oban/Oban.Worker.html#module-snoozing-jobs.\n  @impl Worker\n  def backoff(%Oban.Job{} = job) do\n    corrected_attempt = @max_attempts - (job.max_attempts - job.attempt)\n\n    Worker.backoff(%{job | attempt: corrected_attempt})\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"id\" => multivalidation_id} = args, attempt: attempt}) do\n    check_result(args, attempt)\n    |> Helpers.handle_validation_result(multivalidation_id)\n  end\n\n  def later(validation_id, multivalidation_id, metadata, url) do\n    %{validation_id: validation_id, id: multivalidation_id, permanent_url: url, metadata: metadata}\n    |> new(schedule_in: {20, :seconds})\n    |> Oban.insert()\n\n    Helpers.delegated_state()\n  end\n\n  def check_result(%{\"permanent_url\" => url, \"validation_id\" => validation_id, \"metadata\" => metadata}, attempt) do\n    case Validator.poll_validation(validation_id, metadata, attempt) do\n      {:error, error_result} -> handle_error(error_result)\n      {:ok, ok_result} -> handle_success(ok_result, url)\n      {:pending, _validation_id} -> handle_pending(attempt)\n    end\n  end\n\n  def check_result(%{\"permanent_url\" => _, \"validation_id\" => _} = args, attempt) do\n    check_result(Map.merge(%{\"metadata\" => %{}}, args), attempt)\n  end\n\n  def handle_error(error_result) do\n    error_result\n    |> build_error_validation_result()\n    |> Helpers.terminal_state()\n  end\n\n  def handle_success(ok_result, url) do\n    ok_result\n    |> build_successful_validation_result(url)\n    |> Helpers.terminal_state()\n  end\n\n  def handle_pending(attempt) do\n    attempt\n    |> Validator.poll_interval()\n    |> Helpers.snoozed_state()\n  end\n\n  defp build_successful_validation_result(%{\"validations\" => validation, \"metadata\" => metadata}, url) do\n    %{\n      result: validation,\n      binary_result: ResultsAdapter.to_binary_result(validation),\n      digest: ResultsAdapter.digest(validation),\n      metadata: metadata,\n      data_vis: nil,\n      validator: Validator.validator_name(),\n      validator_version: Validator.validator_version(),\n      validated_data_name: url,\n      max_error: ResultsAdapter.get_max_severity_error(validation),\n      oban_args: Helpers.completed()\n    }\n  end\n\n  defp build_error_validation_result(%{message: msg}) do\n    %{\n      oban_args: Helpers.error(msg),\n      validator: Validator.validator_name(),\n      validator_version: Validator.validator_version()\n    }\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/on_demand_validation_helpers.ex",
    "content": "defmodule Transport.Jobs.OnDemandValidationHelpers do\n  @moduledoc \"\"\"\n  Shared code for jobs implementing the On Demand validation.\n  \"\"\"\n  import Ecto.Changeset\n  import Ecto.Query\n\n  def terminal_state(result), do: {:terminal, result}\n  def delegated_state, do: :delegated\n  def snoozed_state(duration_in_seconds), do: {:snooze, duration_in_seconds}\n\n  def completed, do: %{\"state\" => \"completed\"}\n\n  def error(error_message), do: %{\"state\" => \"error\", \"error_reason\" => error_message}\n\n  def handle_validation_result(result, multivalidation_id) do\n    case result do\n      {:terminal, changes} -> update_multivalidation(multivalidation_id, changes)\n      :delegated -> :ok\n      {:snooze, _duration_in_seconds} -> result\n    end\n  end\n\n  defp update_multivalidation(multivalidation_id, changes) do\n    validation = %{oban_args: oban_args} = DB.MultiValidation |> preload(:metadata) |> DB.Repo.get!(multivalidation_id)\n\n    # update oban_args with validator output\n    oban_args = Map.merge(oban_args, Map.get(changes, :oban_args, %{}))\n    changes = changes |> Map.put(:oban_args, oban_args)\n\n    {metadata, changes} = Map.pop(changes, :metadata)\n    {features, changes} = Map.pop(changes, :features)\n\n    validation\n    |> change(changes)\n    |> put_assoc(:metadata, %{metadata: metadata, features: features})\n    |> DB.Repo.update!()\n\n    :ok\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/on_demand_validation_job.ex",
    "content": "defmodule Transport.Jobs.OnDemandValidationJob do\n  @moduledoc \"\"\"\n  Job in charge of validating a file that has been stored\n  on Cellar and tracked by a `DB.MultiValidation` row.\n\n  It validates the file and stores the result in the database.\n  \"\"\"\n  use Oban.Worker, tags: [\"validation\"], max_attempts: 5, queue: :on_demand_validation\n  require Logger\n  alias Transport.DataVisualization\n  alias Transport.Jobs.OnDemandNeTExPollerJob\n  alias Transport.Jobs.OnDemandValidationHelpers, as: Helpers\n  alias Transport.Validators.GTFSRT\n  alias Transport.Validators.GTFSTransport\n  alias Transport.Validators.JSONSchema.Wrapper, as: JSONSchemaValidator\n  alias Transport.Validators.MobilityDataGTFSValidator\n  alias Transport.Validators.NeTEx.Validator, as: NeTEx\n  alias Transport.Validators.TableSchema.Wrapper, as: TableSchemaValidator\n\n  @download_timeout_ms 10_000\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"id\" => multivalidation_id, \"state\" => \"waiting\"} = payload}) do\n    result =\n      try do\n        perform_validation(payload)\n      rescue\n        e -> %{oban_args: Helpers.error(inspect(e))} |> Helpers.terminal_state()\n      end\n\n    Helpers.handle_validation_result(result, multivalidation_id)\n  after\n    if Map.has_key?(payload, \"filename\") do\n      Transport.S3.delete_object!(:on_demand_validation, payload[\"filename\"])\n    end\n  end\n\n  defp perform_validation(%{\"type\" => \"gtfs\", \"permanent_url\" => url}) do\n    validator = GTFSTransport.validator_name()\n\n    case GTFSTransport.validate(url) do\n      {:error, msg} ->\n        %{oban_args: Helpers.error(msg), validator: validator}\n        |> Helpers.terminal_state()\n\n      {:ok, %{\"validations\" => validation, \"metadata\" => metadata}} ->\n        %{\n          result: validation,\n          digest: GTFSTransport.digest(validation),\n          metadata: metadata,\n          data_vis: DataVisualization.validation_data_vis(validation),\n          validator: validator,\n          command: GTFSTransport.command(url),\n          validated_data_name: url,\n          max_error: GTFSTransport.get_max_severity_error(validation),\n          oban_args: Helpers.completed()\n        }\n        |> Helpers.terminal_state()\n    end\n  end\n\n  defp perform_validation(%{\"type\" => \"gtfs-flex\", \"permanent_url\" => url}) do\n    validator = MobilityDataGTFSValidator\n    results = validator.validate_and_save(url)\n\n    %{\n      result: results.result,\n      validator_version: results.validator_version,\n      metadata: results.metadata,\n      features: results.features,\n      command: results.command,\n      digest: results.digest,\n      max_error: results.max_error,\n      validator: validator.validator_name(),\n      validated_data_name: url,\n      oban_args: Helpers.completed()\n    }\n    |> Helpers.terminal_state()\n  end\n\n  defp perform_validation(%{\"type\" => \"netex\", \"id\" => multivalidation_id, \"permanent_url\" => url}) do\n    case NeTEx.validate(url) do\n      {:error, error_result} ->\n        OnDemandNeTExPollerJob.handle_error(error_result)\n\n      {:ok, ok_result} ->\n        OnDemandNeTExPollerJob.handle_success(ok_result, url)\n\n      {:pending, {validation_id, metadata}} ->\n        OnDemandNeTExPollerJob.later(validation_id, multivalidation_id, metadata, url)\n    end\n  end\n\n  defp perform_validation(%{\n         \"type\" => \"tableschema\",\n         \"permanent_url\" => url,\n         \"schema_name\" => schema_name\n       }) do\n    validator = Transport.Validators.TableSchema.validator_name()\n\n    case TableSchemaValidator.validate(schema_name, url) do\n      nil ->\n        %{oban_args: Helpers.error(\"could not perform validation\"), validator: validator}\n        |> Helpers.terminal_state()\n\n      validation ->\n        %{\n          oban_args: Helpers.completed(),\n          result: validation,\n          digest: Transport.Validators.TableSchema.digest(validation),\n          validator: validator\n        }\n        |> Helpers.terminal_state()\n    end\n  end\n\n  defp perform_validation(%{\n         \"type\" => \"jsonschema\",\n         \"permanent_url\" => url,\n         \"schema_name\" => schema_name\n       }) do\n    validator = Transport.Validators.JSONSchema.validator_name()\n\n    case JSONSchemaValidator.validate(\n           JSONSchemaValidator.load_jsonschema_for_schema(schema_name),\n           url\n         ) do\n      nil ->\n        %{\n          oban_args: Helpers.error(\"could not perform validation\"),\n          validator: validator\n        }\n        |> Helpers.terminal_state()\n\n      validation ->\n        %{\n          oban_args: Helpers.completed(),\n          result: validation,\n          digest: Transport.Validators.JSONSchema.digest(validation),\n          validator: validator\n        }\n        |> Helpers.terminal_state()\n    end\n  end\n\n  defp perform_validation(%{\n         \"type\" => \"gtfs-rt\",\n         \"gtfs_url\" => gtfs_url,\n         \"gtfs_rt_url\" => gtfs_rt_url,\n         \"id\" => id\n       }) do\n    {gtfs_path, gtfs_rt_path} = {filename(id, \"gtfs\"), filename(id, \"gtfs-rt\")}\n\n    result =\n      [download_from_url(gtfs_url, gtfs_path), download_from_url(gtfs_rt_url, gtfs_rt_path)]\n      |> process_download()\n\n    remove_files([gtfs_path, gtfs_rt_path, gtfs_rt_result_path(gtfs_rt_path)])\n\n    result\n    |> Map.merge(%{\n      validated_data_name: gtfs_rt_url,\n      secondary_validated_data_name: gtfs_url,\n      digest: GTFSRT.digest(Map.get(result, :result, %{}))\n    })\n    |> Helpers.terminal_state()\n  end\n\n  defp normalize_download(result) do\n    case result do\n      {:error, reason} -> {:error, Helpers.error(reason)}\n      {:ok, path, _} -> {:ok, path}\n    end\n  end\n\n  defp remove_files(paths) do\n    paths |> Enum.each(&File.rm(&1))\n    paths |> Enum.each(&File.rmdir(Path.dirname(&1)))\n  end\n\n  defp process_download([{:ok, gtfs_path}, {:ok, gtfs_rt_path}]) do\n    run_save_gtfs_rt_validation(gtfs_path, gtfs_rt_path)\n  end\n\n  defp process_download(results) do\n    {_, oban_args} = results |> Enum.find(fn {k, _} -> k !== :ok end)\n    %{oban_args: oban_args}\n  end\n\n  @spec run_save_gtfs_rt_validation(binary(), binary(), ignore_shapes: boolean()) :: map()\n  defp run_save_gtfs_rt_validation(gtfs_path, gtfs_rt_path, opts \\\\ []) do\n    opts = Keyword.validate!(opts, ignore_shapes: false)\n    ignore_shapes = Keyword.fetch!(opts, :ignore_shapes)\n    validator_args = GTFSRT.validator_arguments(gtfs_path, gtfs_rt_path, opts)\n\n    case GTFSRT.run_validator(validator_args) do\n      {:ok, _} ->\n        case GTFSRT.convert_validator_report(gtfs_rt_result_path(gtfs_rt_path), opts) do\n          {:ok, validation} ->\n            # https://github.com/etalab/transport-site/issues/2390\n            # to do: transport-tools version when available\n            %{\n              oban_args: Helpers.completed(),\n              result: validation,\n              validator: GTFSRT.validator_name(),\n              command: inspect(validator_args)\n            }\n\n          :error ->\n            %{\n              oban_args: Helpers.error(\"Could not run validator. Please provide a GTFS and a GTFS-RT.\")\n            }\n        end\n\n      {:error, reason} ->\n        if not ignore_shapes and String.contains?(reason, \"java.lang.OutOfMemoryError\") do\n          run_save_gtfs_rt_validation(gtfs_path, gtfs_rt_path, ignore_shapes: true)\n        else\n          %{oban_args: Helpers.error(inspect(reason))}\n        end\n    end\n  end\n\n  def filename(validation_id, format) when format in [\"gtfs\", \"gtfs-rt\"] do\n    folder = System.tmp_dir!() |> Path.join(\"validation_#{validation_id}_gtfs_rt\")\n    File.mkdir_p!(folder)\n    extension = Map.fetch!(%{\"gtfs\" => \"zip\", \"gtfs-rt\" => \"bin\"}, format)\n    Path.join([folder, \"file.#{extension}\"])\n  end\n\n  def gtfs_rt_result_path(gtfs_rt_path) do\n    # https://github.com/MobilityData/gtfs-realtime-validator/blob/master/gtfs-realtime-validator-lib/README.md#output\n    gtfs_rt_path <> \".results.json\"\n  end\n\n  defp download_from_url(url, path) do\n    result =\n      case get_request(url) do\n        {:ok, %HTTPoison.Response{status_code: 200, body: body}} ->\n          Logger.debug(\"Saving #{url} to #{path}\")\n          File.write!(path, body)\n          {:ok, path, body}\n\n        {:ok, %HTTPoison.Response{status_code: status}} ->\n          {:error, \"Got a non 200 status: #{status} when downloading #{url}\"}\n\n        {:error, %HTTPoison.Error{reason: reason}} ->\n          {:error, \"Got an error: #{reason} when downloading #{url}\"}\n      end\n\n    normalize_download(result)\n  end\n\n  defp get_request(url) do\n    Transport.Shared.Wrapper.HTTPoison.impl().get(url, [],\n      follow_redirect: true,\n      recv_timeout: @download_timeout_ms,\n      timeout: @download_timeout_ms\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/periodic_reminder_producers_notification_job.ex",
    "content": "defmodule Transport.Jobs.PeriodicReminderProducersNotificationJob do\n  @moduledoc \"\"\"\n  This job sends emails to producers on the first Monday of a few months per year.\n  The goals are to:\n  - let them know that they could receive notifications\n  - review notification settings\n  - advertise about these features\n  - review settings regarding colleagues/organisations\n  - provide an opportunity to get in touch with our team\n\n  Emails may be sent over multiple days if we have a large number to send, to\n  avoid going over daily quotas and to spread the support load.\n  \"\"\"\n  @min_days_before_sending_again 90\n  @max_emails_per_day 100\n  @notification_reason Transport.NotificationReason.reason(:periodic_reminder_producers)\n\n  use Oban.Worker,\n    unique: [period: {@min_days_before_sending_again, :days}],\n    max_attempts: 3,\n    tags: [\"notifications\"]\n\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args, inserted_at: %DateTime{} = inserted_at}) when args == %{} or is_nil(args) do\n    date = DateTime.to_date(inserted_at)\n\n    if date == first_monday_of_month(date) do\n      relevant_contacts() |> schedule_jobs(inserted_at)\n    else\n      {:discard, \"Not the first Monday of the month\"}\n    end\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"contact_id\" => contact_id}}) do\n    contact =\n      DB.Contact.base_query()\n      |> preload([:organizations, notification_subscriptions: [:dataset]])\n      |> DB.Repo.get!(contact_id)\n\n    if sent_mail_recently?(contact) do\n      {:discard, \"Mail has already been sent recently\"}\n    else\n      if contact |> subscribed_as_producer?() do\n        send_mail_producer_with_subscriptions(contact)\n      else\n        send_mail_producer_without_subscriptions(contact)\n      end\n\n      :ok\n    end\n  end\n\n  defp relevant_contacts do\n    orgs_with_dataset =\n      DB.Dataset.base_query()\n      |> select([dataset: d], d.organization_id)\n      |> distinct(true)\n      |> DB.Repo.all()\n      |> MapSet.new()\n\n    # Identify contacts we want to reach:\n    # - they have at least a subscription as a producer (=> review settings)\n    # - they don't have subscriptions but they are a member of an org\n    #   with published datasets (=> advertise subscriptions)\n    DB.Contact.base_query()\n    |> preload([:organizations, :notification_subscriptions])\n    |> join(:left, [contact: c], c in assoc(c, :organizations), as: :organization)\n    |> order_by([organization: o], asc: o.id)\n    |> DB.Repo.all()\n    |> Enum.filter(fn %DB.Contact{organizations: orgs} = contact ->\n      org_has_published_dataset? = not MapSet.disjoint?(MapSet.new(orgs, & &1.id), orgs_with_dataset)\n\n      subscribed_as_producer?(contact) or org_has_published_dataset?\n    end)\n    |> Enum.uniq_by(& &1.id)\n  end\n\n  defp schedule_jobs(contacts, %DateTime{} = scheduled_at) do\n    contacts\n    |> Enum.map(fn %DB.Contact{id: id} -> id end)\n    |> Enum.chunk_every(chunk_size())\n    # credo:disable-for-next-line Credo.Check.Warning.UnusedEnumOperation\n    |> Enum.reduce(scheduled_at, fn ids, %DateTime{} = scheduled_at ->\n      ids\n      |> Enum.map(&(%{\"contact_id\" => &1} |> new(scheduled_at: scheduled_at)))\n      |> Oban.insert_all()\n\n      next_weekday(scheduled_at)\n    end)\n\n    :ok\n  end\n\n  def sent_mail_recently?(%DB.Contact{email: email}) do\n    dt_limit = DateTime.utc_now() |> DateTime.add(-@min_days_before_sending_again, :day)\n\n    DB.Notification\n    |> where([n], n.email_hash == ^email and n.reason == ^@notification_reason and n.inserted_at >= ^dt_limit)\n    |> DB.Repo.exists?()\n  end\n\n  defp send_mail_producer_without_subscriptions(%DB.Contact{organizations: orgs} = contact) do\n    datasets =\n      orgs\n      |> DB.Repo.preload(:datasets)\n      |> Enum.flat_map(& &1.datasets)\n      |> Enum.uniq()\n      |> Enum.filter(&DB.Dataset.active?/1)\n      |> Enum.sort_by(fn %DB.Dataset{custom_title: custom_title} -> custom_title end)\n\n    contact\n    |> Transport.UserNotifier.periodic_reminder_producers_no_subscriptions(datasets)\n    |> Transport.Mailer.deliver()\n\n    save_notification(contact, template_type: \"producer_without_subscriptions\")\n  end\n\n  defp send_mail_producer_with_subscriptions(%DB.Contact{} = contact) do\n    other_producers_subscribers = contact |> other_producers_subscribers()\n    datasets_subscribed = contact |> datasets_subscribed_as_producer()\n\n    contact\n    |> Transport.UserNotifier.periodic_reminder_producers_with_subscriptions(\n      datasets_subscribed,\n      other_producers_subscribers\n    )\n    |> Transport.Mailer.deliver()\n\n    save_notification(contact, template_type: \"producer_with_subscriptions\")\n  end\n\n  defp save_notification(%DB.Contact{id: contact_id, email: email}, template_type: template_type) do\n    DB.Notification.insert!(%{\n      contact_id: contact_id,\n      email: email,\n      reason: @notification_reason,\n      role: :producer,\n      payload: %{\"template_type\" => template_type}\n    })\n  end\n\n  @spec datasets_subscribed_as_producer(DB.Contact.t()) :: [DB.Dataset.t()]\n  def datasets_subscribed_as_producer(%DB.Contact{notification_subscriptions: subscriptions}) do\n    subscriptions\n    |> Enum.filter(&(&1.role == :producer))\n    |> Enum.map(& &1.dataset)\n    |> Enum.uniq()\n    |> Enum.sort_by(fn %DB.Dataset{custom_title: custom_title} -> custom_title end)\n  end\n\n  @spec subscribed_as_producer?(DB.Contact.t()) :: boolean()\n  def subscribed_as_producer?(%DB.Contact{notification_subscriptions: subscriptions}) do\n    Enum.any?(subscriptions, &match?(%DB.NotificationSubscription{role: :producer}, &1))\n  end\n\n  @spec other_producers_subscribers(DB.Contact.t()) :: [DB.Contact.t()]\n  def other_producers_subscribers(%DB.Contact{id: contact_id} = contact) do\n    dataset_ids = contact |> datasets_subscribed_as_producer() |> Enum.map(& &1.id)\n\n    dataset_ids\n    |> DB.NotificationSubscription.producer_subscriptions_for_datasets(contact_id)\n    |> Enum.map(& &1.contact)\n    |> Enum.uniq()\n    |> Enum.reject(&(&1.id == contact_id))\n  end\n\n  @doc \"\"\"\n  How many e-mails are we going to send per day?\n  Our daily free limit quota is set at 200 per day so we don't want to go over that.\n  We set the chunk size to 1 in the test env to test the scheduling logic.\n  \"\"\"\n  def chunk_size do\n    Application.get_env(:transport, :periodic_reminder_producers_chunk_size, @max_emails_per_day)\n  end\n\n  @doc \"\"\"\n  iex> first_monday_of_month(~D[2023-07-10])\n  ~D[2023-07-03]\n  iex> first_monday_of_month(~D[2023-08-07])\n  ~D[2023-08-07]\n  iex> first_monday_of_month(~D[2023-10-16])\n  ~D[2023-10-02]\n  iex> first_monday_of_month(~D[2024-01-08])\n  ~D[2024-01-01]\n  iex> first_monday_of_month(~D[2024-01-01])\n  ~D[2024-01-01]\n  \"\"\"\n  def first_monday_of_month(%Date{} = date) do\n    1..8\n    |> Enum.map(fn day -> %Date{date | day: day} end)\n    |> Enum.find(&(Date.day_of_week(&1) == 1))\n  end\n\n  @doc \"\"\"\n  Returns the following weekday, avoiding Saturdays and Sundays.\n\n  iex> next_weekday(~U[2023-07-28 09:05:00Z])\n  ~U[2023-07-31 09:05:00Z]\n  iex> next_weekday(~U[2023-07-29 09:05:00Z])\n  ~U[2023-07-31 09:05:00Z]\n  iex> next_weekday(~U[2023-07-30 09:05:00Z])\n  ~U[2023-07-31 09:05:00Z]\n  iex> next_weekday(~U[2023-07-31 09:05:00Z])\n  ~U[2023-08-01 09:05:00Z]\n  iex> next_weekday(~U[2023-08-01 09:05:00Z])\n  ~U[2023-08-02 09:05:00Z]\n  \"\"\"\n  def next_weekday(%DateTime{} = datetime) do\n    datetime = datetime |> DateTime.add(1, :day)\n\n    if (datetime |> DateTime.to_date() |> Date.day_of_week()) in [6, 7] do\n      next_weekday(datetime)\n    else\n      datetime\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/promote_producer_space_job.ex",
    "content": "defmodule Transport.Jobs.PromoteProducerSpaceJob do\n  @moduledoc \"\"\"\n  This job is executed when a contact logs in on the platform for the first time,\n  for all contacts.\n\n  If the contact is a producer, subscribe them to all producer notifications\n  and send them an email to introduce the producer space.\n\n  If the contact is a reuser, do nothing.\n  \"\"\"\n  use Oban.Worker, unique: [period: :infinity], max_attempts: 3\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"contact_id\" => contact_id}}) do\n    contact =\n      DB.Contact.base_query()\n      |> preload(organizations: :datasets)\n      |> where([contact: c], c.id == ^contact_id)\n      |> DB.Repo.one!()\n\n    datasets = Enum.flat_map(contact.organizations, & &1.datasets)\n\n    unless Enum.empty?(datasets) do\n      create_producer_subscriptions(contact, datasets)\n\n      {:ok, _} = Transport.UserNotifier.promote_producer_space(contact) |> Transport.Mailer.deliver()\n      save_notification(contact)\n    end\n\n    :ok\n  end\n\n  defp save_notification(%DB.Contact{id: contact_id, email: email}) do\n    DB.Notification.insert!(%{\n      contact_id: contact_id,\n      email: email,\n      reason: Transport.NotificationReason.reason(:promote_producer_space),\n      role: :producer\n    })\n  end\n\n  defp create_producer_subscriptions(%DB.Contact{id: contact_id}, datasets) do\n    reasons = Transport.NotificationReason.subscribable_reasons_related_to_datasets(:producer)\n\n    for reason <- reasons, %DB.Dataset{id: dataset_id} <- datasets do\n      # Do not use `insert!/1`: we may try to insert duplicates (existing subscriptions)\n      # and we leverage the changeset to ignore those.\n      DB.NotificationSubscription.insert(%{\n        role: :producer,\n        source: :\"automation:promote_producer_space\",\n        reason: reason,\n        contact_id: contact_id,\n        dataset_id: dataset_id\n      })\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/promote_reuser_space_job.ex",
    "content": "defmodule Transport.Jobs.PromoteReuserSpaceJob do\n  @moduledoc \"\"\"\n  Sends an email to a contact when they follow a dataset for\n  the first time using the button.\n  \"\"\"\n  use Oban.Worker, unique: [period: :infinity], max_attempts: 3\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"contact_id\" => contact_id}}) do\n    contact = DB.Repo.get!(DB.Contact, contact_id)\n\n    {:ok, _} = contact |> Transport.UserNotifier.promote_reuser_space() |> Transport.Mailer.deliver()\n\n    save_notification(contact)\n\n    :ok\n  end\n\n  defp save_notification(%DB.Contact{id: contact_id, email: email}) do\n    DB.Notification.insert!(%{\n      contact_id: contact_id,\n      email: email,\n      reason: Transport.NotificationReason.reason(:promote_reuser_space),\n      role: :reuser\n    })\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/refresh_autocomplete_job.ex",
    "content": "defmodule Transport.Jobs.RefreshAutocompleteJob do\n  @moduledoc \"\"\"\n  Job in charge refreshing the view `autocomplete`.\n\n  This is done to avoid a trigger on `dataset`.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    Ecto.Adapters.SQL.query!(DB.Repo, \"REFRESH MATERIALIZED VIEW autocomplete\")\n    :ok\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/remove_history_job.ex",
    "content": "defmodule Transport.Jobs.RemoveHistoryJob do\n  @moduledoc \"\"\"\n  This job removes `DB.ResourceHistory` rows and deletes S3 objects for:\n  - a given dataset type\n  - a given dataset ID\n  - with a specific `schema_name` and older than a given number of days\n\n  It does so in 2 steps:\n  - it marks relevant rows up for deletion\n  - the same job (but another `perform`) takes care of removing rows and deleting objects\n\n  This can be used to clean historicized resources that should not exist anymore.\n  \"\"\"\n  import Ecto.Query\n  use Oban.Worker, max_attempts: 3\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"dataset_type\" => dataset_type}}) do\n    DB.Dataset\n    |> where([d], d.type == ^dataset_type)\n    |> DB.Repo.all()\n    |> Enum.filter(&DB.Dataset.should_skip_history?/1)\n    |> Enum.map(&__MODULE__.new(%{\"dataset_id\" => &1.id}))\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"action\" => \"remove\", \"dataset_id\" => dataset_id} = args})\n      when is_integer(dataset_id) do\n    objects =\n      DB.ResourceHistory\n      |> where(\n        [rh],\n        fragment(\"payload \\\\? 'mark_for_deletion'\") and\n          fragment(\"cast(payload->>'dataset_id' as bigint) = ?\", ^dataset_id)\n      )\n      |> limit(50)\n      |> DB.Repo.all()\n\n    remove_objects_and_enqueue_job(objects, args)\n    :ok\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"action\" => \"remove\"} = args}) do\n    objects =\n      DB.ResourceHistory.base_query()\n      |> where([resource_history: rh], fragment(\"payload \\\\? 'mark_for_deletion'\"))\n      |> limit(50)\n      |> DB.Repo.all()\n\n    remove_objects_and_enqueue_job(objects, args)\n\n    :ok\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"dataset_id\" => dataset_id} = args}) when is_integer(dataset_id) do\n    if DB.Dataset.should_skip_history?(DB.Repo.get!(DB.Dataset, dataset_id)) do\n      DB.ResourceHistory\n      |> where([rh], fragment(\"cast(payload->>'dataset_id' as bigint) = ?\", ^dataset_id))\n      |> select([rh], rh.id)\n      |> DB.Repo.all()\n      |> mark_for_deletion()\n\n      args |> Map.put(\"action\", \"remove\") |> __MODULE__.new() |> Oban.insert!()\n\n      :ok\n    else\n      {:cancel, \"Cannot remove history rows for dataset##{dataset_id} because it should not be skipped\"}\n    end\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"schema_name\" => schema_name, \"days_limit\" => days_limit}})\n      when is_integer(days_limit) and days_limit > 0 do\n    datetime_limit = DateTime.utc_now() |> DateTime.add(-days_limit, :day)\n\n    DB.ResourceHistory.base_query()\n    |> where(\n      [resource_history: rh],\n      fragment(\"?->>'schema_name' = ?\", rh.payload, ^schema_name) and rh.inserted_at < ^datetime_limit\n    )\n    |> select([resource_history: rh], rh.id)\n    |> DB.Repo.all()\n    |> mark_for_deletion()\n\n    %{\"action\" => \"remove\"} |> __MODULE__.new() |> Oban.insert!()\n\n    :ok\n  end\n\n  defp remove_objects_and_enqueue_job(objects, %{\"action\" => \"remove\"} = job_args) do\n    unless Enum.empty?(objects) do\n      remove_s3_objects(objects |> Enum.map(&Map.fetch!(&1.payload, \"filename\")))\n      remove_resource_history_rows(objects |> Enum.map(& &1.id))\n      job_args |> __MODULE__.new(schedule_in: 60 * 60 * 3) |> Oban.insert!()\n    end\n  end\n\n  defp mark_for_deletion(ids) do\n    DB.ResourceHistory.base_query()\n    |> where([resource_history: rh], rh.id in ^ids)\n    |> update(set: [payload: fragment(\"jsonb_set(payload, '{mark_for_deletion}', 'true')\")])\n    |> DB.Repo.update_all([])\n  end\n\n  defp remove_resource_history_rows(ids) do\n    DB.ResourceHistory.base_query() |> where([resource_history: rh], rh.id in ^ids) |> DB.Repo.delete_all()\n  end\n\n  defp remove_s3_objects(paths) do\n    paths |> Enum.each(&Transport.S3.delete_object!(:history, &1))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/resource_history_job.ex",
    "content": "defmodule Transport.Jobs.ResourceHistoryAndValidationDispatcherJob do\n  @moduledoc \"\"\"\n  Job in charge of dispatching multiple `ResourceHistoryJob`\n  \"\"\"\n  use Oban.Worker, unique: [period: {5, :hours}], tags: [\"history\"], max_attempts: 5\n  require Logger\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"mode\" => \"reuser_improved_data\"}}) do\n    DB.ReuserImprovedData.base_query()\n    |> select([reuser_improved_data: rid], rid.id)\n    |> DB.Repo.all()\n    |> Enum.map(fn reuser_improved_data_id ->\n      %{reuser_improved_data_id: reuser_improved_data_id}\n      |> Transport.Jobs.ResourceHistoryJob.historize_and_validate_job()\n    end)\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  @impl Oban.Worker\n  def perform(_job) do\n    resource_ids = Enum.map(resources_to_historise(), & &1.id)\n\n    Logger.debug(\"Dispatching #{Enum.count(resource_ids)} ResourceHistoryJob jobs\")\n\n    resource_ids\n    |> Enum.map(fn resource_id ->\n      %{resource_id: resource_id} |> Transport.Jobs.ResourceHistoryJob.historize_and_validate_job()\n    end)\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  def resources_to_historise(resource_id \\\\ nil) do\n    dataset_ids = DB.Dataset.base_with_hidden_datasets() |> select([dataset: d], d.id)\n\n    base_query =\n      DB.Resource.base_query()\n      |> where([resource: r], not is_nil(r.url) and not is_nil(r.title))\n      |> where([resource: r], not r.is_community_resource)\n      |> where([resource: r], like(r.url, \"http%\"))\n      |> where([resource: r], r.dataset_id in subquery(dataset_ids))\n      |> preload(:dataset)\n\n    query = if is_nil(resource_id), do: base_query, else: where(base_query, [resource: r], r.id == ^resource_id)\n\n    query\n    |> DB.Repo.all()\n    |> Enum.reject(\n      &(DB.Resource.real_time?(&1) or DB.Resource.documentation?(&1) or DB.Dataset.should_skip_history?(&1.dataset))\n    )\n  end\nend\n\ndefmodule Transport.Jobs.ResourceHistoryJob do\n  @moduledoc \"\"\"\n  Job historicising a single `DB.Resource` or a `DB.ReuserImprovedData`.\n  \"\"\"\n  use Oban.Worker, unique: [period: {5, :hours}, fields: [:args, :queue, :worker]], tags: [\"history\"], max_attempts: 5\n  require Logger\n  import Ecto.Query\n  alias Transport.Schemas.Wrapper, as: Schemas\n  import Transport.Jobs.Workflow.Notifier, only: [notify_workflow: 2]\n\n  @headers_to_keep [\n    \"content-disposition\",\n    \"content-encoding\",\n    \"content-length\",\n    \"content-type\",\n    \"etag\",\n    \"expires\",\n    \"if-modified-since\",\n    \"last-modified\"\n  ]\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"resource_id\" => resource_id}} = job) do\n    Logger.info(\"Running ResourceHistoryJob for resource##{resource_id}\")\n\n    resource_id\n    |> Transport.Jobs.ResourceHistoryAndValidationDispatcherJob.resources_to_historise()\n    |> handle_history(job)\n  end\n\n  def perform(%Oban.Job{args: %{\"reuser_improved_data_id\" => reuser_improved_data_id}} = job) do\n    DB.Repo.get!(DB.ReuserImprovedData, reuser_improved_data_id)\n    |> handle_history(job)\n  end\n\n  defp handle_history([], %Oban.Job{} = job) do\n    reason = \"Resource should not be historicised\"\n    notify_workflow(job, %{\"success\" => false, \"job_id\" => job.id, \"reason\" => reason})\n    {:cancel, reason}\n  end\n\n  defp handle_history([%DB.Resource{} = resource], %Oban.Job{} = job) do\n    do_handle_history(resource, job)\n  end\n\n  defp handle_history(%DB.ReuserImprovedData{} = reuser_improved_data, %Oban.Job{} = job) do\n    do_handle_history(reuser_improved_data, job)\n  end\n\n  defp do_handle_history(data, %Oban.Job{} = job) do\n    path = download_path(data)\n\n    notification =\n      try do\n        %{resource_history_id: resource_history_id} =\n          download_resource(data, path) |> process_download(data)\n\n        %{\"success\" => true, \"job_id\" => job.id, \"output\" => %{resource_history_id: resource_history_id}}\n      rescue\n        e ->\n          %{\"success\" => false, \"job_id\" => job.id, \"reason\" => inspect(e)}\n      after\n        remove_file(path)\n      end\n\n    notify_workflow(job, notification)\n    :ok\n  end\n\n  @impl Oban.Worker\n  def timeout(_job), do: :timer.minutes(2)\n\n  defp process_download({:error, message}, %DB.Resource{id: resource_id}) do\n    # Good opportunity to add a :telemetry event\n    # Consider storing in our database that the resource\n    # was not available.\n    Logger.debug(\"Got an error while downloading resource##{resource_id}: #{message}\")\n  end\n\n  defp process_download({:ok, resource_path, headers}, resource_or_improved_data) do\n    download_datetime = DateTime.utc_now()\n\n    hash = resource_hash(resource_or_improved_data, resource_path)\n\n    case should_store_resource?(resource_or_improved_data, hash) do\n      true ->\n        filename = upload_filename(resource_or_improved_data, resource_path, download_datetime)\n\n        base = %{\n          download_datetime: download_datetime,\n          uuid: Ecto.UUID.generate(),\n          http_headers: headers,\n          filename: filename,\n          permanent_url: Transport.S3.permanent_url(:history, filename)\n        }\n\n        data =\n          if Transport.ZipMetaDataExtractor.zip?(resource_path) do\n            total_compressed_size = hash |> Enum.map(& &1.compressed_size) |> Enum.sum()\n\n            Map.merge(base, %{\n              zip_metadata: hash,\n              filenames: hash |> Enum.map(& &1.file_name),\n              total_uncompressed_size: hash |> Enum.map(& &1.uncompressed_size) |> Enum.sum(),\n              total_compressed_size: total_compressed_size,\n              filesize: total_compressed_size\n            })\n          else\n            %{size: size} = File.stat!(resource_path)\n            Map.merge(base, %{content_hash: hash, filesize: size})\n          end\n\n        Transport.S3.stream_to_s3!(:history, resource_path, filename, acl: :public_read)\n        %{id: resource_history_id} = store_resource_history!(resource_or_improved_data, data)\n        Appsignal.increment_counter(\"resource_history_job.success\", 1)\n        %{resource_history_id: resource_history_id}\n\n      {false, history} ->\n        Appsignal.increment_counter(\"resource_history_job.skipped\", 1)\n        touch_resource_history!(history)\n        %{resource_history_id: history.id}\n\n      false ->\n        Appsignal.increment_counter(\"resource_history_job.failed\", 1)\n        Logger.error(\"Historization failed for #{inspect(resource_or_improved_data)}\")\n        {:error, \"historization failed\"}\n    end\n  end\n\n  @doc \"\"\"\n  Determine if we would historicise a payload now.\n\n  We should historicise a resource if:\n  - we never historicised it\n  - the latest ResourceHistory payload is different than the current state\n  \"\"\"\n  def should_store_resource?(_, []), do: false\n  def should_store_resource?(_, nil), do: false\n\n  def should_store_resource?(%DB.Resource{id: resource_id}, resource_hash) do\n    DB.ResourceHistory\n    |> where([r], r.resource_id == ^resource_id)\n    |> order_by(desc: :inserted_at)\n    |> limit(1)\n    |> DB.Repo.one()\n    |> compare_history(resource_hash)\n  end\n\n  def should_store_resource?(%DB.ReuserImprovedData{id: reuser_improved_data_id}, resource_hash) do\n    DB.ResourceHistory\n    |> where([r], r.reuser_improved_data_id == ^reuser_improved_data_id)\n    |> order_by(desc: :inserted_at)\n    |> limit(1)\n    |> DB.Repo.one()\n    |> compare_history(resource_hash)\n  end\n\n  defp compare_history(history, resource_hash) do\n    case {history, same_resource?(history, resource_hash)} do\n      {nil, _} -> true\n      {_history, false} -> true\n      {history, true} -> {false, history}\n    end\n  end\n\n  @doc \"\"\"\n  Determines if a ZIP metadata payload is the same that was stored in\n  the latest resource_history's row in the database by comparing sha256\n  hashes for all files in the ZIP.\n  \"\"\"\n  def same_resource?(%DB.ResourceHistory{payload: %{\"zip_metadata\" => rh_zip_metadata}}, zip_metadata) do\n    MapSet.equal?(set_of_sha256(rh_zip_metadata), set_of_sha256(zip_metadata))\n  end\n\n  def same_resource?(%DB.ResourceHistory{payload: %{\"content_hash\" => rh_content_hash}}, content_hash) do\n    rh_content_hash == content_hash\n  end\n\n  def same_resource?(nil, _), do: false\n\n  def set_of_sha256(items) do\n    items |> Enum.map(&{map_get(&1, :file_name), map_get(&1, :sha256)}) |> MapSet.new()\n  end\n\n  defp resource_hash(data, resource_path) do\n    if Transport.ZipMetaDataExtractor.zip?(resource_path) do\n      try do\n        Transport.ZipMetaDataExtractor.extract!(resource_path)\n      rescue\n        _ ->\n          case data do\n            %DB.Resource{} = resource ->\n              Logger.error(\"Cannot compute ZIP metadata for resource##{resource.id}\")\n\n            _ ->\n              :ok\n          end\n\n          nil\n      end\n    else\n      Hasher.get_file_hash(resource_path)\n    end\n  end\n\n  def map_get(map, key) when is_atom(key) do\n    Map.get(map, key) || Map.get(map, to_string(key))\n  end\n\n  defp store_resource_history!(%DB.Resource{} = resource, payload) do\n    %DB.ResourceHistory{\n      datagouv_id: resource.datagouv_id,\n      resource_id: resource.id,\n      payload:\n        Map.merge(payload, %{\n          resource_url: resource.url,\n          resource_latest_url: resource.latest_url,\n          title: resource.title,\n          format: resource.format,\n          dataset_id: resource.dataset_id,\n          schema_name: resource.schema_name,\n          schema_version: resource.schema_version,\n          latest_schema_version_to_date: latest_schema_version_to_date(resource)\n        }),\n      last_up_to_date_at: DateTime.utc_now()\n    }\n    |> DB.Repo.insert!()\n  end\n\n  defp store_resource_history!(%DB.ReuserImprovedData{id: reuser_improved_data_id}, payload) do\n    %DB.ResourceHistory{\n      reuser_improved_data_id: reuser_improved_data_id,\n      payload: Map.merge(payload, %{format: \"GTFS\"}),\n      last_up_to_date_at: DateTime.utc_now()\n    }\n    |> DB.Repo.insert!()\n  end\n\n  defp touch_resource_history!(%DB.ResourceHistory{id: id, resource_id: resource_id} = history) do\n    Logger.debug(\"Touching unchanged ResourceHistory #{id} for resource##{resource_id}\")\n\n    history |> Ecto.Changeset.change(%{last_up_to_date_at: DateTime.utc_now()}) |> DB.Repo.update!()\n  end\n\n  defp download_path(%DB.Resource{id: resource_id}) do\n    System.tmp_dir!() |> Path.join(\"resource_#{resource_id}_download\")\n  end\n\n  defp download_path(%DB.ReuserImprovedData{id: reuser_improved_data_id}) do\n    System.tmp_dir!() |> Path.join(\"reuser_improved_data_#{reuser_improved_data_id}_download\")\n  end\n\n  def download_resource(%DB.Resource{url: url}, file_path) do\n    download_resource(url, file_path)\n  end\n\n  def download_resource(%DB.ReuserImprovedData{download_url: download_url}, file_path) do\n    download_resource(download_url, file_path)\n  end\n\n  def download_resource(url, file_path) when is_binary(url) do\n    file_stream = File.stream!(file_path)\n    req_options = [compressed: false, decode_body: false, receive_timeout: 180_000, into: file_stream]\n\n    case Transport.Req.impl().get(url, req_options) do\n      {:ok, %{status: 200} = r} ->\n        {:ok, file_path, relevant_http_headers(r)}\n\n      {:ok, %{status: status_code}} ->\n        # NOTE: the file is still on disk at this point\n        {:error, \"Got a non 200 status: #{status_code}\"}\n\n      {:error, error} ->\n        {:error, \"Got an error: #{error |> inspect}\"}\n    end\n  end\n\n  def http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\n\n  def remove_file(path), do: File.rm(path)\n\n  def upload_filename(%DB.Resource{id: resource_id} = resource, resource_path, %DateTime{} = dt) do\n    time = Calendar.strftime(dt, \"%Y%m%d.%H%M%S.%f\")\n\n    \"#{resource_id}/#{resource_id}.#{time}#{file_extension(resource, resource_path)}\"\n  end\n\n  def upload_filename(\n        %DB.ReuserImprovedData{id: reuser_improved_data_id} = reuser_improved_data,\n        resource_path,\n        %DateTime{} = dt\n      ) do\n    time = Calendar.strftime(dt, \"%Y%m%d.%H%M%S.%f\")\n\n    \"reuser_improved_data_#{reuser_improved_data_id}/#{reuser_improved_data_id}.#{time}#{file_extension(reuser_improved_data, resource_path)}\"\n  end\n\n  @doc \"\"\"\n  Guess an appropriate file extension according to a format.\n  \"\"\"\n  def file_extension(%DB.Resource{format: format}, resource_path) do\n    if Transport.ZipMetaDataExtractor.zip?(resource_path) do\n      \".zip\"\n    else\n      \".\" <> (format |> String.downcase() |> String.replace_prefix(\".\", \"\"))\n    end\n  end\n\n  def file_extension(%DB.ReuserImprovedData{}, resource_path) do\n    if Transport.ZipMetaDataExtractor.zip?(resource_path) do\n      \".zip\"\n    else\n      raise \"not implemented\"\n    end\n  end\n\n  def relevant_http_headers(%HTTPoison.Response{headers: headers}) do\n    headers |> Enum.into(%{}, fn {h, v} -> {String.downcase(h), v} end) |> Map.take(@headers_to_keep)\n  end\n\n  @doc \"\"\"\n    Extract only the HTTP headers we need. Concatenate them if multiple values are found (rare but can occur if we\n    allow more headers).\n\n    iex> relevant_http_headers(%Req.Response{headers: %{\"foo\" => [\"bar\"]}})\n    %{}\n    iex> relevant_http_headers(%Req.Response{headers: %{\"content-type\" => [\"application/json\"]}})\n    %{\"content-type\" => \"application/json\"}\n    iex> relevant_http_headers(%Req.Response{headers: %{\"content-type\" => [\"application/json\", \"but-also/csv\"]}})\n    %{\"content-type\" => \"application/json, but-also/csv\"}\n\n    Resist to ill-formed attachments (https://github.com/etalab/transport-site/issues/3984)\n\n    Supports latin1 (ISO-8859-1) headers\n    iex> relevant_http_headers(%Req.Response{headers: %{\"content-disposition\" => [\"attachment; filename=\\\\\"\" <> <<233, 233, 232>> <> \".zip\\\\\"\"]}})\n    %{\"content-disposition\" => \"attachment; filename=\\\\\"ééè.zip\\\\\"\"}\n\n    Still support UTF-8 header (http2)\n    iex> relevant_http_headers(%Req.Response{headers: %{\"content-disposition\" => [\"attachment; filename=\\\\\"éè.zip\\\\\"\"]}})\n    %{\"content-disposition\" => \"attachment; filename=\\\\\"éè.zip\\\\\"\"}\n    iex> relevant_http_headers(%Req.Response{headers: %{\"content-disposition\" => [~S(attachment; filename=\"éè.zip\")]}})\n    %{\"content-disposition\" => \"attachment; filename=\\\\\"éè.zip\\\\\"\"}\n  \"\"\"\n  def relevant_http_headers(%Req.Response{headers: headers}) do\n    headers\n    |> Map.take(@headers_to_keep)\n    |> Enum.into(%{}, fn {h, v} -> {String.downcase(h), v |> Enum.map_join(\", \", &cleanup_header(h, &1))} end)\n  end\n\n  defp cleanup_header(\"content-disposition\", binary) do\n    if String.valid?(binary) do\n      # UTF-8 binary, nothing to do\n      binary\n    else\n      # Latin1 binary (old specification), let's transcode\n      :erlang.binary_to_list(binary) |> :unicode.characters_to_binary(:latin1, :utf8)\n    end\n  end\n\n  defp cleanup_header(_header, binary), do: binary\n\n  defp latest_schema_version_to_date(%DB.Resource{schema_name: nil}), do: nil\n\n  defp latest_schema_version_to_date(%DB.Resource{schema_name: schema_name}) do\n    Schemas.latest_version(schema_name)\n  end\n\n  @spec historize_and_validate_job(%{resource_id: integer()} | %{reuser_improved_data_id: integer()}, keyword()) ::\n          Oban.Job.changeset()\n  def historize_and_validate_job(first_jobs_args, options \\\\ []) do\n    history_options = options |> Keyword.get(:history_options, []) |> Transport.Jobs.Workflow.kw_to_map()\n    validation_custom_args = options |> Keyword.get(:validation_custom_args, %{})\n\n    # jobs is a list of jobs that will be enqueued as a workflow.\n    # if ResourceHistoryJob is a success, ResourceHistoryValidationJob will be enqueued.\n    jobs = [\n      [Transport.Jobs.ResourceHistoryJob, %{}, history_options],\n      [Transport.Jobs.ResourceHistoryValidationJob, validation_custom_args, %{}]\n    ]\n\n    Transport.Jobs.Workflow.new(%{jobs: jobs, first_job_args: first_jobs_args})\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/resource_history_jsonschema_validation_job.ex",
    "content": "defmodule Transport.Jobs.ResourceHistoryJSONSchemaValidationJob do\n  @moduledoc \"\"\"\n  Validate a `DB.ResourceHistory` and stores the result in the database.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, queue: :resource_validation, tags: [\"validation\"]\n  alias Transport.Jobs.ResourceHistorySchemaValidation\n\n  @doc \"\"\"\n  `perform/1` can:\n  - Validate a single `DB.ResourceHistory` using the JSON Schema validator.\n    Make sure the `DB.ResourceHistory` has a JSON Schema schema otherwise the\n    validator will raise an error.\n  - Enqueue validation jobs for all `DB.ResourceHistory` with a JSON Schema\n    that have not been validated yet.\n  \"\"\"\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"resource_history_id\" => resource_history_id}}) when is_integer(resource_history_id) do\n    ResourceHistorySchemaValidation.validate_resource_history_for_schema(resource_history_id, validator())\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    ResourceHistorySchemaValidation.enqueue_jobs_for_schema_type(\"jsonschema\", __MODULE__, validator())\n  end\n\n  def validator, do: Transport.Validators.JSONSchema\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/resource_history_schema_validation.ex",
    "content": "defmodule Transport.Jobs.ResourceHistorySchemaValidation do\n  @moduledoc \"\"\"\n  A module to share common methods used to identify `DB.ResourceHistory` with\n  a schema and validate them against a schema.\n\n  It deals with JSON Schema and Table Schema.\n  \"\"\"\n  import Ecto.Query\n  alias Transport.Schemas.Wrapper, as: Schemas\n\n  def validate_resource_history_for_schema(resource_history_id, validator) do\n    resource_history = DB.ResourceHistory |> DB.Repo.get!(resource_history_id)\n\n    if resource_history |> DB.MultiValidation.already_validated?(validator) do\n      {:cancel, \"resource history #{resource_history_id} is already validated by #{validator.validator_name()}\"}\n    else\n      :ok = validator.validate_and_save(resource_history)\n    end\n  end\n\n  def enqueue_jobs_for_schema_type(schema_type, validation_job_module, validator)\n      when schema_type in [\"tableschema\", \"jsonschema\"] do\n    validator_name = validator.validator_name()\n    schemas = schema_type |> Schemas.schemas_by_type() |> Map.keys()\n\n    DB.ResourceHistory.base_query()\n    |> join(:left, [resource_history: rh], mv in DB.MultiValidation,\n      on: mv.resource_history_id == rh.id and mv.validator == ^validator_name,\n      as: :multi_validation\n    )\n    |> where([resource_history: _rh], fragment(\"payload ->>'schema_name'\") in ^schemas)\n    |> where([multi_validation: mv], is_nil(mv.id))\n    |> select([resource_history: rh], rh.id)\n    |> DB.Repo.all()\n    |> Enum.each(fn resource_history_id ->\n      %{resource_history_id: resource_history_id} |> validation_job_module.new() |> Oban.insert!()\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/resource_history_tableschema_validation_job.ex",
    "content": "defmodule Transport.Jobs.ResourceHistoryTableSchemaValidationJob do\n  @moduledoc \"\"\"\n  Validate a `DB.ResourceHistory` and stores the result in the database.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, queue: :resource_validation, tags: [\"validation\"]\n  alias Transport.Jobs.ResourceHistorySchemaValidation\n\n  @doc \"\"\"\n  `perform/1` can:\n  - Validate a single `DB.ResourceHistory` using the Table Schema validator.\n    Make sure the `DB.ResourceHistory` has a Table Schema schema otherwise the\n    validator will raise an error.\n  - Enqueue validation jobs for all `DB.ResourceHistory` with a Table Schema\n    that have not been validated yet.\n  \"\"\"\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"resource_history_id\" => resource_history_id}}) when is_integer(resource_history_id) do\n    ResourceHistorySchemaValidation.validate_resource_history_for_schema(resource_history_id, validator())\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    ResourceHistorySchemaValidation.enqueue_jobs_for_schema_type(\"tableschema\", __MODULE__, validator())\n  end\n\n  def validator, do: Transport.Validators.TableSchema\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/resource_history_validata_json_job.ex",
    "content": "defmodule Transport.Jobs.ResourceHistoryValidataJSONJob do\n  @moduledoc \"\"\"\n  Validate a `DB.ResourceHistory` with Transport.Validators.ValidataJson and stores the result in the database.\n\n  ⚠️ This job is not executed at the moment.\n  https://github.com/etalab/transport-site/issues/3492\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, queue: :resource_validation, tags: [\"validation\"]\n  alias Transport.Jobs.ResourceHistorySchemaValidation\n\n  @doc \"\"\"\n  `perform/1` can:\n  - Validate a single `DB.ResourceHistory` using the Validata JSON validator.\n    Make sure the `DB.ResourceHistory` has a JSON Schema schema otherwise the\n    validator will raise an error.\n  - Enqueue validation jobs for all `DB.ResourceHistory` with a JSON Schema\n    that have not been validated yet.\n  \"\"\"\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"resource_history_id\" => resource_history_id}}) when is_integer(resource_history_id) do\n    ResourceHistorySchemaValidation.validate_resource_history_for_schema(resource_history_id, validator())\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    ResourceHistorySchemaValidation.enqueue_jobs_for_schema_type(\"jsonschema\", __MODULE__, validator())\n  end\n\n  def validator, do: Transport.Validators.ValidataJson\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/resource_history_validation_job.ex",
    "content": "defmodule Transport.Jobs.ResourceHistoryValidationJob do\n  @moduledoc \"\"\"\n  Validate a resource history and stores result in DB\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, queue: :resource_validation, tags: [\"validation\"]\n\n  # wait for https://github.com/sorentwo/oban/issues/704 response\n  # unique: [period: 5 * 60]\n\n  import Ecto.Query\n\n  @doc \"\"\"\n  Launch validation(s) on resource history.\n  Depending on the arguments given, can launch one validation or many.\n  It is handy to group validations per validator, to easily check which resource history\n  are already validated.\n  \"\"\"\n  # select all resource history with given format\n  # validate them with one validator\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"format\" => format, \"validator\" => validator} = args}) do\n    force_validation = args |> Map.get(\"force_validation\", false)\n    only_latest_resource_history = args |> Map.get(\"only_latest_resource_history\", false)\n\n    validator = String.to_existing_atom(validator)\n    validator_name = validator.validator_name()\n\n    filter_force_validation = fn query ->\n      case force_validation do\n        true ->\n          query |> where([rh, mv], fragment(\"payload->>'format' = ?\", ^format))\n\n        false ->\n          query |> where([rh, mv], fragment(\"payload->>'format' = ?\", ^format) and is_nil(mv.id))\n      end\n    end\n\n    filter_only_latest_resource_history = fn query ->\n      case only_latest_resource_history do\n        true -> query |> distinct([rh], rh.resource_id)\n        false -> query\n      end\n    end\n\n    DB.ResourceHistory\n    |> join(:left, [rh], mv in DB.MultiValidation,\n      on: rh.id == mv.resource_history_id and mv.validator == ^validator_name\n    )\n    |> filter_force_validation.()\n    |> filter_only_latest_resource_history.()\n    |> order_by([rh], desc: rh.inserted_at)\n    |> select([rh], rh.id)\n    |> DB.Repo.all()\n    |> Enum.each(fn id ->\n      %{resource_history_id: id, validator: validator, force_validation: force_validation}\n      |> Transport.Jobs.ResourceHistoryValidationJob.new()\n      |> Oban.insert!()\n    end)\n\n    :ok\n  end\n\n  # validate one resource history with one validator\n  @impl Oban.Worker\n  def perform(%Oban.Job{\n        args: %{\"resource_history_id\" => resource_history_id, \"validator\" => validator_string} = args\n      })\n      when is_integer(resource_history_id) do\n    force_validation = args |> Map.get(\"force_validation\", false)\n    validator = String.to_existing_atom(validator_string)\n    resource_history = DB.ResourceHistory |> DB.Repo.get!(resource_history_id)\n\n    validate(resource_history, validator, force_validation)\n  end\n\n  # validate one resource history with all validators\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"resource_history_id\" => resource_history_id} = args})\n      when is_integer(resource_history_id) do\n    force_validation = args |> Map.get(\"force_validation\", false)\n    resource_history = DB.ResourceHistory |> DB.Repo.get!(resource_history_id)\n\n    resource_history\n    |> Transport.ValidatorsSelection.validators()\n    |> Enum.each(fn validator -> validate(resource_history, validator, force_validation) end)\n\n    :ok\n  end\n\n  defp validate(%DB.ResourceHistory{} = resource_history, validator, force_validation) do\n    run_validation(resource_history, validator, force_validation)\n  end\n\n  defp run_validation(%DB.ResourceHistory{} = resource_history, validator, force_validation) do\n    case DB.MultiValidation.resource_history_latest_validation(resource_history.id, validator) do\n      nil ->\n        :ok = validator.validate_and_save(resource_history)\n        :ok\n\n      latest_validation ->\n        if force_validation do\n          :ok = validator.validate_and_save(resource_history)\n          # delete previous validation, corresponding resource metadata is automatically deleted\n          DB.Repo.delete(latest_validation)\n          :ok\n        else\n          {:cancel, \"ResourceHistory##{resource_history.id} is already validated by #{Atom.to_string(validator)}\"}\n        end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/resource_unavailable_job.ex",
    "content": "defmodule Transport.Jobs.ResourcesUnavailableDispatcherJob do\n  @moduledoc \"\"\"\n  Job in charge of dispatching multiple `ResourceUnavailableJob`\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  require Logger\n  import Ecto.Query\n  alias DB.{Repo, Resource, ResourceUnavailability}\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args}) do\n    resource_ids = resources_to_check(Map.get(args, \"only_unavailable\", false))\n\n    Logger.debug(\"Dispatching #{Enum.count(resource_ids)} ResourceUnavailableJob jobs\")\n\n    Enum.each(resource_ids, fn resource_id ->\n      %{resource_id: resource_id}\n      |> Transport.Jobs.ResourceUnavailableJob.new()\n      |> Oban.insert!()\n    end)\n\n    :ok\n  end\n\n  def resources_to_check(false = _only_unavailable) do\n    DB.Dataset.base_with_hidden_datasets()\n    |> DB.Resource.join_dataset_with_resource()\n    |> where([resource: r], not r.is_community_resource and like(r.url, \"http%\"))\n    |> select([resource: r], r.id)\n    |> Repo.all()\n  end\n\n  def resources_to_check(true = _only_unavailable) do\n    ResourceUnavailability\n    |> where([r], is_nil(r.end))\n    |> select([r], r.resource_id)\n    |> Repo.all()\n  end\nend\n\ndefmodule Transport.Jobs.ResourceUnavailableJob do\n  @moduledoc \"\"\"\n  This job:\n  - Updates the URL if needed by following the latest_url for files stored on data.gouv.fr\n  - For all resources, check whether a resource is available over HTTP. If not: it creates an unavailability in the database\n  - Updates is_available if the availability of the resource has changed\n  \"\"\"\n  use Oban.Worker, unique: [period: {9, :minutes}], max_attempts: 5\n  require Logger\n  alias DB.{Repo, Resource, ResourceUnavailability}\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"resource_id\" => resource_id}}) do\n    Logger.info(\"Running ResourceUnavailableJob for #{resource_id}\")\n\n    Resource\n    |> Repo.get!(resource_id)\n    |> DB.Repo.preload(:dataset)\n    |> maybe_update_url()\n    |> historize_resource()\n    |> check_availability()\n    |> update_resource()\n    |> create_or_update_resource_unavailability()\n  end\n\n  # We only update url for filetype : \"file\" = hosted on data.gouv.fr\n  defp maybe_update_url(%Resource{filetype: \"file\", url: url, latest_url: latest_url} = resource) do\n    case follow(latest_url) do\n      {:ok, 200 = _status_code, final_url} when final_url != url ->\n        resource = resource |> Ecto.Changeset.change(%{url: final_url}) |> Repo.update!()\n        {:updated, resource}\n\n      _ ->\n        {:no_op, resource}\n    end\n  end\n\n  defp maybe_update_url(%Resource{} = resource), do: {:no_op, resource}\n\n  defp historize_resource({:no_op, %Resource{}} = payload), do: payload\n\n  defp historize_resource({:updated, %Resource{id: resource_id}} = payload) do\n    %{resource_id: resource_id}\n    |> Transport.Jobs.ResourceHistoryJob.historize_and_validate_job(history_options: [unique: nil])\n    |> Oban.insert!()\n\n    payload\n  end\n\n  # We've just updated the URL by following it until we got a 200, so it's available\n  defp check_availability({:updated, %Resource{} = resource}) do\n    {true, resource}\n  end\n\n  defp check_availability({:no_op, %Resource{id: resource_id, format: format} = resource}) do\n    if resource_id in skip_resource_ids() do\n      {true, resource}\n    else\n      download_url = Resource.download_url(resource)\n      is_available = Transport.AvailabilityChecker.Wrapper.available?(format, download_url)\n      {is_available, resource}\n    end\n  end\n\n  @doc \"\"\"\n  Returns the list of resource IDs that should always be considered as available.\n  \"\"\"\n  def skip_resource_ids do\n    Application.fetch_env!(:transport, :resource_unavailable_skip_resource_ids)\n  end\n\n  defp update_resource({is_available, %Resource{} = resource}) do\n    resource = resource |> Resource.changeset(%{is_available: is_available}) |> DB.Repo.update!()\n    {is_available, resource}\n  end\n\n  def create_or_update_resource_unavailability({false = _is_available, %Resource{} = resource}) do\n    case ResourceUnavailability.ongoing_unavailability(resource) do\n      nil ->\n        %ResourceUnavailability{resource: resource, start: now()}\n        |> Repo.insert!()\n\n        :ok\n\n      %ResourceUnavailability{} ->\n        :ok\n    end\n  end\n\n  def create_or_update_resource_unavailability({true = _is_available, %Resource{} = resource}) do\n    case ResourceUnavailability.ongoing_unavailability(resource) do\n      %ResourceUnavailability{} = resource_unavailability ->\n        resource_unavailability\n        |> Ecto.Changeset.change(%{end: now()})\n        |> Repo.update!()\n\n        :ok\n\n      nil ->\n        :ok\n    end\n  end\n\n  @doc \"\"\"\n  Given a URL, follow potential redirections and returns the final URL.\n\n  HTTPoison doesn't give the final URL when following redirects: https://github.com/edgurgel/httpoison/issues/90.\n\n  Inspired from https://github.com/edgurgel/httpoison/issues/90#issuecomment-359951901.\n  \"\"\"\n  def follow(url) when is_binary(url), do: follow(url, 5)\n\n  def follow(url, max_redirect) when is_binary(url) and is_integer(max_redirect) and max_redirect > 0 do\n    case http_client().get(url) do\n      {:ok, %HTTPoison.Response{status_code: status_code, headers: headers}}\n      when status_code > 300 and status_code < 400 ->\n        case Transport.Http.Utils.location_header(headers) do\n          [url] when is_binary(url) ->\n            follow(url, max_redirect - 1)\n\n          _ ->\n            {:error, :no_location_header}\n        end\n\n      {:ok, %HTTPoison.Response{status_code: status_code}} ->\n        {:ok, status_code, url}\n\n      reason ->\n        {:error, reason}\n    end\n  end\n\n  def follow(url, 0 = _max_redirect) when is_binary(url) do\n    {:error, :too_many_redirects}\n  end\n\n  defp now, do: DateTime.utc_now() |> DateTime.truncate(:second)\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\n\n  @impl Oban.Worker\n  def timeout(_job), do: :timer.seconds(30)\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/resource_unavailable_notification_job.ex",
    "content": "defmodule Transport.Jobs.ResourceUnavailableNotificationJob do\n  @moduledoc \"\"\"\n  An Oban worker responsible for notifying contacts when dataset resources\n  experience prolonged downtime.\n\n  ## Overview\n  This job monitors resource availability and sends email notifications to both\n  **producers** and **reusers** when a resource has been unavailable for a\n  significant period.\n\n  ## Notification Logic\n  Notifications are triggered based on two main scenarios:\n  1.  **Initial Detection:** Triggered when a resource has been unavailable\n      for at least 6 hours.\n  2.  **Recurring Reminder:** If the resource remains unavailable, a follow-up\n      notification is sent every 24 hours.\n\n  ## Operational Details\n  * **Frequency:** This job should be scheduled to run every **30 minutes**.\n      It specifically looks for unavailabilities that started between `6h00`\n      and `6h30` ago to ensure no downtime window is missed.\n  * **Aggregation:** Notifications are grouped at the **Dataset** level.\n      If multiple resources in the same dataset are down, a single email listing\n      all affected resources is sent to each subscriber.\n  * **Retry Policy:** Performs up to 3 attempts in case of failure.\n  * **Smart Detection:** For producers, the job attempts to detect \"delete and\n      recreate\" patterns on `data.gouv.fr` to provide helpful feedback on\n      maintenance best practices.\n\n  ## Job Arguments\n  The job handles two types of execution based on the arguments provided:\n\n  ### 1. The Standard Scan (No Args)\n  When triggered without specific arguments (the default scheduled state),\n  it queries the database for `ResourceUnavailability` records that have\n  reached the 6-hour threshold.\n\n  ### 2. The Recurring Reminder (With Args)\n  When the job finishes an initial notification, it enqueues a *future* version\n  of itself containing:\n  * `dataset_id`: The ID of the affected dataset.\n  * `resource_ids`: List of IDs that were down.\n  * `hours_consecutive_downtime`: The cumulative downtime count (increments by 24).\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"notifications\"]\n  import Ecto.Query\n\n  @hours_consecutive_downtime 6\n  @nb_hours_before_sending_notification_again 24\n  @notification_reason Transport.NotificationReason.reason(:resource_unavailable)\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{\n        id: job_id,\n        args:\n          %{\n            \"dataset_id\" => dataset_id,\n            \"resource_ids\" => resource_ids,\n            \"hours_consecutive_downtime\" => hours_consecutive_downtime\n          } = args\n      }) do\n    attempt =\n      Map.get(\n        args,\n        \"attempt\",\n        round((hours_consecutive_downtime - 6) / @nb_hours_before_sending_notification_again) + 1\n      )\n\n    dataset = DB.Repo.get!(DB.Dataset, dataset_id) |> DB.Repo.preload(:resources)\n\n    dataset.resources\n    |> Enum.filter(fn %DB.Resource{id: resource_id, is_available: is_available} ->\n      not is_available and resource_id in resource_ids\n    end)\n    |> case do\n      [] ->\n        :ok\n\n      resources ->\n        producer_subscriptions = subscriptions(dataset, :producer)\n\n        send_to_producers(producer_subscriptions, dataset, resources,\n          job_id: job_id,\n          hours_consecutive_downtime: hours_consecutive_downtime,\n          attempt: attempt\n        )\n\n        dataset\n        |> subscriptions(:reuser)\n        |> send_to_reusers(dataset, resources,\n          producer_warned: not Enum.empty?(producer_subscriptions),\n          job_id: job_id,\n          hours_consecutive_downtime: hours_consecutive_downtime,\n          attempt: attempt\n        )\n\n        enqueue_next_job(\n          dataset,\n          resources,\n          hours_consecutive_downtime + @nb_hours_before_sending_notification_again,\n          attempt\n        )\n\n        :ok\n    end\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{id: job_id, inserted_at: %DateTime{} = inserted_at}) do\n    attempt = 1\n\n    inserted_at\n    |> relevant_unavailabilities()\n    |> Enum.each(fn {%DB.Dataset{} = dataset, unavailabilities} ->\n      producer_subscriptions = subscriptions(dataset, :producer)\n\n      send_to_producers(producer_subscriptions, dataset, unavailabilities,\n        job_id: job_id,\n        hours_consecutive_downtime: @hours_consecutive_downtime,\n        attempt: attempt\n      )\n\n      enqueue_next_job(\n        dataset,\n        Enum.map(unavailabilities, & &1.resource),\n        @hours_consecutive_downtime + @nb_hours_before_sending_notification_again,\n        attempt\n      )\n\n      dataset\n      |> subscriptions(:reuser)\n      |> send_to_reusers(dataset, unavailabilities,\n        producer_warned: not Enum.empty?(producer_subscriptions),\n        job_id: job_id,\n        hours_consecutive_downtime: @hours_consecutive_downtime,\n        attempt: attempt\n      )\n    end)\n  end\n\n  defp enqueue_next_job(%DB.Dataset{id: dataset_id}, resources, hours_consecutive_downtime, attempt) do\n    resource_ids = Enum.map(resources, & &1.id)\n\n    %{\n      dataset_id: dataset_id,\n      resource_ids: resource_ids,\n      hours_consecutive_downtime: hours_consecutive_downtime,\n      attempt: attempt + 1\n    }\n    |> new(schedule_in: @nb_hours_before_sending_notification_again * 60 * 60)\n    |> Oban.insert!()\n  end\n\n  defp send_to_reusers(subscriptions, %DB.Dataset{} = dataset, unavailabilities,\n         producer_warned: producer_warned,\n         job_id: job_id,\n         hours_consecutive_downtime: hours_consecutive_downtime,\n         attempt: attempt\n       ) do\n    Enum.each(subscriptions, fn %DB.NotificationSubscription{} = subscription ->\n      send_mail(subscription,\n        dataset: dataset,\n        hours_consecutive_downtime: hours_consecutive_downtime,\n        producer_warned: producer_warned,\n        resource_titles: Enum.map_join(unavailabilities, \", \", &resource_title/1),\n        unavailabilities: unavailabilities,\n        job_id: job_id,\n        attempt: attempt\n      )\n    end)\n  end\n\n  defp send_to_producers(subscriptions, %DB.Dataset{} = dataset, unavailabilities,\n         job_id: job_id,\n         hours_consecutive_downtime: hours_consecutive_downtime,\n         attempt: attempt\n       ) do\n    Enum.each(subscriptions, fn %DB.NotificationSubscription{} = subscription ->\n      send_mail(subscription,\n        dataset: dataset,\n        hours_consecutive_downtime: hours_consecutive_downtime,\n        deleted_recreated_on_datagouv: deleted_and_recreated_resource_hosted_on_datagouv(dataset, unavailabilities),\n        resource_titles: Enum.map_join(unavailabilities, \", \", &resource_title/1),\n        unavailabilities: unavailabilities,\n        job_id: job_id,\n        attempt: attempt\n      )\n    end)\n  end\n\n  defp send_mail(\n         %DB.NotificationSubscription{role: role, contact: %DB.Contact{} = contact} = subscription,\n         args\n       ) do\n    {:ok, _} = contact |> Transport.UserNotifier.resource_unavailable(role, args) |> Transport.Mailer.deliver()\n    save_notification(subscription, args)\n  end\n\n  defp save_notification(%DB.NotificationSubscription{role: :reuser} = subscription, args) do\n    %DB.Dataset{} = dataset = Keyword.fetch!(args, :dataset)\n    unavailabilities = Keyword.fetch!(args, :unavailabilities)\n\n    DB.Notification.insert!(dataset, subscription, %{\n      resource_ids: Enum.map(unavailabilities, &resource_id/1),\n      producer_warned: Keyword.fetch!(args, :producer_warned),\n      hours_consecutive_downtime: Keyword.fetch!(args, :hours_consecutive_downtime),\n      job_id: Keyword.fetch!(args, :job_id),\n      attempt: Keyword.fetch!(args, :attempt)\n    })\n  end\n\n  defp save_notification(%DB.NotificationSubscription{role: :producer} = subscription, args) do\n    %DB.Dataset{} = dataset = Keyword.fetch!(args, :dataset)\n    unavailabilities = Keyword.fetch!(args, :unavailabilities)\n\n    DB.Notification.insert!(dataset, subscription, %{\n      resource_ids: Enum.map(unavailabilities, &resource_id/1),\n      deleted_recreated_on_datagouv: Keyword.fetch!(args, :deleted_recreated_on_datagouv),\n      hours_consecutive_downtime: Keyword.fetch!(args, :hours_consecutive_downtime),\n      job_id: Keyword.fetch!(args, :job_id),\n      attempt: Keyword.fetch!(args, :attempt)\n    })\n  end\n\n  @doc \"\"\"\n  Detects when the producer deleted and recreated just after a resource hosted on data.gouv.fr.\n  Best practice: upload a new version of the file, keep the same datagouv's resource.\n\n  Detected if:\n  - a resource hosted on datagouv is unavailable (ie it was deleted)\n  - call the API now and see that a resource hosted on datagouv has been created recently\n  \"\"\"\n  def deleted_and_recreated_resource_hosted_on_datagouv(%DB.Dataset{}, [%DB.Resource{} | _]), do: false\n\n  def deleted_and_recreated_resource_hosted_on_datagouv(%DB.Dataset{} = dataset, unavailabilities) do\n    hosted_on_datagouv = Enum.any?(unavailabilities, &DB.Resource.hosted_on_datagouv?(&1.resource))\n    hosted_on_datagouv and created_resource_hosted_on_datagouv_recently?(dataset)\n  end\n\n  def created_resource_hosted_on_datagouv_recently?(%DB.Dataset{datagouv_id: datagouv_id}) do\n    case Datagouvfr.Client.Datasets.get(datagouv_id) do\n      {:ok, %{\"resources\" => resources}} ->\n        dt_limit = DateTime.utc_now() |> DateTime.add(-12, :hour)\n\n        Enum.any?(resources, fn %{\"created_at\" => created_at, \"url\" => url} ->\n          is_recent = created_at |> parse_datetime() |> DateTime.compare(dt_limit) == :gt\n          is_recent and DB.Resource.hosted_on_datagouv?(url)\n        end)\n\n      _ ->\n        false\n    end\n  end\n\n  defp parse_datetime(value) do\n    {:ok, datetime, 0} = DateTime.from_iso8601(value)\n    datetime\n  end\n\n  def relevant_unavailabilities(%DateTime{} = inserted_at) do\n    datetime_lower_limit = inserted_at |> DateTime.add(-@hours_consecutive_downtime * 60 - 30, :minute)\n    datetime_upper_limit = inserted_at |> DateTime.add(-@hours_consecutive_downtime, :hour)\n\n    DB.ResourceUnavailability\n    |> where([ru], is_nil(ru.end) and ru.start >= ^datetime_lower_limit and ru.start <= ^datetime_upper_limit)\n    |> preload([:resource, resource: [:dataset]])\n    |> DB.Repo.all()\n    |> Enum.group_by(& &1.resource.dataset)\n    |> Enum.sort_by(&elem(&1, 0).id)\n  end\n\n  defp subscriptions(%DB.Dataset{} = dataset, role) do\n    @notification_reason\n    |> DB.NotificationSubscription.subscriptions_for_reason_dataset_and_role(dataset, role)\n    |> reject_already_sent(dataset)\n  end\n\n  defp reject_already_sent(notification_subscriptions, %DB.Dataset{} = dataset) do\n    already_sent_emails = email_addresses_already_sent(dataset)\n\n    Enum.reject(notification_subscriptions, fn %DB.NotificationSubscription{contact: %DB.Contact{email: email}} ->\n      email in already_sent_emails\n    end)\n  end\n\n  def email_addresses_already_sent(%DB.Dataset{id: dataset_id}) do\n    datetime_limit = DateTime.utc_now() |> DateTime.add(-@nb_hours_before_sending_notification_again, :hour)\n\n    DB.Notification\n    |> where([n], n.inserted_at >= ^datetime_limit and n.dataset_id == ^dataset_id and n.reason == @notification_reason)\n    |> select([n], n.email)\n    |> distinct(true)\n    |> DB.Repo.all()\n  end\n\n  defp resource_id(%DB.Resource{id: id}), do: id\n  defp resource_id(%DB.ResourceUnavailability{resource: %DB.Resource{id: id}}), do: id\n\n  defp resource_title(%DB.Resource{title: title}), do: title\n  defp resource_title(%DB.ResourceUnavailability{resource: %DB.Resource{title: title}}), do: title\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/resource_validation_job.ex",
    "content": "defmodule Transport.Jobs.ResourceValidationJob do\n  @moduledoc \"\"\"\n  Validate a resource and stores result in DB\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, queue: :resource_validation, tags: [\"validation\"]\n\n  @doc \"\"\"\n  Validate a `DB.Resource` with all validators\n  \"\"\"\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"resource_id\" => resource_id}}) when is_integer(resource_id) do\n    resource = DB.Resource |> DB.Repo.get!(resource_id)\n\n    if DB.Resource.real_time?(resource) do\n      resource\n      |> Transport.ValidatorsSelection.validators()\n      |> Enum.each(fn validator -> validator.validate_and_save(resource) end)\n\n      :ok\n    else\n      {:error, \"Resource##{resource_id} is not real time\"}\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/resources_changed_notification_job.ex",
    "content": "defmodule Transport.Jobs.ResourcesChangedNotificationJob do\n  @moduledoc \"\"\"\n  Job in charge of detecting datasets for which resources changed:\n  - a resource has been added\n  - a resource has been deleted\n  - a download URL changed\n  and notifying subscribers about this.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3, tags: [\"notifications\"]\n  import Ecto.Query\n  @notification_reason Transport.NotificationReason.reason(:resources_changed)\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args}) when is_nil(args) or args == %{} do\n    relevant_datasets()\n    |> Enum.map(&new/1)\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{id: job_id, args: %{\"dataset_id\" => dataset_id}}) do\n    dataset = DB.Dataset |> DB.Repo.get!(dataset_id)\n\n    DB.NotificationSubscription.subscriptions_for_reason_dataset_and_role(@notification_reason, dataset, :reuser)\n    |> Enum.each(fn %DB.NotificationSubscription{contact: %DB.Contact{} = contact} = subscription ->\n      Transport.UserNotifier.resources_changed(contact, dataset)\n      |> Transport.Mailer.deliver()\n\n      DB.Notification.insert!(dataset, subscription, %{job_id: job_id})\n    end)\n  end\n\n  def relevant_datasets do\n    today = Date.utc_today()\n\n    # Latest `dataset_history` by dataset by day\n    # (usually 1 row per day but make sure duplicates are handled)\n    history_by_day_sub =\n      DB.DatasetHistory\n      |> select([d], max(d.id))\n      |> group_by([d], [d.dataset_id, fragment(\"?::date\", d.inserted_at)])\n\n    urls_by_day_sub =\n      DB.DatasetHistory\n      |> join(:inner, [dh], dhr in DB.DatasetHistoryResources, on: dh.id == dhr.dataset_history_id)\n      |> join(:inner, [_dh, dhr], r in DB.Resource, on: r.id == dhr.resource_id and not r.is_community_resource)\n      |> where([dh, _dhr, _r], dh.id in subquery(history_by_day_sub))\n      |> group_by([dh, _dhr, _r], [dh.dataset_id, fragment(\"?::date\", dh.inserted_at)])\n      |> select([dh, dhr, _d], %{\n        dataset_id: dh.dataset_id,\n        date: fragment(\"?::date\", dh.inserted_at),\n        urls: fragment(\"string_agg(?->>'download_url', ',' order by ?->>'download_url')\", dhr.payload, dhr.payload)\n      })\n\n    base = from(today in subquery(urls_by_day_sub))\n\n    base\n    |> join(:inner, [today], yesterday in subquery(urls_by_day_sub),\n      on:\n        today.dataset_id == yesterday.dataset_id and\n          yesterday.date == fragment(\"? - 1\", today.date) and\n          today.urls != yesterday.urls\n    )\n    |> where([today, _yesterday], today.date == ^today)\n    |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/stops_registry_snapshot_job.ex",
    "content": "defmodule Transport.Jobs.StopsRegistrySnapshotJob do\n  @moduledoc \"\"\"\n  Job in charge of building a snapshot of the stops registry.\n  \"\"\"\n  use Oban.Worker, unique: [period: {1, :days}], tags: [\"registry\"], max_attempts: 3\n  require Logger\n  import Transport.S3.AggregatesUploader\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    with_tmp_file(fn file ->\n      :ok = Transport.Registry.Engine.execute(file)\n\n      upload_aggregate!(\n        file,\n        \"stops_registry_#{timestamp()}.csv\",\n        \"stops_registry_latest.csv\"\n      )\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/table_size_history_job.ex",
    "content": "defmodule Transport.Jobs.TableSizeHistoryJob do\n  @moduledoc \"\"\"\n  Write, for each table, the space taken in the database.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    query = \"\"\"\n    WITH RECURSIVE pg_inherit(inhrelid, inhparent) AS\n     (select inhrelid, inhparent\n     FROM pg_inherits\n     UNION\n     SELECT child.inhrelid, parent.inhparent\n     FROM pg_inherit child, pg_inherits parent\n     WHERE child.inhparent = parent.inhrelid),\n    pg_inherit_short AS (SELECT * FROM pg_inherit WHERE inhparent NOT IN (SELECT inhrelid FROM pg_inherit))\n    SELECT\n    \ttable_name,\n    \ttotal_bytes::bigint AS size,\n    \tcurrent_date as date\n    FROM (\n     SELECT *, total_bytes-index_bytes-COALESCE(toast_bytes,0) AS table_bytes\n     FROM (\n          SELECT c.oid\n               , nspname AS table_schema\n               , relname AS TABLE_NAME\n               , SUM(c.reltuples) OVER (partition BY parent) AS row_estimate\n               , SUM(pg_total_relation_size(c.oid)) OVER (partition BY parent) AS total_bytes\n               , SUM(pg_indexes_size(c.oid)) OVER (partition BY parent) AS index_bytes\n               , SUM(pg_total_relation_size(reltoastrelid)) OVER (partition BY parent) AS toast_bytes\n               , parent\n           FROM (\n                 SELECT pg_class.oid\n                     , reltuples\n                     , relname\n                     , relnamespace\n                     , pg_class.reltoastrelid\n                     , COALESCE(inhparent, pg_class.oid) parent\n                 FROM pg_class\n                     LEFT JOIN pg_inherit_short ON inhrelid = oid\n                 WHERE relkind IN ('r', 'p')\n              ) c\n              LEFT JOIN pg_namespace n ON n.oid = c.relnamespace\n              WHERE nspname = 'public' AND relname not in (select hypertable_name FROM timescaledb_information.hypertables)\n    ) a\n    WHERE oid = parent\n    ) a\n\n    UNION\n\n    SELECT\n        hypertable_name as table_name,\n        hypertable_size(format('%I.%I', hypertable_schema, hypertable_name)) as size,\n        current_date as date\n    FROM timescaledb_information.hypertables\n    \"\"\"\n\n    %{columns: columns, rows: rows} = Ecto.Adapters.SQL.query!(DB.Repo, query)\n\n    columns = Enum.map(columns, &String.to_existing_atom/1)\n    rows = Enum.map(rows, fn row -> columns |> Enum.zip(row) |> Map.new() end)\n\n    DB.Repo.insert_all(DB.TableSizeHistory, rows)\n\n    :ok\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/update_contacts_job.ex",
    "content": "defmodule Transport.Jobs.UpdateContactsJob do\n  @moduledoc \"\"\"\n  This job is in charge updating organizations for `DB.Contact` who are linked\n  to a data.gouv.fr's user, using its API.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  import Ecto.Query\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: args}) when is_nil(args) or args == %{} do\n    DB.Contact.base_query()\n    |> where([contact: c], not is_nil(c.datagouv_user_id))\n    |> select([contact: c], c.datagouv_user_id)\n    |> DB.Repo.all()\n    |> Enum.chunk_every(10)\n    |> Enum.with_index()\n    |> Enum.map(fn {ids, index} -> new(%{contact_ids: ids}, schedule_in: index * 3) end)\n    |> Oban.insert_all()\n\n    :ok\n  end\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{\"contact_ids\" => ids}}) do\n    DB.Contact.base_query()\n    |> where([contact: c], c.datagouv_user_id in ^ids)\n    |> DB.Repo.all()\n    |> Enum.each(&update_contact/1)\n  end\n\n  defp update_contact(%DB.Contact{datagouv_user_id: datagouv_user_id} = contact) do\n    # https://doc.data.gouv.fr/api/reference/#/users/get_user\n    # 404 status code: User not found\n    # 410 status code: User is not active or has been deleted\n    case Datagouvfr.Client.User.get(datagouv_user_id) do\n      {:ok, %{\"organizations\" => organizations}} ->\n        contact\n        |> DB.Contact.changeset(%{organizations: organizations})\n        |> DB.Repo.update!()\n\n      {:error, reason} when reason in [:not_found, :gone] ->\n        contact\n        |> DB.Contact.changeset(%{organizations: [], datagouv_user_id: nil})\n        |> DB.Repo.update!()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/update_counter_cache_job.ex",
    "content": "defmodule Transport.Jobs.UpdateCounterCacheJob do\n  @moduledoc \"\"\"\n  This job is in charge updating the counter cache for `DB.Resource` with modes and features\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n\n  @impl Oban.Worker\n  @spec perform(Oban.Job.t()) :: :ok\n  def perform(%Oban.Job{args: args}) when is_nil(args) or args == %{} do\n    Transport.CounterCache.cache_modes_features_on_resources()\n\n    :ok\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/visit_download_statistics_job.ex",
    "content": "defmodule Transport.Jobs.VisitDownloadStatisticsJob do\n  @moduledoc \"\"\"\n  This job sends emails to producers who have at least a resource hosted on data.gouv.fr\n  It tells them to look at their producer space to see statistics.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  alias Transport.Jobs.VisitStatisticsBase\n\n  @notification_reason :visit_download_statistics\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{scheduled_at: %DateTime{} = scheduled_at}) do\n    VisitStatisticsBase.perform_job(\n      scheduled_at,\n      @notification_reason,\n      &DB.Resource.hosted_on_datagouv?/1,\n      &Transport.UserNotifier.visit_download_statistics/1\n    )\n  end\n\n  @doc \"\"\"\n  Public function for backward compatibility and testing.\n  \"\"\"\n  def relevant_contacts do\n    VisitStatisticsBase.relevant_contacts(&DB.Resource.hosted_on_datagouv?/1)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/visit_proxy_statistics_job.ex",
    "content": "defmodule Transport.Jobs.VisitProxyStatisticsJob do\n  @moduledoc \"\"\"\n  This job sends emails to producers who are using the transport proxy.\n  It tells them to look at their producer space to see statistics.\n  \"\"\"\n  use Oban.Worker, max_attempts: 3\n  alias Transport.Jobs.VisitStatisticsBase\n\n  @notification_reason :visit_proxy_statistics\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{scheduled_at: %DateTime{} = scheduled_at}) do\n    VisitStatisticsBase.perform_job(\n      scheduled_at,\n      @notification_reason,\n      &DB.Resource.served_by_proxy?/1,\n      &Transport.UserNotifier.visit_proxy_statistics/1\n    )\n  end\n\n  @doc \"\"\"\n  Public function for backward compatibility and testing.\n  \"\"\"\n  def relevant_contacts do\n    VisitStatisticsBase.relevant_contacts(&DB.Resource.served_by_proxy?/1)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/visit_statistics_base.ex",
    "content": "defmodule Transport.Jobs.VisitStatisticsBase do\n  @moduledoc \"\"\"\n  Shared functionality for visit statistics notification jobs.\n\n  This module provides common logic for jobs that notify producers about\n  statistics availability (download statistics, proxy statistics, etc.).\n\n  The jobs using this module need to provide:\n  - A notification reason atom\n  - A resource filter function (e.g., &DB.Resource.hosted_on_datagouv?/1)\n  - An email notifier function (e.g., &Transport.UserNotifier.visit_download_statistics/1)\n  \"\"\"\n  import Ecto.Query\n\n  @doc \"\"\"\n  Main job execution logic.\n\n  ## Parameters\n  - `scheduled_at`: DateTime when the job was scheduled\n  - `notification_reason`: Atom representing the notification reason\n  - `resource_filter_fn`: Function to filter relevant resources\n  - `email_notifier_fn`: Function to create the email notification\n  \"\"\"\n  def perform_job(\n        %DateTime{} = scheduled_at,\n        notification_reason,\n        resource_filter_fn,\n        email_notifier_fn\n      ) do\n    already_sent_emails = email_addresses_already_sent(scheduled_at, notification_reason)\n\n    relevant_contacts(resource_filter_fn)\n    |> Enum.reject(&(&1.email in already_sent_emails))\n    |> Enum.each(fn %DB.Contact{} = contact ->\n      contact\n      |> save_notification(notification_reason)\n      |> email_notifier_fn.()\n      |> Transport.Mailer.deliver()\n    end)\n  end\n\n  @doc \"\"\"\n  Finds all contacts relevant for the given resource filter.\n  \"\"\"\n  def relevant_contacts(resource_filter_fn) do\n    DB.Resource\n    |> select([r], [:url, :dataset_id])\n    |> preload(dataset: [organization_object: :contacts])\n    |> DB.Repo.all()\n    |> Enum.filter(resource_filter_fn)\n    |> Enum.flat_map(& &1.dataset.organization_object.contacts)\n    |> Enum.uniq()\n  end\n\n  @doc \"\"\"\n  Gets email addresses that have already been sent this notification in the last 30 days.\n  \"\"\"\n  def email_addresses_already_sent(%DateTime{} = scheduled_at, notification_reason) do\n    datetime_limit = DateTime.add(scheduled_at, -30, :day)\n\n    DB.Notification.base_query()\n    |> where([notification: n], n.inserted_at >= ^datetime_limit and n.reason == ^notification_reason)\n    |> select([notification: n], n.email)\n    |> distinct(true)\n    |> DB.Repo.all()\n  end\n\n  @doc \"\"\"\n  Saves a notification record for tracking purposes.\n  \"\"\"\n  def save_notification(%DB.Contact{id: contact_id, email: email} = contact, notification_reason) do\n    DB.Notification.insert!(%{\n      contact_id: contact_id,\n      email: email,\n      reason: notification_reason,\n      role: :producer\n    })\n\n    contact\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/warn_user_inactivity_job.ex",
    "content": "defmodule Transport.Jobs.WarnUserInactivityJob do\n  @moduledoc \"\"\"\n  Sends an email to user that didn't log in for a while to warn them we will later prune their account.\n\n  Later prune accounts that didn't take the chance.\n  \"\"\"\n  use Oban.Worker\n  @notification_reason Transport.NotificationReason.reason(:warn_user_inactivity)\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{args: %{}}) do\n    now = DateTime.utc_now()\n\n    DB.Contact.delete_inactive_contacts(pruning_threshold(now))\n\n    DB.Contact.list_inactive_contacts(inactivity_threshold(now))\n    |> Enum.each(&warn_inactive_contact(pruning_threshold(now), &1))\n\n    :ok\n  end\n\n  defp inactivity_threshold(now), do: DateTime.add(now, -30 * 24, :day)\n  defp pruning_threshold(now), do: DateTime.add(now, -30 * 25, :day)\n\n  defp warn_inactive_contact(%DateTime{} = pruning_dt, %DB.Contact{} = contact) do\n    days_until_pruning =\n      Date.diff(\n        DateTime.to_date(contact.last_login_at),\n        DateTime.to_date(pruning_dt)\n      )\n\n    if days_until_pruning in horizon_days() do\n      actually_warn_inactive_contact(contact, days_until_pruning)\n    end\n  end\n\n  defp actually_warn_inactive_contact(%DB.Contact{} = contact, horizon) do\n    {:ok, _} = Transport.UserNotifier.warn_inactivity(contact, horizon_txt(horizon)) |> Transport.Mailer.deliver()\n    save_notification(contact, horizon)\n  end\n\n  def horizon_days, do: [30, 15, 1]\n\n  @doc \"\"\"\n  iex> Enum.each(Transport.Jobs.WarnUserInactivityJob.horizon_days(), &horizon_txt/1)\n  :ok\n  \"\"\"\n  def horizon_txt(horizon) do\n    Map.fetch!(%{30 => \"Dans 1 mois\", 15 => \"Dans 2 semaines\", 1 => \"Demain\"}, horizon)\n  end\n\n  defp save_notification(%DB.Contact{} = contact, horizon) do\n    DB.Notification.insert!(%{\n      reason: @notification_reason,\n      role: role(contact),\n      contact_id: contact.id,\n      email: contact.email,\n      payload: %{\"horizon\" => horizon}\n    })\n  end\n\n  defp role(%DB.Contact{} = contact) do\n    contact = contact |> DB.Repo.preload(:organizations)\n\n    if TransportWeb.Session.producer?(contact) do\n      :producer\n    else\n      :reuser\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/workflow.ex",
    "content": "defmodule Transport.Jobs.Workflow do\n  @moduledoc \"\"\"\n   Handle a simple workflow of jobs.\n\n   # Usage\n    ```\n    Transport.Jobs.Workflow.new(%{\n      \"jobs\" => jobs,\n      \"first_job_args\" => first_job_args\n    })\n    ```\n    Where `jobs` is a list of jobs, and `first_job_args` are the arguments passed to the first job of the list.\n    Each job of the list is expected to \"notify\" upon completion:\n\n    ```\n    defmodule JobA do\n    use Oban.Worker\n\n    @impl Oban.Worker\n    def perform(%Oban.Job{args: %{\"some_id\" => some_id}} = job) do\n      # perform job here\n      # ...\n\n      Transport.Jobs.Workflow.Notifier.notify_workflow(job, %{\n        \"success\" => true,\n        \"job_id\" => job.id,\n        \"output\" => %{\"some_id\" => some_id}\n      })\n\n      :ok\n    end\n  end\n    ```\n  The `output` map will be passed to the next job of the workflow as its arguments.\n\n  ## Note :\n  It is possible to create a workflow of jobs with a simple list:\n  `jobs = [JobA, JobB]`\n\n  Or to specify custom arguments and/or custom job options:\n  `jobs = [JobA, [JobB, custom_arguments, custom_options]]`\n\n  `custom_arguments` is expected to be a map of arguments, that get merged with the previous job output.\n\n  For example:\n  `jobs = [JobA, [JobB, %{\"forced\" => true}, %{}]]`\n\n  `custom_options` is expected to be a map:\n  `jobs = [JobA, [JobB, %{}, %{queue: :heavy}]]`\n\n  It would have been more natural for `custom_options` to be a keyword list, but Oban can just accept maps as job arguments, as keyword list cannot\n  be Jason encoded. There is the kw_to_map helper function to transform a keword list to a map if needed.\n  \"\"\"\n  use Oban.Worker, tags: [\"workflow\"], max_attempts: 3, queue: :workflow\n  alias Transport.Jobs.Workflow.Notifier\n\n  @impl Oban.Worker\n  def perform(\n        %Oban.Job{\n          args: %{\"jobs\" => jobs, \"first_job_args\" => first_job_args}\n        } = workflow_job\n      ) do\n    :ok = Oban.Notifier.listen([:gossip])\n    execute_jobs(jobs, first_job_args, workflow_job)\n  end\n\n  defp execute_jobs([job], args, workflow_job) do\n    insert_job(job, args, workflow_job)\n    :ok\n  end\n\n  defp execute_jobs([job | tail], args, workflow_job) do\n    case insert_job(job, args, workflow_job) do\n      %{id: job_id, worker: worker, conflict?: true} ->\n        {:error, \"Job #{job_id} (#{worker}) has a conflict. Workflow is stopping here\"}\n\n      %{id: job_id} ->\n        receive do\n          # each job produces an output than can be used by the next job in the workflow\n          {:notification, :gossip, %{\"success\" => true, \"job_id\" => ^job_id, \"output\" => job_output}} ->\n            execute_jobs(tail, job_output, workflow_job)\n\n          {:notification, :gossip, %{\"success\" => false, \"job_id\" => ^job_id} = notif} ->\n            reason = notif |> Map.get(\"reason\", \"unknown reason\")\n            {:error, \"Job #{job_id} has failed: #{reason}. Workflow is stopping here\"}\n        end\n    end\n  end\n\n  @spec insert_job(binary | [...], map(), Oban.Job.t()) :: Oban.Job.t()\n  def insert_job([job_name, custom_args, options], args, workflow_job)\n      when is_map(custom_args) and is_map(options) do\n    # if custom args are given they are merged with the job arguments\n    # options are job options (unique, ...)\n    args = Map.merge(args, custom_args)\n    options = options |> map_to_kw()\n\n    # we add a meta information to show the job is part of a workflow\n    # and to track a possible failure\n    meta =\n      options\n      |> Keyword.get(:meta, %{})\n      |> Map.put(:workflow, true)\n      |> Map.put(:workflow_job_id, workflow_job.id)\n\n    options = options |> Keyword.put(:meta, meta)\n\n    args |> String.to_existing_atom(job_name).new(options) |> Oban.insert!()\n  end\n\n  def insert_job(job_name, args, workflow_job) do\n    args\n    |> String.to_existing_atom(job_name).new(meta: %{workflow: true, workflow_job_id: workflow_job.id})\n    |> Oban.insert!()\n  end\n\n  defmodule Notifier do\n    @moduledoc \"\"\"\n    a behavior that let us choose the method to send notifications\n    \"\"\"\n    @callback notify_workflow(map(), [map] | map) :: :ok\n    def impl, do: Application.fetch_env!(:transport, :workflow_notifier)\n    def notify_workflow(job, args), do: impl().notify_workflow(job, args)\n  end\n\n  defmodule ObanNotifier do\n    @moduledoc \"\"\"\n    a wrapper around Oban.Notifier.notify\n    \"\"\"\n    @behaviour Transport.Jobs.Workflow.Notifier\n\n    @impl Transport.Jobs.Workflow.Notifier\n    def notify_workflow(%{meta: %{\"workflow\" => true}}, args) do\n      Oban.Notifier.notify(Oban, :gossip, args)\n    end\n\n    def notify_workflow(_job, _args), do: nil\n  end\n\n  defmodule ProcessNotifier do\n    @moduledoc \"\"\"\n    Used when testing, because Oban.Notifier.notify do not work in sandboxed environment\n    see https://hexdocs.pm/oban/Oban.Notifiers.Postgres.html#module-caveats\n    So we just send the message manually\n    \"\"\"\n    @behaviour Transport.Jobs.Workflow.Notifier\n\n    @impl Transport.Jobs.Workflow.Notifier\n    def notify_workflow(%{meta: %{\"workflow\" => true}}, args) do\n      send(\n        :workflow_process,\n        {:notification, :gossip, args}\n      )\n\n      :ok\n    end\n\n    def notify_workflow(_job, _args), do: nil\n  end\n\n  @doc \"\"\"\n  This function is triggered by Oban Telemetry events when a job fails\n  \"\"\"\n  def handle_event(\n        [:oban, :job, :exception],\n        _,\n        # max_attempts is reached\n        %{\n          attempt: n,\n          id: job_id,\n          error: error,\n          job: %{max_attempts: n, meta: %{\"workflow\" => true}}\n        },\n        nil\n      ) do\n    # `error` can be an error message or an `Oban.TimeoutError` exception.\n    # ````\n    # %Oban.TimeoutError{\n    #   message: \"Transport.Jobs.ResourceHistoryJob timed out after 1000ms\",\n    #   reason: :timeout\n    # }\n    # ```\n    Notifier.notify_workflow(%{meta: %{\"workflow\" => true}}, %{\n      \"success\" => false,\n      \"job_id\" => job_id,\n      \"reason\" => inspect(error)\n    })\n  end\n\n  def handle_event(\n        [:oban, :job, :exception],\n        _,\n        _,\n        nil\n      ),\n      do: nil\n\n  @doc \"\"\"\n  Converts nested maps to nested lists of keywords\n  map keys are binaries\n\n  iex> map_to_kw(%{})\n  []\n\n  iex> map_to_kw(%{\"a\" => 1})\n  [a: 1]\n\n  iex> map_to_kw(%{\"a\" => %{\"b\" => %{\"c\" => 1}}, \"d\" => 1})\n  [a: [b: [c: 1]], d: 1]\n  \"\"\"\n  def map_to_kw(%{} = m) do\n    m |> Enum.map(fn {k, v} -> {String.to_existing_atom(k), map_to_kw(v)} end)\n  end\n\n  def map_to_kw(v) when is_binary(v), do: String.to_existing_atom(v)\n  def map_to_kw(v), do: v\n\n  @doc \"\"\"\n  Converts nested lists of keywords to nested maps\n  map keys are atoms\n\n  iex> kw_to_map([])\n  %{}\n\n  iex> kw_to_map([a: 1])\n  %{a: 1}\n\n  iex> kw_to_map([a: [b: [c: 1]], d: 1])\n  %{a: %{b: %{c: 1}}, d: 1}\n  \"\"\"\n  def kw_to_map([]), do: %{}\n\n  def kw_to_map([{k, v}]) when is_list(v) do\n    [{k, kw_to_map(v)}] |> Enum.into(%{})\n  end\n\n  def kw_to_map([{_, _}] = kw) do\n    kw |> Enum.into(%{})\n  end\n\n  def kw_to_map([head | tail]) do\n    [head] |> kw_to_map() |> Map.merge(kw_to_map(tail))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/jobs/workflow_dummy_jobs.ex",
    "content": "defmodule Transport.Jobs.Dummy do\n  @moduledoc \"\"\"\n  dummy jobs used to test job workflows\n  \"\"\"\n  defmodule JobA do\n    @moduledoc \"\"\"\n    a dummy job A\n    \"\"\"\n    use Oban.Worker\n\n    @impl Oban.Worker\n    def perform(%Oban.Job{args: %{\"some_id\" => some_id}} = job) do\n      # this job increments an id\n      some_id = some_id + 1\n\n      Transport.Jobs.Workflow.Notifier.notify_workflow(job, %{\n        \"success\" => true,\n        \"job_id\" => job.id,\n        \"output\" => %{\"some_id\" => some_id}\n      })\n\n      :ok\n    end\n  end\n\n  defmodule JobB do\n    @moduledoc \"\"\"\n    a dummy job B\n    \"\"\"\n    use Oban.Worker\n\n    @impl Oban.Worker\n    def perform(%Oban.Job{args: %{\"some_id\" => some_id}} = job) do\n      some_id = some_id + 1\n\n      Transport.Jobs.Workflow.Notifier.notify_workflow(job, %{\n        \"success\" => true,\n        \"job_id\" => job.id,\n        \"output\" => %{\"some_id\" => some_id}\n      })\n\n      :ok\n    end\n  end\n\n  defmodule FailingJob do\n    @moduledoc \"\"\"\n    a dummy job that fails if the input is not 0\n    \"\"\"\n    use Oban.Worker, max_attempts: 1\n\n    @impl Oban.Worker\n    def perform(%Oban.Job{args: %{\"some_id\" => some_id}} = job) do\n      if some_id != 0 do\n        {:error, \"job fails\"}\n      else\n        Transport.Jobs.Workflow.Notifier.notify_workflow(job, %{\n          \"success\" => true,\n          \"job_id\" => job.id,\n          \"output\" => %{\"some_id\" => some_id}\n        })\n\n        :ok\n      end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mailer/admin_notifier.ex",
    "content": "defmodule Transport.AdminNotifier do\n  @moduledoc \"\"\"\n  Module in charge of building emails sent to the admin team (bizdev, tech, etc.)\n  \"\"\"\n  use Phoenix.Swoosh, view: TransportWeb.EmailView, layout: {TransportWeb.LayoutView, :email}\n  import Transport.Expiration, only: [delay_str: 2]\n\n  def contact(email, user_type, question_type, subject, question) do\n    notify_contact(\"PAN, Formulaire Contact\", email)\n    |> subject(subject)\n    |> render_body(\"contact.html\", user_type: user_type, question_type: question_type, question: question)\n  end\n\n  def feedback(rating, explanation, email, feature) do\n    rating_t = %{like: \"j’aime\", neutral: \"neutre\", dislike: \"mécontent\"}\n\n    reply_email = if email, do: email, else: Application.fetch_env!(:transport, :contact_email)\n\n    notify_contact(\"Formulaire feedback\", reply_email)\n    |> subject(\"Nouvel avis pour #{feature} : #{rating_t[rating]}\")\n    |> render_body(\"feedback.html\",\n      feature: feature,\n      rating: rating_t[rating],\n      email_address: email,\n      explanation: explanation\n    )\n  end\n\n  def bnlc_consolidation_report(subject, body, file_url) do\n    notify_bizdev()\n    |> subject(subject)\n    |> render_body(\"bnlc_consolidation_report.html\", body: body, file_url: file_url)\n  end\n\n  def datasets_without_gtfs_rt_related_resources(datasets) do\n    notify_bizdev()\n    |> subject(\"Jeux de données GTFS-RT sans ressources liées\")\n    |> render_body(\"datasets_without_gtfs_rt_related_resources.html\",\n      list: Enum.map_join(datasets, \"\", &link_and_name/1)\n    )\n  end\n\n  def unknown_gbfs_operator_feeds(resources) do\n    notify_bizdev()\n    |> subject(\"Flux GBFS : opérateurs non détectés\")\n    |> render_body(\"unknown_gbfs_operator_feeds.html\",\n      list: Enum.map(resources, fn %DB.Resource{url: url} -> ~s|<li><a href=\"#{url}\">#{url}</a></li>| end)\n    )\n  end\n\n  def datasets_climate_resilience_bill_inappropriate_licence(datasets) do\n    notify_bizdev()\n    |> subject(\"Jeux de données article 122 avec licence inappropriée\")\n    |> render_body(\"datasets_climate_resilience_bill_inappropriate_licence.html\", %{datasets: datasets})\n  end\n\n  def new_datagouv_datasets(category, datagouv_datasets, rule_explanation, duration) do\n    notify_bizdev()\n    |> subject(\"Nouveaux jeux de données #{category} à référencer - data.gouv.fr\")\n    |> render_body(\"new_datagouv_datasets.html\",\n      list: Enum.map_join(datagouv_datasets, \"\", &link_and_name_from_datagouv_payload/1),\n      rule_explanation: rule_explanation,\n      duration: duration\n    )\n  end\n\n  def expiration(records) do\n    notify_bizdev()\n    |> subject(\"Jeux de données arrivant à expiration\")\n    |> render_body(\"expiration.html\", expiration: Enum.map_join(records, \"<hr>\", &expiration_str/1))\n  end\n\n  def inactive_datasets(reactivated_datasets, inactive_datasets, archived_datasets) do\n    notify_bizdev()\n    |> subject(\"Jeux de données supprimés ou archivés\")\n    |> render_body(\"inactive_datasets.html\",\n      inactive_datasets_str: fmt_inactive_datasets(inactive_datasets),\n      reactivated_datasets_str: fmt_reactivated_datasets(reactivated_datasets),\n      archived_datasets_str: fmt_archived_datasets(archived_datasets)\n    )\n  end\n\n  def oban_failure(worker) do\n    notify_tech()\n    |> subject(\"Échec de job Oban : #{worker}\")\n    |> render_body(\"oban_failure.html\", worker: worker)\n  end\n\n  # Utility functions from here\n\n  defp notify_bizdev do\n    new()\n    |> from({\"transport.data.gouv.fr\", Application.fetch_env!(:transport, :contact_email)})\n    # Uses the contact@ email address but method is kept if we need\n    # to route differently in the future.\n    |> to(Application.fetch_env!(:transport, :contact_email))\n    |> reply_to(Application.fetch_env!(:transport, :contact_email))\n  end\n\n  defp notify_tech do\n    new()\n    |> from({\"transport.data.gouv.fr\", Application.fetch_env!(:transport, :contact_email)})\n    |> to(Application.fetch_env!(:transport, :tech_email))\n    |> reply_to(Application.fetch_env!(:transport, :contact_email))\n  end\n\n  defp notify_contact(form_name, email) do\n    new()\n    |> from({form_name, Application.fetch_env!(:transport, :contact_email)})\n    |> to(Application.fetch_env!(:transport, :contact_email))\n    |> reply_to(email)\n  end\n\n  defp expiration_str({delay, records}) do\n    datasets = Enum.map(records, fn {%DB.Dataset{} = d, _} -> d end)\n\n    dataset_str = fn %DB.Dataset{} = dataset ->\n      link_and_name(dataset, \" - #{expiration_notification_enabled_str(dataset)}#{climate_resilience_str(dataset)}\")\n    end\n\n    \"\"\"\n    <p>Jeux de données #{delay_str(delay, :périmant)} :</p>\n\n    <ul>\n    #{Enum.map_join(datasets, \"\\n\", &dataset_str.(&1))}\n    </ul>\n    \"\"\"\n  end\n\n  def expiration_notification_enabled_str(%DB.Dataset{} = dataset) do\n    if has_expiration_notifications?(dataset) do\n      \"✅ notification automatique\"\n    else\n      \"❌ pas de notification automatique\"\n    end\n  end\n\n  defp climate_resilience_str(%DB.Dataset{} = dataset) do\n    if DB.Dataset.climate_resilience_bill?(dataset) do\n      \" ⚖️🗺️ article 122\"\n    else\n      \"\"\n    end\n  end\n\n  def has_expiration_notifications?(%DB.Dataset{} = dataset) do\n    Transport.NotificationReason.reason(:expiration)\n    |> DB.NotificationSubscription.subscriptions_for_reason_dataset_and_role(dataset, :producer)\n    |> Enum.count() > 0\n  end\n\n  defp fmt_inactive_datasets([]), do: \"\"\n\n  defp fmt_inactive_datasets(inactive_datasets) do\n    \"\"\"\n    <p>Certains jeux de données ont disparus de data.gouv.fr :</p>\n    <ul>\n    #{Enum.map_join(inactive_datasets, \"\", &link_and_name/1)}\n    </ul>\n    \"\"\"\n  end\n\n  defp fmt_reactivated_datasets([]), do: \"\"\n\n  defp fmt_reactivated_datasets(reactivated_datasets) do\n    \"\"\"\n    <p>Certains jeux de données disparus sont réapparus sur data.gouv.fr :</p>\n    <ul>\n    #{Enum.map_join(reactivated_datasets, \"\", &link_and_name/1)}\n    </ul>\n    \"\"\"\n  end\n\n  defp fmt_archived_datasets([]), do: \"\"\n\n  defp fmt_archived_datasets(archived_datasets) do\n    \"\"\"\n    <p>Certains jeux de données sont indiqués comme archivés sur data.gouv.fr :</p>\n    <ul>\n    #{Enum.map_join(archived_datasets, \"\", &link_and_name/1)}\n    </ul>\n\n    <p>#{count_archived_datasets()} jeux de données sont archivés. Retrouvez-les <a href=\"#{backoffice_archived_datasets_url()}\">dans le backoffice</a>.</p>\n    \"\"\"\n  end\n\n  def count_archived_datasets do\n    DB.Dataset.archived() |> DB.Repo.aggregate(:count, :id)\n  end\n\n  defp backoffice_archived_datasets_url do\n    TransportWeb.Router.Helpers.backoffice_page_url(TransportWeb.Endpoint, :index, %{\"filter\" => \"archived\"}) <>\n      \"#list_datasets\"\n  end\n\n  defp link_and_name_from_datagouv_payload(%{\"title\" => title, \"page\" => page}) do\n    link = Phoenix.HTML.Link.link(title, to: page) |> Phoenix.HTML.safe_to_string()\n    \"<li>#{link}</li>\"\n  end\n\n  @spec link_and_name(DB.Dataset.t(), binary()) :: binary()\n  defp link_and_name(%DB.Dataset{slug: slug, custom_title: custom_title}, extra_content \\\\ \"\") do\n    url = TransportWeb.Router.Helpers.dataset_url(TransportWeb.Endpoint, :details, slug)\n    link = Phoenix.HTML.Link.link(custom_title, to: url) |> Phoenix.HTML.safe_to_string()\n    \"<li>#{link}#{extra_content}</li>\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mailer/mailer.ex",
    "content": "defmodule Transport.Mailer do\n  use Swoosh.Mailer, otp_app: :transport\n\n  @moduledoc \"\"\"\n  A mailer built on top of Swoosh, see documentation here https://hexdocs.pm/swoosh/Swoosh.html\n  The main Swoosh package provides most functionality (including dev preview and test functionality).\n  Phoenix.Swoosh just adds the ability to render views and templates https://hexdocs.pm/phoenix_swoosh/readme.html\n  You need to have a module that actually generates mails, either just importing Swoosh.Email if you don’t need templates, either using Phoenix.Swoosh if you do, and then the emails are passed to this module to be actually sent.\n  For now it uses Mailjet as a provider (see config/config.exs), but it could be changed to another provider if needed.\n\n  Testing currently relies on https://hexdocs.pm/swoosh/Swoosh.Adapters.Test.html, which provides\n  basic global mode (https://github.com/swoosh/swoosh/pull/565/files). If this turn out not to be enough,\n  this module `Transport.Mailer` will have to be Mox'ed instead.\n  \"\"\"\nend\n"
  },
  {
    "path": "apps/transport/lib/mailer/user_notifier.ex",
    "content": "defmodule Transport.UserNotifier do\n  @moduledoc \"\"\"\n  Module in charge of building emails for end users (producers, reusers, etc.)\n  \"\"\"\n  use Phoenix.Swoosh, view: TransportWeb.EmailView, layout: {TransportWeb.LayoutView, :email}\n  import Transport.Expiration, only: [delay_str: 2]\n\n  def resources_changed(%DB.Contact{} = contact, %DB.Dataset{} = dataset) do\n    contact\n    |> common_email_options()\n    |> subject(\"#{dataset.custom_title} : ressources modifiées\")\n    |> render_body(\"resources_changed.html\", %{dataset: dataset})\n  end\n\n  def new_comments_reuser(%DB.Contact{} = contact, datasets) do\n    contact\n    |> common_email_options()\n    |> subject(\"Nouveaux commentaires sur transport.data.gouv.fr\")\n    |> render_body(\"new_comments_reuser.html\", %{datasets: datasets})\n  end\n\n  def new_comments_producer(%DB.Contact{} = contact, comments_number, comments) do\n    contact\n    |> common_email_options()\n    |> subject(\"#{comments_number} nouveaux commentaires sur transport.data.gouv.fr\")\n    |> render_body(\"new_comments_producer.html\", comments_with_context: comments)\n  end\n\n  def promote_reuser_space(%DB.Contact{} = contact) do\n    contact\n    |> common_email_options()\n    |> subject(\"Gestion de vos favoris dans votre espace réutilisateur\")\n    |> render_body(\"promote_reuser_space.html\")\n  end\n\n  def dataset_now_on_nap(%DB.Contact{} = contact, dataset) do\n    contact\n    |> common_email_options()\n    |> subject(\"Votre jeu de données a été référencé sur transport.data.gouv.fr\")\n    |> render_body(\"dataset_now_on_nap.html\", %{\n      dataset_url: TransportWeb.Router.Helpers.dataset_url(TransportWeb.Endpoint, :details, dataset.slug),\n      dataset_custom_title: dataset.custom_title,\n      contact_email_address: Application.get_env(:transport, :contact_email)\n    })\n  end\n\n  def datasets_switching_climate_resilience_bill(\n        %DB.Contact{} = contact,\n        datasets_previously_climate_resilience,\n        datasets_now_climate_resilience\n      ) do\n    contact\n    |> common_email_options()\n    |> subject(\"Loi climat et résilience : suivi des jeux de données\")\n    |> render_body(\"datasets_switching_climate_resilience_bill.html\", %{\n      datasets_now_climate_resilience: Enum.map(datasets_now_climate_resilience, &Enum.at(&1, 1)),\n      datasets_previously_climate_resilience: Enum.map(datasets_previously_climate_resilience, &Enum.at(&1, 1))\n    })\n  end\n\n  def multi_validation_with_error_notification(%DB.Contact{} = contact, :producer,\n        dataset: dataset,\n        resources: resources,\n        validator_name: _,\n        job_id: _,\n        attempt: _\n      ) do\n    contact\n    |> common_email_options()\n    |> subject(\"Erreurs détectées dans le jeu de données #{dataset.custom_title}\")\n    |> render_body(\"dataset_with_error_producer.html\", dataset: dataset, resources: resources)\n  end\n\n  def multi_validation_with_error_notification(%DB.Contact{} = contact, :reuser,\n        dataset: dataset,\n        producer_warned: producer_warned,\n        validator_name: _,\n        job_id: _,\n        attempt: _\n      ) do\n    contact\n    |> common_email_options()\n    |> subject(\"Erreurs détectées dans le jeu de données #{dataset.custom_title}\")\n    |> render_body(\"dataset_with_error_reuser.html\", dataset: dataset, producer_warned: producer_warned)\n  end\n\n  def resource_unavailable(%DB.Contact{} = contact, :producer,\n        dataset: dataset,\n        hours_consecutive_downtime: hours_consecutive_downtime,\n        deleted_recreated_on_datagouv: deleted_recreated_on_datagouv,\n        resource_titles: resource_titles,\n        unavailabilities: _,\n        job_id: _,\n        attempt: _\n      ) do\n    contact\n    |> common_email_options()\n    |> subject(\"Ressources indisponibles dans le jeu de données #{dataset.custom_title}\")\n    |> render_body(\"resource_unavailable_producer.html\",\n      dataset: dataset,\n      hours_consecutive_downtime: hours_consecutive_downtime,\n      deleted_recreated_on_datagouv: deleted_recreated_on_datagouv,\n      resource_titles: resource_titles\n    )\n  end\n\n  def resource_unavailable(%DB.Contact{} = contact, :reuser,\n        dataset: dataset,\n        hours_consecutive_downtime: hours_consecutive_downtime,\n        producer_warned: producer_warned,\n        resource_titles: resource_titles,\n        unavailabilities: _,\n        job_id: _,\n        attempt: _\n      ) do\n    contact\n    |> common_email_options()\n    |> subject(\"Ressources indisponibles dans le jeu de données #{dataset.custom_title}\")\n    |> render_body(\"resource_unavailable_reuser.html\",\n      dataset: dataset,\n      hours_consecutive_downtime: hours_consecutive_downtime,\n      producer_warned: producer_warned,\n      resource_titles: resource_titles\n    )\n  end\n\n  def periodic_reminder_producers_no_subscriptions(%DB.Contact{} = contact, datasets) do\n    contact\n    |> common_email_options()\n    |> subject(\"Notifications pour vos données sur transport.data.gouv.fr\")\n    |> render_body(\"producer_without_subscriptions.html\", %{datasets: datasets})\n  end\n\n  def periodic_reminder_producers_with_subscriptions(\n        %DB.Contact{} = contact,\n        datasets_subscribed,\n        other_producers_subscribers\n      ) do\n    contact\n    |> common_email_options()\n    |> subject(\"Rappel : vos notifications pour vos données sur transport.data.gouv.fr\")\n    |> render_body(\"producer_with_subscriptions.html\", %{\n      datasets_subscribed: datasets_subscribed,\n      has_other_producers_subscribers: not Enum.empty?(other_producers_subscribers),\n      other_producers_subscribers: Enum.map_join(other_producers_subscribers, \", \", &DB.Contact.display_name/1)\n    })\n  end\n\n  def new_datasets(%DB.Contact{} = contact, datasets) do\n    contact\n    |> common_email_options()\n    |> subject(\"Nouveaux jeux de données référencés\")\n    |> render_body(\"new_dataset.html\", datasets: datasets)\n  end\n\n  def expiration_producer(%DB.Contact{} = contact, dataset, resources, delay) do\n    contact\n    |> common_email_options()\n    |> subject(expiration_email_subject(delay))\n    |> render_body(\"expiration_producer.html\",\n      delay_str: delay_str(delay, :périment),\n      dataset: dataset,\n      resource_titles: resource_titles(resources)\n    )\n  end\n\n  def expiration_reuser(%DB.Contact{} = contact, html) do\n    contact\n    |> common_email_options()\n    |> subject(\"Suivi des jeux de données favoris arrivant à expiration\")\n    |> render_body(\"expiration_reuser.html\", %{expiration_content: html})\n  end\n\n  def promote_producer_space(%DB.Contact{} = contact) do\n    contact_email = Application.fetch_env!(:transport, :contact_email)\n\n    contact\n    |> common_email_options()\n    |> subject(\"Bienvenue ! Découvrez votre Espace producteur\")\n    |> render_body(\"promote_producer_space.html\", %{contact_email_address: contact_email})\n  end\n\n  def warn_inactivity(%DB.Contact{email: email} = contact, horizon) do\n    contact\n    |> common_email_options()\n    |> subject(\"Votre compte sera supprimé #{String.downcase(horizon)}\")\n    |> render_body(\"warn_inactivity.html\", contact_email: email, horizon: horizon)\n  end\n\n  def visit_proxy_statistics(%DB.Contact{} = contact) do\n    contact\n    |> common_email_options()\n    |> subject(\"Découvrez vos statistiques proxy\")\n    |> render_body(\"visit_proxy_statistics.html\")\n  end\n\n  def visit_download_statistics(%DB.Contact{} = contact) do\n    contact\n    |> common_email_options()\n    |> subject(\"Découvrez vos statistiques de téléchargement\")\n    |> render_body(\"visit_download_statistics.html\")\n  end\n\n  # From here, utility functions.\n\n  defp common_email_options(%DB.Contact{} = contact) do\n    new()\n    |> from({\"transport.data.gouv.fr\", Application.fetch_env!(:transport, :contact_email)})\n    |> to(contact)\n    |> reply_to(Application.fetch_env!(:transport, :contact_email))\n  end\n\n  @doc \"\"\"\n  If all doctests are removed from here, change Transport.NotifiersTest to stop calling this module.\n  iex> resource_titles([%DB.Resource{title: \"B\"}])\n  \"B\"\n  iex> resource_titles([%DB.Resource{title: \"B\"}, %DB.Resource{title: \"A\"}])\n  \"A, B\"\n  \"\"\"\n  def resource_titles(resources) do\n    resources\n    |> Enum.sort_by(fn %DB.Resource{title: title} -> title end)\n    |> Enum.map_join(\", \", fn %DB.Resource{title: title} -> title end)\n  end\n\n  @doc \"\"\"\n  iex> expiration_email_subject(7)\n  \"Jeu de données arrivant à expiration\"\n  iex> expiration_email_subject(0)\n  \"Jeu de données arrivant à expiration\"\n  iex> expiration_email_subject(-3)\n  \"Jeu de données périmé\"\n  \"\"\"\n  def expiration_email_subject(delay) when delay >= 0 do\n    \"Jeu de données arrivant à expiration\"\n  end\n\n  def expiration_email_subject(delay) when delay < 0 do\n    \"Jeu de données périmé\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/dump_gtfs_rt.ex",
    "content": "defmodule Mix.Tasks.Decode.GtfsRt do\n  @shortdoc \"Decode a GTFS-RT using the Elixir tooling\"\n\n  @moduledoc \"\"\"\n  A simple task to download a GTFS-RT feed, parse it (as protobuf) and dump it on screen as Elixir structures.\n  \"\"\"\n\n  require Logger\n  use Mix.Task\n\n  def run([url]) do\n    {:ok, _} = Application.ensure_all_started(:finch)\n    {:ok, _} = Finch.start_link(name: GtfsRt.Finch)\n    {:ok, %{status: 200, body: body}} = :get |> Finch.build(url) |> Finch.request(GtfsRt.Finch)\n    # credo:disable-for-next-line\n    body |> TransitRealtime.FeedMessage.decode() |> IO.inspect()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/logs.ex",
    "content": "defmodule Mix.Tasks.Clever.Logs do\n  @shortdoc \"Fetches logs from Clever Cloud\"\n\n  @moduledoc \"\"\"\n  The Clever Cloud logs command currently has strong limitations, including a maximum of\n  1000 lines of logs per command invocation (https://github.com/CleverCloud/clever-tools/issues/429)\n  and a lack of auto-pagination.\n\n  This mix task provides a minimal ability to fetch logs from the platform.\n\n  How to use:\n\n  ```\n  mix clever.logs --since \"2021-01-25T04:00:00Z\" --before \"2021-01-25T04:10:00Z\" --alias \"the-app\"\n  ```\n\n  The switches mimic the Clever Cloud logs ones:\n  * `--since`: start time (ISO8601 Z). Defaults to \"24 hours ago\".\n  * `--before`: end time (ISO8601 Z). Defaults to \"now\".\n  * `--alias`: name of the Clever Cloud app.\n  \"\"\"\n\n  require Logger\n  use Mix.Task\n\n  @doc \"\"\"\n  Fetch one page of logs using the `clever`command, based on a given end time.\n\n  At time of writing, the `clever` command honors `--before` first, only using\n  `--since` to filter out extra stuff, so we have to go backward for the extraction.\n  \"\"\"\n  def fetch_log_page(app, end_time) do\n    # must be tuned so that we get close to 1000 logs at each call to maximize throughput\n    span_size_in_seconds = 10 * 60\n    start_time = DateTime.add(end_time, -1 * span_size_in_seconds, :second)\n\n    cmd_args = [\n      \"logs\",\n      \"--alias\",\n      app,\n      \"--since\",\n      start_time |> DateTime.to_iso8601(),\n      \"--before\",\n      end_time |> DateTime.to_iso8601()\n    ]\n\n    Logger.info(\"Extracting logs with clever #{cmd_args |> Enum.join(\" \")}\")\n    # NOTE: I'm not 100% sure but I believe some error logs are sent to stderr by \"clever\",\n    # so redirecting everything to stdout so we don't miss anything\n    {output, _exit_code = 0} = System.cmd(\"clever\", cmd_args, stderr_to_stdout: true)\n\n    logs =\n      output\n      |> String.split(\"\\n\")\n      |> Enum.map(&String.trim/1)\n      |> Enum.filter(&(&1 != \"\"))\n      |> Enum.reject(&String.starts_with?(&1, \"Waiting for application logs\"))\n\n    logs\n  end\n\n  def default_start_time do\n    now = DateTime.utc_now()\n    span = round(-1 * 60 * 60 * 24)\n\n    now\n    |> DateTime.add(span, :second)\n    |> DateTime.to_iso8601()\n  end\n\n  def default_end_time, do: DateTime.utc_now() |> DateTime.to_iso8601()\n\n  def prep_args(args) do\n    {options, _rest} = OptionParser.parse!(args, strict: [since: :string, before: :string, alias: :string])\n\n    options =\n      options\n      |> Keyword.put_new(\n        :since,\n        default_start_time()\n      )\n      |> Keyword.put_new(\n        :before,\n        default_end_time()\n      )\n\n    {:ok, start_time, 0} = options[:since] |> DateTime.from_iso8601()\n    {:ok, end_time, 0} = options[:before] |> DateTime.from_iso8601()\n\n    unless options[:alias] do\n      Mix.raise(\"Switch --alias is required\")\n    end\n\n    {start_time, end_time, options |> Keyword.fetch!(:alias)}\n  end\n\n  @doc \"\"\"\n  Since the --before flag is the reference, once we have extracted a page of log,\n  we pick the first timestamped line, extract the timestamp, and add a bit of padding,\n  to be used as the next --before value.\n  \"\"\"\n  def build_next_end_time(logs) do\n    timestamped_log = logs |> Enum.at(0)\n    timestamp = timestamped_log |> String.split(\" \") |> List.first() |> String.trim_trailing(\":\")\n    {:ok, timestamp, 0} = DateTime.from_iso8601(timestamp)\n    DateTime.add(timestamp, +1, :second)\n  end\n\n  @doc \"\"\"\n  Logs are fetched based on --before value, then deduplicated (since we do not want to\n  show a given line twice, and this could happen), and finally reversed because we process\n  everything backward\n  \"\"\"\n  def extract_log_page_and_update_state(app, state) do\n    logs = fetch_log_page(app, state.end_time)\n    {_seen, unseen} = logs |> Enum.split_with(&MapSet.member?(state.seen_lines, &1))\n\n    {\n      logs |> Enum.reverse(),\n      state\n      |> Map.put(:end_time, build_next_end_time(logs))\n      |> Map.put(:seen_lines, state.seen_lines |> MapSet.union(MapSet.new(unseen)))\n    }\n  end\n\n  def run(args) do\n    {original_start_time, original_end_time, app} = prep_args(args)\n\n    Logger.info(\"Fetching logs from #{original_start_time} to #{original_end_time}\")\n\n    # extract the logs in backward fashion, because clever cloud CLI currently\n    # treats the --before as the starting point\n    logs =\n      Stream.resource(\n        fn -> %{end_time: original_end_time, seen_lines: MapSet.new()} end,\n        fn state ->\n          if state.end_time < original_start_time do\n            {:halt, nil}\n          else\n            extract_log_page_and_update_state(app, state)\n          end\n        end,\n        fn _ -> nil end\n      )\n\n    logs\n    |> Enum.reverse()\n    |> Enum.each(&IO.puts(&1))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/npm.ex",
    "content": "defmodule Mix.Tasks.Npm do\n  @moduledoc \"\"\"\n  Executes npm scripts from assets directory.\n  \"\"\"\n\n  use Mix.Task\n\n  def run([cmd | _tail]) do\n    \"npm --prefix apps/transport/client #{cmd}\"\n    |> Mix.shell().cmd(stderr_to_stdout: true)\n    |> case do\n      0 -> :ok\n      a -> raise \"npm command failure exit code: #{a}\"\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/transport/add_dataset_subtypes.ex",
    "content": "defmodule Mix.Tasks.Transport.AddDatasetSubtypes do\n  @moduledoc \"\"\"\n  Create dataset subtypes.\n  Run with `mix Transport.AddDatasetSubtypes`.\n  \"\"\"\n  use Mix.Task\n  require Logger\n\n  def run(_params) do\n    Mix.Task.run(\"app.start\")\n\n    insert!(\"public-transit\", \"urban\")\n    insert!(\"public-transit\", \"intercity\")\n    insert!(\"public-transit\", \"school\")\n    insert!(\"public-transit\", \"seasonal\")\n    insert!(\"public-transit\", \"zonal_drt\")\n\n    insert!(\"vehicles-sharing\", \"bicycle\")\n    insert!(\"vehicles-sharing\", \"scooter\")\n    insert!(\"vehicles-sharing\", \"carsharing\")\n    insert!(\"vehicles-sharing\", \"moped\")\n    insert!(\"vehicles-sharing\", \"freefloating\")\n  end\n\n  def insert!(parent_type, slug) do\n    DB.DatasetSubtype.changeset(%DB.DatasetSubtype{}, %{\n      parent_type: parent_type,\n      slug: slug\n    })\n    |> DB.Repo.insert!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/transport/add_monaco.ex",
    "content": "defmodule Mix.Tasks.Transport.AddMonaco do\n  @moduledoc \"\"\"\n  Adds Monaco as a country to the administrative_division table.\n  Run with `mix Transport.AddMonaco`.\n  \"\"\"\n\n  use Mix.Task\n  require Logger\n\n  @geojson_url \"https://github.com/user-attachments/files/22597333/monaco.txt\"\n\n  def run(_params) do\n    Logger.info(\"Adding Monaco to administrative_division table\")\n\n    Mix.Task.run(\"app.start\")\n\n    Logger.info(\"Downloading Monaco GeoJSON...\")\n    %{\"features\" => [%{\"geometry\" => geojson_data}]} = download_geojson()\n\n    Logger.info(\"Inserting Monaco...\")\n    insert_monaco(geojson_data)\n\n    Logger.info(\"Monaco successfully added to administrative divisions\")\n  end\n\n  defp download_geojson do\n    %Req.Response{status: 200, body: body} = Req.get!(@geojson_url)\n    body |> Jason.decode!()\n  end\n\n  defp insert_monaco(geojson_data) do\n    existing = DB.Repo.get_by(DB.AdministrativeDivision, type_insee: \"pays_MC\")\n\n    if existing do\n      Logger.info(\"Monaco already exists, skipping.\")\n    else\n      {:ok, geom} = Geo.PostGIS.Geometry.cast(geojson_data)\n      geom = %{geom | srid: 4326}\n\n      %DB.AdministrativeDivision{\n        type_insee: \"pays_MC\",\n        insee: \"MC\",\n        type: :pays,\n        nom: \"Monaco\",\n        geom: geom,\n        # 2024 estimate\n        population: 38_631\n      }\n      |> DB.Repo.insert!()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/transport/add_switzerland.ex",
    "content": "defmodule Mix.Tasks.Transport.AddSwitzerland do\n  @moduledoc \"\"\"\n  Adds Switzerland as a country to the administrative_division table.\n  Run with `mix Transport.AddSwitzerland`.\n  \"\"\"\n  use Mix.Task\n  require Logger\n\n  @geojson_url \"https://geo2day.com/europe/switzerland.geojson\"\n\n  def run(_params) do\n    Logger.info(\"Adding Switzerland to administrative_division table\")\n\n    Mix.Task.run(\"app.start\")\n\n    Logger.info(\"Downloading Switzerland GeoJSON...\")\n    %{\"features\" => [%{\"geometry\" => geojson_data}]} = download_geojson()\n\n    Logger.info(\"Inserting Switzerland...\")\n    insert_switzerland(geojson_data)\n\n    Logger.info(\"Switzerland successfully added to administrative divisions\")\n  end\n\n  defp download_geojson do\n    %Req.Response{status: 200, body: body} = Req.get!(@geojson_url)\n    body |> Jason.decode!()\n  end\n\n  defp insert_switzerland(geojson_data) do\n    existing = DB.Repo.get_by(DB.AdministrativeDivision, type_insee: \"pays_CH\")\n\n    if existing do\n      Logger.info(\"Switzerland already exists, skipping.\")\n    else\n      {:ok, geom} = Geo.PostGIS.Geometry.cast(geojson_data)\n      geom = %{geom | srid: 4326}\n\n      %DB.AdministrativeDivision{\n        type_insee: \"pays_CH\",\n        insee: \"MC\",\n        type: :pays,\n        nom: \"Switzerland\",\n        geom: geom,\n        # 2024 estimate\n        population: 8_981_565\n      }\n      |> DB.Repo.insert!()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/transport/import_aoms.ex",
    "content": "defmodule Mix.Tasks.Transport.ImportAOMs do\n  @moduledoc \"\"\"\n  Import the AOM files and updates the database.\n\n  The AOM files come from the Cerema dataset:\n  https://www.data.gouv.fr/fr/datasets/liste-et-composition-des-autorites-organisatrices-de-la-mobilite-aom/\n  https://www.cerema.fr/fr/actualites/liste-composition-autorites-organisatrices-mobilite-au-1er-4\n\n  and pushed as community resources on data.gouv.fr.\n  There are 2 files:\n  - one with the description of each AOM\n  - one with the list of cities that are part of each AOM\n\n  This is a one shot import task, run when the AOM have changed, at least every year.\n\n  The import can be launched through mix Transport.ImportAOMs\n  \"\"\"\n\n  @shortdoc \"Refreshes the database table `aom` with the latest data\"\n  use Mix.Task\n  import Ecto.Query\n  alias DB.{AOM, Commune, Region, Repo}\n  require Logger\n\n  # The resources urls\n  # To create the following file:\n  # download the Cerema file (.ods)\n  # rename columns that are on two lines\n  # export as CSV and publish as community resource\n  @aom_file \"https://www.data.gouv.fr/api/1/datasets/r/2e89a90a-6ca5-445b-b6c2-6f49cdeb8a2d\"\n  # Same for composition of each AOM, but no need even to rename columns\n  @aom_insee_file \"https://www.data.gouv.fr/api/1/datasets/r/5195d58d-572e-4f13-8477-bbb11da42b93\"\n\n  # We don’t add collectivité d’outremer de Saint-Martin\n  @ignored_aom_sirens [\"219711272\"]\n\n  @spec to_int(binary()) :: number() | nil\n  def to_int(\"\"), do: nil\n  def to_int(\"#N/D\"), do: nil\n  def to_int(\"#ERROR!\"), do: nil\n\n  def to_int(str) do\n    str\n    |> String.replace(\" \", \"\")\n    # also replace non breaking spaces\n    |> String.replace(\"\\u00A0\", \"\")\n    |> String.to_integer()\n  end\n\n  @spec changeset(map()) :: {integer(), Ecto.Changeset.t()}\n  def changeset(line) do\n    aom = line |> existing_or_new_aom() |> Repo.preload(:region)\n\n    nom = normalize_nom(String.trim(line[\"Nom\"]))\n    new_region = Repo.get_by(Region, nom: normalize_region(line[\"Région\"]))\n\n    if !is_nil(aom.region) and !is_nil(new_region) and aom.region != new_region do\n      Logger.info(\"aom #{nom} || previous region #{aom.region.nom} --- #{new_region.nom}\")\n    end\n\n    siren = line[\"N° SIREN\"] |> String.trim()\n\n    {siren,\n     Ecto.Changeset.change(aom, %{\n       departement: extract_departement_insee(line[\"Département\"]),\n       siren: siren,\n       nom: nom,\n       forme_juridique: normalize_forme(line[\"Forme juridique\"]),\n       # This is inconsistent with the real number of communes for some lines\n       nombre_communes: to_int(line[\"Nombre de communes\"]),\n       population: to_int(line[\"Population\"]),\n       # Database stores a string, we could use a float\n       surface: line[\"Surface (km²)\"] |> String.trim() |> String.replace(\",\", \".\"),\n       region: new_region\n     })}\n  end\n\n  @spec normalize_region(binary()) :: binary()\n  defp normalize_region(\"Grand-Est\"), do: \"Grand Est\"\n  defp normalize_region(\"Provence-Alpes-Côte-d'Azur\"), do: \"Région Sud — Provence-Alpes-Côte d’Azur\"\n  defp normalize_region(\"Provence-Alpes-Côte d'Azur\"), do: \"Région Sud — Provence-Alpes-Côte d’Azur\"\n  defp normalize_region(\"Nouvelle Aquitaine\"), do: \"Nouvelle-Aquitaine\"\n  defp normalize_region(\"Auvergne-Rhône Alpes\"), do: \"Auvergne-Rhône-Alpes\"\n  defp normalize_region(\"Nouvelle Calédonie\"), do: \"Nouvelle-Calédonie\"\n  defp normalize_region(region), do: region\n\n  @spec normalize_forme(binary()) :: binary()\n  defp normalize_forme(\"CA\"), do: \"Communauté d'agglomération\"\n  defp normalize_forme(\"CU\"), do: \"Communauté urbaine\"\n  defp normalize_forme(\"CC\"), do: \"Communauté de communes\"\n  defp normalize_forme(\"METRO\"), do: \"Métropole\"\n  defp normalize_forme(\"PETR\"), do: \"Pôle d'équilibre territorial et rural\"\n  defp normalize_forme(\"POLEM\"), do: \"Pôle Métropolitain\"\n  defp normalize_forme(f), do: f\n\n  @spec normalize_nom(binary()) :: binary()\n  defp normalize_nom(\"SIVOTU (nouvelle dénomination le 24/02/2010:AGGLOBUS)\"), do: \"Agglobus\"\n  defp normalize_nom(\"ILE D'YEU\"), do: \"L'Île-d'Yeu\"\n  defp normalize_nom(n), do: n\n\n  # Oups\n  defp extract_departement_insee(\"977 - Collectivité d’outre-mer de Nouvelle Calédonie\"), do: \"988\"\n  defp extract_departement_insee(insee_and_name), do: insee_and_name |> String.split(\" - \") |> hd() |> String.trim()\n\n  def run(_params) do\n    Logger.info(\"Starting AOM import\")\n    Mix.Task.run(\"app.start\")\n\n    old_aoms =\n      AOM\n      |> Repo.all()\n      |> Map.new(fn aom -> {aom.siren, aom} end)\n\n    # get all the aom to import, outside of the transaction to reduce the time in the transaction\n    # this already builds the changeset\n    # Mapset of {aom_siren, changeset}\n    aoms_to_add = get_aom_to_import() |> Enum.map(&changeset/1) |> MapSet.new()\n\n    display_changes(old_aoms, aoms_to_add)\n\n    {:ok, _} =\n      Repo.transaction(\n        fn ->\n          disable_trigger()\n          # we load all aoms\n          import_aoms(aoms_to_add)\n          # Some datasets should change AOM\n          migrate_datasets_to_new_aoms()\n          delete_old_aoms(aoms_to_add, old_aoms)\n          # we load the join on cities\n          import_insee_aom()\n          enable_trigger()\n        end,\n        timeout: :infinity\n      )\n\n    # we can then compute the aom geometries (the union of each cities geometries)\n    compute_geom()\n    set_main_commune()\n\n    :ok\n  end\n\n  defp get_aom_to_import do\n    Logger.info(\"Importing Cerema file…\")\n\n    {:ok, %HTTPoison.Response{status_code: 200, body: body}} =\n      HTTPoison.get(@aom_file, [], hackney: [follow_redirect: true])\n\n    {:ok, stream} = StringIO.open(body)\n\n    stream\n    |> IO.binstream(:line)\n    |> CSV.decode(separator: ?,, headers: true, validate_row_length: true)\n    |> Enum.map(fn {:ok, line} -> line end)\n    |> Enum.reject(fn line -> line[\"N° SIREN\"] in ([\"\", nil] ++ @ignored_aom_sirens) end)\n  end\n\n  defp existing_or_new_aom(line) do\n    AOM\n    |> Repo.get_by(nom: normalize_nom(String.trim(line[\"Nom\"])))\n    |> case do\n      nil ->\n        %AOM{}\n\n      aom ->\n        aom\n    end\n  end\n\n  defp import_aoms(aoms_to_add) do\n    Logger.info(\"importing AOMs…\")\n    aoms_to_add |> Enum.each(fn {_id, aom} -> Repo.insert_or_update!(aom) end)\n  end\n\n  defp delete_old_aoms(aom_added, old_aoms) do\n    Logger.info(\"deleting removed aom\")\n\n    ids_added =\n      aom_added\n      |> Enum.map(fn {id, _changeset} -> id end)\n      |> MapSet.new()\n\n    old_aoms\n    |> Enum.each(fn {aom_siren, old_aom} ->\n      unless MapSet.member?(ids_added, aom_siren) do\n        Logger.info(\"trying to delete old aom: #{old_aom.id} - #{old_aom.nom}\")\n\n        # Note: if the delete is impossible, you need to find what still depend on this aom,\n        # and change the link to a newer aom\n        Repo.delete!(old_aom)\n      end\n    end)\n  end\n\n  defp import_insee_aom do\n    Logger.info(\"Linking AOMs to cities\")\n\n    {:ok, %HTTPoison.Response{status_code: 200, body: body}} =\n      HTTPoison.get(@aom_insee_file, [], hackney: [follow_redirect: true])\n\n    {:ok, stream} = StringIO.open(body)\n\n    stream\n    |> IO.binstream(:line)\n    |> CSV.decode(separator: ?,, headers: true, validate_row_length: true)\n    |> Enum.map(fn {:ok, line} -> {line[\"N° INSEE\"], line[\"N° SIREN AOM\"]} end)\n    |> Enum.reject(fn {_insee, siren_reseau} -> siren_reseau == \"\" || siren_reseau == \"-\" end)\n    |> Enum.flat_map(fn {insee, siren_reseau} ->\n      # To reduce the number of UPDATE in the DB, we first check which city needs to be updated\n      Commune\n      |> where([c], c.insee == ^insee and (c.aom_siren != ^siren_reseau or is_nil(c.aom_siren)))\n      |> select([c], c.id)\n      |> Repo.all()\n      |> Enum.map(fn c -> {c, siren_reseau} end)\n    end)\n    |> Enum.reduce(%{}, fn {commune, aom}, commune_by_aom ->\n      # Then we group those city by AO, to only do one UPDATE query for several cities\n      commune_by_aom\n      |> Map.update(aom, [commune], fn list_communes -> [commune | list_communes] end)\n    end)\n    |> Enum.map(fn {aom, list_communes} ->\n      Commune\n      |> where([c], c.id in ^list_communes)\n      |> Repo.update_all(set: [aom_siren: aom])\n    end)\n  end\n\n  defp compute_geom do\n    Logger.info(\"computing AOM geometries\")\n\n    Repo.update_all(\n      from(a in AOM,\n        update: [\n          set: [\n            geom:\n              fragment(\n                \"\"\"\n                  (\n                    SELECT\n                    ST_UNION(commune.geom)\n                    FROM commune\n                    WHERE commune.aom_siren = ?\n                  )\n                \"\"\",\n                a.siren\n              )\n          ]\n        ]\n      ),\n      [],\n      timeout: :infinity\n    )\n  end\n\n  def set_main_commune do\n    Logger.info(\"set main commune\")\n\n    max_for_each_aom =\n      from(c in DB.Commune,\n        where: not is_nil(c.aom_siren),\n        group_by: c.aom_siren,\n        select: %{aom_siren: c.aom_siren, max_population: max(c.population)}\n      )\n\n    main_communes =\n      from(c in DB.Commune,\n        where: not is_nil(c.aom_siren),\n        join: max_for_each_aom in subquery(max_for_each_aom),\n        on: c.aom_siren == max_for_each_aom.aom_siren and c.population == max_for_each_aom.max_population,\n        select: [c.aom_siren, c.insee]\n      )\n\n    main_communes =\n      main_communes\n      |> DB.Repo.all()\n      |> MapSet.new(fn [aom_siren, insee] -> {aom_siren, insee} end)\n\n    {:ok, _} =\n      Repo.transaction(\n        fn ->\n          main_communes\n          |> Enum.each(fn {aom_siren, insee} ->\n            AOM\n            |> where([a], a.siren == ^aom_siren)\n            |> Repo.update_all(set: [insee_commune_principale: insee])\n          end)\n        end,\n        timeout: :infinity\n      )\n  end\n\n  defp migrate_datasets_to_new_aoms do\n    queries = \"\"\"\n    -- This could be mostly automatized, you just have to look for a commune of the old AOM and see where it was migrated.\n    --\n    -- 2023\n    -- [info] Datasets still associated with deleted AOM as territory :\n    -- %{230 => [[230, 275, 401]], 449 => [[449, 1509, 653]]}\n    -- [info] Datasets still associated with deleted AOM as legal owner:\n    -- %{230 => [[230, 275, 401], [230, 275, 338]],\n    -- 440 => [[440, 1475, 732]],\n    -- 449 => [[449, 1509, 653], [449, 1509, 787]],\n    -- 558 => [[558, 1469, 732]],\n    -- 677 => [[677, 1478, 732]]}\n    -- CC du Pays d'Issoudun (id : 230, res_id: 275) to Région Centre-Val de Loire (CC du Pays d'Issoudun) (res_id: 13608)\n    -- Migrates this dataset as both territory and legal owner https://transport.data.gouv.fr/datasets/issoudun-offre-theorique-mobilite-reseau-urbain\n    -- This one as legal owner https://transport.data.gouv.fr/datasets/arrets-itineraires-et-horaires-theoriques-des-reseaux-de-transport-des-membres-de-jvmalin\n    -- update dataset set aom_id = (select id from aom where composition_res_id = 13608) where aom_id = 230;\n    -- update dataset_aom_legal_owner set aom_id = (select id from aom where composition_res_id = 13608) where aom_id = 230;\n    -- CC Arve et Salève (id : 440, res_id: 1475) to SM4CC (res_id: 417)\n    -- CC Faucigny-Glières (id: 558, res_id :1509 to SM4CC (res_id: 417)\n    -- CC du Pays Rochois (id: 677, res_id: 1478 to SM4CC (res_id: 417)\n    -- There is a fourth CC in SM4CC, CC des Quatre Rivières (haute savoie)\n    -- Removes aggregate legal owner here https://transport.data.gouv.fr/datasets/agregat-oura but keeps SM4CC\n    -- delete from dataset_aom_legal_owner where aom_id in (440, 558, 677);\n    -- L'Île-d'Yeu (id: 449, res_id: 1509) to L’Île-d’Yeu (res_id: 310);\n    -- update dataset set aom_id = (select id from aom where composition_res_id = 310) where aom_id = 449;\n    -- update dataset_aom_legal_owner set aom_id = (select id from aom where composition_res_id = 310) where aom_id = 449;\n    --\n    -- 2024\n    -- Migrates a dataset to Pôle Métropolitain Mobilités Le Mans – Sarthe\n    -- update dataset_aom_legal_owner set aom_id = (select id from aom where composition_res_id = 1293) where aom_id IN (1283, 1285, 1288, 1292, 1294);\n    -- 2025\n    -- Datasets still associated with deleted AOM as territory\n    -- %{\n    --   26 => [[26, \"256900994\", 1217], [26, \"256900994\", 871], [26, \"256900994\", 1216], [26, \"256900994\", 1259], [26, \"256900994\", 1139], [26, \"256900994\", 755], [26, \"256900994\", 695], [26, \"256900994\", 318]],\n    --   66 => [[66, \"200011773\", 1179], [66, \"200011773\", 164]],\n    --   168 => [[168, \"246700967\", 531]],\n    --   263 => [[263, \"200016632\", 940]],\n    --   1047 => [[1047, \"243800984\", 742]],\n    --   1301 => [[1301, \"200070464\", 1123]]\n    -- }\n    update dataset set aom_id = (select id from aom where siren = '200096386') where aom_id = 26;\n    update dataset set aom_id = (select id from aom where siren = '200075372') where aom_id = 66;\n    update dataset set aom_id = (select id from aom where siren = '200069680') where aom_id = 168;\n    update dataset set aom_id = (select id from aom where nom = 'Région Auvergne-Rhône-Alpes (CC du Bassin d''Aubenas)') where aom_id = 263;\n    update dataset set aom_id = (select id from aom where siren = '253800825') where aom_id = 1047;\n    update dataset set aom_id = (select id from aom where nom = 'Région Auvergne-Rhône-Alpes (CC Coeur de Maurienne Arvan)') where aom_id = 1301;\n    \"\"\"\n\n    queries |> String.split(\";\") |> Enum.each(&Repo.query!/1)\n  end\n\n  defp disable_trigger do\n    DB.Repo.query!(\"ALTER TABLE aom DISABLE TRIGGER aom_update_trigger;\")\n  end\n\n  defp enable_trigger do\n    DB.Repo.query!(\"ALTER TABLE aom ENABLE TRIGGER aom_update_trigger;\")\n  end\n\n  defp display_changes(old_aoms, aoms_to_add) do\n    mapset_first_elem_diff = fn a, b ->\n      a |> MapSet.new(&elem(&1, 0)) |> MapSet.difference(b |> MapSet.new(&elem(&1, 0)))\n    end\n\n    new_aoms = mapset_first_elem_diff.(aoms_to_add, old_aoms)\n    removed_aoms = mapset_first_elem_diff.(old_aoms, aoms_to_add)\n    Logger.info(\"#{new_aoms |> Enum.count()} new AOMs. SIRENs: #{Enum.join(new_aoms, \", \")}\")\n    Logger.info(\"#{removed_aoms |> Enum.count()} removed AOMs. SIRENs: #{Enum.join(removed_aoms, \", \")}\")\n\n    deleted_legal_owners_query =\n      from(d in DB.Dataset,\n        # This magically works with the many_to_many\n        join: aom in assoc(d, :legal_owners_aom),\n        where: aom.siren in ^(removed_aoms |> MapSet.to_list()),\n        select: [aom.id, aom.siren, d.id]\n      )\n\n    deleted_legal_owners = deleted_legal_owners_query |> DB.Repo.all() |> Enum.group_by(&hd(&1))\n\n    Logger.info(\n      \"Datasets still associated with deleted AOM as legal owner (aom.id => [aom.id, aom.siren, dataset.id]): #{inspect(deleted_legal_owners)}\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/transport/import_communes.ex",
    "content": "defmodule Mix.Tasks.Transport.ImportCommunes do\n  @moduledoc \"\"\"\n  Import or updates commune data (list, geometry) from official sources.\n  Run with `WORKER=0 mix Transport.ImportCommunes`.\n  \"\"\"\n  @shortdoc \"Refreshes the database table `commune` with the latest data\"\n  use Mix.Task\n  import Ecto.Query\n  alias DB.{Commune, Region, Repo}\n  alias Ecto.Changeset\n  require Logger\n\n  # List of communes with their geometry, but lacking additional information\n  @communes_geojson_url \"http://etalab-datasets.geo.data.gouv.fr/contours-administratifs/2025/geojson/communes-100m.geojson\"\n  # List of official communes with additional information (population, arrondissement, etc.)\n  # See https://github.com/etalab/decoupage-administratif\n  @communes_url \"https://unpkg.com/@etalab/decoupage-administratif@5.0.2/data/communes.json\"\n\n  @doc \"Loads regions from the database and returns a list of tuples with INSEE code and id\"\n  def regions_by_insee do\n    Region |> Repo.all() |> Enum.into(%{}, fn region -> {region.insee, region.id} end)\n  end\n\n  @doc \"Loads GeoJSON data from the official source and returns a list of tuples with INSEE code and geometry\"\n  def geojson_by_insee do\n    %{status: 200, body: body} =\n      Req.get!(@communes_geojson_url, connect_options: [timeout: 15_000], receive_timeout: 15_000)\n\n    body\n    # Req doesn’t decode GeoJSON body automatically as it does for JSON\n    |> Jason.decode!()\n    |> Map.fetch!(\"features\")\n    |> Enum.into(%{}, fn record -> {record[\"properties\"][\"code\"], record[\"geometry\"]} end)\n  end\n\n  @doc \"\"\"\n  Loads communes from the official network source and returns a list of communes as maps.\n  Result is filtered, we only get:\n  - Current communes (there may have been communes deletions)\n  - Communes from the regions we have in the database\n  \"\"\"\n  def load_etalab_communes(region_insees) do\n    %{status: 200, body: body} = Req.get!(@communes_url, connect_options: [timeout: 15_000], receive_timeout: 15_000)\n\n    body\n    |> Enum.filter(&(&1[\"type\"] == \"commune-actuelle\" and &1[\"region\"] in region_insees))\n  end\n\n  @doc \"\"\"\n  First creates the commune (without geometry) if it doesn’t exist.\n  Then updates the commune with the new data through a changeset.\n  Returns a list of keys of changed fields for statistics.\n  \"\"\"\n  def insert_or_update_commune(\n        %{\n          \"code\" => insee,\n          \"nom\" => nom,\n          \"region\" => region_insee,\n          \"population\" => population,\n          \"departement\" => departement_insee\n        } = params,\n        regions,\n        geojsons\n      ) do\n    changeset =\n      insee\n      |> get_or_create_commune()\n      |> Changeset.change(%{\n        insee: insee,\n        nom: nom,\n        region_id: Map.fetch!(regions, region_insee),\n        geom: build_geometry(geojsons, insee),\n        population: population,\n        siren: Map.get(params, \"siren\"),\n        arrondissement_insee: Map.get(params, \"arrondissement\"),\n        departement_insee: departement_insee\n      })\n\n    changeset_change_keys = changeset.changes |> Map.keys()\n\n    unless Enum.empty?(changeset_change_keys -- [:geom, :population]) do\n      Logger.info(\"Important changes for INSEE #{changeset.data.insee}. #{readable_changeset(changeset)}\")\n    end\n\n    changeset |> Repo.insert_or_update!()\n    changeset_change_keys\n  end\n\n  # See https://github.com/datagouv/decoupage-administratif/issues/49 for the 3 communes below\n  # Population taken on Wikipedia, 2021\n  def insert_or_update_commune(%{\"code\" => \"60694\", \"nom\" => \"Les Hauts-Talican\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 543), regions, geojsons)\n\n  def insert_or_update_commune(%{\"code\" => \"85165\", \"nom\" => \"L'Oie\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 1259), regions, geojsons)\n\n  def insert_or_update_commune(%{\"code\" => \"85212\", \"nom\" => \"Sainte-Florence\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 1333), regions, geojsons)\n\n  def insert_or_update_commune(%{\"code\" => \"12218\", \"nom\" => \"Conques-en-Rouergue\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 1_555), regions, geojsons)\n\n  def insert_or_update_commune(%{\"code\" => \"14581\", \"nom\" => \"Aurseulles\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 1_908), regions, geojsons)\n\n  def insert_or_update_commune(%{\"code\" => \"15031\", \"nom\" => \"Celles\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 25), regions, geojsons)\n\n  def insert_or_update_commune(%{\"code\" => \"15035\", \"nom\" => \"Chalinargues\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 311), regions, geojsons)\n\n  def insert_or_update_commune(%{\"nom\" => \"Chavagnac\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 91), regions, geojsons)\n\n  def insert_or_update_commune(%{\"nom\" => \"Sainte-Anastasie\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 124), regions, geojsons)\n\n  def insert_or_update_commune(%{\"nom\" => \"Orée d'Anjou\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 16_975), regions, geojsons)\n\n  def insert_or_update_commune(%{\"nom\" => \"Porte des Pierres Dorées\"} = params, regions, geojsons),\n    do: insert_or_update_commune(params |> Map.put(\"population\", 4_079), regions, geojsons)\n\n  defp get_or_create_commune(insee) do\n    Commune\n    |> Repo.get_by(insee: insee)\n    |> case do\n      nil ->\n        %Commune{}\n\n      commune ->\n        commune\n    end\n  end\n\n  defp build_geometry(geojsons, insee) do\n    # Consider using `ST_MakeValid when it will be available\n    # https://github.com/bryanjos/geo_postgis/pull/146\n    {:ok, geom} = Geo.PostGIS.Geometry.cast(Map.fetch!(geojsons, insee))\n    %{geom | srid: 4326}\n  end\n\n  defp readable_changeset(%Ecto.Changeset{changes: changes, data: data}) do\n    changes\n    |> Map.keys()\n    |> Enum.map_join(\" ; \", fn key -> \"#{key}: #{Map.get(data, key)} => #{Map.get(changes, key)}\" end)\n  end\n\n  def run(_params) do\n    Logger.info(\"Importing communes\")\n\n    Mix.Task.run(\"app.start\")\n\n    # Gets a list of tuples describing regions from the database\n    regions = regions_by_insee()\n    region_insees = regions |> Map.keys()\n    # Gets a list of tuples describing communes GeoJSON from the network\n    geojsons = geojson_by_insee()\n    # Gets the official list of communes from the network and filter them to match database regions\n    etalab_communes = load_etalab_communes(region_insees)\n    etalab_insee = etalab_communes |> Enum.map(& &1[\"code\"])\n    # Loads current communes INSEE list from the database\n    communes_insee = Commune |> select([c], c.insee) |> Repo.all()\n\n    new_communes = etalab_insee |> MapSet.new() |> MapSet.difference(MapSet.new(communes_insee))\n    nb_new = new_communes |> Enum.count()\n    removed_communes = communes_insee |> MapSet.new() |> MapSet.difference(MapSet.new(etalab_insee)) |> Enum.into([])\n    nb_removed = removed_communes |> Enum.count()\n\n    Logger.info(\"#{nb_new} new communes. INSEE codes: #{Enum.join(new_communes, \", \")}\")\n    Logger.info(\"#{nb_removed} communes should be removed. INSEE codes: #{Enum.join(removed_communes, \", \")}\")\n\n    Logger.info(\"Deleting removed communes…\")\n    Commune |> where([c], c.insee in ^removed_communes) |> Repo.delete_all()\n\n    Logger.info(\"Updating communes (including potentially incorrect geometry)…\")\n    # Inserts new communes, updates existing ones (mainly geometry, but also names…)\n    changelist = etalab_communes |> Enum.map(&insert_or_update_commune(&1, regions, geojsons))\n    Logger.info(\"Finished. Count of changes: #{inspect(changelist |> List.flatten() |> Enum.frequencies())}\")\n\n    Logger.info(\"Ensure valid geometries and rectify if needed.\")\n    ensure_valid_geometries()\n\n    Logger.info(\"Updating administrative_division.\")\n    update_administrative_division()\n  end\n\n  defp ensure_valid_geometries,\n    do: Repo.query!(\"UPDATE commune SET geom = ST_MakeValid(geom) WHERE NOT ST_IsValid(geom);\")\n\n  def update_administrative_division do\n    DB.Repo.query!(\"\"\"\n      DELETE\n      FROM administrative_division\n      WHERE type = 'commune' AND insee NOT IN (SELECT insee FROM commune);\n    \"\"\")\n\n    DB.Repo.query!(\"\"\"\n      INSERT INTO administrative_division (type_insee, insee, type, nom, geom, population)\n      SELECT\n        CONCAT('commune_', insee) AS type_insee,\n        insee,\n        'commune' AS type,\n        nom,\n        geom,\n        population\n      FROM commune\n      WHERE insee NOT IN (select insee from administrative_division where type = 'commune')\n    \"\"\")\n\n    DB.Repo.query!(\"\"\"\n      update administrative_division set nom = t.nom, geom = t.geom, population = t.population\n      from (\n        select insee, nom, geom, population\n        from commune\n      ) t where t.insee = administrative_division.insee and type = 'commune'\n       and (\n          administrative_division.nom != t.nom\n          or administrative_division.population != t.population\n          or not st_equals(administrative_division.geom, t.geom)\n       )\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/transport/import_departements.ex",
    "content": "defmodule Mix.Tasks.Transport.ImportDepartements do\n  @moduledoc \"Import the departements\"\n  @shortdoc \"Refreshes the database table `departement` with the latest data\"\n\n  use Mix.Task\n  import Ecto.Query\n  alias DB.{Departement, Repo}\n  alias Ecto.Changeset\n  require Logger\n\n  @departements_geojson_url \"http://etalab-datasets.geo.data.gouv.fr/contours-administratifs/2024/geojson/departements-100m.geojson\"\n  # See https://github.com/etalab/decoupage-administratif\n  @departements_url \"https://unpkg.com/@etalab/decoupage-administratif@4.0.0/data/departements.json\"\n\n  def insert_or_update_departement(\n        %{\n          \"code\" => insee,\n          \"region\" => region,\n          \"chefLieu\" => chef_lieu,\n          \"nom\" => nom,\n          \"zone\" => zone\n        },\n        geojsons\n      ) do\n    changeset =\n      insee\n      |> get_or_create_departement()\n      |> Changeset.change(%{\n        insee: insee,\n        region_insee: region,\n        chef_lieu: chef_lieu,\n        nom: nom,\n        zone: zone,\n        geom: build_geometry(geojsons, insee)\n      })\n\n    changeset_change_keys = changeset.changes |> Map.keys()\n\n    unless Enum.empty?(changeset_change_keys -- [:geom, :population]) do\n      Logger.info(\"Important changes for INSEE #{insee}. #{readable_changeset(changeset)}\")\n    end\n\n    changeset |> Repo.insert_or_update!()\n    changeset_change_keys\n  end\n\n  defp geojson_by_insee do\n    %{status: 200, body: body} =\n      Req.get!(@departements_geojson_url, connect_options: [timeout: 15_000], receive_timeout: 15_000)\n\n    body\n    # Req doesn’t decode GeoJSON body automatically as it does for JSON\n    |> Jason.decode!()\n    |> Map.fetch!(\"features\")\n    |> Enum.into(%{}, fn record -> {record[\"properties\"][\"code\"], record[\"geometry\"]} end)\n  end\n\n  defp get_or_create_departement(insee) do\n    Departement\n    |> Repo.get_by(insee: insee)\n    |> case do\n      nil ->\n        %Departement{}\n\n      departement ->\n        departement\n    end\n  end\n\n  defp build_geometry(geojsons, insee) do\n    # Consider using `ST_MakeValid` when it will be available\n    # https://github.com/bryanjos/geo_postgis/pull/146\n    {:ok, geom} = Geo.PostGIS.Geometry.cast(Map.fetch!(geojsons, insee))\n    %{geom | srid: 4326}\n  end\n\n  defp load_etalab_departements do\n    %{status: 200, body: body} =\n      Req.get!(@departements_url, connect_options: [timeout: 15_000], receive_timeout: 15_000)\n\n    body\n    |> Enum.filter(&(&1[\"zone\"] in [\"metro\", \"drom\"] or &1[\"nom\"] == \"Nouvelle-Calédonie\"))\n  end\n\n  defp readable_changeset(%Ecto.Changeset{changes: changes, data: data}) do\n    changes\n    |> Map.keys()\n    |> Enum.map_join(\" ; \", fn key -> \"#{key}: #{Map.get(data, key)} => #{Map.get(changes, key)}\" end)\n  end\n\n  def run(_params) do\n    Logger.info(\"Importing departements\")\n\n    Mix.Task.run(\"app.start\")\n\n    geojsons = geojson_by_insee()\n\n    etalab_departements = load_etalab_departements()\n    etalab_insee = etalab_departements |> Enum.map(& &1[\"code\"])\n    departements_insee = Departement |> select([c], c.insee) |> Repo.all()\n\n    nb_new = etalab_insee |> MapSet.new() |> MapSet.difference(MapSet.new(departements_insee)) |> Enum.count()\n\n    removed_departements =\n      departements_insee |> MapSet.new() |> MapSet.difference(MapSet.new(etalab_insee)) |> Enum.into([])\n\n    nb_removed = removed_departements |> Enum.count()\n\n    Logger.info(\"#{nb_new} new departements\")\n    Logger.info(\"#{nb_removed} departements should be removed\")\n\n    Logger.info(\"Deleting removed communes…\")\n    Departement |> where([c], c.insee in ^removed_departements) |> Repo.delete_all()\n\n    Logger.info(\"Updating departments (including potentially incorrect geometry)…\")\n    changelist = etalab_departements |> Enum.map(&insert_or_update_departement(&1, geojsons))\n    Logger.info(\"Finished. Count of changes: #{inspect(changelist |> List.flatten() |> Enum.frequencies())}\")\n    Logger.info(\"Ensure valid geometries and rectify if needed.\")\n    ensure_valid_geometries()\n  end\n\n  defp ensure_valid_geometries,\n    do: Repo.query!(\"UPDATE departement SET geom = ST_MakeValid(geom) WHERE NOT ST_IsValid(geom);\")\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/transport/import_epci.ex",
    "content": "defmodule Mix.Tasks.Transport.ImportEPCI do\n  @moduledoc \"\"\"\n  Import the EPCI file to get the relation between the cities and the EPCI.\n  Run with `WORKER=0 mix transport.ImportEPCI`.\n  \"\"\"\n  use Mix.Task\n  alias DB.{Commune, EPCI, Repo}\n  alias Ecto.Changeset\n  import Ecto.Query\n  require Logger\n\n  @epci_file \"https://unpkg.com/@etalab/decoupage-administratif@5.0.2/data/epci.json\"\n  @epci_geojson_url \"http://etalab-datasets.geo.data.gouv.fr/contours-administratifs/2025/geojson/epci-100m.geojson\"\n\n  def run(_params) do\n    Logger.info(\"Importing EPCIs\")\n\n    Mix.Task.run(\"app.start\")\n\n    %{status: 200, body: json} = Req.get!(@epci_file, connect_options: [timeout: 15_000], receive_timeout: 15_000)\n    check_communes_list(json)\n    geojsons = geojson_by_insee()\n\n    json |> Enum.each(&insert_epci(&1, geojsons))\n    json |> Enum.each(&update_communes_epci/1)\n\n    # Remove EPCIs that have been removed\n    epci_codes = json |> Enum.map(& &1[\"code\"])\n    EPCI |> where([e], e.insee not in ^epci_codes) |> Repo.delete_all()\n\n    nb_epci = Repo.aggregate(EPCI, :count, :id)\n    Logger.info(\"#{nb_epci} are now in database\")\n\n    Logger.info(\"Ensure valid geometries and rectify if needed.\")\n    ensure_valid_geometries()\n    Logger.info(\"Updating administrative_division.\")\n    update_administrative_division()\n\n    :ok\n  end\n\n  @spec get_or_create_epci(binary()) :: EPCI.t()\n  defp get_or_create_epci(code) do\n    EPCI\n    |> Repo.get_by(insee: code)\n    |> case do\n      nil ->\n        %EPCI{}\n\n      epci ->\n        epci\n    end\n  end\n\n  @spec insert_epci(map(), map()) :: any()\n  defp insert_epci(%{\"code\" => code, \"nom\" => nom, \"type\" => type, \"modeFinancement\" => mode_financement}, geojsons) do\n    code\n    |> get_or_create_epci()\n    |> EPCI.changeset(%{\n      insee: code,\n      nom: nom,\n      type: normalize_type(type),\n      mode_financement: normalize_mode_financement(mode_financement),\n      geom: build_geometry(geojsons, code)\n    })\n    |> Repo.insert_or_update()\n  end\n\n  defp check_communes_list(body) do\n    all_communes =\n      body\n      |> Enum.map(fn epci ->\n        epci[\"membres\"] |> Enum.map(& &1[\"code\"])\n      end)\n      |> List.flatten()\n\n    duplicate_communes = all_communes -- Enum.uniq(all_communes)\n\n    if duplicate_communes != [] do\n      raise \"One or multiple communes belong to different EPCIs. List: #{duplicate_communes}\"\n    end\n  end\n\n  defp update_communes_epci(%{\"code\" => code, \"membres\" => m}) do\n    communes_arr = get_insees(m)\n    communes = Repo.all(from(c in Commune, where: c.insee in ^communes_arr))\n\n    communes\n    |> Enum.each(fn commune ->\n      commune\n      |> Changeset.change(epci_insee: code)\n      |> Repo.update()\n    end)\n\n    :ok\n  end\n\n  @spec get_insees([map()]) :: [binary()]\n  defp get_insees(members) do\n    members\n    |> Enum.map(fn m -> m[\"code\"] end)\n  end\n\n  defp geojson_by_insee do\n    %{status: 200, body: body} =\n      Req.get!(@epci_geojson_url, connect_options: [timeout: 15_000], receive_timeout: 15_000)\n\n    body\n    # Req doesn’t decode GeoJSON body automatically as it does for JSON\n    |> Jason.decode!()\n    |> Map.fetch!(\"features\")\n    |> Map.new(fn record -> {record[\"properties\"][\"code\"], record[\"geometry\"]} end)\n  end\n\n  defp build_geometry(geojsons, insee) do\n    {:ok, geom} = Geo.PostGIS.Geometry.cast(Map.fetch!(geojsons, insee))\n    %{geom | srid: 4326}\n  end\n\n  defp ensure_valid_geometries,\n    do: Repo.query!(\"UPDATE epci SET geom = ST_MakeValid(geom) WHERE NOT ST_IsValid(geom);\")\n\n  @spec normalize_type(binary()) :: binary()\n  defp normalize_type(\"CA\"), do: \"Communauté d'agglomération\"\n  defp normalize_type(\"CU\"), do: \"Communauté urbaine\"\n  defp normalize_type(\"CC\"), do: \"Communauté de communes\"\n  defp normalize_type(\"METRO\"), do: \"Métropole\"\n  defp normalize_type(\"MET69\"), do: \"Métropole de Lyon\"\n\n  @spec normalize_mode_financement(binary()) :: binary()\n  defp normalize_mode_financement(\"FPU\"), do: \"Fiscalité professionnelle unique\"\n  defp normalize_mode_financement(\"FA\"), do: \"Fiscalité additionnelle\"\n\n  def update_administrative_division do\n    DB.Repo.query!(\"\"\"\n      DELETE\n      FROM administrative_division\n      WHERE type = 'epci' AND insee NOT IN (SELECT insee FROM epci);\n    \"\"\")\n\n    DB.Repo.query!(\"\"\"\n      INSERT INTO administrative_division (type_insee, insee, type, nom, geom, population)\n      SELECT\n        CONCAT('epci_', epci.insee) AS type_insee,\n        epci.insee,\n        'epci' AS type,\n        nom,\n        geom,\n        t.population\n      FROM epci\n      JOIN (\n        SELECT epci_insee insee, sum(population) population\n        FROM commune\n        WHERE epci_insee is not null\n        group by 1\n      ) t on t.insee = epci.insee\n      WHERE epci.insee NOT IN (select insee from administrative_division where type = 'epci')\n    \"\"\")\n\n    DB.Repo.query!(\"\"\"\n      update administrative_division set nom = t.nom, geom = t.geom\n      from (\n        select insee, nom, geom\n        from epci\n      ) t where t.insee = administrative_division.insee and type = 'epci'\n       and (\n          administrative_division.nom != t.nom\n          or not st_equals(administrative_division.geom, t.geom)\n       )\n    \"\"\")\n\n    DB.Repo.query!(\"\"\"\n      update administrative_division set population = t.population\n      from (\n        SELECT epci_insee insee, sum(population) population\n        FROM commune\n        WHERE epci_insee is not null\n        group by 1\n      ) t\n      where t.insee = administrative_division.insee and type = 'epci'\n        and administrative_division.population != t.population\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/transport/import_offers.ex",
    "content": "defmodule Mix.Tasks.Transport.ImportOffers do\n  @moduledoc \"\"\"\n  Import transport offers from the Cerema.\n  Run with `mix Transport.ImportOffers`.\n  \"\"\"\n  @shortdoc \"Import transport offers from the Cerema\"\n  use Mix.Task\n  require Logger\n\n  # From https://docs.google.com/spreadsheets/d/1ItY-ozUk2IiR0-12_6hvAS5K2Ew2bziY/edit\n  @url \"https://gist.githubusercontent.com/AntoineAugusti/1f43bbe8b4674905333cd7b998845c5d/raw/aa13b1c57a9a948ca28a2badd946f326c29a8093/offers.csv\"\n\n  def run(_params) do\n    Logger.info(\"Importing offers\")\n\n    Mix.Task.run(\"app.start\")\n\n    DB.Repo.transaction(fn ->\n      truncate_offers()\n      import_offers()\n    end)\n  end\n\n  defp import_offers do\n    %Req.Response{status: 200, body: body} = Req.get!(@url)\n\n    [body]\n    |> CSV.decode!(headers: true, separator: ?,, escape_max_lines: 500)\n    |> Enum.map(&DB.Offer.changeset(%DB.Offer{}, &1))\n    |> Enum.each(&DB.Repo.insert!/1)\n  end\n\n  defp truncate_offers, do: DB.Repo.delete_all(DB.Offer)\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/transport/open_api_spec.ex",
    "content": "defmodule Mix.Tasks.Transport.OpenApiSpec do\n  @moduledoc \"\"\"\n  Task to generate OpenAPI spec\n  \"\"\"\n  alias TransportWeb.API.Spec\n\n  def run([output_file]) do\n    json = Jason.encode!(Spec.spec(), pretty: true)\n    :ok = File.write!(output_file, json)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/transport/update_france_geojson.ex",
    "content": "defmodule Mix.Tasks.Transport.UpdateFranceGeoJSON do\n  @moduledoc \"\"\"\n  Update France's geometry in administrative_division.\n  Run with `mix Transport.UpdateFranceGeoJSON`.\n  \"\"\"\n  use Mix.Task\n  require Logger\n\n  @geojson_url \"https://raw.githubusercontent.com/gregoiredavid/france-geojson/refs/heads/master/metropole-version-simplifiee.geojson\"\n\n  def run(_params) do\n    Mix.Task.run(\"app.start\")\n\n    Logger.info(\"Downloading GeoJSON…\")\n    %{\"geometry\" => geojson_data} = download_geojson()\n\n    update_france_geom(geojson_data)\n\n    Logger.info(\"France's geom has been updated\")\n  end\n\n  defp download_geojson do\n    %Req.Response{status: 200, body: body} = Req.get!(@geojson_url)\n    body |> Jason.decode!()\n  end\n\n  defp update_france_geom(geojson_data) do\n    {:ok, geom} = Geo.PostGIS.Geometry.cast(geojson_data)\n    geom = %{geom | srid: 4326}\n\n    DB.Repo.get_by(DB.AdministrativeDivision, type_insee: \"pays_FR\")\n    |> Ecto.Changeset.change(%{geom: geom})\n    |> DB.Repo.update!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/url.ex",
    "content": "defmodule Mix.Tasks.Url do\n  @moduledoc \"\"\"\n  Experimental task : given a URL, this tasks looks for the corresponding controller function definition, and gives the function's file name and line number\n\n  mix url http://0.0.0.0:5000/datasets?type=public-transit\n  #=> ../transport/lib/transport_web/controllers/dataset_controller.ex:12\n\n  mix url https://transport.data.gouv.fr/resources/8119#validation-report\n  #=> ../transport/lib/transport_web/controllers/resource_controller.ex:12\n  \"\"\"\n\n  use Mix.Task\n\n  def run([url]) do\n    %{path: path} = URI.parse(url)\n    %{plug: plug, plug_opts: plug_opts} = Phoenix.Router.route_info(TransportWeb.Router, \"GET\", path, \"\")\n\n    line_number = get_line_number(plug, plug_opts)\n    file_path = get_file_path(plug)\n\n    IO.puts(\"#{file_path}:#{line_number}\")\n  rescue\n    _ -> IO.puts(\"function definition not found\")\n  end\n\n  def get_file_path(module_name) do\n    [compile_infos] = Keyword.get_values(module_name.module_info(), :compile)\n    [source] = Keyword.get_values(compile_infos, :source)\n    source\n  end\n\n  def get_line_number(module, function_name) do\n    {_, _, _, _, _, _, functions_list} = Code.fetch_docs(module)\n\n    row =\n      functions_list |> Enum.find(fn {{type, name, _}, _, _, _, _} -> type == :function and name == function_name end)\n\n    {_, line, _, _, _} = row\n    line\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/mix/tasks/yarn.ex",
    "content": "defmodule Mix.Tasks.Yarn do\n  @moduledoc \"\"\"\n  Executes yarn scripts from assets directory.\n  \"\"\"\n\n  use Mix.Task\n\n  def run([cmd | _tail]) do\n    case Mix.shell().cmd(\"cd apps/transport/client && yarn #{cmd}\", stderr_to_stdout: true) do\n      0 -> :ok\n      a -> raise \"yarn command failure exit code: #{a}\"\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/Readme.md",
    "content": "# NeTEx support\n\n- How-Tos\n  - How to publish the latest ruleset\n  - How to list published rulesets\n- Extraction of stop places from a streamed NeTEx\n- Validation of French profile via enRoute Chouette Valid\n  - Ruleset generation\n  - Client for enRoute Chouette Valid rulesets management API\n  - French profile implementation\n\n## How-Tos\n\n### How to publish the latest ruleset\n\n_Prerequisite: the API token is set by the `ENROUTE_RULESETS_TOKEN` env var._\n\nYou can publish the latest ruleset to enRoute with the following command:\n\n```bash\nmix run scripts/chouette_valid_rulesets.exs publish-ruleset\n```\n\nThis command will publish the latest ruleset defined in `Transport.NeTEx.FrenchProfile`\nto the enRoute API. It is an upsert operation, the slug is reused if necessary.\n\nThe ruleset is an adjonction of the rules defined in `Transport.NeTEx.FrenchProfile`\nwhich are specific to the French profile (as the name suggests) and the \"base rules\"\nedited by enRoute. The PAN is only responsible for the french profile rules.\n\nLater on we could envision adding rules not specific to the French profile, for\ninstance for data quality. It is not implemented yet nor is it planned.\n\n### How to list published rulesets\n\n_Prerequisite: the API token is set by the `ENROUTE_RULESETS_TOKEN` env var._\n\nYou can check what revisions are available with the following command:\n\n```bash\nmix run scripts/chouette_valid_rulesets.exs list-rulesets\n```\n\n## Extraction of stop places from a streamed NeTEx\n\nA modest collection of helpers to extract stop places from a NeTEx archive. It\nis notably useful to build the \"Registre d'arrêts\".\n\n## Validation of French profile via enRoute Chouette Valid\n\nWe depend on enRoute Chouette Valid for NeTEx validation. Chouette Valid is a\nSaaS.\n\nIt is extensible: one can define its own set of validation rules. This section\nis therefore responsible of translating a subset of the rules from the [French\nprofile] to the rules model of Chouette Valid, and synchronizing it via\ntheir API.\n\nSee <https://enroute.atlassian.net/wiki/spaces/PUBLIC/pages/2761687047/Sprint+123#Manage-rulesets-by-API>.\n\n[French profile]: https://normes.transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/netex/archive_parser.ex",
    "content": "defmodule Transport.NeTEx.ArchiveParser do\n  @moduledoc \"\"\"\n  A first implementation of on-the-fly NeTEx (zip) archive traversal.\n\n  The current implementation is specialized into extracting `StopPlace`s, but the code\n  will be generalized for other uses in a later PR.\n\n  Also provides conversion to GeoJSON via `to_geojson/1` and `to_geojson/2`.\n  \"\"\"\n  require Logger\n\n  @doc \"\"\"\n  Converts a NeTEx ZIP archive to a GeoJSON FeatureCollection.\n\n  This is a convenience facade for `Transport.NeTEx.ToGeoJSON.convert_archive/2`.\n\n  ## Options\n\n  - `:types` - List of element types to extract. Defaults to all types.\n    Available types: `:stop_places`, `:quays`, `:service_links`\n\n  ## Examples\n\n      {:ok, geojson} = Transport.NeTEx.ArchiveParser.to_geojson(\"/path/to/netex.zip\")\n\n      {:ok, geojson} = Transport.NeTEx.ArchiveParser.to_geojson(path, types: [:stop_places, :quays])\n\n  \"\"\"\n  @spec to_geojson(String.t(), keyword()) :: {:ok, map()} | {:error, String.t()}\n  defdelegate to_geojson(zip_path, opts \\\\ []), to: Transport.NeTEx.ToGeoJSON, as: :convert_archive\n\n  @doc \"\"\"\n  Inside a zip archive opened with `Unzip`, parse a given file\n  (pointed by `file_name`) and extract the stop places. The file\n  is read in streaming fashion to save memory, but the stop places\n  are stacked in a list (all in memory at once).\n  \"\"\"\n  def read_stop_places(%Unzip{} = unzip, file_name) do\n    parse_stream(unzip, file_name, Transport.NeTEx.StopPlacesStreamingParser)\n  end\n\n  @doc \"\"\"\n  Like read_stop_places/2 but raises on errors.\n  \"\"\"\n  def read_stop_places!(%Unzip{} = unzip, file_name) do\n    parse_stream!(unzip, file_name, Transport.NeTEx.StopPlacesStreamingParser)\n  end\n\n  @doc \"\"\"\n  A higher level method, recommended for general use. Given a NeTEx zip archive stored\n  on disk, return the list of `StopPlace`s per file contained in the archive.\n\n  See tests for actual output. Will be refactored soonish.\n  \"\"\"\n  def read_all_stop_places(zip_file_name) do\n    read_all(zip_file_name, &read_stop_places/2)\n  end\n\n  @doc \"\"\"\n  Like read_all_stop_places/1 but raises on error.\n  \"\"\"\n  def read_all_stop_places!(zip_file_name) do\n    read_all(zip_file_name, &read_stop_places!/2)\n  end\n\n  @doc \"\"\"\n  Inside a zip archive opened with `Unzip`, parse a given file\n  (pointed by `file_name`) and extract the service calendars. The file\n  is read in streaming fashion to save memory, but the stop places\n  are stacked in a list (all in memory at once).\n  \"\"\"\n  def read_service_calendars(%Unzip{} = unzip, file_name) do\n    parse_stream(unzip, file_name, Transport.NeTEx.ServiceCalendarsStreamingParser)\n  end\n\n  @doc \"\"\"\n  Like read_service_calendars/2 but raises on errors.\n  \"\"\"\n  def read_service_calendars!(%Unzip{} = unzip, file_name) do\n    parse_stream!(unzip, file_name, Transport.NeTEx.ServiceCalendarsStreamingParser)\n  end\n\n  def read_all_service_calendars(zip_file_name) do\n    read_all(zip_file_name, &read_service_calendars/2)\n  end\n\n  def read_all_service_calendars!(zip_file_name) do\n    read_all(zip_file_name, &read_service_calendars!/2)\n  end\n\n  @doc \"\"\"\n  Inside a zip archive opened with `Unzip`, parse a given file (pointed by\n  `file_name`) and extract the calendars. The file is read in streaming fashion\n  to save memory, but the stop places are stacked in a list (all in memory at\n  once).\n  \"\"\"\n  def read_calendars(%Unzip{} = unzip, file_name) do\n    parse_stream(unzip, file_name, Transport.NeTEx.CalendarsStreamingParser)\n  end\n\n  @doc \"\"\"\n  Like read_calendars/2 but raises on errors.\n  \"\"\"\n  def read_calendars!(%Unzip{} = unzip, file_name) do\n    parse_stream!(unzip, file_name, Transport.NeTEx.CalendarsStreamingParser)\n  end\n\n  def read_all_calendars(zip_file_name) do\n    read_all(zip_file_name, &read_calendars/2)\n  end\n\n  def read_all_calendars!(zip_file_name) do\n    read_all(zip_file_name, &read_calendars!/2)\n  end\n\n  @doc \"\"\"\n  Inside a zip archive opened with `Unzip`, parse a given file (pointed by\n  `file_name`) and extract the type of frames. The file is read in streaming\n  fashion to save memory, but the stop places are stacked in a list (all in\n  memory at once).\n  \"\"\"\n  def read_types_of_frames(%Unzip{} = unzip, file_name) do\n    parse_stream(unzip, file_name, Transport.NeTEx.TypesOfFrameStreamingParser)\n  end\n\n  @doc \"\"\"\n  Like read_types_of_frames/2 but raises on errors.\n  \"\"\"\n  def read_types_of_frames!(%Unzip{} = unzip, file_name) do\n    parse_stream!(unzip, file_name, Transport.NeTEx.TypesOfFrameStreamingParser)\n  end\n\n  def read_all_types_of_frames(zip_file_name) do\n    read_all(zip_file_name, &read_types_of_frames/2)\n  end\n\n  def read_all_types_of_frames!(zip_file_name) do\n    read_all(zip_file_name, &read_types_of_frames!/2)\n  end\n\n  @doc \"\"\"\n  Inside a zip archive opened with `Unzip`, parse a given file (pointed by\n  `file_name`) and extract various descriptive information. The file is read in\n  streaming fashion to save memory, but the stop places are stacked in a list\n  (all in memory at once).\n  \"\"\"\n  def read_description(%Unzip{} = unzip, file_name) do\n    parse_stream(unzip, file_name, Transport.NeTEx.DescriptionParser)\n  end\n\n  @doc \"\"\"\n  Like read_description/2 but raises on errors.\n  \"\"\"\n  def read_description!(%Unzip{} = unzip, file_name) do\n    parse_stream!(unzip, file_name, Transport.NeTEx.DescriptionParser)\n  end\n\n  def read_all_description(zip_file_name) do\n    read_all(zip_file_name, &read_description/2)\n  end\n\n  def read_all_description!(zip_file_name) do\n    read_all(zip_file_name, &read_description!/2)\n  end\n\n  defp parse_stream(unzip, file_name, parser) do\n    extension = Path.extname(file_name)\n\n    cond do\n      # Entry names ending with a slash `/` are directories. Skip them.\n      # https://github.com/akash-akya/unzip/blob/689a1ca7a134ab2aeb79c8c4f8492d61fa3e09a0/lib/unzip.ex#L69\n      String.ends_with?(file_name, \"/\") ->\n        {:ok, parser.initial_state() |> parser.unwrap_result()}\n\n      extension |> String.downcase() == \".zip\" ->\n        {:error, \"Insupported zip inside zip for file #{file_name}\"}\n\n      extension |> String.downcase() != \".xml\" ->\n        {:error, \"Insupported file extension (#{extension}) for file #{file_name}\"}\n\n      true ->\n        parsing_result =\n          unzip\n          |> Unzip.file_stream!(file_name)\n          |> Stream.map(&IO.iodata_to_binary(&1))\n          |> Saxy.parse_stream(parser, parser.initial_state())\n\n        case parsing_result do\n          {:ok, state} -> {:ok, parser.unwrap_result(state)}\n          {:error, exception} -> {:error, Exception.message(exception)}\n          {:halt, _state, _rest} -> {:error, \"SAX parsing interrupted unexpectedly.\"}\n        end\n    end\n  end\n\n  defp parse_stream!(unzip, file_name, parser) do\n    case parse_stream(unzip, file_name, parser) do\n      {:ok, result} -> result\n      {:error, message} -> raise message\n    end\n  end\n\n  defp read_all(zip_file_name, reader) do\n    with_zip_file_handle(\n      zip_file_name,\n      fn unzip ->\n        unzip\n        |> Unzip.list_entries()\n        |> Enum.map(fn metadata ->\n          Logger.debug(\"Processing #{metadata.file_name}\")\n\n          {\n            metadata.file_name,\n            reader.(unzip, metadata.file_name)\n          }\n        end)\n      end,\n      fn _error -> [] end\n    )\n  end\n\n  def with_zip_file_handle(zip_file_name, cb, on_error) do\n    zip_file = Unzip.LocalFile.open(zip_file_name)\n\n    try do\n      case Unzip.new(zip_file) do\n        {:ok, unzip} ->\n          cb.(unzip)\n\n        {:error, message} ->\n          Logger.error(\"Error while reading #{zip_file_name}: #{message}\")\n          on_error.(message)\n      end\n    after\n      Unzip.LocalFile.close(zip_file)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/calendars_streaming_parser.ex",
    "content": "defmodule Transport.NeTEx.CalendarsStreamingParser do\n  @moduledoc \"\"\"\n  Saxy streaming parser to extract service calendars from a given NeTEx file.\n  \"\"\"\n\n  @behaviour Saxy.Handler\n\n  import Transport.NeTEx.SaxyHelpers\n\n  def initial_state do\n    capturing_initial_state(%{\n      calendars: [],\n      operating_periods: []\n    })\n  end\n\n  def unwrap_result(final_state), do: final_state.calendars ++ final_state.operating_periods\n\n  def handle_event(:start_element, {element, attributes}, state) do\n    state =\n      case {element, state[:capture]} do\n        {\"GeneralFrame\", false} ->\n          id = get_attribute!(attributes, \"id\")\n          state |> reset_tree() |> start_capture() |> init_calendar(%{id: id})\n\n        {\"UicOperatingPeriod\", true} ->\n          id = get_attribute!(attributes, \"id\")\n          state |> init_operating_period(%{id: id})\n\n        {_, _} ->\n          state\n      end\n\n    {:ok, state |> push(element)}\n  end\n\n  def handle_event(:end_element, \"GeneralFrame\", state) do\n    {:ok, state |> register_calendar() |> reset_tree() |> stop_capture()}\n  end\n\n  def handle_event(:end_element, \"UicOperatingPeriod\", state) when state.capture do\n    {:ok, state |> register_operating_period() |> pop()}\n  end\n\n  def handle_event(:end_element, _, state) do\n    {:ok, pop(state)}\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.capture and state.current_tree == [\"GeneralFrame\", \"ValidBetween\", \"FromDate\"] do\n    update_calendar_date(state, :start_date, chars)\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.capture and state.current_tree == [\"GeneralFrame\", \"ValidBetween\", \"ToDate\"] do\n    update_calendar_date(state, :end_date, chars)\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.capture and state.current_tree == [\"GeneralFrame\", \"members\", \"UicOperatingPeriod\", \"FromDate\"] do\n    update_operating_period_date(state, :start_date, chars)\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.capture and state.current_tree == [\"GeneralFrame\", \"members\", \"UicOperatingPeriod\", \"ToDate\"] do\n    update_operating_period_date(state, :end_date, chars)\n  end\n\n  def handle_event(_, _, state), do: {:ok, state}\n\n  defp init_calendar(state, attrs \\\\ %{}), do: Map.put(state, :current_calendar, attrs)\n\n  defp update_calendar(state, field, value) do\n    update_in(state, [:current_calendar], &(&1 |> Map.put(field, value)))\n  end\n\n  defp init_operating_period(state, attrs \\\\ %{}), do: Map.put(state, :current_operating_period, attrs)\n\n  defp update_operating_period(state, field, value) do\n    update_in(state, [:current_operating_period], &(&1 |> Map.put(field, value)))\n  end\n\n  defp register_calendar(state) do\n    current = state.current_calendar\n\n    if valid_calendar?(current) do\n      state\n      |> init_calendar()\n      |> update_in([:calendars], &(&1 ++ [current]))\n    else\n      init_calendar(state)\n    end\n  end\n\n  defp valid_calendar?(%{id: id, start_date: %Date{}, end_date: %Date{}}) do\n    is_binary(id)\n  end\n\n  defp valid_calendar?(_), do: false\n\n  defp update_calendar_date(state, field, chars) do\n    parse_date(state, chars, &update_calendar(state, field, &1))\n  end\n\n  defp register_operating_period(state) do\n    current = state.current_operating_period\n\n    if valid_operating_period?(current) do\n      state\n      |> init_operating_period()\n      |> update_in([:operating_periods], &(&1 ++ [current]))\n    else\n      init_operating_period(state)\n    end\n  end\n\n  defp valid_operating_period?(%{id: id, start_date: %Date{}, end_date: %Date{}}) do\n    is_binary(id)\n  end\n\n  defp valid_operating_period?(_), do: false\n\n  defp update_operating_period_date(state, field, chars) do\n    parse_date(state, chars, &update_operating_period(state, field, &1))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/chouette_valid_ruleset_generator.ex",
    "content": "defmodule Transport.NeTEx.ChouetteValidRulesetGenerator do\n  @moduledoc \"\"\"\n  Utilities to define ruleset for Chouette Valid API.\n\n  Ruleset are first defined in an abstract manner and later encoded to the\n  relevant syntax. Having an intermediary abstract representation provides\n  following benefits:\n  - intent is a bit more clear (the Chouette Valid encoding is too close to the XML bits)\n  - it can keep track of source documentation for each rule to help maintain a user friendly interface\n  \"\"\"\n\n  use Gettext, backend: TransportWeb.Gettext\n\n  def mandatory_attributes(parent, names, documentation_title, documentation_url) do\n    %{\n      type: :mandatory_attributes,\n      parent: parent,\n      names: names,\n      documentation_link: %{title: documentation_title, url: documentation_url}\n    }\n  end\n\n  def encode_ruleset(definition, device \\\\ :stdio) do\n    json =\n      definition\n      |> Enum.flat_map(&process_sub_profile/1)\n      |> JSON.encode!()\n\n    IO.puts(device, json)\n  end\n\n  def process_sub_profile(%{sub_profile: sub_profile, ruleset: ruleset}) do\n    Enum.map(ruleset, &process_rule_context(sub_profile, &1))\n  end\n\n  def document_ruleset(ruleset, device \\\\ :stdio, markdown_options \\\\ []) do\n    Enum.each(ruleset, &document_sub_profile(&1, device, markdown_options))\n  end\n\n  def document_sub_profile(%{title: title, ruleset: ruleset}, device, options) do\n    header_level = Keyword.get(options, :header_level, 1)\n\n    if not Enum.empty?(ruleset) do\n      IO.puts(device, header(header_level, dgettext(\"netex-documentation\", \"Sub-profile “%{title}”\", title: title)))\n      IO.puts(device, \"\")\n\n      ruleset\n      |> Enum.each(fn rule_context ->\n        IO.puts(device, dgettext(\"netex-documentation\", \"Section [%{title}](%{url}):\", rule_context.documentation_link))\n        IO.puts(device, \"\")\n\n        for name <- rule_context.names do\n          IO.puts(\n            device,\n            \"- #{dgettext(\"netex-documentation\", \"The element `%{name}` is required.\", name: \"#{rule_context.parent}/#{name}\")}\"\n          )\n        end\n\n        IO.puts(device, \"\")\n      end)\n    end\n  end\n\n  defp header(level, text) when level in 1..6 do\n    symbol = \"######\" |> String.slice(0, level)\n\n    \"#{symbol} #{text}\"\n  end\n\n  defp header(_level, text), do: text\n\n  def process_rule_context(sub_profile, %{type: :mandatory_attributes, parent: parent, names: names}) do\n    %{\n      rule_context: \"resource/kind_of\",\n      resource_class: parent,\n      rules: Enum.map(names, fn name -> process_mandatory_attribute_rule(sub_profile, parent, name) end)\n    }\n  end\n\n  def process_mandatory_attribute_rule(sub_profile, parent, name) do\n    %{\n      rule: \"attribute/mandatory\",\n      name: snake_case(name),\n      criticity: \"error\",\n      code: \"pan:french_profile:#{sub_profile}:cardinalities:#{parent}:#{name}\",\n      message: \"#{parent}/#{name} is mandatory\"\n    }\n  end\n\n  @doc \"\"\"\n  Convert to snake case as it's what's expected by Chouette Valid for some reason.\n\n  iex> snake_case(\"Name\")\n  \"name\"\n\n  iex> snake_case(\"LongName\")\n  \"long_name\"\n\n  iex> snake_case(\"shortName\")\n  \"short_name\"\n  \"\"\"\n  def snake_case(string) when is_binary(string) do\n    IO.iodata_to_binary(snake_case_ascii(string, true))\n  end\n\n  def snake_case(string), do: string\n\n  defp snake_case_ascii(<<char, rest::bits>>, true) when char >= ?A and char <= ?Z do\n    [char + 32 | snake_case_ascii(rest, false)]\n  end\n\n  defp snake_case_ascii(<<char, rest::bits>>, false) when char >= ?A and char <= ?Z do\n    [?_, char + 32 | snake_case_ascii(rest, false)]\n  end\n\n  defp snake_case_ascii(<<char, rest::bits>>, _), do: [char | snake_case_ascii(rest, false)]\n  defp snake_case_ascii(<<>>, _), do: []\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/description_parser.ex",
    "content": "defmodule Transport.NeTEx.DescriptionParser do\n  @moduledoc \"\"\"\n  Extract network informations.\n  \"\"\"\n\n  @behaviour Saxy.Handler\n\n  import Transport.NeTEx.SaxyHelpers\n\n  @empty %{\n    networks: [],\n    transport_modes: [],\n    lines: 0,\n    quays: 0,\n    stop_places: 0,\n    features: %{\n      networks: false,\n      stops: false,\n      timetables: false,\n      fares: false,\n      parkings: false,\n      accessibility: false\n    }\n  }\n\n  def initial_state do\n    capturing_initial_state(@empty)\n  end\n\n  def unwrap_result(final_state),\n    do: final_state |> Map.take(Map.keys(@empty))\n\n  def handle_event(:start_element, {element, _attributes}, state)\n      when element in [\"Network\", \"Line\"] do\n    {:ok, state |> push(element) |> start_capture()}\n  end\n\n  def handle_event(:start_element, {element, _attributes}, state)\n      when state.capture do\n    {:ok, state |> push(element)}\n  end\n\n  def handle_event(:end_element, \"Network\" = element, state) do\n    {:ok, state |> stop_capture() |> end_element(element)}\n  end\n\n  def handle_event(:end_element, \"Line\" = element, state) do\n    {:ok, state |> increment(:lines) |> stop_capture() |> end_element(element)}\n  end\n\n  def handle_event(:end_element, \"Quay\" = element, state) do\n    {:ok, state |> increment(:quays) |> end_element(element)}\n  end\n\n  def handle_event(:end_element, \"StopPlace\" = element, state) do\n    {:ok, state |> increment(:stop_places) |> end_element(element)}\n  end\n\n  def handle_event(:end_element, element, state) do\n    {:ok, state |> end_element(element)}\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.capture and state.current_tree == [\"Network\", \"Name\"] do\n    {:ok, state |> register_network(chars)}\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.capture and state.current_tree == [\"Line\", \"TransportMode\"] do\n    {:ok, state |> register_transport_mode(chars)}\n  end\n\n  def handle_event(_, _, state), do: {:ok, state}\n\n  defp end_element(state, element) do\n    state |> feature_detection(element) |> pop()\n  end\n\n  defp register_network(state, network), do: update_in(state, [:networks], &(&1 ++ [network]))\n\n  defp register_transport_mode(state, transport_mode),\n    do: update_in(state, [:transport_modes], &(&1 ++ [transport_mode]))\n\n  defp increment(state, key), do: update_in(state, [key], &(&1 + 1))\n\n  @elements_per_feature %{\n    :networks => [\n      \"Network\",\n      \"GroupOfLines\",\n      \"RoutingConstraintZone\",\n      \"Line\",\n      \"Direction\",\n      \"Route\",\n      \"RoutePoint\",\n      \"PointOnRoute\",\n      \"FlexibleLine\",\n      \"FlexibleRoute\",\n      \"DestinationDisplay\",\n      \"FlexiblePointProperties\",\n      \"ServiceJourneyPattern\",\n      \"PointInJourneyPattern\",\n      \"ScheduledStopPoint\",\n      \"TimingPoint\",\n      \"TransferRestriction\",\n      \"PassengerStopAssignment\",\n      \"FlexibleStopAssignment\",\n      \"TrainStopAssignment\",\n      \"SchematicMap\"\n    ],\n    :stops => [\n      \"StopPlace\",\n      \"FlexibleStopPlace\",\n      \"Quay\",\n      \"TopographicPlace\",\n      \"StopPlaceEntrance\",\n      \"Entrance\",\n      \"AccessSpace\"\n    ],\n    :timetables => [\n      \"ServiceJourney\",\n      \"ServiceLink\",\n      \"FlexibleServiceProperties\",\n      \"TemplateServiceJourney\",\n      \"HeadwayJourneyGroup\",\n      \"RhythmicalJourneyGroup\",\n      \"CoupledJourney\",\n      \"JourneyPartCouple\",\n      \"JourneyPart\",\n      \"Train\",\n      \"TrainComponent\",\n      \"CompoundTrain\",\n      \"TrainNumber\",\n      \"TrainComponentLabelAssignment\"\n    ],\n    :fares => [\n      \"FareZone\",\n      \"FareStructureElement\",\n      \"UserProfile\",\n      \"DistributionChannel\",\n      \"PreassignedFareProduct\",\n      \"SaleDiscountRight\",\n      \"UsageDiscountRight\",\n      \"AmountOfPriceUnitProduct\",\n      \"SalesOfferPackageElement\",\n      \"SalesOfferPackage\",\n      \"TypeOfTravelDocument\",\n      \"TypeOfPricingRule\",\n      \"DiscountingRule\",\n      \"FareTable\",\n      \"DistanceMatrixElement\"\n    ],\n    :parkings => [\n      \"Parking\",\n      \"ParkingBay\"\n    ],\n    :accessibility => [\n      \"SitePathLink\",\n      \"PathLink\",\n      \"PathJunction\",\n      \"NavigationPath\",\n      \"FacilitySet\",\n      \"PassengerEquipment\",\n      \"PassengerSafetyEquipment\",\n      \"SanitaryEquipment\",\n      \"RubbishDisposalEquipment\",\n      \"LuggageLockerEquipment\",\n      \"TrolleyStandEquipment\",\n      \"WaitingEquipment\",\n      \"SeatingEquipment\",\n      \"ShelterEquipment\",\n      \"WaitingRoomEquipment\",\n      \"AccessEquipment\",\n      \"CrossingEquipment\",\n      \"EntranceEquipment\",\n      \"QueueingEquipment\",\n      \"RampEquipment\",\n      \"PlaceLighting\",\n      \"RoughSurface\",\n      \"StaircaseEquipment\",\n      \"StairEnd\",\n      \"StairFlight\",\n      \"EscalatorEquipment\",\n      \"TravelatorEquipment\",\n      \"LiftEquipment\",\n      \"SignEquipment\",\n      \"HeadingSign\",\n      \"GeneralSign\",\n      \"PlaceSign\",\n      \"TicketValidatorEquipment\",\n      \"TicketingEquipment\",\n      \"LocalService\",\n      \"AssistanceService\",\n      \"LuggageService\",\n      \"CustomerService\",\n      \"LostPropertyService\",\n      \"MeetingPoint\",\n      \"TicketingService\",\n      \"HireService\",\n      \"AccessibilityAssessment\",\n      \"WheelchairAccess\",\n      \"StepFreeAccess\",\n      \"VisualSignsAvailable\",\n      \"AudibleSignalsAvailable\",\n      \"EscalatorFreeAccess\",\n      \"LiftFreeAccess\",\n      \"TactileGuidanceAvailable\"\n    ]\n  }\n\n  defp feature_detection(state, element_name) do\n    @elements_per_feature\n    |> Enum.reduce(state, fn {feature, element_names}, state ->\n      if element_names |> Enum.member?(element_name) do\n        state |> has(feature)\n      else\n        state\n      end\n    end)\n  end\n\n  defp has(state, feature), do: update_in(state, [:features, feature], fn _ -> true end)\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/enroute-starter-kit.json",
    "content": "[\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_classes\": [\n      \"StopPlace\",\n      \"Line\",\n      \"Operator\",\n      \"Network\"\n    ],\n    \"rules\": [\n      {\n        \"rule\": \"attribute/mandatory\",\n        \"name\": \"name\",\n        \"criticity\": \"error\",\n        \"code\": \"name-mandatory\",\n        \"message\": \"A StopPlace, Line, Operator, Network, GroupOfLines has a Name\"\n      }\n    ]\n  },\n  {\n    \"rule\": \"attribute/match\",\n    \"name\": \"short_name\",\n    \"value\": \"/^.{0,12}$/\",\n    \"criticity\": \"error\",\n    \"code\": \"shortname-length\",\n    \"message\": \"A ShortName have 12 or less than characters\"\n  },\n  {\n    \"rule\": \"attribute/match\",\n    \"name\": \"public_code\",\n    \"value\": \"/^.{0,12}$/\",\n    \"criticity\": \"error\",\n    \"code\": \"public-code-length\",\n    \"message\": \"A Public Code have 12 or less than characters\"\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_classes\": [\n      \"Quay\",\n      \"StopPlace\",\n      \"StopPlaceEntrance\"\n    ],\n    \"rules\": [\n      {\n        \"rule\": \"attribute/mandatory\",\n        \"name\": \"longitude\",\n        \"criticity\": \"error\",\n        \"code\": \"longitude-mandatory\",\n        \"message\": \"Quay, StopPlace and StopPlaceEntrance have a Longitude\"\n      },\n      {\n        \"rule\": \"attribute/mandatory\",\n        \"name\": \"latitude\",\n        \"criticity\": \"error\",\n        \"code\": \"latitude-mandatory\",\n        \"message\": \"Quay, StopPlace and StopPlaceEntrance have a Latitude\"\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"Line\",\n    \"rules\": [\n      {\n        \"rule\": \"attribute/mandatory\",\n        \"name\": \"transport_mode\",\n        \"criticity\": \"error\",\n        \"code\": \"line-transport-mode-mandatory\",\n        \"message\": \"A Line has a Transport Mode\"\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"Line\",\n    \"rules\": [\n      {\n        \"rule\": \"attribute/mandatory\",\n        \"name\": \"presentation\",\n        \"criticity\": \"warning\",\n        \"code\": \"line-presentation-mandatory\",\n        \"message\": \"A Line has a Presentation\"\n      },\n      {\n        \"rule_context\": \"reduce/element\",\n        \"element\": \"presentation\",\n        \"rules\": [\n          {\n            \"rule\": \"attribute/mandatory\",\n            \"name\": \"colour\",\n            \"criticity\": \"warning\",\n            \"code\": \"line-presentation-colour-mandatory\",\n            \"message\": \"A Line has a Presentation color\"\n          }\n        ]\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"Line\",\n    \"rules\": [\n      {\n        \"rule\": \"attribute/blank\",\n        \"name\": \"routes\",\n        \"code\": \"line-no-inner-routes\",\n        \"message\": \"A Line doesn’t define its own routes\"\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"Route\",\n    \"rules\": [\n      {\n        \"rule\": \"attribute/mandatory\",\n        \"name\": \"line_ref\",\n        \"code\": \"route-line-ref-mandatory\",\n        \"message\": \"A Route has a LineRef\"\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"JourneyPattern\",\n    \"rules\": [\n      {\n        \"rule\": \"attribute/mandatory\",\n        \"name\": \"route_ref\",\n        \"code\": \"journey-pattern-route-ref-mandatory\",\n        \"message\": \"A ServiceJourneyPattern has a RouteRef\"\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"ServiceJourney\",\n    \"rules\": [\n      {\n        \"rule\": \"attribute/mandatory\",\n        \"name\": \"journey_pattern_ref\",\n        \"code\": \"service-journey-journey-pattern-ref-mandatory\",\n        \"message\": \"A ServiceJourney has a JourneyPatternRef\"\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"JourneyPattern\",\n    \"rules\": [\n      {\n        \"rule\": \"collection/count\",\n        \"collection\": \"points_in_sequence\",\n        \"minimum_count\": 2,\n        \"code\": \"service-journey-pattern-many-points-in-sequence\",\n        \"message\": \"A (Service)JourneyPattern has two or more pointsInSequence\"\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"ServiceJourney\",\n    \"rules\": [\n      {\n        \"rule\": \"collection/count\",\n        \"collection\": \"day_types\",\n        \"minimum_count\": 1,\n        \"code\": \"service-journey-day-types-mandatory\",\n        \"message\": \"A ServiceJourney has one or more dayTypes\"\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"ServiceJourney\",\n    \"rules\": [\n      {\n        \"rule\": \"collection/count\",\n        \"collection\": \"passing_times\",\n        \"minimum_count\": 2,\n        \"code\": \"service-journey-passing-times-mandatory\",\n        \"message\": \"A ServiceJourney has two or more passingTimes\"\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"DestinationDisplay\",\n    \"rules\": [\n      {\n        \"rule\": \"attribute/mandatory\",\n        \"name\": \"front_text\",\n        \"code\": \"destination-display-front-text\",\n        \"message\": \"A Destination Display have a FrontText attribute\"\n      }\n    ]\n  },\n  {\n    \"rule_context\": \"resource/kind_of\",\n    \"resource_class\": \"PassengerStopAssignment\",\n    \"rules\": [\n      {\n        \"rule\": \"attribute/mandatory\",\n        \"name\": \"scheduled_stop_point_ref\",\n        \"code\": \"passenger-stop-assignment-scheduled-stop-point-ref\",\n        \"message\": \"A PassengerStopAssignment has a ScheduledStopPointRef\"\n      }\n    ]\n  },\n  {\n    \"rule\": \"attribute/match\",\n    \"name\": \"id\",\n    \"value\": \"/^.{0,255}$/\",\n    \"criticity\": \"warning\",\n    \"code\": \"id-length\",\n    \"message\": \"Any NeTEx id uses less than 256 characters\"\n  },\n  {\n    \"rule\": \"reference/exist\",\n    \"referenced_class\": \"ScheduledStopPoint\",\n    \"code\": \"scheduled-stop-point-refs-exist\",\n    \"message\": \"Referenced ScheduledStopPoints are present\"\n  },\n  {\n    \"rule\": \"reference/exist\",\n    \"referenced_class\": \"Operator\",\n    \"code\": \"operator-refs-exist\",\n    \"message\": \"Referenced Operators are present\"\n  },\n  {\n    \"rule\": \"reference/exist\",\n    \"referenced_class\": \"DayType\",\n    \"code\": \"day-type-refs-exist\",\n    \"message\": \"Referenced DayTypes are present\"\n  },\n  {\n    \"rule\": \"reference/exist\",\n    \"referenced_class\": \"Route\",\n    \"code\": \"route-refs-exist\",\n    \"message\": \"Referenced Routes are present\"\n  },\n  {\n    \"rule\": \"reference/exist\",\n    \"referenced_class\": \"JourneyPattern\",\n    \"code\": \"journey-pattern-refs-exist\",\n    \"message\": \"Referenced (Service)JourneyPattern are present\"\n  },\n  {\n    \"rule\": \"reference/exist\",\n    \"referenced_class\": \"DestinationDisplay\",\n    \"code\": \"destination-display-refs-exist\",\n    \"message\": \"Referenced DestinationDisplays are present\"\n  },\n  {\n    \"rule\": \"reference/exist\",\n    \"referenced_class\": \"Direction\",\n    \"code\": \"direction-refs-exist\",\n    \"message\": \"Referenced Directions are present\"\n  },\n  {\n    \"rule\": \"reference/exist\",\n    \"referenced_class\": \"RoutePoint\",\n    \"code\": \"route-point-refs-exist\",\n    \"message\": \"Referenced RoutePoints are present\"\n  },\n  {\n    \"rule\": \"service_journey/passing_times_chronology\",\n    \"code\": \"service-journey-passing-times-chronology\",\n    \"message\": \"TimedPassingTimes use chronological passing times\"\n  }\n]\n"
  },
  {
    "path": "apps/transport/lib/netex/french_profile/v1.ex",
    "content": "defmodule Transport.NeTEx.FrenchProfile.V1 do\n  @moduledoc \"\"\"\n  Definition of the validation rules for the French NeTEx profile.\n\n  This definition is still work in progress. It's versioned to track progress\n  and adapt any relevant user interface.\n\n  According to <https://bitbucket.org/enroute-mobi/netex/src/8099b6ebb4327f32cbc1f266099d966fcafbb761/lib/netex/source.rb#lines-219>,\n  only a subset of the NeTEx specification can be validated by enRoute.\n  \"\"\"\n\n  import Transport.NeTEx.ChouetteValidRulesetGenerator\n\n  def slug, do: \"pan:french_profile:1\"\n\n  def ruleset(device \\\\ :stdio) do\n    definition() |> encode_ruleset(device)\n  end\n\n  def markdown(device \\\\ :stdio, markdown_options \\\\ []) do\n    definition() |> document_ruleset(device, markdown_options)\n  end\n\n  defp definition do\n    [elements_communs(), arrets(), parkings(), description_reseaux(), horaires(), accessibilite(), tarifs()]\n  end\n\n  def elements_communs do\n    %{\n      sub_profile: \"commons\",\n      title: \"Éléments communs\",\n      ruleset: [\n        mandatory_attributes(\n          \"GroupOfEntity\",\n          [\"Name\"],\n          \"6.3 Attributs de GroupOfEntities\",\n          \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#attributs-de-groupofentities\"\n        ),\n        mandatory_attributes(\n          \"Point\",\n          [\"Location\"],\n          \"6.5 Attributs de Point\",\n          \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#attributs-de-point\"\n        ),\n        mandatory_attributes(\n          \"Organisation\",\n          [\"OrganisationType\"],\n          \"6.18 Institutions\",\n          \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#institutions\"\n        )\n\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"ServiceRequest\",\n        #   [\"MessageIdentifier\"],\n        #   \"8.2.2 Requête\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#requ%C3%AAte\"\n        # ),\n\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"ServiceDelivery\",\n        #   [\"RequestMessageRef\", \"Status\"],\n        #   \"8.2.3 Réponse\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#r%C3%A9ponse\"\n        # ),\n\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"DataObjectDelivery\",\n        #   [\"RequestMessageRef\", \"Status\"],\n        #   \"8.2.3 Réponse\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#r%C3%A9ponse\"\n        # )\n      ]\n    }\n  end\n\n  def arrets do\n    %{\n      sub_profile: \"stops\",\n      title: \"Arrêts\",\n      ruleset: [\n        mandatory_attributes(\n          \"SiteComponent\",\n          [\"SiteRef\"],\n          \"7.4.1 Attributs SiteComponent\",\n          \"https://normes.transport.data.gouv.fr/normes/netex/arrets/#attributs-sitecomponent\"\n        )\n      ]\n    }\n  end\n\n  def parkings do\n    %{\n      sub_profile: \"parkings\",\n      title: \"Parkings\",\n      ruleset: [\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"Parking\",\n        #   [\"ParkingType\", \"ParkingLayout\", \"TotalCapacity\"],\n        #   \"6.2.1 Parkings\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/parkings/#parking\"\n        # ),\n\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"ParkingComponent\",\n        #   [\"MaximumHeight\"],\n        #   \"6.2.2 Composants des Parkings\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/parkings/#composants-des-parkings\"\n        # )\n      ]\n    }\n  end\n\n  def description_reseaux do\n    %{\n      sub_profile: \"networks\",\n      title: \"Description des réseaux\",\n      ruleset: [\n        mandatory_attributes(\n          \"DestinationDisplay\",\n          [\"FrontText\"],\n          \"6.7 Les affichages de destination\",\n          \"https://normes.transport.data.gouv.fr/normes/netex/reseaux/#les-affichages-de-destination\"\n        )\n\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"DestinationDisplayVariant\",\n        #   [\"FrontText\"],\n        #   \"6.7.1 Les variantes d’affichages de destination\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/reseaux/#les-variantes-daffichages-de-destination\"\n        # ),\n\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"TransferDuration\",\n        #   [\"DefaultDuration\"],\n        #   \"6.10.0.4 Transferts\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/reseaux/#transferts\"\n        # )\n      ]\n    }\n  end\n\n  def horaires do\n    %{\n      sub_profile: \"timetables\",\n      title: \"Horaires\",\n      ruleset: [\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"InterchangeTimesGroup\",\n        #   [\"StandardTransferTime\"],\n        #   \"6.8 Les correspondances entre course\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/horaires/#les-correspondances-entre-course\"\n        # )\n      ]\n    }\n  end\n\n  def accessibilite do\n    %{\n      sub_profile: \"accessibility\",\n      title: \"Accessibilité\",\n      ruleset: [\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"SitePathLink\",\n        #   [\"Distance\", \"LineString\"],\n        #   \"6.6 Les Cheminements\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/accessibilite/#les-cheminements\"\n        # )\n      ]\n    }\n  end\n\n  def tarifs do\n    %{\n      sub_profile: \"fares\",\n      title: \"Tarifs\",\n      ruleset: [\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"TimeInterval\",\n        #   [\"StartTime\", \"EndTime\"],\n        #   \"6.4.4.1 Intervalle de temps (TimeInterval)\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/tarifs/#intervalle-de-temps-timeinterval\"\n        # )\n      ]\n    }\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/french_profile/v2.ex",
    "content": "defmodule Transport.NeTEx.FrenchProfile.V2 do\n  @moduledoc \"\"\"\n  Definition of the validation rules for the French NeTEx profile.\n\n  This definition is still work in progress. It's versionned to track progress\n  and adapt any relevant user interface.\n\n  According to <https://bitbucket.org/enroute-mobi/netex/src/8099b6ebb4327f32cbc1f266099d966fcafbb761/lib/netex/source.rb#lines-219>,\n  only a subset of the NeTEx specification can be validated by enRoute.\n  \"\"\"\n\n  import Transport.NeTEx.ChouetteValidRulesetGenerator\n\n  alias Transport.NeTEx.FrenchProfile.V1, as: Previous\n\n  def slug, do: \"pan:french_profile:2\"\n\n  def ruleset(device \\\\ :stdio) do\n    definition() |> encode_ruleset(device)\n  end\n\n  def markdown(device \\\\ :stdio, markdown_options \\\\ []) do\n    definition() |> document_ruleset(device, markdown_options)\n  end\n\n  defp definition do\n    [\n      elements_communs(),\n      Previous.arrets(),\n      Previous.parkings(),\n      Previous.description_reseaux(),\n      Previous.horaires(),\n      Previous.accessibilite(),\n      Previous.tarifs()\n    ]\n  end\n\n  def elements_communs do\n    %{\n      sub_profile: \"commons\",\n      title: \"Éléments communs\",\n      ruleset: [\n        mandatory_attributes(\n          \"GroupOfEntity\",\n          [\"Name\"],\n          \"6.3 Attributs de GroupOfEntities\",\n          \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#attributs-de-groupofentities\"\n        ),\n        # See <https://github.com/etalab/transport-profil-netex-fr/issues/34>:\n        # this rule is misplaced and should not be considered for now. The\n        # profile is expected to be amended accordingly.\n        # mandatory_attributes(\n        #   \"Point\",\n        #   [\"Location\"],\n        #   \"6.5 Attributs de Point\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#attributs-de-point\"\n        # ),\n        mandatory_attributes(\n          \"Organisation\",\n          [\"OrganisationType\"],\n          \"6.18 Institutions\",\n          \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#institutions\"\n        )\n\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"ServiceRequest\",\n        #   [\"MessageIdentifier\"],\n        #   \"8.2.2 Requête\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#requ%C3%AAte\"\n        # ),\n\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"ServiceDelivery\",\n        #   [\"RequestMessageRef\", \"Status\"],\n        #   \"8.2.3 Réponse\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#r%C3%A9ponse\"\n        # ),\n\n        # Not supported by enRoute yet.\n        # mandatory_attributes(\n        #   \"DataObjectDelivery\",\n        #   [\"RequestMessageRef\", \"Status\"],\n        #   \"8.2.3 Réponse\",\n        #   \"https://normes.transport.data.gouv.fr/normes/netex/elements_communs/#r%C3%A9ponse\"\n        # )\n      ]\n    }\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/french_profile.ex",
    "content": "defmodule Transport.NeTEx.FrenchProfile do\n  @moduledoc \"\"\"\n  Definition of the validation rules for the French NeTEx profile.\n\n  This definition is still work in progress. It's versionned to track progress\n  and adapt any relevant user interface.\n\n  According to <https://bitbucket.org/enroute-mobi/netex/src/8099b6ebb4327f32cbc1f266099d966fcafbb761/lib/netex/source.rb#lines-219>,\n  only a subset of the NeTEx specification can be validated by enRoute.\n  \"\"\"\n\n  alias Transport.NeTEx.FrenchProfile.V2, as: Latest\n\n  defdelegate slug, to: Latest\n  defdelegate ruleset(device), to: Latest\n  defdelegate markdown(device, markdown_options), to: Latest\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/netex_helpers.ex",
    "content": "defmodule Transport.NeTEx.NeTExHelpers do\n  @moduledoc \"\"\"\n  Helpers related to NeTEx format.\n  \"\"\"\n\n  @common_frame \"NETEX_COMMUN\"\n  @stop_frame \"NETEX_ARRET\"\n  @line_frame \"NETEX_LIGNE\"\n  @network_frame \"NETEX_RESEAU\"\n  @timetable_frame \"NETEX_HORAIRE\"\n  @calendar_frame \"NETEX_CALENDRIER\"\n  @fares_frame \"NETEX_TARIF\"\n  @france_frame \"NETEX_FRANCE\"\n  @n_line_frame \"NETEX_N_LIGNE\"\n  @parking_frame \"NETEX_PARKING\"\n  @accessibility_frame \"NETEX_ACCESSIBILITE\"\n\n  @valid_type_of_frames [\n    # for GeneralFrame\n    @common_frame,\n    @stop_frame,\n    @line_frame,\n    @network_frame,\n    @timetable_frame,\n    @calendar_frame,\n    @fares_frame,\n    @parking_frame,\n    @accessibility_frame,\n    # for CompositeFrame\n    @france_frame,\n    @n_line_frame\n  ]\n\n  @doc \"\"\"\n  Strict parser of TypeOfFrameRef compatible with the French Profile.\n  Non standard types are discarded.\n  \"\"\"\n  def parse_type_of_frame(type_of_frame) do\n    case type_of_frame |> String.split(\":\") |> Enum.take(3) do\n      [_prefix, \"TypeOfFrame\", sub_profile] when sub_profile in @valid_type_of_frames ->\n        {:ok, sub_profile}\n\n      _ ->\n        :error\n    end\n  end\n\n  def calendar_frame?(type_of_frame) do\n    parse_type_of_frame(type_of_frame) == {:ok, @calendar_frame}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/saxy_helpers.ex",
    "content": "defmodule Transport.NeTEx.SaxyHelpers do\n  @moduledoc \"\"\"\n  Helpers to implement Saxy handlers.\n  \"\"\"\n\n  def get_attribute!(attributes, attr_name) do\n    [value] = for {attr, value} <- attributes, attr == attr_name, do: value\n    value\n  end\n\n  # NOTE: currently parsing as floats, which are limited in terms of precision,\n  # but more work on precision will be done later.\n  def parse_float!(binary) do\n    {value, \"\"} = Float.parse(binary)\n    value\n  end\n\n  def parse_date(state, chars, cb) do\n    case DateTime.from_iso8601(chars) do\n      {:ok, valid, _offset} ->\n        {:ok, valid |> DateTime.to_date() |> cb.()}\n\n      _ ->\n        parse_date_utc(state, chars, cb)\n    end\n  end\n\n  defp parse_date_utc(state, chars, cb) do\n    case DateTime.from_iso8601(\"#{chars}Z\") do\n      {:ok, valid, 0} ->\n        {:ok, valid |> DateTime.to_date() |> cb.()}\n\n      _ ->\n        case Date.from_iso8601(chars) do\n          {:ok, valid} -> {:ok, cb.(valid)}\n          _ -> {:ok, state}\n        end\n    end\n  end\n\n  def capturing_initial_state(initial_state) do\n    Map.merge(initial_state, %{\n      capture: false,\n      current_tree: []\n    })\n  end\n\n  def push(state, element), do: state |> update_in([:current_tree], &(&1 ++ [element]))\n\n  def pop(state), do: update_in(state, [:current_tree], &(&1 |> List.delete_at(-1)))\n\n  def reset_tree(state), do: %{state | current_tree: []}\n\n  def start_capture(state), do: %{state | capture: true}\n\n  def stop_capture(state), do: %{state | capture: false}\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/service_calendars_streaming_parser.ex",
    "content": "defmodule Transport.NeTEx.ServiceCalendarsStreamingParser do\n  @moduledoc \"\"\"\n  Saxy streaming parser to extract service calendars from a given NeTEx file.\n  \"\"\"\n\n  @behaviour Saxy.Handler\n\n  import Transport.NeTEx.SaxyHelpers\n\n  def initial_state do\n    %{\n      capture: false,\n      current_tree: [],\n      service_calendars: []\n    }\n  end\n\n  def unwrap_result(final_state), do: final_state.service_calendars\n\n  def handle_event(:start_element, {element, attributes}, state) do\n    state =\n      case {element, state[:capture]} do\n        {\"ServiceCalendarFrame\", _} ->\n          state |> reset_tree() |> start_capture()\n\n        {\"ServiceCalendar\", true} ->\n          update_service_calendar(state, :id, get_attribute!(attributes, \"id\"))\n\n        {\"DayType\", true} ->\n          init_service_calendar(state, %{id: get_attribute!(attributes, \"id\")})\n\n        {_, _} ->\n          state\n      end\n\n    {:ok, state |> push(element)}\n  end\n\n  def handle_event(:end_element, node, state) do\n    cond do\n      node == \"ServiceCalendarFrame\" ->\n        {:ok, state |> reset_tree() |> stop_capture()}\n\n      node in [\"ServiceCalendar\", \"DayType\"] and state[:capture] ->\n        {:ok, state |> register_service_calendar() |> pop()}\n\n      true ->\n        {:ok, pop(state)}\n    end\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.current_tree == [\"ServiceCalendarFrame\", \"Name\"] do\n    {:ok, init_service_calendar(state, %{name: chars})}\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.current_tree == [\"ServiceCalendarFrame\", \"dayTypes\", \"DayType\", \"Name\"] do\n    {:ok, update_service_calendar(state, :name, chars)}\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.current_tree == [\"ServiceCalendarFrame\", \"ServiceCalendar\", \"FromDate\"] do\n    update_date(state, :start_date, chars)\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.current_tree == [\"ServiceCalendarFrame\", \"dayTypes\", \"DayType\", \"ValidBetween\", \"FromDate\"] do\n    update_date(state, :start_date, chars)\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.current_tree == [\"ServiceCalendarFrame\", \"ServiceCalendar\", \"ToDate\"] do\n    update_date(state, :end_date, chars)\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.current_tree == [\"ServiceCalendarFrame\", \"dayTypes\", \"DayType\", \"ValidBetween\", \"ToDate\"] do\n    update_date(state, :end_date, chars)\n  end\n\n  def handle_event(:characters, _chars, state) do\n    {:ok, state}\n  end\n\n  def handle_event(_, _, state), do: {:ok, state}\n\n  defp init_service_calendar(state, attrs), do: Map.put(state, :current_service_calendar, attrs)\n\n  defp update_service_calendar(state, field, value) do\n    update_in(state, [:current_service_calendar], &(&1 |> Map.put(field, value)))\n  end\n\n  defp register_service_calendar(state) do\n    current = state.current_service_calendar\n\n    if valid_service_calendar?(current) do\n      state\n      |> init_service_calendar(nil)\n      |> update_in([:service_calendars], &(&1 ++ [current]))\n    else\n      state\n      |> init_service_calendar(nil)\n    end\n  end\n\n  defp valid_service_calendar?(%{id: id, name: name, start_date: %Date{}, end_date: %Date{}}) do\n    is_binary(id) and is_binary(name)\n  end\n\n  defp valid_service_calendar?(_), do: false\n\n  defp update_date(state, field, chars) do\n    parse_date(state, chars, &update_service_calendar(state, field, &1))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/stop_places_streaming_parser.ex",
    "content": "defmodule Transport.NeTEx.StopPlacesStreamingParser do\n  @moduledoc \"\"\"\n  This module is a `Saxy` streaming XML parser, able to scan very large XML files\n  in a way that does not overload the memory (element by element).\n\n  It is a first stab at reading NeTEx files to pick `StopPlace`s.\n\n  Limitations:\n  - There are other locations in a NeTEx file where to find stops, and also other concepts (`Quay`),\n    but this is already providing a first basis on which we'll iterate.\n  - The result is an accumulated array (not a stream), which is not actually a problem given the\n    current size of the output, but this could be changed in the future.\n  - The scanning structure is hard-coded, and we will want later to use something more flexible\n    (à la XPath), maybe via macros or real XPath calls, but this is good enough for now.\n\n  How it works:\n  - Detect `StopPlace` elements\n  - Extract their `id` attribute\n  - Underneath, find the `Centroid/Location/[Latitude|Longitude]` nodes\n\n  Some `StopPlace`s do not have any `Centroid` nor `Latitude|Longitude`, but are still scanned.\n  \"\"\"\n\n  @behaviour Saxy.Handler\n\n  import Transport.NeTEx.SaxyHelpers\n\n  def initial_state do\n    %{\n      capture: false,\n      current_tree: [],\n      stop_places: [],\n      callback: fn state ->\n        state |> update_in([:stop_places], &(&1 ++ [state.current_stop_place]))\n      end\n    }\n  end\n\n  def unwrap_result(final_state), do: final_state.stop_places\n\n  # A `StopPlace` is declared, we will start capturing subsequent events\n  def handle_event(:start_element, {\"StopPlace\" = element, attributes}, state) do\n    if state[:capture] || not is_nil(state[:current_stop_place]) do\n      raise \"Invalid state\"\n    end\n\n    {:ok,\n     state\n     |> Map.put(:current_stop_place, %{id: get_attribute!(attributes, \"id\")})\n     |> Map.put(:capture, true)\n     |> Map.put(:current_tree, [element])}\n  end\n\n  def handle_event(:start_element, {element, _attributes}, state) when state.capture do\n    {:ok, state |> update_in([:current_tree], &(&1 ++ [element]))}\n  end\n\n  def handle_event(:end_element, \"StopPlace\" = _node, state) do\n    state = if state[:callback], do: state[:callback].(state), else: state\n    {:ok, %{state | current_stop_place: nil, capture: false, current_tree: []}}\n  end\n\n  def handle_event(:end_element, _node, state) do\n    {:ok, state |> update_in([:current_tree], &(&1 |> List.delete_at(-1)))}\n  end\n\n  def handle_event(:characters, chars, state) when state.current_tree == [\"StopPlace\", \"Name\"] do\n    {:ok, state |> update_in([:current_stop_place], &(&1 |> Map.put(:name, chars)))}\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.current_tree == [\"StopPlace\", \"Centroid\", \"Location\", \"Latitude\"] do\n    {:ok, state |> update_in([:current_stop_place], &(&1 |> Map.put(:latitude, parse_float!(chars))))}\n  end\n\n  def handle_event(:characters, chars, state)\n      when state.current_tree == [\"StopPlace\", \"Centroid\", \"Location\", \"Longitude\"] do\n    {:ok, state |> update_in([:current_stop_place], &(&1 |> Map.put(:longitude, parse_float!(chars))))}\n  end\n\n  def handle_event(_, _, state), do: {:ok, state}\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/to_geojson/coordinates.ex",
    "content": "defmodule Transport.NeTEx.ToGeoJSON.Coordinates do\n  @moduledoc \"\"\"\n  Parsing utilities for GML coordinate formats used in NeTEx files.\n\n  GML uses lat/lon order while GeoJSON uses lon/lat order.\n  This module handles the conversion between these formats.\n  \"\"\"\n\n  @doc \"\"\"\n  Parses a GML posList string into GeoJSON coordinates.\n\n  GML posList format: \"lat lon lat lon ...\" (space-separated, latitude first)\n  GeoJSON format: [[lon, lat], [lon, lat], ...] (longitude first)\n\n  ## Examples\n\n      iex> Coordinates.parse_gml_pos_list(\"48.8566 2.3522 48.8600 2.3600\")\n      {:ok, [[2.3522, 48.8566], [2.36, 48.86]]}\n\n      iex> Coordinates.parse_gml_pos_list(\"invalid\")\n      {:error, \"Invalid coordinate value: invalid\"}\n\n      iex> Coordinates.parse_gml_pos_list(\"\")\n      {:ok, []}\n\n  \"\"\"\n  @spec parse_gml_pos_list(String.t()) :: {:ok, [[number()]]} | {:error, String.t()}\n  def parse_gml_pos_list(pos_list) when is_binary(pos_list) do\n    pos_list\n    |> String.trim()\n    |> case do\n      \"\" ->\n        {:ok, []}\n\n      trimmed ->\n        trimmed\n        |> String.split(~r/\\s+/)\n        |> parse_coordinate_pairs()\n    end\n  end\n\n  @doc \"\"\"\n  Parses a GML coordinates string into GeoJSON coordinates.\n\n  GML coordinates format: \"lon,lat lon,lat ...\" (comma-separated pairs, space between pairs)\n  Note: Unlike posList, this format uses lon,lat order (same as GeoJSON).\n\n  ## Examples\n\n      iex> Coordinates.parse_gml_coordinates(\"2.3522,48.8566 2.3600,48.8600\")\n      {:ok, [[2.3522, 48.8566], [2.36, 48.86]]}\n\n      iex> Coordinates.parse_gml_coordinates(\"\")\n      {:ok, []}\n\n  \"\"\"\n  @spec parse_gml_coordinates(String.t()) :: {:ok, [[number()]]} | {:error, String.t()}\n  def parse_gml_coordinates(coordinates) when is_binary(coordinates) do\n    coordinates\n    |> String.trim()\n    |> case do\n      \"\" ->\n        {:ok, []}\n\n      trimmed ->\n        trimmed\n        |> String.split(~r/\\s+/)\n        |> parse_coordinate_pairs_lon_lat()\n    end\n  end\n\n  @doc \"\"\"\n  Parses a single latitude value.\n\n  ## Examples\n\n      iex> Coordinates.parse_latitude(\"48.8566\")\n      {:ok, 48.8566}\n\n  \"\"\"\n  @spec parse_latitude(String.t()) :: {:ok, float()} | {:error, String.t()}\n  def parse_latitude(lat_string) when is_binary(lat_string) do\n    parse_float(String.trim(lat_string))\n  end\n\n  @doc \"\"\"\n  Parses a single longitude value.\n\n  ## Examples\n\n      iex> Coordinates.parse_longitude(\"2.3522\")\n      {:ok, 2.3522}\n\n  \"\"\"\n  @spec parse_longitude(String.t()) :: {:ok, float()} | {:error, String.t()}\n  def parse_longitude(lon_string) when is_binary(lon_string) do\n    parse_float(String.trim(lon_string))\n  end\n\n  defp parse_coordinate_pairs_lon_lat(pairs) do\n    Enum.reduce_while(pairs, {:ok, []}, fn pair, {:ok, acc} ->\n      case parse_lon_lat_pair(pair) do\n        {:ok, coord} -> {:cont, {:ok, acc ++ [coord]}}\n        {:error, _} = error -> {:halt, error}\n      end\n    end)\n  end\n\n  defp parse_lon_lat_pair(pair) do\n    case String.split(pair, \",\") do\n      [lon_str, lat_str] ->\n        with {:ok, lon} <- parse_float(lon_str),\n             {:ok, lat} <- parse_float(lat_str) do\n          {:ok, [lon, lat]}\n        end\n\n      _ ->\n        {:error, \"Invalid coordinate pair: #{pair}\"}\n    end\n  end\n\n  defp parse_coordinate_pairs(values) do\n    if rem(length(values), 2) != 0 do\n      {:error, \"Odd number of coordinate values\"}\n    else\n      values\n      |> Enum.chunk_every(2)\n      |> Enum.reduce_while({:ok, []}, fn [lat_str, lon_str], {:ok, acc} ->\n        with {:ok, lat} <- parse_float(lat_str),\n             {:ok, lon} <- parse_float(lon_str) do\n          # Convert from GML lat/lon to GeoJSON lon/lat\n          {:cont, {:ok, acc ++ [[lon, lat]]}}\n        else\n          {:error, _} = error -> {:halt, error}\n        end\n      end)\n    end\n  end\n\n  defp parse_float(string) do\n    case Float.parse(string) do\n      {value, \"\"} -> {:ok, value}\n      {value, _rest} -> {:ok, value}\n      :error -> {:error, \"Invalid coordinate value: #{string}\"}\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/to_geojson/geojson_builder.ex",
    "content": "defmodule Transport.NeTEx.ToGeoJSON.GeoJSONBuilder do\n  @moduledoc \"\"\"\n  Utility functions for building GeoJSON structures.\n\n  Provides functions to create GeoJSON FeatureCollection, Point features,\n  and LineString features from parsed NeTEx data.\n  \"\"\"\n\n  @doc \"\"\"\n  Creates a GeoJSON FeatureCollection from a list of features.\n\n  ## Examples\n\n      iex> GeoJSONBuilder.feature_collection([])\n      %{\"type\" => \"FeatureCollection\", \"features\" => []}\n\n  \"\"\"\n  @spec feature_collection([map()]) :: map()\n  def feature_collection(features) when is_list(features) do\n    %{\n      \"type\" => \"FeatureCollection\",\n      \"features\" => features\n    }\n  end\n\n  @doc \"\"\"\n  Creates a GeoJSON Point feature.\n\n  Coordinates should be provided as [longitude, latitude] (GeoJSON order).\n\n  ## Examples\n\n      iex> GeoJSONBuilder.point_feature([2.3522, 48.8566], %{\"name\" => \"Paris\"}, \"stop_1\")\n      %{\n        \"type\" => \"Feature\",\n        \"id\" => \"stop_1\",\n        \"geometry\" => %{\"type\" => \"Point\", \"coordinates\" => [2.3522, 48.8566]},\n        \"properties\" => %{\"name\" => \"Paris\"}\n      }\n\n  \"\"\"\n  @spec point_feature([number()], map(), String.t() | nil) :: map()\n  def point_feature(coordinates, properties, id \\\\ nil)\n\n  def point_feature([lon, lat] = coordinates, properties, id)\n      when is_number(lon) and is_number(lat) and is_map(properties) do\n    feature = %{\n      \"type\" => \"Feature\",\n      \"geometry\" => %{\n        \"type\" => \"Point\",\n        \"coordinates\" => coordinates\n      },\n      \"properties\" => properties\n    }\n\n    maybe_add_id(feature, id)\n  end\n\n  @doc \"\"\"\n  Creates a GeoJSON LineString feature.\n\n  Coordinates should be provided as a list of [longitude, latitude] pairs (GeoJSON order).\n\n  ## Examples\n\n      iex> coords = [[2.35, 48.85], [2.36, 48.86]]\n      iex> GeoJSONBuilder.line_string_feature(coords, %{\"name\" => \"Route A\"}, \"link_1\")\n      %{\n        \"type\" => \"Feature\",\n        \"id\" => \"link_1\",\n        \"geometry\" => %{\"type\" => \"LineString\", \"coordinates\" => [[2.35, 48.85], [2.36, 48.86]]},\n        \"properties\" => %{\"name\" => \"Route A\"}\n      }\n\n  \"\"\"\n  @spec line_string_feature([[number()]], map(), String.t() | nil) :: map()\n  def line_string_feature(coordinates, properties, id \\\\ nil)\n\n  def line_string_feature(coordinates, properties, id)\n      when is_list(coordinates) and is_map(properties) do\n    feature = %{\n      \"type\" => \"Feature\",\n      \"geometry\" => %{\n        \"type\" => \"LineString\",\n        \"coordinates\" => coordinates\n      },\n      \"properties\" => properties\n    }\n\n    maybe_add_id(feature, id)\n  end\n\n  @doc \"\"\"\n  Converts a parsed stop (StopPlace or Quay) to a GeoJSON Point feature.\n\n  The input map should contain at minimum :id, and optionally :name, :latitude, :longitude,\n  :public_code, and :type.\n\n  Returns nil if latitude or longitude are missing.\n\n  ## Examples\n\n      iex> stop = %{id: \"stop_1\", name: \"Gare\", latitude: 48.8566, longitude: 2.3522}\n      iex> GeoJSONBuilder.stop_to_feature(stop)\n      %{\n        \"type\" => \"Feature\",\n        \"id\" => \"stop_1\",\n        \"geometry\" => %{\"type\" => \"Point\", \"coordinates\" => [2.3522, 48.8566]},\n        \"properties\" => %{\"name\" => \"Gare\", \"netex_id\" => \"stop_1\"}\n      }\n\n  \"\"\"\n  @spec stop_to_feature(map()) :: map() | nil\n  def stop_to_feature(%{latitude: lat, longitude: lon} = stop)\n      when is_number(lat) and is_number(lon) do\n    properties =\n      %{\"netex_id\" => stop[:id]}\n      |> maybe_put(\"name\", stop[:name])\n      |> maybe_put(\"public_code\", stop[:public_code])\n      |> maybe_put(\"type\", stop[:type])\n\n    point_feature([lon, lat], properties, stop[:id])\n  end\n\n  def stop_to_feature(_stop), do: nil\n\n  @doc \"\"\"\n  Converts a parsed ServiceLink to a GeoJSON LineString feature.\n\n  The input map should contain :id, :coordinates (list of [lon, lat] pairs),\n  and optionally :name, :from_point_ref, :to_point_ref.\n\n  Returns nil if coordinates are missing or empty.\n\n  ## Examples\n\n      iex> link = %{id: \"link_1\", name: \"Route\", coordinates: [[2.35, 48.85], [2.36, 48.86]]}\n      iex> GeoJSONBuilder.service_link_to_feature(link)\n      %{\n        \"type\" => \"Feature\",\n        \"id\" => \"link_1\",\n        \"geometry\" => %{\"type\" => \"LineString\", \"coordinates\" => [[2.35, 48.85], [2.36, 48.86]]},\n        \"properties\" => %{\"name\" => \"Route\", \"netex_id\" => \"link_1\"}\n      }\n\n  \"\"\"\n  @spec service_link_to_feature(map()) :: map() | nil\n  def service_link_to_feature(%{coordinates: coords} = link)\n      when is_list(coords) and length(coords) >= 2 do\n    properties =\n      %{\"netex_id\" => link[:id]}\n      |> maybe_put(\"name\", link[:name])\n      |> maybe_put(\"from_point_ref\", link[:from_point_ref])\n      |> maybe_put(\"to_point_ref\", link[:to_point_ref])\n\n    line_string_feature(coords, properties, link[:id])\n  end\n\n  def service_link_to_feature(_link), do: nil\n\n  defp maybe_add_id(feature, nil), do: feature\n  defp maybe_add_id(feature, id), do: Map.put(feature, \"id\", id)\n\n  defp maybe_put(map, _key, nil), do: map\n  defp maybe_put(map, key, value), do: Map.put(map, key, value)\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/to_geojson/parsers/quay_parser.ex",
    "content": "defmodule Transport.NeTEx.ToGeoJSON.QuayParser do\n  @moduledoc \"\"\"\n  A SAX streaming XML parser for extracting Quay elements from NeTEx files.\n\n  Quays represent platforms or boarding positions within a StopPlace.\n  This parser extracts: id, name, public_code, latitude, longitude.\n\n  Similar structure to `Transport.NeTEx.StopPlacesStreamingParser` but for Quay elements.\n  \"\"\"\n\n  @behaviour Saxy.Handler\n\n  @doc \"\"\"\n  Parses XML content and extracts all Quay elements.\n\n  ## Examples\n\n      iex> xml = \"<Quay id=\\\\\"quay_1\\\\\"><Name>Platform 1</Name></Quay>\"\n      iex> {:ok, quays} = QuayParser.parse(xml)\n      iex> quays\n      [%{id: \"quay_1\", name: \"Platform 1\"}]\n\n  \"\"\"\n  @spec parse(String.t()) :: {:ok, [map()]} | {:error, String.t()}\n  def parse(xml) when is_binary(xml) do\n    initial_state = %{\n      capture: false,\n      current_tree: [],\n      current_quay: nil,\n      quays: []\n    }\n\n    case Saxy.parse_string(xml, __MODULE__, initial_state) do\n      {:ok, state} -> {:ok, state.quays}\n      {:error, exception} -> {:error, Exception.message(exception)}\n      {:halt, _state, _rest} -> {:error, \"SAX parsing interrupted unexpectedly.\"}\n    end\n  end\n\n  @doc \"\"\"\n  Parses XML from a stream and extracts all Quay elements.\n  \"\"\"\n  @spec parse_stream(Enumerable.t()) :: {:ok, [map()]} | {:error, String.t()}\n  def parse_stream(stream) do\n    initial_state = %{\n      capture: false,\n      current_tree: [],\n      current_quay: nil,\n      quays: []\n    }\n\n    stream\n    |> Stream.map(&IO.iodata_to_binary/1)\n    |> Saxy.parse_stream(__MODULE__, initial_state)\n    |> case do\n      {:ok, state} -> {:ok, state.quays}\n      {:error, exception} -> {:error, Exception.message(exception)}\n      {:halt, _state, _rest} -> {:error, \"SAX parsing interrupted unexpectedly.\"}\n    end\n  end\n\n  # Start capturing when we encounter a Quay element\n  @impl Saxy.Handler\n  def handle_event(:start_element, {\"Quay\" = element, attributes}, state) do\n    id = get_attribute(attributes, \"id\")\n\n    {:ok,\n     %{\n       state\n       | current_quay: %{id: id, type: :quay},\n         capture: true,\n         current_tree: [element]\n     }}\n  end\n\n  # Track nested elements while capturing\n  def handle_event(:start_element, {element, _attributes}, %{capture: true} = state) do\n    {:ok, %{state | current_tree: state.current_tree ++ [element]}}\n  end\n\n  # End of Quay element - save the quay\n  def handle_event(:end_element, \"Quay\", state) do\n    quays =\n      if state.current_quay do\n        state.quays ++ [state.current_quay]\n      else\n        state.quays\n      end\n\n    {:ok, %{state | current_quay: nil, capture: false, current_tree: [], quays: quays}}\n  end\n\n  # End of nested element\n  def handle_event(:end_element, _element, %{capture: true} = state) do\n    {:ok, %{state | current_tree: state.current_tree |> List.delete_at(-1)}}\n  end\n\n  # Parse Name\n  def handle_event(:characters, chars, %{current_tree: [\"Quay\", \"Name\"]} = state) do\n    {:ok, %{state | current_quay: Map.put(state.current_quay, :name, chars)}}\n  end\n\n  # Parse PublicCode\n  def handle_event(:characters, chars, %{current_tree: [\"Quay\", \"PublicCode\"]} = state) do\n    {:ok, %{state | current_quay: Map.put(state.current_quay, :public_code, chars)}}\n  end\n\n  # Parse Latitude\n  def handle_event(\n        :characters,\n        chars,\n        %{current_tree: [\"Quay\", \"Centroid\", \"Location\", \"Latitude\"]} = state\n      ) do\n    {:ok, %{state | current_quay: Map.put(state.current_quay, :latitude, parse_float!(chars))}}\n  end\n\n  # Parse Longitude\n  def handle_event(\n        :characters,\n        chars,\n        %{current_tree: [\"Quay\", \"Centroid\", \"Location\", \"Longitude\"]} = state\n      ) do\n    {:ok, %{state | current_quay: Map.put(state.current_quay, :longitude, parse_float!(chars))}}\n  end\n\n  # Catch-all for unhandled events\n  def handle_event(_, _, state), do: {:ok, state}\n\n  defp get_attribute(attributes, name) do\n    Enum.find_value(attributes, fn\n      {^name, value} -> value\n      _ -> nil\n    end)\n  end\n\n  defp parse_float!(binary) do\n    {value, \"\"} = Float.parse(binary)\n    value\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/to_geojson/parsers/service_link_parser.ex",
    "content": "defmodule Transport.NeTEx.ToGeoJSON.ServiceLinkParser do\n  @moduledoc \"\"\"\n  A SAX streaming XML parser for extracting ServiceLink elements from NeTEx files.\n\n  ServiceLinks represent path segments between stops, typically containing\n  a LineString geometry for the route path.\n\n  This parser extracts: id, name, from_point_ref, to_point_ref, coordinates (LineString).\n  \"\"\"\n\n  @behaviour Saxy.Handler\n\n  alias Transport.NeTEx.ToGeoJSON.Coordinates\n\n  @doc \"\"\"\n  Parses XML content and extracts all ServiceLink elements.\n\n  ## Examples\n\n      iex> xml = \"<ServiceLink id=\\\\\"link_1\\\\\"><Name>Route A</Name></ServiceLink>\"\n      iex> {:ok, links} = ServiceLinkParser.parse(xml)\n      iex> links\n      [%{id: \"link_1\", name: \"Route A\"}]\n\n  \"\"\"\n  @spec parse(String.t()) :: {:ok, [map()]} | {:error, String.t()}\n  def parse(xml) when is_binary(xml) do\n    initial_state = initial_state()\n\n    case Saxy.parse_string(xml, __MODULE__, initial_state) do\n      {:ok, state} -> {:ok, state.service_links}\n      {:error, exception} -> {:error, Exception.message(exception)}\n      {:halt, _state, _rest} -> {:error, \"SAX parsing interrupted unexpectedly.\"}\n    end\n  end\n\n  @doc \"\"\"\n  Parses XML from a stream and extracts all ServiceLink elements.\n  \"\"\"\n  @spec parse_stream(Enumerable.t()) :: {:ok, [map()]} | {:error, String.t()}\n  def parse_stream(stream) do\n    initial_state = initial_state()\n\n    stream\n    |> Stream.map(&IO.iodata_to_binary/1)\n    |> Saxy.parse_stream(__MODULE__, initial_state)\n    |> case do\n      {:ok, state} -> {:ok, state.service_links}\n      {:error, exception} -> {:error, Exception.message(exception)}\n      {:halt, _state, _rest} -> {:error, \"SAX parsing interrupted unexpectedly.\"}\n    end\n  end\n\n  defp initial_state do\n    %{\n      capture: false,\n      current_tree: [],\n      current_link: nil,\n      service_links: [],\n      # Buffer for accumulating character data\n      char_buffer: \"\"\n    }\n  end\n\n  # Start capturing when we encounter a ServiceLink element\n  @impl Saxy.Handler\n  def handle_event(:start_element, {\"ServiceLink\" = element, attributes}, state) do\n    id = get_attribute(attributes, \"id\")\n\n    {:ok,\n     %{\n       state\n       | current_link: %{id: id},\n         capture: true,\n         current_tree: [element],\n         char_buffer: \"\"\n     }}\n  end\n\n  # Track nested elements while capturing\n  def handle_event(:start_element, {element, attributes}, %{capture: true} = state) do\n    state = %{state | current_tree: state.current_tree ++ [element], char_buffer: \"\"}\n\n    # Capture ref attributes from FromPointRef and ToPointRef\n    state =\n      case state.current_tree do\n        [\"ServiceLink\", \"FromPointRef\"] ->\n          ref = get_attribute(attributes, \"ref\")\n          %{state | current_link: Map.put(state.current_link, :from_point_ref, ref)}\n\n        [\"ServiceLink\", \"ToPointRef\"] ->\n          ref = get_attribute(attributes, \"ref\")\n          %{state | current_link: Map.put(state.current_link, :to_point_ref, ref)}\n\n        _ ->\n          state\n      end\n\n    {:ok, state}\n  end\n\n  # End of ServiceLink element - save the link\n  def handle_event(:end_element, \"ServiceLink\", state) do\n    service_links =\n      if state.current_link do\n        state.service_links ++ [state.current_link]\n      else\n        state.service_links\n      end\n\n    {:ok, %{state | current_link: nil, capture: false, current_tree: [], service_links: service_links}}\n  end\n\n  # End of posList - parse coordinates (handles both gml:posList and posList)\n  def handle_event(:end_element, element, %{capture: true} = state)\n      when element in [\"posList\", \"gml:posList\"] do\n    state = process_pos_list(state)\n    {:ok, %{state | current_tree: state.current_tree |> List.delete_at(-1), char_buffer: \"\"}}\n  end\n\n  # End of coordinates element - parse coordinates (handles both gml:coordinates and coordinates)\n  def handle_event(:end_element, element, %{capture: true} = state)\n      when element in [\"coordinates\", \"gml:coordinates\"] do\n    state = process_gml_coordinates(state)\n    {:ok, %{state | current_tree: state.current_tree |> List.delete_at(-1), char_buffer: \"\"}}\n  end\n\n  # End of Name element - save name\n  def handle_event(:end_element, \"Name\", %{current_tree: [\"ServiceLink\", \"Name\"]} = state) do\n    current_link = Map.put(state.current_link, :name, String.trim(state.char_buffer))\n    {:ok, %{state | current_link: current_link, current_tree: [\"ServiceLink\"], char_buffer: \"\"}}\n  end\n\n  # End of nested element\n  def handle_event(:end_element, _element, %{capture: true} = state) do\n    {:ok, %{state | current_tree: state.current_tree |> List.delete_at(-1)}}\n  end\n\n  # Accumulate characters (they might come in multiple events)\n  def handle_event(:characters, chars, %{capture: true} = state) do\n    {:ok, %{state | char_buffer: state.char_buffer <> chars}}\n  end\n\n  # Catch-all for unhandled events\n  def handle_event(_, _, state), do: {:ok, state}\n\n  defp process_pos_list(state) do\n    case Coordinates.parse_gml_pos_list(state.char_buffer) do\n      {:ok, coords} when length(coords) >= 2 ->\n        %{state | current_link: Map.put(state.current_link, :coordinates, coords)}\n\n      _ ->\n        state\n    end\n  end\n\n  defp process_gml_coordinates(state) do\n    case Coordinates.parse_gml_coordinates(state.char_buffer) do\n      {:ok, coords} when length(coords) >= 2 ->\n        %{state | current_link: Map.put(state.current_link, :coordinates, coords)}\n\n      _ ->\n        state\n    end\n  end\n\n  defp get_attribute(attributes, name) do\n    Enum.find_value(attributes, fn\n      {^name, value} -> value\n      _ -> nil\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/to_geojson/to_geojson.ex",
    "content": "defmodule Transport.NeTEx.ToGeoJSON do\n  @moduledoc \"\"\"\n  Converts NeTEx archives (ZIP containing XML files) to GeoJSON FeatureCollection.\n\n  Supports extracting:\n  - StopPlace (stops) → Points\n  - Quay (platforms/quays) → Points\n  - ServiceLink (route paths) → LineStrings\n\n  ## Usage\n\n      # Convert a full archive\n      {:ok, geojson} = Transport.NeTEx.ToGeoJSON.convert_archive(\"/path/to/netex.zip\")\n\n      # Filter by element types\n      {:ok, geojson} = Transport.NeTEx.ToGeoJSON.convert_archive(path, types: [:stop_places, :quays])\n\n      # Convert XML directly\n      {:ok, geojson} = Transport.NeTEx.ToGeoJSON.convert_xml(xml_string)\n\n  \"\"\"\n\n  require Logger\n\n  alias Transport.NeTEx.ToGeoJSON.GeoJSONBuilder\n  alias Transport.NeTEx.ToGeoJSON.QuayParser\n  alias Transport.NeTEx.ToGeoJSON.ServiceLinkParser\n\n  @type element_type :: :stop_places | :quays | :service_links\n  @type option :: {:types, [element_type()]}\n\n  @all_types [:stop_places, :quays, :service_links]\n\n  @doc \"\"\"\n  Converts a NeTEx ZIP archive to a GeoJSON FeatureCollection.\n\n  ## Options\n\n  - `:types` - List of element types to extract. Defaults to all types.\n    Available types: `:stop_places`, `:quays`, `:service_links`\n\n  ## Examples\n\n      {:ok, geojson} = Transport.NeTEx.ToGeoJSON.convert_archive(\"/path/to/netex.zip\")\n\n      {:ok, geojson} = Transport.NeTEx.ToGeoJSON.convert_archive(path, types: [:stop_places])\n\n  \"\"\"\n  @spec convert_archive(String.t(), [option()]) :: {:ok, map()} | {:error, String.t()}\n  def convert_archive(zip_path, opts \\\\ []) do\n    types = Keyword.get(opts, :types, @all_types)\n\n    Transport.NeTEx.ArchiveParser.with_zip_file_handle(\n      zip_path,\n      fn unzip ->\n        features =\n          unzip\n          |> Unzip.list_entries()\n          |> Enum.flat_map(fn metadata ->\n            extract_features_from_entry(unzip, metadata.file_name, types)\n          end)\n\n        {:ok, GeoJSONBuilder.feature_collection(features)}\n      end,\n      fn e -> {:error, e} end\n    )\n  end\n\n  @doc \"\"\"\n  Converts NeTEx XML content directly to a GeoJSON FeatureCollection.\n\n  ## Options\n\n  - `:types` - List of element types to extract. Defaults to all types.\n\n  ## Examples\n\n      {:ok, geojson} = Transport.NeTEx.ToGeoJSON.convert_xml(xml_content)\n\n  \"\"\"\n  @spec convert_xml(String.t(), [option()]) :: {:ok, map()} | {:error, String.t()}\n  def convert_xml(xml, opts \\\\ []) do\n    types = Keyword.get(opts, :types, @all_types)\n\n    features = extract_features_from_xml(xml, types)\n    {:ok, GeoJSONBuilder.feature_collection(features)}\n  rescue\n    e -> {:error, Exception.message(e)}\n  end\n\n  defp extract_features_from_entry(unzip, file_name, types) do\n    extension = Path.extname(file_name)\n\n    cond do\n      String.ends_with?(file_name, \"/\") ->\n        []\n\n      String.downcase(extension) != \".xml\" ->\n        []\n\n      true ->\n        Logger.debug(\"Processing #{file_name} for GeoJSON conversion\")\n\n        stream =\n          unzip\n          |> Unzip.file_stream!(file_name)\n          |> Stream.map(&IO.iodata_to_binary/1)\n\n        extract_features_from_stream(stream, types)\n    end\n  end\n\n  defp extract_features_from_stream(stream, types) do\n    # We need to read the full content since we parse with multiple parsers\n    xml = Enum.join(stream)\n    extract_features_from_xml(xml, types)\n  end\n\n  defp extract_features_from_xml(xml, types) do\n    features = []\n\n    features =\n      if :stop_places in types do\n        features ++ extract_stop_places(xml)\n      else\n        features\n      end\n\n    features =\n      if :quays in types do\n        features ++ extract_quays(xml)\n      else\n        features\n      end\n\n    features =\n      if :service_links in types do\n        features ++ extract_service_links(xml)\n      else\n        features\n      end\n\n    features\n  end\n\n  defp extract_stop_places(xml) do\n    state = %{\n      current_stop_place: nil,\n      capture: false,\n      current_tree: [],\n      stop_places: [],\n      callback: fn state ->\n        state |> update_in([:stop_places], &(&1 ++ [state.current_stop_place]))\n      end\n    }\n\n    case Saxy.parse_string(xml, Transport.NeTEx.StopPlacesStreamingParser, state) do\n      {:ok, final_state} ->\n        final_state.stop_places\n        |> Enum.map(fn stop -> Map.put(stop, :type, :stop_place) end)\n        |> Enum.map(&GeoJSONBuilder.stop_to_feature/1)\n        |> Enum.reject(&is_nil/1)\n\n      _ ->\n        []\n    end\n  end\n\n  defp extract_quays(xml) do\n    case QuayParser.parse(xml) do\n      {:ok, quays} ->\n        quays\n        |> Enum.map(&GeoJSONBuilder.stop_to_feature/1)\n        |> Enum.reject(&is_nil/1)\n\n      _ ->\n        []\n    end\n  end\n\n  defp extract_service_links(xml) do\n    case ServiceLinkParser.parse(xml) do\n      {:ok, links} ->\n        links\n        |> Enum.map(&GeoJSONBuilder.service_link_to_feature/1)\n        |> Enum.reject(&is_nil/1)\n\n      _ ->\n        []\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/netex/types_of_frame_streaming_parser.ex",
    "content": "defmodule Transport.NeTEx.TypesOfFrameStreamingParser do\n  @moduledoc \"\"\"\n  Saxy streaming parser to extract type of frames from a given NeTEx file.\n  \"\"\"\n\n  @behaviour Saxy.Handler\n\n  import Transport.NeTEx.NeTExHelpers\n  import Transport.NeTEx.SaxyHelpers\n\n  def initial_state do\n    %{\n      types_of_frames: []\n    }\n  end\n\n  def unwrap_result(final_state), do: final_state.types_of_frames\n\n  def handle_event(:start_element, {\"TypeOfFrameRef\", attributes}, state) do\n    ref = get_attribute!(attributes, \"ref\")\n\n    {:ok, state |> register_type_of_frame(ref)}\n  end\n\n  def handle_event(_, _, state), do: {:ok, state}\n\n  defp register_type_of_frame(state, ref) do\n    case parse_type_of_frame(ref) do\n      {:ok, frame} -> update_in(state, [:types_of_frames], &(&1 ++ [frame]))\n      _ -> state\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/queries/dashboard_import_count.sql",
    "content": "/*\n  Return :\n  - the \"count\" of logs_import for each dataset and each day of a recent date range (import_counts)\n  - the count of logs_import full success for each dataset and each day of a recent date range (success_counts)\n\n  NOTE: If we need to parameterize the date range, but still work with a raw SQL like here\n  (easier to test with SQL tooling, without having to rewrite into Ecto SQL), we can have\n  a look at https://hexdocs.pm/ayesql/AyeSQL.html.\n\n*/\n\nwith dates as (\nselect\n\td.id as dataset_id,\n\tday::date\nfrom\n\tgenerate_series(current_date - interval '30 day', current_date, '1 day') as day,\n\tdataset d),\n\nimport_counts as (\nselect\n\tdataset_id,\n\ttimestamp::date as date,\n\tcount(*) as count\nfrom\n\tlogs_import\ngroup by\n\tdataset_id,\n\tdate),\n\n  success_counts as (\nselect\n\tdataset_id,\n\ttimestamp::date as date,\n\tcount(*) as count\nfrom\n\tlogs_import\n  WHERE is_success = TRUE\n\ngroup by\n\tdataset_id,\n\tdate)\n\nselect\n\tdates.*,\n\tcoalesce(import_counts.count, 0) as import_counts,\n  coalesce(success_counts.count, 0) as success_counts\nfrom\n\tdates\nleft join import_counts on\n\tdates.day = import_counts.date\n\tand dates.dataset_id = import_counts.dataset_id\nleft join success_counts on\n\tdates.day = success_counts.date\n\tand dates.dataset_id = success_counts.dataset_id;\n"
  },
  {
    "path": "apps/transport/lib/registry/engine.ex",
    "content": "defmodule Transport.Registry.Engine do\n  @moduledoc \"\"\"\n  Stream eligible resources and run extractors to produce a raw registry at the end.\n  \"\"\"\n\n  alias Transport.Registry.GTFS\n  alias Transport.Registry.Model.DataSource\n  alias Transport.Registry.Model.Stop\n  alias Transport.Registry.NeTEx\n  alias Transport.Registry.Result\n\n  import Ecto.Query\n\n  require Logger\n\n  @type option :: {:limit, integer()} | {:formats, [String.t()]}\n\n  @doc \"\"\"\n  execute(\"/tmp/registre-arrets.csv\", formats: ~w(GTFS NeTEx), limit: 100)\n  \"\"\"\n  @spec execute(output_file :: Path.t(), opts :: [option]) :: :ok\n  def execute(output_file, opts \\\\ []) do\n    limit = Keyword.get(opts, :limit, 1_000_000)\n    formats = Keyword.get(opts, :formats, ~w(GTFS NeTEx))\n\n    create_empty_csv_with_headers(output_file)\n\n    enumerate_gtfs_resources(limit, formats)\n    |> Result.map_result(&prepare_extractor/1)\n    |> Task.async_stream(&download/1, max_concurrency: 12, timeout: 30 * 60_000)\n    # one for Task.async_stream\n    |> Result.cat_results()\n    # one for download/1\n    |> Result.cat_results()\n    |> Result.map_result(&extract_from_archive/1)\n    |> dump_to_csv(output_file)\n  end\n\n  def create_empty_csv_with_headers(output_file) do\n    headers = NimbleCSV.RFC4180.dump_to_iodata([Stop.csv_headers()])\n    File.write(output_file, headers)\n  end\n\n  def enumerate_gtfs_resources(limit, formats) do\n    DB.Resource.base_query()\n    |> DB.ResourceHistory.join_resource_with_latest_resource_history()\n    |> where([resource: r], r.format in ^formats)\n    |> preload([resource_history: rh], resource_history: rh)\n    |> limit(^limit)\n    |> DB.Repo.all()\n  end\n\n  def prepare_extractor(%DB.Resource{} = resource) do\n    data_source_id = \"datagouv:resource:#{resource.datagouv_id}\"\n\n    case resource.format do\n      \"GTFS\" -> {:ok, {GTFS, data_source_id, resource.url}}\n      \"NeTEx\" -> {:ok, {NeTEx, data_source_id, resource.url}}\n      _ -> {:error, \"Unsupported format\"}\n    end\n  end\n\n  def download({extractor, data_source_id, url}) do\n    Logger.debug(\"download #{extractor} #{data_source_id} #{url}\")\n    tmp_path = System.tmp_dir!() |> Path.join(\"#{Ecto.UUID.generate()}.dat\")\n\n    safe_error = fn msg ->\n      File.rm(tmp_path)\n      Result.error(msg)\n    end\n\n    http_result =\n      Transport.HTTPClient.get(url,\n        decode_body: false,\n        compressed: false,\n        into: File.stream!(tmp_path)\n      )\n\n    case http_result do\n      {:error, error} ->\n        safe_error.(\"Unexpected error while downloading the resource from #{url}: #{Exception.message(error)}\")\n\n      {:ok, %{status: status}} ->\n        cond do\n          status >= 200 && status < 300 ->\n            {:ok, {extractor, data_source_id, tmp_path}}\n\n          status > 400 ->\n            safe_error.(\"Error #{status} while downloading the resource from #{url}\")\n\n          true ->\n            safe_error.(\"Unexpected HTTP error #{status} while downloading the resource from #{url}\")\n        end\n    end\n  end\n\n  @spec extract_from_archive({module(), DataSource.data_source_id(), Path.t()}) :: Result.t([Stop.t()])\n  def extract_from_archive({extractor, data_source_id, file}) do\n    Logger.debug(\"extract_from_archive #{extractor} #{data_source_id} #{file}\")\n    extractor.extract_from_archive(data_source_id, file)\n  end\n\n  def dump_to_csv(enumerable, output_file) do\n    enumerable\n    |> Stream.concat()\n    |> Stream.map(&Stop.to_csv/1)\n    |> NimbleCSV.RFC4180.dump_to_stream()\n    |> Stream.into(File.stream!(output_file, [:append, :utf8]))\n    |> Stream.run()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/registry/extractor.ex",
    "content": "defmodule Transport.Registry.Extractor do\n  @moduledoc \"\"\"\n  Interface and utilities for stops extractors.\n  \"\"\"\n\n  require Logger\n\n  alias Transport.Registry.Model.DataSource\n  alias Transport.Registry.Model.Stop\n  alias Transport.Registry.Result\n\n  @callback extract_from_archive(data_source_id :: DataSource.data_source_id(), path :: Path.t()) ::\n              Result.t([Stop.t()])\nend\n"
  },
  {
    "path": "apps/transport/lib/registry/gtfs.ex",
    "content": "defmodule Transport.Registry.GTFS do\n  @moduledoc \"\"\"\n  Implementation of a stop extractor for GTFS resources.\n  \"\"\"\n\n  alias Transport.Registry.Model.Stop\n  alias Transport.Registry.Model.StopIdentifier\n  alias Transport.Registry.Result\n\n  alias Transport.GTFS.Utils\n\n  require Logger\n\n  @behaviour Transport.Registry.Extractor\n  @doc \"\"\"\n  Extract stops from GTFS ressource.\n  \"\"\"\n  def extract_from_archive(data_source_id, archive) do\n    case file_stream(archive) do\n      {:error, error} ->\n        Logger.error(error)\n        Result.error(error)\n\n      {:ok, {content, zip_file}} ->\n        Logger.debug(\"Valid Zip archive\")\n\n        try do\n          content\n          |> Utils.to_stream_of_maps()\n          |> Stream.flat_map(&handle_stop(data_source_id, &1))\n          |> Enum.to_list()\n          |> Result.ok()\n        after\n          Unzip.LocalFile.close(zip_file)\n        rescue\n          e in NimbleCSV.ParseError ->\n            e\n            |> Exception.message()\n            |> Result.error()\n        end\n    end\n  end\n\n  defp handle_stop(data_source_id, record) do\n    latitude = Utils.get_position(record, \"stop_lat\")\n    longitude = Utils.get_position(record, \"stop_lon\")\n\n    if latitude != nil && longitude != nil do\n      [\n        %Stop{\n          main_id: %StopIdentifier{id: Map.fetch!(record, \"stop_id\"), type: :main},\n          display_name: Map.fetch!(record, \"stop_name\"),\n          latitude: latitude,\n          longitude: longitude,\n          projection: :utm_wgs84,\n          stop_type: record |> Utils.csv_get_with_default(\"location_type\", \"0\") |> to_stop_type(),\n          data_source_format: :gtfs,\n          data_source_id: data_source_id\n        }\n      ]\n    else\n      []\n    end\n  end\n\n  defp to_stop_type(\"0\"), do: :quay\n  defp to_stop_type(\"1\"), do: :stop\n  defp to_stop_type(_), do: :other\n\n  defp file_stream(archive) do\n    zip_file = Unzip.LocalFile.open(archive)\n\n    case Unzip.new(zip_file) do\n      {:ok, unzip} ->\n        if has_stops?(unzip) do\n          content = unzip |> Unzip.file_stream!(\"stops.txt\")\n          # The zip_file is kept open for now as it's consumed later.\n          Result.ok({content, zip_file})\n        else\n          Unzip.LocalFile.close(zip_file)\n          Result.error(\"Missing stops.txt in #{archive}\")\n        end\n\n      {:error, error} ->\n        Result.error(\"Error while unzipping archive #{archive}: #{error}\")\n    end\n  end\n\n  defp has_stops?(unzip) do\n    unzip\n    |> Unzip.list_entries()\n    |> Enum.any?(&entry_of_name?(\"stops.txt\", &1))\n  end\n\n  defp entry_of_name?(name, %Unzip.Entry{file_name: file_name}) do\n    file_name == name\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/registry/model/data_source.ex",
    "content": "defmodule Transport.Registry.Model.DataSource do\n  @moduledoc \"\"\"\n  Common attributes describing a data source.\n  \"\"\"\n\n  defstruct [\n    :id,\n    :checksum,\n    :last_updated_at,\n    :validity_period\n  ]\n\n  @type t :: %__MODULE__{\n          id: data_source_id(),\n          checksum: binary(),\n          last_updated_at: DateTime.t(),\n          validity_period: date_time_range()\n        }\n\n  @type data_source_id :: binary()\n\n  @type date_time_range :: binary()\nend\n"
  },
  {
    "path": "apps/transport/lib/registry/model/stop.ex",
    "content": "defmodule Transport.Registry.Model.StopIdentifier do\n  @moduledoc \"\"\"\n  Representation of a Stop ID.\n  \"\"\"\n\n  defstruct [\n    :id,\n    :type\n  ]\n\n  @type t :: %__MODULE__{\n          id: binary(),\n          type: identifier_type()\n        }\n\n  @type identifier_type :: :main | :private_code | :stop_code | :other\n\n  def main(id), do: %__MODULE__{type: :main, id: id}\n\n  @doc \"\"\"\n  iex> to_field(%Transport.Registry.Model.StopIdentifier{id: \"stop1\", type: :main})\n  \"main:stop1\"\n  iex> to_field(%Transport.Registry.Model.StopIdentifier{id: \"FRPLY\", type: :private_code})\n  \"private_code:FRPLY\"\n  iex> to_field(%Transport.Registry.Model.StopIdentifier{id: \"PARIS GDL\", type: :other})\n  \"other:PARIS GDL\"\n  \"\"\"\n  def to_field(%__MODULE__{id: id, type: type}) do\n    \"#{type}:#{id}\"\n  end\nend\n\ndefmodule Transport.Registry.Model.Stop do\n  @moduledoc \"\"\"\n  Common attributes describing a stop.\n  \"\"\"\n  alias Transport.Registry.Model.DataSource\n  alias Transport.Registry.Model.StopIdentifier\n\n  defstruct [\n    :main_id,\n    :display_name,\n    :data_source_id,\n    :data_source_format,\n    :parent_id,\n    :latitude,\n    :longitude,\n    projection: :utm_wgs84,\n    stop_type: :stop,\n    secondary_ids: []\n  ]\n\n  @type t :: %__MODULE__{\n          main_id: StopIdentifier.t(),\n          display_name: binary(),\n          data_source_id: DataSource.data_source_id(),\n          data_source_format: data_source_format_type(),\n          parent_id: StopIdentifier.t() | nil,\n          latitude: float(),\n          longitude: float(),\n          projection: projection(),\n          stop_type: stop_type(),\n          secondary_ids: [StopIdentifier.t()]\n        }\n\n  @type data_source_format_type :: :gtfs | :netex\n\n  @type stop_type :: :stop | :quay | :other\n\n  @type projection :: :utm_wgs84 | :lambert93_rgf93\n\n  def csv_headers do\n    ~w(\n      main_id\n      display_name\n      data_source_id\n      data_source_format\n      parent_id\n      latitude\n      longitude\n      projection\n      stop_type\n    )\n  end\n\n  def to_csv(%__MODULE__{} = stop) do\n    [\n      StopIdentifier.to_field(stop.main_id),\n      stop.display_name,\n      stop.data_source_id,\n      stop.data_source_format,\n      maybe(stop.parent_id, &StopIdentifier.to_field/1, \"\"),\n      stop.latitude,\n      stop.longitude,\n      stop.projection,\n      stop.stop_type\n    ]\n  end\n\n  @spec maybe(value :: any() | nil, mapper :: (any() -> any()), defaultValue :: any()) :: any() | nil\n  def maybe(nil, _, defaultValue), do: defaultValue\n  def maybe(value, mapper, _), do: mapper.(value)\nend\n"
  },
  {
    "path": "apps/transport/lib/registry/netex.ex",
    "content": "defmodule Transport.Registry.NeTEx do\n  @moduledoc \"\"\"\n  Implementation of a stop extractor for NeTEx resources.\n  \"\"\"\n\n  alias Transport.NeTEx.ArchiveParser\n  alias Transport.Registry.Model.Stop\n  alias Transport.Registry.Model.StopIdentifier\n  alias Transport.Registry.Result\n\n  require Logger\n\n  @behaviour Transport.Registry.Extractor\n  @doc \"\"\"\n  Extract stops from a NeTEx archive.\n  \"\"\"\n  def extract_from_archive(data_source_id, archive) do\n    archive\n    |> ArchiveParser.read_all_stop_places()\n    |> Enum.flat_map(&process_stop_places(data_source_id, &1))\n    |> Result.ok()\n  end\n\n  defp process_stop_places(data_source_id, {_filename, {:ok, stop_places}}) do\n    stop_places |> Enum.map(&to_stop(data_source_id, &1)) |> Result.cat_results()\n  end\n\n  defp process_stop_places(_data_source_id, {filename, {:error, message}}) do\n    Logger.error(\"Processing of #{filename}, error: #{message}\")\n    []\n  end\n\n  defp to_stop(data_source_id, %{id: id, name: name, latitude: latitude, longitude: longitude}) do\n    %Stop{\n      main_id: StopIdentifier.main(id),\n      display_name: name,\n      latitude: latitude,\n      longitude: longitude,\n      data_source_format: :netex,\n      data_source_id: data_source_id\n    }\n    |> Result.ok()\n  end\n\n  defp to_stop(_data_source_id, incomplete_record) do\n    expected_keys = MapSet.new(~w(id name latitude longitude))\n    keys = MapSet.new(Map.keys(incomplete_record))\n\n    missing_keys = MapSet.difference(expected_keys, keys) |> Enum.to_list()\n\n    message = \"Can't build stop, missing keys: #{inspect(missing_keys)}\"\n\n    Logger.error(message)\n    Result.error(message)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/registry/result.ex",
    "content": "defmodule Transport.Registry.Result do\n  @moduledoc \"\"\"\n  Type and utilities to represent results.\n  \"\"\"\n  require Integer\n\n  @type t(positive) :: {:ok, positive} | {:error, binary()}\n\n  def ok(positive), do: {:ok, positive}\n\n  def error(message), do: {:error, message}\n\n  @doc \"\"\"\n  iex> [{:ok, \"valid\"}, {:error, \"invalid\"}, {:ok, \"relevant\"}] |> cat_results()\n  [\"valid\", \"relevant\"]\n  \"\"\"\n  @spec cat_results(Enumerable.t(t(term()))) :: Enumerable.t(term())\n  def cat_results(enumerable), do: Stream.flat_map(enumerable, &keep_ok/1)\n\n  defp keep_ok({:ok, result}), do: [result]\n  defp keep_ok(_), do: []\n\n  @doc \"\"\"\n  iex> 1..10 |> map_result(fn v -> if Integer.is_odd(v) do {:ok, v} else {:error, \"Even Steven\"} end end)\n  [1, 3, 5, 7, 9]\n  \"\"\"\n  @spec map_result(Enumerable.t(term()), (term() -> t(term()))) :: Enumerable.t(term())\n  def map_result(enumerable, mapper) do\n    enumerable\n    |> Stream.map(mapper)\n    |> cat_results()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/siri_queries.ex",
    "content": "# Links:\n# - http://www.normes-donnees-tc.org/wp-content/uploads/2021/09/BNTRA-CN03-GT7_NF-Profil-SIRI-FR_v1.2_20210308.pdf\n# - https://github.com/SIRI-CEN/SIRI\ndefmodule Transport.SIRI do\n  @moduledoc \"\"\"\n  A module to build SIRI queries.\n  \"\"\"\n\n  import Saxy.XML\n\n  @top_level_namespaces [\n    {\"xmlns:S\", \"http://schemas.xmlsoap.org/soap/envelope/\"},\n    {\"xmlns:SOAP-ENV\", \"http://schemas.xmlsoap.org/soap/envelope/\"}\n  ]\n\n  @request_namespaces [\n    {\"xmlns:sw\", \"http://wsdl.siri.org.uk\"},\n    {\"xmlns:siri\", \"http://www.siri.org.uk/siri\"}\n  ]\n\n  def prolog do\n    ~S(<?xml version=\"1.0\" encoding=\"UTF-8\"?>)\n  end\n\n  def request_extension, do: empty_element(\"RequestExtension\", [])\n\n  def check_status(timestamp, requestor_ref, message_identifier) do\n    doc =\n      element(\"S:Envelope\", @top_level_namespaces, [\n        element(\"S:Body\", [], [\n          element(\"sw:CheckStatus\", @request_namespaces, [\n            element(\"Request\", [], [\n              element(\"siri:RequestTimestamp\", [], timestamp),\n              element(\"siri:RequestorRef\", [], requestor_ref),\n              element(\"siri:MessageIdentifier\", [], message_identifier)\n            ]),\n            request_extension()\n          ])\n        ])\n      ])\n\n    Saxy.encode!(doc)\n  end\n\n  def lines_discovery(timestamp, requestor_ref, message_identifier) do\n    doc =\n      element(\"S:Envelope\", @top_level_namespaces, [\n        element(\"S:Body\", [], [\n          element(\"sw:LinesDiscovery\", @request_namespaces, [\n            element(\"Request\", [], [\n              element(\"siri:RequestTimestamp\", [], timestamp),\n              element(\"siri:RequestorRef\", [], requestor_ref),\n              element(\"siri:MessageIdentifier\", [], message_identifier)\n            ]),\n            request_extension()\n          ])\n        ])\n      ])\n\n    Saxy.encode!(doc)\n  end\n\n  def stop_points_discovery(timestamp, requestor_ref, message_identifier) do\n    doc =\n      element(\"S:Envelope\", @top_level_namespaces, [\n        element(\"S:Body\", [], [\n          element(\"sw:StopPointsDiscovery\", @request_namespaces, [\n            element(\"Request\", [], [\n              element(\"siri:RequestTimestamp\", [], timestamp),\n              element(\"siri:RequestorRef\", [], requestor_ref),\n              element(\"siri:MessageIdentifier\", [], message_identifier)\n            ]),\n            request_extension()\n          ])\n        ])\n      ])\n\n    Saxy.encode!(doc)\n  end\n\n  def line_refs_element([] = _line_refs), do: nil\n\n  def line_refs_element(line_refs) do\n    element(\n      \"siri:Lines\",\n      [],\n      Enum.map(line_refs, fn line_ref ->\n        element(\"siri:LineDirection\", [], [\n          element(\"siri:LineRef\", [], line_ref)\n        ])\n      end)\n    )\n  end\n\n  def append_if_not_nil(list, nil), do: list\n  def append_if_not_nil(list, item), do: list ++ [item]\n\n  def get_estimated_timetable(timestamp, requestor_ref, message_identifier, line_refs) do\n    doc =\n      element(\"S:Envelope\", @top_level_namespaces, [\n        element(\"S:Body\", [], [\n          element(\"sw:GetEstimatedTimetable\", @request_namespaces, [\n            element(\"ServiceRequestInfo\", [], [\n              element(\"siri:RequestTimestamp\", [], timestamp),\n              element(\"siri:RequestorRef\", [], requestor_ref),\n              element(\"siri:MessageIdentifier\", [], message_identifier)\n            ]),\n            element(\n              \"Request\",\n              [],\n              [\n                element(\"siri:RequestTimestamp\", [], timestamp),\n                element(\"siri:MessageIdentifier\", [], message_identifier)\n              ]\n              |> append_if_not_nil(line_refs_element(line_refs))\n            ),\n            request_extension()\n          ])\n        ])\n      ])\n\n    Saxy.encode!(doc)\n  end\n\n  def get_stop_monitoring(timestamp, requestor_ref, message_identifier, stop_ref) do\n    doc =\n      element(\"S:Envelope\", @top_level_namespaces, [\n        element(\"S:Body\", [], [\n          element(\"sw:GetStopMonitoring\", @request_namespaces, [\n            element(\"ServiceRequestInfo\", [], [\n              element(\"siri:RequestTimestamp\", [], timestamp),\n              element(\"siri:RequestorRef\", [], requestor_ref),\n              element(\"siri:MessageIdentifier\", [], message_identifier)\n            ]),\n            element(\n              \"Request\",\n              [],\n              [\n                element(\"siri:RequestTimestamp\", [], timestamp),\n                element(\"siri:MessageIdentifier\", [], message_identifier),\n                element(\"siri:MonitoringRef\", [], stop_ref),\n                element(\"siri:StopVisitTypes\", [], \"all\")\n              ]\n            ),\n            request_extension()\n          ])\n        ])\n      ])\n\n    Saxy.encode!(doc)\n  end\n\n  def get_general_message(timestamp, requestor_ref, message_identifier) do\n    doc =\n      element(\"S:Envelope\", @top_level_namespaces, [\n        element(\"S:Body\", [], [\n          element(\"sw:GetGeneralMessage\", @request_namespaces, [\n            element(\"ServiceRequestInfo\", [], [\n              element(\"siri:RequestTimestamp\", [], timestamp),\n              element(\"siri:RequestorRef\", [], requestor_ref),\n              element(\"siri:MessageIdentifier\", [], message_identifier)\n            ]),\n            element(\n              \"Request\",\n              [],\n              [\n                element(\"siri:RequestTimestamp\", [], timestamp),\n                element(\"siri:MessageIdentifier\", [], message_identifier)\n              ]\n            ),\n            request_extension()\n          ])\n        ])\n      ])\n\n    Saxy.encode!(doc)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/siri_query_generator.ex",
    "content": "defmodule Transport.SIRIQueryGenerator.Behaviour do\n  @moduledoc \"\"\"\n  A behaviour to ensure we can Mox the calls to generate a query and\n  put assertions on them.\n  \"\"\"\n  @callback generate_query(map()) :: binary()\nend\n\ndefmodule Transport.SIRIQueryGenerator do\n  @moduledoc \"\"\"\n  A bridge to help convert HTML-form-based queries into method calls.\n  \"\"\"\n  def impl, do: Application.get_env(:transport, :siri_query_generator_impl, __MODULE__)\n\n  @behaviour Transport.SIRIQueryGenerator.Behaviour\n\n  @doc \"\"\"\n  A loosely-typed (via map) entry point to ensure we can generically convert\n  input parameters (such as those generated by a form). This makes sure this code\n  is mox'able and testable.\n  \"\"\"\n  @impl Transport.SIRIQueryGenerator.Behaviour\n  def generate_query(params) do\n    # extract baseline items (always required)\n    %{\n      template: template,\n      requestor_ref: requestor_ref,\n      message_id: message_id,\n      timestamp: timestamp\n    } = params\n\n    method_name = Macro.underscore(template)\n\n    # careful, we do not want to invoke a user-provided method blindly!\n    # make sure to verify the method beforehand.\n    cond do\n      method_name == \"get_estimated_timetable\" ->\n        line_refs = params |> Map.fetch!(:line_refs)\n\n        apply(Transport.SIRI, method_name |> String.to_atom(), [\n          timestamp,\n          requestor_ref,\n          message_id,\n          line_refs\n        ])\n\n      method_name == \"get_stop_monitoring\" ->\n        apply(Transport.SIRI, method_name |> String.to_atom(), [\n          timestamp,\n          requestor_ref,\n          message_id,\n          Map.fetch!(params, :stop_ref)\n        ])\n\n      method_name in [\n        \"check_status\",\n        \"lines_discovery\",\n        \"stop_points_discovery\",\n        \"get_general_message\"\n      ] ->\n        apply(Transport.SIRI, method_name |> String.to_atom(), [\n          timestamp,\n          requestor_ref,\n          message_id\n        ])\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/support/logger/translator.ex",
    "content": "defmodule Support.Logger.Translator do\n  @moduledoc \"\"\"\n  Filters but supervisor and children crashes from Erlang log messages.\n  \"\"\"\n\n  def translate(_min_level, :error, :format, _message) do\n    :none\n  end\n\n  def translate(_min_level, :error, :report, {:supervisor_report, _data}) do\n    :none\n  end\n\n  def translate(_min_level, _level, _kind, _message) do\n    :skip\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/support/pretty_json_encoder.ex",
    "content": "defmodule TransportWeb.PrettyJSONEncoder do\n  @moduledoc \"\"\"\n  An encoder that you can use to pretty-print the API JSON output\n  for easier debugging. See https://stackoverflow.com/a/38278387/20302\n  \"\"\"\n\n  def encode_to_iodata!(data) do\n    Jason.encode_to_iodata!(data, pretty: true)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/support/proxy.ex",
    "content": "defmodule Transport.Proxy do\n  @moduledoc \"\"\"\n  Module to helper deal with proxy items coming from the Unlock proxy.\n  \"\"\"\n  def base_url(conn) do\n    conn\n    |> TransportWeb.Router.Helpers.url()\n    |> String.replace(\"127.0.0.1\", \"localhost\")\n    |> String.replace(\"://\", \"://proxy.\")\n  end\n\n  def resource_url(base_url, slug) do\n    Path.join(\n      base_url,\n      Unlock.Router.Helpers.resource_path(TransportWeb.Endpoint, :fetch, slug)\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/application.ex",
    "content": "defmodule Transport.Application do\n  require Logger\n\n  @moduledoc \"\"\"\n  See https://hexdocs.pm/elixir/Application.html\n  for more information on OTP Applications\n  \"\"\"\n\n  use Application\n  use Task\n  import Cachex.Spec\n  alias Transport.{CachedFiles, DatasetIndex, ImportDataWorker, SearchCommunes}\n  alias TransportWeb.Endpoint\n\n  @cache_name :transport\n  # for DRY external reference\n  def cache_name, do: @cache_name\n\n  def start(_type, _args) do\n    if worker_enabled?() or webserver_enabled?() do\n      Logger.info(\"Booting in #{boot_mode_label()} mode...\")\n    end\n\n    children =\n      [\n        DB.Repo,\n        {Cachex, name: @cache_name},\n        TransportWeb.Endpoint,\n        ImportDataWorker,\n        CachedFiles,\n        SearchCommunes,\n        DatasetIndex,\n        {Phoenix.PubSub, [name: TransportWeb.PubSub, adapter: Phoenix.PubSub.PG2]},\n        TransportWeb.Presence,\n        # Oban is \"always started\", but muted via `config/runtime.exs` for cases like\n        # tests, IEx usage, front-end only mode etc.\n        {Oban, Application.fetch_env!(:transport, Oban)},\n        Transport.PhoenixDashboardTelemetry,\n        Transport.Vault,\n        {Finch, name: Unlock.Finch},\n        Supervisor.child_spec(\n          {Cachex,\n           name: Unlock.Cachex,\n           expiration: expiration(default: :timer.seconds(Unlock.Shared.default_cache_expiration_seconds()))},\n          id: :unlock_cachex\n        ),\n        Unlock.BatchMetrics,\n        Unlock.DynamicIRVESupervisor\n      ]\n      |> add_quantum_scheduler()\n      |> add_if(fn -> run_explore_vehicle_positions_poller?() end, Transport.ExploreVehiclePositionsPoller)\n      |> add_if(fn -> preemptive_caching?() end, Transport.PreemptiveHomeStatsCache)\n      |> add_if(fn -> preemptive_caching?() end, Transport.PreemptiveAPICache)\n      |> add_if(fn -> preemptive_caching?() end, Transport.PreemptiveStatsCache)\n      |> add_if(fn -> enforce_ttl?() end, Unlock.EnforceTTL)\n      ## manually add a children supervisor that is not scheduled\n      |> Kernel.++([{Task.Supervisor, name: ImportTaskSupervisor}])\n\n    :ok = Transport.Jobs.ObanLogger.setup()\n\n    :ok = Transport.Telemetry.setup()\n    :ok = Transport.AppSignal.EctoTelemetry.setup()\n\n    LoggerBackends.add(Sentry.LoggerBackend)\n\n    opts = [strategy: :one_for_one, name: Transport.Supervisor]\n    Supervisor.start_link(children, opts)\n  end\n\n  defp boot_mode_label do\n    cond do\n      worker_only?() -> \"worker-only\"\n      webserver_only?() -> \"webserver-only\"\n      dual_mode?() -> \"worker+webserver\"\n    end\n  end\n\n  def webserver_enabled?, do: Application.fetch_env!(:transport, :webserver)\n  def worker_enabled?, do: Application.fetch_env!(:transport, :worker)\n  def worker_only?, do: worker_enabled?() && !webserver_enabled?()\n  def webserver_only?, do: webserver_enabled?() && !worker_enabled?()\n  def dual_mode?, do: worker_enabled?() && webserver_enabled?()\n\n  def run_explore_vehicle_positions_poller?,\n    do: webserver_enabled?() && Application.fetch_env!(:transport, :explore_vehicle_positions_poller_enabled)\n\n  def preemptive_caching?,\n    do: webserver_enabled?() && Application.fetch_env!(:transport, :app_env) in [:production, :staging]\n\n  defp add_if(children, condition, child) do\n    if condition.() do\n      children ++ [child]\n    else\n      children\n    end\n  end\n\n  defp add_quantum_scheduler(children) do\n    if Application.fetch_env!(:transport, :quantum_scheduler_enabled) do\n      [Transport.QuantumScheduler | children]\n    else\n      children\n    end\n  end\n\n  defp enforce_ttl?, do: Application.fetch_env!(:transport, :unlock_enforce_ttl)\n\n  def config_change(changed, _new, removed) do\n    Endpoint.config_change(changed, removed)\n    :ok\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/appsignal_ecto_telemetry.ex",
    "content": "defmodule Transport.AppSignal.EctoTelemetry do\n  require Logger\n\n  @moduledoc \"\"\"\n  A module receiving Ecto events and forwarding them (currently) to AppSignal, so that we can\n  chart the pool occupancy.\n\n  References:\n  * https://hexdocs.pm/ecto/Ecto.Repo.html#module-telemetry-events\n  * https://github.com/appsignal/appsignal-elixir/issues/318#issuecomment-841156779 (inspiration)\n  * https://elixirforum.com/t/how-to-deal-with-detached-telemetry-handlers-caused-by-errors/56069/2\n  * https://github.com/appsignal/appsignal-elixir/issues/887 (which ensures calls are fast & mostly safe)\n\n  A few notes extracted from the doc (with extra comments):\n  * `:idle_time` - the time the connection spent waiting before being checked out for the query.\n                 the higher the better ; if this gets low (close to 0), the pool is over-used (not good).\n  * `:queue_time` - the time spent waiting to check out a database connection.\n                  the lower the better. if this gets too high, the pool is over-used (not good).\n  * `:query_time` - the time spent executing the query.\n\n  We do not track the following metrics for now, because they are less useful for pool optimization:\n  * `:decode_time` - the time spent decoding the data received from the database\n  * `:total_time` - the sum of (queue_time, query_time, and decode_time)️\n\n  It must be noted that handlers are running inline, and that they can be \"detached\" in case of errors.\n\n  In the case of this implementation, the risk is just losing metrics, which is acceptable, plus the way\n  AppSignal works (see above discussions) makes this risk not very likely to occur.\n  \"\"\"\n\n  def handle_event([:db, :repo, :query], measurements, _metadata, _config) do\n    #\n    # NOTE: at time of writing, at AppSignal, \"Custom metrics do not count towards your plan.\n    # Only requests and logging. Custom metrics are included.\".\n    #\n    # If we need to reduce the volume of metrics (for billing or ops reasons), it appears that\n    # Oban emits roughly 5 calls every 500ms in development at least (setting `WORKER=0` removes those events).\n    # If this is a problem, we can probably filter a part of them via metadata[:options][:oban_conf] which\n    # appears to be there, but for now I believe this gives useful information too.\n    #\n\n    case measurements do\n      %{queue_time: queue_time} ->\n        Appsignal.add_distribution_value(\"ecto.queue_time\", System.convert_time_unit(queue_time, :native, :millisecond))\n\n      _ ->\n        nil\n    end\n\n    case measurements do\n      %{idle_time: idle_time} ->\n        Appsignal.add_distribution_value(\"ecto.idle_time\", System.convert_time_unit(idle_time, :native, :millisecond))\n\n      _ ->\n        nil\n    end\n\n    case measurements do\n      %{query_time: query_time} ->\n        Appsignal.add_distribution_value(\"ecto.query_time\", System.convert_time_unit(query_time, :native, :millisecond))\n\n      _ ->\n        nil\n    end\n  end\n\n  def setup do\n    Logger.info(\"Setting up telemetry for our custom AppSignal's Ecto integration\")\n\n    :telemetry.attach(\n      \"transport-appsignal-ecto\",\n      # NOTE: the first two params are I believe mapped to `DB.Repo`\n      [:db, :repo, :query],\n      &Transport.AppSignal.EctoTelemetry.handle_event/4,\n      nil\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/availability_checker.ex",
    "content": "defmodule Transport.AvailabilityChecker.Wrapper do\n  @moduledoc \"\"\"\n  Defines a behavior\n  \"\"\"\n\n  @callback available?(binary(), binary()) :: boolean\n  def impl, do: Application.get_env(:transport, :availability_checker_impl)\n  def available?(resource_format, url), do: impl().available?(resource_format, url)\nend\n\ndefmodule Transport.AvailabilityChecker.Dummy do\n  @moduledoc \"\"\"\n  A dummy module where everything is always available\n  \"\"\"\n  @behaviour Transport.AvailabilityChecker.Wrapper\n\n  @impl Transport.AvailabilityChecker.Wrapper\n  def available?(_, _), do: true\nend\n\ndefmodule Transport.AvailabilityChecker do\n  @moduledoc \"\"\"\n  A module used to check if a remote file is \"available\" through a GET a request.\n  Gives a response even if remote server does not support HEAD requests (405 response)\n  \"\"\"\n  alias HTTPoison.Response\n\n  @behaviour Transport.AvailabilityChecker.Wrapper\n\n  @impl Transport.AvailabilityChecker.Wrapper\n  @spec available?(binary(), binary()) :: boolean\n  def available?(format, target, use_http_streaming \\\\ false)\n\n  def available?(format, url, _) when is_binary(url) and format in [\"SIRI\", \"SIRI Lite\"] do\n    case http_client().get(url, [], follow_redirect: true) do\n      {:ok, %Response{status_code: code}} when (code >= 200 and code < 300) or code in [401, 405] ->\n        true\n\n      # At least one SIRI server returns a 500 despite being reachable and returning proper SOAP.\n      # Accept it, until we implement the better `CheckStatus` SIRI availability check.\n      # https://github.com/etalab/transport-site/issues/4283\n      {:ok, %Response{status_code: 500, body: body}} ->\n        body |> String.downcase() |> String.contains?(\"soap:envelope\")\n\n      # Bug affecting Hackney (dependency of HTTPoison)\n      # 303 status codes on `GET` requests should be fine but they're returned as errors\n      # https://github.com/edgurgel/httpoison/issues/171#issuecomment-244029927\n      # https://github.com/etalab/transport-site/issues/3463\n      {:error, %HTTPoison.Error{reason: {:invalid_redirection, _}}} ->\n        # NOTE: this does not actually verifies that the target is available at the moment!\n        true\n\n      _ ->\n        false\n    end\n  end\n\n  def available?(format, url, false) when is_binary(url) do\n    options = [follow_redirect: true]\n    # Hot-fix for https://github.com/etalab/transport-site/issues/4122\n    # Least intrusive fix, only pass `force_redirection` to `HTTPoison` if the param value is true, else\n    # do not specify it, to avoid side-effect.\n    # See: https://github.com/benoitc/hackney/blob/eca5fbb1ff2d84facefb2a633e00f6ca16e7ddfd/src/hackney_stream.erl#L173\n    # Google Drive content (1 instance at time of writing) returns a 303, and by default `hackney` only allows\n    # POST method for this, but here HEAD/GET are supported and required. By using `force_redirection` in `hackney`\n    # options, this indicated `hackney` that the redirect should still occur.\n    options =\n      if URI.parse(url).host == \"drive.google.com\" do\n        options |> Keyword.merge(hackney: [force_redirect: true])\n      else\n        options\n      end\n\n    case http_client().head(url, [], options) do\n      # See https://developer.mozilla.org/en-US/docs/Web/HTTP/Status#successful_responses\n      # Other 2xx status codes don't seem appropriate here\n      {:ok, %Response{status_code: 200}} ->\n        true\n\n      {:ok, %Response{status_code: code}} when code in [401, 403, 405] ->\n        available?(format, url, _use_http_streaming = true)\n\n      _ ->\n        false\n    end\n  end\n\n  def available?(_format, url, true = _use_http_streaming) do\n    case HTTPStreamV2.fetch_status_follow_redirect(url) do\n      {:ok, 200} -> true\n      _ -> false\n    end\n  end\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/cache.ex",
    "content": "defmodule Transport.Cache do\n  @moduledoc \"\"\"\n  This behaviour defines the API for caching, with alternative implementations.\n  \"\"\"\n  @callback fetch(cache_key :: binary(), fun(), integer()) :: any\n\n  def fetch(cache_key, comp_fn, expire_value \\\\ :timer.seconds(60)), do: impl().fetch(cache_key, comp_fn, expire_value)\n\n  @callback put(cache_key :: binary(), any(), integer()) :: {:ok | :error, boolean()}\n\n  def put(cache_key, value, expire_value \\\\ :timer.seconds(60)), do: impl().put(cache_key, value, expire_value)\n\n  @callback delete(cache_key :: binary()) :: {:ok | :error, boolean()}\n\n  def delete(cache_key), do: impl().delete(cache_key)\n\n  defp impl, do: Application.get_env(:transport, :cache_impl)\nend\n\ndefmodule Transport.Cache.Cachex do\n  @moduledoc \"\"\"\n  Cache utility for transport\n  \"\"\"\n  @behaviour Transport.Cache\n\n  require Logger\n\n  @doc \"\"\"\n  Run the `value_fn` function, caching the result in Cachex with the provided `cache_key`.\n\n  Any error occurring inside the `value_fn` function will be propagated to the caller.\n\n  In case of technical error (unlikely) inside Cachex, the `value_fn` will be evaluated\n  without caching, in a kind of degraded mode, so that we can still serve the request.\n\n  Useful notes to understand the :commit/:ok/:error/:ignore stuff:\n  * https://github.com/whitfin/cachex/blob/836578ec452bfa6eba3c3159123cccdc9038127e/lib/cachex/services/courier.ex#L73-L78\n  * https://github.com/whitfin/cachex/blob/836578ec452bfa6eba3c3159123cccdc9038127e/lib/cachex/actions.ex#L85\n  * https://github.com/whitfin/cachex/issues/252\n  \"\"\"\n  def fetch(cache_key, value_fn, expire_value \\\\ :timer.seconds(60)) do\n    # The computation function must adhere to the `Cachex.fetch` contract (see links above)\n    comp_fn = fn key ->\n      Logger.info(\"Generating cached value for key #{key}\")\n\n      try do\n        {:commit, value_fn.(), expire: expire_value}\n      rescue\n        e ->\n          # NOTE: if an error occurs inside the value_fn computation, then\n          # we want to track it down specifically and re-raise, without\n          # re-calling the value function\n          {:error, {:computation_error, e, __STACKTRACE__}}\n      end\n    end\n\n    outcome = Cachex.fetch(cache_name(), cache_key, comp_fn)\n\n    case outcome do\n      {:ok, result} ->\n        Logger.info(\"Value for key #{cache_key} served from cache\")\n        result\n\n      {:commit, result} ->\n        Logger.info(\"Value for key #{cache_key} regenerated\")\n        result\n\n      {:ignore, _} ->\n        # NOTE: should normally not happen, due to how the code is structured, but kept for clarity\n        raise \"Ignore mode is not supported\"\n\n      {:error, error} ->\n        case error do\n          {:computation_error, computation_error, computation_error_stacktrace} ->\n            Logger.error(\"The computation function failed during cached query for key #{cache_key}. Re-raising.\")\n            reraise(computation_error, computation_error_stacktrace)\n\n          _ ->\n            # here we assume we have a technical (cache-oriented) error, and we'll try to evaluate the function again\n            Logger.error(\n              \"Cache error #{error |> inspect} while handling key #{cache_key} - attempting to evaluate without cache\"\n            )\n\n            # NOTE: if this occurs, we'll need to propagate \"result\" into it, instead of hiding the underlying details,\n            # but I'm not 100% sure how to do it reliably yet\n            Sentry.capture_message(\"unable_to_reach_cache\")\n            value_fn.()\n        end\n    end\n  end\n\n  def put(cache_key, value, expire_value \\\\ :timer.seconds(60)) do\n    Cachex.put(\n      cache_name(),\n      cache_key,\n      value,\n      expire: expire_value\n    )\n  end\n\n  def delete(cache_key), do: Cachex.del(cache_name(), cache_key)\n\n  def cache_name, do: Transport.Application.cache_name()\nend\n\ndefmodule Transport.Cache.Null do\n  @moduledoc \"\"\"\n  A non-caching cache to be used by tests mostly.\n  \"\"\"\n  @behaviour Transport.Cache\n\n  def fetch(_cache_key, value_fn, _expire_value), do: value_fn.()\n\n  def put(_cache_key, _value, _expire_value), do: {:ok, true}\n\n  def delete(_cache_key), do: {:ok, true}\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/cached_files.ex",
    "content": "defmodule Transport.CachedFiles do\n  @moduledoc \"\"\"\n  Reads various CSV and JSON files and caches them in memory.\n\n  This module provides a centralized cache for static file contents that are\n  frequently accessed throughout the application. Files are loaded once at\n  startup and kept in memory for fast access.\n  \"\"\"\n  use Agent\n\n  def start_link(_params) do\n    Agent.start_link(fn -> load_documents() end, name: __MODULE__)\n  end\n\n  @spec facilitators :: [binary()]\n  def facilitators do\n    Agent.get(__MODULE__, & &1.facilitators)\n  end\n\n  @spec zfe_ids :: [binary()]\n  def zfe_ids do\n    Agent.get(__MODULE__, & &1.zfe_ids)\n  end\n\n  @spec gbfs_operators :: [binary()]\n  def gbfs_operators do\n    Agent.get(__MODULE__, & &1.gbfs_operators)\n  end\n\n  def static_irve_schema do\n    Agent.get(__MODULE__, & &1.static_irve_schema)\n  end\n\n  def dynamic_irve_schema do\n    Agent.get(__MODULE__, & &1.dynamic_irve_schema)\n  end\n\n  @spec load_documents :: map()\n  defp load_documents do\n    %{\n      facilitators: read_csv(\"facilitators.csv\"),\n      zfe_ids: read_csv(\"zfe_ids.csv\"),\n      gbfs_operators: read_csv(\"gbfs_operators.csv\"),\n      static_irve_schema: read_json(\"schema-irve-statique.json\"),\n      dynamic_irve_schema: read_json(\"schema-irve-dynamique.json\")\n    }\n  end\n\n  @spec read_csv(binary()) :: [[binary()]]\n  defp read_csv(filename) do\n    (Application.app_dir(:transport, \"priv\") <> \"/#{filename}\")\n    |> File.stream!()\n    |> CSV.decode(separator: ?;, headers: true, validate_row_length: true)\n    |> Enum.filter(fn\n      {:ok, _} -> true\n      _ -> false\n    end)\n    |> Enum.map(fn {_, array} -> array end)\n  end\n\n  @spec read_json(binary()) :: map()\n  def read_json(filename) do\n    __DIR__\n    |> Path.join(\"../../../shared/meta/\" <> filename)\n    |> Path.expand()\n    |> File.read!()\n    |> Jason.decode!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/comments_checker.ex",
    "content": "defmodule Transport.CommentsChecker do\n  @moduledoc \"\"\"\n  Check for new comments posted on data.gouv.fr for datasets referenced on the PAN.\n\n  Send an email to contacts with a subscription to the `daily_new_comments` reason\n  with the new comments and a link to them.\n  \"\"\"\n  alias Datagouvfr.Client.Discussions\n  alias DB.{Dataset, Repo}\n  import Ecto.Query\n  require Logger\n\n  @type datagouv_id :: binary()\n  @type title :: binary()\n  @type datagouv_comment :: map()\n  @type comments_with_context :: {%Dataset{}, datagouv_id(), title(), [datagouv_comment()]}\n\n  @notification_reason Transport.NotificationReason.reason(:daily_new_comments)\n\n  def check_for_new_comments do\n    comments_with_context = fetch_new_comments()\n    number_new_comments = comments_with_context |> count_comments()\n    handle_new_comments(number_new_comments, comments_with_context)\n\n    number_new_comments\n  end\n\n  @spec fetch_new_comments :: [comments_with_context()]\n  def fetch_new_comments do\n    Enum.map(relevant_datasets(), fn %{datagouv_id: datagouv_id, latest_data_gouv_comment_timestamp: current_ts} =\n                                       dataset ->\n      comments =\n        datagouv_id\n        |> Discussions.get()\n        |> add_discussion_id_to_comments()\n        |> comments_posted_after(current_ts)\n\n      title = get_dataset_title(datagouv_id)\n\n      {dataset, datagouv_id, title, comments}\n    end)\n  end\n\n  @spec relevant_datasets() :: [DB.Dataset.t()]\n  def relevant_datasets do\n    DB.Dataset.base_query()\n    |> select([:id, :datagouv_id, :latest_data_gouv_comment_timestamp])\n    |> DB.Repo.all()\n  end\n\n  @spec count_comments([comments_with_context()]) :: integer\n  def count_comments(comments_with_context) do\n    comments_with_context\n    |> Enum.reduce(0, fn {_, _, _, comments}, acc -> acc + Enum.count(comments) end)\n  end\n\n  @spec handle_new_comments(integer(), [comments_with_context()]) :: :ok\n  def handle_new_comments(0 = _comments_number, _comments) do\n    Logger.info(\"no new comment posted since last check\")\n  end\n\n  def handle_new_comments(comments_number, comments) do\n    Logger.info(\"#{comments_number} new comment(s), sending emails\")\n\n    # Notifications for reusers are handled by `NewCommentsNotificationJob`\n    DB.NotificationSubscription.subscriptions_for_reason_and_role(@notification_reason, :producer)\n    |> Enum.each(fn %DB.NotificationSubscription{contact: %DB.Contact{} = contact} = subscription ->\n      {:ok, _} =\n        Transport.UserNotifier.new_comments_producer(contact, comments_number, comments) |> Transport.Mailer.deliver()\n\n      save_notification(comments, subscription)\n    end)\n\n    update_all_datasets_ts(comments)\n\n    :ok\n  end\n\n  def save_notification(comments_with_context, %DB.NotificationSubscription{} = subscription) do\n    dataset_ids =\n      comments_with_context\n      |> Enum.reject(fn {%Dataset{}, _datagouv_id, _title, comments} -> Enum.empty?(comments) end)\n      |> Enum.map(fn {%Dataset{id: dataset_id}, _datagouv_id, _title, _comments} -> dataset_id end)\n\n    DB.Notification.insert!(subscription, %{dataset_ids: dataset_ids})\n  end\n\n  @spec update_all_datasets_ts([comments_with_context()]) :: []\n  def update_all_datasets_ts(comments_with_context) do\n    comments_with_context\n    |> Enum.map(fn {dataset, _datagouv_id, _title, comments} ->\n      comments\n      |> comments_latest_timestamp()\n      |> case do\n        nil ->\n          nil\n\n        datetime ->\n          update_dataset_ts(dataset, datetime)\n      end\n    end)\n  end\n\n  @spec update_dataset_ts(Dataset.t(), DateTime.t()) :: {:ok, any()} | {:error, any()}\n  def update_dataset_ts(dataset, timestamp) do\n    changeset_request = Ecto.Changeset.change(dataset, %{latest_data_gouv_comment_timestamp: timestamp})\n    update = Repo.update(changeset_request)\n\n    with {:error, _changeset} <- update do\n      Sentry.capture_message(\"unable_to_update_dataset_comment_timestamp\",\n        extra: %{id: dataset.id}\n      )\n    end\n\n    update\n  end\n\n  defp get_dataset_title(datagouv_id) do\n    Dataset\n    |> where([d], d.datagouv_id == ^datagouv_id)\n    |> select([d], d.custom_title)\n    |> Repo.one()\n  end\n\n  def comment_timestamp(comment) do\n    comment\n    |> Map.get(\"posted_on\")\n    |> DateTime.from_iso8601()\n    |> case do\n      {:ok, %DateTime{} = datetime, 0} -> datetime |> DateTime.truncate(:second)\n      _ -> nil\n    end\n  end\n\n  def comments_latest_timestamp(nil), do: nil\n  def comments_latest_timestamp([]), do: nil\n\n  def comments_latest_timestamp(comments) when is_list(comments) do\n    case comments do\n      [comment] ->\n        comment_timestamp(comment)\n\n      [c | comments] ->\n        latest_datetime(comment_timestamp(c), comments_latest_timestamp(comments))\n    end\n  end\n\n  defp latest_datetime(%DateTime{} = date1, %DateTime{} = date2) do\n    Enum.max([date1, date2], DateTime)\n  end\n\n  def comments_posted_after(discussions, nil) do\n    discussions |> Enum.flat_map(fn d -> d[\"discussion\"] end)\n  end\n\n  def comments_posted_after(discussions, timestamp) do\n    discussions\n    |> Enum.flat_map(fn d -> d[\"discussion\"] end)\n    |> Enum.filter(fn comment -> DateTime.diff(comment_timestamp(comment), timestamp) >= 1 end)\n  end\n\n  def add_discussion_id_to_comments(discussions) do\n    discussions\n    |> Enum.map(fn discussion ->\n      discussion_id = discussion |> Map.get(\"id\")\n      comments = discussion |> Map.get(\"discussion\")\n\n      updated_comments = comments |> Enum.map(fn comment -> Map.put(comment, \"discussion_id\", discussion_id) end)\n\n      %{discussion | \"discussion\" => updated_comments}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/community_resource_cleaner.ex",
    "content": "defmodule Transport.CommunityResourcesCleaner do\n  @moduledoc \"\"\"\n  A module used to clean orphan community resources.\n  When we (transport team) have created community resources from official resources, we need to delete\n  the created resources if the parent official resource has been deleted from data.gouv.fr by its producer.\n  For the moment, it only concerns GTFS resources (converted to geojson and NeTEx, but it could change in the\n  future).\n\n  Update : for the moment, the PAN is not publishing community resources anymore. In case it happens again in\n  the future, this code may be used again.\n  \"\"\"\n  alias DB.{Dataset, Repo}\n  import Ecto.Query\n  require Logger\n\n  def transport_publisher_label do\n    Application.fetch_env!(:transport, :datagouvfr_transport_publisher_label)\n  end\n\n  def clean_community_resources do\n    result =\n      list_orphan_community_resources()\n      |> delete_resources()\n      |> Enum.frequencies_by(fn {r, _} -> r end)\n\n    with %{error: error_n} <- result do\n      Logger.warning(\"#{error_n} community resources were listed as orphans but could not be deleted\")\n    end\n\n    ok_n = Map.get(result, :ok, 0)\n\n    Logger.info(\n      \"#{ok_n} community resources were successfully deleted because their parent resource didn't exist anymore\"\n    )\n\n    {:ok, ok_n}\n  end\n\n  @spec delete_resources([%{dataset_id: binary(), resource_id: binary()}]) :: [%{}]\n  def delete_resources(resources) do\n    resources\n    |> Enum.map(fn %{\n                     dataset_datagouv_id: dataset_datagouv_id,\n                     resource_datagouv_id: resource_datagouv_id\n                   } ->\n      Datagouvfr.Client.CommunityResources.delete(dataset_datagouv_id, resource_datagouv_id)\n    end)\n  end\n\n  def list_orphan_community_resources do\n    Dataset\n    |> preload(:resources)\n    |> Repo.all()\n    |> Enum.flat_map(fn d -> list_orphan_community_resources(d) end)\n  end\n\n  def list_orphan_community_resources(dataset) do\n    resources_url =\n      dataset.resources\n      |> Enum.map(fn r -> r.url end)\n\n    dataset.resources\n    |> Enum.filter(fn r ->\n      r.is_community_resource == true and\n        r.community_resource_publisher == transport_publisher_label()\n    end)\n    |> Enum.reject(fn r -> resources_url |> Enum.member?(r.original_resource_url) end)\n    |> Enum.map(fn r ->\n      %{\n        dataset_datagouv_id: dataset.datagouv_id,\n        resource_datagouv_id: r.datagouv_id,\n        dataset_id: dataset.id,\n        resource_id: r.id\n      }\n    end)\n  end\n\n  # this function is written to be launched manually once\n  # and will delete all GeoJSON and NeTEx community resources\n  # published by the PAN on data.gouv.fr\n  # see https://github.com/etalab/transport-site/issues/2096\n  def delete_transport_community_resources do\n    result =\n      list_transport_community_resources()\n      |> delete_resources()\n      |> Enum.frequencies_by(fn {r, _} -> r end)\n\n    with %{error: error_n} <- result do\n      Logger.warning(\"#{error_n} transport community resources could not be deleted\")\n    end\n\n    ok_n = Map.get(result, :ok, 0)\n\n    Logger.info(\"#{ok_n} transport community resources were successfully deleted\")\n\n    {:ok, ok_n}\n  end\n\n  def list_transport_community_resources do\n    Dataset\n    |> preload(:resources)\n    |> Repo.all()\n    |> Enum.flat_map(fn d -> list_transport_community_resources(d) end)\n  end\n\n  def list_transport_community_resources(dataset) do\n    dataset.resources\n    |> Enum.filter(fn r ->\n      r.is_community_resource == true and\n        r.community_resource_publisher == transport_publisher_label() and r.format in [\"geojson\", \"NeTEx\"] and\n        String.contains?(r.description, \"automatique\")\n    end)\n    |> Enum.map(fn r ->\n      %{\n        dataset_datagouv_id: dataset.datagouv_id,\n        resource_datagouv_id: r.datagouv_id,\n        dataset_id: dataset.id,\n        resource_id: r.id\n      }\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/companies.ex",
    "content": "defmodule Transport.Companies do\n  @moduledoc \"\"\"\n  An HTTP client for the \"Recherche d'entreprises API\"\n  See the documentation: https://api.gouv.fr/documentation/api-recherche-entreprises\n  ⚠️ rate limit is 7 requests per second, watch out if you're using this in a batch job.\n  See a sample response:\n  https://recherche-entreprises.api.gouv.fr/search?q=420495178\n  \"\"\"\n\n  # `mtm_campaign`: https://github.com/etalab/transport-site/issues/3902\n  @endpoint URI.new!(\"https://recherche-entreprises.api.gouv.fr/search?mtm_campaign=transport-data-gouv-fr\")\n\n  @doc \"\"\"\n  Find a company registered in France using its SIREN or one of its SIRET number.\n  If you provide a SIRET number, it will search using its SIREN number\n  and **will not** check that the establishment is currently active.\n  \"\"\"\n  @spec by_siren_or_siret(binary()) :: {:ok, map()} | {:error, atom()}\n  def by_siren_or_siret(siren_or_siret) do\n    cond do\n      is_valid_siren?(siren_or_siret) -> by_siren(siren_or_siret)\n      is_valid_siret?(siren_or_siret) -> siren_or_siret |> siret_to_siren() |> by_siren()\n      true -> {:error, :invalid_siren_siret_format}\n    end\n  end\n\n  @doc \"\"\"\n  Find a company registered in France using its SIREN number.\n  \"\"\"\n  @spec by_siren(binary()) :: {:ok, map()} | {:error, atom()}\n  def by_siren(siren) do\n    find_siren = fn result -> if result[\"siren\"] == siren, do: {:ok, result} end\n\n    if is_valid_siren?(siren) do\n      case search(%{\"q\" => siren}) do\n        {:ok, json} ->\n          json\n          |> Map.get(\"results\", [])\n          |> Enum.find_value({:error, :result_not_found}, find_siren)\n\n        {:error, _} = error_details ->\n          error_details\n      end\n    else\n      {:error, :invalid_siren_format}\n    end\n  end\n\n  @doc \"\"\"\n  Call the \"Recherche d'entreprises API\" with the specified params.\n  See the documentation for available params: https://api.gouv.fr/documentation/api-recherche-entreprises\n  \"\"\"\n  @spec search(map()) :: {:ok, map()} | {:error, atom()}\n  def search(%{} = params) do\n    case params |> build_url() |> http_client().get() do\n      {:ok, %HTTPoison.Response{status_code: 404}} ->\n        {:error, :not_found}\n\n      {:ok, %HTTPoison.Response{status_code: 200, body: body}} ->\n        {:ok, body |> Jason.decode!()}\n\n      {:ok, %HTTPoison.Response{}} ->\n        {:error, :invalid_http_response}\n\n      {:error, %HTTPoison.Error{}} ->\n        {:error, :http_error}\n    end\n  end\n\n  @doc \"\"\"\n  iex> build_url(%{\"q\" => \"420495178\"})\n  %URI{\n    host: \"recherche-entreprises.api.gouv.fr\",\n    path: \"/search\",\n    port: 443,\n    query: \"mtm_campaign=transport-data-gouv-fr&q=420495178\",\n    scheme: \"https\"\n  }\n  \"\"\"\n  def build_url(%{} = uri_params) do\n    @endpoint |> URI.append_query(URI.encode_query(uri_params))\n  end\n\n  @doc \"\"\"\n  Check if a SIREN appears to be valid: expected length and valid Luhn checksum.\n\n  iex> is_valid_siren?(\"420495178\")\n  true\n  iex> is_valid_siren?(\"420495179\")\n  false\n  iex> is_valid_siren?(\"foo\")\n  false\n  iex> is_valid_siren?(\"42049517800014\")\n  false\n  \"\"\"\n  def is_valid_siren?(siren) when is_binary(siren) do\n    String.match?(siren, ~r/^\\d{9}$/) and Luhn.valid?(siren)\n  end\n\n  @doc \"\"\"\n  Check if a SIRET appears to be valid: expected length and valid Luhn checksum.\n\n  iex> is_valid_siret?(\"420495178\")\n  false\n  iex> is_valid_siret?(\"foo\")\n  false\n  iex> is_valid_siret?(\"42049517800014\")\n  true\n  iex> is_valid_siret?(\"42049517800015\")\n  false\n  \"\"\"\n  def is_valid_siret?(siret) when is_binary(siret) do\n    String.match?(siret, ~r/^\\d{14}$/) and Luhn.valid?(siret)\n  end\n\n  @doc \"\"\"\n  iex> siret_to_siren(\"42049517800015\")\n  \"420495178\"\n  \"\"\"\n  def siret_to_siren(siret), do: String.slice(siret, 0..8)\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/consolidated_dataset.ex",
    "content": "defmodule Transport.ConsolidatedDataset do\n  @moduledoc \"\"\"\n  A module to hold configuration of the datasets used in geodata queries and access them easily.\n  \"\"\"\n\n  import Ecto.Query\n\n  @config %{\n    irve: %{dataset_type: \"charging-stations\", publisher: :datagouvfr},\n    bnlc: %{dataset_type: \"carpooling-areas\", publisher: :transport},\n    zfe: %{dataset_type: \"road-data\", publisher: :transport}\n  }\n\n  @available_datasets @config |> Map.keys()\n\n  def geo_data_datasets do\n    # For now, every consolidated dataset here has geographical features imported in the geo_data table\n    @available_datasets\n  end\n\n  def dataset(name) when name in @available_datasets do\n    publisher_id = @config |> get_in([name, :publisher]) |> publisher_id()\n    dataset_type = @config |> get_in([name, :dataset_type])\n\n    DB.Dataset.base_query()\n    |> preload(:resources)\n    |> where([d], d.type == ^dataset_type and d.organization_id == ^publisher_id)\n    |> additional_ecto_query(name)\n    |> DB.Repo.one!()\n  end\n\n  def resource(name) do\n    [resource] =\n      dataset(name)\n      |> DB.Dataset.official_resources()\n      |> filter_official_resources(name)\n\n    resource\n  end\n\n  defp additional_ecto_query(query, :zfe) do\n    %{dataset_id: datagouv_id} = Map.fetch!(Application.fetch_env!(:transport, :consolidation), :zfe)\n    query |> where([d], d.datagouv_id == ^datagouv_id)\n  end\n\n  defp additional_ecto_query(q, _), do: q\n\n  # Following filters have been moved from previous code but are fragile\n  # There should be a better and more unified way to be sure we find the right official resource\n  defp filter_official_resources(resources, :bnlc) do\n    Enum.filter(resources, fn %DB.Resource{datagouv_id: datagouv_id} -> datagouv_id == bnlc_resource_id() end)\n  end\n\n  defp filter_official_resources(resources, :irve) do\n    irve_resource_id = irve_resource_id()\n    Enum.filter(resources, &match?(%DB.Resource{datagouv_id: ^irve_resource_id, format: \"csv\"}, &1))\n  end\n\n  defp filter_official_resources(resources, :zfe) do\n    Enum.filter(resources, &(&1.title == \"aires.geojson\"))\n  end\n\n  defp publisher_id(:datagouvfr) do\n    Application.fetch_env!(:transport, :datagouvfr_publisher_id)\n  end\n\n  defp publisher_id(:transport) do\n    Application.fetch_env!(:transport, :datagouvfr_transport_publisher_id)\n  end\n\n  defp bnlc_resource_id do\n    %{resource_id: bnlc_resource_id} = Map.fetch!(Application.fetch_env!(:transport, :consolidation), :bnlc)\n    bnlc_resource_id\n  end\n\n  defp irve_resource_id do\n    %{resource_id: irve_resource_id} = Map.fetch!(Application.fetch_env!(:transport, :consolidation), :irve)\n    irve_resource_id\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/counter_cache.ex",
    "content": "defmodule Transport.CounterCache do\n  @moduledoc \"\"\"\n  This module is responsible for updating the `counter_cache` field of the `resources` table.\n  \"\"\"\n\n  import Ecto.Query\n\n  @doc \"\"\"\n  Take all the (GTFS) resources with at least one associated GTFS metadata, and\n  update the `counter_cache` columns with modes and features information.\n  This is done to avoid costly runtime joins.\n  \"\"\"\n  def cache_modes_features_on_resources do\n    resources_with_metadata()\n    |> prepare_update_values()\n    |> DB.Repo.all()\n    |> apply_all_updates!()\n  end\n\n  # Build the query to retrieve one line per \"resource <-> metadata\" with its dataset (for GTFS resources only).\n  @spec resources_with_metadata :: Ecto.Query.t()\n  defp resources_with_metadata do\n    DB.Dataset.base_query()\n    |> DB.Dataset.join_from_dataset_to_metadata(Transport.Validators.GTFSTransport.validator_name())\n  end\n\n  # Prepare a list of maps compatible with a bulk values update (https://hexdocs.pm/ecto/Ecto.Query.API.html#values/2)\n  @spec prepare_update_values(Ecto.Query.t()) :: Ecto.Query.t()\n  defp prepare_update_values(query) do\n    query\n    |> select([resource: r, metadata: m], %{\n      resource_id: r.id,\n      resource_gtfs_modes: m.modes,\n      resource_gtfs_features: m.features\n    })\n  end\n\n  # Given a list of planned updates, for each resource, in batch, update the `counter_cache`\n  # field to contain a JSONB map with `gtfs_modes` and `gtfs_features` array.\n  #\n  # Example of SQL generated:\n  # ```sql\n  # UPDATE \"resource\" AS r\n  # SET \"counter_cache\" = jsonb_build_object('gtfs_modes', v.\"resource_gtfs_modes\")\n  # FROM (\n  #   VALUES (ARRAY['tramway'], 80705), (ARRAY['bus', 'funicular'], 80223)\n  # ) AS v (\"resource_gtfs_modes\", \"resource_id\")\n  # WHERE r.\"id\" = v.\"resource_id\";\n  # ```\n  @type update_resource_modes_list :: [%{resource_id: integer(), resource_gtfs_modes: [String.t()]}]\n  @spec apply_all_updates!(update_resource_modes_list) :: any()\n  defp apply_all_updates!(updates) do\n    types = %{resource_id: :integer, resource_gtfs_modes: {:array, :string}, resource_gtfs_features: {:array, :string}}\n\n    from(r in DB.Resource,\n      join: u in values(updates, types),\n      on: r.id == u.resource_id,\n      update: [\n        set: [\n          counter_cache:\n            fragment(\n              \"jsonb_build_object('gtfs_modes', ?, 'gtfs_features', ?)\",\n              u.resource_gtfs_modes,\n              u.resource_gtfs_features\n            )\n        ]\n      ]\n    )\n    |> DB.Repo.update_all([])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/custom_search_message.ex",
    "content": "defmodule Transport.CustomSearchMessage do\n  @moduledoc \"\"\"\n  Some specific dataset search results have a custom text displayed.\n  See for example https://transport.data.gouv.fr/datasets?type=public-transit&filter=has_realtime\n  This module loads the custom message content from priv/search_custom_messages.yml\n  \"\"\"\n\n  # loading happens at compile time\n  @messages :transport\n            |> Application.app_dir(\"priv\")\n            |> Kernel.<>(\"/search_custom_messages.yml\")\n            |> File.read!()\n            |> YamlElixir.read_from_string!()\n\n  def get_messages, do: @messages\n\n  @doc \"\"\"\n  Given a query parameters and a locale, returns the custom message content\n  \"\"\"\n  @spec get_message(map(), binary()) :: binary() | nil\n  def get_message(query_params, locale) do\n    get_messages() |> filter_messages(query_params, locale)\n  end\n\n  @spec filter_messages(list(), map(), binary()) :: binary() | nil\n  def filter_messages(messages, query_params, locale) do\n    messages\n    |> Enum.find(&message_matches_query?(query_params, &1))\n    |> case do\n      %{\"msg\" => %{^locale => msg_content}} -> msg_content\n      _ -> nil\n    end\n  end\n\n  @doc \"\"\"\n  we have found a message matching a query if all the message search parameters are in the query.\n\n  iex> Transport.CustomSearchMessage.message_matches_query?(%{\"type\" => \"bus\", \"locale\" => \"en\"}, %{\"search_params\" => [%{\"key\" => \"type\", \"value\" => \"bus\"}]})\n  true\n  iex> Transport.CustomSearchMessage.message_matches_query?(%{\"type\" => \"bus\", \"locale\" => \"en\"}, %{\"search_params\" => [%{\"key\" => \"type\", \"value\" => \"bus\"}, %{\"key\" => \"modes\", \"value\" => \"xxx\"}]})\n  false\n  \"\"\"\n\n  def message_matches_query?(query_params, %{\"search_params\" => message_search_params} = _messages) do\n    message_search_params\n    |> Enum.all?(fn %{\"key\" => msg_key, \"value\" => msg_value} ->\n      case Map.fetch(query_params, msg_key) do\n        {:ok, query_value} -> query_value == msg_value\n        :error -> false\n      end\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/data_checker.ex",
    "content": "defmodule Transport.DataChecker do\n  @moduledoc \"\"\"\n  Use to check data for toggling on and off active status of datasets depending on status on data.gouv.fr\n  \"\"\"\n  alias DB.{Dataset, Repo}\n  import Ecto.Query\n  require Logger\n\n  @type dataset_status :: :active | :inactive | :ignore | :no_producer | {:archived, DateTime.t()}\n\n  @doc \"\"\"\n  This method is a scheduled job which does two things:\n  - locally re-activates disabled datasets which are actually active on data gouv\n  - locally disables datasets which are actually inactive on data gouv\n\n  It also sends an email to the team via `fmt_inactive_datasets` and `fmt_reactivated_datasets`.\n  \"\"\"\n  def inactive_data do\n    # Some datasets marked as inactive in our database may have reappeared\n    # on the data gouv side, we'll mark them back as active.\n    datasets_statuses = datasets_datagouv_statuses()\n\n    to_reactivate_datasets = for {%Dataset{is_active: false} = dataset, :active} <- datasets_statuses, do: dataset\n\n    reactivated_ids = Enum.map(to_reactivate_datasets, & &1.id)\n\n    Dataset\n    |> where([d], d.id in ^reactivated_ids)\n    |> Repo.update_all(set: [is_active: true])\n\n    # Some datasets marked as active in our database may have disappeared\n    # on the data gouv side, mark them as inactive.\n    current_nb_active_datasets = Repo.aggregate(Dataset.base_query(), :count, :id)\n\n    inactive_datasets =\n      for {%DB.Dataset{is_active: true} = dataset, status} <- datasets_statuses,\n          status in [:inactive, :no_producer],\n          do: dataset\n\n    inactive_ids = Enum.map(inactive_datasets, & &1.id)\n    desactivates_over_10_percent_datasets = Enum.count(inactive_datasets) > current_nb_active_datasets * 10 / 100\n\n    if desactivates_over_10_percent_datasets do\n      raise \"Would desactivate over 10% of active datasets, stopping\"\n    end\n\n    Dataset\n    |> where([d], d.id in ^inactive_ids)\n    |> Repo.update_all(set: [is_active: false])\n\n    # Some datasets may be archived on data.gouv.fr\n    recent_limit = DateTime.add(DateTime.utc_now(), -1, :day)\n\n    archived_datasets =\n      for {%Dataset{is_active: true} = dataset, {:archived, datetime}} <- datasets_statuses,\n          DateTime.compare(datetime, recent_limit) == :gt,\n          do: dataset\n\n    send_inactive_datasets_mail(to_reactivate_datasets, inactive_datasets, archived_datasets)\n  end\n\n  @spec datasets_datagouv_statuses :: [{DB.Dataset.t(), dataset_status()}]\n  def datasets_datagouv_statuses do\n    DB.Dataset\n    |> order_by(:id)\n    |> DB.Repo.all()\n    |> Enum.map(&{&1, dataset_status(&1)})\n  end\n\n  @spec dataset_status(DB.Dataset.t()) :: dataset_status()\n  def dataset_status(%DB.Dataset{datagouv_id: datagouv_id}) do\n    case Datagouvfr.Client.Datasets.get(datagouv_id) do\n      {:ok, %{\"organization\" => nil, \"owner\" => nil}} ->\n        :no_producer\n\n      {:ok, %{\"archived\" => nil}} ->\n        :active\n\n      {:ok, %{\"archived\" => archived}} ->\n        {:ok, datetime, 0} = DateTime.from_iso8601(archived)\n        {:archived, datetime}\n\n      {:error, %HTTPoison.Error{} = error} ->\n        log_sentry_event(datagouv_id, error)\n        :ignore\n\n      {:error, reason} when reason in [:not_found, :gone] ->\n        :inactive\n\n      {:error, error} ->\n        log_sentry_event(datagouv_id, error)\n        :ignore\n    end\n  end\n\n  defp log_sentry_event(datagouv_id, error) do\n    Sentry.capture_message(\n      \"Unable to get dataset status for Dataset##{datagouv_id} from data.gouv.fr\",\n      fingerprint: [\"#{__MODULE__}:dataset_status:error\"],\n      extra: %{dataset_datagouv_id: datagouv_id, error_reason: inspect(error)}\n    )\n  end\n\n  # Do nothing if all lists are empty\n  defp send_inactive_datasets_mail([] = _reactivated_datasets, [] = _inactive_datasets, [] = _archived_datasets),\n    do: nil\n\n  defp send_inactive_datasets_mail(reactivated_datasets, inactive_datasets, archived_datasets) do\n    Transport.AdminNotifier.inactive_datasets(reactivated_datasets, inactive_datasets, archived_datasets)\n    |> Transport.Mailer.deliver()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/dataset_checks.ex",
    "content": "defmodule Transport.DatasetChecks do\n  @moduledoc \"\"\"\n  Provides functions to evaluate the health and status of `DB.Dataset` resources.\n\n  This module focuses on the following checks:\n  1. **Availability**: Identifying resources that are currently offline or unavailable.\n  2. **Expiration**: Identifying resources whose validity period is nearing its end based on\n     the latest validation metadata.\n  3. **Validity**: Identifying resources which are not valid\n  4. **Unanswered discussion**: Identifying discussions that have not been answered in the\n     the last 30 days.\n  \"\"\"\n  use Gettext, backend: TransportWeb.Gettext\n\n  @expire_days_ahead 7\n  @unanswered_discussion_since_days 30\n  @recent_discussions_days 7\n\n  @gtfs_rt_validator Transport.Validators.GTFSRT.validator_name()\n\n  @type validation_list :: [DB.MultiValidation.t()]\n  @type resource_with_validations :: {DB.Resource.t(), validation_list()}\n  @type validation_map :: %{required(integer()) => [DB.MultiValidation.t()] | nil}\n  @type check_result_producer :: %{\n          unavailable_resource: [DB.Resource.t()],\n          expiring_resource: [resource_with_validations()],\n          invalid_resource: [resource_with_validations()],\n          unanswered_discussions: [map()]\n        }\n\n  @type check_result_reuser :: %{\n          unavailable_resource: [DB.Resource.t()],\n          expiring_resource: [resource_with_validations()],\n          invalid_resource: [resource_with_validations()],\n          recent_discussions: [map()]\n        }\n  @spec check(DB.Dataset.t(), :producer | :reuser) :: check_result_producer() | check_result_reuser()\n  def check(%DB.Dataset{} = dataset, mode) do\n    dataset = DB.Repo.preload(dataset, :resources)\n\n    validations =\n      DB.MultiValidation.dataset_latest_validation(\n        dataset.id,\n        Transport.ValidatorsSelection.validators_for_feature(:dataset_checks),\n        include_result: true\n      )\n\n    case mode do\n      :producer ->\n        %{\n          unavailable_resource: unavailable_resource(dataset),\n          expiring_resource: expiring_resource(dataset, validations),\n          invalid_resource: invalid_resource(dataset, validations),\n          unanswered_discussions: unanswered_discussions(dataset)\n        }\n\n      :reuser ->\n        %{\n          unavailable_resource: unavailable_resource(dataset),\n          expiring_resource: expiring_resource(dataset, validations),\n          invalid_resource: invalid_resource(dataset, validations),\n          recent_discussions: recent_discussions(dataset)\n        }\n    end\n  end\n\n  def issue_name(:unavailable_resource), do: dgettext(\"espace-producteurs\", \"unavailable_resource\")\n  def issue_name(:expiring_resource), do: dgettext(\"espace-producteurs\", \"expiring_resource\")\n  def issue_name(:invalid_resource), do: dgettext(\"espace-producteurs\", \"invalid_resource\")\n  def issue_name(:unanswered_discussions), do: dgettext(\"espace-producteurs\", \"unanswered_discussions\")\n  def issue_name(:recent_discussions), do: dgettext(\"espace-producteurs\", \"recent_discussions\")\n\n  @spec has_issues?(check_result_producer() | check_result_reuser()) :: boolean()\n  def has_issues?(result), do: count_issues(result) >= 1\n\n  @spec count_issues(check_result_producer() | check_result_reuser()) :: non_neg_integer()\n  def count_issues(result) do\n    result |> Map.values() |> Enum.flat_map(fn x -> x end) |> Enum.count()\n  end\n\n  @spec unavailable_resource(DB.Dataset.t()) :: [DB.Resource.t()]\n  def unavailable_resource(%DB.Dataset{resources: resources}) do\n    Enum.filter(resources, &(not &1.is_available))\n  end\n\n  @spec invalid_resource(DB.Dataset.t(), validation_map()) :: [resource_with_validations()]\n  def invalid_resource(%DB.Dataset{} = dataset, validations) do\n    dataset\n    |> keep_validations(validations)\n    |> Enum.filter(fn {%DB.Resource{}, [mv | _]} ->\n      case mv do\n        %DB.MultiValidation{validator: @gtfs_rt_validator} = mv ->\n          Transport.Validators.GTFSRT.critical_errors?(mv)\n\n        %DB.MultiValidation{digest: %{\"max_severity\" => %{\"max_level\" => severity}}}\n        when severity in [\"Error\", \"ERROR\", \"Fatal\"] ->\n          true\n\n        %DB.MultiValidation{digest: %{\"errors_count\" => errors_count}} when errors_count > 0 ->\n          true\n\n        _ ->\n          false\n      end\n    end)\n  end\n\n  @spec expiring_resource(DB.Dataset.t(), validation_map()) :: [resource_with_validations()]\n  def expiring_resource(%DB.Dataset{} = dataset, validations) do\n    dataset\n    |> keep_validations(validations)\n    |> Enum.filter(fn {%DB.Resource{}, [mv | _]} ->\n      case DB.MultiValidation.get_metadata_info(mv, \"end_date\") do\n        nil -> false\n        date -> date |> Date.from_iso8601!() |> Date.diff(Date.utc_today()) <= @expire_days_ahead\n      end\n    end)\n  end\n\n  @spec unanswered_discussions(DB.Dataset.t()) :: [map()]\n  def unanswered_discussions(%DB.Dataset{} = dataset) do\n    team_member_ids = team_member_ids(dataset)\n\n    Datagouvfr.Client.Discussions.Wrapper.get(dataset.datagouv_id)\n    |> Enum.reject(&closed_discussion?/1)\n    |> Enum.filter(fn discussion -> discussion_since(discussion, @unanswered_discussion_since_days) end)\n    |> Enum.reject(&answered_by_team_member(&1, team_member_ids))\n  end\n\n  @spec recent_discussions(DB.Dataset.t()) :: [map()]\n  def recent_discussions(%DB.Dataset{} = dataset) do\n    Datagouvfr.Client.Discussions.Wrapper.get(dataset.datagouv_id)\n    |> Enum.filter(fn discussion -> discussion_since(discussion, @recent_discussions_days) end)\n  end\n\n  def closed_discussion?(%{\"closed\" => closed}), do: not is_nil(closed)\n\n  def discussion_since(%{\"discussion\" => comment_list}, since_days) do\n    latest_comment_datetime =\n      comment_list\n      |> Enum.map(fn comment ->\n        {:ok, comment_datetime, 0} = DateTime.from_iso8601(comment[\"posted_on\"])\n        comment_datetime\n      end)\n      |> Enum.max(DateTime)\n\n    month_ago = DateTime.utc_now() |> DateTime.add(-since_days, :day)\n    Date.after?(latest_comment_datetime, month_ago)\n  end\n\n  def answered_by_team_member(%{\"discussion\" => comment_list}, team_member_ids) do\n    %{\"posted_by\" => %{\"id\" => author_id}} = comment_list |> List.last()\n    author_id in team_member_ids\n  end\n\n  defp team_member_ids(%DB.Dataset{organization_id: organization_id}) do\n    case Datagouvfr.Client.Organization.Wrapper.get(organization_id, restrict_fields: true) do\n      {:ok, %{\"members\" => members}} ->\n        Enum.map(members, fn member -> member[\"user\"][\"id\"] end)\n\n      _ ->\n        []\n    end\n  end\n\n  defp keep_validations(%DB.Dataset{} = dataset, validations) do\n    dataset.resources |> Enum.map(&{&1, validations[&1.id]}) |> Enum.reject(fn {_, mv} -> is_nil(mv) end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/dataset_index.ex",
    "content": "defmodule Transport.DatasetIndex do\n  @moduledoc \"\"\"\n  A GenServer that builds and maintains an in-memory index of datasets.\n\n  Used for filtering, sorting and computing facets (type, licence, real-time,\n  region, resource formats, subtypes, modes, offers) without hitting the database.\n\n  The index is refreshed every 30 minutes.\n  \"\"\"\n  use GenServer\n  import Ecto.Query\n\n  @refresh_interval :timer.minutes(30)\n\n  @licences_ouvertes ~w(fr-lo lov2)\n  @param_filter_keys ~w(type subtype licence filter format region custom_tag organization_id modes identifiant_offre)\n\n  def start_link(_opts) do\n    GenServer.start_link(__MODULE__, %{}, name: __MODULE__)\n  end\n\n  @spec get :: map()\n  def get do\n    GenServer.call(__MODULE__, :get)\n  end\n\n  @impl true\n  def init(state) do\n    schedule_refresh(0)\n    {:ok, state}\n  end\n\n  @impl true\n  def handle_info(:tick, _state) do\n    state = build_index()\n    schedule_refresh()\n    {:noreply, state}\n  end\n\n  @impl true\n  def handle_call(:get, _from, state) do\n    {:reply, state, state}\n  end\n\n  @impl true\n  def handle_call(:refresh, _from, _state) do\n    state = build_index()\n    {:reply, :ok, state}\n  end\n\n  @doc \"\"\"\n  Force a synchronous refresh of the index. Useful for tests.\n  \"\"\"\n  @spec refresh :: :ok\n  def refresh do\n    GenServer.call(__MODULE__, :refresh)\n  end\n\n  defp schedule_refresh(delay \\\\ @refresh_interval) do\n    Process.send_after(self(), :tick, delay)\n  end\n\n  # --- Facet computation ---\n\n  @doc \"\"\"\n  Compute subtypes facet counts from the index for the given dataset IDs,\n  filtered to entries matching `parent_type`.\n\n  Returns `%{all: total, subtypes: [%{subtype: slug, count: count, msg: label}]}`.\n  `all` is the number of datasets matching `parent_type` (not the sum of per-subtype counts,\n  since a dataset can have multiple subtypes).\n  \"\"\"\n  @spec subtypes(map(), [integer()], binary()) :: %{\n          all: non_neg_integer(),\n          subtypes: [%{subtype: binary(), count: non_neg_integer(), msg: binary()}]\n        }\n  def subtypes(index, dataset_ids, parent_type) do\n    entries =\n      index\n      |> entries_for(dataset_ids)\n      |> Enum.filter(&(&1.type == parent_type))\n\n    subtypes =\n      entries\n      |> Enum.flat_map(& &1.subtypes)\n      |> Enum.frequencies()\n      |> Enum.map(fn {slug, count} -> %{subtype: slug, count: count, msg: DB.Dataset.subtype_to_str(slug)} end)\n\n    %{all: length(entries), subtypes: subtypes}\n  end\n\n  @doc \"\"\"\n  Compute type facet counts from the index for the given dataset IDs.\n\n  Returns a list of `%{type: type, count: count}` maps.\n  \"\"\"\n  @spec types(map(), [integer()]) :: [%{type: binary(), count: non_neg_integer(), msg: binary()}]\n  def types(index, dataset_ids) do\n    index\n    |> entries_for(dataset_ids)\n    |> Enum.group_by(& &1.type)\n    |> Enum.map(fn {type, entries} -> %{type: type, count: length(entries), msg: DB.Dataset.type_to_str(type)} end)\n  end\n\n  @doc \"\"\"\n  Compute licence facet counts from the index for the given dataset IDs.\n\n  Groups `fr-lo` and `lov2` into `licence-ouverte`.\n  Returns a list of `%{licence: licence, count: count}` maps, with `licence-ouverte` first.\n  \"\"\"\n  @spec licences(map(), [integer()]) :: [%{licence: binary(), count: non_neg_integer()}]\n  def licences(index, dataset_ids) do\n    index\n    |> entries_for(dataset_ids)\n    |> Enum.group_by(&normalize_licence(&1.licence))\n    |> Enum.map(fn {licence, entries} -> %{licence: licence, count: length(entries)} end)\n    |> Enum.sort_by(&Map.get(%{\"licence-ouverte\" => 1}, &1.licence, 0), :desc)\n  end\n\n  @doc \"\"\"\n  Compute real-time facet counts from the index for the given dataset IDs.\n\n  Returns `%{all: total_count, true: realtime_count}`.\n  \"\"\"\n  @spec realtime_count(map(), [integer()]) :: %{all: non_neg_integer(), true: non_neg_integer()}\n  def realtime_count(index, dataset_ids) do\n    entries = entries_for(index, dataset_ids)\n\n    %{\n      all: length(entries),\n      true: Enum.count(entries, & &1.has_realtime)\n    }\n  end\n\n  @doc \"\"\"\n  Compute resource format facet counts from the index for the given dataset IDs.\n\n  Returns a keyword list sorted by count (descending), with an `:all` key for the total\n  number of datasets that have at least one format.\n  \"\"\"\n  @spec resource_format_count(map(), [integer()]) :: [{atom() | binary(), non_neg_integer()}]\n  def resource_format_count(index, dataset_ids) do\n    entries = entries_for(index, dataset_ids)\n\n    format_counts =\n      entries\n      |> Enum.flat_map(& &1.formats)\n      |> Enum.frequencies()\n\n    %{all: Enum.count(entries, &(&1.formats != []))}\n    |> Map.merge(format_counts)\n    |> Enum.sort_by(fn {_, count} -> count end, :desc)\n  end\n\n  @doc \"\"\"\n  Compute region facet counts from the index for the given dataset IDs.\n\n  Returns a list of `%{nom: name, insee: insee, count: count}` maps ordered by name.\n  Includes all regions (even those with count 0).\n  \"\"\"\n  @spec regions(map(), [integer()]) :: [%{nom: binary(), insee: binary(), count: non_neg_integer()}]\n  def regions(index, dataset_ids) do\n    region_counts =\n      index\n      |> entries_for(dataset_ids)\n      |> Enum.reject(&is_nil(&1.region_id))\n      |> Enum.group_by(&{&1.region_id, &1.region_name, &1.region_insee})\n      |> Map.new(fn {{id, _name, _insee}, entries} -> {id, length(entries)} end)\n\n    all_regions()\n    |> Enum.map(fn %{id: id, nom: nom, insee: insee} ->\n      %{nom: nom, insee: insee, count: Map.get(region_counts, id, 0)}\n    end)\n    |> Enum.sort_by(& &1.nom)\n  end\n\n  # --- Filtering ---\n\n  @doc \"\"\"\n  Filter dataset IDs from the index based on the given params.\n\n  Supported filters: type, subtype, licence, filter (has_realtime), format,\n  region, custom_tag, organization_id, modes, identifiant_offre.\n  \"\"\"\n  @spec filter_dataset_ids(map(), map()) :: [integer()]\n  def filter_dataset_ids(index, params) do\n    # Pre-select only the filter keys whose param is present and non-empty,\n    # so we don't check every filter for every entry.\n    active_filters =\n      for key <- @param_filter_keys,\n          (val = Map.get(params, key)) not in [nil, \"\"],\n          do: {key, val}\n\n    index\n    |> Enum.filter(fn {_id, entry} ->\n      Enum.all?(active_filters, fn {key, val} -> match_param?(key, entry, val) end)\n    end)\n    |> Enum.map(fn {id, _entry} -> id end)\n  end\n\n  defp match_param?(\"type\", entry, type), do: entry.type == type\n  defp match_param?(\"subtype\", entry, subtype), do: subtype in entry.subtypes\n\n  defp match_param?(\"licence\", entry, \"licence-ouverte\"), do: entry.licence in @licences_ouvertes\n  defp match_param?(\"licence\", entry, licence), do: entry.licence == licence\n\n  defp match_param?(\"filter\", entry, \"has_realtime\"), do: entry.has_realtime\n  defp match_param?(\"filter\", _entry, _other), do: true\n\n  defp match_param?(\"format\", entry, format), do: format in entry.formats\n  defp match_param?(\"region\", entry, region), do: entry.region_insee == region\n  defp match_param?(\"custom_tag\", entry, tag), do: tag in entry.custom_tags\n  defp match_param?(\"organization_id\", entry, org_id), do: to_string(entry.organization_id) == to_string(org_id)\n\n  defp match_param?(\"modes\", _entry, modes) when not is_list(modes) or modes == [], do: true\n  defp match_param?(\"modes\", entry, modes), do: Enum.all?(modes, &(&1 in entry.modes))\n\n  defp match_param?(\"identifiant_offre\", entry, id) do\n    parsed = if is_binary(id), do: String.to_integer(id), else: id\n    parsed in entry.offer_ids\n  end\n\n  # --- Sorting ---\n\n  @doc \"\"\"\n  Sort dataset IDs in memory based on the given params.\n\n  - `order_by=alpha`: sort by custom_title ASC\n  - `order_by=most_recent`: sort by inserted_at DESC (nulls last)\n  - No `q` param: sort by \"base nationale\" priority, then population DESC, then custom_title ASC\n  - With `q` param: no in-memory sort (fulltext ranking stays in DB)\n  \"\"\"\n  @spec order_dataset_ids([integer()], map(), map()) :: [integer()]\n  def order_dataset_ids(dataset_ids, index, %{\"order_by\" => \"alpha\"}) do\n    Enum.sort_by(dataset_ids, fn id -> (index[id].custom_title || \"\") |> String.downcase() end)\n  end\n\n  def order_dataset_ids(dataset_ids, index, %{\"order_by\" => \"most_recent\"}) do\n    Enum.sort_by(\n      dataset_ids,\n      fn id ->\n        case index[id].inserted_at do\n          nil -> {0, nil}\n          dt -> {1, DateTime.to_iso8601(dt)}\n        end\n      end,\n      :desc\n    )\n  end\n\n  def order_dataset_ids(dataset_ids, _index, %{\"q\" => _q}), do: dataset_ids\n\n  def order_dataset_ids(dataset_ids, index, _params) do\n    pan_publisher = Application.fetch_env!(:transport, :datagouvfr_transport_publisher_id)\n\n    Enum.sort_by(dataset_ids, fn id -> default_sort_key(index[id], pan_publisher) end)\n  end\n\n  defp default_sort_key(entry, pan_publisher) do\n    base_nationale =\n      if to_string(entry.organization_id) == pan_publisher and\n           is_binary(entry.custom_title) and\n           entry.custom_title |> String.downcase() |> String.starts_with?(\"base nationale\") do\n        0\n      else\n        1\n      end\n\n    {base_nationale, -(entry.population || 0), (entry.custom_title || \"\") |> String.downcase()}\n  end\n\n  # --- Index building ---\n\n  @doc false\n  @spec build_index :: map()\n  def build_index do\n    datasets =\n      DB.Dataset.base_query()\n      |> DB.Dataset.reject_archived_datasets()\n      |> preload([:resources, :dataset_subtypes, :offers])\n      |> DB.Repo.all()\n\n    region_mapping = build_region_mapping()\n\n    Map.new(datasets, fn dataset -> {dataset.id, build_entry(dataset, region_mapping)} end)\n  end\n\n  defp build_entry(dataset, region_mapping) do\n    region = Map.get(region_mapping, dataset.id)\n\n    %{\n      type: dataset.type,\n      licence: dataset.licence,\n      has_realtime: dataset.has_realtime,\n      region_id: if(region, do: region.id),\n      region_name: if(region, do: region.nom),\n      region_insee: if(region, do: region.insee),\n      formats: DB.Dataset.formats(dataset),\n      subtypes: Enum.map(dataset.dataset_subtypes, & &1.slug),\n      custom_tags: dataset.custom_tags || [],\n      organization_id: dataset.organization_id,\n      population: dataset.population,\n      custom_title: dataset.custom_title,\n      inserted_at: dataset.inserted_at,\n      datagouv_title: dataset.datagouv_title,\n      modes: extract_modes(dataset),\n      offer_ids: Enum.map(dataset.offers, & &1.identifiant_offre)\n    }\n  end\n\n  defp extract_modes(%DB.Dataset{} = dataset) do\n    dataset\n    |> DB.Dataset.official_resources()\n    |> Enum.flat_map(fn r -> get_in(r, [Access.key(:counter_cache), Access.key(\"gtfs_modes\")]) || [] end)\n    |> Enum.uniq()\n  end\n\n  # --- Helpers ---\n\n  defp all_regions do\n    DB.Region\n    |> select([r], %{id: r.id, nom: r.nom, insee: r.insee})\n    |> DB.Repo.all()\n  end\n\n  defp entries_for(index, dataset_ids) do\n    index |> Map.take(dataset_ids) |> Map.values()\n  end\n\n  defp normalize_licence(licence) do\n    if licence in @licences_ouvertes, do: \"licence-ouverte\", else: licence\n  end\n\n  @spec build_region_mapping :: map()\n  defp build_region_mapping do\n    DB.DatasetGeographicView\n    |> join(:inner, [dgv], r in DB.Region, on: dgv.region_id == r.id)\n    |> select([dgv, r], {dgv.dataset_id, %{id: r.id, nom: r.nom, insee: r.insee}})\n    |> DB.Repo.all()\n    |> Map.new()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/expiration.ex",
    "content": "defmodule Transport.Expiration do\n  @moduledoc \"\"\"\n  Shared utilities for expiration notification jobs.\n\n  Centralizes delays configuration, date calculations, public transit dataset queries,\n  and French delay string formatting.\n\n  Used by:\n  - `Transport.Jobs.ExpirationNotificationJob` (all expiration notifications)\n  - `Transport.AdminNotifier` and `Transport.UserNotifier` (email formatting)\n  \"\"\"\n  import Ecto.Query\n\n  @type delay :: integer()\n  @type dataset_ids :: [integer()]\n\n  # Delays for reusers (daily digest)\n  @reuser_delays [-30, -7, 0, 7, 14]\n  # Delays for producers/admins (more granular notifications)\n  @producer_admin_delays [-90, -60, -45, -30, -15, -7, -3, 0, 7, 14]\n\n  @doc \"\"\"\n  Returns the list of delays used for reuser expiration notifications.\n\n  ## Example\n      iex> reuser_delays()\n      [-30, -7, 0, 7, 14]\n  \"\"\"\n  @spec reuser_delays() :: [delay()]\n  def reuser_delays, do: @reuser_delays\n\n  @doc \"\"\"\n  Returns the sorted list of delays used for producer/admin expiration notifications.\n\n  ## Example\n      iex> producer_admin_delays()\n      [-90, -60, -45, -30, -15, -7, -3, 0, 7, 14]\n  \"\"\"\n  @spec producer_admin_delays() :: [delay()]\n  def producer_admin_delays, do: @producer_admin_delays |> Enum.uniq() |> Enum.sort()\n\n  @doc \"\"\"\n  Calculates a map of delays to their corresponding dates.\n\n  ## Example\n      iex> delays_and_dates(~D[2024-05-21], [-7, 0, 7])\n      %{-7 => ~D[2024-05-14], 0 => ~D[2024-05-21], 7 => ~D[2024-05-28]}\n  \"\"\"\n  @spec delays_and_dates(Date.t(), [delay()]) :: %{delay() => Date.t()}\n  def delays_and_dates(%Date{} = date, delays) do\n    Map.new(delays, fn delay -> {delay, Date.add(date, delay)} end)\n  end\n\n  @doc \"\"\"\n  Returns a human-readable French string describing the delay.\n\n  The `verb` argument handles singular (:périmant) vs plural (:périment) forms.\n\n  ## Examples\n      iex> delay_str(0, :périmant)\n      \"périmant demain\"\n      iex> delay_str(2, :périmant)\n      \"périmant dans 2 jours\"\n      iex> delay_str(-1, :périmant)\n      \"périmé depuis hier\"\n      iex> delay_str(-1, :périment)\n      \"sont périmées depuis hier\"\n      iex> delay_str(-2, :périment)\n      \"sont périmées depuis 2 jours\"\n  \"\"\"\n  @spec delay_str(delay(), :périmant | :périment) :: String.t()\n  def delay_str(0, verb), do: \"#{verb} demain\"\n  def delay_str(1, verb), do: \"#{verb} dans 1 jour\"\n  def delay_str(d, verb) when d >= 2, do: \"#{verb} dans #{d} jours\"\n  def delay_str(-1, :périmant), do: \"périmé depuis hier\"\n  def delay_str(-1, :périment), do: \"sont périmées depuis hier\"\n  def delay_str(d, :périmant) when d <= -2, do: \"périmés depuis #{-d} jours\"\n  def delay_str(d, :périment) when d <= -2, do: \"sont périmées depuis #{-d} jours\"\n\n  @doc \"\"\"\n  Convenience function for singular form (`:périmant`).\n\n  ## Examples\n      iex> delay_str(0)\n      \"périmant demain\"\n      iex> delay_str(-1)\n      \"périmé depuis hier\"\n      iex> delay_str(-2)\n      \"périmés depuis 2 jours\"\n  \"\"\"\n  @spec delay_str(delay()) :: String.t()\n  def delay_str(delay), do: delay_str(delay, :périmant)\n\n  @doc \"\"\"\n  Base query for datasets with either GTFS or NeTEx resources with expiration metadata.\n\n  Joins datasets to their metadata using validators configured for expiration notifications,\n  and filters to GTFS and NeTEx resources only.\n  \"\"\"\n  @spec public_transit_with_expiration_metadata_query() :: Ecto.Query.t()\n  def public_transit_with_expiration_metadata_query do\n    validators = Transport.ValidatorsSelection.validators_for_feature(:expiration_notification)\n    validator_names = Enum.map(validators, & &1.validator_name())\n\n    DB.Dataset.base_query()\n    |> DB.Dataset.join_from_dataset_to_metadata(validator_names)\n    |> where([resource: r], r.format in [\"GTFS\", \"NeTEx\"])\n  end\n\n  @doc \"\"\"\n  Returns dataset IDs grouped by delay for datasets expiring on target dates.\n\n  Used by `ExpirationNotificationJob` for reuser digests.\n\n  ## Example output\n      %{-7 => [468, 600], 0 => [656, 919, 790, 931]}\n  \"\"\"\n  @spec datasets_expiring_by_delay(Date.t(), [delay()]) :: %{delay() => dataset_ids()}\n  def datasets_expiring_by_delay(%Date{} = reference_date, delays) do\n    delays_map = delays_and_dates(reference_date, delays)\n    dates_to_delays = Map.new(delays_map, fn {delay, date} -> {date, delay} end)\n    target_dates = Map.values(delays_map)\n\n    public_transit_with_expiration_metadata_query()\n    |> where([metadata: m], fragment(\"TO_DATE(?->>'end_date', 'YYYY-MM-DD')\", m.metadata) in ^target_dates)\n    |> select([dataset: d, metadata: m], %{\n      dataset_id: d.id,\n      end_date: fragment(\"TO_DATE(?->>'end_date', 'YYYY-MM-DD')\", m.metadata)\n    })\n    |> distinct(true)\n    |> DB.Repo.all()\n    |> Enum.group_by(\n      fn %{end_date: end_date} -> Map.fetch!(dates_to_delays, end_date) end,\n      fn %{dataset_id: dataset_id} -> dataset_id end\n    )\n  end\n\n  @doc \"\"\"\n  Returns datasets and their resources expiring on a specific date.\n\n  Used by `ExpirationNotificationJob` for producer/admin notifications.\n\n  Returns a list of tuples `{dataset, [resources]}` sorted by dataset ID.\n  \"\"\"\n  @spec datasets_with_resources_expiring_on(Date.t()) :: [{DB.Dataset.t(), [DB.Resource.t()]}]\n  def datasets_with_resources_expiring_on(%Date{} = date) do\n    public_transit_with_expiration_metadata_query()\n    |> where([metadata: m], fragment(\"TO_DATE(?->>'end_date', 'YYYY-MM-DD')\", m.metadata) == ^date)\n    |> select([dataset: d, resource: r], {d, r})\n    |> distinct(true)\n    |> DB.Repo.all()\n    |> Enum.group_by(fn {dataset, _} -> dataset end, fn {_, resource} -> resource end)\n    |> Enum.to_list()\n    |> Enum.sort_by(&elem(&1, 0).id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/explore_vehicle_positions_poller.ex",
    "content": "defmodule Transport.ExploreVehiclePositionsPoller do\n  @moduledoc \"\"\"\n  Polls vehicle positions from active GTFS-RT feeds and broadcasts them via\n  PubSub on the Explore channel, feeding the realtime vehicle map.\n  \"\"\"\n  use GenServer\n  import Ecto.Query\n  require Logger\n\n  # NOTE: at time of writing, the code will not result into `:tick` events stacking\n  # up in the mailbox, because the code is synchronously waiting for all requests to finish.\n  # if going asynchronous, though, it will be important to flush multiple `:tick` messages,\n  # to avoid overload.\n  @tick_frequency 5_000\n  @http_timeout 10_000\n\n  def init(state) do\n    # initial schedule is immediate, but via the same code path,\n    # to ensure we jump on the data\n    schedule_next_tick(0)\n\n    {:ok, state}\n  end\n\n  def start_link(_opts) do\n    GenServer.start_link(__MODULE__, %{})\n  end\n\n  def schedule_next_tick(delay \\\\ @tick_frequency) do\n    Process.send_after(self(), :tick, delay)\n  end\n\n  # separated here so that we can filter if we want\n  def relevant_resources do\n    DB.Resource\n    |> where(format: \"gtfs-rt\", is_available: true)\n    |> preload(:dataset)\n    |> DB.Repo.all()\n    |> Enum.filter(& &1.dataset.is_active)\n    |> Enum.map(&{&1.id, &1.url})\n  end\n\n  def handle_info(:tick, state) do\n    schedule_next_tick()\n    count = viewers_count()\n\n    if count > 0 do\n      Logger.info(\"Processing (#{count} viewers connected)\")\n      process()\n    end\n\n    {:noreply, state}\n  end\n\n  def viewers do\n    TransportWeb.Presence\n    |> Phoenix.Presence.list(TransportWeb.ExploreChannel.explore_topic())\n    |> get_in([TransportWeb.ExploreChannel.viewers_key(), :metas])\n  end\n\n  def viewers_count do\n    case viewers() do\n      nil -> 0\n      list when is_list(list) -> list |> length()\n    end\n  end\n\n  def process do\n    task = fn {resource_id, resource_url} ->\n      Logger.debug(\"Processing #{resource_id}...\")\n\n      outcome =\n        try do\n          positions =\n            resource_id\n            |> fetch_vehicle_positions_safely(resource_url)\n\n          %{vehicle_positions: positions}\n        rescue\n          # NOTE: out of precaution, I'm not forwarding the full exception to the client at the moment\n          e ->\n            Logger.error(e)\n            %{error: true}\n        end\n\n      %{resource_id: resource_id}\n      |> Map.merge(outcome)\n      |> broadcast()\n    end\n\n    relevant_resources()\n    |> Task.async_stream(\n      task,\n      max_concurrency: 50,\n      on_timeout: :kill_task,\n      timeout: @http_timeout\n    )\n    |> Stream.run()\n  end\n\n  def broadcast(payload) do\n    TransportWeb.ExploreChannel.explore_topic()\n    |> TransportWeb.Endpoint.broadcast!(\"vehicle-positions\", payload)\n  end\n\n  def fetch_vehicle_positions_safely(resource_id, url) do\n    query_time = DateTime.utc_now()\n    %{status_code: 200, body: body} = Transport.Shared.Wrapper.HTTPoison.impl().get!(url, [], follow_redirect: true)\n\n    %{\n      header: %{\n        gtfs_realtime_version: _version,\n        incrementality: :FULL_DATASET,\n        timestamp: timestamp\n      },\n      entity: entity\n    } = TransitRealtime.FeedMessage.decode(body)\n\n    Logger.debug(\n      \"resource:#{resource_id} - timestamp=#{timestamp} #{timestamp |> DateTime.from_unix!()} query_time=#{query_time}\"\n    )\n\n    # NOTE: we cannot directly use Protobuf.JSON.encode!() because\n    # this currently requires protobuf3 and some feeds are protobuf2\n    entity\n    |> Enum.filter(& &1.vehicle)\n    |> Enum.map(& &1.vehicle)\n    |> Enum.map(fn v ->\n      %{\n        transport: %{\n          resource_id: resource_id\n        },\n        vehicle: %{\n          id: v.vehicle.id\n        },\n        position: %{\n          latitude: v.position.latitude,\n          longitude: v.position.longitude,\n          bearing: v.position.bearing,\n          odometer: v.position.odometer,\n          speed: v.position.speed\n        }\n        # NOTE: some trip are empty, causing a nil exception, so we'll need to verify the presence\n        # trip: %{\n        #   trip_id: v.trip.trip_id,\n        # }\n      }\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/file_downloads.ex",
    "content": "defmodule Transport.FileDownloads do\n  @moduledoc \"\"\"\n  This module defines functions to help extract filenames\n  from HTTP responses.\n  \"\"\"\n\n  @doc ~S\"\"\"\n  Guess a filename using HTTP response headers or an URL. The `content-disposition`\n  HTTP header will be used in priority if available.\n\n  ## Examples\n\n    iex> Transport.FileDownloads.guess_filename(%{\"content-disposition\" => \"attachment; filename=gtfs.zip\"}, \"https://example.com/foo.zip\")\n    \"gtfs.zip\"\n\n    iex> Transport.FileDownloads.guess_filename(%{}, \"https://example.com/foo.zip\")\n    \"foo.zip\"\n  \"\"\"\n  def guess_filename(headers, url), do: extract_from_headers(headers) || extract_from_url(url)\n\n  @doc ~S\"\"\"\n  Extract a filename from a `content-disposition` HTTP header.\n\n  ## Examples\n\n    iex> Transport.FileDownloads.extract_from_headers(%{\"content-disposition\" => \"attachment; filename=gtfs.zip\"})\n    \"gtfs.zip\"\n\n    iex> Transport.FileDownloads.extract_from_headers([{\"content-disposition\", \"attachment; filename=gtfs.zip\"}])\n    \"gtfs.zip\"\n\n    iex> Transport.FileDownloads.extract_from_headers(%{\"content-disposition\" => \"attachment; filename=\\\"gtfs.zip\\\"\"})\n    \"gtfs.zip\"\n\n    iex> Transport.FileDownloads.extract_from_headers(%{\"content-disposition\" => \"attachment; filename=\\\"omáèka.jpg\\\"\"})\n    \"omáèka.jpg\"\n\n    iex> Transport.FileDownloads.extract_from_headers(%{\"foo\" => \"bar\"})\n    nil\n  \"\"\"\n  def extract_from_headers(headers) when is_map(headers) do\n    with {_, content} <- Enum.find(headers, fn {h, _} -> String.downcase(h) == \"content-disposition\" end),\n         %{\"filename\" => filename} <-\n           Regex.named_captures(~r/filename[^;=\\n]*=(?<filename>(['\"]).*?\\2|[^;\\n]*)/, content) do\n      String.replace(filename, ~s(\"), \"\")\n    else\n      _ -> nil\n    end\n  end\n\n  def extract_from_headers(headers), do: headers |> Enum.into(%{}) |> extract_from_headers()\n\n  @doc ~S\"\"\"\n  Extract a filename from an URL.\n\n  ## Examples\n\n    iex> Transport.FileDownloads.extract_from_url(\"https://example.com/test_helper.exs#L1?ok=blah\")\n    \"test_helper.exs\"\n  \"\"\"\n  def extract_from_url(url) when is_binary(url), do: url |> URI.parse() |> extract_from_url()\n\n  def extract_from_url(%URI{path: path}) do\n    path |> Path.basename()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/gbfs_metadata.ex",
    "content": "defmodule Transport.GBFSMetadata.Wrapper do\n  @moduledoc \"\"\"\n  Behavior for a module in charge of computing metadata for GBFS feeds.\n  \"\"\"\n\n  @callback compute_feed_metadata(binary()) :: map()\n  def compute_feed_metadata(url), do: impl().compute_feed_metadata(url)\n\n  def impl, do: Application.get_env(:transport, :gbfs_metadata_impl)\nend\n\ndefmodule Transport.GBFSMetadata do\n  @moduledoc \"\"\"\n  Computes and returns metadata for GBFS feeds.\n  \"\"\"\n  alias Shared.Validation.GBFSValidator.Summary, as: GBFSValidationSummary\n  alias Shared.Validation.GBFSValidator.Wrapper, as: GBFSValidator\n  require Logger\n  @behaviour Transport.GBFSMetadata.Wrapper\n\n  @type feed_name ::\n          :gbfs\n          | :manifest\n          | :gbfs_versions\n          | :system_information\n          | :vehicle_types\n          | :station_information\n          | :station_status\n          # `vehicle_status` was `free_bike_status` before v3.0\n          | :vehicle_status\n          | :system_hours\n          | :system_calendar\n          | :system_regions\n          | :system_pricing_plans\n          | :system_alerts\n          | :geofencing_zones\n\n  @doc \"\"\"\n  Compute metadata and validation status (using a third-party HTTP validator) for a GBFS feed.\n  It will do multiple HTTP requests (calling GBFS sub-feeds) to compute various statistics.\n  \"\"\"\n  @impl Transport.GBFSMetadata.Wrapper\n  def compute_feed_metadata(url) do\n    {:ok, %HTTPoison.Response{status_code: 200, body: body}} = cached_http_get(url)\n    {:ok, json} = Jason.decode(body)\n\n    # we compute the feed delay before the rest for accuracy\n    feed_timestamp_delay = feed_timestamp_delay(json)\n\n    %{\n      validation: validation(url),\n      feeds: feeds(json),\n      versions: versions(json),\n      languages: languages(json),\n      system_details: system_details(json),\n      vehicle_types: vehicle_types(json),\n      types: types(json),\n      ttl: ttl(json),\n      stats: stats(json),\n      operator: operator(url),\n      feed_timestamp_delay: feed_timestamp_delay\n    }\n  rescue\n    e ->\n      Logger.warning(\"Could not compute GBFS feed metadata. Reason: #{inspect(e)}\")\n      %{}\n  end\n\n  @spec validation(binary()) :: GBFSValidationSummary.t() | nil\n  defp validation(url) do\n    case GBFSValidator.validate(url) do\n      {:ok, %GBFSValidationSummary{} = summary} -> summary\n      {:error, _} -> nil\n    end\n  end\n\n  @doc \"\"\"\n  iex> operator(\"https://api.cyclocity.fr/contracts/nantes/gbfs/gbfs.json\")\n  \"JC Decaux\"\n  iex> operator(\"https://example.com/gbfs.json\")\n  \"Example\"\n  iex> operator(\"https://404.fr\")\n  nil\n  \"\"\"\n  def operator(url) do\n    Transport.CachedFiles.gbfs_operators()\n    |> Enum.find_value(fn %{\"url\" => operator_url, \"operator\" => operator} ->\n      if String.contains?(url, operator_url), do: operator\n    end)\n  end\n\n  def types(%{\"data\" => _data} = payload) do\n    has_free_floating_vehicles = has_free_floating_vehicles?(payload)\n    has_stations = has_stations?(payload)\n\n    cond do\n      has_free_floating_vehicles and has_stations ->\n        [\"free_floating\", \"stations\"]\n\n      has_free_floating_vehicles ->\n        [\"free_floating\"]\n\n      has_stations ->\n        [\"stations\"]\n\n      true ->\n        Logger.error(\"Cannot detect GBFS types for feed #{inspect(payload)}\")\n        nil\n    end\n  end\n\n  defp has_stations?(%{\"data\" => _data} = payload) do\n    feed_url = feed_url_by_name(payload, :station_information)\n\n    with {:feed_exists, true} <- {:feed_exists, not is_nil(feed_url)},\n         {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(feed_url),\n         {:ok, json} <- Jason.decode(body) do\n      json[\"data\"][\"stations\"]\n      |> Enum.reject(& &1[\"is_virtual_station\"])\n      |> Enum.count() > 0\n    else\n      _ -> false\n    end\n  end\n\n  defp has_free_floating_vehicles?(%{\"data\" => _data} = payload) do\n    feed_url = feed_url_by_name(payload, :vehicle_status)\n    virtual_station_ids = virtual_station_ids(payload)\n\n    with {:feed_exists, true} <- {:feed_exists, not is_nil(feed_url)},\n         {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(feed_url),\n         {:ok, json} <- Jason.decode(body) do\n      (json[\"data\"][\"vehicles\"] || json[\"data\"][\"bikes\"])\n      |> Enum.any?(fn vehicle ->\n        not Map.has_key?(vehicle, \"station_id\") or vehicle[\"station_id\"] in virtual_station_ids\n      end)\n    else\n      _ -> false\n    end\n  end\n\n  def virtual_station_ids(%{\"data\" => _data} = payload) do\n    feed_url = feed_url_by_name(payload, :station_information)\n\n    with {:feed_exists, true} <- {:feed_exists, not is_nil(feed_url)},\n         {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(feed_url),\n         {:ok, json} <- Jason.decode(body) do\n      json[\"data\"][\"stations\"]\n      |> Enum.filter(& &1[\"is_virtual_station\"])\n      |> Enum.map(& &1[\"station_id\"])\n    else\n      _ -> []\n    end\n  end\n\n  defp ttl(%{\"data\" => _data} = payload) do\n    feed_name = feed_to_use_for_ttl(types(payload))\n\n    if is_nil(feed_name) do\n      feed_ttl(payload[\"ttl\"])\n    else\n      payload |> feed_url_by_name(feed_name) |> feed_ttl()\n    end\n  end\n\n  defp feed_ttl(value) when is_integer(value) and value >= 0, do: value\n\n  defp feed_ttl(feed_url) when is_binary(feed_url) do\n    with {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(feed_url),\n         {:ok, json} <- Jason.decode(body) do\n      json[\"ttl\"]\n    else\n      e ->\n        Logger.error(\"Cannot get GBFS ttl details: #{inspect(e)}\")\n        nil\n    end\n  end\n\n  @doc \"\"\"\n  Computes the freshness in seconds of a feed's content\n\n  iex> last_updated = DateTime.utc_now() |> DateTime.add(-1, :minute)\n  iex> delay = feed_timestamp_delay(%{\"last_updated\" => last_updated |> DateTime.to_unix()})\n  iex> delay >= 60 and delay <= 62\n  true\n  iex> delay = feed_timestamp_delay(%{\"last_updated\" => last_updated |> DateTime.to_iso8601()})\n  iex> delay >= 60 and delay <= 62\n  true\n  iex> feed_timestamp_delay(%{\"x\" => 1})\n  nil\n  iex> feed_timestamp_delay(%{\"last_updated\" => \"F6\"})\n  nil\n  \"\"\"\n  @spec feed_timestamp_delay(any()) :: nil | integer\n  def feed_timestamp_delay(%{\"last_updated\" => last_updated}) when is_integer(last_updated) do\n    last_updated\n    |> DateTime.from_unix()\n    |> case do\n      {:ok, %DateTime{} = dt} -> DateTime.utc_now() |> DateTime.diff(dt)\n      _ -> nil\n    end\n  end\n\n  def feed_timestamp_delay(%{\"last_updated\" => last_updated}) when is_binary(last_updated) do\n    case DateTime.from_iso8601(last_updated) do\n      {:ok, %DateTime{} = utc_datetime, _} -> DateTime.utc_now() |> DateTime.diff(utc_datetime)\n      _ -> nil\n    end\n  end\n\n  def feed_timestamp_delay(_), do: nil\n\n  @doc \"\"\"\n  Determines the feed to use as the ttl value of a GBFS feed.\n\n  iex> feed_to_use_for_ttl([\"free_floating\", \"stations\"])\n  :vehicle_status\n  iex> feed_to_use_for_ttl([\"stations\"])\n  :station_information\n  iex> feed_to_use_for_ttl(nil)\n  nil\n  \"\"\"\n  @spec feed_to_use_for_ttl([binary()] | nil) :: feed_name() | nil\n  def feed_to_use_for_ttl(types) do\n    case types do\n      [\"free_floating\", \"stations\"] -> :vehicle_status\n      [\"free_floating\"] -> :vehicle_status\n      [\"stations\"] -> :station_information\n      nil -> nil\n    end\n  end\n\n  def stats(%{\"data\" => _data} = payload) do\n    station_status_statistics(payload)\n    |> Map.merge(station_information_statistics(payload))\n    |> Map.merge(vehicle_statistics(payload))\n    |> Map.merge(%{version: 2})\n  end\n\n  def station_status_statistics(%{\"data\" => _data} = payload) do\n    feed_url = feed_url_by_name(payload, :station_status)\n\n    with {:feed_exists, true} <- {:feed_exists, not is_nil(feed_url)},\n         {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(feed_url),\n         {:ok, json} <- Jason.decode(body) do\n      stations = Enum.reject(json[\"data\"][\"stations\"], &unrealistic_station_data?/1)\n\n      %{\n        nb_stations: Enum.count(stations),\n        nb_installed_stations: Enum.count(stations, & &1[\"is_installed\"]),\n        nb_renting_stations: Enum.count(stations, & &1[\"is_renting\"]),\n        nb_returning_stations: Enum.count(stations, & &1[\"is_returning\"]),\n        nb_docks_available: stations |> Enum.map(& &1[\"num_docks_available\"]) |> non_nil_sum(),\n        nb_docks_disabled: stations |> Enum.map(& &1[\"num_docks_disabled\"]) |> non_nil_sum(),\n        nb_vehicles_available_stations: stations |> Enum.map(&vehicles_available/1) |> non_nil_sum(),\n        nb_vehicles_disabled_stations: stations |> Enum.map(& &1[\"num_vehicles_disabled\"]) |> non_nil_sum()\n      }\n    else\n      {:feed_exists, false} ->\n        %{}\n\n      e ->\n        Logger.error(\"Cannot get GBFS station_status details: #{inspect(e)}\")\n        %{}\n    end\n  end\n\n  def station_information_statistics(%{\"data\" => _data} = payload) do\n    feed_url = feed_url_by_name(payload, :station_information)\n\n    with {:feed_exists, true} <- {:feed_exists, not is_nil(feed_url)},\n         {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(feed_url),\n         {:ok, json} <- Jason.decode(body) do\n      stations = json[\"data\"][\"stations\"]\n\n      %{\n        nb_virtual_stations: Enum.count(stations, & &1[\"is_virtual_station\"])\n      }\n    else\n      {:feed_exists, false} ->\n        %{}\n\n      e ->\n        Logger.error(\"Cannot get GBFS station_information details: #{inspect(e)}\")\n        %{}\n    end\n  end\n\n  def vehicle_statistics(%{\"data\" => _data} = payload) do\n    feed_url = feed_url_by_name(payload, :vehicle_status)\n\n    with {:feed_exists, true} <- {:feed_exists, not is_nil(feed_url)},\n         {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(feed_url),\n         {:ok, json} <- Jason.decode(body) do\n      vehicles = json[\"data\"][\"vehicles\"] || json[\"data\"][\"bikes\"]\n      nb_vehicles = Enum.count(vehicles)\n      nb_docked_vehicles = Enum.count(vehicles, &Map.has_key?(&1, \"station_id\"))\n\n      %{\n        nb_vehicles: nb_vehicles,\n        nb_disabled_vehicles: Enum.count(vehicles, & &1[\"is_disabled\"]),\n        nb_reserved_vehicles: Enum.count(vehicles, & &1[\"is_reserved\"]),\n        nb_docked_vehicles: nb_docked_vehicles,\n        nb_freefloating_vehicles: nb_vehicles - nb_docked_vehicles\n      }\n    else\n      {:feed_exists, false} ->\n        %{}\n\n      e ->\n        Logger.error(\"Cannot get GBFS vehicle_status details: #{inspect(e)}\")\n        %{}\n    end\n  end\n\n  @doc \"\"\"\n  Is the number of docks or vehicles unrealistic for this station? (more than 500 docks or vehicles).\n  If yes, used to ignore this station to maintain relevant statistics.\n\n  iex> unrealistic_station_data?(%{\"num_vehicles_available\" => 1_000})\n  true\n  iex> unrealistic_station_data?(%{\"num_docks_available\" => 1_000})\n  true\n  iex> unrealistic_station_data?(%{\"num_docks_available\" => 20, \"num_vehicles_available\" => 10})\n  false\n  \"\"\"\n  def unrealistic_station_data?(%{} = data) do\n    data\n    |> Map.take([\"num_vehicles_available\", \"num_bikes_available\", \"num_docks_available\"])\n    |> Map.values()\n    |> Enum.any?(&(&1 >= 500))\n  end\n\n  # As of 3.0\n  defp vehicles_available(%{\"num_vehicles_available\" => num_vehicles_available}), do: num_vehicles_available\n  # Before 3.0\n  defp vehicles_available(%{\"num_bikes_available\" => num_bikes_available}), do: num_bikes_available\n\n  def system_details(%{\"data\" => _data} = payload) do\n    feed_url = feed_url_by_name(payload, :system_information)\n\n    with {:feed_exists, true} <- {:feed_exists, not is_nil(feed_url)},\n         {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(feed_url),\n         {:ok, json} <- Jason.decode(body) do\n      transform_localized_strings(json[\"data\"])\n    else\n      {:feed_exists, false} ->\n        nil\n\n      e ->\n        Logger.error(\"Cannot get GBFS system_information details: #{inspect(e)}\")\n        nil\n    end\n  end\n\n  @doc \"\"\"\n  iex> %{\"name\" => \"velhop\", \"timezone\" => \"Europe/Paris\"} |> transform_localized_strings()\n  %{\"name\" => \"velhop\", \"timezone\" => \"Europe/Paris\"}\n  iex> %{name: \"velhop\", timezone: \"Europe/Paris\"} |> transform_localized_strings()\n  %{name: \"velhop\", timezone: \"Europe/Paris\"}\n  iex> %{name: [%{\"text\" => \"velhop\", \"language\" => \"fr\"}], timezone: \"Europe/Paris\"} |> transform_localized_strings()\n  %{name: \"velhop\", timezone: \"Europe/Paris\"}\n  \"\"\"\n  def transform_localized_strings(json) do\n    Map.new(json, fn {k, v} ->\n      if localized_string?(v) do\n        {k, v |> hd() |> Map.get(\"text\")}\n      else\n        {k, v}\n      end\n    end)\n  end\n\n  defp localized_string?(value) when is_list(value) do\n    # See \"Localized string\" type on https://gbfs.org/specification/reference/#field-types\n    match?(%{\"text\" => _, \"language\" => _}, value |> hd())\n  end\n\n  defp localized_string?(_), do: false\n\n  def vehicle_types(%{\"data\" => _data} = payload) do\n    feed_url = feed_url_by_name(payload, :vehicle_types)\n\n    if is_nil(feed_url) do\n      # https://gbfs.org/specification/reference/#vehicle_typesjson\n      # > If this file is not included, then all vehicles in the feed are assumed to be non-motorized bicycles.\n      [\"bicycle\"]\n    else\n      with {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(feed_url),\n           {:ok, json} <- Jason.decode(body) do\n        json[\"data\"][\"vehicle_types\"] |> Enum.map(& &1[\"form_factor\"]) |> Enum.uniq()\n      else\n        _ -> nil\n      end\n    end\n  end\n\n  def languages(%{\"data\" => data} = payload) do\n    if before_v3?(payload) do\n      Map.keys(data)\n    else\n      feed_url = feed_url_by_name(payload, :system_information)\n\n      with {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(feed_url),\n           {:ok, json} <- Jason.decode(body) do\n        get_in(json, [\"data\", \"languages\"])\n      else\n        _ -> []\n      end\n    end\n  end\n\n  @spec versions(map()) :: [binary()] | nil\n  def versions(%{\"data\" => _data} = payload) do\n    versions_url = feed_url_by_name(payload, :gbfs_versions)\n\n    if is_nil(versions_url) do\n      [Map.get(payload, \"version\", \"1.0\")]\n    else\n      with {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- cached_http_get(versions_url),\n           {:ok, json} <- Jason.decode(body) do\n        json[\"data\"][\"versions\"] |> Enum.map(& &1[\"version\"]) |> Enum.sort(:desc)\n      else\n        _ -> nil\n      end\n    end\n  end\n\n  @doc \"\"\"\n  Finds the main list of sub-feeds from a `gbfs.json`.\n\n  Before v3 the order is: English first, then French otherwise the first language.\n  As-of v3 there is only a single list of feeds.\n  \"\"\"\n  def main_feeds(%{\"data\" => data} = payload) do\n    if before_v3?(payload) do\n      first_language = payload |> languages() |> Enum.at(0)\n      (data[\"en\"] || data[\"fr\"] || data[first_language])[\"feeds\"]\n    else\n      data[\"feeds\"]\n    end\n  end\n\n  @spec feed_url_by_name(map(), feed_name()) :: binary() | nil\n  def feed_url_by_name(%{\"data\" => _} = payload, name) do\n    (payload |> main_feeds() |> Enum.find(&feed_is_named?(&1, name)))[\"url\"]\n  end\n\n  @spec feed_is_named?(map(), feed_name()) :: boolean()\n  def feed_is_named?(%{\"name\" => feed_name}, name) do\n    # Many people make the mistake of appending `.json` to feed names\n    # so try to match this as well\n    searches = [to_string(name), \"#{name}.json\"]\n\n    if name == :vehicle_status do\n      searches ++ [\"free_bike_status\", \"free_bike_status.json\"]\n    else\n      searches\n    end\n    |> Enum.member?(feed_name)\n  end\n\n  @spec has_feed?(map(), feed_name()) :: boolean()\n  def has_feed?(%{\"data\" => _data} = payload, :vehicle_status) do\n    not MapSet.disjoint?(MapSet.new(feeds(payload)), MapSet.new([\"vehicle_status\", \"free_bike_status\"]))\n  end\n\n  def has_feed?(%{\"data\" => _data} = payload, name) do\n    Enum.member?(feeds(payload), to_string(name))\n  end\n\n  @spec feeds(map()) :: [binary()]\n  def feeds(%{\"data\" => _data} = payload) do\n    # Remove potential \".json\" at the end of feed names as people\n    # often make this mistake\n    payload |> main_feeds() |> Enum.map(fn feed -> String.replace(feed[\"name\"], \".json\", \"\") end)\n  end\n\n  @doc \"\"\"\n  iex> non_nil_sum([1, 3])\n  4\n  iex> non_nil_sum([1, nil])\n  1\n  iex> non_nil_sum([nil])\n  0\n  \"\"\"\n  def non_nil_sum(values) do\n    values |> Enum.reject(&is_nil/1) |> Enum.sum()\n  end\n\n  defp before_v3?(%{\"version\" => version}), do: String.starts_with?(version, [\"1.\", \"2.\"])\n  # No `version` key: GBFS 1.0\n  # https://github.com/MobilityData/gbfs/blob/v1.1/gbfs.md#output-format\n  defp before_v3?(%{}), do: true\n\n  defp cached_http_get(url) do\n    Transport.Cache.fetch(\n      \"#{__MODULE__}::http_get::#{url}\",\n      fn -> http_client().get(url) end,\n      :timer.seconds(30)\n    )\n  end\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/gbfs_to_geojson.ex",
    "content": "defmodule Transport.GbfsToGeojson do\n  @moduledoc \"\"\"\n  Converts a GBFS feed to useful GeoJSONs\n  \"\"\"\n  alias Transport.GBFSMetadata\n\n  @type feed_name :: Transport.GBFSMetadata.feed_name()\n\n  @doc \"\"\"\n  Main module function: returns a map of geojsons generated from the GBFS endpoint\n  %{\n    \"stations => ...,\n    \"free_floating\" => ...,\n    \"geofencing_zones\" => ...\n  }\n  \"\"\"\n  @spec gbfs_geojsons(binary(), map()) :: map()\n  def gbfs_geojsons(url, params) do\n    payload = fetch_gbfs_endpoint!(url)\n    add_feeds(payload, params)\n  rescue\n    _e -> %{}\n  end\n\n  def add_feeds(payload, %{\"output\" => \"stations\"}) do\n    %{}\n    |> add_station_information(payload)\n    |> add_station_status(payload)\n    |> Map.get(\"stations\")\n  end\n\n  def add_feeds(payload, %{\"output\" => \"free_floating\"}) do\n    %{}\n    |> add_vehicle_status(payload)\n    |> Map.get(\"free_floating\")\n  end\n\n  def add_feeds(payload, %{\"output\" => \"geofencing_zones\"}) do\n    %{}\n    |> add_geofencing_zones(payload)\n    |> Map.get(\"geofencing_zones\")\n  end\n\n  def add_feeds(payload, _) do\n    %{}\n    |> add_station_information(payload)\n    |> add_station_status(payload)\n    |> add_vehicle_status(payload)\n    |> add_geofencing_zones(payload)\n  rescue\n    _e -> %{}\n  end\n\n  @spec add_station_information(map(), map()) :: map()\n  defp add_station_information(resp_data, payload) do\n    payload\n    |> feed_url_from_payload(:station_information)\n    |> case do\n      nil ->\n        resp_data\n\n      url ->\n        geojson = station_information_geojson!(url)\n        resp_data |> Map.put(\"stations\", geojson)\n    end\n  rescue\n    _e -> resp_data\n  end\n\n  @spec station_information_geojson!(binary()) :: map()\n  defp station_information_geojson!(url) do\n    features =\n      url\n      |> fetch_gbfs_endpoint!()\n      |> Map.fetch!(\"data\")\n      |> Map.fetch!(\"stations\")\n      |> Enum.map(fn s ->\n        %{\n          \"type\" => \"Feature\",\n          \"geometry\" => %{\n            \"type\" => \"Point\",\n            \"coordinates\" => [s[\"lon\"], s[\"lat\"]]\n          },\n          \"properties\" => %{\n            \"name\" => station_name(s),\n            \"station_id\" => s[\"station_id\"]\n          }\n        }\n      end)\n\n    %{\n      \"type\" => \"FeatureCollection\",\n      \"features\" => features\n    }\n  end\n\n  # From GBFS 1.1 until 2.3\n  defp station_name(%{\"name\" => name}) when is_binary(name), do: name\n\n  # From GBFS 3.0 onwards\n  defp station_name(%{\"name\" => names}) do\n    names |> hd() |> Map.get(\"text\")\n  end\n\n  @spec add_station_status(map(), map()) :: map()\n  defp add_station_status(%{\"stations\" => stations_geojson} = resp_data, payload) do\n    payload\n    |> feed_url_from_payload(:station_status)\n    |> case do\n      nil ->\n        resp_data\n\n      url ->\n        geojson = url |> station_status_geojson!(stations_geojson)\n        resp_data |> Map.put(\"stations\", geojson)\n    end\n  rescue\n    _e -> resp_data\n  end\n\n  defp add_station_status(resp_data, _payload) do\n    resp_data\n  end\n\n  @spec station_status_geojson!(binary(), map()) :: map()\n  defp station_status_geojson!(station_status_url, stations_geojson) do\n    json = fetch_gbfs_endpoint!(station_status_url)\n\n    station_status =\n      json\n      |> Map.fetch!(\"data\")\n      |> Map.fetch!(\"stations\")\n\n    features =\n      stations_geojson\n      |> Map.fetch!(\"features\")\n      |> Enum.map(fn s ->\n        station_id = s[\"properties\"][\"station_id\"]\n\n        status =\n          station_status\n          |> Enum.find(fn s -> s[\"station_id\"] == station_id end)\n          |> Map.delete(\"station_id\")\n          |> add_availability()\n\n        put_in(s[\"properties\"][\"station_status\"], status)\n      end)\n\n    %{\n      \"type\" => \"FeatureCollection\",\n      \"features\" => features\n    }\n  end\n\n  def add_availability(data) do\n    availability = data[\"num_vehicles_available\"] || data[\"num_bikes_available\"]\n    Map.put(data, \"availability\", availability)\n  end\n\n  @spec add_vehicle_status(map(), map()) :: map()\n  defp add_vehicle_status(resp_data, payload) do\n    payload\n    |> feed_url_from_payload(:vehicle_status)\n    |> case do\n      nil ->\n        resp_data\n\n      url ->\n        geojson = vehicle_status_geojson!(url)\n        resp_data |> Map.put(\"free_floating\", geojson)\n    end\n  rescue\n    _e -> resp_data\n  end\n\n  @spec vehicle_status_geojson!(binary()) :: map()\n  defp vehicle_status_geojson!(url) do\n    json = fetch_gbfs_endpoint!(url)\n\n    vehicles =\n      json\n      |> Map.fetch!(\"data\")\n      |> Map.fetch!(\"bikes\")\n\n    features =\n      vehicles\n      |> Enum.filter(fn v -> v[\"station_id\"] |> is_nil() end)\n      |> Enum.map(fn v ->\n        %{\n          \"type\" => \"Feature\",\n          \"geometry\" => %{\n            \"type\" => \"Point\",\n            \"coordinates\" => [v[\"lon\"], v[\"lat\"]]\n          },\n          \"properties\" => Map.drop(v, [\"lat\", \"lon\"])\n        }\n      end)\n\n    %{\n      \"type\" => \"FeatureCollection\",\n      \"features\" => features\n    }\n  end\n\n  @spec add_geofencing_zones(map(), map()) :: map()\n  defp add_geofencing_zones(resp_data, payload) do\n    payload\n    |> feed_url_from_payload(:geofencing_zones)\n    |> case do\n      nil ->\n        resp_data\n\n      url ->\n        data = geofencing_zones_geojson!(url)\n        geofencing_zones = data[\"geofencing_zones\"] |> Map.put(\"global_rules\", data[\"global_rules\"])\n\n        resp_data\n        |> Map.put(\"geofencing_zones\", geofencing_zones)\n    end\n  rescue\n    _e -> resp_data\n  end\n\n  @spec geofencing_zones_geojson!(binary()) :: map()\n  defp geofencing_zones_geojson!(url) do\n    url\n    |> fetch_gbfs_endpoint!()\n    |> Map.fetch!(\"data\")\n  end\n\n  @spec fetch_gbfs_endpoint!(binary()) :: map()\n  defp fetch_gbfs_endpoint!(url) do\n    %{status_code: 200, body: body} = http_client().get!(url)\n    Jason.decode!(body)\n  end\n\n  @spec feed_url_from_payload(map(), feed_name()) :: binary() | nil\n  defp feed_url_from_payload(payload, feed_name) do\n    GBFSMetadata.feed_url_by_name(payload, feed_name)\n  end\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/gbfs_utils.ex",
    "content": "defmodule Transport.GBFSUtils do\n  @moduledoc \"\"\"\n  Useful functions for GBFS data\n  \"\"\"\n  alias DB.Resource\n\n  def gbfs_validation_link(%Resource{format: \"gbfs\", url: url}) do\n    gbfs_validation_link(url)\n  end\n\n  def gbfs_validation_link(url) do\n    :transport\n    |> Application.fetch_env!(:gbfs_validator_website)\n    |> URI.parse()\n    |> Map.put(:query, URI.encode_query(%{url: url}))\n    |> URI.to_string()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/gtfs_data.ex",
    "content": "defmodule Transport.GTFSData do\n  @moduledoc \"\"\"\n  A module centralizing data functions for GTFS (stops for now).\n\n  Here is the general explanation around the algorithms used to create the national GTFS stops map,\n  centralized in one place for simplicity.\n\n  The client side (`gtfs.js`) computes the width/height in pixels and the bounding box (north/south/east/west).\n  The size in pixels is useful to try to display similarly spaced clusters, as explained below.\n\n  Server-side, `explore_controller.ex` counts the stops in the bounding box.\n\n  Under a certain threshold, one that allows decent performance on the client side & in delay in transmission from\n  the server to the client, a non-aggregate (aka \"detailed\") reply is generated as GeoJSON, allowing to show per-stop\n  detailed information.\n\n  Above the threshold, aggregates are returned to the client instead. The controller computes \"snap x\" and \"snap y\"\n  values, which are the delta in latitude/longitude, divided per 5 pixels of screen, based on what is sent by the client.\n\n  This is done to give the controller enough information to figure out how to display roughly equally spaced/sized \"cells\" on the screen,\n  all while keeping the number of overall clusters for a given zoom level low enough.\n\n  To save bandwidth and get a fast-enough experience, the aggregates are returned as [count, lat, lon] JSON arrays,\n  without any key, and with reduced decimal precision.\n\n  The aggregates are pre-computed as materialized views for each of the 12 zoom levels encountered with leaflet.\n  For each zoom level, the stops are counted as aggregates via `ST_SnapToGrid`. The delta latitude/longitude for each zoom level\n  has been captured from the client and hardcoded (see `@zoom_levels`).\n\n  When an actual aggregate query needs to occur, the snap_x/snap_y computed values (thanks to what is sent by the client)\n  are used to determine which zoom level is the closest in term of snap_y, which helps deciding which aggregate to pick.\n  \"\"\"\n\n  import Ecto.Query\n\n  def bounding_box_points({north, south, east, west}) do\n    query = from(gs in \"gtfs_stops\")\n\n    query\n    |> where(\n      [gs],\n      fragment(\"? between ? and ?\", gs.stop_lon, ^west, ^east) and\n        fragment(\"? between ? and ?\", gs.stop_lat, ^south, ^north)\n    )\n  end\n\n  def build_detailed({north, south, east, west}, opts \\\\ []) do\n    [mode: mode] = Keyword.validate!(opts, mode: :map_mode)\n\n    stops =\n      {north, south, east, west}\n      |> bounding_box_points()\n      |> join(:left, [gs, di], di in DB.DataImport, on: gs.data_import_id == di.id)\n      |> join(:left, [gs, di, rh], rh in DB.ResourceHistory, on: di.resource_history_id == rh.id)\n      |> join(:left, [gs, di, rh, r], r in DB.Resource, on: rh.resource_id == r.id)\n      |> join(:left, [gs, di, rh, r, d], d in DB.Dataset, on: r.dataset_id == d.id)\n      |> select([gs, di, rh, r, d], %{\n        stop_id: gs.stop_id,\n        stop_name: gs.stop_name,\n        di_id: gs.data_import_id,\n        dataset_title: d.custom_title,\n        stop_lat: gs.stop_lat,\n        stop_lon: gs.stop_lon,\n        location_type: gs.location_type\n      })\n\n    stops =\n      if mode == :api_mode do\n        stops\n        |> select_merge([gs, di, rh, r, d], %{\n          dataset_id: d.id,\n          resource_id: r.id,\n          resource_title: r.title\n        })\n      else\n        stops\n      end\n\n    %{\n      type: \"FeatureCollection\",\n      features:\n        stops\n        |> DB.Repo.all()\n        |> Enum.map(fn s ->\n          %{\n            type: \"Feature\",\n            geometry: %{\n              type: \"Point\",\n              coordinates: [Map.fetch!(s, :stop_lon), Map.fetch!(s, :stop_lat)]\n            },\n            properties: geojson_properties(s, mode)\n          }\n        end)\n    }\n  end\n\n  defp geojson_properties(s, :map_mode) do\n    %{\n      stop_id: Map.fetch!(s, :stop_id),\n      stop_name: Map.fetch!(s, :stop_name),\n      di_id: Map.fetch!(s, :di_id),\n      d_title: Map.fetch!(s, :dataset_title),\n      location_type: Map.fetch!(s, :location_type)\n    }\n  end\n\n  defp geojson_properties(s, :api_mode) do\n    %{\n      stop_id: Map.fetch!(s, :stop_id),\n      stop_name: Map.fetch!(s, :stop_name),\n      data_import_id: Map.fetch!(s, :di_id),\n      dataset_id: Map.fetch!(s, :dataset_id),\n      dataset_title: Map.fetch!(s, :dataset_title),\n      resource_id: Map.fetch!(s, :resource_id),\n      resource_title: Map.fetch!(s, :resource_title),\n      location_type: Map.fetch!(s, :location_type)\n    }\n  end\n\n  def count_points({north, south, east, west}) do\n    {north, south, east, west}\n    |> bounding_box_points()\n    |> DB.Repo.aggregate(:count, :id)\n  end\n\n  #\n  # To recreate these values, you must compute, for each Leaflet zoom-level,\n  # the following values.\n  #\n  # (east - west) / (width_in_pixels / 5.0)\n  # (north - south) / (height_in_pixels / 5.0)\n  #\n  # This can be achieved for instance purely in `gtfs.js` with the following code\n  # in the `moveend` event:\n  #\n  # ```\n  #    console.log(map.getZoom())\n  #    console.log((bounds.getEast() - bounds.getWest()) / (widthPixels / 5.0))\n  #    console.log((bounds.getNorth() - bounds.getSouth()) / (heightPixels / 5.0))\n  # ```\n  #\n  # The results will vary based on which screen / resolution you have, so I made\n  # the computations on an average sized screen. They will also vary based on where\n  # you zoom, so I worked mostly around Metropolitan France.\n  #\n  # Despite this limitation, they could still be used correctly for most cases.\n  #\n  @zoom_levels %{\n    1 => {3.5, 2.0},\n    2 => {1.7578125000000004, 1.189324575526938},\n    3 => {0.8789062500000002, 0.6065068377804875},\n    4 => {0.4394531250000001, 0.3034851814036069},\n    5 => {0.21972656250000006, 0.15165412371973086},\n    6 => {0.10986328125000003, 0.07580875200863536},\n    7 => {0.054931640625000014, 0.037900705683396894},\n    8 => {0.027465820312500007, 0.018949562981982936},\n    9 => {0.013732910156250003, 0.009474781490991468},\n    10 => {0.006866455078125002, 0.004737390745495734},\n    11 => {0.0034332275390624983, 0.002259008904275428},\n    12 => {0.00171661376953125, 0.0011294445140095472}\n  }\n\n  def list_views(pattern) do\n    query = from(v in \"pg_matviews\")\n\n    query\n    |> select([v], v.matviewname)\n    |> where([v], like(v.matviewname, ^pattern))\n    |> DB.Repo.all()\n  end\n\n  def create_if_not_exist_materialized_views do\n    @zoom_levels\n    |> Enum.each(fn {zoom_level, _} ->\n      create_gtfs_stops_materialized_view(zoom_level)\n    end)\n  end\n\n  def refresh_materialized_views do\n    @zoom_levels\n    |> Enum.each(fn {zoom_level, _} ->\n      refresh_materialized_view(zoom_level)\n    end)\n  end\n\n  @doc \"\"\"\n  For simplicity, this method will attempt to \"create if not exist\", then\n  refresh the views. It means the first time ever, 2 computations will occur.\n  \"NO DATA\" could instead be used on view creation instead if needed.\n  \"\"\"\n  def create_or_refresh_all_materialized_views do\n    create_if_not_exist_materialized_views()\n    refresh_materialized_views()\n  end\n\n  def refresh_materialized_view(zoom_level) when is_integer(zoom_level) do\n    # NOTE: CONCURRENTLY is better but will require a unique index first\n    # Not using CONCURRENTLY means the view cannot be queried at all during the operation\n    {:ok, _res} =\n      Ecto.Adapters.SQL.query(DB.Repo, \"\"\"\n        REFRESH MATERIALIZED VIEW gtfs_stops_clusters_level_#{zoom_level}\n      \"\"\")\n  end\n\n  # NOTE: the bounding box computation is done before the \"create if not exists\", which\n  # costs a bit of time even if the view exists already.\n  # NOTE: make sure to keep the integer guard to avoid SQL injections.\n  def create_gtfs_stops_materialized_view(zoom_level) when is_integer(zoom_level) do\n    north = DB.Repo.aggregate(\"gtfs_stops\", :max, :stop_lat)\n    south = DB.Repo.aggregate(\"gtfs_stops\", :min, :stop_lat)\n    east = DB.Repo.aggregate(\"gtfs_stops\", :max, :stop_lon)\n    west = DB.Repo.aggregate(\"gtfs_stops\", :min, :stop_lon)\n\n    {snap_x, snap_y} = @zoom_levels |> Map.fetch!(zoom_level)\n\n    query = build_clusters_query({north, south, east, west}, {snap_x, snap_y})\n\n    {sql, params} = DB.Repo.to_sql(:all, query)\n\n    # NOTE: we cannot use parameters directly in materalized views, and will get error\n    # \"materialized views may not be defined using bound parameters\". One solution is to\n    # straight replace the $ parameters manually, something that is tolerable since the\n    # parameters are all under our control at time of writing, and no SQL injection can occur.\n    # potential other solutions can be found at https://dba.stackexchange.com/a/208599\n    view_query = \"\"\"\n    CREATE MATERIALIZED VIEW IF NOT EXISTS gtfs_stops_clusters_level_#{zoom_level} AS\n    #{sql}\n    \"\"\"\n\n    view_query =\n      view_query\n      |> String.replace(\"$1\", params |> Enum.at(0) |> Float.to_string())\n      |> String.replace(\"$2\", params |> Enum.at(1) |> Float.to_string())\n      |> String.replace(\"$3\", params |> Enum.at(2) |> Float.to_string())\n      |> String.replace(\"$4\", params |> Enum.at(3) |> Float.to_string())\n      |> String.replace(\"$5\", params |> Enum.at(4) |> Float.to_string())\n      |> String.replace(\"$6\", params |> Enum.at(5) |> Float.to_string())\n\n    {:ok, _res} = Ecto.Adapters.SQL.query(DB.Repo, view_query)\n  end\n\n  def find_closest_zoom_level({_snap_x, snap_y}) do\n    Enum.min_by(@zoom_levels, fn {_zoom_level, {_sx, sy}} ->\n      abs(sy - snap_y)\n    end)\n  end\n\n  import Transport.LogTimeTaken, only: [log_time_taken: 2]\n\n  @doc \"\"\"\n  Build an already-encoded JSON list of arrays of lat/lon/count for all the clusters,\n  leveraging the database for both the computation and the encoding (faster than with Elixir),\n  and working at the closest available zoom level automatically.\n  \"\"\"\n  def build_clusters_json_encoded({north, south, east, west}, {snap_x, snap_y}) do\n    {zoom_level, {_sx, _sy}} = find_closest_zoom_level({snap_x, snap_y})\n\n    # NOTE: careful with not creating a SQL injection here as in other similar places in this file.\n    # Here zoom_level is not user input at time of writing.\n    q =\n      from(gs in \"gtfs_stops_clusters_level_#{zoom_level}\",\n        # NOTE: the rounding could be moved to the materialized view itself,\n        # it would probably be faster.\n        select:\n          fragment(\n            \"jsonb_agg(jsonb_build_array(?, ?, ?))::text\",\n            fragment(\"round(cluster_lat::numeric, 4)::float\"),\n            fragment(\"round(cluster_lon::numeric, 4)::float\"),\n            gs.count\n          )\n      )\n\n    log_time_taken(\"SQL query\", fn ->\n      record =\n        q\n        |> where(\n          [c],\n          fragment(\"? between ? and ?\", c.cluster_lon, ^west, ^east) and\n            fragment(\"? between ? and ?\", c.cluster_lat, ^south, ^north)\n        )\n        # \"one\" because we use jsonb_agg above, returning one record with everything\n        |> DB.Repo.one()\n\n      # if nothing is in the bounding box, return an empty array instead of nil\n      if is_nil(record), do: \"[]\", else: record\n    end)\n  end\n\n  def build_clusters_query({north, south, east, west}, {snap_x, snap_y}) do\n    # NOTE: this query is not horribly slow but not super fast either. When the user\n    # scrolls, this will stack up queries. It would be a good idea to cache the result for\n    # some precomputed zoom levels when all the data imports are considered (no filtering).\n    q = from(gs in \"gtfs_stops\")\n\n    clusters =\n      q\n      |> select([gs], %{\n        cluster:\n          selected_as(\n            fragment(\n              \"ST_SnapToGrid(ST_SetSRID(ST_MakePoint(stop_lon, stop_lat), 4326), ?, ?)\",\n              ^snap_x,\n              ^snap_y\n            ),\n            :cluster\n          ),\n        count: selected_as(fragment(\"count(*)\"), :count)\n      })\n      |> where(\n        [gs],\n        fragment(\"? between ? and ?\", gs.stop_lon, ^west, ^east) and\n          fragment(\"? between ? and ?\", gs.stop_lat, ^south, ^north)\n      )\n      |> group_by([gs], selected_as(:cluster))\n\n    q = from(e in subquery(clusters))\n\n    q\n    |> select([e], %{\n      lon: selected_as(fragment(\"ST_X(ST_TRANSFORM(cluster, 4326))\"), :cluster_lon),\n      lat: selected_as(fragment(\"ST_Y(ST_TRANSFORM(cluster, 4326))\"), :cluster_lat),\n      c: selected_as(fragment(\"count\"), :count)\n    })\n    |> where([e], e.count > 0)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/gtfs_diff.ex",
    "content": "defmodule Transport.GTFSDiff do\n  @moduledoc \"\"\"\n  Compute Diff between two GTFS files\n  \"\"\"\n  alias NimbleCSV.RFC4180, as: CSV\n  require Logger\n  use Gettext, backend: TransportWeb.Gettext\n\n  @type gtfs_diff :: list(map())\n  # Currently one of \"core\" | \"full\"\n  @type profile :: String.t()\n\n  # Compute diff of the gtfs zip archives.\n  @spec diff(\n          unzip_1 :: Unzip.t(),\n          unzip_2 :: Unzip.t(),\n          profile :: profile(),\n          notify_func :: (String.t() -> :ok) | nil,\n          locale :: String.t()\n        ) :: gtfs_diff()\n\n  # Write a diff to a CSV file following the MobilityData standard\n  # (https://github.com/MobilityData/gtfs_diff/blob/main/specification.md).\n  @spec dump_diff(diff :: gtfs_diff(), filepath :: Path.t()) :: :ok\n\n  # Read a diff from a CSV file following the MobilityData standard\n  # (https://github.com/MobilityData/gtfs_diff/blob/main/specification.md).\n  @spec parse_diff_output(binary()) :: gtfs_diff()\n\n  # Static list of files expected in a GTFS diff output for a given profile.\n  @spec files_to_analyze(profile()) :: list(String.t())\n\n  @primary_keys %{\n    \"agency.txt\" => [\"agency_id\"],\n    \"attributions.txt\" => [\"organization_name\"],\n    \"stops.txt\" => [\"stop_id\"],\n    \"routes.txt\" => [\"route_id\"],\n    \"trips.txt\" => [\"trip_id\"],\n    \"stop_times.txt\" => [\"trip_id\", \"stop_id\", \"stop_sequence\"],\n    \"frequencies.txt\" => [\"trip_id\", \"start_time\", \"end_time\"],\n    \"transfers.txt\" => [\"from_stop_id\", \"to_stop_id\"],\n    \"fare_attributes.txt\" => [\"fare_id\"],\n    \"fare_rules.txt\" => [\"fare_id\"],\n    \"fare_products.txt\" => [\"fare_product_id\"],\n    \"booking_rules.txt\" => [\"booking_rule_id\"],\n    \"shapes.txt\" => [\"shape_id\", \"shape_pt_sequence\"],\n    \"levels.txt\" => [\"level_id\"],\n    \"pathways.txt\" => [\"pathway_id\"],\n    \"calendar.txt\" => [\"service_id\"],\n    \"calendar_dates.txt\" => [\"service_id\", \"date\"],\n    \"feed_info.txt\" => [\"feed_publisher_name\"],\n    \"translations.txt\" => [\"table_name\", \"field_name\", \"language\", \"record_id\", \"record_sub_id\", \"field_value\"]\n  }\n\n  defp unzip_contains_file?(unzip, file_name) do\n    unzip\n    |> Unzip.list_entries()\n    |> Enum.any?(&(&1.file_name == file_name))\n  end\n\n  defp parse_from_unzip(unzip, file_name) do\n    if unzip_contains_file?(unzip, file_name) do\n      unzip\n      |> Unzip.file_stream!(file_name)\n      |> Stream.map(fn c -> IO.iodata_to_binary(c) end)\n      |> CSV.to_line_stream()\n      |> CSV.parse_stream(skip_headers: false)\n      |> parse_to_map(file_name)\n    else\n      %{}\n    end\n  end\n\n  defp parse_to_map(parsed_csv, file_name) do\n    primary_key = primary_key(file_name)\n\n    {res, _headers} =\n      parsed_csv\n      |> Enum.reduce({}, fn r, acc ->\n        if acc == {} do\n          {%{}, r |> Enum.map(fn h -> h |> String.replace_prefix(\"\\uFEFF\", \"\") end)}\n        else\n          {m, headers} = acc\n          new_row = headers |> Enum.zip(r) |> Enum.into(%{})\n          key = new_row |> row_key(primary_key)\n          {m |> Map.put(key, new_row), headers}\n        end\n      end)\n\n    res\n  end\n\n  def parse_diff_output(binary) do\n    {l, _headers} =\n      binary\n      |> CSV.parse_string(skip_headers: false)\n      |> Enum.reduce([], fn r, acc ->\n        if acc == [] do\n          {[], build_headers(r)}\n        else\n          {rows, headers} = acc\n          new_row = build_row(headers, r)\n          {[new_row | rows], headers}\n        end\n      end)\n\n    l |> Enum.reverse()\n  end\n\n  defp build_headers(headers) do\n    headers\n    |> Enum.map(&String.replace_prefix(&1, \"\\uFEFF\", \"\"))\n  end\n\n  defp build_row(headers, row) do\n    headers\n    |> Enum.zip(row)\n    |> Enum.into(%{})\n  end\n\n  defp get_headers(unzip, file_name) do\n    if unzip_contains_file?(unzip, file_name) do\n      unzip\n      |> Unzip.file_stream!(file_name)\n      |> Stream.map(fn c -> IO.iodata_to_binary(c) end)\n      |> CSV.to_line_stream()\n      |> CSV.parse_stream(skip_headers: false)\n      # cannot take only the headers, I crash\n      |> Enum.reduce({}, &save_headers_in_acc(&1, &2))\n    else\n      []\n    end\n  end\n\n  defp save_headers_in_acc(r, {}) do\n    r |> Enum.map(fn h -> h |> String.replace_prefix(\"\\uFEFF\", \"\") end)\n  end\n\n  defp save_headers_in_acc(_r, acc), do: acc\n\n  defp file_is_handled?(file_name), do: not (file_name |> primary_key() |> is_nil())\n\n  defp primary_key(file_name) do\n    Map.get(@primary_keys, file_name)\n  end\n\n  defp row_key(row, nil) do\n    # without a primary_key, the primary_key is the entire row\n    row\n  end\n\n  defp row_key(row, primary_key) do\n    row |> Map.take(primary_key)\n  end\n\n  defp get_delete_messages(deleted_ids, file_name) do\n    deleted_ids\n    |> Enum.map(fn identifier ->\n      %{file: file_name, action: \"delete\", target: \"row\", identifier: identifier}\n    end)\n  end\n\n  defp get_add_messages(added_ids, file_b, file_name) do\n    added_ids\n    |> Enum.map(fn identifier ->\n      added = file_b |> Map.fetch!(identifier)\n      %{file: file_name, action: \"add\", target: \"row\", identifier: identifier, new_value: added}\n    end)\n  end\n\n  defp get_update_messages(update_ids, file_a, file_b, file_name) do\n    check_value = fn a_value, key, b_value ->\n      case a_value do\n        ^b_value -> nil\n        _new_value -> %{initial_value: {key, a_value}, new_value: {key, b_value}}\n      end\n    end\n\n    update_ids\n    |> Enum.map(fn identifier ->\n      row_a = file_a |> Map.fetch!(identifier)\n      row_b = file_b |> Map.fetch!(identifier)\n\n      b_keys = row_b |> Map.keys()\n\n      arg =\n        b_keys\n        |> Enum.map(fn key ->\n          b_value = row_b |> Map.fetch!(key)\n\n          row_a |> Map.get(key, \"\") |> check_value.(key, b_value)\n        end)\n        |> Enum.reject(&is_nil/1)\n\n      if arg !== [] do\n        %{\n          file: file_name,\n          action: \"update\",\n          target: \"row\",\n          identifier: identifier,\n          initial_value: arg |> Enum.map(fn m -> m.initial_value end) |> Enum.into(%{}),\n          new_value: arg |> Enum.map(fn m -> m.new_value end) |> Enum.into(%{})\n        }\n      end\n    end)\n    |> Enum.reject(&is_nil/1)\n  end\n\n  defp diff_file(file_name, file_a, file_b) do\n    ids_a = file_a |> Map.keys()\n    ids_b = file_b |> Map.keys()\n\n    deleted_ids = ids_a -- ids_b\n    added_ids = ids_b -- ids_a\n\n    update_messages =\n      if file_name |> file_is_handled?() do\n        update_ids = ids_a -- deleted_ids\n        update_ids |> get_update_messages(file_a, file_b, file_name)\n      else\n        # if file is not handled, only add and delete can be detected.\n        []\n      end\n\n    delete_messages = deleted_ids |> get_delete_messages(file_name)\n    add_messages = added_ids |> get_add_messages(file_b, file_name)\n\n    delete_messages ++ add_messages ++ update_messages\n  end\n\n  defp compare_files(unzip_1, unzip_2, profile \\\\ \"full\") do\n    file_names_1 = unzip_1 |> list_entries(profile)\n    file_names_2 = unzip_2 |> list_entries(profile)\n    added_files = file_names_2 -- file_names_1\n    deleted_files = file_names_1 -- file_names_2\n\n    %{\n      added_files: added_files,\n      deleted_files: deleted_files,\n      same_files: file_names_2 -- added_files\n    }\n  end\n\n  defp file_diff(%{added_files: added_files, deleted_files: deleted_files}) do\n    added_files_diff =\n      added_files\n      |> Enum.map(fn file ->\n        %{file: file, action: \"add\", target: \"file\", identifier: %{filename: file}}\n      end)\n\n    deleted_files_diff =\n      deleted_files\n      |> Enum.map(fn file ->\n        %{file: file, action: \"delete\", target: \"file\", identifier: %{filename: file}}\n      end)\n\n    added_files_diff ++ deleted_files_diff\n  end\n\n  defp column_diff(unzip_1, unzip_2, %{same_files: same_files, added_files: added_files}) do\n    (same_files ++ added_files)\n    |> Enum.flat_map(fn file_name ->\n      column_name_1 = get_headers(unzip_1, file_name)\n\n      column_name_2 = get_headers(unzip_2, file_name)\n\n      added_column_diff =\n        (column_name_2 -- column_name_1)\n        |> Enum.map(fn column_name ->\n          %{\n            file: file_name,\n            action: \"add\",\n            target: \"column\",\n            identifier: %{column: column_name}\n          }\n        end)\n\n      deleted_column_diff =\n        (column_name_1 -- column_name_2)\n        |> Enum.map(fn column_name ->\n          %{\n            file: file_name,\n            action: \"delete\",\n            target: \"column\",\n            identifier: %{column: column_name}\n          }\n        end)\n\n      res = added_column_diff ++ deleted_column_diff\n      res\n    end)\n    |> Enum.reject(&(&1 == []))\n  end\n\n  defp row_diff(unzip_1, unzip_2, notify_func, locale, profile) do\n    file_names_2 = unzip_2 |> list_entries(profile)\n\n    file_names_2\n    |> Enum.flat_map(fn file_name ->\n      Logger.info(\"Computing diff for #{file_name}\")\n\n      unless is_nil(notify_func) do\n        file_name |> computing_diff_log_message(locale) |> notify_func.()\n      end\n\n      file_1 = parse_from_unzip(unzip_1, file_name)\n      file_2 = parse_from_unzip(unzip_2, file_name)\n      diff_file(file_name, file_1, file_2)\n    end)\n  end\n\n  defp computing_diff_log_message(file_name, locale) do\n    Gettext.with_locale(locale, fn ->\n      dgettext(\"gtfs-diff\", \"Computing diff for <code>%{file_name}</code>\", file_name: file_name)\n    end)\n  end\n\n  def diff(unzip_1, unzip_2, profile, notify_func, locale) do\n    files_comparison = compare_files(unzip_1, unzip_2)\n\n    file_diff = file_diff(files_comparison)\n    column_diff = column_diff(unzip_1, unzip_2, files_comparison)\n    row_diff = row_diff(unzip_1, unzip_2, notify_func, locale, profile)\n\n    diff = file_diff ++ column_diff ++ row_diff\n\n    diff |> Enum.with_index(&Map.merge(&1, %{id: &2}))\n  end\n\n  def dump_diff(diff, filepath) do\n    headers = [\"id\", \"file\", \"action\", \"target\", \"identifier\", \"initial_value\", \"new_value\", \"note\"]\n\n    body =\n      diff\n      |> Enum.map(fn m ->\n        [\n          Map.get(m, :id),\n          Map.get(m, :file),\n          Map.get(m, :action),\n          Map.get(m, :target),\n          m |> Map.get(:identifier) |> Jason.encode!(),\n          case m |> Map.get(:initial_value) do\n            nil -> nil\n            arg -> arg |> Jason.encode!()\n          end,\n          case m |> Map.get(:new_value) do\n            nil -> nil\n            arg -> arg |> Jason.encode!()\n          end,\n          Map.get(m, :note)\n        ]\n      end)\n\n    [headers | body]\n    |> CSV.dump_to_stream()\n    |> Stream.into(File.stream!(filepath))\n    |> Stream.run()\n  end\n\n  defp list_entries(unzip, profile) do\n    files = files_to_analyze(profile)\n    unzip |> Unzip.list_entries() |> Enum.map(&Map.get(&1, :file_name)) |> Enum.filter(fn elm -> elm in files end)\n  end\n\n  def files_to_analyze(profile) do\n    case profile do\n      \"core\" ->\n        [\"agency.txt\", \"calendar.txt\", \"calendar_dates.txt\", \"feed_info.txt\", \"routes.txt\", \"stops.txt\", \"trips.txt\"]\n\n      \"full\" ->\n        Map.keys(@primary_keys)\n\n      _ ->\n        []\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/gtfs_export_stops.ex",
    "content": "defmodule Transport.GTFSExportStops do\n  @moduledoc \"\"\"\n  A module to generate a flat-report from GTFS stops into a CSV for bizdevs.\n  \"\"\"\n  import Ecto.Query\n\n  def data_import_ids do\n    DB.DataImport\n    |> select([di], di.id)\n    |> order_by([di], di.id)\n    |> DB.Repo.all()\n  end\n\n  def build_stops_report(data_import_ids) do\n    agency =\n      DB.GTFS.Agency\n      |> select([a], %{\n        data_import_id: a.data_import_id,\n        agency_id: fragment(\"string_agg(?, ';')\", a.agency_id),\n        agency_name: fragment(\"string_agg(?, ';')\", a.agency_name)\n      })\n      |> group_by([a], a.data_import_id)\n      |> order_by([a], a.data_import_id)\n\n    DB.GTFS.Stops\n    |> where([s], s.data_import_id in ^data_import_ids)\n    |> order_by([s], [s.data_import_id, s.id])\n    |> join(:inner, [s], di in DB.DataImport, on: s.data_import_id == di.id)\n    |> join(:inner, [_, di], rh in DB.ResourceHistory, on: di.resource_history_id == rh.id)\n    |> join(:inner, [_, _, rh], r in DB.Resource, on: rh.resource_id == r.id)\n    |> join(:inner, [_, _, _, r], d in DB.Dataset, on: r.dataset_id == d.id)\n    |> join(:inner, [_, di, _, _, _], a in subquery(agency), on: a.data_import_id == di.id)\n    |> select([s, di, rh, r, d, a], %{\n      dataset_custom_title: d.custom_title,\n      dataset_organisation: d.organization,\n      dataset_id: d.id,\n      dataset_datagouv_id: d.datagouv_id,\n      resource_id: r.id,\n      resource_datagouv_id: r.datagouv_id,\n      resource_title: r.title,\n      di_id: di.id,\n      stop_id: s.stop_id,\n      stop_name: s.stop_name,\n      stop_lat: s.stop_lat,\n      stop_lon: s.stop_lon,\n      location_type: s.location_type,\n      agency_id: a.agency_id,\n      agency_name: a.agency_name\n    })\n  end\n\n  @headers [\n    :dataset_custom_title,\n    :dataset_organisation,\n    :dataset_id,\n    :dataset_datagouv_id,\n    :resource_id,\n    :resource_datagouv_id,\n    :resource_title,\n    :di_id,\n    :stop_id,\n    :stop_name,\n    :stop_lat,\n    :stop_lon,\n    :location_type,\n    :agency_id,\n    :agency_name\n  ]\n\n  def export_headers do\n    @headers\n    |> Enum.map(fn x -> Atom.to_string(x) end)\n  end\n\n  @doc \"\"\"\n  A flat export for the bizdev team to have a closer look at data.\n  \"\"\"\n  def export_stops_report(data_import_ids) do\n    data_import_ids\n    |> build_stops_report()\n    |> DB.Repo.all()\n    |> Enum.map(fn record ->\n      # build a list with same order as the headers\n      for header <- @headers, do: Map.fetch!(record, header)\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/gtfs_import_stops.ex",
    "content": "defmodule Transport.GTFSImportStops do\n  @moduledoc \"\"\"\n  A module to import stops in a single `DB.DataImport` for a given resource, based on `resource_history_id`.\n  \"\"\"\n\n  import Ecto.Query\n\n  @doc \"\"\"\n  For the given `resource_history_id`, imports stops and agencies in a new `DB.DataImport`, then delete all related\n  pre-existing `DB.DataImport` (either with the same `resource_history_id`, or for the same resource).\n  \"\"\"\n  def import_stops_and_remove_previous(resource_history_id) do\n    # Transaction timeout is at 15s currently, we may need to customize this here later\n    {:ok, data_import_id} =\n      DB.Repo.transaction(fn ->\n        data_import_id =\n          Transport.Jobs.GtfsToDB.import_gtfs_from_resource_history(resource_history_id, :stops_and_agencies)\n\n        resource_id = DB.Repo.get_by(DB.ResourceHistory, id: resource_history_id).resource_id\n\n        query =\n          from(rh in DB.ResourceHistory,\n            where: rh.resource_id == ^resource_id and rh.id != ^resource_history_id,\n            select: rh.id\n          )\n\n        resource_history_ids = query |> DB.Repo.all()\n\n        # NOTE: we may need to add an index on di.resource_history_id\n        DB.DataImport\n        # delete all previous data imports for the same resource history id\n        |> where([di], di.resource_history_id == ^resource_history_id and di.id != ^data_import_id)\n        # delete all previous data imports for the same resource but different resource history ids\n        |> or_where([di], di.resource_history_id in ^resource_history_ids)\n        |> DB.Repo.delete_all()\n\n        data_import_id\n      end)\n\n    data_import_id\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/gtfs_query.ex",
    "content": "defmodule Transport.GtfsQuery do\n  @moduledoc \"\"\"\n  Make queries on gtfs data imports for useful information extraction.\n  e.g. Get next departures from a stop\n  \"\"\"\n\n  def next_departures(stop_id, import_id, datetime_start, window_in_minutes) do\n    datetime_end = DateTime.add(datetime_start, window_in_minutes * 60, :second)\n    no_dates_before = datetime_start |> DateTime.to_date() |> Date.add(-2)\n\n    # GTFS Times are defined as \"The time is measured from \"noon minus 12h\" of the service day\"\n    # Hence the strange way to compute the effective departure time.\n    # https://developers.google.com/transit/gtfs/reference#field_types\n    query = \"\"\"\n      with stop_times as (select gst.*, gt.route_id, gt.service_id, gc.days, gc.start_date, gc.end_date from gtfs_stop_times gst\n      left join gtfs_trips gt on gst.trip_id = gt.trip_id and gst.data_import_id = gt.data_import_id\n      left join gtfs_calendar gc on gc.service_id = gt.service_id and gst.data_import_id = gc.data_import_id\n      where stop_id = $1 and gst.data_import_id = $2),\n      service_ids as (select distinct(service_id) from stop_times),\n      days_list as (\n        with gs as (\n        select generate_series(start_date, end_date, '1 day') as day, days, service_id from gtfs_calendar where service_id in (select * from service_ids) and end_date > $5 and data_import_id = $2\n        ),\n        gdow as (\n        select day::date, days, extract (isodow from day) as dow, service_id from gs\n        ),\n        exception_add as (\n        select date as day, service_id from gtfs_calendar_dates where exception_type = 1 and service_id in (select * from service_ids) and data_import_id = $2\n        ),\n        exception_remove as (\n        select date as day, service_id from gtfs_calendar_dates where exception_type = 2 and service_id in (select * from service_ids) and data_import_id = $2\n        ),\n        res as (\n        select * from gdow where dow = any(days) and day not in (select day from exception_remove er where er.service_id = gdow.service_id)\n        union select day, '{}', extract (isodow from day), service_id from exception_add\n        )\n        select distinct on (day, service_id) day, service_id from res order by day asc\n      ),\n      departures as (\n      select st.*, dl.day, dl.day + '12:00:00'::time - interval '12 hours' + st.departure_time as real_departure from stop_times st left join days_list dl on dl.service_id = st.service_id\n      )\n      select stop_id, trip_id, route_id, service_id, real_departure as departure from departures where real_departure > $3 and real_departure < $4 order by real_departure asc;\n    \"\"\"\n\n    %{columns: columns, rows: rows} =\n      Ecto.Adapters.SQL.query!(DB.Repo, query, [stop_id, import_id, datetime_start, datetime_end, no_dates_before])\n\n    rows |> Enum.map(fn row -> columns |> Enum.zip(row) |> Map.new() end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/gtfs_rt.ex",
    "content": "defmodule Transport.GTFSRT do\n  @moduledoc \"\"\"\n  A module to work with GTFS-RT feeds.\n  \"\"\"\n  require Logger\n  alias TransitRealtime.{Alert, FeedMessage, TimeRange, TranslatedString}\n  @entities [:service_alerts, :trip_updates, :vehicle_positions]\n\n  @spec decode_remote_feed(binary()) :: {:ok, TransitRealtime.FeedMessage.t()} | {:error, binary()}\n  def decode_remote_feed(url) do\n    case http_client().get(url, [], follow_redirect: true) do\n      {:ok, %HTTPoison.Response{status_code: 200, body: body}} ->\n        try do\n          data = TransitRealtime.FeedMessage.decode(body)\n          # The only supported value for now is `FULL_DATASET`.\n          # https://developers.google.com/transit/gtfs-realtime/reference#enum-incrementality\n          %{incrementality: :FULL_DATASET} = data.header\n          {:ok, data}\n        rescue\n          e ->\n            Logger.error(e)\n            {:error, \"Could not decode Protobuf\"}\n        end\n\n      {:ok, %HTTPoison.Response{status_code: status_code}} when status_code != 200 ->\n        {:error, \"Got a non 200 HTTP status code: #{status_code}\"}\n\n      {:error, %HTTPoison.Error{reason: reason}} ->\n        {:error, \"Got an HTTP error: #{inspect(reason)}\"}\n    end\n  end\n\n  def timestamp(%FeedMessage{} = feed) do\n    feed.header.timestamp |> DateTime.from_unix!()\n  end\n\n  @doc \"\"\"\n  Determines if a `FeedMessage` is too old, ie older than 5 minutes.\n\n  iex> feed_is_too_old?(%TransitRealtime.FeedMessage{header: %TransitRealtime.FeedHeader{timestamp: 1661847898}}, DateTime.from_unix!(1661847899))\n  false\n  iex> feed_is_too_old?(%TransitRealtime.FeedMessage{header: %TransitRealtime.FeedHeader{timestamp: 1661847898}}, DateTime.from_unix!(1661848199))\n  true\n  \"\"\"\n  def feed_is_too_old?(%FeedMessage{} = feed, comparison \\\\ DateTime.utc_now()) do\n    feed_timestamp_delay(feed, comparison) > 60 * 5\n  end\n\n  @doc \"\"\"\n  Number of seconds between the current datetime and the timestamp field of a feed.\n\n  iex> feed_timestamp_delay(%TransitRealtime.FeedMessage{header: %TransitRealtime.FeedHeader{timestamp: 1661847898}}, DateTime.from_unix!(1661847899))\n  1\n  \"\"\"\n  def feed_timestamp_delay(%FeedMessage{} = feed, comparison \\\\ DateTime.utc_now()) do\n    DateTime.diff(comparison, timestamp(feed), :second)\n  end\n\n  @doc \"\"\"\n  Count the number of entities in the feed.\n\n  Example:\n  ```\n  %{service_alerts: 12, trip_updates: 0, vehicle_positions: 0}\n  ```\n  \"\"\"\n  def count_entities(%FeedMessage{} = feed) do\n    @entities |> Enum.into(%{}, &{&1, feed |> filter_feed(&1) |> Enum.count()})\n  end\n\n  def filter_feed(%FeedMessage{entity: entity}, type) when type in @entities do\n    types = %{service_alerts: :alert, trip_updates: :trip_update, vehicle_positions: :vehicle}\n    field_to_use = Map.fetch!(types, type)\n    entity |> Enum.map(&Map.fetch!(&1, field_to_use)) |> Enum.reject(&is_nil/1)\n  end\n\n  def service_alerts(%FeedMessage{} = feed) do\n    filter_feed(feed, :service_alerts)\n  end\n\n  def trip_updates(%FeedMessage{} = feed) do\n    filter_feed(feed, :trip_updates)\n  end\n\n  def vehicle_positions(%FeedMessage{} = feed) do\n    filter_feed(feed, :vehicle_positions)\n  end\n\n  def has_service_alerts?(%FeedMessage{} = feed) do\n    not Enum.empty?(service_alerts(feed))\n  end\n\n  def service_alerts_for_display(%FeedMessage{} = feed, requested_language \\\\ \"fr\") do\n    # https://developers.google.com/transit/gtfs-realtime/reference#message-alert\n    feed\n    |> service_alerts()\n    |> Enum.map(fn %Alert{} = el ->\n      %{\n        effect: el.effect,\n        cause: el.cause,\n        header_text: best_translation(el.header_text, requested_language),\n        description_text: best_translation(el.description_text, requested_language),\n        url: best_translation(el.url, requested_language),\n        is_active: active?(el.active_period),\n        current_active_period: current_active_period(el.active_period)\n      }\n    end)\n  end\n\n  def best_translation(nil, _), do: nil\n\n  def best_translation(%TranslatedString{translation: translation}, requested_language)\n      when is_binary(requested_language) do\n    translation |> Enum.map(&fetch_translation(&1, requested_language)) |> Enum.reject(&is_nil(&1)) |> List.first()\n  end\n\n  def fetch_translation(\n        %TranslatedString.Translation{language: language, text: text},\n        requested_language\n      )\n      when is_binary(requested_language) do\n    cond do\n      requested_language == language -> text\n      is_nil(language) -> text\n      true -> nil\n    end\n  end\n\n  def active?([]), do: true\n\n  def active?(time_ranges) do\n    time_ranges |> Enum.map(&current?/1) |> Enum.any?()\n  end\n\n  def current_active_period(time_ranges) do\n    time_ranges\n    |> Enum.filter(&current?/1)\n    |> Enum.map(fn tr -> %{start: to_datetime(tr.start), end: to_datetime(tr.end)} end)\n    |> List.first()\n  end\n\n  defp to_datetime(nil), do: nil\n\n  defp to_datetime(timestamp) when is_integer(timestamp) do\n    DateTime.from_unix!(timestamp)\n  end\n\n  def current?(%TimeRange{start: nil, end: nil}), do: true\n\n  def current?(%TimeRange{start: start, end: nil}) when not is_nil(start) do\n    DateTime.compare(to_datetime(start), DateTime.utc_now()) == :lt\n  end\n\n  def current?(%TimeRange{start: nil, end: date_end}) when not is_nil(date_end) do\n    DateTime.compare(to_datetime(date_end), DateTime.utc_now()) == :gt\n  end\n\n  def current?(%TimeRange{start: date_start, end: date_end}) do\n    current?(%TimeRange{start: date_start}) and current?(%TimeRange{end: date_end})\n  end\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/history_fetcher.ex",
    "content": "defmodule Transport.History.Fetcher do\n  @moduledoc \"\"\"\n  Boundary for all retrieval resources' history, with an indirection to\n  the default implementation. This allows easy stubbing of history system\n  for tests which have no interest in it (that is: most of the tests).\n  \"\"\"\n  @callback history_resources(DB.Dataset.t()) :: [map()]\n  @callback history_resources(DB.Dataset.t(), keyword()) :: [map()]\n\n  def impl, do: Application.get_env(:transport, :history_impl)\n\n  def history_resources(%DB.Dataset{} = dataset, options \\\\ []) do\n    options =\n      Keyword.validate!(options,\n        max_records: nil,\n        preload_validations: true,\n        fetch_mode: :all,\n        only_metadata: false\n      )\n\n    impl().history_resources(dataset, options)\n  end\nend\n\ndefmodule Transport.History.Fetcher.Database do\n  @moduledoc \"\"\"\n  Fetch %DB.ResourceHistory models from the database\n  for a %DB.Dataset\n  \"\"\"\n  @behaviour Transport.History.Fetcher\n  import Ecto.Query\n\n  @impl true\n  def history_resources(%DB.Dataset{id: dataset_id}, options \\\\ []) do\n    # NOTE: default values are provided by the wrapper\n    preload_validations = Keyword.fetch!(options, :preload_validations)\n    only_metadata = Keyword.fetch!(options, :only_metadata)\n    max_records = Keyword.fetch!(options, :max_records)\n    fetch_mode = Keyword.fetch!(options, :fetch_mode)\n\n    query =\n      DB.MultiValidation.base_query()\n      |> distinct([mv], mv.resource_history_id)\n      |> order_by([mv], asc: mv.resource_history_id, desc: mv.inserted_at)\n\n    latest_resource_history_validation =\n      if only_metadata do\n        query\n        |> DB.ResourceMetadata.join_validation_with_metadata()\n        |> select([metadata: m], %{metadata: m})\n      else\n        query |> preload(:metadata)\n      end\n\n    dataset_id_sub1 =\n      DB.ResourceHistory.base_query()\n      |> where([resource_history: rh], fragment(\"(?->>'dataset_id')::bigint = ?\", rh.payload, ^dataset_id))\n      |> select([resource_history: rh], rh.id)\n\n    dataset_id_sub2 =\n      DB.ResourceHistory.base_query()\n      |> join(:left, [resource_history: rh], r in DB.Resource,\n        on: r.id == rh.resource_id,\n        as: :resource\n      )\n      |> where([resource: r, resource_history: _], r.dataset_id == ^dataset_id)\n      |> select([resource_history: rh], rh.id)\n\n    query =\n      DB.ResourceHistory.base_query()\n      |> where(\n        [resource_history: rh],\n        rh.id in subquery(union(dataset_id_sub1, ^dataset_id_sub2))\n      )\n      |> order_by([resource_history: rh], desc: rh.inserted_at)\n\n    query =\n      if preload_validations do\n        query |> preload([], validations: ^latest_resource_history_validation)\n      else\n        query\n      end\n      |> maybe_limit(max_records)\n\n    case fetch_mode do\n      :all -> DB.Repo.all(query)\n      :stream -> DB.Repo.stream(query)\n    end\n  end\n\n  defp maybe_limit(%Ecto.Query{} = query, nil), do: query\n  defp maybe_limit(%Ecto.Query{} = query, max_records), do: query |> limit(^max_records)\nend\n\ndefmodule Transport.History.Fetcher.Null do\n  @moduledoc \"\"\"\n  A default implementation returning an empty history,\n  useful as a default implementation for dev.\n  \"\"\"\n  @behaviour Transport.History.Fetcher\n\n  @impl true\n  def history_resources(%DB.Dataset{}, _options \\\\ []), do: []\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/import_data.ex",
    "content": "defmodule Transport.ImportData do\n  @moduledoc \"\"\"\n  Service use to import data from datagouv to psql\n  \"\"\"\n\n  alias Datagouvfr.Client.CommunityResources\n  alias DB.{Dataset, LogsImport, Repo, Resource}\n  alias Helpers\n  alias Transport.Shared.ResourceSchema\n  require Logger\n  import Ecto.Query\n\n  defp availability_checker, do: Transport.AvailabilityChecker.Wrapper.impl()\n\n  def max_import_concurrent_jobs do\n    Application.fetch_env!(:transport, :max_import_concurrent_jobs)\n  end\n\n  @spec import_all_datasets :: :ok\n  def import_all_datasets do\n    Logger.info(\"reimporting all active datasets\")\n\n    datasets = DB.Dataset.base_with_hidden_datasets() |> Repo.all()\n\n    results =\n      ImportTaskSupervisor\n      |> Task.Supervisor.async_stream_nolink(datasets, &import_dataset_logged/1,\n        max_concurrency: max_import_concurrent_jobs(),\n        timeout: 180_000,\n        on_timeout: :kill_task\n      )\n      |> Enum.to_list()\n\n    nb_failed =\n      results\n      |> Enum.count(&invalid_result?/1)\n\n    Logger.info(\"all datasets have been reimported (#{nb_failed} failures / #{Enum.count(results)})\")\n  end\n\n  @spec import_validate_all :: :ok\n  def import_validate_all do\n    import_all_datasets()\n    # validation is now gone, replaced by DB.MultiValidation\n  end\n\n  def refresh_autocomplete do\n    Logger.info(\"Refreshing places...\")\n    # NOTE: I could not find a way to call \"refresh_autocomplete()\" directly\n    {:ok, _result} = Repo.query(\"REFRESH MATERIALIZED VIEW autocomplete;\")\n  end\n\n  def generate_import_logs!(\n        %Dataset{id: dataset_id, datagouv_id: datagouv_id},\n        options\n      ) do\n    success = options |> Keyword.fetch!(:success)\n    msg = options |> Keyword.get(:msg)\n\n    now = DateTime.truncate(DateTime.utc_now(), :second)\n\n    insert_result =\n      Repo.insert(%LogsImport{\n        datagouv_id: datagouv_id,\n        timestamp: now,\n        is_success: success,\n        dataset_id: dataset_id,\n        error_msg: msg\n      })\n\n    # if the insertion fails, we retry with a basic error message\n    with {:error, _} <- insert_result do\n      Repo.insert(%LogsImport{\n        datagouv_id: datagouv_id,\n        timestamp: now,\n        is_success: success,\n        dataset_id: dataset_id,\n        error_msg: \"Error message could not be logged\"\n      })\n    end\n  end\n\n  @spec import_dataset_logged(DB.Dataset.t()) :: {:ok, Ecto.Schema.t()} | {:error, any}\n  def import_dataset_logged(dataset) do\n    result = import_dataset!(dataset)\n    generate_import_logs!(dataset, success: true)\n    {:ok, result}\n  rescue\n    e ->\n      generate_import_logs!(dataset, success: false, msg: inspect(e))\n\n      Logger.error(\"Import of dataset has failed (id:  #{dataset.id}, datagouv_id: #{dataset.datagouv_id})\")\n      Logger.error(Exception.format(:error, e, __STACKTRACE__))\n\n      {:error, inspect(e)}\n  end\n\n  @spec import_dataset!(DB.Dataset.t()) :: Ecto.Schema.t()\n  def import_dataset!(%Dataset{\n        datagouv_id: datagouv_id,\n        type: type\n      }) do\n    {:ok, dataset_map_from_data_gouv} = import_from_data_gouv(datagouv_id, type)\n    {:ok, changeset} = Dataset.changeset(dataset_map_from_data_gouv)\n    result = Repo.update!(changeset)\n\n    refresh_autocomplete()\n    result\n  end\n\n  @spec import_from_data_gouv(binary, binary) :: {:ok, map}\n  def import_from_data_gouv(datagouv_id, type) do\n    base_url = Application.fetch_env!(:transport, :datagouvfr_site)\n    url = \"#{base_url}/api/1/datasets/#{datagouv_id}/\"\n\n    Logger.info(\"Importing dataset #{datagouv_id} from data.gouv.fr (url = #{url})\")\n\n    http_client = Transport.Shared.Wrapper.HTTPoison.impl()\n\n    # We use a direct call with the HTTP client instead of using the datagouv API client module\n    # because of redirects.\n    # We'll have to verify the behaviour of hackney/httpoison for follow_redirect: how\n    # many redirects are allowed? Is an error raised after a while or not? etc.\n    response = http_client.get!(url, [], hackney: [follow_redirect: true])\n    json = Jason.decode!(response.body)\n    {:ok, dataset} = prepare_dataset_from_data_gouv_response(json, type)\n\n    {:ok, dataset}\n  end\n\n  @spec prepare_dataset_from_data_gouv_response(map, binary) :: {:error, any} | {:ok, map}\n  def prepare_dataset_from_data_gouv_response(%{\"message\" => error}, _), do: {:error, error}\n\n  def prepare_dataset_from_data_gouv_response(%{} = data_gouv_resp, type) do\n    dataset =\n      data_gouv_resp\n      |> Map.take([\"description\", \"id\", \"slug\", \"frequency\", \"tags\"])\n      |> Map.put(\"datagouv_title\", data_gouv_resp[\"title\"])\n      |> Map.put(\"datagouv_id\", data_gouv_resp[\"id\"])\n      |> Map.put(\"logo\", get_logo_thumbnail(data_gouv_resp))\n      |> Map.put(\"full_logo\", get_logo(data_gouv_resp))\n      |> Map.put(\"created_at\", parse_datetime(data_gouv_resp[\"created_at\"]))\n      |> Map.put(\"last_update\", parse_datetime(data_gouv_resp[\"last_update\"]))\n      |> Map.put(\"type\", type)\n      |> Map.put(\"organization\", data_gouv_resp[\"organization\"])\n      |> Map.put(\"resources\", get_resources(data_gouv_resp, type))\n      |> Map.put(\"nb_reuses\", get_nb_reuses(data_gouv_resp))\n      |> Map.put(\"licence\", licence(data_gouv_resp))\n      |> Map.put(\"archived_at\", parse_datetime(data_gouv_resp[\"archived\"]))\n      |> Map.put(\"is_active\", true)\n\n    case Map.get(data_gouv_resp, \"resources\") do\n      nil -> {:error, \"dataset #{data_gouv_resp[\"id\"]} has no resource\"}\n      _ -> {:ok, dataset}\n    end\n  end\n\n  @doc \"\"\"\n  Set the licence according to the datagouv response.\n\n  ## Examples\n\n  iex> licence(%{\"license\" => \"odc-odbl\"})\n  \"odc-odbl\"\n  iex> licence(\"odc-odbl\")\n  nil\n  \"\"\"\n  def licence(%{\"license\" => datagouv_licence}), do: datagouv_licence\n  def licence(_), do: nil\n\n  @doc \"\"\"\n  Get logo from datagouv dataset\n\n  ## Examples\n\n      iex> get_logo(%{\"organization\" => %{\"logo\" => \"logo\"}})\n      \"logo\"\n\n      iex> get_logo(%{\"organization\" => nil, \"owner\" => %{\"avatar\" => \"logo\"}})\n      \"logo\"\n\n  \"\"\"\n  @spec get_logo(map()) :: binary()\n  def get_logo(%{\"organization\" => %{\"logo\" => logo}}), do: logo\n  def get_logo(%{\"owner\" => %{\"avatar\" => logo}}), do: logo\n  def get_logo(_), do: nil\n\n  @doc \"\"\"\n  Get thumbnail from datagouv dataset\n\n  ## Examples\n\n      iex> get_logo_thumbnail(%{\"organization\" => %{\"logo_thumbnail\" => \"logo\"}})\n      \"logo\"\n\n      iex> get_logo_thumbnail(%{\"organization\" => nil, \"owner\" => %{\"avatar_thumbnail\" => \"logo\"}})\n      \"logo\"\n\n  \"\"\"\n  @spec get_logo_thumbnail(map()) :: binary()\n  def get_logo_thumbnail(%{\"organization\" => %{\"logo_thumbnail\" => logo}}), do: logo\n  def get_logo_thumbnail(%{\"owner\" => %{\"avatar_thumbnail\" => logo}}), do: logo\n  def get_logo_thumbnail(_), do: nil\n\n  @spec get_nb_reuses(map()) :: number()\n  def get_nb_reuses(%{\"metrics\" => %{\"reuses\" => reuses}}), do: reuses\n  def get_nb_reuses(_), do: 0\n\n  @spec get_resources(map(), binary()) :: [map()]\n  def get_resources(dataset, type) do\n    dataset\n    |> get_valid_resources(type)\n    |> Enum.concat(get_community_resources(dataset))\n    |> Enum.uniq_by(fn resource -> resource[\"url\"] end)\n    |> Enum.map_reduce(0, fn resource, display_position ->\n      is_community_resource = resource[\"is_community_resource\"] == true\n      existing_resource = get_existing_resource(resource, dataset[\"id\"]) || %{}\n\n      resource =\n        resource\n        |> Map.put(\"url\", cleaned_url(resource[\"url\"]))\n\n      format = Map.get(existing_resource, :format_override) || formated_format(resource, type, is_community_resource)\n\n      {%{\n         \"url\" => resource[\"url\"],\n         \"format\" => format,\n         \"title\" => get_title(resource),\n         \"last_import\" => DateTime.utc_now(),\n         \"last_update\" => parse_datetime(resource[\"last_modified\"]),\n         # For ODS gtfs as csv we do not have a 'latest' field\n         # (the 'latest' field is the stable data.gouv.fr url)\n         \"latest_url\" => resource[\"latest\"] || resource[\"url\"],\n         # GOTCHA: `filetype` is set to `file` for exports coming from ODS\n         # https://github.com/opendatateam/udata-ods/issues/250\n         \"filetype\" => resource[\"filetype\"],\n         \"type\" => formated_type(resource),\n         \"id\" => existing_resource[:id],\n         \"datagouv_id\" => resource[\"id\"],\n         \"is_available\" => availability_checker().available?(format, resource[\"url\"]),\n         \"is_community_resource\" => is_community_resource,\n         \"community_resource_publisher\" => get_publisher(resource),\n         \"description\" => resource[\"description\"],\n         \"filesize\" => resource[\"filesize\"],\n         \"original_resource_url\" => get_original_resource_url(resource),\n         \"schema_name\" => ResourceSchema.guess_name(resource, type),\n         \"schema_version\" => ResourceSchema.guess_version(resource),\n         \"metadata\" => resource[\"metadata\"],\n         \"display_position\" => display_position\n       }, display_position + 1}\n    end)\n    |> elem(0)\n  end\n\n  @doc \"\"\"\n  Clean or replace some resource' URLs.\n\n  iex> cleaned_url(\"http://exs.sismo2.cityway.fr/GTFS.aspx?key=SISMO&amp;OperatorCode=CG60L3\")\n  \"https://exs.sismo2.cityway.fr/GTFS.aspx?key=SISMO&OperatorCode=CG60L3\"\n  iex> cleaned_url(\"http://example.com/file.zip\")\n  \"http://example.com/file.zip\"\n  iex> cleaned_url(\"http://exs.sismo2.cityway.fr\")\n  \"https://exs.sismo2.cityway.fr\"\n  iex> cleaned_url(\"https://api.oisemob.cityway.fr/dataflow/offre-tc/download?provider=COROLIS_URB|COROLIS_INT&dataFormat=NETEX&dataProfil=OPENDATA\")\n  \"https://api.oisemob.cityway.fr/dataflow/offre-tc/download?provider=COROLIS_URB%7CCOROLIS_INT&dataFormat=NETEX&dataProfil=OPENDATA\"\n  \"\"\"\n  def cleaned_url(url) do\n    uri = URI.parse(url)\n\n    cond do\n      is_binary(uri.host) and String.match?(uri.host, ~r/^exs\\.(\\w)+\\.cityway\\.fr$/) ->\n        cleaned_query =\n          if is_nil(uri.query) do\n            nil\n          else\n            uri.query |> String.replace(\"&amp;\", \"&\")\n          end\n\n        %{uri | scheme: \"https\", query: cleaned_query, port: 443} |> URI.to_string()\n\n      is_binary(uri.host) and String.match?(uri.host, ~r/^api\\.(\\w)+\\.cityway\\.fr$/) ->\n        cleaned_query =\n          if is_nil(uri.query) do\n            nil\n          else\n            uri.query |> String.replace(\"|\", \"%7C\")\n          end\n\n        %{uri | scheme: \"https\", query: cleaned_query, port: 443} |> URI.to_string()\n\n      true ->\n        url\n    end\n  end\n\n  @spec get_valid_resources(map(), binary()) :: [map()]\n  def get_valid_resources(%{\"resources\" => resources}, \"public-transit\") do\n    resources\n    |> get_valid_gtfs_resources()\n    |> Enum.concat(get_valid_netex_resources(resources))\n    |> Enum.concat(get_valid_gtfs_rt_resources(resources))\n    |> Enum.concat(get_valid_siri_resources(resources))\n    |> Enum.concat(get_valid_siri_lite_resources(resources))\n    |> Enum.concat(get_valid_ssim_resources(resources))\n    |> Enum.concat(get_valid_documentation_resources(resources))\n  end\n\n  def get_valid_resources(%{\"resources\" => resources}, _type) do\n    resources\n  end\n\n  @spec get_valid_documentation_resources([map()]) :: [map()]\n  def get_valid_documentation_resources(resources) do\n    resources\n    |> Enum.filter(&documentation?/1)\n    |> Enum.map(fn resource -> %{resource | \"type\" => \"documentation\"} end)\n  end\n\n  @spec get_valid_gtfs_resources([map()]) :: [map()]\n  def get_valid_gtfs_resources(resources) do\n    cond do\n      !Enum.empty?(l = Enum.filter(resources, &gtfs?/1)) -> l\n      !Enum.empty?(l = Enum.filter(resources, &zip?/1)) -> l\n      true -> []\n    end\n  end\n\n  @spec get_valid_netex_resources([map()]) :: [map()]\n  def get_valid_netex_resources(resources) do\n    resources |> Enum.filter(&netex?/1) |> Enum.map(fn r -> %{r | \"format\" => \"NeTEx\"} end)\n  end\n\n  @spec get_valid_gtfs_rt_resources([map()]) :: [map()]\n  def get_valid_gtfs_rt_resources(resources) do\n    resources |> Enum.filter(&gtfs_rt?/1) |> Enum.map(fn r -> %{r | \"format\" => \"gtfs-rt\"} end)\n  end\n\n  @doc \"\"\"\n  iex> get_valid_siri_resources([%{\"format\" => \"siri\", \"id\" => 1}, %{\"format\" => \"xxx\", \"id\" => 2}])\n  [%{\"format\" => \"SIRI\", \"id\" => 1}]\n  \"\"\"\n  @spec get_valid_siri_resources([map()]) :: [map()]\n  def get_valid_siri_resources(resources) do\n    resources |> Enum.filter(&siri?/1) |> Enum.map(fn r -> %{r | \"format\" => \"SIRI\"} end)\n  end\n\n  @spec get_valid_siri_lite_resources([map()]) :: [map()]\n  def get_valid_siri_lite_resources(resources) do\n    resources |> Enum.filter(&siri_lite?/1) |> Enum.map(fn r -> %{r | \"format\" => \"SIRI Lite\"} end)\n  end\n\n  @spec get_valid_ssim_resources([map()]) :: [map()]\n  def get_valid_ssim_resources(resources) do\n    resources |> Enum.filter(&ssim?/1) |> Enum.map(fn r -> %{r | \"format\" => \"SSIM\"} end)\n  end\n\n  @spec get_community_resources(map()) :: [map()]\n  def get_community_resources(%{\"id\" => datagouv_id}) do\n    case CommunityResources.get(datagouv_id) do\n      {:ok, resources} ->\n        resources\n        |> Enum.map(fn r -> Map.put(r, \"is_community_resource\", true) end)\n\n      {:error, error} ->\n        Logger.warning(\"impossible to get community ressource for dataset #{datagouv_id} => #{inspect(error)}\")\n\n        []\n    end\n  end\n\n  @doc \"\"\"\n  iex> ods_resource?(%{\"format\" => \"json\", \"title\" => \"GTFS (json)\", \"harvest\" => %{\"uri\" => \"https://data.angers.fr/api/explore/v2.1/catalog/datasets/angers-loire-metropole-horaires-reseau-irigo-gtfs-rt/exports/json\"}})\n  true\n  iex> ods_resource?(%{\"format\" => \"GTFS\", \"title\" => \"GTFS été\"})\n  false\n  iex> ods_resource?(%{\"format\" => \"csv\", \"title\" => \"Export au format CSV\"})\n  true\n  iex> ods_resource?(%{\"format\" => \"csv\", \"title\" => \"Export au format CSV\"})\n  true\n  \"\"\"\n  # Will soon be legacy, after DCAT migration\n  # (see https://github.com/etalab/transport-site/issues/3647)\n  def ods_resource?(%{\"title\" => title})\n      when title in [\"Export au format CSV\", \"Export au format JSON\"],\n      do: true\n\n  def ods_resource?(%{\"harvest\" => %{\"uri\" => uri}}) do\n    # Possible URL:\n    # https://data.angers.fr/api/explore/v2.1/catalog/datasets/angers-loire-metropole-horaires-reseau-irigo-gtfs-rt/exports/json\n    String.match?(uri, ~r{/api/explore/v\\d+\\.\\d+/catalog/datasets/.*/exports/\\w+(\\?use_labels=(true|false))?$}i)\n  end\n\n  def ods_resource?(_), do: false\n\n  @doc \"\"\"\n  Is it a GTFS file?\n\n  ## Examples\n\n  iex> gtfs?(\"NeTEx\")\n  false\n  iex> gtfs?(\"sncf.tgv.GtFs.zip.tar.gz.7z\")\n  true\n  iex> gtfs?(%{\"format\" => \"gtfs-rt\"})\n  false\n  iex> gtfs?(%{\"format\" => \"pb\", \"url\" => \"https://example.com/GtfsRt/GtfsRT.TCRA.pb\"})\n  false\n  iex> gtfs?(%{\"format\" => \"gtfs\", \"description\" => \"Lien vers le fichier GTFS utilisé avec le GTFS-RT.\"})\n  true\n  iex> gtfs?(%{\"format\" => \"zip\", \"title\" => \"GTFS RTM\", \"url\" => \"https://example.com/api/Export/v1/GetExportedDataFile?ExportFormat=Gtfs&OperatorCode=RTM\"})\n  true\n  iex> gtfs?(%{\"description\" => \"gtfs\", \"title\" => \"Export au format CSV\"})\n  false\n  iex> gtfs?(%{\"title\" => \"Angers GTFS (json)\", \"format\" => \"json\", \"harvest\" => %{\"uri\" => \"https://example.com/api/explore/v2.1/catalog/datasets/foo/exports/json\"}})\n  false\n  iex> gtfs?(%{\"format\" => \"gtfs\", \"title\" => \"Export au format CSV\"})\n  true\n  iex> gtfs?(%{\"url\" => \"https://example.com/documentation-gtfs.pdf\", \"type\" => \"documentation\"})\n  false\n  \"\"\"\n  @spec gtfs?(map()) :: boolean()\n  # credo:disable-for-next-line\n  def gtfs?(%{} = params) do\n    cond do\n      gtfs?(params[\"format\"]) -> true\n      ods_resource?(params) or documentation?(params) -> false\n      gtfs_rt?(params) -> false\n      format?(params[\"url\"], [\"json\", \"csv\", \"shp\", \"pdf\", \"7z\"]) -> false\n      format?(params[\"format\"], \"NeTEx\") -> false\n      netex?(params[\"title\"]) -> false\n      gtfs?(params[\"title\"]) -> true\n      gtfs?(params[\"description\"]) -> true\n      true -> false\n    end\n  end\n\n  def gtfs?(str), do: format?(str, \"gtfs\") and not gtfs_rt?(str)\n\n  @doc \"\"\"\n  Is it a GTFS-RT feed?\n\n  ## Examples\n\n  iex> gtfs_rt?(%{\"format\" => \"pb\", \"url\" => \"https://example.com/GtfsRt/GtfsRT.TCRA.pb\"})\n  true\n  iex> gtfs_rt?(%{\"format\" => \"pb\", \"url\" => \"https://example.com/feed.pb\", \"title\" => \"GTFS-RT réseau ORIZO\"})\n  true\n  iex> gtfs_rt?(%{\"format\" => \"gtfs-rt\"})\n  true\n  iex> Enum.all?([\"GTFS RT\", \"gtfs rt\", \"GTFS-RT\"], &gtfs_rt?/1)\n  true\n  iex> Enum.all?([\"GTFS RTM\", \"gtfs théorique\", \"ZIP GTFS\"], &(! gtfs_rt?(&1)))\n  true\n  iex> gtfs_rt?(%{\"description\" => \"gtfs-rt\", \"title\" => \"Export au format CSV\"})\n  false\n  iex> gtfs_rt?(%{\"format\" => \"json\", \"title\" => \"GTFS-RT vehicle positions\", \"description\" => \"gtfs-rt\", \"harvest\" => %{\"uri\" => \"https://example.com/api/explore/v2.1/catalog/datasets/foo/exports/json\"}})\n  false\n  iex> gtfs_rt?(%{\"format\" => \"gtfs-rt\", \"title\" => \"Export au format CSV\"})\n  true\n  \"\"\"\n  @spec gtfs_rt?(binary() | map() | nil) :: boolean()\n  def gtfs_rt?(%{} = params) do\n    cond do\n      gtfs_rt?(params[\"format\"]) -> true\n      ods_resource?(params) or documentation?(params) -> false\n      gtfs_rt?(params[\"title\"]) -> true\n      gtfs_rt?(params[\"description\"]) -> true\n      gtfs_rt?(params[\"url\"]) -> true\n      true -> false\n    end\n  end\n\n  def gtfs_rt?(str) when is_binary(str), do: String.match?(str, ~r/\\b(gtfs-rt|gtfsrt|gtfs rt)\\b/i)\n  def gtfs_rt?(_), do: false\n\n  @doc \"\"\"\n  iex> documentation?(%{\"title\" => \"Fichier\", \"format\" => \"gtfs\"})\n  false\n  iex> documentation?(%{\"title\" => \"Fichier\", \"format\" => \"csv\"})\n  false\n  iex> documentation?(%{\"title\" => \"Description des données\", \"format\" => \"PDF\"})\n  true\n  iex> documentation?(%{\"type\" => \"documentation\", \"format\" => \"docx\"})\n  true\n  iex> documentation?(nil)\n  false\n  iex> documentation?(%{\"type\" => \"main\", \"title\" => \"Documentation SIRI\", \"format\" => \"xlsx\"})\n  true\n  \"\"\"\n  @spec documentation?(any()) :: boolean()\n  def documentation?(%{\"type\" => \"documentation\"}), do: true\n\n  def documentation?(%{\"title\" => resource_title, \"format\" => _} = args) do\n    String.match?(resource_title, ~r/\\bdocumentation\\b/i) or documentation_format?(args)\n  end\n\n  def documentation?(_), do: false\n\n  @doc \"\"\"\n  Determines if a format is likely a documentation format.\n\n  iex> documentation_format?(\"PDF\")\n  true\n  iex> documentation_format?(\"GTFS\")\n  false\n  \"\"\"\n  @spec documentation_format?(map() | binary() | nil) :: boolean()\n  def documentation_format?(%{\"format\" => format}), do: documentation_format?(format)\n\n  def documentation_format?(format) do\n    format?(format, [\"pdf\", \"svg\", \"html\"])\n  end\n\n  @doc \"\"\"\n  iex> siri?(\"siri lite\")\n  false\n  iex> siri?(\"SIRI\")\n  true\n  iex> siri?(%{\"format\" => \"SIRI\"})\n  true\n  iex> siri?(%{\"title\" => \"Export au format CSV\", \"format\" => \"SIRI\"})\n  false\n  iex> siri?(%{\"title\" => \"Flux SIRI\", \"format\" => \"csv\", \"harvest\" => %{\"uri\" => \"https://example.com/api/explore/v2.1/catalog/datasets/foo/exports/json\"}})\n  false\n  iex> siri?(%{\"title\" => \"https://api.okina.fr/gateway/cae/realtime\", \"format\" => \"bin\", \"description\" => \"API temps réel au format SIRI\"})\n  true\n  iex> siri?(%{\"type\" => \"documentation\", \"title\" => \"Documentation de l'API SIRI\"})\n  false\n  iex> siri?(%{\"description\" => \"SIRI CheckStatus, SIRI EstimatedTimetable, SIRI Lite VehicleMonitoring\", \"format\" => \"siri\"})\n  true\n  \"\"\"\n  @spec siri?(binary() | map() | nil) :: boolean()\n  def siri?(%{} = params) do\n    cond do\n      siri_lite?(params) -> false\n      ods_resource?(params) or documentation?(params) -> false\n      format?(params, \"siri\") -> true\n      siri?(params[\"title\"]) -> true\n      siri?(params[\"description\"]) -> true\n      siri?(params[\"url\"]) -> true\n      true -> false\n    end\n  end\n\n  def siri?(format), do: not siri_lite?(format) and format?(format, \"siri\")\n\n  @doc \"\"\"\n  iex> siri_lite?(\"siri lite\")\n  true\n  iex> siri_lite?(\"siri-lite\")\n  true\n  iex> siri_lite?(\"SIRI Lite\")\n  true\n  iex> siri_lite?(%{\"format\" => \"SIRI-Lite\"})\n  true\n  iex> siri_lite?(%{\"title\" => \"SIRI-Lite stop monitoring\", \"url\" => \"https://example.com/utw/ws/siri/2.0/stop-monitoring.json?AccountKey=opendata-flux-gtfs-rt\", \"format\" => \"octet-stream\", \"description\" => \"Informations au format SIRI-Lite\"})\n  true\n  iex> siri_lite?(\"SIRI\")\n  false\n  iex> siri_lite?(%{\"description\" => \"SIRI CheckStatus, SIRI EstimatedTimetable, SIRI Lite VehicleMonitoring\"})\n  false\n  \"\"\"\n  @spec siri_lite?(binary() | map() | nil) :: boolean()\n  def siri_lite?(%{} = params) do\n    cond do\n      isolated_siri_lite?(params) -> false\n      ods_resource?(params) or documentation?(params) -> false\n      format?(params, \"SIRI Lite\") -> true\n      siri_lite?(params[\"title\"]) -> true\n      siri_lite?(params[\"description\"]) -> true\n      siri_lite?(params[\"url\"]) -> true\n      true -> false\n    end\n  end\n\n  def siri_lite?(format), do: format?(format, \"SIRI Lite\")\n\n  @doc \"\"\"\n  Identify cases when the occurence of `SIRI Lite` appears\n  way less often than SIRI.\n  \"\"\"\n  def isolated_siri_lite?(%{\"description\" => description}) do\n    description = String.downcase(description || \"\")\n    count_siri_lite = Regex.scan(~r/siri( |-)lite/, description) |> length()\n    count_siri = Regex.scan(~r/siri/, description) |> length()\n    count_siri_lite < count_siri\n  end\n\n  def isolated_siri_lite?(_), do: false\n\n  @doc \"\"\"\n  iex> ssim?(\"ssim\")\n  true\n  iex> ssim?(\"SSIM\")\n  true\n  iex> ssim?(%{\"format\" => \"ssim\"})\n  true\n  iex> ssim?(\"gtfs\")\n  false\n  \"\"\"\n  @spec ssim?(binary() | map() | nil) :: boolean()\n  def ssim?(format), do: format?(format, \"SSIM\")\n\n  @doc \"\"\"\n  Does a format matches another format/list of candidate formats?\n\n  iex> format?(\"NeTEx\", [\"GTFS\", \"NeTEx\"])\n  true\n  iex> format?(\"pouet\", [\"GTFS\", \"NeTEx\"])\n  false\n  iex> format?(%{\"format\" => \"NeTEx\"}, \"NeTEx\")\n  true\n  iex> format?(\"siri lite\", \"SIRI-Lite\")\n  true\n  \"\"\"\n  @spec format?(binary() | map() | nil, binary() | [binary()]) :: boolean\n  def format?(nil, _), do: false\n  def format?(%{\"format\" => declared_format}, expected), do: format?(declared_format, expected)\n  def format?(value, [head | tail]), do: format?(value, head) || format?(value, tail)\n  def format?(_, []), do: false\n\n  def format?(str, expected),\n    do: String.contains?(clean_format(str), clean_format(expected))\n\n  @doc \"\"\"\n  iex> clean_format(\"GTFS-RT\")\n  \"gtfsrt\"\n  iex> clean_format(\"GTFS RT\")\n  \"gtfsrt\"\n  iex> clean_format(\"SIRI Lite\")\n  \"sirilite\"\n  iex> clean_format(\"Ne[-tex\")\n  \"ne[tex\"\n  \"\"\"\n  def clean_format(format),\n    do: format |> String.downcase() |> String.replace(~r/[^0-9a-zA-Z\\[\\]]/, \"\")\n\n  @doc \"\"\"\n  Is the ressource a zip file?\n\n  ## Examples\n      iex> zip?(%{\"mime\" => \"application/zip\", \"format\" => nil})\n      true\n\n      iex> zip?(%{\"mime\" => nil, \"format\" => \"zip\"})\n      true\n\n      iex> zip?(%{\"mime\" => nil, \"format\" => \"ZIP\"})\n      true\n\n      iex> zip?(%{\"mime\" => \"application/exe\", \"format\" => nil})\n      false\n  \"\"\"\n  @spec zip?(binary() | map() | nil) :: boolean()\n  def zip?(%{\"mime\" => nil, \"format\" => format}), do: zip?(format)\n  def zip?(%{\"mime\" => mime, \"format\" => nil}), do: zip?(mime)\n  def zip?(%{\"mime\" => mime, \"format\" => format}), do: zip?(mime) || zip?(format)\n  def zip?(str), do: format?(str, \"zip\")\n\n  @doc \"\"\"\n  Is the resource a NeTEx file?\n\n  ## Examples\n  iex> netex?(%{\"format\" => \"netex\"})\n  true\n  iex> netex?(%{\"description\" => \"Un super fichier NeTEx.\", \"format\" => \"zip\"})\n  true\n  iex> netex?(%{\"url\" => \"https://example.com/netex.zip\", \"format\" => \"zip\"})\n  true\n  iex> netex?(%{\"url\" => \"https://example.com/export.zip\", \"format\" => \"zip\", \"title\" => \"Export NeTEx été\"})\n  true\n  iex> netex?(%{\"url\" => \"https://example.com/gtfs.zip\", \"format\" => \"zip\"})\n  false\n  iex> netex?(%{\"url\" => \"https://example.com/doc-netex.pdf\", \"type\" => \"documentation\"})\n  false\n  iex> netex?(%{\"title\" => \"Export au format CSV\", \"format\" => \"netex\"})\n  true\n  iex> netex?(%{\"title\" => \"Angers NeTEx (json)\", \"format\" => \"json\", \"harvest\" => %{\"uri\" => \"https://example.com/api/explore/v2.1/catalog/datasets/foo/exports/json\"}})\n  false\n  \"\"\"\n  @spec netex?(binary() | map() | nil) :: boolean()\n  def netex?(%{} = params) do\n    cond do\n      netex?(params[\"format\"]) -> true\n      ods_resource?(params) or documentation?(params) -> false\n      netex?(params[\"title\"]) -> true\n      netex?(params[\"description\"]) -> true\n      netex?(params[\"url\"]) -> true\n      true -> false\n    end\n  end\n\n  def netex?(s), do: format?(s, \"NeTEx\")\n\n  @doc \"\"\"\n  Check for download uri, returns [\"no_download_url\"] if there's no download_url\n\n  ## Examples\n\n      iex> check_download_url(%{\"download_url\" => nil})\n      false\n\n      iex> check_download_url(%{\"download_url\" => \"http\"})\n      true\n\n  \"\"\"\n  @spec check_download_url(map()) :: boolean()\n  def check_download_url(%{\"download_url\" => nil}), do: false\n  def check_download_url(%{\"download_url\" => _}), do: true\n\n  @doc \"\"\"\n  Parses an ISO 8601 string into a datetime.\n\n  iex> parse_datetime(\"2018-09-28T13:37:00+00:00\")\n  ~U[2018-09-28 13:37:00Z]\n  iex> parse_datetime(nil)\n  nil\n  \"\"\"\n  @spec parse_datetime(binary() | nil) :: DateTime.t() | nil\n  def parse_datetime(date) when is_binary(date) do\n    {:ok, datetime, 0} = DateTime.from_iso8601(date)\n    datetime\n  end\n\n  def parse_datetime(nil), do: nil\n\n  @doc \"\"\"\n  Formats the file format in a human readable form\n\n  ## Examples\n\n      iex> %{\"last_modified\" => \"2017-11-29T23:54:05\", \"url\" => \"http1\", \"format\" => \"gtfs.zip\", \"mime\" => \"foo\"}\n      ...> |> ImportData.formated_format(\"\", false)\n      \"GTFS\"\n\n      iex> %{\"last_modified\" => \"2017-11-29T23:54:05\", \"url\" => \"http1\", \"format\" => \"xls\", \"mime\" => \"foo\"}\n      ...> |> ImportData.formated_format(\"\", false)\n      \"xls\"\n\n      iex> %{\"format\" => \"csv\"}\n      ...> |> ImportData.formated_format(\"public-transit\", false)\n      \"GTFS\"\n\n      iex> %{\"url\" => \"https://example.com/gbfs.json\"}\n      ...> |> ImportData.formated_format(\"vehicles-sharing\", false)\n      \"gbfs\"\n\n      iex> %{\"url\" => \"https://example.com/gbfs/v2\"}\n      ...> |> ImportData.formated_format(\"vehicles-sharing\", false)\n      \"gbfs\"\n\n      iex> %{\"url\" => \"https://example.com/gbfs/free_bike_status.json\", \"format\" => \"json\"}\n      ...> |> ImportData.formated_format(\"vehicles-sharing\", false)\n      \"json\"\n\n      iex> formated_format(%{\"url\" => \"https://data.strasbourg.eu/api/datasets/1.0/zfe_voie_exception/alternative_exports/zfe_voie_speciale_eurometropole_strasbourg_geojson\", \"format\" => \"a\"}, \"low-emission-zones\", false)\n      \"geojson\"\n\n      iex> formated_format(%{\"format\" => \"GeoJSON\"}, \"low-emission-zones\", false)\n      \"geojson\"\n\n      iex> formated_format(%{\"format\" => \"siri-lite\"}, \"public-transit\", false)\n      \"SIRI Lite\"\n\n      iex> formated_format(%{\"format\" => \"pdf\", \"type\" => \"documentation\"}, \"public-transit\", false)\n      \"pdf\"\n\n      iex> formated_format(%{\"format\" => \"zip\", \"description\" => \"Lieux de mobilités au format netex\"}, \"locations\", false)\n      \"NeTEx\"\n\n      iex> formated_format(%{\"format\" => \"zip\", \"title\" => \"files-netex-half-summer-autumn-2023.zip\"}, \"public-transit\", false)\n      \"NeTEx\"\n\n      iex> formated_format(%{\"format\" => \"zip\", \"title\" => \"gtfs.zip\", \"description\" => \"GTFS qui va avec le GTFS-RT\"}, \"public-transit\", false)\n      \"GTFS\"\n\n      iex> formated_format(%{\"format\" => \"netex\", \"title\" => \"Export au format CSV\"}, \"public-transit\", false)\n      \"NeTEx\"\n\n      iex> formated_format(%{\"format\" => \"json\", \"url\" => \"https://bdx.mecatran.com/utw/ws/siri/2.0/bordeaux/stop-monitoring.json\"}, \"public-transit\", false)\n      \"SIRI Lite\"\n\n      iex> formated_format(%{\"format\" => \"SSIM\"}, \"public-transit\", false)\n      \"SSIM\"\n  \"\"\"\n  @spec formated_format(map(), binary(), bool()) :: binary()\n  def formated_format(%{\"url\" => \"https://bdx.mecatran.com/utw/ws/siri/2.0/\" <> _}, _, _) do\n    \"SIRI Lite\"\n  end\n\n  # credo:disable-for-next-line\n  def formated_format(resource, type, is_community_resource) do\n    format = Map.get(resource, \"format\", \"\")\n    is_documentation = Map.get(resource, \"type\", \"\") == \"documentation\"\n\n    cond do\n      gtfs_rt?(format) -> \"gtfs-rt\"\n      netex?(resource) -> \"NeTEx\"\n      gtfs?(resource) -> \"GTFS\"\n      siri_lite?(format) -> \"SIRI Lite\"\n      siri?(format) -> \"SIRI\"\n      geojson?(resource, format) -> \"geojson\"\n      ssim?(format) -> \"SSIM\"\n      type == \"public-transit\" and not is_documentation and not is_community_resource -> \"GTFS\"\n      type == \"vehicles-sharing\" and gbfs?(resource) -> \"gbfs\"\n      true -> format\n    end\n  end\n\n  @doc \"\"\"\n  iex> formated_type(%{\"type\" => \"main\", \"format\" => \"pdf\", \"title\" => \"Fichier\"})\n  \"documentation\"\n  iex> formated_type(%{\"type\" => \"main\", \"format\" => \"GTFS\", \"title\" => \"Fichier\"})\n  \"main\"\n  \"\"\"\n  @spec formated_type(map()) :: binary()\n  def formated_type(%{\"type\" => type} = resource) do\n    if documentation?(resource) do\n      \"documentation\"\n    else\n      type\n    end\n  end\n\n  defp geojson?(%{\"url\" => url}, format), do: format?(format, \"geojson\") or String.ends_with?(url, \"geojson\")\n  defp geojson?(_, format), do: format?(format, \"geojson\")\n\n  @doc \"\"\"\n  iex> url = \"https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/velhop_gbfs/exports/csv?use_labels=false\"\n  iex> gbfs?(%{\"url\" => url , \"format\" => \"csv\", \"harvest\" => %{\"uri\" => url}})\n  false\n  iex> gbfs?(%{\"url\" => \"https://example.com/gbfs/free_bike_status.json\", \"format\" => \"json\"})\n  false\n  iex> gbfs?(%{\"url\" => \"https://example.com/gbfs/gbfs.json\", \"format\" => \"json\"})\n  true\n  \"\"\"\n  def gbfs?(%{\"url\" => url} = params) do\n    cond do\n      ods_resource?(params) ->\n        false\n\n      String.contains?(url, \"gbfs\") ->\n        Enum.all?([\"free_bike\", \"station\"] |> Enum.map(fn w -> not String.contains?(url, w) end))\n\n      true ->\n        false\n    end\n  end\n\n  @doc \"\"\"\n  Gets the title of a resource or returns its filename if it doesn’t exist\n\n  ## Examples\n\n      iex> get_title(%{\"title\" => \"Timetables\", \"url\" => \"https://example.com/bus.gtfs.zip\"})\n      \"Timetables\"\n\n      iex> get_title(%{\"title\" => nil, \"url\" => \"https://example.com/bus.gtfs.zip\"})\n      \"bus.gtfs.zip\"\n\n      iex> get_title(%{\"url\" => \"https://example.com/bus.gtfs.zip\"})\n      \"bus.gtfs.zip\"\n  \"\"\"\n  @spec get_title(map()) :: binary()\n  def get_title(%{\"title\" => title}) when not is_nil(title), do: title\n  def get_title(%{\"url\" => url}), do: Helpers.filename_from_url(url)\n\n  @spec get_existing_resource(map(), binary()) :: Resource.t() | nil\n  # ODS CSV resources are identified only with their URL, as their resource datagouv id is not unique.\n  # For regular resources, we can identify them by resource datagouv id or by their url.\n  defp get_existing_resource(%{\"is_ods_csv\" => true, \"url\" => url}, dataset_datagouv_id) do\n    get_existing_resource_by_url(url, dataset_datagouv_id)\n  end\n\n  defp get_existing_resource(%{\"url\" => url, \"id\" => resource_datagouv_id}, dataset_datagouv_id) do\n    get_existing_resource_by_datagouv_id(resource_datagouv_id, dataset_datagouv_id) ||\n      get_existing_resource_by_url(url, dataset_datagouv_id)\n  end\n\n  defp get_existing_resource_by_url(url, dataset_datagouv_id) do\n    Resource\n    |> join(:inner, [r], d in Dataset, on: r.dataset_id == d.id)\n    |> where([r, d], r.url == ^url and d.datagouv_id == ^dataset_datagouv_id)\n    |> select([r], map(r, [:id, :format_override]))\n    |> Repo.one()\n  end\n\n  defp get_existing_resource_by_datagouv_id(resource_datagouv_id, dataset_datagouv_id) do\n    Resource\n    |> join(:inner, [r], d in Dataset, on: r.dataset_id == d.id)\n    |> where([r, d], r.datagouv_id == ^resource_datagouv_id and d.datagouv_id == ^dataset_datagouv_id)\n    |> select([r], map(r, [:id, :format_override]))\n    |> Repo.one()\n  end\n\n  @spec get_original_resource_url(map()) :: binary() | nil\n  def get_original_resource_url(%{\"extras\" => %{\"transport:original_resource_url\" => url}}),\n    do: url\n\n  def get_original_resource_url(_), do: nil\n\n  @spec invalid_result?({:exit, any} | {:ok, any}) :: boolean\n  defp invalid_result?({:ok, {:error, _}}), do: true\n  defp invalid_result?({:ok, _}), do: false\n  defp invalid_result?({:exit, _}), do: true\n\n  defp get_publisher(%{\"organization\" => %{\"name\" => name}}), do: name\n\n  defp get_publisher(%{\"owner\" => %{\"first_name\" => first_name, \"last_name\" => last_name}}),\n    do: first_name <> \" \" <> last_name\n\n  defp get_publisher(_), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/import_data_worker.ex",
    "content": "defmodule Transport.ImportDataWorker do\n  @moduledoc \"\"\"\n  ImportDataworker to launch importation and validation tasks\n  \"\"\"\n  use GenServer\n  alias Transport.ImportData\n  require Logger\n\n  ## API ##\n\n  @spec import_validate_all :: :ok\n  def import_validate_all do\n    GenServer.cast(__MODULE__, {:import_and_validation})\n  end\n\n  @spec force_validate_gtfs_transport :: :ok\n  def force_validate_gtfs_transport do\n    GenServer.cast(__MODULE__, {:force_validate_gtfs_transport})\n  end\n\n  def start_link([]) do\n    GenServer.start_link(__MODULE__, :ok, name: __MODULE__)\n  end\n\n  ## GenServer implementations\n\n  @impl true\n  def init(stack) do\n    {:ok, stack}\n  end\n\n  @impl true\n  def handle_cast({:import_and_validation}, state) do\n    ImportData.import_validate_all()\n    {:noreply, state}\n  rescue\n    e ->\n      Logger.error(\"error in the import data worker : #{inspect(e)}\")\n      Sentry.capture_exception(e)\n  end\n\n  @impl true\n  def handle_cast({:force_validate_gtfs_transport}, state) do\n    %{\n      \"force_validation\" => true,\n      \"only_latest_resource_history\" => true\n    }\n    |> Transport.Jobs.GTFSValidationJob.new()\n    |> Oban.insert()\n\n    {:noreply, state}\n  end\n\n  @impl true\n  def handle_info(_msg, state) do\n    {:noreply, state}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/log_cleaner.ex",
    "content": "defmodule Transport.LogCleaner do\n  @moduledoc \"\"\"\n  Clean the old logs_import and logs_validation\n  \"\"\"\n  alias DB.{LogsImport, Repo}\n  import Ecto.Query\n  require Logger\n\n  @nb_days_to_keep 31\n\n  def clean_old_logs do\n    limit =\n      DateTime.utc_now()\n      |> DateTime.add(-1 * 24 * 3600 * @nb_days_to_keep, :second)\n      |> DateTime.truncate(:second)\n\n    nb_import_before = count_logs_import()\n    Logger.info(\"cleaning old logs older than #{limit}.\")\n    Logger.info(\"There are #{nb_import_before} import logs\")\n\n    LogsImport\n    |> where([l], l.timestamp < ^limit)\n    |> Repo.delete_all()\n\n    Logger.info(\"cleaned #{nb_import_before - count_logs_import()} import logs\")\n  end\n\n  defp count_logs_import, do: Repo.aggregate(LogsImport, :count, :id)\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/log_time_taken.ex",
    "content": "defmodule Transport.LogTimeTaken do\n  @moduledoc \"\"\"\n  Provides code to easily measure time taken by an operation\n  all while returning the computed value\n  \"\"\"\n  defmacro __using__(_opts) do\n    quote do\n      require Logger\n    end\n  end\n\n  require Logger\n\n  def log_time_taken(message, cb) do\n    {delay, result} = :timer.tc(cb)\n    Logger.info(\"#{message} took #{delay / 1_000_000.0} seconds\")\n    result\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/notification_reason.ex",
    "content": "defmodule Transport.NotificationReason do\n  @moduledoc \"\"\"\n  Provides common code for notification reasons used in DB.NotificationSubscription and DB.Notification.\n  \"\"\"\n\n  # Rules explanations for reasons:\n  # 1. scope: reasons are scoped either to a specific dataset or to the platform.\n  # (In some cases for reusers, «platform» means scoped to followed datasets, not all datasets.)\n  # 2. possible roles: reasons can be subscribed to by either producers or reusers.\n  # 3. disallow_subscription: some reasons can’t be subscribed to,\n  # but they exist because they are valid for notifications.\n  # (In this case, it’s the platform that decides when to send them, without the user subscribing to them.)\n  # 4. hide_from_user: some reasons are hidden from the user interface, but can be subscribed in CLI or backoffice.\n\n  use Gettext, backend: TransportWeb.Gettext\n\n  @possible_roles [:producer, :reuser]\n\n  @reasons_rules %{\n    expiration: %{\n      scope: :dataset,\n      possible_roles: [:producer, :reuser]\n    },\n    dataset_with_error: %{\n      scope: :dataset,\n      possible_roles: [:producer, :reuser]\n    },\n    resource_unavailable: %{\n      scope: :dataset,\n      possible_roles: [:producer, :reuser]\n    },\n    resources_changed: %{\n      scope: :dataset,\n      possible_roles: [:reuser]\n    },\n    new_dataset: %{\n      scope: :platform,\n      possible_roles: [:reuser]\n    },\n    datasets_switching_climate_resilience_bill: %{\n      scope: :platform,\n      possible_roles: [:reuser],\n      hide_from_user: [:reuser]\n    },\n    daily_new_comments: %{\n      scope: :platform,\n      possible_roles: [:producer, :reuser],\n      hide_from_user: [:producer]\n    },\n    dataset_now_on_nap: %{\n      scope: :dataset,\n      possible_roles: [:producer],\n      disallow_subscription: true\n    },\n    periodic_reminder_producers: %{\n      scope: :platform,\n      possible_roles: [:producer],\n      disallow_subscription: true\n    },\n    promote_producer_space: %{\n      scope: :platform,\n      possible_roles: [:producer],\n      disallow_subscription: true\n    },\n    promote_reuser_space: %{\n      scope: :platform,\n      possible_roles: [:reuser],\n      disallow_subscription: true\n    },\n    warn_user_inactivity: %{\n      scope: :platform,\n      possible_roles: [:producer, :reuser],\n      disallow_subscription: true\n    },\n    visit_proxy_statistics: %{\n      scope: :platform,\n      possible_roles: [:producer],\n      disallow_subscription: true\n    },\n    visit_download_statistics: %{\n      scope: :platform,\n      possible_roles: [:producer],\n      disallow_subscription: true\n    }\n  }\n\n  @platform_reasons @reasons_rules |> Map.filter(fn {_, attributes} -> attributes.scope == :platform end) |> Map.keys()\n  @dataset_reasons @reasons_rules |> Map.filter(fn {_, attributes} -> attributes.scope == :dataset end) |> Map.keys()\n  @all_reasons @reasons_rules |> Map.keys()\n\n  # https://elixirforum.com/t/using-module-attributes-in-typespec-definitions-to-reduce-duplication/42374/2\n  types = Enum.reduce(@possible_roles, &{:|, [], [&1, &2]})\n  @type role :: unquote(types)\n  types = Enum.reduce(@all_reasons, &{:|, [], [&1, &2]})\n  @type reason :: unquote(types)\n  types = Enum.reduce(@platform_reasons, &{:|, [], [&1, &2]})\n  @type platform_reason :: unquote(types)\n  types = Enum.reduce(@dataset_reasons, &{:|, [], [&1, &2]})\n  @type dataset_reason :: unquote(types)\n\n  @spec all_reasons :: [reason()]\n  def all_reasons, do: @all_reasons\n\n  @doc \"\"\"\n  This method provides a consistent manner to reference a `Transport.NotificationReason.reason`.\n  This is useful when searching for code related to a reason, as it allows you to easily\n  find all references to a particular reason.\n  *\n  The custom type `reason` helps us be safer at compile time, by preventing us from accidentally\n  passing in an invalid reason value.\n  \"\"\"\n  @spec reason(reason()) :: reason()\n  def reason(reason) when reason in @all_reasons, do: reason\n\n  @doc \"\"\"\n  This is also used in `DB.Notification`, but not for now in `DB.NotificationSubscription`.\n  \"\"\"\n  @spec possible_roles() :: [role()]\n  def possible_roles, do: @possible_roles\n\n  @doc \"\"\"\n  iex> subscribable_reasons() |> MapSet.new()\n  MapSet.new([:daily_new_comments, :dataset_with_error, :datasets_switching_climate_resilience_bill, :expiration, :new_dataset, :resource_unavailable, :resources_changed])\n  \"\"\"\n  @spec subscribable_reasons :: [reason()]\n  def subscribable_reasons do\n    @reasons_rules\n    |> Map.filter(fn\n      {_, %{disallow_subscription: true}} -> false\n      _ -> true\n    end)\n    |> Map.keys()\n  end\n\n  def unsuscribable_reasons do\n    @reasons_rules\n    |> Map.filter(fn\n      {_, %{disallow_subscription: true}} -> true\n      _ -> false\n    end)\n    |> Map.keys()\n  end\n\n  @doc \"\"\"\n  iex> reasons_for_role(:reuser) |> MapSet.new()\n  MapSet.new([:daily_new_comments, :dataset_with_error, :datasets_switching_climate_resilience_bill, :expiration, :new_dataset, :promote_reuser_space, :resource_unavailable, :resources_changed, :warn_user_inactivity])\n  \"\"\"\n  @spec reasons_for_role(role()) :: [reason()]\n  def reasons_for_role(role) do\n    @reasons_rules\n    |> Map.filter(fn\n      {_, %{possible_roles: possible_roles}} -> role in possible_roles\n      _ -> false\n    end)\n    |> Map.keys()\n  end\n\n  @spec subscribable_reasons_for_role(role()) :: [reason()]\n  def subscribable_reasons_for_role(role) do\n    reasons_for_role(role)\n    |> MapSet.new()\n    |> MapSet.intersection(MapSet.new(subscribable_reasons()))\n    |> MapSet.to_list()\n  end\n\n  @doc \"\"\"\n  iex> hidden_reasons_for_role(:reuser)\n  [:datasets_switching_climate_resilience_bill]\n  \"\"\"\n  @spec hidden_reasons_for_role(role()) :: [reason()]\n  def hidden_reasons_for_role(role) do\n    @reasons_rules\n    |> Map.filter(fn\n      {_, %{hide_from_user: hide_from_user}} -> role in hide_from_user\n      _ -> false\n    end)\n    |> Map.keys()\n  end\n\n  @spec reasons_related_to_datasets :: [dataset_reason()]\n  def reasons_related_to_datasets, do: @dataset_reasons\n\n  @spec platform_wide_reasons :: [platform_reason()]\n  def platform_wide_reasons, do: @platform_reasons\n\n  @doc \"\"\"\n  iex> subscribable_reasons_related_to_datasets(:reuser) != subscribable_reasons_related_to_datasets(:producer)\n  true\n  \"\"\"\n  @spec subscribable_reasons_related_to_datasets(role()) :: [reason()]\n  def subscribable_reasons_related_to_datasets(role) do\n    MapSet.new(reasons_related_to_datasets())\n    |> MapSet.intersection(MapSet.new(reasons_for_role(role)))\n    |> MapSet.intersection(MapSet.new(subscribable_reasons()))\n    |> MapSet.to_list()\n  end\n\n  @doc \"\"\"\n  iex> subscribable_platform_wide_reasons(:reuser) != subscribable_platform_wide_reasons(:producer)\n  true\n  iex> subscribable_platform_wide_reasons(:producer)\n  [:daily_new_comments]\n  iex> subscribable_platform_wide_reasons(:reuser)\n  [:daily_new_comments, :datasets_switching_climate_resilience_bill, :new_dataset]\n  \"\"\"\n  @spec subscribable_platform_wide_reasons(role()) :: [reason()]\n  def subscribable_platform_wide_reasons(role) do\n    platform_wide_reasons()\n    |> MapSet.new()\n    |> MapSet.intersection(MapSet.new(reasons_for_role(role)))\n    |> MapSet.intersection(MapSet.new(subscribable_reasons()))\n    |> MapSet.to_list()\n  end\n\n  @doc \"\"\"\n  iex> shown_subscribable_platform_wide_reasons(:reuser)\n  [:daily_new_comments, :new_dataset]\n  \"\"\"\n  @spec shown_subscribable_platform_wide_reasons(role()) :: [reason()]\n  def shown_subscribable_platform_wide_reasons(role) do\n    (subscribable_platform_wide_reasons(role) -- hidden_reasons_for_role(role)) |> Enum.sort()\n  end\n\n  @doc \"\"\"\n  The following configuration map for translations can’t be merged in the global configuration map\n  because module attributes are compiled and not evaluated, which would freeze the translation to default locale.\n  \"\"\"\n  @spec reason_to_str(reason() | binary()) :: binary()\n  def reason_to_str(reason) when is_binary(reason), do: reason |> String.to_existing_atom() |> reason_to_str()\n\n  def reason_to_str(reason) do\n    Map.fetch!(\n      %{\n        expiration: dgettext(\"notification_subscription\", \"expiration\"),\n        dataset_with_error: dgettext(\"notification_subscription\", \"dataset_with_error\"),\n        resource_unavailable: dgettext(\"notification_subscription\", \"resource_unavailable\"),\n        dataset_now_on_nap: dgettext(\"notification_subscription\", \"dataset_now_on_nap\"),\n        new_dataset: dgettext(\"notification_subscription\", \"new_dataset\"),\n        datasets_switching_climate_resilience_bill:\n          dgettext(\"notification_subscription\", \"datasets_switching_climate_resilience_bill\"),\n        daily_new_comments: dgettext(\"notification_subscription\", \"daily_new_comments\"),\n        resources_changed: dgettext(\"notification_subscription\", \"resources_changed\"),\n        periodic_reminder_producers: dgettext(\"notification_subscription\", \"periodic_reminder_producers\"),\n        promote_producer_space: dgettext(\"notification_subscription\", \"promote_producer_space\"),\n        promote_reuser_space: dgettext(\"notification_subscription\", \"promote_reuser_space\"),\n        warn_user_inactivity: dgettext(\"notification_subscription\", \"warn_user_inactivity\")\n      },\n      reason\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/phoenix_dashboard_telemetry.ex",
    "content": "defmodule Transport.PhoenixDashboardTelemetry do\n  @moduledoc \"\"\"\n  setup telemetry for the phoenix live dashboard\n  https://hexdocs.pm/phoenix_live_dashboard/Phoenix.LiveDashboard.html\n  \"\"\"\n  use Supervisor\n  import Telemetry.Metrics\n\n  def start_link(arg) do\n    Supervisor.start_link(__MODULE__, arg, name: __MODULE__)\n  end\n\n  @impl true\n  def init(_arg) do\n    children = [\n      # Telemetry poller will execute the given period measurements\n      # every 10_000ms. Learn more here: https://hexdocs.pm/telemetry_metrics\n      {:telemetry_poller, measurements: periodic_measurements(), period: 10_000}\n      # Add reporters as children of your supervision tree.\n      # {Telemetry.Metrics.ConsoleReporter, metrics: metrics()}\n    ]\n\n    Supervisor.init(children, strategy: :one_for_one)\n  end\n\n  def metrics do\n    [\n      # Phoenix Metrics\n      summary(\"phoenix.endpoint.stop.duration\",\n        unit: {:native, :millisecond}\n      ),\n      summary(\"phoenix.router_dispatch.stop.duration\",\n        tags: [:route],\n        unit: {:native, :millisecond}\n      ),\n\n      # Database Time Metrics\n      summary(\"db.repo.query.total_time\", unit: {:native, :millisecond}),\n      summary(\"db.repo.query.decode_time\", unit: {:native, :millisecond}),\n      summary(\"db.repo.query.query_time\", unit: {:native, :millisecond}),\n      summary(\"db.repo.query.queue_time\", unit: {:native, :millisecond}),\n      summary(\"db.repo.query.idle_time\", unit: {:native, :millisecond}),\n\n      # VM Metrics\n      summary(\"vm.memory.total\", unit: {:byte, :kilobyte}),\n      summary(\"vm.total_run_queue_lengths.total\"),\n      summary(\"vm.total_run_queue_lengths.cpu\"),\n      summary(\"vm.total_run_queue_lengths.io\")\n    ]\n  end\n\n  defp periodic_measurements do\n    []\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/preemptive_api_cache.ex",
    "content": "defmodule Transport.PreemptiveAPICache do\n  @moduledoc \"\"\"\n  A module that populates the Cachex cache for the /api/datasets endpoint (\"api-datasets-index\")\n  \"\"\"\n\n  use Transport.PreemptiveBaseCache,\n    first_run: :timer.seconds(30),\n    job_delay: :timer.seconds(300),\n    # more than twice job_delay to reduce the risk of parallel computation\n    cache_ttl: :timer.seconds(700)\n\n  require Logger\n\n  def populate_cache do\n    Logger.info(\"[preemptive-api-cache] Populating cache for /api/datasets…\")\n\n    Transport.Cache.put(\n      \"api-datasets-index\",\n      # NOTE: the structure saved in Cachex is currently an Elixir structure,\n      # not the final JSON. We may have to persist JSON directly instead to\n      # reduce memory use in the future.\n      TransportWeb.API.DatasetController.prepare_datasets_index_data(),\n      @cache_ttl\n    )\n\n    Logger.info(\"[preemptive-api-cache] Finished populating cache for /api/datasets.\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/preemptive_base_cache.ex",
    "content": "defmodule Transport.PreemptiveBaseCache do\n  @moduledoc \"\"\"\n  Common code for preemptive caches. This module is a macro that generates a GenServer,\n  which will populate a cache at regular intervals (similar to a cron job).\n\n  Usage:\n  ```\n  use Transport.PreemptiveBaseCache,\n    first_run: 0,\n    job_delay: :timer.seconds(300),\n    cache_ttl: :timer.seconds(700)\n  ```\n  The module in which it is used must implement the `populate_cache/0` function, that will be regularly called.\n\n  - First run indicates the time to wait before the first run of the job between the start of the application and the first run.\n  - Job delay indicates the time to wait between each run of the job.\n  - Cache TTL indicates the time to keep the cache alive.\n  \"\"\"\n  defmacro __using__(opts) do\n    quote do\n      use GenServer\n\n      @first_run unquote(opts[:first_run])\n      @job_delay unquote(opts[:job_delay])\n      @cache_ttl unquote(opts[:cache_ttl])\n\n      def cache_ttl, do: @cache_ttl\n\n      def start_link(_opts) do\n        GenServer.start_link(__MODULE__, %{})\n      end\n\n      def init(state) do\n        schedule_next_occurrence(@first_run)\n\n        {:ok, state}\n      end\n\n      def schedule_next_occurrence(delay) do\n        Process.send_after(self(), :tick, delay)\n      end\n\n      def handle_info(:tick, state) do\n        schedule_next_occurrence(@job_delay)\n        populate_cache()\n        {:noreply, state}\n      end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/preemptive_home_stats_cache.ex",
    "content": "defmodule Transport.PreemptiveHomeStatsCache do\n  @moduledoc \"\"\"\n  A module that populates the Cachex cache for the home page stats (\"home-index-stats\")\n  \"\"\"\n\n  use Transport.PreemptiveBaseCache,\n    first_run: 0,\n    job_delay: :timer.hours(4),\n    # more than twice job_delay to reduce the risk of parallel computation\n    cache_ttl: :timer.hours(9)\n\n  require Logger\n\n  def populate_cache do\n    Logger.info(\"[preemptive-home-cache] Populating cache for homepage stats…\")\n\n    Transport.Cache.put(\n      \"home-index-stats\",\n      TransportWeb.PageController.compute_home_index_stats(),\n      @cache_ttl\n    )\n\n    Logger.info(\"[preemptive-home-cache] Finished populating cache for homepage stats.\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/preemptive_stats_cache.ex",
    "content": "defmodule Transport.PreemptiveStatsCache do\n  @moduledoc \"\"\"\n  A module that populates the Cachex cache for the /stats and /api/stats/* endpoints\n  \"\"\"\n\n  use Transport.PreemptiveBaseCache,\n    # Let’s give some time for the system to boot up before we start and the API cache to be populated\n    first_run: :timer.minutes(1),\n    job_delay: :timer.hours(3),\n    # more than twice job_delay to reduce the risk of parallel computation\n    cache_ttl: :timer.hours(7)\n\n  require Logger\n\n  def populate_cache do\n    Logger.info(\"[preemptive-stats-cache] Populating cache for stats…\")\n    Transport.Cache.put(\"stats-page-index\", Transport.StatsHandler.compute_stats(), @cache_ttl)\n\n    Transport.Cache.put(\n      \"api-stats-aoms\",\n      TransportWeb.API.StatsController.rendered_geojson(:aoms, timeout: :timer.seconds(60)),\n      @cache_ttl\n    )\n\n    Transport.Cache.put(\n      \"api-stats-quality\",\n      TransportWeb.API.StatsController.rendered_geojson(:quality, timeout: :timer.seconds(60)),\n      @cache_ttl\n    )\n\n    Logger.info(\"[preemptive-stats-cache] Finished populating cache for stats.\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/protobuf/gtfs-realtime.pb.ex",
    "content": "defmodule TransitRealtime.FeedHeader.Incrementality do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:FULL_DATASET, 0)\n  field(:DIFFERENTIAL, 1)\nend\n\ndefmodule TransitRealtime.TripUpdate.StopTimeUpdate.ScheduleRelationship do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:SCHEDULED, 0)\n  field(:SKIPPED, 1)\n  field(:NO_DATA, 2)\n  field(:UNSCHEDULED, 3)\nend\n\ndefmodule TransitRealtime.TripUpdate.StopTimeUpdate.StopTimeProperties.DropOffPickupType do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:REGULAR, 0)\n  field(:NONE, 1)\n  field(:PHONE_AGENCY, 2)\n  field(:COORDINATE_WITH_DRIVER, 3)\nend\n\ndefmodule TransitRealtime.VehiclePosition.VehicleStopStatus do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:INCOMING_AT, 0)\n  field(:STOPPED_AT, 1)\n  field(:IN_TRANSIT_TO, 2)\nend\n\ndefmodule TransitRealtime.VehiclePosition.CongestionLevel do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:UNKNOWN_CONGESTION_LEVEL, 0)\n  field(:RUNNING_SMOOTHLY, 1)\n  field(:STOP_AND_GO, 2)\n  field(:CONGESTION, 3)\n  field(:SEVERE_CONGESTION, 4)\nend\n\ndefmodule TransitRealtime.VehiclePosition.OccupancyStatus do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:EMPTY, 0)\n  field(:MANY_SEATS_AVAILABLE, 1)\n  field(:FEW_SEATS_AVAILABLE, 2)\n  field(:STANDING_ROOM_ONLY, 3)\n  field(:CRUSHED_STANDING_ROOM_ONLY, 4)\n  field(:FULL, 5)\n  field(:NOT_ACCEPTING_PASSENGERS, 6)\n  field(:NO_DATA_AVAILABLE, 7)\n  field(:NOT_BOARDABLE, 8)\nend\n\ndefmodule TransitRealtime.Alert.Cause do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:UNKNOWN_CAUSE, 1)\n  field(:OTHER_CAUSE, 2)\n  field(:TECHNICAL_PROBLEM, 3)\n  field(:STRIKE, 4)\n  field(:DEMONSTRATION, 5)\n  field(:ACCIDENT, 6)\n  field(:HOLIDAY, 7)\n  field(:WEATHER, 8)\n  field(:MAINTENANCE, 9)\n  field(:CONSTRUCTION, 10)\n  field(:POLICE_ACTIVITY, 11)\n  field(:MEDICAL_EMERGENCY, 12)\nend\n\ndefmodule TransitRealtime.Alert.Effect do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:NO_SERVICE, 1)\n  field(:REDUCED_SERVICE, 2)\n  field(:SIGNIFICANT_DELAYS, 3)\n  field(:DETOUR, 4)\n  field(:ADDITIONAL_SERVICE, 5)\n  field(:MODIFIED_SERVICE, 6)\n  field(:OTHER_EFFECT, 7)\n  field(:UNKNOWN_EFFECT, 8)\n  field(:STOP_MOVED, 9)\n  field(:NO_EFFECT, 10)\n  field(:ACCESSIBILITY_ISSUE, 11)\nend\n\ndefmodule TransitRealtime.Alert.SeverityLevel do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:UNKNOWN_SEVERITY, 1)\n  field(:INFO, 2)\n  field(:WARNING, 3)\n  field(:SEVERE, 4)\nend\n\ndefmodule TransitRealtime.TripDescriptor.ScheduleRelationship do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:SCHEDULED, 0)\n  field(:ADDED, 1)\n  field(:UNSCHEDULED, 2)\n  field(:CANCELED, 3)\n  field(:REPLACEMENT, 5)\n  field(:DUPLICATED, 6)\n  field(:DELETED, 7)\n  field(:NEW, 8)\nend\n\ndefmodule TransitRealtime.VehicleDescriptor.WheelchairAccessible do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:NO_VALUE, 0)\n  field(:UNKNOWN, 1)\n  field(:WHEELCHAIR_ACCESSIBLE, 2)\n  field(:WHEELCHAIR_INACCESSIBLE, 3)\nend\n\ndefmodule TransitRealtime.Stop.WheelchairBoarding do\n  @moduledoc false\n\n  use Protobuf, enum: true, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:UNKNOWN, 0)\n  field(:AVAILABLE, 1)\n  field(:NOT_AVAILABLE, 2)\nend\n\ndefmodule TransitRealtime.FeedMessage do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:header, 1, required: true, type: TransitRealtime.FeedHeader)\n  field(:entity, 2, repeated: true, type: TransitRealtime.FeedEntity)\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.FeedHeader do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:gtfs_realtime_version, 1, required: true, type: :string, json_name: \"gtfsRealtimeVersion\")\n\n  field(:incrementality, 2,\n    optional: true,\n    type: TransitRealtime.FeedHeader.Incrementality,\n    default: :FULL_DATASET,\n    enum: true\n  )\n\n  field(:timestamp, 3, optional: true, type: :uint64)\n  field(:feed_version, 4, optional: true, type: :string, json_name: \"feedVersion\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.FeedEntity do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:id, 1, required: true, type: :string)\n  field(:is_deleted, 2, optional: true, type: :bool, json_name: \"isDeleted\", default: false)\n  field(:trip_update, 3, optional: true, type: TransitRealtime.TripUpdate, json_name: \"tripUpdate\")\n  field(:vehicle, 4, optional: true, type: TransitRealtime.VehiclePosition)\n  field(:alert, 5, optional: true, type: TransitRealtime.Alert)\n  field(:shape, 6, optional: true, type: TransitRealtime.Shape)\n  field(:stop, 7, optional: true, type: TransitRealtime.Stop)\n\n  field(:trip_modifications, 8,\n    optional: true,\n    type: TransitRealtime.TripModifications,\n    json_name: \"tripModifications\"\n  )\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TripUpdate.StopTimeEvent do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:delay, 1, optional: true, type: :int32)\n  field(:time, 2, optional: true, type: :int64)\n  field(:uncertainty, 3, optional: true, type: :int32)\n  field(:scheduled_time, 4, optional: true, type: :int64, json_name: \"scheduledTime\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TripUpdate.StopTimeUpdate.StopTimeProperties do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:assigned_stop_id, 1, optional: true, type: :string, json_name: \"assignedStopId\")\n  field(:stop_headsign, 2, optional: true, type: :string, json_name: \"stopHeadsign\")\n\n  field(:pickup_type, 3,\n    optional: true,\n    type: TransitRealtime.TripUpdate.StopTimeUpdate.StopTimeProperties.DropOffPickupType,\n    json_name: \"pickupType\",\n    enum: true\n  )\n\n  field(:drop_off_type, 4,\n    optional: true,\n    type: TransitRealtime.TripUpdate.StopTimeUpdate.StopTimeProperties.DropOffPickupType,\n    json_name: \"dropOffType\",\n    enum: true\n  )\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TripUpdate.StopTimeUpdate do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:stop_sequence, 1, optional: true, type: :uint32, json_name: \"stopSequence\")\n  field(:stop_id, 4, optional: true, type: :string, json_name: \"stopId\")\n  field(:arrival, 2, optional: true, type: TransitRealtime.TripUpdate.StopTimeEvent)\n  field(:departure, 3, optional: true, type: TransitRealtime.TripUpdate.StopTimeEvent)\n\n  field(:departure_occupancy_status, 7,\n    optional: true,\n    type: TransitRealtime.VehiclePosition.OccupancyStatus,\n    json_name: \"departureOccupancyStatus\",\n    enum: true\n  )\n\n  field(:schedule_relationship, 5,\n    optional: true,\n    type: TransitRealtime.TripUpdate.StopTimeUpdate.ScheduleRelationship,\n    json_name: \"scheduleRelationship\",\n    default: :SCHEDULED,\n    enum: true\n  )\n\n  field(:stop_time_properties, 6,\n    optional: true,\n    type: TransitRealtime.TripUpdate.StopTimeUpdate.StopTimeProperties,\n    json_name: \"stopTimeProperties\"\n  )\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TripUpdate.TripProperties do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:trip_id, 1, optional: true, type: :string, json_name: \"tripId\")\n  field(:start_date, 2, optional: true, type: :string, json_name: \"startDate\")\n  field(:start_time, 3, optional: true, type: :string, json_name: \"startTime\")\n  field(:shape_id, 4, optional: true, type: :string, json_name: \"shapeId\")\n  field(:trip_headsign, 5, optional: true, type: :string, json_name: \"tripHeadsign\")\n  field(:trip_short_name, 6, optional: true, type: :string, json_name: \"tripShortName\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TripUpdate do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:trip, 1, required: true, type: TransitRealtime.TripDescriptor)\n  field(:vehicle, 3, optional: true, type: TransitRealtime.VehicleDescriptor)\n\n  field(:stop_time_update, 2,\n    repeated: true,\n    type: TransitRealtime.TripUpdate.StopTimeUpdate,\n    json_name: \"stopTimeUpdate\"\n  )\n\n  field(:timestamp, 4, optional: true, type: :uint64)\n  field(:delay, 5, optional: true, type: :int32)\n\n  field(:trip_properties, 6,\n    optional: true,\n    type: TransitRealtime.TripUpdate.TripProperties,\n    json_name: \"tripProperties\"\n  )\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.VehiclePosition.CarriageDetails do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:id, 1, optional: true, type: :string)\n  field(:label, 2, optional: true, type: :string)\n\n  field(:occupancy_status, 3,\n    optional: true,\n    type: TransitRealtime.VehiclePosition.OccupancyStatus,\n    json_name: \"occupancyStatus\",\n    default: :NO_DATA_AVAILABLE,\n    enum: true\n  )\n\n  field(:occupancy_percentage, 4,\n    optional: true,\n    type: :int32,\n    json_name: \"occupancyPercentage\",\n    default: -1\n  )\n\n  field(:carriage_sequence, 5, optional: true, type: :uint32, json_name: \"carriageSequence\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.VehiclePosition do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:trip, 1, optional: true, type: TransitRealtime.TripDescriptor)\n  field(:vehicle, 8, optional: true, type: TransitRealtime.VehicleDescriptor)\n  field(:position, 2, optional: true, type: TransitRealtime.Position)\n  field(:current_stop_sequence, 3, optional: true, type: :uint32, json_name: \"currentStopSequence\")\n  field(:stop_id, 7, optional: true, type: :string, json_name: \"stopId\")\n\n  field(:current_status, 4,\n    optional: true,\n    type: TransitRealtime.VehiclePosition.VehicleStopStatus,\n    json_name: \"currentStatus\",\n    default: :IN_TRANSIT_TO,\n    enum: true\n  )\n\n  field(:timestamp, 5, optional: true, type: :uint64)\n\n  field(:congestion_level, 6,\n    optional: true,\n    type: TransitRealtime.VehiclePosition.CongestionLevel,\n    json_name: \"congestionLevel\",\n    enum: true\n  )\n\n  field(:occupancy_status, 9,\n    optional: true,\n    type: TransitRealtime.VehiclePosition.OccupancyStatus,\n    json_name: \"occupancyStatus\",\n    enum: true\n  )\n\n  field(:occupancy_percentage, 10, optional: true, type: :uint32, json_name: \"occupancyPercentage\")\n\n  field(:multi_carriage_details, 11,\n    repeated: true,\n    type: TransitRealtime.VehiclePosition.CarriageDetails,\n    json_name: \"multiCarriageDetails\"\n  )\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.Alert do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:active_period, 1,\n    repeated: true,\n    type: TransitRealtime.TimeRange,\n    json_name: \"activePeriod\"\n  )\n\n  field(:informed_entity, 5,\n    repeated: true,\n    type: TransitRealtime.EntitySelector,\n    json_name: \"informedEntity\"\n  )\n\n  field(:cause, 6,\n    optional: true,\n    type: TransitRealtime.Alert.Cause,\n    default: :UNKNOWN_CAUSE,\n    enum: true\n  )\n\n  field(:effect, 7,\n    optional: true,\n    type: TransitRealtime.Alert.Effect,\n    default: :UNKNOWN_EFFECT,\n    enum: true\n  )\n\n  field(:url, 8, optional: true, type: TransitRealtime.TranslatedString)\n\n  field(:header_text, 10,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"headerText\"\n  )\n\n  field(:description_text, 11,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"descriptionText\"\n  )\n\n  field(:tts_header_text, 12,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"ttsHeaderText\"\n  )\n\n  field(:tts_description_text, 13,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"ttsDescriptionText\"\n  )\n\n  field(:severity_level, 14,\n    optional: true,\n    type: TransitRealtime.Alert.SeverityLevel,\n    json_name: \"severityLevel\",\n    default: :UNKNOWN_SEVERITY,\n    enum: true\n  )\n\n  field(:image, 15, optional: true, type: TransitRealtime.TranslatedImage)\n\n  field(:image_alternative_text, 16,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"imageAlternativeText\"\n  )\n\n  field(:cause_detail, 17,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"causeDetail\"\n  )\n\n  field(:effect_detail, 18,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"effectDetail\"\n  )\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TimeRange do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:start, 1, optional: true, type: :uint64)\n  field(:end, 2, optional: true, type: :uint64)\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.Position do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:latitude, 1, required: true, type: :float)\n  field(:longitude, 2, required: true, type: :float)\n  field(:bearing, 3, optional: true, type: :float)\n  field(:odometer, 4, optional: true, type: :double)\n  field(:speed, 5, optional: true, type: :float)\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TripDescriptor.ModifiedTripSelector do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:modifications_id, 1, optional: true, type: :string, json_name: \"modificationsId\")\n  field(:affected_trip_id, 2, optional: true, type: :string, json_name: \"affectedTripId\")\n  field(:start_time, 3, optional: true, type: :string, json_name: \"startTime\")\n  field(:start_date, 4, optional: true, type: :string, json_name: \"startDate\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TripDescriptor do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:trip_id, 1, optional: true, type: :string, json_name: \"tripId\")\n  field(:route_id, 5, optional: true, type: :string, json_name: \"routeId\")\n  field(:direction_id, 6, optional: true, type: :uint32, json_name: \"directionId\")\n  field(:start_time, 2, optional: true, type: :string, json_name: \"startTime\")\n  field(:start_date, 3, optional: true, type: :string, json_name: \"startDate\")\n\n  field(:schedule_relationship, 4,\n    optional: true,\n    type: TransitRealtime.TripDescriptor.ScheduleRelationship,\n    json_name: \"scheduleRelationship\",\n    enum: true\n  )\n\n  field(:modified_trip, 7,\n    optional: true,\n    type: TransitRealtime.TripDescriptor.ModifiedTripSelector,\n    json_name: \"modifiedTrip\"\n  )\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.VehicleDescriptor do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:id, 1, optional: true, type: :string)\n  field(:label, 2, optional: true, type: :string)\n  field(:license_plate, 3, optional: true, type: :string, json_name: \"licensePlate\")\n\n  field(:wheelchair_accessible, 4,\n    optional: true,\n    type: TransitRealtime.VehicleDescriptor.WheelchairAccessible,\n    json_name: \"wheelchairAccessible\",\n    default: :NO_VALUE,\n    enum: true\n  )\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.EntitySelector do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:agency_id, 1, optional: true, type: :string, json_name: \"agencyId\")\n  field(:route_id, 2, optional: true, type: :string, json_name: \"routeId\")\n  field(:route_type, 3, optional: true, type: :int32, json_name: \"routeType\")\n  field(:trip, 4, optional: true, type: TransitRealtime.TripDescriptor)\n  field(:stop_id, 5, optional: true, type: :string, json_name: \"stopId\")\n  field(:direction_id, 6, optional: true, type: :uint32, json_name: \"directionId\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TranslatedString.Translation do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:text, 1, required: true, type: :string)\n  field(:language, 2, optional: true, type: :string)\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TranslatedString do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:translation, 1, repeated: true, type: TransitRealtime.TranslatedString.Translation)\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TranslatedImage.LocalizedImage do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:url, 1, required: true, type: :string)\n  field(:media_type, 2, required: true, type: :string, json_name: \"mediaType\")\n  field(:language, 3, optional: true, type: :string)\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TranslatedImage do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:localized_image, 1,\n    repeated: true,\n    type: TransitRealtime.TranslatedImage.LocalizedImage,\n    json_name: \"localizedImage\"\n  )\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.Shape do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:shape_id, 1, optional: true, type: :string, json_name: \"shapeId\")\n  field(:encoded_polyline, 2, optional: true, type: :string, json_name: \"encodedPolyline\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.Stop do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:stop_id, 1, optional: true, type: :string, json_name: \"stopId\")\n\n  field(:stop_code, 2,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"stopCode\"\n  )\n\n  field(:stop_name, 3,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"stopName\"\n  )\n\n  field(:tts_stop_name, 4,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"ttsStopName\"\n  )\n\n  field(:stop_desc, 5,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"stopDesc\"\n  )\n\n  field(:stop_lat, 6, optional: true, type: :float, json_name: \"stopLat\")\n  field(:stop_lon, 7, optional: true, type: :float, json_name: \"stopLon\")\n  field(:zone_id, 8, optional: true, type: :string, json_name: \"zoneId\")\n  field(:stop_url, 9, optional: true, type: TransitRealtime.TranslatedString, json_name: \"stopUrl\")\n  field(:parent_station, 11, optional: true, type: :string, json_name: \"parentStation\")\n  field(:stop_timezone, 12, optional: true, type: :string, json_name: \"stopTimezone\")\n\n  field(:wheelchair_boarding, 13,\n    optional: true,\n    type: TransitRealtime.Stop.WheelchairBoarding,\n    json_name: \"wheelchairBoarding\",\n    default: :UNKNOWN,\n    enum: true\n  )\n\n  field(:level_id, 14, optional: true, type: :string, json_name: \"levelId\")\n\n  field(:platform_code, 15,\n    optional: true,\n    type: TransitRealtime.TranslatedString,\n    json_name: \"platformCode\"\n  )\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TripModifications.Modification do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:start_stop_selector, 1,\n    optional: true,\n    type: TransitRealtime.StopSelector,\n    json_name: \"startStopSelector\"\n  )\n\n  field(:end_stop_selector, 2,\n    optional: true,\n    type: TransitRealtime.StopSelector,\n    json_name: \"endStopSelector\"\n  )\n\n  field(:propagated_modification_delay, 3,\n    optional: true,\n    type: :int32,\n    json_name: \"propagatedModificationDelay\",\n    default: 0\n  )\n\n  field(:replacement_stops, 4,\n    repeated: true,\n    type: TransitRealtime.ReplacementStop,\n    json_name: \"replacementStops\"\n  )\n\n  field(:service_alert_id, 5, optional: true, type: :string, json_name: \"serviceAlertId\")\n  field(:last_modified_time, 6, optional: true, type: :uint64, json_name: \"lastModifiedTime\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TripModifications.SelectedTrips do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:trip_ids, 1, repeated: true, type: :string, json_name: \"tripIds\")\n  field(:shape_id, 2, optional: true, type: :string, json_name: \"shapeId\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.TripModifications do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:selected_trips, 1,\n    repeated: true,\n    type: TransitRealtime.TripModifications.SelectedTrips,\n    json_name: \"selectedTrips\"\n  )\n\n  field(:start_times, 2, repeated: true, type: :string, json_name: \"startTimes\")\n  field(:service_dates, 3, repeated: true, type: :string, json_name: \"serviceDates\")\n  field(:modifications, 4, repeated: true, type: TransitRealtime.TripModifications.Modification)\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.StopSelector do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:stop_sequence, 1, optional: true, type: :uint32, json_name: \"stopSequence\")\n  field(:stop_id, 2, optional: true, type: :string, json_name: \"stopId\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n\ndefmodule TransitRealtime.ReplacementStop do\n  @moduledoc false\n\n  use Protobuf, protoc_gen_elixir_version: \"0.14.1\", syntax: :proto2\n\n  field(:travel_time_to_stop, 1, optional: true, type: :int32, json_name: \"travelTimeToStop\")\n  field(:stop_id, 2, optional: true, type: :string, json_name: \"stopId\")\n\n  extensions([{1000, 2000}, {9000, 10000}])\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/protobuf/gtfs-realtime.proto",
    "content": "// Copyright 2015 The GTFS Specifications Authors.\n//\n// Licensed under the Apache License, Version 2.0 (the \"License\");\n// you may not use this file except in compliance with the License.\n// You may obtain a copy of the License at\n//\n//     http://www.apache.org/licenses/LICENSE-2.0\n//\n// Unless required by applicable law or agreed to in writing, software\n// distributed under the License is distributed on an \"AS IS\" BASIS,\n// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n// See the License for the specific language governing permissions and\n// limitations under the License.\n\n// Protocol definition file for GTFS Realtime.\n//\n// GTFS Realtime lets transit agencies provide consumers with realtime\n// information about disruptions to their service (stations closed, lines not\n// operating, important delays etc), location of their vehicles and expected\n// arrival times.\n//\n// This protocol is published at:\n// https://github.com/google/transit/tree/master/gtfs-realtime\n\nsyntax = \"proto2\";\noption java_package = \"com.google.transit.realtime\";\npackage transit_realtime;\n\n// The contents of a feed message.\n// A feed is a continuous stream of feed messages. Each message in the stream is\n// obtained as a response to an appropriate HTTP GET request.\n// A realtime feed is always defined with relation to an existing GTFS feed.\n// All the entity ids are resolved with respect to the GTFS feed.\n// Note that \"required\" and \"optional\" as stated in this file refer to Protocol\n// Buffer cardinality, not semantic cardinality.  See reference.md at\n// https://github.com/google/transit/tree/master/gtfs-realtime for field\n// semantic cardinality.\nmessage FeedMessage {\n  // Metadata about this feed and feed message.\n  required FeedHeader header = 1;\n\n  // Contents of the feed.\n  repeated FeedEntity entity = 2;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// Metadata about a feed, included in feed messages.\nmessage FeedHeader {\n  // Version of the feed specification.\n  // The current version is 2.0.  Valid versions are \"2.0\", \"1.0\".\n  required string gtfs_realtime_version = 1;\n\n  // Determines whether the current fetch is incremental.  Currently,\n  // DIFFERENTIAL mode is unsupported and behavior is unspecified for feeds\n  // that use this mode.  There are discussions on the GTFS Realtime mailing\n  // list around fully specifying the behavior of DIFFERENTIAL mode and the\n  // documentation will be updated when those discussions are finalized.\n  enum Incrementality {\n    FULL_DATASET = 0;\n    DIFFERENTIAL = 1;\n  }\n  optional Incrementality incrementality = 2 [default = FULL_DATASET];\n\n  // This timestamp identifies the moment when the content of this feed has been\n  // created (in server time). In POSIX time (i.e., number of seconds since\n  // January 1st 1970 00:00:00 UTC).\n  optional uint64 timestamp = 3;\n\n  // String that matches the feed_info.feed_version from the GTFS feed that the real\n  // time data is based on. Consumers can use this to identify which GTFS feed is\n  // currently active or when a new one is available to download.\n  optional string feed_version = 4;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// A definition (or update) of an entity in the transit feed.\nmessage FeedEntity {\n  // The ids are used only to provide incrementality support. The id should be\n  // unique within a FeedMessage. Consequent FeedMessages may contain\n  // FeedEntities with the same id. In case of a DIFFERENTIAL update the new\n  // FeedEntity with some id will replace the old FeedEntity with the same id\n  // (or delete it - see is_deleted below).\n  // The actual GTFS entities (e.g. stations, routes, trips) referenced by the\n  // feed must be specified by explicit selectors (see EntitySelector below for\n  // more info).\n  required string id = 1;\n\n  // Whether this entity is to be deleted. Relevant only for incremental\n  // fetches.\n  optional bool is_deleted = 2 [default = false];\n\n  // Data about the entity itself. Exactly one of the following fields must be\n  // present (unless the entity is being deleted).\n  optional TripUpdate trip_update = 3;\n  optional VehiclePosition vehicle = 4;\n  optional Alert alert = 5;\n\n  // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n  optional Shape shape = 6;\n  optional Stop stop = 7;\n  optional TripModifications trip_modifications = 8;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n//\n// Entities used in the feed.\n//\n\n// Realtime update of the progress of a vehicle along a trip.\n// Depending on the value of ScheduleRelationship, a TripUpdate can specify:\n// - A trip that proceeds along the schedule.\n// - A trip that proceeds along a route but has no fixed schedule.\n// - A trip that have been added or removed with regard to schedule.\n//\n// The updates can be for future, predicted arrival/departure events, or for\n// past events that already occurred.\n// Normally, updates should get more precise and more certain (see\n// uncertainty below) as the events gets closer to current time.\n// Even if that is not possible, the information for past events should be\n// precise and certain. In particular, if an update points to time in the past\n// but its update's uncertainty is not 0, the client should conclude that the\n// update is a (wrong) prediction and that the trip has not completed yet.\n//\n// Note that the update can describe a trip that is already completed.\n// To this end, it is enough to provide an update for the last stop of the trip.\n// If the time of that is in the past, the client will conclude from that that\n// the whole trip is in the past (it is possible, although inconsequential, to\n// also provide updates for preceding stops).\n// This option is most relevant for a trip that has completed ahead of schedule,\n// but according to the schedule, the trip is still proceeding at the current\n// time. Removing the updates for this trip could make the client assume\n// that the trip is still proceeding.\n// Note that the feed provider is allowed, but not required, to purge past\n// updates - this is one case where this would be practically useful.\nmessage TripUpdate {\n  // The Trip that this message applies to. There can be at most one\n  // TripUpdate entity for each actual trip instance.\n  // If there is none, that means there is no prediction information available.\n  // It does *not* mean that the trip is progressing according to schedule.\n  required TripDescriptor trip = 1;\n\n  // Additional information on the vehicle that is serving this trip.\n  optional VehicleDescriptor vehicle = 3;\n\n  // Timing information for a single predicted event (either arrival or\n  // departure).\n  // Timing consists of delay and/or estimated time, and uncertainty.\n  // - delay should be used when the prediction is given relative to some\n  //   existing schedule in GTFS.\n  // - time should be given whether there is a predicted schedule or not. If\n  //   both time and delay are specified, time will take precedence\n  //   (although normally, time, if given for a scheduled trip, should be\n  //   equal to scheduled time in GTFS + delay).\n  //\n  // Uncertainty applies equally to both time and delay.\n  // The uncertainty roughly specifies the expected error in true delay (but\n  // note, we don't yet define its precise statistical meaning). It's possible\n  // for the uncertainty to be 0, for example for trains that are driven under\n  // computer timing control.\n  message StopTimeEvent {\n    // Delay (in seconds) can be positive (meaning that the vehicle is late) or\n    // negative (meaning that the vehicle is ahead of schedule). Delay of 0\n    // means that the vehicle is exactly on time.\n    optional int32 delay = 1;\n\n    // Event as absolute time.\n    // In Unix time (i.e., number of seconds since January 1st 1970 00:00:00\n    // UTC).\n    optional int64 time = 2;\n\n    // If uncertainty is omitted, it is interpreted as unknown.\n    // If the prediction is unknown or too uncertain, the delay (or time) field\n    // should be empty. In such case, the uncertainty field is ignored.\n    // To specify a completely certain prediction, set its uncertainty to 0.\n    optional int32 uncertainty = 3;\n\n    // Scheduled time for a NEW, REPLACEMENT, or DUPLICATED trip.\n    // In Unix time (i.e., number of seconds since January 1st 1970 00:00:00\n    // UTC).\n    // Optional if TripUpdate.schedule_relationship is NEW, REPLACEMENT or DUPLICATED, forbidden otherwise.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional int64 scheduled_time = 4;\n\n    // The extensions namespace allows 3rd-party developers to extend the\n    // GTFS Realtime Specification in order to add and evaluate new features\n    // and modifications to the spec.\n    extensions 1000 to 1999;\n\n    // The following extension IDs are reserved for private use by any organization.\n    extensions 9000 to 9999;\n  }\n\n  // Realtime update for arrival and/or departure events for a given stop on a\n  // trip. Updates can be supplied for both past and future events.\n  // The producer is allowed, although not required, to drop past events.\n  message StopTimeUpdate {\n    // The update is linked to a specific stop either through stop_sequence or\n    // stop_id, so one of the fields below must necessarily be set.\n    // See the documentation in TripDescriptor for more information.\n\n    // Must be the same as in stop_times.txt in the corresponding GTFS feed.\n    optional uint32 stop_sequence = 1;\n    // Must be the same as in stops.txt in the corresponding GTFS feed.\n    optional string stop_id = 4;\n\n    optional StopTimeEvent arrival = 2;\n    optional StopTimeEvent departure = 3;\n\n    // Expected occupancy after departure from the given stop.\n    // Should be provided only for future stops.\n    // In order to provide departure_occupancy_status without either arrival or\n    // departure StopTimeEvents, ScheduleRelationship should be set to NO_DATA. \n    optional VehiclePosition.OccupancyStatus departure_occupancy_status = 7;\n\n    // The relation between the StopTimeEvents and the static schedule.\n    enum ScheduleRelationship {\n      // The vehicle is proceeding in accordance with its static schedule of\n      // stops, although not necessarily according to the times of the schedule.\n      // At least one of arrival and departure must be provided. If the schedule\n      // for this stop contains both arrival and departure times then so must\n      // this update. Frequency-based trips (GTFS frequencies.txt with exact_times = 0)\n      // should not have a SCHEDULED value and should use UNSCHEDULED instead.\n      SCHEDULED = 0;\n\n      // The stop is skipped, i.e., the vehicle will not stop at this stop.\n      // Arrival and departure are optional.\n      SKIPPED = 1;\n\n      // No StopTimeEvents are given for this stop.\n      // The main intention for this value is to give time predictions only for\n      // part of a trip, i.e., if the last update for a trip has a NO_DATA\n      // specifier, then StopTimeEvents for the rest of the stops in the trip\n      // are considered to be unspecified as well.\n      // Neither arrival nor departure should be supplied.\n      NO_DATA = 2;\n\n      // The vehicle is operating a trip defined in GTFS frequencies.txt with exact_times = 0.\n      // This value should not be used for trips that are not defined in GTFS frequencies.txt,\n      // or trips in GTFS frequencies.txt with exact_times = 1. Trips containing StopTimeUpdates\n      // with ScheduleRelationship=UNSCHEDULED must also set TripDescriptor.ScheduleRelationship=UNSCHEDULED.\n      // NOTE: This field is still experimental, and subject to change. It may be\n      // formally adopted in the future.\n      UNSCHEDULED = 3;\n    }\n    optional ScheduleRelationship schedule_relationship = 5\n    [default = SCHEDULED];\n\n    // Provides the updated values for the stop time.\n    // NOTE: This message is still experimental, and subject to change. It may be formally adopted in the future.\n    message StopTimeProperties {\n      // Supports real-time stop assignments. Refers to a stop_id defined in the GTFS stops.txt.\n      // The new assigned_stop_id should not result in a significantly different trip experience for the end user than\n      // the stop_id defined in GTFS stop_times.txt. In other words, the end user should not view this new stop_id as an\n      // \"unusual change\" if the new stop was presented within an app without any additional context.\n      // For example, this field is intended to be used for platform assignments by using a stop_id that belongs to the\n      // same station as the stop originally defined in GTFS stop_times.txt.\n      // To assign a stop without providing any real-time arrival or departure predictions, populate this field and set\n      // StopTimeUpdate.schedule_relationship = NO_DATA.\n      // If this field is populated, it is preferred to omit `StopTimeUpdate.stop_id` and use only `StopTimeUpdate.stop_sequence`. If\n      // `StopTimeProperties.assigned_stop_id` and `StopTimeUpdate.stop_id` are populated, `StopTimeUpdate.stop_id` must match `assigned_stop_id`.\n      // Platform assignments should be reflected in other GTFS-realtime fields as well\n      // (e.g., `VehiclePosition.stop_id`).\n      // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n      optional string assigned_stop_id = 1;\n\n      // The updated headsign of the vehicle at the stop.\n      // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n      optional string stop_headsign = 2;\n      \n      enum DropOffPickupType {\n        // Regularly scheduled pickup/dropoff.\n        REGULAR = 0;\n\n        // No pickup/dropoff available\n        NONE = 1;\n\n        // Must phone agency to arrange pickup/dropoff.\n        PHONE_AGENCY = 2;\n\n        // Must coordinate with driver to arrange pickup/dropoff.\n        COORDINATE_WITH_DRIVER = 3;\n      }\n      \n      // The updated pickup of the vehicle at the stop.\n      // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n      optional DropOffPickupType pickup_type = 3;\n\n      // The updated drop off of the vehicle at the stop.\n      // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n      optional DropOffPickupType drop_off_type = 4;\n\n      // The extensions namespace allows 3rd-party developers to extend the\n      // GTFS Realtime Specification in order to add and evaluate new features\n      // and modifications to the spec.\n      extensions 1000 to 1999;\n\n      // The following extension IDs are reserved for private use by any organization.\n      extensions 9000 to 9999;\n    }\n\n    // Realtime updates for certain properties defined within GTFS stop_times.txt\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional StopTimeProperties stop_time_properties = 6;\n\n    // The extensions namespace allows 3rd-party developers to extend the\n    // GTFS Realtime Specification in order to add and evaluate new features\n    // and modifications to the spec.\n    extensions 1000 to 1999;\n\n    // The following extension IDs are reserved for private use by any organization.\n    extensions 9000 to 9999;\n  }\n\n  // Updates to StopTimes for the trip (both future, i.e., predictions, and in\n  // some cases, past ones, i.e., those that already happened).\n  // The updates must be sorted by stop_sequence, and apply for all the\n  // following stops of the trip up to the next specified one.\n  //\n  // Example 1:\n  // For a trip with 20 stops, a StopTimeUpdate with arrival delay and departure\n  // delay of 0 for stop_sequence of the current stop means that the trip is\n  // exactly on time.\n  //\n  // Example 2:\n  // For the same trip instance, 3 StopTimeUpdates are provided:\n  // - delay of 5 min for stop_sequence 3\n  // - delay of 1 min for stop_sequence 8\n  // - delay of unspecified duration for stop_sequence 10\n  // This will be interpreted as:\n  // - stop_sequences 3,4,5,6,7 have delay of 5 min.\n  // - stop_sequences 8,9 have delay of 1 min.\n  // - stop_sequences 10,... have unknown delay.\n  repeated StopTimeUpdate stop_time_update = 2;\n\n  // The most recent moment at which the vehicle's real-time progress was measured\n  // to estimate StopTimes in the future. When StopTimes in the past are provided,\n  // arrival/departure times may be earlier than this value. In POSIX\n  // time (i.e., the number of seconds since January 1st 1970 00:00:00 UTC).\n  optional uint64 timestamp = 4;\n\n  // The current schedule deviation for the trip.  Delay should only be\n  // specified when the prediction is given relative to some existing schedule\n  // in GTFS.\n  //\n  // Delay (in seconds) can be positive (meaning that the vehicle is late) or\n  // negative (meaning that the vehicle is ahead of schedule). Delay of 0\n  // means that the vehicle is exactly on time.\n  //\n  // Delay information in StopTimeUpdates take precedent of trip-level delay\n  // information, such that trip-level delay is only propagated until the next\n  // stop along the trip with a StopTimeUpdate delay value specified.\n  //\n  // Feed providers are strongly encouraged to provide a TripUpdate.timestamp\n  // value indicating when the delay value was last updated, in order to\n  // evaluate the freshness of the data.\n  //\n  // NOTE: This field is still experimental, and subject to change. It may be\n  // formally adopted in the future.\n  optional int32 delay = 5;\n\n  // Defines updated properties of the trip, such as a new shape_id when there is a detour. Or defines the\n  // trip_id, start_date, and start_time of a DUPLICATED trip. \n  // NOTE: This message is still experimental, and subject to change. It may be formally adopted in the future.\n  message TripProperties {\n    // Defines the identifier of a new trip that is a duplicate of an existing trip defined in (CSV) GTFS trips.txt\n    // but will start at a different service date and/or time (defined using the TripProperties.start_date and\n    // TripProperties.start_time fields). See definition of trips.trip_id in (CSV) GTFS. Its value must be different\n    // than the ones used in the (CSV) GTFS. Required if schedule_relationship=DUPLICATED, otherwise this field must not\n    // be populated and will be ignored by consumers.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional string trip_id = 1;\n    // Service date on which the DUPLICATED trip will be run, in YYYYMMDD format. Required if\n    // schedule_relationship=DUPLICATED, otherwise this field must not be populated and will be ignored by consumers.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional string start_date = 2;\n    // Defines the departure start time of the trip when it’s duplicated. See definition of stop_times.departure_time\n    // in (CSV) GTFS. Scheduled arrival and departure times for the duplicated trip are calculated based on the offset\n    // between the original trip departure_time and this field. For example, if a GTFS trip has stop A with a\n    // departure_time of 10:00:00 and stop B with departure_time of 10:01:00, and this field is populated with the value\n    // of 10:30:00, stop B on the duplicated trip will have a scheduled departure_time of 10:31:00. Real-time prediction\n    // delay values are applied to this calculated schedule time to determine the predicted time. For example, if a\n    // departure delay of 30 is provided for stop B, then the predicted departure time is 10:31:30. Real-time\n    // prediction time values do not have any offset applied to them and indicate the predicted time as provided.\n    // For example, if a departure time representing 10:31:30 is provided for stop B, then the predicted departure time\n    // is 10:31:30. This field is required if schedule_relationship is DUPLICATED, otherwise this field must not be\n    // populated and will be ignored by consumers.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional string start_time = 3;\n    // Specifies the identifier of the shape of the vehicle travel path when the trip shape differs from the shape specified in (CSV) GTFS\n    // or to specify it in real-time when it's not provided by (CSV) GTFS, such as a vehicle that takes differing paths based on rider demand. See definition of trips.shape_id in (CSV) GTFS.\n    // If a shape is neither defined in (CSV) GTFS nor in real-time, the shape is considered unknown. This field can refer to a shape defined in the (CSV) GTFS in shapes.txt or a `Shape` in the same (protobuf) real-time feed. \n    // The order of stops (stop sequences) for this trip must remain the same as (CSV) GTFS. \n    // If it refers to a `Shape` entity in the same real-time feed, the value of this field should be the one of the `shape_id` inside the entity, and _not_ the `id` of `FeedEntity`.\n    // Stops that are a part of the original trip but will no longer be made, such as when a detour occurs, should be marked as schedule_relationship=SKIPPED or more details can be provided via a `TripModifications` message.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future. \n    optional string shape_id = 4;\n\n    // Specifies the headsign for this trip when it differs from the original.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional string trip_headsign = 5;\n\n    // Specifies the name for this trip when it differs from the original.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional string trip_short_name = 6;\n\n    // The extensions namespace allows 3rd-party developers to extend the\n    // GTFS Realtime Specification in order to add and evaluate new features\n    // and modifications to the spec.\n    extensions 1000 to 1999;\n\n    // The following extension IDs are reserved for private use by any organization.\n    extensions 9000 to 9999;\n  }\n  optional TripProperties trip_properties = 6;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// Realtime positioning information for a given vehicle.\nmessage VehiclePosition {\n  // The Trip that this vehicle is serving.\n  // Can be empty or partial if the vehicle can not be identified with a given\n  // trip instance.\n  optional TripDescriptor trip = 1;\n\n  // Additional information on the vehicle that is serving this trip.\n  optional VehicleDescriptor vehicle = 8;\n\n  // Current position of this vehicle.\n  optional Position position = 2;\n\n  // The stop sequence index of the current stop. The meaning of\n  // current_stop_sequence (i.e., the stop that it refers to) is determined by\n  // current_status.\n  // If current_status is missing IN_TRANSIT_TO is assumed.\n  optional uint32 current_stop_sequence = 3;\n  // Identifies the current stop. The value must be the same as in stops.txt in\n  // the corresponding GTFS feed.\n  optional string stop_id = 7;\n\n  enum VehicleStopStatus {\n    // The vehicle is just about to arrive at the stop (on a stop\n    // display, the vehicle symbol typically flashes).\n    INCOMING_AT = 0;\n\n    // The vehicle is standing at the stop.\n    STOPPED_AT = 1;\n\n    // The vehicle has departed and is in transit to the next stop.\n    IN_TRANSIT_TO = 2;\n  }\n  // The exact status of the vehicle with respect to the current stop.\n  // Ignored if current_stop_sequence is missing.\n  optional VehicleStopStatus current_status = 4 [default = IN_TRANSIT_TO];\n\n  // Moment at which the vehicle's position was measured. In POSIX time\n  // (i.e., number of seconds since January 1st 1970 00:00:00 UTC).\n  optional uint64 timestamp = 5;\n\n  // Congestion level that is affecting this vehicle.\n  enum CongestionLevel {\n    UNKNOWN_CONGESTION_LEVEL = 0;\n    RUNNING_SMOOTHLY = 1;\n    STOP_AND_GO = 2;\n    CONGESTION = 3;\n    SEVERE_CONGESTION = 4;  // People leaving their cars.\n  }\n  optional CongestionLevel congestion_level = 6;\n\n  // The state of passenger occupancy for the vehicle or carriage.\n  // Individual producers may not publish all OccupancyStatus values. Therefore, consumers\n  // must not assume that the OccupancyStatus values follow a linear scale.\n  // Consumers should represent OccupancyStatus values as the state indicated \n  // and intended by the producer. Likewise, producers must use OccupancyStatus values that\n  // correspond to actual vehicle occupancy states.\n  // For describing passenger occupancy levels on a linear scale, see `occupancy_percentage`.\n  // This field is still experimental, and subject to change. It may be formally adopted in the future.\n  enum OccupancyStatus {\n    // The vehicle or carriage is considered empty by most measures, and has few or no\n    // passengers onboard, but is still accepting passengers.\n    EMPTY = 0;\n\n    // The vehicle or carriage has a large number of seats available.\n    // The amount of free seats out of the total seats available to be\n    // considered large enough to fall into this category is determined at the\n    // discretion of the producer.\n    MANY_SEATS_AVAILABLE = 1;\n\n    // The vehicle or carriage has a relatively small number of seats available.\n    // The amount of free seats out of the total seats available to be\n    // considered small enough to fall into this category is determined at the\n    // discretion of the feed producer.\n    FEW_SEATS_AVAILABLE = 2;\n\n    // The vehicle or carriage can currently accommodate only standing passengers.\n    STANDING_ROOM_ONLY = 3;\n\n    // The vehicle or carriage can currently accommodate only standing passengers\n    // and has limited space for them.\n    CRUSHED_STANDING_ROOM_ONLY = 4;\n\n    // The vehicle or carriage is considered full by most measures, but may still be\n    // allowing passengers to board.\n    FULL = 5;\n\n    // The vehicle or carriage is not accepting passengers, but usually accepts passengers for boarding.\n    NOT_ACCEPTING_PASSENGERS = 6;\n\n    // The vehicle or carriage doesn't have any occupancy data available at that time.\n    NO_DATA_AVAILABLE = 7;\n\n    // The vehicle or carriage is not boardable and never accepts passengers.\n    // Useful for special vehicles or carriages (engine, maintenance carriage, etc…).\n    NOT_BOARDABLE = 8;\n\n  }\n  // If multi_carriage_status is populated with per-carriage OccupancyStatus,\n  // then this field should describe the entire vehicle with all carriages accepting passengers considered.\n  optional OccupancyStatus occupancy_status = 9;\n\n  // A percentage value indicating the degree of passenger occupancy in the vehicle.\n  // The values are represented as an integer without decimals. 0 means 0% and 100 means 100%.\n  // The value 100 should represent the total maximum occupancy the vehicle was designed for,\n  // including both seated and standing capacity, and current operating regulations allow.\n  // The value may exceed 100 if there are more passengers than the maximum designed capacity.\n  // The precision of occupancy_percentage should be low enough that individual passengers cannot be tracked boarding or alighting the vehicle.\n  // If multi_carriage_status is populated with per-carriage occupancy_percentage, \n  // then this field should describe the entire vehicle with all carriages accepting passengers considered.\n  // This field is still experimental, and subject to change. It may be formally adopted in the future.\n  optional uint32 occupancy_percentage = 10;\n\n  // Carriage specific details, used for vehicles composed of several carriages\n  // This message/field is still experimental, and subject to change. It may be formally adopted in the future.\n  message CarriageDetails {\n\n    // Identification of the carriage. Should be unique per vehicle.\n    optional string id = 1;\n\n    // User visible label that may be shown to the passenger to help identify\n    // the carriage. Example: \"7712\", \"Car ABC-32\", etc...\n    // This message/field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional string label = 2;\n\n    // Occupancy status for this given carriage, in this vehicle\n    // This message/field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional OccupancyStatus occupancy_status = 3 [default = NO_DATA_AVAILABLE];\n\n    // Occupancy percentage for this given carriage, in this vehicle.\n    // Follows the same rules as \"VehiclePosition.occupancy_percentage\"\n    // -1 in case data is not available for this given carriage (as protobuf defaults to 0 otherwise)\n    // This message/field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional int32 occupancy_percentage = 4 [default = -1];\n\n    // Identifies the order of this carriage with respect to the other\n    // carriages in the vehicle's list of CarriageDetails.\n    // The first carriage in the direction of travel must have a value of 1.\n    // The second value corresponds to the second carriage in the direction\n    // of travel and must have a value of 2, and so forth.\n    // For example, the first carriage in the direction of travel has a value of 1.\n    // If the second carriage in the direction of travel has a value of 3,\n    // consumers will discard data for all carriages (i.e., the multi_carriage_details field).\n    // Carriages without data must be represented with a valid carriage_sequence number and the fields \n    // without data should be omitted (alternately, those fields could also be included and set to the \"no data\" values).\n    // This message/field is still experimental, and subject to change. It may be formally adopted in the future.\n    optional uint32 carriage_sequence = 5;\n\n    // The extensions namespace allows 3rd-party developers to extend the\n    // GTFS Realtime Specification in order to add and evaluate new features and\n    // modifications to the spec.\n    extensions 1000 to 1999;\n\n    // The following extension IDs are reserved for private use by any organization.\n    extensions 9000 to 9999;\n  }\n\n  // Details of the multiple carriages of this given vehicle.\n  // The first occurrence represents the first carriage of the vehicle, \n  // given the current direction of travel. \n  // The number of occurrences of the multi_carriage_details \n  // field represents the number of carriages of the vehicle.\n  // It also includes non boardable carriages, \n  // like engines, maintenance carriages, etc… as they provide valuable \n  // information to passengers about where to stand on a platform.\n  // This message/field is still experimental, and subject to change. It may be formally adopted in the future.\n  repeated CarriageDetails multi_carriage_details = 11;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// An alert, indicating some sort of incident in the public transit network.\nmessage Alert {\n  // Time when the alert should be shown to the user. If missing, the\n  // alert will be shown as long as it appears in the feed.\n  // If multiple ranges are given, the alert will be shown during all of them.\n  repeated TimeRange active_period = 1;\n\n  // Entities whose users we should notify of this alert.\n  repeated EntitySelector informed_entity = 5;\n\n  // Cause of this alert. If cause_detail is included, then Cause must also be included.\n  enum Cause {\n    UNKNOWN_CAUSE = 1;\n    OTHER_CAUSE = 2;        // Not machine-representable.\n    TECHNICAL_PROBLEM = 3;\n    STRIKE = 4;             // Public transit agency employees stopped working.\n    DEMONSTRATION = 5;      // People are blocking the streets.\n    ACCIDENT = 6;\n    HOLIDAY = 7;\n    WEATHER = 8;\n    MAINTENANCE = 9;\n    CONSTRUCTION = 10;\n    POLICE_ACTIVITY = 11;\n    MEDICAL_EMERGENCY = 12;\n  }\n  optional Cause cause = 6 [default = UNKNOWN_CAUSE];\n\n  // What is the effect of this problem on the affected entity. If effect_detail is included, then Effect must also be included.\n  enum Effect {\n    NO_SERVICE = 1;\n    REDUCED_SERVICE = 2;\n\n    // We don't care about INsignificant delays: they are hard to detect, have\n    // little impact on the user, and would clutter the results as they are too\n    // frequent.\n    SIGNIFICANT_DELAYS = 3;\n\n    DETOUR = 4;\n    ADDITIONAL_SERVICE = 5;\n    MODIFIED_SERVICE = 6;\n    OTHER_EFFECT = 7;\n    UNKNOWN_EFFECT = 8;\n    STOP_MOVED = 9;\n    NO_EFFECT = 10;\n    ACCESSIBILITY_ISSUE = 11;\n  }\n  optional Effect effect = 7 [default = UNKNOWN_EFFECT];\n\n  // The URL which provides additional information about the alert.\n  optional TranslatedString url = 8;\n\n  // Alert header. Contains a short summary of the alert text as plain-text.\n  optional TranslatedString header_text = 10;\n\n  // Full description for the alert as plain-text. The information in the\n  // description should add to the information of the header.\n  optional TranslatedString description_text = 11;\n\n  // Text for alert header to be used in text-to-speech implementations. This field is the text-to-speech version of header_text.\n  optional TranslatedString tts_header_text = 12;\n\n  // Text for full description for the alert to be used in text-to-speech implementations. This field is the text-to-speech version of description_text.\n  optional TranslatedString tts_description_text = 13;\n\n  // Severity of this alert.\n  enum SeverityLevel {\n    UNKNOWN_SEVERITY = 1;\n    INFO = 2;\n    WARNING = 3;\n    SEVERE = 4;\n  }\n\n  optional SeverityLevel severity_level = 14 [default = UNKNOWN_SEVERITY];\n\n  // TranslatedImage to be displayed along the alert text. Used to explain visually the alert effect of a detour, station closure, etc. The image must enhance the understanding of the alert. Any essential information communicated within the image must also be contained in the alert text.\n  // The following types of images are discouraged : image containing mainly text, marketing or branded images that add no additional information. \n  // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n  optional TranslatedImage image = 15;\n\n  // Text describing the appearance of the linked image in the `image` field (e.g., in case the image can't be displayed\n  // or the user can't see the image for accessibility reasons). See the HTML spec for alt image text - https://html.spec.whatwg.org/#alt.\n  // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n  optional TranslatedString image_alternative_text = 16;\n\n\n  // Description of the cause of the alert that allows for agency-specific language; more specific than the Cause. If cause_detail is included, then Cause must also be included.\n  // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n  optional TranslatedString cause_detail = 17;\n\n  // Description of the effect of the alert that allows for agency-specific language; more specific than the Effect. If effect_detail is included, then Effect must also be included.\n  // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n  optional TranslatedString effect_detail = 18;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features\n  // and modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n//\n// Low level data structures used above.\n//\n\n// A time interval. The interval is considered active at time 't' if 't' is\n// greater than or equal to the start time and less than the end time.\nmessage TimeRange {\n  // Start time, in POSIX time (i.e., number of seconds since January 1st 1970\n  // 00:00:00 UTC).\n  // If missing, the interval starts at minus infinity.\n  optional uint64 start = 1;\n\n  // End time, in POSIX time (i.e., number of seconds since January 1st 1970\n  // 00:00:00 UTC).\n  // If missing, the interval ends at plus infinity.\n  optional uint64 end = 2;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// A position.\nmessage Position {\n  // Degrees North, in the WGS-84 coordinate system.\n  required float latitude = 1;\n\n  // Degrees East, in the WGS-84 coordinate system.\n  required float longitude = 2;\n\n  // Bearing, in degrees, clockwise from North, i.e., 0 is North and 90 is East.\n  // This can be the compass bearing, or the direction towards the next stop\n  // or intermediate location.\n  // This should not be direction deduced from the sequence of previous\n  // positions, which can be computed from previous data.\n  optional float bearing = 3;\n\n  // Odometer value, in meters.\n  optional double odometer = 4;\n  // Momentary speed measured by the vehicle, in meters per second.\n  optional float speed = 5;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// A descriptor that identifies an instance of a GTFS trip, or all instances of\n// a trip along a route.\n// - To specify a single trip instance, the trip_id (and if necessary,\n//   start_time) is set. If route_id is also set, then it should be same as one\n//   that the given trip corresponds to.\n// - To specify all the trips along a given route, only the route_id should be\n//   set. Note that if the trip_id is not known, then stop sequence ids in\n//   TripUpdate are not sufficient, and stop_ids must be provided as well. In\n//   addition, absolute arrival/departure times must be provided.\nmessage TripDescriptor {\n  // The trip_id from the GTFS feed that this selector refers to.\n  // For non frequency-based trips, this field is enough to uniquely identify\n  // the trip. For frequency-based trip, start_time and start_date might also be\n  // necessary. When schedule_relationship is DUPLICATED within a TripUpdate, the trip_id identifies the trip from\n  // static GTFS to be duplicated. When schedule_relationship is DUPLICATED within a VehiclePosition, the trip_id\n  // identifies the new duplicate trip and must contain the value for the corresponding TripUpdate.TripProperties.trip_id.\n  optional string trip_id = 1;\n\n  // The route_id from the GTFS that this selector refers to.\n  optional string route_id = 5;\n\n  // The direction_id from the GTFS feed trips.txt file, indicating the\n  // direction of travel for trips this selector refers to.\n  optional uint32 direction_id = 6;\n\n  // The initially scheduled start time of this trip instance.\n  // When the trip_id corresponds to a non-frequency-based trip, this field\n  // should either be omitted or be equal to the value in the GTFS feed. When\n  // the trip_id corresponds to a frequency-based trip, the start_time must be\n  // specified for trip updates and vehicle positions. If the trip corresponds\n  // to exact_times=1 GTFS record, then start_time must be some multiple\n  // (including zero) of headway_secs later than frequencies.txt start_time for\n  // the corresponding time period. If the trip corresponds to exact_times=0,\n  // then its start_time may be arbitrary, and is initially expected to be the\n  // first departure of the trip. Once established, the start_time of this\n  // frequency-based trip should be considered immutable, even if the first\n  // departure time changes -- that time change may instead be reflected in a\n  // StopTimeUpdate.\n  // Format and semantics of the field is same as that of\n  // GTFS/frequencies.txt/start_time, e.g., 11:15:35 or 25:15:35.\n  optional string start_time = 2;\n  // The scheduled start date of this trip instance.\n  // Must be provided to disambiguate trips that are so late as to collide with\n  // a scheduled trip on a next day. For example, for a train that departs 8:00\n  // and 20:00 every day, and is 12 hours late, there would be two distinct\n  // trips on the same time.\n  // This field can be provided but is not mandatory for schedules in which such\n  // collisions are impossible - for example, a service running on hourly\n  // schedule where a vehicle that is one hour late is not considered to be\n  // related to schedule anymore.\n  // In YYYYMMDD format.\n  optional string start_date = 3;\n\n  // The relation between this trip and the static schedule. If a trip is done\n  // in accordance with temporary schedule, not reflected in GTFS, then it\n  // shouldn't be marked as SCHEDULED, but likely as ADDED.\n  enum ScheduleRelationship {\n    // Trip that is running in accordance with its GTFS schedule, or is close\n    // enough to the scheduled trip to be associated with it.\n    SCHEDULED = 0;\n\n    // This value has been deprecated as the behavior was unspecified. \n    // Use DUPLICATED for an extra trip that is the same as a scheduled trip except the start date or time, \n    // or NEW for an extra trip that is unrelated to an existing trip.\n    ADDED = 1 [deprecated = true];\n\n    // A trip that is running with no schedule associated to it (GTFS frequencies.txt exact_times=0).\n    // Trips with ScheduleRelationship=UNSCHEDULED must also set all StopTimeUpdates.ScheduleRelationship=UNSCHEDULED.\n    UNSCHEDULED = 2;\n\n    // A trip that existed in the schedule but was removed.\n    CANCELED = 3;\n\n    // A trip that replaces an existing trip in the schedule.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    REPLACEMENT = 5;\n\n    // An extra trip that was added in addition to a running schedule, for example, to replace a broken vehicle or to\n    // respond to sudden passenger load. Used with TripUpdate.TripProperties.trip_id, TripUpdate.TripProperties.start_date,\n    // and TripUpdate.TripProperties.start_time to copy an existing trip from static GTFS but start at a different service\n    // date and/or time. Duplicating a trip is allowed if the service related to the original trip in (CSV) GTFS\n    // (in calendar.txt or calendar_dates.txt) is operating within the next 30 days. The trip to be duplicated is\n    // identified via TripUpdate.TripDescriptor.trip_id. This enumeration does not modify the existing trip referenced by\n    // TripUpdate.TripDescriptor.trip_id - if a producer wants to cancel the original trip, it must publish a separate\n    // TripUpdate with the value of CANCELED or DELETED. If a producer wants to replace the original trip, a value of \n    // `REPLACEMENT` should be used instead.\n    //\n    // Trips defined in GTFS frequencies.txt with exact_times that is\n    // empty or equal to 0 cannot be duplicated. The VehiclePosition.TripDescriptor.trip_id for the new trip must contain\n    // the matching value from TripUpdate.TripProperties.trip_id and VehiclePosition.TripDescriptor.ScheduleRelationship\n    // must also be set to DUPLICATED.\n    // Existing producers and consumers that were using the ADDED enumeration to represent duplicated trips must follow\n    // the migration guide (https://github.com/google/transit/tree/master/gtfs-realtime/spec/en/examples/migration-duplicated.md)\n    // to transition to the DUPLICATED enumeration.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    DUPLICATED = 6;\n\n\n    // A trip that existed in the schedule but was removed and must not be shown to users.\n    // DELETED should be used instead of CANCELED to indicate that a transit provider would like to entirely remove\n    // information about the corresponding trip from consuming applications, so the trip is not shown as cancelled to\n    // riders, e.g. a trip that is entirely being replaced by another trip.\n    // This designation becomes particularly important if several trips are cancelled and replaced with substitute service.\n    // If consumers were to show explicit information about the cancellations it would distract from the more important\n    // real-time predictions.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    DELETED = 7;\n\n    // An extra trip unrelated to any existing trips, for example, to respond to sudden passenger load.\n    // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n    NEW = 8;\n  }\n  optional ScheduleRelationship schedule_relationship = 4;\n\n  message ModifiedTripSelector {\n    // The 'id' from the FeedEntity in which the contained TripModifications object affects this trip.\n    optional string modifications_id = 1;\n\n    // The trip_id from the GTFS feed that is modified by the modifications_id\n    optional string affected_trip_id = 2;\n\n    // The initially scheduled start time of this trip instance, applied to the frequency based modified trip. Same definition as start_time in TripDescriptor.\n    optional string start_time = 3;\n\n    // The start date of this trip instance in YYYYMMDD format, applied to the modified trip. Same definition as start_date in TripDescriptor.\n    optional string start_date = 4;\n\n    // The extensions namespace allows 3rd-party developers to extend the\n    // GTFS Realtime Specification in order to add and evaluate new features and\n    // modifications to the spec.\n    extensions 1000 to 1999;\n\n    // The following extension IDs are reserved for private use by any organization.\n    extensions 9000 to 9999;\n  }\n\n  // Linkage to any modifications done to this trip (shape changes, removal or addition of stops).\n  // If this field is provided, the `trip_id`, `route_id`, `direction_id`, `start_time`, `start_date` fields of the `TripDescriptor` MUST be left empty, to avoid confusion by consumers that aren't looking for the `ModifiedTripSelector` value.\n  optional ModifiedTripSelector modified_trip = 7;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// Identification information for the vehicle performing the trip.\nmessage VehicleDescriptor {\n  // Internal system identification of the vehicle. Should be unique per\n  // vehicle, and can be used for tracking the vehicle as it proceeds through\n  // the system.\n  optional string id = 1;\n\n  // User visible label, i.e., something that must be shown to the passenger to\n  // help identify the correct vehicle.\n  optional string label = 2;\n\n  // The license plate of the vehicle.\n  optional string license_plate = 3;\n\n  enum WheelchairAccessible {\n    // The trip doesn't have information about wheelchair accessibility.\n    // This is the **default** behavior. If the static GTFS contains a\n    // _wheelchair_accessible_ value, it won't be overwritten.\n    NO_VALUE = 0;\n\n    // The trip has no accessibility value present.\n    // This value will overwrite the value from the GTFS.\n    UNKNOWN = 1;\n\n    // The trip is wheelchair accessible.\n    // This value will overwrite the value from the GTFS.\n    WHEELCHAIR_ACCESSIBLE = 2;\n\n    // The trip is **not** wheelchair accessible.\n    // This value will overwrite the value from the GTFS.\n    WHEELCHAIR_INACCESSIBLE = 3;\n  }\n  optional WheelchairAccessible wheelchair_accessible = 4 [default = NO_VALUE];\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// A selector for an entity in a GTFS feed.\nmessage EntitySelector {\n  // The values of the fields should correspond to the appropriate fields in the\n  // GTFS feed.\n  // At least one specifier must be given. If several are given, then the\n  // matching has to apply to all the given specifiers.\n  optional string agency_id = 1;\n  optional string route_id = 2;\n  // corresponds to route_type in GTFS.\n  optional int32 route_type = 3;\n  optional TripDescriptor trip = 4;\n  optional string stop_id = 5;\n  // Corresponds to trip direction_id in GTFS trips.txt. If provided the\n  // route_id must also be provided.\n  optional uint32 direction_id = 6;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// An internationalized message containing per-language versions of a snippet of\n// text or a URL.\n// One of the strings from a message will be picked up. The resolution proceeds\n// as follows:\n// 1. If the UI language matches the language code of a translation,\n//    the first matching translation is picked.\n// 2. If a default UI language (e.g., English) matches the language code of a\n//    translation, the first matching translation is picked.\n// 3. If some translation has an unspecified language code, that translation is\n//    picked.\nmessage TranslatedString {\n  message Translation {\n    // A UTF-8 string containing the message.\n    required string text = 1;\n    // BCP-47 language code. Can be omitted if the language is unknown or if\n    // no i18n is done at all for the feed. At most one translation is\n    // allowed to have an unspecified language tag.\n    optional string language = 2;\n\n    // The extensions namespace allows 3rd-party developers to extend the\n    // GTFS Realtime Specification in order to add and evaluate new features and\n    // modifications to the spec.\n    extensions 1000 to 1999;\n\n    // The following extension IDs are reserved for private use by any organization.\n    extensions 9000 to 9999;\n  }\n  // At least one translation must be provided.\n  repeated Translation translation = 1;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// An internationalized image containing per-language versions of a URL linking to an image\n// along with meta information\n// Only one of the images from a message will be retained by consumers. The resolution proceeds\n// as follows:\n// 1. If the UI language matches the language code of a translation,\n//    the first matching translation is picked.\n// 2. If a default UI language (e.g., English) matches the language code of a\n//    translation, the first matching translation is picked.\n// 3. If some translation has an unspecified language code, that translation is\n//    picked.\n// NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\nmessage TranslatedImage {\n  message LocalizedImage {\n    // String containing an URL linking to an image\n    // The image linked must be less than 2MB. \n    // If an image changes in a significant enough way that an update is required on the consumer side, the producer must update the URL to a new one.\n    // The URL should be a fully qualified URL that includes http:// or https://, and any special characters in the URL must be correctly escaped. See the following http://www.w3.org/Addressing/URL/4_URI_Recommentations.html for a description of how to create fully qualified URL values.\n    required string url = 1;\n\n    // IANA media type as to specify the type of image to be displayed. \n    // The type must start with \"image/\"\n    required string media_type = 2;\n\n    // BCP-47 language code. Can be omitted if the language is unknown or if\n    // no i18n is done at all for the feed. At most one translation is\n    // allowed to have an unspecified language tag.\n    optional string language = 3;\n\n\n    // The extensions namespace allows 3rd-party developers to extend the\n    // GTFS Realtime Specification in order to add and evaluate new features and\n    // modifications to the spec.\n    extensions 1000 to 1999;\n\n    // The following extension IDs are reserved for private use by any organization.\n    extensions 9000 to 9999;\n  }\n  // At least one localized image must be provided.\n  repeated LocalizedImage localized_image = 1;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// Describes the physical path that a vehicle takes when it's not part of the (CSV) GTFS,\n// such as for a detour. Shapes belong to Trips, and consist of a sequence of shape points.\n// Tracing the points in order provides the path of the vehicle.  Shapes do not need to intercept\n// the location of Stops exactly, but all Stops on a trip should lie within a small distance of\n// the shape for that trip, i.e. close to straight line segments connecting the shape points\n// NOTE: This message is still experimental, and subject to change. It may be formally adopted in the future.\nmessage Shape {\n  // Identifier of the shape. Must be different than any shape_id defined in the (CSV) GTFS.\n  // This field is required as per reference.md, but needs to be specified here optional because \"Required is Forever\"\n  // See https://developers.google.com/protocol-buffers/docs/proto#specifying_field_rules\n  // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n  optional string shape_id = 1;\n\n  // Encoded polyline representation of the shape. This polyline must contain at least two points and represent the full shape of the trip where it's used. \n  // For more information about encoded polylines, see https://developers.google.com/maps/documentation/utilities/polylinealgorithm\n  // This field is required as per reference.md, but needs to be specified here optional because \"Required is Forever\"\n  // See https://developers.google.com/protocol-buffers/docs/proto#specifying_field_rules\n  // NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n  optional string encoded_polyline = 2;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// Describes a stop which is served by trips. All fields are as described in the GTFS-Static specification.\n// NOTE: This message is still experimental, and subject to change. It may be formally adopted in the future.\nmessage Stop {\n  enum WheelchairBoarding {\n    UNKNOWN = 0;\n    AVAILABLE = 1;\n    NOT_AVAILABLE = 2;\n  }\n\n  optional string stop_id = 1;\n  optional TranslatedString stop_code = 2;\n  optional TranslatedString stop_name = 3;\n  optional TranslatedString tts_stop_name = 4;\n  optional TranslatedString stop_desc = 5;\n  optional float stop_lat = 6;\n  optional float stop_lon = 7;\n  optional string zone_id = 8;\n  optional TranslatedString stop_url = 9;\n  optional string parent_station = 11;\n  optional string stop_timezone = 12;\n  optional WheelchairBoarding wheelchair_boarding = 13 [default = UNKNOWN];\n  optional string level_id = 14;\n  optional TranslatedString platform_code = 15;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\nmessage TripModifications {\n  // A `Modification` message replaces a span of n stop times from each affected trip starting at `start_stop_selector`.\n  message Modification {\n    // The stop selector of the first stop_time of the original trip that is to be affected by this modification.\n    // Used in conjunction with `end_stop_selector`. \n    // `start_stop_selector` is required and is used to define the reference stop used with `travel_time_to_stop`.\n    optional StopSelector start_stop_selector = 1;\n\n    // The stop selector of the last stop of the original trip that is to be affected by this modification. \n    // The selection is inclusive, so if only one stop_time is replaced by that modification, `start_stop_selector` and `end_stop_selector` must be equivalent.\n    // If no stop_time is replaced, `end_stop_selector` must not be provided. It's otherwise required.\n    optional StopSelector end_stop_selector = 2;\n\n    // The number of seconds of delay to add to all departure and arrival times following the end of this modification. \n    // If multiple modifications apply to the same trip, the delays accumulate as the trip advances. \n    optional int32 propagated_modification_delay = 3 [default = 0];\n\n    // A list of replacement stops, replacing those of the original trip. \n    // The length of the new stop times may be less, the same, or greater than the number of replaced stop times. \n    repeated ReplacementStop replacement_stops = 4;\n\n    // An `id` value from the `FeedEntity` message that contains the `Alert` describing this Modification for user-facing communication.\n    optional string service_alert_id = 5;\n\n    // This timestamp identifies the moment when the modification has last been changed.\n    // In POSIX time (i.e., number of seconds since January 1st 1970 00:00:00 UTC).\n    optional uint64 last_modified_time = 6;\n\n    // The extensions namespace allows 3rd-party developers to extend the\n    // GTFS Realtime Specification in order to add and evaluate new features and\n    // modifications to the spec.\n    extensions 1000 to 1999;\n\n    // The following extension IDs are reserved for private use by any organization.\n    extensions 9000 to 9999;\n  }\n\n  message SelectedTrips {\n    // A list of trips affected with this replacement that all have the same new `shape_id`. A `TripUpdate` with `schedule_relationship=REPLACEMENT` must not already exist for the trip.\n    repeated string trip_ids = 1;\n    // The ID of the new shape for the modified trips in this SelectedTrips. \n    // May refer to a new shape added using a `Shape` message in the same GTFS-RT feed, or to an existing shape defined in the GTFS-Static feed’s shapes.txt. \n    // If it refers to a `Shape` entity in the real-time feed, the value of this field should be the one of the `shape_id` inside the entity, and _not_ the `id` of `FeedEntity`.\n    optional string shape_id = 2;\n\n    // The extensions namespace allows 3rd-party developers to extend the\n    // GTFS Realtime Specification in order to add and evaluate new features and\n    // modifications to the spec.\n    extensions 1000 to 1999;\n\n    // The following extension IDs are reserved for private use by any organization.\n    extensions 9000 to 9999;\n  }\n\n  // A list of selected trips affected by this TripModifications.\n  repeated SelectedTrips selected_trips = 1;\n\n  // A list of start times in the real-time trip descriptor for the trip_id defined in trip_ids. \n  // Useful to target multiple departures of a trip_id in a frequency-based trip.\n  repeated string start_times = 2;\n\n  // Dates on which the modifications occurs, in the YYYYMMDD format. Producers SHOULD only transmit detours occurring within the next week.\n  // The dates provided should not be used as user-facing information, if a user-facing start and end date needs to be provided, they can be provided in the linked service alert with `service_alert_id`\n  repeated string service_dates = 3;\n\n  // A list of modifications to apply to the affected trips. \n  repeated Modification modifications = 4;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\n// Select a stop by stop sequence or by stop_id. At least one of the two values must be provided.\nmessage StopSelector {\n  // Must be the same as in stop_times.txt in the corresponding GTFS feed.\n  optional uint32 stop_sequence = 1;\n  // Must be the same as in stops.txt in the corresponding GTFS feed.\n  optional string stop_id = 2;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n\n// NOTE: This field is still experimental, and subject to change. It may be formally adopted in the future.\nmessage ReplacementStop {\n  // The difference in seconds between the arrival time at this stop and the arrival time at the reference stop. The reference stop is the stop prior to start_stop_selector. If the modification begins at the first stop of the trip, then the first stop of the trip is the reference stop.\n  // This value MUST be monotonically increasing and may only be a negative number if the first stop of the original trip is the reference stop.\n  optional int32 travel_time_to_stop = 1;\n\n  // The replacement stop ID which will now be visited by the trip. May refer to a new stop added using a GTFS-RT `Stop` message in the same GTFS-RT feed, or to an existing stop defined in the (CSV) GTFS feed’s `stops.txt`.\n  // If it refers to a `Shape` entity in the real-time feed, the value of this field should be the one of the `stop_id` inside the entity, and _not_ the `id` of `FeedEntity`. The replacement stop MUST have `location_type=0` (routable stops).\n  optional string stop_id = 2;\n\n  // The extensions namespace allows 3rd-party developers to extend the\n  // GTFS Realtime Specification in order to add and evaluate new features and\n  // modifications to the spec.\n  extensions 1000 to 1999;\n\n  // The following extension IDs are reserved for private use by any organization.\n  extensions 9000 to 9999;\n}\n"
  },
  {
    "path": "apps/transport/lib/transport/protobuf/readme.md",
    "content": "`gtfs-realtime.pb.ex` is the compiled result of `gtfs-realtime.proto` via the Elixir protobuf compiler plugin.\n\nDo not edit it by hand please!\n\n## How to regenerate the files\n\n* [gtfs-realtime.proto source](https://raw.githubusercontent.com/google/transit/master/gtfs-realtime/proto/gtfs-realtime.proto)\n\nOn Mac:\n\n```sh\nbrew install protobuf\nmix escript.install hex protobuf\nasdf reshim elixir\n```\n\nThen:\n\n```sh\nprotoc --elixir_out=. gtfs-realtime.proto\n```\n"
  },
  {
    "path": "apps/transport/lib/transport/quantum_scheduler.ex",
    "content": "defmodule Transport.QuantumScheduler do\n  @moduledoc \"\"\"\n  In-memory cron scheduler (Quantum) for jobs that don't need DB-backed\n  scheduling (no retries, no persistence, no UI). Coexists with Oban Cron\n  (`config/runtime.exs`) which handles jobs needing those features.\n  \"\"\"\n\n  use Quantum,\n    otp_app: :transport\n\n  @doc \"\"\"\n  The jobs are defined here, but only programmatically activated on one node. See `config/runtime.exs`.\n\n  Tasks use `&Mod.fun/0` captures rather than `{Mod, :fun, []}` tuples to get compile-time\n  checking of the references (e.g. catch #5046).\n  \"\"\"\n  def scheduled_jobs do\n    [\n      # Every day at 4am UTC\n      {\"0 4 * * *\", &Transport.ImportData.import_validate_all/0},\n      # Set inactive data\n      {\"@daily\", &Transport.DataChecker.inactive_data/0},\n      # Watch for new comments on datasets\n      {\"@daily\", &Transport.CommentsChecker.check_for_new_comments/0},\n      # clean old logs\n      {\"0 3 * * *\", &Transport.LogCleaner.clean_old_logs/0},\n      # compute some global stats and store them in the DB\n      {\"0 20 * * *\", &Transport.StatsHandler.store_stats/0},\n      # Duplicate `Transport.Jobs.RefreshAutocompleteJob` (Oban, see #5114). Kept for now.\n      {\"0 * * * *\", &Transport.ImportData.refresh_autocomplete/0}\n    ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/schemas.ex",
    "content": "defmodule Transport.Schemas.Wrapper do\n  @moduledoc \"\"\"\n  This behaviour defines the API for schemas\n  \"\"\"\n  defp impl, do: Application.get_env(:transport, :schemas_impl)\n\n  @callback schemas_by_type(binary()) :: map()\n  def schemas_by_type(type), do: impl().schemas_by_type(type)\n\n  @callback transport_schemas() :: map()\n  def transport_schemas, do: impl().transport_schemas()\n\n  def known_schema?(schema_name), do: Map.has_key?(transport_schemas(), schema_name)\n\n  def schema_type(schema_name) do\n    cond do\n      tableschema?(schema_name) -> \"tableschema\"\n      jsonschema?(schema_name) -> \"jsonschema\"\n    end\n  end\n\n  def tableschema?(schema_name) do\n    Map.has_key?(schemas_by_type(\"tableschema\"), schema_name)\n  end\n\n  def jsonschema?(schema_name) do\n    Map.has_key?(schemas_by_type(\"jsonschema\"), schema_name)\n  end\n\n  @doc \"\"\"\n  Get the latest version for a given schema name.\n  \"\"\"\n  def latest_version(schema_name) when is_binary(schema_name) do\n    schema_name |> schema_versions() |> Enum.at(-1)\n  end\n\n  @doc \"\"\"\n  Fetches all the version numbers for a given schema name.\n  \"\"\"\n  def schema_versions(schema_name) when is_binary(schema_name) do\n    transport_schemas()\n    |> Map.fetch!(schema_name)\n    |> Map.fetch!(\"versions\")\n    |> Enum.map(& &1[\"version_name\"])\n  end\nend\n\ndefmodule Transport.Schemas do\n  @moduledoc \"\"\"\n  Load transport schemas listed on https://schema.data.gouv.fr\n  \"\"\"\n  alias Transport.Schemas.Wrapper\n  @behaviour Transport.Schemas.Wrapper\n\n  @schemas_catalog_url \"https://schema.data.gouv.fr/schemas.json\"\n\n  def schema_url(schema_name, schema_version) do\n    schema = Map.fetch!(Wrapper.transport_schemas(), schema_name)\n\n    schema_version = if schema_version == \"latest\", do: Wrapper.latest_version(schema_name), else: schema_version\n\n    unless Enum.member?(Wrapper.schema_versions(schema_name), schema_version) do\n      raise KeyError, \"#{schema_version} is not a valid version for #{schema_name}\"\n    end\n\n    Map.fetch!(\n      Enum.find(Map.fetch!(schema, \"versions\"), &(Map.fetch!(&1, \"version_name\") == schema_version)),\n      \"schema_url\"\n    )\n  end\n\n  def documentation_url(schema_name), do: documentation_url(schema_name, nil)\n\n  def documentation_url(schema_name, nil = _schema_version) do\n    _ = Map.fetch!(Wrapper.transport_schemas(), schema_name)\n    \"https://schema.data.gouv.fr/#{schema_name}/\"\n  end\n\n  def documentation_url(schema_name, schema_version) when not is_nil(schema_version) do\n    _ = Map.fetch!(Wrapper.transport_schemas(), schema_name)\n\n    unless Enum.member?(Wrapper.schema_versions(schema_name), schema_version) do\n      raise KeyError, \"#{schema_version} is not a valid version for #{schema_name}\"\n    end\n\n    \"https://schema.data.gouv.fr/#{schema_name}/#{schema_version}/\"\n  end\n\n  @impl true\n  def schemas_by_type(schema_type) when schema_type in [\"tableschema\", \"jsonschema\"] do\n    :maps.filter(fn _, v -> v[\"schema_type\"] == schema_type end, Wrapper.transport_schemas())\n  end\n\n  @impl true\n  def transport_schemas do\n    comp_fn = fn ->\n      %HTTPoison.Response{status_code: 200, body: body} = http_client().get!(@schemas_catalog_url)\n\n      body\n      |> Jason.decode!()\n      |> Map.fetch!(\"schemas\")\n      |> Enum.filter(\n        &(Enum.member?(&1[\"labels\"], \"transport.data.gouv.fr\") and Map.fetch!(&1, \"schema_type\") != \"datapackage\")\n      )\n      |> Enum.into(%{}, fn schema -> {Map.fetch!(schema, \"name\"), schema} end)\n    end\n\n    cache_fetch(\"transport_schemas\", comp_fn)\n  end\n\n  def cache_fetch(cache_key, comp_fn, ttl \\\\ 300) do\n    outcome =\n      Cachex.fetch(cache_name(), cache_key, fn _ ->\n        {:commit, comp_fn.(), expire: :timer.seconds(ttl)}\n      end)\n\n    case outcome do\n      {:ok, result} ->\n        result\n\n      {:commit, result} ->\n        result\n    end\n  end\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\n  defp cache_name, do: Transport.Application.cache_name()\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/search_communes.ex",
    "content": "defmodule Transport.SearchCommunes do\n  @moduledoc \"\"\"\n  This modules loads the communes in memory and provides search on it\n  \"\"\"\n\n  use Agent\n  alias DB.{Commune, Repo}\n  import Ecto.Query\n\n  def start_link(_initial_value) do\n    Agent.start_link(&load_communes/0, name: __MODULE__)\n  end\n\n  def search(term) do\n    Agent.get(__MODULE__, __MODULE__, :filter, [term])\n  end\n\n  @doc \"\"\"\n  Filter list of communes by a search term\n  ## Examples\n  iex> l = [%{nom: \"Paris\", insee: \"75116\"}, %{nom: \"Paris-l'Hôpital\", insee: \"71343\"}]\n  ...> |> Enum.map(&Transport.SearchCommunes.make_search_struct/1)\n  [\n    %{insee: \"75116\", nom: \"Paris\", normalized_nom: \"paris\"},\n    %{insee: \"71343\", nom: \"Paris-l'Hôpital\", normalized_nom: \"parislhopital\"}\n  ]\n  iex> Transport.SearchCommunes.filter(l, \"paris\")\n  [\n    %{insee: \"75116\", nom: \"Paris\", normalized_nom: \"paris\"},\n    %{insee: \"71343\", nom: \"Paris-l'Hôpital\", normalized_nom: \"parislhopital\"}\n  ]\n  iex> Transport.SearchCommunes.filter(l, \"paris 75\")\n  [\n    %{insee: \"75116\", nom: \"Paris\", normalized_nom: \"paris\"},\n  ]\n  iex> Transport.SearchCommunes.filter(l, \"hôpital\")\n  [\n    %{insee: \"71343\", nom: \"Paris-l'Hôpital\", normalized_nom: \"parislhopital\"}\n  ]\n  \"\"\"\n  @spec filter([map()], binary()) :: [map()]\n  def filter(communes, term) do\n    alpha_term = normalize_alpha(term)\n    num_term = get_num(term)\n\n    communes\n    |> Stream.filter(fn c -> String.contains?(c.normalized_nom, alpha_term) end)\n    |> Stream.filter(fn c -> search_insee(c, num_term) end)\n    |> Enum.to_list()\n  end\n\n  @doc \"\"\"\n  Extract, normalize and downcase a string\n  ## Examples\n  iex> Transport.SearchCommunes.normalize_alpha(\"Paris\")\n  \"paris\"\n  iex> Transport.SearchCommunes.normalize_alpha(\"Paris 75116\")\n  \"paris\"\n  iex> Transport.SearchCommunes.normalize_alpha(\"Châteauroux\")\n  \"chateauroux\"\n  \"\"\"\n  @spec normalize_alpha(binary()) :: binary()\n  def normalize_alpha(s) do\n    s\n    |> String.normalize(:nfd)\n    |> String.replace(~r/[^A-z]/u, \"\")\n    |> String.downcase()\n  end\n\n  @doc \"\"\"\n  Get num part of a string\n  ## Examples\n  iex> Transport.SearchCommunes.get_num(\"22\")\n  \"22\"\n  iex> Transport.SearchCommunes.get_num(\"Paris 75116\")\n  \"75116\"\n  iex> Transport.SearchCommunes.get_num(\"Ajaccio 2A\")\n  \"2A\"\n  iex> Transport.SearchCommunes.get_num(\"Ajaccio 2A004\")\n  \"2A004\"\n  iex> Transport.SearchCommunes.get_num(\"Ajaccio 2C004\")\n  \"2\"\n  \"\"\"\n  @spec get_num(binary()) :: binary()\n  def get_num(term) do\n    case Regex.run(~r/\\d([A,B])?\\d*/, term) do\n      nil -> \"\"\n      [a | _] -> a\n    end\n  end\n\n  @doc \"\"\"\n  Search for insee code if term is not empty\n  ## Examples\n  iex> Transport.SearchCommunes.search_insee(%{nom: \"paris\", insee: \"75116\"}, \"\")\n  true\n  iex> Transport.SearchCommunes.search_insee(%{nom: \"paris\", insee: \"75116\"}, \"75\")\n  true\n  iex> Transport.SearchCommunes.search_insee(%{nom: \"paris\", insee: \"75116\"}, \"85\")\n  false\n  \"\"\"\n  @spec search_insee(map(), binary) :: boolean\n  def search_insee(_, \"\"), do: true\n\n  def search_insee(%{insee: insee}, n) do\n    String.starts_with?(insee, n)\n  end\n\n  @spec make_search_struct(%{nom: binary()}) :: %{nom: binary(), normalized_nom: binary()}\n  def make_search_struct(%{nom: nom} = s), do: Map.put(s, :normalized_nom, normalize_alpha(nom))\n\n  @spec load_communes :: [Commune.t()]\n  defp load_communes do\n    Commune\n    |> select([:id, :nom, :insee])\n    |> load_and_make_search_struct()\n  end\n\n  def load_administrative_divisions do\n    DB.AdministrativeDivision\n    |> select([:id, :nom, :insee, :type, :type_insee])\n    |> load_and_make_search_struct()\n  end\n\n  defp load_and_make_search_struct(query) do\n    query\n    |> Repo.all()\n    |> Enum.map(&make_search_struct/1)\n    |> Enum.sort_by(fn c -> byte_size(c.nom) end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/stats_handler.ex",
    "content": "defmodule Transport.StatsHandler do\n  @moduledoc \"\"\"\n  Compute statistics on the datasets\n  Also contains a function called periodically to store the stats in the DB\n  \"\"\"\n  import Ecto.Query\n  require Logger\n\n  @doc \"\"\"\n  Compute and store all stats as a snapshot of the database\n  \"\"\"\n  @spec store_stats() :: any()\n  def store_stats do\n    timestamp = DateTime.truncate(DateTime.utc_now(), :second)\n\n    compute_stats() |> Enum.each(fn {k, v} -> store_stat_history(k, v, timestamp) end)\n  end\n\n  defp store_stat_history(key, values, %DateTime{} = timestamp)\n       when key in [:gtfs_rt_types, :climate_resilience_bill_count, :count_geo_data_lines, :reuses] do\n    Enum.map(values, fn {type, count} ->\n      store_stat_history(\"#{key}::#{type}\", count, timestamp)\n    end)\n  end\n\n  defp store_stat_history(key, value, %DateTime{} = timestamp) when is_number(value) do\n    %DB.StatsHistory{timestamp: timestamp, metric: to_string(key), value: value} |> DB.Repo.insert!()\n  end\n\n  @doc \"\"\"\n  Compute all stats\n  \"\"\"\n  @spec compute_stats() :: any()\n  def compute_stats do\n    aoms =\n      DB.AOM\n      |> join(:left, [a], d in assoc(a, :legal_owners_dataset), as: :dataset)\n      |> group_by([a], [a.id, a.population])\n      |> select([a, dataset: d], %{\n        population: a.population,\n        nb_datasets: count(d.id)\n      })\n      |> DB.Repo.all()\n\n    aoms_with_datasets = aoms |> Enum.filter(&(&1.nb_datasets > 0))\n\n    regions = DB.Repo.all(from(r in DB.Region, where: r.nom != \"National\"))\n\n    aoms_max_gtfs_severity = compute_aom_gtfs_max_severity()\n\n    total_aom_with_gtfs_datasets =\n      aoms_max_gtfs_severity\n      |> Map.values()\n      |> Enum.filter(fn error -> not is_nil(error) end)\n      |> Enum.sum()\n\n    %{\n      nb_datasets: DB.Repo.aggregate(DB.Dataset.base_query(), :count, :id),\n      nb_pt_datasets: DB.Dataset.count_by_type(\"public-transit\"),\n      nb_aoms: Enum.count(aoms),\n      nb_aoms_with_data: Enum.count(aoms_with_datasets),\n      nb_regions: Enum.count(regions),\n      population_totale: get_population(aoms),\n      population_couverte: get_population(aoms_with_datasets),\n      ratio_aom_with_at_most_warnings:\n        ratio_aom_with_at_most_warnings(aoms_max_gtfs_severity, total_aom_with_gtfs_datasets),\n      ratio_aom_good_quality: ratio_aom_good_quality(aoms_max_gtfs_severity, total_aom_with_gtfs_datasets),\n      aom_with_errors: Map.get(aoms_max_gtfs_severity, \"Error\", 0),\n      aom_with_fatal: Map.get(aoms_max_gtfs_severity, \"Fatal\", 0),\n      nb_official_public_transit_realtime: DB.Dataset.count_public_transport_has_realtime(),\n      nb_reuses: nb_reuses(),\n      nb_dataset_types: nb_dataset_types(),\n      nb_gtfs: count_dataset_with_format(\"GTFS\"),\n      nb_netex: count_dataset_with_format(\"NeTEx\"),\n      nb_bss_datasets: count_dataset_with_format(\"gbfs\"),\n      nb_vehicles_sharing_datasets: DB.Dataset.count_by_type(\"vehicles-sharing\"),\n      nb_gtfs_rt: count_dataset_with_format(\"gtfs-rt\"),\n      gtfs_rt_types: count_feed_types_gtfs_rt(),\n      climate_resilience_bill_count: count_datasets_climate_resilience_bill(),\n      nb_siri: count_dataset_with_format(\"SIRI\"),\n      nb_siri_lite: count_dataset_with_format(\"SIRI Lite\"),\n      count_geo_data_lines: count_geo_data_lines(),\n      reuses: reuses_stats()\n    }\n    |> Map.merge(gbfs_stats())\n    |> Map.merge(count_resources_stats())\n  end\n\n  def count_resources_stats do\n    DB.Resource.base_query()\n    |> group_by([r], r.format)\n    |> having([r], count(r.id) >= 5)\n    |> where([r], not is_nil(r.format))\n    |> select([r], %{format: r.format, count: count(r.id)})\n    |> DB.Repo.all()\n    |> Map.new(&{&1.format, &1.count})\n    |> Map.new(fn {k, v} ->\n      k = String.downcase(k) |> String.replace([\"-\", \"_\", \" \"], \"_\")\n      key = \"nb_#{k}_resources\"\n      {String.to_atom(key), v}\n    end)\n  end\n\n  def gbfs_stats do\n    today = Date.utc_today()\n\n    # Latest metadata for each GBFS resource for today\n    rows =\n      DB.ResourceMetadata.base_query()\n      |> join(:inner, [metadata: m], r in DB.Resource, on: r.id == m.resource_id, as: :resource)\n      |> where([resource: r], r.format == \"gbfs\")\n      |> where([metadata: m], fragment(\"?::date\", m.inserted_at) == ^today and fragment(\"? \\\\? 'stats'\", m.metadata))\n      |> select([metadata: m], last_value(m.metadata) |> over(partition_by: m.resource_id, order_by: m.resource_id))\n      |> distinct(true)\n      |> DB.Repo.all()\n\n    if Enum.empty?(rows) do\n      %{}\n    else\n      [&gbfs_versions_stats/1, &gbfs_vehicle_types_stats/1, &gbfs_feed_types_stats/1, &gbfs_counters_stats/1]\n      |> Enum.reduce(%{}, fn method, acc -> Map.merge(acc, method.(rows)) end)\n    end\n  end\n\n  @doc \"\"\"\n  iex> gbfs_counters_stats([%{\"stats\" => %{\"nb_stations\" => 40, \"nb_vehicles\" => 5, \"version\" => 1}}, %{\"stats\" => %{\"nb_stations\" => 2, \"nb_vehicles\" => 3, \"version\" => 1}}])\n  %{gbfs_nb_stations_sum: 42, gbfs_nb_vehicles_sum: 8}\n  \"\"\"\n  def gbfs_counters_stats(rows) do\n    rows\n    # Keep only keys starting with `nb_`\n    |> Enum.map(&Map.filter(&1[\"stats\"], fn {k, _} -> String.starts_with?(k, \"nb_\") end))\n    # Keep a single map, summing all values for each key\n    |> Enum.reduce(&Map.merge(&1, &2, fn _, v1, v2 -> v1 + v2 end))\n    |> Map.new(fn {k, v} -> {String.to_atom(\"gbfs_#{k}_sum\"), v} end)\n  end\n\n  @doc \"\"\"\n  iex> gbfs_versions_stats([%{\"versions\" => [\"3.0\", \"2.2\"]}, %{\"versions\" => [\"3.0\", \"1.0\"]}])\n  %{\"gbfs_v1.0_count\": 1, \"gbfs_v2.2_count\": 1, \"gbfs_v3.0_count\": 2}\n  iex> gbfs_versions_stats([%{\"versions\" => nil}, %{\"versions\" => [\"3.0\", \"1.0\"]}])\n  %{\"gbfs_v1.0_count\": 1, \"gbfs_v3.0_count\": 1}\n  \"\"\"\n  def gbfs_versions_stats(rows) do\n    rows\n    |> Enum.flat_map(&(&1[\"versions\"] || []))\n    |> Enum.frequencies()\n    |> Map.new(fn {k, v} -> {String.to_atom(\"gbfs_v#{k}_count\"), v} end)\n  end\n\n  @doc \"\"\"\n  iex> gbfs_vehicle_types_stats([%{\"vehicle_types\" => [\"bicycle\", \"scooter\"]}, %{\"vehicle_types\" => [\"bicycle\"]}])\n  %{gbfs_vehicle_type_bicycle_count: 2, gbfs_vehicle_type_scooter_count: 1}\n  iex> gbfs_vehicle_types_stats([%{\"vehicle_types\" => [\"bicycle\"]}, %{\"vehicle_types\" => nil}])\n  %{gbfs_vehicle_type_bicycle_count: 1}\n  \"\"\"\n  def gbfs_vehicle_types_stats(rows) do\n    rows\n    |> Enum.flat_map(&(&1[\"vehicle_types\"] || []))\n    |> Enum.frequencies()\n    |> Map.new(fn {k, v} -> {String.to_atom(\"gbfs_vehicle_type_#{k}_count\"), v} end)\n  end\n\n  @doc \"\"\"\n  iex> gbfs_feed_types_stats([%{\"types\" => [\"free_floating\", \"stations\"]}, %{\"types\" => [\"stations\"]}])\n  %{gbfs_feed_type_free_floating_count: 1, gbfs_feed_type_stations_count: 2}\n  iex> gbfs_feed_types_stats([%{\"types\" => nil}, %{\"types\" => [\"stations\"]}])\n  %{gbfs_feed_type_stations_count: 1}\n  \"\"\"\n  def gbfs_feed_types_stats(rows) do\n    rows\n    |> Enum.flat_map(&(&1[\"types\"] || []))\n    |> Enum.frequencies()\n    |> Map.new(fn {k, v} -> {String.to_atom(\"gbfs_feed_type_#{k}_count\"), v} end)\n  end\n\n  @doc \"\"\"\n  Count the number of gtfs-rt entities seen in the last 7 days on our resources\n  Output example: %{\"service_alerts\" => 12, \"trip_updates\" => 63, \"vehicle_positions\" => 42}\n  \"\"\"\n  @spec count_feed_types_gtfs_rt :: map()\n  def count_feed_types_gtfs_rt do\n    features =\n      DB.ResourceMetadata.base_query()\n      |> distinct(true)\n      |> join(:inner, [metadata: m], r in DB.Resource, on: r.id == m.resource_id, as: :resource)\n      |> where(\n        [metadata: m, resource: r],\n        r.format == \"gtfs-rt\" and m.inserted_at > ^Transport.Jobs.GTFSRTMetadataJob.datetime_limit()\n      )\n      |> select([metadata: m], %{resource_id: m.resource_id, feature: fragment(\"unnest(?)\", m.features)})\n\n    q = from(f in subquery(features))\n\n    q\n    |> group_by([f], f.feature)\n    |> select([f], {f.feature, count(f.feature)})\n    |> DB.Repo.all()\n    |> Enum.into(%{})\n  end\n\n  def reuses_stats do\n    reuses_by_type =\n      DB.Reuse.base_query()\n      |> group_by([reuse: r], r.type)\n      |> select([reuse: r], {r.type, count(r.id)})\n      |> DB.Repo.all()\n      |> Enum.into(%{})\n\n    reuses_metrics_sum =\n      DB.Reuse.base_query()\n      |> select([reuse: r], %{\n        sum_metric_discussions: sum(r.metric_discussions),\n        sum_metric_followers: sum(r.metric_followers),\n        sum_metric_views: sum(r.metric_views)\n      })\n      |> DB.Repo.one()\n\n    %{\n      nb_reuses: DB.Repo.aggregate(DB.Reuse.base_query(), :count, :id)\n    }\n    |> Map.merge(reuses_by_type)\n    |> Map.merge(reuses_metrics_sum)\n  end\n\n  defp count_datasets_climate_resilience_bill do\n    DB.Dataset.base_query()\n    |> where([dataset: d], \"loi-climat-resilience\" in d.custom_tags)\n    |> group_by([dataset: d], d.type)\n    |> select([dataset: d], {d.type, count(d.id)})\n    |> DB.Repo.all()\n    |> Enum.into(%{})\n  end\n\n  defp get_population(datasets) do\n    datasets\n    |> Enum.reduce(0, &(&1.population + &2))\n    |> Kernel./(1_000_000)\n    |> Kernel.round()\n  end\n\n  defp nb_dataset_types do\n    DB.Dataset.base_query()\n    |> select([dataset: d], count(d.type, :distinct))\n    |> DB.Repo.one()\n  end\n\n  defp nb_reuses do\n    DB.Repo.aggregate(DB.Dataset, :sum, :nb_reuses) || 0\n  end\n\n  def count_dataset_with_format(format) do\n    DB.Dataset.base_query()\n    |> DB.Resource.join_dataset_with_resource()\n    |> where([resource: r], r.format == ^format)\n    |> select([resource: r], count(r.dataset_id, :distinct))\n    |> DB.Repo.one()\n  end\n\n  @spec compute_aom_gtfs_max_severity() :: %{binary() => integer()}\n  def compute_aom_gtfs_max_severity do\n    # consolidate the maximum error for the current datasets of each AOMs\n    # return, for each error, the number of AOM with this maximum error\n    dt = Date.utc_today()\n\n    validation_infos =\n      DB.Dataset.base_query()\n      |> DB.Dataset.join_from_dataset_to_metadata(\n        Enum.map(\n          Transport.ValidatorsSelection.validators_for_feature(:stats_compute_aom_gtfs_max_severity),\n          & &1.validator_name()\n        )\n      )\n      |> select([resource: r, multi_validation: mv, metadata: m], %{\n        max_error:\n          fragment(\"\"\"\n          CASE max_error::text\n          WHEN 'Fatal' THEN 4\n          WHEN 'Error' THEN 3\n          WHEN 'Warning' THEN 2\n          WHEN 'Information' THEN 1\n          ELSE 0\n          END\n          \"\"\"),\n        resource_id: r.id,\n        end_date: fragment(\"TO_DATE(?->>'end_date', 'YYYY-MM-DD')\", m.metadata)\n      })\n\n    DB.AOM\n    |> join(:left, [a], d in assoc(a, :legal_owners_dataset), as: :dataset)\n    |> join(:left, [_, dataset], _r in assoc(dataset, :resources))\n    |> join(:left, [_, _, r], v in subquery(validation_infos), on: v.resource_id == r.id)\n    |> where([_a, _d, r, _v], r.format == \"GTFS\")\n    |> where([_a, _d, _r, v], v.end_date >= ^dt)\n    |> group_by([a, _d, _r, v], a.id)\n    |> select([a, d, r, v], %{\n      aom: a.id,\n      max_error: max(v.max_error)\n    })\n    |> DB.Repo.all()\n    |> List.foldl(%{}, fn %{max_error: max_error}, acc ->\n      max_error =\n        case max_error do\n          4 -> \"Fatal\"\n          3 -> \"Error\"\n          2 -> \"Warning\"\n          1 -> \"Information\"\n          0 -> \"NoError\"\n          _ -> nil\n        end\n\n      Map.update(acc, max_error, 1, fn v -> v + 1 end)\n    end)\n  end\n\n  @spec ratio_aom_with_at_most_warnings(%{binary() => integer()}, integer()) :: integer()\n  defp ratio_aom_with_at_most_warnings(_aom_max_severity, 0) do\n    0\n  end\n\n  defp ratio_aom_with_at_most_warnings(aom_max_severity, nb_aom_with_data) do\n    sum =\n      Map.get(aom_max_severity, \"Warning\", 0) +\n        Map.get(aom_max_severity, \"Information\", 0) +\n        Map.get(aom_max_severity, \"Irrelevant\", 0) +\n        Map.get(aom_max_severity, \"NoError\", 0)\n\n    sum / nb_aom_with_data\n  end\n\n  @spec ratio_aom_good_quality(%{binary() => integer()}, integer()) :: integer()\n  defp ratio_aom_good_quality(_aom_max_severity, 0) do\n    0\n  end\n\n  defp ratio_aom_good_quality(aom_max_severity, nb_aom_with_data) do\n    sum =\n      Map.get(aom_max_severity, \"Information\", 0) +\n        Map.get(aom_max_severity, \"Irrelevant\", 0) +\n        Map.get(aom_max_severity, \"NoError\", 0)\n\n    sum / nb_aom_with_data\n  end\n\n  def count_geo_data_lines do\n    Transport.ConsolidatedDataset.geo_data_datasets()\n    |> Map.new(fn feature -> {feature, count_geo_data_lines(feature)} end)\n  end\n\n  def count_geo_data_lines(feature) do\n    DB.Repo.get_by(DB.GeoDataImport, slug: feature)\n    |> DB.GeoData.count_lines_for_geo_data_import()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/telemetry.ex",
    "content": "defmodule Transport.Telemetry do\n  require Logger\n\n  @proxy_request_types Unlock.Telemetry.proxy_request_types()\n  defdelegate proxy_request_event_names(), to: Unlock.Telemetry\n  defdelegate proxy_request_event_name(request), to: Unlock.Telemetry\n\n  def conversions_get_event_names do\n    DB.DataConversion.available_conversion_formats() |> Enum.map(&[:conversions, :get, &1])\n  end\n\n  @moduledoc \"\"\"\n  This place groups various aspects of event handling (currently to get metrics for the proxy, later more):\n  - events handler declaration\n  - upsert code to make it easy to count an event in database\n  - setup code\n  \"\"\"\n\n  @doc \"\"\"\n\n  Important: as documented here https://github.com/beam-telemetry/telemetry:\n\n  \" The handle_event callback of each handler is invoked synchronously on each telemetry:execute call. Therefore, it is extremely important\n  to avoid blocking operations. If you need to perform any action that it is not immediate, consider offloading the work to a separate\n  process (or a pool of processes) by sending a message. \"\n\n  \"\"\"\n  def handle_event(\n        [:proxy, :request, type] = event,\n        _measurements,\n        %{target: target},\n        _config\n      )\n      when type in @proxy_request_types do\n    # make it non-blocking, to ensure the traffic will be served quickly. this also means, though, we\n    # won't notice if a tracing of event fails\n    Logger.debug(\"Telemetry event: processing #{type} proxy request for #{target}\")\n    # Increment an event in memory.\n    # `Unlock.BatchMetrics` is in charge of inserting records in the database regularly.\n    Unlock.EventIncrementer.impl().incr_event(%{target: target, event: database_event_name(event)})\n  end\n\n  def handle_event(\n        [:conversions, :get, convert_to] = event,\n        _measurements,\n        %{target: target},\n        _config\n      ) do\n    # make it non-blocking, to ensure the traffic will be served quickly. this also means, though, we\n    # won't notice if a tracing of event fails\n    Task.start(fn ->\n      Logger.debug(\"Telemetry event: processing #{convert_to} conversions request for #{target}\")\n      count_event(target, event, DateTime.utc_now(), :day)\n    end)\n  end\n\n  def database_event_name(event_name), do: Enum.join(event_name, \":\")\n\n  @doc \"\"\"\n  We embrace the fact that our current implementation's goal is not to replace\n  a full-blown timeseries, by limiting the bucket timespan to 1 hour.\n\n  iex> truncate_datetime_to_hour(~U[2023-03-14 09:36:11.642695Z])\n  ~U[2023-03-14 09:00:00Z]\n  \"\"\"\n  def truncate_datetime_to_hour(datetime) do\n    %{DateTime.truncate(datetime, :second) | second: 0, minute: 0}\n  end\n\n  @doc \"\"\"\n  iex> truncate_datetime_to_day(~U[2023-03-14 09:36:11.642695Z])\n  ~U[2023-03-14 00:00:00Z]\n  \"\"\"\n  def truncate_datetime_to_day(datetime) do\n    %{DateTime.truncate(datetime, :second) | second: 0, minute: 0, hour: 0}\n  end\n\n  @doc \"\"\"\n  Atomically upsert a count record in the database.\n  \"\"\"\n  def count_event(target, event, period \\\\ DateTime.utc_now(), truncate_period \\\\ :hour) do\n    event = database_event_name(event)\n\n    period =\n      case truncate_period do\n        :hour -> truncate_datetime_to_hour(period)\n        :day -> truncate_datetime_to_day(period)\n      end\n\n    DB.Repo.insert!(\n      %DB.Metrics{target: target, event: event, period: period, count: 1},\n      returning: [:count],\n      conflict_target: [:target, :event, :period],\n      on_conflict: [inc: [count: 1]]\n    )\n  end\n\n  @doc \"\"\"\n  Attach the required handlers. To be called at application start.\n  \"\"\"\n  def setup do\n    [\n      {\"proxy-logging-handler\", proxy_request_event_names()},\n      {\"conversions-logging-handler\", conversions_get_event_names()}\n    ]\n    |> Enum.each(fn {name, events} ->\n      :ok =\n        :telemetry.attach_many(\n          # unique handler id\n          name,\n          # here we list the \"event names\" (a name is actually a list of atoms, per\n          # https://hexdocs.pm/telemetry/telemetry.html#t:event_name/0)\n          # for which we want to be called in the handler\n          events,\n          &Transport.Telemetry.handle_event/4,\n          nil\n        )\n    end)\n\n    :ok =\n      :telemetry.attach(\n        \"oban-workflow-failures\",\n        [:oban, :job, :exception],\n        &Transport.Jobs.Workflow.handle_event/4,\n        nil\n      )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/vault.ex",
    "content": "defmodule Transport.Vault do\n  @moduledoc \"\"\"\n  A vault, used by `cloak_ecto` to encrypt/decrypt\n  https://hexdocs.pm/cloak_ecto/install.html#create-a-vault\n  \"\"\"\n  use Cloak.Vault, otp_app: :transport\n\n  @impl GenServer\n  def init(config) do\n    # See config recommendation\n    # https://github.com/danielberkompas/cloak#configuration\n    config =\n      Keyword.put(config, :ciphers, default: {Cloak.Ciphers.AES.GCM, tag: \"AES.GCM.V2\", key: key(), iv_length: 12})\n\n    {:ok, config}\n  end\n\n  defp key do\n    case Application.fetch_env!(:transport, :app_env) do\n      env when env in [:production, :staging] ->\n        :transport\n        |> Application.fetch_env!(:cloak_key)\n        |> Base.decode64!()\n\n      _ ->\n        # A fake encryption key, suitable for dev/test\n        \"AhBXnRHXxioy+OBaZXP1dawhvhtNFwTzi9kh9QBkXuQ=\"\n        |> Base.decode64!()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport/zip_probe.ex",
    "content": "defmodule Transport.ZipProbe do\n  @moduledoc \"\"\"\n  Utility module to probe/detect ZIP files.\n  \"\"\"\n\n  @doc \"\"\"\n  Cheap heuristic to detect likely ZIP content based on the first four bytes of the file.\n\n  Ref: https://en.wikipedia.org/wiki/ZIP_(file_format)\n\n  ## Examples\n\n      iex> likely_zip_content?(\"PK\\x03\\x04\" <> \"some content\")\n      true\n\n      iex> likely_zip_content?(\"PK\\x05\\x06\" <> \"foobar\")\n      true\n\n      iex> likely_zip_content?(\"some content\")\n      false\n  \"\"\"\n  def likely_zip_content?(<<?P, ?K, a, b, _rest::binary>>) when a < 0x10 and b < 0x10, do: true\n  def likely_zip_content?(_), do: false\nend\n"
  },
  {
    "path": "apps/transport/lib/transport.ex",
    "content": "defmodule Transport do\n  @moduledoc \"\"\"\n  Transport keeps the contexts that define your domain\n  and business logic.\n\n  Contexts are also responsible for managing your data, regardless\n  if it comes from the database, an external API or others.\n  \"\"\"\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/controllers/aom_controller.ex",
    "content": "defmodule TransportWeb.API.AomController do\n  use TransportWeb, :controller\n  import Ecto.Query\n  alias Geo.JSON\n  alias OpenApiSpex.Operation\n  alias Plug.Conn\n\n  @aom_fields [:nom, :insee_commune_principale, :departement, :forme_juridique, :siren]\n\n  @spec open_api_operation(binary()) :: Operation.t()\n  def open_api_operation(action), do: apply(__MODULE__, :\"#{action}_operation\", [])\n\n  @spec by_coordinates_operation :: OpenApiSpex.Operation.t()\n  def by_coordinates_operation,\n    do: %Operation{\n      tags: [\"aom\"],\n      summary: \"Show first AOM containing a point with given coordinates\",\n      operationId: \"API.AOMController.by_coordinates\",\n      parameters: [\n        Operation.parameter(:lon, :query, :number, \"Longitude\"),\n        Operation.parameter(:lat, :query, :number, \"Latitude\")\n      ],\n      responses: %{\n        200 => Operation.response(\"AOM\", \"application/json\", TransportWeb.API.Schemas.AOMResponse)\n      }\n    }\n\n  @spec by_coordinates(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def by_coordinates(conn, %{\"lon\" => lon, \"lat\" => lat}) do\n    with {longitude, _} <- Float.parse(lon),\n         {latitude, _} <- Float.parse(lat) do\n      query_by_coordinates(conn, longitude, latitude)\n    else\n      _ -> invalid_parameters(conn)\n    end\n  end\n\n  def by_coordinates(conn, _), do: invalid_parameters(conn)\n\n  @spec by_insee_operation :: OpenApiSpex.Operation.t()\n  def by_insee_operation,\n    do: %Operation{\n      tags: [\"aom\"],\n      summary: \"Search AOM by INSEE code\",\n      operationId: \"API.AOMController.by_insee_operation\",\n      parameters: [\n        Operation.parameter(:insee, :path, :string, \"INSEE\")\n      ],\n      responses: %{\n        200 => Operation.response(\"AOM\", \"application/json\", TransportWeb.API.Schemas.AOMResponse)\n      }\n    }\n\n  @spec by_insee(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def by_insee(conn, %{\"insee\" => insee}) do\n    data =\n      DB.Commune\n      |> join(:left, [c], a in assoc(c, :aom))\n      |> select([c, a], [map(a, @aom_fields), c])\n      |> where([c, a], c.insee == ^insee)\n      |> DB.Repo.one()\n      |> case do\n        nil -> %{\"error\" => \"Commune not found\"}\n        [nil, _] -> %{\"error\" => \"No corresponding AOM found\"}\n        [aom, _] -> aom\n      end\n\n    conn = if Map.has_key?(data, \"error\"), do: Conn.put_status(conn, :not_found), else: conn\n\n    render(conn, data: data)\n  end\n\n  @spec query_by_coordinates(Plug.Conn.t(), number(), number()) :: Plug.Conn.t()\n  def query_by_coordinates(conn, lon, lat) do\n    aom =\n      DB.AOM\n      |> select([a], map(a, @aom_fields))\n      |> where([a], fragment(\"st_contains(geom, st_setsrid(st_point(?, ?), 4326))\", ^lon, ^lat))\n      |> DB.Repo.one()\n\n    render(conn, data: aom)\n  end\n\n  @spec invalid_parameters(Plug.Conn.t()) :: Plug.Conn.t()\n  def invalid_parameters(conn),\n    do: render(conn, data: %{\"error\" => \"The parameters lon and lat are mandatory and must be floats\"})\n\n  @spec geojson_operation :: OpenApiSpex.Operation.t()\n  def geojson_operation,\n    do: %Operation{\n      tags: [\"aom\"],\n      summary: \"Show GeoJSON of all available AOMs (Autorités Organisatrices de la Mobilité)\",\n      operationId: \"API.AOMController.geojson_operation\",\n      parameters: [],\n      responses: %{\n        200 => Operation.response(\"GeoJSON\", \"application/json\", TransportWeb.API.Schemas.GeoJSONResponse)\n      }\n    }\n\n  @spec geojson(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def geojson(conn, _params) do\n    json =\n      DB.AOM\n      |> select([a], [map(a, @aom_fields), a.geom])\n      |> DB.Repo.all()\n      |> Enum.reject(fn [_, geom] -> is_nil(geom) end)\n      |> Enum.map(fn [properties, geom] ->\n        %{\n          \"type\" => \"Feature\",\n          \"properties\" => properties,\n          \"geometry\" => JSON.encode!(geom)\n        }\n      end)\n\n    render(conn, features: json)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/controllers/autocomplete_controller.ex",
    "content": "defmodule TransportWeb.API.AutocompleteController do\n  use TransportWeb, :controller\n  alias Helpers\n  alias OpenApiSpex.Operation\n  import Ecto.Query\n\n  @spec open_api_operation(any) :: Operation.t()\n  def open_api_operation(action), do: apply(__MODULE__, :\"#{action}_operation\", [])\n\n  @spec get_result_url(Plug.Conn.t(), DB.Autocomplete.t()) :: binary()\n  defp get_result_url(conn, %DB.Autocomplete{:place_id => id, :type => \"region\"}),\n    do: dataset_path(conn, :by_region, id)\n\n  defp get_result_url(conn, %DB.Autocomplete{:place_id => id, :type => \"departement\"}),\n    do: dataset_path(conn, :by_departement_insee, id)\n\n  defp get_result_url(conn, %DB.Autocomplete{:place_id => id, :type => \"epci\"}), do: dataset_path(conn, :by_epci, id)\n\n  defp get_result_url(conn, %DB.Autocomplete{:place_id => id, :type => \"commune\"}),\n    do: dataset_path(conn, :by_commune_insee, id)\n\n  defp get_result_url(conn, %DB.Autocomplete{:place_id => id, :type => \"feature\"}),\n    do: dataset_path(conn, :index, \"features[]\": id)\n\n  defp get_result_url(conn, %DB.Autocomplete{:place_id => id, :type => \"mode\"}),\n    do: dataset_path(conn, :index, \"modes[]\": id)\n\n  defp get_result_url(conn, %DB.Autocomplete{:place_id => id, :type => \"offer\"}), do: dataset_path(conn, :by_offer, id)\n\n  defp get_result_url(conn, %DB.Autocomplete{:place_id => format, :type => \"format\"}),\n    do: dataset_path(conn, :index, format: format)\n\n  defp get_result_url(conn, %DB.Autocomplete{:place_id => slug, :type => \"dataset\"}),\n    do: dataset_path(conn, :details, slug)\n\n  defp approx_search_query(query) do\n    DB.Autocomplete\n    |> order_by(desc: fragment(\"similarity(indexed_name, unaccent(?))\", ^query))\n    |> where([p], fragment(\"indexed_name % unaccent(?)\", ^query))\n    |> limit(10)\n    |> DB.Repo.all()\n  end\n\n  @spec autocomplete(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def autocomplete(%Plug.Conn{} = conn, params) do\n    query =\n      Map.get(params, \"q\", \"\")\n      # we replace '-' to ' ' because we also did this transformation for indexed_name\n      |> String.replace(\"-\", \" \")\n      # we replace ' ' to '%' to search for composite name to be easily searchable\n      # we can look for \"d'Urfé\" with either \"d'urfe\" or \"d urfe\",\n      # or \"ile de france\" with pattern like \"i d f\"\n      |> String.replace(\" \", \"%\")\n\n    query = \"%#{query}%\"\n\n    records =\n      DB.Autocomplete\n      |> where([p], fragment(\"indexed_name ilike unaccent(?)\", ^query))\n      |> order_by(asc: fragment(\"CASE type\n          when 'feature' then 1\n          when 'mode' then 2\n          when 'format' then 3\n          when 'offer' then 4\n          when 'region' then 5\n          when 'departement' then 6\n          when 'epci' then 7\n          when 'dataset' then 8\n          else 9 END\"))\n      |> order_by(desc: fragment(\"similarity(indexed_name, unaccent(?))\", ^query))\n      |> limit(10)\n      |> DB.Repo.all()\n      |> case do\n        [] -> approx_search_query(query)\n        r -> r\n      end\n\n    results =\n      Enum.map(records, fn res ->\n        name =\n          case res.type do\n            \"commune\" -> \"#{res.nom} (#{res.place_id})\"\n            _ -> res.nom\n          end\n\n        %{name: name, type: res.type, url: get_result_url(conn, res)}\n      end)\n\n    conn\n    |> assign(:data, results)\n    |> render()\n  end\n\n  @spec autocomplete_operation() :: Operation.t()\n  def autocomplete_operation do\n    %Operation{\n      tags: [\"datasets\"],\n      summary: \"Autocomplete search for datasets\",\n      description: \"Given a search input, return potentially corresponding results with the associated search URL\",\n      operationId: \"API.DatasetController.datasets_autocomplete\",\n      parameters: [Operation.parameter(:q, :query, :string, \"query\")],\n      responses: %{\n        200 => Operation.response(\"Dataset\", \"application/json\", TransportWeb.API.Schemas.AutocompleteResponse)\n      }\n    }\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/controllers/datasets_controller.ex",
    "content": "defmodule TransportWeb.API.DatasetController do\n  use TransportWeb, :controller\n  import Ecto.Query\n  alias DB.{Dataset, Repo, Resource}\n  alias Geo.{JSON, MultiPolygon}\n  alias Helpers\n  alias OpenApiSpex.Operation\n\n  plug(:log_request when action in [:datasets, :by_id])\n\n  # The default (one minute) felt a bit too high for someone doing scripted operations\n  # (have to wait during experimentations), so I lowered it a bit. It is high enough\n  # that it will still protect a lot against excessive querying.\n  @index_cache_ttl Transport.PreemptiveAPICache.cache_ttl()\n  @by_id_cache_ttl :timer.seconds(30)\n  @offers_columns [:nom_commercial, :identifiant_offre, :type_transport, :nom_aom]\n  @dataset_preload [\n    :resources,\n    :legal_owners_aom,\n    :legal_owners_region,\n    :declarative_spatial_areas,\n    offers: from(o in DB.Offer, select: ^@offers_columns),\n    dataset_subtypes: from(ds in DB.DatasetSubtype, select: [:slug]),\n    resources: [:dataset]\n  ]\n\n  @spec open_api_operation(any) :: Operation.t()\n  def open_api_operation(action), do: apply(__MODULE__, :\"#{action}_operation\", [])\n\n  @spec datasets_operation() :: Operation.t()\n  def datasets_operation,\n    do: %Operation{\n      tags: [\"datasets\"],\n      summary: \"List all datasets (with their resources)\",\n      description: ~s\"This call returns (in a single, non-paginated response) the list of all the\n                      datasets referenced on the site, along with their associated resources. The datasets\n                      and resources are here provided in summarized form (without history & conversions).\n                      You can call `/api/datasets/:id` for each dataset to get extra data (history & conversions)\",\n      operationId: \"API.DatasetController.datasets\",\n      parameters: authorization_header(),\n      responses: %{\n        200 => Operation.response(\"DatasetsResponse\", \"application/json\", TransportWeb.API.Schemas.DatasetsResponse)\n      }\n    }\n\n  defp authorization_header do\n    [\n      Operation.parameter(\n        :authorization,\n        :header,\n        :string,\n        \"Your token secret from your [reuser space](https://transport.data.gouv.fr/espace_reutilisateur).\"\n      )\n    ]\n  end\n\n  @spec datasets(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def datasets(%Plug.Conn{} = conn, _params) do\n    comp_fn = fn -> prepare_datasets_index_data() end\n\n    data =\n      Transport.Cache.fetch(\"api-datasets-index\", comp_fn, @index_cache_ttl)\n      |> Enum.map(&maybe_add_token_urls(&1, conn))\n\n    render(conn, %{data: data})\n  end\n\n  def add_enriched_resources_to_dataset(dataset, nil = _enriched_dataset), do: dataset\n\n  def add_enriched_resources_to_dataset(dataset, enriched_dataset) do\n    enriched_resources =\n      dataset.resources\n      |> Enum.map(fn r -> enriched_dataset |> Map.get(r.id, r) end)\n\n    Map.put(dataset, :resources, enriched_resources)\n  end\n\n  @spec by_id_operation() :: Operation.t()\n  def by_id_operation,\n    do: %Operation{\n      tags: [\"datasets\"],\n      summary: \"Return the details of a given dataset and its resources\",\n      description:\n        ~s\"Returns the detailed version of a dataset, showing its resources, the resources history & conversions.\",\n      operationId: \"API.DatasetController.datasets_by_id\",\n      parameters:\n        [Operation.parameter(:id, :path, :string, \"datagouv id of the dataset you want to retrieve\")] ++\n          authorization_header(),\n      responses: %{\n        200 => Operation.response(\"DatasetDetails\", \"application/json\", TransportWeb.API.Schemas.DatasetDetails)\n      }\n    }\n\n  @spec geojson_by_id_operation() :: Operation.t()\n  def geojson_by_id_operation,\n    do: %Operation{\n      tags: [\"datasets\"],\n      summary: \"Show given dataset GeoJSON\",\n      description: \"For one dataset, show its associated GeoJSON.\",\n      operationId: \"API.DatasetController.datasets_geojson_by_id\",\n      parameters: [Operation.parameter(:id, :path, :string, \"id\")],\n      responses: %{\n        200 => Operation.response(\"Dataset\", \"application/json\", TransportWeb.API.Schemas.GeoJSONResponse)\n      }\n    }\n\n  @spec by_id(Plug.Conn.t(), map) :: Plug.Conn.t()\n  def by_id(%Plug.Conn{} = conn, %{\"id\" => datagouv_id}) do\n    dataset =\n      Dataset\n      |> Dataset.reject_experimental_datasets()\n      |> preload(^@dataset_preload)\n      |> Repo.get_by(datagouv_id: datagouv_id)\n\n    if is_nil(dataset) do\n      conn |> put_status(404) |> render(%{errors: \"dataset not found\"})\n    else\n      comp_fn = fn -> prepare_dataset_detail_data(dataset) end\n\n      data =\n        Transport.Cache.fetch(\"api-datasets-#{datagouv_id}\", comp_fn, @by_id_cache_ttl)\n        |> maybe_add_token_urls(conn)\n\n      conn |> assign(:data, data) |> render()\n    end\n  end\n\n  @spec geojson_by_id(Plug.Conn.t(), map) :: Plug.Conn.t()\n  def geojson_by_id(%Plug.Conn{} = conn, %{\"id\" => id}) do\n    Dataset\n    |> Dataset.reject_experimental_datasets()\n    |> Repo.get_by(datagouv_id: id)\n    |> Repo.preload(declarative_spatial_areas: from(p in DB.AdministrativeDivision, select: [:nom, :type, :geom]))\n    |> case do\n      %Dataset{} = dataset ->\n        data =\n          dataset.declarative_spatial_areas\n          |> DB.AdministrativeDivision.sorted()\n          |> Enum.map(&to_feature(&1.geom, &1.nom))\n          |> keep_valid_features()\n\n        conn\n        |> assign(:data, to_geojson(dataset, data))\n        |> render()\n\n      nil ->\n        conn\n        |> put_status(404)\n        |> render(%{errors: \"dataset not found\"})\n    end\n  end\n\n  @spec keep_valid_features([{:ok, %{}} | :error]) :: [%{}]\n  defp keep_valid_features(list) do\n    list\n    |> Enum.filter(fn f ->\n      case f do\n        {:ok, _g} -> true\n        _ -> false\n      end\n    end)\n    |> Enum.map(fn {:ok, g} -> g end)\n  end\n\n  @spec to_feature(MultiPolygon.t(), binary) :: {:ok, %{}} | :error\n  defp to_feature(geom, name) do\n    case JSON.encode(geom) do\n      {:ok, g} -> {:ok, %{\"geometry\" => g, \"type\" => \"Feature\", \"properties\" => %{\"name\" => name}}}\n      _ -> :error\n    end\n  end\n\n  @spec to_geojson(Dataset.t(), [map()]) :: map()\n  defp to_geojson(dataset, features),\n    do: %{\n      \"type\" => \"FeatureCollection\",\n      \"name\" => \"Dataset #{dataset.slug}\",\n      \"features\" => features\n    }\n\n  @spec transform_dataset(Dataset.t() | map()) :: map()\n  defp transform_dataset(%Dataset{} = dataset),\n    do: %{\n      \"datagouv_id\" => dataset.datagouv_id,\n      # to help discoverability, we explicitly add the datagouv_id as the id\n      # (since it's used in /dataset/:id)\n      \"id\" => dataset.datagouv_id,\n      \"title\" => dataset.custom_title,\n      \"created_at\" => dataset.created_at |> DateTime.to_date() |> Date.to_string(),\n      \"page_url\" => TransportWeb.Router.Helpers.dataset_url(TransportWeb.Endpoint, :details, dataset.slug),\n      \"slug\" => dataset.slug,\n      \"updated\" => Helpers.last_updated(Dataset.official_resources(dataset)),\n      \"resources\" => Enum.map(dataset.resources, &transform_resource/1),\n      \"community_resources\" => Enum.map(Dataset.community_resources(dataset), &transform_resource/1),\n      \"covered_area\" => covered_area(dataset),\n      \"legal_owners\" => legal_owners(dataset),\n      \"type\" => dataset.type,\n      \"sub_types\" => Enum.map(dataset.dataset_subtypes, & &1.slug),\n      \"licence\" => dataset.licence,\n      \"publisher\" => get_publisher(dataset),\n      \"tags\" => dataset.custom_tags,\n      \"offers\" => offers(dataset)\n    }\n\n  @spec get_publisher(Dataset.t()) :: map()\n  defp get_publisher(dataset),\n    do: %{\n      \"name\" => dataset.organization,\n      \"id\" => dataset.organization_id,\n      \"type\" => \"organization\"\n    }\n\n  @spec transform_dataset_with_detail(Dataset.t() | map()) :: map()\n  defp transform_dataset_with_detail(%Dataset{} = dataset) do\n    dataset\n    |> transform_dataset()\n    |> add_conversions(dataset)\n    |> Map.put(\n      \"history\",\n      Transport.History.Fetcher.history_resources(dataset,\n        max_records: TransportWeb.DatasetView.max_nb_history_resources(),\n        # see https://github.com/etalab/transport-site/issues/3324, not needed currently\n        # in the API output\n        preload_validations: false\n      )\n    )\n  end\n\n  # NOTE: only added in detailed dataset view\n  defp add_conversions(%{\"resources\" => resources} = data, %Dataset{} = dataset) do\n    conversions =\n      dataset\n      |> Dataset.get_resources_related_files()\n      |> Enum.into(%{}, fn {resource_id, data} ->\n        {resource_id,\n         data\n         |> Enum.reject(fn {_format, v} -> is_nil(v) end)\n         |> Enum.into(%{}, fn {format, data} ->\n           payload = %{\n             filesize: Map.fetch!(data, :filesize),\n             last_check_conversion_is_up_to_date: Map.fetch!(data, :resource_history_last_up_to_date_at),\n             stable_url: Map.fetch!(data, :stable_url)\n           }\n\n           {format, payload}\n         end)}\n      end)\n\n    Map.put(\n      data,\n      \"resources\",\n      Enum.map(resources, fn %{\"id\" => resource_id} = resource ->\n        Map.put(resource, \"conversions\", Map.fetch!(conversions, resource_id))\n      end)\n    )\n  end\n\n  defp get_metadata(%Resource{format: format, resource_history: resource_history}) when format in [\"GTFS\", \"NeTEx\"] do\n    resource_history\n    |> Enum.at(0)\n    |> Map.get(:validations)\n    |> Enum.at(0)\n    |> Map.get(:metadata)\n  rescue\n    _ -> nil\n  end\n\n  defp get_metadata(%Resource{format: \"gtfs-rt\", resource_metadata: resource_metadata}) do\n    features =\n      resource_metadata\n      |> Enum.map(& &1.features)\n      |> Enum.concat()\n      |> Enum.uniq()\n\n    %{features: features}\n  rescue\n    _ -> nil\n  end\n\n  defp get_metadata(_), do: nil\n\n  @spec transform_resource(Resource.t()) :: map()\n  defp transform_resource(resource) do\n    metadata = get_metadata(resource)\n\n    metadata_content =\n      case metadata do\n        %{metadata: metadata_content} -> metadata_content\n        _ -> nil\n      end\n\n    latest_url =\n      if use_download_url?(resource) do\n        DB.Resource.download_url(resource)\n      else\n        resource.latest_url\n      end\n\n    %{\n      \"page_url\" => TransportWeb.Router.Helpers.resource_url(TransportWeb.Endpoint, :details, resource.id),\n      \"id\" => resource.id,\n      \"datagouv_id\" => resource.datagouv_id,\n      \"title\" => resource.title,\n      \"updated\" => resource.last_update |> DateTime.to_iso8601(),\n      \"is_available\" => resource.is_available,\n      \"url\" => latest_url,\n      \"original_url\" => resource.url,\n      \"end_calendar_validity\" => metadata_content && Map.get(metadata, \"end_date\"),\n      \"start_calendar_validity\" => metadata_content && Map.get(metadata, \"start_date\"),\n      \"type\" => resource.type,\n      \"format\" => resource.format,\n      \"community_resource_publisher\" => resource.community_resource_publisher,\n      \"metadata\" => metadata_content,\n      \"original_resource_url\" => resource.original_resource_url,\n      \"filesize\" => resource.filesize,\n      \"modes\" => metadata && Map.get(metadata, :modes),\n      \"features\" => metadata && Map.get(metadata, :features),\n      \"schema_name\" => resource.schema_name,\n      \"schema_version\" => resource.schema_version\n    }\n    |> Enum.filter(fn {_, v} -> !is_nil(v) end)\n    |> Enum.into(%{})\n  end\n\n  defp use_download_url?(%DB.Resource{} = resource) do\n    DB.Resource.pan_resource?(resource) or DB.Resource.served_by_proxy?(resource) or\n      (DB.Dataset.has_custom_tag?(resource.dataset, \"authentification_experimentation\") and\n         not DB.Resource.real_time?(resource))\n  end\n\n  @spec covered_area(DB.Dataset.t()) :: [map()]\n  def covered_area(%DB.Dataset{declarative_spatial_areas: declarative_spatial_areas}) do\n    declarative_spatial_areas\n    |> DB.AdministrativeDivision.sorted()\n    |> Enum.map(&Map.take(&1, [:type, :insee, :nom]))\n  end\n\n  defp legal_owners(dataset) do\n    legal_owners_aom(dataset.legal_owners_aom) ++\n      legal_owners_region(dataset.legal_owners_region) ++ legal_owners_company(dataset)\n  end\n\n  defp legal_owners_aom(aoms) do\n    Enum.map(aoms, fn aom -> %{\"name\" => aom.nom, \"siren\" => aom.siren, \"type\" => \"aom\"} end)\n  end\n\n  defp legal_owners_region(regions) do\n    Enum.map(regions, fn region -> %{\"name\" => region.nom, \"insee\" => region.insee, \"type\" => \"region\"} end)\n  end\n\n  def legal_owners_company(%{legal_owner_company_siren: nil}), do: []\n\n  def legal_owners_company(%{legal_owner_company_siren: legal_owner_company_siren}) do\n    [\n      %{\"id\" => nil, \"siren\" => legal_owner_company_siren, \"type\" => \"company\"}\n    ]\n  end\n\n  def offers(%DB.Dataset{} = dataset) do\n    Enum.map(dataset.offers, &Map.take(&1, @offers_columns))\n  end\n\n  def prepare_datasets_index_data do\n    # NOTE: week-end patch ; putting a heavy timeout to temporarily\n    # work-around https://github.com/etalab/transport-site/issues/4598\n    # which causes the whole API & backoffice to crash for hours.\n    # On the next weekday, this query must be optimized :-)\n    datasets_with_gtfs_or_netex_metadata =\n      DB.Dataset.base_query()\n      |> DB.Dataset.join_from_dataset_to_metadata(\n        Enum.map(Transport.ValidatorsSelection.validators_for_feature(:api_datasets_controller), & &1.validator_name())\n      )\n      |> preload([resource: r, resource_history: rh, multi_validation: mv, metadata: m, dataset: d],\n        resources: {r, dataset: d, resource_history: {rh, validations: {mv, metadata: m}}}\n      )\n      |> Repo.all(timeout: 40_000)\n\n    recent_limit = Transport.Jobs.GTFSRTMetadataJob.datetime_limit()\n\n    datasets_with_gtfs_rt_metadata =\n      DB.Dataset.base_query()\n      |> DB.Resource.join_dataset_with_resource()\n      |> DB.ResourceMetadata.join_resource_with_metadata()\n      |> where([resource: r], r.format == \"gtfs-rt\")\n      |> where([metadata: rm], rm.inserted_at > ^recent_limit)\n      |> preload([resource: r, metadata: m, dataset: d], resources: {r, dataset: d, resource_metadata: m})\n      |> DB.Repo.all()\n\n    datasets_with_metadata =\n      datasets_with_gtfs_or_netex_metadata\n      |> Kernel.++(datasets_with_gtfs_rt_metadata)\n      |> Enum.group_by(& &1.id, & &1.resources)\n      |> Enum.map(fn {dataset_id, resources} -> {dataset_id, List.flatten(resources)} end)\n      |> Enum.into(%{})\n\n    existing_ids =\n      datasets_with_metadata\n      |> Enum.map(fn {dataset_id, resources} ->\n        {dataset_id,\n         resources\n         |> Enum.map(fn resource -> {resource.id, resource} end)\n         |> Enum.into(%{})}\n      end)\n      |> Enum.into(%{})\n\n    %{}\n    |> Dataset.list_datasets()\n    |> Dataset.reject_experimental_datasets()\n    |> preload(^@dataset_preload)\n    |> Repo.all()\n    |> Enum.map(fn dataset ->\n      enriched_dataset = Map.get(existing_ids, dataset.id)\n      add_enriched_resources_to_dataset(dataset, enriched_dataset)\n    end)\n    |> Enum.map(&transform_dataset(&1))\n  end\n\n  defp prepare_dataset_detail_data(%DB.Dataset{} = dataset) do\n    gtfs_or_netex_resources_with_metadata =\n      DB.Resource.base_query()\n      |> DB.ResourceHistory.join_resource_with_latest_resource_history()\n      |> DB.MultiValidation.join_resource_history_with_latest_validation(\n        Enum.map(Transport.ValidatorsSelection.validators_for_feature(:api_datasets_controller), & &1.validator_name())\n      )\n      |> DB.ResourceMetadata.join_validation_with_metadata()\n      |> preload([resource_history: rh, multi_validation: mv, metadata: m],\n        resource_history: {rh, validations: {mv, metadata: m}}\n      )\n      |> preload(:dataset)\n      |> where([resource: r], r.dataset_id == ^dataset.id)\n      |> select([resource: r], {r.id, r})\n      |> DB.Repo.all()\n\n    recent_limit = Transport.Jobs.GTFSRTMetadataJob.datetime_limit()\n\n    gtfs_rt_resources_with_metadata =\n      DB.Resource.base_query()\n      |> DB.ResourceMetadata.join_resource_with_metadata()\n      |> where([metadata: rm], rm.inserted_at > ^recent_limit)\n      |> where([resource: r], r.dataset_id == ^dataset.id)\n      |> preload([metadata: m], resource_metadata: m)\n      |> preload(:dataset)\n      |> select([resource: r], {r.id, r})\n      |> DB.Repo.all()\n\n    resources_with_metadata = Enum.into(gtfs_or_netex_resources_with_metadata ++ gtfs_rt_resources_with_metadata, %{})\n\n    enriched_resources =\n      dataset\n      |> Dataset.official_resources()\n      |> Enum.map(fn r -> resources_with_metadata |> Map.get(r.id, r) end)\n\n    dataset = dataset |> Map.put(:resources, enriched_resources)\n\n    transform_dataset_with_detail(dataset)\n  end\n\n  defp log_request(%Plug.Conn{} = conn, _options) do\n    controller = conn |> Phoenix.Controller.controller_module() |> to_string() |> String.trim_leading(\"Elixir.\")\n\n    token_id =\n      case conn.assigns[:token] do\n        %DB.Token{} = token -> token.id\n        nil -> nil\n      end\n\n    Ecto.Changeset.change(%DB.APIRequest{}, %{\n      time: DateTime.utc_now(),\n      token_id: token_id,\n      method: \"#{controller}##{Phoenix.Controller.action_name(conn)}\",\n      path: conn.request_path\n    })\n    |> DB.Repo.insert!()\n\n    conn\n  end\n\n  # Add a token to the `latest_url` for resources:\n  # - published by the NAP organization.\n  # - served by the NAP proxy.\n  # - when the dataset has an experimentation tag.\n  #\n  # This is done at this stage to still be able to cache responses:\n  # - an anonymous HTTP request will be served the cache\n  # - an authenticated HTTP request with a token will get download URLs\n  #   with the passed token\n  defp maybe_add_token_urls(\n         %{\"resources\" => resources} = dataset,\n         %Plug.Conn{assigns: %{token: %DB.Token{secret: secret}}}\n       ) do\n    resources =\n      Enum.map(resources, fn %{\"url\" => url} = resource ->\n        is_download_url =\n          url == TransportWeb.Router.Helpers.resource_url(TransportWeb.Endpoint, :download, resource[\"id\"])\n\n        if is_download_url or DB.Resource.served_by_proxy?(resource) do\n          Map.put(resource, \"url\", url <> \"?token=#{secret}\")\n        else\n          resource\n        end\n      end)\n\n    Map.put(dataset, \"resources\", resources)\n  end\n\n  defp maybe_add_token_urls(dataset, _conn), do: dataset\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/controllers/features_controller.ex",
    "content": "defmodule TransportWeb.API.FeaturesController do\n  use TransportWeb, :controller\n\n  def autocomplete(%Plug.Conn{} = conn, %{\"contact_id\" => contact_id, \"name\" => _, \"type\" => _} = payload) do\n    contact_id =\n      if is_integer(contact_id) do\n        contact_id\n      else\n        nil\n      end\n\n    DB.FeatureUsage.insert!(\n      :autocomplete,\n      contact_id,\n      payload |> Map.reject(fn {k, _} -> k == \"contact_id\" end)\n    )\n\n    conn |> json(%{status: :ok})\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/controllers/geo_query_controller.ex",
    "content": "defmodule TransportWeb.API.GeoQueryController do\n  use TransportWeb, :controller\n  import Ecto.Query\n\n  @possible_slugs Ecto.Enum.dump_values(DB.GeoDataImport, :slug)\n\n  def index(%Plug.Conn{} = conn, %{\"data\" => slug}) when slug in @possible_slugs do\n    case DB.Repo.get_by(DB.GeoDataImport, slug: slug) do\n      nil ->\n        render_404(conn)\n\n      %DB.GeoDataImport{} = geo_data_import ->\n        get_geojson = fn -> transform_geojson(geo_data_import, String.to_existing_atom(slug)) end\n        geojson = Transport.Cache.fetch(\"#{slug}_data\", get_geojson, :timer.hours(1))\n        conn |> json(geojson)\n    end\n  end\n\n  def index(%Plug.Conn{} = conn, _), do: render_404(conn)\n\n  def render_404(%Plug.Conn{} = conn), do: conn |> put_status(404) |> json(%{\"message\" => \"Not found\"})\n\n  def transform_geojson(%DB.GeoDataImport{} = geo_data_import, :bnlc) do\n    add_fields = fn query -> from(g in query, select_merge: %{nom_lieu: fragment(\"payload->>'nom_lieu'\")}) end\n    DB.GeoData.geo_data_as_geojson(geo_data_import, add_fields)\n  end\n\n  def transform_geojson(%DB.GeoDataImport{} = geo_data_import, :zfe) do\n    add_fields = fn query -> query end\n\n    DB.GeoData.geo_data_as_geojson(geo_data_import, add_fields)\n  end\n\n  def transform_geojson(%DB.GeoDataImport{} = geo_data_import, :irve) do\n    add_fields = fn query ->\n      from(g in query,\n        select_merge: %{\n          nom_enseigne: fragment(\"payload->>'nom_enseigne'\"),\n          id_station_itinerance: fragment(\"payload->>'id_station_itinerance'\"),\n          nom_station: fragment(\"payload->>'nom_station'\"),\n          nbre_pdc: fragment(\"payload->>'nbre_pdc'\")\n        }\n      )\n    end\n\n    DB.GeoData.geo_data_as_geojson(geo_data_import, add_fields)\n  end\n\n  def transform_geojson(%DB.GeoDataImport{} = geo_data_import, :gbfs_stations) do\n    add_fields = fn query ->\n      from(g in query,\n        select_merge: %{capacity: fragment(\"payload->>'capacity'\"), name: fragment(\"payload->>'name'\")}\n      )\n    end\n\n    DB.GeoData.geo_data_as_geojson(geo_data_import, add_fields)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/controllers/gtfs_stops_controller.ex",
    "content": "defmodule TransportWeb.API.GTFSStopsController do\n  use TransportWeb, :controller\n  alias OpenApiSpex.Operation\n\n  @max_points 20_000\n  # NOTE: summary cannot include formatting apparently.\n  # DRYing this here for now, until more are published.\n  @experimental_summary \"(experimental)\"\n  @experimental_description \"**This API point is experimental with no guarantee of stability or continuity, use at your own risk.**\"\n\n  @spec open_api_operation(any) :: Operation.t()\n  def open_api_operation(action), do: apply(__MODULE__, :\"#{action}_operation\", [])\n\n  @moduledoc \"\"\"\n  This module is used both as a standalone API endpoint or for the map at /explore/gtfs-stops.\n  There is a single index entry function, that accepts either :\n  - API use: only the bounding box coordinates\n  - Map use: bounding box coordinates + map parameters (width, height, zoom level).\n\n  The behaviour is slightly different depending on the use case.\n  - API use:\n   - if the bounding box contains too many points, the API returns an error.\n   - otherwise, it returns the detailed data as a GeoJSON FeatureCollection.\n  - Map use:\n   - if the bounding box contains too many points or the zoom level is not high enough, the API returns the clustered data.\n   - otherwise, it returns the detailed data as a GeoJSON FeatureCollection.\n\n   The OpenAPI documentation only refers to the API use case, the map use case is not documented.\n  \"\"\"\n\n  @spec index_operation :: OpenApiSpex.Operation.t()\n  def index_operation,\n    do: %Operation{\n      tags: [\"gtfs\"],\n      summary:\n        \"#{@experimental_summary} Lists stops from all GTFS files of transport.data.gouv.fr found inside a bounding box.\",\n      description:\n        ~s\"#{@experimental_description}\n                      This call returns the GTFS stops from all the datasets of transport.data.gouv.fr as a GeoJSON FeatureCollection.\n                      found inside the provided bounding box, up to #{@max_points} points (above that threshold, an error will be returned). The dataset ID is present in the answer amongst other data.\n                      This endpoint (with some slight differences) is used to power the map at https://transport.data.gouv.fr/explore/gtfs-stops.\n                      You can download a static version of the data at https://transport.data.gouv.fr/datasets/arrets-de-transport-en-france.\",\n      operationId: \"API.GTFSStopsController.index\",\n      parameters: [\n        Operation.parameter(:south, :query, :number, \"South (latitude)\"),\n        Operation.parameter(:north, :query, :number, \"North (latitude)\"),\n        Operation.parameter(:west, :query, :number, \"West (longitude)\"),\n        Operation.parameter(:east, :query, :number, \"East (longitude)\")\n      ],\n      responses: %{\n        200 => Operation.response(\"GeoJSON\", \"application/json\", TransportWeb.API.Schemas.GeoJSONResponse),\n        422 => Operation.response(\"ErrorJSON\", \"application/json\", TransportWeb.API.Schemas.ErrorJSONResponse)\n      }\n    }\n\n  def index(\n        conn,\n        params\n      ) do\n    parsed_params = parse_params(params)\n\n    cond do\n      parsed_params[:incorrect_params] ->\n        conn\n        |> put_status(422)\n        |> json(%{error: \"incorrect parameters\"})\n\n      parsed_params[:count] < @max_points &&\n          (parsed_params[:zoom_level] >= 10 || parsed_params[:only_coordinate_params]) ->\n        # If we’re on the map with a zoom high enough, or if we’re on the API endpoint with a small count\n        # we return the GTFS detailed data\n        mode = if parsed_params[:only_coordinate_params], do: :api_mode, else: :map_mode\n\n        conn\n        |> json(\n          Transport.GTFSData.build_detailed(\n            {parsed_params[:north], parsed_params[:south], parsed_params[:east], parsed_params[:west]},\n            mode: mode\n          )\n        )\n\n      parsed_params[:map_params] ->\n        # Else, for the map, we return the clustered data\n        data =\n          Transport.GTFSData.build_clusters_json_encoded(\n            {parsed_params[:north], parsed_params[:south], parsed_params[:east], parsed_params[:west]},\n            {parsed_params[:snap_x], parsed_params[:snap_y]}\n          )\n\n        # We mark the output with a \"type\" key to make sure the data is interpreted correctly\n        # on the client side.\n        conn\n        |> put_resp_content_type(\"application/json\")\n        |> json(%{type: \"clustered\", data: Jason.Fragment.new(data)})\n\n      parsed_params[:only_coordinate_params] ->\n        # In API mode, the bounding box may be too large\n        conn\n        |> put_status(422)\n        |> json(%{error: \"bounding box too large: too many points\"})\n    end\n  end\n\n  defp parse_coordinate_params(%{\"south\" => south, \"east\" => east, \"west\" => west, \"north\" => north}) do\n    with {south, \"\"} <- Float.parse(south),\n         {east, \"\"} <- Float.parse(east),\n         {west, \"\"} <- Float.parse(west),\n         {north, \"\"} <- Float.parse(north) do\n      {:ok, {south, east, west, north}}\n    else\n      :error ->\n        :incorrect_params\n    end\n  end\n\n  defp parse_coordinate_params(_params), do: :no_coordinate_params\n\n  defp parse_map_params(%{\"width_pixels\" => width, \"height_pixels\" => height, \"zoom_level\" => zoom_level}) do\n    with {width_px, \"\"} <- Float.parse(width),\n         {height_px, \"\"} <- Float.parse(height),\n         {zoom_level, \"\"} <- Integer.parse(zoom_level) do\n      {:ok, {width_px, height_px, zoom_level}}\n    else\n      :error ->\n        :incorrect_params\n    end\n  end\n\n  defp parse_map_params(_params), do: :no_map_params\n\n  defp parse_params(params) do\n    case parse_coordinate_params(params) do\n      {:ok, {south, east, west, north}} ->\n        count = Transport.GTFSData.count_points({north, south, east, west})\n        result = %{south: south, east: east, west: west, north: north, count: count}\n\n        case parse_map_params(params) do\n          {:ok, {width_px, height_px, zoom_level}} ->\n            snap_x = abs((west - east) / (width_px / 5.0))\n            snap_y = abs((north - south) / (height_px / 5.0))\n            Map.merge(result, %{map_params: true, snap_x: snap_x, snap_y: snap_y, zoom_level: zoom_level})\n\n          :no_map_params ->\n            Map.put(result, :only_coordinate_params, true)\n\n          :incorrect_params ->\n            %{incorrect_params: true}\n        end\n\n      _ ->\n        %{incorrect_params: true}\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/controllers/stats_controller.ex",
    "content": "defmodule TransportWeb.API.StatsController do\n  use TransportWeb, :controller\n  import Ecto.Query\n  alias Geo.JSON\n  alias OpenApiSpex.Operation\n\n  @spec open_api_operation(any) :: Operation.t()\n  def open_api_operation(action), do: apply(__MODULE__, :\"#{action}_operation\", [])\n\n  @spec index_operation() :: Operation.t()\n  def index_operation,\n    do: %Operation{\n      tags: [\"stats\"],\n      summary: \"Show regions\",\n      description: \"Show covered french administrative regions\",\n      operationId: \"API.StatsController.index\",\n      parameters: [],\n      responses: %{\n        200 => Operation.response(\"GeoJSON\", \"application/json\", TransportWeb.API.Schemas.GeoJSONResponse)\n      }\n    }\n\n  @spec vehicles_sharing_operation() :: Operation.t()\n  def vehicles_sharing_operation,\n    do: %Operation{\n      tags: [\"stats\"],\n      summary: \"Show vehicles sharing stats\",\n      description: \"Show vehicles sharing stats\",\n      operationId: \"API.StatsController.vehicles_sharing\",\n      parameters: [],\n      responses: %{\n        200 => Operation.response(\"GeoJSON\", \"application/json\", TransportWeb.API.Schemas.GeoJSONResponse)\n      }\n    }\n\n  @spec quality_operation() :: Operation.t()\n  def quality_operation,\n    do: %Operation{\n      tags: [\"stats\"],\n      summary: \"Show data quality stats\",\n      description: \"Show data quality stats\",\n      operationId: \"API.StatsController.quality\",\n      parameters: [],\n      responses: %{\n        200 => Operation.response(\"GeoJSON\", \"application/json\", TransportWeb.API.Schemas.GeoJSONResponse)\n      }\n    }\n\n  @spec geojson([map()]) :: map()\n  def geojson(features),\n    do: %{\n      \"type\" => \"FeatureCollection\",\n      # This is now completely incorrect!\n      \"name\" => \"Autorités organisatrices de Mobiltés\",\n      \"features\" => features\n    }\n\n  @spec filter_neg(nil | integer()) :: nil | non_neg_integer()\n  defp filter_neg(nil), do: nil\n  defp filter_neg(val) when val < 0, do: nil\n  defp filter_neg(val) when val >= 0, do: val\n\n  @spec features([map()]) :: [map()]\n  def features(result) do\n    result\n    |> Enum.map(fn aom ->\n      %{\n        \"geometry\" => aom.geometry |> JSON.encode!(),\n        \"type\" => \"Feature\",\n        \"properties\" => %{\n          \"nom\" => Map.get(aom, :nom, \"\"),\n          \"insee\" => Map.get(aom, :insee),\n          \"quality\" => %{\n            \"expired_from\" => %{\n              # negative values are up to date datasets, we filter them\n              \"nb_days\" => aom |> Map.get(:quality, %{}) |> Map.get(:expired_from) |> filter_neg,\n              \"status\" =>\n                case aom |> Map.get(:quality, %{}) |> Map.get(:expired_from) do\n                  # if no validity period has been found, it's either that there was no data\n                  # or that we were not able to read them\n                  nil -> \"no_data\"\n                  i when i > 0 -> \"outdated\"\n                  _ -> \"up_to_date\"\n                end\n            },\n            \"error_level\" => aom |> Map.get(:quality, %{}) |> Map.get(:error_level)\n          }\n        }\n      }\n    end)\n    |> Enum.to_list()\n  end\n\n  @spec vehicles_sharing_features([map()]) :: [map()]\n  def vehicles_sharing_features(result) do\n    result\n    |> Enum.reject(fn r -> is_nil(r.geometry) end)\n    |> Enum.map(fn r ->\n      %{\n        \"geometry\" => r.geometry |> JSON.encode!(),\n        \"type\" => \"Feature\",\n        \"properties\" => Map.take(r, Enum.filter(Map.keys(r), fn k -> to_string(k) != \"geometry\" end))\n      }\n    end)\n  end\n\n  @spec index(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def index(%Plug.Conn{} = conn, _params), do: render_features(conn, :aoms, \"api-stats-aoms\")\n\n  @spec vehicles_sharing(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def vehicles_sharing(%Plug.Conn{} = conn, _params),\n    do: render_features(conn, :vehicles_sharing)\n\n  @spec quality(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def quality(%Plug.Conn{} = conn, _params), do: render_features(conn, :quality, \"api-stats-quality\")\n\n  #\n  # (not using @doc because this is a private method and it would then generate a warning ;\n  # this is a sign the whole computation should move to a separate module when we can!)\n  #\n  # This method is the central computation point for GeoJSON features.\n  #\n  # Because the passed `query` can be costly to compute, this method supports optional\n  # caching via `Transport.Cache` (enabled only if a `cache_key` is provided).\n  #\n  # Since the data structures are rich (many key/values), the computation result is cached\n  # *after* encoding it to JSON, which is many time (100x during our tests) faster than\n  # storing the original data structure in cache then re-encoding at each request.\n  #\n  # Because `render` does not support passing a rendered JSON (as binary) today, and to avoid\n  # resorting to `send_resp` directly, we leverage `Transport.Shared.ConditionalJSONEncoder` to\n  # skip JSON encoding, signaling the need to do so via a {:skip_json_encoding, data} tuple.\n  #\n  @spec render_features(Plug.Conn.t(), atom(), binary()) :: Plug.Conn.t()\n  defp render_features(conn, item, cache_key) do\n    data =\n      Transport.Cache.fetch(cache_key, fn -> rendered_geojson(item) end, Transport.PreemptiveStatsCache.cache_ttl())\n\n    render(conn, data: {:skip_json_encoding, data})\n  end\n\n  @spec render_features(Plug.Conn.t(), atom()) :: Plug.Conn.t()\n  defp render_features(conn, item) do\n    data = rendered_geojson(item)\n    render(conn, data: {:skip_json_encoding, data})\n  end\n\n  def rendered_geojson(item, ecto_opts \\\\ [])\n\n  def rendered_geojson(:quality, ecto_opts) do\n    quality_features_query()\n    |> DB.Repo.all(ecto_opts)\n    |> features()\n    |> geojson()\n    |> Jason.encode!()\n  end\n\n  def rendered_geojson(:aoms, ecto_opts) do\n    aom_features_query()\n    |> DB.Repo.all(ecto_opts)\n    |> vehicles_sharing_features()\n    |> geojson()\n    |> Jason.encode!()\n  end\n\n  def rendered_geojson(:vehicles_sharing, ecto_opts) do\n    vehicles_sharing_features_query()\n    |> DB.Repo.all(ecto_opts)\n    |> vehicles_sharing_features()\n    |> geojson()\n    |> Jason.encode!()\n  end\n\n  @spec aom_features_query :: Ecto.Query.t()\n  defp aom_features_query do\n    DB.DatasetGeographicView\n    |> join(:inner, [gv], dataset in DB.Dataset, on: dataset.id == gv.dataset_id, as: :dataset)\n    |> join(:inner, [dataset: d], a in assoc(d, :declarative_spatial_areas), as: :administrative_division)\n    |> join(:inner, [dataset: d], r in assoc(d, :resources), as: :resource)\n    |> select([gv, dataset, administrative_division: ad, resource: r], %{\n      geometry: gv.geom,\n      nb: count(gv.dataset_id, :distinct),\n      nom: fragment(\"string_agg(distinct ?, ', ')\", ad.nom),\n      insee: min(ad.insee),\n      gtfs: fragment(\"sum(case when ? = 'GTFS' then 1 else 0 end)\", r.format),\n      netex: fragment(\"sum(case when ? = 'NeTEx' then 1 else 0 end)\", r.format),\n      gtfs_rt: fragment(\"sum(case when ? = 'gtfs-rt' then 1 else 0 end)\", r.format),\n      siri: fragment(\"sum(case when ? = 'SIRI' then 1 else 0 end)\", r.format),\n      siri_lite: fragment(\"sum(case when ? = 'SIRI Lite' then 1 else 0 end)\", r.format)\n    })\n    |> where(\n      [_gv, dataset],\n      dataset.type == \"public-transit\" and dataset.is_active and dataset.id in subquery(relevant_coverage_datasets())\n    )\n    |> group_by([gv], gv.geom)\n  end\n\n  @spec vehicles_sharing_features_query :: Ecto.Query.t()\n  def vehicles_sharing_features_query do\n    DB.DatasetGeographicView\n    |> join(:left, [gv], dataset in DB.Dataset, on: dataset.id == gv.dataset_id)\n    |> select([gv, dataset], %{\n      geometry: fragment(\"geom as geometry\"),\n      names: fragment(\"array_agg(? order by ? asc)\", dataset.custom_title, dataset.custom_title),\n      slugs: fragment(\"array_agg(? order by ? asc)\", dataset.slug, dataset.custom_title)\n    })\n    |> where(\n      [_gv, dataset],\n      dataset.type == \"vehicles-sharing\" and dataset.is_active and dataset.id in subquery(relevant_coverage_datasets())\n    )\n    |> group_by(fragment(\"geometry\"))\n  end\n\n  @spec quality_features_query :: Ecto.Query.t()\n  def quality_features_query do\n    dt = Date.utc_today() |> Date.to_iso8601()\n\n    error_info_sub = dataset_error_levels()\n    expired_info_sub = dataset_expiration_dates()\n\n    DB.DatasetGeographicView\n    |> join(:inner, [gv], dataset in DB.Dataset, on: dataset.id == gv.dataset_id, as: :dataset)\n    |> join(:inner, [dataset: d], a in assoc(d, :declarative_spatial_areas), as: :administrative_division)\n    |> join(:left, [dataset: d], error_info in subquery(error_info_sub),\n      on: error_info.dataset_id == d.id,\n      as: :error_info\n    )\n    |> join(:left, [dataset: d], expired_info in subquery(expired_info_sub),\n      on: expired_info.dataset_id == d.id,\n      as: :expired_info\n    )\n    |> where(\n      [dataset: d],\n      d.type == \"public-transit\" and d.is_active and d.id in subquery(relevant_coverage_datasets())\n    )\n    |> select(\n      [gv, administrative_division: ad, error_info: error_info, expired_info: expired_info],\n      %{\n        geometry: gv.geom,\n        insee: min(ad.insee),\n        nom: fragment(\"string_agg(distinct ?, ', ')\", ad.nom),\n        quality: %{\n          expired_from: fragment(\"TO_DATE(?, 'YYYY-MM-DD') - max(?)\", ^dt, expired_info.end_date),\n          error_level: fragment(\"case max(CASE lower(max_error::text)\n              WHEN 'fatal' THEN 1\n              WHEN 'error' THEN 2\n              WHEN 'warning' THEN 3\n              WHEN 'information' THEN 4\n              WHEN 'noerror' THEN 5\n              END)\n            WHEN 1 THEN 'Fatal'\n            WHEN 2 THEN 'Error'\n            WHEN 3 THEN 'Warning'\n            WHEN 4 THEN 'Information'\n            WHEN 5 THEN 'NoError'\n          END\n          \")\n        }\n      }\n    )\n    |> group_by([gv], gv.geom)\n  end\n\n  def dataset_expiration_dates do\n    DB.Dataset.base_query()\n    |> DB.Dataset.join_from_dataset_to_metadata(\n      Enum.map(Transport.ValidatorsSelection.validators_for_feature(:api_stats_controller), & &1.validator_name())\n    )\n    |> where([resource: r], r.is_available == true)\n    |> select([dataset: d, metadata: m], %{\n      dataset_id: d.id,\n      end_date: fragment(\"TO_DATE(?->>'end_date', 'YYYY-MM-DD')\", m.metadata)\n    })\n  end\n\n  def dataset_error_levels do\n    DB.Dataset.base_query()\n    |> DB.Dataset.join_from_dataset_to_metadata(\n      Enum.map(Transport.ValidatorsSelection.validators_for_feature(:api_stats_controller), & &1.validator_name())\n    )\n    |> DB.ResourceMetadata.where_up_to_date()\n    |> where([resource: r], r.is_available == true)\n    |> select([dataset: d, multi_validation: mv], %{dataset_id: d.id, max_error: mv.max_error})\n  end\n\n  def relevant_coverage_datasets do\n    DB.Dataset.base_query()\n    |> join(:inner, [dataset: d], a in assoc(d, :declarative_spatial_areas), as: :administrative_division)\n    # Covering a commune, EPCI OR the Ile-de-France region\n    |> where([administrative_division: ad], ad.type in [:commune, :epci] or (ad.type == :region and ad.insee == \"11\"))\n    |> distinct(true)\n    |> select([dataset: d], d.id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/controllers/validators_controller.ex",
    "content": "defmodule TransportWeb.API.ValidatorsController do\n  use TransportWeb, :controller\n  require Logger\n\n  @doc \"\"\"\n  Proxies an HTTP request to the GTFS transport validator while logging a message\n  with the client calling the validator.\n\n  This is used to keep the GTFS validator private, gather usage and can be used\n  to add further metrics, quotas or queues.\n  \"\"\"\n  def gtfs_transport(%Plug.Conn{assigns: %{client: client}} = conn, %{\"url\" => url}) do\n    Logger.info(\"Handling GTFS validation from #{client} for #{url}\")\n\n    case Shared.Validation.GtfsValidator.Wrapper.impl().validate_from_url(url) do\n      {:ok, body} -> conn |> json(body)\n      {:error, error} -> send_error_response(conn, error)\n    end\n  end\n\n  def gtfs_transport(%Plug.Conn{} = conn, _) do\n    send_error_response(conn, \"You must include a GTFS URL\")\n  end\n\n  def send_error_response(%Plug.Conn{} = conn, message) do\n    conn |> put_status(:bad_request) |> json(%{error: message})\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/plugs/auth.ex",
    "content": "defmodule TransportWeb.API.Plugs.Auth do\n  @moduledoc \"\"\"\n  A very simple plug handling authorization for HTTP requests through tokens.\n  It gets the list of (client, token) from the `API_AUTH_CLIENTS` environment variable.\n\n  If the request is authorized, the plug adds the client name to the conn assigns for further use.\n  Otherwise, a 401 response is sent.\n  \"\"\"\n  import Plug.Conn\n\n  def init(default), do: default\n\n  def call(%Plug.Conn{} = conn, _) do\n    case find_client(get_req_header(conn, \"authorization\")) do\n      {:ok, client} ->\n        conn |> assign(:client, client)\n\n      :error ->\n        conn\n        |> put_status(:unauthorized)\n        |> Phoenix.Controller.json(%{error: \"You must set a valid Authorization header\"})\n        |> halt()\n    end\n  end\n\n  defp find_client([authorization]) do\n    # Expected format: `client1:secret_token;client2:other_token`\n    Application.fetch_env!(:transport, :api_auth_clients)\n    |> String.split(\";\")\n    |> Enum.map(&(&1 |> String.split(\":\") |> List.to_tuple()))\n    |> Enum.find_value(:error, fn {client, secret} ->\n      if Plug.Crypto.secure_compare(authorization, secret) do\n        {:ok, client}\n      end\n    end)\n  end\n\n  defp find_client(_), do: :error\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/plugs/cache.ex",
    "content": "defmodule TransportWeb.API.Plugs.PublicCache do\n  @moduledoc \"\"\"\n  A cache to set `cache-control` HTTP headers for responses suitable\n  to be cached by browsers or caches.\n\n  Default value: `max-age=60, public, must-revalidate`.\n\n  Allowed options:\n  - `max_age` (integer)\n  \"\"\"\n  import Plug.Conn, only: [put_resp_header: 3]\n\n  def init(options) do\n    max_age = Keyword.get(options, :max_age, 60)\n\n    unless is_integer(max_age) and max_age > 0 do\n      raise ArgumentError, \"max_age must be a positive integer, received #{inspect(max_age)}\"\n    end\n\n    [{:max_age, max_age}]\n  end\n\n  def call(conn, options) do\n    max_age = Keyword.fetch!(options, :max_age)\n    conn |> put_resp_header(\"cache-control\", \"max-age=#{max_age}, public, must-revalidate\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/plugs/token_auth.ex",
    "content": "defmodule TransportWeb.API.Plugs.TokenAuth do\n  @moduledoc \"\"\"\n  A plug handling authorization for HTTP requests through tokens stored\n  in the database in the `token` table.\n\n  When an `authorization` HTTP header is set:\n  - If the request is authorized, the plug adds the token to the conn assigns for further use.\n  - Otherwise, respond with a 401 response.\n\n  If the `authorization` HTTP header is not set the request can go through.\n\n  Later we will want to count requests by path/token etc.\n  \"\"\"\n  import Plug.Conn\n\n  def init(default), do: default\n\n  def call(%Plug.Conn{} = conn, _) do\n    case find_client(get_req_header(conn, \"authorization\")) do\n      {:ok, token} ->\n        conn |> assign(:token, token)\n\n      :error ->\n        conn\n        |> put_status(:unauthorized)\n        |> Phoenix.Controller.json(%{error: \"You must set a valid Authorization header\"})\n        |> halt()\n    end\n  end\n\n  defp find_client([authorization]) do\n    case DB.Repo.get_by(DB.Token, secret_hash: authorization) do\n      %DB.Token{} = token -> {:ok, token}\n      nil -> :error\n    end\n  end\n\n  defp find_client(_), do: {:ok, nil}\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/router.ex",
    "content": "defmodule TransportWeb.API.Router do\n  use TransportWeb, :router\n  use Sentry.PlugCapture\n\n  pipeline :accept_json do\n    plug(:accepts, [\"json\"])\n  end\n\n  pipeline :api do\n    plug(CORSPlug, origin: \"*\", credentials: false)\n    plug(OpenApiSpex.Plug.PutApiSpec, module: TransportWeb.API.Spec)\n    plug(Sentry.PlugContext)\n    plug(ETag.Plug)\n  end\n\n  pipeline :public_cache do\n    plug(TransportWeb.API.Plugs.PublicCache, max_age: 60)\n  end\n\n  # Authorization for the GTFS validator.\n  # The list of `(user, secret)` is set manually through the app config.\n  pipeline :simple_token_auth do\n    plug(TransportWeb.API.Plugs.Auth)\n  end\n\n  # Authenticate users using the `token` table.\n  pipeline :token_auth do\n    plug(TransportWeb.API.Plugs.TokenAuth)\n  end\n\n  scope \"/api/\" do\n    pipe_through([:accept_json, :api, :token_auth])\n    get(\"/\", TransportWeb.Redirect, to: \"/swaggerui\")\n\n    scope \"/aoms\" do\n      get(\"/\", TransportWeb.API.AomController, :by_coordinates)\n      get(\"/geojson\", TransportWeb.API.AomController, :geojson)\n      get(\"/:insee\", TransportWeb.API.AomController, :by_insee)\n    end\n\n    scope \"/stats\" do\n      get(\"/\", TransportWeb.API.StatsController, :index)\n      get(\"/vehicles-sharing\", TransportWeb.API.StatsController, :vehicles_sharing)\n      get(\"/quality\", TransportWeb.API.StatsController, :quality)\n    end\n\n    get(\"/openapi\", OpenApiSpex.Plug.RenderSpec, :show)\n\n    scope \"/autocomplete\" do\n      pipe_through(:public_cache)\n\n      get(\"/\", TransportWeb.API.AutocompleteController, :autocomplete)\n    end\n\n    scope \"/datasets\" do\n      pipe_through(:public_cache)\n\n      get(\"/\", TransportWeb.API.DatasetController, :datasets)\n      get(\"/:id\", TransportWeb.API.DatasetController, :by_id)\n      get(\"/:id/geojson\", TransportWeb.API.DatasetController, :geojson_by_id)\n    end\n\n    scope \"/geo-query\" do\n      get(\"/\", TransportWeb.API.GeoQueryController, :index)\n    end\n\n    scope \"/features\" do\n      post(\"/autocomplete\", TransportWeb.API.FeaturesController, :autocomplete)\n    end\n\n    get(\"/gtfs-stops\", TransportWeb.API.GTFSStopsController, :index)\n  end\n\n  scope \"/api\" do\n    pipe_through([:accept_json, :api, :simple_token_auth])\n\n    scope \"/validators\" do\n      get(\"/gtfs-transport\", TransportWeb.API.ValidatorsController, :gtfs_transport)\n    end\n  end\n\n  @spec swagger_info :: %{info: %{title: binary(), version: binary()}}\n  def swagger_info,\n    do: %{\n      info: %{\n        version: \"1.0\",\n        title: \"transport.data.gouv.fr API\"\n      }\n    }\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/schemas.ex",
    "content": "defmodule TransportWeb.API.Schemas do\n  @moduledoc \"\"\"\n    OpenAPI schema defintions\n\n    Useful documentation:\n    - https://json-schema.org/understanding-json-schema/reference/array.html\n    - https://json-schema.org/understanding-json-schema/reference/object.html\n    - https://json-schema.org/understanding-json-schema/reference/string.html\n\n    A good chunk of our GeoJSON responses do not pass our OpenAPI specs. It would need more work.\n\n  \"\"\"\n  require OpenApiSpex\n  alias OpenApiSpex.{ExternalDocumentation, Schema}\n\n  defmodule GeometryBase do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"GeometryBase\",\n      type: :object,\n      description: \"GeoJSon geometry\",\n      required: [:type],\n      externalDocs: %ExternalDocumentation{\n        url: \"http://geojson.org/geojson-spec.html#geometry-objects\"\n      },\n      properties: %{\n        type: %Schema{\n          type: :string,\n          enum: [\n            \"Point\",\n            \"LineString\",\n            \"Polygon\",\n            \"MultiPoint\",\n            \"MultiLineString\",\n            \"MultiPolygon\"\n          ]\n        }\n      },\n      # allow extra properties since this is used as a composable base\n      additionalProperties: true\n    })\n  end\n\n  defmodule NumberItems do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"NumberItems\",\n      type: :number\n    })\n  end\n\n  defmodule Point2D do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"Point2D\",\n      type: :array,\n      description: \"Point in 2D space\",\n      externalDocs: %ExternalDocumentation{url: \"http://geojson.org/geojson-spec.html#id2\"},\n      minItems: 2,\n      maxItems: 2,\n      items: NumberItems\n    })\n  end\n\n  defmodule LineString do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"LineString\",\n      type: :object,\n      description: \"GeoJSon geometry\",\n      externalDocs: %ExternalDocumentation{url: \"http://geojson.org/geojson-spec.html#id3\"},\n      allOf: [\n        GeometryBase.schema(),\n        %Schema{\n          type: :object,\n          properties: %{\n            coordinates: %Schema{type: :array, items: Point2D}\n          }\n        }\n      ],\n      additionalProperties: false\n    })\n  end\n\n  defmodule Polygon do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      type: :object,\n      title: \"Polygon\",\n      description: \"GeoJSON geometry\",\n      externalDocs: %ExternalDocumentation{url: \"http://geojson.org/geojson-spec.html#id4\"},\n      allOf: [\n        GeometryBase.schema(),\n        %Schema{\n          type: :object,\n          properties: %{\n            coordinates: %Schema{\n              type: :array,\n              items: %Schema{\n                type: :array,\n                items: %Schema{\n                  type: :array,\n                  items: Point2D\n                }\n              }\n            }\n          }\n        }\n      ],\n      additionalProperties: false\n    })\n  end\n\n  defmodule MultiPoint do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      type: :object,\n      title: \"MultiPoint\",\n      description: \"GeoJSon geometry\",\n      externalDocs: %ExternalDocumentation{url: \"http://geojson.org/geojson-spec.html#id5\"},\n      allOf: [\n        GeometryBase.schema(),\n        %Schema{\n          type: :object,\n          properties: %{\n            coordinates: %Schema{type: :array, items: Point2D}\n          }\n        }\n      ],\n      additionalProperties: false\n    })\n  end\n\n  defmodule MultiLineString do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      type: :object,\n      title: \"MultiLineString\",\n      description: \"GeoJSon geometry\",\n      externalDocs: %ExternalDocumentation{url: \"http://geojson.org/geojson-spec.html#id4\"},\n      allOf: [\n        GeometryBase.schema(),\n        %Schema{\n          type: :object,\n          properties: %{\n            coordinates: %Schema{type: :array, items: %Schema{type: :array, items: Point2D}}\n          }\n        }\n      ],\n      additionalProperties: false\n    })\n  end\n\n  defmodule MultiPolygon do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      type: :object,\n      title: \"MultiPolygon\",\n      description: \"GeoJSon geometry\",\n      externalDocs: %ExternalDocumentation{url: \"http://geojson.org/geojson-spec.html#id6\"},\n      allOf: [\n        GeometryBase.schema(),\n        %Schema{\n          type: :object,\n          properties: %{\n            coordinates: %Schema{\n              type: :array,\n              items: %Schema{type: :array, items: %Schema{type: :array, items: Point2D}}\n            }\n          }\n        }\n      ],\n      additionalProperties: false\n    })\n  end\n\n  defmodule Geometry do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"Geometry\",\n      description: \"Geometry object\",\n      type: :object,\n      oneOf: [\n        LineString.schema(),\n        Polygon.schema(),\n        MultiPoint.schema(),\n        MultiLineString.schema(),\n        MultiPolygon.schema()\n      ],\n      additionalProperties: false\n    })\n  end\n\n  defmodule Feature do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      type: :object,\n      title: \"Feature\",\n      description: \"Feature object\",\n      required: [:type, :geometry, :properties],\n      properties: %{\n        type: %Schema{type: :string, enum: [\"Feature\"]},\n        geometry: Geometry,\n        properties: %Schema{\n          type: :object,\n          properties: %{\n            id: %Schema{\n              oneOf: [%Schema{type: :string}, %Schema{type: :number}]\n            }\n          }\n        }\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule FeatureCollection do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      type: :object,\n      title: \"FeatureCollection\",\n      description: \"FeatureCollection object\",\n      properties: %{\n        features: %Schema{type: :array, items: Feature},\n        type: %Schema{type: :string, enum: [\"FeatureCollection\"], required: true},\n        name: %Schema{type: :string}\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule AOMResponse do\n    @moduledoc false\n    require OpenApiSpex\n\n    @properties %{\n      siren: %Schema{type: :string, nullable: true},\n      nom: %Schema{type: :string},\n      insee_commune_principale: %Schema{type: :string},\n      forme_juridique: %Schema{type: :string},\n      departement: %Schema{type: :string}\n    }\n\n    OpenApiSpex.schema(%{\n      title: \"AOMResponse\",\n      description: \"AOM object, as returned from AOMs endpoints\",\n      type: :object,\n      properties: @properties,\n      required: @properties |> Map.keys(),\n      additionalProperties: false\n    })\n  end\n\n  defmodule Offer do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"Offer\",\n      description: \"A transport offer\",\n      type: :object,\n      properties: %{\n        nom_commercial: %Schema{type: :string, nullable: false},\n        identifiant_offre: %Schema{type: :integer, nullable: false},\n        type_transport: %Schema{type: :string, nullable: false},\n        nom_aom: %Schema{type: :string, nullable: false}\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule AOM do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"AOM\",\n      description: \"AOM object, as used in covered area and legal owners\",\n      type: :object,\n      required: [:name, :siren, :type],\n      properties: %{\n        name: %Schema{type: :string},\n        siren: %Schema{type: :string},\n        type: %Schema{type: :string, enum: [\"aom\"]}\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule Region do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"Region\",\n      description: \"Region object\",\n      type: :object,\n      required: [:name, :insee, :type],\n      properties: %{\n        name: %Schema{type: :string},\n        insee: %Schema{type: :string},\n        type: %Schema{type: :string, enum: [\"region\"]}\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule Company do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"Company\",\n      description: \"Company object\",\n      type: :object,\n      required: [:siren, :type],\n      properties: %{\n        siren: %Schema{type: :string},\n        type: %Schema{type: :string, enum: [\"company\"]}\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule City do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"City\",\n      description: \"City object\",\n      type: :object,\n      required: [:name, :insee],\n      properties: %{\n        name: %Schema{type: :string},\n        insee: %Schema{type: :string}\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule AdministrativeDivision do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"AdministrativeDivision\",\n      type: :object,\n      required: [\n        :type,\n        :insee,\n        :nom\n      ],\n      properties: %{\n        type: %Schema{\n          type: :string,\n          enum: Ecto.Enum.dump_values(DB.AdministrativeDivision, :type),\n          required: true\n        },\n        insee: %Schema{type: :string, required: true},\n        nom: %Schema{type: :string, required: true}\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule CoveredArea do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"CoveredArea\",\n      type: :array,\n      items: AdministrativeDivision.schema(),\n      additionalProperties: false\n    })\n  end\n\n  defmodule LegalOwners do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"LegalOwners\",\n      type: :array,\n      items: %Schema{\n        anyOf: [\n          AOM.schema(),\n          Region.schema(),\n          Company.schema()\n        ]\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule GeoJSONResponse do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"GeoJSONResponse\",\n      description: \"Response in GeoJSON\",\n      type: :object,\n      oneOf: [\n        Geometry.schema(),\n        Feature.schema(),\n        FeatureCollection.schema()\n      ],\n      additionalProperties: false\n    })\n  end\n\n  defmodule ErrorJSONResponse do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"ErrorJSONResponse\",\n      description: \"Error Response in JSON\",\n      type: :object,\n      properties: %{\n        error: %Schema{type: :string}\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule Publisher do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"Publisher\",\n      description: \"Publisher\",\n      type: :object,\n      properties: %{\n        name: %Schema{type: :string},\n        id: %Schema{type: :string},\n        type: %Schema{type: :string}\n      },\n      additionalProperties: false\n    })\n  end\n\n  defmodule ResourceUtils do\n    @moduledoc false\n    def get_resource_prop(conversions: false),\n      do: %{\n        datagouv_id: %Schema{\n          type: :string,\n          description: \"Data gouv id of the resource\"\n        },\n        id: %Schema{\n          type: :integer,\n          description: \"transport.data.gouv.fr's ID\"\n        },\n        format: %Schema{\n          type: :string,\n          description: \"The format of the resource (GTFS, NeTEx, etc.)\"\n        },\n        is_available: %Schema{\n          type: :boolean,\n          description: \"Availability of the resource\"\n        },\n        original_url: %Schema{\n          type: :string,\n          description: \"Direct URL of the file\"\n        },\n        url: %Schema{type: :string, description: \"Stable URL of the file\"},\n        page_url: %Schema{\n          type: :string,\n          description: \"URL of the resource on transport.data.gouv.fr\"\n        },\n        features: %Schema{\n          type: :array,\n          items: %Schema{type: :string},\n          description: \"Features\"\n        },\n        title: %Schema{type: :string, description: \"Title of the resource\"},\n        filesize: %Schema{\n          type: :integer,\n          description: \"Size of the resource in bytes\"\n        },\n        metadata: %Schema{\n          type: :object,\n          description: \"Some metadata about the resource\"\n        },\n        type: %Schema{type: :string, description: \"Category of the data\"},\n        modes: %Schema{\n          type: :array,\n          items: %Schema{type: :string},\n          description: \"Types of transportation\"\n        },\n        updated: %Schema{\n          type: :string,\n          format: \"date-time\",\n          description: \"Last update date-time\"\n        },\n        schema_name: %Schema{\n          type: :string,\n          description: \"Data schema followed by the resource\"\n        },\n        schema_version: %Schema{\n          type: :string,\n          description: \"Version of the data schema followed by the resource\"\n        }\n      }\n\n    # conversions are only shown in the detailed dataset view\n    def get_resource_prop(conversions: true),\n      do:\n        [conversions: false]\n        |> get_resource_prop()\n        |> Map.put(:conversions, %Schema{\n          type: :object,\n          description: \"Available conversions of the resource in other formats\",\n          properties: %{\n            GeoJSON: %Schema{\n              type: :object,\n              description: \"Conversion to the GeoJSON format\",\n              required: conversion_properties() |> Map.keys(),\n              properties: conversion_properties(),\n              additionalProperties: false\n            },\n            NeTEx: %Schema{\n              type: :object,\n              description: \"Conversion to the NeTEx format\",\n              required: conversion_properties() |> Map.keys(),\n              properties: conversion_properties(),\n              additionalProperties: false\n            }\n          }\n        })\n\n    def get_community_resource_prop do\n      [conversions: false]\n      |> ResourceUtils.get_resource_prop()\n      |> Map.put(:community_resource_publisher, %Schema{\n        type: :string,\n        description: \"Name of the producer of the community resource\"\n      })\n      |> Map.put(\n        :original_resource_url,\n        %Schema{\n          type: :string,\n          description: \"\"\"\n          Some community resources have been generated from another dataset (like the generated NeTEx / GeoJSON).\n          Those resources have a `original_resource_url` equals to the original resource's `original_url`\n          \"\"\"\n        }\n      )\n    end\n\n    # DRYing keys here\n    def get_resource_optional_properties_keys do\n      [\n        :features,\n        :filesize,\n        :metadata,\n        :modes,\n        :original_resource_url,\n        :schema_name,\n        :schema_version\n      ]\n    end\n\n    defp conversion_properties,\n      do: %{\n        filesize: %Schema{type: :integer, description: \"File size in bytes\"},\n        last_check_conversion_is_up_to_date: %Schema{\n          type: :string,\n          format: \"date-time\",\n          description: \"Last datetime (UTC) it was checked the converted file is still up-to-date with the resource\"\n        },\n        stable_url: %Schema{type: :string, description: \"The converted file stable download URL\"}\n      }\n  end\n\n  defmodule DetailedResource do\n    @moduledoc false\n    require OpenApiSpex\n\n    @properties ResourceUtils.get_resource_prop(conversions: true)\n    @optional_properties ResourceUtils.get_resource_optional_properties_keys()\n\n    OpenApiSpex.schema(%Schema{\n      type: :object,\n      description: \"A single resource (including conversions)\",\n      required: (@properties |> Map.keys()) -- @optional_properties,\n      properties: @properties,\n      additionalProperties: false\n    })\n  end\n\n  defmodule SummarizedResource do\n    @moduledoc false\n    require OpenApiSpex\n\n    @properties ResourceUtils.get_resource_prop(conversions: false)\n    @optional_properties ResourceUtils.get_resource_optional_properties_keys()\n\n    OpenApiSpex.schema(%Schema{\n      type: :object,\n      description: \"A single resource (summarized version)\",\n      required: (@properties |> Map.keys()) -- @optional_properties,\n      properties: @properties,\n      additionalProperties: false\n    })\n  end\n\n  defmodule CommunityResource do\n    @moduledoc false\n    require OpenApiSpex\n\n    @properties ResourceUtils.get_community_resource_prop()\n    @optional_properties ResourceUtils.get_resource_optional_properties_keys()\n\n    OpenApiSpex.schema(%Schema{\n      type: :object,\n      description: \"A single community resource\",\n      required: (@properties |> Map.keys()) -- @optional_properties,\n      properties: @properties,\n      additionalProperties: false\n    })\n  end\n\n  defmodule ResourceHistory do\n    @moduledoc false\n    require OpenApiSpex\n\n    @properties %{\n      inserted_at: %Schema{type: :string, format: \"date-time\"},\n      updated_at: %Schema{type: :string, format: \"date-time\"},\n      last_up_to_date_at: %Schema{type: :string, format: \"date-time\", nullable: true},\n      payload: %Schema{type: :object, description: \"Payload (loosely specified at the moment)\"},\n      latest_schema_version_to_date: %Schema{type: :string},\n      permanent_url: %Schema{type: :string},\n      resource_latest_url: %Schema{type: :string},\n      resource_url: %Schema{type: :string},\n      # NOTE: apparently, can be nil sometimes! This should be investigated\n      resource_id: %Schema{type: :integer, nullable: true},\n      schema_name: %Schema{type: :string},\n      schema_version: %Schema{type: :string},\n      title: %Schema{type: :string},\n      uuid: %Schema{type: :string}\n    }\n    @optional_properties [\n      :latest_schema_version_to_date,\n      :permanent_url,\n      :resource_latest_url,\n      :resource_url,\n      :schema_name,\n      :schema_version,\n      :uuid,\n      :title\n    ]\n\n    OpenApiSpex.schema(%Schema{\n      type: :object,\n      description: \"A resource version\",\n      required: (@properties |> Map.keys()) -- @optional_properties,\n      properties: @properties,\n      additionalProperties: false\n    })\n  end\n\n  defmodule DatasetUtils do\n    @moduledoc false\n\n    def get_dataset_prop(details: details) do\n      # base resource comes in 2 flavors\n      resource_type = if details == true, do: DetailedResource, else: SummarizedResource\n\n      base = %{\n        datagouv_id: %Schema{\n          type: :string,\n          description: \"Data gouv id for this dataset\"\n        },\n        id: %Schema{type: :string, description: \"Same as datagouv_id\"},\n        updated: %Schema{\n          type: :string,\n          format: :\"date-time\",\n          description: \"The last update of any resource of that dataset (`null` if the dataset has no resources)\",\n          nullable: true\n        },\n        page_url: %Schema{\n          type: :string,\n          description: \"transport.data.gouv.fr page for this dataset\"\n        },\n        publisher: Publisher.schema(),\n        slug: %Schema{type: :string, description: \"unique dataset slug\"},\n        title: %Schema{type: :string},\n        type: %Schema{type: :string},\n        sub_types: %Schema{\n          type: :array,\n          items: %Schema{type: :string}\n        },\n        licence: %Schema{\n          type: :string,\n          description: \"The licence of the dataset\"\n        },\n        created_at: %Schema{\n          type: :string,\n          format: :date,\n          description: \"Date of creation of the dataset\"\n        },\n        resources: %Schema{\n          type: :array,\n          description: \"All the resources associated with the dataset\",\n          # NOTE: community resources will have to be removed from here\n          # https://github.com/etalab/transport-site/issues/3407\n          items: %Schema{anyOf: [resource_type, CommunityResource]}\n        },\n        community_resources: %Schema{\n          type: :array,\n          description: \"All the community resources (published by the community) associated with the dataset\",\n          items: CommunityResource\n        },\n        covered_area: CoveredArea.schema(),\n        legal_owners: LegalOwners.schema(),\n        tags: %Schema{\n          type: :array,\n          description: \"Tags associated to the dataset, as set by the NAP team\",\n          items: %Schema{type: :string}\n        },\n        offers: %Schema{\n          type: :array,\n          description: \"Transport offers associated to the dataset\",\n          items: Offer\n        }\n      }\n\n      if details do\n        base\n        |> Map.put(:history, %Schema{type: :array, items: ResourceHistory})\n      else\n        base\n      end\n    end\n  end\n\n  defmodule DatasetSummary do\n    @moduledoc false\n    require OpenApiSpex\n\n    @properties DatasetUtils.get_dataset_prop(details: false)\n\n    OpenApiSpex.schema(%{\n      title: \"DatasetSummary\",\n      description: \"A dataset is a composed of one or more resources (summarized version)\",\n      type: :object,\n      required: @properties |> Map.keys(),\n      properties: @properties,\n      additionalProperties: false\n    })\n  end\n\n  defmodule DatasetDetails do\n    @moduledoc false\n    require OpenApiSpex\n\n    @properties DatasetUtils.get_dataset_prop(details: true)\n\n    OpenApiSpex.schema(%{\n      title: \"DatasetDetails\",\n      description:\n        \"A dataset is a composed of one or more resources (detailed version, including history & conversions).\",\n      type: :object,\n      required: @properties |> Map.keys(),\n      properties: @properties,\n      additionalProperties: false\n    })\n  end\n\n  defmodule DatasetsResponse do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"DatasetsResponse\",\n      type: :array,\n      items: DatasetSummary.schema()\n    })\n  end\n\n  defmodule AutocompleteItem do\n    @moduledoc false\n    require OpenApiSpex\n\n    @types [\n      \"region\",\n      \"departement\",\n      \"epci\",\n      \"commune\",\n      \"feature\",\n      \"mode\",\n      \"offer\",\n      \"format\",\n      \"dataset\"\n    ]\n\n    @properties %{\n      url: %Schema{type: :string, description: \"URL of the resource\"},\n      type: %Schema{\n        type: :string,\n        description: \"Type of the resource\",\n        enum: @types\n      },\n      name: %Schema{type: :string, description: \"Name of the resource\"}\n    }\n\n    def types, do: @types\n\n    OpenApiSpex.schema(%{\n      title: \"Autocomplete result\",\n      description: \"One result of the autocomplete\",\n      type: :object,\n      required: @properties |> Map.keys(),\n      properties: @properties,\n      additionalProperties: false\n    })\n  end\n\n  defmodule AutocompleteResponse do\n    @moduledoc false\n    require OpenApiSpex\n\n    OpenApiSpex.schema(%{\n      title: \"AutocompleteResponse\",\n      description: \"An array of matching results\",\n      type: :array,\n      items: AutocompleteItem\n    })\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/spec.ex",
    "content": "defmodule TransportWeb.API.Spec do\n  @moduledoc \"\"\"\n  OpenAPI specifications\n  \"\"\"\n  alias OpenApiSpex.{Contact, Info, OpenApi, Paths}\n\n  @spec spec :: OpenApiSpex.OpenApi.t()\n  def spec do\n    %OpenApi{\n      # # https://github.com/OAI/OpenAPI-Specification/blob/main/versions/2.0.md#info-object\n      info: %Info{\n        title: \"transport.data.gouv.fr API\",\n        version: \"1.0\",\n        description: ~s\"\"\"\n          Extra <a href=\"https://doc.transport.data.gouv.fr/outils/outils-disponibles-sur-le-pan/api\">documentation</a>.\n\n          The structure of the returned data is detailed at the bottom (see `Schemas`) and on each query (click on `Schema` near `Example Value`).\n\n          To create a query, add the domain `https://transport.data.gouv.fr` and the path (e.g. `/api/datasets`).\n\n          ## Authentication\n          Tokens can be used when using the API. The token should be included in the `Authorization` HTTP header.\n          If your token is `foo`, you should send HTTP requests with the header `Authorization: foo`.\n\n          You can manage your token settings from your [reuser space](https://transport.data.gouv.fr/espace_reutilisateur).\n        \"\"\",\n        contact: %Contact{\n          name: \"API email support\",\n          email: Application.fetch_env!(:transport, :contact_email)\n        }\n      },\n      paths: Paths.from_router(TransportWeb.API.Router)\n    }\n    |> OpenApiSpex.resolve_schema_modules()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/views/aom_view.ex",
    "content": "defmodule TransportWeb.API.AomView do\n  alias TransportWeb.API.JSONView\n\n  def render(conn, %{data: data}) do\n    JSONView.render(conn, %{data: data})\n  end\n\n  def render(conn, %{features: features}) do\n    geojson = %{\n      \"type\" => \"FeatureCollection\",\n      \"features\" => features\n    }\n\n    render(conn, %{data: geojson})\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/views/autocomplete_view.ex",
    "content": "defmodule TransportWeb.API.AutocompleteView do\n  alias TransportWeb.API.JSONView\n\n  def render(conn, data) do\n    JSONView.render(conn, data)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/views/dataset_view.ex",
    "content": "defmodule TransportWeb.API.DatasetView do\n  alias TransportWeb.API.JSONView\n\n  def render(conn, data) do\n    JSONView.render(conn, data)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/views/json_view.ex",
    "content": "defmodule TransportWeb.API.JSONView do\n  def render(_conn, %{data: data}) do\n    data\n  end\n\n  def render(_conn, %{errors: errors}) do\n    errors\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/api/views/stats_view.ex",
    "content": "defmodule TransportWeb.API.StatsView do\n  alias TransportWeb.API.JSONView\n\n  def render(conn, %{data: geojson}) do\n    JSONView.render(conn, %{data: geojson})\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/channels/explore_channel.ex",
    "content": "defmodule TransportWeb.ExploreChannel do\n  @moduledoc \"\"\"\n  A Phoenix channel used to deliver real-time data to a view.\n  \"\"\"\n\n  use Phoenix.Channel\n\n  @explore_topic \"explore\"\n  @viewers_key \"viewers\"\n\n  def explore_topic, do: @explore_topic\n  def viewers_key, do: @viewers_key\n\n  def join(@explore_topic, _message, socket) do\n    send(self(), :after_join)\n    {:ok, socket}\n  end\n\n  def handle_info(:after_join, socket) do\n    {:ok, _} = TransportWeb.Presence.track(socket, @viewers_key, %{})\n    {:noreply, socket}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/channels/user_socket.ex",
    "content": "defmodule TransportWeb.UserSocket do\n  use Phoenix.Socket\n\n  ## Channels\n  channel(\"explore\", TransportWeb.ExploreChannel)\n\n  # Socket params are passed from the client and can\n  # be used to verify and authenticate a user. After\n  # verification, you can put default assigns into\n  # the socket that will be set for all channels, ie\n  #\n  #     {:ok, assign(socket, :user_id, verified_user_id)}\n  #\n  # To deny connection, return `:error`.\n  #\n  # See `Phoenix.Token` documentation for examples in\n  # performing token verification on connect.\n  def connect(_params, socket) do\n    {:ok, socket}\n  end\n\n  # Socket id's are topics that allow you to identify all sockets for a\n  # given user:\n  #\n  #     def id(socket), do: \"user_socket:#{socket.assigns.user_id}\"\n  #\n  # Would allow you to broadcast a \"disconnect\" event and terminate\n  # all active sockets and channels for a given user:\n  #\n  #     TransportWeb\n  #       .Endpoint\n  #       .broadcast(\"user_socket:#{user.id}\", \"disconnect\", %{})\n  #\n  # Returning `nil` makes this socket anonymous.\n  def id(_socket), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/components/colorful_button.ex",
    "content": "defmodule TransportWeb.Components.ColorfulButton do\n  @moduledoc \"\"\"\n  Colorful button that acts as a link packaged as a Phoenix Component.\n\n  Useful for navigation.\n  \"\"\"\n\n  use Phoenix.Component\n\n  attr(:valid, :boolean, default: true)\n  attr(:striped, :boolean, default: false)\n  attr(:selected, :boolean, default: false)\n  attr(:href, :string, required: true)\n\n  slot(:icon)\n  slot(:label, required: true)\n\n  def colorful_link(assigns) do\n    ~H\"\"\"\n    <.link class={classnames(@valid, @striped, @selected)} href={@href}>\n      {render_slot(@icon)}\n      <span>\n        {render_slot(@label)}\n      </span>\n    </.link>\n    \"\"\"\n  end\n\n  defp classnames(valid, striped, selected) do\n    validity =\n      if valid do\n        [\"valid\"]\n      else\n        [\"invalid\"]\n      end\n\n    variant =\n      if striped do\n        [\"striped\"]\n      else\n        []\n      end\n\n    selected =\n      if selected do\n        [\"selected\"]\n      else\n        []\n      end\n\n    Enum.join([\"colorful\"] ++ validity ++ variant ++ selected, \" \")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/aoms_controller.ex",
    "content": "defmodule TransportWeb.AOMSController do\n  use TransportWeb, :controller\n  import Ecto.Query\n\n  @csv_headers [\n    :nom,\n    :departement,\n    :region,\n    :published,\n    :in_aggregate,\n    :up_to_date,\n    :has_realtime,\n    :nom_commune,\n    :insee_commune_principale,\n    :nombre_communes,\n    :population,\n    :nb_gtfs,\n    :nb_gtfs_rt,\n    :nb_netex,\n    :nb_siri,\n    :nb_siri_lite\n  ]\n\n  @type dataset :: %{\n          required(:aom_id) => integer(),\n          required(:dataset_id) => integer(),\n          required(:end_date) => Date.t(),\n          required(:has_realtime) => boolean()\n        }\n\n  @type aom_id :: integer()\n  @type dataset_id :: integer()\n\n  @spec index(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def index(conn, _params), do: render(conn, \"index.html\", aoms: aoms())\n\n  @spec prepare_aom({AOM.t(), binary()}, list(), list(), map()) :: map()\n  defp prepare_aom({aom, nom_commune}, gtfs_datasets, aggregated_datasets, formats) do\n    all_datasets = gtfs_datasets ++ aggregated_datasets\n\n    datasets_up_to_date =\n      all_datasets\n      |> Enum.reject(&is_nil(&1.end_date))\n      |> Enum.any?(fn dataset -> Date.compare(dataset.end_date, Date.utc_today()) !== :lt end)\n\n    datasets_realtime = Enum.any?(all_datasets, fn dataset -> dataset.has_realtime end)\n\n    %{\n      nom: aom.nom,\n      departement: aom.departement,\n      region: if(aom.region, do: aom.region.nom, else: \"\"),\n      published: not Enum.empty?(all_datasets),\n      in_aggregate: not Enum.empty?(aggregated_datasets),\n      up_to_date: datasets_up_to_date,\n      population: aom.population,\n      nom_commune: nom_commune,\n      insee_commune_principale: aom.insee_commune_principale,\n      nombre_communes: aom.nombre_communes,\n      has_realtime: datasets_realtime,\n      nb_gtfs: Map.get(formats, :nb_gtfs, 0),\n      nb_gtfs_rt: Map.get(formats, :nb_gtfs_rt, 0),\n      nb_netex: Map.get(formats, :nb_netex, 0),\n      nb_siri: Map.get(formats, :nb_siri, 0),\n      nb_siri_lite: Map.get(formats, :nb_siri_lite, 0)\n    }\n  end\n\n  @spec csv(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def csv(conn, _params) do\n    conn\n    |> put_resp_content_type(\"text/csv\")\n    |> put_resp_header(\"content-disposition\", \"attachment; filename=\\\"autorités_organisatrices_des_mobilités.csv\\\"\")\n    |> send_resp(200, csv_content())\n  end\n\n  @spec aoms :: [map()]\n  def aoms do\n    # Let’s fetch all GTFS datasets.\n    # This doesn’t include GTFS-Flex, although they are in public-transit and have a GTFS format on resource.\n    {gtfs_datasets_by_aom_id, gtfs_dataset_by_dataset_id} = gtfs_datasets()\n\n    # Some AOM data is present in aggregated datasets: the region publishes on behalf of the AOM.\n    # In this case, there are at least 2 legal owners on the dataset\n    aggregated_datasets_by_aom_id = aggregated_datasets(gtfs_dataset_by_dataset_id)\n\n    formats_by_aom = formats_by_aom()\n\n    Enum.map(aoms_and_commune_principale(), fn {aom, nom_commune} ->\n      prepare_aom(\n        {aom, nom_commune},\n        Map.get(gtfs_datasets_by_aom_id, aom.id, []),\n        Map.get(aggregated_datasets_by_aom_id, aom.id, []),\n        Map.get(formats_by_aom, aom.id, %{})\n      )\n    end)\n  end\n\n  @spec csv_content() :: binary()\n  defp csv_content do\n    aoms()\n    |> CSV.encode(headers: @csv_headers)\n    |> Enum.to_list()\n    |> to_string\n  end\n\n  defp formats_by_aom do\n    DB.Dataset.base_query()\n    |> DB.Resource.join_dataset_with_resource()\n    |> join(:left, [dataset: d], a in assoc(d, :legal_owners_aom), as: :aom)\n    |> where([dataset: d], d.type == \"public-transit\")\n    |> select(\n      [aom: a, resource: r],\n      %{\n        aom_id: a.id,\n        nb_gtfs: fragment(\"sum(case when ? = 'GTFS' then 1 else 0 end)\", r.format),\n        nb_netex: fragment(\"sum(case when ? = 'NeTEx' then 1 else 0 end)\", r.format),\n        nb_gtfs_rt: fragment(\"sum(case when ? = 'gtfs-rt' then 1 else 0 end)\", r.format),\n        nb_siri: fragment(\"sum(case when ? = 'SIRI' then 1 else 0 end)\", r.format),\n        nb_siri_lite: fragment(\"sum(case when ? = 'SIRI Lite' then 1 else 0 end)\", r.format)\n      }\n    )\n    |> group_by([aom: a], [a.id])\n    |> DB.Repo.all()\n    |> Map.new(&{&1.aom_id, &1})\n  end\n\n  @spec gtfs_datasets() :: {%{required(aom_id) => [dataset]}, %{required(dataset_id) => dataset}}\n  defp gtfs_datasets do\n    gtfs_datasets =\n      DB.Dataset.base_query()\n      |> DB.Dataset.join_from_dataset_to_metadata(\n        Enum.map(Transport.ValidatorsSelection.validators_for_feature(:aoms_controller), & &1.validator_name())\n      )\n      |> join(:left, [dataset: d], a in assoc(d, :legal_owners_aom), as: :aom)\n      |> where([dataset: d], d.type == \"public-transit\")\n      |> select(\n        [dataset: d, metadata: m, aom: a],\n        %{\n          aom_id: a.id,\n          dataset_id: d.id,\n          end_date: fragment(\"TO_DATE(?->>'end_date', 'YYYY-MM-DD')\", m.metadata),\n          has_realtime: d.has_realtime\n        }\n      )\n      |> DB.Repo.all()\n\n    gtfs_datasets_by_aom_id = gtfs_datasets |> Enum.group_by(& &1.aom_id)\n    gtfs_dataset_by_dataset_id = gtfs_datasets |> Map.new(&{&1.dataset_id, &1})\n    {gtfs_datasets_by_aom_id, gtfs_dataset_by_dataset_id}\n  end\n\n  @spec aggregated_datasets(%{required(dataset_id) => dataset}) :: %{required(aom_id) => [dataset]}\n  defp aggregated_datasets(gtfs_dataset_by_dataset_id) do\n    aggregated_datasets_in_db =\n      DB.AOM\n      |> join(:inner, [aom], d in assoc(aom, :legal_owners_dataset), as: :legal_owners_dataset)\n      |> where(\n        [legal_owners_dataset: d],\n        d.id in subquery(\n          DB.Dataset.base_query()\n          |> join(:inner, [dataset: d], aom in assoc(d, :legal_owners_aom), as: :aom)\n          |> DB.Resource.join_dataset_with_resource()\n          |> group_by([dataset: d], d.id)\n          |> having([aom: a], count(a.id, :distinct) >= 2)\n          |> where([resource: r], r.format in [\"GTFS\", \"NeTEx\"])\n          |> select([dataset: d], d.id)\n        )\n      )\n      |> select([aom, legal_owners_dataset: d], %{aom_id: aom.id, dataset_id: d.id})\n      |> DB.Repo.all()\n\n    aggregated_datasets_in_db\n    |> Enum.group_by(& &1.aom_id, fn %{dataset_id: dataset_id} ->\n      Map.get(\n        # Let’s enrich aggregated datasets with the GTFS dataset metadata if we have it\n        gtfs_dataset_by_dataset_id,\n        dataset_id,\n        # In case of a NeTEx or GTFS-Flex dataset, we don’t have the end_date\n        # We could have the realtime info by redoing the SQL query behind aggregated_datasets_in_db\n        %{dataset_id: dataset_id, end_date: nil, has_realtime: false}\n      )\n    end)\n  end\n\n  defp aoms_and_commune_principale do\n    DB.AOM\n    |> join(:left, [aom], c in DB.Commune, on: aom.insee_commune_principale == c.insee)\n    |> preload([:region])\n    |> select([aom, commune], {aom, commune.nom})\n    |> order_by([a], a.nom)\n    |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/atom_controller.ex",
    "content": "defmodule TransportWeb.AtomController do\n  use TransportWeb, :controller\n  alias DB.{Repo, Resource}\n  import Ecto.Query\n\n  @spec index(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def index(conn, _params) do\n    two_weeks_ago = DateTime.utc_now() |> DateTime.add(-15, :day)\n\n    resources = get_recently_updated_resources(two_weeks_ago)\n\n    conn\n    |> put_layout(false)\n    |> put_resp_content_type(\"application/xml\")\n    |> render(\"index.html\", resources: resources)\n  end\n\n  @spec get_recently_updated_resources(DateTime.t()) :: list\n  def get_recently_updated_resources(limit_date) do\n    Resource\n    |> preload(:dataset)\n    |> where([r], not is_nil(r.latest_url) and r.last_update >= ^limit_date)\n    |> Repo.all()\n    |> Enum.sort(fn r1, r2 -> DateTime.compare(r1.last_update, r2.last_update) == :gt end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/backoffice/breaking_news_controller.ex",
    "content": "defmodule TransportWeb.Backoffice.BreakingNewsController do\n  use TransportWeb, :controller\n\n  def index(conn, _params) do\n    conn\n    |> render(\"index.html\", current_breaking_news: DB.BreakingNews.get_breaking_news())\n  end\n\n  def update_breaking_news(conn, %{\"level\" => level, \"msg\" => msg}) do\n    DB.BreakingNews.set_breaking_news(%{level: level, msg: msg})\n\n    conn\n    |> put_flash_message(msg)\n    |> index(%{})\n  end\n\n  def put_flash_message(conn, \"\") do\n    conn |> put_flash(:info, \"breaking news supprimée\")\n  end\n\n  def put_flash_message(conn, _msg) do\n    conn |> put_flash(:info, \"breaking news activée\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/backoffice/broken_urls_controller.ex",
    "content": "defmodule TransportWeb.Backoffice.BrokenUrlsController do\n  use TransportWeb, :controller\n  import Ecto.Query\n\n  def index(conn, _params) do\n    conn\n    |> render(\"index.html\", broken_urls: broken_urls())\n  end\n\n  def broken_urls do\n    urls_query =\n      DB.DatasetHistory\n      |> join(:left, [dh], dhr in DB.DatasetHistoryResources, on: dh.id == dhr.dataset_history_id)\n      |> join(:inner, [dh], d in DB.Dataset, on: dh.dataset_id == d.id)\n      |> group_by([dh, _dhr, d], [dh.dataset_id, dh.inserted_at, d.custom_title])\n      |> order_by([dh], asc: dh.dataset_id, desc: dh.inserted_at)\n      |> select([dh, dhr, d], %{\n        dataset_custom_title: d.custom_title,\n        dataset_id: dh.dataset_id,\n        inserted_at: dh.inserted_at,\n        urls: fragment(\"array_agg(?.payload->>'download_url')\", dhr)\n      })\n\n    q = from(urls in subquery(urls_query))\n\n    previous_urls_query =\n      q\n      |> windows([urls], w: [partition_by: urls.dataset_id, order_by: urls.inserted_at])\n      |> select([urls], %{\n        dataset_custom_title: urls.dataset_custom_title,\n        dataset_id: urls.dataset_id,\n        inserted_at: urls.inserted_at,\n        urls: urls.urls,\n        previous_urls: urls.urls |> lag() |> over(:w)\n      })\n\n    q = from(urls in subquery(previous_urls_query))\n\n    broken_urls =\n      q\n      |> distinct([urls], urls.dataset_id)\n      |> select([urls], %{\n        dataset_custom_title: urls.dataset_custom_title,\n        dataset_id: urls.dataset_id,\n        inserted_at: urls.inserted_at,\n        urls: urls.urls,\n        previous_urls: urls.previous_urls,\n        disappeared_urls: fragment(\"not urls @> previous_urls\"),\n        new_urls: fragment(\"not previous_urls @> urls\")\n      })\n      |> order_by([urls], desc: urls.inserted_at, asc: urls.dataset_id)\n      |> where([urls], fragment(\"not urls @> previous_urls\") and fragment(\"not previous_urls @> urls\"))\n\n    q = from(urls in subquery(broken_urls))\n\n    q\n    |> order_by([urls], desc: urls.inserted_at)\n    |> select([urls], urls)\n    |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/backoffice/contact_controller.ex",
    "content": "defmodule TransportWeb.Backoffice.ContactController do\n  use TransportWeb, :controller\n  require Logger\n  import Ecto.Query\n\n  @spec index(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def index(%Plug.Conn{} = conn, %{} = params) do\n    conn = assign(conn, :q, Map.get(params, \"q\"))\n\n    params\n    |> DB.Contact.search()\n    |> order_by([contact: c], asc: c.last_name)\n    |> render_index(conn, params)\n  end\n\n  def new(%Plug.Conn{} = conn, params) do\n    conn\n    |> assign(:contact, DB.Contact.changeset(%DB.Contact{}, params))\n    |> render_form()\n  end\n\n  def create(%Plug.Conn{} = conn, %{\"contact\" => params}) do\n    case DB.Contact.changeset(existing_contact(params), params) do\n      %Ecto.Changeset{valid?: false} ->\n        conn |> redirect(to: backoffice_contact_path(conn, :new, params))\n\n      %Ecto.Changeset{valid?: true} = changeset ->\n        case changeset |> DB.Repo.insert_or_update() do\n          {:ok, _} ->\n            conn |> put_flash(:info, \"Contact mis à jour\") |> redirect(to: backoffice_contact_path(conn, :index))\n\n          {:error, %Ecto.Changeset{errors: [email: {\"has already been taken\", _}]}} ->\n            conn\n            |> put_flash(:error, \"Un contact existe déjà avec cette adresse e-mail\")\n            |> redirect(to: backoffice_contact_path(conn, :index))\n        end\n    end\n  end\n\n  defp existing_contact(%{\"id\" => id}) when id != \"\", do: DB.Repo.get!(DB.Contact, String.to_integer(id))\n  defp existing_contact(%{}), do: %DB.Contact{creation_source: :admin}\n\n  @spec edit(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def edit(%Plug.Conn{} = conn, %{\"id\" => contact_id} = params) do\n    conn\n    |> assign(:contact, DB.Contact.changeset(existing_contact(params), %{}))\n    |> assign(:contact_id, contact_id)\n    |> render_form()\n  end\n\n  def delete(%Plug.Conn{} = conn, %{\"id\" => _} = params) do\n    params |> existing_contact() |> DB.Repo.delete!()\n\n    conn\n    |> put_flash(:info, \"Le contact a été supprimé\")\n    |> redirect(to: backoffice_contact_path(conn, :index))\n  end\n\n  def csv_export(%Plug.Conn{assigns: %{current_user: current_user}} = conn, _params) do\n    Logger.info(\n      ~s|#{current_user[\"first_name\"]} #{current_user[\"last_name\"]} (#{current_user[\"id\"]}) vient de télécharger un export des contacts|\n    )\n\n    filename = \"contacts-#{Date.utc_today() |> Date.to_iso8601()}.csv\"\n\n    query = \"\"\"\n    select *\n    from contact\n    join (\n      select\n        c.id contact_id,\n        count(d.id) > 0 is_producer,\n        count(df.id) > 0 is_reuser,\n        array_remove(array_agg(distinct o.name), null) organization_names,\n        array_remove(array_agg(distinct ns_producer.reason), null) producer_reasons,\n        array_remove(array_agg(distinct ns_reuser.reason), null) reuser_reasons\n      from contact c\n      left join contacts_organizations co on co.contact_id = c.id\n      left join organization o on o.id = co.organization_id\n      left join dataset d on d.organization_id = co.organization_id\n      left join dataset_followers df on df.contact_id = c.id\n      left join notification_subscription ns_producer on ns_producer.contact_id = c.id and ns_producer.role = 'producer'\n      left join notification_subscription ns_reuser on ns_reuser.contact_id = c.id and ns_reuser.role = 'reuser'\n      group by 1\n    ) t on t.contact_id = id\n    order by id\n    \"\"\"\n\n    csv_header =\n      [\n        \"id\",\n        \"first_name\",\n        \"last_name\",\n        \"mailing_list_title\",\n        \"email\",\n        \"phone_number\",\n        \"job_title\",\n        \"organization\",\n        \"inserted_at\",\n        \"updated_at\",\n        \"datagouv_user_id\",\n        \"last_login_at\",\n        \"creation_source\",\n        \"organization_names\",\n        columns_for_role(:producer) |> Enum.sort(),\n        columns_for_role(:reuser) |> Enum.sort()\n      ]\n      |> List.flatten()\n\n    {:ok, conn} =\n      DB.Repo.transaction(\n        fn ->\n          Ecto.Adapters.SQL.stream(DB.Repo, query)\n          |> Stream.map(&build_csv_rows(&1, csv_header))\n          |> send_csv_response(filename, csv_header, conn)\n        end,\n        timeout: :timer.seconds(30)\n      )\n\n    conn\n  end\n\n  defp columns_for_role(role) do\n    more_columns =\n      Transport.NotificationReason.subscribable_reasons_for_role(role)\n      |> Enum.map(&\"#{role}_#{&1}\")\n      |> Enum.sort()\n\n    [\"is_#{role}\" | more_columns]\n  end\n\n  defp send_csv_response(chunks, filename, csv_header, %Plug.Conn{} = conn) do\n    {:ok, conn} =\n      conn\n      |> put_resp_content_type(\"text/csv\")\n      |> put_resp_header(\"content-disposition\", ~s|attachment; filename=\"#{filename}\"|)\n      |> send_chunked(:ok)\n      |> send_csv_chunk([csv_header])\n\n    Enum.reduce_while(chunks, conn, fn data, conn ->\n      case send_csv_chunk(conn, data) do\n        {:ok, conn} -> {:cont, conn}\n        {:error, :closed} -> {:halt, conn}\n      end\n    end)\n  end\n\n  defp send_csv_chunk(%Plug.Conn{} = conn, data) do\n    chunk(conn, data |> NimbleCSV.RFC4180.dump_to_iodata())\n  end\n\n  defp build_csv_rows(%Postgrex.Result{rows: rows, columns: columns}, csv_header) do\n    Enum.map(rows, fn row ->\n      build_csv_row(csv_header, Enum.zip(columns, row) |> Enum.into(%{}))\n    end)\n  end\n\n  defp build_csv_row(csv_header, row) do\n    row = row |> decrypt_columns() |> add_roles_columns()\n\n    # Build a row following same order as the CSV header\n    Enum.map(csv_header, &Map.fetch!(row, &1))\n  end\n\n  defp decrypt_columns(contact_row) do\n    contact_row\n    |> Map.update!(\"email\", &decrypt!/1)\n    |> Map.update!(\"phone_number\", &decrypt!/1)\n  end\n\n  defp decrypt!(nil), do: nil\n  defp decrypt!(value), do: Transport.Vault.decrypt!(value)\n\n  defp add_roles_columns(%{\"producer_reasons\" => _, \"reuser_reasons\" => _} = row) do\n    row |> add_producer_columns() |> add_reuser_columns()\n  end\n\n  defp add_producer_columns(%{\"producer_reasons\" => producer_reasons} = row) do\n    Enum.reduce(Transport.NotificationReason.subscribable_reasons_for_role(:producer), row, fn reason, row ->\n      Map.put(row, \"producer_#{reason}\", to_string(reason) in producer_reasons)\n    end)\n  end\n\n  defp add_reuser_columns(%{\"reuser_reasons\" => reuser_reasons} = row) do\n    Enum.reduce(Transport.NotificationReason.subscribable_reasons_for_role(:reuser), row, fn reason, row ->\n      Map.put(row, \"reuser_#{reason}\", to_string(reason) in reuser_reasons)\n    end)\n  end\n\n  defp render_form(%Plug.Conn{assigns: assigns} = conn) do\n    contact_id = Map.get(assigns, :contact_id)\n\n    conn\n    |> assign(:existing_organizations, contact_values_for_field(:organization))\n    |> assign(:existing_job_titles, contact_values_for_field(:job_title))\n    |> assign(:datasets_datalist, datasets_datalist())\n    |> assign(:notification_subscriptions, notification_subscriptions_for_contact(contact_id))\n    |> assign(:notifications, notifications_for_contact(contact_id))\n    |> assign(:notifications_months_limit, notifications_months_limit())\n    |> render(\"form.html\")\n  end\n\n  @spec render_index(Ecto.Queryable.t(), Plug.Conn.t(), map()) :: Plug.Conn.t()\n  defp render_index(contacts, conn, params) do\n    config = make_pagination_config(params)\n\n    paginated_result = contacts |> DB.Repo.paginate(page: config.page_number)\n    paginated_contacts = paginated_result |> Map.put(:entries, paginated_result.entries)\n\n    conn\n    |> assign(:contacts, paginated_contacts)\n    |> assign(:search_datalist, search_datalist())\n    |> render(\"index.html\")\n  end\n\n  def search_datalist do\n    :organization\n    |> contact_values_for_field()\n    |> Enum.concat(contact_values_for_field(:last_name))\n    |> Enum.sort()\n  end\n\n  defp contact_values_for_field(field) when is_atom(field) do\n    DB.Contact.base_query()\n    |> select([contact: c], field(c, ^field))\n    |> where([contact: c], not is_nil(field(c, ^field)))\n    |> order_by([contact: c], asc: ^field)\n    |> distinct(true)\n    |> DB.Repo.all()\n  end\n\n  def datasets_datalist do\n    DB.Dataset.base_with_hidden_datasets()\n    |> select([dataset: d], [:id, :custom_title, :type, :is_hidden])\n    |> order_by([dataset: d], asc: d.custom_title)\n    |> distinct(true)\n    |> DB.Repo.all()\n  end\n\n  defp notification_subscriptions_for_contact(contact_id) when is_binary(contact_id) do\n    DB.NotificationSubscription.base_query()\n    |> preload(:dataset)\n    |> where([notification_subscription: ns], ns.contact_id == ^contact_id)\n    |> DB.Repo.all()\n  end\n\n  defp notification_subscriptions_for_contact(nil), do: []\n\n  defp notifications_for_contact(contact_id) when is_binary(contact_id) do\n    datetime_limit = DateTime.utc_now() |> DateTime.add(-30 * notifications_months_limit(), :day)\n\n    DB.Notification.base_query()\n    |> preload(:dataset)\n    |> where([notification: n], n.contact_id == ^contact_id)\n    |> where([notification: n], n.inserted_at >= ^datetime_limit)\n    |> order_by([notification: n], desc: n.inserted_at)\n    |> DB.Repo.all()\n  end\n\n  defp notifications_for_contact(nil), do: []\n\n  @spec notifications_months_limit :: pos_integer()\n  def notifications_months_limit, do: 6\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/backoffice/dashboard_controller.ex",
    "content": "defmodule TransportWeb.Backoffice.DashboardController do\n  use TransportWeb, :controller\n  require Logger\n\n  @dashboard_import_count_sql File.read!(\"lib/queries/dashboard_import_count.sql\")\n\n  def index(conn, _params) do\n    data =\n      @dashboard_import_count_sql\n      |> DB.Repo.query!()\n\n    import_count_by_dataset_and_by_day =\n      data.rows\n      |> Enum.group_by(\n        fn [dataset_id, _, _, _] -> dataset_id end,\n        fn [_, date, import_count, success_count] -> {date, import_count, success_count} end\n      )\n      |> Enum.sort_by(fn {key, _value} -> key end)\n\n    conn\n    |> render(\"index.html\", import_count_by_dataset_and_by_day: import_count_by_dataset_and_by_day)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/backoffice/dataset_controller.ex",
    "content": "defmodule TransportWeb.Backoffice.DatasetController do\n  use TransportWeb, :controller\n  alias Datagouvfr.Client.Datasets\n\n  alias DB.{Dataset, ImportDataWorker, Repo}\n  alias Transport.{ImportData, ImportDataWorker}\n  import Ecto.Query\n  require Logger\n\n  @spec post(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def post(%Plug.Conn{} = conn, %{\"form\" => form_params} = params) do\n    msgs = %{\n      success: %{\n        \"edit\" => dgettext(\"backoffice_dataset\", \"Dataset edited with success\"),\n        \"new\" => dgettext(\"backoffice_dataset\", \"Dataset added with success\")\n      },\n      error: %{\n        \"edit\" => dgettext(\"backoffice_dataset\", \"Could not edit dataset\"),\n        \"new\" => dgettext(\"backoffice_dataset\", \"Could not add dataset\")\n      }\n    }\n\n    dataset_datagouv_id = Datasets.get_id_from_url(form_params[\"url\"])\n\n    form_params =\n      case Map.get(params, \"id\") do\n        # will create a new dataset\n        nil -> form_params\n        # will update an existing dataset\n        dataset_id -> Map.put(form_params, \"dataset_id\", dataset_id)\n      end\n\n    form_params =\n      form_params\n      |> transform_custom_tags_to_list()\n      |> transform_legal_owners_aom_to_list()\n      |> transform_legal_owners_region_to_list()\n      |> transform_declarative_spatial_areas_to_list()\n      |> transform_offers_to_list()\n      |> transform_dataset_subtypes_to_list()\n\n    with datagouv_id when not is_nil(datagouv_id) <- dataset_datagouv_id,\n         {:ok, dg_dataset} <- ImportData.import_from_data_gouv(datagouv_id, form_params[\"type\"]),\n         complete_params <- Map.merge(form_params, dg_dataset),\n         {:ok, changeset} <- Dataset.changeset(complete_params),\n         {:ok, dataset} <- insert_dataset(changeset) do\n      Transport.DatasetIndex.refresh()\n\n      dataset\n      |> Dataset.validate()\n      |> flash(\n        conn,\n        [\n          msgs.success[form_params[\"action\"]],\n          \". \",\n          Phoenix.HTML.Link.link(\n            dgettext(\"backoffice_dataset\", \"Check the dataset page\"),\n            to: dataset_path(conn, :details, dataset_datagouv_id)\n          )\n        ],\n        msgs.error[form_params[\"action\"]]\n      )\n    else\n      {:error, error} ->\n        conn\n        |> put_flash(:error, msgs.error[params[\"action\"]])\n        |> put_flash(:error, error)\n\n      error ->\n        unless is_nil(error), do: Logger.error(error)\n\n        conn\n        |> put_flash(:error, msgs.error[params[\"action\"]])\n        |> put_flash(:error, \"Unable to get datagouv id\")\n    end\n    |> redirect_to_index()\n  end\n\n  defp transform_custom_tags_to_list(form_params) do\n    custom_tags = for {\"custom_tags\" <> _, tag} <- form_params, do: tag\n    Map.put(form_params, \"custom_tags\", custom_tags)\n  end\n\n  defp transform_legal_owners_region_to_list(form_params) do\n    regions = for {\"legal_owners_region\" <> _, region_id} <- form_params, do: region_id |> String.to_integer()\n    Map.put(form_params, \"legal_owners_region\", regions)\n  end\n\n  defp transform_legal_owners_aom_to_list(form_params) do\n    aoms = for {\"legal_owners_aom\" <> _, aom_id} <- form_params, do: aom_id |> String.to_integer()\n    Map.put(form_params, \"legal_owners_aom\", aoms)\n  end\n\n  defp transform_declarative_spatial_areas_to_list(form_params) do\n    declarative_spatial_areas =\n      for {\"declarative_spatial_area\" <> _, division_id} <- form_params, do: division_id |> String.to_integer()\n\n    Map.put(form_params, \"declarative_spatial_areas\", declarative_spatial_areas)\n  end\n\n  defp transform_offers_to_list(form_params) do\n    offers = for {\"offers\" <> _, offer_id} <- form_params, do: offer_id |> String.to_integer()\n    Map.put(form_params, \"offers\", offers)\n  end\n\n  defp transform_dataset_subtypes_to_list(form_params) do\n    dataset_subtypes = for {\"dataset_subtypes\" <> _, slug} <- form_params, do: slug\n    Map.put(form_params, \"dataset_subtypes\", dataset_subtypes)\n  end\n\n  @spec insert_dataset(Ecto.Changeset.t()) :: {:ok, Dataset.t()} | {:error, binary}\n  defp insert_dataset(changeset) do\n    Repo.insert_or_update(changeset)\n  rescue\n    exception in Ecto.ConstraintError ->\n      Logger.error(\"Constraint violation while inserting dataset: #{inspect(exception)}\")\n\n      {:error, \"Problem while inserting the dataset in the database,\n       a constraint has not been respected : '#{exception.constraint}'\"}\n  end\n\n  @spec import_from_data_gouv_fr(Plug.Conn.t(), map) :: Plug.Conn.t()\n  def import_from_data_gouv_fr(%Plug.Conn{} = conn, %{\"id\" => id, \"stay_on_page\" => \"true\"}),\n    do: redirect(import_from_data_gouv_fr_aux(conn, id), to: backoffice_page_path(conn, :edit, id))\n\n  def import_from_data_gouv_fr(%Plug.Conn{} = conn, %{\"id\" => id}),\n    do: redirect_to_index(import_from_data_gouv_fr_aux(conn, id))\n\n  @spec import_from_data_gouv_fr_aux(Plug.Conn.t(), integer()) :: Plug.Conn.t()\n  defp import_from_data_gouv_fr_aux(conn, id) do\n    Dataset\n    |> Repo.get(id)\n    |> import_data\n    |> flash(\n      conn,\n      dgettext(\"backoffice_dataset\", \"Dataset imported with success\"),\n      dgettext(\"backoffice_dataset\", \"Dataset not imported\")\n    )\n  end\n\n  @spec delete(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def delete(%Plug.Conn{} = conn, %{\"id\" => id}) do\n    Dataset\n    |> Repo.get(id)\n    |> Repo.delete()\n    |> flash(\n      conn,\n      dgettext(\"backoffice_dataset\", \"Dataset unlisted\"),\n      dgettext(\"backoffice_dataset\", \"Could not unlist dataset\")\n    )\n    |> redirect_to_index()\n  end\n\n  @spec import_validate_all(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def import_validate_all(%Plug.Conn{} = conn, _args) do\n    ImportDataWorker.import_validate_all()\n\n    conn\n    |> put_flash(\n      :info,\n      dgettext(\"backoffice_dataset\", \"Import and validation of all datasets have been launch\")\n    )\n    |> redirect_to_index()\n  end\n\n  @spec force_validate_gtfs_transport(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def force_validate_gtfs_transport(%Plug.Conn{} = conn, _args) do\n    ImportDataWorker.force_validate_gtfs_transport()\n\n    conn\n    |> put_flash(\n      :info,\n      dgettext(\n        \"backoffice_dataset\",\n        \"GTFS Transport Validator has been force launched on all GTFS resources\"\n      )\n    )\n    |> redirect_to_index()\n  end\n\n  def resource_related_create(%Plug.Conn{} = conn, %{\"id\" => dataset_id} = params) do\n    src_id = String.to_integer(params[\"resource_src_id\"])\n    dst_id = String.to_integer(params[\"resource_dst_id\"])\n    dataset = DB.Repo.get!(DB.Dataset, dataset_id) |> DB.Repo.preload(:resources)\n    resource_ids = dataset.resources |> MapSet.new(& &1.id)\n\n    {flash_type, flash_msg} =\n      cond do\n        src_id not in resource_ids or dst_id not in resource_ids ->\n          {:error, \"Les ressources doivent appartenir au jeu de données\"}\n\n        src_id == dst_id ->\n          {:error, \"Les deux ressources doivent être différentes\"}\n\n        true ->\n          reason = String.to_existing_atom(params[\"reason\"])\n\n          %DB.ResourceRelated{}\n          |> Ecto.Changeset.change(%{resource_src_id: src_id, resource_dst_id: dst_id, reason: reason})\n          |> DB.Repo.insert(on_conflict: :nothing, conflict_target: [:resource_src_id, :resource_dst_id, :reason])\n\n          {:info, \"Les ressources ont été associées\"}\n      end\n\n    conn\n    |> put_flash(flash_type, flash_msg)\n    |> redirect(to: backoffice_page_path(conn, :edit, dataset_id))\n  end\n\n  def resource_related_delete(%Plug.Conn{} = conn, %{\"id\" => dataset_id} = params) do\n    src_id = String.to_integer(params[\"resource_src_id\"])\n    dst_id = String.to_integer(params[\"resource_dst_id\"])\n    reason = String.to_existing_atom(params[\"reason\"])\n    dataset = DB.Repo.get!(DB.Dataset, dataset_id) |> DB.Repo.preload(:resources)\n    resource_ids = dataset.resources |> MapSet.new(& &1.id)\n\n    {flash_type, flash_msg} =\n      if src_id in resource_ids and dst_id in resource_ids do\n        DB.Repo.delete_all(\n          from(rr in DB.ResourceRelated,\n            where: rr.resource_src_id == ^src_id and rr.resource_dst_id == ^dst_id and rr.reason == ^reason\n          )\n        )\n\n        {:info, \"L'association a été supprimée\"}\n      else\n        {:error, \"Les ressources doivent appartenir au jeu de données\"}\n      end\n\n    conn\n    |> put_flash(flash_type, flash_msg)\n    |> redirect(to: backoffice_page_path(conn, :edit, dataset_id))\n  end\n\n  def resource_format_override(%Plug.Conn{} = conn, params) do\n    resource = DB.Repo.get!(DB.Resource, params[\"resource_id\"])\n    dataset = DB.Repo.get!(DB.Dataset, params[\"id\"])\n\n    resource\n    |> Ecto.Changeset.change(%{\n      format: params[\"format_override\"],\n      format_override: params[\"format_override\"]\n    })\n    |> DB.Repo.update!()\n\n    conn\n    |> put_flash(:info, \"Le format de la ressource a été changé\")\n    |> redirect(to: backoffice_page_path(conn, :edit, dataset.id))\n  end\n\n  ## Private functions\n\n  @spec flash(:ok | {:ok, any} | {:error, any}, Plug.Conn.t(), iodata(), iodata()) :: Plug.Conn.t()\n  defp flash({:ok, _message}, conn, ok_message, err_message),\n    do: flash(:ok, conn, ok_message, err_message)\n\n  defp flash(:ok, conn, ok_message, _err_message), do: put_flash(conn, :info, ok_message)\n\n  defp flash({:error, %{errors: errors}}, conn, _ok, err_message) do\n    errors_messages = for {_, {m, _}} <- errors, do: m\n    messages = (errors_messages ++ [err_message]) |> Enum.uniq()\n    put_flash(conn, :error, Enum.join(messages, \", \"))\n  end\n\n  defp flash({:error, message}, conn, _ok, err),\n    do: put_flash(conn, :error, \"#{err} (#{message})\")\n\n  @spec import_data(Dataset.t() | nil) :: any()\n  defp import_data(%Dataset{} = dataset), do: ImportData.import_dataset_logged(dataset)\n  defp import_data(nil), do: {:error, dgettext(\"backoffice\", \"Unable to find dataset\")}\n\n  defp redirect_to_index(conn),\n    do: redirect(conn, to: backoffice_page_path(conn, :index, conn.params |> Map.take([\"q\"])))\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/backoffice/gtfs_export_controller.ex",
    "content": "defmodule TransportWeb.Backoffice.GTFSExportController do\n  use TransportWeb, :controller\n  require Logger\n\n  def export(%Plug.Conn{} = conn, _params) do\n    conn =\n      conn\n      |> put_resp_content_type(\"text/csv\")\n      |> put_resp_header(\n        \"content-disposition\",\n        \"attachment; filename=\\\"gtfs_stops_france_export_#{Date.utc_today() |> Date.to_iso8601()}.csv\\\"\"\n      )\n      |> send_chunked(:ok)\n\n    [Transport.GTFSExportStops.export_headers()]\n    |> send_csv_data_chunk(conn)\n\n    Transport.GTFSExportStops.data_import_ids()\n    |> Enum.chunk_every(25)\n    |> Enum.each(fn ids ->\n      ids\n      |> Transport.GTFSExportStops.export_stops_report()\n      |> send_csv_data_chunk(conn)\n    end)\n\n    conn\n  end\n\n  def send_csv_data_chunk(data, conn) do\n    chunk(conn, data |> NimbleCSV.RFC4180.dump_to_iodata())\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/backoffice/notification_subscription_controller.ex",
    "content": "defmodule TransportWeb.Backoffice.NotificationSubscriptionController do\n  use TransportWeb, :controller\n  import Ecto.Query\n  @target_html_anchor \"#notification_subscriptions\"\n\n  @doc \"\"\"\n  Creates a notification subscription:\n  - for reasons related to a specific dataset\n  - OR for reasons that are not related to datasets.\n  \"\"\"\n  def create(\n        %Plug.Conn{} = conn,\n        %{\"contact_id\" => contact_id, \"dataset_id\" => dataset_id, \"redirect_location\" => _} = params\n      ) do\n    existing_reasons = reasons_for_contact_and_dataset(params)\n\n    params\n    |> picked_reasons()\n    |> Enum.reject(&(&1 in existing_reasons))\n    |> Enum.each(fn reason ->\n      %{contact_id: contact_id, dataset_id: dataset_id, reason: reason, source: :admin, role: :producer}\n      |> DB.NotificationSubscription.insert!()\n    end)\n\n    conn\n    |> put_flash(:info, \"L'abonnement a été créé\")\n    |> redirect(to: redirect_location(conn, params))\n  end\n\n  def create(%Plug.Conn{} = conn, %{\"contact_id\" => contact_id, \"redirect_location\" => \"contact\"} = params) do\n    possible_reasons = Transport.NotificationReason.subscribable_platform_wide_reasons(:producer)\n    picked_reasons = params |> picked_reasons()\n\n    DB.NotificationSubscription.base_query()\n    |> where(\n      [notification_subscription: ns],\n      ns.reason not in ^picked_reasons and ns.contact_id == ^contact_id and ns.reason in ^possible_reasons\n    )\n    |> DB.Repo.delete_all()\n\n    existing_reasons = platform_wide_reasons_for_contact(params)\n\n    picked_reasons\n    |> Enum.reject(&(&1 in existing_reasons))\n    |> Enum.each(fn reason ->\n      %{contact_id: contact_id, reason: reason, dataset_id: nil, source: :admin, role: :producer}\n      |> DB.NotificationSubscription.insert!()\n    end)\n\n    conn\n    |> put_flash(:info, \"Abonnements mis à jour\")\n    |> redirect(to: redirect_location(conn, params))\n  end\n\n  def delete(%Plug.Conn{} = conn, %{\"id\" => id, \"redirect_location\" => _} = params) do\n    notification_subscription = DB.NotificationSubscription |> DB.Repo.get!(id) |> DB.Repo.delete!()\n\n    conn\n    |> put_flash(:info, \"L'abonnement a été supprimé\")\n    |> redirect(to: redirect_location(conn, params, notification_subscription))\n  end\n\n  def delete_for_contact_and_dataset(\n        %Plug.Conn{} = conn,\n        %{\"contact_id\" => contact_id, \"dataset_id\" => dataset_id, \"redirect_location\" => _} = params\n      ) do\n    DB.NotificationSubscription.base_query()\n    |> where([notification_subscription: ns], ns.dataset_id == ^dataset_id and ns.contact_id == ^contact_id)\n    |> DB.Repo.delete_all()\n\n    conn\n    |> put_flash(:info, \"Les abonnements ont été supprimés\")\n    |> redirect(to: redirect_location(conn, params))\n  end\n\n  defp picked_reasons(%{} = params) do\n    possible_reasons = Transport.NotificationReason.all_reasons() |> Enum.map(&to_string/1)\n\n    params |> Map.filter(fn {k, v} -> k in possible_reasons and v == \"true\" end) |> Map.keys()\n  end\n\n  defp reasons_for_contact_and_dataset(%{\"contact_id\" => contact_id, \"dataset_id\" => dataset_id}) do\n    DB.NotificationSubscription.base_query()\n    |> where([notification_subscription: ns], ns.dataset_id == ^dataset_id and ns.contact_id == ^contact_id)\n    |> existing_reasons()\n  end\n\n  defp platform_wide_reasons_for_contact(%{\"contact_id\" => contact_id}) do\n    DB.NotificationSubscription.base_query()\n    |> where([notification_subscription: ns], is_nil(ns.dataset_id) and ns.contact_id == ^contact_id)\n    |> existing_reasons()\n  end\n\n  defp existing_reasons(%Ecto.Query{} = query) do\n    query\n    |> select([notification_subscription: ns], ns.reason)\n    |> DB.Repo.all()\n    |> Enum.map(&to_string/1)\n  end\n\n  defp redirect_location(\n         %Plug.Conn{} = conn,\n         %{\"redirect_location\" => redirect_location} = params,\n         %DB.NotificationSubscription{} = notification_subscription\n       ) do\n    key = redirect_location <> \"_id\"\n    redirect_location(conn, Map.put(params, key, Map.fetch!(notification_subscription, String.to_existing_atom(key))))\n  end\n\n  defp redirect_location(%Plug.Conn{} = conn, %{\"redirect_location\" => \"contact\", \"contact_id\" => contact_id}) do\n    backoffice_contact_path(conn, :edit, contact_id) <> @target_html_anchor\n  end\n\n  defp redirect_location(%Plug.Conn{} = conn, %{\"redirect_location\" => \"dataset\", \"dataset_id\" => dataset_id}) do\n    backoffice_page_path(conn, :edit, dataset_id) <> @target_html_anchor\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/backoffice/page_controller.ex",
    "content": "defmodule TransportWeb.Backoffice.PageController do\n  use TransportWeb, :controller\n\n  alias DB.{Dataset, LogsImport, Region, Repo, Resource}\n  import Ecto.Query\n  require Logger\n\n  def end_dates_query do\n    DB.Dataset.base_with_hidden_datasets()\n    |> DB.Dataset.join_from_dataset_to_metadata(\n      Enum.map(Transport.ValidatorsSelection.validators_for_feature(:backoffice_page_controller), & &1.validator_name())\n    )\n    |> where([metadata: m], fragment(\"?->>'end_date' IS NOT NULL\", m.metadata))\n    |> group_by([dataset: d], d.id)\n    |> select([dataset: d, metadata: m], %{dataset_id: d.id, end_date: fragment(\"max(?->>'end_date')\", m.metadata)})\n  end\n\n  @spec index(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def index(%Plug.Conn{} = conn, %{\"q\" => q} = params) when q != \"\" do\n    conn = assign(conn, :q, q)\n\n    params\n    |> Dataset.list_datasets_no_order()\n    |> DB.Dataset.include_hidden_datasets()\n    |> join(:left, [d], end_date in subquery(end_dates_query()), on: d.id == end_date.dataset_id, as: :end_dates)\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  def index(%Plug.Conn{} = conn, %{\"filter\" => \"outdated\"} = params) do\n    dt = Date.utc_today() |> Date.to_iso8601()\n\n    sub = end_dates_query() |> having([metadata: m], fragment(\"max(?->>'end_date') <= ?\", m.metadata, ^dt))\n\n    DB.Dataset.base_with_hidden_datasets()\n    |> join(:right, [d], end_date in subquery(sub), on: d.id == end_date.dataset_id, as: :end_dates)\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  def index(%Plug.Conn{} = conn, %{\"filter\" => \"not_compliant\"} = params) do\n    sub =\n      end_dates_query()\n      |> having([metadata: m], fragment(\"MAX(CAST(?->'issues_count'->>'UnloadableModel' as INT)) > 0\", m.metadata))\n\n    DB.Dataset.base_with_hidden_datasets()\n    |> join(:inner, [d], end_date in subquery(sub), on: d.id == end_date.dataset_id, as: :end_dates)\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  def index(%Plug.Conn{} = conn, %{\"filter\" => \"licence_not_specified\"} = params) do\n    DB.Dataset.base_with_hidden_datasets()\n    |> join(:left, [d], end_date in subquery(end_dates_query()), on: d.id == end_date.dataset_id, as: :end_dates)\n    |> where([d], d.licence == \"notspecified\")\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  def index(%Plug.Conn{} = conn, %{\"filter\" => \"multi_gtfs\"} = params) do\n    resources =\n      from(r in Resource,\n        where: r.format == \"GTFS\",\n        group_by: r.dataset_id,\n        select: %{dataset_id: r.dataset_id},\n        having: count(r.dataset_id) > 1\n      )\n\n    DB.Dataset.base_with_hidden_datasets()\n    |> join_left_with_end_dates()\n    |> join(:inner, [dataset: d], r in subquery(resources), on: d.id == r.dataset_id)\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  def index(%Plug.Conn{} = conn, %{\"filter\" => \"resource_not_available\"} = params) do\n    resources =\n      from(r in Resource,\n        where: r.is_available == false,\n        group_by: r.dataset_id,\n        select: %{dataset_id: r.dataset_id}\n      )\n\n    DB.Dataset.base_with_hidden_datasets()\n    |> join_left_with_end_dates()\n    |> join(:inner, [dataset: d], r in subquery(resources), on: d.id == r.dataset_id)\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  def index(%Plug.Conn{} = conn, %{\"filter\" => \"resource_under_90_availability\"} = params) do\n    datasets_id = dataset_with_resource_under_90_availability()\n\n    DB.Dataset.base_with_hidden_datasets()\n    |> join_left_with_end_dates()\n    |> where([dataset: d], d.id in ^datasets_id)\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  def index(%Plug.Conn{} = conn, %{\"filter\" => \"archived\"} = params) do\n    Dataset.archived()\n    |> join_left_with_end_dates()\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  def index(%Plug.Conn{} = conn, %{\"filter\" => \"hidden\"} = params) do\n    DB.Dataset.hidden()\n    |> join_left_with_end_dates()\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  def index(%Plug.Conn{} = conn, %{\"filter\" => \"inactive\"} = params) do\n    Dataset.inactive()\n    |> join_left_with_end_dates()\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  def index(%Plug.Conn{} = conn, params) do\n    DB.Dataset.base_with_hidden_datasets()\n    |> join(:left, [d], end_date in subquery(end_dates_query()), on: d.id == end_date.dataset_id, as: :end_dates)\n    |> query_order_by_from_params(params)\n    |> render_index(conn, params)\n  end\n\n  defp get_regions_for_select do\n    Region |> where([r], r.nom != \"National\") |> select([r], {r.nom, r.id}) |> Repo.all()\n  end\n\n  def new(%Plug.Conn{} = conn, _) do\n    conn\n    |> assign(:dataset, nil)\n    |> assign(:dataset_types, Dataset.types())\n    |> assign(:regions, get_regions_for_select())\n    |> render(\"form_dataset.html\")\n  end\n\n  def edit(%Plug.Conn{} = conn, %{\"id\" => dataset_id}) do\n    conn =\n      load_dataset(dataset_id)\n      |> case do\n        nil -> put_flash(conn, :error, dgettext(\"backoffice\", \"Unable to find dataset\"))\n        dataset -> assign(conn, :dataset, dataset)\n      end\n\n    reuser_subscriptions =\n      conn.assigns[:dataset].notification_subscriptions\n      |> Enum.filter(fn sub -> sub.role == :reuser end)\n\n    reusers_count =\n      reuser_subscriptions\n      |> Enum.uniq_by(& &1.contact)\n      |> Enum.count()\n\n    conn\n    |> assign(:dataset_id, dataset_id)\n    |> assign(:dataset_types, Dataset.types())\n    |> assign(:regions, get_regions_for_select())\n    |> assign(:notifications_sent, notifications_sent(conn.assigns[:dataset]))\n    |> assign(:notifications_last_nb_days, notifications_last_nb_days())\n    |> assign(:resources_with_history, DB.Dataset.last_resource_history(dataset_id))\n    |> assign(:contacts_datalist, contacts_datalist())\n    |> assign(:contacts_in_org, contacts_in_org(conn.assigns[:dataset]))\n    |> assign(:subscriptions_by_producer, subscriptions_by_producer(conn.assigns[:dataset]))\n    |> assign(:reusers_count, reusers_count)\n    |> assign(:reuser_subscriptions_count, reuser_subscriptions |> Enum.count())\n    |> assign(:resource_formats, resource_formats())\n    |> assign(:resources, DB.Dataset.official_resources(conn.assigns[:dataset]))\n    |> assign(\n      :resource_related,\n      conn.assigns[:dataset].resources |> Enum.flat_map(& &1.resources_related)\n    )\n    |> assign(\n      :import_logs,\n      LogsImport\n      |> where([v], v.dataset_id == ^dataset_id)\n      |> order_by([v], desc: v.timestamp)\n      |> Repo.all()\n    )\n    |> render(\"form_dataset.html\")\n  end\n\n  def load_dataset(dataset_id) do\n    DB.Dataset\n    |> preload([\n      :notification_subscriptions,\n      [notification_subscriptions: :contact],\n      [organization_object: :contacts],\n      :legal_owners_aom,\n      :legal_owners_region,\n      :declarative_spatial_areas,\n      :offers,\n      :dataset_subtypes,\n      [resources: [resources_related: [:resource_src, :resource_dst]]]\n    ])\n    |> Repo.get(dataset_id)\n  end\n\n  defp resource_formats do\n    DB.Resource.base_query()\n    |> select([r], r.format)\n    |> group_by([r], r.format)\n    |> order_by([r], {:desc, count(r.format)})\n    |> DB.Repo.all()\n  end\n\n  def subscriptions_by_producer(%DB.Dataset{} = dataset) do\n    dataset.notification_subscriptions\n    |> Enum.filter(fn sub -> sub.role == :producer end)\n    |> Enum.sort_by(&{&1.contact.last_name, &1.reason})\n    |> Enum.group_by(& &1.contact)\n    |> Map.to_list()\n    |> Enum.sort_by(fn {contact, _} -> contact.last_name end)\n  end\n\n  def contacts_in_org(%DB.Dataset{organization_object: %DB.Organization{} = organization_object}) do\n    Enum.sort_by(organization_object.contacts, &DB.Contact.display_name/1)\n  end\n\n  def contacts_in_org(_), do: []\n\n  defp contacts_datalist do\n    DB.Contact.base_query()\n    |> select([contact: c], [:first_name, :last_name, :mailing_list_title, :organization, :id])\n    |> DB.Repo.all()\n  end\n\n  defp notifications_last_nb_days, do: 30\n\n  def notifications_sent(nil), do: []\n\n  def notifications_sent(%Dataset{id: dataset_id}) do\n    datetime_limit = DateTime.utc_now() |> DateTime.add(-notifications_last_nb_days(), :day)\n\n    DB.Notification\n    |> where([n], n.dataset_id == ^dataset_id and n.inserted_at >= ^datetime_limit)\n    |> select([n], [:email, :reason, :inserted_at])\n    |> DB.Repo.all()\n    |> Enum.group_by(\n      fn %DB.Notification{reason: reason, inserted_at: inserted_at} ->\n        {reason, %{DateTime.truncate(inserted_at, :second) | second: 0}}\n      end,\n      fn %DB.Notification{email: email} -> email end\n    )\n    |> Enum.sort_by(fn {{_reason, %DateTime{} = dt}, _emails} -> dt end, {:desc, DateTime})\n  end\n\n  def dataset_with_resource_under_90_availability do\n    query = \"\"\"\n    with down_ranges as (select *, tsrange(ru.start, ru.end) as down_range, tsrange(now()::timestamp - interval '30 day', now()::timestamp) as compute_range from resource_unavailability ru),\n    availability as (select resource_id, r.dataset_id, 1. - (EXTRACT(EPOCH from sum(upper(down_range * compute_range) - lower(down_range * compute_range))) / EXTRACT(EPOCH from interval '30 day')) as availability from down_ranges\n    left join resource r on r.id = resource_id\n    group by resource_id, dataset_id)\n    select distinct dataset_id from availability a\n    left join dataset d on a.dataset_id = d.id\n    where availability <= 0.9 and d.is_active = true\n    order by dataset_id;\n    \"\"\"\n\n    %{rows: rows} = Ecto.Adapters.SQL.query!(DB.Repo, query)\n\n    List.flatten(rows)\n  end\n\n  @spec render_index(Ecto.Queryable.t(), Plug.Conn.t(), map()) :: Plug.Conn.t()\n  defp render_index(datasets, conn, params) do\n    config = make_pagination_config(params)\n\n    paginated_result =\n      datasets\n      |> preload([:resources])\n      |> select([dataset: d, end_dates: ed], {d, {ed.dataset_id, ed.end_date}})\n      |> Repo.paginate(page: config.page_number)\n\n    {datasets, raw_end_dates} = paginated_result.entries |> Enum.unzip()\n    paginated_datasets = paginated_result |> Map.put(:entries, datasets)\n    end_dates = raw_end_dates |> Enum.into(%{})\n\n    conn\n    |> assign(:regions, Region |> where([r], r.nom != \"National\") |> Repo.all())\n    |> assign(:datasets, paginated_datasets)\n    |> assign(:end_dates, end_dates)\n    |> assign(:dataset_types, Dataset.types())\n    |> assign(:order_by, get_order_by_from_params(params))\n    |> render(\"index.html\")\n  end\n\n  @spec get_order_by_from_params(map) :: %{direction: atom, field: atom}\n  defp get_order_by_from_params(params) do\n    dir =\n      case params do\n        %{\"dir\" => \"desc\"} -> :desc\n        _ -> :asc\n      end\n\n    order_by =\n      case params do\n        %{\"order_by\" => param} when param in [\"end_date\", \"custom_title\", \"organization\"] ->\n          String.to_existing_atom(param)\n\n        _ ->\n          nil\n      end\n\n    %{direction: dir, field: order_by}\n  end\n\n  defp join_left_with_end_dates(%Ecto.Query{} = query) do\n    join(query, :left, [dataset: d], end_date in subquery(end_dates_query()),\n      on: d.id == end_date.dataset_id,\n      as: :end_dates\n    )\n  end\n\n  @spec query_order_by_from_params(any, map) :: any\n  defp query_order_by_from_params(query, params) do\n    %{direction: dir, field: field} = get_order_by_from_params(params)\n\n    case field do\n      :end_date -> order_by(query, [end_dates: ed], {^dir, field(ed, :end_date)})\n      :custom_title -> order_by(query, [d, r], {^dir, field(d, :custom_title)})\n      :organization -> order_by(query, [d, r], {^dir, field(d, :organization)})\n      _ -> query\n    end\n  end\n\n  def clear_proxy_config(%Plug.Conn{} = conn, _) do\n    Application.fetch_env!(:transport, :unlock_config_fetcher).clear_config_cache!()\n\n    conn |> text(\"OK\")\n  end\n\n  def download_datasets_csv(%Plug.Conn{} = conn, _) do\n    %Postgrex.Result{columns: columns, rows: rows} = datasets_query()\n    filename = \"datasets-#{Date.utc_today() |> Date.to_iso8601()}.csv\"\n\n    content =\n      rows\n      |> Enum.map(fn row -> columns |> Enum.zip(row) |> Enum.into(%{}) end)\n      |> CSV.encode(headers: columns)\n      |> Enum.to_list()\n      |> to_string()\n\n    conn\n    |> put_resp_content_type(\"text/csv\")\n    |> put_resp_header(\"content-disposition\", ~s(attachment; filename=\"#{filename}\"))\n    |> send_resp(200, content)\n  end\n\n  def download_resources_csv(%Plug.Conn{} = conn, _) do\n    %Postgrex.Result{columns: columns, rows: rows} = resources_query()\n    filename = \"ressources-#{Date.utc_today() |> Date.to_iso8601()}.csv\"\n\n    content =\n      rows\n      |> Enum.map(fn row -> columns |> Enum.zip(row) |> Enum.into(%{}) end)\n      |> CSV.encode(headers: columns)\n      |> Enum.to_list()\n      |> to_string()\n\n    conn\n    |> put_resp_content_type(\"text/csv\")\n    |> put_resp_header(\"content-disposition\", ~s(attachment; filename=\"#{filename}\"))\n    |> send_resp(200, content)\n  end\n\n  defp datasets_query do\n    DB.Repo\n    |> Ecto.Adapters.SQL.query!(\"\"\"\n    select\n      d.id id_dataset,\n      d.custom_title dataset_titre,\n      'https://transport.data.gouv.fr/datasets/' || d.slug dataset_url,\n      d.type dataset_type,\n      ds.dataset_sub_types,\n      case when d.custom_tags is null or cardinality(d.custom_tags) = 0 then null else d.custom_tags end dataset_custom_tags,\n      d.organization_type type_publicateur,\n      re.noms nom_region,\n      o.offre_mobilite,\n      administrative_division.noms couverture_spatiale,\n      nullif(concat_ws(', ', legal_owners.noms, case when d.legal_owner_company_siren is not null then coalesce(c.nom_complet || ' (' || d.legal_owner_company_siren || ')', d.legal_owner_company_siren) end), '') representants_legaux,\n      d.licence licence,\n      coalesce(reusers_sub.count, 0) nb_reusers_subscription,\n      coalesce(reusers_notif_sub.count, 0) nb_reusers_notifications_subscription,\n      coalesce(producers_notif_sub.count, 0) nb_producers_notifications_subscription,\n      freshness_score.score score_fraicheur,\n      availability_score.score score_disponibilite,\n      compliance_score.score score_conformite,\n      d.organization_id id_organisation,\n      d.organization nom_organisation,\n      d.datagouv_id id_dataset_datagouv,\n      d.datagouv_title dataset_titre_datagouv,\n      case when d.is_active and d.archived_at is null then 'actif' when not d.is_active then 'supprimé' when d.archived_at is not null then 'archivé' end statut_datagouv\n    from dataset d\n    left join (\n      select\n        dgv.dataset_id,\n        string_agg(re.nom, ', ' order by re.nom) noms\n      from dataset_geographic_view dgv\n      join region re on re.id = dgv.region_id\n      group by dgv.dataset_id\n    ) re on re.dataset_id = d.id\n    left join (\n      select\n        d.id dataset_id,\n        string_agg(o.nom_commercial, ',' order by o.nom_commercial) offre_mobilite\n      from dataset d\n      left join dataset_offer dao on dao.dataset_id = d.id\n      left join offer o on o.id = dao.offer_id\n      group by 1\n    ) o on o.dataset_id = d.id\n    left join (\n      select\n        dataset_id,\n        string_agg(nom, ',' order by nom) noms\n      from (\n        select dr.dataset_id, r.nom nom\n        from dataset_region_legal_owner dr\n        join region r on dr.region_id = r.id\n\n        union\n\n        select da.dataset_id, a.nom\n        from dataset_aom_legal_owner da\n        join aom a on da.aom_id = a.id\n      ) t\n      group by dataset_id\n    ) legal_owners on legal_owners.dataset_id = d.id\n    left join (\n       select\n        ddsa.dataset_id,\n        string_agg(ad.nom, ',' order by ad.nom) noms\n      from dataset_declarative_spatial_area ddsa\n      join administrative_division ad on ad.id = ddsa.administrative_division_id\n      group by ddsa.dataset_id\n    ) administrative_division on administrative_division.dataset_id = d.id\n    left join company c on c.siren = d.legal_owner_company_siren\n    left join (\n      select\n        d.id dataset_id,\n        string_agg(ds.slug, ',' order by ds.slug) dataset_sub_types\n      from dataset d\n      left join dataset_dataset_subtype dds on dds.dataset_id = d.id\n      left join dataset_subtype ds on ds.id = dds.dataset_subtype_id\n      group by d.id\n    ) ds on ds.dataset_id = d.id\n    left join (\n      select dataset_id, count(*) count\n      from dataset_followers\n      group by dataset_id\n    ) reusers_sub on reusers_sub.dataset_id = d.id\n    left join (\n      select dataset_id, count(*) count\n      from notification_subscription\n      where role = 'reuser'\n      group by dataset_id\n    ) reusers_notif_sub on reusers_notif_sub.dataset_id = d.id\n    left join (\n      select dataset_id, count(*) count\n      from notification_subscription\n      where role = 'producer'\n      group by dataset_id\n    ) producers_notif_sub on producers_notif_sub.dataset_id = d.id\n    left join (\n      select\n        ds.dataset_id,\n        ds.score,\n        row_number() over (partition by ds.dataset_id order by ds.timestamp desc) row_number\n      from dataset_score ds\n      where ds.topic = 'freshness'\n    ) freshness_score on freshness_score.dataset_id = d.id and freshness_score.row_number = 1\n    left join (\n      select\n        ds.dataset_id,\n        ds.score,\n        row_number() over (partition by ds.dataset_id order by ds.timestamp desc) row_number\n      from dataset_score ds\n      where ds.topic = 'availability'\n    ) availability_score on availability_score.dataset_id = d.id and availability_score.row_number = 1\n    left join (\n      select\n        ds.dataset_id,\n        ds.score,\n        row_number() over (partition by ds.dataset_id order by ds.timestamp desc) row_number\n      from dataset_score ds\n      where ds.topic = 'compliance'\n    ) compliance_score on compliance_score.dataset_id = d.id and compliance_score.row_number = 1\n    \"\"\")\n  end\n\n  defp resources_query do\n    DB.Repo\n    |> Ecto.Adapters.SQL.query!(\"\"\"\n    select\n      d.organization nom_organisation,\n      d.datagouv_title dataset_titre_datagouv,\n      d.custom_title dataset_titre_pan,\n      'https://transport.data.gouv.fr/datasets/' || d.slug dataset_url,\n      d.licence licence,\n      d.type dataset_type,\n      ds.dataset_sub_types,\n      case when d.custom_tags is null or cardinality(d.custom_tags) = 0 then null else d.custom_tags end dataset_custom_tags,\n      d.organization_type type_publicateur,\n      re.noms nom_region,\n      o.offre_mobilite,\n      administrative_division.noms couverture_spatiale,\n      nullif(concat_ws(', ', legal_owners.noms, case when d.legal_owner_company_siren is not null then coalesce(c.nom_complet || ' (' || d.legal_owner_company_siren || ')', d.legal_owner_company_siren) end), '') representants_legaux,\n      case when d.is_active and d.archived_at is null then 'actif' when not d.is_active then 'supprimé' when d.archived_at is not null then 'archivé' end statut_datagouv,\n      r.title titre_ressource,\n      r.url url_ressource,\n      r.type type_ressource,\n      r.is_community_resource est_ressource_communautaire,\n      r.format format_ressource,\n      r.format in ('gtfs-rt', 'gbfs', 'SIRI', 'SIRI Lite') est_temps_reel_ressource,\n      associated_resources.titres est_associee_a_ressources,\n      case when r.url like 'https://static.data.gouv.fr%' then 'manuelle' else 'automatique' end methode_maj,\n      rh.inserted_at derniere_maj,\n      case when mv.validator = 'GTFS transport-validator' then mv.max_error else mv.result->>'errors_count' end validation_errors,\n      rm.metadata->>'end_date' gtfs_date_fin,\n      d.organization_id id_organisation,\n      d.id id_dataset,\n      r.id id_ressource,\n      freshness_score.score score_fraicheur,\n      availability_score.score score_disponibilite,\n      compliance_score.score score_conformite\n    from resource r\n    join dataset d on d.id = r.dataset_id\n    left join (\n      select\n        dgv.dataset_id,\n        string_agg(re.nom, ', ' order by re.nom) noms\n      from dataset_geographic_view dgv\n      join region re on re.id = dgv.region_id\n      group by dgv.dataset_id\n    ) re on re.dataset_id = d.id\n    left join (\n      select\n        d.id dataset_id,\n        string_agg(o.nom_commercial, ',' order by o.nom_commercial) offre_mobilite\n      from dataset d\n      left join dataset_offer dao on dao.dataset_id = d.id\n      left join offer o on o.id = dao.offer_id\n      group by 1\n    ) o on o.dataset_id = d.id\n    left join (\n      select\n        rh.*,\n        row_number() over (partition by rh.resource_id order by rh.inserted_at desc) row_number\n      from resource_history rh\n    ) rh on rh.resource_id = r.id and rh.row_number = 1\n    left join (\n      select\n        dataset_id,\n        string_agg(nom, ',' order by nom) noms\n      from (\n        select dr.dataset_id, r.nom nom\n        from dataset_region_legal_owner dr\n        join region r on dr.region_id = r.id\n\n        union\n\n        select da.dataset_id, a.nom\n        from dataset_aom_legal_owner da\n        join aom a on da.aom_id = a.id\n      ) t\n      group by dataset_id\n    ) legal_owners on legal_owners.dataset_id = d.id\n    left join (\n       select\n        ddsa.dataset_id,\n        string_agg(ad.nom, ',' order by ad.nom) noms\n      from dataset_declarative_spatial_area ddsa\n      join administrative_division ad on ad.id = ddsa.administrative_division_id\n      group by ddsa.dataset_id\n    ) administrative_division on administrative_division.dataset_id = d.id\n    left join company c on c.siren = d.legal_owner_company_siren\n    left join (\n      select rr.resource_src_id resource_id, string_agg(r2.title, ',' order by r2.title) titres\n      from resource_related rr\n      join resource r2 on r2.id = rr.resource_dst_id\n      group by rr.resource_src_id\n    ) associated_resources on associated_resources.resource_id = r.id\n    left join multi_validation mv on mv.resource_history_id = rh.id\n    left join resource_metadata rm on rm.multi_validation_id = mv.id\n    left join (\n      select\n        d.id dataset_id,\n        string_agg(ds.slug, ',' order by ds.slug) dataset_sub_types\n      from dataset d\n      left join dataset_dataset_subtype dds on dds.dataset_id = d.id\n      left join dataset_subtype ds on ds.id = dds.dataset_subtype_id\n      group by d.id\n    ) ds on ds.dataset_id = d.id\n    -- FIXME: we should be able to do a single query for `dataset_score`\n    left join (\n      select\n        ds.dataset_id,\n        ds.score,\n        row_number() over (partition by ds.dataset_id order by ds.timestamp desc) row_number\n      from dataset_score ds\n      where ds.topic = 'freshness'\n    ) freshness_score on freshness_score.dataset_id = d.id and freshness_score.row_number = 1\n    left join (\n      select\n        ds.dataset_id,\n        ds.score,\n        row_number() over (partition by ds.dataset_id order by ds.timestamp desc) row_number\n      from dataset_score ds\n      where ds.topic = 'availability'\n    ) availability_score on availability_score.dataset_id = d.id and availability_score.row_number = 1\n    left join (\n      select\n        ds.dataset_id,\n        ds.score,\n        row_number() over (partition by ds.dataset_id order by ds.timestamp desc) row_number\n      from dataset_score ds\n      where ds.topic = 'compliance'\n    ) compliance_score on compliance_score.dataset_id = d.id and compliance_score.row_number = 1\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/contact_controller.ex",
    "content": "defmodule TransportWeb.ContactController do\n  use TransportWeb, :controller\n  require Logger\n\n  @spec send_mail(Plug.Conn.t(), map()) :: {:error, any} | Plug.Conn.t()\n  def send_mail(conn, %{\"email\" => email, \"name\" => name} = params) when name !== \"\" do\n    # someone filled the honeypot field (\"name\") => discard as spam\n    Logger.info(\"Mail coming from #{email} has been discarded because it filled the contact form honeypot\")\n\n    conn\n    # spammer get a little fox emoji in their flash message, useful for testing purpose\n    |> put_flash(:info, \"Your email has been sent, we will contact you soon 🦊\")\n    |> redirect(to: params[\"redirect_path\"] || page_path(conn, :index))\n  end\n\n  def send_mail(\n        conn,\n        %{\n          \"email\" => email,\n          \"user_type\" => user_type,\n          \"question_type\" => question_type,\n          \"subject\" => subject,\n          \"question\" => question\n        } = params\n      ) do\n    %{email: email, user_type: user_type, question_type: question_type, subject: subject, question: question} =\n      sanitize_inputs(%{\n        email: email,\n        user_type: user_type,\n        question_type: question_type,\n        subject: subject,\n        question: question\n      })\n\n    contact_email = Transport.AdminNotifier.contact(email, user_type, question_type, subject, question)\n\n    case Transport.Mailer.deliver(contact_email) do\n      {:ok, _} ->\n        conn\n        |> put_flash(:info, gettext(\"Your email has been sent, we will contact you soon\"))\n        |> redirect(to: params[\"redirect_path\"] || page_path(conn, :index))\n\n      {:error, _} ->\n        conn\n        |> put_flash(:error, gettext(\"There has been an error, try again later\"))\n        |> redirect(to: params[\"redirect_path\"] || page_path(conn, :index))\n    end\n  end\n\n  def send_mail(conn, params) do\n    Logger.error(\"Bad parameters for sending email #{inspect(params)}\")\n\n    conn\n    |> put_flash(:error, gettext(\"There has been an error, try again later\"))\n    |> redirect(to: params[\"redirect_path\"] || page_path(conn, :index))\n  end\n\n  defp sanitize_inputs(map), do: Map.new(map, fn {k, v} -> {k, v |> String.trim() |> HtmlSanitizeEx.strip_tags()} end)\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/conversion_controller.ex",
    "content": "defmodule TransportWeb.ConversionController do\n  use TransportWeb, :controller\n\n  def get(%Plug.Conn{} = conn, %{\"resource_id\" => resource_id, \"convert_to\" => convert_to}) do\n    acceptable_formats = DB.DataConversion.available_conversion_formats() |> Enum.map(&to_string/1)\n\n    if convert_to in acceptable_formats do\n      case DB.Resource.get_related_conversion_info(resource_id, String.to_existing_atom(convert_to)) do\n        nil ->\n          conn |> conversion_not_found()\n\n        %{url: url, resource_history_last_up_to_date_at: %DateTime{} = last_up_to_date_at} ->\n          trace_request(resource_id, convert_to)\n\n          conn\n          |> put_resp_header(\"etag\", md5_hash(url))\n          |> put_resp_header(\"cache-control\", \"public, max-age=300\")\n          |> put_resp_header(\"x-robots-tag\", \"noindex\")\n          |> put_resp_header(\"x-last-up-to-date-at\", last_up_to_date_at |> DateTime.to_iso8601())\n          |> put_status(302)\n          |> redirect(external: url)\n      end\n    else\n      conn |> conversion_not_found(\"`#{convert_to}` is not a possible value.\")\n    end\n  end\n\n  def get(%Plug.Conn{} = conn, _) do\n    conn |> conversion_not_found(\"Unrecognized parameters.\")\n  end\n\n  @doc \"\"\"\n  iex> md5_hash(\"elixir\")\n  \"74b565865a192cc8693c530d48eb383a\"\n  \"\"\"\n  def md5_hash(value) do\n    :md5 |> :crypto.hash(value) |> Base.encode16(case: :lower)\n  end\n\n  defp trace_request(resource_id, convert_to) when is_binary(convert_to) do\n    convert_to_atom = convert_to |> String.to_existing_atom()\n    :telemetry.execute([:conversions, :get, convert_to_atom], %{}, %{target: \"resource_id:#{resource_id}\"})\n  end\n\n  defp conversion_not_found(%Plug.Conn{} = conn, explanation \\\\ \"\") do\n    message =\n      case explanation do\n        \"\" -> \"Conversion not found.\"\n        explanation -> \"Conversion not found. \" <> explanation\n      end\n\n    conn |> put_status(:not_found) |> text(message)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/dataset_controller.ex",
    "content": "defmodule TransportWeb.DatasetController do\n  use TransportWeb, :controller\n  alias Datagouvfr.Authentication\n  import Ecto.Query\n\n  import TransportWeb.DatasetView,\n    only: [availability_number_days: 0, days_notifications_sent: 0, max_nb_history_resources: 0]\n\n  import Phoenix.HTML\n  require Logger\n\n  @spec index(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def index(%Plug.Conn{} = conn, params), do: list_datasets(conn, params, true)\n\n  @db_filter_fns %{\n    \"departement\" => &DB.Dataset.filter_by_departement/2,\n    \"epci\" => &DB.Dataset.filter_by_epci/2,\n    \"commune\" => &DB.Dataset.filter_by_commune/2,\n    \"q\" => &DB.Dataset.filter_by_fulltext/2,\n    \"features\" => &DB.Dataset.filter_by_feature/2\n  }\n  @db_only_filters Map.keys(@db_filter_fns)\n\n  @spec list_datasets(Plug.Conn.t(), map(), boolean) :: Plug.Conn.t()\n  def list_datasets(%Plug.Conn{} = conn, %{} = params, count_by_region \\\\ false) do\n    index = Transport.DatasetIndex.get()\n    dataset_ids = dataset_ids_for(index, params)\n\n    datasets =\n      DB.Dataset.base_query()\n      |> preload(:resources)\n      |> where([d], d.id in ^dataset_ids)\n      |> order_by([d], fragment(\"array_position(?, ?)\", ^dataset_ids, d.id))\n      |> preload_spatial_areas()\n      |> DB.Repo.paginate(page: make_pagination_config(params).page_number)\n\n    conn\n    |> maybe_assign_regions(count_by_region, index, dataset_ids)\n    |> assign(:datasets, datasets)\n    |> assign_facets(index, dataset_ids, params)\n    |> put_dataset_heart_values(datasets)\n    |> put_empty_message(params)\n    |> put_category_custom_message(params)\n    |> put_page_title(params)\n    |> render(\"index.html\")\n  end\n\n  defp assign_facets(conn, index, dataset_ids, params) do\n    conn\n    |> assign(:types, Transport.DatasetIndex.types(index, dataset_ids))\n    |> assign(:licences, Transport.DatasetIndex.licences(index, dataset_ids))\n    |> assign(:number_realtime_datasets, Transport.DatasetIndex.realtime_count(index, dataset_ids))\n    |> assign(:number_resource_format_datasets, Transport.DatasetIndex.resource_format_count(index, dataset_ids))\n    |> assign(:subtypes, subtypes_facet(index, dataset_ids, params))\n    |> assign(:order_by, params[\"order_by\"])\n    |> assign(:q, params[\"q\"])\n  end\n\n  defp maybe_assign_regions(conn, false, _index, _dataset_ids), do: conn\n\n  defp maybe_assign_regions(conn, true, index, dataset_ids),\n    do: assign(conn, :regions, Transport.DatasetIndex.regions(index, dataset_ids))\n\n  defp subtypes_facet(index, dataset_ids, %{\"type\" => type} = _params) do\n    Transport.DatasetIndex.subtypes(index, dataset_ids, type)\n  end\n\n  defp subtypes_facet(_index, _dataset_ids, _params), do: %{all: 0, subtypes: []}\n\n  @spec details(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def details(%Plug.Conn{} = conn, %{\"slug\" => slug_or_id}) do\n    case DB.Dataset.get_by_slug(slug_or_id) do\n      {:ok, %DB.Dataset{} = dataset} ->\n        conn\n        |> assign(:dataset, dataset)\n        |> assign(:site, Application.get_env(:oauth2, Authentication)[:site])\n        |> assign(:resources_infos, resources_infos(dataset))\n        |> assign(\n          :history_resources,\n          Transport.History.Fetcher.history_resources(dataset,\n            max_records: max_nb_history_resources(),\n            preload_validations: true,\n            only_metadata: true\n          )\n        )\n        |> assign(:latest_resources_history_infos, DB.ResourceHistory.latest_dataset_resources_history_infos(dataset))\n        |> assign(:notifications_sent, DB.Notification.recent_reasons(dataset, days_notifications_sent()))\n        |> assign_scores(dataset)\n        |> assign_is_producer(dataset)\n        |> assign_follows_dataset(dataset)\n        |> assign_company(dataset)\n        |> put_status(if dataset.is_active, do: :ok, else: :not_found)\n        |> render(\"details.html\")\n\n      {:error, msg} ->\n        Logger.error(\"Could not fetch dataset details: #{msg}\")\n        redirect_to_slug_or_404(conn, slug_or_id)\n    end\n  end\n\n  defp assign_company(%Plug.Conn{} = conn, %DB.Dataset{legal_owner_company_siren: nil}) do\n    assign(conn, :company, nil)\n  end\n\n  defp assign_company(%Plug.Conn{} = conn, %DB.Dataset{legal_owner_company_siren: siren}) do\n    assign(conn, :company, DB.Repo.get(DB.Company, siren))\n  end\n\n  defp assign_follows_dataset(\n         %Plug.Conn{assigns: %{current_contact: current_contact}} = conn,\n         %DB.Dataset{} = dataset\n       ) do\n    assign(conn, :follows_dataset, DB.DatasetFollower.follows_dataset?(current_contact, dataset))\n  end\n\n  defp assign_is_producer(\n         %Plug.Conn{assigns: %{current_contact: current_contact}} = conn,\n         %DB.Dataset{organization_id: organization_id}\n       ) do\n    is_producer =\n      if Enum.any?([current_contact, organization_id], &is_nil/1) do\n        false\n      else\n        DB.Contact.base_query()\n        |> join(:inner, [contact: c], c in assoc(c, :organizations), as: :organization)\n        |> where([contact: c, organization: o], c.id == ^current_contact.id and o.id == ^organization_id)\n        |> DB.Repo.exists?()\n      end\n\n    assign(conn, :is_producer, is_producer)\n  end\n\n  def assign_scores(%Plug.Conn{} = conn, %DB.Dataset{} = dataset) do\n    data = DB.DatasetScore.scores_over_last_days(dataset, 30 * 3)\n\n    # See https://hexdocs.pm/vega_lite/\n    # and https://vega.github.io/vega-lite/docs/\n    scores_chart =\n      [width: \"container\", height: 250]\n      |> VegaLite.new()\n      |> VegaLite.data_from_values(\n        Enum.map(data, fn %DB.DatasetScore{topic: topic, timestamp: timestamp} = ds ->\n          %{\n            \"topic\" => DB.DatasetScore.topic_for_humans(topic),\n            \"score\" => DB.DatasetScore.score_for_humans(ds),\n            \"date\" => DateTime.to_date(timestamp)\n          }\n        end)\n      )\n      |> VegaLite.mark(:line, interpolate: \"step-before\", tooltip: true, strokeWidth: 3)\n      |> VegaLite.encode_field(:x, \"date\", type: :temporal)\n      |> VegaLite.encode_field(:y, \"score\", type: :quantitative)\n      |> VegaLite.encode_field(:color, \"topic\", type: :nominal)\n      |> VegaLite.config(axis: [grid: false])\n      |> VegaLite.to_spec()\n\n    latest_scores =\n      data\n      |> Enum.reject(fn %DB.DatasetScore{score: score} -> is_nil(score) end)\n      |> Enum.group_by(fn %DB.DatasetScore{topic: topic} -> topic end)\n      # only keep \"last\" score + format for humans\n      |> Enum.map(fn {topic, scores} -> {topic, scores |> List.last() |> DB.DatasetScore.score_for_humans()} end)\n      # make the order deterministic\n      |> Enum.sort_by(fn {topic, _score} -> topic end)\n\n    merge_assigns(conn, %{scores_chart: scores_chart, latest_scores: latest_scores})\n  end\n\n  def validators_to_use,\n    do: Transport.ValidatorsSelection.validators_for_feature(:dataset_controller)\n\n  def resources_infos(dataset) do\n    %{\n      unavailabilities: unavailabilities(dataset),\n      resources_updated_at: DB.Dataset.resources_content_updated_at(dataset),\n      validations: DB.MultiValidation.dataset_latest_validation(dataset.id, validators_to_use()),\n      gtfs_rt_entities: gtfs_rt_entities(dataset)\n    }\n  end\n\n  @spec gtfs_rt_entities(DB.Dataset.t()) :: map()\n  def gtfs_rt_entities(%DB.Dataset{id: dataset_id, type: \"public-transit\"}) do\n    recent_limit = Transport.Jobs.GTFSRTMetadataJob.datetime_limit()\n\n    DB.Resource.base_query()\n    |> join(:inner, [resource: r], rm in DB.ResourceMetadata, on: r.id == rm.resource_id, as: :metadata)\n    |> where(\n      [resource: r, metadata: rm],\n      r.dataset_id == ^dataset_id and r.format == \"gtfs-rt\" and rm.inserted_at > ^recent_limit\n    )\n    |> select([metadata: rm], %{resource_id: rm.resource_id, feed_type: fragment(\"UNNEST(?)\", rm.features)})\n    |> distinct(true)\n    |> DB.Repo.all()\n    |> Enum.reduce(%{}, fn %{resource_id: resource_id, feed_type: feed_type}, acc ->\n      # See https://hexdocs.pm/elixir/Map.html#update/4\n      # > If key is not present in map, default is inserted as the value of key.\n      # The default value **will not be passed through the update function**.\n      Map.update(acc, resource_id, MapSet.new([feed_type]), fn old_val -> MapSet.put(old_val, feed_type) end)\n    end)\n  end\n\n  def gtfs_rt_entities(%DB.Dataset{}), do: %{}\n\n  @spec by_region(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def by_region(%Plug.Conn{} = conn, %{\"region\" => insee} = params) do\n    error_msg = dgettext(\"errors\", \"Region %{insee} does not exist\", insee: insee)\n\n    if System.get_env(\"DISABLE_DATASET_BY_REGION\") == \"true\" do\n      conn\n      |> put_status(503)\n      |> text(\"Fonctionnalité désactivée pour le moment.\")\n    else\n      by_territory(conn, DB.Region |> where([r], r.insee == ^insee), params, error_msg, true)\n    end\n  end\n\n  @spec by_departement_insee(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def by_departement_insee(%Plug.Conn{} = conn, %{\"departement\" => insee} = params) do\n    error_msg = dgettext(\"errors\", \"Department %{insee} does not exist\", insee: insee)\n    by_territory(conn, DB.Departement |> where([d], d.insee == ^insee), params, error_msg)\n  end\n\n  @spec by_epci(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def by_epci(%Plug.Conn{} = conn, %{\"epci\" => insee} = params) do\n    error_msg = dgettext(\"errors\", \"EPCI %{insee} does not exist\", insee: insee)\n    by_territory(conn, DB.EPCI |> where([a], a.insee == ^insee), params, error_msg)\n  end\n\n  @spec by_commune_insee(Plug.Conn.t(), map) :: Plug.Conn.t()\n  def by_commune_insee(%Plug.Conn{} = conn, %{\"commune\" => insee} = params) do\n    error_msg =\n      dgettext(\n        \"errors\",\n        \"Impossible to find a city with the insee code %{insee}\",\n        insee: insee\n      )\n\n    by_territory(conn, DB.Commune |> where([c], c.insee == ^insee), params, error_msg)\n  end\n\n  def by_offer(%Plug.Conn{} = conn, params) do\n    conn |> list_datasets(params, _count_by_region = false)\n  end\n\n  defp unavailabilities(%DB.Dataset{id: id, resources: resources}) do\n    Transport.Cache.fetch(\"unavailabilities_dataset_#{id}\", fn ->\n      resources\n      |> Enum.into(%{}, fn resource ->\n        {resource.id,\n         DB.ResourceUnavailability.availability_over_last_days(\n           resource,\n           availability_number_days()\n         )}\n      end)\n    end)\n  end\n\n  defp by_territory(conn, territory, params, error_msg, count_by_region \\\\ false) do\n    territory\n    |> DB.Repo.one()\n    |> case do\n      nil ->\n        error_page(conn, error_msg)\n\n      territory ->\n        conn\n        |> assign(:territory, territory)\n        |> list_datasets(params, count_by_region)\n    end\n  rescue\n    Ecto.Query.CastError -> error_page(conn, error_msg)\n  end\n\n  @spec error_page(Plug.Conn.t(), binary()) :: Plug.Conn.t()\n  defp error_page(conn, msg) do\n    conn\n    |> put_status(:not_found)\n    |> put_view(ErrorView)\n    |> assign(:custom_message, msg)\n    |> render(\"404.html\")\n  end\n\n  defp dataset_ids_for(index, params) do\n    memory_ids = Transport.DatasetIndex.filter_dataset_ids(index, params)\n    db_only_params = Map.take(params, @db_only_filters)\n    order_and_refine(memory_ids, index, params, db_only_params)\n  end\n\n  # When the search does not include \"db params\" we can filter and order using only the memory index\n  defp order_and_refine(memory_ids, index, params, db_only_params) when db_only_params == %{} do\n    Transport.DatasetIndex.order_dataset_ids(memory_ids, index, params)\n  end\n\n  defp order_and_refine(memory_ids, _index, params, db_only_params) do\n    DB.Dataset.base_query()\n    |> where([dataset: d], d.id in ^memory_ids)\n    |> apply_db_only_filters(db_only_params)\n    |> DB.Dataset.order_datasets(params)\n    |> select([dataset: d], d.id)\n    |> DB.Repo.all()\n  end\n\n  defp apply_db_only_filters(%Ecto.Query{} = query, db_only_params) do\n    Enum.reduce(db_only_params, query, fn {key, _value}, acc ->\n      case Map.fetch(@db_filter_fns, key) do\n        {:ok, filter_fn} -> filter_fn.(acc, db_only_params)\n        :error -> acc\n      end\n    end)\n  end\n\n  defp preload_spatial_areas(query) do\n    DB.AdministrativeDivision\n    |> select([a], struct(a, [:type, :nom]))\n    |> then(&preload(query, declarative_spatial_areas: ^&1))\n  end\n\n  def resources_history_csv(%Plug.Conn{} = conn, %{\"dataset_id\" => dataset_id}) do\n    dataset_id = String.to_integer(dataset_id)\n\n    DB.FeatureUsage.insert!(\n      :download_resource_history,\n      get_in(conn.assigns.current_contact.id),\n      %{dataset_id: dataset_id}\n    )\n\n    filename = \"historisation-dataset-#{dataset_id}-#{Date.utc_today() |> Date.to_iso8601()}.csv\"\n\n    csv_header = [\n      \"resource_history_id\",\n      \"resource_id\",\n      \"permanent_url\",\n      \"payload\",\n      \"inserted_at\"\n    ]\n\n    # Stream the query from the database and send 100 rows at a time\n    {:ok, conn} =\n      DB.Repo.transaction(\n        fn ->\n          Transport.History.Fetcher.history_resources(\n            %DB.Dataset{id: dataset_id},\n            preload_validations: false,\n            fetch_mode: :stream\n          )\n          |> Stream.map(&build_history_csv_row(csv_header, &1))\n          |> Stream.chunk_every(100)\n          |> send_csv_response(filename, csv_header, conn)\n        end,\n        timeout: :timer.seconds(60)\n      )\n\n    conn\n  end\n\n  defp send_csv_response(chunks, filename, csv_header, %Plug.Conn{} = conn) do\n    {:ok, conn} =\n      conn\n      |> put_resp_content_type(\"text/csv\")\n      |> put_resp_header(\"content-disposition\", ~s|attachment; filename=\"#{filename}\"|)\n      |> send_chunked(:ok)\n      |> send_csv_chunk([csv_header])\n\n    Enum.reduce_while(chunks, conn, fn data, conn ->\n      case send_csv_chunk(conn, data) do\n        {:ok, conn} -> {:cont, conn}\n        {:error, :closed} -> {:halt, conn}\n      end\n    end)\n  end\n\n  defp send_csv_chunk(%Plug.Conn{} = conn, data) do\n    chunk(conn, data |> NimbleCSV.RFC4180.dump_to_iodata())\n  end\n\n  defp build_history_csv_row(csv_header, %DB.ResourceHistory{\n         id: rh_id,\n         resource_id: resource_id,\n         payload: payload,\n         inserted_at: inserted_at\n       }) do\n    row =\n      %{\n        \"resource_history_id\" => rh_id,\n        \"resource_id\" => resource_id,\n        \"permanent_url\" => Map.fetch!(payload, \"permanent_url\"),\n        \"payload\" => Jason.encode!(payload),\n        \"inserted_at\" => inserted_at\n      }\n\n    # Build a row following same order as the CSV header\n    Enum.map(csv_header, &Map.fetch!(row, &1))\n  end\n\n  @spec redirect_to_slug_or_404(Plug.Conn.t(), binary()) :: Plug.Conn.t()\n  defp redirect_to_slug_or_404(conn, slug_or_id) do\n    case Integer.parse(slug_or_id) do\n      {_id, \"\"} ->\n        redirect_to_dataset(conn, DB.Repo.get_by(DB.Dataset, id: slug_or_id))\n\n      _ ->\n        case DB.Repo.get_by(DB.Dataset, datagouv_id: slug_or_id) do\n          %DB.Dataset{} = dataset -> redirect_to_dataset(conn, dataset)\n          nil -> find_dataset_from_slug(conn, slug_or_id)\n        end\n    end\n  end\n\n  defp find_dataset_from_slug(%Plug.Conn{} = conn, slug) do\n    case DB.DatasetHistory.from_old_dataset_slug(slug) do\n      %DB.DatasetHistory{dataset_id: dataset_id} ->\n        redirect_to_dataset(conn, DB.Repo.get_by(DB.Dataset, id: dataset_id))\n\n      nil ->\n        find_dataset_from_datagouv(conn, slug)\n    end\n  rescue\n    Ecto.MultipleResultsError -> redirect_to_dataset(conn, nil)\n  end\n\n  defp find_dataset_from_datagouv(%Plug.Conn{} = conn, slug) do\n    case Datagouvfr.Client.Datasets.get(slug) do\n      {:ok, %{\"id\" => datagouv_id}} ->\n        redirect_to_dataset(conn, DB.Repo.get_by(DB.Dataset, datagouv_id: datagouv_id))\n\n      _ ->\n        redirect_to_dataset(conn, nil)\n    end\n  end\n\n  @spec redirect_to_dataset(Plug.Conn.t(), DB.Dataset.t() | nil) :: Plug.Conn.t()\n  defp redirect_to_dataset(conn, nil) do\n    conn\n    |> put_status(:not_found)\n    |> put_view(ErrorView)\n    |> render(\"404.html\")\n  end\n\n  defp redirect_to_dataset(conn, %DB.Dataset{} = dataset) do\n    redirect(conn, to: dataset_path(conn, :details, dataset.slug))\n  end\n\n  @spec get_name(Ecto.Queryable.t(), binary()) :: binary()\n  defp get_name(DB.Offer, identifiant_offre) do\n    DB.Offer\n    |> where([o], o.identifiant_offre == ^identifiant_offre)\n    |> select([o], o.nom_commercial)\n    |> DB.Repo.one!()\n  end\n\n  defp get_name(territory, insee) do\n    territory\n    |> DB.Repo.get_by(insee: insee)\n    |> case do\n      nil -> insee\n      t -> t.nom\n    end\n  end\n\n  @spec empty_message_by_territory(map()) :: binary()\n  defp empty_message_by_territory(%{\"epci\" => insee}) do\n    dgettext(\"page-shortlist\", \"EPCI %{name} has not yet published any datasets\", name: get_name(DB.EPCI, insee))\n  end\n\n  defp empty_message_by_territory(%{\"region\" => insee}) do\n    dgettext(\"page-shortlist\", \"There is no data for region %{name}\", name: get_name(DB.Region, insee))\n  end\n\n  defp empty_message_by_territory(%{\"commune\" => insee}) do\n    dgettext(\"page-shortlist\", \"There is no data for city %{name}\", name: get_name(DB.Region, insee))\n  end\n\n  defp empty_message_by_territory(_params), do: dgettext(\"page-shortlist\", \"No dataset found\")\n\n  @spec put_empty_message(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  defp put_empty_message(%Plug.Conn{:assigns => %{:datasets => %{:entries => []}}} = conn, params) do\n    case map_size(conn.query_params) do\n      0 ->\n        message = empty_message_by_territory(params)\n        assign(conn, :empty_message, raw(message))\n\n      _ ->\n        conn\n    end\n  end\n\n  defp put_empty_message(conn, _params), do: conn\n\n  @spec put_category_custom_message(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  defp put_category_custom_message(conn, params) do\n    locale = get_session(conn, :locale)\n\n    case Transport.CustomSearchMessage.get_message(params, locale) do\n      nil -> conn\n      msg -> assign(conn, :category_custom_message, msg)\n    end\n  end\n\n  defp put_page_title(conn, %{\"region\" => insee} = params) do\n    # For \"region = (National) + modes[]=bus\", which correspond to\n    # long distance coaches (Flixbus, BlaBlaBus etc.) we don't want\n    # to put the region name but instead \"Long distance coaches\"\n    if insee == DB.Region.national().insee and Map.has_key?(params, \"modes\") do\n      put_page_title(conn, Map.delete(params, \"region\"))\n    else\n      assign(\n        conn,\n        :page_title,\n        %{type: dgettext(\"page-shortlist\", \"region\"), name: get_name(DB.Region, insee)}\n      )\n    end\n  end\n\n  defp put_page_title(conn, %{\"commune\" => insee}) do\n    assign(\n      conn,\n      :page_title,\n      %{type: dgettext(\"page-shortlist\", \"city\"), name: get_name(DB.Commune, insee)}\n    )\n  end\n\n  defp put_page_title(conn, %{\"departement\" => insee}) do\n    assign(\n      conn,\n      :page_title,\n      %{type: dgettext(\"page-shortlist\", \"department\"), name: get_name(DB.Departement, insee)}\n    )\n  end\n\n  defp put_page_title(conn, %{\"epci\" => insee}),\n    do:\n      assign(\n        conn,\n        :page_title,\n        %{type: \"EPCI\", name: get_name(DB.EPCI, insee)}\n      )\n\n  defp put_page_title(conn, %{\"identifiant_offre\" => identifiant_offre}),\n    do:\n      assign(\n        conn,\n        :page_title,\n        %{\n          type: dgettext(\"page-shortlist\", \"transport offer\"),\n          name: get_name(DB.Offer, identifiant_offre)\n        }\n      )\n\n  defp put_page_title(conn, %{\"format\" => format}),\n    do:\n      assign(\n        conn,\n        :page_title,\n        %{\n          type: dgettext(\"page-shortlist\", \"data format\"),\n          name: format\n        }\n      )\n\n  defp put_page_title(%Plug.Conn{request_path: request_path, query_params: query_params} = conn, _) do\n    # We use the home tiles to associate the URL params to a title, see doc of the function\n    TransportWeb.PageController.home_tiles(conn)\n    # Allows to match `?type=foo&filter=has_realtime` otherwise\n    # `?type=foo` would match and we would not consider\n    # other options.\n    |> Enum.sort_by(&String.length(&1.link), :desc)\n    |> Enum.find(&tile_matches_query?(&1, MapSet.new(Map.merge(%{\"path\" => request_path}, query_params))))\n    |> case do\n      %TransportWeb.PageController.Tile{title: title} ->\n        assign(\n          conn,\n          :page_title,\n          %{type: dgettext(\"page-shortlist\", \"category\"), name: title}\n        )\n\n      _ ->\n        conn\n    end\n  end\n\n  defp tile_matches_query?(%TransportWeb.PageController.Tile{link: link}, %MapSet{} = request) do\n    uri = link |> URI.new!()\n    tile_query = (uri |> Map.fetch!(:query) || \"\") |> Plug.Conn.Query.decode()\n    tile_params = Map.merge(%{\"path\" => uri.path}, tile_query) |> MapSet.new()\n\n    MapSet.subset?(tile_params, request)\n  end\n\n  defp put_dataset_heart_values(%Plug.Conn{assigns: %{current_user: current_user}} = conn, datasets) do\n    if is_nil(current_user) do\n      conn\n    else\n      assign(conn, :dataset_heart_values, dataset_heart_values(current_user, datasets))\n    end\n  end\n\n  @doc \"\"\"\n  Compute, for each dataset displayed on the current page, what the heart icon$\n  should look like.\n\n  The current user can be a producer/follow the dataset or nothing (not a producer and not following it).\n  \"\"\"\n  def dataset_heart_values(%{\"id\" => datagouv_user_id} = _current_user, datasets) do\n    dataset_ids = Enum.map(datasets, & &1.id)\n\n    contact_org_ids =\n      DB.Contact.base_query()\n      |> join(:left, [contact: c], c in assoc(c, :organizations), as: :organization)\n      |> where([contact: c], c.datagouv_user_id == ^datagouv_user_id)\n      |> select([organization: o], o.id)\n      |> DB.Repo.all()\n\n    followed_dataset_ids =\n      DB.Contact.base_query()\n      |> join(:left, [contact: c], c in assoc(c, :followed_datasets), as: :dataset)\n      |> where([contact: c, dataset: d], c.datagouv_user_id == ^datagouv_user_id and d.id in ^dataset_ids)\n      |> select([dataset: d], d.id)\n      |> DB.Repo.all()\n\n    Map.new(datasets, fn %DB.Dataset{id: dataset_id, organization_id: organization_id} ->\n      value =\n        cond do\n          organization_id in contact_org_ids -> :producer\n          dataset_id in followed_dataset_ids -> :following\n          true -> nil\n        end\n\n      {dataset_id, value}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/discussion_controller.ex",
    "content": "defmodule TransportWeb.DiscussionController do\n  use TransportWeb, :controller\n  alias Datagouvfr.Client.Discussions.Wrapper, as: Discussions\n  require Logger\n\n  plug(:assign_dataset)\n\n  @spec post_discussion(Plug.Conn.t(), map) :: Plug.Conn.t()\n  def post_discussion(%Plug.Conn{} = conn, %{\n        \"comment\" => comment,\n        \"dataset_datagouv_id\" => dataset_datagouv_id,\n        \"title\" => title,\n        \"dataset_slug\" => dataset_slug\n      }) do\n    DB.FeatureUsage.insert!(\n      :post_discussion,\n      get_in(conn.assigns.current_contact.id),\n      %{dataset_id: conn.assigns.dataset.id}\n    )\n\n    conn\n    |> Discussions.post(dataset_datagouv_id, title, comment)\n    |> case do\n      {:ok, _} ->\n        put_flash(conn, :info, dgettext(\"page-dataset-details\", \"New discussion started\"))\n\n      {:error, error} ->\n        Logger.error(\"When starting a new discussion: #{inspect(error)}\")\n        put_flash(conn, :error, dgettext(\"page-dataset-details\", \"Unable to start a new discussion\"))\n    end\n    |> redirect(to: dataset_path(conn, :details, dataset_slug))\n  end\n\n  @spec post_answer(Plug.Conn.t(), map) :: Plug.Conn.t()\n  def post_answer(\n        %Plug.Conn{} = conn,\n        %{\"discussion_id\" => discussion_id, \"comment\" => comment, \"dataset_slug\" => dataset_slug} = params\n      ) do\n    DB.FeatureUsage.insert!(\n      :post_comment,\n      get_in(conn.assigns.current_contact.id),\n      %{dataset_id: conn.assigns.dataset.id, close: Map.has_key?(params, \"answer_and_close\")}\n    )\n\n    conn\n    |> Discussions.post(discussion_id, comment, close: Map.has_key?(params, \"answer_and_close\"))\n    |> case do\n      {:ok, _} ->\n        conn\n        |> put_flash(:info, dgettext(\"page-dataset-details\", \"Answer published\"))\n\n      {:error, error} ->\n        Logger.error(\"When publishing an answer: #{inspect(error)}\")\n\n        conn\n        |> put_flash(:error, dgettext(\"page-dataset-details\", \"Unable to publish the answer\"))\n    end\n    |> redirect(to: dataset_path(conn, :details, dataset_slug))\n  end\n\n  defp assign_dataset(%Plug.Conn{params: %{\"dataset_slug\" => dataset_slug}} = conn, _options) do\n    assign(\n      conn,\n      :dataset,\n      DB.Repo.get_by(DB.Dataset, slug: dataset_slug)\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/espace_producteur_controller.ex",
    "content": "defmodule TransportWeb.EspaceProducteurController do\n  use TransportWeb, :controller\n  require Logger\n  alias Transport.ImportData\n  import Ecto.Query\n\n  plug(\n    :find_db_dataset_and_api_dataset_or_redirect\n    when action in [:edit_dataset, :new_resource, :reuser_improved_data]\n  )\n\n  plug(\n    :find_db_dataset_and_api_dataset_and_resource_or_redirect\n    when action in [:delete_resource_confirmation, :edit_resource]\n  )\n\n  plug(:find_db_dataset_or_redirect when action in [:upload_logo, :remove_custom_logo])\n\n  plug(\n    :find_db_datasets_or_redirect\n    when action in [:proxy_statistics, :proxy_statistics_csv, :download_statistics, :download_statistics_csv]\n  )\n\n  def espace_producteur(%Plug.Conn{} = conn, _params) do\n    {conn, datasets} =\n      case Map.get(conn.assigns, :datasets_for_user, []) do\n        datasets when is_list(datasets) ->\n          {conn, datasets}\n\n        {:error, _} ->\n          conn = conn |> put_flash(:error, dgettext(\"alert\", \"Unable to get all your resources for the moment\"))\n          {conn, []}\n      end\n\n    conn\n    |> assign(:datasets, datasets)\n    |> assign(:checks, datasets_checks(conn))\n    |> TransportWeb.Session.set_is_producer(datasets)\n    |> render(\"espace_producteur.html\")\n  end\n\n  defp datasets_checks(%Plug.Conn{assigns: %{datasets_for_user: {:error, _}}}), do: %{}\n\n  defp datasets_checks(%Plug.Conn{assigns: %{datasets_for_user: datasets_for_user, datasets_checks: datasets_checks}}) do\n    Enum.map(datasets_for_user, & &1.id) |> Enum.zip(datasets_checks) |> Map.new()\n  end\n\n  defp datasets_checks(%Plug.Conn{}), do: %{}\n\n  def edit_dataset(%Plug.Conn{assigns: %{dataset: %DB.Dataset{} = dataset}} = conn, %{\"dataset_id\" => _}) do\n    # Awkard page, but no real choice: some parts (logo…) are from the local database\n    # While resources list is from the API\n    # Producer wants to edit the dataset and has perhaps just done it: we need fresh info\n    conn\n    |> assign(:dataset, dataset |> DB.Repo.preload(reuser_improved_data: [:resource]))\n    |> assign(:checks, dataset_check(conn, dataset))\n    |> assign(\n      :latest_validation,\n      DB.MultiValidation.dataset_latest_validation(\n        dataset.id,\n        Transport.ValidatorsSelection.validators_for_feature(:espace_producteur_controller)\n      )\n    )\n    |> render(\"edit_dataset.html\")\n  end\n\n  defp dataset_check(%Plug.Conn{} = conn, %DB.Dataset{} = dataset) do\n    datasets_checks(conn) |> Map.filter(fn {dataset_id, _check} -> dataset_id == dataset.id end)\n  end\n\n  def reuser_improved_data(%Plug.Conn{assigns: %{dataset: %DB.Dataset{id: dataset_id}}} = conn, %{\n        \"resource_id\" => resource_id\n      }) do\n    reuser_improved_data =\n      DB.ReuserImprovedData\n      |> where([rid], rid.dataset_id == ^dataset_id and rid.resource_id == ^resource_id)\n      |> preload(:organization)\n      |> DB.Repo.all()\n\n    conn\n    |> assign(:resource, DB.Repo.get!(DB.Resource, resource_id))\n    |> assign(:reuser_improved_data, reuser_improved_data)\n    |> render(\"reuser_improved_data.html\")\n  end\n\n  def upload_logo(\n        %Plug.Conn{assigns: %{dataset: %DB.Dataset{datagouv_id: datagouv_id}}} = conn,\n        %{\"upload\" => %{\"file\" => %Plug.Upload{path: filepath, filename: filename}}}\n      ) do\n    destination_path = \"tmp_#{datagouv_id}#{extension(filename)}\"\n    Transport.S3.stream_to_s3!(:logos, filepath, destination_path)\n\n    %{datagouv_id: datagouv_id, path: destination_path}\n    |> Transport.Jobs.CustomLogoConversionJob.new()\n    |> Oban.insert!()\n\n    DB.FeatureUsage.insert!(:upload_logo, conn.assigns.current_contact.id, %{\n      dataset_datagouv_id: datagouv_id\n    })\n\n    conn\n    |> put_flash(:info, dgettext(\"espace-producteurs\", \"Your logo has been received. It will be replaced soon.\"))\n    |> redirect(to: espace_producteur_path(conn, :espace_producteur))\n  end\n\n  defp extension(filename), do: filename |> Path.extname() |> String.downcase()\n\n  def remove_custom_logo(%Plug.Conn{assigns: %{dataset: %DB.Dataset{} = dataset}} = conn, _) do\n    %DB.Dataset{custom_logo: custom_logo, custom_full_logo: custom_full_logo, datagouv_id: datagouv_id} = dataset\n    bucket_url = Transport.S3.permanent_url(:logos) <> \"/\"\n\n    [custom_logo, custom_full_logo]\n    |> Enum.map(fn url -> String.replace(url, bucket_url, \"\") end)\n    |> Enum.each(fn path -> Transport.S3.delete_object!(:logos, path) end)\n\n    {:ok, %Ecto.Changeset{} = changeset} =\n      DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id, \"custom_logo\" => nil, \"custom_full_logo\" => nil})\n\n    DB.Repo.update!(changeset)\n\n    conn\n    |> put_flash(:info, dgettext(\"espace-producteurs\", \"Your custom logo has been removed.\"))\n    |> redirect(to: espace_producteur_path(conn, :espace_producteur))\n  end\n\n  @spec proxy_statistics(Plug.Conn.t(), map) :: Plug.Conn.t()\n  def proxy_statistics(%Plug.Conn{assigns: %{datasets: datasets}} = conn, _params) do\n    proxy_stats =\n      datasets\n      |> Enum.flat_map(& &1.resources)\n      |> Enum.filter(&DB.Resource.served_by_proxy?/1)\n      # Gotcha: this is a N+1 problem. Okay as long as a single producer\n      # does not have a lot of feeds/there is not a lot of traffic on this page\n      |> Enum.into(%{}, fn %DB.Resource{id: id} = resource ->\n        {id, DB.Metrics.requests_over_last_days(resource, proxy_requests_stats_nb_days())}\n      end)\n\n    conn\n    |> assign(:proxy_stats, proxy_stats)\n    |> assign(:proxy_requests_stats_nb_days, proxy_requests_stats_nb_days())\n    |> render(\"proxy_statistics.html\")\n  end\n\n  def download_statistics(%Plug.Conn{assigns: %{datasets: datasets}} = conn, _params) do\n    resources = Enum.flat_map(datasets, & &1.resources) |> Enum.filter(&DB.Resource.hosted_on_datagouv?/1)\n    year = Date.utc_today().year\n    previous_year = year - 1\n    download_stats = DB.ResourceMonthlyMetric.downloads_for_year(resources, year)\n    download_stats_previous_year = DB.ResourceMonthlyMetric.downloads_for_year(resources, previous_year)\n\n    conn\n    |> assign(:download_stats, download_stats)\n    |> assign(:download_stats_previous_year, download_stats_previous_year)\n    |> assign(:datasets, datasets)\n    |> assign(:year, year)\n    |> assign(:previous_year, previous_year)\n    |> render(\"download_statistics.html\")\n  end\n\n  def proxy_statistics_csv(%Plug.Conn{assigns: %{datasets: datasets}} = conn, _params) do\n    stats =\n      datasets\n      |> Enum.flat_map(& &1.resources)\n      |> Enum.filter(&DB.Resource.served_by_proxy?/1)\n      |> DB.Metrics.proxy_requests()\n\n    filename = \"proxy_statistics-#{Date.utc_today() |> Date.to_iso8601()}.csv\"\n    content = stats |> CSV.encode(headers: true) |> Enum.to_list() |> to_string()\n\n    conn\n    |> put_resp_content_type(\"text/csv\")\n    |> put_resp_header(\"content-disposition\", ~s(attachment; filename=\"#{filename}\"))\n    |> send_resp(200, content)\n  end\n\n  def download_statistics_csv(%Plug.Conn{assigns: %{datasets: datasets}} = conn, _params) do\n    stats = datasets |> DB.ResourceMonthlyMetric.download_statistics()\n\n    filename = \"download_statistics-#{Date.utc_today() |> Date.to_iso8601()}.csv\"\n    content = stats |> CSV.encode(headers: true) |> Enum.to_list() |> to_string()\n\n    conn\n    |> put_resp_content_type(\"text/csv\")\n    |> put_resp_header(\"content-disposition\", ~s(attachment; filename=\"#{filename}\"))\n    |> send_resp(200, content)\n  end\n\n  @spec new_resource(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def new_resource(conn, %{\"dataset_id\" => _dataset_id}) do\n    conn\n    |> assign(:formats, formats_for_dataset(conn))\n    |> assign(:datagouv_resource, nil)\n    |> render(\"resource_form.html\")\n  end\n\n  @spec edit_resource(Plug.Conn.t(), map()) :: Plug.Conn.t()\n  def edit_resource(conn, %{\"dataset_id\" => _dataset_id, \"resource_datagouv_id\" => _resource_datagouv_id}) do\n    conn\n    |> assign(:formats, formats_for_dataset(conn))\n    |> render(\"resource_form.html\")\n  end\n\n  def delete_resource_confirmation(%Plug.Conn{} = conn, %{\n        \"dataset_id\" => _dataset_datagouv_id,\n        \"resource_datagouv_id\" => _resource_datagouv_id\n      }) do\n    conn\n    |> render(\"delete_resource_confirmation.html\")\n  end\n\n  def delete_resource(%Plug.Conn{} = conn, %{\n        \"dataset_datagouv_id\" => dataset_datagouv_id,\n        \"resource_datagouv_id\" => resource_datagouv_id\n      }) do\n    with {:ok, _} <-\n           Datagouvfr.Client.Resources.delete(conn, %{\n             \"dataset_id\" => dataset_datagouv_id,\n             \"resource_id\" => resource_datagouv_id\n           }),\n         dataset when not is_nil(dataset) <-\n           DB.Repo.get_by(DB.Dataset, datagouv_id: dataset_datagouv_id),\n         {:ok, _} <- ImportData.import_dataset_logged(dataset),\n         {:ok, _} <- DB.Dataset.validate(dataset) do\n      Appsignal.increment_counter(\"espace_producteur.delete_resource.success\", 1)\n\n      DB.FeatureUsage.insert!(:delete_resource, conn.assigns.current_contact.id, %{\n        dataset_datagouv_id: dataset_datagouv_id,\n        resource_datagouv_id: resource_datagouv_id\n      })\n\n      conn\n      |> put_flash(:info, dgettext(\"resource\", \"The resource has been deleted\"))\n      |> redirect(to: espace_producteur_path(conn, :espace_producteur))\n    else\n      _ ->\n        Appsignal.increment_counter(\"espace_producteur.delete_resource.error\", 1)\n\n        conn\n        |> put_flash(:error, dgettext(\"resource\", \"Could not delete the resource\"))\n        |> redirect(to: espace_producteur_path(conn, :espace_producteur))\n    end\n  end\n\n  @doc \"\"\"\n  The following function does a POST to the datagouv API to update or create a resource.\n  We don’t check that the user is allowed to update the dataset, as the API will do it for us.\n  We don’t check either before the POST that the dataset is imported on our side.\n  In case of error, the user is redirected to the producer space with an error message\n  instead of rendering again the form: it’s a suboptimal experience, can be improved.\n  \"\"\"\n  @spec post_file(Plug.Conn.t(), map) :: Plug.Conn.t()\n  def post_file(conn, %{\"resource_file\" => %{\"filename\" => filename, \"path\" => path}} = params) do\n    post_file(conn, Map.put(params, \"resource_file\", %Plug.Upload{filename: filename, path: path}))\n  end\n\n  def post_file(conn, %{\"dataset_datagouv_id\" => dataset_datagouv_id} = params) do\n    success_message =\n      if Map.has_key?(params, \"resource_file\") do\n        dgettext(\"resource\", \"File uploaded!\")\n      else\n        dgettext(\"resource\", \"Resource updated with URL!\")\n      end\n\n    params = Map.merge(params, Map.get(params, \"form\", %{}))\n    post_params = datagouv_api_update_params(params)\n\n    with {:ok, _} <- Datagouvfr.Client.Resources.update(conn, post_params),\n         dataset when not is_nil(dataset) <-\n           DB.Repo.get_by(DB.Dataset, datagouv_id: dataset_datagouv_id),\n         {:ok, _} <- ImportData.import_dataset_logged(dataset),\n         {:ok, _} <- DB.Dataset.validate(dataset) do\n      Appsignal.increment_counter(\"espace_producteur.post_file.success\", 1)\n\n      DB.FeatureUsage.insert!(:upload_file, conn.assigns.current_contact.id, %{\n        dataset_datagouv_id: dataset_datagouv_id,\n        format: params[\"format\"]\n      })\n\n      conn\n      |> put_flash(:info, success_message)\n      |> redirect(to: dataset_path(conn, :details, params[\"dataset_datagouv_id\"]))\n    else\n      {:error, error} ->\n        Appsignal.increment_counter(\"espace_producteur.post_file.error\", 1)\n\n        Logger.error(\n          \"Unable to update resource #{params[\"resource_datagouv_id\"]} of dataset #{params[\"dataset_datagouv_id\"]}, error: #{inspect(error)}\"\n        )\n\n        conn\n        |> put_flash(:error, dgettext(\"resource\", \"Unable to upload file\"))\n        |> redirect(to: espace_producteur_path(conn, :espace_producteur))\n\n      nil ->\n        Appsignal.increment_counter(\"espace_producteur.post_file.error\", 1)\n        Logger.error(\"Unable to get dataset with datagouv_id: #{params[\"dataset_datagouv_id\"]}\")\n\n        conn\n        |> put_flash(:error, dgettext(\"resource\", \"Unable to upload file\"))\n        |> redirect(to: espace_producteur_path(conn, :espace_producteur))\n    end\n  end\n\n  def discussions(%Plug.Conn{} = conn, _params) do\n    unanswered_discussions =\n      conn.assigns.datasets_for_user\n      |> Enum.map(fn %DB.Dataset{} = dataset -> {dataset, unanswered_discussions(dataset)} end)\n      |> Enum.reject(fn {_dataset, discussions} -> Enum.empty?(discussions) end)\n\n    conn\n    |> assign(:unanswered_discussions, unanswered_discussions)\n    |> render(\"discussions.html\")\n  end\n\n  defp unanswered_discussions(%DB.Dataset{} = dataset) do\n    team_member_ids = team_member_ids(dataset)\n\n    Datagouvfr.Client.Discussions.Wrapper.get(dataset.datagouv_id)\n    |> Enum.reject(&discussion_closed?/1)\n    |> Enum.reject(&answered_by_team_member(&1, team_member_ids))\n  end\n\n  def discussion_closed?(%{\"closed\" => closed}), do: not is_nil(closed)\n\n  def answered_by_team_member(%{\"discussion\" => comment_list}, team_member_ids) do\n    %{\"posted_by\" => %{\"id\" => author_id}} = comment_list |> List.last()\n    author_id in team_member_ids\n  end\n\n  defp team_member_ids(%DB.Dataset{organization_id: organization_id}) do\n    case Datagouvfr.Client.Organization.Wrapper.get(organization_id, restrict_fields: true) do\n      {:ok, %{\"members\" => members}} ->\n        Enum.map(members, fn member -> member[\"user\"][\"id\"] end)\n\n      _ ->\n        []\n    end\n  end\n\n  defp proxy_requests_stats_nb_days, do: 15\n\n  def formats_for_dataset(%Plug.Conn{assigns: %{dataset: %DB.Dataset{type: dataset_type}}}) do\n    DB.Dataset.base_query()\n    |> DB.Resource.join_dataset_with_resource()\n    |> where([dataset: d], d.type == ^dataset_type)\n    |> select([resource: r], r.format)\n    |> group_by([resource: r], r.format)\n    |> order_by([resource: r], {:desc, count(r.id)})\n    |> DB.Repo.all()\n  end\n\n  defp find_db_datasets_or_redirect(%Plug.Conn{} = conn, _options) do\n    conn.assigns.datasets_for_user\n    |> case do\n      datasets when is_list(datasets) ->\n        conn |> assign(:datasets, datasets)\n\n      {:error, _} ->\n        conn\n        |> put_flash(:error, dgettext(\"alert\", \"Unable to get all your resources for the moment\"))\n        |> redirect(to: espace_producteur_path(conn, :espace_producteur))\n        |> halt()\n    end\n  end\n\n  defp find_db_dataset_or_redirect(%Plug.Conn{path_params: %{\"dataset_id\" => dataset_id}} = conn, _options) do\n    case find_dataset_for_user(conn, dataset_id) do\n      %DB.Dataset{} = dataset ->\n        conn |> assign(:dataset, dataset)\n\n      nil ->\n        conn\n        |> put_flash(:error, dgettext(\"alert\", \"Unable to get this dataset for the moment\"))\n        |> redirect(to: espace_producteur_path(conn, :espace_producteur))\n        |> halt()\n    end\n  end\n\n  defp find_db_dataset_and_api_dataset_or_redirect(\n         %Plug.Conn{path_params: %{\"dataset_id\" => dataset_id}} = conn,\n         _options\n       ) do\n    with %DB.Dataset{datagouv_id: datagouv_id} = dataset <- find_dataset_for_user(conn, dataset_id),\n         {:ok, datagouv_dataset} <- Datagouvfr.Client.Datasets.get(datagouv_id) do\n      conn\n      |> assign(:dataset, dataset)\n      |> assign(:datagouv_dataset, datagouv_dataset)\n    else\n      _ ->\n        conn\n        |> put_flash(:error, dgettext(\"alert\", \"Unable to get this dataset for the moment\"))\n        |> redirect(to: espace_producteur_path(conn, :espace_producteur))\n        |> halt()\n    end\n  end\n\n  defp find_db_dataset_and_api_dataset_and_resource_or_redirect(\n         %Plug.Conn{path_params: %{\"dataset_id\" => dataset_id, \"resource_datagouv_id\" => resource_datagouv_id}} = conn,\n         _options\n       ) do\n    with %DB.Dataset{datagouv_id: datagouv_id} = dataset <- find_dataset_for_user(conn, dataset_id),\n         {:ok, datagouv_dataset} <- Datagouvfr.Client.Datasets.get(datagouv_id),\n         datagouv_resource when not is_nil(datagouv_resource) <-\n           assign_datagouv_resource_from_dataset_payload(datagouv_dataset, resource_datagouv_id),\n         resource when not is_nil(datagouv_resource) <-\n           assign_resource_from_dataset_payload(dataset, resource_datagouv_id) do\n      conn\n      |> assign(:dataset, dataset)\n      |> assign(:datagouv_dataset, datagouv_dataset)\n      |> assign(:datagouv_resource, datagouv_resource)\n      |> assign(:resource, resource)\n    else\n      _ ->\n        conn\n        |> put_flash(:error, dgettext(\"alert\", \"Unable to get this dataset for the moment\"))\n        |> redirect(to: espace_producteur_path(conn, :espace_producteur))\n        |> halt()\n    end\n  end\n\n  @spec find_dataset_for_user(Plug.Conn.t(), binary()) :: DB.Dataset.t() | nil\n  defp find_dataset_for_user(%Plug.Conn{} = conn, dataset_id_str) do\n    {dataset_id, \"\"} = Integer.parse(dataset_id_str)\n\n    conn.assigns.datasets_for_user\n    |> case do\n      datasets when is_list(datasets) -> datasets\n      {:error, _} -> []\n    end\n    |> Enum.find(fn %DB.Dataset{id: id} -> id == dataset_id end)\n  end\n\n  defp assign_datagouv_resource_from_dataset_payload(dataset, resource_id) do\n    Enum.find(dataset[\"resources\"], &(&1[\"id\"] == resource_id))\n  end\n\n  defp assign_resource_from_dataset_payload(dataset, resource_id) do\n    Enum.find(dataset.resources, &(&1.datagouv_id == resource_id))\n  end\n\n  defp datagouv_api_update_params(params) do\n    post_params = Map.put(params, \"dataset_id\", params[\"dataset_datagouv_id\"])\n\n    post_params =\n      if params[\"resource_datagouv_id\"] do\n        Map.put(post_params, \"resource_id\", params[\"resource_datagouv_id\"])\n      else\n        post_params\n      end\n\n    Map.take(post_params, [\"title\", \"format\", \"url\", \"resource_file\", \"dataset_id\", \"resource_id\"])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/explore_controller.ex",
    "content": "defmodule TransportWeb.ExploreController do\n  use TransportWeb, :controller\n\n  def index(%Plug.Conn{} = conn, params) when params == %{} do\n    query_params =\n      query_params(%{})\n      |> Map.new(fn {k, _} ->\n        new_key = String.replace(to_string(k), \"_\", \"-\")\n        {new_key, \"yes\"}\n      end)\n\n    conn |> redirect(to: explore_path(conn, :index, query_params))\n  end\n\n  def index(%Plug.Conn{} = conn, params) do\n    consolidated_datasets_assigns =\n      Transport.ConsolidatedDataset.geo_data_datasets()\n      |> Map.new(&{String.to_atom(\"#{&1}_dataset\"), Transport.ConsolidatedDataset.dataset(&1)})\n\n    conn\n    |> merge_assigns(query_params(params))\n    |> merge_assigns(consolidated_datasets_assigns)\n    |> render(\"explore.html\")\n  end\n\n  def vehicle_positions(conn, _params) do\n    conn |> redirect(to: explore_path(conn, :index))\n  end\n\n  defp national_map_disabled?, do: Application.fetch_env!(:transport, :disable_national_gtfs_map)\n\n  def gtfs_stops(conn, _params) do\n    if national_map_disabled?() do\n      conn\n      |> put_status(:not_found)\n      |> put_view(ErrorView)\n      |> assign(:custom_message, dgettext(\"errors\", \"Feature temporarily disabled\"))\n      |> render(\"503.html\")\n    else\n      conn\n      |> assign(:page_title, dgettext(\"explore\", \"Consolidated GTFS stops map\"))\n      |> render(\"gtfs_stops.html\")\n    end\n  end\n\n  defp query_params(params) do\n    %{\n      gtfs_rt: params[\"gtfs-rt\"] == \"yes\",\n      bnlc: params[\"bnlc\"] == \"yes\",\n      zfe: params[\"zfe\"] == \"yes\",\n      irve: params[\"irve\"] == \"yes\",\n      gbfs_stations: params[\"gbfs-stations\"] == \"yes\"\n    }\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/gbfs_analyzer_controller.ex",
    "content": "defmodule TransportWeb.GbfsAnalyzerController do\n  use TransportWeb, :controller\n\n  def index(conn, %{\"url\" => gbfs_url}) when gbfs_url !== \"\" do\n    metadata = Transport.GBFSMetadata.Wrapper.compute_feed_metadata(gbfs_url)\n\n    conn\n    |> assign(:gbfs_url, gbfs_url)\n    |> assign(:metadata, metadata)\n    |> render(\"index.html\")\n  end\n\n  def index(conn, _params) do\n    conn\n    |> redirect(\n      to:\n        live_path(conn, TransportWeb.Live.OnDemandValidationSelectLive,\n          type: \"gbfs\",\n          selected_tile: \"vehicles-sharing\",\n          selected_subtile: \"gbfs\"\n        )\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/gbfs_to_geojson_controller.ex",
    "content": "defmodule TransportWeb.GbfsToGeojsonController do\n  use TransportWeb, :controller\n  alias Transport.GbfsToGeojson\n\n  plug(CORSPlug, origin: \"*\", expose: [\"*\"], credentials: false)\n\n  def convert(conn, %{\"url\" => gbfs_url} = params) do\n    resp = GbfsToGeojson.gbfs_geojsons(gbfs_url, params)\n    conn |> json(resp)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/geojson_conversion_controller.ex",
    "content": "defmodule TransportWeb.GeojsonConversionController do\n  use TransportWeb, :controller\n\n  def index(%Plug.Conn{} = conn, _) do\n    conn |> render(\"index.html\")\n  end\n\n  def convert(%Plug.Conn{} = conn, %{\"upload\" => upload_params}) do\n    file_path = upload_params[\"file\"].path\n\n    conn =\n      case call_geojson_converter(file_path) do\n        {:ok, res} ->\n          conn\n          |> Plug.Conn.resp(200, res)\n\n        {:error, err_msg} ->\n          conn |> Plug.Conn.resp(400, err_msg)\n      end\n\n    conn\n    |> Plug.Conn.send_resp()\n  end\n\n  def call_geojson_converter(file_path) do\n    binary_path = Path.join(Application.fetch_env!(:transport, :transport_tools_folder), \"gtfs-geojson\")\n\n    case Rambo.run(binary_path, [\"--input\", file_path]) do\n      {:ok, %Rambo{out: res}} -> {:ok, res}\n      {:error, %Rambo{err: err_msg}} -> {:error, err_msg}\n      {:error, _} = r -> r\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/landing_pages_controller.ex",
    "content": "defmodule TransportWeb.LandingPagesController do\n  use TransportWeb, :controller\n\n  def vls(conn, _params) do\n    conn\n    |> assign(:seo_page, \"vls\")\n    |> assign(:contact_email, Application.fetch_env!(:transport, :contact_email))\n    |> render(\"vls.html\", statistics())\n  end\n\n  defp statistics do\n    Transport.Cache.fetch(\"landing-vls-stats\", &compute_statistics/0, :timer.hours(12))\n  end\n\n  defp compute_statistics do\n    # For now it's computed by hand\n    national_coverage = 70\n    vehicles = 57_000\n\n    resources = DB.Resource.count_by_format(\"gbfs\")\n\n    %{national_coverage: national_coverage, resources: resources, vehicles: vehicles}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/page_controller.ex",
    "content": "defmodule TransportWeb.PageController do\n  use TransportWeb, :controller\n  alias DB.{AOM, Dataset, Region, Repo}\n  alias Transport.CachedFiles\n  import Ecto.Query\n  import TransportWeb.DatasetView, only: [icon_type_path: 1]\n  import TransportWeb.Router.Helpers\n\n  def index(conn, _params) do\n    conn\n    |> merge_assigns(home_index_stats())\n    |> assign(:tiles, home_tiles(conn) |> Enum.map(&patch_vls_tiles/1))\n    |> put_breaking_news(DB.BreakingNews.get_breaking_news())\n    |> render(\"index.html\")\n  end\n\n  defp home_index_stats do\n    # with HOTFIX for https://github.com/etalab/transport-site/issues/3609\n    # combined with the fact our HTTP monitor checks the url every minute, should\n    # allow regular traffic for most users\n    Transport.Cache.fetch(\n      \"home-index-stats\",\n      fn -> compute_home_index_stats() end,\n      Transport.PreemptiveHomeStatsCache.cache_ttl()\n    )\n  end\n\n  defp put_breaking_news(conn, %{level: level, msg: msg}) do\n    # The flash reason should match the view _breaking_news.html.heex\n    conn |> put_flash(String.to_existing_atom(\"breaking_news_#{level}\"), msg)\n  end\n\n  defp put_breaking_news(conn, %{}), do: conn\n\n  def not_found(conn, _params) do\n    conn\n    |> put_status(:not_found)\n    |> put_view(ErrorView)\n    |> render(\"404.html\")\n  end\n\n  def compute_home_index_stats do\n    [\n      count_by_type: Dataset.count_by_type(),\n      count_regions: count_regions(),\n      count_aoms: Repo.aggregate(AOM, :count, :id),\n      count_aoms_with_dataset: count_aoms_with_dataset(),\n      count_transport_offers: count_transport_offers(),\n      percent_population: percent_population(),\n      facilitators: CachedFiles.facilitators()\n    ]\n  end\n\n  def login(conn, params) do\n    conn\n    |> put_session(:redirect_path, Map.get(params, \"redirect_path\", \"/\"))\n    |> render(\"login.html\")\n  end\n\n  defp single_page(conn, %{\"content\" => content, \"menu\" => menu}) do\n    conn\n    |> assign(:content, content)\n    |> assign(:menu_items, menu)\n    |> render(\"single_page.html\")\n  end\n\n  defp single_page(conn, %{\"page\" => page}) do\n    conn\n    |> assign(:content, nil)\n    |> assign(:menu_items, nil)\n    |> assign(:page, page <> \".html\")\n    |> render(\"single_page.html\")\n  end\n\n  def accessibility(conn, _params) do\n    single_page(conn, %{\"page\" => \"accessibility\"})\n  end\n\n  def missions(conn, _params) do\n    single_page(conn, %{\"page\" => \"missions\"})\n  end\n\n  def infos_producteurs(conn, _params) do\n    conn |> render(\"infos_producteurs.html\")\n  end\n\n  def nouveautes(conn, _params) do\n    markdown = File.read!(__DIR__ <> \"/../templates/page/nouveautes.html.md\")\n    content = TransportWeb.MarkdownHandler.to_html_with_anchors(markdown)\n    menu_title = content |> Floki.parse_document!() |> Floki.find(\"h1\") |> Floki.text() |> String.replace(\"# \", \"\")\n\n    conn\n    |> assign(:page_title, dgettext(\"page-nouveautes\", \"New features\"))\n    |> assign(:menu_title, menu_title)\n    |> single_page(%{\"content\" => content, \"menu\" => generate_menu(content)})\n  end\n\n  def infos_reutilisateurs(%Plug.Conn{} = conn, _params), do: render(conn, \"infos_reutilisateurs.html\")\n\n  def robots_txt(%Plug.Conn{} = conn, _params) do\n    # See http://www.robotstxt.org/robotstxt.html\n    # for documentation on how to use the robots.txt file\n    app_env = Application.fetch_env!(:transport, :app_env)\n    text(conn, robots_txt_content(app_env))\n  end\n\n  def robots_txt_content(:staging = _app_env) do\n    \"\"\"\n    User-agent: *\n    Disallow: /\n    \"\"\"\n  end\n\n  def robots_txt_content(_app_env) do\n    \"\"\"\n    User-agent: *\n    Allow: /\n    Disallow: /backoffice/\n    Disallow: /validation/*\n    Disallow: /login/*\n    Disallow: /resources/conversions/*\n    Sitemap: #{page_url(TransportWeb.Endpoint, :sitemap_txt)}\n    \"\"\"\n  end\n\n  def security_txt(conn, _params) do\n    expires = DateTime.utc_now() |> DateTime.add(1 * 24 * 3600 * 7, :second) |> DateTime.to_iso8601()\n\n    content = \"\"\"\n    Contact: mailto:#{Application.fetch_env!(:transport, :security_email)}\n    Preferred-Languages: fr, en\n    Expires: #{expires}\n    \"\"\"\n\n    conn |> text(content)\n  end\n\n  def sitemap_txt(%Plug.Conn{} = conn, _params) do\n    urls =\n      Transport.Cache.fetch(\n        \"sitemap_txt_urls\",\n        fn ->\n          dataset_types = DB.Dataset.types()\n          dataset_slugs = DB.Dataset.base_query() |> select([dataset: d], d.slug) |> DB.Repo.all()\n          region_insees = DB.Region |> select([r], r.insee) |> where([r], not is_nil(r.insee)) |> DB.Repo.all()\n          departement_insees = DB.Departement |> select([r], r.insee) |> DB.Repo.all()\n          epci_insees = DB.EPCI |> select([a], a.insee) |> DB.Repo.all()\n          commune_insees = DB.Commune |> select([c], c.insee) |> DB.Repo.all()\n\n          [\n            page_url(conn, :index),\n            page_url(conn, :missions),\n            page_url(conn, :nouveautes),\n            page_url(conn, :accessibility),\n            page_url(conn, :infos_producteurs),\n            page_url(conn, :infos_reutilisateurs),\n            page_url(conn, :robots_txt),\n            page_url(conn, :security_txt),\n            page_url(conn, :humans_txt),\n            espace_producteur_url(conn, :espace_producteur),\n            reuser_space_url(conn, :espace_reutilisateur),\n            reuse_url(conn, :index),\n            stats_url(conn, :index),\n            explore_url(conn, :vehicle_positions),\n            explore_url(conn, :gtfs_stops),\n            session_url(conn, :new),\n            landing_pages_url(conn, :vls),\n            live_url(conn, TransportWeb.Live.OnDemandValidationSelectLive),\n            live_url(conn, TransportWeb.Live.GTFSDiffSelectLive),\n            live_url(conn, TransportWeb.Live.SIRIQuerierLive),\n            dataset_url(conn, :index)\n          ] ++\n            Enum.map(dataset_types, &dataset_url(conn, :index, type: &1)) ++\n            Enum.map(dataset_slugs, &dataset_url(conn, :details, &1)) ++\n            Enum.map(region_insees, &dataset_url(conn, :by_region, &1)) ++\n            Enum.map(departement_insees, &dataset_url(conn, :by_departement_insee, &1)) ++\n            Enum.map(epci_insees, &dataset_url(conn, :by_epci, &1)) ++\n            Enum.map(commune_insees, &dataset_url(conn, :by_commune_insee, &1))\n        end,\n        :timer.hours(1)\n      )\n\n    conn |> text(Enum.join(urls, \"\\n\"))\n  end\n\n  def humans_txt(conn, _params) do\n    http_client = Transport.Shared.Wrapper.HTTPoison.impl()\n\n    authors =\n      case http_client.get!(\"https://beta.gouv.fr/api/v2.5/authors.json\") do\n        %HTTPoison.Response{status_code: 200, body: body} -> body |> Jason.decode!()\n        _ -> %{}\n      end\n\n    content =\n      case http_client.get!(\"https://beta.gouv.fr/api/v2.5/startups_details.json\") do\n        %HTTPoison.Response{status_code: 200, body: body} ->\n          transport_details = body |> Jason.decode!() |> Map.fetch!(\"transport\")\n          humans_txt_build_content(authors, transport_details)\n\n        _ ->\n          \"\"\n      end\n\n    conn |> text(content)\n  end\n\n  defp humans_txt_build_content(authors, transport_details) do\n    authors = authors |> Enum.into(%{}, fn %{\"id\" => id} = data -> {id, data} end)\n    author_fullname = fn member_id -> get_in(authors, [member_id, \"fullname\"]) end\n\n    active_members =\n      transport_details |> Map.get(\"active_members\", []) |> Enum.map(&author_fullname.(&1)) |> Enum.sort()\n\n    previous_members =\n      transport_details\n      |> Map.take([\"previous_members\", \"expired_members\"])\n      |> Map.values()\n      |> List.flatten()\n      |> Enum.map(&author_fullname.(&1))\n      |> Enum.sort()\n      |> Enum.dedup()\n\n    [\"# Membres actuels\", active_members, \"\", \"# Anciens membres\", previous_members]\n    |> List.flatten()\n    |> Enum.reject(&is_nil/1)\n    |> Enum.join(\"\\n\")\n  end\n\n  defp aoms_with_dataset do\n    aoms_legal_owners =\n      Dataset.base_query()\n      |> join(:inner, [dataset: d], a in assoc(d, :legal_owners_aom), as: :aom)\n      |> select([aom: a], a.id)\n\n    from(a in AOM, where: a.id in subquery(aoms_legal_owners))\n  end\n\n  defp count_aoms_with_dataset, do: Repo.aggregate(aoms_with_dataset(), :count, :id)\n\n  defp population_with_dataset, do: Repo.aggregate(aoms_with_dataset(), :sum, :population) || 0\n\n  defp population_totale, do: Repo.aggregate(AOM, :sum, :population)\n\n  defp percent_population, do: percent(population_with_dataset(), population_totale())\n\n  defp percent(_a, 0), do: 0\n  defp percent(_a, nil), do: 0\n  defp percent(a, b), do: Float.round(a / b * 100, 1)\n\n  defp count_regions do\n    Region |> where([r], r.nom != \"National\") |> select([r], count(r.id)) |> Repo.one!()\n  end\n\n  defmodule Tile do\n    @enforce_keys [:link, :icon, :title, :count]\n    defstruct [:link, :icon, :title, :count, :type, :documentation_url]\n  end\n\n  @doc \"\"\"\n  Build the tiles displayed on the home page.\n  The home tile structs are also used on every dataset listing page to find the title of the page:\n  the URL params are matched againgt home page tiles \"link\"s,\n  and when there is a match the \"title\" of the tile is used to set the dataset listing page title.\n  \"\"\"\n\n  def home_tiles(conn) do\n    # Fetch stats once here to avoid multiple cache fetch that puts noise in logs\n    stats = home_index_stats()\n\n    [\n      type_tile(conn, stats, \"public-transit\"),\n      type_tile(conn, stats, \"vehicles-sharing\"),\n      type_tile(conn, stats, \"bike-data\"),\n      type_tile(conn, stats, \"road-data\"),\n      type_tile(conn, stats, \"carpooling-areas\"),\n      type_tile(conn, stats, \"carpooling-lines\"),\n      type_tile(conn, stats, \"carpooling-offers\"),\n      type_tile(conn, stats, \"charging-stations\"),\n      type_tile(conn, stats, \"informations\"),\n      type_tile(conn, stats, \"pedestrian-path\")\n    ]\n  end\n\n  defp patch_vls_tiles(%Tile{type: \"vehicles-sharing\"} = tile) do\n    %{tile | link: \"/landing-vls\"}\n  end\n\n  defp patch_vls_tiles(tile), do: tile\n\n  defp type_tile(conn, stats, type, options \\\\ []) do\n    %Tile{\n      type: type,\n      link: dataset_path(conn, :index, type: type),\n      icon: icon_type_path(type),\n      title: DB.Dataset.type_to_str(type),\n      count: Keyword.fetch!(stats, :count_by_type)[type],\n      documentation_url: Keyword.get(options, :documentation_url)\n    }\n  end\n\n  defp count_transport_offers do\n    DB.Dataset.base_query()\n    |> join(:inner, [dataset: d], o in assoc(d, :offers), as: :offer)\n    |> select([offer: o], count(o.id, :distinct))\n    |> DB.Repo.one!()\n  end\n\n  defp generate_menu(html) do\n    html\n    |> Floki.parse_fragment!()\n    |> Floki.find(\"h2, h3, h4\")\n    |> Enum.reduce([], &accumulate_tags/2)\n    |> Enum.reverse()\n  end\n\n  defp accumulate_tags({tag, _attrs, children} = node, acc) do\n    id = Floki.attribute(node, \"id\")\n    text = Floki.text(children) |> String.trim_leading(\"# \\n\")\n\n    case tag do\n      \"h2\" ->\n        # Start a new H2 block with an empty list for sub-items\n        [%{title: text, id: id, sub_items: []} | acc]\n\n      # h3 or h4\n      _sub ->\n        case acc do\n          [current_h2 | rest] ->\n            # Add this sub-heading to the most recent H2\n            updated_h2 = %{current_h2 | sub_items: current_h2.sub_items ++ [%{title: text, id: id}]}\n            [updated_h2 | rest]\n\n          [] ->\n            # Handle case where h3/h4 appears before any h2\n            acc\n        end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/pagination_helpers.ex",
    "content": "defmodule TransportWeb.PaginationHelpers do\n  @moduledoc \"\"\"\n  Helpers pour la pagination utlisés par différentes pages\n  \"\"\"\n  alias Scrivener.HTML\n\n  def make_pagination_config(params, page_size \\\\ 20)\n\n  def make_pagination_config(%{\"page\" => page_number}, page_size) do\n    page_number =\n      case Integer.parse(page_number) do\n        :error -> 1\n        {int, _} -> int\n      end\n\n    %Scrivener.Config{page_number: page_number, page_size: page_size}\n  end\n\n  def make_pagination_config(_, page_size), do: %Scrivener.Config{page_number: 1, page_size: page_size}\n\n  def pagination_links(_, %{total_pages: 1}), do: {:safe, \"\"}\n\n  def pagination_links(conn, paginator) do\n    case remove_empty_q(conn.params) do\n      [] -> HTML.pagination_links(conn, paginator, view_style: :bootstrap_v4)\n      args -> HTML.pagination_links(conn, paginator, [view_style: :bootstrap_v4] ++ args)\n    end\n  end\n\n  def pagination_links(_, %{total_pages: 1}, _), do: {:safe, \"\"}\n\n  def pagination_links(conn, paginator, opts) do\n    case remove_empty_q(opts) do\n      [] -> HTML.pagination_links(conn, paginator, view_style: :bootstrap_v4)\n      opts -> HTML.pagination_links(conn, paginator, [view_style: :bootstrap_v4] ++ opts)\n    end\n  end\n\n  def pagination_links(_, %{total_pages: 1}, _, _), do: {:safe, \"\"}\n\n  def pagination_links(conn, paginator, args, opts) do\n    case remove_empty_q(opts) do\n      [] -> HTML.pagination_links(conn, paginator, args, view_style: :bootstrap_v4)\n      opts -> HTML.pagination_links(conn, paginator, args, [view_style: :bootstrap_v4] ++ opts)\n    end\n  end\n\n  defp remove_empty_q(args) when is_map(args) do\n    remove_empty_q(for {key, value} <- args, do: {String.to_atom(key), value})\n  end\n\n  defp remove_empty_q(args) do\n    args = Keyword.delete(args, :page)\n\n    case Keyword.get(args, :q) do\n      \"\" -> Keyword.delete(args, :q)\n      _ -> args\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/resource_controller.ex",
    "content": "defmodule TransportWeb.ResourceController do\n  use TransportWeb, :controller\n  alias DB.{Repo, Resource}\n  alias Transport.DataVisualization\n  import Ecto.Query\n\n  import TransportWeb.ResourceView, only: [latest_validations_nb_days: 0]\n  import TransportWeb.DatasetView, only: [availability_number_days: 0]\n\n  @netex_issues_page_size 10\n\n  def enabled_validators, do: Transport.ValidatorsSelection.validators_for_feature(:resource_controller) |> MapSet.new()\n\n  def details(conn, %{\"id\" => id} = params) do\n    case load_resource(id) do\n      nil ->\n        not_found(conn)\n\n      resource ->\n        resource_history = DB.ResourceHistory.latest_resource_history(id)\n        validation = latest_validation(resource, resource_history)\n\n        conn =\n          conn\n          |> assign(\n            :uptime_per_day,\n            DB.ResourceUnavailability.uptime_per_day(resource, availability_number_days())\n          )\n          |> assign(:resource_history, resource_history)\n          |> assign(:gtfs_rt_feed, gtfs_rt_feed(conn, resource))\n          |> assign(:gtfs_rt_entities, gtfs_rt_entities(resource))\n          |> assign(:latest_validations_details, latest_validations_details(resource))\n          |> assign(:validation, validation)\n          |> put_resource_flash(resource.dataset.is_active)\n\n        cond do\n          Resource.gtfs?(resource) and Transport.Validators.GTFSTransport.mine?(validation) ->\n            render_gtfs_details(conn, params, resource, validation)\n\n          Resource.netex?(resource) ->\n            render_netex_details(conn, params, resource, validation)\n\n          true ->\n            render_details(conn, resource)\n        end\n    end\n  end\n\n  defp not_found(conn) do\n    conn\n    |> put_status(:not_found)\n    |> put_view(ErrorView)\n    |> render(\"404.html\")\n  end\n\n  defp load_resource(id) do\n    Resource\n    |> preload([:resources_related, dataset: [:resources, :declarative_spatial_areas]])\n    |> Repo.get(id)\n  end\n\n  def gtfs_rt_entities(%Resource{format: \"gtfs-rt\", id: id}) do\n    recent_limit = Transport.Jobs.GTFSRTMetadataJob.datetime_limit()\n\n    DB.ResourceMetadata\n    |> where([rm], rm.resource_id == ^id and rm.inserted_at > ^recent_limit)\n    |> select([rm], fragment(\"DISTINCT(UNNEST(features))\"))\n    |> DB.Repo.all()\n    |> Enum.sort()\n  end\n\n  def gtfs_rt_entities(%Resource{}), do: nil\n\n  def latest_validations_details(%Resource{format: \"gtfs-rt\", id: id}) do\n    validations =\n      DB.MultiValidation.resource_latest_validations(\n        id,\n        Transport.Validators.GTFSRT,\n        DateTime.utc_now() |> DateTime.add(-latest_validations_nb_days(), :day),\n        include_result: true\n      )\n\n    nb_validations = Enum.count(validations)\n\n    validations\n    |> Enum.flat_map(fn %DB.MultiValidation{result: result} -> Map.get(result, \"errors\", []) end)\n    |> Enum.group_by(&Map.fetch!(&1, \"error_id\"), &Map.take(&1, [\"description\", \"errors_count\"]))\n    |> Enum.into(%{}, fn {error_id, validations} ->\n      {error_id,\n       %{\n         \"description\" => validations |> hd() |> Map.get(\"description\"),\n         \"errors_count\" => validations |> Enum.map(& &1[\"errors_count\"]) |> Enum.sum(),\n         \"occurence\" => length(validations),\n         \"percentage\" => (length(validations) / nb_validations * 100) |> round()\n       }}\n    end)\n  end\n\n  def latest_validations_details(%Resource{}), do: nil\n\n  defp gtfs_rt_feed(conn, %Resource{format: \"gtfs-rt\", url: url, id: id}) do\n    lang = get_session(conn, :locale)\n\n    Transport.Cache.fetch(\n      \"gtfs_rt_feed_#{id}_#{lang}\",\n      fn ->\n        case Transport.GTFSRT.decode_remote_feed(url) do\n          {:ok, feed} ->\n            %{\n              alerts: Transport.GTFSRT.service_alerts_for_display(feed, lang),\n              feed_is_too_old: Transport.GTFSRT.feed_is_too_old?(feed),\n              feed_timestamp_delay: Transport.GTFSRT.feed_timestamp_delay(feed),\n              feed: feed\n            }\n\n          {:error, _} ->\n            :error\n        end\n      end,\n      :timer.minutes(5)\n    )\n  end\n\n  defp gtfs_rt_feed(_conn, %Resource{}), do: nil\n\n  defp put_resource_flash(conn, false = _dataset_active) do\n    conn\n    |> put_flash(\n      :error,\n      dgettext(\n        \"resource\",\n        \"This resource belongs to a dataset that has been deleted from data.gouv.fr\"\n      )\n    )\n  end\n\n  defp put_resource_flash(conn, _), do: conn\n\n  defp latest_validation(%Resource{id: resource_id} = resource, latest_resource_history) do\n    # Swap-out the validator for GTFS-Flex\n    validators =\n      if not is_nil(latest_resource_history) and DB.ResourceHistory.gtfs_flex?(latest_resource_history) do\n        [Transport.Validators.MobilityDataGTFSValidator]\n      else\n        resource |> Transport.ValidatorsSelection.validators() |> Enum.filter(&(&1 in enabled_validators()))\n      end\n\n    validator =\n      cond do\n        Enum.count(validators) == 1 -> hd(validators)\n        Enum.empty?(validators) -> nil\n      end\n\n    netex? = validator == Transport.Validators.NeTEx.Validator\n\n    DB.MultiValidation.resource_latest_validation(resource_id, validator,\n      include_result: not netex?,\n      include_binary_result: netex?\n    )\n  end\n\n  def render_details(conn, resource) do\n    conn |> assign(:resource, resource) |> render(\"details.html\")\n  end\n\n  defp render_gtfs_details(conn, params, resource, validation) do\n    config = make_pagination_config(params)\n\n    {validation_details, issues} = build_gtfs_validation_details(validation, params)\n\n    issue_type =\n      case params[\"issue_type\"] do\n        nil -> Transport.Validators.GTFSTransport.issue_type(issues)\n        issue_type -> issue_type\n      end\n\n    conn\n    |> assign_base_resource_details(resource, validation_details)\n    |> assign(:issues, Scrivener.paginate(issues, config))\n    |> assign(:validator, Transport.Validators.GTFSTransport)\n    |> assign(:data_vis, encoded_data_vis(issue_type, validation))\n    |> render(\"gtfs_details.html\")\n  end\n\n  defp build_gtfs_validation_details(nil, _params), do: {{nil, nil, nil, []}, []}\n\n  defp build_gtfs_validation_details(%{result: validation_result, metadata: metadata = %DB.ResourceMetadata{}}, params) do\n    summary = Transport.Validators.GTFSTransport.summary(validation_result)\n    stats = Transport.Validators.GTFSTransport.count_by_severity(validation_result)\n    issues = Transport.Validators.GTFSTransport.get_issues(validation_result, params)\n\n    {{summary, stats, metadata.metadata, metadata.modes}, issues}\n  end\n\n  defp render_netex_details(conn, params, resource, validation) do\n    config = make_pagination_config(params, @netex_issues_page_size)\n\n    {results_adapter, validation_details, issues, errors_template, max_severity, xsd_errors} =\n      build_netex_validation_details(validation, params, config)\n\n    {filter, pagination} = issues\n\n    validation_report_url =\n      if download_validation_report?(validation, max_severity) do\n        DB.Resource.download_validation_report_url(conn, resource)\n      end\n\n    conn\n    |> assign_base_resource_details(resource, validation_details)\n    |> assign(:validation_report_url, validation_report_url)\n    |> assign(:filter, filter)\n    |> assign(:issues, paginate_netex_results(pagination, config))\n    |> assign(:xsd_errors, xsd_errors)\n    |> assign(:errors_template, errors_template)\n    |> assign(:results_adapter, results_adapter)\n    |> assign(:max_severity, max_severity)\n    |> assign(:data_vis, nil)\n    |> render(\"netex_details.html\")\n  end\n\n  defp download_validation_report?(%DB.MultiValidation{binary_result: nil}, _max_severity), do: false\n  defp download_validation_report?(_binary_result, %{\"max_level\" => \"NoError\"}), do: false\n  defp download_validation_report?(_binary_result, _max_severity), do: true\n\n  # For NeTEx results we avoid loading every entries. We emulate\n  # Scrivener.paginate based on the total count.\n  def paginate_netex_results({total_entries, issues}, config) do\n    total_pages = div(total_entries, config.page_size)\n\n    total_pages =\n      if rem(total_entries, config.page_size) > 0 do\n        total_pages + 1\n      else\n        total_pages\n      end\n\n    %Scrivener.Page{\n      entries: issues,\n      page_number: config.page_number,\n      page_size: config.page_size,\n      total_entries: total_entries,\n      total_pages: total_pages\n    }\n  end\n\n  defp build_netex_validation_details(nil, _params, _pagination_config),\n    do: {nil, {nil, nil, nil, []}, {%{}, {0, []}}, nil, nil, []}\n\n  defp build_netex_validation_details(\n         %{\n           validator_version: version,\n           digest: digest,\n           binary_result: binary_result,\n           metadata: metadata = %DB.ResourceMetadata{}\n         },\n         params,\n         pagination_config\n       ) do\n    results_adapter = Transport.Validators.NeTEx.ResultsAdapter.resolve(version)\n    summary = digest[\"summary\"]\n    stats = digest[\"stats\"]\n    errors_template = pick_netex_errors_template(version)\n    max_severity = digest[\"max_severity\"]\n\n    issues = results_adapter.get_issues(binary_result, params, pagination_config)\n    xsd_errors = results_adapter.summarize_xsd_errors(binary_result)\n\n    {results_adapter, {summary, stats, metadata.metadata, metadata.modes}, issues, errors_template, max_severity,\n     xsd_errors}\n  end\n\n  defp pick_netex_errors_template(\"0.2.1\"), do: \"_netex_validation_errors_v0_2_x.html\"\n  defp pick_netex_errors_template(\"0.2.0\"), do: \"_netex_validation_errors_v0_2_x.html\"\n  defp pick_netex_errors_template(_), do: \"_netex_validation_errors_v0_1_0.html\"\n\n  defp assign_base_resource_details(conn, resource, validation_details) do\n    {validation_summary, severities_count, metadata, modes} = validation_details\n\n    conn\n    |> assign(:related_files, Resource.get_related_files(resource))\n    |> assign(:resource, resource)\n    |> assign(:other_resources, Resource.other_resources(resource))\n    |> assign(:validation_summary, validation_summary)\n    |> assign(:severities_count, severities_count)\n    |> assign(:metadata, metadata)\n    |> assign(:modes, modes)\n  end\n\n  def encoded_data_vis(_, nil), do: nil\n\n  def encoded_data_vis(issue_type, validation) do\n    issue_data_vis = validation.data_vis[issue_type]\n    has_features = DataVisualization.has_features(issue_data_vis[\"geojson\"])\n\n    case {has_features, Jason.encode(issue_data_vis)} do\n      {false, _} -> nil\n      {true, {:ok, encoded_data_vis}} -> encoded_data_vis\n      _ -> nil\n    end\n  end\n\n  @doc \"\"\"\n  `download` is in charge of downloading resources OR forwarding and logging requests.\n\n  - If the resource uses a PAN download-link, it logs the request (with a token if specified)\n    and redirects to the resource's URL afterward.\n  - If the resource can be \"directly downloaded\" over HTTPS, this method redirects.\n  - Otherwise, we proxy the response of the resource's url.\n\n  We introduced this method because some browsers block downloads of external HTTP resources when\n  they are referenced on an HTTPS page.\n  \"\"\"\n  def download(%Plug.Conn{assigns: %{original_method: \"HEAD\"}} = conn, %{\"id\" => id}) do\n    resource = get_with_dataset(id)\n\n    cond do\n      is_nil(resource) ->\n        not_found(conn)\n\n      DB.Dataset.has_custom_tag?(resource.dataset, \"authentification_experimentation\") ->\n        forward_head_response(conn, resource)\n\n      DB.Resource.pan_resource?(resource) ->\n        conn |> Plug.Conn.send_resp(:ok, \"\")\n\n      DB.Resource.can_direct_download?(resource) ->\n        conn |> Plug.Conn.send_resp(:not_found, \"\")\n\n      true ->\n        forward_head_response(conn, resource)\n    end\n  end\n\n  def download(%Plug.Conn{method: \"GET\"} = conn, %{\"id\" => id}) do\n    resource = get_with_dataset(id)\n\n    cond do\n      is_nil(resource) ->\n        not_found(conn)\n\n      DB.Dataset.has_custom_tag?(resource.dataset, \"authentification_experimentation\") ->\n        log_and_redirect(conn, resource)\n\n      DB.Resource.pan_resource?(resource) ->\n        log_and_redirect(conn, resource)\n\n      DB.Resource.can_direct_download?(resource) ->\n        redirect(conn, external: resource.url)\n\n      true ->\n        case Transport.Shared.Wrapper.HTTPoison.impl().get(resource.url, [], hackney: [follow_redirect: true]) do\n          {:ok, %HTTPoison.Response{status_code: 200} = response} ->\n            headers = Enum.into(response.headers, %{}, &downcase_header(&1))\n            %{\"content-type\" => content_type} = headers\n\n            send_download(conn, {:binary, response.body},\n              content_type: content_type,\n              disposition: :attachment,\n              filename: Transport.FileDownloads.guess_filename(headers, resource.url)\n            )\n\n          _ ->\n            conn\n            |> put_flash(:error, dgettext(\"resource\", \"Resource is not available on remote server\"))\n            |> not_found()\n        end\n    end\n  end\n\n  def download_validation_report(%Plug.Conn{method: \"GET\"} = conn, %{\"id\" => id, \"format\" => format}) do\n    resource = get_with_dataset(id)\n\n    cond do\n      is_nil(resource) ->\n        not_found(conn)\n\n      Resource.netex?(resource) ->\n        resource_history = DB.ResourceHistory.latest_resource_history(id)\n        validation = latest_validation(resource, resource_history)\n        download_validation_report(conn, resource, validation, format)\n\n      true ->\n        not_found(conn)\n    end\n  end\n\n  def download_validation_report(%Plug.Conn{method: \"GET\"} = conn, %{\"id\" => _} = params) do\n    download_validation_report(conn, params |> Map.merge(%{\"format\" => \"csv\"}))\n  end\n\n  def download_validation_report(%Plug.Conn{method: \"GET\"} = conn, _) do\n    not_found(conn)\n  end\n\n  def download_validation_report(\n        %Plug.Conn{method: \"GET\"} = conn,\n        resource,\n        %DB.MultiValidation{\n          id: mv_id,\n          binary_result: binary_result\n        },\n        \"csv\" = format\n      )\n      when is_binary(binary_result) do\n    case binary_result\n         |> Transport.Validators.NeTEx.ResultsAdapters.Commons.from_binary()\n         |> Explorer.DataFrame.dump_csv() do\n      {:ok, validation_report} ->\n        log_download(conn, resource.id, format)\n        download_binary(conn, validation_report, \"text/csv\", \"report-#{resource.id}-#{mv_id}.csv\")\n\n      _ ->\n        not_found(conn)\n    end\n  end\n\n  def download_validation_report(\n        %Plug.Conn{method: \"GET\"} = conn,\n        resource,\n        %DB.MultiValidation{\n          id: mv_id,\n          binary_result: binary_result\n        },\n        \"parquet\" = format\n      )\n      when is_binary(binary_result) do\n    log_download(conn, resource.id, format)\n    download_binary(conn, binary_result, \"application/vnd.apache.parquet\", \"report-#{resource.id}-#{mv_id}.parquet\")\n  end\n\n  def download_validation_report(%Plug.Conn{method: \"GET\"} = conn, _, _, _) do\n    not_found(conn)\n  end\n\n  defp log_download(conn, resource_id, format) do\n    DB.FeatureUsage.insert!(\n      :download_validation_report,\n      get_in(conn.assigns.current_contact.id),\n      %{resource_id: resource_id, format: format}\n    )\n  end\n\n  defp download_binary(conn, binary, content_type, filename) do\n    send_download(conn, {:binary, binary},\n      disposition: :attachment,\n      content_type: content_type,\n      filename: filename\n    )\n  end\n\n  defp get_with_dataset(resource_id) do\n    DB.Resource\n    |> DB.Repo.get(resource_id)\n    |> DB.Repo.preload(:dataset)\n  end\n\n  defp forward_head_response(%Plug.Conn{} = conn, %DB.Resource{} = resource) do\n    case Transport.Shared.Wrapper.HTTPoison.impl().head(resource.url, []) do\n      {:ok, %HTTPoison.Response{status_code: status_code, headers: headers}} ->\n        send_head_response(conn, status_code, headers)\n\n      _ ->\n        conn |> Plug.Conn.send_resp(:bad_gateway, \"\")\n    end\n  end\n\n  defp log_and_redirect(%Plug.Conn{} = conn, %DB.Resource{} = resource) do\n    case find_token(Map.get(conn.query_params, \"token\")) do\n      {:ok, token} ->\n        log_download_request(resource, token)\n        redirect(conn, external: resource.latest_url)\n\n      :error ->\n        conn |> Plug.Conn.send_resp(:unauthorized, \"You must set a valid Authorization header\")\n    end\n  end\n\n  defp log_download_request(%DB.Resource{id: resource_id}, token) do\n    token_id =\n      case token do\n        %DB.Token{id: token_id} -> token_id\n        nil -> nil\n      end\n\n    %DB.ResourceDownload{}\n    |> Ecto.Changeset.change(%{\n      time: DateTime.utc_now(),\n      resource_id: resource_id,\n      token_id: token_id\n    })\n    |> DB.Repo.insert!()\n  end\n\n  defp find_token(nil), do: {:ok, nil}\n\n  defp find_token(secret_hash) do\n    case DB.Repo.get_by(DB.Token, secret_hash: secret_hash) do\n      %DB.Token{} = token -> {:ok, token}\n      nil -> :error\n    end\n  end\n\n  defp send_head_response(%Plug.Conn{} = conn, status_code, headers) do\n    resp_headers =\n      headers\n      |> Enum.map(&downcase_header/1)\n      |> Enum.filter(fn {h, _v} -> Enum.member?(Shared.Proxy.forwarded_headers_allowlist(), h) end)\n\n    conn |> Plug.Conn.merge_resp_headers(resp_headers) |> Plug.Conn.send_resp(status_code, \"\")\n  end\n\n  defp downcase_header({h, v}), do: {String.downcase(h), v}\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/reuse_controller.ex",
    "content": "defmodule TransportWeb.ReuseController do\n  @moduledoc \"\"\"\n  Controller for data.gouv.fr reuses.\n  \"\"\"\n  use TransportWeb, :controller\n\n  def index(%Plug.Conn{} = conn, params) do\n    config = make_pagination_config(params)\n    reuses = DB.Reuse.search(params) |> DB.Repo.paginate(page: config.page_number)\n\n    conn\n    |> assign(:q, params[\"q\"])\n    |> assign(:reuses, reuses)\n    |> render(\"index.html\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/reuser_space_controller.ex",
    "content": "defmodule TransportWeb.ReuserSpaceController do\n  use TransportWeb, :controller\n  import Ecto.Query\n\n  plug(\n    :find_contact\n    when action in [:espace_reutilisateur, :settings, :new_token, :create_new_token, :delete_token, :default_token]\n  )\n\n  plug(:find_dataset_or_redirect when action in [:datasets_edit, :unfavorite, :add_improved_data, :hide_alert])\n\n  def espace_reutilisateur(%Plug.Conn{assigns: %{contact: %DB.Contact{} = contact}} = conn, _) do\n    followed_datasets_ids = contact |> Ecto.assoc(:followed_datasets) |> select([d], d.id) |> DB.Repo.all()\n\n    conn\n    |> assign(:contact, contact)\n    |> assign(:followed_datasets_ids, followed_datasets_ids)\n    |> assign(:hidden_alerts, conn.assigns.hidden_reuser_alerts)\n    |> assign(\n      :checks,\n      Enum.map(conn.assigns.followed_datasets, & &1.id) |> Enum.zip(conn.assigns.followed_datasets_checks) |> Map.new()\n    )\n    |> render(\"index.html\")\n  end\n\n  def settings(%Plug.Conn{assigns: %{contact: %DB.Contact{} = contact}} = conn, _) do\n    conn\n    |> assign(:tokens, tokens(contact))\n    |> render(\"settings.html\")\n  end\n\n  def delete_token(%Plug.Conn{assigns: %{contact: %DB.Contact{} = contact}} = conn, %{\"id\" => token_id}) do\n    contact\n    |> tokens()\n    |> Enum.find(&(to_string(&1.id) == token_id))\n    |> DB.Repo.delete!()\n\n    maybe_default_token(contact)\n\n    conn\n    |> put_flash(:info, dgettext(\"reuser-space\", \"Your token has been deleted\"))\n    |> redirect(to: reuser_space_path(conn, :settings))\n  end\n\n  def default_token(%Plug.Conn{assigns: %{contact: %DB.Contact{id: contact_id} = contact}} = conn, %{\"id\" => token_id}) do\n    DB.DefaultToken.base_query()\n    |> where([default_token: df], df.contact_id == ^contact_id)\n    |> DB.Repo.delete_all()\n\n    token = contact |> tokens() |> Enum.find(&(to_string(&1.id) == token_id))\n\n    %DB.DefaultToken{}\n    |> DB.DefaultToken.changeset(%{token_id: token.id, contact_id: contact_id})\n    |> DB.Repo.insert!()\n\n    conn\n    |> put_flash(:info, dgettext(\"reuser-space\", \"The token %{name} is now the default token\", name: token.name))\n    |> redirect(to: reuser_space_path(conn, :settings))\n  end\n\n  def new_token(%Plug.Conn{assigns: %{contact: %DB.Contact{} = contact}} = conn, _) do\n    conn\n    |> assign(:organizations, contact.organizations)\n    |> assign(:errors, [])\n    |> render(\"new_token.html\")\n  end\n\n  def create_new_token(%Plug.Conn{assigns: %{contact: %DB.Contact{} = contact}} = conn, params) do\n    [organization] = Enum.filter(contact.organizations, &(&1.id == params[\"organization_id\"]))\n\n    changeset =\n      DB.Token.changeset(%DB.Token{}, %{\n        \"contact_id\" => contact.id,\n        \"organization_id\" => organization.id,\n        \"name\" => params[\"name\"]\n      })\n\n    if changeset.valid? do\n      changeset |> DB.Repo.insert!()\n      maybe_default_token(contact)\n\n      conn\n      |> put_flash(:info, dgettext(\"reuser-space\", \"Your token has been created\"))\n      |> redirect(to: reuser_space_path(conn, :settings))\n    else\n      conn\n      |> assign(:organizations, contact.organizations)\n      |> assign(:errors, changeset.errors)\n      |> render(\"new_token.html\")\n    end\n  end\n\n  defp maybe_default_token(%DB.Contact{} = contact) do\n    default_token_id =\n      case contact.default_tokens do\n        [%DB.Token{id: t_id}] -> t_id\n        _ -> nil\n      end\n\n    case contact |> tokens() do\n      [%DB.Token{id: token_id}] when token_id != default_token_id and is_nil(default_token_id) ->\n        %DB.DefaultToken{}\n        |> DB.DefaultToken.changeset(%{token_id: token_id, contact_id: contact.id})\n        |> DB.Repo.insert!()\n\n      _ ->\n        :ok\n    end\n  end\n\n  def datasets_edit(\n        %Plug.Conn{assigns: %{dataset: %DB.Dataset{} = dataset, contact: %DB.Contact{} = contact}} = conn,\n        _\n      ) do\n    eligible_organizations = data_sharing_eligible_orgs(contact)\n\n    conn\n    |> assign(:contact, contact)\n    |> assign(:dataset, DB.Repo.preload(dataset, :resources))\n    |> assign(:eligible_to_data_sharing_pilot, data_sharing_pilot?(dataset, contact))\n    |> assign(:eligible_organizations, eligible_organizations)\n    |> assign(:existing_improved_data, existing_improved_data(dataset, eligible_organizations))\n    |> render(\"datasets_edit.html\")\n  end\n\n  defp existing_improved_data(%DB.Dataset{id: dataset_id}, [%DB.Organization{id: organization_id}]) do\n    DB.ReuserImprovedData\n    |> where([r], r.dataset_id == ^dataset_id and r.organization_id == ^organization_id)\n    |> DB.Repo.one()\n  end\n\n  defp existing_improved_data(%DB.Dataset{}, _orgs), do: nil\n\n  def add_improved_data(\n        %Plug.Conn{\n          assigns: %{dataset: %DB.Dataset{} = dataset, contact: %DB.Contact{} = contact},\n          params: %{\n            \"resource_id\" => resource_id,\n            \"organization_id\" => organization_id,\n            \"download_url\" => download_url\n          }\n        } = conn,\n        _\n      ) do\n    DB.ReuserImprovedData.changeset(%DB.ReuserImprovedData{}, %{\n      dataset_id: dataset.id,\n      resource_id: resource_id,\n      contact_id: contact.id,\n      organization_id: organization_id,\n      download_url: download_url\n    })\n    |> DB.Repo.insert!()\n\n    conn\n    |> put_flash(:info, dgettext(\"reuser-space\", \"Your improved data has been saved.\"))\n    |> redirect(to: reuser_space_path(conn, :datasets_edit, dataset.id))\n  end\n\n  def unfavorite(\n        %Plug.Conn{\n          assigns: %{\n            dataset: %DB.Dataset{} = dataset,\n            contact: %DB.Contact{} = contact,\n            current_user: %{\"id\" => user_id}\n          }\n        } =\n          conn,\n        _\n      ) do\n    DB.DatasetFollower.unfollow!(contact, dataset)\n    delete_notification_subscriptions(contact, dataset)\n    Transport.Cache.delete(TransportWeb.Plugs.ReuserData.followed_datasets_checks_cache_key(user_id))\n\n    conn\n    |> put_flash(\n      :info,\n      dgettext(\"reuser-space\", \"%{dataset_title} has been removed from your favorites\",\n        dataset_title: dataset.custom_title\n      )\n    )\n    |> redirect(to: reuser_space_path(conn, :espace_reutilisateur))\n  end\n\n  def hide_alert(\n        %Plug.Conn{assigns: %{dataset: %DB.Dataset{} = dataset, contact: %DB.Contact{} = contact}} = conn,\n        params\n      ) do\n    check_type = params |> Map.fetch!(\"check_type\") |> String.to_existing_atom()\n    resource_id = params[\"resource_id\"] |> parse_optional_integer()\n    discussion_id = params[\"discussion_id\"]\n\n    DB.HiddenReuserAlert.hide!(contact, dataset, check_type,\n      resource_id: resource_id,\n      discussion_id: discussion_id\n    )\n\n    conn\n    |> put_flash(:info, dgettext(\"reuser-space\", \"Alert hidden for 7 days\"))\n    |> redirect(to: reuser_space_path(conn, :espace_reutilisateur))\n  end\n\n  defp parse_optional_integer(nil), do: nil\n  defp parse_optional_integer(\"\"), do: nil\n  defp parse_optional_integer(value) when is_binary(value), do: String.to_integer(value)\n\n  defp delete_notification_subscriptions(%DB.Contact{id: contact_id}, %DB.Dataset{id: dataset_id}) do\n    DB.NotificationSubscription.base_query()\n    |> where([notification_subscription: ns], ns.contact_id == ^contact_id and ns.dataset_id == ^dataset_id)\n    |> DB.Repo.delete_all()\n  end\n\n  defp find_dataset_or_redirect(\n         %Plug.Conn{assigns: %{current_user: %{\"id\" => datagouv_user_id}}, path_params: %{\"dataset_id\" => dataset_id}} =\n           conn,\n         _options\n       ) do\n    # This query makes sure that the dataset is in the user's favorites\n    DB.Contact.base_query()\n    |> join(:inner, [contact: c], d in assoc(c, :followed_datasets), as: :dataset)\n    |> where([contact: c], c.datagouv_user_id == ^datagouv_user_id)\n    |> where([dataset: d], d.id == ^dataset_id)\n    |> select([contact: c, dataset: d], %{contact: c, dataset: d})\n    |> DB.Repo.all()\n    |> case do\n      [%{contact: %DB.Contact{} = contact, dataset: %DB.Dataset{} = dataset}] ->\n        conn\n        |> merge_assigns(%{\n          contact: DB.Repo.preload(contact, :organizations),\n          dataset: dataset\n        })\n\n      _ ->\n        conn\n        |> put_flash(:error, dgettext(\"alert\", \"Unable to get this dataset for the moment\"))\n        |> redirect(to: reuser_space_path(conn, :espace_reutilisateur))\n        |> halt()\n    end\n  end\n\n  defp find_contact(%Plug.Conn{assigns: %{current_user: %{\"id\" => datagouv_user_id}}} = conn, _options) do\n    contact =\n      DB.Contact\n      |> DB.Repo.get_by!(datagouv_user_id: datagouv_user_id)\n      |> DB.Repo.preload([:organizations, :default_tokens])\n\n    conn |> assign(:contact, contact)\n  end\n\n  @doc \"\"\"\n  Is the following dataset eligible for the data sharing pilot for this contact, member\n  of various organizations?\n  \"\"\"\n  @spec data_sharing_pilot?(DB.Dataset.t(), DB.Contact.t()) :: boolean()\n  def data_sharing_pilot?(%DB.Dataset{} = dataset, %DB.Contact{} = contact) do\n    eligible_dataset_type = dataset.type == \"public-transit\"\n    has_dataset_tag = DB.Dataset.has_custom_tag?(dataset, config_value(:dataset_custom_tag))\n    member_eligible_org = data_sharing_eligible_orgs(contact) |> Enum.count() == 1\n\n    Enum.all?([eligible_dataset_type, has_dataset_tag, member_eligible_org])\n  end\n\n  def data_sharing_eligible_orgs(%DB.Contact{organizations: organizations}) do\n    data_sharing_eligible_orgs(organizations)\n  end\n\n  def data_sharing_eligible_orgs(organizations) when is_list(organizations) do\n    Enum.filter(organizations, &(&1.id in config_value(:eligible_datagouv_organization_ids)))\n  end\n\n  defp config_value(key) do\n    Application.fetch_env!(:transport, :\"data_sharing_pilot_#{key}\")\n  end\n\n  defp tokens(%DB.Contact{id: contact_id} = contact) do\n    organization_ids = Enum.map(contact.organizations, & &1.id)\n\n    DB.Token.base_query()\n    |> where([token: t], t.organization_id in ^organization_ids or t.contact_id == ^contact_id)\n    |> order_by([token: t], t.inserted_at)\n    |> preload(:organization)\n    |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/session_controller.ex",
    "content": "defmodule TransportWeb.SessionController do\n  @moduledoc \"\"\"\n  Session management for transport.\n  \"\"\"\n  use TransportWeb, :controller\n  alias Datagouvfr.Authentication\n  require Logger\n\n  def new(conn, _) do\n    redirect(conn, external: Authentication.authorize_url())\n  end\n\n  def create(conn, %{\"code\" => code}) do\n    authentication_module = Datagouvfr.Authentication.Wrapper.impl()\n    user_module = Datagouvfr.Client.User.Wrapper.impl()\n\n    with %{token: token} <- authentication_module.get_token!(code: code),\n         conn <-\n           conn\n           |> put_session(:datagouv_token, token)\n           |> assign(:datagouv_token, token),\n         {:ok, user} <- user_module.me(conn) do\n      user_params = user_params(user)\n      find_or_create_contact(user_params)\n\n      conn\n      |> save_current_user(user_params)\n      |> redirect(to: get_redirect_path(conn))\n      |> halt()\n    else\n      {:error, error} ->\n        Logger.error(error)\n\n        conn\n        |> put_flash(:error, dgettext(\"alert\", \"An error occured, please try again\"))\n        |> redirect(to: session_path(conn, :new))\n        |> halt()\n    end\n  end\n\n  def create(conn, %{\"error\" => error, \"error_description\" => description}) do\n    Logger.error(\"error while creating the session: #{error} - #{description}\")\n\n    conn\n    |> put_flash(:error, dgettext(\"alert\", \"An error occured, please try again\"))\n    |> redirect(to: session_path(conn, :new))\n    |> halt()\n  end\n\n  def delete(%Plug.Conn{} = conn, _) do\n    conn\n    |> configure_session(drop: true)\n    |> redirect(to: get_redirect_path(conn))\n    |> halt()\n  end\n\n  def find_or_create_contact(\n        %{\n          \"id\" => user_id,\n          \"first_name\" => first_name,\n          \"last_name\" => last_name,\n          \"email\" => email,\n          \"organizations\" => organizations\n        } = user_params\n      ) do\n    DB.Contact\n    |> DB.Repo.get_by(datagouv_user_id: user_id)\n    |> case do\n      %DB.Contact{mailing_list_title: nil} = contact ->\n        contact\n        |> DB.Contact.changeset(%{\n          first_name: first_name,\n          last_name: last_name,\n          email: email\n        })\n        |> DB.Repo.update!()\n\n      %DB.Contact{mailing_list_title: mailing_list_title} = contact when mailing_list_title != nil ->\n        contact\n        |> DB.Contact.changeset(%{email: email})\n        |> DB.Repo.update!()\n\n      # First login on the platform.\n      # - we created the contact on the backoffice: fill `datagouv_user_id`\n      # - create the contact for the first time using OAuth details\n      nil ->\n        contact = find_contact_by_email_or_create(user_params)\n        maybe_promote_producer_space(contact)\n        create_token_for_contact(contact)\n        contact\n    end\n    |> DB.Contact.changeset(%{last_login_at: DateTime.utc_now(), organizations: organizations})\n    |> DB.Repo.update!()\n  end\n\n  defp create_token_for_contact(%DB.Contact{id: contact_id}) do\n    %{contact_id: contact_id, action: \"create_token_for_contact\"}\n    |> Transport.Jobs.CreateTokensJob.new(schedule_in: 5)\n    |> Oban.insert!()\n  end\n\n  defp maybe_promote_producer_space(%DB.Contact{id: contact_id}) do\n    # Schedule the job in a few seconds to make sure the record has been\n    # inserted and we properly updated organizations.\n    # The job is scheduled for all contacts when they login for the first time\n    # and does stuff only if the contact is a producer.\n    %{contact_id: contact_id} |> Transport.Jobs.PromoteProducerSpaceJob.new(schedule_in: 5) |> Oban.insert!()\n  end\n\n  defp find_contact_by_email_or_create(%{\n         \"id\" => user_id,\n         \"first_name\" => first_name,\n         \"last_name\" => last_name,\n         \"email\" => email\n       }) do\n    case DB.Repo.get_by(DB.Contact, email_hash: String.downcase(email)) do\n      %DB.Contact{mailing_list_title: nil} = contact ->\n        contact\n        |> DB.Contact.changeset(%{\n          datagouv_user_id: user_id,\n          first_name: first_name,\n          last_name: last_name\n        })\n        |> DB.Repo.update!()\n\n      %DB.Contact{mailing_list_title: mailing_list_title} = contact when mailing_list_title != nil ->\n        contact\n        |> DB.Contact.changeset(%{datagouv_user_id: user_id})\n        |> DB.Repo.update!()\n\n      nil ->\n        %{\n          datagouv_user_id: user_id,\n          first_name: first_name,\n          last_name: last_name,\n          email: email,\n          creation_source: :datagouv_oauth_login\n        }\n        |> DB.Contact.insert!()\n    end\n  end\n\n  defp user_params(%{} = user) do\n    Map.take(\n      user,\n      [\"id\", \"apikey\", \"email\", \"first_name\", \"last_name\", \"avatar_thumbnail\", \"organizations\"]\n    )\n  end\n\n  def save_current_user(%Plug.Conn{} = conn, %{} = user_params) do\n    conn\n    |> put_session(:current_user, user_params_for_session(user_params))\n    |> TransportWeb.Session.set_is_producer(user_params)\n    |> TransportWeb.Session.set_is_admin(user_params)\n  end\n\n  defp user_params_for_session(%{} = params) do\n    # Remove the list of `organizations` from the final map: it's already stored in the database\n    # and maintained up-to-date by `Transport.Jobs.UpdateContactsJob`\n    # and it can be too big to be stored in a cookie\n    Map.delete(params, \"organizations\")\n  end\n\n  defp get_redirect_path(%Plug.Conn{} = conn) do\n    case get_session(conn, :redirect_path) do\n      nil -> \"/\"\n      path -> path\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/stats_controller.ex",
    "content": "defmodule TransportWeb.StatsController do\n  use TransportWeb, :controller\n\n  @spec index(Plug.Conn.t(), any) :: Plug.Conn.t()\n  def index(conn, _params) do\n    stats =\n      Transport.Cache.fetch(\n        \"stats-page-index\",\n        fn -> Transport.StatsHandler.compute_stats() end,\n        Transport.PreemptiveStatsCache.cache_ttl()\n      )\n\n    conn =\n      stats\n      |> Enum.reduce(conn, fn {k, v}, conn -> conn |> assign(k, v) end)\n\n    conn\n    |> assign(:droms, [\"antilles\", \"guyane\", \"nouvelle_caledonie\", \"reunion\"])\n    |> render(\"index.html\")\n  end\n\n  @spec stats_public_transit(Plug.Conn.t(), any) :: Plug.Conn.t()\n  def stats_public_transit(conn, _params) do\n    dashboard_id = 18\n\n    conn\n    |> assign(:metabase_token, metabase_token(dashboard_id))\n    |> render(\"metabase_dashboard.html\")\n  end\n\n  defp metabase_token(dashboard_id) do\n    secret = Application.fetch_env!(:transport, :metabase_secret_key)\n    now = System.os_time(:second)\n\n    header = Base.url_encode64(Jason.encode!(%{\"alg\" => \"HS256\", \"typ\" => \"JWT\"}), padding: false)\n\n    payload =\n      Base.url_encode64(\n        Jason.encode!(%{\n          \"resource\" => %{\"dashboard\" => dashboard_id},\n          \"params\" => %{},\n          \"exp\" => now + 600\n        }),\n        padding: false\n      )\n\n    message = \"#{header}.#{payload}\"\n    signature = :crypto.mac(:hmac, :sha256, secret, message) |> Base.url_encode64(padding: false)\n\n    \"#{message}.#{signature}\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/controllers/validation_controller.ex",
    "content": "defmodule TransportWeb.ValidationController do\n  use TransportWeb, :controller\n  alias DB.{MultiValidation, Repo}\n  alias Transport.DataVisualization\n  import Ecto.Query\n\n  @netex_issues_page_size 10\n\n  # Sized to comfortably accept the largest known IRVE statique files\n  # (Qualicharge, Gireve — at time of writing) with margin.\n  @max_irve_file_size_bytes 50 * 1024 * 1024\n\n  plug(:log_usage when action in [:validate])\n\n  def validate(%Plug.Conn{} = conn, %{\"upload\" => %{\"url\" => url, \"type\" => \"gbfs\"} = params}) do\n    %MultiValidation{\n      oban_args: build_oban_args(params),\n      validation_timestamp: DateTime.utc_now(),\n      validator: Transport.Validators.GBFSValidator.validator_name(),\n      validated_data_name: url\n    }\n    |> Repo.insert!()\n\n    # for the moment, on demand GBFS validations results are not stored in DB\n    redirect(conn, to: gbfs_analyzer_path(conn, :index, url: url))\n  end\n\n  def validate(%Plug.Conn{} = conn, %{\"upload\" => %{\"url\" => _, \"feed_url\" => _, \"type\" => \"gtfs-rt\"} = params}) do\n    validation =\n      %MultiValidation{\n        validator: temporary_on_demand_validator_name(),\n        oban_args: build_oban_args(params),\n        validation_timestamp: DateTime.utc_now()\n      }\n      |> Repo.insert!()\n\n    case dispatch_validation_job(validation) do\n      :ok ->\n        redirect_to_validation_show(conn, validation)\n\n      :error ->\n        conn\n        |> put_flash(\n          :error,\n          dgettext(\n            \"validations\",\n            \"Each GTFS-RT feed can only be validated once per 5 minutes. Please wait a moment and try again.\"\n          )\n        )\n        |> redirect(\n          to:\n            live_path(\n              conn,\n              TransportWeb.Live.OnDemandValidationSelectLive,\n              params\n              |> Enum.sort_by(fn {k, _} -> k end)\n              |> Enum.map(fn {k, v} -> {String.to_existing_atom(k), v} end)\n            )\n        )\n    end\n  end\n\n  # IRVE statique validation doesn’t use an Oban job and doesn’t store anything\n  # It’s just a display and forget validation, and it’s quick enough so that it can be done synchronously\n  # This clause intercepts the validation instead of sending to Validata like other TableSchema validations\n  def validate(%Plug.Conn{} = conn, %{\n        \"upload\" => %{\"file\" => %{path: file_path, filename: filename}, \"type\" => \"etalab/schema-irve-statique\"}\n      }) do\n    validate_irve_statique(conn, file_path, filename, File.stat!(file_path).size)\n  end\n\n  def validate(%Plug.Conn{} = conn, %{\n        \"upload\" => %{\"file\" => %{path: file_path, filename: filename}, \"type\" => type}\n      }) do\n    if valid_type?(type) do\n      oban_args = build_oban_args(type)\n      stream_to_s3(file_path, Map.fetch!(oban_args, \"filename\"))\n\n      validation =\n        %MultiValidation{\n          validator: temporary_on_demand_validator_name(),\n          validation_timestamp: DateTime.utc_now(),\n          oban_args: oban_args,\n          validated_data_name: filename\n        }\n        |> Repo.insert!()\n\n      dispatch_validation_job(validation)\n      redirect_to_validation_show(conn, validation)\n    else\n      conn |> bad_request()\n    end\n  end\n\n  def validate(conn, _) do\n    conn |> bad_request()\n  end\n\n  defp validate_irve_statique(conn, _file_path, _filename, size) when size > @max_irve_file_size_bytes do\n    conn\n    |> put_flash(\n      :error,\n      dgettext(\"validations\", \"File is too large, must be <%{max_file_size}.\",\n        max_file_size: Sizeable.filesize(@max_irve_file_size_bytes)\n      )\n    )\n    |> redirect(\n      to: live_path(conn, TransportWeb.Live.OnDemandValidationSelectLive, type: \"etalab/schema-irve-statique\")\n    )\n  end\n\n  defp validate_irve_statique(conn, file_path, filename, _size) do\n    summary = Transport.IRVE.Validator.validate_and_summarize(file_path, irve_extension(filename))\n\n    conn\n    |> assign(:summary, summary)\n    |> assign(:filename, filename || \"upload.csv\")\n    |> render(\"show_irve_statique.html\")\n  end\n\n  defp irve_extension(filename) when is_binary(filename) and filename != \"\" do\n    case Path.extname(filename) do\n      \"\" -> \".csv\"\n      ext -> ext\n    end\n  end\n\n  defp irve_extension(_), do: \".csv\"\n\n  defp redirect_to_validation_show(conn, %MultiValidation{\n         oban_args: %{\"secret_url_token\" => token},\n         id: id\n       }) do\n    redirect(conn, to: validation_path(conn, :show, id, token: token))\n  end\n\n  def show(%Plug.Conn{} = conn, %{} = params) do\n    token = params[\"token\"]\n\n    validation =\n      MultiValidation.base_query(include_result: true, include_binary_result: true)\n      |> preload(:metadata)\n      |> Repo.get(params[\"id\"])\n\n    case validation do\n      nil ->\n        not_found(conn)\n\n      %MultiValidation{oban_args: %{\"secret_url_token\" => expected_token}}\n      when expected_token != token ->\n        unauthorized(conn)\n\n      %MultiValidation{oban_args: %{\"state\" => \"completed\"}, binary_result: nil, result: nil} = validation ->\n        conn |> assign(:validation, validation) |> render(\"expired.html\")\n\n      %MultiValidation{oban_args: %{\"state\" => \"completed\", \"type\" => \"gtfs\"}} = validation ->\n        validator = Transport.Validators.GTFSTransport\n        current_issues = validator.get_issues(validation.result, params)\n\n        issue_type =\n          case params[\"issue_type\"] do\n            nil -> validator.issue_type(current_issues)\n            issue_type -> issue_type\n          end\n\n        conn\n        |> assign_base_validation_details(params)\n        |> assign(:issues, Scrivener.paginate(current_issues, make_pagination_config(params)))\n        |> assign(:validator, validator)\n        |> assign(:metadata, validation.metadata.metadata)\n        |> assign(:modes, validation.metadata.modes)\n        |> assign(:data_vis, data_vis(validation, issue_type))\n        |> assign(:validation_summary, validator.summary(validation.result))\n        |> assign(:severities_count, validator.count_by_severity(validation.result))\n        |> render(\"show_gtfs.html\")\n\n      %MultiValidation{oban_args: %{\"state\" => \"completed\", \"type\" => \"netex\"}} = validation ->\n        config = make_pagination_config(params)\n\n        results_adapter = Transport.Validators.NeTEx.ResultsAdapter.resolve(validation.validator_version)\n\n        template = pick_netex_template(validation.validator_version)\n\n        pagination_config = make_pagination_config(params, @netex_issues_page_size)\n        {filter, pagination} = results_adapter.get_issues(validation.binary_result, params, pagination_config)\n\n        validation_report_url = validation_url(conn, :download_validation_report, validation.id, token: params[\"token\"])\n\n        xsd_errors = results_adapter.summarize_xsd_errors(validation.binary_result)\n\n        conn\n        |> assign_base_validation_details(params)\n        |> assign(:filter, filter)\n        |> assign(:issues, TransportWeb.ResourceController.paginate_netex_results(pagination, config))\n        |> assign(:results_adapter, results_adapter)\n        |> assign(:metadata, validation.metadata.metadata)\n        |> assign(:max_severity, validation.digest[\"max_severity\"])\n        |> assign(:validation_summary, validation.digest[\"summary\"])\n        |> assign(:severities_count, validation.digest[\"stats\"])\n        |> assign(:validation_report_url, validation_report_url)\n        |> assign(:xsd_errors, xsd_errors)\n        |> render(template)\n\n      # Handles waiting for validation to complete, errors and\n      # validation for schemas\n      _ ->\n        live_render(conn, TransportWeb.Live.OnDemandValidationLive,\n          session: %{\n            \"validation_id\" => params[\"id\"],\n            \"issue_type\" => params[\"issue_type\"],\n            \"current_url\" => validation_path(conn, :show, params[\"id\"], token: token)\n          }\n        )\n    end\n  end\n\n  def download_validation_report(%Plug.Conn{method: \"GET\"} = conn, %{} = params) do\n    token = params[\"token\"]\n\n    validation =\n      MultiValidation.base_query(include_binary_result: true)\n      |> Repo.get(params[\"id\"])\n\n    case validation do\n      nil ->\n        not_found(conn)\n\n      %MultiValidation{oban_args: %{\"secret_url_token\" => expected_token}}\n      when expected_token != token ->\n        unauthorized(conn)\n\n      %MultiValidation{oban_args: %{\"state\" => \"completed\", \"type\" => \"netex\"}} = validation ->\n        download_validation_report(conn, validation, params[\"format\"] || \"csv\")\n\n      true ->\n        not_found(conn)\n    end\n  end\n\n  def download_validation_report(%Plug.Conn{method: \"GET\"} = conn, _) do\n    not_found(conn)\n  end\n\n  def download_validation_report(\n        %Plug.Conn{method: \"GET\"} = conn,\n        %DB.MultiValidation{\n          id: mv_id,\n          binary_result: binary_result\n        },\n        \"csv\" = format\n      )\n      when is_binary(binary_result) do\n    case binary_result\n         |> Transport.Validators.NeTEx.ResultsAdapters.Commons.from_binary()\n         |> Explorer.DataFrame.dump_csv() do\n      {:ok, validation_report} ->\n        log_download(conn, mv_id, format)\n        download_binary(conn, validation_report, \"text/csv\", \"report-#{mv_id}.csv\")\n\n      _ ->\n        not_found(conn)\n    end\n  end\n\n  def download_validation_report(\n        %Plug.Conn{method: \"GET\"} = conn,\n        %DB.MultiValidation{\n          id: mv_id,\n          binary_result: binary_result\n        },\n        \"parquet\" = format\n      )\n      when is_binary(binary_result) do\n    log_download(conn, mv_id, format)\n    download_binary(conn, binary_result, \"application/vnd.apache.parquet\", \"report-#{mv_id}.parquet\")\n  end\n\n  def download_validation_report(%Plug.Conn{method: \"GET\"} = conn, _, _) do\n    not_found(conn)\n  end\n\n  defp log_download(conn, validation_id, format) do\n    DB.FeatureUsage.insert!(\n      :download_validation_report,\n      get_in(conn.assigns.current_contact.id),\n      %{validation_id: validation_id, format: format}\n    )\n  end\n\n  defp download_binary(conn, binary, content_type, filename) do\n    send_download(conn, {:binary, binary},\n      disposition: :attachment,\n      content_type: content_type,\n      filename: filename\n    )\n  end\n\n  defp pick_netex_template(\"0.2.1\"), do: \"show_netex_v0_2_x.html\"\n  defp pick_netex_template(\"0.2.0\"), do: \"show_netex_v0_2_x.html\"\n  defp pick_netex_template(_), do: \"show_netex_v0_1_0.html\"\n\n  defp assign_base_validation_details(conn, params) do\n    conn\n    |> assign(:validation_id, params[\"id\"])\n    |> assign(:other_resources, [])\n    |> assign(:token, params[\"token\"])\n  end\n\n  defp data_vis(%MultiValidation{} = validation, issue_type) do\n    data_vis = validation.data_vis[issue_type]\n    has_features = DataVisualization.has_features(data_vis[\"geojson\"])\n\n    case {has_features, Jason.encode(data_vis)} do\n      {false, _} -> nil\n      {true, {:ok, encoded_data_vis}} -> encoded_data_vis\n      _ -> nil\n    end\n  end\n\n  defp filepath(type) do\n    if type == \"tableschema\" do\n      Ecto.UUID.generate() <> \".csv\"\n    else\n      Ecto.UUID.generate()\n    end\n  end\n\n  defp dispatch_validation_job(%MultiValidation{id: id, oban_args: %{\"type\" => \"gtfs-rt\"} = oban_args} = validation) do\n    oban_args = Map.merge(%{\"id\" => id}, oban_args)\n\n    oban_return =\n      oban_args\n      |> Transport.Jobs.OnDemandValidationJob.new(unique: [period: 300, keys: [:type, :gtfs_rt_url, :gtfs_url]])\n      |> Oban.insert()\n\n    case oban_return do\n      {:ok, %Oban.Job{conflict?: true}} ->\n        validation\n        |> Ecto.Changeset.change(\n          oban_args:\n            Map.merge(oban_args, %{\"state\" => \"error\", \"error_reason\" => \"Can run this job only once every 5 minutes\"})\n        )\n        |> Repo.update!()\n\n        :error\n\n      _ ->\n        :ok\n    end\n  end\n\n  defp dispatch_validation_job(%MultiValidation{id: id, oban_args: oban_args}) do\n    oban_args |> Map.merge(%{\"id\" => id}) |> Transport.Jobs.OnDemandValidationJob.new() |> Oban.insert!()\n  end\n\n  def select_options do\n    schemas =\n      transport_schemas()\n      |> Enum.map(fn {k, v} -> {Map.fetch!(v, \"title\"), k} end)\n      |> Enum.sort_by(&elem(&1, 0))\n\n    [\"GTFS\", \"GTFS-Flex\", \"NeTEx\", \"GTFS-RT\", \"GBFS\"] |> Enum.map(&{&1, String.downcase(&1)}) |> Kernel.++(schemas)\n  end\n\n  def valid_type?(type), do: type in (select_options() |> Enum.map(&elem(&1, 1)))\n\n  defp stream_to_s3(local_filepath, path) do\n    Transport.S3.stream_to_s3!(:on_demand_validation, local_filepath, path, acl: :public_read)\n  end\n\n  defp build_oban_args(%{\"url\" => url, \"feed_url\" => feed_url, \"type\" => \"gtfs-rt\"}) do\n    %{\n      \"type\" => \"gtfs-rt\",\n      \"state\" => \"waiting\",\n      \"gtfs_rt_url\" => feed_url,\n      \"gtfs_url\" => url,\n      \"secret_url_token\" => Ecto.UUID.generate()\n    }\n  end\n\n  defp build_oban_args(%{\"url\" => url, \"type\" => \"gbfs\"}) do\n    %{\"type\" => \"gbfs\", \"state\" => \"submitted\", \"feed_url\" => url}\n  end\n\n  # For IRVE statique, we don’t use Oban to perform validation\n  # This function is just here to log the usage\n  # This allows the feature usage metadata to be different from other TableSchema validations\n  # See TransportWeb.ValidationController.log_usage/2\n  defp build_oban_args(%{\"type\" => \"etalab/schema-irve-statique\"}) do\n    %{\"type\" => \"irve-statique\"}\n  end\n\n  defp build_oban_args(%{\"type\" => type}), do: build_oban_args(type)\n\n  defp build_oban_args(type) do\n    args =\n      case type do\n        type when type in [\"gtfs\", \"gtfs-flex\", \"netex\"] -> %{\"type\" => type}\n        schema_name -> %{\"schema_name\" => schema_name, \"type\" => schema_type(schema_name)}\n      end\n\n    path = filepath(args[\"type\"])\n\n    Map.merge(\n      args,\n      %{\n        \"state\" => \"waiting\",\n        \"filename\" => path,\n        \"permanent_url\" => Transport.S3.permanent_url(:on_demand_validation, path),\n        \"secret_url_token\" => Ecto.UUID.generate()\n      }\n    )\n  end\n\n  defp schema_type(schema_name), do: transport_schemas()[schema_name][\"schema_type\"]\n\n  defp transport_schemas, do: Transport.Schemas.Wrapper.transport_schemas()\n\n  defp not_found(%Plug.Conn{} = conn) do\n    conn\n    |> put_status(:not_found)\n    |> put_view(TransportWeb.ErrorView)\n    |> assign(\n      :status_message,\n      dgettext(\n        \"validation\",\n        \"Validation not found. On-demand validation results have been reinitialized on 2022-05-30. Please validate your file again.\"\n      )\n    )\n    |> render(:\"404\")\n  end\n\n  defp unauthorized(%Plug.Conn{} = conn) do\n    conn\n    |> put_status(:unauthorized)\n    |> put_view(TransportWeb.ErrorView)\n    |> render(:\"401\")\n  end\n\n  defp bad_request(%Plug.Conn{} = conn) do\n    conn\n    |> put_status(:bad_request)\n    |> put_view(ErrorView)\n    |> render(\"400.html\")\n  end\n\n  def temporary_on_demand_validator_name, do: \"on demand validation requested\"\n\n  defp log_usage(%Plug.Conn{} = conn, _options) do\n    DB.FeatureUsage.insert!(\n      :on_demand_validation,\n      get_in(conn.assigns.current_contact.id),\n      build_oban_args(conn.params[\"upload\"])\n      |> Map.take([\"type\", \"schema_name\"])\n    )\n\n    conn\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/endpoint.ex",
    "content": "defmodule TransportWeb.Endpoint do\n  use Sentry.PlugCapture\n  use Phoenix.Endpoint, otp_app: :transport\n\n  @session_options [\n    store: :cookie,\n    key: \"_transport_key\",\n    signing_salt: \"wqoqbzqj\",\n    same_site: \"Lax\",\n    # 15 days\n    max_age: 24 * 60 * 60 * 15\n  ]\n\n  socket(\"/socket\", TransportWeb.UserSocket)\n  socket(\"/live\", Phoenix.LiveView.Socket, websocket: [connect_info: [session: @session_options]])\n\n  # Serve at \"/\" the static files from \"priv/static\" directory.\n  #\n  # You should set gzip to true if you are running phoenix.digest\n  # when deploying your static files in production.\n  plug(Plug.Static,\n    at: \"/\",\n    from: :transport,\n    gzip: Mix.env() == :prod,\n    only: TransportWeb.static_paths()\n  )\n\n  # Code reloading can be explicitly enabled under the\n  # :code_reloader configuration of your endpoint.\n  if code_reloading? do\n    socket(\"/\", Phoenix.LiveReloader.Socket)\n    plug(Phoenix.LiveReloader)\n    plug(Phoenix.CodeReloader)\n  end\n\n  plug(Phoenix.LiveDashboard.RequestLogger,\n    param_key: \"request_logger\",\n    cookie_key: \"request_logger\"\n  )\n\n  plug(Plug.RequestId)\n  plug(Plug.Telemetry, event_prefix: [:phoenix, :endpoint])\n  plug(RemoteIp, headers: [\"x-forwarded-for\"])\n\n  plug(Plug.Parsers,\n    parsers: [\n      :urlencoded,\n      :json,\n      {:multipart, length: 200_000_000}\n    ],\n    pass: [\"*/*\"],\n    json_decoder: Jason\n  )\n\n  plug(Sentry.PlugContext)\n\n  plug(Plug.MethodOverride)\n  plug(TransportWeb.Plugs.Head)\n\n  # The session will be stored in the cookie and signed,\n  # this means its contents can be read but not tampered with.\n  # Set :encryption_salt if you would also like to encrypt it.\n  plug(Plug.Session, @session_options)\n\n  plug(TransportWeb.Plugs.Router)\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/gettext.ex",
    "content": "defmodule TransportWeb.Gettext do\n  @moduledoc \"\"\"\n  A module providing Internationalization with a gettext-based API.\n\n  By using [Gettext](https://hexdocs.pm/gettext),\n  your module gains a set of macros for translations, for example:\n\n      use Gettext, backend: TransportWeb.Gettext\n\n      # Simple translation\n      gettext \"Here is the string to translate\"\n\n      # Plural translation\n      ngettext \"Here is the string to translate\",\n               \"Here are the strings to translate\",\n               3\n\n      # Domain-based translation\n      dgettext \"errors\", \"Here is the error message to translate\"\n\n  See the [Gettext Docs](https://hexdocs.pm/gettext) for detailed usage.\n  \"\"\"\n  use Gettext.Backend, otp_app: :transport\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/cache_live.ex",
    "content": "defmodule TransportWeb.Backoffice.CacheLive do\n  @moduledoc \"\"\"\n  A view to help debug the Cachex memory cache.\n  \"\"\"\n  use Phoenix.LiveView\n  use Phoenix.HTML\n  import Transport.Application, only: [cache_name: 0]\n  import TransportWeb.Backoffice.JobsLive, only: [ensure_admin_auth_or_redirect: 3]\n  import TransportWeb.Router.Helpers\n\n  @impl true\n  def mount(params, %{\"current_user\" => current_user} = _session, socket) do\n    {:ok,\n     ensure_admin_auth_or_redirect(socket, current_user, fn socket ->\n       if connected?(socket), do: schedule_next_update_data()\n\n       socket = socket |> assign(search_key_name: :search_key_name, filter_key_name: Map.get(params, \"filter_key_name\"))\n\n       update_data(socket)\n     end)}\n  end\n\n  defp schedule_next_update_data do\n    Process.send_after(self(), :update_data, 1000)\n  end\n\n  defp update_data(socket) do\n    assign(socket,\n      last_updated_at: (Time.utc_now() |> Time.truncate(:second) |> to_string()) <> \" UTC\",\n      stats: compute_stats(socket)\n    )\n  end\n\n  @impl true\n  def handle_info(:update_data, socket) do\n    schedule_next_update_data()\n    {:noreply, update_data(socket)}\n  end\n\n  @impl true\n  def handle_params(%{\"filter_key_name\" => filter_key_name}, _uri, socket) do\n    socket = socket |> assign(%{filter_key_name: filter_key_name})\n\n    {:noreply, update_data(socket)}\n  end\n\n  def handle_params(_params, _uri, socket) do\n    {:noreply, update_data(socket)}\n  end\n\n  @impl true\n  def handle_event(\"delete_key\", %{\"key_name\" => key_name}, socket) do\n    Cachex.del(cache_name(), key_name)\n    {:noreply, socket}\n  end\n\n  @impl true\n  def handle_event(\"filter\", %{\"search_key_name\" => %{\"filter_key_name\" => filter_key_name}}, socket) do\n    socket =\n      socket\n      |> push_patch(to: backoffice_live_path(socket, __MODULE__, filter_key_name: filter_key_name))\n\n    {:noreply, socket}\n  end\n\n  defp compute_stats(socket) do\n    # See https://hexdocs.pm/cachex/Cachex.html#inspect/3\n    %{\n      nb_expired_keys: cache_name() |> Cachex.inspect({:expired, :count}) |> elem(1),\n      expired_keys: cache_name() |> Cachex.inspect({:expired, :keys}) |> elem(1) |> Enum.sort(),\n      nb_records: cache_name() |> Cachex.size() |> elem(1),\n      cache_size_binary: cache_name() |> Cachex.inspect({:memory, :binary}) |> elem(1),\n      last_janitor_execution: last_janitor_execution(),\n      keys: cache_keys(Map.get(socket.assigns, :filter_key_name))\n    }\n  end\n\n  def format_ttl(nil) do\n    \"Pas de TTL\"\n  end\n\n  def format_ttl(value) when is_integer(value) do\n    Shared.DateTimeDisplay.relative_datetime_in_seconds(round(value / 1_000), \"fr\")\n  end\n\n  defp cache_keys(filter_key_name) do\n    cache_name()\n    |> Cachex.keys()\n    |> elem(1)\n    |> Enum.filter(fn key ->\n      case filter_key_name do\n        nil -> true\n        value -> String.contains?(key, value)\n      end\n    end)\n    |> Enum.sort()\n    |> Enum.map(fn key ->\n      %{name: key, ttl: cache_name() |> Cachex.ttl(key) |> elem(1)}\n    end)\n  end\n\n  defp last_janitor_execution do\n    cache_name()\n    |> Cachex.inspect({:janitor, :last})\n    |> elem(1)\n    |> case do\n      %{started: started} -> DateTime.from_unix!(started, :millisecond)\n      _ -> \"pas encore exécuté\"\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/cache_live.html.heex",
    "content": "<% nb_non_expired_keys = @stats.nb_records - @stats.nb_expired_keys %>\n<section class=\"container pt-48 pb-48\">\n  <h1>Debug du cache de l'application transport</h1>\n\n  <h3>Statistiques</h3>\n\n  <ul>\n    <li>Taille du cache : {@stats.cache_size_binary}</li>\n    <li>Nombre de clés : {Helpers.format_number(@stats.nb_records)}</li>\n    <li>Nombre de clés expirées : {@stats.nb_expired_keys}</li>\n    <li>\n      Dernière exécution <a href=\"https://hexdocs.pm/cachex/ttl-implementation.html\">du Janitor</a>\n      : {@stats.last_janitor_execution}\n    </li>\n    <li :if={Enum.count(@stats.expired_keys) > 0}>Clés expirées : {Enum.join(@stats.expired_keys, \", \")}</li>\n  </ul>\n\n  <h3>Clés actives</h3>\n\n  <div class=\"pb-24\">\n    <.form :let={f} for={%{}} as={@search_key_name} phx-change=\"filter\" class=\"no-margin\">\n      {label(f, \"Filtrer par nom de clé\")}\n      {text_input(f, :filter_key_name, value: @filter_key_name)}\n    </.form>\n  </div>\n\n  <table :if={Enum.count(@stats.keys) > 0} class=\"table\">\n    <thead>\n      <tr>\n        <th>Clé</th>\n        <th>TTL</th>\n        <th>Actions</th>\n      </tr>\n    </thead>\n    <tbody>\n      <%= for item <- @stats.keys do %>\n        <tr>\n          <td>{item.name}</td>\n          <td>{format_ttl(item.ttl)}</td>\n          <td>\n            <a href=\"#\" phx-click=\"delete_key\" phx-value-key_name={item.name}>\n              Supprimer\n            </a>\n          </td>\n        </tr>\n      <% end %>\n    </tbody>\n  </table>\n\n  <p :if={nb_non_expired_keys - Enum.count(@stats.keys) == 1}>\n    1 clé est masquée par le filtre courant.\n  </p>\n\n  <p :if={nb_non_expired_keys - Enum.count(@stats.keys) >= 2}>\n    {Helpers.format_number(nb_non_expired_keys - Enum.count(@stats.keys))} clés sont masquées par le filtre courant.\n  </p>\n\n  <p class=\"small\">Dernière mise à jour: {@last_updated_at}</p>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/custom_tags_live.ex",
    "content": "defmodule TransportWeb.CustomTagsLive do\n  use Phoenix.LiveComponent\n  alias TransportWeb.InputHelpers\n  import Ecto.Query\n\n  def render(assigns) do\n    ~H\"\"\"\n    <div class=\"pt-24\">\n      {InputHelpers.text_input(@form, :tag_input,\n        placeholder: \"Ajouter un tag\",\n        list: \"suggestions\",\n        phx_keydown: \"add_tag\",\n        phx_change: \"change\",\n        id: \"custom_tag\",\n        phx_target: @myself,\n        label: \"Tags\"\n      )}\n      <div class=\"pt-6\">\n        <%= for {tag, index} <- Enum.with_index(@custom_tags) do %>\n          <span class=\"label custom-tag\">\n            {tag} <span class=\"delete-tag\" phx-click=\"remove_tag\" phx-value-tag={tag} phx-target={@myself}></span>\n          </span>\n          {Phoenix.HTML.Form.hidden_input(@form, \"custom_tags[#{index}]\", value: tag)}\n        <% end %>\n      </div>\n      <datalist id=\"suggestions\">\n        <%= for suggestion <- @tag_suggestions do %>\n          <option value={suggestion}>{suggestion}</option>\n        <% end %>\n      </datalist>\n      <details class=\"pt-12\">\n        <summary>Tags liés à des fonctionnalités</summary>\n        <ul>\n          <%= for tag_doc <- Enum.sort_by(@tags_documentation, & &1.name) do %>\n            <li><span class=\"label\"><%= tag_doc.name %></span>{tag_doc.doc}</li>\n          <% end %>\n        </ul>\n      </details>\n    </div>\n    \"\"\"\n  end\n\n  def tags_suggestions do\n    tags_in_database =\n      DB.Dataset.base_with_hidden_datasets()\n      |> select([dataset: d], fragment(\"distinct unnest(custom_tags)\"))\n      |> DB.Repo.all()\n\n    documented_tags = Enum.map(tags_documentation(), & &1.name)\n\n    (tags_in_database ++ documented_tags) |> Enum.sort() |> Enum.dedup()\n  end\n\n  def tags_documentation do\n    [\n      %{name: \"licence-mobilités\", doc: \"Applique la licence mobilités pour ce jeu de données\"},\n      %{\n        name: \"loi-climat-resilience\",\n        doc:\n          \"Ce jeu de données est soumis à l'obligation de réutilisation selon l'article 122 de la loi climat et résilience\"\n      },\n      %{name: \"requestor_ref:<valeur>\", doc: \"Renseigne le requestor_ref des ressources SIRI pour ce jeu de données\"},\n      %{name: \"skip_history\", doc: \"Désactive l'historisation des ressources pour ce jeu de données\"},\n      %{\n        name: \"masqué\",\n        doc:\n          \"Masque ce jeu de données des statistiques, de la recherche et de l'API. Le jeu reste accessible via son URL directe (web et API).\"\n      },\n      %{\n        name: \"authentification_requise\",\n        doc: \"Indique sur la page du JDD qu'il est nécessaire de s'authentifier pour accéder aux données.\"\n      },\n      %{\n        name: \"experimental\",\n        doc: \"Ajoute sur la page du JDD une bannière indiquant que le jeu est expérimental\"\n      },\n      %{\n        name: Application.fetch_env!(:transport, :data_sharing_pilot_dataset_custom_tag),\n        doc: \"Indique que ce jeu de données est éligible à l'expérimentation du repartage de données améliorées\"\n      },\n      %{\n        name: \"authentification_experimentation\",\n        doc: \"Indique que pour ce jeu de données on utilisera des URLs en transport.data.gouv.fr\"\n      }\n    ]\n  end\n\n  def mount(socket) do\n    {:ok,\n     socket\n     |> assign(\n       tags_documentation: tags_documentation(),\n       tag_suggestions: tags_suggestions()\n     )}\n  end\n\n  def handle_event(\"change\", %{\"form\" => %{\"tag_input\" => tag}}, socket) do\n    if tag in socket.assigns.tag_suggestions do\n      add_tag(tag, socket)\n    else\n      {:noreply, socket}\n    end\n  end\n\n  def handle_event(\"add_tag\", %{\"key\" => \"Enter\", \"value\" => tag}, socket) do\n    add_tag(tag, socket)\n  end\n\n  def handle_event(\"add_tag\", _, socket) do\n    {:noreply, socket}\n  end\n\n  def handle_event(\"remove_tag\", %{\"tag\" => tag}, socket) do\n    custom_tags = socket.assigns.custom_tags -- [tag]\n    send(self(), {:updated_custom_tags, custom_tags})\n\n    {:noreply, socket}\n  end\n\n  defp add_tag(tag, socket) do\n    # Do not lowercase a tag for a SIRI requestor_ref\n    clean_tag =\n      if String.starts_with?(tag, \"requestor_ref:\") do\n        tag |> String.trim()\n      else\n        tag |> String.downcase() |> String.trim()\n      end\n\n    custom_tags = (socket.assigns.custom_tags ++ [clean_tag]) |> Enum.uniq()\n    send(self(), {:updated_custom_tags, custom_tags})\n\n    {:noreply, socket |> clear_input()}\n  end\n\n  def clear_input(socket) do\n    push_event(socket, \"backoffice-form-reset\", %{})\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/data_import_batch_report_live.ex",
    "content": "defmodule TransportWeb.Backoffice.DataImportBatchReportLive do\n  use Phoenix.LiveView\n  use Phoenix.HTML\n  import TransportWeb.Backoffice.JobsLive, only: [ensure_admin_auth_or_redirect: 3]\n  import Ecto.Query\n  import TransportWeb.Router.Helpers\n\n  @impl true\n  def mount(_params, %{\"current_user\" => current_user} = _session, socket) do\n    {:ok,\n     ensure_admin_auth_or_redirect(socket, current_user, fn socket ->\n       socket\n       |> assign_data()\n       |> assign(job_running: false)\n     end)}\n  end\n\n  def assign_data(socket) do\n    record = DB.Repo.one(from(x in DB.DataImportBatch, order_by: [desc: x.id], limit: 1))\n\n    if record do\n      result = record.summary[\"result\"]\n\n      socket\n      |> assign(\n        result: sort(result),\n        stats: compute_stats(result),\n        last_updated_at: (record.inserted_at |> DateTime.truncate(:second) |> to_string()) <> \" UTC\"\n      )\n    else\n      socket\n      |> assign(\n        result: [],\n        stats: nil,\n        last_updated_at: nil\n      )\n    end\n  end\n\n  @doc \"\"\"\n  Provide a default sort helping us group errors by similarity\n  \"\"\"\n  def sort(result) do\n    Enum.sort_by(result, fn item ->\n      [item[\"status\"], item[\"error_struct\"], item[\"error_message\"]]\n    end)\n  end\n\n  @doc \"\"\"\n  Provide a bit of stats to display a summary\n  \"\"\"\n  def compute_stats(result) do\n    result\n    |> Enum.group_by(fn x -> x[\"status\"] end)\n    |> Enum.map_join(\", \", fn {k, v} -> \"#{k} : #{Enum.count(v)}\" end)\n  end\n\n  @impl true\n  def handle_event(\"refresh\", _, socket) do\n    send(self(), :enqueue_job)\n    {:noreply, socket |> assign(:job_running, true)}\n  end\n\n  @impl true\n  def handle_info(:enqueue_job, socket) do\n    :ok = Oban.Notifier.listen([:gossip])\n\n    %{id: job_id} =\n      %{}\n      |> Transport.Jobs.GTFSImportStopsJob.new()\n      |> Oban.insert!()\n\n    socket =\n      receive do\n        {:notification, :gossip, %{\"complete\" => ^job_id}} ->\n          socket\n          |> assign(:job_running, false)\n          |> assign_data()\n      end\n\n    Oban.Notifier.unlisten([:gossip])\n    {:noreply, socket}\n  end\n\n  # catch-all\n  def handle_info(_, socket) do\n    {:noreply, socket}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/data_import_batch_report_live.html.heex",
    "content": "<section class=\"container pt-48 pb-48\">\n  <h2>Rapport du dernier batch import GTFS</h2>\n  <div class=\"pb-24\">\n    <%= if @last_updated_at do %>\n      <p>Mis à jour à {@last_updated_at}</p>\n    <% end %>\n    <button class=\"button\" phx-click=\"refresh\" disabled={@job_running}>\n      {if @job_running, do: \"En cours…\", else: \"Rafraîchir\"}\n    </button>\n    <a target=\"_blank\" href=\"/backoffice/gtfs-export\"><button class=\"button\">Export</button></a>\n    <%= if @stats do %>\n      <p>Résumé : {@stats}</p>\n    <% end %>\n  </div>\n  <table class=\"table\">\n    <thead>\n      <tr>\n        <th>Resource Id</th>\n        <th>Resource History Id</th>\n        <th>Status</th>\n        <th>Erreur</th>\n        <th>Erreur desc</th>\n      </tr>\n    </thead>\n    <%= for item <- @result do %>\n      <tr>\n        <td><a href={resource_path(@socket, :details, item[\"resource_id\"])}>{item[\"resource_id\"]}</a></td>\n        <td>{item[\"resource_history_id\"]}</td>\n        <td>{item[\"status\"]}</td>\n        <td>{item[\"error_struct\"]}</td>\n        <td>{item[\"error_message\"] || item[\"error\"]}</td>\n      </tr>\n    <% end %>\n  </table>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/dataset_subtype_live.ex",
    "content": "defmodule TransportWeb.DatasetSubtypeLive do\n  use Phoenix.LiveComponent\n  alias TransportWeb.InputHelpers\n\n  def render(assigns) do\n    ~H\"\"\"\n    <div>\n      <div :if={Enum.count(@dataset_subtypes_list) > 0} class=\"pt-24\">\n        <label>\n          Sous-type {InputHelpers.text_input(@form, :dataset_subtype_input,\n            list: \"dataset_subtypes\",\n            phx_keydown: \"add_subtype\",\n            phx_target: @myself,\n            id: \"js-dataset-subtype-input\"\n          )}\n        </label>\n        <datalist id=\"dataset_subtypes\" phx-keydown=\"add_subtype\">\n          <%= for dataset_subtype <- @dataset_subtypes_list do %>\n            <option value={dataset_subtype.slug}>{display(dataset_subtype)}</option>\n          <% end %>\n        </datalist>\n        <div class=\"pt-6\">\n          <%= for {dataset_subtype, index} <- @dataset_subtypes |> Enum.sort_by(& &1.slug) |> Enum.with_index() do %>\n            <span class=\"label custom-tag\">\n              {display(dataset_subtype)}\n              <span class=\"delete-tag\" phx-click=\"remove_subtype\" phx-value-slug={dataset_subtype.slug} phx-target={@myself}>\n              </span>\n            </span>\n            <% {field_name, field_value} = field_info(dataset_subtype, index) %>\n            {Phoenix.HTML.Form.hidden_input(@form, field_name, value: field_value)}\n          <% end %>\n        </div>\n      </div>\n    </div>\n    \"\"\"\n  end\n\n  def update(assigns, socket) do\n    dataset_type = get_in(assigns.form_params.source[\"type\"])\n\n    dataset_subtypes_list =\n      DB.DatasetSubtype\n      |> DB.Repo.all()\n      |> Enum.map(&serialize/1)\n      |> Enum.filter(&(&1.parent_type == dataset_type))\n\n    dataset_subtypes = assigns.dataset_subtypes |> Enum.map(&serialize/1) |> Enum.filter(&(&1 in dataset_subtypes_list))\n\n    {:ok,\n     socket\n     |> assign(assigns)\n     |> assign(:dataset_subtypes, dataset_subtypes)\n     |> assign(:dataset_subtypes_list, dataset_subtypes_list)\n     |> assign(:dataset_type, dataset_type)}\n  end\n\n  def handle_event(\"add_subtype\", %{\"key\" => \"Enter\", \"value\" => value}, socket) do\n    new_subtype = Enum.find(socket.assigns.dataset_subtypes_list, &(&1.slug == value))\n    dataset_subtypes = (socket.assigns.dataset_subtypes ++ [new_subtype]) |> Enum.uniq()\n\n    if is_nil(new_subtype) do\n      {:noreply, socket}\n    else\n      # new dataset_subtypes list is sent to the parent liveview form\n      # because this is a LiveComponent, the process of the parent is the same.\n      send(self(), {:updated_dataset_subtypes, dataset_subtypes})\n      {:noreply, socket |> clear_input()}\n    end\n  end\n\n  def handle_event(\"add_subtype\", _, socket) do\n    {:noreply, socket}\n  end\n\n  def handle_event(\"remove_subtype\", %{\"slug\" => slug}, socket) do\n    dataset_subtypes = Enum.reject(socket.assigns.dataset_subtypes, &(&1.slug == slug))\n\n    send(self(), {:updated_dataset_subtypes, dataset_subtypes})\n\n    {:noreply, socket}\n  end\n\n  # clear the input using a js hook\n  def clear_input(socket) do\n    push_event(socket, \"backoffice-form-dataset-subtypes-reset\", %{})\n  end\n\n  def serialize(%DB.DatasetSubtype{} = subtype) do\n    %{\n      parent_type: subtype.parent_type,\n      slug: subtype.slug\n    }\n  end\n\n  def serialize(%{parent_type: _, slug: _} = map), do: map\n\n  def display(%{slug: slug}), do: slug\n  def field_info(subtype, index), do: {\"dataset_subtypes[#{index}]\", subtype.slug}\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/declarative_spatial_areas_live.ex",
    "content": "defmodule TransportWeb.DeclarativeSpatialAreasLive do\n  use Phoenix.LiveComponent\n  alias TransportWeb.InputHelpers\n  use Gettext, backend: TransportWeb.Gettext\n\n  def render(assigns) do\n    ~H\"\"\"\n    <div class=\"pt-24\">\n      <label>\n        {dgettext(\"backoffice\", \"spatial areas label\")}\n      </label>\n      <br />\n      {InputHelpers.text_input(\n        @form,\n        :spatial_areas_search_input,\n        placeholder: \"Recherchez votre territoire…\",\n        phx_change: \"change\",\n        phx_target: @myself,\n        id: \"spatial_areas_search_input\",\n        required: @required\n      )}\n      <div\n        :if={@administrative_division_search_matches != []}\n        class=\"autoCompleteResultsField\"\n        id=\"administrative_divisions_suggestions\"\n      >\n        <div id=\"autoCompleteResults\">\n          <ul id=\"autoComplete_list\">\n            <li class=\"autoComplete_result\"></li>\n            <li class=\"autoComplete_result\"></li>\n            <%= for match <- @administrative_division_search_matches do %>\n              <li class=\"autoComplete_result\" phx-target={@myself} phx-click=\"select_division\" phx-value-id={match.id} }>\n                <div>\n                  <span class=\"autocomplete_name\">{match.nom}</span>\n                  <span class=\"autocomplete_type\">\n                    {match.insee} – {DB.AdministrativeDivision.display_type(match)}\n                  </span>\n                </div>\n              </li>\n            <% end %>\n          </ul>\n        </div>\n      </div>\n\n      <div :for={{division, index} <- Enum.with_index(@declarative_spatial_areas)} class=\"pt-6\">\n        <span class={[\"label\", \"custom-tag\"] ++ [color_class(division)]}>\n          {division.nom} ({division.insee} – {DB.AdministrativeDivision.display_type(division)})\n          <span class=\"delete-tag\" phx-click=\"remove_division\" phx-value-id={division.id} phx-target={@myself}></span>\n        </span>\n        {Phoenix.HTML.Form.hidden_input(@form, \"declarative_spatial_area_#{index}\", value: division.id)}\n      </div>\n\n      <script nonce={@nonce}>\n        // Handle arrow up/down to select autocomplete items\n        const searchInput = document.getElementById('spatial_areas_search_input');\n        let currentSelectedIndex = -1;\n\n        function updateSelection() {\n          const searchResults = document.getElementById('autoCompleteResults');\n          const results = Array.from(searchResults.querySelectorAll('.autoComplete_result[phx-click]'));\n\n          results.forEach((item, index) => {\n            item.classList.remove(\"autoComplete_selected\")\n            if (index === currentSelectedIndex) {\n              item.classList.add(\"autoComplete_selected\");\n            }\n          });\n        }\n\n        window.onclick = function(event) {\n          if (!event.target.matches('#autoCompleteResults')) {\n            document.getElementById(\"autoCompleteResults\").classList.add('hidden');\n          }\n        }\n\n        searchInput.addEventListener('keydown', (event) => {\n          const searchResults = document.getElementById('autoCompleteResults');\n          const results = Array.from(searchResults.querySelectorAll('.autoComplete_result[phx-click]'));\n          if (results.length === 0) {\n            return;\n          }\n\n          switch (event.key) {\n            case 'ArrowDown':\n              event.preventDefault(); // Prevent cursor from moving in input\n              currentSelectedIndex = (currentSelectedIndex + 1) % results.length;\n              updateSelection();\n              break;\n            case 'ArrowUp':\n              event.preventDefault(); // Prevent cursor from moving in input\n              currentSelectedIndex = (currentSelectedIndex - 1 + results.length) % results.length;\n              updateSelection();\n              break;\n            case 'Enter':\n              if (currentSelectedIndex > -1 && currentSelectedIndex < results.length) {\n                event.preventDefault();\n                const selectedItem = results[currentSelectedIndex];\n                selectedItem.click();\n                currentSelectedIndex = -1; // Reset selection\n              }\n              break;\n          }\n        });\n      </script>\n    </div>\n    \"\"\"\n  end\n\n  def mount(socket) do\n    searchable_administrative_divisions = DB.AdministrativeDivision.load_searchable_administrative_divisions()\n\n    socket =\n      socket\n      |> assign(\n        :searchable_administrative_divisions,\n        searchable_administrative_divisions\n      )\n      |> assign(:administrative_division_search_matches, [])\n\n    {:ok, socket}\n  end\n\n  def update(assigns, socket) do\n    {:ok, socket |> assign(assigns) |> assign(:required, assigns.declarative_spatial_areas |> Enum.empty?())}\n  end\n\n  def handle_event(\"change\", %{\"form\" => %{\"spatial_areas_search_input\" => \"\"}}, socket) do\n    {:noreply, assign(socket, matches: [], administrative_division_search_matches: [])}\n  end\n\n  def handle_event(\"change\", %{\"form\" => %{\"spatial_areas_search_input\" => query}}, socket) do\n    existing_ids = Enum.map(socket.assigns.declarative_spatial_areas, & &1.id)\n\n    matches =\n      socket.assigns.searchable_administrative_divisions\n      |> DB.AdministrativeDivision.search(query)\n      |> DB.AdministrativeDivision.sorted()\n      |> Enum.reject(&(&1.id in existing_ids))\n      |> Enum.take(5)\n\n    {:noreply, assign(socket, administrative_division_search_matches: matches)}\n  end\n\n  def handle_event(\"select_division\", %{\"id\" => id}, socket) do\n    division = DB.AdministrativeDivision |> DB.Repo.get!(id)\n\n    declarative_spatial_areas = socket.assigns.declarative_spatial_areas ++ [division]\n\n    send(self(), {:updated_spatial_areas, declarative_spatial_areas})\n\n    {:noreply, socket |> assign(administrative_division_search_matches: [])}\n  end\n\n  def handle_event(\"remove_division\", %{\"id\" => id}, socket) do\n    declarative_spatial_areas =\n      socket.assigns.declarative_spatial_areas\n      |> Enum.reject(fn division ->\n        division.id == String.to_integer(id)\n      end)\n\n    send(self(), {:updated_spatial_areas, declarative_spatial_areas})\n\n    {:noreply, socket}\n  end\n\n  def clear_input(socket) do\n    # TODO: this doesn’t work, the input is not cleared\n    push_event(socket, \"backoffice-form-spatial-areas-reset\", %{})\n  end\n\n  defp color_class(%DB.AdministrativeDivision{type: :commune}), do: \"green\"\n  defp color_class(%DB.AdministrativeDivision{type: :epci}), do: \"blue\"\n  defp color_class(%DB.AdministrativeDivision{type: :departement}), do: \"orange\"\n  defp color_class(%DB.AdministrativeDivision{type: :region}), do: \"grey\"\n  defp color_class(%DB.AdministrativeDivision{type: :pays}), do: \"dark-blue\"\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/edit_dataset_live.ex",
    "content": "defmodule TransportWeb.EditDatasetLive do\n  use Phoenix.LiveView\n  use Phoenix.HTML\n  use Gettext, backend: TransportWeb.Gettext\n  alias DB.Dataset\n  import TransportWeb.Router.Helpers\n  alias TransportWeb.InputHelpers\n\n  def mount(\n        _params,\n        %{\n          \"dataset\" => dataset,\n          \"dataset_types\" => dataset_types,\n          \"regions\" => regions,\n          \"csp_nonce_value\" => nonce\n        },\n        socket\n      ) do\n    form_url =\n      case dataset do\n        nil -> backoffice_dataset_path(socket, :post)\n        %{id: dataset_id} -> backoffice_dataset_path(socket, :post, dataset_id)\n      end\n\n    dataset_organization =\n      case dataset do\n        nil -> nil\n        %{organization: organization} -> organization\n      end\n\n    socket =\n      socket\n      |> assign(:dataset, dataset)\n      |> assign(:dataset_types, dataset_types)\n      |> assign(:nonce, nonce)\n      |> assign(:regions, regions)\n      |> assign(:form_url, form_url)\n      |> assign(:dataset_organization, dataset_organization)\n      |> assign(:organization_types, organization_types())\n      |> assign(:legal_owners, get_legal_owners(dataset))\n      |> assign(:trigger_submit, false)\n      |> assign(:form_params, form_params(dataset))\n      |> assign(:custom_tags, get_custom_tags(dataset))\n      |> assign(:offers, get_offers(dataset))\n      |> assign(:declarative_spatial_areas, get_declarative_spatial_areas(dataset))\n      |> assign(:dataset_subtypes, get_dataset_subtypes(dataset))\n      |> assign(:matches, [])\n      |> assign(:company, get_company(dataset))\n\n    {:ok, socket}\n  end\n\n  def form_params(%DB.Dataset{} = dataset) do\n    %{\n      \"url\" => Dataset.datagouv_url(dataset),\n      \"custom_title\" => dataset.custom_title,\n      \"legal_owner_company_siren\" => dataset.legal_owner_company_siren,\n      \"type\" => dataset.type\n    }\n    |> to_form()\n  end\n\n  def form_params(nil) do\n    %{\n      \"url\" => \"\",\n      \"custom_title\" => \"\",\n      \"legal_owner_company_siren\" => \"\",\n      \"type\" => \"\"\n    }\n    |> to_form()\n  end\n\n  def get_legal_owners(%Dataset{} = dataset) do\n    # current legal owners, to initiate the state of the legal_owner_select_live component\n    %{legal_owners_aom: legal_owners_aom, legal_owners_region: legal_owners_region} = dataset\n\n    legal_owners_aom = legal_owners_aom |> Enum.map(fn aom -> %{id: aom.id, type: \"aom\", label: aom.nom} end)\n\n    legal_owners_region =\n      legal_owners_region |> Enum.map(fn region -> %{id: region.id, type: \"region\", label: region.nom} end)\n\n    legal_owners_aom ++ legal_owners_region\n  end\n\n  def get_legal_owners(_), do: []\n\n  def get_custom_tags(%Dataset{} = dataset) do\n    dataset.custom_tags || []\n  end\n\n  def get_custom_tags(_), do: []\n\n  def get_offers(%DB.Dataset{} = dataset) do\n    Enum.map(dataset.offers, &TransportWeb.OfferSelectLive.serialize/1)\n  end\n\n  def get_offers(_), do: []\n\n  def get_declarative_spatial_areas(%Dataset{} = dataset) do\n    dataset.declarative_spatial_areas || []\n  end\n\n  def get_declarative_spatial_areas(_), do: []\n\n  def get_dataset_subtypes(%Dataset{} = dataset) do\n    dataset.dataset_subtypes || []\n  end\n\n  def get_dataset_subtypes(_), do: []\n\n  def get_company(%Dataset{legal_owner_company_siren: siren}) when not is_nil(siren) do\n    DB.Repo.get(DB.Company, siren)\n  end\n\n  def get_company(_), do: nil\n\n  def organization_types,\n    do: [\n      \"AOM\",\n      \"Réseau\",\n      \"Opérateur de transport\",\n      \"Partenariat régional\",\n      \"Fournisseur de système\"\n    ]\n\n  def handle_event(\n        \"change_dataset\",\n        %{\"_target\" => [\"form\", \"url\"], \"form\" => %{\"url\" => datagouv_url} = form_params},\n        socket\n      ) do\n    # new dataset or existing dataset with new url => get info from data.gouv\n    socket =\n      if datagouv_url != \"\" and\n           (socket.assigns.dataset == nil or\n              datagouv_url != Dataset.datagouv_url(socket.assigns.dataset)) do\n        Task.async(fn -> get_datagouv_infos(datagouv_url) end)\n        socket\n      else\n        assign(socket, datagouv_infos: nil, dataset_organization: nil)\n      end\n\n    socket = socket |> assign(:form_params, form_params |> to_form())\n    {:noreply, socket}\n  end\n\n  def handle_event(\"change_dataset\", %{\"_target\" => _, \"form\" => %{} = form_params}, socket) do\n    # persist the form input values\n    socket = socket |> assign(:form_params, form_params |> to_form())\n    {:noreply, socket}\n  end\n\n  # allow a classic http form submit when the form is submitted by user\n  def handle_event(\"save\", _, socket) do\n    {:noreply, assign(socket, trigger_submit: true)}\n  end\n\n  def handle_event(\"suggest_communes\", %{\"value\" => query}, socket) when byte_size(query) <= 100 do\n    matches =\n      query\n      |> Transport.SearchCommunes.search()\n      |> Enum.take(5)\n\n    {:noreply, assign(socket, matches: matches)}\n  end\n\n  def handle_event(_, _, socket) do\n    {:noreply, socket}\n  end\n\n  # handle info sent from the child live component to update the list of legal owners\n  def handle_info({:updated_legal_owner, legal_owners}, socket) do\n    {:noreply, socket |> assign(:legal_owners, legal_owners)}\n  end\n\n  def handle_info({:updated_custom_tags, custom_tags}, socket) do\n    {:noreply, socket |> assign(:custom_tags, custom_tags)}\n  end\n\n  def handle_info({:updated_dataset_subtypes, dataset_subtypes}, socket) do\n    {:noreply, socket |> assign(:dataset_subtypes, dataset_subtypes)}\n  end\n\n  def handle_info({:updated_offers, offers}, socket) do\n    new_aoms =\n      offers\n      |> Enum.reject(&is_nil(&1.aom_id))\n      |> Enum.map(&%{id: &1.aom_id, type: \"aom\", label: &1.nom_aom})\n\n    legal_owners = (socket.assigns.legal_owners ++ new_aoms) |> Enum.uniq()\n\n    {:noreply, socket |> assign(:offers, offers) |> assign(:legal_owners, legal_owners)}\n  end\n\n  def handle_info({:updated_spatial_areas, updated_spatial_areas}, socket) do\n    {\n      :noreply,\n      socket\n      |> assign(:declarative_spatial_areas, updated_spatial_areas)\n      |> TransportWeb.DeclarativeSpatialAreasLive.clear_input()\n    }\n  end\n\n  # get the result from the async Task triggered by \"change_dataset\"\n  def handle_info({ref, datagouv_infos}, socket) do\n    # we stop monitoring the process after receiving the result\n    Process.demonitor(ref, [:flush])\n\n    socket =\n      socket\n      |> assign(datagouv_infos: datagouv_infos)\n      |> assign(dataset_organization: Map.get(datagouv_infos, :organization))\n\n    {:noreply, socket}\n  end\n\n  def handle_info(_, socket) do\n    {:noreply, socket}\n  end\n\n  def get_datagouv_infos(datagouv_url) do\n    infos = Datagouvfr.Client.Datasets.get_infos_from_url(datagouv_url)\n\n    case infos do\n      nil ->\n        %{dataset_datagouv_id: nil}\n\n      %{id: dataset_datagouv_id, title: title, organization: organization} ->\n        # does the dataset already exists?\n        dataset_id =\n          case DB.Dataset |> DB.Repo.get_by(datagouv_id: dataset_datagouv_id) do\n            %{id: id} -> id\n            _ -> nil\n          end\n\n        %{\n          dataset_datagouv_id: dataset_datagouv_id,\n          datagouv_title: title,\n          dataset_id: dataset_id,\n          organization: organization\n        }\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/edit_dataset_live.html.heex",
    "content": "<.form\n  :let={f}\n  for={@form_params}\n  as={:form}\n  action={@form_url}\n  phx-change=\"change_dataset\"\n  phx-submit=\"save\"\n  phx-trigger-action={@trigger_submit}\n  onkeydown=\"return event.key != 'Enter';\"\n>\n  <h1>\n    <%= if is_nil(@dataset) do %>\n      {dgettext(\"backoffice\", \"Add a dataset\")}\n    <% else %>\n      {dgettext(\"backoffice\", \"Edit a dataset\")}\n    <% end %>\n  </h1>\n  <%= unless is_nil(assigns[:dataset]) do %>\n    <div class=\"pb-24\">\n      <i class=\"fa fa-external-link-alt\"></i>\n      {link(dgettext(\"backoffice\", \"See dataset on website\"), to: dataset_path(@socket, :details, @dataset.id))}\n    </div>\n  <% end %>\n\n  <p :if={not is_nil(@dataset) and not @dataset.is_active} class=\"notification warning\">\n    Ce jeu de données a été supprimé de data.gouv.fr. Il faudrait probablement remplacer son URL source ou le déréférencer.\n  </p>\n\n  <div class=\"pt-24\">\n    {InputHelpers.text_input(f, :url, placeholder: dgettext(\"backoffice\", \"Dataset's url\"))}\n\n    <%= if assigns[:datagouv_infos] do %>\n      <% dataset_datagouv_id = @datagouv_infos[:dataset_datagouv_id] %>\n\n      <div class=\"pt-12 pb-12\">\n        <%= if is_nil(dataset_datagouv_id) do %>\n          Impossible de trouver ce jeu de données sur data.gouv\n        <% else %>\n          <div>Jeu de données <strong>\"{@datagouv_infos[:datagouv_title]}\"</strong></div>\n          <div class=\"pt-12\">\n            Son identifiant data.gouv est <code>{@datagouv_infos[:dataset_datagouv_id]}</code>\n          </div>\n          <div class=\"pt-12\">\n            <%= if @datagouv_infos[:dataset_id] do %>\n              ⚠️ Ce jeu de données est déjà référencé {link(\"sur le PAN\",\n                to: backoffice_page_path(@socket, :edit, @datagouv_infos[:dataset_id]),\n                target: \"_blank\"\n              )}, il n'est pas possible de le référencer une seconde fois.\n            <% else %>\n              Ce jeu n'est pas encore référencé chez nous ✅\n            <% end %>\n          </div>\n        <% end %>\n      </div>\n    <% end %>\n    {InputHelpers.text_input(f, :custom_title, placeholder: dgettext(\"backoffice\", \"name\"), label: \"Titre\")}\n    {InputHelpers.select(f, :type, @dataset_types,\n      selected:\n        if not is_nil(@dataset) do\n          @dataset.type\n        else\n          \"public-transit\"\n        end,\n      label: \"Type\"\n    )}\n  </div>\n\n  <.live_component\n    module={TransportWeb.DatasetSubtypeLive}\n    id=\"dataset_subtypes\"\n    form={f}\n    dataset_subtypes={@dataset_subtypes}\n    form_params={@form_params}\n  />\n  <.live_component module={TransportWeb.CustomTagsLive} id=\"custom_tags\" form={f} custom_tags={@custom_tags} />\n\n  <p :if={not is_nil(@dataset) and @dataset.is_hidden} class=\"notification\">\n    Ce jeu de données est masqué\n  </p>\n\n  <div :if={@dataset_organization} class=\"panel mt-48\">\n    <div class=\"panel-explanation\">\n      {dgettext(\"backoffice\", \"published by\")}\n    </div>\n    <h4>{@dataset_organization}</h4>\n    {select(f, :organization_type, @organization_types,\n      selected:\n        if not is_nil(@dataset) do\n          @dataset.organization_type\n        end,\n      required: true,\n      prompt: dgettext(\"backoffice\", \"Publisher type\")\n    )}\n  </div>\n\n  <div class=\"panel mt-48\">\n    <div class=\"panel-explanation\">\n      {dgettext(\"backoffice\", \"Offers\")}\n    </div>\n    <.live_component module={TransportWeb.OfferSelectLive} id=\"offers_selection\" form={f} offers={@offers} />\n  </div>\n\n  <div class=\"panel mt-48\">\n    <div class=\"panel-explanation\">\n      {dgettext(\"backoffice\", \"Legal owners\")}\n    </div>\n    <.live_component\n      module={TransportWeb.LegalOwnerSelectLive}\n      id=\"owners_selection\"\n      form={f}\n      owners={@legal_owners}\n      offers={@offers}\n    />\n    <div class=\"pt-12\">{dgettext(\"backoffice\", \"or\")}</div>\n    <div class=\"pt-12\">\n      <label>\n        {dgettext(\"backoffice\", \"Company SIREN code\")}\n        {InputHelpers.text_input(f, :legal_owner_company_siren,\n          placeholder: \"821611431\",\n          pattern: \"\\\\d{9,9}\"\n        )}\n      </label>\n      <%= if @company do %>\n        <span>{@company.nom_complet}</span>\n      <% end %>\n    </div>\n  </div>\n\n  <div class=\"panel mt-48\">\n    <div class=\"panel__header\">\n      <h4>\n        {dgettext(\"backoffice\", \"Spatial area\")}\n      </h4>\n    </div>\n    <.live_component\n      module={TransportWeb.DeclarativeSpatialAreasLive}\n      id=\"declarative_spatial_areas\"\n      form={f}\n      declarative_spatial_areas={@declarative_spatial_areas}\n      nonce={@nonce}\n    />\n  </div>\n\n  <div id=\"backoffice_dataset_submit_buttons\" class={if is_nil(@dataset), do: \"pb-48\"}>\n    <div>\n      <%= if is_nil(@dataset) do %>\n        {hidden_input(f, :action, value: \"new\")}\n        {InputHelpers.submit(dgettext(\"backoffice\", \"Add\"))}\n      <% else %>\n        {hidden_input(f, :action, value: \"edit\")}\n        {InputHelpers.submit(dgettext(\"backoffice\", \"Save\"))}\n      <% end %>\n    </div>\n    <div>\n      {link(dgettext(\"backoffice\", \"Cancel\"), to: backoffice_page_path(@socket, :index))}\n    </div>\n  </div>\n</.form>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/email_preview_live.ex",
    "content": "defmodule TransportWeb.Backoffice.EmailPreviewLive do\n  use Phoenix.LiveView\n  use TransportWeb.InputHelpers\n  import Ecto.Query\n  import TransportWeb.Backoffice.JobsLive, only: [ensure_admin_auth_or_redirect: 3]\n  import TransportWeb.InputHelpers\n  import TransportWeb.Router.Helpers\n\n  @impl true\n  def mount(params, %{\"current_user\" => current_user, \"csp_nonce_value\" => nonce} = _session, socket) do\n    {:ok,\n     ensure_admin_auth_or_redirect(socket, current_user, fn socket ->\n       contact = DB.Repo.get_by(DB.Contact, datagouv_user_id: current_user[\"id\"])\n       socket |> assign(contact: contact, selected_email: nil, search: params[\"search\"], nonce: nonce) |> emails()\n     end)}\n  end\n\n  def emails(%Phoenix.LiveView.Socket{assigns: %{contact: contact}} = socket) do\n    [dataset, other_dataset] =\n      DB.Dataset.base_query()\n      |> preload(:resources)\n      |> where([dataset: d], d.type == \"public-transit\")\n      |> limit(2)\n      |> DB.Repo.all()\n\n    emails = [\n      {:resources_changed, [\"reuser\", \"notification\"], Transport.UserNotifier.resources_changed(contact, dataset)},\n      {:new_comments_reuser, [\"reuser\", \"comments\"],\n       Transport.UserNotifier.new_comments_reuser(contact, [dataset, other_dataset])},\n      {:new_comments_producer, [\"producer\", \"comments\"],\n       Transport.UserNotifier.new_comments_producer(\n         contact,\n         2,\n         [\n           {:ok, dataset.datagouv_id, \"Titre\",\n            [\n              %{\n                \"posted_by\" => %{\"first_name\" => \"John\", \"last_name\" => \"Doe\"},\n                \"content\" => \"Commentaire\",\n                \"discussion_id\" => \"foo\"\n              }\n            ]}\n         ]\n       )},\n      {:promote_reuser_space, [\"reuser\"], Transport.UserNotifier.promote_reuser_space(contact)},\n      {:dataset_now_on_nap, [\"producer\"], Transport.UserNotifier.dataset_now_on_nap(contact, dataset)},\n      {:datasets_switching_climate_resilience_bill, [\"reuser\"],\n       Transport.UserNotifier.datasets_switching_climate_resilience_bill(contact, [[:ok, dataset]], [[:ok, dataset]])},\n      {:multi_validation_with_error_notification, [\"producer\", \"notification\", \"error\"],\n       Transport.UserNotifier.multi_validation_with_error_notification(contact, :producer,\n         dataset: dataset,\n         resources: dataset.resources,\n         validator_name: nil,\n         job_id: nil,\n         attempt: nil\n       )},\n      {:multi_validation_with_error_notification, [\"reuser\", \"notification\", \"error\"],\n       Transport.UserNotifier.multi_validation_with_error_notification(contact, :reuser,\n         dataset: dataset,\n         producer_warned: true,\n         validator_name: nil,\n         job_id: nil,\n         attempt: nil\n       )},\n      {:resource_unavailable, [\"producer\", \"notification\", \"availability\"],\n       Transport.UserNotifier.resource_unavailable(contact, :producer,\n         dataset: dataset,\n         hours_consecutive_downtime: 42,\n         deleted_recreated_on_datagouv: true,\n         resource_titles: Enum.map_join(dataset.resources, \",\", & &1.title),\n         unavailabilities: nil,\n         job_id: nil,\n         attempt: nil\n       )},\n      {:resource_unavailable, [\"reuser\", \"notification\", \"availability\"],\n       Transport.UserNotifier.resource_unavailable(contact, :reuser,\n         dataset: dataset,\n         hours_consecutive_downtime: 42,\n         producer_warned: true,\n         resource_titles: Enum.map_join(dataset.resources, \",\", & &1.title),\n         unavailabilities: nil,\n         job_id: nil,\n         attempt: nil\n       )},\n      {:periodic_reminder_producers_no_subscriptions, [\"producer\"],\n       Transport.UserNotifier.periodic_reminder_producers_no_subscriptions(contact, [dataset, other_dataset])},\n      {:periodic_reminder_producers_with_subscriptions, [\"producer\"],\n       Transport.UserNotifier.periodic_reminder_producers_with_subscriptions(contact, [dataset, other_dataset], [\n         contact\n       ])},\n      {:new_datasets, [\"reuser\"], Transport.UserNotifier.new_datasets(contact, [dataset, other_dataset])},\n      {:expiration_producer, [\"producer\", \"notification\", \"expiration\"],\n       Transport.UserNotifier.expiration_producer(contact, dataset, dataset.resources, 0)},\n      {:expiration_reuser, [\"reuser\", \"notification\", \"expiration\"],\n       Transport.UserNotifier.expiration_reuser(contact, \"<p>Exemple de contenu</p>\")},\n      {:promote_producer_space, [\"producer\"], Transport.UserNotifier.promote_producer_space(contact)},\n      {:warn_inactivity, [\"contact\"], Transport.UserNotifier.warn_inactivity(contact, \"Dans 1 mois\")},\n      {:visit_download_statistics, [\"producer\"], Transport.UserNotifier.visit_download_statistics(contact)},\n      {:visit_proxy_statistics, [\"producer\"], Transport.UserNotifier.visit_proxy_statistics(contact)}\n    ]\n\n    tags = Enum.flat_map(emails, &elem(&1, 1)) |> Enum.uniq() |> Enum.sort()\n\n    socket |> assign(emails: emails, filtered_emails: emails, tags: tags)\n  end\n\n  @impl true\n  def handle_event(\"see_email\", %{\"key_name\" => key_name}, socket) do\n    key_name = String.to_existing_atom(key_name)\n    {:noreply, socket |> assign(selected_email: find_email(socket, key_name))}\n  end\n\n  @impl true\n  def handle_event(\"receive_email\", %{\"key_name\" => key_name}, socket) do\n    key_name = String.to_existing_atom(key_name)\n    find_email(socket, key_name) |> Transport.Mailer.deliver()\n    {:noreply, socket}\n  end\n\n  @impl true\n  def handle_event(\n        \"receive_selected_email\",\n        _params,\n        %Phoenix.LiveView.Socket{assigns: %{selected_email: %Swoosh.Email{} = selected_email}} = socket\n      ) do\n    selected_email |> Transport.Mailer.deliver()\n    {:noreply, socket}\n  end\n\n  @impl true\n  def handle_event(\"change\", %{\"search\" => search}, %Phoenix.LiveView.Socket{} = socket) do\n    {:noreply, socket |> push_patch(to: backoffice_live_path(socket, __MODULE__, search: search))}\n  end\n\n  @impl true\n  def handle_params(%{\"search\" => _} = params, _uri, socket) do\n    {:noreply, socket |> filter_config(params)}\n  end\n\n  def handle_params(_params, _uri, socket) do\n    {:noreply, socket}\n  end\n\n  defp find_email(%Phoenix.LiveView.Socket{assigns: %{emails: emails}}, key_name) do\n    Enum.find_value(emails, fn {key, _tags, item} -> if key == key_name, do: item end)\n  end\n\n  defp filter_config(%Phoenix.LiveView.Socket{} = socket, %{\"search\" => search}) do\n    socket |> assign(%{search: search}) |> filter_config()\n  end\n\n  defp filter_config(\n         %Phoenix.LiveView.Socket{assigns: %{emails: emails, search: search}} =\n           socket\n       ) do\n    socket |> assign(%{filtered_emails: emails |> filter_by_search(search)})\n  end\n\n  defp filter_by_search(config, \"\"), do: config\n\n  defp filter_by_search(config, value) do\n    Enum.filter(config, fn {identifier, tags, %Swoosh.Email{subject: subject}} ->\n      Enum.any?([\n        String.contains?(normalize(subject), normalize(value)),\n        String.contains?(Enum.join(tags, \",\"), normalize(value)),\n        String.contains?(normalize(identifier), normalize(value))\n      ])\n    end)\n  end\n\n  @doc \"\"\"\n  iex> normalize(\"Paris\")\n  \"paris\"\n  iex> normalize(\"vélo\")\n  \"velo\"\n  iex> normalize(\"Châteauroux\")\n  \"chateauroux\"\n  iex> normalize(:alpha)\n  \"alpha\"\n  \"\"\"\n  def normalize(value) do\n    value |> to_string() |> String.normalize(:nfd) |> String.replace(~r/[^A-z]/u, \"\") |> String.downcase()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/email_preview_live.html.heex",
    "content": "<section class=\"container pt-48 pb-48\">\n  <h1>Email preview</h1>\n  <.form :let={f} for={%{}} phx-change=\"change\" id=\"backoffice_search_container\">\n    {search_input(f, :search, value: @search, id: \"backoffice_search\", list: \"tags\")}\n  </.form>\n  <datalist id=\"tags\">\n    <option :for={tag <- @tags} value={tag}></option>\n  </datalist>\n  <table class=\"table mt-48 mb-24\">\n    <thead>\n      <tr>\n        <th>ID</th>\n        <th>Sujet</th>\n        <th>Tags</th>\n        <th>Actions</th>\n      </tr>\n    </thead>\n    <tbody>\n      <%= for {id, tags, email} <- @filtered_emails |> Enum.sort_by(& elem(&1, 2).subject) do %>\n        <tr>\n          <td><code>{id}</code></td>\n          <td data-name=\"subject\">{email.subject}</td>\n          <td>\n            <span :for={tag <- tags} class=\"label\">{tag}</span>\n          </td>\n          <td>\n            <a href=\"#preview\" class=\"button-outline primary small\" phx-click=\"see_email\" phx-value-key_name={id}>\n              <i class=\"fa-solid fa-magnifying-glass\"></i> Voir\n            </a>\n            <a href=\"#\" class=\"button-outline secondary small\" phx-click=\"receive_email\" phx-value-key_name={id}>\n              <i class=\"fa-solid fa-envelope\"></i> Recevoir\n            </a>\n          </td>\n        </tr>\n      <% end %>\n    </tbody>\n  </table>\n</section>\n<section class=\"section-grey\">\n  <div class=\"container pt-48 pb-48\">\n    <h2 id=\"preview\">Prévisualisation</h2>\n    <div :if={@selected_email} class=\"panel dashboard-description\">\n      <div class=\"\">\n        <h4>{@selected_email.subject}</h4>\n        <iframe id=\"email_preview\" srcdoc={@selected_email.html_body}></iframe>\n        <a href=\"#\" class=\"mt-24 button-outline primary small\" phx-click=\"receive_selected_email\">\n          <i class=\"fa-solid fa-envelope\"></i> Recevoir\n        </a>\n      </div>\n    </div>\n  </div>\n</section>\n<script nonce={@nonce}>\n    document.addEventListener('keydown', function (event) {\n      if (event.key === '/' && !['INPUT', 'TEXTAREA'].includes(document.activeElement.tagName)) {\n          const searchInput = document.getElementById('backoffice_search')\n          if (searchInput) {\n              event.preventDefault()\n              searchInput.focus()\n              searchInput.select()\n          }\n      }\n  })\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/irve_dashboard_live.ex",
    "content": "defmodule TransportWeb.Backoffice.IRVEDashboardLive do\n  use Phoenix.LiveView\n  use Phoenix.HTML\n  import TransportWeb.Backoffice.JobsLive, only: [ensure_admin_auth_or_redirect: 3]\n  import Helpers, only: [format_number_maybe_nil: 2]\n  import Ecto.Query, only: [last: 2]\n\n  @impl true\n  def mount(_params, %{\"current_user\" => current_user} = _session, socket) do\n    {:ok,\n     ensure_admin_auth_or_redirect(socket, current_user, fn socket ->\n       :ok = Oban.Notifier.listen([:gossip])\n\n       socket\n       |> assign_data()\n     end)}\n  end\n\n  @doc \"\"\"\n  A quick and dirty filter on some interesting fields, using downcase matching.\n  \"\"\"\n  def must_list_resource?(resource, filtering_expression) do\n    filtering_expression = filtering_expression |> String.downcase() |> String.trim()\n\n    filtering_expression == \"\" ||\n      String.contains?(resource[\"dataset_organisation_name\"] |> String.downcase(), filtering_expression) ||\n      String.contains?(\n        format_validity(resource[\"valid\"], resource[\"http_status\"])\n        |> inspect\n        |> String.downcase(),\n        filtering_expression\n      )\n  end\n\n  def assign_data(socket) do\n    socket\n    |> assign(:running, false)\n    |> assign(:latest_report, latest_report())\n    |> assign(:filtering_expression, \"\")\n  end\n\n  @impl true\n  def handle_event(\"change_form\", params, socket) do\n    socket =\n      socket\n      |> assign(:filtering_expression, params[\"config\"][\"filtering_expression\"])\n\n    {:noreply, socket}\n  end\n\n  @impl true\n  def handle_event(\"analyze\", _, socket) do\n    # NOTE: the job is configured to be unique including executing state, so the rest\n    # of the code here does not rely on the job id and assumes it is indeed unique\n    Transport.Jobs.AnalyzeIRVEJob.new(%{})\n    |> Oban.insert!()\n\n    {:noreply, socket}\n  end\n\n  def update_assigns({\"progress\", progress}, socket) do\n    socket\n    |> assign(:running, true)\n    |> assign(:completion_message, \"#{progress}% complete…\")\n  end\n\n  def update_assigns({\"complete\"}, socket) do\n    socket\n    |> assign(:running, false)\n    |> assign(:completion_message, \"completed!\")\n    |> assign(:latest_report, latest_report())\n  end\n\n  def update_assigns({\"failed\"}, socket) do\n    socket\n    |> assign(:running, false)\n    |> assign(:completion_message, \"failed!\")\n  end\n\n  @impl true\n  def handle_info({:notification, :gossip, %{\"type\" => \"analyze_irve\"} = args}, socket) do\n    socket =\n      case args do\n        %{\"status\" => \"progress\" = status, \"progress\" => progress} ->\n          update_assigns({status, progress}, socket)\n\n        %{\"status\" => \"complete\" = status} ->\n          update_assigns({status}, socket)\n\n        %{\"status\" => \"failed\" = status} ->\n          update_assigns({status}, socket)\n      end\n\n    {:noreply, socket}\n  end\n\n  # ignore other gossip\n  @impl true\n  def handle_info({:notification, :gossip, _args}, socket) do\n    {:noreply, socket}\n  end\n\n  def latest_report do\n    report =\n      DB.ProcessingReport\n      |> last(:id)\n      |> DB.Repo.one()\n\n    maybe_reformat_report(report)\n  end\n\n  def maybe_reformat_report(nil), do: nil\n\n  def maybe_reformat_report(report) do\n    %{\n      inserted_at: report.inserted_at,\n      resources: sort_resources(report.content[\"resources\"])\n    }\n  end\n\n  def sort_resources(resources) do\n    resources\n    |> Enum.sort_by(fn x -> x[\"line_count\"] end, :desc)\n  end\n\n  def format_validity(false, 200), do: {:safe, \"<strong class='red'>KO</strong>\"}\n  def format_validity(true, 200), do: \"OK\"\n  def format_validity(nil, 200), do: \"Non testé\"\n  # mostly there to handle 404/500. Ignore validity and assume the resource is not reachable at all\n  def format_validity(_validity, http_status), do: {:safe, \"<strong class='red'>KO (#{http_status})</strong>\"}\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/irve_dashboard_live.html.heex",
    "content": "<section class=\"container pt-48 pb-48\">\n  <button class=\"button\" phx-click=\"analyze\" disabled={@running}>Lancer l'analyse consolidée</button>\n  <%= if assigns[:completion_message] do %>\n    {@completion_message}\n  <% end %>\n\n  <%= if @latest_report do %>\n    <h1>Rapport IRVE</h1>\n    <p>Généré à {@latest_report.inserted_at} ({@latest_report.resources |> length} ressources analysées)</p>\n\n    <.form :let={f} id=\"filtering_expression\" for={%{}} as={:config} phx-change=\"change_form\" phx-submit=\"ignore\">\n      {text_input(f, :filtering_expression,\n        value: @filtering_expression,\n        placeholder: \"Filtre (org / validité uniquement)\"\n      )}\n    </.form>\n    <table class=\"table mt-48\">\n      <thead>\n        <tr>\n          <th>Dataset</th>\n          <th>Org</th>\n          <th>Ressource (Nom / FileType / LastModified)</th>\n          <th>Validité</th>\n          <th>Nb&nbsp;PDC</th>\n        </tr>\n      </thead>\n      <tbody>\n        <%= for resource <- @latest_report.resources do %>\n          <tr :if={must_list_resource?(resource, @filtering_expression)}>\n            <td>\n              <.link target=\"_blank\" href={\"https://www.data.gouv.fr/fr/datasets/\" <> resource[\"dataset_id\"]}>\n                {resource[\"dataset_title\"]}\n              </.link>\n            </td>\n            <td>\n              <.link target=\"_blank\" href={resource[\"dataset_organisation_url\"]}>\n                {resource[\"dataset_organisation_name\"]}\n              </.link>\n            </td>\n            <td>\n              {resource[\"resource_title\"]}\n              <br /> <span class=\"label\">{resource[\"filetype\"]}</span>\n              &mdash; {resource[\"last_modified\"] |> String.slice(0..15)}\n            </td>\n            <td>\n              {format_validity(resource[\"valid\"], resource[\"http_status\"])}\n            </td>\n            <td>{format_number_maybe_nil(resource[\"line_count\"], nil_result: \"???\")}</td>\n          </tr>\n        <% end %>\n      </tbody>\n    </table>\n  <% end %>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/jobs2_live.ex",
    "content": "defmodule TransportWeb.Backoffice.Jobs2Live do\n  @moduledoc \"\"\"\n  A quick dashboard for jobs.\n  \"\"\"\n  use Gettext, backend: TransportWeb.Gettext\n  use Phoenix.LiveView\n  use Phoenix.HTML\n  import Ecto.Query\n  import TransportWeb.Router.Helpers\n\n  @states [:executing, :completed, :scheduled, :retryable, :available, :discarded, :cancelled]\n\n  @max_jobs 100\n\n  # Authentication is assumed to happen in regular HTTP land. Here we verify\n  # the user presence + belonging to admin team, or redirect immediately.\n  @impl true\n  def mount(params, %{\"current_user\" => current_user} = session, socket) do\n    state =\n      %{\n        locale: Map.get(session, \"locale\", \"fr\"),\n        states: @states,\n        selected_job: nil\n      }\n      |> Map.merge(extract_params(params))\n\n    {:ok,\n     ensure_admin_auth_or_redirect(socket, current_user, fn socket ->\n       if connected?(socket), do: schedule_next_update_data()\n\n       socket |> assign(state) |> update_data()\n     end)}\n  end\n\n  # TO DO: DRY code with proxy live\n  # If one calls \"redirect\" and does not leave immediately, the remaining code will\n  # be executed, opening security issues. This method goal is to minimize this risk.\n  # See https://hexdocs.pm/phoenix_live_view/security-model.html for overall docs.\n  #\n  # Also, disconnect will have to be handled:\n  # https://hexdocs.pm/phoenix_live_view/security-model.html#disconnecting-all-instances-of-a-given-live-user\n  #\n  def ensure_admin_auth_or_redirect(socket, current_user, func) do\n    socket = assign(socket, current_user: current_user)\n\n    if TransportWeb.Session.admin?(socket) do\n      # We track down the current admin so that it can be used by next actions\n      # Then call the remaining code, which is expected to return the socket\n      func.(socket)\n    else\n      redirect(socket, to: \"/login\")\n    end\n  end\n\n  defp schedule_next_update_data do\n    Process.send_after(self(), :update_data, 1000)\n  end\n\n  defp load_job(job_id) do\n    from(j in \"oban_jobs\",\n      select: map(j, [:id, :state, :queue, :worker, :args, :inserted_at, :scheduled_at, :errors])\n    )\n    |> where([o], o.id == ^job_id)\n    |> oban_one()\n  end\n\n  def last_jobs_query(n) do\n    from(j in \"oban_jobs\",\n      select: map(j, [:id, :state, :queue, :worker, :args, :inserted_at, :scheduled_at, :errors]),\n      order_by: [desc: j.id],\n      limit: ^n\n    )\n  end\n\n  def count_jobs_query do\n    from(j in \"oban_jobs\",\n      select: count()\n    )\n  end\n\n  def filter_worker(query, nil), do: query\n  def filter_worker(query, \"\"), do: query\n\n  def filter_worker(query, worker_filter) do\n    reg = \"%#{worker_filter}%\"\n    query |> where([o], ilike(o.worker, ^reg))\n  end\n\n  def filter_states(query, []) do\n    query |> limit(0)\n  end\n\n  def filter_states(query, states) do\n    query |> where([o], o.state in ^states)\n  end\n\n  def jobs_count(condition) do\n    query =\n      from(j in \"oban_jobs\",\n        select: %{\n          worker: j.worker,\n          truncated_date_time: fragment(\"date_trunc('hour', ?) as truncated_date_time\", j.inserted_at),\n          count: count()\n        },\n        group_by: [:worker, fragment(\"truncated_date_time\")],\n        order_by: [desc: fragment(\"truncated_date_time\"), asc: :worker]\n      )\n\n    query\n    |> apply_condition(condition)\n    |> oban_query()\n    |> Enum.group_by(fn d -> Shared.DateTimeDisplay.convert_to_paris_time(d.truncated_date_time) end)\n    |> Enum.sort(:desc)\n  end\n\n  def oban_query(query), do: Oban.config() |> Oban.Repo.all(query)\n\n  def oban_one(query), do: Oban.config() |> Oban.Repo.one(query)\n\n  def last_jobs(n, condition), do: last_jobs_query(n) |> apply_condition(condition) |> oban_query\n\n  def count_jobs(condition), do: count_jobs_query() |> apply_condition(condition) |> oban_query |> Enum.at(0)\n\n  defp apply_condition(query, {worker, active_states}) do\n    query\n    |> filter_worker(worker)\n    |> filter_states(active_states)\n  end\n\n  defp update_data(socket) do\n    locale = socket.assigns |> Map.get(:locale, \"fr\")\n\n    condition = {socket.assigns[:worker], socket.assigns |> active_states()}\n\n    selected_job = socket.assigns[:selected_job] |> maybe(fn job -> load_job(job.id) end)\n\n    assign(socket,\n      last_updated_at: DateTime.utc_now() |> format_datetime(locale),\n      jobs: last_jobs(@max_jobs, condition),\n      count_jobs: count_jobs(condition),\n      jobs_count: jobs_count(condition),\n      selected_job: selected_job\n    )\n  end\n\n  defp maybe(nil, _f), do: nil\n  defp maybe(v, f), do: f.(v)\n\n  defp active_states(assigns) do\n    @states\n    |> Enum.filter(fn state -> assigns[state] end)\n    |> Enum.map(&to_string/1)\n  end\n\n  defp format_datetime(dt, locale) do\n    dt\n    |> Shared.DateTimeDisplay.format_datetime_to_paris(locale, no_timezone: true, with_seconds: true)\n  end\n\n  @impl true\n  def handle_info(:update_data, socket) do\n    schedule_next_update_data()\n    {:noreply, update_data(socket)}\n  end\n\n  @impl true\n  def handle_params(params, _uri, socket) do\n    update = extract_params(params)\n\n    socket = socket |> assign(update)\n\n    {:noreply, update_data(socket)}\n  end\n\n  @impl true\n  def handle_event(\"filter\", %{\"_target\" => [\"reset\"]} = _params, socket) do\n    %{} |> sync_query_params(socket)\n  end\n\n  def handle_event(\"filter\", params, socket) do\n    extract_params(params) |> drop_defaults() |> sync_query_params(socket)\n  end\n\n  def handle_event(\"show-details\", %{\"job_id\" => job_id} = _params, socket) do\n    socket =\n      case Integer.parse(job_id) do\n        {job_id, _} -> socket |> assign(%{selected_job: load_job(job_id)})\n        _ -> socket\n      end\n\n    {:noreply, socket}\n  end\n\n  def handle_event(\"unload-details\", %{} = _params, socket) do\n    {:noreply, socket |> assign(%{selected_job: nil})}\n  end\n\n  defp sync_query_params(update, socket) do\n    socket =\n      socket\n      |> push_patch(to: backoffice_live_path(socket, TransportWeb.Backoffice.Jobs2Live, update))\n\n    {:noreply, socket}\n  end\n\n  def format_1_hour_range(from, locale) do\n    to = DateTime.add(from, 1, :hour)\n\n    days_diff = from |> DateTime.to_date() |> Date.diff(Date.utc_today())\n\n    date =\n      case days_diff do\n        0 -> dgettext(\"backoffice\", \"Today\")\n        -1 -> dgettext(\"backoffice\", \"Yesterday\")\n        1 -> dgettext(\"backoffice\", \"Tomorrow\")\n        _ -> Shared.DateTimeDisplay.format_date(from, locale)\n      end\n\n    # \"#{date} between #{format_time(from)} and #{format_time(to)}\"\n    dgettext(\"backoffice\", \"%{date} between %{from} and %{to}\",\n      date: date,\n      from: format_time(from),\n      to: format_time(to)\n    )\n  end\n\n  defp format_time(dt) do\n    Shared.DateTimeDisplay.format_time_to_paris(dt, \"en\", no_timezone: true)\n  end\n\n  defp extract_params(params) do\n    flags = flags(params, [:listing | @states])\n\n    %{\n      worker: Map.get(params, \"worker\", nil)\n    }\n    |> Map.merge(flags)\n  end\n\n  defp flags(params, keys) do\n    keys\n    |> Enum.map(fn key ->\n      {key, flag(params, to_string(key))}\n    end)\n    |> Map.new()\n  end\n\n  defp flag(params, key) do\n    case Map.get(params, key) do\n      \"true\" -> true\n      \"false\" -> false\n      _ -> true\n    end\n  end\n\n  defp drop_defaults(updates) do\n    Map.reject(updates, fn {_key, value} ->\n      value == true or value == \"\"\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/jobs2_live.html.heex",
    "content": "<section id=\"jobs\">\n  <div class=\"header_with_action_bar\">\n    <h1>{dgettext(\"backoffice\", \"Jobs Observation Center\")}</h1>\n    <span>{dgettext(\"backoffice\", \"Last update:\")} {@last_updated_at}</span>\n  </div>\n\n  <.form :let={f} for={%{}} phx-change=\"filter\" class=\"no-margin jobs-filter\">\n    {text_input(f, :worker, value: @worker, autofocus: true)}\n    <div class=\"vsep\"></div>\n    <label :for={state <- @states} class={\"job-state job-state-#{state}\"}>\n      {checkbox(f, state, value: assigns[state])} {state}\n    </label>\n    <div class=\"vsep\"></div>\n    <label class=\"listing-toggle\">\n      {checkbox(f, :listing, value: @listing)}\n      {dgettext(\"backoffice\", \"listing\")}\n    </label>\n    <div class=\"vsep\"></div>\n    <button class=\"button-outline secondary small\" type=\"reset\" name=\"reset\">{dgettext(\"backoffice\", \"Reset\")}</button>\n    <div :if={@listing and @count_jobs} class=\"vsep\"></div>\n    <div :if={@listing and @count_jobs} class=\"total\">\n      {dngettext(\"backoffice\", \"total: %{n_jobs} job\", \"total: %{n_jobs} jobs\", @count_jobs,\n        n_jobs: Helpers.format_number(@count_jobs)\n      )}\n    </div>\n  </.form>\n\n  <%= if @listing do %>\n    <.live_component module={JobsTableComponent} jobs={@jobs} locale={@locale} id=\"live_jobs\" supports_details />\n    <div :if={@count_jobs > length(@jobs)} class=\"small is-centered\">\n      {dgettext(\"backoffice\", \"truncated (%{hidden} jobs hidden)\", hidden: @count_jobs - length(@jobs))}\n    </div>\n\n    <dialog :if={@selected_job} id=\"job-details\" open class=\"panel right-side\">\n      <div class=\"header_with_action_bar\">\n        <h2>{dgettext(\"backoffice\", \"Job #%{job_id}\", job_id: @selected_job.id)}</h2>\n        <button phx-click=\"unload-details\" class=\"button-outline secondary small\"><i class=\"fa fa-close\"></i></button>\n      </div>\n\n      <h3>{dgettext(\"backoffice\", \"Properties\")}</h3>\n      <table>\n        <tr>\n          <td>{dgettext(\"backoffice\", \"worker\")}</td>\n          <td>{@selected_job.worker}</td>\n        </tr>\n        <tr>\n          <td>{dgettext(\"backoffice\", \"state\")}</td>\n          <td><span class={\"job-state job-state-#{@selected_job.state}\"}>{@selected_job.state}</span></td>\n        </tr>\n        <tr>\n          <td>{dgettext(\"backoffice\", \"queue\")}</td>\n          <td>{@selected_job.queue}</td>\n        </tr>\n        <tr>\n          <td>{dgettext(\"backoffice\", \"inserted_at\")}</td>\n          <td>{format_datetime(@selected_job.inserted_at, @locale)}</td>\n        </tr>\n        <tr>\n          <td>{dgettext(\"backoffice\", \"scheduled_at\")}</td>\n          <td>{format_datetime(@selected_job.scheduled_at, @locale)}</td>\n        </tr>\n      </table>\n\n      <h3>{dgettext(\"backoffice\", \"Arguments\")}</h3>\n      <pre><code>{inspect(@selected_job.args)}</code></pre>\n\n      <%= if length(@selected_job.errors) > 0 do %>\n        <h3>{dgettext(\"backoffice\", \"Errors\")}</h3>\n        <%= for error <- @selected_job.errors do %>\n          <h4>{error[\"attempt\"]} - {format_datetime(error[\"at\"], @locale)}</h4>\n          <pre><code>{error[\"error\"]}</code></pre>\n        <% end %>\n      <% end %>\n    </dialog>\n  <% else %>\n    <table class=\"table\">\n      <thead>\n        <tr>\n          <th>{dgettext(\"backoffice\", \"time range\")}</th>\n          <th>{dgettext(\"backoffice\", \"worker\")}</th>\n          <th>{dgettext(\"backoffice\", \"count\")}</th>\n        </tr>\n      </thead>\n      <tbody>\n        <%= for {hour, rows} <- @jobs_count do %>\n          <tr :for={{row, index} <- Enum.with_index(rows)}>\n            <td :if={index == 0} rowspan={Enum.count(rows)}>\n              {format_1_hour_range(hour, @locale)}\n            </td>\n            <td>{row.worker}</td>\n            <td>{Helpers.format_number(row.count)}</td>\n          </tr>\n        <% end %>\n      </tbody>\n    </table>\n  <% end %>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/jobs_live.ex",
    "content": "defmodule TransportWeb.Backoffice.JobsLive do\n  @moduledoc \"\"\"\n  A quick dashboard for jobs.\n  \"\"\"\n  use Phoenix.LiveView\n  use Phoenix.HTML\n  import Ecto.Query\n  import TransportWeb.Router.Helpers\n\n  # Authentication is assumed to happen in regular HTTP land. Here we verify\n  # the user presence + belonging to admin team, or redirect immediately.\n  @impl true\n  def mount(params, %{\"current_user\" => current_user} = _session, socket) do\n    worker = params |> Map.get(\"worker\", nil)\n\n    {:ok,\n     ensure_admin_auth_or_redirect(socket, current_user, fn socket ->\n       if connected?(socket), do: schedule_next_update_data()\n\n       socket |> assign(%{worker: worker}) |> update_data()\n     end)}\n  end\n\n  # TO DO: DRY code with proxy live\n  # If one calls \"redirect\" and does not leave immediately, the remaining code will\n  # be executed, opening security issues. This method goal is to minimize this risk.\n  # See https://hexdocs.pm/phoenix_live_view/security-model.html for overall docs.\n  #\n  # Also, disconnect will have to be handled:\n  # https://hexdocs.pm/phoenix_live_view/security-model.html#disconnecting-all-instances-of-a-given-live-user\n  #\n  def ensure_admin_auth_or_redirect(socket, current_user, func) do\n    socket = assign(socket, current_user: current_user)\n\n    if TransportWeb.Session.admin?(socket) do\n      # We track down the current admin so that it can be used by next actions\n      # Then call the remaining code, which is expected to return the socket\n      func.(socket)\n    else\n      redirect(socket, to: \"/login\")\n    end\n  end\n\n  defp schedule_next_update_data do\n    Process.send_after(self(), :update_data, 1000)\n  end\n\n  def last_jobs_query(state, n) do\n    from(j in \"oban_jobs\",\n      select: map(j, [:id, :state, :queue, :worker, :args, :inserted_at, :scheduled_at, :errors]),\n      order_by: [desc: j.id],\n      where: j.state == ^state,\n      limit: ^n\n    )\n  end\n\n  def count_jobs_query(state) do\n    from(j in \"oban_jobs\",\n      select: count(),\n      where: j.state == ^state\n    )\n  end\n\n  def filter_worker(query, nil), do: query\n  def filter_worker(query, \"\"), do: query\n\n  def filter_worker(query, worker_filter) do\n    reg = \"%#{worker_filter}%\"\n    query |> where([o], ilike(o.worker, ^reg))\n  end\n\n  def jobs_count(worker) do\n    query =\n      from(j in \"oban_jobs\",\n        select: %{\n          worker: j.worker,\n          truncated_date_time: fragment(\"date_trunc('hour', ?) as truncated_date_time\", j.inserted_at),\n          count: count()\n        },\n        group_by: [:worker, fragment(\"truncated_date_time\")],\n        order_by: [desc: fragment(\"truncated_date_time\"), asc: :worker]\n      )\n\n    query\n    |> filter_worker(worker)\n    |> oban_query()\n    |> Enum.group_by(fn d -> Shared.DateTimeDisplay.convert_to_paris_time(d.truncated_date_time) end)\n    |> Enum.sort(:desc)\n  end\n\n  def oban_query(query), do: Oban.config() |> Oban.Repo.all(query)\n\n  def last_jobs(state, n, worker), do: state |> last_jobs_query(n) |> filter_worker(worker) |> oban_query\n\n  def count_jobs(state, worker), do: state |> count_jobs_query |> filter_worker(worker) |> oban_query |> Enum.at(0)\n\n  defp update_data(socket, worker_filter \\\\ nil) do\n    assign(socket,\n      last_updated_at: (Time.utc_now() |> Time.truncate(:second) |> to_string()) <> \" UTC\",\n      executing_jobs: last_jobs(\"executing\", 5, worker_filter),\n      count_executing_jobs: count_jobs(\"executing\", worker_filter),\n      last_completed_jobs: last_jobs(\"completed\", 5, worker_filter),\n      count_completed_jobs: count_jobs(\"completed\", worker_filter),\n      available_jobs: last_jobs(\"available\", 5, worker_filter),\n      count_available_jobs: count_jobs(\"available\", worker_filter),\n      scheduled_jobs: last_jobs(\"scheduled\", 5, worker_filter),\n      count_scheduled_jobs: count_jobs(\"scheduled\", worker_filter),\n      last_discarded_jobs: last_jobs(\"discarded\", 5, worker_filter),\n      count_discarded_jobs: count_jobs(\"discarded\", worker_filter),\n      retryable_jobs: last_jobs(\"retryable\", 5, worker_filter),\n      count_retryable_jobs: count_jobs(\"retryable\", worker_filter),\n      jobs_count: jobs_count(worker_filter)\n    )\n  end\n\n  @impl true\n  def handle_info(:update_data, socket) do\n    schedule_next_update_data()\n    {:noreply, update_data(socket, socket.assigns |> Map.get(:worker))}\n  end\n\n  @impl true\n  def handle_params(%{\"worker\" => worker}, _uri, socket) do\n    socket = socket |> assign(%{worker: worker})\n\n    {:noreply, update_data(socket, worker)}\n  end\n\n  def handle_params(_params, _uri, socket) do\n    {:noreply, update_data(socket)}\n  end\n\n  @impl true\n  def handle_event(\"filter\", %{\"worker\" => worker}, socket) do\n    socket =\n      socket\n      |> push_patch(to: backoffice_live_path(socket, TransportWeb.Backoffice.JobsLive, worker: worker))\n\n    {:noreply, socket}\n  end\n\n  def format_1_hour_range(from) do\n    to = DateTime.add(from, 1, :hour)\n\n    days_diff = from |> DateTime.to_date() |> Date.diff(Date.utc_today())\n\n    date =\n      case days_diff do\n        0 -> \"Today\"\n        -1 -> \"Yesterday\"\n        1 -> \"Tomorrow\"\n        _ -> Shared.DateTimeDisplay.format_date(from, \"en\")\n      end\n\n    \"#{date} between #{format_time(from)} and #{format_time(to)}\"\n  end\n\n  defp format_time(dt) do\n    Shared.DateTimeDisplay.format_time_to_paris(dt, \"en\", no_timezone: true)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/jobs_live.html.heex",
    "content": "<section class=\"container pt-48 pb-48\">\n  <div class=\"header_with_action_bar\">\n    <h1>Jobs Observation Center</h1>\n    {link(\"version expérimentale\",\n      to: backoffice_live_path(@socket, TransportWeb.Backoffice.Jobs2Live, worker: @worker)\n    )}\n  </div>\n  <p class=\"small\">Dernière mise à jour: {@last_updated_at}</p>\n\n  <div class=\"pb-24\">\n    <.form :let={f} for={%{}} phx-change=\"filter\" class=\"no-margin\">\n      {label(f, \"Filter by worker label\")}\n      {text_input(f, :worker, value: @worker)}\n    </.form>\n  </div>\n  <p>Timezone: Europe/Paris</p>\n\n  <h2>Counts</h2>\n  <table class=\"table\">\n    <thead>\n      <tr>\n        <th>time range (Paris time)</th>\n        <th>worker</th>\n        <th>count</th>\n      </tr>\n    </thead>\n    <tbody>\n      <%= for {hour, rows} <- @jobs_count do %>\n        <%= for {row, index} <- Enum.with_index(rows) do %>\n          <tr>\n            <%= if index == 0 do %>\n              <td rowspan={Enum.count(rows)}>\n                {format_1_hour_range(hour)}\n              </td>\n            <% end %>\n            <td>{row.worker}</td>\n            <td>{Helpers.format_number(row.count)}</td>\n          </tr>\n        <% end %>\n      <% end %>\n    </tbody>\n  </table>\n\n  <h2>Executing jobs</h2>\n  <.live_component module={JobsTableComponent} jobs={@executing_jobs} locale=\"en\" state=\"executing\" id=\"executing_jobs\" />\n  <p class=\"small\">Total: {Helpers.format_number(@count_executing_jobs, locale: \"en\")}</p>\n\n  <h2>Completed jobs</h2>\n  <.live_component\n    module={JobsTableComponent}\n    jobs={@last_completed_jobs}\n    locale=\"en\"\n    state=\"completed\"\n    id=\"completed_jobs\"\n  />\n  <p class=\"small\">Total: {Helpers.format_number(@count_completed_jobs, locale: \"en\")}</p>\n\n  <h2>Scheduled jobs</h2>\n  <.live_component module={JobsTableComponent} jobs={@scheduled_jobs} locale=\"en\" state=\"scheduled\" id=\"scheduled_jobs\" />\n  <p class=\"small\">Total: {Helpers.format_number(@count_scheduled_jobs, locale: \"en\")}</p>\n\n  <h2>Retryable jobs</h2>\n  <.live_component module={JobsTableComponent} jobs={@retryable_jobs} locale=\"en\" state=\"retryable\" id=\"retryable_jobs\" />\n  <p class=\"small\">Total: {Helpers.format_number(@count_retryable_jobs, locale: \"en\")}</p>\n\n  <h2>Available jobs</h2>\n  <.live_component module={JobsTableComponent} jobs={@available_jobs} locale=\"en\" state=\"available\" id=\"available_jobs\" />\n  <p class=\"small\">Total: {Helpers.format_number(@count_available_jobs, locale: \"en\")}</p>\n\n  <h2>Discarded jobs</h2>\n  <.live_component\n    module={JobsTableComponent}\n    jobs={@last_discarded_jobs}\n    locale=\"en\"\n    state=\"discarded\"\n    id=\"discarded_jobs\"\n  />\n  <p class=\"small\">Total: {Helpers.format_number(@count_discarded_jobs, locale: \"en\")}</p>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/jobs_table_component.ex",
    "content": "defmodule JobsTableComponent do\n  @moduledoc \"\"\"\n  A live view table for Oban jobs monitoring\n  \"\"\"\n  use Phoenix.LiveComponent\n  use Gettext, backend: TransportWeb.Gettext\n\n  def render(%{state: _, locale: _, jobs: _} = assigns) do\n    ~H\"\"\"\n    <table class=\"table\">\n      <thead>\n        <tr>\n          <th>id</th>\n          <th :if={is_nil(@state)}>{dgettext(\"backoffice\", \"state\")}</th>\n          <th>{dgettext(\"backoffice\", \"queue\")}</th>\n          <th>{dgettext(\"backoffice\", \"worker\")}</th>\n          <th>{dgettext(\"backoffice\", \"args\")}</th>\n          <th>{dgettext(\"backoffice\", \"inserted_at\")}</th>\n          <th :if={is_nil(@state) or @state in [\"discarded\", \"retryable\"]}>{dgettext(\"backoffice\", \"errors\")}</th>\n          <th :if={is_nil(@state) or @state in [\"scheduled\", \"retryable\"]}>{dgettext(\"backoffice\", \"scheduled_at\")}</th>\n        </tr>\n      </thead>\n      <tbody>\n        <tr :for={job <- @jobs}>\n          <td><.show_details supports_details={assigns[:supports_details] || false} job_id={job.id} /></td>\n          <td :if={is_nil(@state)}><span class={\"job-state job-state-#{job.state}\"}>{job.state}</span></td>\n          <td>{job.queue}</td>\n          <td>{job.worker}</td>\n          <td>{inspect(job.args)}</td>\n          <td><.timestamp dt={job.inserted_at} locale={@locale} /></td>\n          <td :if={is_nil(@state) or @state in [\"discarded\", \"retryable\"]}>\n            <.compact_errors errors={job.errors} locale={@locale} />\n          </td>\n          <td :if={is_nil(@state) or @state in [\"scheduled\", \"retryable\"]}>\n            <.timestamp dt={job.scheduled_at} locale={@locale} />\n          </td>\n        </tr>\n      </tbody>\n    </table>\n    \"\"\"\n  end\n\n  def render(%{jobs: _, locale: _} = assigns) do\n    render(Map.merge(%{state: nil}, assigns))\n  end\n\n  defp show_details(%{supports_details: true, job_id: _} = assigns) do\n    ~H\"\"\"\n    <button class=\"show-details\" phx-click=\"show-details\" phx-value-job_id={@job_id}>{@job_id}</button>\n    \"\"\"\n  end\n\n  defp show_details(%{job_id: _} = assigns) do\n    ~H\"\"\"\n    {@job_id}\n    \"\"\"\n  end\n\n  defp timestamp(%{dt: _, locale: _} = assigns) do\n    ~H\"\"\"\n    <span class=\"timestamp\" data-datetime={format_datetime(@dt, @locale)}>{format_time(@dt, @locale)}</span>\n    \"\"\"\n  end\n\n  defp format_time(dt, locale) do\n    Shared.DateTimeDisplay.format_time_to_paris(dt, locale || \"en\", no_timezone: true, with_seconds: true)\n  end\n\n  defp format_datetime(dt, locale) do\n    Shared.DateTimeDisplay.format_datetime_to_paris(dt, locale || \"en\", no_timezone: true, with_seconds: true)\n  end\n\n  defp compact_errors(%{errors: _, locale: _} = assigns) do\n    ~H\"\"\"\n    <ol class=\"errors\">\n      <li :for={error <- split_errors(@errors)}>\n        <.timestamp dt={error.at} locale={@locale} /> : <code>{error.error}</code>\n      </li>\n    </ol>\n    \"\"\"\n  end\n\n  defp split_errors(errors), do: Enum.map(errors, &split_error/1)\n\n  defp split_error(error) do\n    %{\n      at: Map.get(error, \"at\"),\n      error: Map.get(error, \"error\", \"\") |> extract_message()\n    }\n  end\n\n  defp extract_message(message) do\n    message |> String.split(\"\\n\") |> List.first(\"\") |> String.trim_leading(\"** \")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/legal_owner_select_live.ex",
    "content": "defmodule TransportWeb.LegalOwnerSelectLive do\n  use Phoenix.LiveComponent\n  alias TransportWeb.InputHelpers\n  import Ecto.Query\n\n  def render(assigns) do\n    ~H\"\"\"\n    <div class=\"pt-24\">\n      <label>\n        Une/des AOM locale(s) ou régionale(s) {InputHelpers.text_input(@form, :legal_owner_input,\n          placeholder: \"CC du Val de Morteau\",\n          list: \"owner_suggestions\",\n          phx_keydown: \"add_tag\",\n          phx_change: \"change\",\n          phx_target: @myself,\n          id: \"js-owner-input\"\n        )}\n      </label>\n      <datalist id=\"owner_suggestions\" phx-keydown=\"add_tag\">\n        <%= for owner_suggestion <- @owners_list do %>\n          <option value={owner_label(owner_suggestion)}>{owner_label(owner_suggestion)}</option>\n        <% end %>\n      </datalist>\n      <div class=\"pt-6\">\n        <%= for {owner, index} <- Enum.with_index(@owners) do %>\n          <span class={[\"label\", \"custom-tag\"] ++ [color_class(owner)]}>\n            {owner_label(owner, @owners_list)}\n            <span\n              class=\"delete-tag\"\n              phx-click=\"remove_tag\"\n              phx-value-owner-id={owner.id}\n              phx-value-owner-type={owner.type}\n              phx-target={@myself}\n            >\n            </span>\n          </span>\n          <% {field_name, field_value} = field_info(owner, index) %>\n          {Phoenix.HTML.Form.hidden_input(@form, field_name, value: field_value)}\n        <% end %>\n      </div>\n    </div>\n    \"\"\"\n  end\n\n  def update(assigns, socket) do\n    aoms = DB.AOM |> select([aom], %{label: aom.nom, type: \"aom\", id: aom.id})\n    regions = DB.Region |> select([r], %{label: r.nom, type: \"region\", id: r.id})\n\n    owners_list = aoms |> union_all(^regions) |> DB.Repo.all()\n\n    {:ok, socket |> assign(assigns) |> assign(:owners_list, owners_list)}\n  end\n\n  def handle_event(\"change\", %{\"form\" => %{\"legal_owner_input\" => value}}, socket) do\n    if Enum.find(socket.assigns.owners_list, fn owner -> owner_label(owner) == value end) |> is_nil() do\n      {:noreply, socket}\n    else\n      add_owner(value, socket)\n    end\n  end\n\n  def handle_event(\"add_tag\", %{\"key\" => \"Enter\", \"value\" => value}, socket) do\n    add_owner(value, socket)\n  end\n\n  def handle_event(\"add_tag\", _, socket) do\n    {:noreply, socket}\n  end\n\n  def handle_event(\"remove_tag\", %{\"owner-id\" => owner_id, \"owner-type\" => owner_type}, socket) do\n    owners =\n      socket.assigns.owners\n      |> Enum.reject(fn owner -> owner.id == String.to_integer(owner_id) and owner.type == owner_type end)\n\n    send(self(), {:updated_legal_owner, owners})\n\n    {:noreply, socket}\n  end\n\n  def add_owner(value, socket) do\n    new_owner = Enum.find(socket.assigns.owners_list, fn owner -> owner_label(owner) == value end)\n    legal_owners = (socket.assigns.owners ++ [new_owner]) |> Enum.uniq()\n\n    if is_nil(new_owner) do\n      {:noreply, socket}\n    else\n      # new owners list is sent to the parent liveview form\n      # because this is a LiveComponent, the process of the parent is the same.\n      send(self(), {:updated_legal_owner, legal_owners})\n      {:noreply, socket |> clear_input()}\n    end\n  end\n\n  # clear the input using a js hook\n  def clear_input(socket) do\n    push_event(socket, \"backoffice-form-owner-reset\", %{})\n  end\n\n  def field_info(owner, index) do\n    {\"legal_owners_#{owner.type}[#{index}]\", owner.id}\n  end\n\n  def owner_label(%{label: label, type: type}) do\n    types_display = %{\"aom\" => \"AOM\", \"region\" => \"Région\"}\n    \"#{types_display[type]} : #{label}\"\n  end\n\n  def owner_label(%{type: type, id: id}, owners_list) do\n    owners_list\n    |> Enum.find(fn owner -> owner.type == type and owner.id == id end)\n    |> owner_label()\n  end\n\n  def color_class(%{type: \"aom\"}), do: \"green\"\n  def color_class(%{type: \"region\"}), do: \"blue\"\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/offer_select_live.ex",
    "content": "defmodule TransportWeb.OfferSelectLive do\n  use Phoenix.LiveComponent\n  alias TransportWeb.InputHelpers\n  import Ecto.Query\n\n  def render(assigns) do\n    ~H\"\"\"\n    <div class=\"pt-24\">\n      <label>\n        Offre de transport {InputHelpers.text_input(@form, :offer_input,\n          placeholder: \"Astuce\",\n          list: \"offers\",\n          phx_keydown: \"add_offer\",\n          phx_target: @myself,\n          id: \"js-offer-input\"\n        )}\n      </label>\n      <datalist id=\"offers\" phx-keydown=\"add_offer\">\n        <%= for offer <- @offers_list do %>\n          <option value={offer.id}>{display(offer)}</option>\n        <% end %>\n      </datalist>\n      <div class=\"pt-6\">\n        <%= for {offer, index} <- @offers |> Enum.sort_by(& &1.label) |> Enum.with_index() do %>\n          <span class=\"label custom-tag\">\n            {display(offer)}\n            <span class=\"delete-tag\" phx-click=\"remove_offer\" phx-value-offer-id={offer.id} phx-target={@myself}></span>\n          </span>\n          <% {field_name, field_value} = field_info(offer, index) %>\n          {Phoenix.HTML.Form.hidden_input(@form, field_name, value: field_value)}\n        <% end %>\n      </div>\n    </div>\n    \"\"\"\n  end\n\n  def update(assigns, socket) do\n    offers =\n      DB.Offer\n      |> select([o], [:id, :nom_aom, :nom_commercial, :aom_id])\n      |> DB.Repo.all()\n      |> Enum.map(&serialize/1)\n\n    {:ok, socket |> assign(assigns) |> assign(:offers_list, offers)}\n  end\n\n  def handle_event(\"add_offer\", %{\"key\" => \"Enter\", \"value\" => value}, socket) do\n    new_offer = Enum.find(socket.assigns.offers_list, &(&1.id == String.to_integer(value)))\n    offers = (socket.assigns.offers ++ [new_offer]) |> Enum.uniq()\n\n    if is_nil(new_offer) do\n      {:noreply, socket}\n    else\n      # new offers list is sent to the parent liveview form\n      # because this is a LiveComponent, the process of the parent is the same.\n      send(self(), {:updated_offers, offers})\n      {:noreply, socket |> clear_input()}\n    end\n  end\n\n  def handle_event(\"add_offer\", _, socket) do\n    {:noreply, socket}\n  end\n\n  def handle_event(\"remove_offer\", %{\"offer-id\" => offer_id}, socket) do\n    offers = Enum.reject(socket.assigns.offers, &(&1.id == String.to_integer(offer_id)))\n\n    send(self(), {:updated_offers, offers})\n\n    {:noreply, socket}\n  end\n\n  # clear the input using a js hook\n  def clear_input(socket) do\n    push_event(socket, \"backoffice-form-offer-reset\", %{})\n  end\n\n  def serialize(%DB.Offer{} = offer) do\n    %{\n      id: offer.id,\n      label: offer.nom_commercial,\n      nom_aom: offer.nom_aom,\n      aom_id: offer.aom_id\n    }\n  end\n\n  def display(%{label: label, nom_aom: nom_aom}), do: \"#{label} (#{nom_aom})\"\n  def field_info(offer, index), do: {\"offers[#{index}]\", offer.id}\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/proxy_config_live.ex",
    "content": "defmodule TransportWeb.Backoffice.ProxyConfigLive do\n  @moduledoc \"\"\"\n  A view able to display the current running configuration of the proxy.\n  \"\"\"\n  use Phoenix.LiveView\n  use TransportWeb.InputHelpers\n  alias Transport.Telemetry\n  import TransportWeb.Backoffice.JobsLive, only: [ensure_admin_auth_or_redirect: 3]\n  import TransportWeb.InputHelpers\n  import TransportWeb.Router.Helpers\n\n  # The number of past days we want to report on (as a positive integer).\n  # This is a DRYed ref we are using in multiple places.\n  @stats_days 7\n\n  # Authentication is assumed to happen in regular HTTP land. Here we verify\n  # the user presence + belonging to admin team, or redirect immediately.\n  @impl true\n  def mount(params, %{\"current_user\" => current_user, \"csp_nonce_value\" => nonce} = _session, socket) do\n    {:ok,\n     ensure_admin_auth_or_redirect(socket, current_user, fn socket ->\n       if connected?(socket), do: schedule_next_update_data()\n\n       socket\n       |> assign(nonce: nonce, search: params[\"search\"], type: params[\"type\"], disk: params[\"disk\"])\n       |> init_state()\n       |> update_data()\n     end)}\n  end\n\n  defp schedule_next_update_data do\n    Process.send_after(self(), :update_data, 1000)\n  end\n\n  defp init_state(socket) do\n    socket |> assign(%{search: \"\", type: \"\"})\n  end\n\n  defp update_data(socket) do\n    config = get_proxy_configuration(Transport.Proxy.base_url(socket), @stats_days)\n    {total_ram_size, total_disk_size} = total_cache_sizes(config)\n\n    assign(socket,\n      last_updated_at: (Time.utc_now() |> Time.truncate(:second) |> to_string()) <> \" UTC\",\n      stats_days: @stats_days,\n      proxy_configuration: config,\n      select_options: Enum.map(config, &{&1.type, &1.type}) |> Enum.uniq() |> Enum.sort(),\n      total_ram_size: total_ram_size,\n      total_disk_size: total_disk_size\n    )\n    |> filter_config()\n  end\n\n  @impl true\n  def handle_event(\"change\", %{\"search\" => search, \"type\" => type, \"disk\" => disk}, %Phoenix.LiveView.Socket{} = socket) do\n    {:noreply,\n     socket |> push_patch(to: backoffice_live_path(socket, __MODULE__, search: search, type: type, disk: disk))}\n  end\n\n  @impl true\n  def handle_event(\"refresh_proxy_config\", _value, socket) do\n    config_module().clear_config_cache!()\n    Unlock.DynamicIRVESupervisor.sync_feeds()\n    {:noreply, socket}\n  end\n\n  @impl true\n  def handle_params(%{\"search\" => _, \"type\" => _, \"disk\" => _} = params, _uri, socket) do\n    {:noreply, filter_config(socket, params)}\n  end\n\n  def handle_params(_params, _uri, socket) do\n    {:noreply, update_data(socket)}\n  end\n\n  @impl true\n  def handle_info(:update_data, socket) do\n    schedule_next_update_data()\n    {:noreply, update_data(socket)}\n  end\n\n  def filter_config(%Phoenix.LiveView.Socket{} = socket, %{\"search\" => search} = params) do\n    type = Map.get(params, \"type\", \"\")\n    disk = Map.get(params, \"disk\", false)\n    socket |> assign(%{search: search, type: type, disk: disk}) |> filter_config()\n  end\n\n  defp filter_config(\n         %Phoenix.LiveView.Socket{\n           assigns: %{proxy_configuration: proxy_configuration, search: search, type: type, disk: disk}\n         } =\n           socket\n       ) do\n    filtered_proxy_configuration =\n      proxy_configuration |> filter_by_type(type) |> filter_by_search(search) |> filter_by_disk(disk)\n\n    socket |> assign(%{filtered_proxy_configuration: filtered_proxy_configuration})\n  end\n\n  defp filter_by_type(config, \"\"), do: config\n\n  defp filter_by_type(config, value),\n    do: Enum.filter(config, fn %{type: type} -> type == value end)\n\n  defp filter_by_search(config, \"\"), do: config\n\n  defp filter_by_search(config, value) do\n    Enum.filter(config, fn %{unique_slug: unique_slug} ->\n      String.contains?(normalize(unique_slug), normalize(value))\n    end)\n  end\n\n  defp filter_by_disk(config, \"true\") do\n    Enum.filter(config, fn map ->\n      Map.get(map, :caching, false) == \"disk\" or map.type == \"S3\"\n    end)\n  end\n\n  defp filter_by_disk(config, _), do: config\n\n  @doc \"\"\"\n  iex> normalize(\"Paris\")\n  \"paris\"\n  iex> normalize(\"vélo\")\n  \"velo\"\n  iex> normalize(\"Châteauroux\")\n  \"chateauroux\"\n  \"\"\"\n  def normalize(value) do\n    value |> String.normalize(:nfd) |> String.replace(~r/[^A-z]/u, \"\") |> String.downcase()\n  end\n\n  defp config_module, do: Application.fetch_env!(:transport, :unlock_config_fetcher)\n\n  @doc \"\"\"\n  Builds a list of maps containing what we need on display on screen, based on configuration\n  plus a bit of cache state and statistics.\n  \"\"\"\n  def get_proxy_configuration(proxy_base_url, stats_days) do\n    # NOTE: if the stats query becomes too costly, we will be able to throttle it every N seconds instead,\n    # using a simple cache. At the moment, `get_proxy_configuration` is called once per frame, and not\n    # once per item.\n    stats = DB.Metrics.for_last_days(stats_days, event_names())\n\n    config_module().fetch_config!()\n    |> Map.values()\n    |> Enum.sort_by(& &1.identifier)\n    |> Enum.map(fn resource ->\n      proxy_base_url\n      |> extract_config(resource)\n      |> add_cache_state()\n      |> add_stats(stats)\n    end)\n  end\n\n  defp extract_config(proxy_base_url, %Unlock.Config.Item.Generic.HTTP{} = resource) do\n    %{\n      unique_slug: resource.identifier,\n      proxy_url: Transport.Proxy.resource_url(proxy_base_url, resource.identifier),\n      original_url: resource.target_url,\n      ttl: resource.ttl,\n      type: \"HTTP\",\n      caching: resource.caching\n    }\n  end\n\n  defp extract_config(proxy_base_url, %Unlock.Config.Item.SIRI{} = resource) do\n    %{\n      unique_slug: resource.identifier,\n      proxy_url: Transport.Proxy.resource_url(proxy_base_url, resource.identifier),\n      original_url: resource.target_url,\n      ttl: nil,\n      type: \"SIRI\"\n    }\n  end\n\n  defp extract_config(proxy_base_url, %module{} = resource)\n       when module in [Unlock.Config.Item.Aggregate, Unlock.Config.Item.DynamicIRVEAggregate] do\n    %{\n      unique_slug: resource.identifier,\n      proxy_url: Transport.Proxy.resource_url(proxy_base_url, resource.identifier),\n      original_url: nil,\n      # At time of writing, the global feed is not cached\n      ttl: \"N/A\",\n      # We do not display the internal count for aggregate item at the moment\n      internal_count_default_value: nil,\n      type: module |> Module.split() |> List.last()\n    }\n  end\n\n  defp extract_config(proxy_base_url, %Unlock.Config.Item.S3{} = resource) do\n    %{\n      unique_slug: resource.identifier,\n      proxy_url: Transport.Proxy.resource_url(proxy_base_url, resource.identifier),\n      # TODO: display original bucket & path name\n      original_url: nil,\n      ttl: resource.ttl,\n      type: \"S3\"\n    }\n  end\n\n  defp extract_config(proxy_base_url, %Unlock.Config.Item.GBFS{} = resource) do\n    %{\n      unique_slug: resource.identifier,\n      proxy_url: Transport.Proxy.resource_url(proxy_base_url, resource.identifier) <> \"/gbfs.json\",\n      original_url: resource.base_url,\n      ttl: resource.ttl,\n      type: \"GBFS\"\n    }\n  end\n\n  defp event_names do\n    Telemetry.proxy_request_event_names() |> Enum.map(&Telemetry.database_event_name/1)\n  end\n\n  # a bit over the top, but this allows to keep events & database strings definitions in the telemetry module\n  defp db_filter_for_event(type) do\n    type\n    |> Telemetry.proxy_request_event_name()\n    |> Telemetry.database_event_name()\n  end\n\n  defp add_stats(item, stats) do\n    metrics_target = Unlock.Telemetry.target_for_identifier(item.unique_slug)\n    counts = stats[metrics_target] || %{}\n\n    Map.merge(item, %{\n      stats_external_requests: Map.get(counts, db_filter_for_event(:external), 0),\n      stats_internal_requests:\n        Map.get(counts, db_filter_for_event(:internal), Map.get(item, :internal_count_default_value, 0))\n    })\n  end\n\n  defp add_cache_state(%{caching: \"disk\"} = item) do\n    add_cache_state_for_disk(item)\n  end\n\n  defp add_cache_state(%{type: \"S3\"} = item) do\n    add_cache_state_for_disk(item)\n  end\n\n  defp add_cache_state(item) do\n    cache_key = item.unique_slug |> Unlock.Shared.cache_key()\n    cache_entry = cache_key |> Unlock.Shared.cache_entry()\n\n    if cache_entry do\n      size_bytes = cache_entry.body |> byte_size()\n\n      Map.merge(item, %{\n        cache_size: size_bytes |> Sizeable.filesize(),\n        cache_size_bytes: size_bytes,\n        cache_status: cache_entry.status,\n        cache_ttl: cache_ttl(cache_key)\n      })\n    else\n      item\n    end\n  end\n\n  defp add_cache_state_for_disk(item) do\n    cache_key = item.unique_slug |> Unlock.Shared.cache_key()\n    cache_entry = cache_key |> Unlock.Shared.cache_entry()\n\n    if cache_entry do\n      size_bytes = File.stat!(cache_entry.body).size\n\n      Map.merge(item, %{\n        cache_size: (size_bytes |> Sizeable.filesize()) <> \" sur disque\",\n        cache_size_bytes: size_bytes,\n        cache_status: cache_entry.status,\n        cache_ttl: cache_ttl(cache_key)\n      })\n    else\n      item\n    end\n  end\n\n  def total_cache_sizes(config) do\n    {ram_bytes, disk_bytes} =\n      Enum.reduce(config, {0, 0}, fn item, {ram, disk} ->\n        bytes = Map.get(item, :cache_size_bytes, 0)\n\n        if Map.get(item, :caching) == \"disk\" or item.type == \"S3\" do\n          {ram, disk + bytes}\n        else\n          {ram + bytes, disk}\n        end\n      end)\n\n    {Sizeable.filesize(ram_bytes), Sizeable.filesize(disk_bytes)}\n  end\n\n  defp cache_ttl(cache_key) do\n    case Unlock.Shared.cache_ttl(cache_key) do\n      {:ok, nil} ->\n        \"no ttl\"\n\n      {:ok, res_in_ms} ->\n        in_seconds = res_in_ms / 1000\n        \"#{in_seconds |> Float.round() |> trunc() |> Helpers.format_number()}s\"\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/proxy_config_live.html.heex",
    "content": "<section class=\"container pt-48 pb-48\">\n  <h1>Configuration du Proxy</h1>\n  <a class=\"button\" phx-click=\"refresh_proxy_config\">Recharger la configuration</a>\n  <p>\n    Attention: il faut attendre 5 minutes après le dernier commit sur la\n    <a href=\"https://github.com/transportdatagouvfr/proxy-config/blob/master/proxy-config.yml\">configuration GitHub</a>\n    pour recharger, car GitHub met en cache ses propre fichiers.\n  </p>\n  <p>\n    Les items SIRI sont affichés mais sans métriques et avec des informations manquantes (ex: requestor_ref) pour l'instant\n  </p>\n\n  <.form :let={f} for={%{}} phx-change=\"change\" id=\"backoffice_search_container\">\n    {search_input(f, :search, value: @search, id: \"backoffice_search\")}\n    <div class=\"form__group ml-1em\">\n      {select(f, :type, [{\"Tout\", \"\"}] ++ @select_options,\n        selected: @type,\n        label: \"Type de flux\"\n      )}\n    </div>\n    <div class=\"form__group ml-1em\">\n      {label(f, :disk, \"Cache sur disque\")}{checkbox(f, :disk, value: @disk)}\n    </div>\n  </.form>\n\n  <table class=\"table mt-48\">\n    <thead>\n      <tr>\n        <th>Type</th>\n        <th>Identifiant</th>\n        <th>URL proxy</th>\n        <th>Donnée cible</th>\n        <th title=\"Time To Live (durée en secondes de conservation dans le cache)\">TTL</th>\n        <th>Taille cache</th>\n        <th>Statut HTTP</th>\n        <th><abbr title=\"Time to Live\">TTL</abbr></th>\n        <th title={\"Requêtes reçues par le proxy sur les #{@stats_days} derniers jours\"}>\n          Req ext {@stats_days}j\n        </th>\n        <th title={\"Requêtes envoyées au serveur du producteur sur les #{@stats_days} derniers jours\"}>\n          Req int {@stats_days}j\n        </th>\n      </tr>\n    </thead>\n    <tbody>\n      <%= for resource <- @filtered_proxy_configuration do %>\n        <tr>\n          <td><span class=\"label\">{resource.type}</span></td>\n          <td data-name=\"unique-slug\">{resource.unique_slug}</td>\n          <% # TODO: use regular link helper %>\n          <td><a href={resource.proxy_url}>lien</a></td>\n          <td><a :if={resource.original_url} href={resource.original_url}>lien</a></td>\n          <td>{resource.ttl}</td>\n          <!-- optional stuff, only available when cache is loaded -->\n          <td>{resource[:cache_size]}</td>\n          <td>{resource[:cache_status]}</td>\n          <td>{resource[:cache_ttl]}</td>\n          <!-- computed stuff -->\n          <td>{Helpers.format_number(resource[:stats_external_requests])}</td>\n          <td>{Helpers.format_number_maybe_nil(resource[:stats_internal_requests], nil_result: \"N/C\")}</td>\n        </tr>\n      <% end %>\n    </tbody>\n  </table>\n  <p :if={Enum.count(@filtered_proxy_configuration) < Enum.count(@proxy_configuration)}>\n    <% nb_feeds = Enum.count(@proxy_configuration) - Enum.count(@filtered_proxy_configuration) %>\n    <span :if={nb_feeds == 1}>{Helpers.format_number(nb_feeds)} flux est masqué.</span>\n    <span :if={nb_feeds > 1}>{Helpers.format_number(nb_feeds)} flux sont masqués.</span>\n  </p>\n  <p>\n    Taille totale en RAM : <strong>{@total_ram_size}</strong>\n    · Taille totale sur disque : <strong>{@total_disk_size}</strong>\n  </p>\n  <p class=\"small\">Dernière mise à jour: {@last_updated_at}</p>\n</section>\n<script nonce={@nonce}>\n  document.addEventListener('keydown', function(event) {\n    if (event.key === '/' && !['INPUT', 'TEXTAREA'].includes(document.activeElement.tagName)) {\n      const searchInput = document.getElementById('backoffice_search');\n      if (searchInput) {\n        event.preventDefault();\n        searchInput.focus();\n      }\n    }\n  });\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/rate_limiter_live.ex",
    "content": "defmodule TransportWeb.Backoffice.RateLimiterLive do\n  use Phoenix.LiveView\n  import TransportWeb.Backoffice.JobsLive, only: [ensure_admin_auth_or_redirect: 3]\n  import Helpers, only: [format_number: 1]\n\n  @impl true\n  def mount(_params, %{\"current_user\" => current_user} = _session, socket) do\n    {:ok,\n     ensure_admin_auth_or_redirect(socket, current_user, fn socket ->\n       if connected?(socket), do: schedule_next_update_data()\n\n       socket\n       |> assign(%{\n         phoenix_ddos_max_2min_requests: env_value_to_int(\"PHOENIX_DDOS_MAX_2MIN_REQUESTS\"),\n         phoenix_ddos_max_1hour_requests: env_value_to_int(\"PHOENIX_DDOS_MAX_1HOUR_REQUESTS\"),\n         phoenix_ddos_safelist_ips: env_value_to_list(\"PHOENIX_DDOS_SAFELIST_IPS\"),\n         phoenix_ddos_blocklist_ips: env_value_to_list(\"PHOENIX_DDOS_BLOCKLIST_IPS\"),\n         log_user_agent: env_value(\"LOG_USER_AGENT\"),\n         block_user_agent_keywords: env_value_to_list(\"BLOCK_USER_AGENT_KEYWORDS\"),\n         allow_user_agents: env_value_to_list(\"ALLOW_USER_AGENTS\")\n       })\n       |> update_data()\n     end)}\n  end\n\n  @impl true\n  def handle_info(:update_data, socket) do\n    schedule_next_update_data()\n    {:noreply, update_data(socket)}\n  end\n\n  defp schedule_next_update_data do\n    Process.send_after(self(), :update_data, 1000)\n  end\n\n  defp update_data(socket) do\n    assign(socket,\n      last_updated_at: (Time.utc_now() |> Time.truncate(:second) |> to_string()) <> \" UTC\",\n      ips_in_jail: PhoenixDDoS.Jail.ips_in_jail()\n    )\n  end\n\n  @impl true\n  def handle_event(\"bail_ip_from_jail\", %{\"ip\" => ip}, socket) do\n    PhoenixDDoS.Jail.bail_out(ip)\n    {:noreply, socket}\n  end\n\n  defp env_value(env_value), do: System.get_env(env_value)\n\n  defp env_value_to_int(env_name) do\n    env_name |> System.get_env(\"500\") |> Integer.parse() |> elem(0)\n  end\n\n  defp env_value_to_list(env_name) do\n    case System.get_env(env_name, \"\") do\n      \"\" -> \"<vide>\"\n      value -> value\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/backoffice/rate_limiter_live.html.heex",
    "content": "<section class=\"pb-48\">\n  <div class=\"container\">\n    <h2>Plug</h2>\n    <p>\n      Le plug qui gère la logique de rate limiting, bloquer ou autoriser des requêtes est dans <a\n        href=\"https://github.com/etalab/transport-site/blob/master/apps/transport/lib/transport_web/plugs/rate_limiter.ex\"\n        target=\"_blank\"\n      ><code>TransportWeb.Plugs.RateLimiter</code></a>.\n    </p>\n    <p>\n      Le comptage des requêtes et le blocage d'une adresse IP est effectué par la librairie <a href=\"https://github.com/xward/phoenix_ddos\"><code>phoenix_ddos</code></a>. Le backend est Cachex, qui utilise la RAM. Ainsi un redémarrage de l'application\n      <code>prod-site</code>\n      réinitialise les compteurs et les adresses IPs bloquées.\n    </p>\n\n    <h2>Configuration</h2>\n    <p>\n      Plusieurs variables d'environnement permettent de configurer le fonctionnement. Il faut changer ces variables pour ajuster le comportement puis redémarrer l'application.\n    </p>\n\n    <h4>Volume de requêtes</h4>\n    <ul>\n      <li>\n        <code>PHOENIX_DDOS_MAX_2MIN_REQUESTS</code>\n        : nombre de requêtes max autorisée par IP par période de 2 minutes. Valeur actuelle : {format_number(\n          @phoenix_ddos_max_2min_requests\n        )}\n      </li>\n      <li>\n        <code>PHOENIX_DDOS_MAX_1HOUR_REQUESTS</code>\n        : nombre de requêtes max autorisée par IP par période d'1 heure. Valeur actuelle : {format_number(\n          @phoenix_ddos_max_1hour_requests\n        )}\n      </li>\n    </ul>\n\n    <h4>Adresses IPs autorisées ou bloquées</h4>\n\n    <ul>\n      <li>\n        <code>PHOENIX_DDOS_SAFELIST_IPS</code>\n        : liste d'adresses IP <strong>toujours autorisées</strong>. Les valeurs doivent être séparées par des <code>|</code>. Valeur actuelle :\n        <code>{@phoenix_ddos_safelist_ips}</code>\n      </li>\n      <li>\n        <code>PHOENIX_DDOS_BLOCKLIST_IPS</code>\n        : liste d'adresses IP <strong>toujours bloquées</strong>. Les valeurs doivent être séparées par des <code>|</code>. Valeur actuelle :\n        <code>{@phoenix_ddos_blocklist_ips}</code>\n      </li>\n    </ul>\n\n    <h4>User-Agents</h4>\n\n    <ul>\n      <li>\n        <code>LOG_USER_AGENT</code>\n        : active ou désactive le fait de logguer les user agents. Valeurs possible : <code>true</code>\n        ou <code>false</code>. Valeur actuelle : <code>{@log_user_agent}</code>\n      </li>\n      <li>\n        <code>ALLOW_USER_AGENTS</code>\n        : user agents <strong>toujours autorisés</strong>. Les valeurs doivent être séparées par des <code>|</code>. Valeur actuelle :\n        <code>{@allow_user_agents}</code>\n      </li>\n      <li>\n        <code>BLOCK_USER_AGENT_KEYWORDS</code>\n        : user agents <strong>toujours bloqués</strong>. Les valeurs doivent être séparées par des <code>|</code>. Valeur actuelle :\n        <code>{@block_user_agent_keywords}</code>\n      </li>\n    </ul>\n\n    <h2>Adresses IPs bloquées</h2>\n    <p>\n      <a href=\"https://github.com/xward/phoenix_ddos\"><code>phoenix_ddos</code></a>\n      est la dépendance qui gère l'ajout/le retrait de la jail.\n    </p>\n\n    <p :if={Enum.empty?(@ips_in_jail)}>\n      Personne n'est bloqué actuellement.\n    </p>\n\n    <div :if={Enum.count(@ips_in_jail) > 0}>\n      <p>\n        Adresses IPs actuellement dans la jail :\n      </p>\n\n      <ul>\n        <%= for ip <- @ips_in_jail do %>\n          <li>\n            {ip}\n            <button class=\"button small\" phx-click=\"bail_ip_from_jail\" phx-value-ip={ip}>\n              Retirer de la jail\n            </button>\n          </li>\n        <% end %>\n      </ul>\n    </div>\n    <p class=\"small\">Dernière mise à jour: {@last_updated_at}</p>\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/dataset_notifications_live.ex",
    "content": "defmodule TransportWeb.Live.DatasetNotificationsLive do\n  use Phoenix.LiveView\n  use TransportWeb.InputHelpers\n  use Gettext, backend: TransportWeb.Gettext\n  alias TransportWeb.Live.NotificationsLive\n\n  @role :reuser\n\n  @impl true\n  def mount(_params, %{\"current_user\" => %{\"id\" => user_id}, \"locale\" => locale, \"dataset_id\" => dataset_id}, socket) do\n    Gettext.put_locale(locale)\n\n    current_contact = DB.Repo.get_by!(DB.Contact, datagouv_user_id: user_id)\n    dataset = DB.Repo.get!(DB.Dataset, dataset_id)\n\n    socket =\n      assign(socket, %{\n        current_contact: current_contact,\n        role: @role,\n        datasets: [dataset],\n        dataset: dataset,\n        subscriptions: subscriptions(dataset, current_contact),\n        available_reasons: NotificationsLive.available_reasons(@role)\n      })\n\n    {:ok, socket}\n  end\n\n  @impl true\n  def handle_event(\"toggle\" = event_name, %{} = params, %Phoenix.LiveView.Socket{} = socket) do\n    NotificationsLive.handle_event(event_name, params, socket)\n  end\n\n  defp subscriptions(%DB.Dataset{} = dataset, %DB.Contact{} = contact) do\n    NotificationsLive.notification_subscriptions_for_datasets([dataset], contact, @role)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/dataset_notifications_live.html.heex",
    "content": "<div class=\"row\">\n  <%= for %{reason: reason, explanations: explanations} <- @available_reasons do %>\n    <div class=\"card\">\n      <div class=\"card__content\">\n        <h5>{Transport.NotificationReason.reason_to_str(reason)}</h5>\n        <p>{explanations}</p>\n      </div>\n    </div>\n  <% end %>\n</div>\n\n<table class=\"table mt-24\">\n  <.form :let={f} for={%{}}>\n    <tr>\n      <th scope=\"row\" colspan=\"2\">{@dataset.custom_title}</th>\n    </tr>\n\n    <%= for %{reason: reason} <- @available_reasons do %>\n      <tr>\n        <% subscription = @subscriptions[@dataset.id][reason][:user_subscription] %>\n        <td>{Transport.NotificationReason.reason_to_str(reason)}</td>\n        <td>\n          <div class=\"form__group\">\n            <fieldset>\n              <span {if subscription, do: [class: \"is-grey\"], else: []}>\n                {dgettext(\"espace-producteurs\", \"Off\")}&nbsp;\n              </span>\n              <label class=\"switch\">\n                {checkbox(\n                  f,\n                  reason,\n                  checked: !is_nil(subscription),\n                  phx_value_dataset_id: @dataset.id,\n                  phx_value_reason: reason,\n                  phx_value_subscription_id: if(subscription, do: subscription.id, else: \"\"),\n                  phx_value_action: if(subscription, do: \"turn_off\", else: \"turn_on\"),\n                  phx_click: \"toggle\"\n                )}\n                <span class=\"slider\"></span>\n                <span {if !subscription, do: [class: \"is-grey\"], else: []}>\n                  &nbsp;{dgettext(\"espace-producteurs\", \"On\")}\n                </span>\n              </label>\n            </fieldset>\n          </div>\n        </td>\n      </tr>\n    <% end %>\n  </.form>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/discussions_live.ex",
    "content": "defmodule TransportWeb.DiscussionsLive do\n  @moduledoc \"\"\"\n  Display data.gouv discussions on the dataset page\n  \"\"\"\n  use Phoenix.LiveView\n  use Gettext, backend: TransportWeb.Gettext\n\n  def render(assigns) do\n    ~H\"\"\"\n    <script nonce={@nonce}>\n      window.addEventListener('phx:discussions-loaded', (event) => {\n        event.detail.ids.forEach(id =>\n          addSeeMore(\n            \"0px\",\n            \"#comments-discussion-\" + id,\n            \"<%= dgettext(\"page-dataset-details\", \"Display more\") %>\",\n            \"<%= dgettext(\"page-dataset-details\", \"Display less\") %>\",\n            \"discussion\"\n          )\n        )\n\n        // Scroll to the right place after discussions have been loaded\n        if (window.location.hash) {\n          setTimeout(() => {\n            const id = window.location.hash.substring(1);\n            const element = document.getElementById(id);\n            if (element) element.scrollIntoView({ behavior: \"smooth\" });\n          }, 1000);\n        }\n      })\n    </script>\n\n    <%= if assigns[:discussions] do %>\n      <div>\n        <% nb_open_discussions = Enum.count(@discussions, &is_nil(&1[\"closed\"])) %>\n        <TransportWeb.LayoutView.notification_count count={nb_open_discussions} static={false} />\n        <%= for discussion <- @discussions do %>\n          {Phoenix.View.render(TransportWeb.DatasetView, \"_discussion.html\",\n            discussion: discussion,\n            current_user: @current_user,\n            socket: @socket,\n            dataset: @dataset,\n            admin_member_ids: @admin_member_ids,\n            regulator_member_ids: @regulator_member_ids,\n            org_member_ids: @org_member_ids,\n            org_logo_thumbnail: @org_logo_thumbnail,\n            locale: @locale\n          )}\n        <% end %>\n      </div>\n    <% else %>\n      <div>\n        {dgettext(\"page-dataset-details\", \"loading discussions...\")}\n      </div>\n    <% end %>\n    \"\"\"\n  end\n\n  def mount(\n        _params,\n        %{\n          \"current_user\" => current_user,\n          \"dataset\" => dataset,\n          \"locale\" => locale,\n          \"csp_nonce_value\" => nonce\n        },\n        socket\n      ) do\n    socket =\n      socket\n      |> assign(:current_user, current_user)\n      |> assign(:dataset, dataset)\n      |> assign(:locale, locale)\n      |> assign(:nonce, nonce)\n\n    Gettext.put_locale(locale)\n\n    # async comments loading\n    send(self(), {:fetch_data_gouv_discussions, dataset})\n\n    {:ok, socket}\n  end\n\n  def handle_info({:fetch_data_gouv_discussions, %DB.Dataset{} = dataset}, socket) do\n    discussions = Datagouvfr.Client.Discussions.Wrapper.get(dataset.datagouv_id)\n\n    {org_member_ids, org_logo_thumbnail} = get_datagouv_org_infos(dataset)\n\n    Phoenix.PubSub.broadcast(\n      TransportWeb.PubSub,\n      \"dataset_discussions_count:#{dataset.datagouv_id}\",\n      {:count, discussions |> length()}\n    )\n\n    socket =\n      socket\n      |> assign(\n        discussions: discussions,\n        org_member_ids: org_member_ids,\n        org_logo_thumbnail: org_logo_thumbnail,\n        admin_member_ids: DB.Contact.admin_datagouv_ids(),\n        regulator_member_ids: DB.Contact.regulator_datagouv_ids()\n      )\n      |> push_event(\"discussions-loaded\", %{\n        ids: discussions |> Enum.filter(&discussion_should_be_closed?/1) |> Enum.map(& &1[\"id\"])\n      })\n\n    {:noreply, socket}\n  end\n\n  @doc \"\"\"\n  Decides if a discussion coming from data.gouv.fr API should be displayed as closed for a less cluttered UI.\n\n  A discussion is closed if:\n  - it has a \"closed\" key with a value (same behaviour than on data.gouv.fr)\n  - if the last comment inside the discussion is older than 2 months (because people often forget to close discussions)\n  \"\"\"\n  def discussion_should_be_closed?(%{\"closed\" => closed}) when not is_nil(closed), do: true\n\n  def discussion_should_be_closed?(%{\"discussion\" => comment_list}) do\n    latest_comment_datetime =\n      comment_list\n      |> Enum.map(fn comment ->\n        {:ok, comment_datetime, 0} = DateTime.from_iso8601(comment[\"posted_on\"])\n        comment_datetime\n      end)\n      |> Enum.max(DateTime)\n\n    two_months_ago = DateTime.utc_now() |> TimeWrapper.shift(months: -2)\n    DateTime.compare(two_months_ago, latest_comment_datetime) == :gt\n  end\n\n  defp get_datagouv_org_infos(%DB.Dataset{} = dataset) do\n    case organization_info(dataset) do\n      {:ok, %{\"members\" => members, \"logo_thumbnail\" => logo_thumbnail}} ->\n        {Enum.map(members, fn member -> member[\"user\"][\"id\"] end), logo_thumbnail}\n\n      _ ->\n        {[], nil}\n    end\n  end\n\n  defp organization_info(%DB.Dataset{organization_id: organization_id}) when is_binary(organization_id) do\n    Datagouvfr.Client.Organization.Wrapper.get(organization_id, restrict_fields: true)\n  end\nend\n\ndefmodule TransportWeb.CountDiscussionsLive do\n  @moduledoc \"\"\"\n  A live counter of dicussions for the dataset\n  \"\"\"\n  use Phoenix.LiveView, container: {:span, []}\n\n  def render(assigns) do\n    ~H\"\"\"\n    {if assigns[:count], do: \"(#{@count})\"}\n    \"\"\"\n  end\n\n  def mount(_, %{\"dataset_datagouv_id\" => dataset_datagouv_id}, socket) do\n    if connected?(socket) do\n      # messages are sent by TransportWeb.DiscussionsLive\n      Phoenix.PubSub.subscribe(TransportWeb.PubSub, \"dataset_discussions_count:#{dataset_datagouv_id}\")\n    end\n\n    {:ok, socket}\n  end\n\n  def handle_info({:count, count}, socket) do\n    socket = socket |> assign(:count, count)\n    {:noreply, socket}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/feedback_live.ex",
    "content": "defmodule TransportWeb.Live.FeedbackLive do\n  use Phoenix.LiveView\n  use TransportWeb.InputHelpers\n  import TransportWeb.InputHelpers\n  use Gettext, backend: TransportWeb.Gettext\n  require Logger\n\n  @moduledoc \"\"\"\n  A reusable module to display a feedback form for a given feature, you can display inside a normal view or a live view.\n  In case of normal view, don’t forget to add the app.js script with LiveView js inside the page as if it is not included in the general layout.\n  If you add feedback for a new feature, add it to the list of features.\n  \"\"\"\n\n  @feedback_rating_values DB.UserFeedback.ratings() |> Enum.map(&Atom.to_string/1)\n  @feedback_features DB.UserFeedback.features() |> Enum.map(&Atom.to_string/1)\n\n  def mount(_params, %{\"feature\" => feature, \"locale\" => locale, \"csp_nonce_value\" => nonce} = session, socket)\n      when feature in @feedback_features do\n    current_user_email = session |> get_in([\"current_user\", \"email\"])\n    current_user_id = session |> get_in([\"current_user\", \"id\"])\n    form = %DB.UserFeedback{} |> DB.UserFeedback.changeset(%{email: current_user_email, feature: feature}) |> to_form()\n\n    socket =\n      socket\n      |> assign(\n        nonce: nonce,\n        form: form,\n        current_user_id: current_user_id,\n        feedback_sent: false,\n        feedback_error: false\n      )\n\n    Gettext.put_locale(locale)\n\n    {:ok, socket}\n  end\n\n  def handle_event(\"submit\", %{\"feedback\" => %{\"name\" => name, \"email\" => email}}, socket) when name !== \"\" do\n    # someone filled the honeypot field (\"name\") => discard as spam\n    Logger.info(\"Feedback coming from #{email} has been discarded because it filled the feedback form honeypot\")\n    # spammer get a little fox emoji in their flash message, useful for testing purpose\n    {:noreply, socket |> assign(:feedback_sent, true)}\n  end\n\n  def handle_event(\n        \"submit\",\n        %{\n          \"feedback\" =>\n            %{\"rating\" => rating, \"feature\" => feature} =\n              feedback_params\n        },\n        socket\n      )\n      when rating in @feedback_rating_values and feature in @feedback_features do\n    changeset = %DB.UserFeedback{} |> DB.UserFeedback.changeset(feedback_params)\n    changeset = changeset |> DB.UserFeedback.assoc_contact_from_user_id(socket.assigns.current_user_id)\n\n    with {:ok, feedback} <- DB.Repo.insert(changeset),\n         {:ok, _} <- deliver_mail(feedback) do\n      {:noreply, socket |> assign(:feedback_sent, true)}\n    else\n      _error ->\n        {:noreply, socket |> assign(:feedback_error, true)}\n    end\n  end\n\n  def handle_event(\"submit\", session, socket) do\n    Logger.error(\"Bad parameters for feedback #{inspect(session)}\")\n    {:noreply, socket |> assign(:feedback_error, true)}\n  end\n\n  @spec deliver_mail(DB.UserFeedback.t()) :: {:ok, term} | {:error, term}\n  defp deliver_mail(feedback) do\n    feedback_email =\n      Transport.AdminNotifier.feedback(feedback.rating, feedback.explanation, feedback.email, feedback.feature)\n\n    Transport.Mailer.deliver(feedback_email)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/feedback_live.html.heex",
    "content": "<div class=\"container\">\n  <h2>{dgettext(\"feedback\", \"Leave your feedback\")}</h2>\n  <.form :let={f} :if={!@feedback_sent} for={@form} as={:feedback} phx-submit=\"submit\" class=\"feedback-form no-margin\">\n    <div class=\"form__group feedback-selector\">\n      <fieldset>\n        <legend>{dgettext(\"feedback\", \"What's your feedback on this page?\")}</legend>\n\n        {radio_button(f, :rating, \"like\", id: \"like\")}\n        <%= label f, \"like\", class: \"label-inline\", for: \"like\" do %>\n          <i class=\"fa-regular fa-face-smile feedback-emojis\"></i>\n        <% end %>\n        {radio_button(f, :rating, \"neutral\", id: \"neutral\")}\n        <%= label f, \"neutral\", class: \"label-inline\", for: \"neutral\" do %>\n          <i class=\"fa-regular fa-face-meh feedback-emojis\"></i>\n        <% end %>\n        {radio_button(f, :rating, \"dislike\", id: \"dislike\")}\n        <%= label f, \"like\", class: \"label-inline\", for: \"dislike\" do %>\n          <i class=\"fa-regular fa-face-frown feedback-emojis\"></i>\n        <% end %>\n      </fieldset>\n    </div>\n\n    <div id=\"full-feedback-form\" class=\"hidden\">\n      <div class=\"form__group\">\n        {label(f, :explanation, dgettext(\"feedback\", \"Why?\"), class: \"required\")}\n        {textarea(f, :explanation, required: true)}\n      </div>\n\n      <div class=\"form__group\">\n        {label(f, :email, dgettext(\"feedback\", \"Your email (optional)\"))}\n        {text_input(f, :email, type: \"email\")}\n      </div>\n\n      {text_input(f, :name,\n        placeholder: \"your name\",\n        class: \"form-special-field\",\n        tabindex: \"-1\",\n        autocomplete: \"off\"\n      )}\n\n      {hidden_input(f, :feature)}\n\n      {submit(dgettext(\"feedback\", \"Send the feedback\"), class: \"button\")}\n    </div>\n  </.form>\n\n  <p :if={@feedback_sent} class=\"notification\">{dgettext(\"feedback\", \"Thanks for your feedback!\")}</p>\n  <p :if={@feedback_error}>{gettext(\"There has been an error, try again later\")}</p>\n\n  <script nonce={@nonce}>\n    document.querySelectorAll(\".feedback-selector label\").forEach(\n      function(el) {\n      el.addEventListener('click', function() {\n        document.getElementById(\"full-feedback-form\").classList.remove(\"hidden\");\n      });\n     }\n    );\n  </script>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/follow_dataset_live.ex",
    "content": "defmodule TransportWeb.Live.FollowDatasetLive do\n  @moduledoc \"\"\"\n  A follow/unfollow button for dataset reusers.\n\n  This button is displayed when:\n  - the user is not authenticated: nudge to sign up/log in\n  - the user is authenticated: follow the dataset and find it in the reuser space\n\n  The button is not displayed when the user is a producer of the dataset\n  (cannot be a reuser of your own dataset).\n  \"\"\"\n  use Phoenix.LiveView\n  import Ecto.Query\n  use Gettext, backend: TransportWeb.Gettext\n  import TransportWeb.Router.Helpers\n\n  @impl true\n  def render(assigns) do\n    ~H\"\"\"\n    <% reuser_space_path = reuser_space_path(@socket, :datasets_edit, @dataset.id, utm_campaign: \"follow_dataset_heart\")\n    producer_space_path = espace_producteur_path(@socket, :edit_dataset, @dataset.id, utm_campaign: \"follow_dataset_heart\") %>\n    <div :if={is_nil(@current_user)} class=\"follow-dataset-icon\">\n      <i class={@heart_class} phx-click=\"nudge_signup\"></i>\n      <p :if={@display_banner?} class=\"notification active\">\n        {Phoenix.HTML.raw(\n          dgettext(\n            \"page-dataset-details\",\n            ~s|<a href=\"%{url}\" target=\"_blank\">Log in or sign up</a> to benefit from dataset services.|,\n            url: page_path(@socket, :infos_reutilisateurs)\n          )\n        )}\n      </p>\n    </div>\n    <div :if={not is_nil(@current_user) and not @producer?} class=\"follow-dataset-icon\">\n      <div :if={not @follows_dataset?} class=\"tooltip\">\n        <i class={@heart_class} phx-click=\"follow\"></i>\n        <span class=\"tooltiptext left\">{dgettext(\"page-dataset-details\", \"Follow this dataset\")}</span>\n      </div>\n      <div :if={@follows_dataset?} class=\"tooltip\">\n        <a href={reuser_space_path} target=\"_blank\">\n          <i class={@heart_class}></i>\n        </a>\n        <span class=\"tooltiptext left\">{dgettext(\"page-dataset-details\", \"Manage services for this dataset\")}</span>\n      </div>\n      <p :if={@display_banner?} class=\"notification active\">\n        {Phoenix.HTML.raw(\n          dgettext(\n            \"page-dataset-details\",\n            ~s|Dataset added to your favorites! Personalise your settings from your <a href=\"%{url}\" target=\"_blank\">reuser space</a>.|,\n            url: reuser_space_path\n          )\n        )}\n      </p>\n    </div>\n    <div :if={@producer?} class=\"follow-dataset-icon\">\n      <div class=\"tooltip\">\n        <a href={producer_space_path} target=\"_blank\">\n          <i class={@heart_class}></i>\n        </a>\n        <span class=\"tooltiptext left\">{dgettext(\"page-dataset-details\", \"Manage your dataset\")}</span>\n      </div>\n    </div>\n    \"\"\"\n  end\n\n  @impl true\n  def mount(_params, %{\"current_user\" => current_user, \"dataset_id\" => dataset_id, \"locale\" => locale}, socket) do\n    Gettext.put_locale(locale)\n\n    socket =\n      socket\n      |> assign(%{\n        display_banner?: false,\n        contact: contact(current_user),\n        dataset: DB.Repo.get!(DB.Dataset, dataset_id),\n        current_user: current_user\n      })\n      |> set_computed_assigns()\n\n    {:ok, socket}\n  end\n\n  defp set_computed_assigns(%Phoenix.LiveView.Socket{assigns: %{dataset: dataset, contact: contact}} = socket) do\n    follows_dataset? = DB.DatasetFollower.follows_dataset?(contact, dataset)\n    producer? = producer?(contact, dataset)\n\n    assign(socket, %{\n      follows_dataset?: follows_dataset?,\n      producer?: producer?,\n      heart_class: heart_class(producer?: producer?, follows_dataset?: follows_dataset?)\n    })\n  end\n\n  @impl true\n  def handle_event(\"nudge_signup\", _, %Phoenix.LiveView.Socket{} = socket) do\n    {:noreply, assign(socket, :display_banner?, true)}\n  end\n\n  @impl true\n  def handle_event(\n        \"follow\",\n        _,\n        %Phoenix.LiveView.Socket{assigns: %{dataset: %DB.Dataset{} = dataset, contact: %DB.Contact{} = contact}} =\n          socket\n      ) do\n    maybe_promote_reuser_space(contact)\n    DB.DatasetFollower.follow!(contact, dataset, source: :follow_button)\n    create_notification_subscriptions(contact, dataset)\n    # Hide banner after 10s\n    Process.send_after(self(), :hide_banner, 10_000)\n\n    {:noreply, socket |> assign(:display_banner?, true) |> set_computed_assigns()}\n  end\n\n  @impl true\n  def handle_info(:hide_banner, %Phoenix.LiveView.Socket{} = socket) do\n    {:noreply, assign(socket, :display_banner?, false)}\n  end\n\n  def maybe_promote_reuser_space(%DB.Contact{id: contact_id}) do\n    already_followed_a_dataset? =\n      DB.DatasetFollower\n      |> where([df], df.contact_id == ^contact_id and df.source == :follow_button)\n      |> DB.Repo.exists?()\n\n    unless already_followed_a_dataset? do\n      %{contact_id: contact_id}\n      |> Transport.Jobs.PromoteReuserSpaceJob.new()\n      |> Oban.insert!()\n    end\n  end\n\n  defp create_notification_subscriptions(%DB.Contact{id: contact_id} = contact, %DB.Dataset{id: dataset_id}) do\n    maybe_subscribe_to_daily_new_comments(contact)\n\n    Enum.each(Transport.NotificationReason.subscribable_reasons_related_to_datasets(:reuser), fn reason ->\n      DB.NotificationSubscription.insert!(%{\n        contact_id: contact_id,\n        dataset_id: dataset_id,\n        reason: reason,\n        source: :user,\n        role: :reuser\n      })\n    end)\n  end\n\n  @doc \"\"\"\n  Subscribe the contact to the new comments daily digest:\n  - if the user is not already subscribed\n  - if the user does not have existing subscriptions (they likely deactivated this notification reason)\n  \"\"\"\n  def maybe_subscribe_to_daily_new_comments(%DB.Contact{id: contact_id}) do\n    subscribed_to_daily_new_comments? =\n      DB.NotificationSubscription.base_query()\n      |> where([notification_subscription: ns], ns.contact_id == ^contact_id and ns.reason == :daily_new_comments)\n      |> DB.Repo.exists?()\n\n    existing_subscriptions? =\n      DB.NotificationSubscription.base_query()\n      |> where(\n        [notification_subscription: ns],\n        ns.contact_id == ^contact_id and not is_nil(ns.dataset_id) and ns.role == :reuser\n      )\n      |> DB.Repo.exists?()\n\n    if not subscribed_to_daily_new_comments? and not existing_subscriptions? do\n      DB.NotificationSubscription.insert!(%{\n        contact_id: contact_id,\n        reason: :daily_new_comments,\n        source: :user,\n        role: :reuser\n      })\n    end\n  end\n\n  # Case where the user is not authenticated\n  defp contact(nil = _current_user), do: nil\n\n  defp contact(%{\"id\" => datagouv_user_id} = _current_user),\n    do: DB.Repo.get_by!(DB.Contact, datagouv_user_id: datagouv_user_id)\n\n  # Case where the user is not authenticated\n  defp producer?(nil, _), do: false\n\n  defp producer?(%DB.Contact{id: contact_id}, %DB.Dataset{organization_id: organization_id}) do\n    DB.Contact.base_query()\n    |> join(:inner, [contact: c], c in assoc(c, :organizations), as: :organization)\n    |> where([contact: c, organization: o], c.id == ^contact_id and o.id == ^organization_id)\n    |> DB.Repo.exists?()\n  end\n\n  defp heart_class(options) do\n    if Keyword.get(options, :producer?) do\n      \"fa fa-heart fa-2x producer\"\n    else\n      if Keyword.get(options, :follows_dataset?) do\n        heart_class(follows_dataset?: false) <> \" active\"\n      else\n        \"fa fa-heart fa-2x icon---animated-heart\"\n      end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_explain/explanations.ex",
    "content": "defmodule TransportWeb.GTFSDiffExplain.Explanations do\n  @moduledoc \"\"\"\n  Updates explanations.\n  \"\"\"\n  use Gettext, backend: TransportWeb.Gettext\n\n  def diff_explanations(diffs) do\n    diffs\n    |> Enum.flat_map(fn diff ->\n      diff =\n        diff\n        |> Map.update(\"initial_value\", %{}, &try_jason_decode/1)\n        |> Map.update(\"new_value\", %{}, &try_jason_decode/1)\n        |> Map.update(\"identifier\", %{}, &try_jason_decode/1)\n\n      []\n      |> explanation_update_stop_name(diff)\n      |> explanation_stop_wheelchair_access(diff)\n      |> explanation_update_stop_position(diff)\n      |> explanation_route_color(diff)\n      |> explanation_route_text_color(diff)\n      |> explanation_route_short_name(diff)\n      |> explanation_route_long_name(diff)\n      |> explanation_route_type(diff)\n      |> explanation_stop_location_type(diff)\n      |> explanation_agency_url(diff)\n      |> explanation_agency_fare_url(diff)\n      |> explanation_agency_phone(diff)\n      |> explanation_trip_headsign(diff)\n    end)\n  end\n\n  defp explanation_update_stop_name(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"stops.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"stop_id\" => stop_id},\n           \"new_value\" => %{\"stop_name\" => new_stop_name},\n           \"initial_value\" => %{\"stop_name\" => initial_stop_name}\n         }\n       ) do\n    [\n      %{\n        file: \"stops.txt\",\n        type: \"stop_name\",\n        message: dgettext(\"gtfs-diff\", \"Stop %{stop_id} has been renamed\", stop_id: stop_id),\n        before: initial_stop_name,\n        after: new_stop_name,\n        sort_key: initial_stop_name\n      }\n      | explanations\n    ]\n  end\n\n  defp explanation_update_stop_name(explanations, _), do: explanations\n\n  defp explanation_stop_wheelchair_access(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"stops.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"stop_id\" => stop_id},\n           \"new_value\" => %{\"wheelchair_boarding\" => new_wheelchair_boarding},\n           \"initial_value\" => %{\"wheelchair_boarding\" => initial_wheelchair_boarding}\n         }\n       )\n       when new_wheelchair_boarding in [\"1\", \"2\"] do\n    [\n      %{\n        file: \"stops.txt\",\n        type: \"wheelchair_boarding\",\n        message: dgettext(\"gtfs-diff\", \"Wheelchair_boarding updated for stop %{stop_id}\", stop_id: stop_id),\n        before: initial_wheelchair_boarding,\n        after: new_wheelchair_boarding,\n        sort_key: stop_id\n      }\n      | explanations\n    ]\n  end\n\n  defp explanation_stop_wheelchair_access(explanations, _), do: explanations\n\n  defp explanation_update_stop_position(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"stops.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"stop_id\" => stop_id},\n           \"new_value\" => %{\"stop_lat\" => lat2, \"stop_lon\" => lon2},\n           \"initial_value\" => %{\"stop_lat\" => lat1, \"stop_lon\" => lon1}\n         }\n       ) do\n    {lat1, _} = parse_latitude_longitude(lat1)\n    {lon1, _} = parse_latitude_longitude(lon1)\n    {lat2, _} = parse_latitude_longitude(lat2)\n    {lon2, _} = parse_latitude_longitude(lon2)\n\n    distance = round(curvilinear_abscissa({lat1, lon1}, {lat2, lon2}))\n\n    if distance >= 2 do\n      [\n        %{\n          file: \"stops.txt\",\n          type: \"stop_position\",\n          message:\n            dgettext(\"gtfs-diff\", \"Stop %{stop_id} has been moved by %{distance}m\",\n              stop_id: stop_id,\n              distance: distance\n            ),\n          before: \"(#{lat1}, #{lon1})\",\n          after: \"(#{lat2}, #{lon2})\",\n          sort_key: -distance\n        }\n        | explanations\n      ]\n    else\n      explanations\n    end\n  end\n\n  defp explanation_update_stop_position(explanations, _), do: explanations\n\n  def explanation_route_color(\n        explanations,\n        %{\n          \"action\" => \"update\",\n          \"file\" => \"routes.txt\",\n          \"target\" => \"row\",\n          \"identifier\" => %{\"route_id\" => route_id},\n          \"new_value\" => %{\"route_color\" => new_route_color},\n          \"initial_value\" => %{\"route_color\" => initial_route_color}\n        }\n      ) do\n    if different_colors?(initial_route_color, new_route_color) do\n      [\n        %{\n          file: \"routes.txt\",\n          type: \"route_color\",\n          message: dgettext(\"gtfs-diff\", \"Color has been updated for route %{route_id}\", route_id: route_id),\n          before: \"##{initial_route_color}\",\n          after: \"##{new_route_color}\",\n          sort_key: route_id\n        }\n        | explanations\n      ]\n    else\n      explanations\n    end\n  end\n\n  def explanation_route_color(explanations, _), do: explanations\n\n  def explanation_route_text_color(\n        explanations,\n        %{\n          \"action\" => \"update\",\n          \"file\" => \"routes.txt\",\n          \"target\" => \"row\",\n          \"identifier\" => %{\"route_id\" => route_id},\n          \"new_value\" => %{\"route_text_color\" => new_route_text_color},\n          \"initial_value\" => %{\"route_text_color\" => initial_route_text_color}\n        }\n      ) do\n    if different_colors?(initial_route_text_color, new_route_text_color) do\n      [\n        %{\n          file: \"routes.txt\",\n          type: \"route_text_color\",\n          message: dgettext(\"gtfs-diff\", \"Text color has been updated for route %{route_id}\", route_id: route_id),\n          before: \"##{initial_route_text_color}\",\n          after: \"##{new_route_text_color}\",\n          sort_key: route_id\n        }\n        | explanations\n      ]\n    else\n      explanations\n    end\n  end\n\n  def explanation_route_text_color(explanations, _), do: explanations\n\n  defp different_colors?(initial_color, new_color), do: String.downcase(initial_color) != String.downcase(new_color)\n\n  defp explanation_route_short_name(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"routes.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"route_id\" => route_id},\n           \"new_value\" => %{\"route_short_name\" => new_route_short_name},\n           \"initial_value\" => %{\"route_short_name\" => initial_route_short_name}\n         }\n       ) do\n    [\n      %{\n        file: \"routes.txt\",\n        type: \"route_short_name\",\n        message: dgettext(\"gtfs-diff\", \"Route short name has been updated for route %{route_id}\", route_id: route_id),\n        before: initial_route_short_name,\n        after: new_route_short_name,\n        sort_key: route_id\n      }\n      | explanations\n    ]\n  end\n\n  defp explanation_route_short_name(explanations, _), do: explanations\n\n  defp explanation_route_long_name(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"routes.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"route_id\" => route_id},\n           \"new_value\" => %{\"route_long_name\" => new_route_long_name},\n           \"initial_value\" => %{\"route_long_name\" => initial_route_long_name}\n         }\n       ) do\n    [\n      %{\n        file: \"routes.txt\",\n        type: \"route_long_name\",\n        message: dgettext(\"gtfs-diff\", \"Route long name has been updated for route %{route_id}\", route_id: route_id),\n        before: initial_route_long_name,\n        after: new_route_long_name,\n        sort_key: route_id\n      }\n      | explanations\n    ]\n  end\n\n  defp explanation_route_long_name(explanations, _), do: explanations\n\n  defp explanation_route_type(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"routes.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"route_id\" => route_id},\n           \"new_value\" => %{\"route_type\" => new_route_type},\n           \"initial_value\" => %{\"route_type\" => initial_route_type}\n         }\n       ) do\n    [\n      %{\n        file: \"routes.txt\",\n        type: \"route_type\",\n        message: dgettext(\"gtfs-diff\", \"Route type has been updated for route %{route_id}\", route_id: route_id),\n        before: initial_route_type,\n        after: new_route_type,\n        sort_key: route_id\n      }\n      | explanations\n    ]\n  end\n\n  defp explanation_route_type(explanations, _), do: explanations\n\n  defp explanation_stop_location_type(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"stops.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"stop_id\" => stop_id},\n           \"new_value\" => %{\"location_type\" => new_location_type},\n           \"initial_value\" => %{\"location_type\" => initial_location_type}\n         }\n       ) do\n    [\n      %{\n        file: \"stops.txt\",\n        type: \"location_type\",\n        message: dgettext(\"gtfs-diff\", \"Location type for stop %{stop_id} has been changed\", stop_id: stop_id),\n        before: initial_location_type,\n        after: new_location_type,\n        sort_key: stop_id\n      }\n      | explanations\n    ]\n  end\n\n  defp explanation_stop_location_type(explanations, _), do: explanations\n\n  defp explanation_agency_url(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"agency.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"agency_id\" => agency_id},\n           \"new_value\" => %{\"agency_url\" => new_agency_url},\n           \"initial_value\" => %{\"agency_url\" => initial_agency_url}\n         }\n       ) do\n    [\n      %{\n        file: \"agency.txt\",\n        type: \"agency_url\",\n        message: dgettext(\"gtfs-diff\", \"Agency URL for agency %{agency_id} has been changed\", agency_id: agency_id),\n        before: initial_agency_url,\n        after: new_agency_url,\n        sort_key: agency_id\n      }\n      | explanations\n    ]\n  end\n\n  defp explanation_agency_url(explanations, _), do: explanations\n\n  defp explanation_agency_fare_url(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"agency.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"agency_id\" => agency_id},\n           \"new_value\" => %{\"agency_fare_url\" => new_agency_fare_url},\n           \"initial_value\" => %{\"agency_fare_url\" => initial_agency_fare_url}\n         }\n       ) do\n    [\n      %{\n        file: \"agency.txt\",\n        type: \"agency_fare_url\",\n        message:\n          dgettext(\"gtfs-diff\", \"Agency fare URL for agency %{agency_id} has been changed\", agency_id: agency_id),\n        before: initial_agency_fare_url,\n        after: new_agency_fare_url,\n        sort_key: agency_id\n      }\n      | explanations\n    ]\n  end\n\n  defp explanation_agency_fare_url(explanations, _), do: explanations\n\n  defp explanation_agency_phone(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"agency.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"agency_id\" => agency_id},\n           \"new_value\" => %{\"agency_phone\" => new_agency_phone},\n           \"initial_value\" => %{\"agency_phone\" => initial_agency_phone}\n         }\n       ) do\n    [\n      %{\n        file: \"agency.txt\",\n        type: \"agency_phone\",\n        message: dgettext(\"gtfs-diff\", \"Agency phone for agency %{agency_id} has been changed\", agency_id: agency_id),\n        before: initial_agency_phone,\n        after: new_agency_phone,\n        sort_key: agency_id\n      }\n      | explanations\n    ]\n  end\n\n  defp explanation_agency_phone(explanations, _), do: explanations\n\n  defp explanation_trip_headsign(\n         explanations,\n         %{\n           \"action\" => \"update\",\n           \"file\" => \"trips.txt\",\n           \"target\" => \"row\",\n           \"identifier\" => %{\"trip_id\" => trip_id},\n           \"new_value\" => %{\"trip_headsign\" => new_trip_headsign},\n           \"initial_value\" => %{\"trip_headsign\" => initial_trip_headsign}\n         }\n       ) do\n    [\n      %{\n        file: \"trips.txt\",\n        type: \"trip_headsign\",\n        message: dgettext(\"gtfs-diff\", \"Headsign for trip %{trip_id} has been changed\", trip_id: trip_id),\n        before: initial_trip_headsign,\n        after: new_trip_headsign,\n        sort_key: trip_id\n      }\n      | explanations\n    ]\n  end\n\n  defp explanation_trip_headsign(explanations, _), do: explanations\n\n  @doc \"\"\"\n    From https://geodesie.ign.fr/contenu/fichiers/Distance_longitude_latitude.pdf:\n\n    Si l’on considère deux points A et B sur la sphère, de\n    latitudes ϕA et ϕB et de longitudes λA et λB , alors la\n    distance angulaire en radians S A-B entre A et B est\n    donnée par la relation fondamentale de trigonométrie\n    sphérique, utilisant dλ = λB – λA :\n\n    S A-B = arccos (sin ϕA sin ϕB + cos ϕA cos ϕB cos dλ)\n\n    La distance S en mètres, s’obtient en multipliant S A-B\n    par un rayon de la Terre conventionnel (6 378 137 mètres par exemple).\n\n    iex> curvilinear_abscissa({46.605513, 0.275126}, {46.605348, 0.275881}) |> round()\n    61\n    iex> curvilinear_abscissa({47.6355, 6.1649}, {47.6355, 6.1649})\n    0.0\n    iex> curvilinear_abscissa({47.6355, 6.1687}, {47.6355, 6.1687})\n    0.0\n    iex> curvilinear_abscissa({47.6355, 6.143}, {47.6355, 6.143})\n    0.0\n    iex> curvilinear_abscissa({47.6333, 6.1015}, {47.6333, 6.1015})\n    0.0\n    iex> curvilinear_abscissa({47.6547, 6.1255}, {47.6547, 6.1255})\n    0.0\n    iex> curvilinear_abscissa({47.632, 6.1142}, {47.632, 6.1142})\n    0.0\n  \"\"\"\n  def curvilinear_abscissa({lat1, lon1}, {lat2, lon2}) do\n    # Semi-major axis of WGS 84\n    r = 6_378_137\n\n    lat1r = deg2rad(lat1)\n    lon1r = deg2rad(lon1)\n    lat2r = deg2rad(lat2)\n    lon2r = deg2rad(lon2)\n\n    dlon = lon2r - lon1r\n\n    # clamping is necessary unfortunately as they can be rounding errors\n    r *\n      :math.acos(\n        clamp(:math.sin(lat1r) * :math.sin(lat2r) + :math.cos(lat1r) * :math.cos(lat2r) * :math.cos(dlon), -1, 1)\n      )\n  end\n\n  defp clamp(number, minimum, maximum) do\n    number\n    |> max(minimum)\n    |> min(maximum)\n  end\n\n  defp deg2rad(deg), do: deg * :math.pi() / 180.0\n\n  def try_jason_decode(\"\"), do: nil\n  def try_jason_decode(input), do: Jason.decode!(input)\n\n  @doc \"\"\"\n  iex> parse_latitude_longitude(\"47.6355\")\n  {47.6355, \"\"}\n  iex> parse_latitude_longitude(\"   47.6355\")\n  {47.6355, \"\"}\n  iex> parse_latitude_longitude(\"47.6355   \")\n  {47.6355, \"\"}\n  \"\"\"\n  def parse_latitude_longitude(value) do\n    value\n    |> String.trim()\n    |> Float.parse()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_explain/structural_changes.ex",
    "content": "defmodule TransportWeb.GTFSDiffExplain.StructuralChanges do\n  @moduledoc \"\"\"\n  Functions to interpret structural changes of GTFS Diff files.\n  \"\"\"\n\n  @doc \"\"\"\n  Analyses structural changes of diff, focusing on column changes and if the file has been created or deleted.\n\n  It ignores the row changes.\n  \"\"\"\n  def structural_changes(diffs) do\n    Enum.reduce(diffs, %{}, fn action, acc ->\n      if Map.get(action, \"target\") == \"row\" do\n        acc\n      else\n        new_diff = structural_change(action)\n\n        Map.update(acc, Map.get(action, \"file\"), [new_diff], &merge_diffs(new_diff, &1))\n      end\n    end)\n  end\n\n  defp structural_change(%{\"target\" => \"file\", \"action\" => action}) do\n    case action do\n      \"add\" -> :added_file\n      \"delete\" -> :deleted_file\n    end\n  end\n\n  defp structural_change(%{\"target\" => \"column\", \"action\" => action, \"identifier\" => identifier}) do\n    %{\"column\" => column} = Jason.decode!(identifier)\n\n    case action do\n      \"add\" -> {:added_columns, [column]}\n      \"delete\" -> {:deleted_columns, [column]}\n    end\n  end\n\n  defp merge_diffs({column_action, _} = new_diff, diffs) do\n    existing_action =\n      Enum.find(diffs, fn elem ->\n        case elem do\n          {^column_action, _} -> true\n          _ -> false\n        end\n      end)\n\n    if existing_action do\n      Enum.map(diffs, &merge_existing_actions(new_diff, &1))\n    else\n      [new_diff | diffs]\n    end\n  end\n\n  defp merge_diffs(new_diff, diffs) do\n    [new_diff | diffs]\n  end\n\n  defp merge_existing_actions({column_action, columns1}, elem) do\n    case elem do\n      {^column_action, columns2} -> {column_action, Enum.sort(columns1 ++ columns2)}\n      _ -> elem\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_explain/summary.ex",
    "content": "defmodule TransportWeb.GTFSDiffExplain.Summary do\n  @moduledoc \"\"\"\n  Function to summarize GTFS Diff files\n  \"\"\"\n\n  @doc \"\"\"\n  Creates a summary of a given GTFS Diff\n\n  iex> [\n  ...> %{\n  ...>   \"action\" => \"delete\",\n  ...>   \"file\" => \"agency.txt\",\n  ...>   \"target\" => \"file\"\n  ...> },\n  ...> %{\n  ...>   \"action\" => \"delete\",\n  ...>   \"file\" => \"calendar.txt\",\n  ...>   \"target\" => \"column\"\n  ...> },\n  ...> %{\n  ...>   \"action\" => \"add\",\n  ...>   \"file\" => \"stop_times.txt\",\n  ...>   \"target\" => \"row\"\n  ...> }] |> diff_summary()\n  %{\n    \"add\" => [{{\"stop_times.txt\", \"add\", \"row\"}, 1}],\n    \"delete\" => [\n      {{\"agency.txt\", \"delete\", \"file\"}, 1},\n      {{\"calendar.txt\", \"delete\", \"column\"}, 1},\n    ]\n  }\n  \"\"\"\n  def diff_summary(diff) do\n    order = %{\"file\" => 0, \"column\" => 1, \"row\" => 2}\n\n    diff\n    |> Enum.frequencies_by(fn r ->\n      {Map.get(r, \"file\"), Map.get(r, \"action\"), Map.get(r, \"target\")}\n    end)\n    |> Enum.sort_by(fn {{_, _, target}, _} -> order |> Map.fetch!(target) end)\n    |> Enum.group_by(fn {{_file, action, _target}, _n} -> action end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_explain.ex",
    "content": "defmodule TransportWeb.GTFSDiffExplain do\n  @moduledoc \"\"\"\n  Functions to explain and interpret GTFS Diff files\n  \"\"\"\n\n  defdelegate diff_explanations(diffs), to: TransportWeb.GTFSDiffExplain.Explanations\n\n  defdelegate diff_summary(diffs), to: TransportWeb.GTFSDiffExplain.Summary\n\n  defdelegate structural_changes(diffs), to: TransportWeb.GTFSDiffExplain.StructuralChanges\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_select_live/analysis.ex",
    "content": "defmodule TransportWeb.Live.GTFSDiffSelectLive.Analysis do\n  @moduledoc \"\"\"\n  Analysis step of the GTFS diff tool.\n  \"\"\"\n  use Phoenix.Component\n  use TransportWeb.InputHelpers\n  use Gettext, backend: TransportWeb.Gettext\n\n  def analysis_step(%{diff_logs: _, error_msg: _} = assigns) do\n    ~H\"\"\"\n    <div class=\"container\">\n      <div class=\"panel\">\n        <h4>{dgettext(\"gtfs-diff\", \"Processing\")}</h4>\n        <div :for={log <- @diff_logs}>\n          {raw(log)}…\n        </div>\n      </div>\n\n      <div :if={@error_msg}>\n        <span class=\"red\">{@error_msg}</span>\n      </div>\n\n      <.action_bar :if={@error_msg} />\n    </div>\n    \"\"\"\n  end\n\n  defp action_bar(%{} = assigns) do\n    ~H\"\"\"\n    <div class=\"actions\">\n      <button class=\"button-outline primary\" type=\"button\" phx-click=\"start-over\">\n        <i class=\"fa fa-rotate-left\"></i>&nbsp;{dgettext(\"gtfs-diff\", \"Start over\")}\n      </button>\n    </div>\n    \"\"\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_select_live/differences.ex",
    "content": "defmodule TransportWeb.Live.GTFSDiffSelectLive.Differences do\n  @moduledoc \"\"\"\n  Differences of the selected file.\n  \"\"\"\n  use Phoenix.Component\n  use Gettext, backend: TransportWeb.Gettext\n  import TransportWeb.Live.GTFSDiffSelectLive.GTFSSpecification\n  import TransportWeb.MarkdownHandler, only: [markdown_to_safe_html!: 1]\n\n  def differences(\n        %{diff_summary: _, selected_file: _, diff_explanations: _, profile: _, structural_changes: _} = assigns\n      ) do\n    ~H\"\"\"\n    <div class=\"main\">\n      <.file_description selected_file={@selected_file} />\n      <.structural_differences\n        :if={Map.get(@structural_changes, @selected_file)}\n        selected_file={@selected_file}\n        structural_changes={Map.get(@structural_changes, @selected_file)}\n      />\n      <.diff_summaries_for_file diff_summary={@diff_summary} selected_file={@selected_file} profile={@profile} />\n      <%= if assigns[:diff_explanations] do %>\n        <% active_explanations =\n          @diff_explanations\n          |> Enum.filter(fn %{file: file} -> file == @selected_file end)\n          |> Enum.group_by(fn %{type: type} -> type end)\n          |> Map.to_list()\n          |> Enum.filter(fn {_, explanations} -> not Enum.empty?(explanations) end) %>\n        <%= if not Enum.empty?(active_explanations) do %>\n          <h5>{dgettext(\"gtfs-diff\", \"Notable changes:\")}</h5>\n          <.detailed_explanations\n            :for={{explanation_type, explanations} <- active_explanations}\n            file={@selected_file}\n            explanations={explanations}\n            explanation_type={explanation_type}\n          />\n        <% end %>\n      <% end %>\n    </div>\n    \"\"\"\n  end\n\n  defp structural_differences(%{structural_changes: structural_changes, selected_file: _} = assigns) do\n    assigns =\n      assigns\n      |> assign(file_differences: Enum.filter(structural_changes, &file_difference?/1))\n      |> assign(column_differences: Enum.filter(structural_changes, &column_difference?/1))\n\n    ~H\"\"\"\n    <.file_differences\n      selected_file={@selected_file}\n      file_differences={@file_differences}\n      column_differences={@column_differences}\n      file_criteria={:added_file}\n      column_criteria={:added_columns}\n    />\n    <.file_differences\n      selected_file={@selected_file}\n      file_differences={@file_differences}\n      column_differences={@column_differences}\n      file_criteria={:deleted_file}\n      column_criteria={:deleted_columns}\n    />\n    <.columns_differences\n      selected_file={@selected_file}\n      file_differences={@file_differences}\n      column_differences={@column_differences}\n      criteria={:added_columns}\n    />\n    <.columns_differences\n      selected_file={@selected_file}\n      file_differences={@file_differences}\n      column_differences={@column_differences}\n      criteria={:deleted_columns}\n    />\n    \"\"\"\n  end\n\n  defp file_difference?(:added_file), do: true\n  defp file_difference?(:deleted_file), do: true\n  defp file_difference?(_), do: false\n\n  defp file_differences(\n         %{file_differences: _, column_differences: _, selected_file: _, file_criteria: _, column_criteria: _} = assigns\n       ) do\n    ~H\"\"\"\n    <p :if={@file_differences == [@file_criteria]}>\n      <i class={pick_symbol(@file_criteria)}></i>\n      {pick_file_message(@file_criteria, count_column_differences(@column_differences, @column_criteria))}\n    </p>\n    <.columns_list\n      :if={@file_differences == [@file_criteria]}\n      selected_file={@selected_file}\n      column_differences={Keyword.get(@column_differences, @column_criteria, [])}\n    />\n    \"\"\"\n  end\n\n  defp pick_file_message(:added_file, 0), do: dgettext(\"gtfs-diff\", \"file added\")\n\n  defp pick_file_message(:added_file, count),\n    do:\n      dngettext(\n        \"gtfs-diff\",\n        \"file added with %{count} new column:\",\n        \"file added with %{count} new columns:\",\n        count\n      )\n\n  defp pick_file_message(:deleted_file, 0), do: dgettext(\"gtfs-diff\", \"file deleted\")\n\n  defp pick_file_message(:deleted_file, count),\n    do:\n      dngettext(\n        \"gtfs-diff\",\n        \"file deleted along with %{count} column:\",\n        \"file deleted along with %{count} columns:\",\n        count\n      )\n\n  defp column_difference?({:added_columns, _}), do: true\n  defp column_difference?({:deleted_columns, _}), do: true\n  defp column_difference?(_), do: false\n\n  defp columns_differences(%{file_differences: _, column_differences: _, criteria: _, selected_file: _} = assigns) do\n    assigns =\n      assigns\n      |> assign(relevant_column_differences: Keyword.get(assigns[:column_differences], assigns[:criteria], []))\n\n    ~H\"\"\"\n    <p :if={@file_differences == [] && @relevant_column_differences != []}>\n      <i class={pick_symbol(@criteria)}></i>\n      {pick_column_message(@criteria, Enum.count(@relevant_column_differences))}\n    </p>\n    <.columns_list\n      :if={@file_differences == [] && @relevant_column_differences != []}\n      selected_file={@selected_file}\n      column_differences={@relevant_column_differences}\n    />\n    \"\"\"\n  end\n\n  defp columns_list(%{column_differences: _, selected_file: _} = assigns) do\n    ~H\"\"\"\n    <ul>\n      <li :for={column <- @column_differences}>\n        <code>{column}</code>\n        <span :if={not standard_column?(@selected_file, column)}>\n          <i class=\"symbol fa fa-warning orange\"></i> {dgettext(\"gtfs-diff\", \"non standard column\")}\n        </span>\n      </li>\n    </ul>\n    \"\"\"\n  end\n\n  defp count_column_differences(column_differences, criteria) do\n    column_differences |> Keyword.get(criteria, []) |> Enum.count()\n  end\n\n  defp pick_column_message(:added_columns, count),\n    do: dngettext(\"gtfs-diff\", \"Added %{count} column:\", \"Added %{count} columns:\", count)\n\n  defp pick_column_message(:deleted_columns, count),\n    do: dngettext(\"gtfs-diff\", \"Deleted %{count} column:\", \"Deleted %{count} columns:\", count)\n\n  defp pick_symbol(:added_columns), do: \"symbol fa fa-square-plus green\"\n  defp pick_symbol(:added_file), do: \"symbol fa fa-square-plus green\"\n  defp pick_symbol(:deleted_columns), do: \"symbol fa fa-square-minus red\"\n  defp pick_symbol(:deleted_file), do: \"symbol fa fa-square-minus red\"\n\n  defp diff_summaries_for_file(%{selected_file: _, diff_summary: _, profile: _} = assigns) do\n    cond do\n      assigns[:selected_file] not in Transport.GTFSDiff.files_to_analyze(assigns[:profile]) ->\n        ~H\"\"\"\n        <p>{dgettext(\"gtfs-diff\", \"Row changes:\")}</p>\n        <.partial_difference_warning />\n        \"\"\"\n\n      row_changes?(assigns[:diff_summary], assigns[:selected_file]) ->\n        ~H\"\"\"\n        <p>{dgettext(\"gtfs-diff\", \"Row changes:\")}</p>\n        <ul>\n          <.diff_summary_for_file\n            :for={{nature, translation, css_class} <- diff_natures()}\n            summary={@diff_summary[nature]}\n            translation={translation}\n            selected_file={@selected_file}\n            class={css_class}\n          />\n        </ul>\n        \"\"\"\n\n      true ->\n        ~H\"\"\"\n        <p>{dgettext(\"gtfs-diff\", \"No row changes.\")}</p>\n        \"\"\"\n    end\n  end\n\n  defp row_changes?(diff_summary, selected_file) do\n    total_changes =\n      diff_summary\n      |> Map.values()\n      |> Enum.concat()\n      |> Enum.filter(fn {{file, _, target}, _} -> file == selected_file && target == \"row\" end)\n      |> Enum.map(fn {_, c} -> c end)\n      |> Enum.sum()\n\n    total_changes > 0\n  end\n\n  defp diff_summary_for_file(%{summary: _, selected_file: _, translation: _, class: _} = assigns) do\n    ~H\"\"\"\n    <%= for {{file, _nature, target}, n} <- @summary || [] do %>\n      <li :if={file == @selected_file && target == \"row\"}>\n        <span class={@class}><%= @translation %></span>&nbsp;{translate_target(target, n)}\n      </li>\n    <% end %>\n    \"\"\"\n  end\n\n  defp partial_difference_warning(%{} = assigns) do\n    ~H\"\"\"\n    <div class=\"notification warning\">\n      {dgettext(\n        \"gtfs-diff\",\n        \"Row changes have not been analyzed for this file. We suggest you dive into both GTFS files for more details.\"\n      )}\n    </div>\n    \"\"\"\n  end\n\n  defp diff_natures do\n    [\n      {\"add\", dgettext(\"gtfs-diff\", \"added\"), \"green\"},\n      {\"update\", dgettext(\"gtfs-diff\", \"updated\"), \"orange\"},\n      {\"delete\", dgettext(\"gtfs-diff\", \"deleted\"), \"red\"}\n    ]\n  end\n\n  defp detailed_explanations(%{file: _, explanations: _, explanation_type: _} = assigns) do\n    ~H\"\"\"\n    <h6>{translate_explanation_type(@file, @explanation_type)} ({length(@explanations)})</h6>\n    <p :if={translate_explanation_details(@file, @explanation_type)}>\n      {translate_explanation_details(@file, @explanation_type) |> Enum.intersperse(\"\\n\\n\") |> markdown_to_safe_html!()}\n    </p>\n    <div class=\"scrollable-table\">\n      <table class=\"table\">\n        <thead>\n          <tr>\n            <th>{dgettext(\"gtfs-diff\", \"Comment\")}</th>\n            <th>{dgettext(\"gtfs-diff\", \"Original\")}</th>\n            <th>{dgettext(\"gtfs-diff\", \"Modified\")}</th>\n          </tr>\n        </thead>\n        <tbody>\n          <tr :for={\n            %{message: message, type: type_, before: before, after: after_} <-\n              Enum.sort_by(@explanations, fn %{sort_key: sort_key} -> sort_key end)\n          }>\n            <td>{message}</td>\n            <td><.attribute_value type={attribute_type(@file, type_)} value={String.trim(before)} /></td>\n            <td><.attribute_value type={attribute_type(@file, type_)} value={String.trim(after_)} /></td>\n          </tr>\n        </tbody>\n      </table>\n    </div>\n    \"\"\"\n  end\n\n  defp attribute_type(\"routes.txt\", \"route_color\"), do: :color\n  defp attribute_type(\"routes.txt\", \"route_text_color\"), do: :color\n  defp attribute_type(\"routes.txt\", \"route_type\"), do: :route_type\n  defp attribute_type(\"stops.txt\", \"location_type\"), do: :stop_location_type\n  defp attribute_type(_, _), do: :text\n\n  defp attribute_value(%{type: :color, value: \"#\"} = assigns) do\n    ~H\"\"\"\n    <em>{dgettext(\"gtfs-diff\", \"no color\")}</em>\n    \"\"\"\n  end\n\n  defp attribute_value(%{type: :color, value: _} = assigns) do\n    ~H\"\"\"\n    <div class=\"color-picker\">\n      <svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\">\n        <rect x=\"0\" y=\"0\" width=\"16\" height=\"16\" stroke=\"black\" stroke-width=\"2\" fill={@value} />\n      </svg>\n      {@value}\n    </div>\n    \"\"\"\n  end\n\n  defp attribute_value(%{type: :route_type, value: _} = assigns) do\n    ~H\"\"\"\n    {@value} ({route_type_short_description(@value)})\n    \"\"\"\n  end\n\n  defp attribute_value(%{type: :stop_location_type, value: _} = assigns) do\n    ~H\"\"\"\n    {@value} ({stop_location_type_short_description(@value)})\n    \"\"\"\n  end\n\n  defp attribute_value(%{type: _, value: \"\"} = assigns) do\n    ~H\"\"\"\n    <em>{dgettext(\"gtfs-diff\", \"no value\")}</em>\n    \"\"\"\n  end\n\n  defp attribute_value(%{type: _, value: _} = assigns) do\n    ~H\"\"\"\n    {@value}\n    \"\"\"\n  end\n\n  defp translate_explanation_type(\"stops.txt\", \"stop_name\"), do: dgettext(\"gtfs-diff\", \"Stops' names\")\n  defp translate_explanation_type(\"stops.txt\", \"stop_position\"), do: dgettext(\"gtfs-diff\", \"Stops' positions\")\n  defp translate_explanation_type(\"stops.txt\", \"wheelchair_boarding\"), do: dgettext(\"gtfs-diff\", \"Weelchair boarding\")\n  defp translate_explanation_type(\"stops.txt\", \"location_type\"), do: dgettext(\"gtfs-diff\", \"Location type\")\n  defp translate_explanation_type(\"routes.txt\", \"route_color\"), do: dgettext(\"gtfs-diff\", \"Route color\")\n  defp translate_explanation_type(\"routes.txt\", \"route_text_color\"), do: dgettext(\"gtfs-diff\", \"Route text color\")\n  defp translate_explanation_type(\"routes.txt\", \"route_short_name\"), do: dgettext(\"gtfs-diff\", \"Route short name\")\n  defp translate_explanation_type(\"routes.txt\", \"route_long_name\"), do: dgettext(\"gtfs-diff\", \"Route long name\")\n  defp translate_explanation_type(\"routes.txt\", \"route_type\"), do: dgettext(\"gtfs-diff\", \"Route type\")\n  defp translate_explanation_type(\"agency.txt\", \"agency_url\"), do: dgettext(\"gtfs-diff\", \"Agency URL\")\n  defp translate_explanation_type(\"trips.txt\", \"trip_headsign\"), do: dgettext(\"gtfs-diff\", \"Trip headsign\")\n  defp translate_explanation_type(_, unknown), do: dgettext(\"gtfs-diff\", \"Other change: %{unknown}\", unknown: unknown)\n\n  defp translate_explanation_details(\"stops.txt\", \"stop_name\"),\n    do: [\n      compared_attributes([\"stop_name\"]),\n      dgettext(\n        \"gtfs-diff\",\n        \"Name of the location. The `stop_name` should match the agency's rider-facing name for the location as printed on a timetable, published online, or represented on signage. For translations into other languages, use `translations.txt`.\"\n      )\n    ]\n\n  defp translate_explanation_details(\"stops.txt\", \"stop_position\"),\n    do: [\n      compared_attributes([\"stop_lat\", \"stop_lon\"]),\n      dgettext(\n        \"gtfs-diff\",\n        \"Computes the distance between locations. Results are sorted by distance. Moves shorter than 1 m are filtered out.\"\n      )\n    ]\n\n  defp translate_explanation_details(\"stops.txt\", \"wheelchair_boarding\"),\n    do: [\n      compared_attributes([\"wheelchair_boarding\"]),\n      dgettext(\"gtfs-diff\", \"Indicates whether wheelchair boardings are possible from the location.\")\n    ]\n\n  defp translate_explanation_details(\"stops.txt\", \"location_type\"),\n    do: [\n      compared_attributes([\"location_type\"])\n    ]\n\n  defp translate_explanation_details(\"routes.txt\", \"route_color\"),\n    do: [\n      compared_attributes([\"route_color\"]),\n      dgettext(\n        \"gtfs-diff\",\n        \"Route color designation that matches public facing material. Defaults to white (FFFFFF) when omitted or left empty. The color difference between `route_color` and `route_text_color` should provide sufficient contrast when viewed on a black and white screen.\"\n      )\n    ]\n\n  defp translate_explanation_details(\"routes.txt\", \"route_text_color\"),\n    do: [\n      compared_attributes([\"route_text_color\"]),\n      dgettext(\n        \"gtfs-diff\",\n        \"Legible color to use for text drawn against a background of `route_color`. Defaults to black (000000) when omitted or left empty.\"\n      )\n    ]\n\n  defp translate_explanation_details(\"routes.txt\", \"route_short_name\"),\n    do: [\n      compared_attributes([\"route_short_name\"]),\n      dgettext(\n        \"gtfs-diff\",\n        \"Short name of a route. Often a short, abstract identifier (e.g., \\\"32\\\", \\\"100X\\\", \\\"Green\\\") that riders use to identify a route.\"\n      )\n    ]\n\n  defp translate_explanation_details(\"routes.txt\", \"route_long_name\"),\n    do: [\n      compared_attributes([\"route_long_name\"]),\n      dgettext(\n        \"gtfs-diff\",\n        \"Full name of a route. This name is generally more descriptive than the `route_short_name` and often includes the route's destination or stop.\"\n      )\n    ]\n\n  defp translate_explanation_details(\"routes.txt\", \"route_type\"),\n    do: [\n      compared_attributes([\"route_type\"]),\n      dgettext(\"gtfs-diff\", \"Indicates the type of transportation used on a route.\")\n    ]\n\n  defp translate_explanation_details(\"agency.txt\", \"agency_url\"),\n    do: [\n      compared_attributes([\"agency_url\"]),\n      dgettext(\"gtfs-diff\", \"URL of the transit agency.\")\n    ]\n\n  defp translate_explanation_details(\"trips.txt\", \"trip_headsign\"),\n    do: [\n      compared_attributes([\"trip_headsign\"]),\n      dgettext(\n        \"gtfs-diff\",\n        \"Text that appears on signage identifying the trip's destination to riders. This field is recommended for all services with headsign text displayed on the vehicle which may be used to distinguish amongst trips in a route.\"\n      )\n    ]\n\n  defp translate_explanation_details(_, _), do: nil\n\n  defp compared_attributes(attributes) do\n    introduction = dngettext(\"gtfs-diff\", \"Compare the value of \", \"Compare the values of \", length(attributes))\n    attributes = attributes |> Enum.map_intersperse(\", \", fn attribute -> \"`#{attribute}`\" end)\n    \"#{introduction} #{attributes}.\"\n  end\n\n  @doc \"\"\"\n  iex> Gettext.put_locale(\"en\")\n  iex> translate_target(\"file\", 1)\n  \"1 file\"\n  iex> translate_target(\"file\", 3)\n  \"3 files\"\n  iex> translate_target(\"row\", 1)\n  \"1 row\"\n  iex> translate_target(\"row\", 3)\n  \"3 rows\"\n  iex> Gettext.put_locale(\"fr\")\n  iex> translate_target(\"file\", 1)\n  \"1 fichier\"\n  iex> translate_target(\"file\", 3)\n  \"3 fichiers\"\n  iex> translate_target(\"row\", 1)\n  \"1 ligne\"\n  iex> translate_target(\"row\", 3)\n  \"3 lignes\"\n  \"\"\"\n  def translate_target(target, n) do\n    case target do\n      \"file\" -> dngettext(\"gtfs-diff\", \"%{count} file\", \"%{count} files\", n)\n      \"row\" -> dngettext(\"gtfs-diff\", \"%{count} row\", \"%{count} rows\", n)\n      \"column\" -> dngettext(\"gtfs-diff\", \"%{count} column\", \"%{count} columns\", n)\n      _ -> \"#{n} #{target}#{if n > 1, do: \"s\"}\"\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_select_live/gtfs_specification.ex",
    "content": "defmodule TransportWeb.Live.GTFSDiffSelectLive.GTFSSpecification do\n  @moduledoc \"\"\"\n  Component and helpers to display GTFS files.\n  \"\"\"\n  use Phoenix.LiveView\n  use Gettext, backend: TransportWeb.Gettext\n\n  @standard_columns %{\n    \"agency.txt\" => [\n      \"agency_id\",\n      \"agency_name\",\n      \"agency_url\",\n      \"agency_timezone\",\n      \"agency_lang\",\n      \"agency_phone\",\n      \"agency_fare_url\",\n      \"agency_email\"\n    ],\n    \"stops.txt\" => [\n      \"stop_id\",\n      \"stop_code\",\n      \"stop_name\",\n      \"tts_stop_name\",\n      \"stop_desc\",\n      \"stop_lat\",\n      \"stop_lon\",\n      \"zone_id\",\n      \"stop_url\",\n      \"location_type\",\n      \"parent_station\",\n      \"stop_timezone\",\n      \"wheelchair_boarding\",\n      \"level_id\",\n      \"platform_code\"\n    ],\n    \"routes.txt\" => [\n      \"route_id\",\n      \"agency_id\",\n      \"route_short_name\",\n      \"route_long_name\",\n      \"route_desc\",\n      \"route_type\",\n      \"route_url\",\n      \"route_color\",\n      \"route_text_color\",\n      \"route_sort_order\",\n      \"continuous_pickup\",\n      \"continuous_drop_off\",\n      \"network_id\"\n    ],\n    \"trips.txt\" => [\n      \"route_id\",\n      \"service_id\",\n      \"trip_id\",\n      \"trip_headsign\",\n      \"trip_short_name\",\n      \"direction_id\",\n      \"block_id\",\n      \"shape_id\",\n      \"wheelchair_accessible\",\n      \"bikes_allowed\"\n    ],\n    \"stop_times.txt\" => [\n      \"trip_id\",\n      \"arrival_time\",\n      \"departure_time\",\n      \"stop_id\",\n      \"location_group_id\",\n      \"location_id\",\n      \"stop_sequence\",\n      \"stop_headsign\",\n      \"start_pickup_drop_off_window\",\n      \"end_pickup_drop_off_window\",\n      \"pickup_type\",\n      \"drop_off_type\",\n      \"continuous_pickup\",\n      \"continuous_drop_off\",\n      \"shape_dist_traveled\",\n      \"timepoint\",\n      \"pickup_booking_rule_id\",\n      \"drop_off_booking_rule_id\"\n    ],\n    \"calendar.txt\" => [\n      \"service_id\",\n      \"monday\",\n      \"tuesday\",\n      \"wednesday\",\n      \"thursday\",\n      \"friday\",\n      \"saturday\",\n      \"sunday\",\n      \"start_date\",\n      \"end_date\"\n    ],\n    \"calendar_dates.txt\" => [\"service_id\", \"date\", \"exception_type\"],\n    \"fare_attributes.txt\" => [\n      \"fare_id\",\n      \"price\",\n      \"currency_type\",\n      \"payment_method\",\n      \"transfers\",\n      \"agency_id\",\n      \"transfer_duration\"\n    ],\n    \"fare_rules.txt\" => [\"fare_id\", \"route_id\", \"origin_id\", \"destination_id\", \"contains_id\"],\n    \"timeframes.txt\" => [\"timeframe_group_id\", \"start_time\", \"end_time\", \"service_id\"],\n    \"rider_categories.txt\" => [\n      \"rider_category_id\",\n      \"rider_category_name\",\n      \"is_default_fare_category\",\n      \"eligibility_url\"\n    ],\n    \"fare_media.txt\" => [\"fare_media_id\", \"fare_media_name\", \"fare_media_type\"],\n    \"fare_products.txt\" => [\n      \"fare_product_id\",\n      \"fare_product_name\",\n      \"rider_category_id\",\n      \"fare_media_id\",\n      \"amount\",\n      \"currency\"\n    ],\n    \"fare_leg_rules.txt\" => [\n      \"leg_group_id\",\n      \"network_id\",\n      \"from_area_id\",\n      \"to_area_id\",\n      \"from_timeframe_group_id\",\n      \"to_timeframe_group_id\",\n      \"fare_product_id\",\n      \"rule_priority\"\n    ],\n    \"fare_leg_join_rules.txt\" => [\"from_network_id\", \"to_network_id\", \"from_stop_id\", \"to_stop_id\"],\n    \"fare_transfer_rules.txt\" => [\n      \"from_leg_group_id\",\n      \"to_leg_group_id\",\n      \"transfer_count\",\n      \"duration_limit\",\n      \"duration_limit_type\",\n      \"fare_transfer_type\",\n      \"fare_product_id\"\n    ],\n    \"areas.txt\" => [\"area_id\", \"area_name\"],\n    \"stop_areas.txt\" => [\"area_id\", \"stop_id\"],\n    \"networks.txt\" => [\"network_id\", \"network_name\"],\n    \"route_networks.txt\" => [\"network_id\", \"route_id\"],\n    \"shapes.txt\" => [\"shape_id\", \"shape_pt_lat\", \"shape_pt_lon\", \"shape_pt_sequence\", \"shape_dist_traveled\"],\n    \"frequencies.txt\" => [\"trip_id\", \"start_time\", \"end_time\", \"headway_secs\", \"exact_times\"],\n    \"transfers.txt\" => [\n      \"from_stop_id\",\n      \"to_stop_id\",\n      \"from_route_id\",\n      \"to_route_id\",\n      \"from_trip_id\",\n      \"to_trip_id\",\n      \"transfer_type\",\n      \"min_transfer_time\"\n    ],\n    \"pathways.txt\" => [\n      \"pathway_id\",\n      \"from_stop_id\",\n      \"to_stop_id\",\n      \"pathway_mode\",\n      \"is_bidirectional\",\n      \"length\",\n      \"traversal_time\",\n      \"stair_count\",\n      \"max_slope\",\n      \"min_width\",\n      \"signposted_as\",\n      \"reversed_signposted_as\"\n    ],\n    \"levels.txt\" => [\"level_id\", \"level_index\", \"level_name\"],\n    \"location_groups.txt\" => [\"location_group_id\", \"location_group_name\"],\n    \"location_group_stops.txt\" => [\"location_group_id\", \"stop_id\"],\n    \"booking_rules.txt\" => [\n      \"booking_rule_id\",\n      \"booking_type\",\n      \"prior_notice_duration_min\",\n      \"prior_notice_duration_max\",\n      \"prior_notice_last_day\",\n      \"prior_notice_last_time\",\n      \"prior_notice_start_day\",\n      \"prior_notice_start_time\",\n      \"prior_notice_service_id\",\n      \"message\",\n      \"pickup_message\",\n      \"drop_off_message\",\n      \"phone_number\",\n      \"info_url\",\n      \"booking_url\"\n    ],\n    \"translations.txt\" => [\n      \"table_name\",\n      \"field_name\",\n      \"language\",\n      \"translation\",\n      \"record_id\",\n      \"record_sub_id\",\n      \"field_value\"\n    ],\n    \"feed_info.txt\" => [\n      \"feed_publisher_name\",\n      \"feed_publisher_url\",\n      \"feed_lang\",\n      \"default_lang\",\n      \"feed_start_date\",\n      \"feed_end_date\",\n      \"feed_version\",\n      \"feed_contact_email\",\n      \"feed_contact_url\"\n    ],\n    \"attributions.txt\" => [\n      \"attribution_id\",\n      \"agency_id\",\n      \"route_id\",\n      \"trip_id\",\n      \"organization_name\",\n      \"is_producer\",\n      \"is_operator\",\n      \"is_authority\",\n      \"attribution_url\",\n      \"attribution_email\",\n      \"attribution_phone\"\n    ]\n  }\n\n  def standard_column?(file, column), do: column in Map.get(@standard_columns, file, [])\n\n  def file_description(%{selected_file: _} = assigns) do\n    ~H\"\"\"\n    <h4><i class=\"symbol fa fa-file\"></i> {@selected_file}</h4>\n    <p>\n      « <em>{description_text(@selected_file)}</em>\n      »\n      <a target=\"_blank\" href={specification_url(@selected_file)}>\n        {dgettext(\"gtfs-file-descriptions\", \"Know more about this file.\")}\n      </a>\n    </p>\n    \"\"\"\n  end\n\n  defp description_text(\"agency.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"agency.txt\")\n  defp description_text(\"areas.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"areas.txt\")\n  defp description_text(\"attributions.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"attributions.txt\")\n  defp description_text(\"booking_rules.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"booking_rules.txt\")\n  defp description_text(\"calendar.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"calendar.txt\")\n  defp description_text(\"calendar_dates.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"calendar_dates.txt\")\n  defp description_text(\"fare_attributes.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"fare_attributes.txt\")\n  defp description_text(\"fare_leg_join_rules.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"fare_leg_join_rules.txt\")\n  defp description_text(\"fare_leg_rules.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"fare_leg_rules.txt\")\n  defp description_text(\"fare_media.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"fare_media.txt\")\n  defp description_text(\"fare_products.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"fare_products.txt\")\n  defp description_text(\"fare_rules.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"fare_rules.txt\")\n  defp description_text(\"fare_transfer_rules.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"fare_transfer_rules.txt\")\n  defp description_text(\"feed_info.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"feed_info.txt\")\n  defp description_text(\"frequencies.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"frequencies.txt\")\n  defp description_text(\"levels.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"levels.txt\")\n  defp description_text(\"location_group_stops.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"location_group_stops.txt\")\n  defp description_text(\"location_groups.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"location_groups.txt\")\n  defp description_text(\"networks.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"networks.txt\")\n  defp description_text(\"pathways.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"pathways.txt\")\n  defp description_text(\"rider_categories.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"rider_categories.txt\")\n  defp description_text(\"route_networks.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"route_networks.txt\")\n  defp description_text(\"routes.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"routes.txt\")\n  defp description_text(\"shapes.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"shapes.txt\")\n  defp description_text(\"stop_areas.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"stop_areas.txt\")\n  defp description_text(\"stop_times.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"stop_times.txt\")\n  defp description_text(\"stops.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"stops.txt\")\n  defp description_text(\"timeframes.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"timeframes.txt\")\n  defp description_text(\"transfers.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"transfers.txt\")\n  defp description_text(\"translations.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"translations.txt\")\n  defp description_text(\"trips.txt\"), do: dgettext(\"gtfs-file-descriptions\", \"trips.txt\")\n\n  defp description_text(selected_file),\n    do: dgettext(\"gtfs-file-descriptions\", \"unknown-file\", unknown_file: selected_file)\n\n  defp specification_url(file) do\n    \"https://gtfs.org/documentation/schedule/reference/##{String.replace(file, \".\", \"\")}\"\n  end\n\n  def route_type_short_description(\"0\"), do: dgettext(\"gtfs-file-descriptions\", \"tram, streetcar, light rail\")\n  def route_type_short_description(\"1\"), do: dgettext(\"gtfs-file-descriptions\", \"subway, metro\")\n  def route_type_short_description(\"2\"), do: dgettext(\"gtfs-file-descriptions\", \"rail\")\n  def route_type_short_description(\"3\"), do: dgettext(\"gtfs-file-descriptions\", \"bus\")\n  def route_type_short_description(\"4\"), do: dgettext(\"gtfs-file-descriptions\", \"ferry\")\n  def route_type_short_description(\"5\"), do: dgettext(\"gtfs-file-descriptions\", \"cable tram\")\n  def route_type_short_description(\"6\"), do: dgettext(\"gtfs-file-descriptions\", \"aerial lift, suspended cable car\")\n  def route_type_short_description(\"7\"), do: dgettext(\"gtfs-file-descriptions\", \"funicular\")\n  def route_type_short_description(\"11\"), do: dgettext(\"gtfs-file-descriptions\", \"trolleybus\")\n  def route_type_short_description(\"12\"), do: dgettext(\"gtfs-file-descriptions\", \"monorail\")\n  def route_type_short_description(_unexpected), do: dgettext(\"gtfs-file-descriptions\", \"unknown\")\n\n  def stop_location_type_short_description(\"0\"), do: dgettext(\"gtfs-file-descriptions\", \"stop or platform\")\n  def stop_location_type_short_description(\"1\"), do: dgettext(\"gtfs-file-descriptions\", \"station\")\n  def stop_location_type_short_description(\"2\"), do: dgettext(\"gtfs-file-descriptions\", \"entrance/exit\")\n  def stop_location_type_short_description(\"3\"), do: dgettext(\"gtfs-file-descriptions\", \"generic node\")\n  def stop_location_type_short_description(\"4\"), do: dgettext(\"gtfs-file-descriptions\", \"boarding area\")\n  def stop_location_type_short_description(_unexpected), do: dgettext(\"gtfs-file-descriptions\", \"unknown\")\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_select_live/results.ex",
    "content": "defmodule TransportWeb.Live.GTFSDiffSelectLive.Results do\n  @moduledoc \"\"\"\n  Results step of the GTFS diff tool.\n  \"\"\"\n  use Phoenix.Component\n  use TransportWeb.InputHelpers\n  use Gettext, backend: TransportWeb.Gettext\n  import TransportWeb.Live.GTFSDiffSelectLive.Differences\n\n  @preferred_files_order [\n    \"agency.txt\",\n    \"stops.txt\",\n    \"routes.txt\",\n    \"trips.txt\",\n    \"stop_times.txt\",\n    \"calendar.txt\",\n    \"calendar_dates.txt\",\n    \"fare_attributes.txt\",\n    \"fare_products.txt\",\n    \"shapes.txt\",\n    \"frequencies.txt\",\n    \"transfers.txt\",\n    \"pathways.txt\",\n    \"levels.txt\",\n    \"booking_rules.txt\",\n    \"translations.txt\",\n    \"feed_info.txt\",\n    \"attributions.txt\"\n  ]\n\n  def results_step(%{error_msg: _, profile: _, results: results} = assigns) do\n    files_with_changes = files_with_changes(results[:diff_summary])\n\n    assigns =\n      assigns\n      |> assign(files_with_changes: files_with_changes)\n      |> assign(selected_file: results[:selected_file] || pick_selected_file(files_with_changes))\n\n    ~H\"\"\"\n    <.inner\n      diff_explanations={@results[:diff_explanations]}\n      diff_file_url={@results[:diff_file_url]}\n      diff_summary={@results[:diff_summary]}\n      structural_changes={@results[:structural_changes]}\n      files_with_changes={@files_with_changes}\n      context={@results[:context]}\n      selected_file={@selected_file}\n      error_msg={@error_msg}\n      profile={@profile}\n    />\n    \"\"\"\n  end\n\n  defp pick_selected_file([]), do: nil\n  defp pick_selected_file(files_with_changes), do: Kernel.hd(files_with_changes)\n\n  defp files_with_changes(nil), do: []\n\n  defp files_with_changes(diff_summary) do\n    diff_summary\n    |> Map.values()\n    |> Enum.concat()\n    |> Enum.map(fn {{file, _, _}, _} -> file end)\n    |> Enum.sort_by(&preferred_files_order/1)\n    |> Enum.dedup()\n  end\n\n  defp preferred_files_order(filename) do\n    Enum.find_index(@preferred_files_order, &(&1 == filename)) || length(@preferred_files_order)\n  end\n\n  defp inner(\n         %{\n           diff_explanations: _,\n           diff_file_url: _,\n           diff_summary: _,\n           error_msg: _,\n           files_with_changes: _,\n           context: _,\n           profile: _,\n           selected_file: _,\n           structural_changes: _\n         } = assigns\n       ) do\n    ~H\"\"\"\n    <div id=\"gtfs-diff-results\" class=\"container\">\n      <div :if={@diff_file_url} class=\"panel\">\n        <h4>\n          {dgettext(\"gtfs-diff\", \"GTFS Diff is available for\")}\n          {link(dgettext(\"gtfs-diff\", \"download\"),\n            to: @diff_file_url,\n            target: \"_blank\"\n          )}\n        </h4>\n        <p>\n          {raw(\n            dgettext(\n              \"gtfs-diff\",\n              ~s|<a href=\"%{spec}\">Read</a> the GTFS Diff specification to understand how differences between GTFS are expressed|,\n              spec: \"https://github.com/MobilityData/gtfs_diff/blob/main/specification.md\"\n            )\n          )}.\n        </p>\n        <%= if @diff_summary do %>\n          <p>{display_context(@diff_summary, @context) |> raw()}</p>\n          <.diff_summaries\n            :if={@diff_summary != %{}}\n            diff_explanations={@diff_explanations}\n            diff_summary={@diff_summary}\n            files_with_changes={@files_with_changes}\n            selected_file={@selected_file}\n            structural_changes={@structural_changes}\n            profile={@profile}\n          />\n        <% else %>\n          <%= if @error_msg do %>\n            <.validation_error error_msg={@error_msg} />\n          <% else %>\n            <p>{dgettext(\"gtfs-diff\", \"Analyzing found differences…\")}</p>\n          <% end %>\n        <% end %>\n      </div>\n\n      <div class=\"actions\">\n        <button class=\"button-outline primary\" type=\"button\" phx-click=\"start-over\">\n          <i class=\"fa fa-rotate-left\"></i>&nbsp;{dgettext(\"gtfs-diff\", \"Start over\")}\n        </button>\n      </div>\n    </div>\n    \"\"\"\n  end\n\n  defp diff_summaries(\n         %{\n           files_with_changes: _,\n           selected_file: _,\n           diff_summary: _,\n           diff_explanations: _,\n           profile: _,\n           structural_changes: _\n         } = assigns\n       ) do\n    ~H\"\"\"\n    <div class=\"dashboard\">\n      <.navigation files_with_changes={@files_with_changes} selected_file={@selected_file} />\n      <.differences\n        diff_summary={@diff_summary}\n        selected_file={@selected_file}\n        diff_explanations={@diff_explanations}\n        structural_changes={@structural_changes}\n        profile={@profile}\n      />\n    </div>\n    \"\"\"\n  end\n\n  defp navigation(%{files_with_changes: _, selected_file: _} = assigns) do\n    ~H\"\"\"\n    <aside class=\"side-menu\" role=\"navigation\">\n      <ul>\n        <.select_file_navigation_link :for={file <- @files_with_changes} file={file} selected_file={@selected_file} />\n      </ul>\n    </aside>\n    \"\"\"\n  end\n\n  defp select_file_navigation_link(%{file: _, selected_file: _} = assigns) do\n    assigns =\n      assigns\n      |> assign(\n        :class,\n        if assigns[:file] == assigns[:selected_file] do\n          \"active\"\n        end\n      )\n\n    ~H\"\"\"\n    <li>\n      <a class={@class} phx-click=\"select-file\" phx-value-file={@file}>\n        <code>{@file}</code>\n      </a>\n    </li>\n    \"\"\"\n  end\n\n  defp display_context(diff_summary, %{\n         \"gtfs_original_file_name_1\" => file_name_1,\n         \"gtfs_original_file_name_2\" => file_name_2\n       }) do\n    if diff_summary == %{} do\n      similar_files(file_name_1, file_name_2)\n    else\n      different_files(file_name_1, file_name_2)\n    end\n  end\n\n  defp display_context(diff_summary, %{\"gtfs_url_1\" => url_1, \"gtfs_url_2\" => url_2}) do\n    if diff_summary == %{} do\n      similar_urls(url_1, url_2)\n    else\n      different_urls(url_1, url_2)\n    end\n  end\n\n  defp similar_files(file_1, file_2) do\n    dgettext(\n      \"gtfs-diff\",\n      \"The GTFS files <code>%{gtfs_original_file_name_2}</code> and <code>%{gtfs_original_file_name_1}</code> are similar.\",\n      gtfs_original_file_name_1: file_1,\n      gtfs_original_file_name_2: file_2\n    )\n  end\n\n  defp different_files(file_1, file_2) do\n    dgettext(\n      \"gtfs-diff\",\n      \"The GTFS file <code>%{gtfs_original_file_name_2}</code> has differences with the GTFS file <code>%{gtfs_original_file_name_1}</code>, as summarized below:\",\n      gtfs_original_file_name_1: file_1,\n      gtfs_original_file_name_2: file_2\n    )\n  end\n\n  defp similar_urls(url_1, url_2) do\n    dgettext(\n      \"gtfs-diff\",\n      \"The <a href=\\\"%{gtfs_url_2}\\\">modified GTFS file</a> and the <a href=\\\"%{gtfs_url_1}\\\">reference GTFS file</a> are similar.\",\n      gtfs_url_1: url_1,\n      gtfs_url_2: url_2\n    )\n  end\n\n  defp different_urls(url_1, url_2) do\n    dgettext(\n      \"gtfs-diff\",\n      \"The <a href=\\\"%{gtfs_url_2}\\\">modified GTFS file</a> has differences with the <a href=\\\"%{gtfs_url_1}\\\">reference GTFS file</a>, as summarized below:\",\n      gtfs_url_1: url_1,\n      gtfs_url_2: url_2\n    )\n  end\n\n  defp validation_error(%{error_msg: _} = assigns) do\n    ~H\"\"\"\n    <p>\n      {dgettext(\n        \"gtfs-diff\",\n        \"An error occurred while interpreting the results. Note that the report is still available as download. Error:\"\n      )}\n      <span class=\"red\"><%= translate_error(@error_msg) %></span>.\n    </p>\n    \"\"\"\n  end\n\n  defp translate_error(\":enomem\"), do: dgettext(\"gtfs-diff\", \"not enough memory\")\n  defp translate_error(e), do: \"#{e}\"\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_select_live/setup.ex",
    "content": "defmodule TransportWeb.Live.GTFSDiffSelectLive.Setup do\n  @moduledoc \"\"\"\n  Setup step of the GTFS diff tool.\n  \"\"\"\n  use Phoenix.LiveView\n  use Gettext, backend: TransportWeb.Gettext\n  use Phoenix.Component\n  import TransportWeb.Live.GTFSDiffSelectLive.Shared\n\n  def setup_step(%{uploads: _} = assigns) do\n    ~H\"\"\"\n    <div id=\"gtfs-diff-input\" class=\"container\" phx-drop-target={@uploads.ref}>\n      <form id=\"upload-form\" phx-submit=\"gtfs_diff\" phx-change=\"validate\">\n        <.upload_drop_zone uploads={@uploads} />\n        <.uploaded_files uploads={@uploads} />\n        <.upload_global_error :for={err <- upload_errors(@uploads)} error={err} uploads={@uploads} />\n\n        <.action_bar uploads={@uploads} />\n      </form>\n    </div>\n    \"\"\"\n  end\n\n  def action_bar(%{uploads: _} = assigns) do\n    ~H\"\"\"\n    <div class=\"actions\">\n      <button class=\"button\" disabled={invalid_uploads?(@uploads)} type=\"submit\">\n        <i class=\"fa fa-check\"></i>\n        {dgettext(\"gtfs-diff\", \"Compare\")}\n      </button>\n      <button\n        type=\"button\"\n        class=\"button-outline primary\"\n        disabled={Enum.empty?(@uploads.entries)}\n        phx-click=\"clear-uploads\"\n      >\n        <i class=\"fa fa-trash\"></i>\n        {dgettext(\"gtfs-diff\", \"Clear uploaded files\")}\n      </button>\n    </div>\n    \"\"\"\n  end\n\n  def invalid_uploads?(%{entries: gtfs}) do\n    not (Enum.count(gtfs) == 2 and Enum.all?(gtfs, &(&1.valid? && &1.done?)))\n  end\n\n  defp upload_drop_zone(%{uploads: _} = assigns) do\n    ~H\"\"\"\n    <div class=\"drop-zone panel\">\n      <label for={@uploads.ref}>\n        <i class=\"fa fa-upload\" aria-hidden=\"true\"></i>\n        <span>\n          {dgettext(\"gtfs-diff\", \"Drop your GTFS files here or click to browse your local drive\")}\n        </span>\n      </label>\n      <.live_file_input upload={@uploads} />\n    </div>\n    \"\"\"\n  end\n\n  defp uploaded_files(%{uploads: _} = assigns) do\n    ~H\"\"\"\n    <div id=\"uploaded-files\">\n      <%= for {entry, index} <- upload_entries(@uploads) do %>\n        <.upload uploads={@uploads} entry={entry} index={index} />\n        <%= if index == 0 do %>\n          <.upload_switch uploads={@uploads} />\n        <% end %>\n      <% end %>\n    </div>\n    \"\"\"\n  end\n\n  defp upload(%{entry: nil, index: _, uploads: _} = assigns) do\n    ~H\"\"\"\n    <article class=\"upload-entry upload-entry-inactive panel\">\n      <h4>{upload_title(@index)}</h4>\n      <label class=\"placeholder\" for={@uploads.ref}>\n        {dgettext(\"gtfs-diff\", \"Please upload some file above\")}\n      </label>\n    </article>\n    \"\"\"\n  end\n\n  defp upload(%{entry: entry, index: _, uploads: uploads} = assigns) do\n    has_errors = not Enum.empty?(upload_errors(uploads, entry))\n\n    classname =\n      if has_errors do\n        \"upload-entry upload-entry-errors panel\"\n      else\n        \"upload-entry panel\"\n      end\n\n    assigns =\n      assigns\n      |> assign(:has_errors, has_errors)\n      |> assign(:classname, classname)\n\n    ~H\"\"\"\n    <article class={@classname}>\n      <h4>{upload_title(@index)}</h4>\n      <div class=\"entry-name\">\n        <%= if @entry.valid? do %>\n          <.icon class=\"fa fa-square-check\" title={dgettext(\"gtfs-diff\", \"Valid file\")} />\n        <% else %>\n          <.icon class=\"fa fa-square-xmark\" title={dgettext(\"gtfs-diff\", \"Invalid file\")} />\n        <% end %>\n        {@entry.client_name}\n      </div>\n      <div class=\"progress-bar\">\n        <progress value={@entry.progress} max=\"100\">{@entry.progress}%</progress>\n        <button\n          type=\"button\"\n          phx-click=\"cancel-upload\"\n          phx-value-ref={@entry.ref}\n          title={dgettext(\"gtfs-diff\", \"Cancel upload or remove file\")}\n          aria-label={dgettext(\"gtfs-diff\", \"Cancel upload or remove file\")}\n        >\n          <i class=\"fa fa-xmark\"></i>\n        </button>\n      </div>\n      <div :if={@has_errors} class=\"upload-errors\">\n        <%= for err <- upload_errors(@uploads, @entry) do %>\n          {error_to_string(err)}\n        <% end %>\n      </div>\n    </article>\n    \"\"\"\n  end\n\n  defp upload_global_error(%{error: _, uploads: _} = assigns) do\n    ~H\"\"\"\n    <p class=\"alert alert-danger\">\n      <i class=\"fa fa-square-xmark red\"></i>\n      {error_to_string(@error)}\n      <.discarded_files :if={@error == :too_many_files} uploads={@uploads} />\n    </p>\n    \"\"\"\n  end\n\n  defp discarded_files(%{uploads: _} = assigns) do\n    ~H\"\"\"\n    <span id=\"discarded-files\">\n      {dgettext(\"gtfs-diff\", \"Discarded files:\")}\n      <.discarded_file :for={{entry, index} <- Enum.with_index(@uploads.entries)} entry={entry} index={index} />.\n    </span>\n    \"\"\"\n  end\n\n  defp discarded_file(%{entry: _, index: _} = assigns) do\n    ~H\"\"\"\n    <%= if @index > 0 do %>\n      ,\n    <% end %>\n    <code class=\"discarded-file\">{@entry.client_name}</code>\n    \"\"\"\n  end\n\n  @doc \"\"\"\n  iex> Gettext.put_locale(\"en\")\n  iex> error_to_string(:too_large)\n  \"File is too large, must be <20MB.\"\n  iex> error_to_string(:too_many_files)\n  \"You must select 2 files.\"\n  iex> error_to_string(:not_accepted)\n  \"You have selected an unacceptable file type.\"\n  iex> Gettext.put_locale(\"fr\")\n  iex> error_to_string(:too_large)\n  \"Fichier trop gros, doit peser moins de 20 Mo.\"\n  iex> error_to_string(:too_many_files)\n  \"Vous devez sélectionner 2 fichiers.\"\n  iex> error_to_string(:not_accepted)\n  \"Le type de fichier sélectionné n’est pas utilisable.\"\n  \"\"\"\n  def error_to_string(:too_many_files), do: dgettext(\"gtfs-diff\", \"You must select 2 files.\")\n  def error_to_string(:not_accepted), do: dgettext(\"gtfs-diff\", \"You have selected an unacceptable file type.\")\n\n  def error_to_string(:too_large),\n    do:\n      dgettext(\"gtfs-diff\", \"File is too large, must be <%{max_file_size_mb}MB.\", max_file_size_mb: max_file_size_mb())\n\n  defp upload_title(index) do\n    if index == 0 do\n      dgettext(\"gtfs-diff\", \"Reference GTFS\")\n    else\n      dgettext(\"gtfs-diff\", \"Modified GTFS\")\n    end\n  end\n\n  defp upload_switch(%{uploads: _} = assigns) do\n    ~H\"\"\"\n    <div>\n      <button\n        disabled={length(@uploads.entries) != 2}\n        class=\"button-outline primary small\"\n        type=\"button\"\n        title={dgettext(\"gtfs-diff\", \"Switch files\")}\n        aria-label={dgettext(\"gtfs-diff\", \"Switch files\")}\n        phx-click=\"switch-uploads\"\n      >\n        <i class=\"fa fa-arrow-right-arrow-left\"></i>\n      </button>\n    </div>\n    \"\"\"\n  end\n\n  defp icon(%{title: _, class: _} = assigns) do\n    ~H\"\"\"\n    <i class={@class} title={@title} aria-label={@title}></i>\n    \"\"\"\n  end\n\n  defp upload_entries(uploads) do\n    entries =\n      if length(uploads.entries) > 2 do\n        [nil, nil]\n      else\n        uploads.entries\n        |> Enum.concat([nil, nil])\n        |> Enum.take(2)\n      end\n\n    Enum.with_index(entries)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_select_live/shared.ex",
    "content": "defmodule TransportWeb.Live.GTFSDiffSelectLive.Shared do\n  def max_file_size_mb, do: 20\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_select_live/steps.ex",
    "content": "defmodule TransportWeb.Live.GTFSDiffSelectLive.Steps do\n  @moduledoc \"\"\"\n  Results step of the GTFS diff tool.\n  \"\"\"\n  use Phoenix.LiveView\n  use Gettext, backend: TransportWeb.Gettext\n  use Phoenix.Component\n\n  def steps(%{current_step: _} = assigns) do\n    ~H\"\"\"\n    <div id=\"gtfs-diff-steps\" class=\"container\">\n      <ul class=\"steps-form\">\n        <li class={step_completion(@current_step, :setup)}>\n          <div>{dgettext(\"gtfs-diff\", \"Setup\")}</div>\n        </li>\n        <li class={step_completion(@current_step, :analysis)}>\n          <div>{dgettext(\"gtfs-diff\", \"Analysis\")}</div>\n        </li>\n        <li class={step_completion(@current_step, :results)}>\n          <div>{dgettext(\"gtfs-diff\", \"Results\")}</div>\n        </li>\n      </ul>\n    </div>\n    \"\"\"\n  end\n\n  defp step_completion(current_step, expected_step) do\n    cond do\n      step_progression(current_step) > step_progression(expected_step) -> \"done\"\n      step_progression(current_step) == step_progression(expected_step) -> \"active\"\n      true -> \"\"\n    end\n  end\n\n  defp step_progression(step) do\n    case step do\n      :setup -> 1\n      :analysis -> 2\n      :results -> 3\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_select_live.ex",
    "content": "defmodule TransportWeb.Live.GTFSDiffSelectLive do\n  @moduledoc \"\"\"\n  Beta functionality: generate GTFS file diffs online\n  \"\"\"\n  use Phoenix.LiveView\n  use TransportWeb.InputHelpers\n  use Gettext, backend: TransportWeb.Gettext\n  alias TransportWeb.GTFSDiffExplain\n\n  import TransportWeb.Live.GTFSDiffSelectLive.Analysis\n  import TransportWeb.Live.GTFSDiffSelectLive.Results\n  import TransportWeb.Live.GTFSDiffSelectLive.Setup\n  import TransportWeb.Live.GTFSDiffSelectLive.Shared\n  import TransportWeb.Live.GTFSDiffSelectLive.Steps\n\n  def mount(params, %{\"locale\" => locale} = session, socket) do\n    Gettext.put_locale(locale)\n\n    socket = clean_slate(socket) |> set_current_contact(session[\"current_user\"])\n\n    case params do\n      :not_mounted_at_router -> {:ok, setup_uploads(socket)}\n      %{} -> {:ok, setup_uploads(socket)}\n      _ -> {:ok, do_handle_params(socket, params)}\n    end\n  end\n\n  def handle_params(params, _uri, socket) do\n    {:noreply, do_handle_params(socket, params)}\n  end\n\n  defp do_handle_params(socket, params) do\n    socket |> set_profile(params) |> handle_urls(params)\n  end\n\n  defp handle_urls(socket, %{\"reference_url\" => reference_url, \"modified_url\" => modified_url}) do\n    skip_uploads_and_diff_urls(socket, reference_url, modified_url)\n  end\n\n  defp handle_urls(socket, _) do\n    setup_uploads(socket)\n  end\n\n  defp skip_uploads_and_diff_urls(socket, reference_url, modified_url) do\n    socket\n    |> assign(current_step: :analysis)\n    |> trigger_job(reference_url, modified_url, socket.assigns[:profile])\n    |> scroll_to_steps()\n  end\n\n  def set_profile(socket, %{\"profile\" => profile}) do\n    assign(socket, profile: profile)\n  end\n\n  def set_profile(socket, _) do\n    assign(socket, profile: \"core\")\n  end\n\n  def handle_event(\"validate\", _params, socket) do\n    {:noreply, assign(socket, error_msg: nil)}\n  end\n\n  def handle_event(\"cancel-upload\", %{\"ref\" => ref}, socket) do\n    {:noreply, cancel_upload(socket, :gtfs, ref)}\n  end\n\n  def handle_event(\"switch-uploads\", _, socket) do\n    {:noreply, switch_uploads(socket)}\n  end\n\n  def handle_event(\"clear-uploads\", _, socket) do\n    {:noreply, clear_uploads(socket)}\n  end\n\n  def handle_event(\"start-over\", _, socket) do\n    {:noreply, clean_slate(socket)}\n  end\n\n  def handle_event(\"select-file\", %{\"file\" => file}, socket) do\n    {:noreply, set_selected_file(socket, file)}\n  end\n\n  def handle_event(\"gtfs_diff\", _, socket) do\n    send(self(), :enqueue_job)\n\n    DB.FeatureUsage.insert!(:gtfs_diff, get_in(socket.assigns.current_contact.id), %{})\n\n    socket =\n      socket\n      |> assign(current_step: :analysis)\n      |> scroll_to_steps()\n\n    {:noreply, socket}\n  end\n\n  def handle_info(:enqueue_job, socket) do\n    [gtfs_file_2, gtfs_file_1] = read_uploaded_files(socket)\n\n    {:noreply, socket |> trigger_job(gtfs_file_1, gtfs_file_2, socket.assigns[:profile])}\n  end\n\n  def handle_info({:generate_diff_summary, diff_file_url}, socket) do\n    {:noreply, socket |> handle_diff_summary(diff_file_url)}\n  end\n\n  def handle_info(\n        {:notification, :gossip, notification},\n        %{assigns: %{job_id: job_id}} = socket\n      ) do\n    {:noreply, handle_job_notification(notification, job_id, socket)}\n  end\n\n  # job took too long\n  def handle_info(:timeout, socket) do\n    socket =\n      if is_nil(socket.assigns[:diff_file_url]) do\n        on_timeout(socket)\n      else\n        socket\n      end\n\n    {:noreply, socket}\n  end\n\n  # catch-all\n  def handle_info(_, socket) do\n    {:noreply, socket}\n  end\n\n  defp trigger_job(socket, gtfs_file_1, gtfs_file_2, profile) do\n    :ok = listen_job_notifications()\n\n    job_id = schedule_job(gtfs_file_1, gtfs_file_2, profile)\n\n    socket\n    |> assign(job_id: job_id)\n    |> assign(diff_logs: [dgettext(\"gtfs-diff\", \"Job started\")])\n  end\n\n  # job has started\n  def handle_job_notification(%{\"started\" => job_id}, job_id, socket) do\n    schedule_timeout()\n    socket\n  end\n\n  # notifications about the ongoing job\n  def handle_job_notification(%{\"running\" => job_id, \"log\" => log}, job_id, socket) do\n    append_log(socket, log)\n  end\n\n  # job is complete\n  def handle_job_notification(\n        %{\n          \"complete\" => job_id,\n          \"diff_file_url\" => diff_file_url,\n          \"context\" => context\n        },\n        job_id,\n        socket\n      ) do\n    generate_diff_summary(diff_file_url)\n    unlisten_job_notifications()\n\n    socket\n    |> present_results(diff_file_url, context)\n    |> scroll_to_steps()\n  end\n\n  def handle_job_notification(_, _, socket), do: socket\n\n  defp read_uploaded_files(socket) do\n    consume_uploaded_entries(socket, :gtfs, &consume_uploaded_entry/2)\n  end\n\n  defp consume_uploaded_entry(%{path: path}, %Phoenix.LiveView.UploadEntry{client_name: original_file_name}) do\n    file_name = Path.basename(path)\n    stream_to_s3(path, file_name)\n    {:ok, %{uploaded_file_name: file_name, original_file_name: original_file_name}}\n  end\n\n  defp schedule_job(gtfs_url_1, gtfs_url_2, profile) when is_binary(gtfs_url_1) do\n    schedule_job(\n      %{\n        gtfs_url_1: gtfs_url_1,\n        gtfs_url_2: gtfs_url_2,\n        gtfs_original_file_name_1: \"reference.zip\",\n        gtfs_original_file_name_2: \"modified.zip\"\n      },\n      profile\n    )\n  end\n\n  defp schedule_job(\n         %{uploaded_file_name: gtfs_object_1, original_file_name: gtfs_original_file_name_1},\n         %{\n           uploaded_file_name: gtfs_object_2,\n           original_file_name: gtfs_original_file_name_2\n         },\n         profile\n       ) do\n    schedule_job(\n      %{\n        gtfs_object_1: gtfs_object_1,\n        gtfs_object_2: gtfs_object_2,\n        gtfs_original_file_name_1: gtfs_original_file_name_1,\n        gtfs_original_file_name_2: gtfs_original_file_name_2\n      },\n      profile\n    )\n  end\n\n  defp schedule_job(args, profile) do\n    %{id: job_id} =\n      args\n      |> Map.merge(%{\n        locale: Gettext.get_locale(),\n        profile: profile\n      })\n      |> Transport.Jobs.GTFSDiff.new()\n      |> Oban.insert!()\n\n    job_id\n  end\n\n  defp listen_job_notifications, do: Oban.Notifier.listen([:gossip])\n\n  defp unlisten_job_notifications, do: Oban.Notifier.unlisten([:gossip])\n\n  defp clean_slate(socket) do\n    socket\n    |> assign(current_step: :setup)\n    |> assign(diff_logs: [])\n    |> assign(error_msg: nil)\n    |> assign(results: %{})\n    |> assign(profile: \"core\")\n  end\n\n  defp set_current_contact(socket, current_user) do\n    current_contact =\n      if is_nil(current_user) do\n        nil\n      else\n        DB.Contact\n        |> DB.Repo.get_by!(datagouv_user_id: Map.fetch!(current_user, \"id\"))\n      end\n\n    assign(socket, :current_contact, current_contact)\n  end\n\n  defp setup_uploads(socket) do\n    allow_upload(socket, :gtfs,\n      accept: ~w(.zip),\n      max_entries: 2,\n      max_file_size: max_file_size_mb() * 1_000_000,\n      auto_upload: true\n    )\n  end\n\n  defp append_log(socket, log) do\n    update(socket, :diff_logs, fn logs -> Enum.concat(logs, [log]) end)\n  end\n\n  defp generate_diff_summary(diff_file_url) do\n    send(self(), {:generate_diff_summary, diff_file_url})\n  end\n\n  defp handle_diff_summary(socket, diff_file_url) do\n    http_client = Transport.Shared.Wrapper.HTTPoison.impl()\n\n    case http_client.get(diff_file_url) do\n      {:error, error} ->\n        assign(socket, error_msg: HTTPoison.Error.message(error))\n\n      {:ok, %{status_code: 200, body: body}} ->\n        diff = Transport.GTFSDiff.parse_diff_output(body)\n\n        update_results_with_diff(socket, diff)\n    end\n  end\n\n  defp present_results(socket, diff_file_url, context) do\n    updates = [\n      set(:diff_file_url, diff_file_url),\n      set(:context, context)\n    ]\n\n    socket\n    |> assign(current_step: :results)\n    |> update_many(:results, updates)\n  end\n\n  defp update_results_with_diff(socket, diff) do\n    diff_summary = diff |> GTFSDiffExplain.diff_summary()\n    diff_explanations = diff |> GTFSDiffExplain.diff_explanations() |> drop_empty()\n    structural_changes = diff |> GTFSDiffExplain.structural_changes()\n\n    update_many(socket, :results, [\n      set(:diff_summary, diff_summary),\n      set(:diff_explanations, diff_explanations),\n      set(:structural_changes, structural_changes)\n    ])\n  end\n\n  defp schedule_timeout do\n    Process.send_after(self(), :timeout, Transport.Jobs.GTFSDiff.job_timeout_sec() * 1_000)\n  end\n\n  defp on_timeout(socket) do\n    # no diff_file_url: job has not finished\n    unlisten_job_notifications()\n\n    assign(socket, error_msg: timeout_msg())\n  end\n\n  @doc \"\"\"\n  iex> Gettext.put_locale(\"en\")\n  iex> timeout_msg()\n  \"Job aborted, the diff is taking too long (> 30 min).\"\n  iex> Gettext.put_locale(\"fr\")\n  iex> timeout_msg()\n  \"Traitement annulé, cela prend trop de temps (plus de 30 minutes).\"\n  \"\"\"\n  def timeout_msg do\n    minutes = round(Transport.Jobs.GTFSDiff.job_timeout_sec() / 60)\n\n    dgettext(\"gtfs-diff\", \"Job aborted, the diff is taking too long (> %{minutes} min).\", minutes: minutes)\n  end\n\n  defp scroll_to_steps(socket) do\n    push_event(socket, \"gtfs-diff:scroll-to-steps\", %{})\n  end\n\n  defp update_many(socket, key, fns) do\n    update(socket, key, sequence(fns))\n  end\n\n  defp sequence(fns) do\n    fn hash0 -> Enum.reduce(fns, hash0, fn f, hash -> f.(hash) end) end\n  end\n\n  defp set(key, value) do\n    fn hash -> Map.put(hash, key, value) end\n  end\n\n  defp stream_to_s3(file_path, path) do\n    Transport.S3.stream_to_s3!(:gtfs_diff, file_path, path, acl: :public_read)\n  end\n\n  defp set_selected_file(socket, file) do\n    update(socket, :results, set(:selected_file, file))\n  end\n\n  defp switch_uploads(socket) do\n    update(socket, :uploads, fn uploads ->\n      Map.update!(uploads, :gtfs, fn gtfs ->\n        Map.update!(gtfs, :entries, &Enum.reverse/1)\n      end)\n    end)\n  end\n\n  defp clear_uploads(socket) do\n    {socket, _} = Phoenix.LiveView.Upload.maybe_cancel_uploads(socket)\n    socket\n  end\n\n  defp drop_empty([]), do: nil\n  defp drop_empty(otherwise), do: otherwise\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/gtfs_diff_select_live.html.heex",
    "content": "<section class=\"section pb-48\">\n  <div class=\"container\">\n    <h1>{dgettext(\"gtfs-diff\", \"GTFS comparison with GTFS Diff\")}</h1>\n    <p>\n      {raw(\n        dgettext(\n          \"gtfs-diff\",\n          ~s|GTFS Diff is a <a href=\"%{link}\">specification</a>\n      created by transport.data.gouv.fr and aims at providing a simple and unified way to express differences between GTFS files|,\n          link: \"https://github.com/etalab/gtfs_diff\"\n        )\n      )}.\n    </p>\n  </div>\n</section>\n\n<section class=\"section section-grey\">\n  <.steps current_step={@current_step} />\n\n  <.setup_step :if={@current_step == :setup} uploads={@uploads.gtfs} />\n\n  <.analysis_step :if={@current_step == :analysis} diff_logs={assigns[:diff_logs]} error_msg={assigns[:error_msg]} />\n\n  <.results_step\n    :if={@current_step == :results}\n    results={assigns[:results]}\n    error_msg={assigns[:error_msg]}\n    profile={@profile}\n  />\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/notifications_live.ex",
    "content": "defmodule TransportWeb.Live.NotificationsLive do\n  use Phoenix.LiveView\n  import Ecto.Query\n  use TransportWeb.InputHelpers\n  use Gettext, backend: TransportWeb.Gettext\n  import TransportWeb.BreadCrumbs, only: [breadcrumbs: 1]\n\n  @impl true\n  def mount(\n        _params,\n        %{\"current_user\" => %{\"id\" => user_id}, \"locale\" => locale, \"role\" => :reuser = role},\n        socket\n      ) do\n    Gettext.put_locale(locale)\n\n    current_contact =\n      DB.Contact.base_query()\n      |> preload(:followed_datasets)\n      |> where([contact: c], c.datagouv_user_id == ^user_id)\n      |> DB.Repo.one!()\n\n    datasets = Map.fetch!(current_contact, :followed_datasets)\n    subscriptions = notification_subscriptions_for_datasets(datasets, current_contact, :reuser)\n\n    socket =\n      assign(socket, %{\n        current_contact: current_contact,\n        role: role,\n        datasets: datasets,\n        subscriptions: subscriptions,\n        subscribed_platform_wide_reasons: subscribed_platform_wide_reasons(current_contact),\n        all_notifications_enabled: all_notifications_enabled?(subscriptions),\n        platform_wide_reasons: Transport.NotificationReason.shown_subscribable_platform_wide_reasons(role),\n        available_reasons: available_reasons(role)\n      })\n\n    {:ok, socket}\n  end\n\n  @impl true\n  def mount(\n        _params,\n        %{\n          \"current_user\" => current_user,\n          \"locale\" => locale,\n          \"datagouv_token\" => datagouv_token,\n          \"role\" => :producer = role\n        },\n        socket\n      ) do\n    Gettext.put_locale(locale)\n\n    {socket, datasets, current_contact, subscriptions} =\n      case DB.Dataset.datasets_for_user(datagouv_token) do\n        datasets when is_list(datasets) ->\n          current_contact = DB.Repo.get_by!(DB.Contact, datagouv_user_id: current_user[\"id\"])\n          subscriptions = notification_subscriptions_for_datasets(datasets, current_contact, :producer)\n          {socket |> assign(:error, nil), datasets, current_contact, subscriptions}\n\n        {:error, _} ->\n          {socket |> assign(:error, dgettext(\"alert\", \"Unable to get all your resources for the moment\")), [], nil, %{}}\n      end\n\n    socket =\n      assign(socket, %{\n        current_contact: current_contact,\n        role: role,\n        datasets: datasets,\n        subscriptions: subscriptions,\n        all_notifications_enabled: all_notifications_enabled?(subscriptions),\n        available_reasons: available_reasons(role)\n      })\n\n    {:ok, socket}\n  end\n\n  @impl true\n  # Toggle for a dataset reason\n  def handle_event(\n        \"toggle\",\n        %{\"dataset-id\" => dataset_id, \"subscription-id\" => subscription_id, \"reason\" => reason, \"action\" => action},\n        %Phoenix.LiveView.Socket{} = socket\n      )\n      when action in [\"turn_on\", \"turn_off\"] do\n    toggle_subscription(socket, dataset_id, subscription_id, reason, action)\n    subscriptions = notification_subscriptions_for_datasets(socket)\n    all_notifications_enabled = all_notifications_enabled?(subscriptions)\n\n    {:noreply, assign(socket, subscriptions: subscriptions, all_notifications_enabled: all_notifications_enabled)}\n  end\n\n  @impl true\n  # Toggle for a platform-wide reason\n  def handle_event(\n        \"toggle\",\n        %{\"reason\" => reason, \"action\" => action},\n        %Phoenix.LiveView.Socket{assigns: %{current_contact: %DB.Contact{} = contact}} = socket\n      )\n      when action in [\"turn_on\", \"turn_off\"] do\n    toggle_platform_wide_subscription(socket, reason, action)\n\n    {:noreply, assign(socket, subscribed_platform_wide_reasons: subscribed_platform_wide_reasons(contact))}\n  end\n\n  @impl true\n  def handle_event(\"toggle-all\", %{\"action\" => action}, %Phoenix.LiveView.Socket{} = socket)\n      when action in [\"turn_on\", \"turn_off\"] do\n    toggle_all_subscriptions(socket, action)\n\n    subscriptions = notification_subscriptions_for_datasets(socket)\n    all_notifications_enabled = all_notifications_enabled?(subscriptions)\n\n    {:noreply, assign(socket, subscriptions: subscriptions, all_notifications_enabled: all_notifications_enabled)}\n  end\n\n  defp subscribed_platform_wide_reasons(%DB.Contact{id: contact_id}) do\n    DB.NotificationSubscription.base_query()\n    |> where(\n      [notification_subscription: ns],\n      is_nil(ns.dataset_id) and ns.contact_id == ^contact_id and ns.role == :reuser\n    )\n    |> select([notification_subscription: ns], ns.reason)\n    |> DB.Repo.all()\n  end\n\n  def notification_subscriptions_for_datasets(%Phoenix.LiveView.Socket{assigns: assigns}) do\n    notification_subscriptions_for_datasets(assigns.datasets, assigns.current_contact, assigns.role)\n  end\n\n  def notification_subscriptions_for_datasets(datasets, current_contact, :reuser = role) do\n    dataset_ids = Enum.map(datasets, fn %DB.Dataset{id: id} -> id end)\n\n    current_contact\n    |> DB.Repo.preload(:notification_subscriptions, force: true)\n    |> Map.fetch!(:notification_subscriptions)\n    |> Enum.reject(fn %DB.NotificationSubscription{dataset_id: dataset_id, role: ns_role} ->\n      dataset_id not in dataset_ids or ns_role != role\n    end)\n    |> Enum.reduce(subscriptions_empty_map(role, datasets), fn %DB.NotificationSubscription{} = subscription, acc ->\n      put_in(acc, [subscription.dataset_id, subscription.reason, :user_subscription], subscription)\n    end)\n  end\n\n  def notification_subscriptions_for_datasets(datasets, current_contact, :producer = role) do\n    datasets\n    |> Enum.map(fn %DB.Dataset{id: id} -> id end)\n    |> DB.NotificationSubscription.producer_subscriptions_for_datasets(current_contact.id)\n    |> Enum.uniq_by(& &1.id)\n    # keep alphabetical order while injecting with reduce\n    |> Enum.reverse()\n    |> Enum.reduce(subscriptions_empty_map(role, datasets), fn subscription, acc ->\n      if subscription.contact == current_contact do\n        acc |> put_in([subscription.dataset_id, subscription.reason, :user_subscription], subscription)\n      else\n        acc\n        |> put_in(\n          [subscription.dataset_id, subscription.reason, :team_subscriptions],\n          [subscription | acc[subscription.dataset_id][subscription.reason][:team_subscriptions]]\n        )\n      end\n    end)\n  end\n\n  defp toggle_subscription(\n         %Phoenix.LiveView.Socket{assigns: %{current_contact: current_contact, role: role}},\n         dataset_id,\n         _subscription_id,\n         reason,\n         \"turn_on\"\n       ) do\n    %{contact_id: current_contact.id, dataset_id: dataset_id, reason: reason, source: :user, role: role}\n    |> DB.NotificationSubscription.insert!()\n  end\n\n  defp toggle_subscription(\n         %Phoenix.LiveView.Socket{assigns: %{current_contact: current_contact}},\n         _dataset_id,\n         subscription_id,\n         reason,\n         \"turn_off\"\n       ) do\n    DB.NotificationSubscription.base_query()\n    |> where(\n      [notification_subscription: ns],\n      ns.id == ^subscription_id and ns.contact_id == ^current_contact.id and ns.reason == ^reason\n    )\n    |> DB.Repo.one!()\n    |> DB.Repo.delete!()\n  end\n\n  defp toggle_platform_wide_subscription(\n         %Phoenix.LiveView.Socket{assigns: %{current_contact: current_contact}},\n         reason,\n         \"turn_on\"\n       ) do\n    %{contact_id: current_contact.id, dataset_id: nil, reason: reason, source: :user, role: :reuser}\n    |> DB.NotificationSubscription.insert!()\n  end\n\n  defp toggle_platform_wide_subscription(\n         %Phoenix.LiveView.Socket{assigns: %{current_contact: %DB.Contact{id: contact_id}}},\n         reason,\n         \"turn_off\"\n       ) do\n    DB.NotificationSubscription.base_query()\n    |> where([notification_subscription: ns], ns.contact_id == ^contact_id and ns.reason == ^reason)\n    |> DB.Repo.one!()\n    |> DB.Repo.delete!()\n  end\n\n  defp toggle_all_subscriptions(\n         %Phoenix.LiveView.Socket{assigns: %{subscriptions: old_subscriptions}} = socket,\n         \"turn_on\"\n       ) do\n    subscriptions_to_create =\n      Enum.flat_map(old_subscriptions, fn {dataset_id, reason_map} ->\n        reason_map\n        |> Map.filter(fn {_, v} -> match?(%{user_subscription: nil}, v) end)\n        |> Map.keys()\n        |> Enum.map(fn reason -> {dataset_id, reason} end)\n      end)\n\n    DB.Repo.transaction(fn ->\n      Enum.each(subscriptions_to_create, fn {dataset_id, reason} ->\n        toggle_subscription(socket, dataset_id, nil, reason, \"turn_on\")\n      end)\n    end)\n  end\n\n  defp toggle_all_subscriptions(\n         %Phoenix.LiveView.Socket{assigns: %{current_contact: %DB.Contact{id: contact_id}, role: role}},\n         \"turn_off\"\n       ) do\n    DB.NotificationSubscription.base_query()\n    |> where(\n      [notification_subscription: ns],\n      ns.contact_id == ^contact_id and ns.role == ^role and not is_nil(ns.dataset_id)\n    )\n    |> DB.Repo.delete_all()\n  end\n\n  defp subscriptions_empty_map(role, datasets) do\n    reasons =\n      Map.new(Transport.NotificationReason.subscribable_reasons_related_to_datasets(role), fn reason ->\n        {reason, %{user_subscription: nil, team_subscriptions: []}}\n      end)\n\n    Map.new(datasets, fn %DB.Dataset{id: dataset_id} -> {dataset_id, reasons} end)\n  end\n\n  defp all_notifications_enabled?(subscriptions) do\n    Enum.all?(subscriptions, fn {_, reason_map} ->\n      Enum.all?(reason_map, fn {_, %{user_subscription: user_subscription}} ->\n        not is_nil(user_subscription)\n      end)\n    end)\n  end\n\n  def available_reasons(:reuser) do\n    [\n      %{\n        reason: Transport.NotificationReason.reason(:expiration),\n        explanations: dgettext(\"reuser-space\", \"data expiration notification explanation\")\n      },\n      %{\n        reason: Transport.NotificationReason.reason(:dataset_with_error),\n        explanations: dgettext(\"reuser-space\", \"validation errors notification explanation\")\n      },\n      %{\n        reason: Transport.NotificationReason.reason(:resource_unavailable),\n        explanations: dgettext(\"reuser-space\", \"unavailable resources notification explanation\")\n      },\n      %{\n        reason: Transport.NotificationReason.reason(:resources_changed),\n        explanations: dgettext(\"reuser-space\", \"resources changed notification explanation\")\n      }\n    ]\n  end\n\n  def available_reasons(:producer) do\n    [\n      %{\n        reason: Transport.NotificationReason.reason(:expiration),\n        explanations: dgettext(\"espace-producteurs\", \"data expiration notification explanation\")\n      },\n      %{\n        reason: Transport.NotificationReason.reason(:dataset_with_error),\n        explanations: dgettext(\"espace-producteurs\", \"validation errors notification explanation\")\n      },\n      %{\n        reason: Transport.NotificationReason.reason(:resource_unavailable),\n        explanations: dgettext(\"espace-producteurs\", \"unavailable resources notification explanation\")\n      }\n    ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/notifications_live.html.heex",
    "content": "<% is_producer = @role == :producer\nis_reuser = not is_producer\ncolspan = if is_producer, do: 3, else: 2\nbreadcrumb = if is_producer, do: :espace_producteur_notifications, else: :reuser_space_notifications\nfeedback_feature = if is_producer, do: \"producer_space\", else: \"reuser_space\"\ndisplay_error = is_producer and not is_nil(@error) %>\n<div class=\"pt-48\">\n  <div class=\"container pb-24\">\n    {breadcrumbs([@socket, breadcrumb])}\n  </div>\n</div>\n\n<section class=\"section producer-actions\">\n  <div class=\"container\">\n    <h2>{dgettext(\"espace-producteurs\", \"Manage my notifications\")}</h2>\n    <div :if={display_error} class=\"notification error\">{@error}</div>\n\n    <div class=\"panel mb-24\">\n      <p :if={is_producer}>{dgettext(\"espace-producteurs\", \"notifications are good for you\")}</p>\n      <p :if={is_reuser}>{raw(dgettext(\"reuser-space\", \"notifications are good for you\"))}</p>\n    </div>\n\n    <div class=\"row\">\n      <%= for %{reason: reason, explanations: explanations} <- @available_reasons do %>\n        <div class=\"card\">\n          <div class=\"card__content\">\n            <h5>{Transport.NotificationReason.reason_to_str(reason)}</h5>\n            <p>{explanations}</p>\n          </div>\n        </div>\n      <% end %>\n    </div>\n\n    <div :if={!display_error} class=\"panel mt-24\">\n      <div :if={is_reuser} data-content=\"platform-wide-notifications\">\n        <h3>{dgettext(\"reuser-space\", \"Global notifications\")}</h3>\n        <.form :let={f} for={%{}} class=\"full-width\">\n          <table class=\"table\">\n            <%= for reason <- @platform_wide_reasons do %>\n              <% subscribed = reason in @subscribed_platform_wide_reasons %>\n              <tr>\n                <td>{Transport.NotificationReason.reason_to_str(reason)}</td>\n                <td>\n                  <div class=\"form__group\">\n                    <fieldset>\n                      <span {if subscribed, do: [class: \"is-grey\"], else: []}>\n                        {dgettext(\"espace-producteurs\", \"Off\")}&nbsp;\n                      </span>\n                      <label class=\"switch\">\n                        {checkbox(\n                          f,\n                          reason,\n                          checked: subscribed,\n                          phx_value_reason: reason,\n                          phx_value_action: if(subscribed, do: \"turn_off\", else: \"turn_on\"),\n                          phx_click: \"toggle\"\n                        )}\n                        <span class=\"slider\"></span>\n                        <span {if not subscribed, do: [class: \"is-grey\"], else: []}>\n                          &nbsp;{dgettext(\"espace-producteurs\", \"On\")}\n                        </span>\n                      </label>\n                    </fieldset>\n                  </div>\n                </td>\n              </tr>\n            <% end %>\n          </table>\n        </.form>\n      </div>\n\n      <h3 :if={is_reuser}>{dgettext(\"reuser-space\", \"Notifications by dataset\")}</h3>\n      <.form :let={f} for={%{}} class=\"full-width\">\n        <table class=\"table\" data-content=\"dataset-notifications\">\n          <tr>\n            <td><strong>{dgettext(\"espace-producteurs\", \"All notifications\")}</strong></td>\n            <td>\n              <fieldset>\n                <span {if @all_notifications_enabled, do: [class: \"is-grey\"], else: []}>\n                  {dgettext(\"espace-producteurs\", \"Off\")}&nbsp;\n                </span>\n                <label class=\"switch\">\n                  {checkbox(\n                    f,\n                    \"check_all\",\n                    checked: @all_notifications_enabled,\n                    phx_value_action: if(@all_notifications_enabled, do: \"turn_off\", else: \"turn_on\"),\n                    phx_click: \"toggle-all\"\n                  )}\n                  <span class=\"slider\"></span>\n                  <span {if !@all_notifications_enabled, do: [class: \"is-grey\"], else: []}>\n                    &nbsp;{dgettext(\"espace-producteurs\", \"On\")}\n                  </span>\n                </label>\n              </fieldset>\n            </td>\n            <td :if={is_producer}></td>\n          </tr>\n          <%= for dataset <- @datasets do %>\n            <tr>\n              <th scope=\"row\" colspan={colspan}>\n                {dataset.custom_title}\n              </th>\n            </tr>\n\n            <%= for %{reason: reason} <- @available_reasons do %>\n              <tr>\n                <% my_subscription = @subscriptions[dataset.id][reason][:user_subscription] %>\n                <td>{Transport.NotificationReason.reason_to_str(reason)}</td>\n                <td>\n                  <div class=\"form__group\">\n                    <fieldset>\n                      <span {if my_subscription, do: [class: \"is-grey\"], else: []}>\n                        {dgettext(\"espace-producteurs\", \"Off\")}&nbsp;\n                      </span>\n                      <label class=\"switch\">\n                        {checkbox(\n                          f,\n                          reason,\n                          id: \"#{reason}_#{dataset.id}\",\n                          checked: !is_nil(my_subscription),\n                          phx_value_dataset_id: dataset.id,\n                          phx_value_reason: reason,\n                          phx_value_subscription_id: if(my_subscription, do: my_subscription.id, else: \"\"),\n                          phx_value_action: if(my_subscription, do: \"turn_off\", else: \"turn_on\"),\n                          phx_click: \"toggle\"\n                        )}\n                        <span class=\"slider\"></span>\n                        <span {if !my_subscription, do: [class: \"is-grey\"], else: []}>\n                          &nbsp;{dgettext(\"espace-producteurs\", \"On\")}\n                        </span>\n                      </label>\n                    </fieldset>\n                  </div>\n                </td>\n                <td :if={is_producer}>\n                  <% team_subscriptions = @subscriptions[dataset.id][reason][:team_subscriptions] %>\n                  <%= if team_subscriptions && team_subscriptions != [] do %>\n                    <% other_subscribers_names =\n                      Enum.map_join(team_subscriptions, \", \", &(&1.contact |> DB.Contact.display_name())) %>\n                    {dgettext(\"espace-producteurs\", \"other subscribed contacts\", names: other_subscribers_names)}\n                  <% else %>\n                    <i class=\"is-grey\">\n                      {dgettext(\"espace-producteurs\", \"Nobody else is subscribed to this notification\")}\n                    </i>\n                  <% end %>\n                </td>\n              </tr>\n            <% end %>\n          <% end %>\n        </table>\n      </.form>\n    </div>\n  </div>\n</section>\n<section class=\"section section-white\">\n  {live_render(@socket, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => feedback_feature}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/on_demand_validation_live.ex",
    "content": "defmodule TransportWeb.Live.OnDemandValidationLive do\n  @moduledoc \"\"\"\n  This Live view is in charge of displaying an on demand validation:\n  waiting, error and results screens.\n  \"\"\"\n  use Phoenix.LiveView\n  use TransportWeb.InputHelpers\n  use Gettext, backend: TransportWeb.Gettext\n  import Shared.DateTimeDisplay, only: [format_datetime_to_paris: 3]\n  import Transport.Validators.TableSchema, only: [validata_web_url: 1]\n  import Ecto.Query\n\n  def mount(\n        _params,\n        %{\"locale\" => locale, \"validation_id\" => validation_id, \"current_url\" => current_url} = _session,\n        socket\n      ) do\n    Gettext.put_locale(locale)\n    data = %{validation_id: validation_id, current_url: current_url, locale: locale}\n    {:ok, socket |> assign(data) |> update_data()}\n  end\n\n  defp update_data(socket) do\n    validation =\n      DB.MultiValidation.with_result()\n      |> preload(:metadata)\n      |> DB.Repo.get!(socket_value(socket, :validation_id))\n\n    socket =\n      assign(socket,\n        last_updated_at: DateTime.utc_now(),\n        validation: validation,\n        gtfs_rt_feed: maybe_gtfs_rt_feed(socket, validation)\n      )\n\n    unless final_state?(socket) do\n      schedule_next_update_data()\n    end\n\n    if gtfs_or_netex_validation_completed?(socket) do\n      redirect(socket, to: socket_value(socket, :current_url))\n    else\n      socket\n    end\n  end\n\n  def handle_info(:update_data, socket) do\n    {:noreply, update_data(socket)}\n  end\n\n  defp schedule_next_update_data do\n    Process.send_after(self(), :update_data, 1_000)\n  end\n\n  defp final_state?(socket) do\n    case socket_value(socket, :validation) do\n      %DB.MultiValidation{oban_args: oban_args} -> oban_args[\"state\"] in [\"error\", \"completed\"]\n      _ -> false\n    end\n  end\n\n  defp gtfs_or_netex_validation_completed?(socket) do\n    case socket_value(socket, :validation) do\n      %DB.MultiValidation{oban_args: oban_args} ->\n        oban_args[\"type\"] in [\"gtfs\", \"netex\"] and oban_args[\"state\"] == \"completed\"\n\n      _ ->\n        false\n    end\n  end\n\n  defp socket_value(%Phoenix.LiveView.Socket{assigns: assigns}, key), do: Map.fetch!(assigns, key)\n\n  def format_datetime(dt, locale) do\n    format_datetime_to_paris(dt, locale, with_seconds: true)\n  end\n\n  defp maybe_gtfs_rt_feed(\n         socket,\n         %DB.MultiValidation{oban_args: %{\"type\" => \"gtfs-rt\", \"state\" => \"completed\"}} = validation\n       ) do\n    lang = socket_value(socket, :locale)\n    url = Map.fetch!(validation.oban_args, \"gtfs_rt_url\")\n\n    Transport.Cache.fetch(\n      \"gtfs_rt_feed_validation_#{validation.id}_#{lang}\",\n      fn ->\n        case Transport.GTFSRT.decode_remote_feed(url) do\n          {:ok, feed} ->\n            %{\n              alerts: Transport.GTFSRT.service_alerts_for_display(feed, lang),\n              feed_is_too_old: Transport.GTFSRT.feed_is_too_old?(feed),\n              feed_timestamp_delay: Transport.GTFSRT.feed_timestamp_delay(feed),\n              feed: feed\n            }\n\n          {:error, _} ->\n            :error\n        end\n      end,\n      :timer.minutes(1)\n    )\n  end\n\n  defp maybe_gtfs_rt_feed(_, _), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/on_demand_validation_live.html.heex",
    "content": "<% oban_args = @validation.oban_args %>\n<% details = @validation.result %>\n<% is_final_state = oban_args[\"state\"] in [\"completed\", \"error\"] %>\n<section>\n  <div class=\"container\">\n    <div class=\"validation-title\">\n      <h2>{dgettext(\"validations\", \"Validation results\")}</h2>\n      <p>\n        {dgettext(\"validations\", \"This report can be shared with\")}\n        {link(dgettext(\"validations\", \"this permanent link\"), to: @current_url)}\n        {dgettext(\"validations\", \"during %{retention_days} days\",\n          retention_days: Transport.Jobs.CleanOnDemandValidationJob.retention_days()\n        )}.\n      </p>\n      <%= if is_final_state do %>\n        <p class=\"small\">\n          {dgettext(\"validations\", \"Validation performed at %{date}.\",\n            date: format_datetime(@validation.validation_timestamp, @locale)\n          )}\n        </p>\n      <% end %>\n    </div>\n  </div>\n\n  <div class=\"grey-background\">\n    <div class=\"container\">\n      <div class=\"panel\">\n        <%= if oban_args[\"state\"] == \"waiting\" do %>\n          <div class=\"loader_container\">\n            <div class=\"loader\"></div>\n          </div>\n        <% end %>\n\n        <%= if oban_args[\"state\"] == \"error\" do %>\n          <div class=\"notification error full-width\">\n            <p>{oban_args[\"error_reason\"]}</p>\n          </div>\n        <% end %>\n\n        <%= if oban_args[\"state\"] == \"completed\" do %>\n          <%= if oban_args[\"type\"] == \"gtfs-flex\" do %>\n            {TransportWeb.ResourceView.render(\"_validation_report_mobilitydata_gtfs.html\",\n              validation: @validation,\n              div_class: \"\",\n              file_url: @validation.validated_data_name,\n              locale: @locale\n            )}\n          <% end %>\n\n          <%= if oban_args[\"type\"] == \"gtfs-rt\" do %>\n            <% errors = Map.fetch!(details, \"errors\") %>\n            <% errors_error_level = errors |> Enum.filter(&(Map.fetch!(&1, \"severity\") == \"ERROR\")) %>\n            <% errors_warning_level = errors |> Enum.filter(&(Map.fetch!(&1, \"severity\") == \"WARNING\")) %>\n\n            <p :if={Map.get(details, \"ignore_shapes\", false)} class=\"notification\">\n              {dgettext(\"validations\", \"Shapes present in the GTFS have been ignored, some rules are not enforced.\")}\n            </p>\n\n            {TransportWeb.ValidationView.render(\"_errors_warnings_count.html\",\n              nb_errors: Map.fetch!(details, \"errors_count\"),\n              nb_warnings: Map.fetch!(details, \"warnings_count\"),\n              locale: @locale\n            )}\n\n            <p>\n              {dgettext(\"validations\", \"Validation performed at %{date}.\",\n                date: format_datetime(@validation.validation_timestamp, @locale)\n              )}\n            </p>\n\n            <h4>{dgettext(\"validations\", \"Feed details\")}</h4>\n            <ul>\n              <li>\n                GTFS <a href={Map.fetch!(oban_args, \"gtfs_url\")}>{Map.fetch!(oban_args, \"gtfs_url\")}</a>\n              </li>\n              <li>\n                GTFS-RT <a href={Map.fetch!(oban_args, \"gtfs_rt_url\")}>{Map.fetch!(oban_args, \"gtfs_rt_url\")}</a>\n              </li>\n            </ul>\n\n            <div class=\"notification\">\n              <p>\n                {raw(\n                  dgettext(\n                    \"validations\",\n                    ~s(This validation concerns the given GTFS-RT feed and GTFS file and has been carried out using the <a href=\"%{validator_url}\" target=\"_blank\">MobilityData GTFS-RT validator</a>. It does not validate the GTFS itself. You can validate your GTFS file <a href=\"%{gtfs_validator}\">using our GTFS validator</a>.),\n                    gtfs_validator:\n                      TransportWeb.Router.Helpers.live_path(@socket, TransportWeb.Live.OnDemandValidationSelectLive,\n                        type: \"gtfs\",\n                        selected_tile: \"public-transit\",\n                        selected_subtile: \"gtfs\"\n                      ),\n                    validator_url: TransportWeb.ResourceView.gtfs_rt_validator_url()\n                  )\n                )}\n              </p>\n              <p>\n                {dgettext(\n                  \"validations\",\n                  ~s(GTFS-RT feeds change in real-time. This validation report shows the validation result performed at %{date}. You can relaunch a validation later on and get different results.),\n                  date: format_datetime(@validation.validation_timestamp, @locale)\n                )}\n              </p>\n            </div>\n\n            <%= unless Enum.empty?(errors_error_level) do %>\n              <h4>{dgettext(\"validations\", \"Errors\")}</h4>\n              {TransportWeb.ValidationView.render(\"_gtfs_rt_errors_for_severity.html\",\n                errors_for_severity: errors_error_level,\n                locale: @locale\n              )}\n            <% end %>\n\n            <%= unless Enum.empty?(errors_warning_level) do %>\n              <h4>{dgettext(\"validations\", \"Warnings\")}</h4>\n              {TransportWeb.ValidationView.render(\"_gtfs_rt_errors_for_severity.html\",\n                errors_for_severity: errors_warning_level,\n                locale: @locale\n              )}\n            <% end %>\n            {TransportWeb.ResourceView.render(\"_gtfs_rt.html\",\n              gtfs_rt_feed: @gtfs_rt_feed,\n              entities_seen_recently: nil,\n              conn: @socket,\n              locale: @locale\n            )}\n          <% end %>\n\n          <%= if oban_args[\"type\"] in [\"tableschema\", \"jsonschema\"] do %>\n            <% max_display_errors = 50 %>\n            <p>\n              {raw(\n                dgettext(\"validations\", ~s(This resource should follow its schema %{link}.),\n                  link:\n                    safe_to_string(\n                      link(oban_args[\"schema_name\"],\n                        to: Transport.Schemas.documentation_url(oban_args[\"schema_name\"]),\n                        target: \"_blank\"\n                      )\n                    )\n                )\n              )}\n            </p>\n            <p>\n              <b>\n                <% nb_errors = details[\"errors_count\"] %>\n                <%= if nb_errors == 0 do %>\n                  <span class=\"icon--validation\">✅</span>{dgettext(\"validations\", \"No error detected\")}\n                <% else %>\n                  <span class=\"icon--validation\">❌</span>\n                  {\"#{nb_errors} #{dpngettext(\"validations\", \"errors\", \"error\", \"errors\", nb_errors)}\"}\n                <% end %>\n              </b>\n            </p>\n\n            <%= if nb_errors > 0 do %>\n              <p>{dgettext(\"validations\", \"Errors:\")}</p>\n              <ul>\n                <%= for error <- details[\"errors\"] |> Enum.take(max_display_errors) do %>\n                  <li>{error}</li>\n                <% end %>\n              </ul>\n\n              <%= if nb_errors > max_display_errors do %>\n                <p class=\"notification\">\n                  {dgettext(\"validations\", \"Showing only the first %{nb} errors.\", nb: max_display_errors)}\n                  <%= if oban_args[\"type\"] == \"tableschema\" do %>\n                    {raw(\n                      dgettext(\n                        \"validations\",\n                        ~s(See all your errors <a href=\"%{url}\" target=\"_blank\">using the web interface</a>.),\n                        url: validata_web_url(oban_args[\"schema_name\"])\n                      )\n                    )}\n                  <% end %>\n                </p>\n              <% end %>\n            <% end %>\n          <% end %>\n        <% end %>\n        <%= unless is_final_state do %>\n          <p class=\"small\">\n            {dgettext(\"validations\", \"Last updated at %{date}.\", date: format_datetime(@last_updated_at, @locale))}\n          </p>\n        <% end %>\n      </div>\n    </div>\n  </div>\n</section>\n<section class=\"section section-white\">\n  {live_render(@socket, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"on_demand_validation\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/on_demand_validation_select_live.ex",
    "content": "defmodule TransportWeb.Live.OnDemandValidationSelectLive do\n  @moduledoc \"\"\"\n  This LiveView is in charge of displaying a select input to choose\n  the type of data to validate. According to the type of data\n  selected, display appropriate input fields (file upload,\n  text inputs etc.)\n  \"\"\"\n  use Phoenix.LiveView\n  use TransportWeb.InputHelpers\n  use Gettext, backend: TransportWeb.Gettext\n  import TransportWeb.InputHelpers\n  import TransportWeb.Router.Helpers\n\n  @params [:type, :selected_tile, :selected_subtile, :url, :feed_url]\n\n  def mount(_params, %{\"locale\" => locale} = _session, socket) do\n    Gettext.put_locale(locale)\n\n    {:ok,\n     socket\n     |> socket_data(\n       Map.merge(\n         %{\n           trigger_submit: false,\n           tiles: [\n             {\"public-transit\",\n              %{\n                icon: static_path(socket, \"/images/icons/bus.svg\"),\n                title: dgettext(\"validations\", \"Public transit\"),\n                subtitle: \"GTFS, GTFS-RT, NeTEx\",\n                sub_tiles: [\"GTFS\", \"GTFS-Flex\", \"GTFS-RT\", \"NeTEx\"] |> Enum.map(&{&1, String.downcase(&1)})\n              }},\n             {\"vehicles-sharing\",\n              %{\n                icon: static_path(socket, \"/images/icons/vehicles-sharing.svg\"),\n                title: dgettext(\"validations\", \"Vehicles sharing\"),\n                subtitle: \"GBFS, NeTEx\",\n                sub_tiles: [\"GBFS\", \"NeTEx\"] |> Enum.map(&{&1, String.downcase(&1)})\n              }},\n             {\"schemas\",\n              %{\n                icon: static_path(socket, \"/images/icons/infos.svg\"),\n                title: dgettext(\"validations\", \"Road mobility and bike\"),\n                subtitle: dgettext(\"validations\", \"IRVE, ZFE, carpooling, bike data etc.\"),\n                sub_tiles:\n                  Transport.Schemas.Wrapper.transport_schemas()\n                  |> Enum.map(fn {k, v} -> {Map.fetch!(v, \"title\"), k} end)\n                  |> Enum.sort_by(&elem(&1, 0))\n              }}\n           ]\n         },\n         Map.new(@params, fn k -> {k, nil} end)\n       )\n     )}\n  end\n\n  def handle_params(params, _uri, socket) do\n    {:noreply, socket |> socket_data(params |> params_to_assigns())}\n  end\n\n  def self_path(socket) do\n    live_path(\n      socket,\n      __MODULE__,\n      socket.assigns |> Map.take(@params) |> Map.reject(fn {_, v} -> v in [\"\", nil] end)\n    )\n  end\n\n  def socket_data(socket, data) do\n    socket = socket |> assign(data)\n    socket |> assign(input_type: determine_input_type(socket.assigns.type))\n  end\n\n  def determine_input_type(type) when type in [\"gbfs\"], do: \"link\"\n  def determine_input_type(type) when type in [\"gtfs-rt\"], do: \"gtfs-rt\"\n  def determine_input_type(_), do: \"file\"\n\n  def handle_event(\"form_changed\", %{\"upload\" => params, \"_target\" => target}, socket) do\n    socket =\n      socket\n      |> socket_data(params |> params_to_assigns())\n      |> assign(trigger_submit: \"file\" in target)\n\n    {:noreply, socket |> push_patch(to: self_path(socket))}\n  end\n\n  def handle_event(\"select_tile\", %{\"tile\" => tile}, socket) do\n    socket = socket |> assign(selected_tile: tile, selected_subtile: nil, type: nil)\n    {:noreply, socket |> push_patch(to: self_path(socket))}\n  end\n\n  def handle_event(\"select_subtile\", %{\"tile\" => tile}, socket) do\n    socket = socket |> socket_data(type: tile, selected_subtile: tile)\n    {:noreply, socket |> push_patch(to: self_path(socket) <> \"#form_anchor\")}\n  end\n\n  def icon(type) do\n    Map.get(\n      %{\n        \"gtfs\" => \"/images/icons/bus.svg\",\n        \"gtfs-rt\" => \"/images/icons/bus.svg\",\n        \"gtfs-flex\" => \"/images/icons/bus.svg\",\n        \"netex\" => \"/images/icons/bus.svg\",\n        \"gbfs\" => \"/images/icons/vehicles-sharing.svg\",\n        \"etalab/schema-amenagements-cyclables\" => \"/images/icons/bike-data.svg\",\n        \"etalab/schema-stationnement-cyclable\" => \"/images/icons/bike-data.svg\",\n        \"etalab/schema-irve-dynamique\" => \"/images/icons/charge-station.svg\",\n        \"etalab/schema-irve-statique\" => \"/images/icons/charge-station.svg\",\n        \"etalab/schema-lieux-covoiturage\" => \"/images/icons/carpooling-areas.svg\",\n        \"etalab/schema-zfe\" => \"/images/icons/roads.svg\",\n        \"etalab/schema-stationnement\" => \"/images/icons/car.svg\"\n      },\n      type,\n      \"/images/icons/infos.svg\"\n    )\n  end\n\n  def params_to_assigns(params) do\n    params\n    |> Map.take(Enum.map(@params, &to_string/1))\n    |> Map.new(fn {k, v} -> {String.to_existing_atom(k), v} end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/on_demand_validation_select_live.html.heex",
    "content": "<section class=\"single-page section section-grey\">\n  <div class=\"container container_min_height\">\n    <h1>{dgettext(\"validations\", \"Check the quality of a file or a feed\")}</h1>\n    <div class=\"pb-48\">\n      <div class=\"available-data grid\">\n        <a\n          :for={{type, item} <- @tiles}\n          class={if @selected_tile == type, do: \"tile tile-colored\", else: \"tile\"}\n          phx-click=\"select_tile\"\n          phx-value-tile={type}\n        >\n          <img class=\"tile__icon\" src={item.icon} alt={item.title} />\n          <div class=\"tile__text\">\n            <h4>{item.title}</h4>\n            <div>{item.subtitle}</div>\n          </div>\n        </a>\n      </div>\n\n      <div\n        :for={{identifier, item} <- @tiles}\n        :if={@selected_tile == identifier}\n        class=\"container available-data grid pt-24 pb-48\"\n      >\n        <a\n          :for={{title, type} <- item.sub_tiles}\n          class={if @selected_subtile == type, do: \"tile tile-colored\", else: \"tile sub_tile\"}\n          phx-click=\"select_subtile\"\n          phx-value-tile={type}\n        >\n          <img class=\"tile__icon\" src={icon(type)} alt=\"\" />\n          <div class=\"tile__text\">\n            <h4>{title}</h4>\n          </div>\n        </a>\n      </div>\n\n      <div id=\"form_anchor\"></div>\n      <.form\n        :let={f}\n        :if={@selected_subtile}\n        for={%{}}\n        action={validation_path(@socket, :validate)}\n        class=\"no-margin\"\n        multipart={true}\n        as={:upload}\n        phx-change=\"form_changed\"\n        phx-trigger-action={@trigger_submit}\n      >\n        {hidden_input(f, :type, value: @type)}\n        <%= if @input_type == \"file\" do %>\n          {file_input(f, :file, label: dgettext(\"validations\", \"Choose your file\"), required: true)}\n        <% end %>\n        <%= if @input_type == \"link\" do %>\n          {text_input(f, :url,\n            label: dgettext(\"validations\", \"Your URL\"),\n            placeholder: \"https://.../gbfs.json\",\n            required: true,\n            type: \"url\",\n            value: @url\n          )}\n        <% end %>\n        <%= if @input_type == \"gtfs-rt\" do %>\n          {text_input(f, :url,\n            label: dgettext(\"validations\", \"Your GTFS' URL\"),\n            placeholder: \"https://example.com/gtfs.zip\",\n            required: true,\n            type: \"url\",\n            value: @url\n          )}\n          {text_input(f, :feed_url,\n            label: dgettext(\"validations\", \"Your GTFS realtime's URL\"),\n            placeholder: \"https://example.com/gtfs-rt.bin\",\n            required: true,\n            type: \"url\",\n            value: @feed_url\n          )}\n        <% end %>\n        <%= unless @input_type == \"file\" do %>\n          {submit(dgettext(\"validations\", \"Validate\"), nodiv: true)}\n        <% end %>\n      </.form>\n      <p :if={@trigger_submit} class=\"small\">\n        {dgettext(\"validations\", \"Upload in progress\")}\n      </p>\n    </div>\n  </div>\n</section>\n\n<section class=\"section section-white\">\n  {live_render(@socket, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"on_demand_validation\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/proxy_requests_count_live.ex",
    "content": "defmodule TransportWeb.ProxyRequestsCountLive do\n  @moduledoc \"\"\"\n  A live counter of dicussions for the dataset\n  \"\"\"\n  use Phoenix.LiveView, container: {:div, [class: \"domain\", id: \"proxy-requests\"]}\n  import Ecto.Query\n\n  @doc_url \"https://doc.transport.data.gouv.fr/type-donnees/operateurs-de-transport-regulier-de-personnes/administration-des-donnees-transport-public-collectif/publier-des-donnees-temps-reel/serveur-proxy-gtfs-rt\"\n\n  def render(assigns) do\n    ~H\"\"\"\n    <h2>Requêtes temps-réel sur le proxy</h2>\n    <p>\n      transport.data.gouv.fr met à disposition des producteurs de données <a href={@doc_url}>un service de proxy</a>\n      permettant de diffuser des données temps réel au format GTFS-RT.\n    </p>\n    <div :if={assigns[:data]}>\n      <% ratio = Map.get(assigns[:data], \"external\", 0) / Map.get(assigns[:data], \"internal\", 1) %>\n      <div class=\"proxy-external-requests\">\n        {Helpers.format_number(Map.get(assigns[:data], \"external\", 0), locale: @locale)}\n      </div>\n      <div class=\"proxy-legend\">Nombre de requêtes au cours des 30 derniers jours</div>\n      <p>\n        Ce service facilite la diffusion de données temps réel et diminue\n        les coûts de mise à disposition des producteurs.\n        Notre proxy a diminué le nombre de requêtes que doivent gérer les producteurs\n        par un facteur de {ratio |> Float.round(1) |> Helpers.format_number(locale: @locale)} sur cette période.\n      </p>\n    </div>\n    \"\"\"\n  end\n\n  def mount(_, %{\"locale\" => locale}, socket) do\n    send(self(), :update_data)\n    {:ok, socket |> assign(doc_url: @doc_url, locale: locale)}\n  end\n\n  def handle_info(:update_data, socket) do\n    query =\n      from(m in DB.Metrics,\n        group_by: fragment(\"event_type\"),\n        where: fragment(\"? >= (now() - interval '30 day')\", m.period),\n        select: %{\n          sum: sum(m.count),\n          event_type:\n            fragment(\n              \"case when ? like '%internal' then 'internal' when ? like '%external' then 'external' else 'other' end\",\n              m.event,\n              m.event\n            )\n        }\n      )\n\n    query =\n      from(metrics in subquery(query),\n        where: metrics.event_type != \"other\",\n        select: %{\n          sum: metrics.sum,\n          event: metrics.event_type\n        }\n      )\n\n    socket =\n      socket\n      |> assign(:data, query |> DB.Repo.all() |> Enum.into(%{}, fn %{event: event, sum: sum} -> {event, sum} end))\n\n    Process.send_after(self(), :update_data, 5_000)\n    {:noreply, socket}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/reuses_live.ex",
    "content": "defmodule TransportWeb.ReusesLive do\n  @moduledoc \"\"\"\n  Display data.gouv reuses on the dataset page\n  \"\"\"\n  use Phoenix.LiveView\n  use Gettext, backend: TransportWeb.Gettext\n  alias TransportWeb.MarkdownHandler\n\n  def render(assigns) do\n    ~H\"\"\"\n    <%= unless @loading do %>\n      <%= unless @reuses == [] and !@fetch_reuses_error do %>\n        <section class=\"white pt-48\" id=\"dataset-reuses\">\n          <h2>{dgettext(\"page-dataset-details\", \"Reuses\")}</h2>\n          <p>\n            {dgettext(\n              \"page-dataset-details\",\n              \"You will find below reuses created by individuals or organizations based on this dataset.\"\n            )}\n          </p>\n          <%= if @fetch_reuses_error do %>\n            <div class=\"panel reuses_not_available\">\n              🔌 {dgettext(\"page-dataset-details\", \"Reuses are temporarily unavailable\")}\n            </div>\n          <% end %>\n          <div class=\"reuses\">\n            <%= for reuse <- @reuses do %>\n              <div class=\"panel reuse\">\n                <img src={reuse[\"image\"]} alt={reuse[\"title\"]} />\n                <div class=\"mt-12\">{Phoenix.HTML.raw(owner(reuse))}</div>\n                <div class=\"reuse__links\">\n                  <.link href={reuse[\"url\"]}>{dgettext(\"page-dataset-details\", \"Website\")}</.link>\n                  <.link href={reuse[\"page\"]} target=\"_blank\">\n                    {dgettext(\"page-dataset-details\", \"See on data.gouv.fr\")}\n                  </.link>\n                </div>\n                <div class=\"reuse__details\">\n                  <div>\n                    <h3>{reuse[\"title\"]}</h3>\n                    <p>{MarkdownHandler.markdown_to_safe_html!(reuse[\"description\"])}</p>\n                  </div>\n                </div>\n              </div>\n            <% end %>\n          </div>\n        </section>\n      <% end %>\n    <% end %>\n    \"\"\"\n  end\n\n  def mount(\n        _params,\n        %{\n          \"dataset_datagouv_id\" => dataset_datagouv_id,\n          \"locale\" => locale\n        },\n        socket\n      ) do\n    socket =\n      socket\n      |> assign(:dataset_datagouv_id, dataset_datagouv_id)\n      |> assign(:reuses, [])\n      |> assign(:fetch_reuses_error, false)\n      |> assign(:loading, true)\n\n    Gettext.put_locale(locale)\n\n    # async reuses loading\n    send(self(), {:fetch_data_gouv_reuses, dataset_datagouv_id})\n\n    {:ok, socket}\n  end\n\n  def owner(%{\"organization\" => %{\"name\" => name}}), do: ~s|<i class=\"fa fa-building icon\"></i>| <> name\n  def owner(%{\"owner\" => %{\"name\" => name}}), do: ~s|<i class=\"fa fa-user icon\"></i>| <> name\n\n  def handle_info({:fetch_data_gouv_reuses, dataset_datagouv_id}, socket) do\n    # in case data.gouv api is down, datasets pages should still be available on our site\n    %{reuses: reuses, fetch_reuses_error: fetch_reuses_error} =\n      case Datagouvfr.Client.Reuses.Wrapper.get(%{datagouv_id: dataset_datagouv_id}) do\n        {:ok, reuses} -> %{reuses: reuses, fetch_reuses_error: false}\n        _ -> %{reuses: [], fetch_reuses_error: true}\n      end\n\n    Phoenix.PubSub.broadcast(\n      TransportWeb.PubSub,\n      \"dataset_reuses_count:#{dataset_datagouv_id}\",\n      {:count, reuses |> length()}\n    )\n\n    socket =\n      socket\n      |> assign(:reuses, reuses)\n      |> assign(:fetch_reuses_error, fetch_reuses_error)\n      |> assign(:loading, false)\n\n    {:noreply, socket}\n  end\nend\n\ndefmodule TransportWeb.CountReusesLive do\n  use Phoenix.LiveView\n  use Gettext, backend: TransportWeb.Gettext\n\n  def render(assigns) do\n    ~H\"\"\"\n    <%= if assigns[:count] && @count > 0 do %>\n      <div class=\"menu-item\"><a href=\"#dataset-reuses\">{dgettext(\"page-dataset-details\", \"Reuses\")}</a></div>\n    <% end %>\n    \"\"\"\n  end\n\n  def mount(_, %{\"dataset_datagouv_id\" => dataset_datagouv_id, \"locale\" => locale}, socket) do\n    Gettext.put_locale(locale)\n\n    if connected?(socket) do\n      # messages are sent by TransportWeb.ReusesLive\n      Phoenix.PubSub.subscribe(TransportWeb.PubSub, \"dataset_reuses_count:#{dataset_datagouv_id}\")\n    end\n\n    {:ok, socket}\n  end\n\n  def handle_info({:count, count}, socket) do\n    socket = socket |> assign(:count, count)\n    {:noreply, socket}\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/send_now_on_nap_notification_view.ex",
    "content": "defmodule TransportWeb.Live.SendNowOnNAPNotificationView do\n  use Phoenix.LiveView\n  use Gettext, backend: TransportWeb.Gettext\n  require Logger\n\n  @button_disabled [:sending, :sent]\n\n  def render(assigns) do\n    ~H\"\"\"\n    <button :if={@display_button} class={@button_class} phx-click=\"dispatch_job\" disabled={@button_disabled}>\n      {@button_text}\n    </button>\n    \"\"\"\n  end\n\n  def mount(_params, %{\"dataset_id\" => dataset_id, \"locale\" => locale, \"sent_reasons\" => sent_reasons}, socket) do\n    Gettext.put_locale(locale)\n\n    new_socket =\n      socket\n      |> assign(:display_button, display_button?(dataset_id, sent_reasons))\n      |> assign(dataset_id: dataset_id)\n      |> assign_step(:first)\n\n    {:ok, new_socket}\n  end\n\n  defp display_button?(dataset_id, sent_reasons) do\n    dataset = DB.Repo.get!(DB.Dataset, dataset_id)\n    not_sent = Transport.NotificationReason.reason(:dataset_now_on_nap) not in sent_reasons\n    recently_added?(dataset) and not_sent\n  end\n\n  defp recently_added?(%DB.Dataset{inserted_at: nil}), do: false\n\n  defp recently_added?(%DB.Dataset{inserted_at: %DateTime{} = inserted_at}) do\n    DateTime.diff(inserted_at, DateTime.utc_now(), :day) >= -30\n  end\n\n  def handle_event(\"dispatch_job\", _value, socket) do\n    send(self(), {:dispatch, socket.assigns.dataset_id})\n    {:noreply, socket}\n  end\n\n  def handle_info({:dispatch, dataset_id}, socket) do\n    new_socket =\n      case %{dataset_id: dataset_id} |> Transport.Jobs.DatasetNowOnNAPNotificationJob.new() |> Oban.insert() do\n        {:ok, %Oban.Job{id: job_id}} ->\n          send(self(), {:wait_for_completion, job_id})\n          assign_step(socket, :sending)\n      end\n\n    {:noreply, new_socket}\n  end\n\n  def handle_info({:wait_for_completion, job_id}, socket) do\n    :ok = Oban.Notifier.listen([:gossip])\n\n    new_socket =\n      receive do\n        {:notification, :gossip, %{\"complete\" => ^job_id}} ->\n          socket |> assign_step(:sent)\n      end\n\n    Oban.Notifier.unlisten([:gossip])\n    {:noreply, new_socket}\n  end\n\n  defp assign_step(socket, step) do\n    assign(\n      socket,\n      button_text: button_texts(step),\n      button_class: button_classes(step),\n      button_disabled: step in @button_disabled\n    )\n  end\n\n  defp button_texts(step) do\n    Map.get(\n      %{\n        sent: dgettext(\"backoffice_dataset\", \"Sent\"),\n        sending: dgettext(\"backoffice_dataset\", \"Sending\")\n      },\n      step,\n      dgettext(\"backoffice_dataset\", \"Send welcome email to contacts\")\n    )\n  end\n\n  defp button_classes(step) do\n    Map.get(\n      %{\n        sent: \"button success\",\n        sending: \"button button-outlined secondary\"\n      },\n      step,\n      \"button\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/siri_querier_live.ex",
    "content": "defmodule TransportWeb.Live.SIRIQuerierLive do\n  use Phoenix.LiveView\n  use Phoenix.HTML, only: [text_input: 2]\n  import Transport.Http.Utils, only: [reencode_body_to_utf8: 2]\n  use Gettext, backend: TransportWeb.Gettext\n  import TransportWeb.Router.Helpers, only: [live_path: 3, static_path: 2]\n  import Unlock.GunzipTools, only: [maybe_gunzip: 2, lowercase_headers: 1]\n\n  require Logger\n\n  @request_headers [{\"content-type\", \"text/xml\"}]\n  @supported_url_parameters [\n    :endpoint_url,\n    :requestor_ref,\n    :query_template,\n    :stop_ref,\n    :line_refs\n  ]\n  @default_query_template \"CheckStatus\"\n  @supported_query_templates [\n    @default_query_template,\n    \"LinesDiscovery\",\n    \"StopPointsDiscovery\",\n    \"GetEstimatedTimetable\",\n    \"GetGeneralMessage\",\n    \"GetStopMonitoring\"\n  ]\n\n  def mount(_params, %{\"locale\" => locale} = _session, socket) do\n    Gettext.put_locale(locale)\n    {:ok, socket |> assign(base_assigns())}\n  end\n\n  def base_assigns do\n    %{\n      siri_request_headers: @request_headers,\n      siri_query: nil,\n      siri_response_status_code: nil,\n      siri_response_error: nil,\n      query_template: @default_query_template,\n      query_template_choices: @supported_query_templates,\n      line_refs: \"\",\n      stop_ref: \"\"\n    }\n  end\n\n  @doc \"\"\"\n  Given a map with string keys, extract a map with atom keys with only the supported parameters.\n  \"\"\"\n  def extract_allowed_parameters(params) do\n    output = Map.new(@supported_url_parameters, fn p -> {p, params[Atom.to_string(p)]} end)\n    # allow-list for QueryTemplate\n    if output[:query_template] in @supported_query_templates do\n      output\n    else\n      output |> Map.replace!(:query_template, @default_query_template)\n    end\n  end\n\n  # called at mount to hydrate our assigns based on supported url parameters\n  def handle_params(params, _uri, socket) do\n    {:noreply,\n     socket\n     |> assign(extract_allowed_parameters(params))}\n  end\n\n  def handle_event(\"ignore\", _params, socket), do: {:noreply, socket}\n\n  def handle_event(\"generate_query\", _params, socket) do\n    {:noreply,\n     socket\n     |> assign(%{\n       siri_query: generate_query(socket),\n       siri_response_status_code: nil,\n       siri_response_error: nil\n     })}\n  end\n\n  def handle_event(\"execute_query\", _params, socket) do\n    client = Transport.Shared.Wrapper.HTTPoison.impl()\n    socket = socket |> assign(:siri_query, generate_query(socket))\n    # Improvement opportunity: make sure to set proper limits to avoid DOS?\n    socket =\n      case client.post(\n             socket.assigns[:endpoint_url],\n             socket.assigns[:siri_query],\n             @request_headers,\n             recv_timeout: 5_000\n           ) do\n        {:ok, %HTTPoison.Response{} = response} ->\n          # LiveView does not allow binary payloads. We can work-around that by using Base64, or using a custom channel.\n          # Unzip and reencode the response body if needed.\n          # We do not make any attempt to modify the XML prolog\n          # (e.g. `<?xml version=\"1.0\" encoding=\"UTF-8\"?>`) to match the target encoding.\n          # If the prolog is sent on some payloads, we may need to \"string replace\"\n          # that part too.\n          headers = lowercase_headers(response.headers)\n          response_body = response.body |> maybe_gunzip(headers) |> reencode_body_to_utf8(headers)\n\n          socket\n          |> assign(%{\n            siri_response_error: nil,\n            siri_response_body: response_body,\n            siri_response_status_code: response.status_code,\n            siri_response_headers: response.headers\n          })\n\n        {:error, %HTTPoison.Error{reason: reason}} ->\n          socket |> assign(siri_response_error: inspect(reason), siri_response_status_code: nil)\n      end\n\n    {:noreply, socket}\n  end\n\n  def handle_event(\"change_form\", params, socket) do\n    socket =\n      socket\n      |> assign(extract_allowed_parameters(params[\"config\"]))\n\n    {:noreply, socket |> push_patch(to: self_path(socket))}\n  end\n\n  @doc \"\"\"\n  Recreate a proper url with all supported parameters, and tell LiveView\n  to set it in the browser, in order to make it easy to copy-paste the current state.\n  \"\"\"\n  def self_path(socket) do\n    params =\n      Enum.reduce(@supported_url_parameters, [], fn param, acc ->\n        value = socket.assigns[param]\n        # NOTE: not using Keyword functions because they do not guarantee\n        # order, and it makes the `assert_patched` test brittle at the moment\n        if value in [\"\", nil], do: acc, else: acc ++ [{param, value}]\n      end)\n\n    live_path(socket, __MODULE__, params)\n  end\n\n  def build_timestamp, do: DateTime.utc_now() |> DateTime.to_iso8601()\n  def build_message_id, do: \"Test::Message::#{Ecto.UUID.generate()}\"\n\n  defp generate_query(%Phoenix.LiveView.Socket{assigns: assigns}) do\n    query_generator = Transport.SIRIQueryGenerator.impl()\n\n    line_refs =\n      if assigns[:line_refs] do\n        assigns[:line_refs] |> String.split(\",\") |> Enum.map(&String.trim(&1))\n      else\n        nil\n      end\n\n    stop_ref =\n      if assigns[:stop_ref] do\n        assigns[:stop_ref] |> String.trim()\n      else\n        nil\n      end\n\n    params = %{\n      template: assigns[:query_template],\n      requestor_ref: assigns[:requestor_ref],\n      message_id: build_message_id(),\n      timestamp: build_timestamp(),\n      line_refs: line_refs,\n      stop_ref: stop_ref\n    }\n\n    query_generator.generate_query(params)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/siri_querier_live.html.heex",
    "content": "<section class=\"pb-48\">\n  <div class=\"container\">\n    <h2>{dgettext(\"explore\", \"SIRI query generator\")}</h2>\n    <.form :let={f} id=\"siri_querier\" for={%{}} as={:config} phx-change=\"change_form\" phx-submit=\"ignore\">\n      <div>\n        {text_input(f, :endpoint_url,\n          value: @endpoint_url,\n          placeholder: dgettext(\"explore\", \"Endpoint URL\"),\n          type: \"url\",\n          required: true\n        )}\n        {text_input(f, :requestor_ref,\n          value: @requestor_ref,\n          placeholder: dgettext(\"explore\", \"Requestor ref\"),\n          autocomplete: \"off\",\n          spellcheck: \"false\",\n          required: true\n        )}\n        {select(f, :query_template, @query_template_choices, selected: @query_template)}\n        <%= if @query_template == \"GetEstimatedTimetable\" do %>\n          {text_input(f, :line_refs,\n            value: @line_refs,\n            placeholder: dgettext(\"explore\", \"Line References (comma separated list)\"),\n            spellcheck: false,\n            required: true\n          )}\n        <% end %>\n        <%= if @query_template == \"GetStopMonitoring\" do %>\n          {text_input(f, :stop_ref,\n            value: @stop_ref,\n            placeholder: dgettext(\"explore\", \"Stop Reference (only one)\"),\n            spellcheck: false,\n            required: true\n          )}\n        <% end %>\n      </div>\n      <button class=\"button\" phx-click=\"generate_query\">{dgettext(\"explore\", \"Generate\")}</button>\n      <button\n        :if={[@siri_query, @endpoint_url, @requestor_ref] |> Enum.filter(&(&1 in [\"\", nil])) |> Enum.empty?()}\n        class=\"button\"\n        phx-click=\"execute_query\"\n      >\n        {dgettext(\"explore\", \"Execute\")}\n      </button>\n    </.form>\n    <div :if={@siri_query} class=\"siri_xml\">\n      <h4>{dgettext(\"explore\", \"SIRI query\")}</h4>\n      <h5>{dgettext(\"explore\", \"HTTP headers\")}</h5>\n      <pre>\n        <%= for {header, value} <- @siri_request_headers |> Enum.sort_by(fn {k, _} -> k end) do %>\n          <%= header %>: <%= value %><br>\n        <% end %>\n        </pre>\n      <input\n        type=\"hidden\"\n        value={@siri_query}\n        data-code=\"query_code_id\"\n        id=\"siri_query_wrapper\"\n        phx-hook=\"SyntaxColoring\"\n      />\n      <div id=\"query_code_wrapper\" phx-update=\"ignore\">\n        <h5>{dgettext(\"explore\", \"HTTP request body\")}</h5>\n        <pre><code class=\"language-xml\" id=\"query_code_id\"></code></pre>\n      </div>\n      <button class=\"button\" data-clipboard-target=\"#query_code_wrapper\">\n        <i class=\"fa fa-copy\"></i>\n        {dgettext(\"page-dataset-details\", \"Copy to clipboard\")}\n      </button>\n    </div>\n    <div :if={@siri_response_status_code} class=\"mt-48 siri_xml\">\n      <h4>{dgettext(\"explore\", \"SIRI response\")} (HTTP status {@siri_response_status_code})</h4>\n      <input\n        type=\"hidden\"\n        value={@siri_response_body}\n        data-code=\"response_code_id\"\n        id=\"siri_response_wrapper\"\n        phx-hook=\"SyntaxColoring\"\n      />\n      <div :if={@siri_response_headers}>\n        <h5>{dgettext(\"explore\", \"HTTP headers\")}</h5>\n        <pre>\n        <%= for {header, value} <- @siri_response_headers |> Enum.sort_by(fn {k, _} -> k end) do %>\n          <%= header %>: <%= value %><br>\n        <% end %>\n        </pre>\n      </div>\n      <div id=\"response_code_wrapper\" phx-update=\"ignore\">\n        <h5>{dgettext(\"explore\", \"HTTP response body\")}</h5>\n        <pre><code class=\"language-xml\" id=\"response_code_id\"></code></pre>\n      </div>\n      <button class=\"button\" data-clipboard-target=\"#response_code_wrapper\">\n        <i class=\"fa fa-copy\"></i>\n        {dgettext(\"page-dataset-details\", \"Copy to clipboard\")}\n      </button>\n    </div>\n    <div :if={@siri_response_error} id=\"siri_response_error\" class=\"notification error full-width mt-48\">\n      <p lang=\"en\">{@siri_response_error}</p>\n    </div>\n  </div>\n</section>\n<script defer type=\"text/javascript\" src={static_path(@socket, \"/js/clipboard.js\")} />\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/start_consolidate_job_view.ex",
    "content": "defmodule TransportWeb.Live.SendConsolidateJobView do\n  # Very similar to `TransportWeb.Live.SendNowOnNAPNotificationView`\n  use Phoenix.LiveView\n  @button_disabled [:dispatched, :sent]\n\n  def render(assigns) do\n    ~H\"\"\"\n    <button class={@button_class} phx-click=\"dispatch_job\" disabled={@button_disabled}>\n      {@button_text}\n    </button>\n    \"\"\"\n  end\n\n  def mount(\n        _params,\n        %{\n          \"button_texts\" => button_texts,\n          \"button_default_class\" => button_default_class,\n          \"job_module\" => job_module,\n          \"job_args\" => job_args\n        },\n        socket\n      ) do\n    socket =\n      socket\n      |> assign(\n        button_texts: button_texts,\n        button_default_class: button_default_class,\n        job_module: job_module,\n        job_args: job_args\n      )\n      |> assign_step(:first)\n\n    {:ok, socket}\n  end\n\n  def handle_event(\"dispatch_job\", _value, socket) do\n    send(self(), :dispatch)\n    {:noreply, socket}\n  end\n\n  def handle_info(:dispatch, %Phoenix.LiveView.Socket{assigns: %{job_args: job_args, job_module: job_module}} = socket) do\n    new_socket =\n      case job_args |> job_module.new() |> Oban.insert() do\n        {:ok, %Oban.Job{id: job_id}} ->\n          send(self(), {:wait_for_completion, job_id})\n          assign_step(socket, :dispatched)\n      end\n\n    {:noreply, new_socket}\n  end\n\n  def handle_info({:wait_for_completion, job_id}, socket) do\n    :ok = Oban.Notifier.listen([:gossip])\n\n    new_socket =\n      receive do\n        {:notification, :gossip, %{\"complete\" => ^job_id}} ->\n          socket |> assign_step(:sent)\n      end\n\n    Oban.Notifier.unlisten([:gossip])\n    # Go back to the first state after 60s to let the end user consolidate again if they wish\n    Process.send_after(self(), :reset, :timer.seconds(60))\n    {:noreply, new_socket}\n  end\n\n  def handle_info(:reset, socket) do\n    {:noreply, socket |> assign_step(:first)}\n  end\n\n  defp assign_step(%Phoenix.LiveView.Socket{} = socket, step) do\n    assign(\n      socket,\n      button_text: button_texts(socket, step),\n      button_class: button_classes(socket, step),\n      button_disabled: step in @button_disabled\n    )\n  end\n\n  defp button_texts(%Phoenix.LiveView.Socket{assigns: %{button_texts: button_texts}}, step) do\n    Map.get(\n      button_texts,\n      step,\n      Map.fetch!(button_texts, :default)\n    )\n  end\n\n  defp button_classes(%Phoenix.LiveView.Socket{assigns: %{button_default_class: button_default_class}}, step) do\n    Map.get(\n      %{\n        sent: \"button success\",\n        dispatched: \"button button-outlined secondary\"\n      },\n      step,\n      button_default_class\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/user_space_datasets_live.ex",
    "content": "defmodule TransportWeb.Live.UserSpaceDatasetsLive do\n  @moduledoc \"\"\"\n  Display datasets on the producer and reuser space.\n  \"\"\"\n  use Phoenix.LiveView\n  use TransportWeb.InputHelpers\n  import Ecto.Query\n  import TransportWeb.DatasetView, only: [icon_type_path: 1]\n  use Gettext, backend: TransportWeb.Gettext\n  import TransportWeb.InputHelpers\n  import TransportWeb.Router.Helpers\n\n  @impl true\n  def render(assigns) do\n    ~H\"\"\"\n    <div class=\"pb-24\">\n      <.form :let={f} for={%{}} phx-change=\"change\" class=\"search-followed-datasets\">\n        {search_input(f, :search, value: @search)}\n        <%= if Enum.count(@select_options) > 1 do %>\n          {select(f, :type, [{dgettext(\"reuser-space\", \"All\"), \"\"}] ++ @select_options,\n            selected: @type,\n            label: dgettext(\"reuser-space\", \"Data type\")\n          )}\n        <% end %>\n      </.form>\n    </div>\n    <div :if={Enum.empty?(@filtered_datasets)} class=\"notification\">\n      {dgettext(\"reuser-space\", \"No results\")}\n    </div>\n    <div :if={not Enum.empty?(@filtered_datasets)} class=\"row\">\n      <%= for dataset <- Enum.sort_by(@filtered_datasets, & &1.custom_title) do %>\n        <div class=\"panel dataset__panel\">\n          <div class=\"panel__content\">\n            <div class=\"dataset__description\">\n              <div class=\"dataset__image\">\n                {img_tag(DB.Dataset.logo(dataset), alt: dataset.custom_title)}\n              </div>\n              <div class=\"dataset__infos\">\n                <h3 class=\"dataset__title\">\n                  <a href={dataset_path(@socket, :details, dataset.slug)} target=\"_blank\">\n                    <i class=\"fa fa-external-link-alt\" aria-hidden=\"true\"></i>\n                    {dataset.custom_title}\n                  </a>\n                </h3>\n                <div class=\"dataset-localization\">\n                  <i class=\"icon fa fa-map-marker-alt\" />{DB.Dataset.get_covered_area_or_nil(dataset)}\n                </div>\n              </div>\n            </div>\n            <div :if={not is_nil(icon_type_path(dataset))} class=\"dataset__type\">\n              {img_tag(icon_type_path(dataset), alt: dataset.type)}\n            </div>\n          </div>\n          <div class=\"panel__extra\">\n            <div class=\"dataset__info\">\n              <div class=\"shortlist__notices\">\n                <dl class=\"dataset-format shortlist__notice\">\n                  <%= unless dataset |> DB.Dataset.formats() |> Enum.empty?() do %>\n                    <dt class=\"shortlist__label\">{dgettext(\"page-shortlist\", \"Format\")}</dt>\n                    <%= for format <- DB.Dataset.formats(dataset) do %>\n                      <dd class=\"label\">{format}</dd>\n                    <% end %>\n                  <% end %>\n                </dl>\n              </div>\n            </div>\n          </div>\n          <div class=\"panel__content\"></div>\n          <div class=\"panel__extra\">\n            <% {link, text} =\n              if @mode == :producer do\n                {espace_producteur_path(@socket, :edit_dataset, dataset.id), dgettext(\"espace-producteurs\", \"Manage\")}\n              else\n                {reuser_space_path(@socket, :datasets_edit, dataset.id), dgettext(\"reuser-space\", \"Preferences\")}\n              end %>\n            <a href={link} class=\"no-bg\">\n              <button class=\"button primary small\">{text}</button>\n            </a>\n          </div>\n        </div>\n      <% end %>\n    </div>\n    <script nonce={@nonce}>\n      [form] = document.getElementsByClassName(\"search-followed-datasets\");\n      form.onkeydown = function(event) {\n        if (event.key === \"Enter\") return false;\n      }\n    </script>\n    \"\"\"\n  end\n\n  @impl true\n  def mount(\n        _params,\n        %{\"dataset_ids\" => dataset_ids, \"locale\" => locale, \"csp_nonce_value\" => nonce, \"mode\" => mode},\n        %Phoenix.LiveView.Socket{} = socket\n      ) do\n    Gettext.put_locale(locale)\n\n    datasets =\n      DB.Dataset.base_query()\n      |> preload([:declarative_spatial_areas, :resources])\n      |> where([dataset: d], d.id in ^dataset_ids)\n      |> DB.Repo.all()\n\n    socket =\n      assign(socket, %{\n        nonce: nonce,\n        mode: mode,\n        datasets: datasets,\n        filtered_datasets: datasets,\n        select_options: select_options(datasets),\n        search: \"\",\n        type: \"\"\n      })\n\n    {:ok, socket}\n  end\n\n  defp select_options(datasets) do\n    datasets\n    |> Enum.map(fn %DB.Dataset{type: type} -> type end)\n    |> Enum.uniq()\n    |> Enum.map(fn type -> {DB.Dataset.type_to_str(type), type} end)\n    |> Enum.sort_by(fn {friendly_type, _} -> friendly_type end)\n  end\n\n  @impl true\n  def handle_event(\"change\", params, %Phoenix.LiveView.Socket{} = socket) do\n    {:noreply, filter_datasets(socket, params)}\n  end\n\n  def filter_datasets(\n        %Phoenix.LiveView.Socket{assigns: %{datasets: datasets}} = socket,\n        %{\"search\" => search} = params\n      ) do\n    type = Map.get(params, \"type\", \"\")\n    filtered_datasets = datasets |> filter_by_type(type) |> filter_by_search(search)\n\n    socket |> assign(%{filtered_datasets: filtered_datasets, search: search, type: type})\n  end\n\n  defp filter_by_type(datasets, \"\"), do: datasets\n\n  defp filter_by_type(datasets, value),\n    do: Enum.filter(datasets, fn %DB.Dataset{type: type} -> type == value end)\n\n  defp filter_by_search(datasets, \"\"), do: datasets\n\n  defp filter_by_search(datasets, value) do\n    Enum.filter(datasets, fn %DB.Dataset{custom_title: custom_title} ->\n      String.contains?(normalize(custom_title), normalize(value))\n    end)\n  end\n\n  @doc \"\"\"\n  iex> normalize(\"Paris\")\n  \"paris\"\n  iex> normalize(\"vélo\")\n  \"velo\"\n  iex> normalize(\"Châteauroux\")\n  \"chateauroux\"\n  \"\"\"\n  def normalize(value) do\n    value |> String.normalize(:nfd) |> String.replace(~r/[^A-z]/u, \"\") |> String.downcase()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/validate_dataset_view.ex",
    "content": "defmodule TransportWeb.Live.ValidateDatasetView do\n  use Phoenix.LiveView\n  alias DB.Dataset\n  use Gettext, backend: TransportWeb.Gettext\n  require Logger\n\n  @button_disabled [:validated, :validating]\n\n  def render(assigns) do\n    ~H\"\"\"\n    <button class={@button_class} phx-click=\"validate_dataset\" disabled={@button_disabled}>\n      {@button_text}\n    </button>\n    \"\"\"\n  end\n\n  def mount(_params, %{\"dataset_id\" => dataset_id, \"locale\" => locale}, socket) do\n    Gettext.put_locale(locale)\n\n    new_socket =\n      socket\n      |> assign(dataset_id: dataset_id)\n      |> assign_step(:first)\n\n    {:ok, new_socket}\n  end\n\n  def handle_event(\"validate_dataset\", _value, socket) do\n    send(self(), {:validate, socket.assigns.dataset_id})\n\n    {:noreply, assign_step(socket, :validating)}\n  end\n\n  def handle_info({:validate, dataset_id}, socket) do\n    new_socket =\n      case Dataset.validate(dataset_id, force_validation: true) do\n        {:ok, _} ->\n          assign_step(socket, :validated)\n      end\n\n    Process.send_after(self(), :display_form, 30_000)\n    {:noreply, new_socket}\n  end\n\n  def handle_info(:display_form, socket) do\n    {:noreply, assign_step(socket, :display_form)}\n  end\n\n  defp assign_step(socket, step) do\n    assign(\n      socket,\n      button_text: button_texts(step),\n      button_class: button_classes(step),\n      button_disabled: step in @button_disabled\n    )\n  end\n\n  defp button_texts(step) do\n    Map.get(\n      %{\n        validated: dgettext(\"backoffice_dataset\", \"Validated\"),\n        validating: dgettext(\"backoffice_dataset\", \"Validating\")\n      },\n      step,\n      dgettext(\"backoffice_dataset\", \"Validate\")\n    )\n  end\n\n  defp button_classes(step) do\n    Map.get(\n      %{\n        validated: \"button success\",\n        validating: \"button button-outlined secondary\"\n      },\n      step,\n      \"button\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/live/validate_resource_live.ex",
    "content": "defmodule TransportWeb.Live.ValidateResourceLive do\n  @moduledoc \"\"\"\n  A LiveView component for on-demand validation of GTFS files.\n\n  This module provides an interactive interface for users to upload a `.zip` file,\n  monitor its upload progress, and receive real-time feedback on its validity\n  based on transit industry standards.\n\n  ## Features\n\n  * **Drag-and-Drop Upload**: Supports file selection via a styled drop zone using `Phoenix.LiveView.allow_upload/3`.\n  * **Async Processing**: Upon successful upload, files are streamed to S3 and a background validation job (via Oban) is dispatched.\n  * **Real-time Status Polling**: Uses `handle_info/2` to poll the database for updates on the `MultiValidation` state, switching from a loading spinner to a result report once completed.\n  * **Validation Reporting**: Displays high-level status (Success/Error) and provides a link to a detailed validation report, including metadata like feed validity periods.\n\n  ## Workflow\n\n  1.  **Mount**: Initializes the upload configuration and resets the state.\n  2.  **Upload**: User drops a file. `handle_progress/3` triggers once the upload is `done?`.\n  3.  **Job Dispatch**: The file is stored on S3, a `DB.MultiValidation` record is created with a `waiting` state, and an `OnDemandValidationJob` is queued.\n  4.  **Polling**: The view enters a polling loop (every 1 second) until the background job updates the state to `completed`.\n  5.  **Result**: The UI displays the validation outcome. Users can click \"Start again\" to reset the process.\n\n  ## Internal State\n\n  * `@show_upload`: Boolean. Toggles between the upload form and the validation result/loader.\n  * `@multi_validation`: The `%DB.MultiValidation{}` struct tracking the job status and errors.\n  * `@uploaded_filename`: The original name of the client-side file.\n  * `@uploaded_path`: The temporary path of the file on the server.\n  \"\"\"\n  use Phoenix.LiveView\n  use TransportWeb.InputHelpers\n  use Gettext, backend: TransportWeb.Gettext\n  import TransportWeb.InputHelpers\n  import TransportWeb.Router.Helpers\n\n  @hide_file_upload_formats [\"gbfs\", \"gtfs-rt\"]\n  @file_validation_enabled_formats [\"GTFS\", \"NeTEx\"]\n  @url_validation_enabled_formats [\"GTFS\", \"NeTEx\"]\n\n  @changeset_types %{\n    title: :string,\n    format: :string,\n    url: :string\n  }\n\n  @impl Phoenix.LiveView\n  def render(assigns) do\n    ~H\"\"\"\n    <%= form_for @changeset, @action_path, [multipart: true, as: :form, phx_change: \"change\"], fn f -> %>\n      {text_input(f, :title,\n        label: dgettext(\"espace-producteurs\", \"title\"),\n        placeholder: dgettext(\"espace-producteurs\", \"Example: Paris GTFS dataset\"),\n        required: true\n      )}\n      {select(f, :format, @formats, label: dgettext(\"espace-producteurs\", \"Format\"), required: true)}\n      <div class=\"pt-24\">\n        <%= if @new_resource do %>\n          <%= if file_validation_enabled?(changeset_value(@changeset, :format)) do %>\n            <.interactive_validation_upload\n              socket={@socket}\n              locale={@locale}\n              show_upload={@show_upload}\n              uploads={@uploads}\n              multi_validation={@multi_validation}\n              uploaded_filename={@uploaded_filename}\n              uploaded_path={@uploaded_path}\n            />\n          <% else %>\n            <.upload_file :if={display_file_upload?(@changeset)} datagouv_resource={@datagouv_resource} f={f} />\n          <% end %>\n          <div :if={display_file_upload?(@changeset)} class=\"choose-or\">\n            - {dgettext(\"espace-producteurs\", \"or\")} -\n          </div>\n          <.specify_url\n            datagouv_resource={@datagouv_resource}\n            f={f}\n            format={changeset_value(@changeset, :format)}\n            url={changeset_value(@changeset, :url)}\n            multi_validation={@multi_validation}\n            locale={@locale}\n            uploaded_filename={@uploaded_filename}\n            socket={@socket}\n          />\n          <div class=\"choose-submit pt-24\">\n            {submit(dgettext(\"espace-producteurs\", \"Add the resource\"), class: \"button primary\")}\n          </div>\n        <% else %>\n          <%= if TransportWeb.EspaceProducteurView.remote?(@datagouv_resource) do %>\n            <.specify_url\n              datagouv_resource={@datagouv_resource}\n              f={f}\n              format={changeset_value(@changeset, :format)}\n              url={changeset_value(@changeset, :url)}\n              multi_validation={@multi_validation}\n              locale={@locale}\n              uploaded_filename={@uploaded_filename}\n              socket={@socket}\n            />\n          <% else %>\n            <%= if file_validation_enabled?(changeset_value(@changeset, :format)) do %>\n              <.interactive_validation_upload\n                socket={@socket}\n                locale={@locale}\n                show_upload={@show_upload}\n                uploads={@uploads}\n                multi_validation={@multi_validation}\n                uploaded_filename={@uploaded_filename}\n                uploaded_path={@uploaded_path}\n              />\n            <% else %>\n              <.upload_file :if={display_file_upload?(@changeset)} datagouv_resource={@datagouv_resource} f={f} />\n            <% end %>\n          <% end %>\n          <div class=\"choose-submit pt-24\">\n            {submit(dgettext(\"espace-producteurs\", \"Update the resource\"), class: \"button primary\")}\n          </div>\n        <% end %>\n      </div>\n    <% end %>\n    \"\"\"\n  end\n\n  defp interactive_validation_upload(%{} = assigns) do\n    ~H\"\"\"\n    <div :if={@show_upload}>\n      <div id=\"gtfs-diff-input\" phx-drop-target={@uploads.zip.ref}>\n        <div id=\"upload-form\" class=\"pb-12\" phx-change=\"validate\">\n          <.upload_drop_zone uploads={@uploads} />\n        </div>\n      </div>\n\n      <section phx-drop-target={@uploads.zip.ref}>\n        <article :for={entry <- @uploads.zip.entries} class=\"upload-entry\">\n          <div class=\"entry-name\">\n            <.icon :if={entry.valid?} class=\"fa fa-square-check\" title={dgettext(\"gtfs-diff\", \"Valid file\")} />\n            <.icon :if={not entry.valid?} class=\"fa fa-square-xmark\" title={dgettext(\"gtfs-diff\", \"Invalid file\")} />\n            {entry.client_name}\n          </div>\n          <div class=\"progress-bar\">\n            <progress value={entry.progress} max=\"100\">{entry.progress}%</progress>\n            <button\n              type=\"button\"\n              phx-click=\"cancel-upload\"\n              phx-value-ref={entry.ref}\n              title={dgettext(\"gtfs-diff\", \"Cancel upload or remove file\")}\n              aria-label={dgettext(\"gtfs-diff\", \"Cancel upload or remove file\")}\n            >\n              <i class=\"fa fa-xmark\"></i>\n            </button>\n          </div>\n        </article>\n      </section>\n    </div>\n    <.validation_report\n      :if={@uploaded_filename}\n      multi_validation={@multi_validation}\n      locale={@locale}\n      uploaded_filename={@uploaded_filename}\n      socket={@socket}\n    />\n    <input :if={@uploaded_filename} type=\"hidden\" name=\"resource_file[filename]\" value={@uploaded_filename} />\n    <input :if={@uploaded_path} type=\"hidden\" name=\"resource_file[path]\" value={@uploaded_path} />\n    \"\"\"\n  end\n\n  defp validation_report(%{} = assigns) do\n    ~H\"\"\"\n    <div :if={@multi_validation}>\n      <p :if={@uploaded_filename}>\n        {Phoenix.HTML.raw(dgettext(\"espace-producteurs\", \"File: <strong>%{name}</strong>\", name: @uploaded_filename))}\n      </p>\n      <.validation_status multi_validation={@multi_validation} locale={@locale} />\n      <a\n        class=\"button-outline primary small mt-12\"\n        target=\"_blank\"\n        href={validation_path(@socket, :show, @multi_validation.id, token: @multi_validation.oban_args[\"secret_url_token\"])}\n      >\n        <i class=\"icon fa fa-pen-to-square\"></i>{dgettext(\"espace-producteurs\", \"See the validation report\")}\n      </a>\n    </div>\n    \"\"\"\n  end\n\n  defp upload_file(%{f: _, datagouv_resource: _} = assigns) do\n    ~H\"\"\"\n    <div>\n      {dgettext(\"espace-producteurs\", \"Upload a file\")}\n      <%= unless is_nil(@datagouv_resource[\"url\"]) do %>\n        <p>\n          {dgettext(\"espace-producteurs\", \"Current file: %{current_file}\",\n            current_file: Path.basename(@datagouv_resource[\"url\"])\n          )}\n        </p>\n      <% end %>\n      {file_input(@f, :resource_file)}\n    </div>\n    \"\"\"\n  end\n\n  defp specify_url(%{} = assigns) do\n    ~H\"\"\"\n    <div>\n      {dgettext(\"espace-producteurs\", \"Give a link for the resource\")}\n      {text_input(\n        @f,\n        :url,\n        placeholder: \"https://data.ville.fr/gtfs.zip\",\n        type: \"url\"\n      )}\n    </div>\n    <a\n      :if={display_url_validation?(@format) and is_nil(@multi_validation) and valid_url?(@url)}\n      class=\"button-outline primary small mt-12\"\n      phx-click=\"start-validation\"\n      phx-value-url={@url}\n      phx-value-format={@format}\n    >\n      <i class=\"icon fa fa-check\"></i>{dgettext(\"espace-producteurs\", \"Start the validation\")}\n    </a>\n    <.validation_report\n      :if={valid_url?(@url)}\n      multi_validation={@multi_validation}\n      locale={@locale}\n      uploaded_filename={@uploaded_filename}\n      socket={@socket}\n    />\n    \"\"\"\n  end\n\n  defp upload_drop_zone(%{uploads: _} = assigns) do\n    ~H\"\"\"\n    <div class=\"drop-zone section-grey\">\n      <label for={@uploads.zip.ref}>\n        <i class=\"fa fa-upload\" aria-hidden=\"true\"></i>\n        <span>\n          {dgettext(\"espace-producteurs\", \"Drop your file here or click to browse your local drive\")}\n        </span>\n      </label>\n      <.live_file_input upload={@uploads.zip} />\n    </div>\n    \"\"\"\n  end\n\n  defp icon(%{title: _, class: _} = assigns) do\n    ~H\"\"\"\n    <i class={@class} title={@title} aria-label={@title}></i>\n    \"\"\"\n  end\n\n  defp validation_status(\n         %{multi_validation: %DB.MultiValidation{oban_args: %{\"state\" => \"completed\"}, max_error: max_error}} = assigns\n       )\n       when max_error in [\"Warning\", \"Information\", \"NoError\"] do\n    ~H\"\"\"\n    <p class=\"notification success\">\n      {dgettext(\"espace-producteurs\", \"No errors\")}\n    </p>\n    <TransportWeb.DatasetView.validity_dates multi_validation={@multi_validation} locale={@locale} />\n    \"\"\"\n  end\n\n  defp validation_status(\n         %{multi_validation: %DB.MultiValidation{oban_args: %{\"state\" => \"completed\"}, max_error: max_error}} = assigns\n       )\n       when max_error in [\"Fatal\", \"Error\"] do\n    ~H\"\"\"\n    <p class=\"notification error\">\n      {dgettext(\"espace-producteurs\", \"Invalid file\")}\n    </p>\n    <a phx-click=\"start_again\" class=\"button-outline warning small mr-24\">\n      <i class=\"icon fa fa-rotate\"></i>\n      {dgettext(\"espace-producteurs\", \"Start again\")}\n    </a>\n    \"\"\"\n  end\n\n  defp validation_status(%{} = assigns) do\n    ~H\"\"\"\n    <div class=\"loader_container\">\n      <div class=\"loader\"></div>\n    </div>\n    \"\"\"\n  end\n\n  @impl Phoenix.LiveView\n  def mount(\n        _params,\n        %{\n          \"locale\" => locale,\n          \"action_path\" => action_path,\n          \"datagouv_resource\" => datagouv_resource,\n          \"new_resource\" => new_resource,\n          \"resource\" => resource,\n          \"formats\" => formats\n        },\n        socket\n      ) do\n    {:ok,\n     socket\n     |> assign(%{\n       locale: locale,\n       action_path: action_path,\n       datagouv_resource: datagouv_resource,\n       new_resource: new_resource,\n       resource: resource,\n       formats: formats,\n       changeset: initialize_changeset(resource, formats)\n     })\n     |> reset_state()\n     |> allow_upload(:zip, accept: ~w(.zip), max_entries: 1, auto_upload: true, progress: &handle_progress/3)}\n  end\n\n  defp initialize_changeset(%DB.Resource{} = resource, _formats) do\n    Ecto.Changeset.cast({%{}, @changeset_types}, Map.from_struct(resource), Map.keys(@changeset_types))\n  end\n\n  defp initialize_changeset(_, formats) do\n    Ecto.Changeset.cast({%{}, @changeset_types}, %{format: List.first(formats)}, Map.keys(@changeset_types))\n  end\n\n  defp reset_state(socket) do\n    socket\n    |> assign(:show_upload, true)\n    |> assign(:multi_validation, nil)\n    |> assign(:uploaded_filename, nil)\n    |> assign(:uploaded_path, nil)\n  end\n\n  @impl Phoenix.LiveView\n  def handle_event(\"change\", %{\"form\" => form}, socket) do\n    {:noreply,\n     socket |> assign(:changeset, Ecto.Changeset.cast({%{}, @changeset_types}, form, Map.keys(@changeset_types)))}\n  end\n\n  def handle_event(\"start-validation\", %{\"url\" => url, \"format\" => format}, socket) do\n    multi_validation = create_multi_validation_for_url(url, format)\n    dispatch_validation_job(multi_validation)\n    schedule_next_update()\n    {:noreply, socket |> assign(:multi_validation, multi_validation)}\n  end\n\n  @impl Phoenix.LiveView\n  def handle_event(\"validate\", _params, socket) do\n    {:noreply, socket}\n  end\n\n  @impl Phoenix.LiveView\n  def handle_event(\"start_again\", _params, socket) do\n    {:noreply, socket |> reset_state()}\n  end\n\n  @impl Phoenix.LiveView\n  def handle_event(\"cancel-upload\", %{\"ref\" => ref}, socket) do\n    {:noreply, cancel_upload(socket, :zip, ref)}\n  end\n\n  defp handle_progress(:zip, entry, socket) do\n    if entry.done? do\n      [{multi_validation, path, client_name}] =\n        consume_uploaded_entries(socket, :zip, fn %{path: path},\n                                                  %Phoenix.LiveView.UploadEntry{client_name: client_name} ->\n          filename = Ecto.UUID.generate()\n          stream_to_s3(path, filename)\n\n          multi_validation =\n            create_multi_validation_for_file(filename, changeset_value(socket.assigns.changeset, :format))\n\n          dispatch_validation_job(multi_validation)\n\n          destination = System.tmp_dir!() |> Path.join(filename)\n          File.cp!(path, destination)\n\n          {:ok, {multi_validation, destination, client_name}}\n        end)\n\n      schedule_next_update()\n\n      {:noreply,\n       assign(socket, %{\n         multi_validation: multi_validation,\n         uploaded_path: path,\n         uploaded_filename: client_name,\n         show_upload: false\n       })}\n    else\n      {:noreply, socket}\n    end\n  end\n\n  @impl Phoenix.LiveView\n  def handle_info(:update_data, socket) do\n    multi_validation = DB.Repo.reload!(socket.assigns.multi_validation) |> DB.Repo.preload(:metadata)\n\n    if multi_validation.oban_args[\"state\"] == \"waiting\" do\n      schedule_next_update()\n    end\n\n    {:noreply, assign(socket, multi_validation: multi_validation)}\n  end\n\n  defp schedule_next_update do\n    Process.send_after(self(), :update_data, 1_000)\n  end\n\n  defp create_multi_validation_for_url(url, format) do\n    filename = Path.basename(url)\n\n    %DB.MultiValidation{\n      validator: \"on demand validation requested\",\n      validation_timestamp: DateTime.utc_now(),\n      oban_args: %{\n        \"type\" => String.downcase(format),\n        \"state\" => \"waiting\",\n        \"filename\" => filename,\n        \"permanent_url\" => url,\n        \"secret_url_token\" => Ecto.UUID.generate()\n      },\n      validated_data_name: filename\n    }\n    |> DB.Repo.insert!()\n  end\n\n  defp create_multi_validation_for_file(filename, format) do\n    %DB.MultiValidation{\n      validator: \"on demand validation requested\",\n      validation_timestamp: DateTime.utc_now(),\n      oban_args: %{\n        \"type\" => String.downcase(format),\n        \"state\" => \"waiting\",\n        \"filename\" => filename,\n        \"permanent_url\" => Transport.S3.permanent_url(:on_demand_validation, filename),\n        \"secret_url_token\" => Ecto.UUID.generate()\n      },\n      validated_data_name: filename\n    }\n    |> DB.Repo.insert!()\n  end\n\n  defp dispatch_validation_job(%DB.MultiValidation{id: id, oban_args: oban_args}) do\n    oban_args |> Map.merge(%{\"id\" => id}) |> Transport.Jobs.OnDemandValidationJob.new() |> Oban.insert!()\n  end\n\n  defp stream_to_s3(local_filepath, path) do\n    Transport.S3.stream_to_s3!(:on_demand_validation, local_filepath, path, acl: :public_read)\n  end\n\n  defp changeset_value(changeset, field) do\n    Ecto.Changeset.get_change(changeset, field)\n  end\n\n  defp file_validation_enabled?(format), do: format in @file_validation_enabled_formats\n  defp display_url_validation?(format), do: format in @url_validation_enabled_formats\n\n  defp display_file_upload?(changeset) do\n    changeset_value(changeset, :format) not in @hide_file_upload_formats\n  end\n\n  def valid_url?(nil), do: false\n\n  def valid_url?(string) do\n    uri = URI.parse(string)\n    uri.scheme in [\"http\", \"https\"] and uri.host != nil and String.contains?(uri.host, \".\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/plugs/custom_secure_browser_headers.ex",
    "content": "defmodule TransportWeb.Plugs.CustomSecureBrowserHeaders do\n  @moduledoc \"\"\"\n  Call the put_secure_browser_headers Plug and add some CSP headers\n  \"\"\"\n\n  def init(options), do: options\n\n  defp generate_nonce(size \\\\ 10), do: size |> :crypto.strong_rand_bytes() |> Base.url_encode64(padding: false)\n\n  def call(conn, _opts) do\n    nonce = generate_nonce()\n\n    csp_headers =\n      csp_headers(\n        Application.fetch_env!(:transport, :mix_env),\n        Application.fetch_env!(:transport, :app_env),\n        nonce\n      )\n\n    headers = Map.merge(csp_headers, %{\"x-frame-options\" => \"DENY\"})\n\n    conn\n    # used by the phoenix LivedDashboard to allow secure inlined CSS\n    |> Plug.Conn.assign(:csp_nonce_value, nonce)\n    |> Plug.Conn.put_session(:csp_nonce_value, nonce)\n    |> Phoenix.Controller.put_secure_browser_headers(headers)\n  end\n\n  @doc \"\"\"\n  Returns content-security-policy headers for an app environment.\n\n  iex> nonce = \"foo\"\n  iex> match?(%{\"content-security-policy\" => _csp_content}, csp_headers(:prod, :production, nonce))\n  true\n  iex> match?(%{\"content-security-policy\" => _csp_content}, csp_headers(:prod, :staging, nonce))\n  true\n  iex> csp_headers(:prod, :staging, nonce) != csp_headers(:prod, :production, nonce)\n  true\n  iex> String.contains?(\"report-uri\", csp_headers(:dev, :dev, nonce) |> Map.fetch!(\"content-security-policy\"))\n  false\n  \"\"\"\n  def csp_headers(mix_env, app_env, nonce) do\n    # https://github.com/vega/vega-embed/issues/1214#issuecomment-1670812445\n    vega_hash_values =\n      \"'sha256-9uoGUaZm3j6W7+Fh2wfvjI8P7zXcclRw5tVUu3qKZa0=' 'sha256-MmUum7+PiN7Rz79EUMm0OmUFWjCx6NZ97rdjoIbTnAg='\"\n\n    policy =\n      %{\n        \"default-src\" => \"'none'\",\n        \"connect-src\" => \"*\",\n        \"font-src\" => \"*\",\n        \"frame-ancestors\" => \"'none'\",\n        \"img-src\" => \"'self' https: data:\",\n        \"script-src\" =>\n          \"'self' 'unsafe-eval' 'unsafe-inline' https://stats.data.gouv.fr/matomo.js https://metabase.transport.data.gouv.fr/app/embed.js\",\n        \"frame-src\" => \"https://*.dailymotion.com http://metabase.transport.data.gouv.fr\",\n        \"style-src\" => \"'self' 'nonce-#{nonce}' #{vega_hash_values}\",\n        \"report-uri\" => \"\"\n      }\n      |> Enum.map(fn {directive, value} ->\n        extra = \" #{additional_content(directive, mix_env, app_env) |> String.trim()}\"\n        {directive, value <> extra}\n      end)\n      |> Enum.reject(fn {_, v} -> v == \"\" end)\n      |> Enum.map_join(\";\", fn {k, v} -> \"#{k} #{v}\" end)\n\n    %{\"content-security-policy\" => policy}\n  end\n\n  defp additional_content(\"img-src\", mix_env, app_env) do\n    if mix_env == :dev or app_env == :staging do\n      \"https://demo-static.data.gouv.fr https://demo.data.gouv.fr\"\n    else\n      \"\"\n    end\n  end\n\n  defp additional_content(\"frame-src\", mix_env, _app_env) do\n    if mix_env == :dev do\n      \"'self'\"\n    else\n      \"\"\n    end\n  end\n\n  defp additional_content(\"report-uri\", _mix_env, app_env) when app_env in [:production, :staging] do\n    Application.fetch_env!(:sentry, :csp_url)\n  end\n\n  defp additional_content(_directive, _mix_env, _app_env) do\n    \"\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/plugs/halt.ex",
    "content": "defmodule TransportWeb.Plugs.Halt do\n  @moduledoc \"\"\"\n    When the app runs on worker-only (Oban) mode, we still need a HTTP endpoint so that the hosting\n    provider monitoring can verify the app is up. In that case, though, we want to avoid serving the\n    routes we normally serve, as early as possible ; such is the purpose of this plug.\n  \"\"\"\n  import Plug.Conn\n\n  def init(options), do: options\n\n  def call(conn, opts) do\n    {mod, fun} = opts[:if]\n\n    if apply(mod, fun, []) do\n      conn\n      |> put_resp_content_type(\"text/plain\")\n      |> send_resp(200, opts[:message])\n      |> halt()\n    else\n      conn\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/plugs/head.ex",
    "content": "defmodule TransportWeb.Plugs.Head do\n  @moduledoc \"\"\"\n  A Plug to convert `HEAD` requests to `GET` requests but it remembers that\n  it was originally a `HEAD` request.\n\n  A fork from the original [Plug.Head](https://hexdocs.pm/plug/Plug.Head.html)\n  \"\"\"\n  @behaviour Plug\n\n  @impl true\n  def init([]), do: []\n\n  @impl true\n  def call(%Plug.Conn{method: \"HEAD\"} = conn, []) do\n    %{conn | method: \"GET\"} |> Plug.Conn.assign(:original_method, \"HEAD\")\n  end\n\n  def call(conn, []), do: conn\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/plugs/health_check.ex",
    "content": "defmodule TransportWeb.Plugs.HealthCheck do\n  @moduledoc \"\"\"\n    A lightweight monitoring check, running as a plug to make sure we can have it for both the site\n    and the worker instances.\n    The goal is to quickly verify if the database is up, leave some room for extra future checks,\n    and return 200/500 depending on the situation.\n  \"\"\"\n  import Plug.Conn\n\n  def init(options), do: options\n\n  def call(conn, opts) do\n    path = opts[:at]\n\n    cond do\n      conn.request_path == path ->\n        conn = fetch_query_params(conn)\n        {global_success, messages} = run_checks(conn.query_params)\n\n        status = if global_success, do: 200, else: 500\n\n        conn\n        |> put_resp_content_type(\"text/plain\")\n        |> send_resp(status, messages |> Enum.join(\"\\n\"))\n        |> halt()\n\n      conn.request_path == path <> \"/metrics\" ->\n        conn\n        |> put_resp_content_type(\"text/plain\")\n        |> send_resp(200, get_metrics() |> Enum.join(\"\\n\"))\n        |> halt()\n\n      true ->\n        conn\n    end\n  end\n\n  defp checks do\n    [\n      %{name: \"db\", check: &database_up?/0},\n      %{name: \"http\", check: fn -> true end}\n    ]\n  end\n\n  # experimental at the moment, in order to help\n  # get more insights at what's happening inside\n  # the worker container.\n  # see https://www.erlang.org/doc/man/memsup.html#get_system_memory_data-0\n  defp get_metrics do\n    :memsup.get_system_memory_data()\n    |> Enum.map(fn {k, v} -> \"#{k}: #{v} (#{Sizeable.filesize(v)})\" end)\n  end\n\n  @spec run_checks(map()) :: {boolean(), list()}\n  defp run_checks(params) do\n    checks()\n    |> Enum.reject(fn %{name: name} -> params[name] == \"0\" end)\n    |> Enum.map(fn %{name: name, check: cb} -> {name, cb.()} end)\n    |> Enum.reduce({true, []}, fn {check_name, check_success}, {global_success, messages} ->\n      {\n        global_success && check_success,\n        messages ++ [\"#{check_name}: \" <> if(check_success, do: \"OK\", else: \"KO\")]\n      }\n    end)\n  end\n\n  defp database_up? do\n    query = Ecto.Adapters.SQL.query!(DB.Repo, \"select 0\", [])\n    query.rows == [[0]]\n  rescue\n    _ in DBConnection.ConnectionError -> false\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/plugs/producer_data.ex",
    "content": "defmodule TransportWeb.Plugs.ProducerData do\n  @moduledoc \"\"\"\n  A Plug to fetch and assign dataset information and validation checks for authenticated producers.\n\n  This plug intercepts the connection and checks if the current user has \"producer\"\n  privileges. If they do, it retrieves the user's datasets and performs a series\n  of data integrity checks, caching the results during 30 minutes to optimize\n  performance.\n\n  ## Cache busting\n\n  Cached values are cleaned after 30 minutes or immediately when performing a\n  `POST` request within the Espace Producteur.\n\n  ## Assignments\n\n  This plug adds the following keys to `conn.assigns`:\n\n  * `:datasets_for_user` - A list of dataset records associated with the current user.\n  * `:datasets_checks` - The results of validation logic run against those datasets.\n  \"\"\"\n  import Plug.Conn\n\n  @cache_delay :timer.minutes(30)\n  @cache_name Transport.Cache.Cachex.cache_name()\n\n  def init(opts), do: opts\n\n  def call(%Plug.Conn{} = conn, _opts) do\n    if TransportWeb.Session.producer?(conn) do\n      conn |> datasets_for_user() |> datasets_checks()\n    else\n      conn\n    end\n  end\n\n  defp datasets_for_user(%Plug.Conn{assigns: %{current_user: %{\"id\" => user_id}}} = conn) do\n    cache_key = \"datasets_for_user::#{user_id}\"\n\n    datasets =\n      maybe_skip_cache(conn, cache_key, fn -> DB.Dataset.datasets_for_user(conn) end)\n      |> maybe_delete_if_error(cache_key)\n\n    assign(conn, :datasets_for_user, datasets)\n  end\n\n  defp datasets_checks(%Plug.Conn{assigns: %{datasets_for_user: datasets, current_user: %{\"id\" => user_id}}} = conn) do\n    cache_key = \"datasets_checks::#{user_id}\"\n\n    checks =\n      case datasets do\n        [%DB.Dataset{} | _] = datasets ->\n          datasets_checks(conn, cache_key, datasets)\n\n        _ ->\n          []\n      end\n\n    assign(conn, :datasets_checks, checks)\n  end\n\n  defp datasets_checks(conn, cache_key, datasets) do\n    maybe_skip_cache(conn, cache_key, fn ->\n      Enum.map(datasets, fn %DB.Dataset{} = dataset -> Transport.DatasetChecks.check(dataset, :producer) end)\n    end)\n  end\n\n  defp maybe_delete_if_error({:error, _} = value, cache_key) do\n    Cachex.del(@cache_name, cache_key)\n    value\n  end\n\n  defp maybe_delete_if_error(value, _cache_key), do: value\n\n  defp maybe_skip_cache(%Plug.Conn{method: method, request_path: request_path} = conn, cache_key, function) do\n    in_espace_producteur? =\n      String.starts_with?(request_path, TransportWeb.Router.Helpers.espace_producteur_path(conn, :espace_producteur))\n\n    skip_cache? = method in [\"PUT\", \"POST\", \"DELETE\"] and in_espace_producteur?\n\n    if skip_cache? do\n      Cachex.del(@cache_name, cache_key)\n      function.()\n    else\n      Transport.Cache.fetch(cache_key, function, @cache_delay)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/plugs/put_locale.ex",
    "content": "defmodule TransportWeb.Plugs.PutLocale do\n  @moduledoc \"\"\"\n  Set the locale according to: the `locale` query param, the session, the `accept-language` HTTP header.\n  \"\"\"\n  import Plug.Conn\n  @supported_locales [\"fr\", \"en\"]\n  @default_locale [\"fr\"]\n\n  def init(options), do: options\n\n  def call(conn, _opts) do\n    locale = conn.params[\"locale\"] || get_session(conn, :locale) || preferred_accept_language(conn)\n\n    if locale in @supported_locales do\n      Gettext.put_locale(locale)\n      maybe_save_locale_for_current_contact(conn, locale)\n      conn |> put_session(:locale, locale)\n    else\n      conn\n      |> put_resp_content_type(\"text/plain\")\n      |> send_resp(400, \"Locale is not supported.\")\n      |> halt()\n    end\n  end\n\n  def maybe_save_locale_for_current_contact(%Plug.Conn{assigns: %{current_contact: current_contact}}, locale) do\n    case current_contact do\n      %DB.Contact{} = contact -> contact |> Ecto.Changeset.change(%{locale: locale}) |> DB.Repo.update!()\n      _ -> :ok\n    end\n  end\n\n  def supported_locales, do: @supported_locales\n\n  @doc \"\"\"\n  Determines the locale to use using the `accept-language` HTTP header.\n  Fallbacks to the default locale if required.\n\n  iex> preferred_accept_language(%Plug.Conn{req_headers: [{\"accept-language\", \"fr-CH, fr;q=0.9, en;q=0.8, de;q=0.7, *;q=0.5\"}]})\n  \"fr\"\n  iex> preferred_accept_language(%Plug.Conn{req_headers: []})\n  \"fr\"\n  iex> preferred_accept_language(%Plug.Conn{req_headers: [{\"accept-language\", \"ru;q=0.9, *;q=0.5\"}]})\n  \"fr\"\n  iex> preferred_accept_language(%Plug.Conn{req_headers: [{\"accept-language\", \"en-CA;q=0.9, *;q=0.5\"}]})\n  \"en\"\n  \"\"\"\n  def preferred_accept_language(conn) do\n    conn\n    |> extract_accept_language()\n    |> Enum.filter(&(&1 in @supported_locales))\n    |> Kernel.++(@default_locale)\n    |> hd()\n  end\n\n  @doc \"\"\"\n  Parses the `accept-language` HTTP header.\n  Inspired by https://github.com/smeevil/set_locale/blob/9b3b496b47a69c1174c2a324a458790d2b30dc97/lib/headers.ex#L1\n\n  iex> extract_accept_language(%Plug.Conn{req_headers: [{\"accept-language\", \"fr-CH, fr;q=0.9, en;q=0.8, de;q=0.7, *;q=0.5\"}]})\n  [\"fr-CH\", \"fr\", \"en\", \"de\"]\n  iex> extract_accept_language(%Plug.Conn{req_headers: []})\n  []\n  iex> extract_accept_language(%Plug.Conn{req_headers: [{\"accept-language\", \"*\"}]})\n  []\n  iex> extract_accept_language(%Plug.Conn{req_headers: [{\"accept-language\", \"fr-CH\"}]})\n  [\"fr-CH\", \"fr\"]\n  iex> extract_accept_language(%Plug.Conn{req_headers: [{\"accept-language\", \"en\"}]})\n  [\"en\"]\n  \"\"\"\n  def extract_accept_language(conn) do\n    case get_req_header(conn, \"accept-language\") do\n      [value | _] ->\n        value\n        |> String.split(\",\")\n        |> Enum.map(&parse_language_option/1)\n        |> Enum.sort(&(&1.quality > &2.quality))\n        |> Enum.map(& &1.tag)\n        |> Enum.reject(&is_nil/1)\n        |> ensure_language_fallbacks()\n\n      _ ->\n        []\n    end\n  end\n\n  defp parse_language_option(string) do\n    captures = Regex.named_captures(~r/^\\s?(?<tag>[\\w\\-]+)(?:;q=(?<quality>[\\d\\.]+))?$/i, string)\n\n    quality =\n      case Float.parse(captures[\"quality\"] || \"1.0\") do\n        {val, _} -> val\n        _ -> 1.0\n      end\n\n    %{tag: captures[\"tag\"], quality: quality}\n  end\n\n  defp ensure_language_fallbacks(tags) do\n    Enum.flat_map(tags, fn tag ->\n      [language | _] = String.split(tag, \"-\")\n      if Enum.member?(tags, language), do: [tag], else: [tag, language]\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/plugs/rate_limiter.ex",
    "content": "defmodule TransportWeb.Plugs.RateLimiter do\n  @moduledoc \"\"\"\n  A Plug wrapper around [phoenix_ddos](https://github.com/xward/phoenix_ddos/) to:\n  - log the User-Agent making an HTTP request\n  - block HTTP requests when certain keywords are found in the User-Agent HTTP header\n  - bypass the `phoenix_ddos` rate limiter for some HTTP User-Agents\n\n  Options:\n  - log_user_agent: boolean or string\n  - block_user_agent_keywords: list of keywords or string that will be split on `|`\n  - allow_user_agents: list of strings that will be split on `|`\n\n  If the plug is configured with a magic value, `:use_env_variables`, the\n  `call/2` method will be configured at runtime using environment variables.\n  - LOG_USER_AGENT\n  - BLOCK_USER_AGENT_KEYWORDS\n  - ALLOW_USER_AGENTS\n  \"\"\"\n  require Logger\n  import Plug.Conn\n  @behaviour Plug\n\n  @impl true\n  def init(:use_env_variables), do: :use_env_variables\n\n  def init(\n        log_user_agent: log_user_agent,\n        block_user_agent_keywords: block_user_agent_keywords,\n        allow_user_agents: allow_user_agents\n      )\n      when is_binary(log_user_agent) and is_binary(block_user_agent_keywords) and is_binary(allow_user_agents) do\n    init(\n      log_user_agent: log_user_agent == \"true\",\n      block_user_agent_keywords: prepare_param(block_user_agent_keywords),\n      allow_user_agents: prepare_param(allow_user_agents)\n    )\n  end\n\n  def init(options) do\n    Keyword.validate!(options, log_user_agent: false, block_user_agent_keywords: [], allow_user_agents: [])\n  end\n\n  @doc \"\"\"\n  iex> prepare_param(\"\")\n  []\n  iex> prepare_param(\"foo|bar\")\n  [\"foo\", \"bar\"]\n  \"\"\"\n  @spec prepare_param(binary()) :: [binary()]\n  def prepare_param(\"\"), do: []\n  def prepare_param(value) when is_binary(value), do: String.split(value, \"|\")\n\n  @impl true\n  def call(%Plug.Conn{} = conn, :use_env_variables) do\n    options =\n      init(\n        log_user_agent: System.get_env(\"LOG_USER_AGENT\", \"false\"),\n        block_user_agent_keywords: System.get_env(\"BLOCK_USER_AGENT_KEYWORDS\", \"\"),\n        allow_user_agents: System.get_env(\"ALLOW_USER_AGENTS\", \"\")\n      )\n\n    call(conn, options)\n  end\n\n  def call(%Plug.Conn{} = conn, options) do\n    conn\n    |> maybe_log_http_details(Keyword.fetch!(options, :log_user_agent))\n    |> maybe_block_request(Keyword.fetch!(options, :block_user_agent_keywords))\n    |> maybe_allow_user_agent(Keyword.fetch!(options, :allow_user_agents))\n  end\n\n  defp maybe_log_http_details(%Plug.Conn{method: method, request_path: request_path} = conn, true = _log_user_agent) do\n    user_agent = user_agent(conn)\n    Logger.metadata(user_agent: user_agent)\n    Logger.metadata(method: method)\n    Logger.metadata(path: request_path)\n    conn\n  end\n\n  defp maybe_log_http_details(%Plug.Conn{} = conn, false = _log_user_agent), do: conn\n\n  defp maybe_block_request(%Plug.Conn{} = conn, [] = _block_keywords), do: conn\n\n  defp maybe_block_request(%Plug.Conn{request_path: request_path} = conn, keywords) do\n    user_agent = user_agent(conn)\n\n    if user_agent == \"\" or String.contains?(user_agent, keywords) do\n      Logger.info(\"Blocked request #{request_path} by user-agent: #{user_agent}\")\n\n      conn\n      |> put_resp_content_type(\"text/plain\")\n      |> send_resp(401, \"Unauthorized\")\n      |> halt()\n    else\n      conn\n    end\n  end\n\n  defp maybe_allow_user_agent(%Plug.Conn{halted: true} = conn, _), do: conn\n\n  defp maybe_allow_user_agent(%Plug.Conn{} = conn, [] = _allow_user_agents) do\n    PhoenixDDoS.call(conn, nil)\n  end\n\n  defp maybe_allow_user_agent(%Plug.Conn{} = conn, allow_user_agents) do\n    if user_agent(conn) in allow_user_agents do\n      conn\n    else\n      PhoenixDDoS.call(conn, nil)\n    end\n  end\n\n  @doc \"\"\"\n  iex> user_agent(%Plug.Conn{req_headers: [{\"user-agent\", \"foo\"}]})\n  \"foo\"\n  iex> user_agent(%Plug.Conn{req_headers: [{\"accept\", \"application/json\"}]})\n  \"user-agent-not-set\"\n  \"\"\"\n  def user_agent(%Plug.Conn{} = conn) do\n    case get_req_header(conn, \"user-agent\") do\n      # HTTP request does not include a user agent.\n      # At the moment we allow it and replace with a static value\n      [] -> \"user-agent-not-set\"\n      [user_agent] -> user_agent\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/plugs/reuser_data.ex",
    "content": "defmodule TransportWeb.Plugs.ReuserData do\n  @moduledoc \"\"\"\n  A Plug to fetch and assign dataset information and validation checks for authenticated reusers.\n\n  ## Cache busting\n\n  Cached values are cleaned after 30 minutes.\n\n  ## Assignments\n\n  This plug adds the following keys to `conn.assigns`:\n\n  * `:followed_datasets` - A list of dataset records followed by the current user.\n  * `:followed_datasets_checks` - The results of validation logic run against those datasets.\n  \"\"\"\n  import Plug.Conn\n\n  @cache_delay :timer.minutes(30)\n\n  def init(opts), do: opts\n\n  def call(%Plug.Conn{} = conn, _opts) do\n    conn |> followed_datasets() |> followed_datasets_checks() |> hidden_reuser_alerts()\n  end\n\n  defp followed_datasets(%Plug.Conn{assigns: %{current_contact: %DB.Contact{} = contact}} = conn) do\n    datasets = contact |> DB.Repo.preload(:followed_datasets) |> Map.fetch!(:followed_datasets)\n\n    assign(conn, :followed_datasets, datasets)\n  end\n\n  defp followed_datasets(%Plug.Conn{assigns: %{current_contact: nil}} = conn) do\n    assign(conn, :followed_datasets, [])\n  end\n\n  defp followed_datasets_checks(\n         %Plug.Conn{assigns: %{followed_datasets: datasets, current_user: %{\"id\" => user_id}}} = conn\n       ) do\n    cache_key = followed_datasets_checks_cache_key(user_id)\n\n    checks =\n      case datasets do\n        [%DB.Dataset{} | _] = datasets ->\n          datasets_checks(datasets, cache_key)\n\n        _ ->\n          []\n      end\n\n    assign(conn, :followed_datasets_checks, checks)\n  end\n\n  defp followed_datasets_checks(%Plug.Conn{} = conn), do: assign(conn, :followed_datasets_checks, [])\n\n  def followed_datasets_checks_cache_key(user_id), do: \"followed_datasets_checks::#{user_id}\"\n\n  defp datasets_checks(datasets, cache_key) do\n    Transport.Cache.fetch(\n      cache_key,\n      fn ->\n        Enum.map(datasets, fn %DB.Dataset{} = dataset -> Transport.DatasetChecks.check(dataset, :reuser) end)\n      end,\n      @cache_delay\n    )\n  end\n\n  defp hidden_reuser_alerts(%Plug.Conn{assigns: %{current_contact: %DB.Contact{} = contact}} = conn) do\n    assign(conn, :hidden_reuser_alerts, DB.HiddenReuserAlert.active_hidden_alerts(contact))\n  end\n\n  defp hidden_reuser_alerts(%Plug.Conn{} = conn), do: assign(conn, :hidden_reuser_alerts, [])\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/plugs/router.ex",
    "content": "defmodule TransportWeb.Plugs.Router do\n  use Plug.Router\n\n  plug(TransportWeb.Plugs.HealthCheck, at: \"/health-check\")\n  plug(TransportWeb.Plugs.WorkerHealthcheck, if: {Transport.Application, :worker_only?})\n\n  plug(:match)\n  plug(:dispatch)\n\n  match(_, host: \"proxy.\", to: Unlock.Router)\n  match(\"/api/*_\", to: TransportWeb.API.Router)\n  match(_, to: TransportWeb.Router)\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/plugs/worker_healthcheck.ex",
    "content": "defmodule TransportWeb.Plugs.WorkerHealthcheck do\n  @moduledoc \"\"\"\n  A plug for the worker.\n  It can be conditionally enabled by passing an `:if` condition that will be evaluated.\n\n  It displays:\n  - when the app was started\n  - the last attempt for Oban jobs\n  - if the system is healthy\n\n  The system is considered healthy if the app was started recently or\n  if Oban attempted jobs recently.\n  \"\"\"\n  import Plug.Conn\n  require Logger\n\n  @app_start_waiting_delay {20, :minute}\n  @oban_max_delay_since_last_attempt {60, :minute}\n\n  def init(options), do: options\n\n  def call(conn, opts) do\n    {mod, fun} = opts[:if]\n\n    if apply(mod, fun, []) do\n      store_last_attempted_at_delay_metric()\n      status_code = if healthy_state?(), do: 200, else: 503\n\n      conn =\n        conn\n        |> put_resp_content_type(\"text/plain\")\n        |> send_resp(status_code, \"\"\"\n        UP (WORKER-ONLY)\n        App start time: #{app_start_datetime()}\n        App started recently?: #{app_started_recently?()}\n        Oban last attempt: #{oban_last_attempted_at()}\n        Oban attempted jobs recently?: #{oban_attempted_jobs_recently?()}\n        Healthy state?: #{healthy_state?()}\n        \"\"\")\n        |> halt()\n\n      # NOTE: Clever Cloud monitoring will better pick stuff back up\n      # if the app is completely down.\n      if !healthy_state?() do\n        Logger.info(\"Hot-fix: shutting down!!!\")\n        stop_the_beam!()\n      end\n\n      conn\n    else\n      conn\n    end\n  end\n\n  @doc \"\"\"\n  A fix for https://github.com/etalab/transport-site/issues/4377.\n\n  If the worker sees that no jobs have been attempted by Oban for some time,\n  this plug's logic stops the whole program (BEAM/VM) completely. Because the\n  Clever Cloud monitoring checks that they can open a socket to the 8080 port,\n  this makes the test fails, hence resulting in an automatic restart.\n\n  This is a cheap but so far effective way to ensure the worker gets restarted\n  when it malfunctions.\n  \"\"\"\n  def stop_the_beam! do\n    # \"Asynchronously and carefully stops the Erlang runtime system.\"\n    if Application.fetch_env!(:transport, :worker_healthcheck_halts_beam) do\n      # Make sure to return with a non-zero exit code, to more clearly\n      # indicate that this is not the normal output\n      System.stop(1)\n    else\n      # In test the flag is false: we do not want to stop the system, because it\n      # gives the impression the test suite completed successfully, but\n      # it would actually just bypass all the tests after the one running this!\n      raise \"would halt the BEAM\"\n    end\n  end\n\n  def store_last_attempted_at_delay_metric do\n    value = DateTime.diff(oban_last_attempted_at(), DateTime.utc_now(), :second)\n    Appsignal.add_distribution_value(\"oban.last_attempted_at_delay\", value)\n  end\n\n  def healthy_state? do\n    app_started_recently?() or oban_attempted_jobs_recently?()\n  end\n\n  def app_started_recently? do\n    {delay, unit} = @app_start_waiting_delay\n    DateTime.diff(DateTime.utc_now(), app_start_datetime(), unit) < delay\n  end\n\n  def app_start_datetime do\n    Transport.Cache.fetch(app_start_datetime_cache_key_name(), fn -> DateTime.utc_now() end, expire: nil)\n  end\n\n  def app_start_datetime_cache_key_name, do: \"#{__MODULE__}::app_start_datetime\"\n\n  def oban_attempted_jobs_recently? do\n    {delay, unit} = @oban_max_delay_since_last_attempt\n    DateTime.after?(oban_last_attempted_at(), DateTime.add(DateTime.utc_now(), -delay, unit))\n  end\n\n  def oban_last_attempted_at do\n    %Postgrex.Result{rows: [[delay]]} =\n      DB.Repo.query!(\"\"\"\n      SELECT MAX(attempted_at)\n      FROM oban_jobs\n      WHERE state = 'completed'\n      \"\"\")\n\n    case delay do\n      nil -> DateTime.new!(~D[1970-01-01], ~T[00:00:00.000], \"Etc/UTC\")\n      %NaiveDateTime{} = nt -> DateTime.from_naive!(nt, \"Etc/UTC\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/presence.ex",
    "content": "defmodule TransportWeb.Presence do\n  use Phoenix.Presence,\n    otp_app: :transport,\n    pubsub_server: TransportWeb.PubSub\n\n  @moduledoc \"\"\"\n  A \"Presence\" (user tracking) module for the app.\n  \"\"\"\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/redirect.ex",
    "content": "defmodule TransportWeb.Redirect do\n  @moduledoc \"\"\"\n  Redirect utility to be able to add routes like:\n  get(\"/example\", Redirect, external: \"https://example.com\")\n  get(\"/example\", Redirect, to: \"/foo\")\n  \"\"\"\n  import Phoenix.Controller\n  import Plug.Conn\n\n  def init([external: _] = opts), do: opts\n  def init([to: _] = opts), do: opts\n  def init(_default), do: raise(\"Missing required option. Specify `external` or `to`\")\n\n  def call(conn, opts) do\n    conn |> redirect(opts) |> halt()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/router.ex",
    "content": "defmodule TransportWeb.Router do\n  use TransportWeb, :router\n  use Sentry.PlugCapture\n  import Phoenix.LiveDashboard.Router\n\n  defimpl Plug.Exception, for: Phoenix.Template.UndefinedError do\n    def status(_exception), do: 404\n    def actions(e), do: [%{label: \"Not found\", handler: {IO, :puts, [\"Template not found: #{inspect(e)}\"]}}]\n  end\n\n  pipeline :browser_no_csp do\n    plug(:canonical_host)\n    plug(TransportWeb.Plugs.RateLimiter, :use_env_variables)\n    plug(:accepts, [\"html\"])\n    plug(:fetch_session)\n    plug(:fetch_flash)\n    plug(:fetch_live_flash)\n    plug(:protect_from_forgery)\n    plug(:assign_current_user)\n    plug(:assign_current_contact)\n    plug(TransportWeb.Plugs.PutLocale)\n    plug(:assign_datagouv_token)\n    plug(TransportWeb.Plugs.ProducerData)\n    plug(TransportWeb.Plugs.ReuserData)\n    plug(:maybe_login_again)\n    plug(:assign_mix_env)\n    plug(Sentry.PlugContext)\n  end\n\n  pipeline :browser do\n    plug(:browser_no_csp)\n    plug(TransportWeb.Plugs.CustomSecureBrowserHeaders)\n  end\n\n  pipeline :accept_json do\n    plug(:accepts, [\"json\"])\n  end\n\n  pipeline :authenticated do\n    plug(:browser)\n    plug(:authentication_required)\n  end\n\n  pipeline :admin_rights do\n    plug(:authenticated)\n    plug(:transport_data_gouv_member)\n  end\n\n  pipeline :backoffice_csv_export do\n    plug(:check_export_secret_key)\n  end\n\n  pipeline :backoffice_clear_proxy_config do\n    plug(:check_proxy_config_key)\n  end\n\n  pipeline :producer_space do\n    plug(:authentication_required, destination_path: \"/infos_producteurs\")\n  end\n\n  pipeline :reuser_space do\n    plug(:authentication_required, destination_path: \"/infos_reutilisateurs\")\n  end\n\n  scope \"/\", OpenApiSpex.Plug do\n    pipe_through(:browser_no_csp)\n\n    # NOTE: version of SwaggerUI is currently hardcoded by the Elixir package.\n    # See: https://github.com/open-api-spex/open_api_spex/issues/559\n    get(\"/swaggerui\", SwaggerUI,\n      path: \"/api/openapi\",\n      # See: https://github.com/etalab/transport-site/issues/3421\n      syntax_highlight: false\n    )\n  end\n\n  if Mix.env() == :dev do\n    scope \"/dev\" do\n      forward(\"/mailbox\", Plug.Swoosh.MailboxPreview)\n    end\n  end\n\n  scope \"/\", TransportWeb do\n    scope \"/backoffice\", Backoffice, as: :backoffice do\n      pipe_through([:backoffice_clear_proxy_config])\n\n      post(\"/clear_proxy_config\", PageController, :clear_proxy_config)\n    end\n\n    scope \"/backoffice\", Backoffice, as: :backoffice do\n      pipe_through([:browser_no_csp, :authentication_required, :transport_data_gouv_member])\n\n      live_session :email_preview, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/email_preview\", EmailPreviewLive)\n      end\n    end\n  end\n\n  scope \"/\", TransportWeb do\n    pipe_through(:browser)\n    get(\"/\", PageController, :index)\n    get(\"/missions\", PageController, :missions)\n    get(\"/accessibilite\", PageController, :accessibility)\n    get(\"/infos_producteurs\", PageController, :infos_producteurs)\n    get(\"/infos_reutilisateurs\", PageController, :infos_reutilisateurs)\n    get(\"/nouveautes\", PageController, :nouveautes)\n    get(\"/robots.txt\", PageController, :robots_txt)\n    get(\"/.well-known/security.txt\", PageController, :security_txt)\n    get(\"/humans.txt\", PageController, :humans_txt)\n    get(\"/sitemap.txt\", PageController, :sitemap_txt)\n    get(\"/reuses\", ReuseController, :index)\n\n    scope \"/espace_producteur\" do\n      pipe_through([:producer_space])\n      get(\"/\", EspaceProducteurController, :espace_producteur)\n      get(\"/proxy_statistics\", EspaceProducteurController, :proxy_statistics)\n      get(\"/download_statistics\", EspaceProducteurController, :download_statistics)\n      get(\"/proxy_statistics_csv\", EspaceProducteurController, :proxy_statistics_csv)\n      get(\"/download_statistics_csv\", EspaceProducteurController, :download_statistics_csv)\n      get(\"/discussions\", EspaceProducteurController, :discussions)\n\n      scope \"/datasets\" do\n        get(\"/:dataset_id/edit\", EspaceProducteurController, :edit_dataset)\n        get(\"/:dataset_id/reuser_improved_data/:resource_id\", EspaceProducteurController, :reuser_improved_data)\n        post(\"/:dataset_id/upload_logo\", EspaceProducteurController, :upload_logo)\n        delete(\"/:dataset_id/custom_logo\", EspaceProducteurController, :remove_custom_logo)\n\n        scope(\"/:dataset_id/resources\") do\n          get(\"/:resource_datagouv_id/delete\", EspaceProducteurController, :delete_resource_confirmation)\n          get(\"/new_resource/\", EspaceProducteurController, :new_resource)\n          get(\"/:resource_datagouv_id/\", EspaceProducteurController, :edit_resource)\n        end\n\n        scope \"/:dataset_datagouv_id/resources\" do\n          post(\"/\", EspaceProducteurController, :post_file)\n          delete(\"/:resource_datagouv_id/delete\", EspaceProducteurController, :delete_resource)\n          post(\"/:resource_datagouv_id/\", EspaceProducteurController, :post_file)\n        end\n      end\n\n      live_session :espace_producteur, session: %{\"role\" => :producer}, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/notifications\", Live.NotificationsLive, :notifications, as: :espace_producteur)\n      end\n    end\n\n    scope \"/espace_reutilisateur\" do\n      pipe_through([:reuser_space])\n      get(\"/\", ReuserSpaceController, :espace_reutilisateur)\n      get(\"/datasets/:dataset_id\", ReuserSpaceController, :datasets_edit)\n      post(\"/datasets/:dataset_id/add_improved_data\", ReuserSpaceController, :add_improved_data)\n      post(\"/datasets/:dataset_id/unfavorite\", ReuserSpaceController, :unfavorite)\n      post(\"/datasets/:dataset_id/hide_alert\", ReuserSpaceController, :hide_alert)\n      get(\"/settings\", ReuserSpaceController, :settings)\n      get(\"/settings/new_token\", ReuserSpaceController, :new_token)\n      post(\"/settings/new_token\", ReuserSpaceController, :create_new_token)\n      delete(\"/settings/tokens/:id\", ReuserSpaceController, :delete_token)\n      post(\"/settings/tokens/:id/default_token\", ReuserSpaceController, :default_token)\n\n      live_session :reuser_space, session: %{\"role\" => :reuser}, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/notifications\", Live.NotificationsLive, :notifications, as: :reuser_space)\n      end\n    end\n\n    get(\"/stats\", StatsController, :index)\n    get(\"/stats/public-transit\", StatsController, :stats_public_transit)\n    get(\"/atom.xml\", AtomController, :index)\n    post(\"/send_mail\", ContactController, :send_mail)\n    get(\"/aoms\", AOMSController, :index)\n    get(\"/aoms.csv\", AOMSController, :csv)\n\n    scope \"/explore\" do\n      get(\"/\", ExploreController, :index)\n      get(\"/vehicle-positions\", ExploreController, :vehicle_positions)\n      get(\"/gtfs-stops\", ExploreController, :gtfs_stops)\n    end\n\n    scope \"/datasets\" do\n      get(\"/\", DatasetController, :index)\n      get(\"/:slug/\", DatasetController, :details)\n      get(\"/:dataset_id/resources_history_csv\", DatasetController, :resources_history_csv)\n      get(\"/region/:region\", DatasetController, :by_region)\n      get(\"/departement/:departement\", DatasetController, :by_departement_insee)\n      get(\"/epci/:epci\", DatasetController, :by_epci)\n      get(\"/commune/:commune\", DatasetController, :by_commune_insee)\n      get(\"/offer/:identifiant_offre\", DatasetController, :by_offer)\n\n      scope \"/:dataset_datagouv_id\" do\n        pipe_through([:authenticated])\n        post(\"/discussions\", DiscussionController, :post_discussion)\n        post(\"/discussions/:discussion_id\", DiscussionController, :post_answer)\n      end\n    end\n\n    scope \"/resources\" do\n      get(\"/:id\", ResourceController, :details)\n      get(\"/:id/download\", ResourceController, :download)\n      get(\"/:id/download-validation-report\", ResourceController, :download_validation_report)\n\n      scope \"/conversions\" do\n        get(\"/:resource_id/:convert_to\", ConversionController, :get)\n      end\n    end\n\n    scope \"/backoffice\", Backoffice, as: :backoffice do\n      pipe_through([:admin_rights])\n      get(\"/\", PageController, :index)\n      get(\"/dashboard\", DashboardController, :index)\n\n      scope \"/contacts\" do\n        get(\"/\", ContactController, :index)\n        get(\"/new\", ContactController, :new)\n        get(\"/csv_export\", ContactController, :csv_export)\n        post(\"/create\", ContactController, :create)\n        get(\"/:id/edit\", ContactController, :edit)\n        post(\"/:id/delete\", ContactController, :delete)\n      end\n\n      scope \"/notification_subscription\" do\n        post(\"/\", NotificationSubscriptionController, :create)\n        delete(\"/:id\", NotificationSubscriptionController, :delete)\n        delete(\"/contact/:contact_id/:dataset_id\", NotificationSubscriptionController, :delete_for_contact_and_dataset)\n      end\n\n      get(\"/broken-urls\", BrokenUrlsController, :index)\n      get(\"/gtfs-export\", GTFSExportController, :export)\n\n      live_dashboard(\"/phoenix-dashboard\",\n        metrics: Transport.PhoenixDashboardTelemetry,\n        csp_nonce_assign_key: :csp_nonce_value\n      )\n\n      live_session :backoffice_proxy_config, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/proxy-config\", ProxyConfigLive)\n      end\n\n      live_session :backoffice_jobs, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/jobs\", JobsLive)\n        live(\"/jobs/experimental\", Jobs2Live)\n      end\n\n      live_session :cache, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/cache\", CacheLive)\n      end\n\n      live_session :rate_limiter, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/rate_limiter\", RateLimiterLive)\n      end\n\n      get(\"/import_aoms\", PageController, :import_all_aoms)\n\n      live_session :data_import_batch_report, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/batch-report\", DataImportBatchReportLive)\n      end\n\n      live_session :irve_dashboard, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/irve-dashboard\", IRVEDashboardLive)\n      end\n\n      scope \"/datasets\" do\n        get(\"/new\", PageController, :new)\n        get(\"/:id/edit\", PageController, :edit)\n        post(\"/:id\", DatasetController, :post)\n        post(\"/\", DatasetController, :post)\n        post(\"/:id/_import\", DatasetController, :import_from_data_gouv_fr)\n        post(\"/:id/_delete\", DatasetController, :delete)\n        post(\"/_all_/_import_validate\", DatasetController, :import_validate_all)\n        post(\"/_all_/_force_validate_gtfs_transport\", DatasetController, :force_validate_gtfs_transport)\n        post(\"/:id/_import_validate\", DatasetController, :import_validate_all)\n        post(\"/:id/_resource_format_override\", DatasetController, :resource_format_override)\n        post(\"/:id/_resource_related_create\", DatasetController, :resource_related_create)\n        post(\"/:id/_resource_related_delete\", DatasetController, :resource_related_delete)\n      end\n\n      get(\"/breaking_news\", BreakingNewsController, :index)\n      post(\"/breaking_news\", BreakingNewsController, :update_breaking_news)\n    end\n\n    scope \"/backoffice\", Backoffice, as: :backoffice do\n      pipe_through([:backoffice_csv_export])\n      get(\"/download_resources_csv\", PageController, :download_resources_csv)\n      get(\"/download_datasets_csv\", PageController, :download_datasets_csv)\n    end\n\n    # Authentication\n\n    scope \"/login\" do\n      get(\"/\", SessionController, :new)\n      get(\"/explanation\", PageController, :login)\n      get(\"/callback\", SessionController, :create)\n    end\n\n    get(\"/logout\", SessionController, :delete)\n\n    scope \"/validation\" do\n      live_session :validation, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/\", Live.OnDemandValidationSelectLive)\n      end\n\n      post(\"/\", ValidationController, :validate)\n      post(\"/convert\", ValidationController, :convert)\n      get(\"/:id\", ValidationController, :show)\n      get(\"/:id/download-validation-report\", ValidationController, :download_validation_report)\n    end\n\n    scope \"/tools\" do\n      get(\"/gbfs/geojson_convert\", GbfsToGeojsonController, :convert)\n      get(\"/gbfs/analyze\", GbfsAnalyzerController, :index)\n\n      live_session :gtfs_diff, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/gtfs_diff\", Live.GTFSDiffSelectLive)\n      end\n\n      live_session :siri, root_layout: {TransportWeb.LayoutView, :app} do\n        live(\"/siri-querier\", Live.SIRIQuerierLive)\n      end\n    end\n\n    scope \"/gtfs-geojson-conversion\" do\n      pipe_through([:admin_rights])\n      get(\"/\", GeojsonConversionController, :index)\n      post(\"/\", GeojsonConversionController, :convert)\n    end\n\n    get(\"/landing-vls\", LandingPagesController, :vls)\n\n    # old static pages that have been moved to doc.transport\n    get(\"/faq\", Redirect,\n      external: \"https://doc.transport.data.gouv.fr/le-point-d-acces-national/generalites/le-point-dacces-national\"\n    )\n\n    get(\"/guide\", Redirect,\n      external:\n        \"https://doc.transport.data.gouv.fr/producteurs/operateurs-de-transport-regulier-de-personnes/publier-des-horaires-theoriques-de-transport-regulier\"\n    )\n\n    get(\"/legal\", Redirect,\n      external:\n        \"https://doc.transport.data.gouv.fr/presentation-et-mode-demploi-du-pan/mentions-legales-et-conditions-generales-dutilisation\"\n    )\n\n    get(\"/conditions\", Redirect,\n      external:\n        \"https://doc.transport.data.gouv.fr/presentation-et-mode-demploi-du-pan/conditions-dutilisation-des-donnees/licence-odbl\"\n    )\n\n    get(\"/budget\", Redirect,\n      external: \"https://doc.transport.data.gouv.fr/le-point-d-acces-national/generalites/budget\"\n    )\n\n    # old static pages that have been moved to blog.transport\n    get(\"/blog/2019_04_26_interview_my_bus\", Redirect,\n      external:\n        \"https://blog.transport.data.gouv.fr/billets/entretien-avec-fr%C3%A9d%C3%A9ric-pacotte-co-fondateur-et-ceo-de-mybus/\"\n    )\n\n    get(\"/blog/2019_10_24_itw-gueret\", Redirect,\n      external:\n        \"https://blog.transport.data.gouv.fr/billets/cr%C3%A9ation-dun-fichier-gtfs-interview-avec-le-grand-gu%C3%A9ret/\"\n    )\n\n    get(\"/blog/2020_01_16_donnees_perimees.md\", Redirect,\n      external:\n        \"https://blog.transport.data.gouv.fr/billets/donn%C3%A9es-p%C3%A9rim%C3%A9es-donn%C3%A9es-inutilis%C3%A9es/\"\n    )\n\n    # Define a \"catch all\" route, rendering the 404 page.\n    # By default pipelines are not invoked when a route is not found.\n    # We need the `browser` pipeline in order to start the session.\n    #\n    # See https://elixirforum.com/t/phoenix-router-no-pipelines-invoked-for-404/42563\n    get(\"/*path\", PageController, :not_found)\n  end\n\n  # private\n\n  defp assign_mix_env(conn, _) do\n    assign(conn, :mix_env, Application.fetch_env!(:transport, :mix_env))\n  end\n\n  defp assign_current_user(conn, _) do\n    # `current_user` is set by TransportWeb.SessionController.user_params_for_session/1\n    assign(conn, :current_user, get_session(conn, :current_user))\n  end\n\n  defp assign_current_contact(%Plug.Conn{assigns: %{current_user: nil}} = conn, _) do\n    assign(conn, :current_contact, nil)\n  end\n\n  defp assign_current_contact(%Plug.Conn{assigns: %{current_user: %{\"id\" => id}}} = conn, _) do\n    current_contact = DB.Contact |> DB.Repo.get_by!(datagouv_user_id: id) |> DB.Repo.preload(:default_tokens)\n\n    assign(conn, :current_contact, current_contact)\n  end\n\n  defp assign_datagouv_token(conn, _) do\n    legacy_key = get_session(conn, :token)\n    assign(conn, :datagouv_token, get_session(conn, :datagouv_token) || legacy_key)\n  end\n\n  defp maybe_login_again(conn, _) do\n    case conn.assigns[:datagouv_token] do\n      %OAuth2.AccessToken{expires_at: expires_at} ->\n        if DateTime.compare(DateTime.from_unix!(expires_at), DateTime.utc_now()) == :lt do\n          conn |> configure_session(drop: true) |> assign(:current_user, nil) |> authentication_required(nil)\n        else\n          conn\n        end\n\n      _ ->\n        conn\n    end\n  end\n\n  @doc \"\"\"\n  Checks if the user is logged-in or not and redirects accordingly.\n\n  If the user is logged-in, do nothing.\n  If the user is not logged-in, redirects to the login page which then redirects\n  to the previous page.\n\n  Available options:\n  - `destination_path`: instead of redirecting to the login page, redirect to this path\n  \"\"\"\n  def authentication_required(%Plug.Conn{} = conn, nil), do: authentication_required(conn, [])\n\n  def authentication_required(%Plug.Conn{} = conn, options) do\n    login_path = Helpers.page_path(conn, :login, redirect_path: current_path(conn))\n    destination_path = Keyword.get(options, :destination_path, login_path)\n\n    case conn.assigns[:current_user] do\n      nil ->\n        conn\n        |> put_flash(:info, dgettext(\"alert\", \"You need to be connected before doing this.\"))\n        |> redirect(to: destination_path)\n        |> halt()\n\n      _ ->\n        conn\n    end\n  end\n\n  # Check that a secret key is passed in the URL in the `export_key` query parameter\n  defp check_export_secret_key(%Plug.Conn{params: params} = conn, _) do\n    export_key_value = Map.get(params, \"export_key\", \"\")\n    expected_value = Application.fetch_env!(:transport, :export_secret_key)\n\n    if Plug.Crypto.secure_compare(export_key_value, expected_value) do\n      conn\n    else\n      conn\n      |> put_flash(:error, dgettext(\"alert\", \"You need to be a member of the transport.data.gouv.fr team.\"))\n      |> redirect(to: Helpers.page_path(conn, :login, redirect_path: current_path(conn)))\n      |> halt()\n    end\n  end\n\n  defp check_proxy_config_key(%Plug.Conn{} = conn, _) do\n    key_value =\n      case Plug.Conn.get_req_header(conn, \"x-key\") do\n        [value] -> value\n        _ -> \"\"\n      end\n\n    expected_value = Application.fetch_env!(:transport, :proxy_config_secret_key)\n\n    if Plug.Crypto.secure_compare(key_value, expected_value) do\n      conn\n    else\n      conn |> put_status(401) |> text(\"Unauthorized\") |> halt()\n    end\n  end\n\n  defp transport_data_gouv_member(%Plug.Conn{} = conn, _) do\n    if TransportWeb.Session.admin?(conn) do\n      conn\n    else\n      conn\n      |> put_flash(:error, dgettext(\"alert\", \"You need to be a member of the transport.data.gouv.fr team.\"))\n      |> redirect(to: Helpers.page_path(conn, :login, redirect_path: current_path(conn)))\n      |> halt()\n    end\n  end\n\n  # see https://github.com/remi/plug_canonical_host#usage\n  defp canonical_host(conn, _) do\n    host = Application.fetch_env!(:transport, :domain_name)\n    opts = PlugCanonicalHost.init(canonical_host: host)\n    PlugCanonicalHost.call(conn, opts)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/session.ex",
    "content": "defmodule TransportWeb.Session do\n  @moduledoc \"\"\"\n  Web session getters and setters.\n  \"\"\"\n  import Ecto.Query\n  import Plug.Conn\n\n  @is_admin_key_name \"is_admin\"\n  @is_producer_key_name \"is_producer\"\n\n  @doc \"\"\"\n  Are you a data producer?\n\n  You're a data producer if you're a member of an organization with an active dataset\n  on transport.data.gouv.fr.\n  This is set when you log in and refreshed when you visit your \"Espace producteur\".\n  \"\"\"\n  @spec set_is_producer(Plug.Conn.t(), map() | [DB.Dataset.t()]) :: Plug.Conn.t()\n  def set_is_producer(%Plug.Conn{} = conn, %{\"organizations\" => _} = params) do\n    set_session_attribute_attribute(conn, @is_producer_key_name, producer?(params))\n  end\n\n  def set_is_producer(%Plug.Conn{} = conn, datasets_for_user) when is_list(datasets_for_user) do\n    is_producer = not Enum.empty?(datasets_for_user)\n    set_session_attribute_attribute(conn, @is_producer_key_name, is_producer)\n  end\n\n  @doc \"\"\"\n  Are you a transport.data.gouv.fr admin?\n  You're an admin if you're a member of the PAN organization on data.gouv.fr.\n  \"\"\"\n  def set_is_admin(%Plug.Conn{} = conn, %{\"organizations\" => _} = params) do\n    set_session_attribute_attribute(conn, @is_admin_key_name, admin?(params))\n  end\n\n  def admin?(%{\"organizations\" => orgs}) do\n    Enum.any?(orgs, &(&1[\"slug\"] == \"equipe-transport-data-gouv-fr\"))\n  end\n\n  def admin?(%Plug.Conn{} = conn) do\n    conn |> current_user() |> Map.get(@is_admin_key_name, false)\n  end\n\n  def admin?(%Phoenix.LiveView.Socket{assigns: %{current_user: current_user}}) do\n    Map.get(current_user, @is_admin_key_name, false)\n  end\n\n  # This clause is called from any session with current_user set\n  def producer?(%Plug.Conn{} = conn) do\n    conn |> current_user() |> Map.get(@is_producer_key_name, false)\n  end\n\n  # This clause is called rather from jobs that need to know if a contact is a producer\n  # Data comes from the database (hence the struct with atom keys)\n  def producer?(%DB.Contact{} = contact) do\n    %DB.Contact{organizations: organizations} = DB.Repo.preload(contact, :organizations)\n    organizations_ids = organizations |> Enum.map(& &1.id)\n    any_organization_id_is_any_dataset_organization?(organizations_ids)\n  end\n\n  # This clause is called when setting the session.\n  # Data comes from datagouv API (hence the map with string keys)\n  def producer?(%{\"organizations\" => orgs}) do\n    org_ids = Enum.map(orgs, & &1[\"id\"])\n    any_organization_id_is_any_dataset_organization?(org_ids)\n  end\n\n  def any_organization_id_is_any_dataset_organization?(organization_ids) when is_list(organization_ids) do\n    DB.Dataset.base_query() |> where([dataset: d], d.organization_id in ^organization_ids) |> DB.Repo.exists?()\n  end\n\n  @spec set_session_attribute_attribute(Plug.Conn.t(), binary(), boolean()) :: Plug.Conn.t()\n  defp set_session_attribute_attribute(%Plug.Conn{} = conn, key, value) do\n    current_user = current_user(conn)\n    conn |> put_session(:current_user, Map.put(current_user, key, value))\n  end\n\n  defp current_user(%Plug.Conn{} = conn), do: get_session(conn, :current_user, %{})\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/aoms/index.html.heex",
    "content": "<h2>Situation des AOM pour l’ouverture des données transport en commun</h2>\n<div class=\"is-centered\">\n  <a class=\"button\" href={aoms_path(@conn, :csv)} role=\"link\">\n    <i class=\"icon icon--download\" aria-hidden=\"true\"></i> Télécharger en CSV\n  </a>\n</div>\n<table class=\"table aom_table unsorted\">\n  <tr>\n    <th>Nom</th>\n    <th>Département</th>\n    <th>Région</th>\n    <th>Publié</th>\n    <th>Publié dans un aggrégat</th>\n    <th>À jour</th>\n    <th>Temps réel</th>\n    <th>Population</th>\n    <th>Commune principale</th>\n    <th>Nombre de communes</th>\n    <th>Nombre de GTFS</th>\n    <th>Nombre de NeTEx</th>\n    <th>Nombre de GTFS-RT</th>\n    <th>Nombre de SIRI</th>\n    <th>Nombre de SIRI Lite</th>\n  </tr>\n  <%= for aom <- @aoms do %>\n    <tr>\n      <td>{aom.nom}</td>\n      <td>{aom.departement}</td>\n      <td>{aom.region}</td>\n      <td>{format_bool(aom.published)}</td>\n      <td>{format_bool(aom.in_aggregate)}</td>\n      <td>{format_bool(aom.up_to_date)}</td>\n      <td>{format_bool(aom.has_realtime)}</td>\n      <td>{aom.population}</td>\n      <td>{aom.nom_commune} ({aom.insee_commune_principale})</td>\n      <td>{aom.nombre_communes}</td>\n      <td>{aom.nb_gtfs}</td>\n      <td>{aom.nb_netex}</td>\n      <td>{aom.nb_gtfs_rt}</td>\n      <td>{aom.nb_siri}</td>\n      <td>{aom.nb_siri_lite}</td>\n    </tr>\n  <% end %>\n</table>\n<script nonce={@conn.assigns[:csp_nonce_value]}>\n  const getCellValue = (tr, idx) => tr.children[idx].innerText || tr.children[idx].textContent;\n\n  const comparer = (idx, asc) => (a, b) => ((v1, v2) =>\n      v1 !== '' && v2 !== '' && !isNaN(v1) && !isNaN(v2) ? v1 - v2 : v1.toString().localeCompare(v2)\n      )(getCellValue(asc ? a : b, idx), getCellValue(asc ? b : a, idx));\n\n  // do the work...\n  document.querySelectorAll('th').forEach(th => th.addEventListener('click', (() => {\n      const table = th.closest('table');\n      table.querySelectorAll('th').forEach(th => th.className = '')\n      th.className = !this.asc ? 'asc' : 'desc'\n      const header_index = Array.from(th.parentNode.children).indexOf(th);\n\n      Array.from(table.querySelectorAll('tr:nth-child(n+2)'))\n          .sort(comparer(header_index, this.asc = !this.asc))\n          .forEach(tr => table.appendChild(tr) );\n  })));\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/atom/index.html.heex",
    "content": "{raw(~s(<?xml version=\"1.0\" encoding=\"utf-8\" ?>))}\n<feed xmlns=\"http://www.w3.org/2005/Atom\">\n  <title>transport.data.gouv.fr</title>\n  <subtitle>Jeux de données GTFS</subtitle>\n  {raw(~s(<link href=\"#{atom_url(@conn, :index)}\" rel=\"self\" />))}\n  <id>tag:transport.data.gouv.fr,2019-02-27:/20190227161047181</id>\n  <updated>{last_updated(@resources)}</updated>\n\n  <%= for resource <- @resources do %>\n    <entry>\n      <title>{resource.dataset.custom_title} — {resource.title}</title>\n      {raw(~s(<link href=\"#{resource.latest_url}\" />))}\n      <id>{resource_url(@conn, :details, resource.id)}</id>\n      <updated>{resource.last_update |> DateTime.to_iso8601()}</updated>\n      <summary>Cette ressource fait partie du jeux de données {resource.dataset.custom_title}</summary>\n      <content type=\"html\">\n        {raw(\n          \"<![CDATA[#{elem(TransportWeb.MarkdownHandler.markdown_to_safe_html!(resource.dataset.description), 1)}]]>\"\n        )}\n      </content>\n      <author>\n        <name>{resource.dataset.organization}</name>\n      </author>\n    </entry>\n  <% end %>\n</feed>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/backoffice/breaking_news/index.html.heex",
    "content": "<div class=\"container\">\n  <h1>Breaking News sur la page d'accueil</h1>\n  <div class=\"pb-48\">\n    Cette page permet de faire apparaitre instantanément un message d'information sur la page d'accueil du site. Il est possible d'utiliser <a href=\"https://www.markdownguide.org/basic-syntax/\">du Markdown</a>.<br />\n    Pour supprimer le bandeau, il suffit de supprimer le contenu du message.\n  </div>\n\n  <%= form_for @conn, backoffice_breaking_news_path(@conn, :update_breaking_news), [class: \"no-margin\"], fn f -> %>\n    <%= label do %>\n      Message à faire apparaitre sur le site {text_input(f, :msg, value: Map.get(@current_breaking_news, :msg))}\n    <% end %>\n\n    <%= label class: \"pt-12\" do %>\n      Type de message {select(f, :level, Ecto.Enum.mappings(DB.BreakingNews, :level),\n        selected: Map.get(@current_breaking_news, :level, :info)\n      )}\n    <% end %>\n    {submit(\"Envoyer !\")}\n  <% end %>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/backoffice/broken_urls/index.html.heex",
    "content": "<div class=\"container pt-48 pb-24\">\n  <h1>Détection de changements d'URLs stables</h1>\n  <p>Voici la liste des derniers changements d'URLs détectés sur les jeux de données référencés par le PAN.</p>\n  <p>\n    Apparaissent ici les jeux de données pour lesquels sont simultanément détectées une suppression d'URL existante et l'apparition d'une nouvelle URL, ce qui laisse penser qu'une URL vient d'être modifiée.\n  </p>\n  <p>\n    Les URLs que nous surveillons sont les URLs que nous proposons au téléchargement sur notre page d'un jeu de donnée, et sont donc celles que nous considérons comme étant les plus stables.\n  </p>\n</div>\n\n<section class=\"section-grey\">\n  <div class=\"container pt-48 pb-48\">\n    <table class=\"table\">\n      <thead>\n        <tr>\n          <th>Jeu de données</th>\n          <th>Détection du changement</th>\n          <th>URLs supprimées</th>\n          <th>Nouvelles URLs</th>\n        </tr>\n      </thead>\n      <tbody>\n        <%= for broken_url <- @broken_urls do %>\n          <tr>\n            <td>\n              {link(broken_url.dataset_custom_title, to: dataset_path(@conn, :details, broken_url.dataset_id))}\n            </td>\n            <td>{format_datetime_to_paris(broken_url.inserted_at, \"fr\")}</td>\n            <td>\n              <ul>\n                <%= for url <- broken_url.previous_urls -- broken_url.urls do %>\n                  <li>{url}</li>\n                <% end %>\n              </ul>\n            </td>\n            <td>\n              <ul>\n                <%= for url <- broken_url.urls -- broken_url.previous_urls do %>\n                  <li>{url}</li>\n                <% end %>\n              </ul>\n            </td>\n          </tr>\n        <% end %>\n      </tbody>\n    </table>\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/backoffice/contact/_notification_subscriptions.html.heex",
    "content": "<% subscriptions_with_dataset = notification_subscriptions_with_dataset(@notification_subscriptions) %>\n<% subscriptions_without_dataset = notification_subscriptions_without_dataset(@notification_subscriptions) %>\n<% reasons_subscribed_without_dataset = subscriptions_without_dataset |> Enum.map(& &1.reason) |> Enum.uniq() %>\n\n<div :if={!@creating_contact} class=\"panel\" id=\"notification_subscriptions\">\n  <h2>Abonnements à des notifications</h2>\n\n  <h3>Créer un abonnement</h3>\n\n  <p class=\"notification\">\n    ℹ️ Les abonnements créés depuis le backoffice sont créés avec le rôle de <code><b>producer</b></code>. Les réutilisateurs doivent utiliser l'espace réutilisateur en autonomie.\n  </p>\n\n  <h4>Lié à un jeu de données</h4>\n\n  <%= form_for @conn, backoffice_notification_subscription_path(@conn, :create), [], fn f -> %>\n    {hidden_input(f, :redirect_location, value: \"contact\")}\n    {hidden_input(f, :contact_id, value: @contact_id)}\n    <%= label f, :dataset_id do %>\n      Jeu de données {text_input(f, :dataset_id, required: true, list: \"datasets_datalist\", pattern: \"[0-9]+\")}\n    <% end %>\n    <datalist id=\"datasets_datalist\">\n      <%= for dataset <- @datasets_datalist do %>\n        <option value={dataset.id}>{dataset_title(dataset)}</option>\n      <% end %>\n    </datalist>\n    <%= label f, :reasons, class: \"pt-12\" do %>\n      {dgettext(\"backoffice\", \"Notification reason\")}\n      <%= for reason <- Transport.NotificationReason.subscribable_reasons_related_to_datasets(:producer) do %>\n        <%= label f, reason do %>\n          {checkbox(f, reason, hidden_input: false, value: true)}\n          {reason}\n        <% end %>\n      <% end %>\n    <% end %>\n\n    {submit(\"Créer un abonnement\")}\n  <% end %>\n\n  <h4>Autres motifs</h4>\n\n  <%= form_for @conn, backoffice_notification_subscription_path(@conn, :create), [], fn f -> %>\n    {hidden_input(f, :redirect_location, value: \"contact\")}\n    {hidden_input(f, :contact_id, value: @contact_id)}\n    <%= label f, :reasons, class: \"pt-12\" do %>\n      {dgettext(\"backoffice\", \"Notification reason\")}\n      <%= for reason <- Transport.NotificationReason.subscribable_platform_wide_reasons(:producer) do %>\n        <%= label f, reason do %>\n          {checkbox(f, reason, hidden_input: false, value: reason in reasons_subscribed_without_dataset)}\n          {reason}\n        <% end %>\n      <% end %>\n    <% end %>\n\n    {submit(\"Mettre à jour les abonnements\")}\n  <% end %>\n\n  <h3>{dgettext(\"backoffice\", \"Existing subscriptions\")}</h3>\n\n  <p :if={Enum.empty?(@notification_subscriptions)} class=\"notification\">\n    {dgettext(\"backoffice\", \"There are no notification subscriptions for this contact.\")}\n  </p>\n\n  <table :if={Enum.count(subscriptions_with_dataset) > 0} class=\"table mt-48 dashboard-description\">\n    <tr>\n      <th>{dgettext(\"backoffice\", \"Dataset\")}</th>\n      <th>{dgettext(\"backoffice\", \"Role\")}</th>\n      <th>{dgettext(\"backoffice\", \"Notification reason\")}</th>\n      <th>Source</th>\n      <th>Actions</th>\n    </tr>\n    <%= for {dataset, notification_subscriptions} <- subscriptions_with_dataset do %>\n      <%= for {notification_subscription, index} <- Enum.with_index(notification_subscriptions) do %>\n        <tr>\n          <td :if={index == 0} rowspan={Enum.count(notification_subscriptions)}>\n            <a href={backoffice_page_path(@conn, :edit, dataset.id)}>\n              {dataset.custom_title}\n            </a>\n\n            <div class=\"inline-block\">\n              <%= form_for @conn, backoffice_notification_subscription_path(@conn, :delete_for_contact_and_dataset, @contact_id, dataset.id), [method: \"delete\"], fn f -> %>\n                {hidden_input(f, :redirect_location, value: \"contact\")}\n                <button class=\"small button-outline no-border warning\" title=\"désabonner entièrement\">\n                  <i class=\"fa-solid fa-xmark\"></i>\n                </button>\n              <% end %>\n            </div>\n            <div class=\"small\">{dataset.type}</div>\n          </td>\n          <td><span class={role_class(notification_subscription)}>{notification_subscription.role}</span></td>\n          <td>{notification_subscription.reason}</td>\n          <td>{notification_subscription.source}</td>\n          <td>\n            <%= form_for @conn, backoffice_notification_subscription_path(@conn, :delete, notification_subscription.id), [method: \"delete\"], fn f -> %>\n              {hidden_input(f, :redirect_location, value: \"contact\")}\n              <button class=\"small button-outline no-border warning\">\n                <i class=\"fas fa-trash\"></i>\n              </button>\n            <% end %>\n          </td>\n        </tr>\n      <% end %>\n    <% end %>\n  </table>\n\n  <table :if={Enum.count(subscriptions_without_dataset) > 0} class=\"table mt-48 dashboard-description\">\n    <tr>\n      <th>{dgettext(\"backoffice\", \"Role\")}</th>\n      <th>{dgettext(\"backoffice\", \"Notification reason\")}</th>\n      <th>Source</th>\n      <th>Actions</th>\n    </tr>\n    <%= for notification_subscription <- Enum.sort_by(subscriptions_without_dataset, & &1.reason, :asc) do %>\n      <tr>\n        <td><span class={role_class(notification_subscription)}>{notification_subscription.role}</span></td>\n        <td>{notification_subscription.reason}</td>\n        <td>{notification_subscription.source}</td>\n        <td>\n          <%= form_for @conn, backoffice_notification_subscription_path(@conn, :delete, notification_subscription.id), [method: \"delete\"], fn f -> %>\n            {hidden_input(f, :redirect_location, value: \"contact\")}\n            <button class=\"small button-outline warning\">\n              <i class=\"fas fa-trash\"></i> Supprimer\n            </button>\n          <% end %>\n        </td>\n      </tr>\n    <% end %>\n  </table>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/backoffice/contact/_notifications.html.heex",
    "content": "<div :if={!@creating_contact} class=\"panel\" id=\"notifications\">\n  <h2>Notifications reçues</h2>\n\n  <p :if={Enum.empty?(@notifications)} class=\"notification\">\n    Pas de notifications reçues pour le moment.\n  </p>\n\n  <table :if={Enum.count(@notifications) > 0} class=\"table dashboard-description\">\n    <tr>\n      <th>{dgettext(\"backoffice\", \"Role\")}</th>\n      <th>{dgettext(\"backoffice\", \"Notification reason\")}</th>\n      <th>{dgettext(\"backoffice\", \"Dataset\")}</th>\n      <th>{dgettext(\"backoffice\", \"Datetime\")}</th>\n    </tr>\n    <%= for notification <- @notifications do %>\n      <tr>\n        <td><span class={role_class(notification)}>{notification.role}</span></td>\n        <td lang=\"en\">{notification.reason}</td>\n        <td :if={is_nil(notification.dataset_id)}>-</td>\n        <td :if={!is_nil(notification.dataset_id)}>\n          <a href={dataset_path(@conn, :details, notification.dataset.slug)} target=\"_blank\">\n            <i class=\"fa fa-external-link-alt\" aria-hidden=\"true\"></i>\n            {notification.dataset.custom_title}\n          </a>\n        </td>\n        <td>{Shared.DateTimeDisplay.format_datetime_to_paris(notification.inserted_at, \"fr\")}</td>\n      </tr>\n    <% end %>\n  </table>\n  <p class=\"small\">\n    Liste les notifications reçues au cours des {@notifications_months_limit} derniers mois.\n  </p>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/backoffice/contact/form.html.heex",
    "content": "<% contact_id = Ecto.Changeset.get_field(@contact, :id) %>\n<% creating_contact = is_nil(contact_id) %>\n<div class=\"container pb-24\">\n  <div class=\"pb-24\">\n    {breadcrumbs([@conn, :contacts_edit])}\n  </div>\n  <div class=\"panel\">\n    <h2 :if={creating_contact}>Créer un contact</h2>\n    <h2 :if={!creating_contact}>Éditer un contact</h2>\n\n    <%= if not @contact.valid? and @contact.changes != %{} do %>\n      <div class=\"notification error\">\n        <ul>\n          <%= for {field, {msg, _}} <- @contact.errors do %>\n            <li>{\"#{field} : #{msg}\"}</li>\n          <% end %>\n        </ul>\n      </div>\n    <% end %>\n    <div :if={@contact.data.datagouv_user_id != nil} class=\"pb-24\">\n      Identifiant de l'utilisateur sur data.gouv.fr <span class=\"label\">{@contact.data.datagouv_user_id}</span>\n      <br />\n      Dernière date de connexion : {format_datetime_to_paris(\n        @contact.data.last_login_at,\n        get_session(@conn, :locale)\n      )}\n    </div>\n    <%= form_for @contact, backoffice_contact_path(@conn, :create), [class: \"no-margin\", method: \"post\"], fn f -> %>\n      {hidden_input(f, :id, value: contact_id)}\n      <div class=\"panel\">\n        <%= label f, :first_name do %>\n          Prénom {text_input(f, :first_name, [])}\n        <% end %>\n        <%= label f, :last_name, class: \"pt-12\" do %>\n          Nom {text_input(f, :last_name, [])}\n        <% end %>\n        <p class=\"separator pt-6 pb-6\">\n          - {dgettext(\"backoffice\", \"or\")} -\n        </p>\n        <%= label f, :mailing_list_title do %>\n          Titre {text_input(f, :mailing_list_title, [])}\n          <div class=\"small\">À utiliser quand un contact n'est pas une personne</div>\n        <% end %>\n      </div>\n      <%= label f, :job_title, class: \"pt-12\" do %>\n        Fonction {text_input(f, :job_title,\n          placeholder: \"Responsable numérique\",\n          list: \"existing_job_titles\"\n        )}\n        <div class=\"small\">Optionnel</div>\n      <% end %>\n      <datalist id=\"existing_job_titles\">\n        <%= for job_title <- @existing_job_titles do %>\n          <option value={job_title} />\n        <% end %>\n      </datalist>\n      <%= label f, :organization, class: \"pt-12\" do %>\n        Organisation {text_input(f, :organization,\n          required: true,\n          placeholder: \"SNCF\",\n          list: \"existing_organizations\"\n        )}\n      <% end %>\n      <datalist id=\"existing_organizations\">\n        <%= for org <- @existing_organizations do %>\n          <option value={org} />\n        <% end %>\n      </datalist>\n      <%= label f, :email, class: \"pt-12\" do %>\n        E-mail {text_input(f, :email, required: true, type: \"email\")}\n      <% end %>\n      <%= label f, :phone_number, class: \"pt-12\" do %>\n        Numéro de téléphone principal {text_input(f, :phone_number, type: \"tel\")}\n        <div class=\"small\">Optionnel</div>\n      <% end %>\n      <%= label f, :secondary_phone_number, class: \"pt-12\" do %>\n        Numéro de téléphone secondaire {text_input(f, :secondary_phone_number, type: \"tel\")}\n        <div class=\"small\">Optionnel</div>\n      <% end %>\n      {submit(\"Envoyer\")}\n    <% end %>\n  </div>\n\n  <div :if={!creating_contact} class=\"panel\">\n    <h2>Actions</h2>\n    <%= form_for @contact, backoffice_contact_path(@conn, :delete, contact_id), [class: \"no-margin\", method: \"post\"], fn _ -> %>\n      {submit(\"Supprimer\", class: \"button warning\")}\n    <% end %>\n  </div>\n\n  {render(\"_notification_subscriptions.html\",\n    creating_contact: creating_contact,\n    contact_id: contact_id,\n    datasets_datalist: @datasets_datalist,\n    notification_subscriptions: @notification_subscriptions,\n    conn: @conn\n  )}\n  {render(\"_notifications.html\",\n    creating_contact: creating_contact,\n    notifications: @notifications,\n    notifications_months_limit: @notifications_months_limit,\n    conn: @conn\n  )}\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/backoffice/contact/index.html.heex",
    "content": "<section class=\"container pt-24 pb-24\">\n  <h1>Contacts</h1>\n\n  <%= form_for @conn, backoffice_contact_path(@conn, :index), [id: \"backoffice_search_container\", method: \"get\"], fn f -> %>\n    {search_input(f, :q,\n      id: \"backoffice_search\",\n      value: assigns[:q] || \"\",\n      list: \"search_datalist\",\n      placeholder: dgettext(\"contact\", \"Find contacts\")\n    )}\n    <datalist id=\"search_datalist\">\n      <%= for value <- @search_datalist do %>\n        <% unaccent_value = unaccent(value) %>\n        <option value={value} />\n        <option :if={value != unaccent_value} value={value}>{unaccent_value}</option>\n      <% end %>\n    </datalist>\n    <button type=\"submit\" class=\"button backoffice_search_button\"><i class=\"fa fa-search\"></i></button>\n    <div class=\"small\">Rechercher par prénom, nom, titre ou organisation</div>\n  <% end %>\n\n  <a class=\"button\" href={backoffice_contact_path(@conn, :new)}>\n    <i class=\"fas fa-plus\"></i> Créer un contact\n  </a>\n\n  <div class=\"pt-24\">\n    {pagination_links(@conn, @contacts)}\n  </div>\n\n  <table class=\"backoffice-results\">\n    <tr>\n      <th>Nom</th>\n      <th>E-mail</th>\n      <th>Organisation</th>\n      <th>Fonction</th>\n      <th class=\"bo_action_button\"></th>\n    </tr>\n    <%= for contact <- @contacts do %>\n      <tr>\n        <td>{DB.Contact.display_name(contact)}</td>\n        <td>{contact.email}</td>\n        <td>{contact.organization}</td>\n        <td>{contact.job_title}</td>\n        <td class=\"bo_action_button\">\n          <%= form_for @conn, backoffice_contact_path(@conn, :edit, contact.id), [nodiv: true, method: \"get\"], fn _ -> %>\n            {submit(\"Éditer\", class: \"button\", nodiv: true)}\n          <% end %>\n        </td>\n      </tr>\n    <% end %>\n  </table>\n  <div class=\"pt-24\">\n    {pagination_links(@conn, @contacts)}\n  </div>\n  <div class=\"pt-12\">\n    <a class=\"button-outline small secondary\" href={backoffice_contact_path(@conn, :csv_export)}>\n      <i class=\"icon icon--download\" aria-hidden=\"true\"></i> Télécharger un export\n    </a>\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/backoffice/dashboard/index.html.heex",
    "content": "<h2 class=\"is-centered\">\n  Rapport de complétude des imports ({@import_count_by_dataset_and_by_day |> length} datasets).\n</h2>\n\n<div class=\"container pt-24\">\n  <div class=\"dashboard-description\">\n    <ul>\n      <li>\n        La couleur rouge foncée dénote l'absence de trace d'au moins 1 log d'import pour une date donnée, c'est à dire:\n        <ul>\n          <li>\n            qu'une erreur non gérée s'est produite (ex: <a href=\"https://sentry.io/organizations/betagouv-f7/issues/?environment=prod&project=5687467&query=is%3Aunresolved+unmanaged_exception_during_import&statsPeriod=14d\">unmanaged_exception_during_import</a>)\n          </li>\n          <li>que le dataset n'existait pas encore à l'instant t</li>\n          <li>que les imports n'ont pas tourné du tout à une date donnée</li>\n        </ul>\n      </li>\n      <li>La couleur rouge signifie qu'au moins un import a tourné et que tous ont donné lieu à une erreur</li>\n      <li>La couleur orange indique la présence d'au moins un succès et un échec d'import au cours de la journée</li>\n      <li>La couleur verte indique que tous les imports de la journée sont des succès !</li>\n    </ul>\n  </div>\n</div>\n\n<table class=\"dashboard-heatmap mt-48\">\n  <tbody>\n    <%= for {dataset_id, counts} <- @import_count_by_dataset_and_by_day do %>\n      <tr class=\"dataset\">\n        <th class=\"heatmap-header\">\n          <%= link to: \"#{backoffice_page_path(@conn, :edit, dataset_id)}#imports_history\" ,target: \"_blank\" do %>\n            {dataset_id}\n          <% end %>\n        </th>\n        <%= for {date, import_count, success_count} <- counts do %>\n          <%= content_tag :td, title: date, class: cell_class({import_count, success_count}) do %>\n          <% end %>\n        <% end %>\n      </tr>\n    <% end %>\n  </tbody>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/backoffice/page/_dataset.html.heex",
    "content": "<tr>\n  <td>\n    <img\n      :if={DB.Dataset.climate_resilience_bill?(@dataset)}\n      class=\"icon---climate-resilience-bill small\"\n      src={static_path(@conn, \"/images/loi-climat-resilience.png\")}\n    />\n    <strong>\n      {@dataset.custom_title}\n    </strong>\n    <span :if={@dataset.is_hidden} class=\"label\">{dgettext(\"backoffice\", \"Hidden\")}</span>\n  </td>\n  <td>\n    {@dataset.organization}\n  </td>\n  <td class=\"is-centered\">\n    <a href={dataset_path(@conn, :details, @dataset.slug)} target=\"_blank\">\n      <i class=\"fa fa-link\"></i>\n    </a>\n  </td>\n  <td class=\"is-centered\">\n    <a href={Dataset.datagouv_url(@dataset)} target=\"_blank\">\n      <i class=\"fa fa-link\"></i>\n    </a>\n  </td>\n  <td>\n    {@end_date}\n  </td>\n  <td class=\"bo_action_button\">\n    <%= form_for @conn, backoffice_dataset_path(@conn, :import_from_data_gouv_fr, @dataset.id, @conn.params), [nodiv: true], fn _ -> %>\n      {submit(\"Importer\", class: \"button\", nodiv: true)}\n    <% end %>\n  </td>\n  <td class=\"bo_action_button\">\n    {live_render(@conn, TransportWeb.Live.ValidateDatasetView, session: %{\"dataset_id\" => @dataset.id})}\n  </td>\n  <td class=\"bo_action_button\">\n    <%= form_for @conn, backoffice_page_path(@conn, :edit, @dataset.id), [nodiv: true, method: \"get\"], fn _ -> %>\n      {submit(\"Éditer\", class: \"button\", nodiv: true)}\n    <% end %>\n  </td>\n  <td class=\"bo_action_button\">\n    <%= form_for @conn, backoffice_dataset_path(@conn, :delete, @dataset.id, @conn.params), [nodiv: true], fn _ -> %>\n      {submit(\"Déréférencer\", class: \"button\", nodiv: true)}\n    <% end %>\n  </td>\n</tr>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/backoffice/page/form_dataset.html.heex",
    "content": "<div class=\"pt-48\">\n  {live_render(@conn, TransportWeb.EditDatasetLive,\n    session: %{\n      \"dataset\" => @dataset,\n      \"dataset_types\" => @dataset_types,\n      \"regions\" => @regions,\n      \"csp_nonce_value\" => Plug.Conn.get_session(@conn, :nonce)\n    }\n  )}\n\n  <%= unless is_nil(@dataset) do %>\n    <div class=\"is-centered mt-48\">\n      {dgettext(\"backoffice\", \"Other actions on the dataset\")}\n    </div>\n    <div class=\"backoffice_dataset_actions_buttons\">\n      <div>\n        <%= form_for @conn, backoffice_dataset_path(@conn, :import_from_data_gouv_fr, @dataset.id, Map.put(@conn.params, \"stay_on_page\", true)), [nodiv: true], fn _ -> %>\n          {submit(\"Importer\", class: \"button\", nodiv: true)}\n        <% end %>\n      </div>\n\n      <div>\n        {live_render(@conn, TransportWeb.Live.ValidateDatasetView, session: %{\"dataset_id\" => @dataset.id})}\n      </div>\n\n      <div>\n        <%= form_for @conn, backoffice_dataset_path(@conn, :delete, @dataset.id, @conn.params), [nodiv: true], fn _ -> %>\n          {submit(\"Déréférencer\", class: \"button\", nodiv: true)}\n        <% end %>\n      </div>\n    </div>\n\n    <div id=\"resource_historization\" class=\"dashboard-description mt-48\">\n      <h3>{dgettext(\"backoffice\", \"Resource historization\")}</h3>\n\n      <%= if Dataset.should_skip_history?(@dataset) do %>\n        <p class=\"notification\">\n          {dgettext(\"backoffice\", \"This dataset is not historicized on purpose.\")}\n        </p>\n      <% else %>\n        <% nb_resources = length(@resources_with_history) %>\n        {dngettext(\n          \"backoffice\",\n          \"There is %{n} resource in this dataset\",\n          \"There are %{n} resources in this dataset\",\n          nb_resources,\n          n: Helpers.format_number(nb_resources, locale: get_session(@conn, :locale))\n        )}\n\n        <%= if nb_resources > 0 do %>\n          <table class=\"table\">\n            <tr>\n              <th>{dgettext(\"backoffice\", \"Resource\")}</th>\n              <th>{dgettext(\"backoffice\", \"Last historization\")}</th>\n            </tr>\n            <%= for r <- @resources_with_history do %>\n              <tr>\n                <td>{link(r.title, to: resource_path(@conn, :details, r.id))}</td>\n                <td>\n                  <%= if r.resource_history == [] do %>\n                    🚫\n                  <% else %>\n                    {r.resource_history |> Enum.at(0) |> Map.get(:inserted_at)}\n                  <% end %>\n                </td>\n              </tr>\n            <% end %>\n          </table>\n        <% end %>\n      <% end %>\n    </div>\n\n    <div id=\"resource_format_override\" class=\"dashboard-description mt-48\">\n      <h3>Format d'une ressource</h3>\n      <p>\n        Vous pouvez forcer le format d'une ressource en utilisant ce formulaire.\n      </p>\n      <%= form_for @conn, backoffice_dataset_path(@conn, :resource_format_override, @dataset.id), [], fn f -> %>\n        {select(f, :resource_id, Enum.map(@resources, &[key: \"#{&1.title} - #{&1.format}\", value: &1.id]))}\n        {select(f, :format_override, @resource_formats)}\n        {submit(\"Changer le format\")}\n      <% end %>\n    </div>\n\n    <div id=\"resource_related\" class=\"dashboard-description mt-48\">\n      <h3>Associer 2 ressources</h3>\n      <p>\n        Vous pouvez associer manuellement deux ressources de ce jeu de données.\n      </p>\n      <%= if Enum.count(@resource_related) > 0 do %>\n        <table class=\"table mb-24\">\n          <tr>\n            <th>Ressource de référence</th>\n            <th>Ressource complémentaire</th>\n            <th>Motif</th>\n            <th>Actions</th>\n          </tr>\n          <%= for rr <- @resource_related do %>\n            <tr>\n              <td>\n                {link(rr.resource_src.title, to: resource_path(@conn, :details, rr.resource_src_id))}\n                <span class=\"label\">{rr.resource_src.format}</span>\n              </td>\n              <td>\n                {link(rr.resource_dst.title, to: resource_path(@conn, :details, rr.resource_dst_id))}\n                <span class=\"label\">{rr.resource_dst.format}</span>\n              </td>\n              <td>{DB.ResourceRelated.reason_to_str(rr)}</td>\n              <td>\n                <%= form_for @conn, backoffice_dataset_path(@conn, :resource_related_delete, @dataset.id), [nodiv: true], fn f -> %>\n                  {hidden_input(f, :resource_src_id, value: rr.resource_src_id)}\n                  {hidden_input(f, :resource_dst_id, value: rr.resource_dst_id)}\n                  {hidden_input(f, :reason, value: rr.reason)}\n                  <button class=\"small button-outline no-border warning\">\n                    <i class=\"fas fa-trash\"></i>\n                  </button>\n                <% end %>\n              </td>\n            </tr>\n          <% end %>\n        </table>\n      <% end %>\n      <%= form_for @conn, backoffice_dataset_path(@conn, :resource_related_create, @dataset.id), [], fn f -> %>\n        {label(f, :resource_src_id, \"Ressource de référence\")}\n        {select(f, :resource_src_id, Enum.map(@resources, &[key: \"#{&1.title} - #{&1.format}\", value: &1.id]))}\n        {label(f, :resource_dst_id, \"Ressource complémentaire\")}\n        {select(f, :resource_dst_id, Enum.map(@resources, &[key: \"#{&1.title} - #{&1.format}\", value: &1.id]))}\n        {label(f, :reason, \"Motif\")}\n        {select(\n          f,\n          :reason,\n          Enum.map(\n            Ecto.Enum.values(DB.ResourceRelated, :reason),\n            &[key: DB.ResourceRelated.reason_to_str(%DB.ResourceRelated{reason: &1}), value: &1]\n          )\n        )}\n        {submit(\"Associer\")}\n      <% end %>\n    </div>\n\n    <div id=\"notification_subscriptions\" class=\"dashboard-description mt-48\">\n      <h3>Abonnements aux notifications des producteurs</h3>\n\n      <h4>Créer un abonnement</h4>\n      <%= form_for @conn, backoffice_notification_subscription_path(@conn, :create), [], fn f -> %>\n        {hidden_input(f, :redirect_location, value: \"dataset\")}\n        {hidden_input(f, :dataset_id, value: @dataset.id)}\n        <%= label f, :contact_id do %>\n          Contact {text_input(f, :contact_id, required: true, list: \"contacts_datalist\", pattern: \"[0-9]+\")}\n          <div class=\"small\">\n            <a href={backoffice_contact_path(@conn, :new)} target=\"_blank\">\n              <i class=\"fas fa-external-link\"></i> Créer un contact\n            </a>\n          </div>\n          <div :if={Enum.count(@contacts_in_org) > 0}>\n            <p>\n              Producteurs s’étant déjà connectés au PAN\n            </p>\n            <ul>\n              <%= for contact <- @contacts_in_org do %>\n                <% onclick_fn = ~s{getElementById(\"contact_id\").value =} <> to_string(contact.id) %>\n                <li class=\"pb-6\">\n                  <a href={backoffice_contact_path(@conn, :edit, contact.id)} target=\"_blank\">\n                    <i class=\"fas fa-external-link\"></i> {DB.Contact.display_name(contact)}\n                  </a>\n                  <span class=\"small\">{\"(##{contact.id})\"}</span>\n                  <button type=\"button\" class=\"button-outline small primary\" onclick={onclick_fn}>Sélectionner</button>\n                </li>\n              <% end %>\n            </ul>\n          </div>\n        <% end %>\n        <datalist id=\"contacts_datalist\">\n          <%= for contact <- @contacts_datalist do %>\n            <% display_name = DB.Contact.display_name(contact) %>\n            <% unaccent_display_name = unaccent(display_name) %>\n            <option value={contact.id}>{display_name} ({contact.organization})</option>\n            <option :if={display_name != unaccent_display_name} value={contact.id}>\n              {unaccent_display_name} ({contact.organization})\n            </option>\n          <% end %>\n        </datalist>\n        <%= label f, :reasons, class: \"pt-12\" do %>\n          {dgettext(\"backoffice\", \"Notification reason\")}\n          <%= for reason <- Transport.NotificationReason.subscribable_reasons_related_to_datasets(:producer) do %>\n            <%= label f, reason do %>\n              {checkbox(f, reason, hidden_input: false, value: true)}\n              {reason}\n            <% end %>\n          <% end %>\n        <% end %>\n\n        {submit(\"Créer un abonnement\")}\n      <% end %>\n      <h4 id=\"existing_subscriptions\">{dgettext(\"backoffice\", \"Existing subscriptions\")}</h4>\n      <table :if={Enum.count(@dataset.notification_subscriptions) > 0} id=\"existing_subscriptions_table\" class=\"table\">\n        <tr>\n          <th>Contact</th>\n          <th>{dgettext(\"backoffice\", \"Notification reason\")}</th>\n          <th>Source</th>\n          <th>Actions</th>\n        </tr>\n        <%= for {contact, notification_subscriptions} <- @subscriptions_by_producer do %>\n          <%= for {notification_subscription, index} <- Enum.with_index(notification_subscriptions) do %>\n            <tr>\n              <td :if={index == 0} rowspan={Enum.count(notification_subscriptions)}>\n                <a href={backoffice_contact_path(@conn, :edit, contact.id)}>\n                  {notification_subscription_contact(notification_subscription)}\n                </a>\n\n                <div class=\"inline-block\">\n                  <%= form_for @conn, backoffice_notification_subscription_path(@conn, :delete_for_contact_and_dataset, contact.id, @dataset.id), [method: \"delete\"], fn f -> %>\n                    {hidden_input(f, :redirect_location, value: \"dataset\")}\n                    <button class=\"small button-outline no-border warning\" title=\"désabonner entièrement\">\n                      <i class=\"fa-solid fa-xmark\"></i>\n                    </button>\n                  <% end %>\n                </div>\n              </td>\n              <td>{notification_subscription.reason}</td>\n              <td>{notification_subscription.source}</td>\n              <td>\n                <%= form_for @conn, backoffice_notification_subscription_path(@conn, :delete, notification_subscription.id), [method: \"delete\"], fn f -> %>\n                  {hidden_input(f, :redirect_location, value: \"dataset\")}\n                  <button class=\"small button-outline no-border warning\">\n                    <i class=\"fas fa-trash\"></i>\n                  </button>\n                <% end %>\n              </td>\n            </tr>\n          <% end %>\n        <% end %>\n      </table>\n      <p :if={Enum.count(@dataset.notification_subscriptions) > 0} class=\"small\">\n        Cette liste ne concerne que les producteurs.\n      </p>\n      <p :if={@reusers_count > 0} id=\"reuser_subscriptions\">\n        {dngettext(\n          \"backoffice\",\n          \"reuser-subscription-count\",\n          \"reuser-subscriptions-count\",\n          @reuser_subscriptions_count,\n          reuser_subscriptions_count:\n            Helpers.format_number(@reuser_subscriptions_count, locale: get_session(@conn, :locale))\n        )}\n        {dngettext(\n          \"backoffice\",\n          \"reuser-count\",\n          \"reusers-count\",\n          @reusers_count,\n          reusers_count: Helpers.format_number(@reusers_count, locale: get_session(@conn, :locale))\n        )}\n      </p>\n      <p :if={Enum.empty?(@dataset.notification_subscriptions)} class=\"mt-48 notification\">\n        {dgettext(\"backoffice\", \"There are no notification subscriptions for this contact.\")}\n      </p>\n      <div :if={Enum.count(@dataset.notification_subscriptions) > 0}>\n        {live_render(@conn, TransportWeb.Live.SendNowOnNAPNotificationView,\n          session: %{\n            \"dataset_id\" => @dataset.id,\n            \"sent_reasons\" =>\n              @notifications_sent |> Enum.map(fn {{reason, _datetime}, _emails} -> reason end) |> Enum.uniq()\n          }\n        )}\n      </div>\n    </div>\n    <div :if={Enum.count(@notifications_sent) > 0} id=\"notifications_sent\" class=\"dashboard-description mt-48\">\n      <h3>{dgettext(\"backoffice\", \"Notifications sent\")}</h3>\n\n      <p>\n        {dgettext(\"backoffice\", \"Notifications sent in the last %{nb_days} days.\", nb_days: @notifications_last_nb_days)}\n      </p>\n      <table class=\"table\">\n        <tr>\n          <th>{dgettext(\"backoffice\", \"Notification reason\")}</th>\n          <th>{dgettext(\"backoffice\", \"Datetime\")}</th>\n          <th>{dgettext(\"backoffice\", \"Emails\")}</th>\n        </tr>\n        <%= for {{reason, datetime}, emails} <- @notifications_sent do %>\n          <tr>\n            <td lang=\"en\">{reason}</td>\n            <td>{Shared.DateTimeDisplay.format_datetime_to_paris(datetime, \"fr\")}</td>\n            <td>{emails |> Enum.sort() |> Enum.join(\", \")}</td>\n          </tr>\n        <% end %>\n      </table>\n    </div>\n    <div class=\"dataset_import_validations_logs\" id=\"imports_history\">\n      <h3>{dgettext(\"backoffice\", \"Imports history\")}</h3>\n      <table>\n        <tr>\n          <th>{dgettext(\"backoffice\", \"date / time\")}</th>\n          <th>{dgettext(\"backoffice\", \"success\")}</th>\n          <th>{dgettext(\"backoffice\", \"error message\")}</th>\n        </tr>\n        <%= for row <- @import_logs do %>\n          <tr>\n            <td>{row.timestamp}</td>\n            <td>{if row.is_success, do: \"✔\", else: \"\"}</td>\n            <td>{row.error_msg}</td>\n          </tr>\n        <% end %>\n      </table>\n    </div>\n  <% end %>\n</div>\n<div class=\"pt-48\"></div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/backoffice/page/index.html.heex",
    "content": "<section class=\"container pt-48 pb-48\">\n  <h1>Backoffice</h1>\n  <h2>Outils d'observation</h2>\n\n  <% # See path explanation at https://elixirforum.com/t/scoped-live-view-does-not-seem-to-generate-a-live-path-helper/31162/4?u=thbar %>\n  <a class=\"button\" href={backoffice_live_path(@conn, TransportWeb.Backoffice.ProxyConfigLive)}>\n    {dgettext(\"backoffice\", \"Proxy configuration\")}\n  </a>\n\n  <a class=\"button\" href={backoffice_live_path(@conn, TransportWeb.Backoffice.JobsLive)}>\n    {dgettext(\"backoffice\", \"Jobs\")}\n  </a>\n\n  <a class=\"button\" href={backoffice_dashboard_path(@conn, :index)}>\n    {dgettext(\"backoffice\", \"Rapport de complétude des imports\")}\n  </a>\n\n  <a class=\"button\" href={backoffice_broken_urls_path(@conn, :index)}>\n    {dgettext(\"backoffice\", \"Changements d'URLs stables\")}\n  </a>\n\n  <a class=\"button\" href={backoffice_live_path(@conn, TransportWeb.Backoffice.CacheLive)}>\n    {dgettext(\"backoffice\", \"Cache debug\")}\n  </a>\n\n  <a class=\"button\" href={backoffice_live_path(@conn, TransportWeb.Backoffice.RateLimiterLive)}>\n    {dgettext(\"backoffice\", \"Rate limiter\")}\n  </a>\n\n  <a class=\"button\" href={backoffice_live_path(@conn, TransportWeb.Backoffice.DataImportBatchReportLive)}>\n    {dgettext(\"backoffice\", \"GTFS data import\")}\n  </a>\n\n  <a class=\"button\" href={live_dashboard_path(@conn, :home)}>\n    {dgettext(\"backoffice\", \"Phoenix LiveDashboard\")}\n  </a>\n\n  <a class=\"button\" href={aoms_path(@conn, :index)}>\n    {dgettext(\"backoffice\", \"AOM open data status\")}\n  </a>\n\n  <a class=\"button\" href={backoffice_live_path(@conn, TransportWeb.Backoffice.IRVEDashboardLive)}>\n    {dgettext(\"backoffice\", \"IRVE dashboard\")}\n  </a>\n\n  <a class=\"button\" href={backoffice_live_path(@conn, TransportWeb.Backoffice.EmailPreviewLive)}>\n    {dgettext(\"backoffice\", \"Email preview\")}\n  </a>\n  <h2>Actions</h2>\n\n  <a class=\"button\" href={backoffice_page_path(@conn, :new)}>\n    <i class=\"fas fa-plus\"></i> {dgettext(\"backoffice\", \"Add a dataset\")}\n  </a>\n  <div class=\"import-all\">\n    <%= form_for @conn, backoffice_dataset_path(@conn, :import_validate_all), [method: \"post\"], fn _f -> %>\n      {submit(dgettext(\"backoffice\", \"Import all datasets from data.gouv\"))}\n    <% end %>\n  </div>\n  <div>\n    <a\n      class=\"button warning-light\"\n      href={backoffice_breaking_news_path(@conn, :index)}\n      title=\"Afficher un message sur la home du site\"\n    >\n      Publier une Breaking News\n    </a>\n  </div>\n  <div>\n    <a class=\"button\" href={backoffice_contact_path(@conn, :index)} title=\"Gérer les contacts\">\n      👥 Gestion des contacts\n    </a>\n  </div>\n\n  <h2>Exports</h2>\n  <div>\n    <a\n      class=\"button\"\n      href={\n        backoffice_page_path(@conn, :download_datasets_csv, %{\n          \"export_key\" => Application.fetch_env!(:transport, :export_secret_key)\n        })\n      }\n      title=\"Export CSV des jeux de données\"\n    >\n      📦 Export des jeux de données\n    </a>\n    <a\n      class=\"button\"\n      href={\n        backoffice_page_path(@conn, :download_resources_csv, %{\n          \"export_key\" => Application.fetch_env!(:transport, :export_secret_key)\n        })\n      }\n      title=\"Export CSV des ressources\"\n    >\n      🗳 Export des ressources\n    </a>\n    <a class=\"button\" href={backoffice_gtfs_export_path(@conn, :export)} title=\"Export CSV des GTFS\">\n      🚏 Export des arrêts GTFS\n    </a>\n    <a class=\"button\" href={backoffice_contact_path(@conn, :csv_export)} title=\"Export CSV des contacts\">\n      📓 Export des contacts\n    </a>\n  </div>\n\n  <h2>Consolidation BNLC</h2>\n  <div>\n    {live_render(@conn, TransportWeb.Live.SendConsolidateJobView,\n      session: %{\n        \"button_texts\" => %{\n          sent: \"Rapport disponible par e-mail\",\n          dispatched: \"Consolidation en cours\",\n          default: \"🧪 Consolider à blanc\"\n        },\n        \"button_default_class\" => \"button\",\n        \"job_module\" => Transport.Jobs.ConsolidateBNLCJob,\n        \"job_args\" => %{}\n      }\n    )}\n  </div>\n  <div>\n    {live_render(@conn, TransportWeb.Live.SendConsolidateJobView,\n      session: %{\n        \"button_texts\" => %{\n          sent: \"Fichier mis à jour et rapport envoyé\",\n          dispatched: \"Consolidation en cours\",\n          default: \"📥 Consolider et remplacer sur data.gouv.fr\"\n        },\n        \"button_default_class\" => \"button warning-light\",\n        \"job_module\" => Transport.Jobs.ConsolidateBNLCJob,\n        \"job_args\" => %{\"action\" => \"datagouv_update\"}\n      }\n    )}\n  </div>\n\n  <h2>Consolidation ZFE</h2>\n  <div>\n    {live_render(@conn, TransportWeb.Live.SendConsolidateJobView,\n      session: %{\n        \"button_texts\" => %{\n          sent: \"Fichiers mis à jour\",\n          dispatched: \"Consolidation en cours\",\n          default: \"📥 Consolider et remplacer sur data.gouv.fr\"\n        },\n        \"button_default_class\" => \"button warning-light\",\n        \"job_module\" => Transport.Jobs.ConsolidateLEZsJob,\n        \"job_args\" => %{}\n      }\n    )}\n  </div>\n\n  <h2>{dgettext(\"backoffice\", \"Validations\")}</h2>\n  <div>\n    <%= form_for @conn, backoffice_dataset_path(@conn, :force_validate_gtfs_transport), [class: \"no-margin\"], fn _f -> %>\n      {submit(dgettext(\"backoffice\", \"GTFS Transport validator - Force validation\"))}\n    <% end %>\n  </div>\n  <h1 class=\"pt-48\">\n    <a name=\"list_datasets\" href=\"#list_datasets\" class=\"anchor\"></a>\n    {dgettext(\"backoffice\", \"Valid datasets available\")}\n  </h1>\n\n  <%= form_for @conn, backoffice_page_path(@conn, :index), [id: \"backoffice_search_container\", method: \"get\"], fn f -> %>\n    {search_input(f, :q,\n      id: \"backoffice_search\",\n      value: assigns[:q] || \"\",\n      placeholder: dgettext(\"page-index\", \"Find dataset\")\n    )}\n    <button type=\"submit\" class=\"button backoffice_search_button\"><i class=\"fa fa-search\"></i></button>\n  <% end %>\n\n  <div class=\"pt-24\">\n    <%= if is_nil(@conn.params[\"filter\"]) or @conn.params[\"filter\"] == \"\" do %>\n      -- ou -- <br />\n      {dgettext(\"backoffice\", \"Show only datasets\")} :\n      <div class=\"pl-12\">\n        <div>\n          {link(dgettext(\"backoffice\", \"Outdated\"),\n            to: \"#{backoffice_page_path(@conn, :index, %{\"filter\" => \"outdated\"})}#list_datasets\"\n          )}\n        </div>\n        <div>\n          {link(dgettext(\"backoffice\", \"Deleted\"),\n            to: \"#{backoffice_page_path(@conn, :index, %{\"filter\" => \"inactive\"})}#list_datasets\"\n          )}\n        </div>\n        <div>\n          {link(dgettext(\"backoffice\", \"Archived\"),\n            to: \"#{backoffice_page_path(@conn, :index, %{\"filter\" => \"archived\"})}#list_datasets\"\n          )}\n        </div>\n        <div>\n          {link(dgettext(\"backoffice\", \"Hidden datasets\"),\n            to: \"#{backoffice_page_path(@conn, :index, %{\"filter\" => \"hidden\"})}#list_datasets\"\n          )}\n        </div>\n        <div>\n          {link(dgettext(\"backoffice\", \"GTFS with fatal failure\"),\n            to: \"#{backoffice_page_path(@conn, :index, %{\"filter\" => \"not_compliant\"})}#list_datasets\"\n          )}\n        </div>\n        <div>\n          {link(dgettext(\"backoffice\", \"With licence unspecified\"),\n            to: \"#{backoffice_page_path(@conn, :index, %{\"filter\" => \"licence_not_specified\"})}#list_datasets\"\n          )}\n        </div>\n        <div>\n          {link(dgettext(\"backoffice\", \"With more than 1 GTFS\"),\n            to: \"#{backoffice_page_path(@conn, :index, %{\"filter\" => \"multi_gtfs\"})}#list_datasets\"\n          )}\n        </div>\n        <div>\n          {link(dgettext(\"backoffice\", \"With a resource not available\"),\n            to: \"#{backoffice_page_path(@conn, :index, %{\"filter\" => \"resource_not_available\"})}#list_datasets\"\n          )}\n        </div>\n        <div>\n          {link(dgettext(\"backoffice\", \"With a resource under 90% availability\"),\n            to: \"#{backoffice_page_path(@conn, :index, %{\"filter\" => \"resource_under_90_availability\"})}#list_datasets\"\n          )}\n        </div>\n      </div>\n    <% else %>\n      {link(dgettext(\"backoffice\", \"Show all datasets\"), to: \"#{backoffice_page_path(@conn, :index)}#list_datasets\")}\n    <% end %>\n  </div>\n\n  <div class=\"pt-48\" id=\"backoffice-datasets-table\">\n    {pagination_links(@conn, @datasets)}\n  </div>\n  <table class=\"backoffice-results\">\n    <tr>\n      <th class=\"sortable\">{backoffice_sort_link(@conn, \"Dataset\", :custom_title, @order_by)}</th>\n      <th class=\"sortable\">{backoffice_sort_link(@conn, \"Organisation\", :organization, @order_by)}</th>\n      <th>transport</th>\n      <th>data.gouv.fr</th>\n      <th class=\"sortable\">{backoffice_sort_link(@conn, \"Fin de validité\", :end_date, @order_by)}</th>\n      <th class=\"bo_action_button\"></th>\n      <th class=\"bo_action_button\"></th>\n      <th class=\"bo_action_button\"></th>\n      <th class=\"bo_action_button\"></th>\n    </tr>\n    <%= for dataset <- @datasets do %>\n      {render(TransportWeb.Backoffice.PageView, \"_dataset.html\",\n        dataset: dataset,\n        end_date: Map.get(@end_dates, dataset.id),\n        conn: @conn\n      )}\n    <% end %>\n  </table>\n  <div class=\"pt-48\">\n    {pagination_links(@conn, @datasets)}\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_banner.html.heex",
    "content": "<p :if={experimental?(@dataset)} class=\"notification warning mt-0\">\n  ⚠️ {dgettext(\n    \"page-dataset-details\",\n    \"This unofficial dataset is provided experimentally. Do not use it for travel information purpose.\"\n  )}\n</p>\n<p :if={seasonal_warning?(@dataset)} class=\"notification mt-0\">\n  ℹ️ {dgettext(\n    \"page-dataset-details\",\n    \"This transport service operates seasonally. The associated resources may be outdated depending on the time of year. Contact the data producer through Discussions for more information.\"\n  )}\n</p>\n<p :if={authentication_required?(@dataset)} class=\"notification mt-0\">\n  ℹ️ {dgettext(\n    \"page-dataset-details\",\n    \"The producer requires authentication to access the data. Consequently, some features on transport.data.gouv.fr, such as data availability, validations, and metadata, are unavailable for this dataset. Please follow the producer's instructions to gain access to the data.\"\n  )}\n</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_community_resources.html.heex",
    "content": "<section class=\"pt-48\" id=\"community-resources\">\n  <h2>{dgettext(\"page-dataset-details\", \"Community resources\")}</h2>\n  <section class=\"dataset__resources\">\n    <div class=\"information-message\">\n      <% odbl_text =\n        if @dataset.licence == \"odc-odbl\" do\n          dgettext(\n            \"page-dataset-details\",\n            \", in accordance with the share-alike clause (article 4.4) of <a href=\\\"%{doc_link}\\\" target=\\\"_blank\\\">the ODbL License</a>\",\n            doc_link:\n              \"https://doc.transport.data.gouv.fr/presentation-et-mode-demploi-du-pan/conditions-dutilisation-des-donnees/licence-odbl#conditions-particulieres-dutilisation\"\n          )\n        else\n          \"\"\n        end %>\n      {dgettext(\n        \"page-dataset-details\",\n        ~s|Reusers can share in this section edits made on resources%{odbl_text}. <a href=\"%{datagouv_link}\" target=\"_blank\">Publish your own ressource</a> on data.gouv.fr or <a href=\"%{doc_link}\" target=\"_blank\">browse our documentation.</a>|,\n        datagouv_link: publish_community_resource_url(@dataset),\n        doc_link: \"https://doc.transport.data.gouv.fr/reutilisations-des-donnees/procedures-de-repartage-des-donnees\",\n        odbl_text: odbl_text\n      )\n      |> raw()}\n    </div>\n  </section>\n\n  <div class=\"ressources-list\">\n    <%= for community_resource <- community_resources(@dataset) do %>\n      {render(\"_community_ressource.html\", resource: community_resource)}\n    <% end %>\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_community_ressource.html.heex",
    "content": "<div class=\"panel resource\">\n  <h4 class=\"pb-24\">\n    {@resource.title}\n  </h4>\n  <div class=\"light-grey\">\n    <%= if @resource.community_resource_publisher do %>\n      {dgettext(\"community_resource\", \"by\")}\n      <strong class=\"community-resource-source\">{@resource.community_resource_publisher}</strong>\n    <% end %>\n    <div class=\"pb-24\">{description(@resource)}</div>\n  </div>\n  <div class=\"community-resource-download\">\n    <a href={DB.Resource.download_url(@resource)}>\n      <button class=\"button-outline primary small\">\n        <i class=\"icon icon--download\" aria-hidden=\"true\"></i>{dgettext(\"page-dataset-details\", \"Download\")}\n      </button>\n    </a>\n  </div>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_custom_message.html.heex",
    "content": "<div class=\"container container_max_700px\">\n  <div class=\"panel mb-24\" id=\"custom-message\">\n    {markdown_to_safe_html!(@msg)}\n  </div>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_dataset_resources_history.html.heex",
    "content": "<% has_validity_period_col = has_validity_period?(@history_resources) %>\n<section :if={Enum.count(@history_resources) > 0} class=\"white pt-48\" id=\"backed-up-resources\">\n  <h3>{dgettext(\"page-dataset-details\", \"Backed up resources\")}</h3>\n  <div class=\"panel\">\n    <div id=\"backed-up-resources-see-more-wrapper\">\n      <table class=\"table\">\n        <thead>\n          <tr>\n            <th>{dgettext(\"page-dataset-details\", \"File\")}</th>\n            <th>{dgettext(\"page-dataset-details\", \"Publication date\")}</th>\n            <%= if has_validity_period_col do %>\n              <th>\n                {dgettext(\"page-dataset-details\", \"Validity period\")}\n              </th>\n            <% end %>\n            <th>{dgettext(\"page-dataset-details\", \"Format\")}</th>\n          </tr>\n        </thead>\n        <tbody>\n          <%= for resource_history <- @history_resources do %>\n            <tr>\n              <td>\n                {link(resource_history.payload[\"title\"],\n                  to: resource_history.payload[\"permanent_url\"],\n                  rel: \"nofollow\"\n                )}\n              </td>\n              <td>{resource_history.inserted_at |> DateTimeDisplay.format_datetime_to_date(@locale)}</td>\n              <%= if has_validity_period_col do %>\n                <%= if has_validity_period?(resource_history) do %>\n                  <td>\n                    {dgettext(\n                      \"page-dataset-details\",\n                      \"%{start} to %{end}\",\n                      start:\n                        resource_history\n                        |> validity_period()\n                        |> Map.get(\"start_date\")\n                        |> DateTimeDisplay.format_date(@locale),\n                      end:\n                        resource_history\n                        |> validity_period()\n                        |> Map.get(\"end_date\")\n                        |> DateTimeDisplay.format_date(@locale)\n                    )}\n                  </td>\n                <% else %>\n                  <td></td>\n                <% end %>\n              <% end %>\n              <td><span class=\"label\">{resource_history.payload[\"format\"]}</span></td>\n            </tr>\n          <% end %>\n        </tbody>\n      </table>\n\n      <%= if Enum.count(@history_resources) == max_nb_history_resources() do %>\n        <p class=\"small\">\n          {dgettext(\"page-dataset-details\", \"Displaying the last %{nb} backed up resources.\",\n            nb: max_nb_history_resources()\n          )}\n        </p>\n      <% end %>\n    </div>\n    <div class=\"pt-12\">\n      <a\n        class=\"button-outline small secondary\"\n        href={dataset_path(@conn, :resources_history_csv, @dataset_id)}\n        data-tracking-category=\"dataset_details\"\n        data-tracking-action=\"download_resources_history_csv\"\n        rel=\"nofollow\"\n      >\n        <i class=\"icon icon--download\" aria-hidden=\"true\"></i>{dgettext(\n          \"page-dataset-details\",\n          \"Download history details\"\n        )}\n      </a>\n    </div>\n  </div>\n</section>\n\n<script>\n  document.addEventListener(\"DOMContentLoaded\", function() {\n    addSeeMore(\"280px\",\n      \"#backed-up-resources-see-more-wrapper\",\n      \"<%= dgettext(\"page-dataset-details\", \"Display more\") %>\",\n      \"<%= dgettext(\"page-dataset-details\", \"Display less\") %>\",\n      \"resource_history\"\n    )\n  })\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_dataset_scores_chart.html.heex",
    "content": "<section id=\"quality-indicators\">\n  <h2>{dgettext(\"page-dataset-details\", \"Quality indicators\")}</h2>\n  <div class=\"panel\">\n    <div id=\"vega-vis\"></div>\n    <h5>{dgettext(\"page-dataset-details\", \"Latest quality indicators\")}</h5>\n    <table class=\"table\">\n      <tr>\n        <%= for {topic, _} <- @latest_scores do %>\n          <th>{topic |> DB.DatasetScore.topic_for_humans() |> String.capitalize()}</th>\n        <% end %>\n      </tr>\n      <tr>\n        <%= for {_, score} <- @latest_scores do %>\n          <td>{score}%</td>\n        <% end %>\n      </tr>\n    </table>\n    <p>\n      {raw(\n        dgettext(\n          \"page-dataset-details\",\n          ~s[transport.data.gouv.fr computes quality indicators daily to assess the quality of the published data. <i class=\"fa fa-external-link-alt\"></i> <a href=\"%{doc_url}\" target=\"_blank\">Learn more</a>.],\n          doc_url: \"https://doc.transport.data.gouv.fr/outils/outils-disponibles-sur-le-pan/indicateurs-de-qualite\"\n        )\n      )}\n    </p>\n  </div>\n</section>\n\n<script src={static_path(@conn, \"/js/vega.js\")} nonce={@conn.assigns[:csp_nonce_value]} />\n<script nonce={@conn.assigns[:csp_nonce_value]}>\n  const spec = <%= raw Jason.encode!(@scores_chart) %>;\n\n  // Make sure the chart has got the appropriate width.\n  // It may be too large at the beginning, listen to resize\n  // events and rerender the chart.\n  // https://talk.observablehq.com/t/embedding-vega-lite-charts-that-have-width-value-set-to-container-leads-to-null-width-until-window-is-resized/6120/6\n  // https://github.com/vega/react-vega/issues/85#issuecomment-1826421132\n  new ResizeObserver(() => {\n    window.dispatchEvent(new Event(\"resize\"));\n  }).observe(document.getElementById(\"vega-vis\"));\n\n  window.vegaEmbed(\"#vega-vis\", spec, {renderer: \"svg\"});\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_dataset_type.html.heex",
    "content": "<div class=\"dataset-type-info\">\n  <%= unless is_nil(@icon) do %>\n    <span class=\"dataset-icon-type\">\n      {img_tag(@icon, alt: @text)}\n    </span>\n  <% end %>\n  <a href={@link}>\n    <b>{@text}</b>\n  </a>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_discussion.html.heex",
    "content": "<div class=\"discussion\" id={\"discussion-#{@discussion[\"id\"]}\"}>\n  <div class=\"discussion-title\">\n    <h4><i class=\"icon fas fa-comments\"></i>{@discussion[\"title\"]}</h4>\n\n    <span class=\"discussion-date\">\n      {DateTimeDisplay.format_date(@discussion[\"created\"], @locale, iso_extended: true)}\n    </span>\n  </div>\n\n  <div id={\"comments-discussion-#{@discussion[\"id\"]}\"}>\n    <%= for comment <- @discussion[\"discussion\"] do %>\n      <% is_producer = comment[\"posted_by\"][\"id\"] in @org_member_ids %>\n      <% is_admin = comment[\"posted_by\"][\"id\"] in @admin_member_ids %>\n      <% is_regulator = comment[\"posted_by\"][\"id\"] in @regulator_member_ids %>\n      <% avatar_src =\n        cond do\n          user_avatar = comment[\"posted_by\"][\"avatar_thumbnail\"] -> user_avatar\n          is_producer and not is_nil(@org_logo_thumbnail) -> @org_logo_thumbnail\n          true -> \"https://www.data.gouv.fr/api/1/avatars/#{comment[\"posted_by\"][\"id\"]}/52\"\n        end %>\n      <% commenter_full_name = comment[\"posted_by\"][\"first_name\"] <> \" \" <> comment[\"posted_by\"][\"last_name\"] %>\n      <div class=\"discussion-comment\">\n        <div>\n          <img src={avatar_src} alt={commenter_full_name} />\n        </div>\n        <div>\n          <div class=\"discussion-comment__header\">\n            <a href={comment[\"posted_by\"][\"page\"]}>{commenter_full_name}</a>\n            <span :if={is_producer} class=\"label label--role\">\n              {dgettext(\"page-dataset-details\", \"data producer\")}\n            </span>\n            <span :if={is_admin} class=\"label label--role\">\n              transport.data.gouv.fr\n            </span>\n            <span :if={is_regulator} class=\"label label--role\">\n              {dgettext(\"page-dataset-details\", \"Regulator\")}\n            </span>\n            <span class=\"discussion-date\">\n              {dgettext(\"page-dataset-details\", \"Posted on %{datetime}\",\n                datetime: DateTimeDisplay.format_datetime_to_paris(comment[\"posted_on\"], @locale, no_timezone: true)\n              )}\n            </span>\n          </div>\n          <div class=\"discussion-comment__content\">\n            {MarkdownHandler.markdown_to_safe_html!(comment[\"content\"])}\n          </div>\n        </div>\n      </div>\n    <% end %>\n\n    <div :if={@discussion[\"closed\"]} class=\"discussion-form\">\n      <div class=\"notification warning\">\n        <i class=\"fa fa-xmark\"></i>\n        {dgettext(\"page-dataset-details\", \"This discussion is closed\")}\n      </div>\n    </div>\n\n    <div :if={not is_nil(@current_user) and is_nil(@discussion[\"closed\"])} class=\"discussion-form\">\n      <% current_user_in_org = @current_user[\"id\"] in @org_member_ids %>\n      <a href={\"#reply-#{@discussion[\"id\"]}\"} class=\"button-outline primary small\">\n        <i class=\"fa fa-reply\"></i>\n        <%= if current_user_in_org do %>\n          {dgettext(\"page-dataset-details\", \"Respond or close\")}\n        <% else %>\n          {dgettext(\"page-dataset-details\", \"Respond\")}\n        <% end %>\n      </a>\n      <div id={\"reply-#{@discussion[\"id\"]}\"} class=\"discussion-modal\">\n        <%= form_for %{}, discussion_path(@socket, :post_answer, @dataset.datagouv_id, @discussion[\"id\"]), fn f -> %>\n          {textarea_autoexpand(f, :comment)}\n          {hidden_input(f, :dataset_slug, value: @dataset.slug)}\n          <div class=\"form__group\">\n            <button class=\"button\" name=\"anwser\" type=\"submit\">\n              {dgettext(\"page-dataset-details\", \"Respond\")}\n            </button>\n            <button :if={current_user_in_org} class=\"button secondary\" name=\"answer_and_close\" type=\"submit\">\n              {dgettext(\"page-dataset-details\", \"Respond and close\")}\n            </button>\n          </div>\n        <% end %>\n      </div>\n    </div>\n  </div>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_header_links.html.heex",
    "content": "<div data-section=\"dataset-header-links\">\n  <%= if TransportWeb.Session.admin?(@conn) do %>\n    <i class=\"fa fa-external-link-alt\"></i>\n    {link(\"Backoffice\", to: backoffice_page_path(@conn, :edit, @dataset.id))} &middot;\n  <% end %>\n  <i class=\"fa fa-external-link-alt\"></i>\n  <%= if @current_user do %>\n    <%= if @is_producer do %>\n      {link(dgettext(\"default\", \"Producer space\"),\n        to: espace_producteur_path(@conn, :edit_dataset, @dataset.id, utm_campaign: \"dataset_details\"),\n        target: \"_blank\"\n      )}\n    <% else %>\n      <%= if @follows_dataset do %>\n        {link(dgettext(\"default\", \"Reuser space\"),\n          to: reuser_space_path(@conn, :datasets_edit, @dataset.id, utm_campaign: \"dataset_details\"),\n          target: \"_blank\"\n        )}\n      <% else %>\n        {link(dgettext(\"default\", \"Reuser space\"),\n          to: reuser_space_path(@conn, :espace_reutilisateur, utm_campaign: \"dataset_details\"),\n          target: \"_blank\"\n        )}\n      <% end %>\n    <% end %>\n  <% else %>\n    {link(dgettext(\"default\", \"Reuser space\"),\n      to: page_path(@conn, :infos_reutilisateurs, utm_campaign: \"dataset_details\"),\n      target: \"_blank\"\n    )}\n  <% end %>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_history_message.html.heex",
    "content": "<%= if @count_history_resources > 0 do %>\n  <% link_history =\n    safe_to_string(link(dgettext(\"page-dataset-details\", \"Backed up resources\"), to: \"#backed-up-resources\")) %>\n  <section class=\"dataset__resources\">\n    <p class=\"information-message\">\n      {raw(\n        dgettext(\"page-dataset-details\", \"Past versions of the dataset resources are available in the %{link} section.\",\n          link: link_history\n        )\n      )}\n    </p>\n  </section>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_licence.html.heex",
    "content": "<span class=\"dataset-metas-info-title\">{dgettext(\"page-dataset-details\", \"Licence\")}</span>\n<br />\n<b>\n  <%= if licence_url(@dataset.licence) do %>\n    {link(licence(@dataset), to: licence_url(@dataset.licence))}\n  <% else %>\n    {licence(@dataset)}\n  <% end %>\n  <%= if @dataset.licence == \"odc-odbl\" do %>\n    <%= if display_odbl_osm_conditions?(@dataset) do %>\n      &#32 {dgettext(\"page-dataset-details\", \"and \")}\n      {link(dgettext(\"page-dataset-details\", \"OSM community guidelines\"),\n        to: \"https://wiki.osmfoundation.org/wiki/Licence/Community_Guidelines\"\n      )}\n    <% else %>\n      &#32 {dgettext(\"page-dataset-details\", \"and \")}\n      {link(dgettext(\"page-dataset-details\", \"Specific usage conditions\"),\n        to:\n          \"https://doc.transport.data.gouv.fr/presentation-et-mode-demploi-du-pan/conditions-dutilisation-des-donnees/licence-odbl\"\n      )}\n    <% end %>\n  <% end %>\n</b>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_notifications_sent.html.heex",
    "content": "<section class=\"white pt-48\" id=\"notifications-sent\">\n  <h2>{dgettext(\"page-dataset-details\", \"Notifications sent\")}</h2>\n  <div class=\"panel\">\n    <p>\n      {dgettext(\n        \"page-dataset-details\",\n        ~s(transport.data.gouv.fr automatically sends notifications to data producers in order to improve the quality of data. The following notifications have been sent in the last %{nb} days.),\n        nb: days_notifications_sent()\n      )}\n    </p>\n    <div id=\"notifications-sent-content\">\n      <table class=\"table\">\n        <thead>\n          <tr>\n            <th>{dgettext(\"page-dataset-details\", \"Notification reason\")}</th>\n            <th>{dgettext(\"page-dataset-details\", \"Details\")}</th>\n            <th>{dgettext(\"page-dataset-details\", \"Date\")}</th>\n          </tr>\n        </thead>\n        <tbody>\n          <.notification_sent :for={notification <- @notifications_sent} notification={notification} locale={@locale} />\n        </tbody>\n      </table>\n    </div>\n    <p>\n      ℹ️ {raw(\n        dgettext(\n          \"page-dataset-details\",\n          ~s(If you are a data producer, you can <a href=\"%{url}\" target=\"_blank\">manage how you receive these notifications</a> from your Producer section.),\n          url:\n            \"https://doc.transport.data.gouv.fr/administration-des-donnees/procedures-de-publication/gerer-la-qualite-des-donnees#sinscrire-aux-notifications\"\n        )\n      )}\n    </p>\n  </div>\n</section>\n\n<script>\n  document.addEventListener(\"DOMContentLoaded\", function() {\n    addSeeMore(\"15em\",\n      \"#notifications-sent-content\",\n      \"<%= dgettext(\"page-dataset-details\", \"Display more\") %>\",\n      \"<%= dgettext(\"page-dataset-details\", \"Display less\") %>\",\n      \"notifications_sent\"\n    )\n  })\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_resource.html.heex",
    "content": "<% locale = get_session(@conn, :locale) %>\n<% unavailabilities = @resources_infos.unavailabilities %>\n<% validation = latest_validation(@resource, @resources_infos) %>\n<% validator = pick_validator(validation) %>\n<% tc? = Resource.gtfs?(@resource) or Resource.netex?(@resource) %>\n<% outdated? =\n  if validator do\n    validator.outdated?(validation)\n  end %>\n<% related_gtfs_resource = related_gtfs_resource(@resource) %>\n\n<div\n  class={\"panel resource #{valid_panel_class(@resource, outdated?)}\"}\n  title={resource_tooltip_content(@resource)}\n>\n  <h4>{@resource.title}</h4>\n\n  <div :if={not is_nil(@resource.schema_name)} title={dgettext(\"page-dataset-details\", \"Resource declared schema\")}>\n    <i class=\"icon icon--table\" aria-hidden=\"true\"></i>\n    {link(schema_label(@resource), to: documentation_url(@resource), target: \"_blank\")}\n  </div>\n\n  <.validity_dates :if={tc?} multi_validation={validation} locale={locale} />\n\n  <div class=\"pb-24 light-gry\">\n    <.resource_last_update_span\n      resource={@resource}\n      resources_updated_at={@resources_infos.resources_updated_at}\n      locale={locale}\n    />\n\n    <% resource_ttl = validation |> get_metadata_info(\"ttl\") %>\n    <span\n      :if={not is_nil(resource_ttl)}\n      class=\"ml-05-em\"\n      title={\n        dgettext(\"page-dataset-details\", \"time to live (%{feed})\",\n          feed: validation |> get_metadata_info(\"types\") |> gbfs_feed_source_for_ttl()\n        )\n      }\n    >\n      <i class=\"icon fa fa-history\" aria-hidden=\"true\"></i>\n      {resource_ttl}s\n    </span>\n    <div :if={related_gtfs_resource != nil}>\n      <span title={dgettext(\"page-dataset-details\", \"GTFS file to use with the GTFS-RT feed\")}>\n        <i class=\"icon fa fa-link\" aria-hidden=\"true\"></i>{link(\"GTFS\",\n          to: resource_path(@conn, :details, related_gtfs_resource.resource_dst_id),\n          class: \"dark\"\n        )}\n      </span>\n    </div>\n    <div :if={Map.has_key?(unavailabilities, @resource.id)}>\n      <span title={\n        dgettext(\"page-dataset-details\", \"download availability over the last %{nb} days\",\n          nb: availability_number_days()\n        )\n      }>\n        <img class=\"icon icon--uptime\" src={static_path(@conn, \"/images/icons/uptime.svg\")} />\n        <% availability_ratio = unavailabilities[@resource.id] %>\n        <span class={availability_ratio_class(availability_ratio)}>\n          {link(\"#{availability_ratio}%\",\n            to: \"#{resource_path(@conn, :details, @resource.id)}#download-availability\"\n          )}\n        </span>\n        <span class=\"small\">{dgettext(\"page-dataset-details\", \"Availability rate\")}</span>\n      </span>\n    </div>\n  </div>\n\n  <div\n    :if={tc? or not @resource.is_available}\n    class={\"resource-status-corner #{resource_class(@resource.is_available, outdated?)}\"}\n  >\n    <span class={resource_span_class(@resource)}>\n      <%= unless @resource.is_available do %>\n        {dgettext(\"page-dataset-details\", \"Not\")} <br />\n        {dgettext(\"page-dataset-details\", \"available\")}\n      <% else %>\n        <%= if outdated? == true do %>\n          {dgettext(\"page-dataset-details\", \"Outdated\")}\n        <% end %>\n        <%= if outdated? == false do %>\n          {dgettext(\"page-dataset-details\", \"Up to date\")}\n        <% end %>\n      <% end %>\n    </span>\n  </div>\n\n  <%= if Resource.gtfs?(@resource) do %>\n    {render(TransportWeb.DatasetView, \"_resource_validation_summary_gtfs.html\",\n      conn: @conn,\n      resource: @resource,\n      validation: validation\n    )}\n  <% end %>\n\n  <%= if Resource.netex?(@resource) do %>\n    {render(TransportWeb.DatasetView, \"_resource_validation_summary_netex.html\",\n      conn: @conn,\n      resource: @resource,\n      validation: validation\n    )}\n  <% end %>\n\n  <%= unless tc? do %>\n    {render(TransportWeb.DatasetView, \"_resource_validation_summary.html\",\n      conn: @conn,\n      resource: @resource,\n      validation: validation,\n      locale: @locale\n    )}\n  <% end %>\n\n  <div class=\"resource-panel-bottom\">\n    <div class=\"resource-features\">\n      <%= if Resource.gtfs_rt?(@resource) and not Enum.empty?(Map.get(@resources_infos.gtfs_rt_entities, @resource.id, [])) do %>\n        {dgettext(\"page-dataset-details\", \"Features available in the resource:\")}\n        <div>\n          <%= for entity <- Map.fetch!(@resources_infos.gtfs_rt_entities, @resource.id) do %>\n            <span class=\"label mode\">{entity}</span>\n          <% end %>\n        </div>\n      <% end %>\n      <a\n        :for={version <- validation |> get_metadata_info(\"versions\", []) || []}\n        :if={Resource.gbfs?(@resource)}\n        href={gbfs_documentation_link(version)}\n        target=\"_blank\"\n      >\n        <span class=\"label version\">\n          {dgettext(\"page-dataset-details\", \"Version %{version}\", version: version)}\n        </span>\n      </a>\n    </div>\n    <div class=\"resource-actions\">\n      <div>\n        <div class=\"resource-format\" title={dgettext(\"page-dataset-details\", \"resource format\")}>\n          <span class=\"label\">{@resource.format}</span>\n        </div>\n      </div>\n      <div>\n        <a href={resource_path(@conn, :details, @resource.id)}>\n          <button class=\"button-outline primary small\">\n            <i class=\"icon icon--plus\" aria-hidden=\"true\"></i>{dgettext(\"page-dataset-details\", \"details\")}\n          </button>\n        </a>\n        <a class=\"download-button\" href={DB.Resource.download_url(@resource, @conn)}>\n          <button class=\"button-outline primary small\">\n            <%= if Resource.real_time?(@resource) do %>\n              <i class=\"icon icon--link\" aria-hidden=\"true\"></i>{dgettext(\"page-dataset-details\", \"Browse the API\")}\n            <% else %>\n              <i class=\"icon icon--download\" aria-hidden=\"true\"></i>{dgettext(\"page-dataset-details\", \"Download\")}\n            <% end %>\n          </button>\n        </a>\n        <%= if Resource.siri?(@resource) do %>\n          <% siri_querier_params = [\n            endpoint_url: @resource.url,\n            requestor_ref: Resource.requestor_ref(@resource),\n            query_template: \"LinesDiscovery\"\n          ] %>\n\n          <a href={live_path(@conn, TransportWeb.Live.SIRIQuerierLive, siri_querier_params)}>\n            <button class=\"button-outline primary small\">{dgettext(\"page-dataset-details\", \"Try me!\")}</button>\n          </a>\n        <% end %>\n      </div>\n    </div>\n  </div>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_resource_validation_summary.html.heex",
    "content": "<%= if multi_validation_performed?(@validation) do %>\n  <% nb_warnings = warnings_count(@validation) %>\n  <% nb_errors = errors_count(@validation) %>\n  <%= unless is_nil(nb_errors) and is_nil(nb_warnings) do %>\n    <div class=\"pb-24\">\n      <% link = resource_path(@conn, :details, @resource.id) <> \"#validation-report\" %>\n      <a href={link}>\n        <span class={summary_class(@validation)}>\n          <%= if nb_errors + (nb_warnings || 0) == 0 do %>\n            {dgettext(\"page-dataset-details\", \"No error detected\")}\n          <% end %>\n          <%= if nb_errors == 0 and is_integer(nb_warnings) and nb_warnings > 0 do %>\n            {\"#{format_number(nb_warnings, locale: @locale)} #{dpngettext(\"validations\", \"warnings\", \"warning\", \"warnings\", nb_warnings)}\"}\n          <% end %>\n          <%= if nb_errors > 0 do %>\n            {\"#{format_number(nb_errors, locale: @locale)} #{dpngettext(\"validations\", \"errors\", \"error\", \"errors\", nb_errors)}\"}\n          <% end %>\n        </span>\n      </a>\n      <span>{dgettext(\"page-dataset-details\", \"during validation\")}</span>\n    </div>\n  <% end %>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_resource_validation_summary_gtfs.html.heex",
    "content": "<% validator =\n  if MobilityDataGTFSValidator.mine?(@validation) do\n    MobilityDataGTFSValidator\n  else\n    GTFSTransport\n  end %>\n<%= if validator.mine?(@validation) do %>\n  <div class=\"pb-24\">\n    <% link = resource_path(@conn, :details, @resource.id) <> \"#validation-report\" %>\n    <% %{\"max_level\" => severity, \"worst_occurrences\" => count} = @validation.digest[\"max_severity\"] %>\n    <a href={link}>\n      <span class={summary_class(@validation)}>\n        <%= if validator.no_error?(severity) do %>\n          {dgettext(\"page-dataset-details\", \"No error detected\")}\n        <% else %>\n          {validator.format_severity(severity, count)}\n        <% end %>\n      </span>\n    </a>\n    <span>{dgettext(\"page-dataset-details\", \"during validation\")}</span>\n  </div>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_resource_validation_summary_netex.html.heex",
    "content": "<%= unless is_nil(@validation) do %>\n  <div class=\"pb-24\">\n    <% link = resource_path(@conn, :details, @resource.id) <> \"#validation-report\" %>\n    <% results_adapter = Transport.Validators.NeTEx.ResultsAdapter.resolve(@validation.validator_version) %>\n    <% %{\"max_level\" => severity, \"worst_occurrences\" => count} = @validation.digest[\"max_severity\"] %>\n    <a href={link}>\n      <span class={summary_class(@validation)}>\n        <%= if results_adapter.no_error?(severity) do %>\n          {dgettext(\"page-dataset-details\", \"No error detected\")}\n        <% else %>\n          {results_adapter.format_severity(severity, count)}\n        <% end %>\n      </span>\n    </a>\n    <span>{dgettext(\"page-dataset-details\", \"during validation\")}</span>\n  </div>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_resources_container.html.heex",
    "content": "<% has_resources = not Enum.empty?(@resources || []) %>\n<% has_reuser_message = not is_nil(assigns[:reuser_message]) %>\n<%= if has_resources or has_reuser_message do %>\n  <section class=\"dataset__resources white\" id={assigns[:section_id]}>\n    <h2>{@title}</h2>\n    <p :if={has_reuser_message} class=\"information-message\">\n      {assigns[:reuser_message]}\n    </p>\n\n    <div :if={!is_nil(assigns[:warning_message])} class=\"resources-message\">\n      <i class=\"fa fa-exclamation-triangle warning-red\"></i>\n      {assigns[:warning_message]}\n    </div>\n    <div>\n      <div class=\"ressources-list\">\n        <%= for resource <- @resources |> order_resources_by_validity(assigns[:resources_infos]) |> order_resources_by_format() do %>\n          {render(TransportWeb.DatasetView, \"_resource.html\",\n            conn: @conn,\n            resource: resource,\n            dataset: assigns[:dataset],\n            resources_infos: assigns[:resources_infos],\n            latest_resources_history_infos: assigns[:latest_resources_history_infos],\n            locale: get_session(@conn, :locale)\n          )}\n        <% end %>\n      </div>\n    </div>\n  </section>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/_reuser_message.html.heex",
    "content": "<hr />\n<section class=\"dataset__resources\">\n  <div class=\"information-message pb-24\">\n    <i class=\"fas fa-info-circle\"></i>\n    {dgettext(\n      \"page-dataset-details\",\n      \"You're using this dataset? %{a_start}Send an email!%{a_end}\",\n      a_start: ~s|<a href=\"#mail_form\">|,\n      a_end: \"</a>\"\n    )\n    |> raw()}\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/details.html.heex",
    "content": "<% locale = get_session(@conn, :locale) %>\n{render(TransportWeb.ResourceView, \"_search_bar.html\", conn: @conn)}\n<%= unless @dataset.is_active do %>\n  <div class=\"notification error full-width\">\n    {dgettext(\"page-dataset-details\", \"This dataset has been removed from data.gouv.fr\")}\n  </div>\n<% end %>\n<%= if @dataset.is_active and DB.Dataset.archived?(@dataset) do %>\n  <div class=\"notification error full-width\">\n    {dgettext(\"page-dataset-details\", \"This dataset has been archived from data.gouv.fr on %{date}\",\n      date: DateTimeDisplay.format_datetime_to_date(@dataset.archived_at, locale)\n    )}\n  </div>\n<% end %>\n<div :if={@dataset.is_hidden} class=\"notification full-width\">\n  {dgettext(\"page-dataset-details\", \"This dataset is hidden\")}\n</div>\n<div class=\"dataset-title-div\" id=\"dataset-top\">\n  {dgettext(\"page-dataset-details\", \"dataset\")}\n  <h1>{@dataset.custom_title}</h1>\n  {render(\"_header_links.html\",\n    conn: @conn,\n    dataset: @dataset,\n    current_user: @current_user,\n    is_producer: @is_producer,\n    follows_dataset: @follows_dataset\n  )}\n</div>\n<div class=\"dataset-page\">\n  <div class=\"dataset-menu-container\">\n    <div class=\"dataset-menu\">\n      <div class=\"menu-item\"><a href=\"#dataset-top\">Description</a></div>\n      <%= unless is_nil(get_resource_to_display(@dataset)) do %>\n        <div id=\"menu-item-visualisation\" class=\"menu-item\">\n          <a href=\"#dataset-visualisation\">{dgettext(\"page-dataset-details\", \"Visualization\")}</a>\n        </div>\n      <% end %>\n      <div class=\"menu-item\">\n        <a href=\"#dataset-resources\">\n          {dgettext(\"page-dataset-details\", \"Resources\")} ({count_resources(@dataset)})\n        </a>\n      </div>\n      <div class=\"menu-item\">\n        <a href=\"#quality-indicators\">{dgettext(\"page-dataset-details\", \"Quality indicators\")}</a>\n      </div>\n      <div class=\"menu-item\">\n        <a href=\"#community-resources\">{dgettext(\"page-dataset-details\", \"Community resources\")}</a>\n      </div>\n      <%= unless count_documentation_resources(@dataset) == 0 do %>\n        <div class=\"menu-item\">\n          <a href=\"#dataset-documentation\">{dgettext(\"page-dataset-details\", \"Documentation\")}</a>\n        </div>\n      <% end %>\n\n      {live_render(@conn, TransportWeb.CountReusesLive, session: %{\"dataset_datagouv_id\" => @dataset.datagouv_id})}\n\n      <div :if={Enum.count(@notifications_sent) > 0} class=\"menu-item\">\n        <a href=\"#notifications-sent\">\n          {dgettext(\"page-dataset-details\", \"Notifications sent\")} ({Enum.count(@notifications_sent)})\n        </a>\n      </div>\n      <div class=\"menu-item\">\n        <a href=\"#dataset-discussions\">\n          Discussions {live_render(@conn, TransportWeb.CountDiscussionsLive,\n            session: %{\"dataset_datagouv_id\" => @dataset.datagouv_id}\n          )}\n        </a>\n      </div>\n      <%= unless @history_resources == [] do %>\n        <div class=\"menu-item\">\n          <a href=\"#backed-up-resources\">{dgettext(\"page-dataset-details\", \"Backed up resources\")}</a>\n        </div>\n      <% end %>\n    </div>\n  </div>\n  <div class=\"dataset-infos\">\n    <section>\n      {render(\"_banner.html\", dataset: @dataset)}\n      <div class=\"panel\">\n        {description(@dataset)}\n      </div>\n    </section>\n    <% displayResource = get_resource_to_display(@dataset) %>\n    <%= if not is_nil(displayResource) do %>\n      <section class=\"pt-48\" id=\"dataset-visualisation\">\n        <h2>{dgettext(\"page-dataset-details\", \"Visualization\")}</h2>\n        <div class=\"panel\">\n          <div id=\"map\" class=\"leaflet-map\"></div>\n          <%= if displayResource.format == \"gbfs\" do %>\n            <div class=\"is-centered\">\n              {dgettext(\"page-dataset-details\", \"Real-time visualization of \")} \"{displayResource.title}\".\n            </div>\n          <% else %>\n            <div class=\"is-centered\">\n              {dgettext(\"page-dataset-details\", \"Visualization of the resource\")} \"{displayResource.title}\".\n            </div>\n          <% end %>\n        </div>\n        <script src={static_path(@conn, \"/js/resourceviz.js\")}>\n        </script>\n        <script>\n          document.addEventListener(\"DOMContentLoaded\", function() {\n            createMap('map', \"<%= displayResource.url %>\", \"<%= displayResource.format %>\", \"<%= get_session(@conn, :locale) %>\")\n          })\n        </script>\n      </section>\n    <% end %>\n    <section id=\"dataset-resources\" class=\"pt-48\">\n      {render(TransportWeb.DatasetView, \"_resources_container.html\",\n        conn: @conn,\n        resources_infos: @resources_infos,\n        resources: gtfs_official_resources(@dataset) ++ netex_official_resources(@dataset),\n        dataset: @dataset,\n        title: dgettext(\"page-dataset-details\", \"Static data\")\n      )}\n      {render(TransportWeb.DatasetView, \"_resources_container.html\",\n        conn: @conn,\n        resources_infos: @resources_infos,\n        resources: real_time_official_resources(@dataset),\n        title: dgettext(\"page-dataset-details\", \"Real-time data\")\n      )}\n      {render(TransportWeb.DatasetView, \"_resources_container.html\",\n        conn: @conn,\n        resources_infos: @resources_infos,\n        resources: schemas_resources(@dataset),\n        title: dgettext(\"page-dataset-details\", \"Resources with a schema\"),\n        latest_resources_history_infos: @latest_resources_history_infos\n      )}\n      {render(TransportWeb.DatasetView, \"_resources_container.html\",\n        conn: @conn,\n        resources_infos: @resources_infos,\n        resources: other_official_resources(@dataset),\n        title: dgettext(\"page-dataset-details\", \"Resources\"),\n        latest_resources_history_infos: @latest_resources_history_infos\n      )}\n      {render(\"_history_message.html\", count_history_resources: Enum.count(@history_resources))}\n      {render(TransportWeb.DatasetView, \"_resources_container.html\",\n        conn: @conn,\n        resources_infos: @resources_infos,\n        resources: official_documentation_resources(@dataset),\n        title: dgettext(\"page-dataset-details\", \"Documentation\"),\n        latest_resources_history_infos: @latest_resources_history_infos,\n        reuser_message:\n          dgettext(\n            \"page-dataset-details\",\n            ~s(Producers can share in this section design guidelines, documentation, etc. Use the <a href=\"%{url}\" target=\"_blank\">documentation type</a> on data.gouv.fr.),\n            url: \"https://doc.data.gouv.fr/jeux-de-donnees/publier-un-jeu-de-donnees/#type\"\n          )\n          |> raw(),\n        section_id: \"dataset-documentation\"\n      )}\n      {render(TransportWeb.DatasetView, \"_resources_container.html\",\n        conn: @conn,\n        resources_infos: @resources_infos,\n        resources: unavailable_resources(@dataset),\n        dataset: @dataset,\n        title: dgettext(\"page-dataset-details\", \"Unavailable resources\"),\n        warning_message:\n          raw(\n            dgettext(\n              \"page-dataset-details\",\n              ~s|Those resources are listed by the provider but are unreachable for now. <a href=\"%{url}\">Learn more</a>.|,\n              url:\n                \"https://doc.transport.data.gouv.fr/outils/outils-disponibles-sur-le-pan/test-de-disponibilite-des-ressources\"\n            )\n          ),\n        latest_resources_history_infos: @latest_resources_history_infos\n      )}\n      {render(\"_reuser_message.html\")}\n      {render(\"_dataset_scores_chart.html\", scores_chart: @scores_chart, latest_scores: @latest_scores, conn: @conn)}\n      {render(\"_community_resources.html\", dataset: @dataset)}\n    </section>\n\n    {live_render(@conn, TransportWeb.ReusesLive, session: %{\"dataset_datagouv_id\" => @dataset.datagouv_id})}\n\n    <%= unless Enum.empty?(@notifications_sent) do %>\n      {render(\"_notifications_sent.html\", notifications_sent: @notifications_sent, locale: locale, conn: @conn)}\n    <% end %>\n    <%= if @dataset.is_active do %>\n      <section class=\"pt-48\" id=\"dataset-discussions\">\n        <h2>Discussions</h2>\n        <div class=\"dataset-details__discussions panel\">\n          {live_render(@conn, TransportWeb.DiscussionsLive,\n            session: %{\"current_user\" => @current_user, \"dataset\" => @dataset}\n          )}\n\n          <%= if @current_user do %>\n            <a href=\"#new_discussion\">\n              {dgettext(\"page-dataset-details\", \"Begin a new conversation\")}\n            </a>\n            <div id=\"new_discussion\" class=\"discussion-modal\">\n              <%= form_for @conn, discussion_path(@conn, :post_discussion, @dataset.datagouv_id), fn f -> %>\n                {hidden_input(f, :dataset_slug, value: @dataset.slug)}\n                <div class=\"form__group\">\n                  {label(f, :title, dgettext(\"page-dataset-details\", \"Title\"), class: \"required\")}\n                  {text_input(f, :title, required: true)}\n                </div>\n                <div class=\"form__group\">\n                  {label(f, :comment, dgettext(\"page-dataset-details\", \"Your comment\"), class: \"required\")}\n                  {textarea_autoexpand(f, :comment, required: true)}\n                </div>\n                {submit(dgettext(\"page-dataset-details\", \"Start a new discussion\"))}\n              <% end %>\n            </div>\n          <% else %>\n            <span class=\"discussion-commment__connection-needed\">\n              {link(\n                dgettext(\"page-dataset-details\", \"You need to be connected to start a discussion\"),\n                to: page_path(@conn, :login, redirect_path: current_path(@conn))\n              )}\n            </span>\n          <% end %>\n        </div>\n      </section>\n    <% end %>\n    {render(\"_dataset_resources_history.html\",\n      history_resources: @history_resources,\n      locale: locale,\n      conn: @conn,\n      dataset_id: @dataset.id\n    )}\n  </div>\n  <div class=\"dataset-metas\">\n    <div class=\"panel\">\n      {live_render(@conn, TransportWeb.Live.FollowDatasetLive,\n        session: %{\"current_user\" => @current_user, \"dataset_id\" => @dataset.id}\n      )}\n      <div class=\"dataset__logo\">\n        {img_tag(DB.Dataset.full_logo(@dataset), alt: @dataset.custom_title)}\n      </div>\n      <div class=\"pt-12\">\n        <span class=\"dataset-metas-info-title\">{dgettext(\"page-dataset-details\", \"Data published by\")}</span>\n        <div>\n          <b>\n            {link(@dataset.organization, to: dataset_path(@conn, :index, organization_id: @dataset.organization_id))}\n          </b>\n        </div>\n      </div>\n      <%= if Enum.count(@dataset.legal_owners_aom) > 0 || Enum.count(@dataset.legal_owners_region) > 0 || not is_nil(@dataset.legal_owner_company_siren) do %>\n        <div class=\"pt-12\">\n          <span class=\"dataset-metas-info-title\">\n            {dgettext(\"page-dataset-details\", \"Data under the responsibility of\")}\n          </span>\n          <div>\n            {legal_owners_links(@conn, @dataset)}\n            <%= if not is_nil(@dataset.legal_owner_company_siren) do %>\n              {if @company, do: @company.nom_complet, else: @dataset.legal_owner_company_siren}\n            <% end %>\n          </div>\n        </div>\n      <% end %>\n      <div :if={not Enum.empty?(@dataset.offers)} class=\"pt-12\">\n        <span class=\"dataset-metas-info-title\">\n          {dgettext(\"page-dataset-details\", \"Transport offers\")}\n        </span>\n        <div>\n          <%= for offer <- @dataset.offers |> Enum.sort_by(& &1.nom_commercial) do %>\n            {link(offer.nom_commercial, to: dataset_path(@conn, :by_offer, offer.identifiant_offre))}\n          <% end %>\n        </div>\n      </div>\n      <div class=\"pt-12\">\n        <span class=\"dataset-metas-info-title\">{dgettext(\"page-dataset-details\", \"Data type\")}</span>\n        {render(\"_dataset_type.html\",\n          conn: @conn,\n          link: dataset_path(@conn, :index, type: @dataset.type),\n          text: Dataset.type_to_str(@dataset.type),\n          icon: icon_type_path(@dataset)\n        )}\n      </div>\n      <div class=\"pt-12\">\n        {render(\"_licence.html\", conn: @conn, dataset: @dataset)}\n      </div>\n      <div class=\"pt-12\">\n        <i class=\"fas fa-cogs\"></i>\n        {dgettext(\"page-dataset-details\", \"Get details about this dataset via an %{start_link}API call%{end_link}\",\n          start_link: ~s|<a href=\"/api/datasets/#{@dataset.datagouv_id}\">|,\n          end_link: \"</a>\"\n        )\n        |> raw()}\n      </div>\n      <div class=\"pt-12 shortlist__link shortlist__link--external-link\">\n        <i class=\"icon icon--link\" aria-hidden=\"true\"></i>\n        {Dataset.link_to_datagouv(@dataset)}\n      </div>\n      <div class=\"pt-12\">\n        <span class=\"dataset-metas-info-title\">\n          {dgettext(\"page-dataset-details\", \"tags: \")}\n        </span>\n        <br />\n        <div class=\"dataset-tags\">\n          <%= for tag <- @dataset.tags do %>\n            <span class=\"label\">{tag}</span>\n          <% end %>\n        </div>\n      </div>\n      <div class=\"pt-12\">\n        <span class=\"dataset-metas-info-title\">{dgettext(\"page-dataset-details\", \"Covered area\")}</span>\n        <div>\n          {DB.Dataset.get_covered_area_or_nil(@dataset)}\n        </div>\n        <div id=\"dataset-covered-area-map\"></div>\n      </div>\n    </div>\n  </div>\n</div>\n<script src={static_path(@conn, \"/js/datasetmap.js\")}>\n</script>\n<script>\n  document.addEventListener(\"DOMContentLoaded\", function() {\n    createDatasetMap('dataset-covered-area-map', \"<%= @dataset.datagouv_id %>\")\n  })\n</script>\n<script src={static_path(@conn, \"/js/utils.js\")} />\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/dataset/index.html.heex",
    "content": "<div class=\"container dataset-page-top\">\n  <div class=\"form__group\">\n    <%= form_for @conn, dataset_path(@conn, :index), [method: \"get\", class: \"shortlist-form\"], fn f -> %>\n      <div class=\"searchBar\">\n        {search_input(f, :q,\n          id: \"autoComplete\",\n          autocomplete: \"off\",\n          value: assigns[:q] || \"\",\n          placeholder: dgettext(\"page-index\", \"Find dataset\"),\n          \"aria-label\": dgettext(\"page-index\", \"Find dataset\")\n        )}\n        <div class=\"autoCompleteResultsField\">\n          <div id=\"autoCompleteResults\"></div>\n        </div>\n      </div>\n    <% end %>\n    <div class=\"dataset-page-title\">\n      <%= if @conn.assigns[:page_title] do %>\n        {@page_title.type}\n        <h1>{@page_title.name}</h1>\n      <% else %>\n        <%= if @conn.assigns[:q] do %>\n          <h1>\n            {dngettext(\n              \"page-shortlist\",\n              \"result\",\n              \"results\",\n              @datasets.total_entries,\n              value: format_number(@datasets.total_entries, locale: get_session(@conn, :locale)),\n              q: @q\n            )}\n          </h1>\n        <% else %>\n          <h1>{dgettext(\"page-index\", \"Datasets\")}</h1>\n        <% end %>\n      <% end %>\n    </div>\n  </div>\n</div>\n\n<%= if not is_nil(@conn.assigns[:category_custom_message]) do %>\n  {render(TransportWeb.DatasetView, \"_custom_message.html\", conn: @conn, msg: @category_custom_message)}\n<% end %>\n\n<%= if is_nil(@conn.assigns[:q]) or @datasets.total_entries > 0  do %>\n  <section id=\"datasets-results\" class=\"section-grey\">\n    <div class=\"container\">\n      <div class=\"shortlist\">\n        <nav class=\"side-pane\" role=\"navigation\">\n          <div class=\"pt-48\">\n            <ul class=\"side-pane__menu\">\n              <li class=\"side-pane__title\">\n                <h3>{dgettext(\"page-shortlist\", \"Data type\")}</h3>\n                <li class=\"side-pane__dropdown unfolded\">\n                  <ul class=\"side-pane__submenu\">\n                    <li>\n                      {type_link(@conn, %{\n                        msg: dgettext(\"page-shortlist\", \"All\"),\n                        type: nil,\n                        count: @types |> Enum.map(& &1.count) |> Enum.sum()\n                      })}\n                    </li>\n                    <%= for type <- @types do %>\n                      <li>{type_link(@conn, type)}</li>\n                    <% end %>\n                  </ul>\n                </li>\n              </li>\n\n              <%= unless Enum.empty?(@subtypes.subtypes) do %>\n                <li class=\"side-pane__title\">\n                  <h3>{dgettext(\"page-shortlist\", \"Sub type\")}</h3>\n                  <li class=\"side-pane__dropdown unfolded\">\n                    <ul class=\"side-pane__submenu\">\n                      <li>\n                        {subtype_link(@conn, %{\n                          msg: dgettext(\"page-shortlist\", \"All\"),\n                          subtype: nil,\n                          count: @subtypes.all\n                        })}\n                      </li>\n                      <%= for subtype <- @subtypes.subtypes do %>\n                        <li>{subtype_link(@conn, subtype)}</li>\n                      <% end %>\n                    </ul>\n                  </li>\n                </li>\n              <% end %>\n\n              <li class=\"side-pane__title\">\n                <h3>{dgettext(\"page-shortlist\", \"Real Time\")}</h3>\n                <li class=\"side-pane__dropdown unfolded\">\n                  <ul class=\"side-pane__submenu\">\n                    <li>\n                      {real_time_link(@conn, %{\n                        only_realtime: false,\n                        msg: dgettext(\"page-shortlist\", \"Any\"),\n                        count: @number_realtime_datasets.all\n                      })}\n                    </li>\n                    <li>\n                      {real_time_link(@conn, %{\n                        only_realtime: true,\n                        msg: dgettext(\"page-shortlist\", \"with real time\"),\n                        count: @number_realtime_datasets.true\n                      })}\n                    </li>\n                  </ul>\n                </li>\n              </li>\n\n              <%= if assigns[:regions] do %>\n                <li class=\"side-pane__title\">\n                  <h3>{dgettext(\"page-shortlist\", \"Regions\")}</h3>\n                  <li class=\"side-pane__dropdown unfolded\">\n                    <ul class=\"side-pane__submenu\">\n                      <li>\n                        {region_link(@conn, %{\n                          nom: dgettext(\"page-shortlist\", \"All\"),\n                          count: @regions |> Enum.map(& &1.count) |> Enum.sum(),\n                          insee: nil\n                        })}\n                      </li>\n                      <%= for region <- @regions do %>\n                        <%= unless region.count == 0 do %>\n                          <li>{region_link(@conn, region)}</li>\n                        <% end %>\n                      <% end %>\n                    </ul>\n                  </li>\n                </li>\n              <% end %>\n\n              <%= unless Enum.empty?(@licences) do %>\n                <li class=\"side-pane__title\">\n                  <h3>{dgettext(\"page-shortlist\", \"Licences\")}</h3>\n                  <li class=\"side-pane__dropdown unfolded\">\n                    <ul class=\"side-pane__submenu\">\n                      <li>\n                        {licence_link(@conn, %{\n                          licence: \"all\",\n                          count: @licences |> Enum.map(& &1.count) |> Enum.sum()\n                        })}\n                      </li>\n                      <%= for licence <- @licences do %>\n                        <%= unless licence.count == 0 do %>\n                          <li>{licence_link(@conn, licence)}</li>\n                        <% end %>\n                      <% end %>\n                    </ul>\n                  </li>\n                </li>\n              <% end %>\n\n              <li class=\"side-pane__title\">\n                <h3>{dgettext(\"page-shortlist\", \"Resource format\")}</h3>\n                <li class=\"side-pane__dropdown unfolded\">\n                  <ul class=\"side-pane__submenu\">\n                    <li>\n                      {format_link(@conn, %{\n                        msg: dgettext(\"page-shortlist\", \"All\"),\n                        format: nil,\n                        count:\n                          Enum.find_value(@number_resource_format_datasets, fn {k, count} -> if k == :all, do: count end)\n                      })}\n                    </li>\n                    <%= for {format, count} <- Enum.reject(@number_resource_format_datasets, fn {k, _} -> k == :all end) do %>\n                      <li>{format_link(@conn, %{format: format, msg: format, count: count})}</li>\n                    <% end %>\n                  </ul>\n                </li>\n              </li>\n            </ul>\n          </div>\n        </nav>\n        <div class=\"main-pane transparent\">\n          <%= if @conn.assigns[:empty_message] do %>\n            <div class=\"container pt-48\">\n              <div class=\"notification\">\n                {@empty_message}\n              </div>\n            </div>\n          <% else %>\n            <div class=\"order-by\">\n              <span class=\"order-by__title\">{dgettext(\"page-shortlist\", \"Order by\")}</span>\n              <span class=\"order-by-option\">{order_link(@conn, \"alpha\")}</span>\n              <span class=\"order-by-option\">{order_link(@conn, \"most_recent\")}</span>\n            </div>\n\n            <%= for dataset <- @datasets do %>\n              <div class=\"panel dataset__panel\">\n                <div class=\"panel__content\">\n                  <div class=\"dataset__description\">\n                    <div class=\"dataset__image\" data-provider={dataset.custom_title}>\n                      {img_tag(DB.Dataset.logo(dataset), alt: dataset.custom_title)}\n                    </div>\n                    <div class=\"dataset__infos\">\n                      <h3 class=\"dataset__title\">\n                        <a href={dataset_path(@conn, :details, dataset.slug)}>\n                          {dataset.custom_title}\n                        </a>\n                        <%= if TransportWeb.Session.admin?(@conn) do %>\n                          <span class=\"dataset-backoffice-link\">\n                            <i class=\"fa fa-external-link-alt\"></i>\n                            {link(\"backoffice\", to: backoffice_page_path(@conn, :edit, dataset.id))}\n                          </span>\n                        <% end %>\n                      </h3>\n                      <div class=\"dataset-localization\">\n                        <i class=\"icon fa fa-map-marker-alt\" />{Dataset.get_covered_area_or_nil(dataset)}\n                      </div>\n                    </div>\n                  </div>\n                  <div class=\"dataset__type\">\n                    <i :if={not is_nil(@current_user)} class={heart_class(@dataset_heart_values, dataset)}></i>\n                    <%= unless is_nil(icon_type_path(dataset)) do %>\n                      {img_tag(icon_type_path(dataset), alt: dataset.type)}\n                    <% end %>\n                  </div>\n                </div>\n                <div class=\"panel__extra\">\n                  <div class=\"dataset__info\">\n                    <div class=\"shortlist__notices\">\n                      <div class=\"dataset-udpate-date ml-1em\">\n                        {dgettext(\"page-shortlist\", \"created on\")} {DateTimeDisplay.format_date(\n                          dataset.created_at,\n                          get_session(@conn, :locale)\n                        )}\n                      </div>\n                      <dl class=\"dataset-format shortlist__notice\">\n                        <%= unless Dataset.formats(dataset) == [] do %>\n                          <dt class=\"shortlist__label\">{dgettext(\"page-shortlist\", \"Format\")}</dt>\n                          <%= for format <- Dataset.formats(dataset) do %>\n                            <dd class=\"label\">{format}</dd>\n                          <% end %>\n                        <% end %>\n                      </dl>\n                      <div class=\"dataset-type-text\">\n                        {Dataset.type_to_str(dataset.type)}\n                      </div>\n                    </div>\n                  </div>\n                </div>\n              </div>\n            <% end %>\n            <div>\n              {pagination_links(@conn, @datasets)}\n            </div>\n          <% end %>\n        </div>\n      </div>\n\n      <div class=\"api-link\">\n        <i class=\"fas fa-cogs\"></i>\n        <% # NOTE: the syntax_highlight flag is there just because otherwise we get a match error\n        # due to how OpenAPISpex register routes (I think) %>\n        {link(\n          dgettext(\"page-shortlist\", \"Get dataset list via an API\"),\n          to:\n            \"#{swagger_ui_path(@conn, path: \"/api/openapi\", syntax_highlight: false)}#/datasets/API.DatasetController.datasets\"\n        )} -\n      </div>\n    </div>\n  </section>\n<% end %>\n{render(TransportWeb.PageView, \"_home_autocomplete.html\", conn: @conn)}\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/bnlc_consolidation_report.html.heex",
    "content": "{raw(@body)}\n<br /><br /> 🔗 <a href={@file_url}>Fichier consolidé</a>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/contact.html.heex",
    "content": "<ul>\n  <li>User type: {@user_type}</li>\n  <li>Question type: {@question_type}</li>\n</ul>\n\n<b>Question:</b>\n<p>\n  {@question}\n</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/dataset_now_on_nap.html.md",
    "content": "Bonjour,\n\nVotre jeu de données [<%= @dataset_custom_title %>](<%= @dataset_url %>) a bien été référencé sur le Point d’Accès National aux données de transport, [transport.data.gouv.fr](https://transport.data.gouv.fr).\n\nRendez-vous sur votre <%= link_for_espace_producteur(:dataset_now_on_nap) %> pour mettre à jour vos données ou vous inscrire à des notifications en cas de péremption, d’indisponibilité ou d’erreurs bloquantes sur votre jeu de données.\n\nSi vous avez des questions, n’hésitez pas à contacter notre équipe à l’adresse : <%= @contact_email_address %>.\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/dataset_with_error_producer.html.md",
    "content": "Bonjour,\n\nDes erreurs bloquantes ont été détectées dans votre jeu de données <%= link_for_dataset(@dataset) %>. Ces erreurs empêchent la réutilisation de vos données.\n\nNous vous invitons à les corriger en vous appuyant sur les rapports de validation suivants :\n<%= for resource <- @resources do %>\n<%= link_for_resource(resource) %>\n<% end %>\n\nNous restons disponibles pour vous accompagner si besoin.\n\nMerci par avance pour votre action,\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr\n\n*Ce mail est envoyé automatiquement. Vous pouvez contacter l'équipe de transport.data.gouv.fr en réponse de ce mail pour toute information complémentaire.*\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/dataset_with_error_reuser.html.md",
    "content": "Bonjour,\n\nDes erreurs bloquantes ont été détectées dans le jeu de données <%= link_for_dataset(@dataset) %> que vous réutilisez.\n\n<%= if @producer_warned do %>\nNous avons déjà informé le producteur de ces données. Si les erreurs ne sont pas corrigées, vous pouvez contacter le producteur à partir de <%= link_for_dataset_discussions(@dataset) %>.\n<% end %>\n\nL’équipe transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/datasets_climate_resilience_bill_inappropriate_licence.html.heex",
    "content": "<p>Bonjour,</p>\n\n<p>\n  Les jeux de données suivants sont soumis à une obligation de réutilisation en vertu de l'article 122 de la loi climat et résilience mais ne sont plus publiés avec une licence ouverte.\n</p>\n\n<ul>\n  <%= for dataset <- @datasets do %>\n    <li>{raw(link_for_dataset(dataset))}</li>\n  <% end %>\n</ul>\n\n<p>\n  Le tag \"loi climat et résilience\" a été retiré automatiquement, toutefois il faudrait discuter avec les producteurs concernés.\n</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/datasets_switching_climate_resilience_bill.html.md",
    "content": "Bonjour,\n\n<%= unless Enum.empty?(@datasets_now_climate_resilience) do %>\n<!--\nArticle 122 loi climat et résilience, will be back\nhttps://github.com/etalab/transport-site/issues/3149\nUpdate text\n-->\nLes jeux de données suivants feront l’objet d’une intégration obligatoire :\n<%= for dataset <- @datasets_now_climate_resilience do %>\n<%= link_for_dataset(dataset) %>\n<% end %>\n<% end %>\n\n<%= unless Enum.empty?(@datasets_previously_climate_resilience) do %>\nLes jeux de données suivants faisaient l’objet d’une intégration obligatoire et ne font plus l’objet de cette obligation :\n<%= for dataset <- @datasets_previously_climate_resilience do %>\n<%= link_for_dataset(dataset) %>\n<% end %>\n<% end %>\n\nL’équipe transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/datasets_without_gtfs_rt_related_resources.html.heex",
    "content": "<p>Bonjour,</p>\n\n<p>\n  Les jeux de données suivants contiennent plusieurs GTFS et des liens entre les ressources GTFS-RT et GTFS sont manquants :\n</p>\n\n<ul>\n  {raw(@list)}\n</ul>\n\n<p>L’équipe transport.data.gouv.fr</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/expiration.html.heex",
    "content": "<p>Bonjour,</p>\n\n<p>Voici un résumé des jeux de données arrivant à expiration</p>\n\n{raw(@expiration)}\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/expiration_producer.html.md",
    "content": "Bonjour,\n\nLes données GTFS <%= @resource_titles %> associées au jeu de données <%= link_for_dataset(@dataset) %> <%= @delay_str %>.\n\nNous vous invitons à les mettre à jour en [remplaçant la ressource périmée par la nouvelle](https://doc.transport.data.gouv.fr/administration-des-donnees/procedures-de-publication/mettre-a-jour-des-donnees#remplacer-un-jeu-de-donnees-existant-plutot-quen-creer-un-nouveau) afin que vos données puissent être utilisées par les différents acteurs.\n\nAfin de garantir une continuité dans l’utilisation de vos données, nous vous encourageons à anticiper les futures mises à jour au moins 1 mois avant la date d’expiration.\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr\n\n*Ce mail est envoyé automatiquement. Vous pouvez contacter l'équipe de transport.data.gouv.fr en réponse de ce mail pour toute information complémentaire.*\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/expiration_reuser.html.heex",
    "content": "<p>Bonjour,</p>\n\n<p>Voici un résumé de vos jeux de données favoris arrivant à expiration.</p>\n\n{raw(@expiration_content)}\n\n<p>Nous vous invitons à contacter les producteurs via la discussion du jeu de données si besoin.</p>\n\n<p>\n  Pour rappel, vous pouvez paramétrer vos alertes sur le suivi de vos jeux de données favoris depuis votre {link_for_reuser_space(\n    :expiration_reuser\n  )}.\n</p>\n\n<p>À bientôt,</p>\n\n<p>L’équipe transport.data.gouv.fr</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/feedback.html.md",
    "content": "Vous avez un nouvel avis sur le PAN.\n\n- Fonctionnalité : <%= @feature %>\n- Notation : <%= @rating %>\n- Adresse e-mail : <%= @email_address %>\n\nExplication :\n<%= @explanation %>"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/inactive_datasets.html.heex",
    "content": "<p>Bonjour,</p>\n\n{raw(@inactive_datasets_str)}\n{raw(@reactivated_datasets_str)}\n{raw(@archived_datasets_str)}\n\n<p>Il faut peut être creuser pour savoir si c'est normal.</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/new_comments_producer.html.heex",
    "content": "<div class=\"container\">\n  Nouveaux commentaires postés sur les jeux de données référencés sur transport.data.gouv.fr :\n  <%= for {_, datagouv_id, title, comments} <- @comments_with_context do %>\n    <%= for comment <- comments do %>\n      <div style=\"padding-top: 24px;\">\n        <h4>{title}</h4>\n        <span style=\"color: grey;\">\n          Commentaire de {comment[\"posted_by\"][\"first_name\"]} {comment[\"posted_by\"][\"last_name\"]}\n        </span>\n      </div>\n      <div class=\"panel\">\n        \"{comment[\"content\"]}\" <br />\n        {link(\"voir la discussion\",\n          to:\n            \"#{dataset_url(TransportWeb.Endpoint, :details, datagouv_id)}#comments-discussion-#{comment[\"discussion_id\"]}\"\n        )}\n      </div>\n    <% end %>\n  <% end %>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/new_comments_reuser.html.heex",
    "content": "<p>Bonjour,</p>\n\n<p>\n  Des discussions ont eu lieu sur certains de vos jeux de données favoris. Vous pouvez prendre connaissance de ces échanges.\n</p>\n\n<ul>\n  <%= for dataset <- @datasets do %>\n    <li>{link_for_dataset_section(dataset, :discussion)}</li>\n  <% end %>\n</ul>\n\n<p>\n  L’équipe transport.data.gouv.fr\n</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/new_datagouv_datasets.html.heex",
    "content": "<p>Bonjour,</p>\n\n<p>\n  Les jeux de données suivants ont été ajoutés sur data.gouv.fr dans les dernières {@duration}h et sont susceptibles d'avoir leur place sur le PAN :\n</p>\n<ul>\n  {raw(@list)}\n</ul>\n<br />\n<hr />\n{raw(@rule_explanation)}\n<p>\n  Vous pouvez modifier <a href=\"https://github.com/etalab/transport-site/blob/master/apps/transport/lib/jobs/new_datagouv_datasets_job.ex\">les règles de cette tâche</a>.\n</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/new_dataset.html.heex",
    "content": "<p>Bonjour,</p>\n\n<p>Les jeux de données suivants ont été référencés récemment :</p>\n\n<ul>\n  <%= for dataset <- @datasets do %>\n    <li>{link_for_dataset_with_type(dataset)}</li>\n  <% end %>\n</ul>\n\n<p>L’équipe transport.data.gouv.fr</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/oban_failure.html.md",
    "content": "Un job Oban <%= @worker %> vient d'échouer, il serait bien d'investiguer."
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/producer_with_subscriptions.html.md",
    "content": "Bonjour,\n\n<%= if Enum.count(@datasets_subscribed) == 1 do %>\nEn tant que producteur de données de transport, vous êtes inscrit à des notifications pour le jeu de données <%= @datasets_subscribed |> hd() |> link_for_dataset() %>.\n<% else %>\nEn tant que producteur de données de transport, vous êtes inscrit à des notifications concernant les jeux de données suivants :\n<ul>\n  <%= for dataset <- @datasets_subscribed do %>\n  <li><%= link_for_dataset(dataset) %></li>\n  <% end %>\n</ul>\n<% end %>\n\nLes notifications vous permettent d’être alerté en cas d’expiration, d’indisponibilité et d’erreurs de vos données. Si vous souhaitez gérer vos notifications, rendez-vous sur votre <%= link_for_espace_producteur(:periodic_reminder_producer_with_subscriptions) %>.\n\n<%= if @has_other_producers_subscribers do %>\nLes autres personnes impliquées dans la production ou publication de vos données (qu’ils soient exploitants, intervenants techniques ou responsables légaux) et inscrites à ces notifications sont : <%= @other_producers_subscribers %>.\n<% end %>\n\nNous restons disponibles pour vous accompagner si besoin.\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/producer_without_subscriptions.html.md",
    "content": "Bonjour,\n\n<%= if Enum.count(@datasets) == 1 do %>\nLe saviez-vous ? En tant que producteur de données de transport, il est possible de vous inscrire à des notifications concernant le jeu de données que vous gérez sur transport.data.gouv.fr, <%= @datasets |> hd() |> link_for_dataset() %>.\n<% else %>\nLe saviez-vous ? En tant que producteur de données de transport, il est possible de vous inscrire à des notifications concernant les jeux de données que vous gérez sur transport.data.gouv.fr :\n<ul>\n  <%= for dataset <- @datasets do %>\n  <li><%= link_for_dataset(dataset) %></li>\n  <% end %>\n</ul>\n<% end %>\n\nLes notifications vous permettent d’être alerté en cas d’expiration, d’indisponibilité et d’erreurs de vos données.\n\nPour vous inscrire, rien de plus simple : rendez-vous sur votre <%= link_for_espace_producteur(:periodic_reminder_producer_without_subscriptions) %> dans le menu “Recevoir des notifications”.\n\nNous restons disponibles pour vous accompagner si besoin.\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/promote_producer_space.html.md",
    "content": "Bonjour,\n\nBienvenue sur le Point d’Accès National aux données de transport, [transport.data.gouv.fr](https://transport.data.gouv.fr) !\n\nRendez-vous sur votre <%= link_for_espace_producteur(:promote_producer_space) %> pour mettre à jour vos données ou paramétrer vos notifications en cas de péremption, d’indisponibilité ou d’erreurs bloquantes pour les données que vous gérez.\n\nSi vous avez des questions, n’hésitez pas à contacter notre équipe à l’adresse : <%= @contact_email_address %>.\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/promote_reuser_space.html.md",
    "content": "Bonjour,\n\nVous venez d’ajouter votre 1er favori pour suivre un jeu de données référencé sur le PAN et nous vous en félicitons !\n\nVous pourrez désormais être alerté lorsque le jeu de données est indisponible ou contient des erreurs par exemple. Vous serez également tenu au courant des différentes discussions publiques initiées par les producteurs de données ou d’autres réutilisateurs.\n\nRendez-vous sur votre <%= link_for_reuser_space(:promote_reuser_space) %> pour personnaliser vos préférences et participer à la constante amélioration de la qualité des données de mobilité !\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/resource_unavailable_producer.html.md",
    "content": "Bonjour,\n\nLes ressources <%= @resource_titles %> dans votre jeu de données <%= link_for_dataset(@dataset) %> ne sont plus disponibles au téléchargement depuis plus de <%= @hours_consecutive_downtime %>h.\n\nRetrouvez plus d'informations sur [notre documentation](https://doc.transport.data.gouv.fr/outils/outils-disponibles-sur-le-pan/test-de-disponibilite-des-ressources).\n\n<%= if @deleted_recreated_on_datagouv do %>\nIl semble que vous ayez supprimé puis créé une nouvelle ressource : l’URL de téléchargement a donc été modifiée ce qui risque de perturber la réutilisation de vos données. Si ce constat est avéré, nous vous encourageons à prévenir les réutilisateurs de la modification de l’URL de téléchargement via <%= link_for_dataset_discussions(@dataset) %>.\n\nPour les prochaines mises à jour, afin de garantir une URL stable, nous vous invitons à remplacer votre ressource obsolète par la nouvelle.\n\nPour cela, rendez-vous sur votre <%= link_for_espace_producteur(:resource_unavailable_producer) %> à partir duquel vous pourrez procéder à ces mises à jour.\n\nRetrouvez la procédure pas à pas [sur notre documentation](https://doc.transport.data.gouv.fr/producteurs/mettre-a-jour-des-donnees).\n<% else %>\nNous vous invitons à corriger l’accès à vos données dès que possible afin de ne pas perturber leur réutilisation.\n<% end %>\n\nNous restons disponibles pour vous accompagner si besoin.\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr\n\n*Ce mail est envoyé automatiquement. Vous pouvez contacter l'équipe de transport.data.gouv.fr en réponse de ce mail pour toute information complémentaire.*\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/resource_unavailable_reuser.html.md",
    "content": "Bonjour,\n\nLes ressources <%= @resource_titles %> du jeu de données <%= link_for_dataset(@dataset) %> que vous réutilisez ne sont plus disponibles au téléchargement depuis plus de <%= @hours_consecutive_downtime %>h.\n\n<%= if @producer_warned do %>\nNous avons déjà informé le producteur de ces données. Si l’indisponibilité perdure, vous pouvez contacter le producteur à partir de <%= link_for_dataset_discussions(@dataset) %>.\n<% end %>\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/resources_changed.html.md",
    "content": "Bonjour,\n\nLes ressources du jeu de données <%= link_for_dataset(@dataset) %> viennent d'être modifiées (ajout/suppression de ressources ou modification d'URLs de téléchargement).\n\nL’équipe transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/unknown_gbfs_operator_feeds.html.heex",
    "content": "<p>Bonjour,</p>\n\n<p>Il n'est pas possible de détecter automatiquement les opérateurs des flux GBFS suivants :</p>\n\n<ul>\n  {raw(@list)}\n</ul>\n\n<p>\n  La configuration peut être modifiée <a href=\"https://github.com/etalab/transport-site/blob/master/apps/transport/priv/gbfs_operators.csv\">sur GitHub</a>.\n</p>\n\n<p>L’équipe transport.data.gouv.fr</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/visit_download_statistics.html.md",
    "content": "Bonjour,\n\nVous utilisez data.gouv.fr pour héberger vos données. La fin d'année approchant, vous pouvez consulter et télécharger des statistiques de téléchargement de vos données depuis votre <%= link_for_espace_producteur(:view_download_statistics) %>.\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/visit_proxy_statistics.html.md",
    "content": "Bonjour,\n\nVous utilisez le service proxy de transport.data.gouv.fr pour diffuser vos données temps-réel. La fin d'année approchant, vous pouvez consulter et télécharger des statistiques d'utilisation de vos données depuis votre <%= link_for_espace_producteur(:view_proxy_statistics) %>.\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/email/warn_inactivity.html.md",
    "content": "Bonjour,\n\nVous avez un compte utilisateur associé à l‘adresse email **<%= @contact_email %>** sur\n[transport.data.gouv.fr](https://transport.data.gouv.fr).\n\nNous n‘avons pas détecté d‘activité de votre part depuis plus de 12 mois.\n<%= @horizon %> nous supprimerons votre compte conformément aux règles en vigueur\nconcernant les données utilisateur.\n\nSi vous avez souscrit à des notifications concernant des jeux de données, vous\nn‘aviez en effet pas besoin de vous connecter.\n\nPour conserver votre compte, il vous suffira de <%= link_for_login() %>.\n\nÀ bientôt,\n\nL’équipe transport.data.gouv.fr\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/error/400_family_errors.html.heex",
    "content": "<section class=\"error\">\n  <h1>{assigns[:status_message]}</h1>\n  <h2>{assigns[:custom_message]}</h2>\n  <div class=\"error__background\"></div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/error/internal_server_error.html.heex",
    "content": "<section class=\"error\">\n  <h1>{dgettext(\"errors\", \"End of the road!\")}</h1>\n  <h2>{dgettext(\"errors\", \"Try to refresh the page in a few seconds, or contact us.\")}</h2>\n  <div class=\"error__background internal_error\"></div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/_important_information.html.heex",
    "content": "<% show_recent_features = Date.utc_today().day in 1..7 %>\n<% hidden_alerts = Map.get(assigns, :hidden_alerts, []) %>\n<div\n  :if={show_important_information?(@checks, @mode, hidden_alerts) or show_recent_features}\n  data-name=\"important-information\"\n>\n  <h2 :if={@mode == :producer}>{dgettext(\"espace-producteurs\", \"Important information regarding your resources\")}</h2>\n  <h2 :if={@mode == :reuser}>{dgettext(\"reuser-space\", \"Important information on resources you follow\")}</h2>\n  <div class=\"panel\">\n    <p>{dgettext(\"espace-producteurs\", \"The following information require your attention.\")}</p>\n    <table class=\"table small-padding sorted_table\">\n      <thead>\n        <tr>\n          <th class=\"sort\">{dgettext(\"espace-producteurs\", \"Dataset\")}</th>\n          <th>{dgettext(\"espace-producteurs\", \"Resource\")}</th>\n          <th class=\"sort\">{dgettext(\"espace-producteurs\", \"Information\")}</th>\n          <th class=\"action-column\">{dgettext(\"espace-producteurs\", \"Actions\")}</th>\n        </tr>\n      </thead>\n      <tbody>\n        <tr :if={show_recent_features}>\n          <td colspan=\"2\">{dgettext(\"espace-producteurs\", \"New features available\")}</td>\n          <td>{dgettext(\"espace-producteurs\", \"recent_features\")}</td>\n          <td>\n            <a\n              href={page_path(@conn, :nouveautes)}\n              class=\"button-outline primary small\"\n              data-tracking-category=\"espace_producteur\"\n              data-tracking-action=\"important_information_see_recent_features_button\"\n            >\n              <i class=\"icon fas fa-star\"></i>{dgettext(\"espace-producteurs\", \"Discover new features\")}\n            </a>\n          </td>\n        </tr>\n        <%= for dataset <- @datasets |> Enum.sort_by(& &1.custom_title) do %>\n          <% checks = @checks[dataset.id] || [] %>\n          <%= for {check_name, issues} <- checks |> Enum.sort_by(& elem(&1, 0)) do %>\n            <%= for issue <- issues do %>\n              <% {issue, multi_validation} =\n                case issue do\n                  %DB.Resource{} = resource -> {resource, nil}\n                  {%DB.Resource{} = resource, [mv | _]} -> {resource, mv}\n                  discussion -> {discussion, nil}\n                end %>\n              <% is_hidden = @mode == :reuser and issue_hidden?(hidden_alerts, dataset, check_name, issue) %>\n              <%= unless is_hidden do %>\n                <.important_information\n                  issue={issue}\n                  dataset={dataset}\n                  check_name={check_name}\n                  multi_validation={multi_validation}\n                  locale={get_session(@conn, :locale)}\n                  mode={@mode}\n                  conn={@conn}\n                />\n              <% end %>\n            <% end %>\n          <% end %>\n        <% end %>\n      </tbody>\n    </table>\n  </div>\n</div>\n<script nonce={@conn.assigns[:csp_nonce_value]}>\n  const getCellValue = (tr, idx) => tr.children[idx].innerText || tr.children[idx].textContent;\n\n  const comparer = (idx, asc) => (a, b) => ((v1, v2) =>\n      v1 !== '' && v2 !== '' && !isNaN(v1) && !isNaN(v2) ? v1 - v2 : v1.toString().localeCompare(v2, \"fr\", { ignorePunctuation: true })\n      )(getCellValue(asc ? a : b, idx), getCellValue(asc ? b : a, idx));\n\n  document.querySelectorAll('th.sort').forEach(th => th.addEventListener('click', (() => {\n      const table = th.closest('table');\n      table.querySelectorAll('th.sort').forEach(th => th.className = 'sort')\n      th.className = !this.asc ? 'sort asc' : 'sort desc'\n      const header_index = Array.from(th.parentNode.children).indexOf(th);\n\n      const tbody = table.querySelector('tbody') || table;\n      const rows = Array.from(tbody.querySelectorAll('tr'));\n\n      rows.sort(comparer(header_index, this.asc = !this.asc))\n          .forEach(tr => tbody.appendChild(tr));\n  })));\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/_proxy_requests_stats.html.heex",
    "content": "<% locale = get_session(@conn, :locale) %>\n<div class=\"panel proxy-stats-panel\">\n  <div class=\"proxy-stats-panel__resource-header\">\n    <div>\n      <div class=\"proxy-stats-panel__resource-header-name\">\n        {dgettext(\"resource\", \"Feed name:\")}\n        <a href={resource_path(@conn, :details, @resource.id)}><strong>{@resource.title}</strong></a>\n      </div>\n      <div>\n        {dgettext(\"resource\", \"Format:\")} <span class=\"label\">{@resource.format}</span>\n      </div>\n    </div>\n  </div>\n\n  <% total_proxy = Enum.sum_by(@stats_per_day, & &1.requests_external) %>\n  <% total_upstream = Enum.sum_by(@stats_per_day, & &1.requests_internal) %>\n\n  <div class=\"proxy-stats-panel__metrics-grid\">\n    <div class=\"proxy-stats-panel__metric-card\">\n      <div class=\"proxy-stats-panel__metric-card-label\">\n        {dgettext(\"espace-producteurs\", \"Requests served by the proxy\")}\n      </div>\n      <div class=\"proxy-stats-panel__metric-card-value\" data-name=\"total-proxy\">\n        {format_number(total_proxy, locale: locale)}\n      </div>\n      <div class=\"proxy-stats-panel__metric-card-period\">\n        {dgettext(\"espace-producteurs\", \"over the last %{nb} days\", nb: @nb_days)}\n      </div>\n    </div>\n\n    <div class=\"proxy-stats-panel__metric-card\">\n      <div class=\"proxy-stats-panel__metric-card-label\">\n        {dgettext(\"espace-producteurs\", \"Requests served by upstream\")}\n      </div>\n      <div class=\"proxy-stats-panel__metric-card-value\" data-name=\"total-upstream\">\n        {format_number(total_upstream, locale: locale)}\n      </div>\n      <div class=\"proxy-stats-panel__metric-card-period\">\n        {dgettext(\"espace-producteurs\", \"over the last %{nb} days\", nb: @nb_days)}\n      </div>\n    </div>\n  </div>\n\n  <details class=\"proxy-stats-panel__details\">\n    <summary>\n      {dgettext(\"espace-producteurs\", \"View detailed statistics\")}\n    </summary>\n    <table class=\"table small-padding\">\n      <thead>\n        <tr>\n          <th>{dgettext(\"resource\", \"Date\")}</th>\n          <th>{dgettext(\"espace-producteurs\", \"Proxy requests\")}</th>\n          <th>{dgettext(\"espace-producteurs\", \"Upstream requests\")}</th>\n        </tr>\n      </thead>\n      <tbody>\n        <tr :for={stats_for_day <- @stats_per_day}>\n          <td>{Shared.DateTimeDisplay.format_date(stats_for_day.date, locale)}</td>\n          <td>{format_number(stats_for_day.requests_external, locale: locale)}</td>\n          <td>{format_number(stats_for_day.requests_internal, locale: locale)}</td>\n        </tr>\n      </tbody>\n    </table>\n  </details>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/_specify_url.html.heex",
    "content": "<div class=\"choose-option\">\n  {dgettext(\"espace-producteurs\", \"Give a link for the resource\")}\n  {text_input(\n    @f,\n    :url,\n    placeholder: \"https://data.ville.fr/gtfs.zip\",\n    value: @datagouv_resource[\"url\"]\n  )}\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/_upload_file.html.heex",
    "content": "<div class=\"choose-option\">\n  {dgettext(\"espace-producteurs\", \"Upload a file\")}\n  <%= unless is_nil(@datagouv_resource[\"url\"]) do %>\n    <p>\n      {dgettext(\"espace-producteurs\", \"Current file: %{current_file}\",\n        current_file: Path.basename(@datagouv_resource[\"url\"])\n      )}\n    </p>\n  <% end %>\n  {file_input(@f, :resource_file)}\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/delete_resource_confirmation.html.heex",
    "content": "<section class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :delete_resource, @dataset.custom_title, @dataset.id])}\n</section>\n<section class=\"producer-space producer-actions\">\n  <div class=\"container\">\n    <strong>{@dataset.custom_title} > {@datagouv_resource[\"title\"]}</strong>\n    <%= form_for @conn, espace_producteur_path(@conn, :delete_resource, @datagouv_dataset[\"id\"], @datagouv_resource[\"id\"]), [method: \"delete\", class: \"pt-48\"], fn _ -> %>\n      <p class=\"notification warning\">\n        {dgettext(\"espace-producteurs\", \"Do you want to update the resource or delete it definitely?\")}\n      </p>\n      <div class=\"form-group\">\n        <button\n          class=\"button warning\"\n          type=\"submit\"\n          data-tracking-category=\"espace_producteur\"\n          data-tracking-action=\"confirm_delete_resource\"\n        >\n          <i class=\"icon fa fa-trash\"></i>{dgettext(\"espace-producteurs\", \"Delete the resource\")}\n        </button>\n        <a\n          href={espace_producteur_path(@conn, :edit_resource, @dataset.id, @datagouv_resource[\"id\"])}\n          data-tracking-category=\"espace_producteur\"\n          data-tracking-action=\"abort_delete_update_resource\"\n        >\n          <button class=\"button-outline primary\" type=\"button\">\n            <i class=\"icon fa fa-folder\"></i>{dgettext(\"espace-producteurs\", \"Update the resource\")}\n          </button>\n        </a>\n      </div>\n    <% end %>\n  </div>\n</section>\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"producer_space\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/discussions.html.heex",
    "content": "<section class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :unanswered_discussions])}\n</section>\n<section class=\"producer-actions\">\n  <div class=\"container\">\n    <h2>{dgettext(\"espace-producteurs\", \"Unanswered discussions\")}</h2>\n    <div class=\"panel\">\n      <p>\n        {dgettext(\n          \"espace-producteurs\",\n          \"You will find here discussions that have not been closed and where the last person to reply is not a member of your organisation.\"\n        )}\n      </p>\n      <p :if={Enum.empty?(@unanswered_discussions)} class=\"notification\">\n        {dgettext(\"espace-producteurs\", \"You have no unanswered discussions.\")}\n      </p>\n      <table :if={not Enum.empty?(@unanswered_discussions)} class=\"table small-padding\">\n        <thead>\n          <tr>\n            <th>{dgettext(\"espace-producteurs\", \"Dataset\")}</th>\n            <th>{dgettext(\"espace-producteurs\", \"Discussion\")}</th>\n            <th>{dgettext(\"espace-producteurs\", \"Link\")}</th>\n          </tr>\n        </thead>\n        <tbody>\n          <%= for {dataset, discussions} <- @unanswered_discussions do %>\n            <%= for {discussion, index} <- Enum.with_index(discussions) do %>\n              <tr>\n                <td :if={index == 0} rowspan={Enum.count(discussions)}>\n                  <a href={dataset_path(@conn, :details, dataset.slug)} target=\"_blank\">\n                    <i class=\"fa fa-external-link\"></i>\n                    {dataset.custom_title}\n                  </a>\n                </td>\n                <td>{discussion[\"title\"]}</td>\n                <td>\n                  <a\n                    href={dataset_path(@conn, :details, dataset.slug) <> ~s|#discussion-#{discussion[\"id\"]}|}\n                    target=\"_blank\"\n                    class=\"button-outline primary small\"\n                    data-tracking-category=\"espace_producteur\"\n                    data-tracking-action=\"unanswered_discussion_button\"\n                  >\n                    <i class=\"icon fas fa-comments\"></i>\n                    {dgettext(\"espace-producteurs\", \"See the discussion\")}\n                  </a>\n                </td>\n              </tr>\n            <% end %>\n          <% end %>\n        </tbody>\n      </table>\n    </div>\n  </div>\n</section>\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"producer_space\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/download_statistics.html.heex",
    "content": "<section class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :download_statistics])}\n</section>\n<section class=\"producer-actions\">\n  <div class=\"container\">\n    <div class=\"download-statistics__header\">\n      <h2>{dgettext(\"espace-producteurs\", \"Download statistics\")}</h2>\n      <a\n        class=\"button-outline small secondary\"\n        href={espace_producteur_path(@conn, :download_statistics_csv)}\n        data-tracking-category=\"espace_producteur\"\n        data-tracking-action=\"download_statistics_csv\"\n      >\n        <i class=\"icon icon--download\" aria-hidden=\"true\"></i>{dgettext(\n          \"espace-producteurs\",\n          \"Download download statistics\"\n        )}\n      </a>\n    </div>\n    <div class=\"panel\">\n      <p>\n        {dgettext(\n          \"espace-producteurs\",\n          \"You will find below download statistics for your resources. Statistics can be downloaded at the bottom of the page.\"\n        )}\n      </p>\n      <table class=\"table small-padding\">\n        <thead>\n          <tr>\n            <th>{dgettext(\"espace-producteurs\", \"Dataset\")}</th>\n            <th>{dgettext(\"espace-producteurs\", \"Resource\")}</th>\n            <th>{dgettext(\"espace-producteurs\", \"Downloads for %{year}\", year: @previous_year)}</th>\n            <th>{dgettext(\"espace-producteurs\", \"Downloads for %{year}\", year: @year)}</th>\n          </tr>\n        </thead>\n        <tbody>\n          <%= for dataset <- Enum.sort_by(@datasets, & &1.custom_title) do %>\n            <% resources =\n              dataset.resources |> Enum.filter(&DB.Resource.hosted_on_datagouv?/1) |> Enum.sort_by(& &1.title) %>\n            <%= for {resource, index} <- Enum.with_index(resources) do %>\n              <tr>\n                <td :if={index == 0} rowspan={Enum.count(resources)}>{dataset.custom_title}</td>\n                <td>{resource.title} <span class=\"label\">{resource.format}</span></td>\n                <td>\n                  {format_number(@download_stats_previous_year[resource.datagouv_id] || 0,\n                    locale: get_session(@conn, :locale)\n                  )}\n                </td>\n                <td>\n                  {format_number(@download_stats[resource.datagouv_id] || 0, locale: get_session(@conn, :locale))}\n                </td>\n              </tr>\n            <% end %>\n          <% end %>\n        </tbody>\n      </table>\n    </div>\n  </div>\n</section>\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"producer_space\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/edit_dataset.html.heex",
    "content": "<% datagouv_admin_url = \"https://www.data.gouv.fr/admin/datasets/#{@dataset.datagouv_id}/files\" %>\n<section class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :edit_dataset, @dataset.custom_title, @dataset.id])}\n</section>\n<section class=\"producer-space producer-actions\">\n  <div class=\"container\">\n    <h2>{@dataset.custom_title}</h2>\n\n    <div class=\"panel\">\n      <h3>{dgettext(\"espace-producteurs\", \"Manage your resources\")}</h3>\n\n      <div class=\"panel\">\n        <div class=\"left-flex-image\">\n          <img\n            height=\"60\"\n            src={static_path(@conn, \"/images/producteurs/streamline-icon-employee-checklist.png\")}\n            alt=\"\"\n          />\n          <div>\n            <p>\n              {raw(\n                dgettext(\n                  \"espace-producteurs\",\n                  \"Our team maintains a comprehensive documentation\",\n                  link: \"https://doc.transport.data.gouv.fr/producteurs/mettre-a-jour-des-donnees\"\n                )\n              )}\n              <strong>\n                {dgettext(\n                  \"espace-producteurs\",\n                  ~s(If you want to publish an update to your data, please update an existing resource in the following list rather than publish a new one.)\n                )}\n              </strong>\n            </p>\n          </div>\n        </div>\n      </div>\n      {render(\"_important_information.html\", datasets: [@dataset], checks: @checks, conn: @conn, mode: :producer)}\n      <div>\n        <table class=\"table mt-24\">\n          <%= for resource <- @datagouv_dataset[\"resources\"] do %>\n            <% db_resource =\n              Enum.find_value(\n                @dataset.resources,\n                fn %DB.Resource{datagouv_id: resource_datagouv_id} = db_resource ->\n                  if resource[\"id\"] == resource_datagouv_id, do: db_resource\n                end\n              )\n\n            validation =\n              case db_resource do\n                %DB.Resource{} -> @latest_validation[db_resource.id] |> hd()\n                _ -> nil\n              end %>\n            <tr>\n              <td>\n                {resource[\"title\"]} <span :if={db_resource} class=\"label\">{db_resource.format}</span>\n              </td>\n              <td data-name=\"validity-dates\">\n                <TransportWeb.DatasetView.validity_dates\n                  :if={db_resource}\n                  multi_validation={validation}\n                  locale={get_session(@conn, :locale)}\n                />\n              </td>\n              <td data-name=\"validity\" class=\"no-underline\">\n                <%= if DB.Resource.gtfs?(db_resource) do %>\n                  {render(TransportWeb.DatasetView, \"_resource_validation_summary_gtfs.html\",\n                    conn: @conn,\n                    resource: db_resource,\n                    validation: validation\n                  )}\n                <% end %>\n\n                <%= if DB.Resource.netex?(db_resource) do %>\n                  {render(TransportWeb.DatasetView, \"_resource_validation_summary_netex.html\",\n                    conn: @conn,\n                    resource: db_resource,\n                    validation: validation\n                  )}\n                <% end %>\n\n                <%= unless DB.Resource.gtfs?(db_resource) or DB.Resource.netex?(db_resource) do %>\n                  {render(TransportWeb.DatasetView, \"_resource_validation_summary.html\",\n                    conn: @conn,\n                    resource: db_resource,\n                    validation: validation,\n                    locale: get_session(@conn, :locale)\n                  )}\n                <% end %>\n              </td>\n              <td class=\"align-right\">\n                <a\n                  href={espace_producteur_path(@conn, :edit_resource, @dataset.id, resource[\"id\"])}\n                  data-tracking-category=\"espace_producteur\"\n                  data-tracking-action=\"update_resource_button\"\n                  class=\"button-outline primary small\"\n                >\n                  <i class=\"icon fa fa-edit\"></i>{dgettext(\"espace-producteurs\", \"Edit resource\")}\n                </a>\n                <%= if not is_nil(db_resource) and Enum.any?(@dataset.reuser_improved_data, & &1.resource.id == db_resource.id) do %>\n                  {link(dgettext(\"espace-producteurs\", \"Reuser GTFS\"),\n                    to: espace_producteur_path(@conn, :reuser_improved_data, @dataset.id, db_resource.id),\n                    class: \"button-outline reuser small\",\n                    \"data-tracking-category\": \"espace_producteur\",\n                    \"data-tracking-action\": \"see_reuser_improved_data\"\n                  )}\n                <% end %>\n                <a\n                  href={espace_producteur_path(@conn, :delete_resource_confirmation, @dataset.id, resource[\"id\"])}\n                  data-tracking-category=\"espace_producteur\"\n                  data-tracking-action=\"delete_resource_button\"\n                  class=\"button-outline warning small\"\n                >\n                  <i class=\"icon fa fa-trash\"></i>{dgettext(\"espace-producteurs\", \"Delete resource\")}\n                </a>\n              </td>\n            </tr>\n          <% end %>\n        </table>\n\n        <a\n          href={espace_producteur_path(@conn, :new_resource, @dataset.id)}\n          data-tracking-category=\"espace_producteur\"\n          data-tracking-action=\"add_resource_button\"\n          class=\"button primary\"\n        >\n          <i class=\"icon fa fa-plus\"></i>{dgettext(\"espace-producteurs\", \"Add a resource\")}\n        </a>\n\n        <p class=\"pt-24\">{dgettext(\"espace-producteurs\", \"full-edition-on-data-gouv-fr\")}</p>\n        {link(dgettext(\"espace-producteurs\", \"Edit on data.gouv.fr\"),\n          to: datagouv_admin_url,\n          class: \"button-outline primary small\",\n          target: \"_blank\",\n          \"data-tracking-category\": \"espace_producteur\",\n          \"data-tracking-action\": \"edit_on_data_gouv_fr_button\"\n        )}\n      </div>\n    </div>\n\n    <div class=\"panel\">\n      <h3>{dgettext(\"espace-producteurs\", \"Update your logo\")}</h3>\n      <div :if={is_nil(@dataset.custom_logo)}>\n        <%= form_for @conn, espace_producteur_path(@conn, :upload_logo, @dataset.id), [as: \"upload\", multipart: :true, class: \"no-margin\"], fn f -> %>\n          <div class=\"dataset__logo\">\n            <p>{dgettext(\"espace-producteurs\", \"Your current logo\")}</p>\n            {img_tag(DB.Dataset.full_logo(@dataset), alt: @dataset.custom_title)}\n          </div>\n          <p>\n            {dgettext(\"espace-producteurs\", \"Your custom logo\")}\n          </p>\n          {file_input(f, :file, accept: \"image/png, image/jpeg\", required: true)}\n          {submit(dgettext(\"espace-producteurs\", \"Upload\"))}\n        <% end %>\n      </div>\n      <div :if={@dataset.custom_logo != nil}>\n        <%= form_for @conn, espace_producteur_path(@conn, :remove_custom_logo, @dataset.id), [ method: \"delete\", class: \"no-margin\"], fn _ -> %>\n          <div class=\"dataset__logo\">\n            <p>{dgettext(\"espace-producteurs\", \"Your current logo\")}</p>\n            {img_tag(DB.Dataset.full_logo(@dataset), alt: @dataset.custom_title)}\n          </div>\n          {submit(dgettext(\"espace-producteurs\", \"Remove the custom logo\"), class: \"button warning\")}\n        <% end %>\n      </div>\n    </div>\n  </div>\n</section>\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"producer_space\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/espace_producteur.html.heex",
    "content": "<div class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :espace_producteur])}\n</div>\n<section class=\"section section-grey reuser-space producer-space\">\n  <div class=\"container\">\n    <h1>{dgettext(\"espace-producteurs\", \"Producer space\")}</h1>\n\n    <h2>{dgettext(\"espace-producteurs\", \"Available services\")}</h2>\n    <div class=\"row pb-48\">\n      <div class=\"panel action-panel\">\n        <h4>\n          <img class=\"picto\" src={static_path(@conn, \"/images/producteurs/picto-check.svg\")} alt=\"\" />\n          {dgettext(\"espace-producteurs\", \"Validate your datasets\")}\n        </h4>\n        <div class=\"action-panel-content\">\n          <div class=\"action-text\">\n            {dgettext(\n              \"espace-producteurs\",\n              \"Before publishing, you can test your data online and check its validity.\"\n            )}\n          </div>\n          <a href={live_path(@conn, TransportWeb.Live.OnDemandValidationSelectLive)} class=\"button primary\">\n            {dgettext(\"espace-producteurs\", \"Validate a file or a feed\")}\n          </a>\n        </div>\n      </div>\n      <div class=\"panel action-panel\">\n        <h4>\n          <img class=\"picto\" src={static_path(@conn, \"/images/producteurs/picto-publier.svg\")} alt=\"\" />\n          {dgettext(\"espace-producteurs\", \"Publish a dataset\")}\n        </h4>\n        <div class=\"action-panel-content\">\n          <div class=\"action-text\">\n            {dgettext(\n              \"espace-producteurs\",\n              \"Before we can reference your mobility data on the National Access Point, you need to upload it on data.gouv.fr by publishing a new dataset.\"\n            )}<a href=\"https://doc.transport.data.gouv.fr/administration-des-donnees\"><%= dgettext(\"espace-producteurs\", \"Adding a dataset guidelines\") %></a>\n          </div>\n          <a href={dataset_creation_url()} class=\"button primary\">\n            {dgettext(\"espace-producteurs\", \"Publish a new dataset\")}\n          </a>\n        </div>\n      </div>\n      <div class=\"panel action-panel\">\n        <h4>\n          <img class=\"picto\" src={static_path(@conn, \"/images/producteurs/picto-bell.svg\")} alt=\"\" />\n          {dgettext(\"espace-producteurs\", \"Receive notifications\")}\n        </h4>\n        <div class=\"action-panel-content\">\n          <div class=\"action-text\">\n            {dgettext(\n              \"espace-producteurs\",\n              \"Receive helpful notifications about the data you publish.\"\n            )}\n          </div>\n          <a href={espace_producteur_path(@conn, :notifications)} class=\"button primary\">\n            {dgettext(\"espace-producteurs\", \"Manage notifications\")}\n          </a>\n        </div>\n      </div>\n      <div :if={show_proxy_stats_block?(@datasets)} class=\"panel action-panel\">\n        <h4>\n          <img class=\"picto\" src={static_path(@conn, \"/images/producteurs/picto-trend.svg\")} alt=\"\" />\n          {dgettext(\"espace-producteurs\", \"Your proxy statistics\")}\n        </h4>\n        <div class=\"action-panel-content\">\n          <div class=\"action-text\">\n            {dgettext(\n              \"espace-producteurs\",\n              \"Get access to traffic statistics for your feeds handled by the transport.data.gouv.fr proxy.\"\n            )}\n          </div>\n          <a href={espace_producteur_path(@conn, :proxy_statistics)} class=\"button primary\">\n            {dgettext(\"espace-producteurs\", \"See statistics\")}\n          </a>\n        </div>\n      </div>\n      <div :if={show_downloads_stats?(@datasets)} class=\"panel action-panel\">\n        <h4>\n          <img class=\"picto\" src={static_path(@conn, \"/images/producteurs/picto-trend.svg\")} alt=\"\" />\n          {dgettext(\"espace-producteurs\", \"Your download statistics\")}\n        </h4>\n        <div class=\"action-panel-content\">\n          <div class=\"action-text\">\n            {dgettext(\n              \"espace-producteurs\",\n              \"Get access to download statistics for your resources.\"\n            )}\n          </div>\n          <a href={espace_producteur_path(@conn, :download_statistics)} class=\"button primary\">\n            {dgettext(\"espace-producteurs\", \"See statistics\")}\n          </a>\n        </div>\n      </div>\n      <div class=\"panel action-panel\">\n        <h4>\n          <img class=\"picto\" src={static_path(@conn, \"/images/producteurs/picto-discussions.svg\")} alt=\"\" />\n          {dgettext(\"espace-producteurs\", \"Unanswered discussions\")}\n        </h4>\n        <div class=\"action-panel-content\">\n          <div class=\"action-text\">\n            {dgettext(\n              \"espace-producteurs\",\n              \"See unanswered discussions on your datasets.\"\n            )}\n          </div>\n          <a href={espace_producteur_path(@conn, :discussions)} class=\"button primary\">\n            {dgettext(\"espace-producteurs\", \"See unanswered discussions\")}\n          </a>\n        </div>\n      </div>\n    </div>\n\n    {render(\"_important_information.html\", datasets: @datasets, checks: @checks, conn: @conn, mode: :producer)}\n\n    <h2 class=\"pt-48\">{dgettext(\"espace-producteurs\", \"Datasets of your organisation\")}</h2>\n    {live_render(@conn, TransportWeb.Live.UserSpaceDatasetsLive,\n      session: %{\"dataset_ids\" => Enum.map(@datasets, & &1.id), \"mode\" => :producer}\n    )}\n  </div>\n  <div class=\"pt-48 tramway\">\n    <img src={static_path(@conn, \"/images/producteurs/tramway.svg\")} alt=\"\" />\n  </div>\n  <section class=\"section\">\n    <div class=\"container\">\n      <h2>{dgettext(\"espace-producteurs\", \"Useful tools and content\")}</h2>\n      <div class=\"producer-tools-content\">\n        <div class=\"panel\">\n          <div class=\"left-flex-image\">\n            <img\n              height=\"60\"\n              src={static_path(@conn, \"/images/producteurs/streamline-icon-employee-checklist.png\")}\n              alt=\"\"\n            />\n            <div>\n              <h4>{dgettext(\"espace-producteurs\", \"Publishing best practices\")}</h4>\n              <p>\n                {raw(\n                  dgettext(\n                    \"espace-producteurs\",\n                    \"Our team maintains a comprehensive documentation\",\n                    link: \"https://doc.transport.data.gouv.fr/producteurs/mettre-a-jour-des-donnees\"\n                  )\n                )}\n              </p>\n            </div>\n          </div>\n        </div>\n      </div>\n    </div>\n  </section>\n</section>\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"producer_space\"}\n  )}\n</section>\n<script nonce={get_session(@conn, :csp_nonce_value)}>\n  document.querySelectorAll('.action-panel h4').forEach(header => {\n    header.addEventListener('click', () => {\n      const allContents = document.querySelectorAll('.action-panel-content');\n      allContents.forEach(content => {\n        content.classList.toggle('hide');\n      });\n    });\n  });\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/proxy_statistics.html.heex",
    "content": "<section class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :proxy_statistics])}\n</section>\n<section class=\"producer-actions\">\n  <div class=\"container\">\n    <div class=\"proxy-statistics__header\">\n      <h2>{dgettext(\"espace-producteurs\", \"Transport proxy statistics\")}</h2>\n      <a\n        class=\"button-outline small secondary\"\n        href={espace_producteur_path(@conn, :proxy_statistics_csv)}\n        data-tracking-category=\"espace_producteur\"\n        data-tracking-action=\"download_proxy_statistics_csv\"\n      >\n        <i class=\"icon icon--download\" aria-hidden=\"true\"></i>{dgettext(\n          \"espace-producteurs\",\n          \"Download proxy statistics\"\n        )}\n      </a>\n    </div>\n    <div class=\"panel\">\n      <p>\n        {dgettext(\n          \"espace-producteurs\",\n          \"You will find below proxy statistics for your resources. You can download detailed statistics in CSV format using the button above.\"\n        )}\n      </p>\n      <%= for dataset <- Enum.sort_by(@datasets, & &1.custom_title) do %>\n        <% resources_served_by_proxy = Enum.filter(dataset.resources, &DB.Resource.served_by_proxy?/1) %>\n        <%= unless Enum.empty?(resources_served_by_proxy) do %>\n          <h3 class=\"proxy-statistics__dataset-title\">\n            {link(dataset.custom_title, to: dataset_path(@conn, :details, dataset.slug))}\n          </h3>\n          <%= for resource <- resources_served_by_proxy do %>\n            {render(\"_proxy_requests_stats.html\",\n              conn: @conn,\n              resource: resource,\n              stats_per_day: Map.fetch!(@proxy_stats, resource.id),\n              nb_days: @proxy_requests_stats_nb_days\n            )}\n          <% end %>\n        <% end %>\n      <% end %>\n    </div>\n  </div>\n</section>\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"producer_space\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/resource_form.html.heex",
    "content": "<% new_resource = is_nil(@datagouv_resource) %>\n<% resource =\n  Enum.find_value(@dataset.resources, fn resource ->\n    if resource.datagouv_id == @datagouv_resource[\"id\"], do: resource\n  end) %>\n<div class=\"add-update-resource\">\n  <section class=\"container pt-48 pb-24\">\n    <%= if new_resource do %>\n      {breadcrumbs([@conn, :new_resource, @dataset.custom_title, @dataset.id])}\n    <% else %>\n      {breadcrumbs([@conn, :update_resource, @dataset.custom_title, @dataset.id])}\n    <% end %>\n  </section>\n  <section class=\"producer-actions choose-file\">\n    <div class=\"container\">\n      <strong>\n        {@dataset.custom_title}<span :if={!new_resource}> > <%= @datagouv_resource[\"title\"] %></span>\n      </strong>\n      <div class=\"pt-24\">\n        <h2>{title(@conn)}</h2>\n      </div>\n      <div class=\"validation-reminder\">\n        <div class=\"panel\">\n          {raw(\n            dgettext(\n              \"resource\",\n              ~s|If you haven’t done it yet, think about <a href=\"%{link}\">validating your data</a> before publishing it.|,\n              link: live_path(@conn, TransportWeb.Live.OnDemandValidationSelectLive)\n            )\n          )}\n        </div>\n      </div>\n      <div class=\"option-1 mt-48\">\n        <div class=\"panel\">\n          <div>\n            <%= if new_resource do %>\n              <h4>{dgettext(\"espace-producteurs\", \"Option 1: Directly add the resource\")}</h4>\n              <p>\n                {raw(\n                  dgettext(\n                    \"resource\",\n                    ~s(This option allows you to add the resource on data.gouv.fr, directly from here. Do you want to publish a more up-to-date version of a resource? <a href=\"%{url}\">Update the resource</a> instead.),\n                    url: espace_producteur_path(@conn, :edit_dataset, @dataset.id)\n                  )\n                )}\n              </p>\n            <% else %>\n              <h4>{dgettext(\"espace-producteurs\", \"Option 1: Directly update the resource\")}</h4>\n              <p>\n                {dgettext(\n                  \"resource\",\n                  \"This option allows you to update the resource on data.gouv.fr, directly from here.\"\n                )}\n              </p>\n            <% end %>\n          </div>\n          <div>\n            {live_render(@conn, TransportWeb.Live.ValidateResourceLive,\n              session: %{\n                \"action_path\" => action_path(@conn),\n                \"datagouv_resource\" => @datagouv_resource,\n                \"new_resource\" => new_resource,\n                \"resource\" => resource,\n                \"formats\" => @formats\n              }\n            )}\n          </div>\n        </div>\n      </div>\n      <div class=\"option-2 mt-48\">\n        <div class=\"panel\">\n          <div>\n            <%= if new_resource do %>\n              <h4>\n                {dgettext(\"espace-producteurs\", \"Option 2: for more options, create the resource on data.gouv.fr\")}\n              </h4>\n              <div>\n                <a\n                  class=\"button primary\"\n                  href={datagouv_resource_creation_url(@datagouv_dataset[\"id\"])}\n                  role=\"link\"\n                  target=\"_blank\"\n                >\n                  <i class=\"icon icon--link\" aria-hidden=\"true\"></i>\n                  {dgettext(\"espace-producteurs\", \"Create it directly on data.gouv.fr\")}\n                </a>\n              </div>\n            <% else %>\n              <h4>\n                {dgettext(\"espace-producteurs\", \"Option 2: for more options, edit the resource on data.gouv.fr\")}\n              </h4>\n              <div>\n                <a\n                  class=\"button primary\"\n                  href={\n                    datagouv_resource_edit_url(\n                      @datagouv_dataset[\"id\"],\n                      Map.fetch!(@conn.params, \"resource_datagouv_id\")\n                    )\n                  }\n                  role=\"link\"\n                  target=\"_blank\"\n                >\n                  <i class=\"icon icon--link\" aria-hidden=\"true\"></i>\n                  {dgettext(\"espace-producteurs\", \"Edit directly on data.gouv.fr\")}\n                </a>\n              </div>\n            <% end %>\n          </div>\n        </div>\n      </div>\n      <div class=\"pt-48\">\n        <p>\n          {link(\n            dgettext(\"espace-producteurs\", \"I'm not sure. Learn more.\"),\n            to: \"https://doc.transport.data.gouv.fr/producteurs/mettre-a-jour-des-donnees\"\n          )}\n        </p>\n      </div>\n    </div>\n  </section>\n</div>\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"producer_space\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/espace_producteur/reuser_improved_data.html.heex",
    "content": "<section class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :reuser_improved_data, @dataset.custom_title, @dataset.id, @resource.title])}\n</section>\n<section class=\"producer-space producer-actions\">\n  <div class=\"container\">\n    <h2>{dgettext(\"espace-producteurs\", \"Reuser improved data\")}</h2>\n    <p>\n      {raw(\n        dgettext(\n          \"espace-producteurs\",\n          \"In order to help you improve the quality of your data, we have set up this space for sharing the modifications and improvements made by certain reusers.<br><br>You will thus be able to benefit from the work of reusers and better identify the differences, correct the errors and complete the missing information.<br><br>Below are the organizations that have played the game and shared their improved data as well as access to the difference report generated by our tool %{url}\",\n          url: ~s|<a href={live_path(@conn, TransportWeb.Live.GTFSDiffSelectLive)} target=\"_blank\">GTFS Diff</a>|\n        )\n      )}\n    </p>\n    <table class=\"table small-padding\">\n      <thead>\n        <tr>\n          <th>{dgettext(\"espace-producteurs\", \"Organisation\")}</th>\n          <th>{dgettext(\"espace-producteurs\", \"Logo\")}</th>\n          <th>{dgettext(\"espace-producteurs\", \"Actions\")}</th>\n        </tr>\n      </thead>\n      <tbody>\n        <%= for reuser <- Enum.sort_by(@reuser_improved_data, & &1.organization.name) do %>\n          <tr>\n            <td>{reuser.organization.name}</td>\n            <td><img src={reuser.organization.logo_thumbnail} title={reuser.organization.name} /></td>\n            <td>\n              {link(dgettext(\"espace-producteurs\", \"Download reuser GTFS\"),\n                to: reuser.download_url,\n                class: \"button-outline reuser small\",\n                target: \"_blank\",\n                \"data-tracking-category\": \"espace_producteur\",\n                \"data-tracking-action\": \"download_reuser_gtfs\"\n              )}\n              {link(dgettext(\"espace-producteurs\", \"Compare with my GTFS\"),\n                to:\n                  live_path(@conn, TransportWeb.Live.GTFSDiffSelectLive,\n                    modified_url: reuser.download_url,\n                    reference_url: @resource.url\n                  ),\n                class: \"button-outline primary small\",\n                target: \"_blank\",\n                \"data-tracking-category\": \"espace_producteur\",\n                \"data-tracking-action\": \"see_gtfs_diff_report\"\n              )}\n            </td>\n          </tr>\n        <% end %>\n      </tbody>\n    </table>\n  </div>\n</section>\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"producer_space\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/explore/explore.html.heex",
    "content": "<% real_time_datasets = dataset_path(@conn, :index, type: \"public-transit\", filter: \"has_realtime\") %>\n<% bnlc_link = dataset_path(@conn, :details, @bnlc_dataset.slug) %>\n<% zfe_link = dataset_path(@conn, :details, @zfe_dataset.slug) %>\n<% irve_link = dataset_path(@conn, :details, @irve_dataset.slug) %>\n<% vehicles_sharing_datasets_link = dataset_path(@conn, :index, type: \"vehicles-sharing\") %>\n<div class=\"container dataset-page-top explore\">\n  <h2>{dgettext(\"explore\", \"Data exploration map\")}</h2>\n\n  <div class=\"grid\">\n    <div class=\"checkbox-explore gtfs-rt\">\n      <input id=\"gtfs-rt-check\" name=\"gtfs-rt\" type=\"checkbox\" value=\"true\" checked={@gtfs_rt} />\n      <details>\n        <summary>\n          {dgettext(\"explore\", \"Real time vehicle positions (GTFS-RT)\")}\n        </summary>\n        {raw(\n          dgettext(\"explore\", \"gtfs-rt-explanation\",\n            link:\n              safe_to_string(link(dgettext(\"explore\", \"GTFS-RT feeds referenced on this site\"), to: real_time_datasets))\n          )\n        )}\n      </details>\n    </div>\n    <div class=\"checkbox-explore bnlc\">\n      <input id=\"bnlc-check\" name=\"bnlc\" type=\"checkbox\" value=\"true\" checked={@bnlc} />\n      <details>\n        <summary>\n          {dgettext(\"explore\", \"Carpooling areas national database\")}\n        </summary>\n        {raw(\n          dgettext(\"explore\", \"bnlc-explanation\",\n            link: safe_to_string(link(dgettext(\"explore\", \"dataset\"), to: bnlc_link))\n          )\n        )}\n      </details>\n    </div>\n    <div class=\"checkbox-explore zfe\">\n      <input id=\"zfe-check\" name=\"zfe\" type=\"checkbox\" value=\"true\" checked={@zfe} />\n      <details>\n        <summary>\n          {dgettext(\"explore\", \"Low emission zones database\")}\n        </summary>\n        {raw(\n          dgettext(\"explore\", \"lez-explanation\",\n            link: safe_to_string(link(dgettext(\"explore\", \"dataset\"), to: zfe_link))\n          )\n        )}\n      </details>\n    </div>\n    <div class=\"checkbox-explore irve\">\n      <input id=\"irve-check\" name=\"irve\" type=\"checkbox\" value=\"true\" checked={@irve} />\n      <details>\n        <summary>\n          {dgettext(\"explore\", \"IRVE map\")}\n        </summary>\n        {raw(\n          dgettext(\"explore\", \"irve-explanation\",\n            link: safe_to_string(link(dgettext(\"explore\", \"dataset\"), to: irve_link))\n          )\n        )}\n      </details>\n    </div>\n    <div class=\"checkbox-explore gbfs_stations\">\n      <input id=\"gbfs_stations-check\" name=\"gbfs_stations\" type=\"checkbox\" value=\"true\" checked={@gbfs_stations} />\n      <details>\n        <summary>\n          {dgettext(\"explore\", \"GBFS stations\")}\n        </summary>\n        {raw(\n          dgettext(\"explore\", \"gbfs-stations-explanation\",\n            vehicles_sharing_datasets_link: vehicles_sharing_datasets_link\n          )\n        )}\n      </details>\n    </div>\n  </div>\n  <div class=\"form__group\">\n    <%= form_for @conn, explore_path(@conn, :index), [method: \"get\"], fn f -> %>\n      <div class=\"searchBar\">\n        {search_input(f, :q,\n          id: \"autoComplete\",\n          class: \"no_legend\",\n          autocomplete: \"off\",\n          placeholder: dgettext(\"explore\", \"Search a city\"),\n          \"aria-label\": dgettext(\"explore\", \"Search a city\")\n        )}\n        <div class=\"autoCompleteResultsField\">\n          <div id=\"autoCompleteResults\"></div>\n        </div>\n      </div>\n    <% end %>\n  </div>\n</div>\n\n<div id=\"map\" class=\"explore_map\"></div>\n\n<script src={static_path(@conn, \"/js/autocomplete_address.js\")}>\n</script>\n<script src={static_path(@conn, \"/js/explore.js\")}>\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/explore/gtfs_stops.html.heex",
    "content": "<div class=\"container dataset-page-top\">\n  <h2>{@page_title}</h2>\n  <p>\n    {raw(\n      dgettext(\"explore\", \"Consolidated GTFS stops map explanation\",\n        github_issue_link: ~s(<a href=\"https://github.com/etalab/transport-site/issues/3167\">#3167</a>),\n        gtfs_stops_dataset_path: dataset_path(@conn, :details, \"arrets-de-transport-en-france\"),\n        swagger_doc_path: \"/swaggerui#/gtfs/API.GTFSStopsController.index\"\n      )\n    )}\n  </p>\n\n  <div class=\"form__group\">\n    <%= form_for @conn, explore_path(@conn, :gtfs_stops), [method: \"get\"], fn f -> %>\n      <div class=\"searchBar\">\n        {search_input(f, :q,\n          id: \"autoComplete\",\n          class: \"no_legend\",\n          autocomplete: \"off\",\n          placeholder: dgettext(\"explore\", \"Search a city\"),\n          \"aria-label\": dgettext(\"explore\", \"Search a city\")\n        )}\n        <div class=\"autoCompleteResultsField\">\n          <div id=\"autoCompleteResults\"></div>\n        </div>\n      </div>\n    <% end %>\n  </div>\n</div>\n\n<div id=\"map\" class=\"explore_map\"></div>\n\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive, session: %{\"feature\" => \"gtfs_stops\"})}\n</section>\n\n<script src={static_path(@conn, \"/js/gtfs.js\")}>\n</script>\n<script src={static_path(@conn, \"/js/autocomplete_address.js\")}>\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/gbfs_analyzer/index.html.heex",
    "content": "<section>\n  <div class=\"container\">\n    <div class=\"validation-title\">\n      <h2>{dgettext(\"validations\", \"GBFS validation report\")}</h2>\n      <p>\n        {dgettext(\"validations\", ~s(This is the validation report of the GBFS feed %{link}.), link: @gbfs_url)}\n      </p>\n    </div>\n  </div>\n\n  <div class=\"validation-content\">\n    <div class=\"container\">\n      <%= if @metadata == %{} do %>\n        <div>\n          {raw(dgettext(\"gbfs_analyzer\", \"error message\"))}\n        </div>\n      <% else %>\n        <% validation = Map.get(@metadata, :validation) %>\n        <h2>{dgettext(\"gbfs_analyzer\", \"Validation\")}</h2>\n        <%= unless is_nil(validation) do %>\n          <table class=\"table\">\n            <tr>\n              <td>{dgettext(\"gbfs_analyzer\", \"Number of detected errors\")}</td>\n              <td>\n                <% errorsN = Map.get(validation, :errors_count) %>\n                <%= unless is_nil(errorsN) do %>\n                  {errorsN}\n                  <%= if errorsN == 0 do %>\n                    <span class=\"pl-24\">🎉</span>\n                  <% end %>\n                <% end %>\n              </td>\n            </tr>\n            <% version_detected = Map.get(validation, :version_detected) %>\n            <%= unless is_nil(version_detected) do %>\n              <tr>\n                <td>\n                  {dgettext(\"gbfs_analyzer\", \"Detected version\")}\n                </td>\n                <td>\n                  {validation.version_detected}\n                </td>\n              </tr>\n            <% end %>\n            <% version_validated = Map.get(validation, :version_validated) %>\n            <%= unless is_nil(version_validated) do %>\n              <tr>\n                <td>\n                  {dgettext(\"gbfs_analyzer\", \"Validated version\")}\n                </td>\n                <td>\n                  {validation.version_validated}\n                </td>\n              </tr>\n            <% end %>\n            <tr>\n              <td>\n                {dgettext(\"gbfs_analyzer\", \"Detailed validation\")}\n              </td>\n              <td>\n                {link(dgettext(\"gbfs_analyzer\", \"Link\"), to: gbfs_validation_link(@gbfs_url), target: \"blank\")}\n              </td>\n            </tr>\n          </table>\n        <% else %>\n          <div class=\"notification\">\n            {dgettext(\"gbfs_analyzer\", \"validation was not performed\")}\n          </div>\n        <% end %>\n\n        <h2>{dgettext(\"gbfs_analyzer\", \"Metadata\")}</h2>\n        <table class=\"table\">\n          <% name = get_in(@metadata, [:system_details, \"name\"]) %>\n          <%= unless is_nil(name) do %>\n            <tr>\n              <td>\n                {dgettext(\"gbfs_analyzer\", \"Feed Name\")}\n              </td>\n              <td>\n                {name}\n              </td>\n            </tr>\n          <% end %>\n\n          <tr>\n            <td>{dgettext(\"gbfs_analyzer\", \"Feeds\")}</td>\n            <td>\n              <ul>\n                <%= for feed <- @metadata |> Map.get(:feeds, []) |> Enum.sort() do %>\n                  <li>{feed}</li>\n                <% end %>\n              </ul>\n            </td>\n          </tr>\n          <% languages = Map.get(@metadata, :languages) %>\n          <%= unless is_nil(languages) do %>\n            <tr>\n              <td>\n                {dgettext(\"gbfs_analyzer\", \"Languages\")}\n              </td>\n              <td>\n                <ul>\n                  <%= for l <- @metadata.languages do %>\n                    <li>{l}</li>\n                  <% end %>\n                </ul>\n              </td>\n            </tr>\n          <% end %>\n\n          <% timezone = get_in(@metadata, [:system_details, \"timezone\"]) %>\n          <%= unless is_nil(timezone) do %>\n            <tr>\n              <td>\n                {dgettext(\"gbfs_analyzer\", \"Timezone\")}\n              </td>\n              <td>\n                {timezone}\n              </td>\n            </tr>\n          <% end %>\n        </table>\n\n        <h2>{dgettext(\"gbfs_analyzer\", \"Visualization\")}</h2>\n        <div id=\"map\" class=\"leaflet-map\"></div>\n\n        <%= unless is_nil(Map.get(@metadata, :feeds)) do %>\n          <h2 class=\"pb-12\">{dgettext(\"gbfs_analyzer\", \"GeoJSONs\")}</h2>\n          <%= if \"station_information\" in @metadata.feeds do %>\n            <span class=\"panel p-12 mr-24\">\n              <i class=\"icon icon--download\" aria-hidden=\"true\"></i>\n              {link(\"GeoJSON stations\",\n                to: gbfs_to_geojson_path(@conn, :convert, url: @gbfs_url, output: \"stations\"),\n                target: \"blank\"\n              )}\n            </span>\n          <% end %>\n\n          <%= if \"free_bike_status\" in @metadata.feeds do %>\n            <span class=\"panel p-12 mr-24\">\n              <i class=\"icon icon--download\" aria-hidden=\"true\"></i>\n              {link(\"GeoJSON free-floating \",\n                to: gbfs_to_geojson_path(@conn, :convert, url: @gbfs_url, output: \"free_floating\"),\n                target: \"blank\"\n              )}\n            </span>\n          <% end %>\n\n          <%= if \"geofencing_zones\" in @metadata.feeds do %>\n            <span class=\"panel p-12 mr-24\">\n              <i class=\"icon icon--download\" aria-hidden=\"true\"></i>\n              {link(\"GeoJSON geofencing \",\n                to: gbfs_to_geojson_path(@conn, :convert, url: @gbfs_url, output: \"geofencing_zones\"),\n                target: \"blank\"\n              )}\n            </span>\n          <% end %>\n        <% end %>\n      <% end %>\n    </div>\n  </div>\n</section>\n\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive, session: %{\"feature\" => \"gbfs_validation\"})}\n</section>\n\n<script src={static_path(@conn, \"/js/resourceviz.js\")} />\n<script>\n  document.addEventListener(\"DOMContentLoaded\", function() {\n    createMap('map', \"<%= @gbfs_url %>\", \"gbfs\", \"<%= get_session(@conn, :locale) %>\")\n  })\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/geojson_conversion/index.html.heex",
    "content": "<section class=\"single-page section section-grey\">\n  <div class=\"container\">\n    <article class=\"panel\">\n      <h1>Convertir un GTFS en GeoJson</h1>\n      <%= form_for @conn, geojson_conversion_path(@conn, :convert), [as: \"upload\", multipart: :true], fn f -> %>\n        {file_input(f, :file, accept: \".zip\")}\n        {submit(dgettext(\"validations\", \"Upload\"))}\n      <% end %>\n    </article>\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/landing_pages/vls.html.heex",
    "content": "<% cta_url = TransportWeb.Router.Helpers.dataset_url(@conn, :index, type: \"vehicles-sharing\") %>\n<article class=\"landing_page_vls\">\n  <div class=\"wrapper\">\n    <header class=\"center\">\n      <h1>\n        {dgettext(\"landing-vls\", \"Access free self-service vehicle data in France\")}\n      </h1>\n      <p>\n        {dgettext(\"landing-vls\", \"description\")}\n      </p>\n      {dgettext(\"landing-vls\", \"Directly access the data\")\n      |> link(to: cta_url, class: \"cta\")}\n    </header>\n\n    <section class=\"banner\">\n      <h2>{dgettext(\"landing-vls\", \"A complex ecosystem\")}</h2>\n    </section>\n\n    <section class=\"ecosystem\">\n      <ul>\n        <li>\n          <img src={static_path(@conn, \"/images/landing_pages/vls/multiple-actors.png\")} loading=\"lazy\" />\n          <span>{dgettext(\"landing-vls\", \"A multiplicity of actors in France\")}</span>\n        </li>\n        <li>\n          <img src={static_path(@conn, \"/images/landing_pages/vls/services-types.png\")} loading=\"lazy\" />\n          <span>{dgettext(\"landing-vls\", \"Many types of services\")}</span>\n        </li>\n        <li>\n          <img src={static_path(@conn, \"/images/landing_pages/vls/multiple-formats.png\")} loading=\"lazy\" />\n          <span>{dgettext(\"landing-vls\", \"Different data exchange formats\")}</span>\n        </li>\n      </ul>\n    </section>\n\n    <section class=\"banner blue\">\n      <h2>\n        {dgettext(\"landing-vls\", \"Easily explore and reuse data from AOMs and their service providers\")\n        |> aoms_abbreviation()\n        |> raw()}\n      </h2>\n    </section>\n\n    <section class=\"statistics\">\n      <ul>\n        <li>\n          <span class=\"figure\">{@national_coverage}%</span>\n          <span class=\"description\">\n            {dgettext(\"landing-vls\", \"National coverage\")}\n          </span>\n        </li>\n        <li>\n          <span class=\"figure\">{@resources}</span>\n          <span class=\"description\">\n            {dgettext(\"landing-vls\", \"GBFS resources\") |> gbfs_abbreviation() |> raw()}\n          </span>\n        </li>\n        <li>\n          <span class=\"figure\">{@vehicles |> format_integer()}+</span>\n          <span class=\"description\">\n            {dgettext(\"landing-vls\", \"Self-service vehicles\")}\n          </span>\n        </li>\n      </ul>\n    </section>\n  </div>\n\n  <section class=\"arguments\">\n    <div class=\"center\">\n      <div class=\"argument left\">\n        <p class=\"comment\">\n          <a href=\"/explore?gbfs-stations=yes\">\n            {dgettext(\"landing-vls\", \"Coverage of services available by territory\")}\n          </a>\n        </p>\n\n        <picture>\n          <a\n            aria-label={dgettext(\"landing-vls\", \"Coverage of services available by territory\")}\n            href=\"/explore?gbfs-stations=yes\"\n          >\n            <img src={static_path(@conn, \"/images/landing_pages/vls/explore_map.png\")} loading=\"lazy\" />\n          </a>\n        </picture>\n      </div>\n\n      <div class=\"argument right\">\n        <p class=\"comment\">\n          <a href=\"https://gbfs.org/fr/documentation/\" target=\"_blank\">\n            {dgettext(\"landing-vls\", \"Real-time data in GBFS format\") |> gbfs_abbreviation() |> raw()}\n          </a>\n        </p>\n\n        <picture>\n          <a\n            href=\"https://gbfs.org/fr/documentation/\"\n            target=\"_blank\"\n            aria-label={dgettext(\"landing-vls\", \"Real-time data in GBFS format\")}\n          >\n            <img src={static_path(@conn, \"/images/landing_pages/vls/realtime.png\")} loading=\"lazy\" />\n          </a>\n        </picture>\n      </div>\n\n      <div class=\"argument left\">\n        <p class=\"comment\">\n          <a href={reuser_space_path(@conn, :espace_reutilisateur, utm_campaign: \"landing_vls\")}>\n            {dgettext(\"landing-vls\", \"A personalized space to stay informed\")} ❤️\n          </a>\n        </p>\n\n        <picture>\n          <a\n            aria-label={dgettext(\"landing-vls\", \"Access your reuser space\")}\n            href={reuser_space_path(@conn, :espace_reutilisateur, utm_campaign: \"landing_vls\")}\n          >\n            <img src={static_path(@conn, \"/images/landing_pages/vls/espace-reutilisateur.png\")} loading=\"lazy\" />\n          </a>\n        </picture>\n      </div>\n    </div>\n  </section>\n\n  <footer>\n    {dgettext(\"landing-vls\", \"Access the data\")\n    |> link(to: cta_url, class: \"cta\")}\n    <p>\n      {dgettext(\n        \"landing-vls\",\n        \"If you have any questions, the transport.data.gouv.fr team is available to help you reuse this data.\"\n      )\n      |> homepage_link()\n      |> raw()}\n    </p>\n  </footer>\n</article>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/layout/_breaking_news.html.heex",
    "content": "<div :if={Phoenix.Flash.get(@flash, :breaking_news_info)} class=\"notification\">\n  {@flash |> Phoenix.Flash.get(:breaking_news_info) |> markdown_to_safe_html!()}\n</div>\n\n<div :if={Phoenix.Flash.get(@flash, :breaking_news_error)} class=\"notification message--error\">\n  {@flash |> Phoenix.Flash.get(:breaking_news_error) |> markdown_to_safe_html!()}\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/layout/_footer.html.heex",
    "content": "<footer class=\"footer\" id=\"footer\">\n  <a href=\"#mail_form\" class=\"mail__button\" aria-label={dgettext(\"page-index\", \"Ask for help\")}>\n    <i class=\"fas icon--envelope\"></i>\n    <span>{dgettext(\"page-index\", \"Ask for help\")}</span>\n  </a>\n  <div class=\"modal__backdrop\" id=\"mail_form\">\n    <div class=\"footer__contact\">\n      <a class=\"footer__contact--close\" href=\"#\" aria-label={dgettext(\"page-index\", \"Close the form\")}>\n        <i class=\"fas icon--times-circle\"></i>\n      </a>\n      <%= form_for @conn, contact_path(@conn, :send_mail), fn f -> %>\n        <h3>Contact</h3>\n        <p>\n          {raw(\n            gettext(\n              ~s|Did you read our <a href=\"%{url}\" target=\"_blank\">online documentation</a>? Your answer is likely there.|,\n              url: \"https://doc.transport.data.gouv.fr\"\n            )\n          )}\n        </p>\n        <%= label f, :email do %>\n          {gettext(\"Email address\")}{email_input(f, :email,\n            value: Map.get(@current_user || %{}, \"email\"),\n            type: \"email\",\n            required: true\n          )}\n        <% end %>\n\n        <%= label f, :user_type, class: \"pt-12\" do %>\n          {gettext(\"I am\")} {select(\n            f,\n            :user_type,\n            [\n              [key: gettext(\"Choose an option\"), value: \"\", disabled: true, selected: true],\n              [key: gettext(\"Data producer\"), value: \"data-producer\"],\n              [key: gettext(\"Data reuser\"), value: \"data-reuser\"],\n              [key: gettext(\"Other\"), value: \"other\"]\n            ],\n            required: true\n          )}\n        <% end %>\n\n        <%= label f, :question_type, class: \"pt-12\" do %>\n          {gettext(\"My question is about\")} {select(\n            f,\n            :question_type,\n            [\n              [key: gettext(\"Choose an option\"), value: \"\", disabled: true, selected: true],\n              [key: gettext(\"The website transport.data.gouv.fr\"), value: \"website\"],\n              [key: gettext(\"Data I can't find\"), value: \"data-not-found\"],\n              [key: gettext(\"Technical support\"), value: \"technical-support\"],\n              [key: gettext(\"Legal requirements\"), value: \"legal-requirements\"],\n              [key: gettext(\"Other\"), value: \"other\"]\n            ],\n            required: true\n          )}\n        <% end %>\n\n        {text_input(f, :name,\n          placeholder: \"your name\",\n          class: \"form-special-field\",\n          tabindex: \"-1\",\n          autocomplete: \"off\"\n        )}\n        <%= label f, :subject, class: \"pt-12\" do %>\n          {gettext(\"Subject\")}{text_input(f, :subject, required: true)}\n        <% end %>\n        <%= label f, :question, class: \"pt-12\" do %>\n          {gettext(\"Question\")}{textarea(f, :question, required: true)}\n        <% end %>\n        {submit(gettext(\"Send email\"))}\n      <% end %>\n    </div>\n  </div>\n  <div class=\"container\">\n    <div class=\"footer__logo\">\n      {link(\"Ministère des Transports\",\n        to: \"https://www.ecologie.gouv.fr\",\n        class: \"ministere-link\"\n      )}\n      {link(img_tag(\"/images/logo-footer.svg\", alt: \"transport.data.gouv.fr\"), to: \"/\")}\n    </div>\n    <ul class=\"footer__links\">\n      <li>\n        <a class=\"footer__link footer__link--contact\" href=\"#mail_form\">\n          {gettext(\"Contact\")}\n        </a>\n      </li>\n      <li>\n        <a\n          class=\"footer__link\"\n          target=\"_blank\"\n          href=\"https://doc.transport.data.gouv.fr/outils/outils-disponibles-sur-le-pan/api\"\n        >\n          API\n        </a>\n      </li>\n      <li>\n        <a\n          class=\"footer__link\"\n          target=\"_blank\"\n          href=\"https://doc.transport.data.gouv.fr/le-point-d-acces-national/generalites/le-point-dacces-national\"\n        >\n          FAQ\n        </a>\n      </li>\n      <li>\n        <a class=\"footer__link\" target=\"_blank\" href=\"https://github.com/etalab/transport-site/\">\n          {gettext(\"Source code\")}\n        </a>\n      </li>\n      <li>\n        <a class=\"footer__link\" href=\"/legal\">\n          {gettext(\"Legal Information\")}\n        </a>\n      </li>\n      <li>\n        <a class=\"footer__link\" target=\"_blank\" href=\"/budget\">\n          {gettext(\"Budget\")}\n        </a>\n      </li>\n      <li>\n        <a class=\"footer__link\" href={page_path(@conn, :accessibility)}>\n          {gettext(\"Accessibility: non-compliant\")}\n        </a>\n      </li>\n    </ul>\n  </div>\n</footer>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/layout/_header.html.heex",
    "content": "<header class=\"navbar\">\n  <div class=\"navbar__container\">\n    <a href=\"/\" class=\"navbar__home\">\n      {img_tag(\"/images/logo-ministere-transports-2026-03.png\",\n        alt: gettext(\"transport.data.gouv.fr\"),\n        class: \"navbar__logo-mariane\"\n      )}\n      {img_tag(\"/images/logo-black.svg\", alt: gettext(\"transport.data.gouv.fr\"), class: \"navbar__logo-black\")}\n    </a>\n    <nav>\n      <a href=\"#menu\" class=\"nav__hamburger\" aria-label={dgettext(\"page-index\", \"Open the menu\")}>\n        <i class=\"fa fa-bars\"></i>\n      </a>\n      <div id=\"menu\">\n        <a id=\"close-menu\" href=\"#\" aria-label={dgettext(\"page-index\", \"Close the menu\")}>\n          <i class=\"fas icon--times-circle\"></i>&nbsp\n        </a>\n        <ul class=\"nav__links top-nav-links\">\n          <li class=\"nav__item\">\n            <button type=\"button\" class=\"dropdown\">\n              {gettext(\"Data\")}\n              <div class=\"dropdown-content\">\n                {link(gettext(\"Datasets\"), to: dataset_path(@conn, :index))}\n                {link(gettext(\"Data exploration map\"), to: explore_path(@conn, :index))}\n                {link(gettext(\"National GTFS stops map\"), to: explore_path(@conn, :gtfs_stops))}\n                {link(gettext(\"Reuses\"), to: reuse_path(@conn, :index))}\n              </div>\n            </button>\n          </li>\n          <li class=\"nav__item\">\n            {link(gettext(\"Documentation\"), to: \"https://doc.transport.data.gouv.fr\")}\n          </li>\n          <li class=\"nav__item\">\n            <button type=\"button\" class=\"dropdown\">\n              {gettext(\"Tools\")}\n              <div class=\"dropdown-content\">\n                {link(gettext(\"Check the quality of a file or a feed\"),\n                  to: live_path(@conn, TransportWeb.Live.OnDemandValidationSelectLive)\n                )}\n                {link(gettext(\"Compare two GTFS files\"),\n                  to: live_path(@conn, TransportWeb.Live.GTFSDiffSelectLive)\n                )}\n                {link(gettext(\"SIRI query generator\"), to: live_path(@conn, TransportWeb.Live.SIRIQuerierLive))}\n\n                {link(gettext(\"Accèslibre Mobilités\"), to: \"https://mtes-mct.github.io/alm-docs/\", target: \"_blank\")}\n                {link(gettext(\"Service status\"), to: \"https://status.transport.data.gouv.fr\", target: \"_blank\")}\n              </div>\n            </button>\n          </li>\n          <li class=\"nav__item\">\n            {link(gettext(\"Statistics\"), to: stats_path(@conn, :index))}\n          </li>\n          <li class=\"nav__item\">\n            <button type=\"button\" class=\"dropdown\">\n              {gettext(\"Regulation\")}\n              <div class=\"dropdown-content\">\n                {link(gettext(\"Standards\"), to: \"https://normes.transport.data.gouv.fr\", target: \"_blank\")}\n                {link(gettext(\"Declaration of conformity\"),\n                  to:\n                    \"https://doc.transport.data.gouv.fr/presentation-et-mode-demploi-du-pan/declaration-de-conformite\",\n                  target: \"_blank\"\n                )}\n              </div>\n            </button>\n          </li>\n          <li class=\"nav__item\">\n            <button type=\"button\" class=\"dropdown\">\n              {gettext(\"About\")}\n              <div class=\"dropdown-content\">\n                {link(gettext(\"Our missions\"), to: page_path(@conn, :missions))}\n                {link(gettext(\"New features\"), to: page_path(@conn, :nouveautes))}\n              </div>\n            </button>\n          </li>\n          <li class=\"nav__item\">\n            {link(gettext(\"Blog\"), to: \"https://blog.transport.data.gouv.fr\")}\n          </li>\n          <%= if assigns[:current_user] do %>\n            <li class=\"nav__item\">\n              <button type=\"button\" class=\"dropdown\">\n                <div class=\"user-name-display\">\n                  <img :if={avatar_url(@conn)} src={avatar_url(@conn)} alt=\"Avatar\" class=\"nav__avatar\" />\n                  <span class=\"nav__username\">\n                    <%= if assigns[:current_user][\"first_name\"] && assigns[:current_user][\"last_name\"] do %>\n                      {assigns[:current_user][\"first_name\"]} {assigns[:current_user][\"last_name\"]}\n                    <% else %>\n                      {gettext(\"My account\")}\n                    <% end %>\n                  </span>\n                  <% notifications_count = notifications_count(@conn) %>\n                  <.notification_count count={notifications_count} static={true} />\n                </div>\n                <div class=\"dropdown-content\">\n                  <%= if TransportWeb.Session.admin?(@conn) do %>\n                    {link(\"Administration\", to: \"/backoffice\")}\n                  <% end %>\n                  <%= if TransportWeb.Session.producer?(@conn) do %>\n                    <a\n                      class=\"with-badge\"\n                      data-link-name=\"producer-space\"\n                      href={espace_producteur_path(@conn, :espace_producteur, utm_campaign: \"menu_dropdown\")}\n                    >\n                      {gettext(\"Producer space\")}\n                      <.notification_count count={producer_notifications_count(@conn)} static={true} />\n                    </a>\n                  <% end %>\n                  <a\n                    class=\"with-badge\"\n                    data-link-name=\"reuser-space\"\n                    href={reuser_space_path(@conn, :espace_reutilisateur, utm_campaign: \"menu_dropdown\")}\n                  >\n                    {gettext(\"Reuser space\")}\n                    <.notification_count count={reuser_notifications_count(@conn)} static={true} />\n                  </a>\n                  <a\n                    class=\"navigation__link nagivation__link--logout\"\n                    href={session_path(@conn, :delete, redirect_path: current_path(@conn))}\n                  >\n                    <i class=\"icon icon--logout\" aria-hidden=\"true\"></i>\n                    <span>{gettext(\"Sign Out\")}</span>\n                  </a>\n                </div>\n              </button>\n            </li>\n          <% else %>\n            <li class=\"nav__item\">\n              <a\n                class=\"navigation__link navigation__link--login\"\n                href={page_path(@conn, :login, redirect_path: current_path(@conn))}\n              >\n                <i class=\"icon icon--login\" aria-hidden=\"true\"></i>\n                <span>{gettext(\"Sign In\")}</span>\n              </a>\n            </li>\n          <% end %>\n          <li class=\"nav__item\">\n            <button type=\"button\" class=\"dropdown\">\n              <%= if get_session(@conn, :locale) == \"fr\" do %>\n                <img src={static_path(@conn, \"/images/icons/fr.png\")} alt=\"Français\" height=\"18px\" />\n              <% else %>\n                <img src={static_path(@conn, \"/images/icons/en.png\")} alt=\"English\" height=\"18px\" />\n              <% end %>\n              <div class=\"dropdown-content languages\">\n                {link(\"Français\", to: add_locale_to_url(@conn, \"fr\"))}\n                {link(\"English\", to: add_locale_to_url(@conn, \"en\"))}\n              </div>\n            </button>\n          </li>\n        </ul>\n      </div>\n    </nav>\n  </div>\n</header>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/layout/app.html.heex",
    "content": "<!DOCTYPE html>\n<html lang={get_session(@conn, :locale)}>\n  <head>\n    <meta charset=\"utf-8\" />\n    <meta http-equiv=\"X-UA-Compatible\" content=\"IE=edge\" />\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\" />\n    <meta name=\"author\" content=\"Ministère des Transports\" />\n    <meta name=\"csrf\" content={get_csrf_token()} />\n\n    <% seo = metadata(Phoenix.Controller.view_module(@conn), assigns) %>\n    <% title = seo[:title] || dgettext(\"seo\", \"National Access Point for transport open data\") %>\n    <% description = seo[:description] || dgettext(\"seo\", \"Publish, improve and reuse French public transport data\") %>\n    <meta name=\"description\" content={description} />\n    <title>{title}</title>\n\n    <meta property=\"og:title\" content={title} />\n    <meta property=\"og:image\" content={static_url(@conn, \"/images/transport-social-share.png\")} />\n    <meta property=\"og:type\" content=\"website\" />\n    <meta property=\"og:description\" content={description} />\n    <meta property=\"og:locale\" content={get_session(@conn, :locale)} />\n\n    <meta name=\"twitter:card\" content=\"summary\" />\n    <meta property=\"twitter:title\" content={title} />\n    <meta property=\"twitter:image\" content={static_url(@conn, \"/images/transport-social-share.png\")} />\n    <meta property=\"twitter:description\" content={description} />\n\n    <link rel=\"stylesheet\" media=\"all\" href={static_path(@conn, \"/css/app.css\")} />\n    <link rel=\"alternate\" type=\"application/atom+xml\" href={atom_url(@conn, :index)} title=\"Resources feed\" />\n    <link type=\"text/plain\" rel=\"author\" href={page_url(@conn, :humans_txt)} />\n    <%= if assigns[:mix_env] == :prod do %>\n      <!-- Polyfill for css grid-->\n      <script type=\"text/javascript\">\n        if(/MSIE \\d|Trident.*rv:/.test(navigator.userAgent)) {\n          document.write('<script src=\"https://unpkg.com/@babel/polyfill@7.0.0/dist/polyfill.js\"><\\/script>');\n          document.write('<script src=\"https://unpkg.com/url-polyfill@1.0.14/url-polyfill.js\"><\\/script>');\n        }\n      </script>\n      <!-- Matomo -->\n      <script type=\"text/javascript\">\n        var _paq = _paq || [];\n        _paq.push([\"setCookieDomain\", \"*.transport.data.gouv.fr\"]);\n        _paq.push([\"setDomains\", \"*.transport.data.gouv.fr\"]);\n        _paq.push([\"HeatmapSessionRecording::disable\"]);\n        _paq.push([\"trackPageView\"]);\n        _paq.push([\"enableLinkTracking\"]);\n        window._paq = _paq;\n        (function() {\n          var u=\"//stats.data.gouv.fr/\";\n          _paq.push([\"setTrackerUrl\", u+\"matomo.php\"]);\n          _paq.push([\"setSiteId\", \"58\"]);\n          var d=document, g=d.createElement('script'), s=d.getElementsByTagName(\"script\")[0];\n          g.type=\"text/javascript\"; g.async=true; g.defer=true; g.src=u+\"matomo.js\"; s.parentNode.insertBefore(g,s);\n        })();\n      </script>\n      <!-- End Matomo Code -->\n    <% end %>\n    <%= if assigns[:extra_script_tags] do %>\n      {apply(&render/2, assigns[:extra_script_tags])}\n    <% end %>\n  </head>\n\n  <body>\n    {render(LayoutView, \"_header.html\", assigns)}\n\n    <main class=\"layout-main\">\n      <%= if has_flash(@conn) do %>\n        {render(LayoutView, \"_breaking_news.html\", assigns)}\n        <%= if Phoenix.Flash.get(@flash, :info) do %>\n          <p class=\"notification\">{Phoenix.Flash.get(@flash, :info)}</p>\n        <% end %>\n        <%= if Phoenix.Flash.get(@flash, :errors) do %>\n          <%= for error <- Phoenix.Flash.get(@flash, :errors) do %>\n            <p class=\"notification message--error\">{error}</p>\n          <% end %>\n        <% end %>\n        <%= if Phoenix.Flash.get(@flash, :error) do %>\n          <p class=\"notification message--error\">{Phoenix.Flash.get(@flash, :error)}</p>\n        <% end %>\n      <% end %>\n\n      {@inner_content}\n    </main>\n\n    {render(LayoutView, \"_footer.html\", assigns)}\n  </body>\n  <script defer type=\"text/javascript\" src={static_path(@conn, \"/js/app.js\")} />\n</html>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/layout/email.html.heex",
    "content": "<!doctype html>\n<html\n  xmlns=\"http://www.w3.org/1999/xhtml\"\n  xmlns:v=\"urn:schemas-microsoft-com:vml\"\n  xmlns:o=\"urn:schemas-microsoft-com:office:office\"\n>\n  <head>\n    <meta http-equiv=\"Content-Type\" content=\"text/html; charset=UTF-8\" />\n    <meta name=\"viewport\" content=\"width=device-width; initial-scale=1.0; maximum-scale=1.0;\" />\n    <style type=\"text/css\">\n          .hide-white {\n            display: none !important;\n          }\n\n          .hide-black {\n            display: block !important;\n          }\n\n          /********* DARK MODE ************/\n          :root {\n            color-scheme: light dark;\n            supported-color-schemes: light dark;\n          }\n\n          @media (prefers-color-scheme: dark) {\n            body {\n              background: #161616 !important;\n              font-color: #ffffff !important;\n            }\n\n            svg {\n              fill: white;\n              filter: invert(1);\n            }\n\n            .white {\n              fill: #ffffff !important;\n              filter: invert(1);\n            }\n\n            .hide-black {\n              display: none !important;\n            }\n\n            .hide-white {\n              display: block !important;\n            }\n\n            .darkmode {\n              background-color: #161616 !important;\n              font-color: #ffffff !important;\n              color: #ffffff !important;\n              background: none !important;\n              border-color: #2A2A2A !important;\n            }\n\n            .darkmode-1 {\n              background-color: #161616 !important;\n              font-color: #CECECE !important;\n              color: #CECECE !important;\n              background: none !important;\n            }\n\n            .darkmode-2 {\n              background-color: #242424 !important;\n              font-color: #ffffff !important;\n              color: #ffffff !important;\n              border-color: #2A2A2A !important;\n            }\n\n            .darkmode-3 {\n              background-color: #1E1E1E !important;\n              font-color: #ffffff !important;\n              color: #ffffff !important;\n              border-color: #2A2A2A !important;\n            }\n\n            .darkmode-4 {\n              background-color: #1B1B35 !important;\n              font-color: #CECECE !important;\n              color: #CECECE !important;\n              border-color: #2A2A2A !important;\n            }\n\n            .darkmode-5 {\n              background-color: #1A1A3D !important;\n              font-color: #ffffff !important;\n              color: #ffffff !important;\n              border-color: #2A2A2A !important;\n            }\n\n            .darkmode-6 {\n              background-color: #1F1F4A !important;\n              font-color: #ffffff !important;\n              color: #ffffff !important;\n              border-color: #2A2A2A !important;\n            }\n\n            a[href] {\n              color: #8585F6 !important;\n            }\n\n            a.darkmode-button-color-primary[href] {\n              font-color: #000091 !important;\n              color: #000091 !important;\n            }\n\n            .darkmode-button-primary {\n              background-color: #8585F6 !important;\n              font-color: #000091 !important;\n              color: #000091 !important;\n              border: solid 1px #8585F6 !important;\n            }\n\n            .darkmode-button-secondary {\n              background-color: #1E1E1E !important;\n              font-color: #8585F6 !important;\n              color: #8585F6 !important;\n              border: solid 1px #8585F6 !important;\n            }\n\n            .darkmode-button-tertiary {\n              background-color: transparent !important;\n              font-color: #8585F6 !important;\n              color: #8585F6 !important;\n              border: solid 1px #353535 !important;\n            }\n\n            .darkmode-button-color-primary {\n              font-color: #000091 !important;\n              color: #000091 !important;\n            }\n\n            .darkmode-button-color-secondary {\n              font-color: #8585F6 !important;\n              color: #8585F6 !important;\n            }\n\n            .darkmode-button-color-tertiary {\n              font-color: #8585F6 !important;\n              color: #8585F6 !important;\n            }\n\n            .darkmode-img img {\n              display: none !important;\n            }\n\n            .invert-img img {\n              -webkit-filter: invert(100%);\n              filter: invert(100%);\n            }\n\n            /* Custom Dark Mode Font Colors\n      h1, h2, p, span, a, b {\n          color: #ffffff !important;\n      }*/\n            /* Custom Dark Mode Text Link Color */\n            .link {\n              color: #8585F6 !important;\n            }\n\n            /* Custom Dark Mode Background Color */\n            [data-ogsc] .darkmode {\n              background-color: #161616 !important;\n            }\n\n            /* Custom Dark Mode Font Colors */\n            [data-ogsc] h1,\n            [data-ogsc] h2,\n            [data-ogsc] p,\n            [data-ogsc] span,\n            [data-ogsc] a,\n            [data-ogsc] b {\n              color: #ffffff !important;\n            }\n\n            /* Custom Dark Mode Text Link Color */\n            [data-ogsc] .link {\n              color: #7C7CFF !important;\n            }\n          }\n\n          body {\n            width: 100%;\n            background-color: #ffffff;\n            margin: 0;\n            padding: 0;\n            -webkit-text-size-adjust: none;\n            -webkit-font-smoothing: antialiased;\n            -ms-text-size-adjust: none;\n            mso-margin-top-alt: 0px;\n            mso-margin-bottom-alt: 0px;\n            mso-padding-alt: 0px 0px 0px 0px;\n          }\n\n          svg {\n            fill: #000000;\n          }\n\n          .white {\n            fill: #000000 !important;\n          }\n\n          html {\n            width: 100%;\n          }\n\n          a[href] {\n            color: #000091;\n          }\n\n          table {\n            border-collapse: collapse;\n          }\n\n          table,\n          td {\n            border-collapse: collapse;\n            padding: 0px;\n            margin: 0px;\n          }\n\n          table.wlkm-mw {\n            min-width: 0px !important;\n          }\n\n          @media only screen and (max-width: 600px) {\n            .wlkm-mw {\n              width: 480px !important;\n              padding-left: 0 !important;\n              padding-right: 0 !important\n            }\n\n            .wlkm-cl {\n              width: 460px !important;\n            }\n\n            .wlkm-hAuto {\n              height: auto !important;\n            }\n\n            .wlkm-mw {\n              width: 480px !important;\n              padding-left: 0 !important;\n              padding-right: 0 !important\n            }\n\n            .wlkm-resp {\n              width: auto !important;\n              max-width: 460px !important;\n            }\n\n            .wlkm-resp2 {\n              width: auto !important;\n              max-width: 480px !important;\n            }\n\n            .wlkm-hide {\n              display: none !important;\n            }\n\n            .wlkm-alignCenter {\n              display: block !important;\n              text-align: center !important;\n            }\n\n            .wlkm-alignCenter img {\n              margin: 0 auto;\n            }\n\n            .wlkm-pLeft {\n              padding-right: 10px !important;\n            }\n\n            .wlkm-pRight {\n              padding-left: 10px !important;\n            }\n\n            .wlkm-demicl {\n              width: 220px !important;\n            }\n\n            .wlkm-demiResp {\n              width: auto !important;\n              max-width: 220px !important;\n            }\n\n            .img-max {\n              width: 460px !important;\n            }\n          }\n\n          @media only screen and (max-width: 480px) {\n            .wlkm-cl {\n              width: 90% !important;\n              margin: 0 auto;\n            }\n\n            .wlkm-resp {\n              max-width: 280px !important;\n            }\n\n            .img-max {\n              width: 90% !important;\n              margin: 0 auto;\n            }\n\n            .wlkm-resp2 {\n              max-width: 300px !important;\n            }\n\n            .wlkm-mw {\n              width: 100% !important;\n              margin: 0 auto;\n            }\n\n            .wlkm-demicl {\n              width: 280px !important;\n            }\n\n            .wlkm-demiResp {\n              max-width: 280px !important;\n            }\n          }\n    </style>\n  </head>\n\n  <body style=\"font-family: Tahoma, Geneva, sans-serif;\">\n    <table\n      style=\"min-width:100%!important; width:100%;\"\n      width=\"100%\"\n      cellspacing=\"0\"\n      cellpadding=\"0\"\n      role=\"presentation\"\n      border=\"0\"\n      bgcolor=\"#ffffff\"\n      class=\"wlkm-mw darkmode\"\n    >\n      <tr>\n        <td align=\"center\" class=\"darkmode\">\n          <table\n            style=\"min-width:600px; margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt; width:600px;\"\n            class=\"wlkm-mw darkmode\"\n            width=\"600\"\n            cellspacing=\"0\"\n            cellpadding=\"0\"\n            role=\"presentation\"\n            border=\"0\"\n            bgcolor=\"#ffffff\"\n            align=\"center\"\n          >\n            <tr>\n              <td class=\"darkmode\">\n                <table\n                  style=\"margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:496px;\"\n                  class=\"wlkm-cl darkmode\"\n                  width=\"496\"\n                  cellspacing=\"0\"\n                  cellpadding=\"0\"\n                  role=\"presentation\"\n                  border=\"0\"\n                  bgcolor=\"#ffffff\"\n                  align=\"center\"\n                >\n                  <tr>\n                    <td height=\"12\" style=\"height:12px; line-height:12px; font-size:12px;\">&nbsp;</td>\n                  </tr>\n                </table>\n                <table\n                  style=\"margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:496px;\"\n                  class=\"wlkm-cl darkmode\"\n                  width=\"496\"\n                  cellspacing=\"0\"\n                  cellpadding=\"0\"\n                  role=\"presentation\"\n                  border=\"0\"\n                  bgcolor=\"#ffffff\"\n                  align=\"center\"\n                >\n                  <tr>\n                    <td\n                      class=\"darkmode-1\"\n                      width=\"496\"\n                      align=\"left\"\n                      valign=\"top\"\n                      style=\"padding:4px 0px 0px 0px;line-height: 18px;font-size: 12px;color: #6b6b6b; font-family: 'Marianne', Arial, Helvetica, sans-serif;\"\n                    >\n                      <span style=\"font-family: 'Marianne', Arial, Helvetica, sans-serif !important;\"></span>\n                    </td>\n                  </tr>\n                </table>\n              </td>\n            </tr>\n          </table>\n        </td>\n      </tr>\n    </table>\n    <table\n      width=\"100%\"\n      border=\"0\"\n      align=\"center\"\n      cellpadding=\"0\"\n      cellspacing=\"0\"\n      bgcolor=\"#ffffff\"\n      class=\"darkmode\"\n      style=\"min-width:100%!important;width:100%;\"\n      role=\"presentation\"\n      data-filtertype=\"En-tête,logo\"\n    >\n      <tr>\n        <td align=\"center\">\n          <table\n            style=\"min-width:620px;margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;\"\n            width=\"620\"\n            cellspacing=\"0\"\n            cellpadding=\"0\"\n            role=\"presentation\"\n            border=\"0\"\n            align=\"center\"\n            class=\"wlkm-mw darkmode\"\n          >\n            <tr>\n              <td align=\"center\">\n                <table\n                  style=\"min-width:600px;margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:600px;border-left:1px #e5e5e5 solid; border-right:1px #e5e5e5 solid; border-top:1px #e5e5e5 solid;\"\n                  class=\"wlkm-mw darkmode\"\n                  width=\"600\"\n                  cellspacing=\"0\"\n                  cellpadding=\"0\"\n                  role=\"presentation\"\n                  border=\"0\"\n                  bgcolor=\"#ffffff\"\n                  align=\"center\"\n                >\n                  <tr>\n                    <td>\n                      <table\n                        style=\"margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:496px;\"\n                        class=\"wlkm-cl darkmode\"\n                        width=\"496\"\n                        cellspacing=\"0\"\n                        cellpadding=\"0\"\n                        role=\"presentation\"\n                        border=\"0\"\n                        bgcolor=\"#ffffff\"\n                        align=\"center\"\n                      >\n                        <tr>\n                          <td height=\"12\" style=\"height:12px;line-height: 12px; font-size: 12px\">&nbsp;</td>\n                        </tr>\n                      </table>\n                    </td>\n                  </tr>\n                </table>\n                <table\n                  style=\"min-width:600px;margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:600px;border-left:1px #e5e5e5 solid; border-right:1px #e5e5e5 solid;\"\n                  class=\"wlkm-mw darkmode\"\n                  width=\"600\"\n                  cellspacing=\"0\"\n                  cellpadding=\"0\"\n                  role=\"presentation\"\n                  border=\"0\"\n                  bgcolor=\"#ffffff\"\n                  align=\"center\"\n                >\n                  <tr>\n                    <td style=\"padding:0px 0px 20px 0px;\">\n                      <table\n                        style=\"margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:496px;\"\n                        class=\"wlkm-cl darkmode\"\n                        width=\"496\"\n                        cellspacing=\"0\"\n                        cellpadding=\"0\"\n                        role=\"presentation\"\n                        border=\"0\"\n                        bgcolor=\"#ffffff\"\n                        align=\"center\"\n                      >\n                        <tr>\n                          <td style=\"width:100%;\" width=\"100%\" valign=\"top\" align=\"center\">\n                            <table\n                              style=\"border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;\"\n                              width=\"70\"\n                              cellspacing=\"0\"\n                              cellpadding=\"0\"\n                              role=\"presentation\"\n                              border=\"0\"\n                              align=\"left\"\n                              bgcolor=\"#ffffff\"\n                              class=\"darkmode\"\n                            >\n                              <tr>\n                                <td align=\"center\">\n                                  <table\n                                    style=\"border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;\"\n                                    width=\"100%\"\n                                    cellspacing=\"0\"\n                                    cellpadding=\"0\"\n                                    role=\"presentation\"\n                                    border=\"0\"\n                                    align=\"left\"\n                                    bgcolor=\"#ffffff\"\n                                    class=\"darkmode\"\n                                  >\n                                    <tr>\n                                      <td height=\"12\" style=\"line-height:12px; font-size:12px; height:12px;\">&nbsp;</td>\n                                    </tr>\n                                    <tr>\n                                      <td class=\"hide-black\" align=\"left\">\n                                        <img\n                                          src={static_url(TransportWeb.Endpoint, \"/images/Marianne-Light@2x.png\")}\n                                          alt=\"République française\"\n                                          style=\"display: Block;  height:auto; width: 76px;\"\n                                          width=\"76\"\n                                          border=\"0\"\n                                          class=\"hide-black\"\n                                        />\n                                      </td>\n                                    </tr>\n                                    <tr>\n                                      <td class=\"hide-white\" align=\"left\" valign=\"bottom\">\n                                        <img\n                                          src={static_url(TransportWeb.Endpoint, \"/images/Marianne-Dark@2x.png\")}\n                                          alt=\"République française\"\n                                          width=\"76\"\n                                          class=\"hide-white\"\n                                          style=\"display: Block; height:auto; width: 76px;\"\n                                          border=\"0\"\n                                        />\n                                      </td>\n                                    </tr>\n                                    <tr>\n                                      <td height=\"12\" style=\"line-height:12px; font-size:12px; height:12px;\">&nbsp;</td>\n                                    </tr>\n                                  </table>\n                                </td>\n                              </tr>\n                            </table>\n                            <table\n                              style=\"border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;\"\n                              width=\"130\"\n                              cellspacing=\"0\"\n                              cellpadding=\"0\"\n                              role=\"presentation\"\n                              border=\"0\"\n                              align=\"right\"\n                              bgcolor=\"#ffffff\"\n                              class=\"darkmode\"\n                            >\n                              <tr>\n                                <td align=\"center\">\n                                  <table\n                                    style=\"border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;\"\n                                    width=\"100%\"\n                                    cellspacing=\"0\"\n                                    cellpadding=\"0\"\n                                    role=\"presentation\"\n                                    border=\"0\"\n                                    align=\"center\"\n                                    bgcolor=\"#ffffff\"\n                                    class=\"darkmode\"\n                                  >\n                                    <tr>\n                                      <td>&nbsp;</td>\n                                    </tr>\n                                    <tr>\n                                      <td\n                                        class=\"darkmode\"\n                                        style=\"line-height: 20px;font-size: 12px;color: #161616; font-family: Marianne, Arial, Helvetica, sans-serif;\"\n                                        align=\"right\"\n                                      >\n                                        <span style=\"font-family: 'Marianne', Arial, Helvetica, sans-serif !important;\">\n                                          <strong>transport.data.gouv.fr</strong>\n                                        </span>\n                                      </td>\n                                    </tr>\n                                    <tr>\n                                      <td>&nbsp;</td>\n                                    </tr>\n                                  </table>\n                                </td>\n                              </tr>\n                            </table>\n                          </td>\n                        </tr>\n                      </table>\n                    </td>\n                  </tr>\n                </table>\n              </td>\n            </tr>\n          </table>\n        </td>\n      </tr>\n    </table>\n\n    <table\n      style=\"min-width:100%!important;width:100%;\"\n      width=\"100%\"\n      cellspacing=\"0\"\n      cellpadding=\"0\"\n      role=\"presentation\"\n      border=\"0\"\n      bgcolor=\"#ffffff\"\n      class=\"darkmode\"\n    >\n      <tbody>\n        <tr>\n          <td align=\"center\">\n            <table\n              style=\"min-width:620px;margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt; background:linear-gradient(90deg, rgba(255,255,255,1) 0%, rgba(234,234,234,1) 5%, rgba(234,234,234,1) 95%, rgba(255,255,255,1) 100%);\"\n              width=\"620\"\n              cellspacing=\"0\"\n              cellpadding=\"0\"\n              role=\"presentation\"\n              border=\"0\"\n              align=\"center\"\n              class=\"wlkm-mw darkmode\"\n            >\n              <tbody>\n                <tr>\n                  <td align=\"center\">\n                    <table\n                      style=\"min-width:600px;margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:600px;border-left:1px #e5e5e5 solid; border-right:1px #e5e5e5 solid;\"\n                      class=\"wlkm-mw darkmode-3\"\n                      width=\"600\"\n                      cellspacing=\"0\"\n                      cellpadding=\"0\"\n                      role=\"presentation\"\n                      border=\"0\"\n                      bgcolor=\"#ffffff\"\n                      align=\"center\"\n                    >\n                      <tbody>\n                        <tr>\n                          <td>\n                            <table\n                              style=\"margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:496px;\"\n                              class=\"wlkm-cl darkmode\"\n                              width=\"496\"\n                              cellspacing=\"0\"\n                              cellpadding=\"0\"\n                              role=\"presentation\"\n                              border=\"0\"\n                              bgcolor=\"#ffffff\"\n                              align=\"center\"\n                            >\n                              <tbody>\n                                <tr>\n                                  <td\n                                    class=\"darkmode-1\"\n                                    width=\"496\"\n                                    align=\"left\"\n                                    valign=\"top\"\n                                    style=\"padding:0px 10px 20px 10px;line-height: 21px;font-size: 14px;color: #3A3A3A; font-family: 'Marianne', Arial, Helvetica, sans-serif;\"\n                                  >\n                                    {@inner_content}\n                                  </td>\n                                </tr>\n                              </tbody>\n                            </table>\n                          </td>\n                        </tr>\n                      </tbody>\n                    </table>\n                  </td>\n                </tr>\n              </tbody>\n            </table>\n          </td>\n        </tr>\n      </tbody>\n    </table>\n\n    <table\n      width=\"100%\"\n      border=\"0\"\n      align=\"center\"\n      cellpadding=\"0\"\n      cellspacing=\"0\"\n      bgcolor=\"#ffffff\"\n      class=\"darkmode\"\n      style=\"min-width:100%!important;width:100%;\"\n      role=\"presentation\"\n      data-filtertype=\"En-tête,logo\"\n    >\n      <tbody>\n        <tr>\n          <td align=\"center\">\n            <table\n              style=\"min-width:620px;margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt; background:linear-gradient(90deg, rgba(255,255,255,1) 0%, rgba(234,234,234,1) 5%, rgba(234,234,234,1) 95%, rgba(255,255,255,1) 100%);\"\n              width=\"620\"\n              cellspacing=\"0\"\n              cellpadding=\"0\"\n              role=\"presentation\"\n              border=\"0\"\n              align=\"center\"\n              class=\"wlkm-mw darkmode\"\n            >\n              <tbody>\n                <tr>\n                  <td align=\"center\">\n                    <table\n                      style=\"min-width:600px;margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:600px;border-left:1px #e5e5e5 solid; border-right:1px #e5e5e5 solid; border-bottom:1px #e5e5e5 solid;\"\n                      class=\"wlkm-mw darkmode\"\n                      width=\"600\"\n                      cellspacing=\"0\"\n                      cellpadding=\"0\"\n                      role=\"presentation\"\n                      border=\"0\"\n                      bgcolor=\"#ffffff\"\n                      align=\"center\"\n                    >\n                      <tbody>\n                        <tr>\n                          <td style=\"padding:0px 0px 20px 0px;\">\n                            <table\n                              style=\"margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:496px;\"\n                              class=\"wlkm-cl darkmode\"\n                              width=\"496\"\n                              cellspacing=\"0\"\n                              cellpadding=\"0\"\n                              role=\"presentation\"\n                              border=\"0\"\n                              bgcolor=\"#ffffff\"\n                              align=\"center\"\n                            >\n                              <tbody>\n                                <tr>\n                                  <td>&nbsp;</td>\n                                </tr>\n                                <tr>\n                                  <td\n                                    class=\"darkmode-1\"\n                                    align=\"left\"\n                                    valign=\"middle\"\n                                    style=\"line-height: 24px; font-size: 12px; color: #6b6b6b; font-family: 'Marianne', Arial, Helvetica, sans-serif; padding:0px 10px 0px 10px;\"\n                                  >\n                                    Vous recevez ce message car vous participez à transport.data.gouv.fr.\n                                  </td>\n                                </tr>\n                                <tr>\n                                  <td>&nbsp;</td>\n                                </tr>\n                                <tr>\n                                  <td>\n                                    <table\n                                      style=\"margin:0 auto; border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;width:496px; border-top:1px #e5e5e5 solid;\"\n                                      class=\"wlkm-cl darkmode\"\n                                      width=\"496\"\n                                      cellspacing=\"0\"\n                                      cellpadding=\"0\"\n                                      role=\"presentation\"\n                                      border=\"0\"\n                                      bgcolor=\"#ffffff\"\n                                      align=\"center\"\n                                    >\n                                      <tbody>\n                                        <tr>\n                                          <td style=\"width:100%;\" width=\"100%\" valign=\"top\" align=\"center\">\n                                            <table\n                                              style=\"border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;\"\n                                              width=\"70\"\n                                              cellspacing=\"0\"\n                                              cellpadding=\"0\"\n                                              role=\"presentation\"\n                                              border=\"0\"\n                                              align=\"left\"\n                                              bgcolor=\"#ffffff\"\n                                              class=\"darkmode\"\n                                            >\n                                              <tbody>\n                                                <tr>\n                                                  <td align=\"center\">\n                                                    <table\n                                                      style=\"border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;\"\n                                                      width=\"100%\"\n                                                      cellspacing=\"0\"\n                                                      cellpadding=\"0\"\n                                                      role=\"presentation\"\n                                                      border=\"0\"\n                                                      align=\"left\"\n                                                      bgcolor=\"#ffffff\"\n                                                      class=\"darkmode\"\n                                                    >\n                                                      <tbody>\n                                                        <tr>\n                                                          <td\n                                                            height=\"12\"\n                                                            style=\"line-height:12px; font-size:12px; height:12px;\"\n                                                          >\n                                                            &nbsp;\n                                                          </td>\n                                                        </tr>\n                                                        <tr>\n                                                          <td class=\"hide-black\" align=\"left\">\n                                                            <img\n                                                              src={\n                                                                static_url(\n                                                                  TransportWeb.Endpoint,\n                                                                  \"/images/Marianne-Light@2x.png\"\n                                                                )\n                                                              }\n                                                              alt=\"République française\"\n                                                              style=\"display: Block; height: auto; width:76px\"\n                                                              width=\"76\"\n                                                              border=\"0\"\n                                                              class=\"hide-black\"\n                                                            />\n                                                          </td>\n                                                        </tr>\n                                                        <tr>\n                                                          <td class=\"hide-white\" align=\"left\" valign=\"bottom\">\n                                                            <img\n                                                              src={\n                                                                static_url(\n                                                                  TransportWeb.Endpoint,\n                                                                  \"/images/Marianne-Dark@2x.png\"\n                                                                )\n                                                              }\n                                                              alt=\"République française\"\n                                                              width=\"76\"\n                                                              class=\"hide-white\"\n                                                              style=\"display: Block; height:auto; width:76px\"\n                                                              border=\"0\"\n                                                            />\n                                                          </td>\n                                                        </tr>\n                                                        <tr>\n                                                          <td\n                                                            height=\"12\"\n                                                            style=\"line-height:12px; font-size:12px; height:12px;\"\n                                                          >\n                                                            &nbsp;\n                                                          </td>\n                                                        </tr>\n                                                      </tbody>\n                                                    </table>\n                                                  </td>\n                                                </tr>\n                                              </tbody>\n                                            </table>\n                                            <table\n                                              style=\"border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;\"\n                                              width=\"130\"\n                                              cellspacing=\"0\"\n                                              cellpadding=\"0\"\n                                              role=\"presentation\"\n                                              border=\"0\"\n                                              align=\"right\"\n                                              bgcolor=\"#ffffff\"\n                                              class=\"darkmode\"\n                                            >\n                                              <tbody>\n                                                <tr>\n                                                  <td align=\"center\">\n                                                    <table\n                                                      style=\"border-collapse:collapse; mso-table-lspace:0pt; mso-table-rspace:0pt;\"\n                                                      width=\"100%\"\n                                                      cellspacing=\"0\"\n                                                      cellpadding=\"0\"\n                                                      role=\"presentation\"\n                                                      border=\"0\"\n                                                      align=\"center\"\n                                                      bgcolor=\"#ffffff\"\n                                                      class=\"darkmode\"\n                                                    >\n                                                      <tbody>\n                                                        <tr>\n                                                          <td>&nbsp;</td>\n                                                        </tr>\n                                                        <tr>\n                                                          <td\n                                                            class=\"darkmode\"\n                                                            style=\"line-height: 20px;font-size: 12px;color: #161616; font-family: Marianne, Arial, Helvetica, sans-serif;\"\n                                                            align=\"right\"\n                                                          >\n                                                            <span style=\"font-family: 'Marianne', Arial, Helvetica, sans-serif !important;\">\n                                                              <strong>transport.data.gouv.fr</strong>\n                                                            </span>\n                                                          </td>\n                                                        </tr>\n                                                        <tr>\n                                                          <td>&nbsp;</td>\n                                                        </tr>\n                                                      </tbody>\n                                                    </table>\n                                                  </td>\n                                                </tr>\n                                              </tbody>\n                                            </table>\n                                          </td>\n                                        </tr>\n                                      </tbody>\n                                    </table>\n                                  </td>\n                                </tr>\n                              </tbody>\n                            </table>\n                          </td>\n                        </tr>\n                        <tr>\n                          <td height=\"12\" style=\"height:12px;line-height: 12px; font-size: 12px\">&nbsp;</td>\n                        </tr>\n                      </tbody>\n                    </table>\n                  </td>\n                </tr>\n              </tbody>\n            </table>\n          </td>\n        </tr>\n      </tbody>\n    </table>\n  </body>\n</html>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/page/_home_autocomplete.html.heex",
    "content": "<script nonce={@conn.assigns[:csp_nonce_value]}>\n  const contactId = <%= get_in(@conn.assigns.current_contact.id) |> Jason.encode!() %>;\n  const labels = <%= TransportWeb.PageView.autocomplete_translations() |> Jason.encode!() |> raw() %>;\n</script>\n<style nonce={@conn.assigns[:csp_nonce_value]}>\n  #autoComplete_list li:nth-of-type(2)::before {\n    content: '<%= autocomplete_translations() |> Map.fetch!(\"results-description\") %>';\n  }\n</style>\n<script src={static_path(@conn, \"/js/autocomplete.js\")}>\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/page/accessibility.html.md",
    "content": "<%= raw ~s(<div lang=fr>) %>\n\nLe Ministère de l’Aménagement du Territoire et de la Décentralisation s’engage à rendre ses sites web, intranet, extranet et ses progiciels accessibles (et ses applications mobiles et mobilier urbain numérique) conformément à l’article 47 de la loi n°2005-102 du 11 février 2005.\n\nÀ cette fin, elle met en œuvre la stratégie et les actions suivantes :\n- Fournir un site web accessible ;\n- Avoir une communication par courriels et sur les réseaux sociaux accessible ;\n- Prêter attention aux informations d'accessibilité pour les données de mobilité.\n\nCette déclaration d’accessibilité s’applique à [transport.data.gouv.fr](https://transport.data.gouv.fr).\n\n## État de conformité\ntransport.data.gouv.fr est non conforme avec le référentiel général d’amélioration de l’accessibilité (RGAA), un audit d'accessibilité n'ayant pas encore été réalisé.\n\nL'absence d'audit d'accessibilité ne remet pas en cause le caractère accessible du site web actuel.\n\n## Établissement de cette déclaration d’accessibilité\nCette déclaration a été établie le 02/03/2022.\n\n## Retour d'information et contact\nSi vous n’arrivez pas à accéder à un contenu ou à un service, vous pouvez contacter la personne responsable du site pour être orienté vers une alternative accessible ou obtenir le contenu sous une autre forme.\n\n## Voies de recours\nSi vous constatez un défaut d’accessibilité vous empêchant d’accéder à un contenu ou une fonctionnalité du site, que vous nous le signalez et que vous ne parvenez pas à obtenir une réponse de notre part, vous êtes en droit de faire parvenir vos doléances ou une demande de saisine au Défenseur des droits.\n\nPlusieurs moyens sont à votre disposition :\n\n- [Écrire un message au Défenseur des droits](https://formulaire.defenseurdesdroits.fr/)\n- [Contacter le délégué du Défenseur des droits dans votre région](https://www.defenseurdesdroits.fr/saisir/delegues)\n- Envoyer un courrier par la poste (gratuit, ne pas mettre de timbre)\nDéfenseur des droits,\nLibre réponse 71120,\n75342 Paris CEDEX 07\n<%= raw ~s(</div>) %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/page/index.html.heex",
    "content": "<div class=\"hero home-hero\">\n  <div class=\"hero__container\">\n    <div class=\"home-top-content\">\n      <div class=\"home-title\">\n        <h1>{dgettext(\"page-index\", \"title\")}</h1>\n        <h2>{dgettext(\"page-index\", \"subtitle\")}</h2>\n        <a href={espace_producteur_path(@conn, :espace_producteur, utm_campaign: \"home_button\")} class=\"button\">\n          {dgettext(\"page-index\", \"Producer space\")}\n        </a>\n        <a\n          href={reuser_space_path(@conn, :espace_reutilisateur, utm_campaign: \"home_button\")}\n          class=\"button reuser-space\"\n        >\n          {dgettext(\"page-index\", \"Reuser space\")}\n        </a>\n      </div>\n      <div class=\"home-search\">\n        <div class=\"searchBar\">\n          <%= form_for @conn, dataset_path(@conn, :index), [method: \"get\"], fn f -> %>\n            <h4>{dgettext(\"page-index\", \"Search for data for a region, a city, a network…\")}</h4>\n            <div class=\"pt-12\">\n              {search_input(f, :q,\n                id: \"autoComplete\",\n                tabindex: 1,\n                autocomplete: \"off\",\n                placeholder: \"ex : Nouvelle-Aquitaine\",\n                \"aria-label\": dgettext(\"page-index\", \"Find dataset\")\n              )}\n            </div>\n            <div class=\"autoCompleteResultsField\">\n              <div id=\"autoCompleteResults\"></div>\n            </div>\n          <% end %>\n        </div>\n        <div class=\"pt-48\">\n          <h4>{dgettext(\"page-index\", \"You can also\")}</h4>\n          <div class=\"home-other-search-methods\">\n            <div class=\"search-method\">\n              <a href={live_path(@conn, TransportWeb.Live.OnDemandValidationSelectLive)}>\n                <img src={static_path(@conn, \"/images/icons/validate.svg\")} alt=\"Validation\" />\n                {dgettext(\"page-index\", \"Validate your data\")}\n              </a>\n            </div>\n            <div class=\"search-method\">\n              <a href=\"https://doc.transport.data.gouv.fr/outils/outils-disponibles-sur-le-pan/api\">\n                <img src={static_path(@conn, \"/images/icons/api.png\")} alt=\"API\" />\n                {dgettext(\"page-index\", \"Use our APIs\")}\n              </a>\n            </div>\n            <div class=\"search-method\">\n              <a href={dataset_path(@conn, :index, order_by: \"most_recent\")}>\n                <img src={static_path(@conn, \"/images/icons/recently-added-datasets.png\")} alt=\"Data\" />\n                {dgettext(\"page-index\", \"See newly added datasets\")}\n              </a>\n            </div>\n          </div>\n        </div>\n      </div>\n    </div>\n  </div>\n</div>\n<div id=\"chevron-hint\">\n  <a href=\"#pan-offer-descriptions\">\n    <span class=\"fa-stack fa-2x\">\n      <i class=\"fas fa-circle fa-stack-2x\"></i>\n      <i class=\"fas fa-chevron-down fa-stack-1x fa-inverse\"></i>\n    </span>\n  </a>\n</div>\n\n<section class=\"section section-grey\">\n  <div class=\"container\">\n    <div id=\"pan-offer-descriptions\">\n      <div class=\"pan-offer\">\n        {dgettext(\"page-index\", \"A freely accessible service\")}\n      </div>\n      <div class=\"pan-offer\">\n        {dgettext(\"page-index\", \"ALL French open mobility data at the same place\")}\n        <div class=\"pan-offer-subtitle pt-12\">\n          {dgettext(\"page-index\", \"Selected formats\")}\n        </div>\n        <div class=\"pan-offer-subtitle\">\n          {dgettext(\"page-index\", \"Selected licences\")}\n        </div>\n      </div>\n      <div class=\"pan-offer\">\n        {dgettext(\"page-index\", \"Online tools to ease data reuses\")}\n      </div>\n    </div>\n    <p class=\"text-center\">\n      <a href={page_path(@conn, :missions)}>{dgettext(\"page-index\", \"Learn more about our missions\")}</a>\n    </p>\n\n    <div class=\"existing pt-48\" id=\"datasets\">\n      <h1>{dgettext(\"page-index\", \"Available data by theme\")}</h1>\n      <div class=\"available-data grid\">\n        <%= for tile <- current_tiles(@tiles) do %>\n          <a class=\"tile\" href={tile.link}>\n            <img class=\"tile__icon\" src={tile.icon} alt=\"\" />\n            <div class=\"tile__text\">\n              <h4 class=\"\">{tile.title}</h4>\n              <div>{dngettext(\"page-index\", \"dataset\", \"datasets\", tile.count)}</div>\n            </div>\n          </a>\n        <% end %>\n      </div>\n    </div>\n  </div>\n</section>\n<section class=\"section section\" id=\"territory\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"section__description\">\n        <h2>{dgettext(\"page-index\", \"Territory coverage\")}</h2>\n        <p>{dgettext(\"page-index\", \"Scheduled public transit\")}</p>\n        <div class=\"row key-numbers\">\n          <div class=\"key-number__item\">\n            <strong>{format_number(@count_aoms_with_dataset, locale: get_session(@conn, :locale))}</strong>\n            <div>\n              {dgettext(\"page-index\", \"Territories covered\") |> raw()}\n              <br />\n              {dgettext(\"page-index\", \"out of\")} {format_number(@count_aoms,\n                locale: get_session(@conn, :locale)\n              )}\n            </div>\n          </div>\n          <div class=\"key-number__item\">\n            <strong>{@count_transport_offers}</strong>\n            <div>\n              {dgettext(\"page-index\", \"Transport offers available\")}\n            </div>\n          </div>\n          <div class=\"key-number__item\">\n            <strong>{@percent_population}%</strong>\n            <div>\n              {dgettext(\"page-index\", \"of the population\")}\n              <br />\n              {dgettext(\"page-index\", \"covered\")}\n            </div>\n          </div>\n        </div>\n      </div>\n      <div class=\"deployment-map\">\n        <a href={static_path(@conn, \"/stats\")} class=\"text-center\">\n          <img class=\"illustration\" src={static_path(@conn, \"/images/france.svg\")} alt=\"\" />\n          <div>{dgettext(\"page-index\", \"See more statistics\")}</div>\n        </a>\n      </div>\n    </div>\n  </div>\n</section>\n<section class=\"section section-grey\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"section__description\">\n        <h2>{dgettext(\"page-index\", \"Are you producing transport data ?\")}</h2>\n        <p>{dgettext(\"page-index\", \"producer description\") |> raw()}</p>\n        <div class=\"row\">\n          <a class=\"button\" href={page_path(@conn, :infos_producteurs)}>{gettext(\"Producer information\")}</a>\n        </div>\n      </div>\n      <img class=\"illustration\" src={static_path(@conn, \"/images/bus.svg\")} alt=\"\" />\n    </div>\n  </div>\n</section>\n<section class=\"section\">\n  <div class=\"container\">\n    <div class=\"row\">\n      <div class=\"section__description\">\n        <h2>{dgettext(\"page-index\", \"Who is reusing data from\")} transport.data.gouv.fr ?</h2>\n        <p>\n          {raw(dgettext(\"page-index\", \"reusers list description\", url: reuse_path(@conn, :index)))}\n          {link(dgettext(\"page-index\", \"Learn more\"),\n            to: \"https://doc.transport.data.gouv.fr/reutilisations-des-donnees/reutilisation-des-donnees\"\n          )}.\n        </p>\n        <div class=\"row\">\n          <a class=\"button reuser-space\" href={page_path(@conn, :infos_reutilisateurs)}>\n            {gettext(\"Reuser information\")}\n          </a>\n        </div>\n      </div>\n    </div>\n  </div>\n</section>\n<section class=\"section section-grey companies\">\n  <div class=\"container\">\n    <h2 class=\"text-center\">{dgettext(\"page-index\", \"They help us achieve our mission\")} 🙏‍</h2>\n    <div class=\"companies__logos\">\n      <%= for facilitator <- @facilitators do %>\n        {link(\n          img_tag(static_path(@conn, \"/images/logos/#{facilitator[\"image\"]}\"), alt: facilitator[\"name\"]),\n          to: facilitator[\"website\"]\n        )}\n      <% end %>\n    </div>\n    <% link_facilitators =\n      safe_to_string(\n        link(dgettext(\"page-index\", \"full list\"),\n          to: \"https://doc.transport.data.gouv.fr/notre-ecosysteme/les-facilitateurs\"\n        )\n      ) %>\n    <p class=\"text-center\">\n      {raw(dgettext(\"page-index\", \"facilitators list description, %{link}\", link: link_facilitators))}.\n    </p>\n  </div>\n</section>\n<section class=\"section mailing-list\" id=\"mailing-list\">\n  {render(\"join_the_community.html\", conn: @conn)}\n</section>\n{render(\"_home_autocomplete.html\", conn: @conn)}\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/page/infos_producteurs.html.heex",
    "content": "<div class=\"with-gradient\">\n  <div class=\"container producteurs-section\">\n    <section class=\"section producteurs-top\">\n      <div class=\"producteurs-title\">\n        <h1>\n          {dgettext(\"page-producteurs\", \"transport.data.gouv.fr help you publish your data\")}\n        </h1>\n      </div>\n      <%= if assigns[:current_user] do %>\n        <div class=\"panel-producteurs signed-in\">\n          <h2>{dgettext(\"page-producteurs\", \"Welcome!\")}</h2>\n          <a\n            class=\"button\"\n            href={espace_producteur_path(@conn, :espace_producteur, utm_campaign: \"producer_infos_page\")}\n          >\n            {dgettext(\"page-producteurs\", \"Access your producer section\")}\n          </a>\n          <div class=\"pt-24\">\n            {dgettext(\n              \"page-producteurs\",\n              \"transport.data.gouv.fr is affiliated with data.gouv.fr, the open platform for French public data\"\n            )}\n          </div>\n        </div>\n      <% else %>\n        <div class=\"panel-producteurs\">\n          <h2>{dgettext(\"page-producteurs\", \"Access your producer section\")}</h2>\n          <div>\n            {dgettext(\n              \"page-producteurs\",\n              \"To log in, you will be redirected to data.gouv.fr, the open platform for French public data\"\n            )}\n          </div>\n          <a\n            class=\"button\"\n            href={page_path(@conn, :login, redirect_path: espace_producteur_path(@conn, :espace_producteur))}\n          >\n            {dgettext(\"page-dataset-details\", \"Log in\")}\n          </a>\n        </div>\n      <% end %>\n    </section>\n    <section class=\"section producteurs-content\">\n      <div class=\"producteurs-presentation\">\n        <div class=\"panel\">\n          <div class=\"presentation-description\">\n            <div class=\"presentation-icon\">\n              <i class=\"fa fa-lightbulb\"></i>\n            </div>\n            <h2>{dgettext(\"page-producteurs\", \"Read our guidelines\")}</h2>\n            <div>\n              {dgettext(\n                \"page-producteurs\",\n                \"Help users find and use your data by following our publications guidelines.\"\n              )}\n            </div>\n          </div>\n          <div class=\"presentation-action pt-24\">\n            <a href=\"https://doc.transport.data.gouv.fr/administration-des-donnees\" class=\"button-outline primary\">\n              {dgettext(\"page-producteurs\", \"Data publishing guidelines\")}\n            </a>\n          </div>\n        </div>\n        <div class=\"panel\">\n          <div class=\"presentation-description\">\n            <div class=\"presentation-icon\">\n              <i class=\"fa fa-tools\"></i>\n            </div>\n            <h2>\n              {dgettext(\"page-producteurs\", \"Online validation tools\")}\n            </h2>\n            <div>\n              {dgettext(\n                \"page-producteurs\",\n                \"Users want quality data. Validate online GTFS files, GBFS feeds or any data following French national schemas.\"\n              )}\n            </div>\n          </div>\n          <div class=\"presentation-action pt-24\">\n            <a href={live_path(@conn, TransportWeb.Live.OnDemandValidationSelectLive)} class=\"button-outline primary\">\n              {dgettext(\"page-producteurs\", \"Validate a file or a feed\")}\n            </a>\n          </div>\n        </div>\n        <div class=\"panel\">\n          <div class=\"presentation-description\">\n            <div class=\"presentation-icon\">\n              <i class=\"fa fa-users\"></i>\n            </div>\n            <h2>\n              {dgettext(\"page-producteurs\", \"Contact us\")}\n            </h2>\n            <div>\n              {dgettext(\"page-producteurs\", \"If you any question, send us an email and we'll be glad to help you!\")}\n            </div>\n          </div>\n        </div>\n      </div>\n    </section>\n  </div>\n</div>\n<div class=\"tgv\">\n  <img src={static_path(@conn, \"/images/producteurs/tgv.svg\")} alt=\"\" />\n</div>\n<section class=\"section section-grey section-why\">\n  <div class=\"container producteurs-section is-centered\">\n    <h1>{dgettext(\"page-producteurs\", \"Why should you publish your data?\")}</h1>\n    <div class=\"section-why-body pt-24\">\n      <div class=\"panel mb-24\">\n        <div class=\"why-section-picto\">\n          <img\n            src={static_path(@conn, \"/images/producteurs/streamline-icon-judicial-document@140x140.png\")}\n            alt=\"balance de la loi\"\n          />\n        </div>\n        <div class=\"why-section-text\">\n          <h2>{dgettext(\"page-producteurs\", \"Regulatory obligations\")}</h2>\n          <div>\n            {dgettext(\n              \"page-producteurs\",\n              \"Whether you are Autorité organisatrice de mobilité, délégataire de service public, or collectivité territoriale, you may be concerned by the laws loi pour une république numérique, la Loi Orientation des Mobilités and the european reglementation.\"\n            )}\n          </div>\n          <div class=\"pt-12\">\n            <a href=\"https://doc.transport.data.gouv.fr/le-point-d-acces-national/cadre-juridique\">\n              {dgettext(\"page-producteurs\", \"Read here a summary of those obligations\")}\n            </a>\n          </div>\n        </div>\n      </div>\n      <div class=\"panel\">\n        <div class=\"why-section-picto\">\n          <img\n            src={static_path(@conn, \"/images/producteurs/streamline-icon-people-in-love-3@140x140.png\")}\n            alt=\"balance de la loi\"\n          />\n        </div>\n        <div class=\"why-section-text\">\n          <h2>\n            {dgettext(\"page-producteurs\", \"For the users\")}\n          </h2>\n          <div>\n            {dgettext(\n              \"page-producteurs\",\n              \"A number of administrations, companies and assocations use the French National Access Point to find mobility open-data in France.\"\n            )}\n          </div>\n          <div class=\"pt-12\">\n            {dgettext(\n              \"page-producteurs\",\n              \"Our reusers create applications allowing people to better use the mobility resources available around them.\"\n            )}\n          </div>\n        </div>\n      </div>\n    </div>\n  </div>\n</section>\n<section class=\"section\">\n  {render(\"join_the_community.html\", conn: @conn)}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/page/infos_reutilisateurs.html.heex",
    "content": "<%!--\nThis page uses `producteurs-*` CSS classes because it has the\nsame layout than `infos_producteurs`.\n\nThese CSS classes may be removed (soon?) when switching to the DSFR.\n--%>\n<div class=\"with-gradient\">\n  <div class=\"container producteurs-section\">\n    <section class=\"section producteurs-top\">\n      <div class=\"producteurs-title\">\n        <h1>\n          {dgettext(\"reuser-space\", \"transport.data.gouv.fr helps you follow the data you reuse\")}\n        </h1>\n      </div>\n      <%= if assigns[:current_user] do %>\n        <div class=\"panel-producteurs signed-in\">\n          <h2>{dgettext(\"reuser-space\", \"Welcome!\")}</h2>\n          <a class=\"button\" href={reuser_space_path(@conn, :espace_reutilisateur, utm_campaign: \"reuser_infos_page\")}>\n            {dgettext(\"reuser-space\", \"Access your reuser space\")}\n          </a>\n          <div class=\"pt-24\">\n            {dgettext(\n              \"reuser-space\",\n              \"transport.data.gouv.fr is affiliated with data.gouv.fr, the open platform for French public data\"\n            )}\n          </div>\n        </div>\n      <% else %>\n        <div class=\"panel-producteurs\">\n          <h2>{dgettext(\"reuser-space\", \"Access your reuser space\")}</h2>\n          <div>\n            {dgettext(\n              \"reuser-space\",\n              \"To log in, you will be redirected to data.gouv.fr, the open platform for French public data\"\n            )}\n          </div>\n          <a\n            class=\"button reuser-space\"\n            href={page_path(@conn, :login, redirect_path: reuser_space_path(@conn, :espace_reutilisateur))}\n          >\n            {dgettext(\"page-dataset-details\", \"Log in\")}\n          </a>\n        </div>\n      <% end %>\n    </section>\n    <section class=\"section producteurs-content\">\n      <div class=\"producteurs-presentation\">\n        <div class=\"panel\">\n          <div class=\"presentation-description\">\n            <div class=\"presentation-icon\">\n              <img\n                src={static_path(@conn, \"/images/reutilisateurs/picto-bell.svg\")}\n                alt={dgettext(\"reuser-space\", \"Notification bell\")}\n              />\n            </div>\n            <h2>{dgettext(\"reuser-space\", \"Set up notifications\")}</h2>\n            <div>\n              {dgettext(\"reuser-space\", \"Receive helpful notifications about your favorite datasets.\")}\n            </div>\n          </div>\n        </div>\n        <div class=\"panel\">\n          <div class=\"presentation-description\">\n            <div class=\"presentation-icon\">\n              <img\n                src={static_path(@conn, \"/images/reutilisateurs/reuses.svg\")}\n                alt={dgettext(\"reuser-space\", \"Reuses\")}\n              />\n            </div>\n            <h2>{dgettext(\"reuser-space\", \"Declare your reuses\")}</h2>\n            <div>\n              {dgettext(\"reuser-space\", \"Highlight your reuses and make yourself known.\")}\n            </div>\n          </div>\n        </div>\n        <div class=\"panel\">\n          <div class=\"presentation-description\">\n            <div class=\"presentation-icon\">\n              <img\n                src={static_path(@conn, \"/images/reutilisateurs/gear.svg\")}\n                alt={dgettext(\"reuser-space\", \"Settings\")}\n              />\n            </div>\n            <h2>{dgettext(\"reuser-space\", \"API - Manage your tokens\")}</h2>\n            <div>\n              {dgettext(\"reuser-space\", \"Create and manage your tokens independently.\")}\n            </div>\n          </div>\n        </div>\n      </div>\n    </section>\n  </div>\n</div>\n<div class=\"tgv\">\n  <img src={static_path(@conn, \"/images/producteurs/tgv.svg\")} alt=\"TGV\" />\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/page/join_the_community.html.heex",
    "content": "<div class=\"container producteurs-section is-centered\">\n  <h1>\n    {dgettext(\"page-producteurs\", \"Join the transport.data.gouv.fr community and stay informed!\")}\n  </h1>\n  <div class=\"producteurs-content producteurs-community pt-48\">\n    <div class=\"producteurs-community-child\">\n      <div>\n        <h2>{dgettext(\"page-producteurs\", \"Our social media accounts\")}</h2>\n        <a class=\"button-outline primary social-media-logo\" href=\"https://www.linkedin.com/company/transportdatagouvfr/\">\n          <img src={static_path(@conn, \"/images/linkedin.svg\")} alt=\"LinkedIn\" />\n        </a>\n      </div>\n      <div class=\"pt-48 pb-48\">\n        <h2>{dgettext(\"page-producteurs\", \"Our blog\")}</h2>\n        <div>\n          {dgettext(\"page-producteurs\", \"Read tutorials and users testimonies\")}\n        </div>\n        <div class=\"pt-12\">\n          <a class=\"button-outline primary\" href=\"https://blog.transport.data.gouv.fr\">\n            {dgettext(\"page-producteurs\", \"Go to transport.data.gouv.fr blog\")}\n          </a>\n        </div>\n      </div>\n    </div>\n    <div class=\"producteurs-community-child\">\n      <div>\n        <h2>{dgettext(\"page-producteurs\", \"The newsletter\")}</h2>\n        <div>\n          {dgettext(\n            \"page-producteurs\",\n            \"Stay informed of the National Access Point latest news and upcoming functionalities.\"\n          )}\n        </div>\n        <div class=\"pt-12\">\n          <a\n            href=\"https://17d46732.sibforms.com/serve/MUIFAMz3wF4mbcLgx4IAT946-xxZTK9eMPnASSQe2u4GU2gp7xBRDfw-eDolZEidAN6wiK62EPz5W2pm0ACn3V_YFekYhuxtgK5lfLK3BMUXazrd1qUcukGZXtbI8oFt_z6y3zPYjN7yjDzWuveGU-f1p6AfuhgaqhwAFDnlOFLZqwHnQL-Fcuwdr-9wYZpxpzraAHUuunSwe7VC\"\n            class=\"button primary\"\n            target=\"_blank\"\n          >\n            {dgettext(\"page-index\", \"Subscribe\")}\n          </a>\n        </div>\n      </div>\n    </div>\n  </div>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/page/login.html.heex",
    "content": "<section id=\"login\" class=\"section\">\n  <div class=\"container\">\n    <div class=\"panel\">\n      <h1>{dgettext(\"page-login\", \"Sign In with data.gouv.fr\")}</h1>\n\n      <ul class=\"list\">\n        <li class=\"list__item\">\n          <div class=\"list__item--icon\">\n            <i class=\"icon icon--cubes\" aria-hidden=\"true\"></i>\n          </div>\n\n          <div class=\"list__item--content\">\n            {dgettext(\"page-login\", \"data.gouv.fr is the open platform for French public data\")}\n          </div>\n        </li>\n\n        <li class=\"list__item\">\n          <div class=\"list__item--icon\">\n            <i class=\"icon icon--badge\" aria-hidden=\"true\"></i>\n          </div>\n\n          <div class=\"list__item--content\">\n            {dgettext(\n              \"page-login\",\n              \"transport.data.gouv.fr belongs to the data.gouv.fr network, and share the same user account\"\n            )}\n          </div>\n        </li>\n\n        <li class=\"list__item\">\n          <div class=\"list__item--icon\">\n            <i class=\"icon icon--hand-up\" aria-hidden=\"true\"></i>\n          </div>\n\n          <div class=\"list__item--content\">\n            {dgettext(\n              \"page-login\",\n              \"By clicking this button, you'll be able to create an account or use your existing data.gouv.fr account to log in\"\n            )}\n          </div>\n        </li>\n\n        <li class=\"list__item\">\n          <div class=\"list__item--icon\">\n            <i class=\"icon icon--user-plus\" aria-hidden=\"true\"></i>\n          </div>\n\n          <div class=\"list__item--content\">\n            {dgettext(\n              \"page-login\",\n              \"After having clicked this button, you should click on 'accepter' to authorise transport.data.gouv.fr to access your data.gouv.fr account details\"\n            )}\n          </div>\n        </li>\n      </ul>\n\n      <div class=\"is-centered\">\n        <a class=\"button button--large\" href={session_path(@conn, :new)} role=\"link\">\n          <i class=\"icon icon--login\" aria-hidden=\"true\"></i>\n          {gettext(\"Sign In\")}\n        </a>\n      </div>\n    </div>\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/page/missions.html.md",
    "content": "<%= raw ~s(<div lang=fr>) %>\n\n# À propos du Point d’Accès National\n\n## Contexte\n\nAu carrefour d’enjeux environnementaux, sociaux et économiques, les solutions de déplacement sont en constante évolution, se caractérisant en particulier par une diversification des modes et services de mobilités. Cette multitude de solutions appelle, non seulement à être porté à la connaissance des usagers, mais surtout à faire l’objet d’une réelle articulation, notamment pour les rendre complémentaires, et ainsi s’inscrire dans une optique globale de report modal de l’usage individuel du véhicule vers des modes alternatifs plus vertueux.\n\n## Le problème de politique publique\n\nAu cœur de ce bouquet fleurissant de solutions de déplacements, les voyageurs sont susceptibles de ne pas trouver les informations nécessaires pour réaliser leurs déplacements, voire même de ne pas avoir connaissance de l’existence de service de transport. Ceci conduit en particulier à constituer un réel frein à la mobilité, ou du moins favoriser l’usage de la voiture, au détriment donc des modes alternatifs.\n\n## La solution transport.data.gouv.fr\n\ntransport.data.gouv.fr est un produit numérique, qui se positionne en tant que plateforme de données entre des producteurs (autorités organisatrices de la mobilité, opérateurs de transport, système d’aide à l’exploitation, gestionnaires d’infrastructures) et des réutilisateurs (services numériques d’information voyageurs). La proposition de valeur consiste à rendre disponible facilement sur un point d’accès unique l’ensemble des données utiles à l’information des voyageurs, notamment sur des modes et services de mobilités durables, dans des conditions techniques et juridiques les plus adéquates à la réutilisation.\n\n## Nos missions\n\ntransport.data.gouv.fr c’est également une équipe au service de l’écosystème dans lequel s’inscrit le produit, qui s’attache en particulier à (i) accompagner les producteurs de données dans le processus d’ouverture, et (ii) inciter les services numériques d’information voyageurs à intégrer les données ainsi ouvertes.\n\nD’une manière plus générale, transport.data.gouv.fr est le Point d’accès national officiel pour les données de mobilités en France, ce qui conduit également à jouer un rôle d’animateur au sein de l’écosystème, à agir en tiers de confiance, à apporter du liant entre les acteurs, et à dessiner les perspectives de référence en matière de données de transport.\n\nEnfin, nous veillons à proposer une plateforme parfaitement opérationnelle pour répondre à la demande de l’écosystème. Dans une logique de développement continu, notre infrastructure numérique évolue en effet selon les besoins exprimés par les producteurs, réutilisateurs ou l’équipe projet, avec le déploiement de nouvelles fonctionnalités, ou de nouveaux outils, pour faciliter l’ouverture de données, améliorer leur qualité, leur découvrabilité, et ainsi inciter à leur réutilisation.\n\n## Vidéo de présentation\n\n<div itemscope itemtype=\"https://schema.org/VideoObject\">\n  <meta itemprop=\"name\" content=\"La DINUM en action : présentation de transport.data.gouv.fr\" />\n  <meta itemprop=\"description\" content=\"La DINUM en action : présentation de transport.data.gouv.fr\" />\n  <meta itemprop=\"uploadDate\" content=\"2023-06-07T08:24:42.000Z\" />\n  <meta itemprop=\"thumbnailUrl\" content=\"https://s1.dmcdn.net/v/U_Xeu1aW48sHkdXdT/x180\" />\n  <meta itemprop=\"duration\" content=\"P123S\" />\n  <meta itemprop=\"embedUrl\" content=\"https://www.dailymotion.com/embed/video/x8lkqwo\" />\n  \n  <iframe id=\"dailymotion-video\" frameborder=\"0\" type=\"text/html\" src=\"https://www.dailymotion.com/embed/video/x8lkqwo\" width=\"100%\" height=\"100%\" allowfullscreen></iframe>\n</div>\n\n<%= raw ~s(</div>) %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/page/nouveautes.html.md",
    "content": "# Nouveautés du PAN\n\nRetrouvez sur cette page les principales nouveautés chaque mois.\n\n## Février 2026\n\n### 🚌 NeTEx\n- Identification et notification aux producteurs des ressources NeTEx expirées ;\n- Extraction et affichage de métadonnées dont les modes de transports, les réseaux et les dates de validité d'une ressource NeTEx ;\n- Rapport de validation: erreurs XSD regroupées par message ;\n- Téléchargement du rapport de validation ;\n- Corrections & maintenance.\n\n### ⚡ IRVE\n- Validateur IRVE : autoriser plusieurs espaces dans les coordonnées ;\n- Consolidation :\n  - Consolidation IRVE : création et publication du fichier dédoublonné ;\n  - Renommage du rapport de consolidation IRVE ;\n  - Suppression des pdc avec id_pdc_itinerance \"non concerné\" de la consolidation IRVE dédoublonnée ;\n  - Consolidation IRVE Remontée d’informations supplémentaires ;\n  - Identification des datasets présents dans le consolidé datagouv et non chez nous.\n\n### 🔍 Recherche\n- Optimisation : recherche en mémoire ;\n- Recherche par sous-type avec index en mémoire.\n\n### 📦 Produit\n- Rapport opérationnel (suivi global + détaillé) ;\n- Ajout d'un menu de navigation dans le détail d'une ressource ;\n- Conversion GeoJSON moins mise en avant ;\n- Les ressources GTFS Flex expirées d'un dataset sont désormais identifiées comme telles.\n\n### ⚙️ Ops\n- Montée de version PostgreSQL (de 14 à 18) ;\n- Actualisation de la configuration ZFE ;\n- Ajout de la Suisse dans administrative_division.\n\n## Janvier 2026\n\n### ⚡️ Consolidation IRVE (Infrastructures de Recharge de Véhicules Électriques)\n* **Amélioration du processus PAN** : Optimisation du script de consolidation pour la production, incluant un pré-processing des fichiers avant validation.\n* **Qualité des données** : Transformation systématique en UTF-8, gestion des tabulations dans les coordonnées et autorisation des espaces pour les coordonnées XY.\n* **Monitoring et Reporting** : Mise en place d'un reporting actionnable pour identifier les points de charge (PDC) manquants et ajout de logs détaillés au début des jobs.\n* **Export et Performance** : Possibilité d'exporter la base de données IRVE et ajustement des paramètres de parallélisation et de timeout.\n\n### 🔍 Recherche et Navigation\n* **Recherche par sous-types** : Nouveau filtre permettant de chercher par sous-type de données dans le catalogue.\n* **Autocomplete** : Amélioration de l'ordre des résultats et du comportement de la touche \"Entrée\".\n* **Fil d'ariane** : Mise à jour de la navigation dans l'Espace Producteur pour une meilleure expérience utilisateur.\n\n### 👤 Espaces Utilisateurs (Producteur & Réutilisateur)\n* **Gestion des problèmes urgents** : Affichage des problèmes dans l'espace réutilisateur, ajout de dates de validité et possibilité de trier les colonnes.\n* **UX/UI** : Ajustement de l'affichage des informations importantes et ajout d'un menu interactif pour les nouveautés.\n* **Discussions** : Amélioration du scroll lors du chargement et liens directs vers les discussions sans réponse.\n\n### 📊 Statistiques et Reporting\n* **Visualisation** : Affichage des statistiques de téléchargement sur l'année courante et précédente avec ajout de boutons d'accès rapide en haut de page.\n\n### 🇪🇺 Validation NeTEx\n* Quelques règles spécifiques au profil France sont désormais implémentées.\n\n### ⚙️ Technique et Backend\n* **Proxy S3/HTTP** : Mise en place d'un cache sur disque avec vérification ETag pour optimiser les performances de téléchargement.\n* **Maintenance** : Correction de la gestion de la taille des hypertables TimescaleDB et mises à jour majeures des dépendances (Phoenix, LiveView, Explorer).\n* **Tâches asynchrones** : Refactorisation des jobs d'expiration de données et de notification d'indisponibilité des ressources (avec gestion des tentatives).\n\n## Décembre 2025\n\n### ⚡️ IRVE\n* Consolidation IRVE brute v2 : validation simple, insert en base, pas de dédoublonnage\n\n### 🚀 Espace Producteur & Expérience Utilisateur\n* **Refonte fonctionnelle :** Ajout de statistiques de téléchargement (avec export CSV), gestion des discussions sans réponse et affichage des indicateurs de validité.\n* **Améliorations UI/UX :** Migration de formulaires vers **LiveView**, refonte du CSS, ajout d'icônes et mise en place de pastilles de notification pour les problèmes urgents.\n\n### 🔍 Recherche\n* **Recherche & Autocomplete :** Amélioration de la recherche par format de données et par offre de transport. Ajout de raccourcis clavier et de la recherche par adresse sur les cartes d'exploration.\n\n### 🛠 Validation & Qualité des Données\n* **Standard GTFS :** Intégration du validateur **MobilityData** et support des extensions **GTFS-Flex** et Fares v2.\n* **Performance technique :** Passage au **stockage binaire** pour les résultats de validation NeTEx et optimisation des validateurs JSON Schema et TableSchema.\n\n### 🔌 Proxy & Flux Temps Réel\n* **Proxy Unlock :** Support des flux **GBFS** en plus des **GTFS-RT** avec un meilleur suivi des métriques dans le backoffice.\n\n### 📧 Notifications & Backoffice\n* **Communication :** Intégration du **DSFR** (Design System de l'État) pour les e-mails et ajout d'un outil de prévisualisation dans le Backoffice.\n\n### ⚙️ Technique & Infrastructure\n* **Mises à jour :** Montée de version vers **Elixir 1.19.4** et mise à jour des dépendances critiques.\n* **Optimisations base de données :** Amélioration des plans d'exécution PostgreSQL, ajout d'index de performance et réduction de l'empreinte mémoire pour les grosses ressources.\n* **Maintenance :** Suppression de CircleCI et réorganisation du code source (déplacement de l'application `datagouvfr`).\n\n## Novembre 2025\n\n### 🚀 Nouvelles fonctionnalités\n- **Gestion PASSIM** : Importation des offres PASSIM et renseignement des autorités organisatrices de la mobilité (AOM) associées.\n- **Validation IRVE** : Optimisation majeure de la validation des données IRVE via un pipeline DataFrame vectorisé pour de meilleures performances.\n- **API & Tags** : Ajout de la possibilité d'utiliser des `custom_tags` via l'API.\n- **Export Backoffice** : Ajout des informations relatives aux offres de mobilité dans les exports BO.\n- **Données géographiques** : Mise à jour administrative 2025 pour les EPCI, les communes et les AOM.\n\n### 🛠️ Améliorations techniques & Performance\n- **Maintenance Base de données** : Passage d'un `VACUUM FULL` quotidien (au lieu de hebdomadaire) pour optimiser les performances disque.\n- **Validation** : Nouveau système de stockage des résultats synthétiques de validation et utilisation de `MultiValidation.digest`.\n- **Nettoyage automatique** : Introduction de nouveaux jobs de nettoyage (`CleanMultiValidationJob`, `CleanOnDemandValidationJob`) et correction du cleanup des conversions NeTEx.\n- **Optimisation des logs** : Réduction du volume global des logs pour une meilleure lisibilité.\n- **Stabilité CI** : Mise en place de contournements pour éviter les deadlocks lors des tests d'intégration.\n- **Simplification du modèle** : Suppression définitive des colonnes obsolètes `aom_id`, `region_id` et de la table `dataset_communes` au profit de la couverture spatiale.\n\n### 📈 Interface & Expérience Utilisateur\n- **Gestion des AOM** : Affichage du nombre de ressources sur la page AOM et amélioration du sélecteur de responsables légaux pour retirer une AOM depuis les offres.\n- **Notifications** : Correction de la page de notifications pour les producteurs.\n\n### 🐞 Corrections & Maintenance\n- **Sécurité** : Mise à jour de la dépendance `js-yaml` (4.1.1).\n- **Robustesse** : Amélioration de la stabilité de plusieurs tests (LEZ, expiration des notifications, validations à la demande).\n\n## Octobre 2025\n\n### 🎫 GTFS Fares V2\n- Validateur GTFS : Support de fares V2\n- Détails d'un GTFS : infos si fares v2\n\n### 🔍 GTFS diff\n- GTFS Diff explications supplémentaires pour agency.txt\n- GTFS-Diff - ajout primary keys pour fare_rules\n\n### 🚏 GTFS Flex\n- Lien vers validateur GTFS-Flex dans nouvel onglet\n- GTFS-Flex : change règle de détection\n\n### ♻️ Réutilisations\n- Page réutilisations : modifications des traductions\n- Réutilisations : lien vers Espace réutilisateur\n- Modification contraste de la couleur verte des réutilisateurs\n- Correction couleur des images pour réutilisateurs\n- Accueil : suppression des logos des réutilisateurs\n- Accueil : infos réutilisateurs\n- Ajustements UX pour réutilisateurs\n\n### ⚡ IRVE\n- Stockage des fichiers IRVE valides et leurs points de charge en base de données\n- Primitives pour la validation des IRVE statiques\n\n### 🗺️ Divisions administratives & couverture spatiale\n- Rajout de Monaco à la table des divisions administratives\n- Page stats en utilisant la couverture spatiale\n- DB.Dataset.count_coach : utilise couverture spatiale\n- Mise à jour 2025 pour Commune et EPCI\n- Supprime aom_id et region_id de dataset\n\n### ⚖️ Responsables légaux\n- Retravaille AOMSController avec responsables légaux\n- StatsHandler : utilise uniquement responsables légaux\n- AOMs avec données : uniquement responsables légaux\n\n### 🚀 Performance\n- Temps de chargement des résultats de validation\n\n### 🛠️ Maintenance technique\n- Stabilisation de quelques tests\n- Resource#details: Suppression double binding MultiValidation\n- Ops test : ajout de Sendgrid dans les SPF\n- Mise à jour Cachex v4\n- Mise à jour des dépendances\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/page/single_page.html.heex",
    "content": "<section class=\"single-page section section-grey\">\n  <div class=\"container documentation\">\n    <nav :if={@menu_items} class=\"side-pane\" role=\"navigation\">\n      <li class=\"side-pane__title\">\n        <h3>{@menu_title}</h3>\n      </li>\n      <ul class=\"side-pane__menu\">\n        <%= for {h2, index} <- Enum.with_index(@menu_items) do %>\n          <% class = if index == 0, do: \"side-pane__dropdown unfolded\", else: \"side-pane__dropdown folded\" %>\n          <li class={class}>\n            <a>{h2.title}</a>\n            <ul :if={h2.sub_items != []} class=\"side-pane__submenu\">\n              <li :for={sub <- h2.sub_items}>\n                <a href={\"##{sub.id}\"}>{sub.title}</a>\n              </li>\n            </ul>\n          </li>\n        <% end %>\n      </ul>\n    </nav>\n    <article class=\"panel\">\n      <%= if @content do %>\n        {raw(@content)}\n      <% else %>\n        {render(@page, assigns)}\n      <% end %>\n    </article>\n  </div>\n</section>\n\n<script nonce={@conn.assigns[:csp_nonce_value]}>\n  const dropdowns = document.querySelectorAll('.side-pane__dropdown');\n\n  dropdowns.forEach(dropdown => {\n    dropdown.addEventListener('click', function(event) {\n    const dropdown = event.target.closest('.side-pane__dropdown');\n    if (!dropdown) return;\n\n    const isSubmenuClick = event.target.closest('.side-pane__submenu');\n\n    dropdowns.forEach(div => {\n      if (div == dropdown) return;\n      div.classList.remove('unfolded');\n      div.classList.add('folded');\n    });\n\n    if (!isSubmenuClick) {\n      dropdown.classList.toggle('unfolded');\n      dropdown.classList.toggle('folded');\n    }\n  });\n  });\n\n  const sections = document.querySelectorAll('h3[id]');\n  const navLinks = document.querySelectorAll('.side-pane__submenu a');\n  let isScrollingManual = false;\n\n  navLinks.forEach(link => {\n    link.addEventListener('click', () => {\n      isScrollingManual = true;\n\n      navLinks.forEach(l => l.classList.remove('active'));\n      link.classList.add('active');\n\n      // Reset the flag after the smooth scroll finishes (approx 1s)\n      setTimeout(() => {\n        isScrollingManual = false;\n      }, 1000);\n    });\n  });\n\n  const options = {\n    root: null, // use the browser viewport\n    rootMargin: '-50% 0px -50% 0px', // trigger when section is in the top-ish area\n    threshold: 0\n  };\n\n  const observer = new IntersectionObserver((entries) => {\n    if (isScrollingManual) return; // Skip updating if we just clicked a link\n\n    entries.forEach(entry => {\n      if (entry.isIntersecting) {\n        const id = entry.target.getAttribute('id');\n\n        navLinks.forEach(link => link.classList.remove('active'));\n\n        const activeLink = document.querySelector(`.side-pane__submenu a[href=\"#${id}\"]`);\n        if (activeLink) {\n          activeLink.classList.add('active');\n\n          history.replaceState(null, null, `#${id}`);\n\n          // Ensure only the parent month (dropdown) is unfolded\n          document.querySelectorAll('.side-pane__dropdown').forEach(div => {\n            div.classList.remove('unfolded');\n            div.classList.add('folded');\n          });\n\n          const parentDropdown = activeLink.closest('.side-pane__dropdown');\n          if (parentDropdown) {\n            parentDropdown.classList.remove('folded');\n            parentDropdown.classList.add('unfolded');\n          }\n        }\n      }\n    });\n  }, options);\n\n  sections.forEach(section => observer.observe(section));\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_download_availability.html.heex",
    "content": "<% locale = get_session(@conn, :locale) %>\n<div class=\"panel\">\n  <div class=\"download_availability\">\n    <div class=\"flex_container\">\n      <%= for day_data <- @uptime_per_day do %>\n        <% uptime = day_data[\"uptime\"] * 100 %>\n        <div class={\"day tooltip  #{download_availability_class(uptime)}\"}>\n          <span class=\"tooltiptext\">\n            <div>{DateTimeDisplay.format_date(day_data[\"day\"], locale)}</div>\n            <div class={download_availability_class_text(uptime)}>\n              <strong>{floor_float(uptime, 1)}%</strong>\n            </div>\n          </span>\n        </div>\n      <% end %>\n    </div>\n  </div>\n  <details class=\"pt-24\">\n    <summary>{dgettext(\"page-dataset-details\", \"Learn more\")}</summary>\n    <div>{raw(dgettext(\"page-dataset-details\", \"availability-test-explanations\"))}</div>\n  </details>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_errors_warnings_count.html.heex",
    "content": "<p :if={!is_nil(@nb_errors)}>\n  <b>\n    <%= if @nb_errors + @nb_warnings == 0 do %>\n      <span class=\"icon--validation\">✅</span>{dgettext(\"validations\", \"No error detected\")}\n    <% end %>\n    <%= if @nb_errors == 0 and @nb_warnings > 0 do %>\n      <span class=\"icon--validation\">⚠️</span>{\"#{format_number(@nb_warnings, locale: @locale)} #{dpngettext(\"validations\", \"warnings\", \"warning\", \"warnings\", @nb_warnings)}\"}\n    <% end %>\n    <%= if @nb_errors > 0 and @nb_warnings == 0 do %>\n      <span class=\"icon--validation\">❌</span>{\"#{format_number(@nb_errors, locale: @locale)} #{dpngettext(\"validations\", \"errors\", \"error\", \"errors\", @nb_errors)}\"}\n    <% end %>\n    <%= if @nb_errors > 0 and @nb_warnings > 0 do %>\n      <span class=\"icon--validation\">❌</span>{\"#{format_number(@nb_errors, locale: @locale)} #{dpngettext(\"validations\", \"errors\", \"error\", \"errors\", @nb_errors)}\"}, {\"#{format_number(@nb_warnings, locale: @locale)} #{dpngettext(\"validations\", \"warnings\", \"warning\", \"warnings\", @nb_warnings)}\"}\n    <% end %>\n  </b>\n</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_geojson.html.heex",
    "content": "<% locale = get_session(@conn, :locale) %>\n<div class=\"panel no-padding\">\n  <div id=\"resource-geojson-info\" class=\"p-24\"></div>\n  <div id=\"resource-geojson\"></div>\n  <script src={static_path(@conn, \"/js/mapgeojson.js\")}>\n  </script>\n  <script>\n    document.addEventListener(\"DOMContentLoaded\", function() {\n      TransitGeojsonMap(\n        'resource-geojson',\n        'resource-geojson-info',\n        \"<%= @associated_geojson.url %>\",\n        \"<%= @associated_geojson.filesize || 0 %>\",\n        \"<%= dgettext(\"validations\", \"Stops visualization is quite big\") %>\",\n        \"<%= dgettext(\"validations\", \"Show anyway\") %>\"\n        )\n      })\n  </script>\n</div>\n<div :if={not is_nil(@associated_geojson.resource_history_last_up_to_date_at)} class=\"is-centered mt-12\">\n  {dgettext(\"validations\", \"Visualization up-to-date %{hours} ago.\",\n    hours: hours_ago(@associated_geojson.resource_history_last_up_to_date_at, locale)\n  )}\n  <a class=\"download-button\" rel=\"nofollow\" href={@associated_geojson.stable_url}>\n    <button class=\"button-outline secondary no-border small\">\n      <i class=\"icon icon--download\" aria-hidden=\"true\"></i>{dgettext(\n        \"page-dataset-details\",\n        \"Download as GeoJSON\"\n      )}\n    </button>\n  </a>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_coordinates_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"CoordinatesIssue\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Object type\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Object ID\")}</th>\n  </tr>\n  <%= for issue <- @issues |> Enum.sort_by(& &1[\"object_type\"]) do %>\n    <tr>\n      <td>{issue[\"object_type\"]}</td>\n      <td>{issue[\"object_id\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_duplicate_stop_sequence_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"Impacted file:\")} <tt>stop_times.txt</tt>\n</p>\n<p>\n  {dgettext(\"validations-explanations\", \"DuplicateStopSequence\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Trip ID\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Related stops\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_id\"]}</td>\n      <td>\n        <ul>{format_related_objects(issue[\"related_objects\"])}</ul>\n      </td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_duplicate_stops_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"Impacted file:\")} <tt>stops.txt</tt>\n</p>\n<p>\n  {dgettext(\"validations-explanations\", \"DuplicateStops\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Stop ID\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Stop name\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Close stop\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_id\"]}</td>\n      <td>{issue[\"object_name\"]}</td>\n      <td>\n        <ul>{format_related_objects(issue[\"related_objects\"])}</ul>\n      </td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_extra_file_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"ExtraFile\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"File name\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_id\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_generic_issue.html.heex",
    "content": "<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Object type\")}</th>\n    <th>{dgettext(\"page-dataset-details\", \"Object ID\")}</th>\n    <th>{dgettext(\"page-dataset-details\", \"Object name\")}</th>\n    <th>{dgettext(\"page-dataset-details\", \"Related object ID\")}</th>\n    <th>{dgettext(\"page-dataset-details\", \"Details\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_type\"]}</td>\n      <td>{issue[\"object_id\"]}</td>\n      <td>{issue[\"object_name\"]}</td>\n      <td>\n        <ul>{format_related_objects(issue[\"related_objects\"])}</ul>\n      </td>\n      <td>{issue[\"details\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_invalid_shape_id_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"Impacted file:\")} <tt>trips.txt</tt>\n</p>\n<p>\n  {dgettext(\"validations-explanations\", \"Some shape id used in trips.txt are not defined in shapes.txt\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Trip ID\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Details\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_id\"]}</td>\n      <td>{issue[\"details\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_missing_file_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"MissingFile\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"File name\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_id\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_missing_id_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"MissingId\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Object type\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_type\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_missing_name_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"MissingName\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Object type\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Object ID\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_type\"]}</td>\n      <td>{issue[\"object_id\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_negative_stop_duration_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"Impacted file:\")} <tt>stop_times.txt</tt>\n</p>\n<p>\n  {dgettext(\"validations-explanations\", \"NegativeStopDuration\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Trip ID\")}</th>\n    <th>{dgettext(\"page-dataset-details\", \"Details\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_id\"]}</td>\n      <td>{issue[\"details\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_no_calendar.html.heex",
    "content": "<p>\n  {raw(dgettext(\"validations-explanations\", \"NoCalendar\"))}\n</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_rt.html.heex",
    "content": "<h2 id=\"gtfs-rt\">{dgettext(\"page-dataset-details\", \"GTFS-RT feed content\")}</h2>\n\n<div class=\"panel\">\n  <%= if @gtfs_rt_feed == :error do %>\n    <div class=\"notification error full-width mt-0\">\n      <p>{dgettext(\"page-dataset-details\", \"Could not decode the GTFS-RT feed.\")}</p>\n    </div>\n    <p>\n      {dgettext(\n        \"page-dataset-details\",\n        \"The GTFS-RT feed should be accessible over HTTP, without authentication and use the Protobuf format.\"\n      )}\n    </p>\n  <% end %>\n\n  <%= unless @gtfs_rt_feed == :error do %>\n    <h3 id=\"entities\">{raw(dgettext(\"page-dataset-details\", \"Entities\"))}</h3>\n    <p>\n      {raw(\n        dgettext(\"page-dataset-details\", \"Entities present in this feed at %{date}.\",\n          date: format_datetime_to_paris(Transport.GTFSRT.timestamp(@gtfs_rt_feed.feed), @locale)\n        )\n      )}\n    </p>\n    <%= for {entity, count} <- @gtfs_rt_feed.feed |> Transport.GTFSRT.count_entities() |> Enum.sort_by(fn {_, v} -> v end, &>=/2) do %>\n      <% maybe_mode = if count > 0, do: \" mode\", else: \"\" %>\n      <span class={\"label\" <> maybe_mode} lang=\"en\">\n        {\"#{entity} (#{format_number(count, locale: @locale)})\"}\n      </span>\n    <% end %>\n    <%= if @gtfs_rt_feed.feed_is_too_old do %>\n      <p class=\"notification message--error\">\n        {raw(\n          dgettext(\n            \"page-dataset-details\",\n            ~s(The <a href=\"%{link}\" target=\"_blank\">timestamp field</a> appears to be too old compared to the current time: the delay is %{seconds} seconds. Try to update your feed at most every 30 seconds.),\n            link: \"https://developers.google.com/transit/gtfs-realtime/reference#message-feedheader\",\n            seconds: format_number(@gtfs_rt_feed.feed_timestamp_delay, locale: @locale)\n          )\n        )}\n      </p>\n    <% end %>\n    <%= unless is_nil(@entities_seen_recently) or Enum.empty?(@entities_seen_recently) do %>\n      <p>\n        {dgettext(\"page-dataset-details\", \"Entities seen in the last %{nb} days.\", nb: nb_days_entities())}\n      </p>\n      <%= for feature <- @entities_seen_recently do %>\n        <span class=\"label mode\">{feature}</span>\n      <% end %>\n    <% end %>\n  <% end %>\n\n  <%= unless @gtfs_rt_feed == :error or Enum.empty?(@gtfs_rt_feed.alerts) do %>\n    <h3 id=\"service-alerts\">{raw(dgettext(\"page-dataset-details\", \"Service alerts\"))}</h3>\n    <p>\n      {dgettext(\"page-dataset-details\", \"Here is a display of service alerts contained in this feed at %{date}.\",\n        date: format_datetime_to_paris(Transport.GTFSRT.timestamp(@gtfs_rt_feed.feed), @locale)\n      )}\n    </p>\n    <%= for service_alert <- @gtfs_rt_feed.alerts do %>\n      <div class=\"panel\">\n        <p class=\"mt-0 mb-0\">\n          <i class={\"icon \" <> service_alert_icon(service_alert)} title={service_alert.cause}></i>\n          <b>\n            {service_alert.header_text}\n          </b>\n          <span class=\"label\">\n            {service_alert_effect(service_alert)}\n          </span>\n        </p>\n        <p>\n          {service_alert.description_text}\n        </p>\n        <%= unless is_nil(service_alert.current_active_period) do %>\n          <p class=\"small\">\n            <% start_date = Map.fetch!(service_alert.current_active_period, :start) %>\n            <% end_date = Map.fetch!(service_alert.current_active_period, :end) %>\n            <%= if not is_nil(start_date) and not is_nil(end_date) do %>\n              {dgettext(\"page-dataset-details\", \"Between %{start} and %{end}\",\n                start: format_datetime_to_paris(start_date, @locale),\n                end: format_datetime_to_paris(end_date, @locale)\n              )}\n            <% end %>\n            <%= if not is_nil(start_date) and is_nil(end_date) do %>\n              {dgettext(\"page-dataset-details\", \"From %{start}\", start: format_datetime_to_paris(start_date, @locale))}\n            <% end %>\n            <%= if is_nil(start_date) and not is_nil(end_date) do %>\n              {dgettext(\"page-dataset-details\", \"Until %{end}\", end: format_datetime_to_paris(end_date, @locale))}\n            <% end %>\n          </p>\n        <% end %>\n        <%= unless is_nil(service_alert.url) do %>\n          <a href={service_alert.url} target=\"_blank\">\n            {dgettext(\"page-dataset-details\", \"See details\")}\n          </a>\n        <% end %>\n      </div>\n    <% end %>\n  <% end %>\n\n  <%= unless @gtfs_rt_feed == :error do %>\n    <h3 id=\"gtfs-rt-decoded-feed\">{dgettext(\"page-dataset-details\", \"Decoded GTFS-RT feed\")}</h3>\n\n    <details>\n      <summary>{dgettext(\"page-dataset-details\", \"See full payload\")}</summary>\n      <p>\n        {raw(\n          dgettext(\n            \"page-dataset-details\",\n            ~s|Here is the decoded GTFS-RT feed Protobuf at %{date}. You can look at <a href=\"%{link}\" target=\"_blank\">the GTFS-RT documentation</a>.|,\n            link: \"https://developers.google.com/transit/gtfs-realtime/reference\",\n            date: format_datetime_to_paris(Transport.GTFSRT.timestamp(@gtfs_rt_feed.feed), @locale)\n          )\n        )}\n      </p>\n      <button class=\"button\" data-clipboard-target=\"#feed_payload\">\n        <i class=\"fa fa-copy\"></i>\n        {dgettext(\"page-dataset-details\", \"Copy to clipboard\")}\n      </button>\n      <code id=\"feed_payload\">\n        {@gtfs_rt_feed |> display_gtfs_rt_feed()}\n      </code>\n    </details>\n  <% end %>\n</div>\n<script defer type=\"text/javascript\" src={static_path(@conn, \"/js/clipboard.js\")} />\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_rt_errors_for_severity.html.heex",
    "content": "<%= for error <- @errors_for_severity |> Enum.sort_by(&{Map.fetch!(&1, \"error_id\") not in Transport.Validators.GTFSRT.id_mismatch_error_codes(), Map.fetch!(&1, \"error_id\")}) do %>\n  <% nb_errors = Map.fetch!(error, \"errors_count\") %>\n  <div class=\"panel\">\n    <p class=\"mt-0 mb-0\">\n      <b lang=\"en\">\n        {Map.fetch!(error, \"title\")}\n        <span class=\"small\">\n          <a href={gtfs_rt_validator_rule_url(error)} target=\"_blank\">{Map.fetch!(error, \"error_id\")}</a>\n        </span>\n      </b>\n\n      <span class=\"label\">\n        {\"#{format_number(nb_errors, locale: @locale)} #{dpngettext(\"validations\", \"errors\", \"error\", \"errors\", nb_errors)}\"}\n      </span>\n    </p>\n\n    <p lang=\"en\" class=\"my-.5\">\n      {Map.fetch!(error, \"description\")}\n    </p>\n\n    <details>\n      <summary>{dgettext(\"validations\", \"Sample errors\")}</summary>\n      <ul lang=\"en\">\n        <%= for error_detail <- Map.fetch!(error, \"errors\") do %>\n          <li>{error_detail}</li>\n        <% end %>\n      </ul>\n    </details>\n  </div>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_rt_previous_validations_details.html.heex",
    "content": "<%= unless Enum.empty?(@latest_validations_details) do %>\n  <h3>{dgettext(\"validations\", \"Previous validations\")}</h3>\n  <p>\n    {dgettext(\"validations\", \"Here is a recap of all the error types encountered over the last %{nb} days.\",\n      nb: latest_validations_nb_days()\n    )}\n  </p>\n  <table class=\"table\">\n    <tr>\n      <th>{dgettext(\"validations\", \"Error ID\")}</th>\n      <th>{dgettext(\"validations\", \"Description\")}</th>\n      <th>{dgettext(\"validations\", \"Errors count\")}</th>\n      <th>{dgettext(\"validations\", \"Number of occurences\")}</th>\n    </tr>\n\n    <%= for {error_id, details} <- @latest_validations_details |> Enum.sort_by(fn {_, v} -> v[\"occurence\"] end, &>=/2) do %>\n      <tr>\n        <td><a href={gtfs_rt_validator_rule_url(error_id)} target=\"_blank\">{error_id}</a></td>\n        <td lang=\"en\">{details[\"description\"]}</td>\n        <td>{format_number(details[\"errors_count\"], locale: @locale)}</td>\n        <td>\n          {dgettext(\"validations\", \"%{count} times (%{percentage} % of validations)\",\n            count: format_number(details[\"occurence\"], locale: @locale),\n            percentage: details[\"percentage\"]\n          )}\n        </td>\n      </tr>\n    <% end %>\n  </table>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_speed_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"Impacted file:\")} <tt>stop_times.txt</tt>\n</p>\n<p>\n  {dgettext(\"validations-explanations\", \"SpeedIssue\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Stop ID\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Stop name\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Next stop and service\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Details\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_id\"]}</td>\n      <td>{issue[\"object_name\"]}</td>\n      <td>\n        <ul>{format_related_objects(issue[\"related_objects\"])}</ul>\n      </td>\n      <td>{issue[\"details\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_subfolder_issue.html.heex",
    "content": "<p>\n  <% %Scrivener.Page{entries: [%{\"object_id\" => folder, \"issue_type\" => \"SubFolder\"}]} = @issues %>\n  {dgettext(\"validations-explanations\", \"SubFolder\", folder: folder)}\n</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_unloadable_model_issue.html.heex",
    "content": "<p>\n  {dgettext(\n    \"validations-explanations\",\n    \"The file does not comply with the GTFS specification, the tool cannot perform all the checks.\"\n  )}\n</p>\n<%= for issue <- @issues do %>\n  <%= unless issue[\"related_file\"] |> is_nil do %>\n    <div class=\"validation-details\">\n      <div>\n        {dgettext(\"validations-explanations\", \"Error on file\")} <tt>{issue[\"related_file\"][\"file_name\"]}</tt>\n        <%= unless issue[\"related_file\"][\"line\"] |> is_nil do %>\n          {dgettext(\"validations-explanations\", \"at line\")}\n          <b>{issue[\"related_file\"][\"line\"][\"line_number\"]}</b>\n        <% end %>\n      </div>\n      <%= unless issue[\"related_file\"][\"line\"] |> is_nil do %>\n        <div>\n          <div>\n            {dgettext(\"validations-explanations\", \"Glimpse of the file\")}\n            <div class=\"scrolable-table\">\n              <table class=\"table file-table\">\n                <tr>\n                  <%= for header <- issue[\"related_file\"][\"line\"][\"headers\"] do %>\n                    <th>{header}</th>\n                  <% end %>\n                </tr>\n                <tr>\n                  <%= for value <- issue[\"related_file\"][\"line\"][\"values\"] do %>\n                    <td><span class=\"raw-values\">{value}</span></td>\n                  <% end %>\n                </tr>\n              </table>\n            </div>\n          </div>\n        </div>\n      <% end %>\n    </div>\n  <% end %>\n  <div>\n    {dgettext(\"validations-explanations\", \"Error detail:\")}\n    <div class=\"error-details\">\n      {issue[\"details\"]}\n    </div>\n  </div>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_unusable_trip.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"UnusableTrip\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Object type\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Object ID\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_type\"]}</td>\n      <td>{issue[\"object_id\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_unused_shape_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"Impacted file:\")} <tt>shapes.txt</tt>\n</p>\n<p>\n  {dgettext(\"validations-explanations\", \"Some shapes defined in shapes.txt are not used in trips.txt\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Shape ID\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_id\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_gtfs_unused_stop_issue.html.heex",
    "content": "<p>\n  {dgettext(\"validations-explanations\", \"Impacted file:\")} <tt>stops.txt</tt>\n</p>\n<p>\n  {dgettext(\"validations-explanations\", \"UnusedStop\")}\n</p>\n<table class=\"table\">\n  <tr>\n    <th>{dgettext(\"validations-explanations\", \"Stop ID\")}</th>\n    <th>{dgettext(\"validations-explanations\", \"Stop name\")}</th>\n  </tr>\n\n  <%= for issue <- @issues do %>\n    <tr>\n      <td>{issue[\"object_id\"]}</td>\n      <td>{issue[\"object_name\"]}</td>\n    </tr>\n  <% end %>\n</table>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_mobilitydata_metadata.html.heex",
    "content": "<div :if={not is_nil(@validation.metadata)} %>\n  <% %DB.ResourceMetadata{metadata: metadata, features: features} = @validation.metadata\n  locale = get_session(@conn, :locale) %>\n  <%= if metadata[\"start_date\"] not in [\"\", nil] and metadata[\"end_date\"] not in [\"\", nil] do %>\n    <p>\n      {dgettext(\"validations\", \"It is valid from\")}\n      <strong>{DateTimeDisplay.format_date(metadata[\"start_date\"], locale)}</strong> {dgettext(\n        \"validations\",\n        \"to\"\n      )} <strong><%= DateTimeDisplay.format_date(metadata[\"end_date\"], locale) %></strong>.\n    </p>\n  <% end %>\n  <div :if={not is_nil(metadata[\"counts\"])}>\n    <ul>\n      <li :for={{value, count} <- metadata[\"counts\"]}>{value} : {format_number(count, locale: locale)}</li>\n    </ul>\n  </div>\n  <div :if={Enum.count(features) > 0} lang=\"en\">\n    <span :for={feature <- Enum.sort(features)} class=\"label\">{feature}</span>\n  </div>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_netex_generic_issue.html.heex",
    "content": "<.netex_generic_issues issues={@issues} />\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_netex_validation_errors_v0_1_0.html.heex",
    "content": "<%= if @issues.total_entries == 0 do %>\n  {dgettext(\"validations\", \"No validation error\")}.\n<% else %>\n  <nav class=\"issues-list validation\" role=\"navigation\">\n    {render(\"_validation_summary.html\",\n      conn: @conn,\n      data_vis: nil,\n      issues: @issues,\n      severities_count: @severities_count,\n      token: nil,\n      validation_summary: @validation_summary,\n      results_adapter: @results_adapter\n    )}\n  </nav>\n  <% issue_type = @results_adapter.issue_type(@issues.entries) %>\n  <div class=\"main-pane\">\n    {pagination_links(@conn, @issues, [@resource.id],\n      issue_type: issue_type,\n      path: &resource_path/4,\n      action: :details\n    )}\n    {render(netex_template(), issues: @issues || [], conn: @conn)}\n  </div>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_netex_validation_errors_v0_2_x.html.heex",
    "content": "<% current_category = @filter[\"issues_category\"] || \"xsd-schema\" %>\n\n<.netex_validation_report_title\n  level={4}\n  max_severity={@max_severity}\n  results_adapter={@results_adapter}\n  validation_report_url={@validation_report_url}\n/>\n\n<.netex_validation_report_content\n  conn={@conn}\n  current_category={current_category}\n  xsd_errors={@xsd_errors}\n  issues={@issues}\n  results_adapter={@results_adapter}\n  validation_report_url={@validation_report_url}\n  validation_summary={@validation_summary}\n  pagination={netex_pagination_links(@conn, @issues, @resource, current_category)}\n/>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_netex_xsd_schema.html.heex",
    "content": ""
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_on_demand_validation_hint.html.heex",
    "content": "<p class=\"notification\">\n  {raw(\n    dgettext(\n      \"validations\",\n      ~s(Are you the producer of this data? Once you have fixed your errors, you can verify that your file is valid <a href=\"%{link}\" target=\"_blank\">using our validators</a>.),\n      link: on_demand_validation_link(@conn, @resource)\n    )\n  )}\n</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_related_resources.html.heex",
    "content": "<% resources_by_id = Enum.into(@resource.dataset.resources, %{}, fn %DB.Resource{id: id} = r -> {id, r} end) %>\n<h2 id=\"related-resources\">{dgettext(\"page-dataset-details\", \"Related resources\")}</h2>\n<section>\n  <div class=\"ressources-list\">\n    <%= for resource_related_details <- @resource.resources_related do %>\n      <% related_resource = Map.fetch!(resources_by_id, resource_related_details.resource_dst_id) %>\n      <div class=\"panel resource\">\n        <h4><a href={resource_path(@conn, :details, related_resource.id)}>{related_resource.title}</a></h4>\n        <div class=\"pt-12\">\n          <i class=\"icon fa fa-link\" aria-hidden=\"true\"></i>{DB.ResourceRelated.reason_to_str(resource_related_details)}\n        </div>\n      </div>\n    <% end %>\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_requestor_ref.html.heex",
    "content": "<% requestor_ref = DB.Resource.requestor_ref(@resource)\nsiri_querier_params = [endpoint_url: @resource.url, requestor_ref: requestor_ref, query_template: \"LinesDiscovery\"] %>\n<h2 id=\"siri-authentication\">{dgettext(\"resource\", \"SIRI authentication\")}</h2>\n\n<div class=\"panel\">\n  <p>\n    {dgettext(\"resource\", \"An authentication is required to access this SIRI feed.\")}\n    {raw(\n      dgettext(\n        \"resource\",\n        ~s|The key (RequestorRef) to provide is <code class=\"inline\" id=\"siri_requestor_ref\">%{requestor_ref}</code>.|,\n        requestor_ref: requestor_ref\n      )\n    )}\n  </p>\n  <button class=\"button\" data-clipboard-target=\"#siri_requestor_ref\">\n    <i class=\"fa fa-copy\"></i>\n    {dgettext(\"page-dataset-details\", \"Copy to clipboard\")}\n  </button>\n  <a href={live_path(@conn, TransportWeb.Live.SIRIQuerierLive, siri_querier_params)}>\n    <button class=\"button-outline primary\">{dgettext(\"page-dataset-details\", \"Try me!\")}</button>\n  </a>\n</div>\n\n<script defer type=\"text/javascript\" src={static_path(@conn, \"/js/clipboard.js\")} />\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_resource_description.html.heex",
    "content": "<div>\n  {dgettext(\"validations\", \"File name\")}{dgettext(\"helper\", \":\")}\n  <strong>{@resource.title}</strong>\n</div>\n<div>\n  {dgettext(\"resource\", \"Format:\")} <span class=\"label\">{@resource.format}</span>\n</div>\n<div :if={not is_nil(@resource_history) and Map.has_key?(@resource_history.payload, \"filesize\")}>\n  {dgettext(\"resource\", \"Size:\")} {Map.fetch!(@resource_history.payload, \"filesize\")\n  |> Sizeable.filesize()}\n</div>\n<div class=\"form__group pt-12\">\n  <a class=\"button-outline small secondary\" href={DB.Resource.download_url(@resource, @conn)}>\n    <i class=\"icon icon--download\" aria-hidden=\"true\"></i>{dgettext(\"resource\", \"Download\")}\n  </a>\n  <a\n    :if={eligible_for_explore?(@resource)}\n    class=\"button-outline small secondary ml-05-em\"\n    href={explore_url(@resource)}\n    target=\"_blank\"\n  >\n    <i class=\"icon fa fa-external-link-alt\" aria-hidden=\"true\"></i>{dgettext(\n      \"resource\",\n      \"Open with explore.data.gouv.fr\"\n    )}\n  </a>\n</div>\n<div :if={should_display_description?(@resource)} class=\"panel mt-24\" lang=\"fr\">\n  {description(@resource)}\n</div>\n<p>\n  {dgettext(\"validations\", \"This resource file is part of the dataset\")} {link(\n    @resource.dataset.custom_title,\n    to: dataset_path(@conn, :details, @resource.dataset.slug)\n  )}.\n</p>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_resources_details_gtfs.html.heex",
    "content": "<% locale = get_session(@conn, :locale)\nstats = @metadata[\"stats\"] %>\n<%= unless is_nil(@metadata) do %>\n  <div>\n    <%= if @metadata[\"start_date\"] != nil and @metadata[\"end_date\"] != nil do %>\n      <p>\n        {dgettext(\"validations\", \"It is valid from\")}\n        <strong>{DateTimeDisplay.format_date(@metadata[\"start_date\"], locale)}</strong> {dgettext(\n          \"validations\",\n          \"to\"\n        )} <strong><%= DateTimeDisplay.format_date(@metadata[\"end_date\"], locale) %></strong>.\n      </p>\n    <% end %>\n    <ul>\n      <% networks_start_end_dates = Map.get(@metadata, \"networks_start_end_dates\", %{}) %>\n      <% networks = Map.get(@metadata, \"networks\", []) %>\n      <%= if Enum.count(networks) > 1 and networks_start_end_dates not in [nil, %{}] do %>\n        <li>\n          <div>\n            <div class=\"networks-list\">\n              {dgettext(\"validations\", \"calendar span by network:\")}\n              <.networks_start_end_dates\n                networks_start_end_dates={networks_start_end_dates}\n                locale={get_session(@conn, :locale)}\n              />\n            </div>\n          </div>\n        </li>\n      <% else %>\n        <li :if={networks != []}>\n          <div>\n            <div class=\"networks-list\">\n              {dngettext(\"validations\", \"network\", \"networks\", length(networks))} :\n              <strong>{Enum.join(networks, \", \")}</strong>\n            </div>\n          </div>\n        </li>\n      <% end %>\n      <li :if={length(@modes) > 0}>\n        {dngettext(\"validations\", \"transport mode\", \"transport modes\", length(@modes))} :\n        <strong>{Enum.join(@modes, \", \")}</strong>\n      </li>\n      <li :if={stats[\"routes_count\"] != nil}>\n        {dgettext(\"validations\", \"number of routes:\")}\n        <strong>{format_nil_or_number(stats[\"routes_count\"], locale)}</strong>\n      </li>\n      <li :if={stats[\"stop_points_count\"] != nil}>\n        {dgettext(\"validations\", \"number of stop points:\")}\n        <strong>{format_nil_or_number(stats[\"stop_points_count\"], locale)}</strong>\n      </li>\n      <li :if={stats[\"stop_areas_count\"] != nil}>\n        {dgettext(\"validations\", \"number of stop areas:\")}\n        <strong>{format_nil_or_number(stats[\"stop_areas_count\"], locale)}</strong>\n      </li>\n    </ul>\n  </div>\n  <p>\n    {dgettext(\"page-dataset-details\", \"The following table displays if the file/field is present in the GTFS.\")}\n  </p>\n  <table class=\"table small-padding mb-24\">\n    <thead>\n      <tr>\n        <th>{dgettext(\"page-dataset-details\", \"Description\")}</th>\n        <th>{dgettext(\"page-dataset-details\", \"File or field\")}</th>\n        <th>{dgettext(\"page-dataset-details\", \"Status\")}</th>\n        <th>{dgettext(\"page-dataset-details\", \"Quantity\")}</th>\n      </tr>\n    </thead>\n    <tbody>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Stop accessibility\")}</td>\n        <td lang=\"en\"><code>stops.txt</code> — <code>wheelchair_boarding</code></td>\n        <td>{yes_no_icon(stats[\"stops_with_wheelchair_info_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"stops_with_wheelchair_info_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Trip accessibility\")}</td>\n        <td lang=\"en\"><code>trips.txt</code> — <code>wheelchair_accessible</code></td>\n        <td>{yes_no_icon(stats[\"trips_with_wheelchair_info_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"trips_with_wheelchair_info_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Line short name or line number\")}</td>\n        <td lang=\"en\"><code>routes.txt</code> — <code>route_short_name</code></td>\n        <td>{yes_no_icon(stats[\"routes_with_short_name_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"routes_with_short_name_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Line long name\")}</td>\n        <td lang=\"en\"><code>routes.txt</code> — <code>route_long_name</code></td>\n        <td>{yes_no_icon(stats[\"routes_with_long_name_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"routes_with_long_name_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Line color\")}</td>\n        <td lang=\"en\"><code>routes.txt</code> — <code>route_color</code></td>\n        <td>{yes_no_icon(stats[\"routes_with_custom_color_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"routes_with_custom_color_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Trip headsign\")}</td>\n        <td lang=\"en\"><code>trips.txt</code> — <code>trip_headsign</code></td>\n        <td>{yes_no_icon(stats[\"trips_with_trip_headsign_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"trips_with_trip_headsign_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"The possibility of carrying a bicycle in the vehicle\")}</td>\n        <td lang=\"en\"><code>trips.txt</code> — <code>bikes_allowed</code></td>\n        <td>{yes_no_icon(stats[\"trips_with_bike_info_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"trips_with_bike_info_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Trip shapes\")}</td>\n        <td lang=\"en\"><code>shapes.txt</code></td>\n        <td>{yes_no_icon(stats[\"trips_with_shape_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"trips_with_shape_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Fare attributes\")}</td>\n        <td lang=\"en\"><code>fare_attributes.txt</code></td>\n        <td>{yes_no_icon(stats[\"fares_attribute_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"fares_attribute_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Fare rules\")}</td>\n        <td lang=\"en\"><code>fare_rules.txt</code></td>\n        <td>{yes_no_icon(stats[\"fares_rules_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"fares_rules_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Fare products\")}</td>\n        <td lang=\"en\"><code>fare_products.txt</code></td>\n        <td>{yes_no_icon(stats[\"fares_products_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"fares_products_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Fare media\")}</td>\n        <td lang=\"en\"><code>fare_media.txt</code></td>\n        <td>{yes_no_icon(stats[\"fares_media_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"fares_media_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"Transfers\")}</td>\n        <td lang=\"en\"><code>transfers.txt</code></td>\n        <td>{yes_no_icon(stats[\"transfers_count\"])}</td>\n        <td>{format_nil_or_number(stats[\"transfers_count\"], locale)}</td>\n      </tr>\n      <tr>\n        <td>{dgettext(\"page-dataset-details\", \"On-demand transport\")}</td>\n        <td lang=\"en\"><code>stop_times.txt</code> — <code>pickup_type</code>, <code>drop_off_type</code></td>\n        <td>\n          <%= if Transport.Validators.GTFSTransport.has_odt_tag?(@metadata) do %>\n            ✅\n          <% else %>\n            ❌\n          <% end %>\n        </td>\n        <td></td>\n      </tr>\n    </tbody>\n  </table>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_resources_details_netex.html.heex",
    "content": "<% locale = get_session(@conn, :locale) %>\n<% networks = Map.get(@metadata, \"networks\", []) %>\n<% modes = Map.get(@metadata, \"modes\", []) %>\n<% stats = Map.get(@metadata, \"stats\", %{}) %>\n<% features = Map.get(@metadata, \"features\", %{}) %>\n\n<p :if={@metadata[\"start_date\"] != nil and @metadata[\"end_date\"] != nil}>\n  {dgettext(\"validations\", \"It is valid from\")}\n  <strong>{DateTimeDisplay.format_date(@metadata[\"start_date\"], locale)}</strong> {dgettext(\n    \"validations\",\n    \"to\"\n  )} <strong><%= DateTimeDisplay.format_date(@metadata[\"end_date\"], locale) %></strong>.\n</p>\n<ul>\n  <.netex_features features={features} />\n  <li :if={networks != []}>\n    <div>\n      <div class=\"networks-list\">\n        {dngettext(\"validations\", \"network\", \"networks\", length(networks))} :\n        <strong>{Enum.join(networks, \", \")}</strong>\n      </div>\n    </div>\n  </li>\n  <li :if={modes != []}>\n    {dngettext(\"validations\", \"transport mode\", \"transport modes\", length(modes))} :\n    <strong>{Enum.join(modes, \", \")}</strong>\n  </li>\n  <.netex_statistics stats={stats} locale={locale} />\n</ul>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_resources_netex_validation_details.html.heex",
    "content": "<% locale = get_session(@conn, :locale) %>\n<% duration =\n  if @metadata[\"elapsed_seconds\"] < 1 do\n    dgettext(\"validations\", \"less than 1 second\")\n  else\n    format_duration(@metadata[\"elapsed_seconds\"], locale)\n  end %>\n<div>\n  {dgettext(\"validations\", \"Elapsed time: %{duration}.\", duration: duration)}\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_search_bar.html.heex",
    "content": "<div class=\"container dataset-page-top pb-24\">\n  <div class=\"form__group\">\n    <%= form_for @conn, dataset_path(@conn, :index), [method: \"get\", class: \"shortlist-form\"], fn f -> %>\n      <div class=\"searchBar\">\n        {search_input(f, :q,\n          id: \"autoComplete\",\n          autocomplete: \"off\",\n          value: assigns[:q] || \"\",\n          placeholder: dgettext(\"page-index\", \"Find dataset\"),\n          \"aria-label\": dgettext(\"page-index\", \"Find dataset\")\n        )}\n        <div class=\"autoCompleteResultsField\">\n          <div id=\"autoCompleteResults\"></div>\n        </div>\n      </div>\n    <% end %>\n  </div>\n</div>\n{render(TransportWeb.PageView, \"_home_autocomplete.html\", conn: @conn)}\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_validate_gbfs_now.html.heex",
    "content": "<% validation_path =\n  live_path(@conn, TransportWeb.Live.OnDemandValidationSelectLive,\n    type: \"gbfs\",\n    selected_tile: \"vehicles-sharing\",\n    selected_subtile: \"gbfs\",\n    url: @resource.url\n  ) %>\n<a class=\"button\" href={validation_path} target=\"_blank\" role=\"link\">\n  <i class=\"icon fa-check\" aria-hidden=\"true\"></i>\n  {dgettext(\"validations\", \"Validate this GBFS now\")}\n</a>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_validate_gtfs_rt_now.html.heex",
    "content": "<% associated_gtfs = gtfs_for_gtfs_rt(@resource, @validation) %>\n<%= if is_nil(associated_gtfs) do %>\n  <div class=\"notification error full-width\">\n    <p>\n      {dgettext(\n        \"page-dataset-details\",\n        \"Cannot determine the relevant GTFS file to use to perform a GTFS-RT validation.\"\n      )}\n    </p>\n  </div>\n<% else %>\n  <% validation_path =\n    live_path(@conn, TransportWeb.Live.OnDemandValidationSelectLive,\n      type: \"gtfs-rt\",\n      selected_tile: \"public-transit\",\n      selected_subtile: \"gtfs-rt\",\n      url: associated_gtfs.url,\n      feed_url: DB.Resource.download_url(@resource)\n    ) %>\n  <a class=\"button\" href={validation_path} target=\"_blank\" role=\"link\">\n    <i class=\"icon fa-check\" aria-hidden=\"true\"></i>\n    {dgettext(\"validations\", \"Validate this GTFS-RT now\")}\n  </a>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_validation_report.html.heex",
    "content": "<% show_schema_validation = not is_nil(@resource.schema_name) and multi_validation_performed?(@validation) %>\n<% show_gtfs_rt_validation = DB.Resource.gtfs_rt?(@resource) and multi_validation_performed?(@validation) %>\n<% show_gbfs_validation = DB.Resource.gbfs?(@resource) and multi_validation_performed?(@validation) %>\n<% show_mobilitydata_gtfs_validation =\n  Transport.Validators.MobilityDataGTFSValidator.mine?(@validation) and multi_validation_performed?(@validation) %>\n<% show_no_validation =\n  not Enum.any?([\n    show_schema_validation,\n    show_gtfs_rt_validation,\n    show_gbfs_validation,\n    show_mobilitydata_gtfs_validation\n  ]) %>\n\n<h2 id=\"validation-report\">{dgettext(\"validations\", \"Validation details\")}</h2>\n\n<%= if show_schema_validation do %>\n  {render(\"_validation_report_schema.html\", resource: @resource, conn: @conn, validation: @validation)}\n<% end %>\n\n<%= if show_gtfs_rt_validation do %>\n  {render(\"_validation_report_gtfs_rt.html\",\n    resource: @resource,\n    conn: @conn,\n    validation: @validation,\n    latest_validations_details: @latest_validations_details\n  )}\n<% end %>\n\n<%= if show_gbfs_validation do %>\n  {render(\"_validation_report_gbfs.html\", resource: @resource, conn: @conn, validation: @validation)}\n<% end %>\n\n<%= if show_mobilitydata_gtfs_validation do %>\n  {render(\"_validation_report_mobilitydata_gtfs.html\",\n    resource: @resource,\n    conn: @conn,\n    validation: @validation,\n    file_url: Map.fetch!(@validation.resource_history.payload, \"permanent_url\"),\n    locale: get_session(@conn, :locale)\n  )}\n<% end %>\n\n<%= if show_no_validation do %>\n  <div class=\"panel\">\n    <div>\n      {dgettext(\"validations\", \"No validation available\")}\n    </div>\n    <%= if DB.Resource.gtfs_rt?(@resource) do %>\n      {render(\"_validate_gtfs_rt_now.html\", conn: @conn, resource: @resource, validation: @validation)}\n    <% end %>\n    <%= if DB.Resource.gbfs?(@resource) do %>\n      {render(\"_validate_gbfs_now.html\", conn: @conn, resource: @resource)}\n    <% end %>\n  </div>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_validation_report_gbfs.html.heex",
    "content": "<div class=\"panel\">\n  <p>\n    {raw(\n      dgettext(\n        \"validations\",\n        ~s(Validation carried out the %{date} using the <a href=\"%{validator_url}\" target=\"_blank\">MobilityData validator</a>.),\n        date: DateTimeDisplay.format_datetime_to_paris(@validation.validation_timestamp, get_session(@conn, :locale)),\n        validator_url: gbfs_validator_url()\n      )\n    )}\n  </p>\n  <% nb_errors = errors_count(@validation) %>\n  {render(\"_errors_warnings_count.html\", nb_errors: nb_errors, nb_warnings: 0, locale: get_session(@conn, :locale))}\n  {render(\"_validate_gbfs_now.html\", conn: @conn, resource: @resource)}\n\n  <%= if nb_errors > 0 do %>\n    <p>\n      {raw(\n        dgettext(\n          \"validations\",\n          ~s(See <a href=\"%{report_url}\" target=\"_blank\">the validation report</a> online.),\n          report_url: gbfs_validation_link(@resource)\n        )\n      )}\n    </p>\n\n    {render(\"_on_demand_validation_hint.html\", conn: @conn, resource: @resource)}\n  <% end %>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_validation_report_gtfs_rt.html.heex",
    "content": "<% locale = get_session(@conn, :locale)\nvalidation_result = @validation.result || %{} %>\n<div class=\"panel\">\n  <% errors = Map.get(validation_result, \"errors\", []) %>\n  <% errors_error_level = errors |> Enum.filter(&(Map.fetch!(&1, \"severity\") == \"ERROR\")) %>\n  <% errors_warning_level = errors |> Enum.filter(&(Map.fetch!(&1, \"severity\") == \"WARNING\")) %>\n  <% id_mismatch_count =\n    errors\n    |> Enum.filter(&(Map.fetch!(&1, \"error_id\") in Transport.Validators.GTFSRT.id_mismatch_error_codes()))\n    |> Enum.sum_by(&Map.fetch!(&1, \"errors_count\")) %>\n  {render(\"_errors_warnings_count.html\",\n    nb_errors: errors_count(@validation),\n    nb_warnings: warnings_count(@validation),\n    locale: locale\n  )}\n  <p :if={id_mismatch_count >= 50} class=\"notification warning\">\n    {dgettext(\n      \"validations\",\n      \"Many validation errors indicate that the GTFS-RT identifiers do not match the GTFS identifiers.\"\n    )}\n  </p>\n  <p :if={Map.get(validation_result, \"ignore_shapes\", false)} class=\"notification\">\n    {dgettext(\"validations\", \"Shapes present in the GTFS have been ignored, some rules are not enforced.\")}\n  </p>\n  <p :if={validation_result != %{}}>\n    {raw(\n      dgettext(\n        \"validations\",\n        ~s(Validation carried out using the <a href=\"%{gtfs_link}\">current GTFS file</a> and the <a href=\"%{gtfs_rt_link}\">GTFS-RT</a> the %{date} using the <a href=\"%{validator_url}\" target=\"_blank\">MobilityData GTFS-RT validator</a>.),\n        gtfs_link: Map.fetch!(@validation.result[\"files\"], \"gtfs_permanent_url\"),\n        gtfs_rt_link: Map.fetch!(@validation.result[\"files\"], \"gtfs_rt_permanent_url\"),\n        date: DateTimeDisplay.format_datetime_to_paris(@validation.validation_timestamp, locale),\n        validator_url: gtfs_rt_validator_url()\n      )\n    )}\n  </p>\n  <%= unless Enum.empty?(errors_error_level) do %>\n    <h4>{dgettext(\"validations\", \"Errors\")}</h4>\n    {render(\"_gtfs_rt_errors_for_severity.html\",\n      errors_for_severity: errors_error_level,\n      locale: get_session(@conn, :locale)\n    )}\n  <% end %>\n  <%= unless Enum.empty?(errors_warning_level) do %>\n    <h4>{dgettext(\"validations\", \"Warnings\")}</h4>\n    {render(\"_gtfs_rt_errors_for_severity.html\",\n      errors_for_severity: errors_warning_level,\n      locale: get_session(@conn, :locale)\n    )}\n  <% end %>\n  {render(\"_validate_gtfs_rt_now.html\", conn: @conn, resource: @resource, validation: @validation)}\n  {render(\"_gtfs_rt_previous_validations_details.html\",\n    latest_validations_details: @latest_validations_details,\n    locale: get_session(@conn, :locale)\n  )}\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_validation_report_mobilitydata_gtfs.html.heex",
    "content": "<div class={assigns[:div_class] || \"panel\"}>\n  {render(\"_errors_warnings_count.html\",\n    nb_errors: get_in(@validation.digest, [\"stats\", \"ERROR\"]) || 0,\n    nb_warnings: get_in(@validation.digest, [\"stats\", \"WARNING\"]) || 0,\n    locale: @locale\n  )}\n\n  <%= for {severity, notices} <- @validation.result[\"notices\"] |> Enum.group_by(& &1[\"severity\"]) |> Enum.sort_by(& elem(&1, 0) |> Transport.Validators.MobilityDataGTFSValidator.severity_level(), :asc) do %>\n    <h4>{error_label(severity)}</h4>\n    <%= for notice <- notices do %>\n      <% rule = notice[\"code\"] |> Transport.Validators.MobilityDataGTFSValidator.rule_for_code() %>\n      <div class=\"panel\">\n        <p class=\"mt-0 mb-0\">\n          <% nb_errors = notice[\"totalNotices\"] %>\n          <b lang=\"en\">{notice[\"code\"]}</b>\n          <span class=\"label\">\n            {\"#{format_number(nb_errors)} #{dpngettext(\"validations\", \"errors\", \"error\", \"errors\", nb_errors)}\"}\n          </span>\n        </p>\n        <p lang=\"en\">\n          {rule[\"shortSummary\"] |> markdown()}\n        </p>\n\n        <blockquote lang=\"en\">\n          {Regex.replace(~r/([^\\n])\\n([^\\n])/, rule[\"description\"] || \"\", \"\\\\1 \\\\2\") |> markdown()}\n        </blockquote>\n\n        <%= unless Enum.empty?(get_in(rule, [\"references\", \"fileReferences\"]) || []) do %>\n          <p>\n            {dgettext(\"validations\", \"Relevant files\")}\n          </p>\n          <ul>\n            <li :for={file <- get_in(rule, [\"references\", \"fileReferences\"])}>\n              <code>{file}</code>\n            </li>\n          </ul>\n        <% end %>\n\n        <%= unless Enum.empty?(get_in(rule, [\"references\", \"urlReferences\"]) || []) do %>\n          <p>\n            {dgettext(\"validations\", \"Relevant links\")}\n          </p>\n          <ul lang=\"en\">\n            <li :for={link <- get_in(rule, [\"references\", \"urlReferences\"])}>\n              {link(link[\"label\"], to: link[\"url\"])}\n            </li>\n          </ul>\n        <% end %>\n\n        <details>\n          <summary>{dgettext(\"validations\", \"Sample errors\")}</summary>\n          <% nb_sample_notices = Enum.count(notice[\"sampleNotices\"]) %>\n          <% sample_notices = Enum.take(notice[\"sampleNotices\"], max_display_errors()) %>\n          <table class=\"table\" lang=\"en\">\n            <% headers = sample_notices |> hd() |> Map.keys() %>\n            <tr>\n              <th :for={header <- headers}>{header}</th>\n            </tr>\n            <tr :for={notice <- sample_notices}>\n              <td :for={header <- headers}>{Map.get(notice, header) |> inspect()}</td>\n            </tr>\n          </table>\n          <p :if={nb_sample_notices > max_display_errors()} class=\"notification\">\n            {dgettext(\"validations\", \"Showing only the first %{nb} errors.\", nb: max_display_errors())}\n          </p>\n        </details>\n      </div>\n    <% end %>\n  <% end %>\n  <p>\n    {raw(\n      dgettext(\n        \"validations\",\n        ~s(Validation carried out using the <a href=\"%{link}\">current %{format} file</a> the %{date} using the <a href=\"%{validator_url}\" target=\"_blank\">%{validator_name}</a>.),\n        link: @file_url,\n        format: \"GTFS\",\n        date:\n          DateTimeDisplay.format_datetime_to_paris(\n            @validation.validation_timestamp,\n            @locale\n          ),\n        validator_url: mobilitydata_gtfs_validator_url(),\n        validator_name: dgettext(\"validations\", \"Canonical GTFS Schedule Validator\")\n      )\n    )}\n  </p>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_validation_report_schema.html.heex",
    "content": "<div class=\"panel\">\n  <p>\n    {raw(\n      dgettext(\"validations\", ~s(This resource should follow its schema %{link}.),\n        link: safe_to_string(link(@resource.schema_name, to: documentation_url(@resource), target: \"_blank\"))\n      )\n    )}\n  </p>\n  <%= unless is_nil(@validation) do %>\n    <% nb_errors = errors_count(@validation) %>\n    {render(\"_errors_warnings_count.html\", nb_errors: nb_errors, nb_warnings: 0, locale: get_session(@conn, :locale))}\n    <%= if nb_errors > 0 do %>\n      {render(\"_on_demand_validation_hint.html\", conn: @conn, resource: @resource)}\n      <p>{dgettext(\"validations\", \"Errors:\")}</p>\n      <% validation_schema_name = @validation.resource_history.payload[\"schema_name\"] %>\n      <% schema_type = schema_type(validation_schema_name) %>\n      <ul lang={if schema_type == \"jsonschema\", do: \"en\"}>\n        <%= for error <- errors_sample(@validation) do %>\n          <li>{error}</li>\n        <% end %>\n      </ul>\n      <%= if nb_errors > max_display_errors() do %>\n        <p class=\"notification\">\n          {dgettext(\"validations\", \"Showing only the first %{nb} errors.\", nb: max_display_errors())}\n          <%= if schema_type == \"tableschema\" do %>\n            {raw(\n              dgettext(\n                \"validations\",\n                ~s(See all your errors <a href=\"%{url}\" target=\"_blank\">using the web interface</a>.),\n                url: validata_web_url(validation_schema_name)\n              )\n            )}\n          <% end %>\n        </p>\n      <% end %>\n    <% end %>\n  <% end %>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/_validation_summary.html.heex",
    "content": "<div id=\"issues\" class=\"validation-navigation\">\n  <nav class=\"issues-list validation\" role=\"navigation\">\n    <%= for %{\"severity\" => severity, \"issues\" => issues} <- @validation_summary do %>\n      <%= if Map.get(@severities_count, severity, 0) > 0 do %>\n        <div class=\"validation-issue\">\n          <h4>{@results_adapter.format_severity(severity, @severities_count[severity])}</h4>\n          <ul>\n            <%= for %{\"key\" => key, \"issue\" => issue} <- issues do %>\n              <li>\n                <%= if issue[\"count\"] > 0 do %>\n                  {link(\n                    \"#{issue[\"title\"]} (#{issue[\"count\"]})\",\n                    to:\n                      \"#{current_url(@conn, %{\"issue_type\" => key, \"token\" => @token} |> Map.reject(fn {_, v} -> is_nil(v) end))}#issues\",\n                    class: if(key == @results_adapter.issue_type(@issues.entries), do: \"active\")\n                  )}\n                <% end %>\n              </li>\n            <% end %>\n          </ul>\n        </div>\n      <% end %>\n    <% end %>\n  </nav>\n</div>\n\n<%= unless is_nil(@data_vis) do %>\n  <div class=\"panel p-6 full-width\">\n    <div id=\"map\" class=\"leaflet-map\"></div>\n    <script src={static_path(@conn, \"/js/validationmap.js\")}>\n    </script>\n    <script>\n      document.addEventListener(\"DOMContentLoaded\", function() {\n      createValidationMap('map', <%= raw(@data_vis) %>)\n      })\n    </script>\n  </div>\n<% end %>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/details.html.heex",
    "content": "{render(\"_search_bar.html\", conn: @conn)}\n<div class=\"dataset-page\">\n  <div class=\"dataset-menu-container\">\n    <nav class=\"dataset-menu\">\n      <div class=\"menu-item\"><a href=\"#details\">{dgettext(\"validations\", \"Resource details\")}</a></div>\n      <div class=\"menu-item\">\n        <a href=\"#download-availability\">{dgettext(\"page-dataset-details\", \"Download availability\")}</a>\n      </div>\n      <div :if={not DB.Resource.documentation?(@resource)} class=\"menu-item\">\n        <a href=\"#validation-report\">{dgettext(\"validations\", \"Validation report\")}</a>\n      </div>\n      <div :if={geojson_with_viz?(@resource, @resource_history)} class=\"menu-item\">\n        <a href=\"#visualization\">{dgettext(\"validations\", \"Visualization\")}</a>\n      </div>\n      <div :if={DB.Resource.gtfs_rt?(@resource)} class=\"menu-item\">\n        <a href=\"#gtfs-rt\">{dgettext(\"page-dataset-details\", \"GTFS-RT feed content\")}</a>\n      </div>\n    </nav>\n  </div>\n  <div class=\"dataset-infos\">\n    <h2 id=\"details\">{dgettext(\"validations\", \"Resource details\")}</h2>\n    <div class=\"panel\">\n      {render(\"_resource_description.html\", conn: @conn, resource: @resource, resource_history: @resource_history)}\n      <%= if Transport.Validators.MobilityDataGTFSValidator.mine?(@validation) do %>\n        {render(\"_mobilitydata_metadata.html\", conn: @conn, validation: @validation)}\n      <% end %>\n    </div>\n\n    <%= unless Enum.empty?(@resource.resources_related) do %>\n      {render(\"_related_resources.html\", resource: @resource, conn: @conn)}\n    <% end %>\n\n    <h2 id=\"download-availability\">{dgettext(\"page-dataset-details\", \"Download availability\")}</h2>\n    {render(\"_download_availability.html\", uptime_per_day: @uptime_per_day, conn: @conn)}\n\n    <%= unless is_nil(DB.Resource.requestor_ref(@resource)) do %>\n      {render(\"_requestor_ref.html\", resource: @resource, conn: @conn)}\n    <% end %>\n\n    <%= unless DB.Resource.documentation?(@resource) do %>\n      {render(\"_validation_report.html\",\n        resource: @resource,\n        validation: @validation,\n        latest_validations_details: @latest_validations_details,\n        conn: @conn\n      )}\n    <% end %>\n\n    <%= if geojson_with_viz?(@resource, @resource_history) do %>\n      <h2 class=\"mt-48\" id=\"visualization\">{dgettext(\"validations\", \"Visualization\")}</h2>\n      <div class=\"panel no-padding\">\n        <div id=\"resource-geojson-info\" class=\"p-24\"></div>\n        <div id=\"resource-geojson\"></div>\n        <script src={static_path(@conn, \"/js/mapgeojson.js\")}>\n        </script>\n        <script>\n          document.addEventListener(\"DOMContentLoaded\", function() {\n            GenericGeojsonMap(\n              'resource-geojson',\n              'resource-geojson-info',\n              \"<%= Map.fetch!(@resource_history.payload, \"permanent_url\") %>\",\n              \"<%= Map.fetch!(@resource_history.payload, \"filesize\") %>\",\n              \"<%= dgettext(\"validations\", \"Visualization is quite big\") %>\",\n              \"<%= dgettext(\"validations\", \"Show anyway\") %>\"\n              )\n            })\n        </script>\n      </div>\n    <% end %>\n\n    <%= if DB.Resource.gtfs_rt?(@resource) do %>\n      {render(\"_gtfs_rt.html\",\n        gtfs_rt_feed: @gtfs_rt_feed,\n        conn: @conn,\n        locale: get_session(@conn, :locale),\n        entities_seen_recently: @gtfs_rt_entities\n      )}\n    <% end %>\n  </div>\n  <div class=\"dataset-metas\"></div>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/gtfs_details.html.heex",
    "content": "<% associated_geojson = get_associated_geojson(@related_files)\nlocale = get_session(@conn, :locale) %>\n{render(\"_search_bar.html\", conn: @conn)}\n<div class=\"dataset-page\">\n  <div class=\"dataset-menu-container\">\n    <nav class=\"dataset-menu\">\n      <div class=\"menu-item\"><a href=\"#details\">{dgettext(\"validations\", \"Resource details\")}</a></div>\n      <div class=\"menu-item\">\n        <a href=\"#download-availability\">{dgettext(\"page-dataset-details\", \"Download availability\")}</a>\n      </div>\n      <div :if={not is_nil(associated_geojson)} class=\"menu-item\">\n        <a href=\"#visualization\">{dgettext(\"validations\", \"Stops and routes visualization of the GTFS file\")}</a>\n      </div>\n      <div class=\"menu-item\"><a href=\"#validation-report\">{dgettext(\"validations\", \"Validation report\")}</a></div>\n      <div :if={length(@other_resources) > 0} class=\"menu-item\">\n        <a href=\"#other-resources\">{dgettext(\"validations\", \"Other resources\")}</a>\n      </div>\n    </nav>\n  </div>\n  <div class=\"dataset-infos\">\n    <h2 id=\"details\">{dgettext(\"validations\", \"Resource details\")}</h2>\n    <div class=\"panel\">\n      {render(\"_resource_description.html\", conn: @conn, resource: @resource, resource_history: @resource_history)}\n      {render(\"_resources_details_gtfs.html\", conn: @conn, metadata: @metadata, modes: @modes)}\n    </div>\n\n    <%= unless Enum.empty?(@resource.resources_related) do %>\n      {render(\"_related_resources.html\", resource: @resource, conn: @conn)}\n    <% end %>\n\n    <h2 id=\"download-availability\">{dgettext(\"page-dataset-details\", \"Download availability\")}</h2>\n    {render(\"_download_availability.html\", uptime_per_day: @uptime_per_day, conn: @conn)}\n\n    <%= unless is_nil(associated_geojson) do %>\n      <h2 class=\"mt-48\" id=\"visualization\">\n        {dgettext(\"validations\", \"Stops and routes visualization of the GTFS file\")}\n      </h2>\n      {render(\"_geojson.html\", associated_geojson: associated_geojson, conn: @conn)}\n    <% end %>\n    <h2 id=\"validation-report\" class=\"mt-48\">{dgettext(\"validations\", \"Validation report\")}</h2>\n    <div class=\"panel\" id=\"issues\">\n      <%= if is_nil(@validation_summary) do %>\n        {dgettext(\"validations\", \"No validation available\")}\n      <% end %>\n      <%= unless is_nil(@validation_summary) do %>\n        <%= if @issues.total_entries == 0 do %>\n          {dgettext(\"validations\", \"No validation error\")}.\n        <% else %>\n          <nav class=\"issues-list validation\" role=\"navigation\">\n            {render(\"_validation_summary.html\",\n              validation_summary: @validation_summary,\n              severities_count: @severities_count,\n              issues: @issues,\n              conn: @conn,\n              data_vis: @data_vis,\n              token: nil,\n              results_adapter: @validator\n            )}\n          </nav>\n          <div class=\"main-pane\">\n            {pagination_links(@conn, @issues, [@resource.id],\n              issue_type: Transport.Validators.GTFSTransport.issue_type(@issues.entries),\n              path: &resource_path/4,\n              action: :details\n            )}\n            {render(gtfs_template(@issues), issues: @issues || [], conn: @conn)}\n          </div>\n        <% end %>\n        <p>\n          {raw(\n            dgettext(\n              \"validations\",\n              ~s(Validation carried out using the <a href=\"%{link}\">current %{format} file</a> the %{date} using the <a href=\"%{validator_url}\" target=\"_blank\">%{validator_name}</a>.),\n              link: Map.fetch!(@validation.resource_history.payload, \"permanent_url\"),\n              format: \"GTFS\",\n              date:\n                DateTimeDisplay.format_datetime_to_paris(\n                  @validation.validation_timestamp,\n                  locale\n                ),\n              validator_url: gtfs_validator_url(),\n              validator_name: dgettext(\"validations\", \"PAN GTFS validator\")\n            )\n          )}\n        </p>\n      <% end %>\n    </div>\n    <%= if length(@other_resources) > 0 do %>\n      <h2 id=\"other-resources\">{dgettext(\"validations\", \"Other resources\")}</h2>\n      <div class=\"panel\">\n        <ul>\n          <%= for resource <- @other_resources do %>\n            <li>\n              {link(resource.title,\n                to: resource_path(@conn, :details, resource.id)\n              )}\n            </li>\n          <% end %>\n        </ul>\n      </div>\n    <% end %>\n  </div>\n  <div class=\"dataset-metas\"></div>\n</div>\n<script src={static_path(@conn, \"/js/utils.js\")} />\n<script>\n  document.addEventListener(\"DOMContentLoaded\", function() {\n    addSeeMore(\"5em\",\n      \".networks-start-end\",\n      \"<%= dgettext(\"page-dataset-details\", \"Display more\") %>\",\n      \"<%= dgettext(\"page-dataset-details\", \"Display less\") %>\",\n      \"gtfs_dates_per_network\"\n    )\n  })\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/resource/netex_details.html.heex",
    "content": "<% associated_geojson = get_associated_geojson(@related_files) %>\n{render(\"_search_bar.html\", conn: @conn)}\n<div class=\"dataset-page netex\">\n  <div class=\"dataset-menu-container\">\n    <nav class=\"dataset-menu\">\n      <div class=\"menu-item\"><a href=\"#details\">{dgettext(\"validations\", \"Resource details\")}</a></div>\n      <div class=\"menu-item\">\n        <a href=\"#download-availability\">{dgettext(\"page-dataset-details\", \"Download availability\")}</a>\n      </div>\n      <div :if={not is_nil(associated_geojson)} class=\"menu-item\">\n        <a href=\"#visualization\">{dgettext(\"validations\", \"Stops and routes visualization of the NeTEx file\")}</a>\n      </div>\n      <div :if={not DB.Resource.documentation?(@resource)} class=\"menu-item\">\n        <a href=\"#validation-report\">{dgettext(\"validations\", \"Validation report\")}</a>\n      </div>\n      <div :if={length(@other_resources) > 0} class=\"menu-item\">\n        <a href=\"#other-resources\">{dgettext(\"validations\", \"Other resources\")}</a>\n      </div>\n    </nav>\n  </div>\n  <div class=\"dataset-infos\">\n    <h2 id=\"details\">\n      {dgettext(\"validations\", \"Resource details\")}\n    </h2>\n    <div class=\"panel\">\n      {render(\"_resource_description.html\", conn: @conn, resource: @resource, resource_history: @resource_history)}\n      <%= unless is_nil(@metadata) or @metadata == %{} do %>\n        {render(\"_resources_details_netex.html\", conn: @conn, metadata: @metadata)}\n      <% end %>\n    </div>\n\n    <%= unless Enum.empty?(@resource.resources_related) do %>\n      {render(\"_related_resources.html\", resource: @resource, conn: @conn)}\n    <% end %>\n\n    <h2 id=\"download-availability\">{dgettext(\"page-dataset-details\", \"Download availability\")}</h2>\n    {render(\"_download_availability.html\", uptime_per_day: @uptime_per_day, conn: @conn)}\n\n    <%= unless is_nil(associated_geojson) do %>\n      <h2 class=\"mt-48\" id=\"visualization\">\n        {dgettext(\"validations\", \"Stops and routes visualization of the NeTEx file\")}\n      </h2>\n      {render(\"_geojson.html\", associated_geojson: associated_geojson, conn: @conn)}\n    <% end %>\n\n    <h2 id=\"validation-report\" class=\"mt-48\">{dgettext(\"validations\", \"Validation report\")}</h2>\n    <div class=\"panel\" id=\"issues\">\n      <%= if is_nil(@validation_summary) do %>\n        {dgettext(\"validations\", \"No validation available\")}\n      <% else %>\n        {render(@errors_template,\n          conn: @conn,\n          issues: @issues,\n          metadata: @metadata,\n          resource: @resource,\n          severities_count: @severities_count,\n          validation_summary: @validation_summary,\n          results_adapter: @results_adapter,\n          max_severity: @max_severity,\n          filter: @filter,\n          validation_report_url: @validation_report_url,\n          xsd_errors: @xsd_errors\n        )}\n        <div class=\"issues-footer\">\n          <%= unless is_nil(@metadata) or @metadata == %{} do %>\n            {render(\"_resources_netex_validation_details.html\", conn: @conn, metadata: @metadata)}\n          <% end %>\n          <p>\n            {raw(\n              dgettext(\n                \"validations\",\n                ~s(Validation carried out using the <a href=\"%{link}\">current %{format} file</a> the %{date} using the <a href=\"%{validator_url}\" target=\"_blank\">%{validator_name}</a>.),\n                link: Map.fetch!(@validation.resource_history.payload, \"permanent_url\"),\n                format: \"NeTEx\",\n                date:\n                  DateTimeDisplay.format_datetime_to_paris(\n                    @validation.validation_timestamp,\n                    get_session(@conn, :locale)\n                  ),\n                validator_url: netex_validator_url(),\n                validator_name: dgettext(\"validations\", \"enRoute Chouette Valid\")\n              )\n            )}\n          </p>\n        </div>\n      <% end %>\n    </div>\n    <%= if length(@other_resources) > 0 do %>\n      <h2 id=\"other-resources\">{dgettext(\"validations\", \"Other resources\")}</h2>\n      <div class=\"panel\">\n        <ul>\n          <li :for={resource <- @other_resources}>\n            {link(resource.title, to: resource_path(@conn, :details, resource.id))}\n          </li>\n        </ul>\n      </div>\n    <% end %>\n  </div>\n  <div class=\"dataset-metas\"></div>\n</div>\n<script src={static_path(@conn, \"/js/utils.js\")} />\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/reuse/index.html.heex",
    "content": "<div class=\"container\">\n  <div class=\"cards\">\n    <h1>{dgettext(\"reuses\", \"Declared reuses\")}</h1>\n    <p>\n      {raw(dgettext(\"reuses\", \"index-intro\", url: reuser_space_path(@conn, :espace_reutilisateur)))}\n      {link(dgettext(\"reuses\", \"Publish a reuse\"),\n        to: \"https://guides.data.gouv.fr/guide-data.gouv.fr/reutilisations/publier-une-reutilisation\",\n        target: \"_blank\"\n      )}\n    </p>\n\n    <%= form_for @conn, reuse_path(@conn, :index), [id: \"reuses_search_container\", method: \"get\"], fn f -> %>\n      {select(\n        f,\n        :type,\n        Map.merge(\n          %{dgettext(\"reuses\", \"-- All --\") => \"\"},\n          DB.Dataset.type_to_str_map() |> Map.new(fn {k, v} -> {v, k} end)\n        )\n      )}\n      {search_input(f, :q,\n        id: \"reuses_search\",\n        value: @q,\n        placeholder: dgettext(\"reuses\", \"Find reuses\")\n      )}\n      <button type=\"submit\" class=\"button reuses_search_button\">\n        <i class=\"fa fa-search\"></i>\n      </button>\n    <% end %>\n\n    <%= for reuses <- Enum.chunk_every(@reuses, 4) do %>\n      <div class=\"row pt-24\">\n        <%= for reuse <- reuses do %>\n          <div class=\"card\">\n            <div class=\"card__cover\">\n              <img src={reuse.image} alt=\"{reuse.title}\" />\n            </div>\n            <div class=\"card__content\">\n              <h3>{link(reuse.title, to: reuse.url, target: \"_blank\")}</h3>\n              <div class=\"card__meta\">\n                <time>{Shared.DateTimeDisplay.format_date(reuse.created_at, get_session(@conn, :locale))}</time>\n                <span :if={reuse.organization != nil}>\n                  {link(reuse.organization,\n                    to: \"https://www.data.gouv.fr/organizations/#{reuse.organization_id}\",\n                    target: \"_blank\"\n                  )}\n                </span>\n                <span :if={reuse.owner != nil}>{reuse.owner}</span>\n              </div>\n              <p>\n                {DB.Reuse.type_to_str(reuse.type)} &middot; {reuse.metric_datasets} {dngettext(\n                  \"reuses\",\n                  \"dataset\",\n                  \"datasets\",\n                  reuse.metric_datasets\n                )}\n              </p>\n            </div>\n            <div :if={Enum.count(reuse.tags) > 0} class=\"card__extra\">\n              <%= for tag <- Enum.take(reuse.tags, 5) do %>\n                <span class=\"label\">{tag}</span>\n              <% end %>\n            </div>\n          </div>\n        <% end %>\n      </div>\n    <% end %>\n  </div>\n\n  <div class=\"pt-24\">\n    {pagination_links(@conn, @reuses)}\n  </div>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/reuser_space/datasets_edit.html.heex",
    "content": "<section class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :datasets_edit, @dataset.custom_title])}\n</section>\n<section class=\"reuser-space-section pb-48\">\n  <div class=\"container pt-24\">\n    <h2 class=\"mb-0\">{@dataset.custom_title}</h2>\n    <div class=\"align-right pb-24\">\n      <a href=\"#modal\" class=\"button warning\">\n        <i class=\"icon fas fa-trash\"></i>\n        {dgettext(\"reuser-space\", \"Remove from favorites\")}\n      </a>\n    </div>\n    <div class=\"panel\">\n      <h3>{dgettext(\"reuser-space\", \"Manage notifications\")}</h3>\n      {live_render(@conn, TransportWeb.Live.DatasetNotificationsLive, session: %{\"dataset_id\" => @dataset.id})}\n    </div>\n    <div id=\"data-sharing\" class=\"panel\">\n      <h3>{dgettext(\"reuser-space\", \"Improved data sharing\")}</h3>\n      <%= if @eligible_to_data_sharing_pilot do %>\n        <% [organization] = @eligible_organizations %>\n        <%= if is_nil(@existing_improved_data) do %>\n          <div class=\"align-right\">\n            <img src={organization.logo_thumbnail} title={organization.name} />\n          </div>\n          <%= form_for @conn, reuser_space_path(@conn, :add_improved_data, @dataset.id), [class: \"full-width\"], fn f -> %>\n            <h4>\n              {dgettext(\"reuser-space\", \"Step 1: choose the initial resource from the producer\")}\n            </h4>\n            <div class=\"ressources-list\">\n              <%= for resource <- @dataset.resources |> Enum.filter(&DB.Resource.gtfs?/1) do %>\n                <div class=\"panel resource\">\n                  <h4>\n                    {radio_button(f, :resource_id, resource.id, id: \"resource-#{resource.id}\", required: true)}\n                    <%= label f, resource.id, class: \"label-inline\", for: \"resource-#{resource.id}\" do %>\n                      {resource.title}\n                    <% end %>\n                  </h4>\n\n                  <div class=\"resource-panel-bottom\">\n                    <div class=\"resource-actions\">\n                      <div class=\"resource-format\" title={dgettext(\"page-dataset-details\", \"resource format\")}>\n                        <span class=\"label\">{resource.format}</span>\n                      </div>\n                    </div>\n                  </div>\n                </div>\n              <% end %>\n            </div>\n            <p class=\"small\">\n              {dgettext(\"reuser-space\", \"Only GTFS files are eligible for now.\")}\n            </p>\n            <div class=\"form__group\">\n              <h4>\n                {dgettext(\"reuser-space\", \"Step 2: add the URL to download your improved data\")}\n              </h4>\n              {label(f, :download_url, dgettext(\"reuser-space\", \"Your improved data URL\"))}\n              {text_input(f, :download_url, type: \"url\", required: true)}\n            </div>\n            {hidden_input(f, :organization_id, value: organization.id)}\n            {submit(dgettext(\"reuser-space\", \"Share improved data\"), class: \"button\")}\n          <% end %>\n        <% else %>\n          <p class=\"notification\">\n            {dgettext(\"reuser-space\", \"You already shared improved data for this dataset, thanks!\")}\n          </p>\n        <% end %>\n      <% else %>\n        <p class=\"notification\">\n          {dgettext(\"reuser-space\", \"This feature is coming soon!\")}\n        </p>\n      <% end %>\n    </div>\n    <div class=\"panel\">\n      <h3>{dgettext(\"reuser-space\", \"Discussions\")}</h3>\n      <p class=\"notification\">\n        {dgettext(\"reuser-space\", \"This feature is coming soon!\")}\n      </p>\n    </div>\n    <div class=\"modal__backdrop\" id=\"modal\">\n      <div class=\"modal\">\n        <p>\n          {dgettext(\n            \"reuser-space\",\n            ~s|Warning, you are going to remove \"%{dataset_title}\" from your favorites. You will lose any settings or actions you previously performed on this dataset.|,\n            dataset_title: @dataset.custom_title\n          )}\n        </p>\n        <%= form_for %{}, reuser_space_path(@conn, :unfavorite, @dataset.id), [class: \"no-margin\", method: \"post\"], fn _ -> %>\n          <div class=\"form__group button__group\">\n            <button\n              class=\"button warning\"\n              type=\"submit\"\n              data-tracking-category=\"reuser_space\"\n              data-tracking-action=\"confirm_unfavorite_dataset\"\n            >\n              <i class=\"icon fas fa-trash\"></i>\n              {dgettext(\"reuser-space\", \"Remove from favorites\")}\n            </button>\n            <a\n              href=\"#\"\n              class=\"button secondary\"\n              data-tracking-category=\"reuser_space\"\n              data-tracking-action=\"abort_unfavorite_dataset\"\n            >\n              {dgettext(\"reuser-space\", \"Cancel\")}\n            </a>\n          </div>\n        <% end %>\n      </div>\n    </div>\n  </div>\n</section>\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"reuser_space\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/reuser_space/index.html.heex",
    "content": "<div class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :reuser_space])}\n</div>\n<section class=\"section section-grey reuser-space\">\n  <div class=\"container\">\n    <h1>{dgettext(\"reuser-space\", \"Reuser space\")}</h1>\n    <p>\n      {dgettext(\"reuser-space\", \"reuser-space-intro\")}\n    </p>\n\n    <h2>{dgettext(\"reuser-space\", \"Available services\")}</h2>\n    <div class=\"row pb-48\">\n      <div class=\"panel action-panel\">\n        <h4>\n          <img\n            class=\"picto\"\n            src={static_path(@conn, \"/images/reutilisateurs/picto-bell.svg\")}\n            alt={dgettext(\"reuser-space\", \"Notification bell\")}\n          />\n          {dgettext(\"reuser-space\", \"Receive notifications\")}\n        </h4>\n        <div class=\"action-panel-content\">\n          <div class=\"action-text\">\n            {dgettext(\n              \"reuser-space\",\n              \"Receive helpful notifications about your favorite datasets.\"\n            )}\n          </div>\n          <div class=\"action-button\">\n            <a href={reuser_space_path(@conn, :notifications)} class=\"button\">\n              {dgettext(\"reuser-space\", \"Manage notifications\")}\n            </a>\n          </div>\n        </div>\n      </div>\n      <div class=\"panel action-panel\">\n        <h4>\n          <img\n            class=\"picto\"\n            src={static_path(@conn, \"/images/reutilisateurs/reuses.svg\")}\n            alt={dgettext(\"reuser-space\", \"Reuses\")}\n          />{dgettext(\"reuser-space\", \"Declare your reuses\")}\n        </h4>\n        <div class=\"action-panel-content\">\n          <div class=\"action-text\">\n            {dgettext(\n              \"reuser-space\",\n              \"Highlight your reuses and make yourself known.\"\n            )}\n          </div>\n          <div class=\"action-button\">\n            <a href=\"https://www.data.gouv.fr/admin/reuses/new/\" target=\"_blank\" class=\"button\">\n              {dgettext(\"reuser-space\", \"Declare a reuse\")}\n            </a>\n          </div>\n        </div>\n      </div>\n      <div class=\"panel action-panel\">\n        <h4>\n          <img\n            class=\"picto\"\n            src={static_path(@conn, \"/images/reutilisateurs/gear.svg\")}\n            alt={dgettext(\"reuser-space\", \"Settings\")}\n          />{dgettext(\"reuser-space\", \"API - Manage your tokens\")}\n        </h4>\n        <div class=\"action-panel-content\">\n          <div class=\"action-text\">\n            {dgettext(\n              \"reuser-space\",\n              \"Create and manage your tokens independently.\"\n            )}\n          </div>\n          <div class=\"action-button\">\n            <a href={reuser_space_path(@conn, :settings)} class=\"button\">\n              {dgettext(\"reuser-space\", \"Manage your tokens\")}\n            </a>\n          </div>\n        </div>\n      </div>\n    </div>\n\n    {render(TransportWeb.EspaceProducteurView, \"_important_information.html\",\n      datasets: @conn.assigns[:followed_datasets],\n      checks: @checks,\n      conn: @conn,\n      mode: :reuser,\n      hidden_alerts: @hidden_alerts\n    )}\n\n    <h2 class=\"pt-48\">{dgettext(\"reuser-space\", \"Favorite datasets\")}</h2>\n    {live_render(@conn, TransportWeb.Live.UserSpaceDatasetsLive,\n      session: %{\"dataset_ids\" => @followed_datasets_ids, \"mode\" => :reuser}\n    )}\n  </div>\n</section>\n<div class=\"tramway\">\n  <img src={static_path(@conn, \"/images/producteurs/tramway.svg\")} alt=\"\" />\n</div>\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"reuser_space\"}\n  )}\n</section>\n<script nonce={get_session(@conn, :csp_nonce_value)}>\n  document.querySelectorAll('.action-panel h4').forEach(header => {\n    header.addEventListener('click', () => {\n      const allContents = document.querySelectorAll('.action-panel-content');\n      allContents.forEach(content => {\n        content.classList.toggle('hide');\n      });\n    });\n  });\n</script>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/reuser_space/new_token.html.heex",
    "content": "<section class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :new_token])}\n</section>\n<section class=\"reuser-space-section pb-48\">\n  <div class=\"container pt-24\">\n    <div class=\"panel\">\n      <h2>{dgettext(\"reuser-space\", \"Create a new token\")}</h2>\n\n      <%= if Enum.empty?(@organizations) do %>\n        <p class=\"notification error\">\n          {dgettext(\"reuser-space\", \"You need to be a member of an organisation to create new tokens.\")}\n        </p>\n\n        <p>\n          {raw(\n            dgettext(\n              \"reuser-space\",\n              ~s|You can create or join an organisation on data.gouv.fr. <a href=\"%{doc_url}\" target=\"_blank\">See the documentation</a>.|,\n              doc_url: \"https://guides.data.gouv.fr/guide-data.gouv.fr/organisation\"\n            )\n          )}\n        </p>\n      <% end %>\n\n      <div :if={Enum.count(@errors) > 0} class=\"notification error\">\n        <ul>\n          <%= for {key, {message, _}} <- @errors do %>\n            <% value = to_string(key) <> \": \" <> message %>\n            <li>{value}</li>\n          <% end %>\n        </ul>\n      </div>\n\n      <%= if Enum.count(@organizations) > 0 do %>\n        <%= form_for @conn, reuser_space_path(@conn, :new_token), [class: \"no-margin\"], fn f -> %>\n          <%= label do %>\n            {dgettext(\"reuser-space\", \"Token name\")} {text_input(f, :name, required: true)}\n            <p class=\"small\">{dgettext(\"reuser-space\", \"A name identifying the application using this token.\")}</p>\n          <% end %>\n\n          <%= label class: \"pt-12 pb-12\" do %>\n            {dgettext(\"reuser-space\", \"Organisation\")} {select(\n              f,\n              :organization_id,\n              Enum.map(@organizations, &{&1.name, &1.id})\n            )}\n            <p class=\"small\">\n              {raw(\n                dgettext(\n                  \"reuser-space\",\n                  ~s|You can create or join an organisation on data.gouv.fr. <a href=\"%{doc_url}\" target=\"_blank\">See the documentation</a>.|,\n                  doc_url: \"https://guides.data.gouv.fr/guide-data.gouv.fr/organisation\"\n                )\n              )}\n            </p>\n          <% end %>\n          {submit(dgettext(\"reuser-space\", \"Create\"))}\n        <% end %>\n      <% end %>\n    </div>\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/reuser_space/settings.html.heex",
    "content": "<section class=\"container pt-48 pb-24\">\n  {breadcrumbs([@conn, :settings])}\n</section>\n<section class=\"reuser-space-section pb-48\">\n  <div class=\"container pt-24\">\n    <h1>{dgettext(\"reuser-space\", \"Settings\")}</h1>\n    <div class=\"panel\">\n      <h2>{dgettext(\"reuser-space\", \"Tokens\")}</h2>\n      <p :if={Enum.empty?(@tokens)} class=\"notification\">\n        {dgettext(\"reuser-space\", \"There are no tokens yet.\")}\n      </p>\n      <table :if={Enum.count(@tokens) > 0} class=\"table small-padding\">\n        <thead>\n          <tr>\n            <th>{dgettext(\"reuser-space\", \"Organisation\")}</th>\n            <th>{dgettext(\"reuser-space\", \"Name\")}</th>\n            <th>{dgettext(\"reuser-space\", \"Secret\")}</th>\n            <th>{dgettext(\"reuser-space\", \"Actions\")}</th>\n          </tr>\n        </thead>\n        <tbody>\n          <%= for token <- @tokens |> Enum.sort_by(& {get_in(&1.organization.name), &1.name}) |> Enum.sort_by(& default_for_contact?(&1, @contact), :desc) do %>\n            <tr>\n              <td :if={not DB.Token.personal_token?(token)}>{token.organization.name}</td>\n              <td :if={DB.Token.personal_token?(token)}>{dgettext(\"reuser-space\", \"Personal token\")}</td>\n              <td :if={default_for_contact?(token, @contact)}>\n                <b>{token.name} {dgettext(\"reuser-space\", \"(by default)\")}</b>\n              </td>\n              <td :if={!default_for_contact?(token, @contact)}>{token.name}</td>\n              <td><code>{token.secret}</code></td>\n              <td>\n                <%= if !default_for_contact?(token, @contact) do %>\n                  <%= form_for @conn, reuser_space_path(@conn, :default_token, token.id), [class: \"inline\"], fn _ -> %>\n                    <button class=\"small button-outline primary\">\n                      {dgettext(\"reuser-space\", \"Default token\")}\n                    </button>\n                  <% end %>\n                <% end %>\n                <%= form_for @conn, reuser_space_path(@conn, :delete_token, token.id), [class: \"inline\", method: \"delete\"], fn _ -> %>\n                  <button class=\"small button-outline warning\">\n                    <i class=\"fas fa-trash\"></i> {dgettext(\"reuser-space\", \"Delete\")}\n                  </button>\n                <% end %>\n              </td>\n            </tr>\n          <% end %>\n        </tbody>\n      </table>\n      <a href={reuser_space_path(@conn, :new_token)} class=\"button\">\n        <i class=\"fa fa-plus icon\"></i>\n        {dgettext(\"reuser-space\", \"Create a new token\")}\n      </a>\n      <h3>{dgettext(\"reuser-space\", \"Using tokens\")}</h3>\n      <p>\n        {raw(\n          dgettext(\n            \"reuser-space\",\n            ~s|Tokens can be used when using <a href=\"%{swagger_url}\" target=\"_blank\">the API</a>. The token should be included in the <code>Authorization</code> HTTP header. If your token is <code>foo</code>, you should send HTTP requests with the header <code>Authorization: foo</code>.|,\n            swagger_url: \"/swaggerui\"\n          )\n        )}\n      </p>\n    </div>\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/stats/_maps.html.heex",
    "content": "<div id={\"#{@prefix}_metropole\"} class=\"map\"></div>\n<div class=\"drom_maps\">\n  <%= for drom <- @droms do %>\n    <div id={\"#{@prefix}_#{drom}\"} class=\"drom_map\"></div>\n  <% end %>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/stats/index.html.heex",
    "content": "<div class=\"hero deployment\">\n  <div class=\"hero__container\">\n    <h1>Quelles données sont disponibles sur la plateforme ?</h1>\n  </div>\n</div>\n<section class=\"section section-grey stats\">\n  <div class=\"container\">\n    <div class=\"domain\">\n      <h2>État de l’ouverture des données en France</h2>\n      <p>Ce site est le Point d’Accès National aux données de transport (PAN).</p>\n      <p>\n        Retrouvez l’état de l’ouverture des données de transport (nombre de jeux de données ouverts et carte des territoires à avoir référencé des données en open data),\n        par mode de transport, et par la nature des données mises à disposition (statiques ou dynamiques, et par format).\n        Les informations transmises par ces cartes sont mises à jour en temps réel, en fonction des données référencées sur la plateforme transport.data.gouv.fr.\n        <p>\n          Nous publions également des informations sur le nombre de réutilisations faites des données mises à disposition sur la plateforme, ainsi que le nombre de réutilisateurs uniques (pouvant être auteurs de multiples réutilisations).\n        </p>\n      </p>\n      <div class=\"domain-stats general\">\n        <div class=\"tile\">\n          <h3>{format_number(@nb_datasets, locale: get_session(@conn, :locale))}</h3>\n          <div>Jeux de données ouverts</div>\n        </div>\n        <div class=\"tile\">\n          <h3>{format_number(@nb_reuses, locale: get_session(@conn, :locale))}</h3>\n          <div>Réutilisations déclarées</div>\n        </div>\n      </div>\n      <p>\n        <a href={page_path(@conn, :missions)}>Découvrez la politique publique mise en œuvre et nos missions</a>.\n      </p>\n    </div>\n    <div class=\"domain theorical\">\n      <h2>Transports en commun</h2>\n      <div class=\"domain-stats staticPTdata\">\n        {render(\"_maps.html\", droms: @droms, prefix: \"map_aoms\")}\n        <div class=\"panel\">\n          <div class=\"description\" id=\"public-transport-by-aom\">\n            <h3>Par territoire administatif</h3>\n            <span class=\"stat-link\">\n              <a href=\"#public-transport-by-aom\"><i class=\"fa fa-link fa-small\"></i></a>\n            </span>\n            <p>\n              L'offre de transport en commun, disponible par <acronym title=\"autorité organisatrice de mobilité\">AOM</acronym>.\n            </p>\n            <br />\n            <p>\n              Ces données peuvent être disponibles pour l'<acronym title=\"autorité organisatrice de mobilité\">AOM</acronym> spécifiquement, ou au sein d'un jeu de données plus large.\n            </p>\n            <br />\n            <p>\n              Les <acronym title=\"autorité organisatrice de mobilité\">AOM</acronym>\n              créées en 2022 suite à la\n              <a href=\"https://www.cerema.fr/fr/actualites/prise-competence-organisation-mobilites-communautes-communes\">\n                prise de la compétence d’organisation des mobilités par les communautés de communes\n              </a>\n              sont affichées dès lors que des données sont publiées.\n            </p>\n          </div>\n          <div class=\"tile\">\n            <h3>{@population_couverte}</h3>\n            millions\n            <div>de personnes peuvent en bénéficier\n              sur les {@population_totale} millions de Français·e·s vivant dans une AOM</div>\n          </div>\n        </div>\n      </div>\n    </div>\n    <div class=\"domain\">\n      <div class=\"domain-stats\">\n        {render(\"_maps.html\", droms: @droms, prefix: \"pt_format_map\")}\n        <div class=\"panel\">\n          <div class=\"description\">\n            <h3>Zoom sur les formats de données</h3>\n            <span class=\"stat-link\" id=\"public-transport-format\">\n              <a href=\"#public-transport-format\"><i class=\"fa fa-link fa-small\"></i></a>\n            </span>\n            <p>\n              Les données de transport en commun sont disponibles sur le site dans 2 formats,\n              <a href=\"/datasets?format=GTFS&type=public-transit\">GTFS</a>\n              et <a href=\"/datasets?format=NeTEx&type=public-transit\">NeTEx</a>.\n            </p>\n          </div>\n          <div class=\"tile-numbers\">\n            <div class=\"tile\">\n              <h3>{@nb_gtfs}</h3>\n              <div>\n                <a href=\"/datasets?format=GTFS&type=public-transit\">jeux de données en <strong>GTFS</strong></a>\n              </div>\n            </div>\n            <div class=\"tile\">\n              <h3>{@nb_netex}</h3>\n              <div>\n                <a href=\"/datasets?format=NeTEx&type=public-transit\">jeux de données en <strong>NeTEx</strong></a>\n              </div>\n            </div>\n          </div>\n        </div>\n      </div>\n    </div>\n    <div class=\"domain quality\">\n      <div class=\"domain-stats\">\n        {render(\"_maps.html\", droms: @droms, prefix: \"rt_pt_format_map\")}\n        <div class=\"panel\">\n          <div class=\"tile\">\n            <h3>{format_number(@nb_gtfs_rt, locale: get_session(@conn, :locale))}</h3>\n            <div>\n              <a href=\"/datasets?format=gtfs-rt&type=public-transit\">\n                jeux de données<br />en <strong>GTFS-RT</strong>\n              </a>\n            </div>\n            <div>\n              <ul class=\"small\">\n                <%= for {type, count} <- @gtfs_rt_types do %>\n                  <li>\n                    <span title={type}>\n                      <a href={\"/datasets?features%5B%5D=\" <> type}>{friendly_gtfs_type(type)}</a>\n                    </span>\n                    : {format_number(count, locale: get_session(@conn, :locale))}\n                  </li>\n                <% end %>\n              </ul>\n            </div>\n          </div>\n          <div class=\"tile\">\n            <h3>{format_number(@nb_siri, locale: get_session(@conn, :locale))}</h3>\n            <div>\n              <a href=\"/datasets?format=SIRI&type=public-transit\">jeux de données<br />en <strong>SIRI</strong></a>\n            </div>\n          </div>\n          <div class=\"tile\">\n            <h3>{format_number(@nb_siri_lite, locale: get_session(@conn, :locale))}</h3>\n            <div>\n              <a href=\"/datasets?format=SIRI+Lite&type=public-transit\">\n                jeux de données<br />en <strong>SIRI Lite</strong>\n              </a>\n            </div>\n          </div>\n        </div>\n      </div>\n    </div>\n    <div class=\"domain\">\n      <div class=\"domain-stats\">\n        {render(\"_maps.html\", droms: @droms, prefix: \"pt_up_to_date\")}\n        <div class=\"panel\">\n          <div class=\"description\" id=\"public-transport-freshness\">\n            <h3>Zoom sur la fraicheur des données</h3>\n            <span class=\"stat-link\">\n              <a href=\"#public-transport-freshness\"><i class=\"fa fa-link fa-small\"></i></a>\n            </span>\n            <p>\n              Les données GTFS et NeTEx de la plateforme sont analysées pour connaitre leur periode de validité,\n              qui correspond à la période de circulation des différents services du jeu de données.\n            </p>\n            <br />\n            <p>\n              Note : on ne peut calculer une période de validité que pour les jeux de données respectants les spécifications GTFS ou NeTEx.\n            </p>\n          </div>\n        </div>\n      </div>\n    </div>\n    <div class=\"domain quality\">\n      <div class=\"domain-stats\">\n        {render(\"_maps.html\", droms: @droms, prefix: \"pt_quality\")}\n        <div class=\"panel\">\n          <div class=\"description\" id=\"public-transport-quality\">\n            <h3>Zoom sur la qualité des données</h3>\n            <span class=\"stat-link\">\n              <a href=\"#public-transport-quality\"><i class=\"fa fa-link fa-small\"></i></a>\n            </span>\n            <p>\n              Cette carte représente la qualité des données GTFS et NeTEx actuellement valides.\n            </p>\n            <p>\n              Pour contrôler la qualité des jeux de données de transport, la plateforme transport.data.gouv.fr utilise des outils de validation.\n            </p>\n            <p>\n              Retrouvez plus d'informations sur ces outils dans la <a href=\"https://doc.transport.data.gouv.fr/outils/outils-disponibles-sur-le-pan/validateurs\">documentation</a>.\n            </p>\n          </div>\n          <div class=\"tile\">\n            <h3>{round(@ratio_aom_with_at_most_warnings * 100)}%</h3>\n            <div>\n              <acronym title=\"autorité organisatrice de mobilité\">AOM</acronym> avec des jeux de données de\n              qualité satisfaisante (sans aucune erreur)\n            </div>\n          </div>\n          <div class=\"tile\">\n            <h3>{round(@ratio_aom_good_quality * 100)}%</h3>\n            <div>\n              <acronym title=\"autorité organisatrice de mobilité\">AOM</acronym>\n              avec des jeux de données de bonne qualité\n              (sans erreurs ni avertissements)\n            </div>\n          </div>\n          <div class=\"tile\">\n            <h3>{@aom_with_errors}</h3>\n            <div>\n              <acronym title=\"autorité organisatrice de mobilité\">AOM</acronym> avec des jeux de données en erreur\n            </div>\n          </div>\n          <div class=\"tile\">\n            <h3>{@aom_with_fatal}</h3>\n            <div>\n              <acronym title=\"autorité organisatrice de mobilité\">AOM</acronym>\n              avec des jeux de données ne respectant pas les spécifications GTFS ou NeTEx\n            </div>\n          </div>\n        </div>\n      </div>\n    </div>\n    <div class=\"domain vehicles\" id=\"real-time-vehicles\">\n      <h2>Véhicules libre service</h2>\n      <div class=\"domain-stats\">\n        {render(\"_maps.html\", droms: @droms, prefix: \"vehicles_map\")}\n        <div class=\"panel\">\n          <div class=\"description\">\n            <span class=\"stat-link\">\n              <a href=\"#real-time-vehicles\"><i class=\"fa fa-link fa-small\"></i></a>\n            </span>\n            <p>\n              La plateforme transport.data.gouv.fr référence des données de disponibilité en temps réel de véhicules en libre service (VLS) au format <a href=\"https://github.com/MobilityData/gbfs\">GBFS</a>. Le GBFS est le standard ouvert pour les VLS et des services en free-floating.\n              Les données, mises à jour en continu, permettent de connaître :\n              <ul>\n                <li>La liste des stations du réseau (géolocalisation, nom, adresse, identifiant)</li>\n                <li>L’état des stations (nombre de véhicules disponibles et emplacements libres)</li>\n                <li>La liste des véhicules accessibles en libre-service sans station</li>\n                <li>Les zones faisant l’objet de restrictions de circulation, de stationnement ou de vitesse</li>\n              </ul>\n              Plus d’informations sur les données temps réel de véhicules en libre service sont disponibles dans la <a href=\"https://doc.transport.data.gouv.fr/producteurs/velos-en-libre-service\">documentation</a>.\n            </p>\n          </div>\n          <div class=\"tile-numbers\">\n            <div class=\"tile\">\n              <h3>{@nb_vehicles_sharing_datasets}</h3>\n              <div><a href=\"/datasets?type=vehicles-sharing\">Jeux de données disponibles</a></div>\n            </div>\n            <div class=\"rt-viz\">\n              <%= for _i <- 1..@nb_vehicles_sharing_datasets//1 do %>\n                <div class=\"item standard\"></div>\n              <% end %>\n            </div>\n          </div>\n        </div>\n      </div>\n    </div>\n    {live_render(@conn, TransportWeb.ProxyRequestsCountLive)}\n  </div>\n</section>\n<script src={static_path(@conn, \"/js/map.js\")} />\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/stats/metabase_dashboard.html.heex",
    "content": "<div class=\"container\">\n  <script defer src=\"https://metabase.transport.data.gouv.fr/app/embed.js\">\n  </script>\n  <script>\n    function defineMetabaseConfig(config) {\n      window.metabaseConfig = config;\n    }\n  </script>\n  <script>\n    defineMetabaseConfig({\n      theme: { preset: \"light\" },\n      isGuest: true,\n      instanceUrl: \"https://metabase.transport.data.gouv.fr\"\n    });\n  </script>\n\n  <div id=\"fullscreen-wrapper\">\n    <button id=\"enter-fullscreen\"><i class=\"fa fa-expand\"></i>{gettext(\"Fullscreen display\")}</button>\n    <button id=\"exit-fullscreen\"><i class=\"fa fa-compress\"></i>{gettext(\"Leave fullscreen display\")}</button>\n    <metabase-dashboard class=\"dashboard\" token={@metabase_token} with-title=\"true\" with-downloads=\"true\">\n    </metabase-dashboard>\n  </div>\n  <script src={static_path(@conn, \"/js/fullscreen_wrapper.js\")}>\n  </script>\n</div>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/validation/expired.html.heex",
    "content": "<section>\n  <div class=\"container\">\n    <div class=\"validation-title\">\n      <h2>{dgettext(\"validations\", \"Validation results\")}</h2>\n      <p>\n        {dgettext(\"validations\", \"This report can be shared with\")}\n        {link(dgettext(\"validations\", \"this permanent link\"), to: current_url(@conn))}\n        {dgettext(\"validations\", \"during %{retention_days} days\",\n          retention_days: Transport.Jobs.CleanOnDemandValidationJob.retention_days()\n        )}.\n      </p>\n      <p class=\"small\">\n        {dgettext(\"validations\", \"Validation performed at %{date}.\",\n          date:\n            Shared.DateTimeDisplay.format_datetime_to_paris(\n              @validation.validation_timestamp,\n              get_session(@conn, :locale)\n            )\n        )}\n      </p>\n    </div>\n  </div>\n\n  <div class=\"validation-content\">\n    <div class=\"container\">\n      <p class=\"notification warning\">\n        {dgettext(\"validations\", \"This validation is now expired. Results cannot be accessed anymore.\")}\n      </p>\n    </div>\n  </div>\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/validation/show_gtfs.html.heex",
    "content": "<section>\n  <div class=\"container\">\n    <div class=\"validation-title\">\n      <h2>{dgettext(\"validations\", \"GTFS review report\")}</h2>\n      <p>\n        {dgettext(\"validations\", \"explanations-gtfs\")}\n      </p>\n      <p>\n        {dgettext(\"validations\", \"This report can be shared with\")}\n        {link(dgettext(\"validations\", \"this permanent link\"), to: current_url(@conn))}\n        {dgettext(\"validations\", \"during %{retention_days} days\",\n          retention_days: Transport.Jobs.CleanOnDemandValidationJob.retention_days()\n        )}.\n      </p>\n    </div>\n  </div>\n\n  <div class=\"validation-content\">\n    <div class=\"container\">\n      <%= unless is_nil(@metadata) do %>\n        <div class=\"panel validation-metadata\">\n          {render(\"_resources_details_gtfs.html\", metadata: @metadata, conn: @conn, modes: @modes)}\n        </div>\n      <% end %>\n\n      <%= if has_errors?(@validation_summary) do %>\n        {render(\"_validation_summary.html\",\n          validation_summary: @validation_summary,\n          severities_count: @severities_count,\n          conn: @conn,\n          issues: @issues,\n          data_vis: @data_vis,\n          token: @token,\n          results_adapter: @validator\n        )}\n      <% end %>\n\n      <div class=\"validation-content-details\">\n        <div class=\"panel\">\n          <%= if has_errors?(@validation_summary) do %>\n            {pagination_links(@conn, @issues, [@validation_id],\n              issue_type: @validator.issue_type(@issues.entries),\n              token: @token,\n              path: &validation_path/4,\n              action: :show\n            )}\n            {render(gtfs_template(@issues), issues: @issues || [], conn: @conn)}\n            <div class=\"pt-24\">\n              {pagination_links(@conn, @issues, [@validation_id],\n                issue_type: @validator.issue_type(@issues.entries),\n                token: @token,\n                path: &validation_path/4,\n                action: :show\n              )}\n            </div>\n          <% else %>\n            <h2>{dgettext(\"validations\", \"Nice work, there are no issues!\")}</h2>\n          <% end %>\n        </div>\n      </div>\n    </div>\n  </div>\n</section>\n\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive, session: %{\"feature\" => \"on_demand_validation\"})}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/validation/show_irve_statique.html.heex",
    "content": "<section>\n  <div class=\"container\">\n    <div class=\"validation-title\">\n      <h2>{dgettext(\"validations\", \"IRVE Statique validation report\")}</h2>\n      <p>\n        {dgettext(\"validations\", \"Validation file\")}: <b>{@filename}</b>\n      </p>\n      <p class=\"notification\">\n        {dgettext(\"validations\", \"This validation now uses our integrated IRVE Statique validator.\")}\n        {\" \"}\n        {raw(\n          dgettext(\n            \"validations\",\n            ~s(You can still use the previous <a href=\"%{url}\" target=\"_blank\">Validata validator</a>.),\n            url: \"https://validata.fr/table-schema?schema_name=schema-datagouvfr.etalab%2Fschema-irve-statique\"\n          )\n        )}\n      </p>\n    </div>\n  </div>\n\n  <div class=\"validation-content\">\n    <div class=\"container\">\n      <div class=\"panel\">\n        <p>\n          <b>\n            <%= if @summary.valid do %>\n              <span class=\"icon--validation\">✅</span>{dgettext(\"validations\", \"No error detected\")}\n            <% else %>\n              <span class=\"icon--validation\">❌</span>{dgettext(\"validations\", \"Invalid file\")}\n            <% end %>\n          </b>\n        </p>\n\n        <%= if is_nil(@summary.total_row_count) do %>\n          <p>{dgettext(\"validations\", \"Could not validate file rows because of file-level errors.\")}</p>\n        <% else %>\n          <ul>\n            <li>\n              {dgettext(\"validations\", \"Total rows\")}: {@summary.total_row_count}\n            </li>\n            <li>\n              {dgettext(\"validations\", \"Valid rows\")}: {@summary.valid_row_count}\n            </li>\n            <li>\n              {dgettext(\"validations\", \"Invalid rows\")}: {@summary.invalid_row_count}\n            </li>\n          </ul>\n        <% end %>\n\n        <%= unless Enum.empty?(@summary.file_level_errors) do %>\n          <h4>{dgettext(\"validations\", \"File-level errors\")}</h4>\n          <ul>\n            <li :for={error <- @summary.file_level_errors}>{error}</li>\n          </ul>\n        <% end %>\n\n        <%= unless Enum.empty?(@summary.column_errors) do %>\n          <h4>{dgettext(\"validations\", \"Errors by column\")}</h4>\n          <table class=\"table\">\n            <thead>\n              <tr>\n                <th>{dgettext(\"validations\", \"Column\")}</th>\n                <th>{dgettext(\"validations\", \"Invalid rows\")}</th>\n              </tr>\n            </thead>\n            <tbody>\n              <tr :for={{column, error_count} <- Enum.sort_by(@summary.column_errors, &elem(&1, 0))}>\n                <td>{column}</td>\n                <td>{error_count}</td>\n              </tr>\n            </tbody>\n          </table>\n        <% end %>\n\n        <%= unless Enum.empty?(@summary.error_samples) do %>\n          <h4>{dgettext(\"validations\", \"Error samples\")}</h4>\n          <table class=\"table\">\n            <thead>\n              <tr>\n                <th>id_pdc_itinerance</th>\n                <th>{dgettext(\"validations\", \"Column\")}</th>\n                <th>{dgettext(\"validations\", \"Value\")}</th>\n              </tr>\n            </thead>\n            <tbody>\n              <tr :for={sample <- @summary.error_samples}>\n                <td>{sample.id_pdc_itinerance}</td>\n                <td>{sample.column}</td>\n                <td>{sample.value}</td>\n              </tr>\n            </tbody>\n          </table>\n        <% end %>\n      </div>\n    </div>\n  </div>\n</section>\n\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive,\n    id: \"feedback-form\",\n    session: %{\"feature\" => \"on_demand_validation\"}\n  )}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/validation/show_netex_v0_1_0.html.heex",
    "content": "<section>\n  <div class=\"container\">\n    <div class=\"validation-title\">\n      <h2>{dgettext(\"validations\", \"NeTEx review report\")}</h2>\n      <p>\n        {dgettext(\"validations\", \"explanations-netex\")}\n      </p>\n      <p>\n        {dgettext(\"validations\", \"This report can be shared with\")}\n        {link(dgettext(\"validations\", \"this permanent link\"), to: current_url(@conn))}\n        {dgettext(\"validations\", \"during %{retention_days} days\",\n          retention_days: Transport.Jobs.CleanOnDemandValidationJob.retention_days()\n        )}.\n      </p>\n    </div>\n\n    <%= unless is_nil(@metadata) or @metadata == %{} do %>\n      {render(\"_resources_details_netex.html\", metadata: @metadata, conn: @conn)}\n    <% end %>\n  </div>\n\n  <div class=\"validation-content\">\n    <div class=\"container\">\n      <p class=\"notification warning\">\n        <strong>{dgettext(\"validations\", \"NeTEx validation is in beta.\")}</strong> <br />\n      </p>\n\n      <%= if has_errors?(@validation_summary) do %>\n        {render(\"_validation_summary.html\",\n          validation_summary: @validation_summary,\n          severities_count: @severities_count,\n          conn: @conn,\n          issues: @issues,\n          token: @token,\n          results_adapter: @results_adapter,\n          data_vis: nil\n        )}\n      <% end %>\n\n      <div class=\"validation-content-details\">\n        <div class=\"panel\">\n          <%= if has_errors?(@validation_summary) do %>\n            <% pagination =\n              pagination_links(@conn, @issues, [@validation_id],\n                issue_type: @filter[\"issue_type\"],\n                token: @token,\n                path: &validation_path/4,\n                action: :show\n              ) %>\n            {pagination}\n            {render(netex_template(), issues: @issues || [], conn: @conn)}\n            <div class=\"pt-24\">{pagination}</div>\n          <% else %>\n            <h2>{dgettext(\"validations\", \"Nice work, there are no issues!\")}</h2>\n          <% end %>\n        </div>\n      </div>\n    </div>\n  </div>\n</section>\n\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive, session: %{\"feature\" => \"on_demand_validation\"})}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/templates/validation/show_netex_v0_2_x.html.heex",
    "content": "<section class=\"netex\">\n  <div class=\"container\">\n    <div class=\"validation-title\">\n      <.netex_validation_report_title validation_report_url={@validation_report_url}>\n        <h2>{dgettext(\"validations\", \"NeTEx review report\")}</h2>\n      </.netex_validation_report_title>\n\n      <p>\n        {dgettext(\"validations\", \"explanations-netex\")}\n      </p>\n      <p>\n        {dgettext(\"validations\", \"This report can be shared with\")}\n        {link(dgettext(\"validations\", \"this permanent link\"), to: current_url(@conn))}\n        {dgettext(\"validations\", \"during %{retention_days} days\",\n          retention_days: Transport.Jobs.CleanOnDemandValidationJob.retention_days()\n        )}.\n      </p>\n    </div>\n\n    <%= unless is_nil(@metadata) or @metadata == %{} do %>\n      {render(\"_resources_details_netex.html\", metadata: @metadata, conn: @conn)}\n    <% end %>\n  </div>\n\n  <div id=\"validation-report\" class=\"validation-content\">\n    <div id=\"issues\" class=\"container\">\n      <% current_category = @filter[\"issues_category\"] || \"xsd-schema\" %>\n      <.netex_validation_report_content\n        conn={@conn}\n        current_category={current_category}\n        xsd_errors={@xsd_errors}\n        issues={@issues}\n        results_adapter={@results_adapter}\n        validation_report_url={@validation_report_url}\n        validation_summary={@validation_summary}\n        pagination={netex_pagination_links(@conn, @issues, @validation_id, current_category)}\n      />\n    </div>\n  </div>\n</section>\n\n<section class=\"section section-white\">\n  {live_render(@conn, TransportWeb.Live.FeedbackLive, session: %{\"feature\" => \"on_demand_validation\"})}\n</section>\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/aoms_view.ex",
    "content": "defmodule TransportWeb.AOMSView do\n  use TransportWeb, :view\n\n  def format_bool(nil), do: \"\"\n  def format_bool(true), do: \"✅\"\n  def format_bool(false), do: \"❌\"\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/atom_view.ex",
    "content": "defmodule TransportWeb.AtomView do\n  use TransportWeb, :view\n  import Helpers\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/backoffice/breaking_news_view.ex",
    "content": "defmodule TransportWeb.Backoffice.BreakingNewsView do\n  use TransportWeb, :view\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/backoffice/broken_urls_view.ex",
    "content": "defmodule TransportWeb.Backoffice.BrokenUrlsView do\n  use TransportWeb, :view\n  import Shared.DateTimeDisplay, only: [format_datetime_to_paris: 2]\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/backoffice/contact_view.ex",
    "content": "defmodule TransportWeb.Backoffice.ContactView do\n  use TransportWeb, :view\n  import Shared.DateTimeDisplay, only: [format_datetime_to_paris: 2]\n  import TransportWeb.BreadCrumbs, only: [breadcrumbs: 1]\n  import TransportWeb.Backoffice.PageView, only: [unaccent: 1]\n  alias TransportWeb.PaginationHelpers\n\n  def pagination_links(conn, contacts) do\n    kwargs = [path: &backoffice_contact_path/3] |> add_filter(conn.params)\n\n    PaginationHelpers.pagination_links(conn, contacts, kwargs)\n  end\n\n  @spec role_class(DB.Notification.t() | DB.NotificationSubscription.t()) :: binary()\n  defp role_class(%{role: :producer}), do: \"label\"\n  defp role_class(%{role: :reuser}), do: \"label label--inactive\"\n\n  defp dataset_title(%DB.Dataset{custom_title: custom_title, type: type, is_hidden: false}) do\n    \"#{custom_title} (#{type})\"\n  end\n\n  defp dataset_title(%DB.Dataset{custom_title: custom_title, type: type, is_hidden: true}) do\n    \"#{custom_title} (#{type}) — masqué\"\n  end\n\n  defp notification_subscriptions_with_dataset(records) do\n    records\n    |> Enum.reject(&is_nil(&1.dataset_id))\n    |> Enum.sort_by(&{&1.dataset.custom_title, &1.reason})\n    |> Enum.group_by(& &1.dataset)\n  end\n\n  defp notification_subscriptions_without_dataset(records) do\n    records\n    |> Enum.filter(&is_nil(&1.dataset_id))\n    |> Enum.sort_by(& &1.reason)\n  end\n\n  @spec add_filter(list, map) :: list\n  defp add_filter(kwargs, params) do\n    params\n    |> Map.take([\"q\"])\n    |> Enum.map(fn {key, value} -> {String.to_existing_atom(key), value} end)\n    |> Enum.concat(kwargs)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/backoffice/dashboard_view.ex",
    "content": "defmodule TransportWeb.Backoffice.DashboardView do\n  use TransportWeb, :view\n\n  @spec cell_class({boolean(), boolean()}) :: binary()\n  def cell_class({_import_count = 0, _success_count}), do: \"no_import\"\n\n  def cell_class({import_count, _success_count = 0}) when import_count > 0, do: \"only_failures\"\n\n  def cell_class({import_count, success_count}) when import_count != success_count, do: \"some_failures\"\n\n  def cell_class({import_count, success_count}) when import_count == success_count, do: \"only_successes\"\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/backoffice/page_view.ex",
    "content": "defmodule TransportWeb.Backoffice.PageView do\n  use TransportWeb, :view\n  alias DB.Dataset\n  alias Plug.Conn.Query\n  alias TransportWeb.PaginationHelpers\n\n  def pagination_links(conn, datasets) do\n    kwargs = [path: &backoffice_page_path/3] |> add_filter(conn.params)\n\n    PaginationHelpers.pagination_links(conn, datasets, kwargs)\n  end\n\n  @spec add_filter(list, map) :: list\n  defp add_filter(kwargs, params) do\n    params\n    # filter allowed keys\n    |> Map.take([\"filter\", \"q\", \"order_by\", \"dir\"])\n    |> Enum.map(fn {key, value} -> {String.to_existing_atom(key), value} end)\n    |> Enum.concat(kwargs)\n  end\n\n  @spec backoffice_sort_link(Plug.Conn.t(), String.t(), atom, %{field: atom, direction: atom}) ::\n          any\n  def backoffice_sort_link(conn, text, order_by, current_order) do\n    dir =\n      case current_order.field == order_by do\n        false ->\n          :asc\n\n        true ->\n          case current_order.direction do\n            :asc -> :desc\n            _ -> :asc\n          end\n      end\n\n    params =\n      conn.query_params\n      |> Map.put(\"order_by\", order_by)\n      |> Map.put(\"dir\", dir)\n\n    full_url =\n      conn.request_path\n      |> URI.parse()\n      |> Map.put(:query, Query.encode(params))\n      |> URI.to_string()\n      |> Kernel.<>(\"#backoffice-datasets-table\")\n\n    sort_arrow = get_arrow(current_order.field == order_by, current_order.direction)\n    link(raw(\"#{text} #{sort_arrow}\"), to: full_url)\n  end\n\n  @spec get_arrow(boolean, atom) :: <<_::64, _::_*8>>\n  defp get_arrow(column_is_sorted, direction) do\n    case {column_is_sorted, direction} do\n      {false, _} ->\n        \"<i class=\\\"sort-icon fa fa-sort\\\"></i>\"\n\n      {true, :asc} ->\n        \"<i class=\\\"sort-icon fa fa-sort-down\\\"></i>\"\n\n      {true, :desc} ->\n        \"<i class=\\\"sort-icon fa fa-sort-up\\\"></i>\"\n    end\n  end\n\n  @doc \"\"\"\n  Replaces accented letters by their regular versions.\n  Taken from https://stackoverflow.com/a/68724296\n\n  iex> unaccent(\"Et Ça sera sa moitié.\")\n  \"Et Ca sera sa moitie.\"\n  iex> unaccent(nil)\n  \"\"\n  \"\"\"\n  @spec unaccent(nil | binary()) :: binary()\n  def unaccent(nil), do: \"\"\n\n  def unaccent(value) when is_binary(value) do\n    ~r/\\p{Mn}/u\n    |> Regex.replace(value |> :unicode.characters_to_nfd_binary(), \"\")\n    |> :unicode.characters_to_nfc_binary()\n  end\n\n  def notification_subscription_contact(%DB.NotificationSubscription{contact: %DB.Contact{} = contact}) do\n    \"#{DB.Contact.display_name(contact)} — #{contact.job_title} (#{contact.organization})\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/bread_crumbs.ex",
    "content": "defmodule TransportWeb.BreadCrumbs do\n  @moduledoc \"\"\"\n  A module for creating breadcrumbs\n  \"\"\"\n  use TransportWeb, :view\n\n  def breadcrumbs(args) do\n    __MODULE__\n    |> apply(:crumbs, args)\n    |> render_crumbs\n  end\n\n  def crumbs(conn, :espace_producteur) do\n    [{dgettext(\"espace-producteurs\", \"Producer space\"), espace_producteur_path(conn, :espace_producteur)}]\n  end\n\n  def crumbs(conn, :reuser_space) do\n    [{dgettext(\"reuser-space\", \"Reuser space\"), reuser_space_path(conn, :espace_reutilisateur)}]\n  end\n\n  def crumbs(conn, :settings) do\n    crumbs(conn, :reuser_space) ++ [{dgettext(\"reuser-space\", \"Settings\"), reuser_space_path(conn, :settings)}]\n  end\n\n  def crumbs(conn, :new_token) do\n    crumbs(conn, :settings) ++ [{dgettext(\"reuser-space\", \"Create a new token\"), nil}]\n  end\n\n  def crumbs(conn, :contacts) do\n    [{\"Contacts\", backoffice_contact_path(conn, :index)}]\n  end\n\n  def crumbs(conn, :contacts_edit) do\n    crumbs(conn, :contacts) ++ [{\"Créer/éditer un contact\", nil}]\n  end\n\n  def crumbs(conn, :proxy_statistics) do\n    crumbs(conn, :espace_producteur) ++\n      [\n        {dgettext(\"espace-producteurs\", \"Transport proxy statistics\"), espace_producteur_path(conn, :proxy_statistics)}\n      ]\n  end\n\n  def crumbs(conn, :download_statistics) do\n    crumbs(conn, :espace_producteur) ++\n      [\n        {dgettext(\"espace-producteurs\", \"Download statistics\"), espace_producteur_path(conn, :download_statistics)}\n      ]\n  end\n\n  def crumbs(conn, :unanswered_discussions) do\n    crumbs(conn, :espace_producteur) ++\n      [\n        {dgettext(\"espace-producteurs\", \"Unanswered discussions\"), espace_producteur_path(conn, :discussions)}\n      ]\n  end\n\n  def crumbs(conn, :espace_producteur_notifications) do\n    crumbs(conn, :espace_producteur) ++\n      [\n        {dgettext(\"espace-producteurs\", \"Notifications settings\"), nil}\n      ]\n  end\n\n  def crumbs(conn, :reuser_space_notifications) do\n    crumbs(conn, :reuser_space) ++\n      [\n        {dgettext(\"espace-producteurs\", \"Notifications settings\"), nil}\n      ]\n  end\n\n  def crumbs(conn, :datasets_edit, dataset_custom_title) do\n    crumbs(conn, :reuser_space) ++ [{dataset_custom_title, nil}]\n  end\n\n  def crumbs(conn, :edit_dataset, dataset_custom_title, id) do\n    crumbs(conn, :espace_producteur) ++ [{dataset_custom_title, espace_producteur_path(conn, :edit_dataset, id)}]\n  end\n\n  def crumbs(conn, :delete_resource, dataset_custom_title, id) do\n    crumbs(conn, :edit_dataset, dataset_custom_title, id) ++\n      [{dgettext(\"espace-producteurs\", \"Delete a resource\"), nil}]\n  end\n\n  def crumbs(conn, :new_resource, dataset_custom_title, id) do\n    crumbs(conn, :edit_dataset, dataset_custom_title, id) ++\n      [{dgettext(\"espace-producteurs\", \"New resource\"), nil}]\n  end\n\n  def crumbs(conn, :update_resource, dataset_custom_title, id) do\n    crumbs(conn, :edit_dataset, dataset_custom_title, id) ++\n      [{dgettext(\"espace-producteurs\", \"Update a resource\"), nil}]\n  end\n\n  def crumbs(conn, :reuser_improved_data, dataset_custom_title, id, resource_title) do\n    crumbs(conn, :edit_dataset, dataset_custom_title, id) ++\n      [{resource_title, nil}]\n  end\n\n  def render_crumbs(crumbs_element) do\n    content_tag :div, class: \"breadcrumbs\" do\n      render_crumbs_elements(crumbs_element)\n    end\n  end\n\n  def render_crumb_element({text, link}, :list_element) do\n    content_tag(:li, link(text, to: link), class: \"breadcrumbs-element\")\n  end\n\n  # last element does not need a link\n  def render_crumb_element({text, _link}, :last_element) do\n    content_tag(:li, text, class: \"breadcrumbs-element\")\n  end\n\n  def render_crumbs_elements([element]) do\n    [render_crumb_element(element, :last_element)]\n  end\n\n  def render_crumbs_elements([head | tail]) do\n    List.flatten([render_crumb_element(head, :list_element), render_crumbs_elements(tail)])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/dataset_view.ex",
    "content": "defmodule TransportWeb.DatasetView do\n  use TransportWeb, :view\n  alias DB.{Dataset, Resource}\n  alias Plug.Conn.Query\n  alias TransportWeb.{MarkdownHandler, PaginationHelpers, Router.Helpers}\n  import Ecto.Query\n  import Phoenix.Controller, only: [current_path: 1, current_path: 2, current_url: 2]\n  # NOTE: ~H is defined in LiveView, but can actually be used from anywhere.\n  # ~H expects a variable named `assigns`, so wrapping the calls to `~H` inside\n  # a helper function would be cleaner and more future-proof to avoid conflicts at some point.\n  import Phoenix.Component, only: [sigil_H: 2, live_render: 3, assign: 3]\n  import DB.Dataset, only: [experimental?: 1]\n  import DB.MultiValidation, only: [get_metadata_info: 2, get_metadata_info: 3]\n  alias Shared.DateTimeDisplay\n  alias Transport.Validators.GTFSTransport\n  alias Transport.Validators.MobilityDataGTFSValidator\n\n  @gtfs_rt_validator_name Transport.Validators.GTFSRT.validator_name()\n\n  @doc \"\"\"\n  Count the number of resources, excluding:\n  - community resources\n  - resources with a `documentation` type.\n  \"\"\"\n  @spec count_resources(Dataset.t()) :: non_neg_integer\n  def count_resources(dataset) do\n    nb_official_resources = dataset |> official_available_resources() |> Enum.count()\n    nb_official_resources - count_documentation_resources(dataset)\n  end\n\n  @spec count_documentation_resources(Dataset.t()) :: non_neg_integer\n  def count_documentation_resources(dataset) do\n    dataset |> official_available_resources() |> Stream.filter(&Resource.documentation?/1) |> Enum.count()\n  end\n\n  @spec count_discussions(any) :: [45, ...] | non_neg_integer\n  @doc \"\"\"\n  Count the number of discussions if they are available\n  \"\"\"\n  def count_discussions(nil), do: ~c\"-\"\n  def count_discussions(discussions), do: Enum.count(discussions)\n\n  def pagination_links(%{path_info: [\"datasets\", \"region\", region]} = conn, datasets) do\n    kwargs = [path: &Helpers.dataset_path/4, action: :by_region] |> add_query_params(conn.query_params)\n\n    PaginationHelpers.pagination_links(\n      conn,\n      datasets,\n      [region],\n      kwargs\n    )\n  end\n\n  def pagination_links(%{path_info: [\"datasets\", \"epci\", epci]} = conn, datasets) do\n    kwargs = [path: &Helpers.dataset_path/4, action: :by_epci] |> add_query_params(conn.query_params)\n\n    PaginationHelpers.pagination_links(\n      conn,\n      datasets,\n      [epci],\n      kwargs\n    )\n  end\n\n  def pagination_links(conn, paginator) do\n    PaginationHelpers.pagination_links(conn, paginator)\n  end\n\n  def order_link(conn, order_by) do\n    msg =\n      %{\n        \"alpha\" => dgettext(\"page-shortlist\", \"Alphabetical\"),\n        \"most_recent\" => dgettext(\"page-shortlist\", \"Most recently added\")\n      }[order_by]\n\n    assigns = Plug.Conn.assign(conn, :msg, msg).assigns\n\n    case assigns do\n      %{order_by: ^order_by} -> ~H|<span class=\"activefilter\">{@msg}</span>|\n      _ -> link(msg, to: current_url(conn, Map.put(conn.query_params, \"order_by\", order_by)))\n    end\n  end\n\n  def licence_link(%Plug.Conn{} = conn, %{licence: \"all\", count: count}) do\n    assigns = Plug.Conn.assign(conn, :count, count).assigns\n\n    if Map.has_key?(conn.query_params, \"licence\") do\n      link(\"#{dgettext(\"page-shortlist\", \"All (feminine)\")} (#{count})\",\n        to: current_url(conn, Map.reject(conn.query_params, fn {k, _v} -> k == \"licence\" end))\n      )\n    else\n      ~H|<span class=\"activefilter\">{dgettext(\"page-shortlist\", \"All (feminine)\")} ({@count})</span>|\n    end\n  end\n\n  def licence_link(%Plug.Conn{} = conn, %{licence: licence, count: count}) when licence not in [\"fr-lo\", \"lov2\"] do\n    assigns = Plug.Conn.merge_assigns(conn, count: count, name: name = licence(%Dataset{licence: licence})).assigns\n\n    if Map.get(conn.query_params, \"licence\") == licence do\n      ~H|<span class=\"activefilter\">{@name} ({@count})</span>|\n    else\n      link(\"#{name} (#{count})\", to: current_url(conn, Map.put(conn.query_params, \"licence\", licence)))\n    end\n  end\n\n  def region_link(conn, %{nom: nom, count: count, insee: insee}) do\n    url =\n      case insee do\n        # This is for the \"All\" region\n        nil -> dataset_path(conn, :index)\n        _ -> dataset_path(conn, :by_region, insee)\n      end\n\n    params = conn.query_params\n    full_url = \"#{url}?#{Query.encode(params)}\"\n\n    assigns = Plug.Conn.merge_assigns(conn, count: count, nom: nom).assigns\n\n    case current_path(conn, %{}) do\n      ^url -> ~H|<span class=\"activefilter\">{@nom} ({@count})</span>|\n      _ -> link(\"#{nom} (#{count})\", to: full_url)\n    end\n  end\n\n  def legal_owners_links(conn, %DB.Dataset{legal_owners_aom: legal_owners_aom, legal_owners_region: legal_owners_region}) do\n    legal_owners_region\n    |> Enum.sort_by(& &1.nom)\n    |> Enum.concat(legal_owners_aom |> Enum.sort_by(& &1.nom))\n    |> Enum.map_join(\", \", fn owner ->\n      conn |> legal_owner_link(owner) |> safe_to_string()\n    end)\n    |> raw()\n  end\n\n  def legal_owner_link(conn, %DB.Region{nom: nom, insee: insee}) do\n    link(nom, to: dataset_path(conn, :by_region, insee))\n  end\n\n  def legal_owner_link(conn, %DB.AOM{nom: nom, siren: siren}) do\n    link(nom, to: dataset_path(conn, :by_epci, siren))\n  end\n\n  def type_link(conn, %{type: type, msg: msg, count: count}) do\n    link_by_key(conn, \"type\", %{key: type, msg: msg, count: count})\n  end\n\n  def subtype_link(conn, %{subtype: subtype, msg: msg, count: count}) do\n    link_by_key(conn, \"subtype\", %{key: subtype, msg: msg, count: count})\n  end\n\n  def format_link(conn, %{format: format, msg: msg, count: count}) do\n    link_by_key(conn, \"format\", %{key: format, msg: msg, count: count})\n  end\n\n  defp link_by_key(conn, key_name, %{key: key, msg: msg, count: count}) do\n    full_url =\n      case key do\n        nil -> current_url(conn, Map.delete(conn.query_params, key_name))\n        key -> current_url(conn, Map.put(conn.query_params, key_name, key))\n      end\n\n    link_text = \"#{msg} (#{count})\"\n    assigns = Plug.Conn.merge_assigns(conn, count: count, msg: msg).assigns\n    active_filter_text = ~H|<span class=\"activefilter\">{@msg} ({@count})</span>|\n\n    case conn.params do\n      %{^key_name => ^key} ->\n        active_filter_text\n\n      %{^key_name => _} ->\n        link(link_text, to: full_url)\n\n      _ ->\n        if is_nil(key) do\n          active_filter_text\n        else\n          link(link_text, to: full_url)\n        end\n    end\n  end\n\n  def real_time_link(conn, %{only_realtime: only_rt, msg: msg, count: count}) do\n    full_url =\n      case only_rt do\n        false -> current_url(conn, Map.delete(conn.query_params, \"filter\"))\n        true -> current_url(conn, Map.put(conn.query_params, \"filter\", \"has_realtime\"))\n      end\n\n    assigns = Plug.Conn.merge_assigns(conn, count: count, msg: msg).assigns\n\n    case {only_rt, Map.get(conn.query_params, \"filter\")} do\n      {false, \"has_realtime\"} -> link(\"#{msg} (#{count})\", to: full_url)\n      {true, nil} -> link(\"#{msg} (#{count})\", to: full_url)\n      _ -> ~H|<span class=\"activefilter\">{@msg} ({@count})</span>|\n    end\n  end\n\n  @doc \"\"\"\n  iex> DB.Dataset.types() |> Enum.map(&icon_type_path/1) |> Enum.filter(&is_nil/1)\n  []\n  \"\"\"\n  def icon_type_path(%{type: type}) do\n    # If you add an upcoming type be sure to add the black and the grey version.\n    # The upcoming (\"grey\") version should be named `<filename>-grey.svg`\n    icons = %{\n      \"public-transit\" => \"bus.svg\",\n      \"vehicles-sharing\" => \"vehicles-sharing.svg\",\n      \"bike-data\" => \"bike-data.svg\",\n      \"carpooling-areas\" => \"carpooling-areas.svg\",\n      \"carpooling-lines\" => \"carpooling-lines.svg\",\n      \"carpooling-offers\" => \"carpooling-offers.svg\",\n      \"charging-stations\" => \"charge-station.svg\",\n      \"road-data\" => \"roads.svg\",\n      \"informations\" => \"infos.svg\",\n      \"pedestrian-path\" => \"walk.svg\"\n    }\n\n    if Map.has_key?(icons, type), do: \"/images/icons/#{Map.get(icons, type)}\"\n  end\n\n  def icon_type_path(type) when is_binary(type), do: icon_type_path(%{type: type})\n\n  def upcoming_icon_type_path(type) when is_binary(type) do\n    String.replace(icon_type_path(type), \".svg\", \"-grey.svg\")\n  end\n\n  def display_all_types_links?(%{params: %{\"type\" => type}}) when not is_nil(type), do: true\n  def display_all_types_links?(_), do: false\n\n  defp add_query_params(kwargs, params) do\n    kwargs |> Keyword.merge(for {key, value} <- params, do: {String.to_atom(key), value})\n  end\n\n  def gbfs_documentation_link(version) when is_binary(version) do\n    \"https://github.com/MobilityData/gbfs/blob/v#{version}/gbfs.md\"\n  end\n\n  def gbfs_feed_source_for_ttl(types) do\n    feed_name = Transport.GBFSMetadata.feed_to_use_for_ttl(types)\n    if feed_name, do: feed_name, else: \"root\"\n  end\n\n  # For GTFS resources\n  @doc \"\"\"\n  iex> summary_class(%{severity: \"Error\"})\n  \"resource__summary--Error\"\n  iex> summary_class(%{severity: \"ERROR\"})\n  \"resource__summary--Error\"\n  \"\"\"\n  def summary_class(%{digest: %{\"max_severity\" => %{\"max_level\" => severity, \"worst_occurrences\" => count_errors}}}) do\n    summary_class(%{count_errors: count_errors, severity: severity})\n  end\n\n  def summary_class(%{count_errors: 0}), do: \"resource__summary--Success\"\n  def summary_class(%{severity: severity}), do: \"resource__summary--#{String.capitalize(severity)}\"\n\n  def summary_class(%DB.MultiValidation{digest: %{\"errors_count\" => errors_count}})\n      when is_integer(errors_count) and errors_count > 0 do\n    \"resource__summary--Error\"\n  end\n\n  def summary_class(%DB.MultiValidation{digest: %{\"warnings_count\" => warnings_count}})\n      when is_integer(warnings_count) and warnings_count > 0 do\n    \"resource__summary--Warning\"\n  end\n\n  def summary_class(%DB.MultiValidation{result: %{\"errors_count\" => errors_count}})\n      when is_integer(errors_count) and errors_count > 0 do\n    \"resource__summary--Error\"\n  end\n\n  def summary_class(%DB.MultiValidation{result: %{\"warnings_count\" => warnings_count}})\n      when is_integer(warnings_count) and warnings_count > 0 do\n    \"resource__summary--Warning\"\n  end\n\n  def summary_class(%DB.MultiValidation{}), do: \"resource__summary--Success\"\n\n  def warnings_count(%DB.MultiValidation{digest: %{\"warnings_count\" => warnings_count}})\n      when is_integer(warnings_count) and warnings_count >= 0,\n      do: warnings_count\n\n  def warnings_count(%DB.MultiValidation{result: %{\"warnings_count\" => warnings_count}})\n      when is_integer(warnings_count) and warnings_count >= 0,\n      do: warnings_count\n\n  def warnings_count(%DB.MultiValidation{validator: @gtfs_rt_validator_name}), do: 0\n  def warnings_count(%DB.MultiValidation{}), do: nil\n\n  def errors_count(%DB.MultiValidation{digest: %{\"errors_count\" => errors_count}})\n      when is_integer(errors_count) and errors_count >= 0,\n      do: errors_count\n\n  def errors_count(%DB.MultiValidation{result: %{\"errors_count\" => errors_count}})\n      when is_integer(errors_count) and errors_count >= 0,\n      do: errors_count\n\n  def errors_count(%DB.MultiValidation{}), do: nil\n\n  def availability_number_days, do: 30\n  def max_nb_history_resources, do: 25\n  def days_notifications_sent, do: 90\n\n  def availability_ratio_class(ratio) when ratio >= 0 and ratio <= 100 do\n    cond do\n      ratio >= 99 -> \"resource__summary--Success\"\n      ratio >= 95 -> \"resource__summary--Warning\"\n      true -> \"resource__summary--Error\"\n    end\n  end\n\n  @doc \"\"\"\n  iex> outdated_class(~D[2025-12-28], ~D[2025-12-31])\n  \"resource__summary--Error\"\n  iex> outdated_class(~D[2026-01-15], ~D[2025-12-31])\n  \"\"\n  iex> outdated_class(~D[2025-12-01], ~D[2025-12-31])\n  \"resource__summary--Error\"\n  iex> outdated_class(~D[2025-12-25], ~D[2025-12-25])\n  \"resource__summary--Error\"\n  iex> outdated_class(~D[2025-12-26], ~D[2025-12-25])\n  \"resource__summary--Warning\"\n  \"\"\"\n  def outdated_class(%Date{} = end_date, reference_date \\\\ Date.utc_today()) do\n    case Date.diff(end_date, reference_date) do\n      diff when diff <= 0 -> \"resource__summary--Error\"\n      diff when diff <= 7 -> \"resource__summary--Warning\"\n      _ -> \"\"\n    end\n  end\n\n  def validity_dates(assigns) do\n    ~H\"\"\"\n    <% start_date = get_validity_date(@multi_validation, \"start_date\") %>\n    <% end_date = get_validity_date(@multi_validation, \"end_date\") %>\n    <div :if={start_date && end_date} title={dgettext(\"page-dataset-details\", \"Validity period\")}>\n      <i class=\"icon icon--calendar-alt\" aria-hidden=\"true\"></i>\n      <span>{Shared.DateTimeDisplay.format_date(start_date, @locale)}</span>\n      <i class=\"icon icon--right-arrow ml-05-em\" aria-hidden=\"true\"></i>\n      <% end_date_date = end_date |> Date.from_iso8601!() %>\n      <span class={outdated_class(end_date_date)}>{Shared.DateTimeDisplay.format_date(end_date, @locale)}</span>\n    </div>\n    \"\"\"\n  end\n\n  def get_validity_date(multi_validation, key) do\n    multi_validation |> DB.MultiValidation.get_metadata_info(key) |> empty_to_nil()\n  end\n\n  def valid_panel_class(%DB.Resource{is_available: false}, _), do: \"invalid-resource-panel\"\n\n  def valid_panel_class(%DB.Resource{} = r, is_outdated) do\n    if (Resource.gtfs?(r) or Resource.netex?(r)) && is_outdated do\n      \"invalid-resource-panel\"\n    else\n      \"\"\n    end\n  end\n\n  def official_available_resources(dataset),\n    do:\n      dataset\n      |> Dataset.official_resources()\n      |> Enum.filter(fn r -> r.is_available end)\n\n  def gtfs_official_resources(dataset),\n    do:\n      dataset\n      |> official_available_resources()\n      |> Enum.filter(&Resource.gtfs?/1)\n\n  def unavailable_resources(dataset),\n    do:\n      dataset\n      |> Dataset.official_resources()\n      |> Enum.reject(fn r -> r.is_available end)\n\n  def real_time_official_resources(dataset),\n    do:\n      dataset\n      |> official_available_resources()\n      |> Enum.filter(&Resource.real_time?/1)\n\n  def netex_official_resources(dataset),\n    do:\n      dataset\n      |> official_available_resources()\n      |> Enum.filter(&Resource.netex?/1)\n\n  def schemas_resources(dataset) do\n    dataset\n    |> official_available_resources()\n    |> Enum.filter(&Resource.has_schema?/1)\n    |> Enum.sort_by(& &1.display_position)\n  end\n\n  def other_official_resources(dataset) do\n    dataset\n    |> official_available_resources()\n    |> Stream.reject(&Resource.gtfs?/1)\n    |> Stream.reject(&Resource.netex?/1)\n    |> Stream.reject(&Resource.real_time?/1)\n    |> Stream.reject(&Resource.documentation?/1)\n    |> Stream.reject(&Resource.has_schema?/1)\n    |> Enum.to_list()\n    |> Enum.sort_by(& &1.display_position)\n  end\n\n  def official_documentation_resources(dataset) do\n    dataset\n    |> official_available_resources()\n    |> Enum.filter(&Resource.documentation?/1)\n  end\n\n  def community_resources(dataset), do: Dataset.community_resources(dataset)\n\n  def licence_url(licence) when licence in [\"fr-lo\", \"lov2\"],\n    do: \"https://www.etalab.gouv.fr/licence-ouverte-open-licence/\"\n\n  def licence_url(\"odc-odbl\"), do: \"https://opendatacommons.org/licenses/odbl/1.0/\"\n\n  def licence_url(\"mobility-licence\"),\n    do: \"https://wiki.lafabriquedesmobilites.fr/wiki/Licence_Mobilités\"\n\n  def licence_url(_), do: nil\n\n  @spec description(Dataset.t() | Resource.t()) :: Phoenix.HTML.safe()\n  def description(%Dataset{description: description}), do: description |> markdown_to_safe_html!()\n  def description(%Resource{description: description}), do: description |> markdown_to_safe_html!()\n\n  def markdown_to_safe_html!(md), do: MarkdownHandler.markdown_to_safe_html!(md)\n\n  @doc \"\"\"\n  Builds a licence.\n\n  ## Examples\n\n  iex> licence(%Dataset{licence: \"fr-lo\"})\n  \"Licence Ouverte — version 1.0\"\n  iex> licence(%Dataset{licence: \"lov2\"})\n  \"Licence Ouverte — version 2.0\"\n  iex> licence(%Dataset{licence: \"Libertarian\"})\n  \"Libertarian\"\n  \"\"\"\n  @spec licence(Dataset.t()) :: String.t()\n  def licence(%Dataset{licence: licence}) do\n    case licence do\n      \"fr-lo\" -> dgettext(\"dataset\", \"fr-lo\")\n      \"licence-ouverte\" -> dgettext(\"dataset\", \"licence-ouverte\")\n      \"odc-odbl\" -> dgettext(\"dataset\", \"odc-odbl\")\n      \"other-open\" -> dgettext(\"dataset\", \"other-open\")\n      \"lov2\" -> dgettext(\"dataset\", \"lov2\")\n      \"notspecified\" -> dgettext(\"dataset\", \"notspecified\")\n      \"mobility-licence\" -> dgettext(\"dataset\", \"Mobility Licence\")\n      other -> other\n    end\n  end\n\n  @doc \"\"\"\n  Returns the resources that need to be displayed on a map\n  \"\"\"\n  @spec get_resource_to_display(Dataset.t()) :: Resource.t() | nil\n  def get_resource_to_display(%Dataset{type: type, resources: resources})\n      when type == \"carpooling-areas\" or type == \"private-parking\" or type == \"charging-stations\" do\n    resources\n    |> Enum.filter(fn r -> r.format == \"csv\" end)\n    |> Enum.reject(fn r -> Resource.community_resource?(r) or Resource.documentation?(r) end)\n    |> Enum.max_by(&{&1.type, &1.last_update}, TransportWeb.DatasetView.ResourceTypeSortKey, fn -> nil end)\n  end\n\n  def get_resource_to_display(%Dataset{type: \"vehicles-sharing\", resources: resources}) do\n    resources\n    |> Enum.filter(fn r -> r.format == \"gbfs\" or String.ends_with?(r.url, \"gbfs.json\") end)\n    |> Enum.reject(fn r ->\n      String.contains?(r.url, \"station_status\") or String.contains?(r.url, \"station_information\") or\n        Resource.community_resource?(r) or Resource.documentation?(r)\n    end)\n    |> Enum.max_by(& &1.last_update, DateTime, fn -> nil end)\n  end\n\n  def get_resource_to_display(%Dataset{type: \"road-data\", resources: resources}) do\n    resources\n    |> Enum.filter(fn r ->\n      r.schema_name == \"etalab/schema-zfe\" or r.format == \"geojson\" or\n        String.contains?(String.downcase(r.title), \"geojson\")\n    end)\n    # Display zones and not special roads\n    |> Enum.reject(fn r ->\n      String.contains?(r.url, \"voie\") or Resource.community_resource?(r) or Resource.documentation?(r)\n    end)\n    |> Enum.max_by(& &1.last_update, DateTime, fn -> nil end)\n  end\n\n  def get_resource_to_display(%Dataset{}), do: nil\n\n  def resource_tooltip_content(%DB.Resource{is_available: false}),\n    do: dgettext(\"dataset\", \"The resource is not available (maybe temporarily)\")\n\n  def resource_tooltip_content(%DB.Resource{}), do: nil\n\n  def resource_span_class(%DB.Resource{is_available: false}), do: \"span-unavailable\"\n  def resource_span_class(%DB.Resource{}), do: nil\n\n  def resource_class(false = _is_available, _), do: \"resource--unavailable\"\n  def resource_class(_, true = _is_outdated), do: \"resource--outdated\"\n  def resource_class(_, false = _is_outdated), do: \"resource--valid\"\n  def resource_class(_, _), do: \"\"\n\n  def order_resources_by_validity(resources, %{validations: validations}) do\n    Enum.sort_by(resources, &(validations |> Map.get(&1.id) |> hd() |> get_metadata_info(\"end_date\")), &>=/2)\n  end\n\n  def order_resources_by_format(resources) do\n    formats = resources |> Enum.map(& &1.format) |> MapSet.new()\n\n    if MapSet.equal?(formats, MapSet.new([\"GTFS\", \"NeTEx\"])) do\n      resources\n    else\n      resources |> Enum.sort_by(& &1.format, &>=/2)\n    end\n  end\n\n  def documentation_url(%Resource{schema_name: schema_name, schema_version: schema_version}) do\n    Transport.Schemas.documentation_url(schema_name, schema_version)\n  end\n\n  def schema_label(%{schema_name: schema_name, schema_version: schema_version}) when not is_nil(schema_version) do\n    \"#{schema_name} (#{schema_version})\"\n  end\n\n  def schema_label(%{schema_name: schema_name}), do: schema_name\n\n  def has_validity_period?(history_resources) when is_list(history_resources) do\n    history_resources |> Enum.map(&has_validity_period?/1) |> Enum.any?()\n  end\n\n  def has_validity_period?(%DB.ResourceHistory{} = resource_history) do\n    case validity_period(resource_history) do\n      %{\"start_date\" => start_date, \"end_date\" => end_date} when not is_nil(start_date) and not is_nil(end_date) -> true\n      _ -> false\n    end\n  end\n\n  def validity_period(%DB.ResourceHistory{\n        validations: [\n          %{metadata: %DB.ResourceMetadata{metadata: %{\"start_date\" => start_date, \"end_date\" => end_date}}}\n        ]\n      }) do\n    %{\"start_date\" => start_date, \"end_date\" => end_date}\n  end\n\n  def validity_period(_), do: %{}\n\n  def resource_last_update_span(assigns) do\n    assigns = assign(assigns, :real_time, Resource.real_time?(assigns.resource))\n\n    ~H\"\"\"\n    <span title={if @real_time, do: \"\", else: dgettext(\"page-dataset-details\", \"latest-content-modification-popover\")}>\n      <i class=\"icon icon--sync-alt\" aria-hidden=\"true\"></i>\n      {resource_last_update_date_or_string(@resources_updated_at, @resource, @locale, real_time: @real_time)}\n      <span :if={!@real_time} class=\"small\">\n        {dgettext(\"page-dataset-details\", \"latest-content-modification-label\")}\n      </span>\n    </span>\n    \"\"\"\n  end\n\n  def resource_last_update_date_or_string(_resources_updated_at, _resource, _locale, real_time: true) do\n    dgettext(\"page-dataset-details\", \"real-time\")\n  end\n\n  def resource_last_update_date_or_string(resources_updated_at, %DB.Resource{id: id} = _resource, locale,\n        real_time: false\n      ) do\n    resources_updated_at\n    |> Map.get(id)\n    |> case do\n      nil -> dgettext(\"page-dataset-details\", \"unknown\")\n      dt -> dt |> DateTimeDisplay.format_datetime_to_date(locale)\n    end\n  end\n\n  def publish_community_resource_url(%DB.Dataset{datagouv_id: datagouv_id}) do\n    :transport\n    |> Application.fetch_env!(:datagouvfr_site)\n    |> Path.join(\"/admin/community-resource/new/?dataset_id=#{datagouv_id}\")\n  end\n\n  def multi_validation_performed?(%DB.MultiValidation{result: %{\"validation_performed\" => false}}), do: false\n  def multi_validation_performed?(%DB.MultiValidation{}), do: true\n  def multi_validation_performed?(nil), do: false\n\n  @doc \"\"\"\n  Determines if we should display OSM community guidelines for a dataset.\n\n  ## Examples\n\n  iex> display_odbl_osm_conditions?(%Dataset{licence: \"odc-odbl\", tags: [\"foo\"]})\n  false\n  iex> display_odbl_osm_conditions?(%Dataset{licence: \"odc-odbl\", tags: [\"foo\", \"openstreetmap\"], custom_tags: []})\n  true\n  iex> display_odbl_osm_conditions?(%Dataset{licence: \"odc-odbl\", tags: [], custom_tags: [\"licence-osm\"]})\n  true\n  iex> display_odbl_osm_conditions?(%Dataset{licence: \"odc-odbl\", tags: [], custom_tags: nil})\n  false\n  \"\"\"\n  def display_odbl_osm_conditions?(%Dataset{licence: \"odc-odbl\", tags: tags} = dataset) do\n    \"openstreetmap\" in tags or Dataset.has_custom_tag?(dataset, \"licence-osm\")\n  end\n\n  def display_odbl_osm_conditions?(%Dataset{}), do: false\n\n  @spec related_gtfs_resource(Resource.t()) :: DB.ResourceRelated.t() | nil\n  def related_gtfs_resource(%Resource{format: \"gtfs-rt\", resources_related: resources_related}) do\n    Enum.find(resources_related, fn %DB.ResourceRelated{reason: reason} -> reason == :gtfs_rt_gtfs end)\n  end\n\n  def related_gtfs_resource(%Resource{}), do: nil\n\n  @doc \"\"\"\n  iex> seasonal_warning?(%DB.Dataset{dataset_subtypes: [%DB.DatasetSubtype{slug: \"seasonal\"}]})\n  true\n  iex> seasonal_warning?(%DB.Dataset{dataset_subtypes: [%DB.DatasetSubtype{slug: \"urban\"}]})\n  false\n  \"\"\"\n  def seasonal_warning?(%DB.Dataset{} = dataset), do: DB.Dataset.has_subtype?(dataset, \"seasonal\")\n\n  def authentication_required?(%DB.Dataset{} = dataset),\n    do: DB.Dataset.has_custom_tag?(dataset, \"authentification_requise\")\n\n  @doc \"\"\"\n  iex> heart_class(%{42 => :producer}, %DB.Dataset{id: 42})\n  \"fa fa-heart producer\"\n  iex> heart_class(%{42 => nil}, %DB.Dataset{id: 42})\n  \"fa fa-heart\"\n  \"\"\"\n  def heart_class(dataset_heart_values, %DB.Dataset{id: dataset_id}) do\n    value = dataset_heart_values |> Map.fetch!(dataset_id) |> to_string()\n    \"fa fa-heart #{value}\" |> String.trim()\n  end\n\n  def latest_validation(%DB.Resource{id: resource_id} = resource, %{validations: validations} = _resources_infos) do\n    validations = validations |> Map.get(resource_id)\n\n    cond do\n      Enum.count(validations) == 1 ->\n        validations |> hd()\n\n      # If the resource is GTFS and has multiple validations, give priority to the\n      # MobilityData validator.\n      DB.Resource.gtfs?(resource) and Enum.count(validations) == 2 ->\n        validations |> Enum.filter(&Transport.Validators.MobilityDataGTFSValidator.mine?/1) |> hd()\n    end\n  end\n\n  def pick_validator(%DB.MultiValidation{} = validation) do\n    [\n      Transport.Validators.GTFSTransport,\n      Transport.Validators.NeTEx.Validator,\n      Transport.Validators.MobilityDataGTFSValidator\n    ]\n    |> Enum.find(fn validator -> validator.validator_name() == validation.validator end)\n  end\n\n  def pick_validator(_), do: nil\n\n  def empty_to_nil(\"\"), do: nil\n  def empty_to_nil(value), do: value\n\n  def notification_sent(%{} = assigns) do\n    ~H\"\"\"\n    <tr>\n      <td>{Transport.NotificationReason.reason_to_str(@notification.reason)}</td>\n      <.notification_sent_details reason={@notification.reason} payload={@notification.payload} locale={@locale} />\n      <td>{DateTimeDisplay.format_datetime_to_paris(@notification.timestamp, @locale)}</td>\n    </tr>\n    \"\"\"\n  end\n\n  def notification_sent_details(\n        %{\n          reason: :resource_unavailable,\n          payload: %{\"resource_ids\" => resource_ids, \"hours_consecutive_downtime\" => _}\n        } = assigns\n      ) do\n    assigns =\n      assign(\n        assigns,\n        :resources,\n        DB.Resource |> where([r], r.id in ^resource_ids) |> Ecto.Query.select([r], [:title, :id]) |> DB.Repo.all()\n      )\n\n    ~H\"\"\"\n    <td>\n      <a :for={resource <- @resources} href={resource_path(TransportWeb.Endpoint, :details, resource.id)} target=\"_blank\">\n        {resource.title}\n      </a>\n      &mdash;&nbsp;{@payload[\"hours_consecutive_downtime\"]}h\n    </td>\n    \"\"\"\n  end\n\n  def notification_sent_details(%{reason: reason, payload: %{\"resource_ids\" => resource_ids}} = assigns)\n      when reason in [:dataset_with_error, :resource_unavailable] do\n    assigns =\n      assign(\n        assigns,\n        :resources,\n        DB.Resource |> where([r], r.id in ^resource_ids) |> Ecto.Query.select([r], [:title, :id]) |> DB.Repo.all()\n      )\n\n    ~H\"\"\"\n    <td>\n      <a :for={resource <- @resources} href={resource_path(TransportWeb.Endpoint, :details, resource.id)} target=\"_blank\">\n        {resource.title}\n      </a>\n    </td>\n    \"\"\"\n  end\n\n  def notification_sent_details(%{reason: :expiration} = assigns) do\n    ~H\"\"\"\n    <td>\n      {Shared.DateTimeDisplay.relative_datetime_in_days(@payload[\"delay\"], @locale)}\n    </td>\n    \"\"\"\n  end\nend\n\ndefmodule TransportWeb.DatasetView.ResourceTypeSortKey do\n  def compare({left_type, left_last_update}, {right_type, right_last_update}) do\n    cond do\n      left_type == right_type -> DateTime.compare(left_last_update, right_last_update)\n      left_type == \"main\" -> :gt\n      true -> :lt\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/email_view.ex",
    "content": "defmodule TransportWeb.EmailView do\n  use TransportWeb, :view\n\n  import TransportWeb.Router.Helpers,\n    # Use only *_url helpers, not *_path as we need absolute URLs\n    only: [\n      dataset_url: 3,\n      resource_url: 3,\n      page_url: 3,\n      espace_producteur_url: 3,\n      reuser_space_url: 3\n    ]\n\n  def link_for_dataset_section(%DB.Dataset{} = dataset, :discussion) do\n    link_for_dataset(dataset, \"#dataset-discussions\")\n  end\n\n  def link_for_dataset(%DB.Dataset{slug: slug, custom_title: custom_title}, anchor \\\\ \"\") do\n    url = dataset_url(TransportWeb.Endpoint, :details, slug)\n    link(custom_title, to: url <> anchor)\n  end\n\n  def link_for_dataset_discussions(%DB.Dataset{slug: slug}) do\n    url = dataset_url(TransportWeb.Endpoint, :details, slug)\n    link(\"l’espace de discussion du jeu de données\", to: url <> \"#dataset-discussions\")\n  end\n\n  def link_for_dataset_with_type(%DB.Dataset{type: type} = dataset) do\n    link = link_for_dataset(dataset) |> Phoenix.HTML.safe_to_string()\n    Phoenix.HTML.raw(link <> \" - (#{DB.Dataset.type_to_str(type)})\")\n  end\n\n  def link_for_resource(%DB.Resource{id: id, title: title}) do\n    url = resource_url(TransportWeb.Endpoint, :details, id)\n    link(title, to: url)\n  end\n\n  def link_for_espace_producteur(view_name) do\n    url =\n      espace_producteur_url(TransportWeb.Endpoint, :espace_producteur,\n        utm_source: \"transactional_email\",\n        utm_medium: \"email\",\n        utm_campaign: to_string(view_name)\n      )\n\n    link(\"Espace Producteur\", to: url)\n  end\n\n  def link_for_reuser_space(view_name) do\n    url =\n      reuser_space_url(TransportWeb.Endpoint, :espace_reutilisateur,\n        utm_source: \"transactional_email\",\n        utm_medium: \"email\",\n        utm_campaign: to_string(view_name)\n      )\n\n    link(\"Espace réutilisateur\", to: url)\n  end\n\n  def link_for_login do\n    url = page_url(TransportWeb.Endpoint, :login, redirect_path: \"/\")\n\n    link(\"vous reconnecter\", to: url)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/error_helpers.ex",
    "content": "defmodule TransportWeb.ErrorHelpers do\n  @moduledoc \"\"\"\n  Conveniences for translating and building error messages.\n  \"\"\"\n\n  use Phoenix.HTML\n\n  @doc \"\"\"\n  Generates tag for inlined form input errors.\n  \"\"\"\n  def error_tag(form, field) do\n    Enum.map(Keyword.get_values(form.errors, field), fn error ->\n      content_tag(:span, translate_error(error), class: \"help-block\")\n    end)\n  end\n\n  @doc \"\"\"\n  Translates an error message using gettext.\n  \"\"\"\n  def translate_error({msg, opts}) do\n    # Because error messages were defined within Ecto, we must\n    # call the Gettext module passing our Gettext backend. We\n    # also use the \"errors\" domain as translations are placed\n    # in the errors.po file.\n    # Ecto will pass the :count keyword if the error message is\n    # meant to be pluralized.\n    # On your own code and templates, depending on whether you\n    # need the message to be pluralized or not, this could be\n    # written simply as:\n    #\n    #     dngettext \"errors\", \"1 file\", \"%{count} files\", count\n    #     dgettext \"errors\", \"is invalid\"\n    #\n    if count = opts[:count] do\n      Gettext.dngettext(TransportWeb.Gettext, \"errors\", msg, msg, count, opts)\n    else\n      Gettext.dgettext(TransportWeb.Gettext, \"errors\", msg, opts)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/error_view.ex",
    "content": "defmodule TransportWeb.ErrorView do\n  use TransportWeb, :view\n\n  def render(\"500.html\", assigns) do\n    render(__MODULE__, \"internal_server_error.html\", assigns)\n  end\n\n  def render(\"503.html\", assigns) do\n    assigns = assigns |> Map.put(:status_message, dgettext(\"errors\", \"503: Service Unavailable\"))\n    # Using 400 template because it is quite generic\n    render(__MODULE__, \"400_family_errors.html\", assigns)\n  end\n\n  def render(\"400.html\", assigns) do\n    assigns =\n      assigns\n      |> Map.put(:status_message, dgettext(\"errors\", \"400: Bad Request\"))\n\n    render(__MODULE__, \"400_family_errors.html\", assigns)\n  end\n\n  def render(\"401.html\", assigns) do\n    assigns = assigns |> Map.put(:status_message, dgettext(\"errors\", \"401: Unauthorized\"))\n    render(__MODULE__, \"400_family_errors.html\", assigns)\n  end\n\n  def render(\"404.html\", %{status_message: _status_message} = assigns) do\n    render(__MODULE__, \"400_family_errors.html\", assigns)\n  end\n\n  def render(\"404.html\", assigns) do\n    assigns = assigns |> Map.put(:status_message, dgettext(\"errors\", \"404: Page not available\"))\n    render(__MODULE__, \"400_family_errors.html\", assigns)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/espace_producteur_view.ex",
    "content": "defmodule TransportWeb.EspaceProducteurView do\n  use TransportWeb, :view\n  use Phoenix.Component\n  import TransportWeb.BreadCrumbs, only: [breadcrumbs: 1]\n\n  @spec action_path(Plug.Conn.t()) :: any\n  def action_path(%Plug.Conn{params: %{\"resource_datagouv_id\" => r_id}, assigns: %{dataset: dataset}} = conn),\n    do: espace_producteur_path(conn, :post_file, dataset.datagouv_id, r_id)\n\n  def action_path(%Plug.Conn{assigns: %{dataset: dataset}} = conn),\n    do: espace_producteur_path(conn, :post_file, dataset.datagouv_id)\n\n  def title(%Plug.Conn{params: %{\"resource_datagouv_id\" => _}}),\n    do: dgettext(\"resource\", \"Resource modification\")\n\n  def title(_), do: dgettext(\"resource\", \"Add a new resource\")\n\n  def remote?(%{\"filetype\" => \"remote\"}), do: true\n  def remote?(_), do: false\n\n  @spec show_proxy_stats_block?([DB.Dataset.t()]) :: boolean()\n  def show_proxy_stats_block?(datasets) do\n    datasets |> Enum.flat_map(& &1.resources) |> Enum.any?(&DB.Resource.served_by_proxy?/1)\n  end\n\n  @spec show_downloads_stats?(DB.Dataset.t() | [DB.Dataset.t()]) :: boolean()\n  def show_downloads_stats?(datasets) when is_list(datasets), do: Enum.any?(datasets, &show_downloads_stats?/1)\n\n  def show_downloads_stats?(%DB.Dataset{resources: resources}) do\n    Enum.any?(resources, &DB.Resource.hosted_on_datagouv?/1)\n  end\n\n  def show_important_information?(checks), do: show_important_information?(checks, :producer, [])\n\n  def show_important_information?(checks, :producer, _hidden_alerts) do\n    checks |> Map.values() |> Enum.any?(&Transport.DatasetChecks.has_issues?/1)\n  end\n\n  def show_important_information?(checks, :reuser, hidden_alerts) do\n    Enum.any?(checks, &has_visible_issues?(&1, hidden_alerts))\n  end\n\n  defp has_visible_issues?({dataset_id, dataset_checks}, hidden_alerts) do\n    Enum.any?(dataset_checks, &has_visible_issue?(&1, dataset_id, hidden_alerts))\n  end\n\n  defp has_visible_issue?({check_name, issues}, dataset_id, hidden_alerts) do\n    Enum.any?(issues, fn issue ->\n      issue = extract_issue(issue)\n      not issue_hidden?(hidden_alerts, %{id: dataset_id}, check_name, issue)\n    end)\n  end\n\n  defp extract_issue(%DB.Resource{} = resource), do: resource\n  defp extract_issue({%DB.Resource{} = resource, [_mv | _]}), do: resource\n  defp extract_issue(discussion), do: discussion\n\n  def issue_hidden?(hidden_alerts, dataset, check_name, issue) do\n    resource_id = if is_struct(issue, DB.Resource), do: issue.id, else: nil\n    discussion_id = if is_map(issue) and Map.has_key?(issue, \"id\"), do: issue[\"id\"], else: nil\n\n    DB.HiddenReuserAlert.hidden?(hidden_alerts, dataset.id, check_name,\n      resource_id: resource_id,\n      discussion_id: discussion_id\n    )\n  end\n\n  def important_information(%{} = assigns) do\n    ~H\"\"\"\n    <tr>\n      <td>\n        <a href={dataset_path(TransportWeb.Endpoint, :details, @dataset.slug)} target=\"_blank\">\n          <i class=\"fa fa-external-link\"></i>\n          {@dataset.custom_title}\n        </a>\n      </td>\n      <.issue_title issue={@issue} check_name={@check_name} multi_validation={@multi_validation} locale={@locale} />\n      <.issue_name issue={@issue} check_name={@check_name} multi_validation={@multi_validation} />\n      <.issue_link mode={@mode} issue={@issue} check_name={@check_name} dataset={@dataset} conn={@conn} />\n    </tr>\n    \"\"\"\n  end\n\n  defp issue_title(%{issue: %DB.Resource{}, check_name: :expiring_resource} = assigns) do\n    ~H\"\"\"\n    <td>{@issue.title} <span class=\"label\">{@issue.format}</span>\n      <TransportWeb.DatasetView.validity_dates multi_validation={@multi_validation} locale={@locale} /></td>\n    \"\"\"\n  end\n\n  defp issue_title(%{issue: %DB.Resource{}} = assigns) do\n    ~H\"\"\"\n    <td>{@issue.title} <span class=\"label\">{@issue.format}</span></td>\n    \"\"\"\n  end\n\n  defp issue_title(%{issue: _} = assigns) do\n    ~H\"\"\"\n    <td>{@issue[\"title\"]}</td>\n    \"\"\"\n  end\n\n  defp issue_name(%{check_name: :expiring_resource, multi_validation: %DB.MultiValidation{} = mv} = assigns) do\n    end_date = DB.MultiValidation.get_metadata_info(mv, \"end_date\") |> Date.from_iso8601!()\n\n    if Date.compare(end_date, Date.utc_today()) in [:eq, :lt] do\n      ~H\"\"\"\n      <td>{dgettext(\"espace-producteurs\", \"Expired resource\")}</td>\n      \"\"\"\n    else\n      ~H\"\"\"\n      <td>{Transport.DatasetChecks.issue_name(@check_name)}</td>\n      \"\"\"\n    end\n  end\n\n  defp issue_name(%{} = assigns) do\n    ~H\"\"\"\n    <td>{Transport.DatasetChecks.issue_name(@check_name)}</td>\n    \"\"\"\n  end\n\n  defp issue_link(%{mode: :producer, check_name: :unanswered_discussions} = assigns) do\n    ~H\"\"\"\n    <td>\n      <a\n        href={dataset_path(TransportWeb.Endpoint, :details, @dataset.slug) <> ~s|#discussion-#{@issue[\"id\"]}|}\n        class=\"button-outline primary small\"\n        data-tracking-category=\"espace_producteur\"\n        data-tracking-action=\"important_information_see_discussion_button\"\n      >\n        <i class=\"icon fas fa-comments\"></i>{dgettext(\"espace-producteurs\", \"See the discussion\")}\n      </a>\n    </td>\n    \"\"\"\n  end\n\n  defp issue_link(%{mode: :producer, check_name: _} = assigns) do\n    ~H\"\"\"\n    <td>\n      <a\n        href={espace_producteur_path(TransportWeb.Endpoint, :edit_resource, @dataset.id, @issue.datagouv_id)}\n        class=\"button-outline primary small\"\n        data-tracking-category=\"espace_producteur\"\n        data-tracking-action=\"important_information_edit_resource_button\"\n      >\n        <i class=\"fa fa-edit\"></i>{dgettext(\"espace-producteurs\", \"Edit resource\")}\n      </a>\n    </td>\n    \"\"\"\n  end\n\n  defp issue_link(%{mode: :reuser, issue: %DB.Resource{}} = assigns) do\n    ~H\"\"\"\n    <td>\n      <div class=\"action-buttons\">\n        <a\n          href={resource_path(TransportWeb.Endpoint, :details, @issue.id)}\n          class=\"button-outline primary small\"\n          target=\"_blank\"\n          data-tracking-category=\"espace_reutilisateur\"\n          data-tracking-action=\"important_information_see_resource_button\"\n        >\n          {dgettext(\"reuser-space\", \"See the resource\")}\n        </a>\n        <.hide_button dataset={@dataset} check_name={@check_name} resource_id={@issue.id} conn={@conn} />\n      </div>\n    </td>\n    \"\"\"\n  end\n\n  defp issue_link(%{mode: :reuser, check_name: :recent_discussions} = assigns) do\n    ~H\"\"\"\n    <td>\n      <div class=\"action-buttons\">\n        <a\n          href={dataset_path(TransportWeb.Endpoint, :details, @dataset.slug) <> ~s|#discussion-#{@issue[\"id\"]}|}\n          class=\"button-outline primary small\"\n          data-tracking-category=\"espace_producteur\"\n          data-tracking-action=\"important_information_see_discussion_button\"\n        >\n          <i class=\"icon fas fa-comments\"></i>{dgettext(\"espace-producteurs\", \"See the discussion\")}\n        </a>\n        <.hide_button dataset={@dataset} check_name={@check_name} discussion_id={@issue[\"id\"]} conn={@conn} />\n      </div>\n    </td>\n    \"\"\"\n  end\n\n  defp hide_button(%{} = assigns) do\n    assigns = assigns |> Map.put_new(:resource_id, nil) |> Map.put_new(:discussion_id, nil)\n\n    ~H\"\"\"\n    <.form :let={f} for={%{}} action={reuser_space_path(@conn, :hide_alert, @dataset.id)} class=\"hide-alert-form\">\n      {hidden_input(f, :check_type, value: @check_name)}\n      {hidden_input(f, :resource_id, value: @resource_id)}\n      {hidden_input(f, :discussion_id, value: @discussion_id)}\n      <button\n        type=\"submit\"\n        class=\"button-outline secondary small\"\n        title={dgettext(\"reuser-space\", \"Hide for 7 days\")}\n        data-tracking-category=\"espace_reutilisateur\"\n        data-tracking-action=\"important_information_hide_alert_button\"\n      >\n        <i class=\"fa fa-eye-slash\"></i>\n      </button>\n    </.form>\n    \"\"\"\n  end\n\n  def dataset_creation_url,\n    do:\n      :transport\n      |> Application.fetch_env!(:datagouvfr_site)\n      |> Path.join(\"/fr/admin/dataset/new/\")\n\n  def datagouv_resource_edit_url(dataset_id, resource_id),\n    do:\n      :transport\n      |> Application.fetch_env!(:datagouvfr_site)\n      |> Path.join(\"admin/datasets/#{dataset_id}/files?resource_id=#{resource_id}\")\n\n  def datagouv_resource_creation_url(dataset_id),\n    do:\n      :transport\n      |> Application.fetch_env!(:datagouvfr_site)\n      |> Path.join(\"/admin/datasets/#{dataset_id}/files\")\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/explore_view.ex",
    "content": "defmodule TransportWeb.ExploreView do\n  use TransportWeb, :view\n\n  def render(\"gtfs_stops_data.json\", conn) do\n    conn.data\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/gbfs_anaylzer_view.ex",
    "content": "defmodule TransportWeb.GbfsAnalyzerView do\n  use TransportWeb, :view\n  import Transport.GBFSUtils\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/geojson_conversion_view.ex",
    "content": "defmodule TransportWeb.GeojsonConversionView do\n  use TransportWeb, :view\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/input_helpers.ex",
    "content": "defmodule TransportWeb.InputHelpers do\n  @moduledoc ~S\"\"\"\n  We override some Phoenix.HTML.Form function to make it easier to integrate template.data.gouv.fr\n  \"\"\"\n  alias Phoenix.HTML.Form\n  import Phoenix.HTML.Tag\n\n  @doc false\n  defmacro __using__(_) do\n    quote do\n      import Phoenix.HTML\n      import Phoenix.HTML.Link\n      import Phoenix.HTML.Tag\n      import Phoenix.HTML.Format\n\n      import Phoenix.HTML.Form,\n        except: [\n          email_input: 3,\n          form_for: 3,\n          form_for: 4,\n          file_input: 2,\n          file_input: 3,\n          select: 3,\n          select: 4,\n          search_input: 3,\n          submit: 1,\n          submit: 2,\n          text_input: 3,\n          textarea: 2,\n          textarea: 3\n        ]\n    end\n  end\n\n  def form_for(form_data, action, options \\\\ [], fun) when is_function(fun, 1) do\n    if Keyword.get(options, :nodiv) do\n      Form.form_for(form_data, action, options, fun)\n    else\n      Form.form_for(form_data, action, options, fun)\n    end\n  end\n\n  def form_group(do: block) do\n    content_tag(:div, block, class: \"form__group\")\n  end\n\n  def form_group(field), do: content_tag(:div, field, class: \"form__group\")\n\n  def select(form, field, options, opts \\\\ []) do\n    label = Keyword.get(opts, :label)\n    opts = Keyword.drop(opts, [:label])\n\n    if label != nil do\n      form_group do\n        [\n          Form.label(form, field, label),\n          Form.select(form, field, options, opts)\n        ]\n      end\n    else\n      form_group(Form.select(form, field, options, opts))\n    end\n  end\n\n  @spec search_input(Phoenix.HTML.Form.t(), atom() | binary(), Keyword.t()) :: any\n  def search_input(form, field, opts \\\\ []) do\n    icon = content_tag(:i, \"\", class: \"fas icon--magnifier\", id: \"magnifier\")\n    opts = Keyword.put(opts, :type, \"search\")\n\n    form_group(\n      content_tag(\n        :div,\n        [icon, Form.text_input(form, field, opts)],\n        class: \"\"\n      )\n    )\n  end\n\n  def submit([do: _] = block_option), do: submit([], block_option)\n  def submit(_, opts \\\\ [])\n\n  def submit(value, opts) do\n    nodiv = Keyword.get(opts, :nodiv)\n\n    opts =\n      opts\n      |> Keyword.put_new(:class, \"button\")\n      |> Keyword.drop([:nodiv])\n\n    if nodiv do\n      Form.submit(value, opts)\n    else\n      form_group(Form.submit(value, opts))\n    end\n  end\n\n  def text_input(form, field, opts \\\\ []) do\n    label = Keyword.get(opts, :label)\n    opts = Keyword.drop(opts, [:label])\n\n    if label != nil do\n      form_group do\n        [\n          if match?({:safe, [_, \"label\" | _]}, label) do\n            label\n          else\n            Form.label(form, field, label)\n          end,\n          Form.text_input(form, field, opts)\n        ]\n      end\n    else\n      form_group(Form.text_input(form, field, opts))\n    end\n  end\n\n  def email_input(form, field, opts \\\\ []) do\n    form_group(Form.email_input(form, field, opts))\n  end\n\n  def textarea(form, field, opts \\\\ []) do\n    form_group(Form.textarea(form, field, opts))\n  end\n\n  def textarea_autoexpand(form, field, opts \\\\ []) do\n    opts = opts |> Keyword.put_new(:phx, hook: \"TextareaAutoexpand\")\n    form_group(autoexpand_wrapper(Form.textarea(form, field, opts)))\n  end\n\n  def autoexpand_wrapper(content), do: content_tag(:div, content, class: \"autoexpand\")\n\n  def file_input(form, field, opts \\\\ []) do\n    label = Keyword.get(opts, :label)\n    opts = Keyword.drop(opts, [:label])\n\n    if label != nil do\n      form_group do\n        [\n          Form.label(form, field, label),\n          Form.file_input(form, field, opts)\n        ]\n      end\n    else\n      form_group(Form.file_input(form, field, opts))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/landing_pages_view.ex",
    "content": "defmodule TransportWeb.LandingPagesView do\n  use TransportWeb, :view\n\n  def gbfs_abbreviation(text) do\n    text |> abbreviation(\"GBFS\", \"Standard General Bikeshare Feed Specification\")\n  end\n\n  def aoms_abbreviation(text) do\n    aoms = dgettext(\"landing-vls\", \"Autorités Organisatrices de la Mobilité: Mobility Organizing Authorities\")\n    text |> abbreviation(\"AOMs\", aoms)\n  end\n\n  defp abbreviation(text, abbreviation, explanation) do\n    String.replace(text, abbreviation, \"<abbr class=\\\"inline-help\\\" title=\\\"#{explanation}\\\">#{abbreviation}</abbr>\")\n  end\n\n  def homepage_link(text) do\n    String.replace(\n      text,\n      \"transport.data.gouv.fr\",\n      \"<a href=\\\"https://transport.data.gouv.fr\\\">transport.data.gouv.fr</a>\"\n    )\n  end\n\n  def format_integer(number) do\n    Helpers.format_number(number)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/layout_view.ex",
    "content": "defmodule TransportWeb.LayoutView do\n  use TransportWeb, :view\n  use Phoenix.Component\n  alias __MODULE__\n  alias Phoenix.Controller\n  import TransportWeb.DatasetView, only: [markdown_to_safe_html!: 1]\n\n  def current_path(conn) do\n    Controller.current_path(conn)\n  end\n\n  def has_flash(%Plug.Conn{} = conn), do: not Enum.empty?(conn.assigns.flash)\n\n  @doc \"\"\"\n  The current user's avatar URL.\n  If the logged-in user has a custom avatar, use its URL.\n  Otherwise use the data.gouv.fr pixels for this user.\n  \"\"\"\n  def avatar_url(%Plug.Conn{assigns: %{current_user: %{\"avatar_thumbnail\" => avatar_thumbnail}}})\n      when is_binary(avatar_thumbnail) do\n    avatar_thumbnail\n  end\n\n  def avatar_url(%Plug.Conn{assigns: %{current_user: %{\"id\" => datagouv_id}}}) do\n    # https://doc.data.gouv.fr/api/reference/#/avatars/avatars\n    \"https://www.data.gouv.fr/api/1/avatars/#{datagouv_id}/50\"\n  end\n\n  def avatar_url(%Plug.Conn{}), do: nil\n\n  def add_locale_to_url(conn, locale) do\n    query_params = conn.query_params |> Map.put(\"locale\", locale) |> Plug.Conn.Query.encode()\n    \"#{conn.request_path}?#{query_params}\"\n  end\n\n  def notifications_count(%Plug.Conn{} = conn) do\n    if TransportWeb.Session.producer?(conn) do\n      Enum.reduce(conn.assigns.datasets_checks, 0, fn check, acc ->\n        Transport.DatasetChecks.count_issues(check) + acc\n      end) + reuser_notifications_count(conn)\n    else\n      reuser_notifications_count(conn)\n    end\n  end\n\n  def producer_notifications_count(%Plug.Conn{} = conn) do\n    if TransportWeb.Session.producer?(conn) do\n      Enum.reduce(conn.assigns.datasets_checks, 0, fn check, acc ->\n        Transport.DatasetChecks.count_issues(check) + acc\n      end)\n    else\n      0\n    end\n  end\n\n  def reuser_notifications_count(%Plug.Conn{} = conn) do\n    hidden_alerts = conn.assigns.hidden_reuser_alerts\n    datasets = conn.assigns.followed_datasets\n    checks = conn.assigns.followed_datasets_checks\n\n    datasets\n    |> Enum.zip(checks)\n    |> Enum.reduce(0, fn {dataset, check}, acc ->\n      count_visible_issues(check, dataset.id, hidden_alerts) + acc\n    end)\n  end\n\n  defp count_visible_issues(check, dataset_id, hidden_alerts) do\n    Enum.reduce(check, 0, fn {check_name, issues}, acc ->\n      visible_count =\n        Enum.count(issues, fn issue ->\n          not DB.HiddenReuserAlert.hidden?(hidden_alerts, dataset_id, check_name, issue_opts(issue))\n        end)\n\n      visible_count + acc\n    end)\n  end\n\n  defp issue_opts(%DB.Resource{id: resource_id}), do: [resource_id: resource_id]\n  defp issue_opts({%DB.Resource{id: resource_id}, _}), do: [resource_id: resource_id]\n  defp issue_opts(%{\"id\" => discussion_id}), do: [discussion_id: discussion_id]\n  defp issue_opts(_), do: []\n\n  def notification_count(%{count: _, static: _} = assigns) do\n    ~H\"\"\"\n    <% class = if @static, do: \"notification_badge static\", else: \"notification_badge\" %>\n    <span\n      :if={@count > 0}\n      class={class}\n      aria-label={dngettext(\"default\", \"%{count} notification count\", \"%{count} notifications count\", @count)}\n    >\n      {@count}\n    </span>\n    \"\"\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/markdown_handler.ex",
    "content": "defmodule TransportWeb.MarkdownHandler do\n  @moduledoc \"\"\"\n  A module to handle external markdown, sanitize it and mark it safe\n  \"\"\"\n  require HtmlSanitizeEx\n  alias Phoenix.HTML\n\n  @doc \"\"\"\n  transform an external markdown content into safe HTML\n  \"\"\"\n  @spec markdown_to_safe_html!(binary() | nil) :: HTML.safe()\n  def markdown_to_safe_html!(nil), do: HTML.raw(nil)\n\n  def markdown_to_safe_html!(md) do\n    {:safe, txt} =\n      md\n      |> Earmark.as_html!(gfm_tables: true, breaks: true)\n      |> HtmlSanitizeEx.basic_html()\n      |> HTML.raw()\n\n    {:safe, String.replace(txt, \"<table>\", ~s(<table class=\"table\">), global: true)}\n  end\n\n  def to_html_with_anchors(markdown) do\n    {:ok, html, _} = Earmark.as_html(markdown)\n\n    html\n    |> Floki.parse_fragment!()\n    |> Floki.traverse_and_update(fn\n      {tag, attrs, children} when tag in [\"h1\", \"h2\", \"h3\", \"h4\"] ->\n        # Create a slug from the text content\n        text_content = Floki.text(children)\n        id = slugify(text_content)\n\n        # Add the ID to the header attributes\n        new_attrs = [{\"id\", id} | attrs]\n\n        # Create the clickable link tag\n        anchor_link = {\"a\", [{\"href\", \"##{id}\"}, {\"class\", \"anchor\"}], [\"#\"]}\n\n        # Prepend the anchor to the children\n        {tag, new_attrs, [anchor_link | [\" \" | children]]}\n\n      other ->\n        other\n    end)\n    |> Floki.raw_html()\n  end\n\n  defp slugify(text) do\n    text\n    |> String.trim()\n    |> String.downcase()\n    |> String.replace(~r/[^a-z0-9\\s-]/, \"\")\n    |> String.replace(~r/\\s+/, \"-\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/netex_report_components.ex",
    "content": "defmodule TransportWeb.NeTExReportComponents do\n  @moduledoc \"\"\"\n  Set of components to display a NeTEx validation report. Those components are\n  used by the resource details page and the on demand validation results page.\n  \"\"\"\n  use TransportWeb, :view\n  use Phoenix.Component\n  import Phoenix.Controller, only: [current_url: 2]\n  import Phoenix.HTML\n  import Plug.Conn, only: [get_session: 2]\n  use Gettext, backend: TransportWeb.Gettext\n  import TransportWeb.Components.ColorfulButton\n\n  def to_netex_validation_report(url), do: url <> \"#validation-report\"\n\n  def netex_generic_issues(%{issues: _} = assigns) do\n    ~H\"\"\"\n    <table class=\"table netex_generic_issue\">\n      <tr>\n        <th>{dgettext(\"validations-explanations\", \"Message\")}</th>\n        <th>{dgettext(\"validations-explanations\", \"File\")}</th>\n        <th>{dgettext(\"validations-explanations\", \"Line\")}</th>\n      </tr>\n\n      <tr :for={issue <- @issues} class=\"message\">\n        <td lang=\"en\">{issue[\"message\"]}</td>\n        <%= if is_nil(issue[\"resource\"]) or is_nil(issue[\"resource\"][\"filename\"]) or is_nil(issue[\"resource\"][\"line\"]) do %>\n          <td colspan=\"2\">{dgettext(\"validations-explanations\", \"Unknown location\")}</td>\n        <% else %>\n          <td>{issue[\"resource\"][\"filename\"]}</td>\n          <td>{issue[\"resource\"][\"line\"]}</td>\n        <% end %>\n      </tr>\n    </table>\n    \"\"\"\n  end\n\n  def netex_validation_report_title(\n        %{level: _, max_severity: _, results_adapter: _, validation_report_url: _} = assigns\n      ) do\n    ~H\"\"\"\n    <% %{\"max_level\" => max_level, \"worst_occurrences\" => worst_occurrences} = @max_severity %>\n    <div class=\"header_with_action_bar\">\n      <.title level={@level}>\n        {@results_adapter.format_severity(max_level, worst_occurrences) |> String.capitalize()}\n      </.title>\n      <.netex_validation_report_download validation_report_url={@validation_report_url} />\n    </div>\n    \"\"\"\n  end\n\n  def netex_validation_report_title(%{validation_report_url: _} = assigns) do\n    ~H\"\"\"\n    <div class=\"header_with_action_bar\">\n      <h2>{dgettext(\"validations\", \"NeTEx review report\")}</h2>\n      <.netex_validation_report_download validation_report_url={@validation_report_url} />\n    </div>\n    \"\"\"\n  end\n\n  defp title(%{level: 2} = assigns) do\n    ~H\"\"\"\n    <h2>{render_slot(@inner_block)}</h2>\n    \"\"\"\n  end\n\n  defp title(%{level: 4} = assigns) do\n    ~H\"\"\"\n    <h4>{render_slot(@inner_block)}</h4>\n    \"\"\"\n  end\n\n  def netex_validation_report_content(\n        %{\n          conn: _,\n          current_category: _,\n          issues: _,\n          results_adapter: _,\n          validation_report_url: _,\n          validation_summary: _,\n          xsd_errors: _,\n          pagination: _\n        } = assigns\n      ) do\n    ~H\"\"\"\n    <% compliance_check = @results_adapter.french_profile_compliance_check() %>\n    <% errors =\n      if @current_category == \"xsd-schema\" do\n        @xsd_errors\n      else\n        @issues\n      end %>\n\n    <.netex_validation_categories\n      conn={@conn}\n      results_adapter={@results_adapter}\n      validation_summary={@validation_summary}\n      current_category={@current_category}\n    />\n\n    <.netex_validation_selected_category\n      conn={@conn}\n      compliance_check={compliance_check}\n      current_category={@current_category}\n      errors={errors}\n      validation_report_url={@validation_report_url}\n      pagination={@pagination}\n      results_adapter={@results_adapter}\n    />\n    \"\"\"\n  end\n\n  defp netex_validation_categories(%{conn: _, results_adapter: _, validation_summary: _, current_category: _} = assigns) do\n    ~H\"\"\"\n    <div id=\"categories\">\n      <.netex_errors_category\n        :for={%{\"category\" => category, \"stats\" => stats} <- sort_categories(@validation_summary)}\n        conn={@conn}\n        results_adapter={@results_adapter}\n        category={category}\n        current_category={@current_category}\n        stats={stats}\n      />\n    </div>\n    \"\"\"\n  end\n\n  defp sort_categories(summary) do\n    category_position = fn category ->\n      case category do\n        \"xsd-schema\" -> 1\n        \"base-rules\" -> 2\n        _ -> 3\n      end\n    end\n\n    summary\n    |> Enum.sort_by(fn %{\"category\" => category} -> {category_position.(category), category} end)\n  end\n\n  defp netex_validation_selected_category(\n         %{\n           conn: _,\n           compliance_check: _,\n           current_category: _,\n           errors: _,\n           validation_report_url: _,\n           pagination: _,\n           results_adapter: _\n         } =\n           assigns\n       ) do\n    ~H\"\"\"\n    <% locale = get_session(@conn, :locale) %>\n    <div class=\"selected-category\">\n      <.netex_category_description\n        category={@current_category}\n        compliance_check={@compliance_check}\n        conn={@conn}\n        results_adapter={@results_adapter}\n      />\n      <.netex_category_comment count={Enum.count(@errors)} category={@current_category} />\n\n      <div :if={Enum.count(@errors) > 0} id=\"issues-list\">\n        <%= if @current_category == \"xsd-schema\" do %>\n          <p>\n            {dgettext(\n              \"validations-explanations\",\n              \"Here is a summary of XSD validation errors. Full detail of those errors is available in the <a href=\\\"%{validation_report_url}\\\" target=\\\"_blank\\\">CSV report</a>. Those errors are produced by <a href=\\\"https://gnome.pages.gitlab.gnome.org/libxml2/xmllint.html\\\" target=\\\"_blank\\\">xmllint</a>.\",\n              validation_report_url: @validation_report_url\n            )\n            |> raw()}\n          </p>\n          <.non_translated_messages locale={locale} />\n          <table class=\"table netex_xsd_schema\">\n            <tr>\n              <th>{dgettext(\"validations-explanations\", \"Occurrences\")}</th>\n              <th>{dgettext(\"validations-explanations\", \"Message\")}</th>\n            </tr>\n\n            <tr :for={xsd_error <- @errors} class=\"message\">\n              <td>{Helpers.format_number(xsd_error[\"counts\"], locale: locale)}</td>\n              <td lang=\"en\">{xsd_error[\"message\"]}</td>\n            </tr>\n          </table>\n        <% else %>\n          <.non_translated_messages locale={locale} />\n          <.netex_generic_issues issues={@errors} />\n          {@pagination}\n        <% end %>\n      </div>\n    </div>\n    \"\"\"\n  end\n\n  defp non_translated_messages(%{locale: _} = assigns) do\n    ~H\"\"\"\n    <p :if={@locale != \"en\"}>\n      {dgettext(\"validations-explanations\", \"The following errors are only available in English.\")}\n    </p>\n    \"\"\"\n  end\n\n  defp netex_validation_report_download(%{validation_report_url: _} = assigns) do\n    ~H\"\"\"\n    <button class=\"button-outline small secondary\" popovertarget=\"download-popup\">\n      <.download_popup_title />\n    </button>\n    <dialog id=\"download-popup\" popover class=\"panel\">\n      <div class=\"header_with_action_bar\">\n        <h5><.download_popup_title /></h5>\n        <button popovertarget=\"download-popup\" popovertargetaction=\"hide\" class=\"small secondary\">\n          <i class=\"fa fa-close\"></i>\n        </button>\n      </div>\n      <.download_popup_content url={@validation_report_url} />\n    </dialog>\n    \"\"\"\n  end\n\n  defp download_popup_title(%{} = assigns) do\n    ~H\"\"\"\n    <i class=\"icon icon--download\" aria-hidden=\"true\"></i> {dgettext(\"validations\", \"Download the report\")}\n    \"\"\"\n  end\n\n  defp download_popup_content(%{url: nil} = assigns) do\n    ~H\"\"\"\n    <p>\n      {dgettext(\"validations\", \"No validation error. No report to download.\")}\n    </p>\n    \"\"\"\n  end\n\n  defp download_popup_content(%{url: _} = assigns) do\n    ~H\"\"\"\n    <div class=\"download-grid\">\n      <span>\n        {dgettext(\"validations\", \"As a CSV file:\")}\n      </span>\n      <.download_button url={@url} format=\"csv\">\n        validation.csv\n      </.download_button>\n      <span>\n        {dgettext(\"validations\", \"As a Parquet file:\")}\n      </span>\n      <.download_button url={@url} format=\"parquet\">\n        validation.parquet\n      </.download_button>\n    </div>\n    <hr />\n    <p>\n      {dgettext(\n        \"validations\",\n        \"Parquet is way more compact file format but it will require you to use some dedicated tooling.\"\n      )}\n    </p>\n    <p>\n      {dgettext(\"validations\", \"Learn more about it <a href=\\\"%{parquet_url}\\\" target=\\\"_blank\\\">here</a>.\",\n        parquet_url: \"https://parquet.apache.org/\"\n      )\n      |> raw()}\n    </p>\n    \"\"\"\n  end\n\n  defp download_button(%{url: _, format: _} = assigns) do\n    ~H\"\"\"\n    <a class=\"download-button\" href={\"#{@url}?format=#{@format}\"} target=\"_blank\">\n      <button class=\"button-outline small secondary\">\n        <i class=\"icon icon--download\" aria-hidden=\"true\"></i> {render_slot(@inner_block)}\n      </button>\n    </a>\n    \"\"\"\n  end\n\n  defp with_string(proc) do\n    {:ok, device} = StringIO.open(\"\")\n\n    proc.(device)\n\n    StringIO.flush(device)\n  end\n\n  defp netex_category_tooltip(%{category: _, compliance_check: _, results_adapter: _, conn: _} = assigns) do\n    ~H\"\"\"\n    <% french_profile = @results_adapter.french_profile() %>\n    <p :if={@category == \"french-profile\"}>\n      <.info_icon /> {french_profile_comment(@compliance_check)}\n      <button :if={french_profile} class=\"button-outline small secondary\" popovertarget=\"french-profile-rules\">\n        <i class=\"fa fa-circle-question\" aria-hidden=\"true\"></i> {dgettext(\"validations\", \"Learn more\")}\n      </button>\n    </p>\n    <dialog :if={french_profile} id=\"french-profile-rules\" popover class=\"panel inline-help\">\n      <div class=\"header_with_action_bar\">\n        <h5>{dgettext(\"validations\", \"List of French Profile rules currently checked\")}</h5>\n        <button popovertarget=\"french-profile-rules\" popovertargetaction=\"hide\" class=\"small secondary\">\n          <i class=\"fa fa-close\"></i>\n        </button>\n      </div>\n      <% markdown = with_string(&french_profile.markdown(&1, header_level: 6)) %>\n      {markdown_to_safe_html!(markdown)}\n    </dialog>\n    \"\"\"\n  end\n\n  defp netex_category_tooltip(%{} = assigns) do\n    ~H\"\"\"\n    \"\"\"\n  end\n\n  defp markdown_to_safe_html!(markdown) do\n    case TransportWeb.MarkdownHandler.markdown_to_safe_html!(markdown) do\n      {:safe, safe} -> {:safe, update_links_target(safe)}\n      otherwise -> otherwise\n    end\n  end\n\n  defp update_links_target(html) do\n    html\n    |> Floki.parse_fragment!()\n    |> Floki.traverse_and_update(fn\n      {\"a\", attrs, children} -> {\"a\", [{\"target\", \"_blank\"} | attrs], children}\n      other -> other\n    end)\n    |> Floki.raw_html()\n  end\n\n  defp french_profile_comment(:none), do: dgettext(\"validations\", \"netex-french-profile-no-compliance\") |> raw()\n  defp french_profile_comment(:partial), do: dgettext(\"validations\", \"netex-french-profile-partial-compliance\") |> raw()\n  defp french_profile_comment(:good_enough), do: \"\"\n\n  defp netex_errors_category(%{conn: _, category: _, stats: _, results_adapter: _, current_category: _} = assigns) do\n    ~H\"\"\"\n    <.colorful_link\n      href={netex_link_to_category(@conn, @category)}\n      valid={@stats[\"count\"] == 0}\n      selected={@current_category == @category}\n    >\n      <:icon>\n        <.validity_icon errors={@stats[\"count\"]} />\n      </:icon>\n      <:label>\n        <span class=\"category\">\n          {netex_category_label(@category)}\n        </span>\n        <.stats :if={@stats[\"count\"] > 0} stats={@stats} results_adapter={@results_adapter} />\n      </:label>\n    </.colorful_link>\n    \"\"\"\n  end\n\n  defp netex_link_to_category(conn, category) do\n    query_params =\n      drop_empty_query_params(%{\"issues_category\" => category, \"token\" => conn.params[\"token\"]})\n\n    conn\n    |> current_url(query_params)\n    |> to_netex_validation_report()\n  end\n\n  defp drop_empty_query_params(query_params) do\n    Map.reject(query_params, fn {_, v} -> is_nil(v) end)\n  end\n\n  defp netex_category_description(%{category: _, compliance_check: _, conn: _, results_adapter: _} = assigns) do\n    ~H\"\"\"\n    <% url = netex_link_to_category(@conn, \"french-profile\") %>\n    <% description = netex_category_description_html(@category, url) %>\n    <p :if={description}>\n      {raw(description)}\n    </p>\n    <.netex_category_tooltip\n      category={@category}\n      compliance_check={@compliance_check}\n      results_adapter={@results_adapter}\n      conn={@conn}\n    />\n    \"\"\"\n  end\n\n  defp netex_category_comment(%{count: _, category: _} = assigns) do\n    ~H\"\"\"\n    <.netex_category_hints :if={@count > 0} category={@category} />\n    <p :if={@count == 0}>\n      <i class=\"fa fa-check\"></i>\n      {dgettext(\"validations\", \"All rules of this category are respected.\")}\n    </p>\n    \"\"\"\n  end\n\n  defp netex_category_hints(%{category: _} = assigns) do\n    ~H\"\"\"\n    <p :if={netex_category_hints_html(@category)}>\n      <.info_icon /> {netex_category_hints_html(@category) |> raw()}\n    </p>\n    \"\"\"\n  end\n\n  defp stats(%{stats: _, results_adapter: _} = assigns) do\n    ~H\"\"\"\n    – {@results_adapter.format_severity(@stats[\"criticity\"], @stats[\"count\"])}\n    \"\"\"\n  end\n\n  defp validity_icon(%{errors: errors} = assigns) when errors > 0 do\n    ~H\"\"\"\n    <i class=\"fa fa-xmark fa-lg\"></i>\n    \"\"\"\n  end\n\n  defp validity_icon(assigns) do\n    ~H\"\"\"\n    <i class=\"fa fa-check fa-lg\"></i>\n    \"\"\"\n  end\n\n  defp info_icon(assigns) do\n    ~H\"\"\"\n    <i class=\"fa fa-circle-info\"></i>\n    \"\"\"\n  end\n\n  defp netex_category_label(\"xsd-schema\"), do: dgettext(\"validations\", \"XSD\")\n  defp netex_category_label(\"french-profile\"), do: dgettext(\"validations\", \"French profile\")\n  defp netex_category_label(\"base-rules\"), do: dgettext(\"validations\", \"Base rules\")\n  defp netex_category_label(_), do: dgettext(\"validations\", \"Other errors\")\n\n  defp netex_category_description_html(\"xsd-schema\", category_french_profile),\n    do: dgettext(\"validations\", \"xsd-schema-description\", category_french_profile: category_french_profile)\n\n  defp netex_category_description_html(\"french-profile\", _), do: dgettext(\"validations\", \"french-profile-description\")\n  defp netex_category_description_html(\"base-rules\", _), do: dgettext(\"validations\", \"base-rules-description\")\n  defp netex_category_description_html(_, _), do: nil\n\n  defp netex_category_hints_html(\"xsd-schema\"), do: dgettext(\"validations\", \"xsd-schema-hints\")\n  defp netex_category_hints_html(_), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/page_view.ex",
    "content": "defmodule TransportWeb.PageView do\n  use TransportWeb, :view\n\n  def current_tiles(tiles), do: Enum.filter(tiles, &(&1.count > 0))\n\n  def upcoming_tiles(tiles) do\n    Enum.filter(tiles, &(&1.count == 0 and is_binary(&1.type)))\n  end\n\n  def class(\"y\"), do: \"good\"\n  def class(_), do: \"bad\"\n\n  def thumb(\"y\"), do: \"👍\"\n  def thumb(_), do: \"👎\"\n\n  def make_link(\"\"), do: \"—\"\n  def make_link(o), do: link(\"Lien\", to: o)\n\n  @doc \"\"\"\n  iex> nb_downloads_for_humans(2_400_420, \"fr\")\n  \"2 M\"\n  iex> nb_downloads_for_humans(215_500, \"fr\")\n  \"216 k\"\n  iex> nb_downloads_for_humans(1_200, \"fr\")\n  \"1 k\"\n  iex> nb_downloads_for_humans(623, \"fr\")\n  \"623\"\n  \"\"\"\n  def nb_downloads_for_humans(value, locale) do\n    Transport.Cldr.Number.to_string!(value, format: :short, locale: locale)\n  end\n\n  @doc \"\"\"\n  iex> types = TransportWeb.API.Schemas.AutocompleteItem.types()\n  iex> Enum.each(types, fn type -> Map.fetch!(autocomplete_translations(), type) end)\n  :ok\n  \"\"\"\n  def autocomplete_translations do\n    %{\n      \"region\" => dgettext(\"autocomplete\", \"region\"),\n      \"departement\" => dgettext(\"autocomplete\", \"departement\"),\n      \"epci\" => dgettext(\"autocomplete\", \"epci\"),\n      \"commune\" => dgettext(\"autocomplete\", \"commune\"),\n      \"feature\" => dgettext(\"autocomplete\", \"feature\"),\n      \"mode\" => dgettext(\"autocomplete\", \"mode\"),\n      \"offer\" => dgettext(\"autocomplete\", \"offer\"),\n      \"format\" => dgettext(\"autocomplete\", \"format\"),\n      \"dataset\" => dgettext(\"autocomplete\", \"dataset\"),\n      \"search-description\" => dgettext(\"autocomplete\", \"search-description\"),\n      \"results-description\" => dgettext(\"autocomplete\", \"results-description\")\n    }\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/resource_view.ex",
    "content": "defmodule TransportWeb.ResourceView do\n  use TransportWeb, :view\n  use Phoenix.Component\n  import TransportWeb.PaginationHelpers\n  import Phoenix.Controller, only: [current_url: 2]\n\n  import TransportWeb.NeTExReportComponents,\n    only: [\n      netex_generic_issues: 1,\n      netex_validation_report_content: 1,\n      netex_validation_report_title: 1,\n      to_netex_validation_report: 1\n    ]\n\n  import TransportWeb.DatasetView,\n    only: [documentation_url: 1, errors_count: 1, warnings_count: 1, multi_validation_performed?: 1, description: 1]\n\n  import DB.ResourceUnavailability, only: [floor_float: 2]\n  import Shared.DateTimeDisplay, only: [format_datetime_to_paris: 2, format_duration: 2]\n  import Transport.Validators.TableSchema, only: [validata_web_url: 1]\n  import Transport.GBFSUtils, only: [gbfs_validation_link: 1]\n  import Transport.Schemas.Wrapper, only: [schema_type: 1]\n  alias Shared.DateTimeDisplay\n  def format_related_objects(nil), do: \"\"\n\n  def format_related_objects(related_objects) do\n    for %{\"id\" => id, \"name\" => name} <- related_objects, do: content_tag(:li, \"#{name} (#{id})\")\n  end\n\n  def gtfs_template(issues) do\n    template =\n      Map.get(\n        %{\n          \"UnloadableModel\" => \"_unloadable_model_issue.html\",\n          \"DuplicateStops\" => \"_duplicate_stops_issue.html\",\n          \"DuplicateStopSequence\" => \"_duplicate_stop_sequence_issue.html\",\n          \"ExtraFile\" => \"_extra_file_issue.html\",\n          \"MissingFile\" => \"_missing_file_issue.html\",\n          \"NullDuration\" => \"_speed_issue.html\",\n          \"ExcessiveSpeed\" => \"_speed_issue.html\",\n          \"NegativeTravelTime\" => \"_speed_issue.html\",\n          \"Slow\" => \"_speed_issue.html\",\n          \"UnusedStop\" => \"_unused_stop_issue.html\",\n          \"InvalidCoordinates\" => \"_coordinates_issue.html\",\n          \"MissingCoordinates\" => \"_coordinates_issue.html\",\n          \"UnusedShapeId\" => \"_unused_shape_issue.html\",\n          \"InvalidShapeId\" => \"_invalid_shape_id_issue.html\",\n          \"MissingId\" => \"_missing_id_issue.html\",\n          \"MissingName\" => \"_missing_name_issue.html\",\n          \"SubFolder\" => \"_subfolder_issue.html\",\n          \"NegativeStopDuration\" => \"_negative_stop_duration_issue.html\",\n          \"UnusableTrip\" => \"_unusable_trip.html\",\n          \"NoCalendar\" => \"_no_calendar.html\"\n        },\n        Transport.Validators.GTFSTransport.issue_type(issues.entries),\n        \"_generic_issue.html\"\n      )\n\n    \"_gtfs#{template}\"\n  end\n\n  def netex_template(category \\\\ \"\") do\n    template =\n      Map.get(\n        %{\n          \"xsd-schema\" => \"_xsd_schema.html\"\n        },\n        category,\n        \"_generic_issue.html\"\n      )\n\n    \"_netex#{template}\"\n  end\n\n  def get_associated_geojson(%{GeoJSON: geojson_details}), do: geojson_details\n  def get_associated_geojson(_), do: nil\n\n  def errors_sample(%DB.MultiValidation{result: %{\"errors\" => errors}}) do\n    Enum.take(errors, max_display_errors())\n  end\n\n  def errors_sample(_), do: []\n\n  def max_display_errors, do: 50\n\n  def hours_ago(utcdatetime, locale) do\n    DateTime.utc_now() |> DateTime.diff(utcdatetime) |> seconds_to_hours_minutes(locale)\n  end\n\n  @doc \"\"\"\n  Converts seconds to a string showing hours and minutes.\n  Also work for negative input, even if not intended to use it that way.\n\n  iex> seconds_to_hours_minutes(3661, :en)\n  \"1 hour and 1 minute\"\n  iex> seconds_to_hours_minutes(60, :en)\n  \"1 minute\"\n  iex> seconds_to_hours_minutes(30, :en)\n  \"0 minute\"\n  iex> seconds_to_hours_minutes(-3661, :en)\n  \"-1 hour and 1 minute\"\n  \"\"\"\n  @spec seconds_to_hours_minutes(integer(), atom() | Cldr.LanguageTag.t()) :: binary()\n  def seconds_to_hours_minutes(seconds, locale \\\\ :en) do\n    duration = strip_seconds(seconds)\n\n    cond do\n      duration == 0 -> \"0 minute\"\n      duration < 0 -> \"-#{Shared.DateTimeDisplay.format_duration(-duration, locale)}\"\n      true -> Shared.DateTimeDisplay.format_duration(duration, locale)\n    end\n  end\n\n  def strip_seconds(seconds), do: div(seconds, 60) * 60\n\n  def download_availability_class(ratio) when ratio >= 0 and ratio <= 100 do\n    cond do\n      ratio == 100 -> \"download_availability_100\"\n      ratio >= 99 -> \"download_availability_99\"\n      ratio >= 95 -> \"download_availability_95\"\n      ratio >= 50 -> \"download_availability_50\"\n      true -> \"download_availability_low\"\n    end\n  end\n\n  def download_availability_class_text(ratio), do: download_availability_class(ratio) <> \"_text\"\n\n  def gbfs_validator_url, do: \"https://github.com/MobilityData/gbfs-validator\"\n  def gtfs_rt_validator_url, do: \"https://github.com/MobilityData/gtfs-realtime-validator\"\n  def gtfs_validator_url, do: \"https://github.com/etalab/transport-validator\"\n  def netex_validator_url, do: \"https://documenter.getpostman.com/view/9950294/2sA3e2gVEE\"\n\n  def gtfs_rt_validator_rule_url(error_id) when is_binary(error_id) do\n    gtfs_rt_validator_rule_url(%{\"error_id\" => error_id})\n  end\n\n  def gtfs_rt_validator_rule_url(%{\"error_id\" => error_id}) do\n    \"https://github.com/MobilityData/gtfs-realtime-validator/blob/master/RULES.md##{error_id}\"\n  end\n\n  def mobilitydata_gtfs_validator_url, do: \"https://gtfs-validator.mobilitydata.org\"\n\n  def on_demand_validation_link(conn, %DB.Resource{} = resource) do\n    {tile, sub_tile} =\n      cond do\n        DB.Resource.gtfs?(resource) -> {\"public-transit\", \"gtfs\"}\n        DB.Resource.gbfs?(resource) -> {\"vehicles-sharing\", \"gbfs\"}\n        not is_nil(resource.schema_name) -> {\"schemas\", resource.schema_name}\n        true -> \"\"\n      end\n\n    unless sub_tile == \"\" or TransportWeb.ValidationController.valid_type?(sub_tile) do\n      raise \"#{sub_tile} is not a valid type for on demand validation\"\n    end\n\n    live_path(conn, TransportWeb.Live.OnDemandValidationSelectLive,\n      type: sub_tile,\n      selected_tile: tile,\n      selected_subtile: sub_tile\n    )\n  end\n\n  @doc \"\"\"\n  iex> geojson_with_viz?(%DB.Resource{format: \"geojson\"}, %DB.ResourceHistory{payload: %{\"permanent_url\" => \"https://example.com/file\", \"filesize\" => 42}})\n  true\n  iex> geojson_with_viz?(%DB.Resource{format: \"GTFS\"}, %DB.ResourceHistory{payload: %{\"permanent_url\" => \"https://example.com/file\", \"filesize\" => 42}})\n  false\n  iex> geojson_with_viz?(%DB.Resource{format: \"geojson\"}, nil)\n  false\n  \"\"\"\n  def geojson_with_viz?(%DB.Resource{format: \"geojson\"}, %DB.ResourceHistory{\n        payload: %{\"permanent_url\" => permanent_url, \"filesize\" => filesize}\n      })\n      when not is_nil(filesize) and not is_nil(permanent_url),\n      do: true\n\n  def geojson_with_viz?(_, _), do: false\n\n  # credo:disable-for-next-line\n  def service_alert_icon(%{cause: cause}) do\n    case cause do\n      :UNKNOWN_CAUSE -> \"fa fa-question-circle\"\n      :OTHER_CAUSE -> \"fa fa-question-circle\"\n      :TECHNICAL_PROBLEM -> \"fa fa-exclamation-triangle\"\n      :STRIKE -> \"fa fa-fist-raised\"\n      :DEMONSTRATION -> \"fa fa-bullhorn\"\n      :ACCIDENT -> \"fa fa-car-crash\"\n      :HOLIDAY -> \"fa fa-calendar\"\n      :WEATHER -> \"fa fa-cloud-rain\"\n      :MAINTENANCE -> \"fa fa-wrench\"\n      :CONSTRUCTION -> \"fa fa-hard-hat\"\n      :POLICE_ACTIVITY -> \"fa fa-user-shield\"\n      :MEDICAL_EMERGENCY -> \"fa fa-ambulance\"\n    end\n  end\n\n  # credo:disable-for-next-line\n  def service_alert_effect(%{effect: effect}) do\n    case effect do\n      :NO_SERVICE -> dgettext(\"page-dataset-details\", \"No service\")\n      :REDUCED_SERVICE -> dgettext(\"page-dataset-details\", \"Reduced service\")\n      :SIGNIFICANT_DELAYS -> dgettext(\"page-dataset-details\", \"Significant delays\")\n      :DETOUR -> dgettext(\"page-dataset-details\", \"Detour\")\n      :ADDITIONAL_SERVICE -> dgettext(\"page-dataset-details\", \"Additional service\")\n      :MODIFIED_SERVICE -> dgettext(\"page-dataset-details\", \"Modified service\")\n      :OTHER_EFFECT -> dgettext(\"page-dataset-details\", \"Other effect\")\n      :UNKNOWN_EFFECT -> dgettext(\"page-dataset-details\", \"Unknown effect\")\n      :STOP_MOVED -> dgettext(\"page-dataset-details\", \"Stop moved\")\n      :NO_EFFECT -> dgettext(\"page-dataset-details\", \"No effect\")\n      :ACCESSIBILITY_ISSUE -> dgettext(\"page-dataset-details\", \"Accessibility issue\")\n    end\n  end\n\n  def nb_days_entities, do: Transport.Jobs.GTFSRTMetadataJob.days_to_keep()\n\n  @spec display_gtfs_rt_feed(map()) :: binary()\n  def display_gtfs_rt_feed(gtfs_rt_feed) do\n    gtfs_rt_feed.feed\n    |> Protobuf.JSON.encode!()\n    |> Jason.Formatter.pretty_print()\n  rescue\n    _ -> dgettext(\"page-dataset-details\", \"Feed decoding failed\")\n  end\n\n  @doc \"\"\"\n  iex> should_display_description?(%DB.Resource{description: nil})\n  false\n  iex> should_display_description?(%DB.Resource{description: \"foo\", title: nil})\n  false\n  iex> should_display_description?(%DB.Resource{description: nil, title: \"Foo\"})\n  false\n  iex> should_display_description?(%DB.Resource{description: \"Bonjour\", title: \"Foo\"})\n  true\n  \"\"\"\n  def should_display_description?(%DB.Resource{description: nil}), do: false\n  def should_display_description?(%DB.Resource{title: nil}), do: false\n  def should_display_description?(%DB.Resource{}), do: true\n\n  def networks_start_end_dates(assigns) do\n    end_date_class = fn end_date ->\n      case Date.diff(end_date, Date.utc_today()) do\n        n when n > 7 -> \"valid\"\n        n when n > 0 -> \"valid-not-for-long\"\n        _ -> \"outdated\"\n      end\n    end\n\n    transform_data = fn networks_start_end_dates ->\n      networks_start_end_dates\n      |> Enum.into([])\n      |> Enum.map(fn {network, %{\"start_date\" => start_date, \"end_date\" => end_date}} ->\n        end_date = Date.from_iso8601!(end_date)\n\n        {network,\n         %{\n           \"start_date\" => Date.from_iso8601!(start_date),\n           \"end_date\" => end_date,\n           \"end_date_class\" => end_date_class.(end_date)\n         }}\n      end)\n      |> Enum.sort(fn {_, %{\"end_date\" => end_date_1}}, {_, %{\"end_date\" => end_date_2}} ->\n        Date.compare(end_date_1, end_date_2) == :lt\n      end)\n    end\n\n    assigns = Map.put(assigns, :network_data, transform_data.(assigns[:networks_start_end_dates]))\n\n    ~H\"\"\"\n    <div class=\"networks-start-end\">\n      <%= for {network, %{\"start_date\" => start_date, \"end_date\" => end_date, \"end_date_class\" => class}} <- @network_data do %>\n        <span><strong>{network}</strong></span>\n        <span>{dgettext(\"validations\", \"from\")}</span>\n        <span>{Shared.DateTimeDisplay.format_date(start_date, @locale)}</span>\n        <span>{dgettext(\"validations\", \"to\")}</span>\n        <span class={class}>\n          {Shared.DateTimeDisplay.format_date(end_date, @locale)}\n        </span>\n      <% end %>\n    </div>\n    \"\"\"\n  end\n\n  def latest_validations_nb_days, do: 30\n\n  def gtfs_for_gtfs_rt(\n        %DB.Resource{format: \"gtfs-rt\", dataset: %DB.Dataset{resources: resources}},\n        %DB.MultiValidation{secondary_resource_id: gtfs_id}\n      ),\n      do: Enum.find(resources, &(&1.id == gtfs_id))\n\n  def gtfs_for_gtfs_rt(\n        %DB.Resource{format: \"gtfs-rt\", dataset: %DB.Dataset{resources: resources}},\n        nil = _multi_validation\n      ) do\n    gtfs_resources = resources |> Enum.filter(&DB.Resource.gtfs?/1)\n\n    if Enum.count(gtfs_resources) == 1 do\n      hd(gtfs_resources)\n    else\n      nil\n    end\n  end\n\n  def format_nil_or_number(nil, _locale), do: \"\"\n  def format_nil_or_number(value, locale), do: Helpers.format_number(value, locale: locale)\n\n  def yes_no_icon(nil), do: \"\"\n  def yes_no_icon(value) when value > 0, do: \"✅\"\n  def yes_no_icon(_), do: \"❌\"\n\n  def eligible_for_explore?(%DB.Resource{format: format}) do\n    format in [\"geojson\", \"csv\", \"ods\", \"xlsx\", \"xls\"]\n  end\n\n  def explore_url(%DB.Resource{\n        datagouv_id: resource_datagouv_id,\n        dataset: %DB.Dataset{datagouv_id: dataset_datagouv_id}\n      }) do\n    \"https://explore.data.gouv.fr/fr/datasets/#{dataset_datagouv_id}/#/resources/#{resource_datagouv_id}\"\n  end\n\n  def netex_features(%{features: _} = assigns) do\n    ~H\"\"\"\n    <% features = enumerate_netex_features(@features) %>\n    <li :if={not Enum.empty?(features)}>\n      {dgettext(\"resource\", \"NeTEx features:\")}\n      {safe_join(features, \", \")}.\n    </li>\n    \"\"\"\n  end\n\n  defp enumerate_netex_features(features) do\n    features\n    |> Enum.filter(fn {_feature, active} -> active end)\n    |> Enum.sort_by(&feature_order/1)\n    |> Enum.map(fn {feature, _} -> \"<strong>#{netex_feature(feature)}</strong>\" |> raw() end)\n  end\n\n  defp feature_order({\"networks\", _}), do: 1\n  defp feature_order({\"stops\", _}), do: 2\n  defp feature_order({\"fares\", _}), do: 3\n  defp feature_order({\"timetables\", _}), do: 4\n  defp feature_order({\"parkings\", _}), do: 5\n  defp feature_order({\"accessibility\", _}), do: 6\n  defp feature_order({_, _}), do: 100\n\n  defp netex_feature(\"networks\"), do: dgettext(\"resource\", \"networks\")\n  defp netex_feature(\"stops\"), do: dgettext(\"resource\", \"stops\")\n  defp netex_feature(\"fares\"), do: dgettext(\"resource\", \"fares\")\n  defp netex_feature(\"timetables\"), do: dgettext(\"resource\", \"timetables\")\n  defp netex_feature(\"parkings\"), do: dgettext(\"resource\", \"parkings\")\n  defp netex_feature(\"accessibility\"), do: dgettext(\"resource\", \"accessibility\")\n  defp netex_feature(_), do: \"\"\n\n  defp safe_join(safe_htmls, separator) do\n    html =\n      safe_htmls\n      |> Enum.map_join(separator, fn {:safe, html} -> html end)\n\n    {:safe, html}\n  end\n\n  def netex_statistics(%{stats: _, locale: _} = assigns) do\n    ~H\"\"\"\n    <.netex_statistic stats={@stats} locale={@locale} concept={:line} />\n    <.netex_statistic stats={@stats} locale={@locale} concept={:quay} />\n    <.netex_statistic stats={@stats} locale={@locale} concept={:stop_place} />\n    \"\"\"\n  end\n\n  defp netex_statistic(%{concept: _, stats: _, locale: _} = assigns) do\n    ~H\"\"\"\n    <% count = Map.get(@stats, \"#{Atom.to_string(@concept)}s_count\", 0) %>\n    <li :if={count > 0} class=\"statistic\">\n      {netex_statistic_description(@concept)}\n      <strong>{format_nil_or_number(count, @locale)}</strong>\n      <.netex_statistic_element_tooltip concept={@concept} />\n    </li>\n    \"\"\"\n  end\n\n  defp netex_statistic_description(:line), do: dgettext(\"resource\", \"number of lines:\")\n  defp netex_statistic_description(:quay), do: dgettext(\"resource\", \"number of quays:\")\n  defp netex_statistic_description(:stop_place), do: dgettext(\"resource\", \"number of stop places:\")\n\n  defp netex_statistic_element_tooltip(%{concept: _} = assigns) do\n    ~H\"\"\"\n    <span class=\"dropdown\">\n      <i class=\"fa fa-circle-question\"></i>\n      <div class=\"dropdown-content\">\n        {dgettext(\"resource\", \"Occurrences of the %{element} element.\", element: netex_statistic_element(@concept))\n        |> raw()}\n      </div>\n    </span>\n    \"\"\"\n  end\n\n  defp netex_statistic_element(:line), do: \"Line\" |> element()\n  defp netex_statistic_element(:quay), do: \"Quay\" |> element()\n  defp netex_statistic_element(:stop_place), do: \"StopPlace\" |> element()\n\n  defp element(element_name) do\n    \"<code>&lt;#{element_name}&gt;</code>\"\n  end\n\n  def netex_pagination_links(conn, issues, resource, current_category) do\n    pagination_links(conn, issues, [resource.id],\n      issues_category: current_category,\n      path: &netex_issues_path/4,\n      action: :details\n    )\n  end\n\n  defp netex_issues_path(conn, action, resource_id, params) do\n    resource_path(conn, action, resource_id, params) |> to_netex_validation_report()\n  end\n\n  def error_label(severity) do\n    case severity do\n      \"ERROR\" -> \"❌ \" <> dgettext(\"validations\", \"Errors\")\n      \"WARNING\" -> \"⚠️ \" <> dgettext(\"validations\", \"Warnings\")\n      \"INFO\" -> \"ℹ️ \" <> dgettext(\"validations\", \"Information\")\n    end\n  end\n\n  def markdown(text), do: TransportWeb.MarkdownHandler.markdown_to_safe_html!(text)\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/reuse_view.ex",
    "content": "defmodule TransportWeb.ReuseView do\n  use TransportWeb, :view\n  import TransportWeb.PaginationHelpers\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/reuser_space_view.ex",
    "content": "defmodule TransportWeb.ReuserSpaceView do\n  use TransportWeb, :view\n  import TransportWeb.BreadCrumbs, only: [breadcrumbs: 1]\n\n  def default_for_contact?(%DB.Token{id: token_id}, %DB.Contact{default_tokens: [%DB.Token{id: id}]}) do\n    token_id == id\n  end\n\n  def default_for_contact?(%DB.Token{}, %DB.Contact{default_tokens: _}), do: false\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/seo_metadata.ex",
    "content": "defmodule TransportWeb.SeoMetadata do\n  @moduledoc \"\"\"\n  Module to set a title and a description for each pages.\n  The default title/description are defined in app.html.eex\n  \"\"\"\n  use Gettext, backend: TransportWeb.Gettext\n\n  @spec metadata(any(), any()) :: %{optional(:title) => binary(), optional(:description) => binary()}\n  def metadata(TransportWeb.DatasetView, %{q: q}) when not is_nil(q),\n    do: %{\n      title: dgettext(\"seo\", \"%{q}: Available transport open datasets\", q: q)\n    }\n\n  def metadata(TransportWeb.DatasetView, %{dataset: dataset}) do\n    formats =\n      case DB.Dataset.formats(dataset) do\n        [] -> \"\"\n        l -> \"(#{Enum.join(l, \", \")})\"\n      end\n\n    %{\n      title:\n        dgettext(\"seo\", \"%{custom_title} - Open %{formats} datasets - %{territory}\",\n          custom_title: dataset.custom_title,\n          territory: DB.Dataset.get_covered_area_or_nil(dataset),\n          formats: formats\n        )\n    }\n  end\n\n  def metadata(TransportWeb.DatasetView, %{\n        page_title: %{name: name},\n        conn: %{params: %{\"departement\" => _}}\n      }),\n      do: %{\n        title: dgettext(\"seo\", \"%{name} department: Transport open datasets\", name: name)\n      }\n\n  def metadata(TransportWeb.DatasetView, %{page_title: %{type: \"EPCI\", name: name}}),\n    do: %{\n      title: dgettext(\"seo\", \"%{name} EPCI: Transport open datasets\", name: name)\n    }\n\n  def metadata(TransportWeb.DatasetView, %{\n        page_title: %{name: name},\n        conn: %{params: %{\"commune\" => _}}\n      }),\n      do: %{\n        title: dgettext(\"seo\", \"Transport open datasets for city %{name}\", name: name)\n      }\n\n  def metadata(TransportWeb.DatasetView, %{\n        page_title: %{name: name},\n        conn: %{params: %{\"identifiant_offre\" => _}}\n      }),\n      do: %{\n        title: dgettext(\"seo\", \"Transport open datasets for transport offer %{name}\", name: name)\n      }\n\n  def metadata(TransportWeb.DatasetView, %{\n        page_title: %{name: name},\n        conn: %{params: %{\"format\" => _}}\n      }),\n      do: %{\n        title: dgettext(\"seo\", \"Transport open datasets for data format %{name}\", name: name)\n      }\n\n  def metadata(TransportWeb.DatasetView, %{page_title: %{type: type, name: name}}),\n    do: %{\n      title: dgettext(\"seo\", \"Transport open datasets for %{type} %{name}\", type: type, name: name)\n    }\n\n  def metadata(TransportWeb.ResourceView, %{resource: %{format: format, title: title, dataset: dataset}}),\n    do: %{\n      title:\n        dgettext(\"seo\", \"%{format} Transport open dataset - %{title} for %{custom_title} - %{territory}\",\n          custom_title: dataset.custom_title,\n          territory: DB.Dataset.get_covered_area_or_nil(dataset),\n          format: format,\n          title: title\n        )\n    }\n\n  def metadata(TransportWeb.StatsView, _),\n    do: %{\n      title: dgettext(\"seo\", \"State of transport open data in France\")\n    }\n\n  def metadata(TransportWeb.AOMSView, _),\n    do: %{\n      title: dgettext(\"seo\", \"State of transport open data for french AOMs\")\n    }\n\n  def metadata(TransportWeb.ReuserSpaceView, _),\n    do: %{\n      title: dgettext(\"seo\", \"Reuser space\")\n    }\n\n  def metadata(_, %{live_module: TransportWeb.Live.OnDemandValidationSelectLive}),\n    do: %{\n      title: dgettext(\"seo\", \"Data quality evaluation\")\n    }\n\n  def metadata(_view, %{page_title: page_title}), do: %{title: page_title}\n\n  def metadata(TransportWeb.LandingPagesView, %{seo_page: \"vls\"}),\n    do: %{\n      title: \"Jeux de données ouverts de la catégorie Vélos et trottinettes en libre-service\"\n    }\n\n  def metadata(_view, _assigns), do: %{}\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/stats_view.ex",
    "content": "defmodule TransportWeb.StatsView do\n  use TransportWeb, :view\n  import Phoenix.Component, only: [live_render: 2]\n\n  def friendly_gtfs_type(type) when is_binary(type) do\n    Map.fetch!(\n      %{\n        \"trip_updates\" => dgettext(\"stats\", \"Trip updates\"),\n        \"vehicle_positions\" => dgettext(\"stats\", \"Vehicle positions\"),\n        \"service_alerts\" => dgettext(\"stats\", \"Service alerts\")\n      },\n      type\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web/views/validation_view.ex",
    "content": "defmodule TransportWeb.ValidationView do\n  use TransportWeb, :view\n  import Phoenix.Controller, only: [current_url: 1]\n\n  import TransportWeb.ResourceView,\n    only: [\n      gtfs_template: 1,\n      netex_template: 0\n    ]\n\n  import TransportWeb.NeTExReportComponents,\n    only: [\n      netex_validation_report_content: 1,\n      netex_validation_report_title: 1,\n      to_netex_validation_report: 1\n    ]\n\n  import TransportWeb.PaginationHelpers\n\n  def render(\"_\" <> _ = partial, assigns) do\n    render(TransportWeb.ResourceView, partial, assigns)\n  end\n\n  def has_errors?([]), do: false\n  def has_errors?(summary) when is_list(summary), do: true\n\n  def netex_pagination_links(conn, issues, validation_id, current_category) do\n    pagination_links(conn, issues, [validation_id],\n      issues_category: current_category,\n      token: conn.params[\"token\"],\n      path: &netex_issues_path/4,\n      action: :show\n    )\n  end\n\n  defp netex_issues_path(conn, action, validation_id, params) do\n    validation_path(conn, action, validation_id, params) |> to_netex_validation_report()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/transport_web.ex",
    "content": "defmodule TransportWeb do\n  @moduledoc \"\"\"\n  The entrypoint for defining your web interface, such\n  as controllers, views, channels and so on.\n\n  This can be used in your application as:\n\n      use TransportWeb, :controller\n      use TransportWeb, :view\n\n  The definitions below will be executed for every view,\n  controller, etc, so keep them short and clean, focused\n  on imports, uses and aliases.\n\n  Do NOT define functions inside the quoted expressions\n  below. Instead, define any helper function in modules\n  and import those modules here.\n  \"\"\"\n  def static_paths, do: ~w(css documents images js favicon.ico)\n\n  def controller do\n    quote do\n      use Phoenix.Controller, formats: [html: \"View\", json: \"View\"], layouts: [html: TransportWeb.LayoutView]\n      import Plug.Conn\n      import TransportWeb.Router.Helpers\n      use Gettext, backend: TransportWeb.Gettext\n      import TransportWeb.PaginationHelpers\n      alias TransportWeb.ErrorView\n      import Phoenix.LiveView.Controller\n\n      unquote(verified_routes())\n    end\n  end\n\n  def view do\n    quote do\n      use Phoenix.View,\n        root: \"lib/transport_web/templates\",\n        namespace: TransportWeb\n\n      # Import convenience functions from controllers\n      import Phoenix.Controller, only: [get_flash: 2, view_module: 1, get_csrf_token: 0, view_template: 1]\n\n      # Use all HTML functionality (forms, tags, etc)\n      use TransportWeb.InputHelpers\n\n      import TransportWeb.Router.Helpers\n      import TransportWeb.ErrorHelpers\n      import TransportWeb.InputHelpers\n      use Gettext, backend: TransportWeb.Gettext\n      import TransportWeb.SeoMetadata\n      import Helpers\n\n      import Phoenix.Component, only: [live_render: 3]\n\n      import Plug.Conn, only: [get_session: 2]\n    end\n  end\n\n  def view_helpers do\n    quote do\n      unquote(verified_routes())\n    end\n  end\n\n  def router do\n    quote do\n      use Phoenix.Router\n      import Plug.Conn\n      import Phoenix.Controller\n      use Gettext, backend: TransportWeb.Gettext\n      alias TransportWeb.Router.Helpers\n      import Phoenix.LiveView.Router\n    end\n  end\n\n  def channel do\n    quote do\n      use Phoenix.Channel\n      use Gettext, backend: TransportWeb.Gettext\n    end\n  end\n\n  def serializer do\n    quote do\n      use JaSerializer\n    end\n  end\n\n  def verified_routes do\n    quote do\n      use Phoenix.VerifiedRoutes,\n        endpoint: TransportWeb.Endpoint,\n        router: TransportWeb.Router,\n        statics: TransportWeb.static_paths()\n    end\n  end\n\n  @doc \"\"\"\n  When used, dispatch to the appropriate controller/view/etc.\n  \"\"\"\n  defmacro __using__(which) when is_atom(which) do\n    apply(__MODULE__, which, [])\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/aggregate_processor.ex",
    "content": "defmodule Unlock.AggregateProcessor do\n  @moduledoc \"\"\"\n  The aggregate processor is able to consolidate (Dynamic IRVE CSV only for now, but the name has been kept\n  generic as it could quite be made generic) multiple feeds as one.\n  \"\"\"\n\n  require Logger\n\n  # We actually look into the schema to build this. This is preliminary work\n  # to add live validation later here.\n  def schema_fields, do: Transport.IRVE.DynamicIRVESchema.build_schema_fields_list()\n\n  @doc \"\"\"\n  Given an aggregate item, achieve concurrent querying of all sub-items and consolidate the outputs.\n\n  This implementation safely handles technical errors, non-200 responses and timeouts by returning empty\n  lists so that the consolidated feed is still made available.\n\n  Each sub-item result is cached in its own `Cachex` key.\n\n  The consolidated feed isn't cached, on purpose at the moment, because it allows a bit of dynamic behaviour\n  which is helpful (we will still be able to cache the global feed later, but if we do so we will want to\n  make sure the overall TTL does not increase too much).\n\n  NOTE: special care will be needed as we add more feeds, if the risk of timeout increases: the total\n  computation delay, in case of timeouts, will increase accordingly, as the global consolidation has to\n  wait for each timed-out item to reach its timeout (5 seconds currently).\n  \"\"\"\n  def process_resource(%Unlock.Config.Item.Aggregate{} = item, options \\\\ []) do\n    options =\n      Keyword.validate!(options, [\n        :limit_per_source,\n        :include_origin\n      ])\n\n    headers = schema_fields()\n    headers = if options[:include_origin], do: headers ++ [\"origin\", \"slug\"], else: headers\n\n    rows_stream =\n      item.feeds\n      |> Task.async_stream(\n        &process_sub_item(item, &1, options),\n        max_concurrency: 10,\n        # this is the default, but highlighted for maintenance clarity\n        ordered: true,\n        # allow override from tests, default to 5 seconds which is `async_stream` default\n        timeout: Process.get(:override_aggregate_processor_async_timeout, 5_000),\n        # only kill the relevant sub-task, not the whole processing\n        on_timeout: :kill_task,\n        # make sure to pass the sub-item to the exit (used for logging)\n        zip_input_on_exit: true\n      )\n      |> Stream.map(fn\n        {:ok, stream} ->\n          stream\n\n        {:exit, {sub_item, :timeout}} ->\n          Logger.warning(\"Timeout for origin #{sub_item.identifier}, response has been dropped\")\n          []\n      end)\n      |> Stream.concat()\n\n    [headers]\n    |> Stream.concat(rows_stream)\n    |> Enum.into([])\n    |> NimbleCSV.RFC4180.dump_to_iodata()\n  end\n\n  @doc \"\"\"\n  Probably one of the most complicated parts of the proxy.\n\n  A computation function is built to query the data via HTTP, but only if `Cachex`\n  asks for it (based on expiry dates & TTL registered with the caching key).\n\n  `Cachex` ensures uniqueness of concurrent calls & RAM storage, returning tuples to\n  hint us what happened.\n\n  This code needs to be DRYed ultimately (see `Controller.fetch_remote`), and simplified\n  via an extraction of the caching logic in a specific place.\n  \"\"\"\n  def cached_fetch(\n        %Unlock.Config.Item.Aggregate{} = item,\n        %Unlock.Config.Item.Generic.HTTP{identifier: origin} = sub_item\n      ) do\n    comp_fn = fn _key ->\n      Unlock.Telemetry.trace_request([item.identifier, origin], :internal)\n      Unlock.CachedFetch.fetch_data(sub_item, max_redirects: 2)\n    end\n\n    cache_name = Unlock.Shared.cache_name()\n    cache_key = Unlock.Shared.cache_key(item.identifier, origin)\n    outcome = Cachex.fetch(cache_name, cache_key, comp_fn)\n\n    case outcome do\n      {:ok, result} ->\n        Logger.info(\"Proxy response for #{item.identifier}:#{origin} served from cache\")\n        result\n\n      {:commit, result} ->\n        result\n\n      {:ignore, result} ->\n        # Too large - not expected to occur in nominal circumstances\n        Logger.info(\"Cache has been skipped for proxy response\")\n        result\n\n      {:error, _error} ->\n        # NOTE: we'll want to have some monitoring here, but not using Sentry\n        # because in case of troubles, we will blow up our quota.\n        Logger.error(\"Error while fetching key #{cache_key}\")\n        # Bad gateway - which will be processed upstream\n        %Unlock.HTTP.Response{status: 502, body: \"\", headers: []}\n    end\n  end\n\n  @doc \"\"\"\n  Process a sub-item (sub-feed of the aggregate item), \"safely\" returning an empty list\n  should any error occur.\n  \"\"\"\n  def process_sub_item(\n        %Unlock.Config.Item.Aggregate{} = item,\n        %Unlock.Config.Item.Generic.HTTP{identifier: origin, slug: slug} = sub_item,\n        options\n      ) do\n    Logger.debug(\"Fetching aggregated sub-item #{slug}/#{origin} at #{sub_item.target_url}\")\n\n    %{status: status, body: body} =\n      cached_fetch(item, %Unlock.Config.Item.Generic.HTTP{identifier: origin} = sub_item)\n\n    Logger.debug(\"#{slug}/#{origin} responded with HTTP code #{status} (#{body |> byte_size} bytes)\")\n\n    if status == 200 do\n      # NOTE: at this point of deployment, having a log in case of error will be good enough.\n      # We can later expose to the public with an alternate sub-url for observability.\n      try do\n        process_csv_payload(body, origin, slug, options)\n      catch\n        {:non_matching_headers, headers} ->\n          Logger.info(\"Broken stream for origin #{slug}/#{origin} (headers are #{headers |> inspect})\")\n          []\n      end\n    else\n      Logger.info(\"Non-200 response for origin #{slug}/#{origin} (status=#{status}), response has been dropped\")\n      []\n    end\n  rescue\n    # Since the code is ran via `Task.async_stream`, we wrap it with a rescue block, otherwise\n    # the whole consolidated response will stop and a 500 will be generated\n    e ->\n      Logger.warning(\n        \"Error occurred during processing origin #{slug}/#{origin} (#{e |> inspect}), response has been dropped\"\n      )\n\n      []\n  end\n\n  # NOTE: we could avoid \"decoding\" the payload, but doing so will allow us\n  # to integrate live validation (e.g. of id_pdc_itinerance against static database)\n  # more easily, with less refactoring.\n  def process_csv_payload(body, origin, slug, options \\\\ []) do\n    # NOTE: currently fully in RAM - an improvement point for later\n    [headers | rows] = NimbleCSV.RFC4180.parse_string(body, skip_headers: false)\n\n    # SEE: https://specs.frictionlessdata.io/table-schema/#descriptor\n    # The order of elements in fields array SHOULD be the order of fields in the CSV file.\n    # The number of elements in fields array SHOULD be the same as the number of fields in the CSV file.\n\n    # once we assert that, the rest of the processing is easy\n    unless headers == schema_fields() do\n      throw({:non_matching_headers, headers})\n    end\n\n    # Only keeping the id for now, on purpose\n    rows = if options[:limit_per_source], do: Stream.take(rows, options[:limit_per_source]), else: rows\n\n    mapper =\n      if options[:include_origin] do\n        fn columns -> columns ++ [origin, slug] end\n      else\n        fn columns -> columns end\n      end\n\n    rows\n    |> Stream.map(mapper)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/batch_metrics.ex",
    "content": "defmodule Unlock.EventIncrementer do\n  @moduledoc \"\"\"\n  A module to increment counters for events.\n  \"\"\"\n  @callback incr_event(map()) :: :ok\n\n  def impl, do: Application.get_env(:transport, :unlock_event_incrementer)\nend\n\ndefmodule Unlock.BatchMetrics do\n  @moduledoc \"\"\"\n  A module to insert proxy metrics in the database every 30 seconds.\n  \"\"\"\n  use GenServer\n  @behaviour Unlock.EventIncrementer\n\n  @work_delay :timer.seconds(5)\n\n  def work_delay, do: @work_delay\n\n  def start_link(_opts) do\n    GenServer.start_link(__MODULE__, %{}, name: __MODULE__)\n  end\n\n  @impl true\n  def init(state) do\n    schedule_work()\n    {:ok, state}\n  end\n\n  @impl Unlock.EventIncrementer\n  def incr_event(%{target: target, event: event}) do\n    GenServer.cast(__MODULE__, {:incr_event, %{target: target, event: event}})\n  end\n\n  @impl true\n  def handle_cast({:incr_event, %{target: _target, event: _event} = payload}, state) do\n    new_state = Map.update(state, metric_key(payload), 1, &(&1 + 1))\n    {:noreply, new_state}\n  end\n\n  @impl true\n  def handle_info(:work, state) do\n    period = DateTime.utc_now() |> Transport.Telemetry.truncate_datetime_to_hour()\n\n    Enum.each(state, fn {{target, event}, count} ->\n      Task.start(fn ->\n        DB.Repo.insert!(\n          %DB.Metrics{target: target, event: event, period: period, count: count},\n          conflict_target: [:target, :event, :period],\n          on_conflict: [inc: [count: count]]\n        )\n      end)\n    end)\n\n    schedule_work()\n\n    {:noreply, %{}}\n  end\n\n  def metric_key(%{target: target, event: event}), do: {target, event}\n\n  defp schedule_work do\n    Process.send_after(self(), :work, @work_delay)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/cached_fetch.ex",
    "content": "defmodule Unlock.CachedFetch do\n  @moduledoc \"\"\"\n  `Cachex` is used for caching. It expects caching callbacks to\n  return tuples such as `{:ignore, resp}`, `{:commit, resp, expire: xyz}` etc\n  to understand what we want it to do for us.\n\n  This module `CachedFetch` groups the fetching logic for two types of items where\n  it makes sense:\n  - `%Unlock.Config.Item.Generic.HTTP{}`\n  - `%Unlock.Config.Item.S3{}`\n\n  The response part of the tuple is standardized by us to `%Unlock.HTTP.Response{}` structures,\n  which are then serialized into RAM by `Cachex`.\n  \"\"\"\n\n  require Logger\n\n  # We put a hard limit on what can be cached, and otherwise will just\n  # send back without caching. This means the remote server is less protected\n  # temporarily, but also that we do not blow up our whole architecture due to\n  # RAM consumption\n  @max_allowed_cached_byte_size 20 * 1024 * 1024\n\n  # defaults\n  def fetch_data(_item, _http_client_options \\\\ [])\n\n  def fetch_data(%Unlock.Config.Item.Generic.HTTP{caching: \"disk\"} = item, _http_client_options) do\n    path = disk_path(item)\n    response = Unlock.HTTP.Client.impl().stream!(item.target_url, item.request_headers, path)\n    {:commit, %{response | body: path}, expire: :timer.seconds(item.ttl)}\n  end\n\n  def fetch_data(%Unlock.Config.Item.Generic.HTTP{} = item, http_client_options) do\n    response = Unlock.HTTP.Client.impl().get!(item.target_url, item.request_headers, http_client_options)\n    size = byte_size(response.body)\n\n    if size > @max_allowed_cached_byte_size do\n      Logger.warning(\"Payload is too large (#{size} bytes > #{@max_allowed_cached_byte_size}). Skipping cache.\")\n      {:ignore, response}\n    else\n      {:commit, response, expire: :timer.seconds(item.ttl)}\n    end\n  end\n\n  def fetch_data(%Unlock.Config.Item.GBFS{} = item, http_client_options) do\n    target_url = item.base_url |> String.replace(\"gbfs.json\", item.endpoint)\n    response = Unlock.HTTP.Client.impl().get!(target_url, item.request_headers, http_client_options)\n    size = byte_size(response.body)\n\n    if size > @max_allowed_cached_byte_size do\n      Logger.warning(\"Payload is too large (#{size} bytes > #{@max_allowed_cached_byte_size}). Skipping cache.\")\n      {:ignore, response}\n    else\n      {:commit, response, expire: :timer.seconds(item.ttl)}\n    end\n  end\n\n  def fetch_data(%Unlock.Config.Item.S3{} = item, _http_client_options) do\n    bucket = item.bucket |> String.to_existing_atom()\n    path = item.path\n    destination_path = disk_path(item)\n\n    # Verify if the response cached is still valid by comparing ETags\n    etag_cache_key = Unlock.Shared.cache_key(item.identifier, \"etag\")\n    cached_reponse = Cachex.get(Unlock.Shared.cache_name(), etag_cache_key)\n\n    etag =\n      case cached_reponse do\n        {:ok, %Unlock.HTTP.Response{headers: headers}} -> etag_value(headers)\n        _ -> nil\n      end\n\n    %{headers: headers, status_code: status_code} = Transport.S3.head_object!(bucket, path)\n    object_etag = etag_value(headers)\n\n    # ETags are still the same, keep the cached response (and file) for the TTL duration\n    if not is_nil(object_etag) and object_etag == etag do\n      {:ok, response} = cached_reponse\n      {:commit, response, expire: :timer.seconds(item.ttl)}\n      # File changed or cache expired: download the file to disk again\n    else\n      Transport.S3.download_file!(bucket, path, destination_path)\n      response = %Unlock.HTTP.Response{body: destination_path, status: status_code, headers: headers}\n      # Save a cache key without an expire, to check again the cache\n      Cachex.put(Unlock.Shared.cache_name(), etag_cache_key, response)\n      {:commit, response, expire: :timer.seconds(item.ttl)}\n    end\n  end\n\n  defp disk_path(item) do\n    System.tmp_dir!() |> Path.join(\"unlock_disk_cache:\" <> item.identifier)\n  end\n\n  defp etag_value(headers) do\n    Enum.find_value(headers, fn {k, v} -> if String.downcase(k) == \"etag\", do: v end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/config.ex",
    "content": "defmodule Unlock.Config do\n  @moduledoc \"\"\"\n  Defines the runtime configuration for the proxy.\n  \"\"\"\n  require Logger\n\n  defmodule Item.Generic.HTTP do\n    @moduledoc \"\"\"\n    An intermediate structure to add a bit of typing to the\n    external YAML configuration, for generic HTTP and gtfs-rt items.\n\n    It supports hardcoded request headers for e.g. simple authentication.\n\n    Default subtype is \"gtfs-rt\" for historical reasons, see `convert_yaml_item_to_struct` in the code.\n    Default caching mecanism is \"cachex\" but can be set to \"disk\" for larger payload.\n    \"\"\"\n    @enforce_keys [:identifier, :target_url, :ttl]\n    defstruct [\n      :identifier,\n      :slug,\n      :target_url,\n      :ttl,\n      caching: \"cachex\",\n      subtype: \"gtfs-rt\",\n      request_headers: [],\n      response_headers: []\n    ]\n  end\n\n  defmodule Item.SIRI do\n    @moduledoc \"\"\"\n    Intermediate structure for SIRI configured items.\n    \"\"\"\n    @enforce_keys [:identifier, :target_url, :requestor_ref]\n\n    @type t :: %__MODULE__{identifier: binary(), target_url: binary(), requestor_ref: binary(), request_headers: list()}\n    defstruct [:identifier, :target_url, :requestor_ref, request_headers: []]\n  end\n\n  defmodule Item.Aggregate do\n    @moduledoc \"\"\"\n    Intermediate structure for aggregated configured items.\n\n    Feeds (sub-items) are strongly typed\n    \"\"\"\n    @enforce_keys [:identifier, :feeds]\n\n    defstruct [:identifier, :feeds, :ttl]\n  end\n\n  defmodule Item.DynamicIRVEAggregate do\n    @moduledoc \"\"\"\n    Intermediate structure for dynamic IRVE aggregated configured items.\n\n    No TTL here: the aggregate is rebuilt on-the-fly from the latest per-feed\n    DataFrames in `Unlock.DynamicIRVE.FeedStore`, so nothing to expire.\n    \"\"\"\n    @enforce_keys [:identifier, :feeds]\n\n    defstruct [:identifier, :feeds]\n  end\n\n  defmodule Item.S3 do\n    @moduledoc \"\"\"\n    Intermediate structure for S3-based configured items.\n    \"\"\"\n\n    @enforce_keys [:identifier, :bucket, :path, :ttl]\n    defstruct [\n      :identifier,\n      :bucket,\n      :path,\n      :ttl,\n      response_headers: []\n    ]\n  end\n\n  defmodule Item.GBFS do\n    @moduledoc \"\"\"\n    Intermediate structure for GBFS configured feeds.\n    \"\"\"\n    @enforce_keys [:identifier, :base_url, :ttl]\n    defstruct [\n      :identifier,\n      :base_url,\n      :endpoint,\n      :ttl,\n      request_headers: [],\n      response_headers: []\n    ]\n  end\n\n  defmodule Fetcher do\n    @moduledoc \"\"\"\n    A behaviour + shared methods for config fetching.\n    \"\"\"\n    @callback fetch_config!() :: list(Item)\n    @callback clear_config_cache!() :: any\n\n    def convert_aggregate_sub_item(sub_item) do\n      sub_item\n      # Default to generic-http (typically used for IRVE)\n      |> Map.put_new(\"type\", \"generic-http\")\n      # Use a default 10-second TTL for sub-feeds, unless specified in the config\n      |> Map.put_new(\"ttl\", 10)\n      |> convert_yaml_item_to_struct()\n    end\n\n    def convert_yaml_item_to_struct(%{\"type\" => \"aggregate\"} = item) do\n      %Item.Aggregate{\n        identifier: Map.fetch!(item, \"identifier\"),\n        # NOTE: ultimately a map (key = identifier) would be better than an array here,\n        # but that will do for now as the number of items is low\n        feeds: item |> Map.fetch!(\"feeds\") |> Enum.map(&convert_aggregate_sub_item(&1)),\n        ttl: Map.get(item, \"ttl\", 10)\n      }\n    end\n\n    def convert_yaml_item_to_struct(%{\"type\" => \"dynamic-irve-aggregate\"} = item) do\n      %Item.DynamicIRVEAggregate{\n        identifier: Map.fetch!(item, \"identifier\"),\n        feeds: item |> Map.fetch!(\"feeds\") |> Enum.map(&convert_aggregate_sub_item(&1))\n      }\n    end\n\n    def convert_yaml_item_to_struct(%{\"type\" => \"siri\"} = item) do\n      %Item.SIRI{\n        identifier: Map.fetch!(item, \"identifier\"),\n        target_url: Map.fetch!(item, \"target_url\"),\n        requestor_ref: Map.fetch!(item, \"requestor_ref\"),\n        request_headers: parse_config_http_headers(Map.get(item, \"request_headers\", []))\n      }\n    end\n\n    @doc \"\"\"\n    At the moment, GTFS-RT is just an alias for HTTP generic. This is done\n    to make it easier to achieve alternate processing later if needed.\n    \"\"\"\n    def convert_yaml_item_to_struct(%{\"type\" => subtype} = item) when subtype in [\"generic-http\", \"gtfs-rt\"] do\n      %Item.Generic.HTTP{\n        identifier: Map.fetch!(item, \"identifier\"),\n        slug: Map.get(item, \"slug\"),\n        target_url: Map.fetch!(item, \"target_url\"),\n        # By default, no TTL\n        ttl: Map.get(item, \"ttl\", 0),\n        # The caching mecanism, by default set to Cachex\n        caching: Map.get(item, \"caching\", \"cachex\"),\n        # keep the subtype in case we need to do alternate processing later, without creating too many types too soon\n        subtype: subtype,\n        request_headers: parse_config_http_headers(Map.get(item, \"request_headers\", [])),\n        response_headers: parse_config_http_headers(Map.get(item, \"response_headers\", []))\n      }\n    end\n\n    def convert_yaml_item_to_struct(%{\"type\" => \"gbfs\"} = item) do\n      %Item.GBFS{\n        identifier: Map.fetch!(item, \"identifier\"),\n        base_url: Map.fetch!(item, \"base_url\"),\n        # By default, no TTL\n        ttl: Map.get(item, \"ttl\", 0),\n        request_headers: parse_config_http_headers(Map.get(item, \"request_headers\", [])),\n        response_headers: parse_config_http_headers(Map.get(item, \"response_headers\", []))\n      }\n    end\n\n    def convert_yaml_item_to_struct(%{\"type\" => \"s3\"} = item) do\n      %Item.S3{\n        identifier: Map.fetch!(item, \"identifier\"),\n        bucket: Map.fetch!(item, \"bucket\"),\n        path: Map.fetch!(item, \"path\"),\n        ttl: Map.get(item, \"ttl\", 10),\n        response_headers: parse_config_http_headers(Map.get(item, \"response_headers\", []))\n      }\n    end\n\n    # provide an automatic upgrade path for existing configuration, to be\n    # deprecated later\n    def convert_yaml_item_to_struct(item) when not is_map_key(item, \"type\") do\n      convert_yaml_item_to_struct(Map.put(item, \"type\", \"gtfs-rt\"))\n    end\n\n    def convert_yaml_to_config_items(body) do\n      body\n      |> YamlElixir.read_from_string!()\n      |> Map.fetch!(\"feeds\")\n      |> Enum.map(&convert_yaml_item_to_struct(&1))\n    end\n\n    @doc \"\"\"\n    In the YAML, we use an array of 2-element arrays to specify optional hardcoded request headers.\n    This method converts that to a list of tuple, commonly used for HTTP headers\n    (e.g. `Mint.Types.headers()` in https://github.com/elixir-mint/mint/blob/main/lib/mint/types.ex)\n    \"\"\"\n    def parse_config_http_headers(list) do\n      list\n      |> Enum.map(fn [k, v] -> {k, v} end)\n    end\n\n    # for easy access, we're indexing items by identifier\n    # caveat: this will raise if more than 2 items share\n    # the same slug/identifier\n    def index_items_by_unique_identifier(items) do\n      items\n      |> Enum.group_by(& &1.identifier)\n      |> Enum.map(fn {k, [v]} -> {k, v} end)\n      |> Enum.into(%{})\n    end\n  end\n\n  defmodule GitHub do\n    import Unlock.Shared, only: [cache_name: 0]\n    @behaviour Fetcher\n\n    @proxy_config_cache_key \"config:proxy\"\n\n    @moduledoc \"\"\"\n    Fetch the configuration from GitHub and cache it in RAM using Cachex.\n\n    This will allow expiry via a simple key deletion.\n    \"\"\"\n    @impl Fetcher\n    def fetch_config! do\n      # NOTE: this won't handle errors correctly at this point\n      fetch_config = fn _key -> {:commit, fetch_config_no_cache!()} end\n\n      case {_operation, _result} = Cachex.fetch(cache_name(), @proxy_config_cache_key, fetch_config) do\n        {:commit, result} ->\n          Cachex.persist(cache_name(), @proxy_config_cache_key)\n          result\n\n        {:ok, result} ->\n          result\n      end\n    end\n\n    @impl Fetcher\n    def clear_config_cache! do\n      Cachex.del!(cache_name(), @proxy_config_cache_key)\n    end\n\n    @doc \"\"\"\n    Retrieve the configuration from GitHub as a map.\n    \"\"\"\n    def fetch_config_no_cache! do\n      fetch_config_from_github!()\n      |> Fetcher.convert_yaml_to_config_items()\n      |> Fetcher.index_items_by_unique_identifier()\n    end\n\n    defp fetch_config_from_github! do\n      Logger.info(\"Fetching proxy config from GitHub\")\n      config_url = Application.fetch_env!(:transport, :unlock_github_config_url)\n      github_token = Application.fetch_env!(:transport, :unlock_github_auth_token)\n\n      %{status: 200, body: body} =\n        Unlock.HTTP.Client.impl().get!(config_url, [{\"Authorization\", \"token #{github_token}\"}], [])\n\n      body\n    end\n  end\n\n  defmodule Disk do\n    @behaviour Fetcher\n    require Logger\n\n    @moduledoc \"\"\"\n    Fetch the configuration from a file on disk (useful for development or disk-based persistence).\n    \"\"\"\n    @impl Fetcher\n    def fetch_config! do\n      config_file = Application.fetch_env!(:transport, :unlock_disk_config_file)\n\n      config_file\n      |> File.read!()\n      |> Fetcher.convert_yaml_to_config_items()\n      |> Fetcher.index_items_by_unique_identifier()\n    end\n\n    @impl Fetcher\n    def clear_config_cache! do\n      Logger.info(\"Clearing cache config (no-op)\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/controller.ex",
    "content": "defmodule Unlock.Controller do\n  @moduledoc \"\"\"\n  The main controller for proxying, focusing on simplicity and runtime control.\n\n  This currently implements an in-RAM (Cachex) loading of the resource, with a reduced\n  set of headers that we will improve over time.\n\n  Future evolutions will very likely support disk caching, compression etc.\n\n  Useful resources for later maintenance:\n  - https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers\n  - https://www.mnot.net/blog/2011/07/11/what_proxies_must_do\n  \"\"\"\n\n  use Phoenix.Controller, formats: [html: \"View\", json: \"View\"]\n  require Logger\n  import Unlock.GunzipTools\n\n  @doc \"\"\"\n  A simple index \"page\", useful to verify that the proxy is up, since it is served\n  on a subdomain (`https://proxy.transport.data.gouv.fr`).\n  \"\"\"\n  def index(conn, _params) do\n    text(conn, \"Unlock Proxy\")\n  end\n\n  @doc \"\"\"\n  The central controller action responsible for serving a given resource.\n\n  Based on the provided slug/id, a look-up is done on the configuration.\n\n  For production environments, the configuration is GitHub-based\n  (https://github.com/transportdatagouvfr/proxy-config/blob/master/proxy-config.yml).\n\n  When working locally, the config is loaded from disk (`config/proxy-config.yml`)\n  at each request, so that one can tweak it easily when iterating locally.\n\n  Configuration items are strongly typed, such as:\n  - `%Unlock.Config.Item.Generic.HTTP{}` for HTTP-provided single GTFS-RT & CSV feeds\n  - `%Unlock.Config.Item.Aggregate{}` for multi-HTTP-sources aggregate (dynamic IRVE feed only)\n  - `%Unlock.Config.Item.S3{}` for internal-S3-backed single file feeds (CSV or anything really)\n  - `%Unlock.Config.Item.SIRI{}` for SIRI proxying (experimental)\n  - `%Unlock.Config.Item.GBFS{}` for GBFS feeds (with multiple endpoints)\n\n  Once the item is found in configuration, different `process_resource` pattern-matching variants\n  are doing specific processing, depending on the item type.\n\n  If the corresponding item is not found in the configuration, a standard `404`\n  is returned.\n\n  There is a catch-all doing only logging and returning a blank `500` with\n  default message, when an unhandled exception is caught.\n\n  ### Metrics handling\n\n  #### \"External\" queries\n\n  An \"external query\" is counted when the proxy receives a HTTP query from the outside world\n  (hence the name \"external\"). When it happens, each relevant piece of code here emits an\n  `:external` metric telemetry event:\n\n  ```elixir\n  Unlock.Telemetry.trace_request(item.identifier, :external)\n  ```\n\n  This allows us to count, and report on, the total traffic we are handling, for each proxy item.\n\n  #### \"Internal\" queries\n\n  When an \"external query\" occurs, there are two scenarios:\n  - the content is not yet, or not anymore, in the cache for the corresponding item:\n    in this case, the processing occurs, and we cound an `:internal` query on the same\n    identifier, to track down the fact that we are actually querying the server we are\n    protecting\n  - or the content is already in cache and not expired, in which case we _do not_ emit\n    an `:internal` metric event.\n\n  ```elixir\n  Unlock.Telemetry.trace_request(item.identifier, :internal)\n  ```\n\n  #### Usefulness of the metrics\n\n  Because of this system & the split between `:external` and `:internal`, we are able to\n  give insights on how much trafic we are handling in the name of third-parties, and also\n  what is the ratio between `:external` and `:internal` queries.\n\n  #### For extra reading on how metrics are stored & managed\n\n  - See `Unlock.Telemetry`\n  - And `Transport.Telemetry`\n  \"\"\"\n  def fetch(conn, %{\"id\" => id} = params) do\n    config = Application.fetch_env!(:transport, :unlock_config_fetcher).fetch_config!()\n\n    resource =\n      case Map.get(config, id) do\n        %Unlock.Config.Item.GBFS{} = item -> %{item | endpoint: Map.get(params, \"endpoint\")}\n        item -> item\n      end\n\n    if resource do\n      conn\n      |> process_resource(resource)\n    else\n      conn\n      |> send_resp(404, \"Not Found\")\n    end\n  rescue\n    exception ->\n      # NOTE: we catch the exception to return a controlled/blank answer in production.\n      Logger.error(\"An exception occurred (#{exception |> inspect}\")\n\n      case Application.fetch_env!(:transport, :unlock_controller_rescue_mode) do\n        # give a bit more context when working in development\n        :verbose ->\n          Logger.error(Exception.format_stacktrace())\n\n        # in test, it is inconvenient to receive a 500, instead we re-raise\n        # to make it easier to do ExUnit assertions & avoid swallowed Mox expectations\n        :reraise ->\n          reraise exception, __STACKTRACE__\n\n        :silent ->\n          :ok\n      end\n\n      conn\n      |> send_resp(500, \"Internal Error\")\n  end\n\n  @doc \"\"\"\n  For `Generic.HTTP` items, hardcoded response headers can be\n  provided in the YAML configuration.\n\n  This is especially useful to hardcode the filename as we want,\n  and ensure HTTP clients will get the CSV extension, which is\n  not in the proxy url.\n\n  ### Example\n\n  ```yml\n  - identifier: provider-dynamic-irve\n    target_url: XYZ\n    type: generic-http\n    ttl: 10\n    response_headers:\n      - [\"content-disposition\", \"attachment; filename=provider-dynamic-irve.csv\"]\n      - [\"content-type\", \"text/csv\"]\n  ```\n  \"\"\"\n  def override_resp_headers_if_configured(conn, %module{} = item)\n      when module in [Unlock.Config.Item.Generic.HTTP, Unlock.Config.Item.GBFS, Unlock.Config.Item.S3] do\n    Enum.reduce(item.response_headers, conn, fn {header, value}, conn ->\n      conn\n      |> put_resp_header(header |> String.downcase(), value)\n    end)\n  end\n\n  import Unlock.Params, only: [to_boolean: 1, to_nil_or_integer: 1]\n\n  defp process_resource(%Plug.Conn{method: \"GET\"} = conn, %Unlock.Config.Item.DynamicIRVEAggregate{} = item) do\n    Unlock.Telemetry.trace_request(item.identifier, :external)\n    Unlock.DynamicIRVE.Controller.serve(conn, item)\n  end\n\n  # `process_resource` variant for aggregated CSV item (dynamic IRVE consolidation).\n  defp process_resource(%Plug.Conn{method: \"GET\"} = conn, %Unlock.Config.Item.Aggregate{} = item) do\n    Unlock.Telemetry.trace_request(item.identifier, :external)\n    # NOTE: required for tests to work, and doesn't hurt in production (idempotent afaik)\n    conn = conn |> Plug.Conn.fetch_query_params()\n\n    options = [\n      limit_per_source: conn.query_params[\"limit_per_source\"] |> to_nil_or_integer(),\n      include_origin: conn.query_params[\"include_origin\"] |> to_boolean()\n    ]\n\n    body_response = Unlock.AggregateProcessor.process_resource(item, options)\n    filename = \"#{item.identifier}-#{DateTime.utc_now() |> DateTime.to_iso8601()}.csv\"\n\n    conn\n    |> put_resp_header(\"content-disposition\", \"attachment; filename=#{filename}\")\n    |> send_resp(200, body_response)\n  end\n\n  # `process_resource` variant for `Item.S3` items.\n  defp process_resource(%Plug.Conn{method: \"GET\"} = conn, %Unlock.Config.Item.S3{} = item) do\n    Unlock.Telemetry.trace_request(item.identifier, :external)\n\n    displayed_filename = Path.basename(item.path)\n\n    conn =\n      conn\n      |> put_resp_header(\"content-disposition\", \"attachment; filename=#{displayed_filename}\")\n      |> override_resp_headers_if_configured(item)\n\n    case fetch_remote(item) do\n      %Unlock.HTTP.Response{status: 200} = response ->\n        conn |> send_file(response.status, response.body)\n\n      response ->\n        conn |> send_resp(response.status, response.body)\n    end\n  end\n\n  # `process_resource` for larger HTTP feeds which are cached to disk.\n  defp process_resource(%Plug.Conn{method: \"GET\"} = conn, %Unlock.Config.Item.Generic.HTTP{caching: \"disk\"} = item) do\n    Unlock.Telemetry.trace_request(item.identifier, :external)\n    response = fetch_remote(item)\n\n    send_http_response(conn, response, item)\n    |> send_file(response.status, response.body)\n  end\n\n  # `process_resource` variant for generic HTTP (GTFS-RT, single-file CSV) items\n  # leverages `fetch_remote` with pattern matching as well.\n  defp process_resource(%Plug.Conn{method: \"GET\"} = conn, %Unlock.Config.Item.Generic.HTTP{} = item) do\n    Unlock.Telemetry.trace_request(item.identifier, :external)\n    response = fetch_remote(item)\n\n    send_http_response(conn, response, item)\n    |> send_resp(response.status, response.body)\n  end\n\n  defp process_resource(conn, %Unlock.Config.Item.Generic.HTTP{}), do: send_not_allowed(conn)\n\n  # NOTE: this code is designed for private use for now. I have tracked\n  # what is required or useful for public opening later here:\n  # https://github.com/etalab/transport-site/issues/2476\n  #\n  # SIRI support is experimental. For now we are encouraging instead SIRI provider to\n  # get their game up and improve their ops & software, so that they can directly handle\n  # SIRI loads without the proxy.\n  #\n  # For SIRI, only `POST` is allowed since this is the protocol.\n  #\n  # The code analyses the incoming XML payload, & replace the `requestor_ref` (used sometimes\n  # as an API key) transparently with the one we have configured.\n  #\n  defp process_resource(%Plug.Conn{method: \"POST\"} = conn, %Unlock.Config.Item.SIRI{} = item) do\n    {:ok, body, conn} = Plug.Conn.read_body(conn, length: 1_000_000)\n\n    parsed = Unlock.SIRI.parse_incoming(body)\n\n    {modified_xml, external_requestor_refs} =\n      Unlock.SIRI.RequestorRefReplacer.replace_requestor_ref(parsed, item.requestor_ref)\n\n    # NOTE: here we assert both that the requestor ref is what is expected, but also that it\n    # is met once only. I am not deduping them at the moment on purpose, maybe we'll do that\n    # later based on experience.\n    if external_requestor_refs == [Application.fetch_env!(:transport, :unlock_siri_public_requestor_ref)] do\n      handle_authorized_siri_call(conn, item, modified_xml)\n    else\n      send_resp(conn, 403, \"Forbidden\")\n    end\n  end\n\n  # Forbid `GET` calls for SIRI, explicitely, since this is not the way to issue a SIRI call.\n  defp process_resource(%Plug.Conn{method: \"GET\"} = conn, %Unlock.Config.Item.SIRI{}),\n    do: send_not_allowed(conn)\n\n  defp process_resource(%Plug.Conn{method: \"GET\"} = conn, %Unlock.Config.Item.GBFS{endpoint: nil}) do\n    conn |> send_resp(404, \"Not Found\")\n  end\n\n  defp process_resource(%Plug.Conn{method: \"GET\"} = conn, %Unlock.Config.Item.GBFS{} = item) do\n    Unlock.Telemetry.trace_request(item.identifier, :external)\n    response = fetch_remote(item)\n\n    parsed = URI.parse(item.base_url)\n    base_url = %URI{parsed | path: String.replace(parsed.path, \"gbfs.json\", \"\"), query: nil} |> URI.to_string()\n\n    # Replace `base_url` with the proxy base URL and remove query parameters\n    replace =\n      String.replace(Unlock.Router.Helpers.resource_url(conn, :fetch, item.identifier) <> \"/\", \"://\", \"://proxy.\")\n\n    body = String.replace(response.body, base_url, replace) |> String.replace(\"?\" <> to_string(parsed.query), \"\")\n\n    response.headers\n    |> prepare_response_headers()\n    |> Enum.reduce(conn, fn {h, v}, c -> put_resp_header(c, h, v) end)\n    |> override_resp_headers_if_configured(item)\n    |> send_resp(response.status, body)\n  end\n\n  defp send_not_allowed(conn) do\n    conn\n    |> send_resp(405, \"Method Not Allowed\")\n  end\n\n  defp send_http_response(conn, response, %Unlock.Config.Item.Generic.HTTP{} = item) do\n    response.headers\n    |> prepare_response_headers()\n    |> Enum.reduce(conn, fn {h, v}, c -> put_resp_header(c, h, v) end)\n    # For now, we enforce the download. This will result in incorrect filenames\n    # if the content-type is incorrect, but is better than nothing.\n    |> put_resp_header(\"content-disposition\", \"attachment\")\n    |> override_resp_headers_if_configured(item)\n  end\n\n  @spec handle_authorized_siri_call(Plug.Conn.t(), Unlock.Config.Item.SIRI.t(), Saxy.XML.element()) :: Plug.Conn.t()\n  # The SIRI query is serialized into iodata, then a `POST` query is issued.\n  #\n  # On completion, we unzip if needed to smooth out implementations, filter response headers,\n  # and send back the answer to the client.\n  defp handle_authorized_siri_call(conn, %Unlock.Config.Item.SIRI{} = item, xml) do\n    body = Saxy.encode_to_iodata!(xml, version: \"1.0\")\n\n    response = Unlock.HTTP.Client.impl().post!(item.target_url, item.request_headers, body)\n\n    headers = response.headers |> lowercase_headers()\n\n    # NOTE: for now, we unzip systematically. This will make it easier\n    # to analyse payloads & later remove sensitive data, even if we\n    # re-zip afterwards.\n    body = maybe_gunzip(response.body, headers)\n\n    headers\n    |> filter_response_headers()\n    |> Enum.reduce(conn, fn {h, v}, c -> put_resp_header(c, h, v) end)\n    # No content-disposition as attachment for now\n    |> send_resp(response.status, body)\n  end\n\n  # A wrapper grouping reused logic for two cases:\n  # - `%Unlock.Config.Item.Generic.HTTP{}` (GTFS-RT, external CSV etc)\n  # - `%Unlock.Config.Item.S3{}` (internal S3 backend)\n  #\n  # The `Cachex` logic is mutualized between those two cases.\n  #\n  # Before querying the remote source, the `internal` query event is emitted\n  # to ensure the app takes the \"real remote query\" into account in the metrics.\n  #\n  # Processing varies between the two item types, thanks to pattern-matching\n  # in `Unlock.CachedFetch`.\n  defp fetch_remote(%module{} = item)\n       when module in [Unlock.Config.Item.Generic.HTTP, Unlock.Config.Item.S3, Unlock.Config.Item.GBFS] do\n    comp_fn = fn _key ->\n      Logger.debug(\"Processing proxy request for identifier #{item.identifier}\")\n\n      try do\n        Unlock.Telemetry.trace_request(item.identifier, :internal)\n        Unlock.CachedFetch.fetch_data(item)\n      rescue\n        e ->\n          # NOTE: if an error occurs around the HTTP query, then\n          # we want to track it down and return Bad Gateway\n          Logger.error(Exception.format(:error, e, __STACKTRACE__))\n          {:ignore, bad_gateway_response()}\n      end\n    end\n\n    cache_name = Unlock.Shared.cache_name()\n\n    cache_key =\n      case item do\n        %Unlock.Config.Item.GBFS{} -> Unlock.Shared.cache_key(item.identifier, item.endpoint)\n        _ -> Unlock.Shared.cache_key(item.identifier)\n      end\n\n    # NOTE: concurrent calls to `fetch` with the same key will result (here)\n    # in only one fetching call, which is a nice guarantee (avoid overloading of target)\n    outcome = Cachex.fetch(cache_name, cache_key, comp_fn)\n\n    case outcome do\n      {:ok, result} ->\n        Logger.debug(\"Proxy response for #{item.identifier} served from cache\")\n        result\n\n      {:commit, result} ->\n        result\n\n      {:ignore, result} ->\n        Logger.debug(\"Cache has been skipped for proxy response\")\n        result\n\n      {:error, _error} ->\n        # NOTE: we'll want to have some monitoring here, but not using Sentry\n        # because in case of troubles, we will blow up our quota.\n        Logger.error(\"Error while fetching key #{cache_key}\")\n        bad_gateway_response()\n    end\n  end\n\n  defp bad_gateway_response do\n    %Unlock.HTTP.Response{status: 502, body: \"Bad Gateway\", headers: [{\"content-type\", \"text/plain\"}]}\n  end\n\n  # Inspiration (MIT) here https://github.com/tallarium/reverse_proxy_plug\n  defp filter_response_headers(headers) do\n    Enum.filter(headers, fn {h, _v} -> Enum.member?(Shared.Proxy.forwarded_headers_allowlist(), h) end)\n  end\n\n  # This prepare response headers : we do not forward all response headers\n  # from the remote, only an allowed list of them, to avoid leaking sensitive data\n  # unknowingly.\n  defp prepare_response_headers(headers) do\n    headers\n    |> lowercase_headers()\n    |> filter_response_headers()\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/dynamic_irve/controller.ex",
    "content": "defmodule Unlock.DynamicIRVE.Controller do\n  @moduledoc \"\"\"\n  Serves HTTP requests for `Unlock.Config.Item.DynamicIRVEAggregate` items.\n\n  Query parameters (all optional):\n\n    * `status=1` — exclusive: returns JSON status of all feeds. Ignores `format`\n      and the data-shaping options below.\n    * `format=csv` (default) or `format=parquet` — format of the aggregated data.\n    * `include_origin=1` — adds an `origin` column (data formats only).\n    * `limit_per_source=N` — caps rows per origin (data formats only).\n  \"\"\"\n\n  import Plug.Conn\n  import Unlock.Params, only: [to_boolean: 1, to_nil_or_integer: 1]\n\n  alias Unlock.DynamicIRVE.{FeedStore, Renderer}\n\n  def serve(conn, %Unlock.Config.Item.DynamicIRVEAggregate{} = item) do\n    conn = fetch_query_params(conn)\n    dispatch(conn, item, to_boolean(conn.query_params[\"status\"]))\n  end\n\n  defp dispatch(conn, item, true), do: serve_status(conn, item)\n  defp dispatch(conn, item, false), do: serve_data(conn, item)\n\n  defp serve_status(conn, item) do\n    feeds = Enum.map(item.feeds, &feed_status(item.identifier, &1))\n    payload = %{feeds: feeds, row_count: feeds |> Enum.map(& &1.row_count) |> Enum.sum()}\n\n    conn\n    |> put_resp_content_type(\"application/json\")\n    |> send_resp(200, Jason.encode!(payload))\n  end\n\n  defp feed_status(parent_id, feed) do\n    data = FeedStore.get_feed(parent_id, feed.slug)\n    data |> status_fields(feed.slug) |> Map.put(:row_count, row_count(data))\n  end\n\n  defp status_fields(nil, slug), do: %{slug: slug, status: \"pending\"}\n\n  defp status_fields(%{error: nil, last_updated_at: t}, slug),\n    do: %{slug: slug, status: \"OK\", last_updated_at: t}\n\n  defp status_fields(%{error: e, last_errored_at: le, last_updated_at: lu}, slug),\n    do: %{slug: slug, status: \"KO\", error: e, last_errored_at: le, last_updated_at: lu}\n\n  defp row_count(%{df: %Explorer.DataFrame{} = df}), do: Explorer.DataFrame.n_rows(df)\n  defp row_count(_), do: 0\n\n  defp serve_data(conn, item), do: serve_data(conn, item, Renderer.aggregate(item))\n\n  defp serve_data(conn, _item, nil), do: send_resp(conn, 503, \"No data available yet\")\n\n  defp serve_data(conn, item, df) do\n    format = parse_format(conn.query_params[\"format\"])\n\n    opts = [\n      include_origin: to_boolean(conn.query_params[\"include_origin\"]),\n      limit_per_source: to_nil_or_integer(conn.query_params[\"limit_per_source\"])\n    ]\n\n    {body, content_type, extension} = Renderer.render(df, format, opts)\n    filename = \"#{item.identifier}-#{DateTime.utc_now() |> DateTime.to_iso8601()}.#{extension}\"\n\n    conn\n    |> put_resp_header(\"content-disposition\", \"attachment; filename=#{filename}\")\n    |> put_resp_content_type(content_type, charset(format))\n    |> send_resp(200, body)\n  end\n\n  defp parse_format(nil), do: :csv\n  defp parse_format(\"csv\"), do: :csv\n  defp parse_format(\"parquet\"), do: :parquet\n\n  defp charset(:csv), do: \"utf-8\"\n  defp charset(:parquet), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/dynamic_irve/feed_store.ex",
    "content": "defmodule Unlock.DynamicIRVE.FeedStore do\n  @moduledoc \"\"\"\n  ETS-backed cache of per-feed DataFrame snapshots.\n\n  Workers (`FeedWorker`) write on every tick; readers (controller, status)\n  read directly — no GenServer.call needed.\n  \"\"\"\n\n  @table __MODULE__\n\n  def create_table do\n    :ets.new(@table, [:set, :public, :named_table, read_concurrency: true])\n  end\n\n  def put_feed(parent_id, slug, data), do: :ets.insert(@table, {{parent_id, slug}, data})\n\n  def get_feed(parent_id, slug) do\n    case :ets.lookup(@table, {parent_id, slug}) do\n      [{_, data}] -> data\n      [] -> nil\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/dynamic_irve/feed_worker.ex",
    "content": "defmodule Unlock.DynamicIRVE.FeedWorker do\n  @moduledoc \"\"\"\n  Polls a single IRVE feed periodically and stores the latest snapshot in\n  `Unlock.DynamicIRVE.FeedStore`. HTTP and parsing errors are isolated so the\n  worker survives transient outages; the last good snapshot remains available\n  to readers during failures.\n  \"\"\"\n\n  use GenServer\n  require Logger\n\n  alias Unlock.DynamicIRVE.FeedStore\n\n  def start_link({parent_id, %Unlock.Config.Item.Generic.HTTP{} = feed}) do\n    GenServer.start_link(__MODULE__, {parent_id, feed}, name: via({parent_id, feed.slug}))\n  end\n\n  # Ensures (via the `:unique` Registry) that only one worker exists per\n  # `{parent_id, slug}` pair, even under race conditions. Not strictly\n  # required as-is (no lookups), but useful for future evolutions.\n  defp via(key), do: {:via, Registry, {Unlock.DynamicIRVE.Registry, key}}\n\n  @impl true\n  def init({parent_id, feed}) do\n    schedule_tick()\n    {:ok, {parent_id, feed}}\n  end\n\n  @impl true\n  def handle_info(:tick, {parent_id, feed} = state) do\n    schedule_tick()\n    fetch_and_process(parent_id, feed)\n    {:noreply, state}\n  end\n\n  # Catches HTTP errors and invalid CSV to avoid crashing the worker\n  defp fetch_and_process(parent_id, feed) do\n    # decode_body: false keeps raw binary (Req still handles gzip decompression)\n    case Transport.Req.impl().get!(feed.target_url, redirect_log_level: false, decode_body: false) do\n      %Req.Response{status: 200, body: body} ->\n        # infer_schema_length: 0 → all columns as strings\n        df =\n          body\n          |> Explorer.DataFrame.load_csv!(infer_schema_length: 0)\n          |> Explorer.DataFrame.select(expected_columns())\n\n        # TO DO: we might want to sample that in the future, to avoid consuming too much AppSignal quota,\n        # but I'll appreciate having it initially.\n        Logger.info(\"[DynamicIRVE] #{parent_id}/#{feed.slug} => HTTP 200, #{Explorer.DataFrame.n_rows(df)} rows\")\n\n        FeedStore.put_feed(parent_id, feed.slug, %{\n          df: df,\n          last_updated_at: DateTime.utc_now(),\n          error: nil\n        })\n\n      %Req.Response{status: status} ->\n        record_error(parent_id, feed.slug, \"HTTP #{status}\")\n    end\n  rescue\n    e -> record_error(parent_id, feed.slug, Exception.message(e))\n  end\n\n  # Logs + stores the error, preserving the last good df/last_updated_at.\n  defp record_error(parent_id, slug, message) do\n    Logger.warning(\"[DynamicIRVE] #{parent_id}/#{slug} => #{message}\")\n    previous = FeedStore.get_feed(parent_id, slug) || %{df: nil, last_updated_at: nil}\n\n    FeedStore.put_feed(\n      parent_id,\n      slug,\n      Map.merge(previous, %{error: message, last_errored_at: DateTime.utc_now()})\n    )\n  end\n\n  defp schedule_tick, do: Process.send_after(self(), :tick, tick_interval())\n\n  defp tick_interval, do: Application.fetch_env!(:transport, :dynamic_irve_tick_interval)\n\n  defp expected_columns, do: Transport.IRVE.DynamicIRVESchema.build_schema_fields_list()\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/dynamic_irve/renderer.ex",
    "content": "defmodule Unlock.DynamicIRVE.Renderer do\n  @moduledoc \"\"\"\n  Builds and renders the aggregated dynamic IRVE DataFrame.\n\n  `aggregate/1` concatenates the latest per-feed snapshots from\n  `Unlock.DynamicIRVE.FeedStore`, tagging each row with its source slug.\n  `render/3` serializes the result as CSV or Parquet, with optional\n  per-source row cap and origin column projection.\n  \"\"\"\n\n  alias Explorer.DataFrame\n  alias Unlock.DynamicIRVE.FeedStore\n\n  def aggregate(item) do\n    item.feeds\n    |> Enum.flat_map(&tagged_df(item.identifier, &1))\n    |> concat()\n  end\n\n  def render(df, format, opts) do\n    df\n    |> apply_limit(Keyword.get(opts, :limit_per_source))\n    |> DataFrame.select(columns(Keyword.get(opts, :include_origin, false)))\n    |> dump(format)\n  end\n\n  defp tagged_df(parent_id, feed) do\n    case FeedStore.get_feed(parent_id, feed.slug) do\n      %{df: %DataFrame{} = df} ->\n        [DataFrame.put(df, \"origin\", List.duplicate(feed.slug, DataFrame.n_rows(df)))]\n\n      _ ->\n        []\n    end\n  end\n\n  defp concat([]), do: nil\n  defp concat(dfs), do: DataFrame.concat_rows(dfs)\n\n  defp apply_limit(df, nil), do: df\n\n  defp apply_limit(df, n) when is_integer(n),\n    do: df |> DataFrame.group_by(\"origin\") |> DataFrame.head(n) |> DataFrame.ungroup()\n\n  defp columns(false), do: Transport.IRVE.DynamicIRVESchema.build_schema_fields_list()\n  defp columns(true), do: columns(false) ++ [\"origin\"]\n\n  defp dump(df, :csv), do: {DataFrame.dump_csv!(df), \"text/csv\", \"csv\"}\n  defp dump(df, :parquet), do: {DataFrame.dump_parquet!(df), \"application/vnd.apache.parquet\", \"parquet\"}\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/dynamic_irve_supervisor.ex",
    "content": "defmodule Unlock.DynamicIRVESupervisor do\n  @moduledoc \"\"\"\n  Root supervisor for the dynamic IRVE pipeline: owns the feed workers and\n  their ETS-backed store.\n\n  Call `sync_feeds/0` to align running workers with the latest proxy config —\n  invoked once at boot and on the backoffice \"refresh proxy config\" action.\n  \"\"\"\n\n  use Supervisor\n  require Logger\n\n  def start_link(_opts) do\n    Supervisor.start_link(__MODULE__, [], name: __MODULE__)\n  end\n\n  @impl true\n  def init(_opts) do\n    Unlock.DynamicIRVE.FeedStore.create_table()\n\n    children = [\n      # Unique-keys registry: guarantees at most one worker per (parent_id, slug),\n      # even under concurrent sync_feeds calls (e.g. boot Task + backoffice refresh).\n      {Registry, keys: :unique, name: Unlock.DynamicIRVE.Registry},\n      {DynamicSupervisor, name: Unlock.DynamicIRVE.FeedSupervisor, strategy: :one_for_one},\n      # Calls `sync_feeds/0` once at boot in a separate short-lived process: fetches\n      # the config (HTTP to GitHub) and (re)starts one poller per feed in the\n      # DynamicSupervisor above.\n      # `:temporary` → a failure is not restarted and does not affect sibling boot.\n      {Task, &initial_sync/0}\n    ]\n\n    Supervisor.init(children, strategy: :one_for_one)\n  end\n\n  @doc \"\"\"\n  Fetches the current proxy config, terminates all running feed workers, then\n  starts one per feed across all `DynamicIRVEAggregate` items. Called at boot\n  and on backoffice reload.\n\n  The brute-force approach avoids edge cases (renamed slug, changed URL, partial\n  drift) at the cost of a short data gap — acceptable for now.\n  \"\"\"\n  def sync_feeds do\n    config = Application.fetch_env!(:transport, :unlock_config_fetcher).fetch_config!()\n\n    stop_all(Unlock.DynamicIRVE.FeedSupervisor)\n\n    for item <- Map.values(config),\n        match?(%Unlock.Config.Item.DynamicIRVEAggregate{}, item),\n        feed <- item.feeds,\n        do: start_feed(item.identifier, feed)\n  end\n\n  @doc \"\"\"\n  Lists the currently running feed pollers as `{parent_id, slug}` tuples,\n  read from `Unlock.DynamicIRVE.Registry`. Useful for tests and the debug LiveView.\n  \"\"\"\n  def running_feed_pollers do\n    # ETS match spec: each Registry entry is `{key, pid, value}`. We bind the key\n    # to `:\"$1\"` (a positional capture, like a numbered placeholder) and ignore the\n    # rest with `:_`. The body `[:\"$1\"]` says \"return only what we captured\".\n    # Equivalent to `for {key, _pid, _value} <- entries, do: key`, but executed\n    # inside ETS without copying the table.\n    # See https://hexdocs.pm/elixir/Registry.html#select/2\n    Registry.select(Unlock.DynamicIRVE.Registry, [{{:\"$1\", :_, :_}, [], [:\"$1\"]}])\n  end\n\n  # `sync_feeds/0` may raise (HTTP to GitHub) — let it crash: the `:temporary` Task\n  # isolates the failure (boot is unaffected) and the stack trace bubbles up to Sentry.\n  # Disabled in test so the config fetcher Mox mock needs no default expectation.\n  defp initial_sync do\n    if Application.fetch_env!(:transport, :dynamic_irve_initial_sync), do: sync_feeds()\n  end\n\n  defp stop_all(supervisor) do\n    for {_, pid, _, _} <- DynamicSupervisor.which_children(supervisor) do\n      DynamicSupervisor.terminate_child(supervisor, pid)\n    end\n  end\n\n  defp start_feed(parent_id, feed) do\n    Logger.info(\"[DynamicIRVE] Starting feed #{parent_id}/#{feed.slug}\")\n\n    DynamicSupervisor.start_child(\n      Unlock.DynamicIRVE.FeedSupervisor,\n      {Unlock.DynamicIRVE.FeedWorker, {parent_id, feed}}\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/enforce_ttl.ex",
    "content": "defmodule Unlock.EnforceTTL do\n  @moduledoc \"\"\"\n  A module running a method every 5s to make sure that all proxy keys have an appropriate TTL.\n\n  If a cache key does not have a TTL or if its TTL\n  is greater than the item's configuration,\n  it is deleted.\n\n  This module is a work-around for an issue we faced with Cachex, see:\n  - https://github.com/etalab/transport-site/issues/2028\n  - https://github.com/etalab/transport-site/pull/2961\n  - https://github.com/whitfin/cachex/issues/304\n\n  At time of writing, it is believed that the issue still occur in rare occasions:\n  - https://github.com/etalab/transport-site/issues/2976\n  \"\"\"\n  use GenServer\n  import Unlock.Shared\n\n  def start_link(_opts) do\n    GenServer.start_link(__MODULE__, %{})\n  end\n\n  @impl true\n  def init(state) do\n    schedule_work()\n    {:ok, state}\n  end\n\n  @impl true\n  def handle_info(:work, state) do\n    cache_keys()\n    # For S3 items we store another key ending with `:etag` without a TTL\n    |> Enum.reject(&String.ends_with?(&1, \":etag\"))\n    |> Enum.each(fn key -> enforce_ttl(key, cache_ttl(key)) end)\n\n    schedule_work()\n    {:noreply, state}\n  end\n\n  defp enforce_ttl(key, {:ok, ttl}) do\n    ttl_over_config_value = is_integer(ttl) and ttl > ttl_config_value(key)\n\n    if is_nil(ttl) or ttl_over_config_value do\n      Sentry.capture_message(\"Removed #{key} from cache. ttl was #{ttl} while config is #{ttl_config_value(key)}\")\n      Cachex.del(cache_name(), key)\n    end\n  end\n\n  defp ttl_config_value(cache_key) do\n    (cache_key |> proxy_config()).ttl * 1000\n  end\n\n  # Figure out which proxy config item corresponds to a given cache key\n  defp proxy_config(cache_key) do\n    config = Application.fetch_env!(:transport, :unlock_config_fetcher).fetch_config!()\n\n    parts =\n      cache_key\n      |> String.replace_prefix(cache_prefix(), \"\")\n      |> String.split(Unlock.Shared.cache_separator())\n\n    proxy_config_item(config, parts)\n  end\n\n  # \"regular\" items (`resource:identifier`)\n  def proxy_config_item(config, [identifier]) do\n    Map.fetch!(config, identifier)\n  end\n\n  # \"aggregate\" sub-items (`resource:identifier:sub_identifier`)\n  # \"gbfs\" sub feeds (`resource:identifier:gbfs.json`)\n  def proxy_config_item(config, [identifier, sub_identifier]) do\n    case Map.get(config, identifier) do\n      %Unlock.Config.Item.Aggregate{} ->\n        config\n        |> Map.fetch!(identifier)\n        |> Map.fetch!(:feeds)\n        |> Enum.filter(&(&1.identifier == sub_identifier))\n        |> hd()\n\n      %Unlock.Config.Item.GBFS{} ->\n        config |> Map.fetch!(identifier)\n    end\n  end\n\n  defp schedule_work do\n    Process.send_after(self(), :work, :timer.seconds(5))\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/gunzip_tools.ex",
    "content": "defmodule Unlock.GunzipTools do\n  @moduledoc \"\"\"\n  Decompress (gzip only) if needed. More algorithms can be added later based on real-life testing.\n\n  The Mint documentation contains useful bits to deal with more scenarios here\n  https://github.com/elixir-mint/mint/blob/main/pages/Decompression.md#decompressing-the-response-body\n  \"\"\"\n\n  # Make sure to lowercase the headers first with `lowercase_headers` if your HTTP client does not do it already.\n  def maybe_gunzip(body, headers) do\n    is_gzipped? = get_header(headers, \"content-encoding\") == [\"gzip\"]\n\n    if is_gzipped? do\n      :zlib.gunzip(body)\n    else\n      body\n    end\n  end\n\n  # Inspiration https://github.com/elixir-plug/plug/blob/v1.13.6/lib/plug/conn.ex#L615\n  def get_header(headers, key) do\n    for {^key, value} <- headers, do: value\n  end\n\n  def lowercase_headers(headers) do\n    headers |> Enum.map(fn {h, v} -> {String.downcase(h), v} end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/http_client.ex",
    "content": "defmodule Unlock.HTTP do\n  @moduledoc \"\"\"\n  At time of writing, I could not find how to use Mox with Finch in a trivial way.\n  I believe it can be done via mocking pools, but I was in a hurry, so it was easier\n  to implement a simple wrapper that we have control of, at least for time being.\n  \"\"\"\n\n  defmodule Response do\n    @moduledoc \"\"\"\n    A simple wrapper we control for HTTP responses. It is actually almost identical to Finch's responses.\n    \"\"\"\n\n    @enforce_keys [:body, :status, :headers]\n    defstruct [:body, :status, :headers]\n  end\n\n  defmodule Client do\n    @moduledoc \"\"\"\n    Behaviour and central access point for HTTP client operations.\n\n    NOTE: the return type is incorrect, should be Response.t().\n    \"\"\"\n\n    @typedoc \"\"\"\n    HTTP headers, with the same definition as Mint. See\n\n    https://github.com/elixir-mint/mint/blob/main/lib/mint/types.ex\n    \"\"\"\n    @type headers() :: [{header_name :: String.t(), header_value :: String.t()}]\n\n    @callback get!(url :: binary, headers :: headers(), options :: keyword()) :: any()\n    @callback post!(url :: binary, headers :: headers(), body :: binary) :: any()\n    @callback stream!(url :: binary, headers :: headers(), path :: binary) :: Unlock.HTTP.Response.t()\n\n    def impl, do: Application.fetch_env!(:transport, :unlock_http_client)\n  end\n\n  defmodule FinchImpl do\n    @moduledoc \"\"\"\n    A Finch-based implementation of the Client behaviour.\n    \"\"\"\n    @my_finch Unlock.Finch\n    @behaviour Client\n\n    def stream!(url, headers, path) do\n      file = File.open!(path, [:write])\n      response = %Unlock.HTTP.Response{body: nil, status: nil, headers: nil}\n\n      try do\n        {:ok, response} =\n          Finch.build(:get, url, headers)\n          |> Finch.stream(@my_finch, response, fn\n            {:status, status}, acc ->\n              %{acc | status: status}\n\n            {:headers, headers}, acc ->\n              %{acc | headers: headers}\n\n            {:data, chunk}, acc ->\n              IO.binwrite(file, chunk)\n              acc\n          end)\n\n        response\n      after\n        File.close(file)\n      end\n    end\n\n    # Implement HTTP GET with optional redirect support.\n    #\n    # If `max_redirects` is set to `0`, no redirect are allowed,\n    # and a single HTTP call will ever be made.\n    # If `max_redirects` is set to `1`, a maximum of two HTTP calls\n    # will be issued, and only one redirect is allowed.\n    #\n    # A basic `RuntimeError(\"TooManyRedirects\")` will be raised if\n    # the limit of redirects is raised.\n    def get!(url, headers, options \\\\ []) do\n      max_redirects = Keyword.get(options, :max_redirects, 0)\n      do_get!(url, headers, max_redirects + 1)\n    end\n\n    defp do_get!(_url, _headers, 0 = _max_redirects) do\n      raise(\"TooManyRedirects\")\n    end\n\n    # NOTE: supporting only minimal 302, since this is what data.gouv does for stable urls\n    @redirect_status 302\n\n    # In general, we want to avoid redirects when doing reverse proxy, since it\n    # will introduce extra operational troubles. At time of writing and except\n    # IRVE sources, no redirect is needed.\n    #\n    # For IRVE (aggregated) sources, though, we need to support data.gouv stable\n    # urls, since it make the list of sources easier to maintain.\n    #\n    # Finch does not support redirects natively though, so we add support for\n    # home-baked redirects.\n    #\n    # Ultimately, once Req hits v1.0, we will likely be better migrating this to Req,\n    # which provides services on top of Finch.\n    defp do_get!(url, headers, max_redirects) when is_integer(max_redirects) do\n      {:ok, response} =\n        :get\n        |> Finch.build(url, headers)\n        |> Finch.request(@my_finch)\n\n      response = %Response{\n        body: response.body,\n        status: response.status,\n        headers: response.headers\n      }\n\n      if response.status == @redirect_status do\n        [target_url] = for {\"location\", value} <- response.headers, do: value\n        do_get!(target_url, headers, max_redirects - 1)\n      else\n        response\n      end\n    end\n\n    def post!(url, headers, body) do\n      {:ok, response} =\n        :post\n        |> Finch.build(url, headers, body)\n        |> Finch.request(@my_finch)\n\n      %Response{\n        body: response.body,\n        status: response.status,\n        headers: response.headers\n      }\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/params.ex",
    "content": "defmodule Unlock.Params do\n  @moduledoc false\n\n  def to_boolean(nil), do: false\n  def to_boolean(\"0\"), do: false\n  def to_boolean(\"1\"), do: true\n\n  def to_nil_or_integer(nil), do: nil\n  def to_nil_or_integer(s), do: String.to_integer(s)\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/plugs/token_auth.ex",
    "content": "defmodule Unlock.Plugs.TokenAuth do\n  @moduledoc \"\"\"\n  A plug handling authorization for HTTP requests through tokens stored\n  in the database in the `token` table.\n\n  When a token is passed in the query parameters:\n  - If the request is authorized, the plug adds the token to the conn assigns for further use.\n  - Otherwise, respond with a 401 response.\n\n  If the request does not contain a token, the request can go through.\n\n  This plug is only active when the config value `:unlock_token_auth_enabled` is set to `true`.\n  \"\"\"\n  import Plug.Conn\n\n  def init(default), do: default\n\n  def call(%Plug.Conn{} = conn, _) do\n    if enabled?() do\n      do_call(conn)\n    else\n      conn\n    end\n  end\n\n  defp enabled?, do: Application.fetch_env!(:transport, :unlock_token_auth_enabled)\n\n  defp do_call(%Plug.Conn{} = conn) do\n    conn = fetch_query_params(conn)\n\n    case find_client(Map.get(conn.query_params, \"token\")) do\n      {:ok, token} ->\n        log_request(conn, token)\n        conn |> assign(:token, token)\n\n      :error ->\n        conn\n        |> put_status(:unauthorized)\n        |> Phoenix.Controller.json(%{error: \"You must set a valid token in the query parameters\"})\n        |> halt()\n    end\n  end\n\n  defp find_client(token) when is_binary(token) do\n    case DB.Repo.get_by(DB.Token, secret_hash: token) do\n      %DB.Token{} = token -> {:ok, token}\n      nil -> :error\n    end\n  end\n\n  defp find_client(_), do: {:ok, nil}\n\n  defp log_request(%Plug.Conn{} = conn, %DB.Token{} = token) do\n    if conn.request_path |> String.starts_with?(\"/resource/\") do\n      slug = conn.request_path |> String.trim_leading(\"/resource/\")\n\n      Ecto.Changeset.change(%DB.ProxyRequest{}, %{\n        time: DateTime.utc_now(),\n        token_id: token.id,\n        proxy_id: slug\n      })\n      |> DB.Repo.insert!()\n    end\n  end\n\n  defp log_request(%Plug.Conn{}, nil), do: :ok\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/router.ex",
    "content": "defmodule Unlock.Router do\n  use Phoenix.Router\n\n  pipeline :api do\n    plug(CORSPlug, origin: \"*\", expose: [\"*\"], credentials: false)\n    plug(TransportWeb.Plugs.AppSignalFilter)\n    plug(Unlock.Plugs.TokenAuth)\n  end\n\n  scope \"/\" do\n    pipe_through(:api)\n\n    get(\"/\", Unlock.Controller, :index)\n    get(\"/resource/:id\", Unlock.Controller, :fetch, as: :resource)\n    post(\"/resource/:id\", Unlock.Controller, :fetch, as: :resource)\n    get(\"/resource/:id/:endpoint\", Unlock.Controller, :fetch, as: :resource)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/shared.ex",
    "content": "defmodule Unlock.Shared do\n  @moduledoc \"\"\"\n  DRY helpers to access cache items (shared between Unlock and main app)\n  \"\"\"\n\n  def default_cache_expiration_seconds, do: 60\n\n  def cache_prefix, do: \"resource:\"\n  def cache_separator, do: \":\"\n  def cache_key(resource_slug), do: \"#{cache_prefix()}#{resource_slug}\"\n\n  def cache_key(resource_slug, sub_item_identifier),\n    do: \"#{cache_key(resource_slug)}#{cache_separator()}#{sub_item_identifier}\"\n\n  def cache_name, do: Unlock.Cachex\n  def cache_entry(cache_key), do: Cachex.get!(cache_name(), cache_key)\n  def cache_ttl(cache_key), do: Cachex.ttl(cache_name(), cache_key)\n\n  def cache_keys do\n    {:ok, keys} = Cachex.keys(cache_name())\n    keys |> Enum.filter(fn k -> String.starts_with?(k, cache_prefix()) end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/siri.ex",
    "content": "defmodule Unlock.SIRI do\n  @moduledoc \"\"\"\n  All the SIRI XML management functions are grouped here at this point.\n  \"\"\"\n\n  @doc \"\"\"\n  iex> Unlock.SIRI.parse_incoming(\"<elem attr='value'>text</elem>\")\n  {\"elem\", [{\"attr\", \"value\"}], [\"text\"]}\n  \"\"\"\n  @spec parse_incoming(binary()) :: Saxy.XML.element()\n  def parse_incoming(body) do\n    {:ok, parsed_request} = Saxy.SimpleForm.parse_string(body, cdata_as_characters: false)\n    parsed_request\n  end\n\n  defmodule RequestorRefReplacer do\n    @moduledoc \"\"\"\n    A module able to replace `RequestorRef` tags found in a\n    [simple form](https://www.erlang.org/doc/man/xmerl.html#export_simple-3) xmerl document,\n    all while returning the replaced values.\n    \"\"\"\n\n    @doc \"\"\"\n    The `RequestorRef` inner value must be replaced, and the replaced ones must be returned for verification:\n\n    iex> input = Unlock.SIRI.parse_incoming(\"<root><RequestorRef>before</RequestorRef></root>\")\n    iex> Unlock.SIRI.RequestorRefReplacer.replace_requestor_ref(input, \"after\")\n    {\n      {\"root\", [], [{\"RequestorRef\", [], [\"after\"]}]},\n      [\"before\"]\n    }\n\n    The replacement must occur even if the tag is namespaced:\n\n    iex> input = Unlock.SIRI.parse_incoming(\"<root><siri:RequestorRef>before</siri:RequestorRef></root>\")\n    iex> Unlock.SIRI.RequestorRefReplacer.replace_requestor_ref(input, \"after\")\n    {\n      {\"root\", [], [{\"siri:RequestorRef\", [], [\"after\"]}]},\n      [\"before\"]\n    }\n\n    Newline must not cause a crash:\n\n    iex> input = Unlock.SIRI.parse_incoming(\"<root>\\\\n<hello/></root>\")\n    iex> Unlock.SIRI.RequestorRefReplacer.replace_requestor_ref(input, \"ok\")\n    {\n      {\"root\", [], [\"\\n\", {\"hello\", [], []}]},\n      []\n    }\n    \"\"\"\n\n    @spec replace_requestor_ref(Saxy.XML.element(), binary(), list(binary())) :: {Saxy.XML.element(), list(binary())}\n    def replace_requestor_ref(_node, _new_requestor_ref, seen_requestor_refs \\\\ [])\n\n    def replace_requestor_ref({tag, attributes, [text]} = node, new_requestor_ref, seen_requestor_refs)\n        when is_binary(text) do\n      if tag_without_namespace(tag) == \"RequestorRef\" do\n        {{tag, attributes, [new_requestor_ref]}, [text | seen_requestor_refs]}\n      else\n        {node, seen_requestor_refs}\n      end\n    end\n\n    # required to support non-semantic newline (\\n) characters in the XML\n    def replace_requestor_ref(node, _, seen_requestor_refs) when is_binary(node) do\n      {node, seen_requestor_refs}\n    end\n\n    def replace_requestor_ref({tag, attributes, children}, new_requestor_ref, seen_requestor_refs)\n        when is_list(children) do\n      {children, seen_requestor_refs} =\n        Enum.map_reduce(children, seen_requestor_refs, fn e, acc ->\n          replace_requestor_ref(e, new_requestor_ref, acc)\n        end)\n\n      {{tag, attributes, children}, seen_requestor_refs}\n    end\n\n    @doc \"\"\"\n    The current version just ignores XML namespaces for now. This method helps extracting\n    the tag name without its namespace, to achieve comparison based on that.\n\n    iex> Unlock.SIRI.RequestorRefReplacer.tag_without_namespace(\"siri:RequestorRef\")\n    \"RequestorRef\"\n\n    iex> Unlock.SIRI.RequestorRefReplacer.tag_without_namespace(\"Hello\")\n    \"Hello\"\n    \"\"\"\n    def tag_without_namespace(tag) do\n      tag\n      |> String.split(\":\")\n      |> List.last()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/telemetry.ex",
    "content": "defmodule Unlock.Telemetry do\n  @moduledoc \"\"\"\n  Telemetry event naming for the proxy.\n  \"\"\"\n\n  @proxy_request_types [:external, :internal]\n\n  def proxy_request_types, do: @proxy_request_types\n\n  def proxy_request_event_name(request) when request in @proxy_request_types,\n    do: [:proxy, :request, request]\n\n  def proxy_request_event_names, do: @proxy_request_types |> Enum.map(&proxy_request_event_name/1)\n\n  @separator \":\"\n\n  def target_for_identifier(item_identifier) when is_binary(item_identifier) do\n    \"proxy\" <> @separator <> item_identifier\n  end\n\n  # aggregate feed support - which we could generalize in the future\n  def target_for_identifier([item_identifier, sub_item_identifier]) do\n    target_for_identifier(item_identifier <> @separator <> sub_item_identifier)\n  end\n\n  # This call will result in synchronous invoke of all registered handlers for the specified events.\n  # (for instance, check out `Transport.Telemetry#handle_event`, available at time of writing)\n  def trace_request(item_identifier, request_type) when request_type in @proxy_request_types do\n    :telemetry.execute([:proxy, :request, request_type], %{}, %{\n      target: target_for_identifier(item_identifier)\n    })\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/views/error_view.ex",
    "content": "defmodule Unlock.ErrorView do\n  def render(\"500.html\", _assigns) do\n    \"Internal Server Error\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/unlock/xml_helper.ex",
    "content": "defmodule XMLHelper do\n  @moduledoc \"\"\"\n  A bit of tooling to help work with XML\n  \"\"\"\n  def unnamespace(tag), do: tag |> String.split(\":\") |> List.last()\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/enroute_chouette_valid_client.ex",
    "content": "defmodule Transport.EnRouteChouetteValidClient.Wrapper do\n  @moduledoc \"\"\"\n  A client for the enRoute Chouette Valid API.\n  Documentation: https://documenter.getpostman.com/view/9950294/2sA3e2gVEE\n  \"\"\"\n\n  @callback create_a_validation(filepath :: Path.t()) :: binary()\n  @callback create_a_validation(filepath :: Path.t(), rule_set :: binary()) :: binary()\n  @callback get_a_validation(binary()) ::\n              :pending\n              | {:successful, binary(), integer()}\n              | {:warning, integer()}\n              | {:failed, integer()}\n              | :unexpected_validation_status\n  @callback get_messages(binary()) :: {binary(), map()}\n\n  def impl, do: Application.get_env(:transport, :enroute_validator_client)\nend\n\ndefmodule Transport.EnRouteChouetteValidClient do\n  @moduledoc \"\"\"\n  Implementation of the enRoute Chouette Valid API client.\n  \"\"\"\n  @behaviour Transport.EnRouteChouetteValidClient.Wrapper\n\n  @base_url \"https://chouette-valid.enroute.mobi/api/validations\"\n\n  @impl Transport.EnRouteChouetteValidClient.Wrapper\n  def create_a_validation(filepath, rule_set \\\\ \"enroute:starter-kit\") do\n    form =\n      {:multipart,\n       [\n         {\"validation[rule_set]\", rule_set},\n         {\"validation[include_schema]\", \"true\"},\n         make_file_part(\"validation[file]\", filepath)\n       ]}\n\n    %HTTPoison.Response{status_code: 201, body: body} = http_client().post!(@base_url, form, auth_headers())\n    body |> Jason.decode!() |> Map.fetch!(\"id\")\n  end\n\n  @impl Transport.EnRouteChouetteValidClient.Wrapper\n  def get_a_validation(validation_id) do\n    url = validation_url(validation_id)\n\n    %HTTPoison.Response{status_code: 200, body: body} = http_client().get!(url, auth_headers())\n\n    response = body |> Jason.decode!()\n\n    case response |> Map.fetch!(\"user_status\") do\n      \"pending\" ->\n        :pending\n\n      \"successful\" ->\n        {:successful, url, get_elapsed!(response)}\n\n      \"warning\" ->\n        {:warning, get_elapsed!(response)}\n\n      \"failed\" ->\n        {:failed, get_elapsed!(response)}\n\n      _ ->\n        :unexpected_validation_status\n    end\n  end\n\n  defp get_elapsed!(response) do\n    created_at = get_datetime!(response, \"started_at\")\n    updated_at = get_datetime!(response, \"ended_at\")\n    DateTime.diff(updated_at, created_at)\n  end\n\n  defp get_datetime!(map, key) do\n    raw_date = Map.fetch!(map, key)\n\n    case DateTime.from_iso8601(raw_date) do\n      {:ok, value, _offset} ->\n        value\n\n      {:error, reason} ->\n        raise ArgumentError, \"cannot parse #{inspect(raw_date)} as datetime, reasaon: #{inspect(reason)}\"\n    end\n  end\n\n  @impl Transport.EnRouteChouetteValidClient.Wrapper\n  def get_messages(validation_id) do\n    url = Path.join([validation_url(validation_id), \"messages\"])\n\n    %HTTPoison.Response{status_code: 200, body: body} = http_client().get!(url, auth_headers())\n    {url, body |> Jason.decode!()}\n  end\n\n  defp make_file_part(field_name, filepath) do\n    {:file, filepath, {\"form-data\", [{:name, field_name}, {:filename, Path.basename(filepath)}]}, []}\n  end\n\n  defp validation_url(validation_id) do\n    Path.join([@base_url, validation_id])\n  end\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\n\n  defp auth_headers do\n    [{\"authorization\", \"Token token=#{Application.fetch_env!(:transport, :enroute_validation_token)}\"}]\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/gbfs_validator.ex",
    "content": "defmodule Transport.Validators.GBFSValidator do\n  @moduledoc \"\"\"\n  Validate and extract metadata for GBFS feed using [the MobilityData GBFS validator](https://gbfs-validator.netlify.app) and our own metadata extractor.\n  \"\"\"\n  @github_repository \"MobilityData/gbfs-validator\"\n  @behaviour Transport.Validators.Validator\n\n  @impl Transport.Validators.Validator\n  def validate_and_save(%DB.Resource{url: url, format: \"gbfs\", id: resource_id}) do\n    result = Transport.GBFSMetadata.Wrapper.compute_feed_metadata(url)\n\n    {validator_version, validation_result} = result |> Map.fetch!(:validation) |> Map.pop!(:validator_version)\n\n    %DB.MultiValidation{\n      validation_timestamp: DateTime.utc_now(),\n      command: validator_command(),\n      validated_data_name: url,\n      validator: validator_name(),\n      result: Map.from_struct(validation_result),\n      digest: Map.from_struct(validation_result) |> Map.new(fn {k, v} -> {to_string(k), v} end) |> digest(),\n      metadata: %DB.ResourceMetadata{\n        metadata: Map.reject(result, fn {key, _val} -> key == :validation end),\n        resource_id: resource_id\n      },\n      resource_id: resource_id,\n      validator_version: validator_version\n    }\n    |> DB.Repo.insert!()\n\n    :ok\n  end\n\n  @impl Transport.Validators.Validator\n  def validator_name, do: @github_repository\n\n  defp validator_command, do: Application.fetch_env!(:transport, :gbfs_validator_url)\n\n  @doc \"\"\"\n  iex> digest(%{\"warnings_count\" => 2, \"errors_count\" => 3, \"issues\" => []})\n  %{\"errors_count\" => 3, \"warnings_count\" => 2}\n  iex> digest(%{\"issues\" => []})\n  %{}\n  \"\"\"\n  @spec digest(map) :: map\n  def digest(%{} = validation_result) do\n    Map.intersect(%{\"warnings_count\" => 0, \"errors_count\" => 0}, validation_result)\n  end\n\n  @impl Transport.Validators.Validator\n  def outdated?(_multi_validation), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/gtfs_rt_validator.ex",
    "content": "defmodule Transport.Validators.GTFSRT do\n  @moduledoc \"\"\"\n  Validate a GTFS-RT with gtfs-realtime-validator (https://github.com/MobilityData/gtfs-realtime-validator/)\n  \"\"\"\n  import Ecto.Query\n  alias DB.{Dataset, MultiValidation, Repo, Resource, ResourceHistory, ResourceMetadata}\n  alias Transport.Validators.GTFSRT\n  require Logger\n\n  @behaviour Transport.Validators.Validator\n\n  @validator_filename \"gtfs-realtime-validator-lib-1.0.0-SNAPSHOT.jar\"\n  @max_errors_per_section 5\n  # Error codes indicating that GTFS-RT identifiers do not match the GTFS identifiers.\n  # See https://github.com/MobilityData/gtfs-realtime-validator/blob/master/RULES.md\n  @id_mismatch_error_codes ~w(E003 E004 E011 E034)\n  @gtfs_rt_errors_threshold 50\n\n  def id_mismatch_error_codes, do: @id_mismatch_error_codes\n\n  @doc \"\"\"\n  Returns true if a GTFS-RT `MultiValidation` result is considered critical:\n  either at least #{@gtfs_rt_errors_threshold} id-mismatch errors, or at least one FATAL error.\n  \"\"\"\n  def critical_errors?(%DB.MultiValidation{result: %{\"errors\" => errors}}) do\n    id_mismatch_count =\n      errors\n      |> Enum.filter(&(&1[\"error_id\"] in id_mismatch_error_codes()))\n      |> Enum.sum_by(& &1[\"errors_count\"])\n\n    id_mismatch_count >= @gtfs_rt_errors_threshold or Enum.any?(errors, &(&1[\"error_id\"] == \"FATAL\"))\n  end\n\n  def critical_errors?(%DB.MultiValidation{result: nil}), do: false\n\n  @impl Transport.Validators.Validator\n  def validator_name, do: \"gtfs-realtime-validator\"\n\n  @impl Transport.Validators.Validator\n  def validate_and_save(%Dataset{} = dataset), do: run_validate_and_save(dataset)\n  def validate_and_save(%Resource{format: \"gtfs-rt\"} = resource), do: run_validate_and_save(resource)\n\n  defp run_validate_and_save(dataset_or_resource) do\n    resources = gtfs_rt_resources(dataset_or_resource)\n\n    try do\n      resources\n      |> snapshot_gtfs_rts()\n      |> Enum.reject(&(elem(&1, 2) == :error))\n      |> Enum.each(fn snapshot -> run_validator_and_save(snapshot) end)\n    after\n      Logger.debug(\"Cleaning up temporary files\")\n      Enum.each(resources, fn tuple -> tuple |> Tuple.to_list() |> Enum.each(&delete_tmp_files/1) end)\n    end\n\n    :ok\n  end\n\n  defp run_validator_and_save({gtfs_resource, rt_resource, {:ok, gtfs_rt_path, cellar_filename}} = snapshot, opts \\\\ []) do\n    opts = Keyword.validate!(opts, ignore_shapes: false)\n    ignore_shapes = Keyword.fetch!(opts, :ignore_shapes)\n    gtfs_path = download_path(gtfs_resource)\n    gtfs_resource_history = gtfs_resource.resource_history |> Enum.at(0)\n    download_latest_gtfs(gtfs_resource_history, gtfs_path)\n    validator_args = validator_arguments(gtfs_path, gtfs_rt_path, opts)\n\n    report =\n      with {:ok, _} <- GTFSRT.run_validator(validator_args),\n           {:ok, report} <- rt_resource |> gtfs_rt_result_path() |> GTFSRT.convert_validator_report(opts) do\n        report\n      else\n        :error ->\n          fatal_report()\n\n        {:error, message} ->\n          if not ignore_shapes and String.contains?(message, \"java.lang.OutOfMemoryError\") do\n            run_validator_and_save(snapshot, ignore_shapes: true)\n          end\n\n          nil\n      end\n\n    if report do\n      insert_multi_validation(\n        rt_resource,\n        GTFSRT.build_validation_details(gtfs_resource_history, report, cellar_filename),\n        validator_args,\n        gtfs_resource,\n        gtfs_resource_history\n      )\n    end\n  end\n\n  @spec validator_arguments(binary(), binary(), ignore_shapes: boolean()) :: {binary(), [binary()]}\n  def validator_arguments(gtfs_path, gtfs_rt_path, opts \\\\ []) do\n    binary_path = \"java\"\n    opts = Keyword.validate!(opts, ignore_shapes: false)\n\n    # Do not process shapes.txt: this requires a large amount of memory\n    # https://github.com/MobilityData/gtfs-realtime-validator/blob/master/TROUBLESHOOTING.md#javalangoutofmemoryerror-java-heap-space-when-running-project\n    shapes_args =\n      if Keyword.fetch!(opts, :ignore_shapes) do\n        [\"-ignoreShapes\", \"yes\"]\n      else\n        []\n      end\n\n    args =\n      [\n        \"-jar\",\n        Path.join(Application.fetch_env!(:transport, :transport_tools_folder), @validator_filename),\n        shapes_args,\n        \"-gtfs\",\n        gtfs_path,\n        \"-gtfsRealtimePath\",\n        Path.dirname(gtfs_rt_path)\n      ]\n      |> List.flatten()\n      |> Enum.reject(&(&1 == \"\"))\n\n    {binary_path, args}\n  end\n\n  def run_validator({binary_path, args}) do\n    # See https://github.com/MobilityData/gtfs-realtime-validator/blob/master/gtfs-realtime-validator-lib/README.md#batch-processing\n    Transport.RamboLauncher.run(binary_path, args, log: Application.fetch_env!(:transport, :gtfs_rt_validator_cli_log))\n  end\n\n  @spec convert_validator_report(binary(), ignore_shapes: boolean()) :: {:ok, map()} | :error\n  def convert_validator_report(path, opts \\\\ []) do\n    opts = Keyword.validate!(opts, ignore_shapes: false)\n\n    case File.read(path) do\n      {:ok, content} ->\n        errors =\n          content\n          |> Jason.decode!()\n          |> Enum.map(fn error ->\n            rule = Map.fetch!(Map.fetch!(error, \"errorMessage\"), \"validationRule\")\n            suffix = Map.fetch!(rule, \"occurrenceSuffix\")\n            occurence_list = Map.fetch!(error, \"occurrenceList\")\n\n            %{\n              \"error_id\" => Map.fetch!(rule, \"errorId\"),\n              \"severity\" => Map.fetch!(rule, \"severity\"),\n              \"title\" => Map.fetch!(rule, \"title\"),\n              \"description\" => Map.fetch!(rule, \"errorDescription\"),\n              \"errors_count\" => Enum.count(occurence_list),\n              \"errors\" =>\n                occurence_list\n                |> Enum.take(@max_errors_per_section)\n                |> Enum.map(&\"#{Map.fetch!(&1, \"prefix\")} #{suffix}\")\n            }\n          end)\n\n        total_errors =\n          errors\n          |> Enum.filter(&(Map.fetch!(&1, \"severity\") == \"ERROR\"))\n          |> Enum.map(&Map.fetch!(&1, \"errors_count\"))\n          |> Enum.sum()\n\n        total_warnings =\n          errors\n          |> Enum.filter(&(Map.fetch!(&1, \"severity\") == \"WARNING\"))\n          |> Enum.map(&Map.fetch!(&1, \"errors_count\"))\n          |> Enum.sum()\n\n        {:ok,\n         %{\n           \"errors_count\" => total_errors,\n           \"warnings_count\" => total_warnings,\n           \"has_errors\" => total_errors + total_warnings > 0,\n           \"ignore_shapes\" => Keyword.fetch!(opts, :ignore_shapes),\n           \"errors\" => errors\n         }}\n\n      {:error, _} ->\n        :error\n    end\n  end\n\n  def get_max_severity_error(%{\"errors\" => errors}), do: get_max_severity_error(errors)\n\n  def get_max_severity_error([]), do: nil\n\n  def get_max_severity_error(errors) do\n    severities = errors |> Enum.map(&Map.fetch!(&1, \"severity\")) |> MapSet.new()\n\n    unless MapSet.subset?(severities, MapSet.new([\"WARNING\", \"ERROR\"])) do\n      raise \"Some severity levels are not handled #{inspect(severities)}\"\n    end\n\n    cond do\n      \"ERROR\" in severities -> \"ERROR\"\n      \"WARNING\" in severities -> \"WARNING\"\n    end\n  end\n\n  def build_validation_details(\n        %ResourceHistory{payload: %{\"uuid\" => uuid, \"permanent_url\" => permanent_url, \"format\" => \"GTFS\"}},\n        %{\"has_errors\" => _, \"errors\" => _, \"errors_count\" => _, \"warnings_count\" => _} = validation_report,\n        gtfs_rt_cellar_filename\n      ) do\n    Map.merge(validation_report, %{\n      \"max_severity\" => get_max_severity_error(validation_report),\n      \"files\" => %{\n        \"gtfs_resource_history_uuid\" => uuid,\n        \"gtfs_permanent_url\" => permanent_url,\n        \"gtfs_rt_filename\" => gtfs_rt_cellar_filename,\n        \"gtfs_rt_permanent_url\" => Transport.S3.permanent_url(:history, gtfs_rt_cellar_filename)\n      },\n      \"uuid\" => Ecto.UUID.generate()\n    })\n  end\n\n  @doc \"\"\"\n  Builds a fatal validation report when the validator cannot process the files,\n  i.e. when valid GTFS and GTFS-RT feeds are not provided.\n  \"\"\"\n  def fatal_report do\n    %{\n      \"errors_count\" => 1,\n      \"warnings_count\" => 0,\n      \"has_errors\" => true,\n      \"ignore_shapes\" => false,\n      \"errors\" => [\n        %{\n          \"error_id\" => \"FATAL\",\n          \"severity\" => \"ERROR\",\n          \"title\" => \"Not a valid GTFS or GTFS-RT feed\",\n          \"description\" => \"The validator could not run. Please provide a valid GTFS and a valid GTFS-RT feed.\",\n          \"errors_count\" => 1,\n          \"errors\" => []\n        }\n      ]\n    }\n  end\n\n  def up_to_date_gtfs_resources(%Resource{dataset_id: dataset_id}),\n    do: up_to_date_gtfs_resources(%Dataset{id: dataset_id})\n\n  def up_to_date_gtfs_resources(%Dataset{id: dataset_id}) do\n    Resource.base_query()\n    |> ResourceHistory.join_resource_with_latest_resource_history()\n    |> MultiValidation.join_resource_history_with_latest_validation(\n      Enum.map(Transport.ValidatorsSelection.validators_for_feature(:gtfs_rt_validator), & &1.validator_name())\n    )\n    |> ResourceMetadata.join_validation_with_metadata()\n    |> where([resource: r], r.format == \"GTFS\" and not r.is_community_resource and r.dataset_id == ^dataset_id)\n    |> ResourceMetadata.where_up_to_date()\n    |> preload([resource_history: rh], resource_history: rh)\n    |> Repo.all()\n  end\n\n  def gtfs_rt_resources(%Resource{id: resource_id, dataset_id: dataset_id}) do\n    %Dataset{id: dataset_id}\n    |> gtfs_rt_resources()\n    |> Enum.filter(fn {_gtfs, %Resource{id: id, format: \"gtfs-rt\"}} -> id == resource_id end)\n  end\n\n  @spec gtfs_rt_resources(Dataset.t() | Resource.t()) :: [] | [{Resource.t(), Resource.t()}]\n  @doc \"\"\"\n  Identifies couples of {GTFS, GTFS-RT} resources to run GTFS-RT validation on.\n\n  Resources in scope:\n  - up-to-date GTFS in the dataset\n  - GTFS-RT currently available in the dataset\n\n  Based on the number of up-to-date GTFS resources, we can determine the relevant GTFS\n  to use to perform GTFS-RT validation:\n  - 0 GTFS: nothing to do\n  - 1 up-to-date GTFS: we will use this resource to perform validation, **regardless** of\n  potential related resources\n  - at least 2 up-to-date GTFS: use `DB.ResourceRelated` with the reason `:gtfs_rt_gtfs`\n  to know the GTFS to use for each GTFS-RT. If a GTFS-RT does not have a related resource,\n  it will not be validated.\n  \"\"\"\n  def gtfs_rt_resources(%Dataset{id: dataset_id} = dataset) do\n    gtfs_resources = up_to_date_gtfs_resources(dataset)\n\n    gtfs_rt_resources =\n      Resource.base_query()\n      |> preload([:resources_related])\n      |> where(\n        [resource: r],\n        r.format == \"gtfs-rt\" and not r.is_community_resource and r.is_available and r.dataset_id == ^dataset_id\n      )\n      |> Repo.all()\n\n    case Enum.count(gtfs_resources) do\n      0 ->\n        []\n\n      1 ->\n        Enum.into(gtfs_rt_resources, [], fn %Resource{format: \"gtfs-rt\"} = resource ->\n          {hd(gtfs_resources), resource}\n        end)\n\n      n when n > 1 ->\n        gtfs_rt_and_gtfs_resources(gtfs_rt_resources, gtfs_resources)\n    end\n  end\n\n  @spec gtfs_rt_and_gtfs_resources([Resource.t()], [Resource.t()]) :: [{Resource.t(), Resource.t()}] | []\n  defp gtfs_rt_and_gtfs_resources(gtfs_rt_resources, gtfs_resources) do\n    gtfs_rt_resources\n    |> Enum.map(fn %Resource{format: \"gtfs-rt\"} = resource ->\n      case Enum.find(resource.resources_related, &match?(%DB.ResourceRelated{reason: :gtfs_rt_gtfs}, &1)) do\n        %DB.ResourceRelated{reason: :gtfs_rt_gtfs, resource_dst_id: gtfs_id} ->\n          {Enum.find(gtfs_resources, fn %Resource{format: \"GTFS\", id: id} -> id == gtfs_id end), resource}\n\n        nil ->\n          {nil, resource}\n      end\n    end)\n    |> Enum.reject(&match?({nil, %Resource{format: \"gtfs-rt\"}}, &1))\n  end\n\n  defp insert_multi_validation(\n         %Resource{format: \"gtfs-rt\"} = gtfs_rt_resource,\n         %{} = validation_details,\n         {_, _} = validator_arguments,\n         %Resource{format: \"GTFS\"} = gtfs_resource,\n         %ResourceHistory{} = gtfs_resource_history\n       ) do\n    %MultiValidation{\n      validation_timestamp: DateTime.utc_now(),\n      validator: validator_name(),\n      command: inspect(validator_arguments),\n      result: validation_details,\n      digest: digest(validation_details),\n      resource_id: gtfs_rt_resource.id,\n      secondary_resource_id: gtfs_resource.id,\n      secondary_resource_history_id: gtfs_resource_history.id,\n      max_error: Map.fetch!(validation_details, \"max_severity\")\n    }\n    |> Repo.insert!()\n  end\n\n  defp delete_tmp_files(%Resource{format: \"GTFS\"} = resource) do\n    resource |> download_path() |> remove_file()\n    resource |> download_path() |> Path.dirname() |> File.rmdir()\n  end\n\n  defp delete_tmp_files(%Resource{format: \"gtfs-rt\"} = resource) do\n    # Clean GTFS-RT: binaries, validation results and folders\n    resource |> download_path() |> remove_file()\n    resource |> gtfs_rt_result_path() |> remove_file()\n    resource |> download_path() |> Path.dirname() |> File.rmdir()\n  end\n\n  defp snapshot_gtfs_rts(resources) do\n    Enum.map(resources, fn {%Resource{format: \"GTFS\"} = gtfs_resource, %Resource{format: \"gtfs-rt\"} = gtfs_rt_resource} ->\n      {gtfs_resource, gtfs_rt_resource, snapshot_gtfs_rt(gtfs_rt_resource)}\n    end)\n  end\n\n  defp snapshot_gtfs_rt(%Resource{format: \"gtfs-rt\"} = resource) do\n    resource |> download_resource(download_path(resource)) |> process_download(resource)\n  end\n\n  defp upload_filename(%Resource{id: resource_id, format: format}, %DateTime{} = dt) when format == \"gtfs-rt\" do\n    time = Calendar.strftime(dt, \"%Y%m%d.%H%M%S.%f\")\n\n    \"#{resource_id}/#{resource_id}.#{time}.bin\"\n  end\n\n  defp download_latest_gtfs(%ResourceHistory{payload: %{\"permanent_url\" => url, \"format\" => \"GTFS\"}}, tmp_path) do\n    req_options = [compressed: false, decode_body: false, into: File.stream!(tmp_path)]\n\n    unless File.exists?(tmp_path) do\n      {:ok, %Req.Response{status: 200}} = Transport.Req.impl().get(url, req_options)\n    end\n  end\n\n  defp download_resource(%Resource{id: resource_id, url: url, is_available: true, format: \"gtfs-rt\"}, tmp_path) do\n    req_options = [compressed: false, decode_body: false, into: File.stream!(tmp_path)]\n\n    case Transport.Req.impl().get(url, req_options) do\n      {:ok, %Req.Response{status: 200}} ->\n        Logger.debug(\"Saving resource #{resource_id} to #{tmp_path}\")\n        {:ok, tmp_path}\n\n      {:ok, %Req.Response{status: status}} ->\n        {:error, \"Got a non 200 status: #{status}\"}\n\n      error ->\n        {:error, \"Got an error: #{inspect(error)}\"}\n    end\n  end\n\n  defp process_download({:error, message}, %Resource{id: resource_id}) do\n    Logger.debug(\"Got an error while downloading #{resource_id}: #{message}\")\n    :error\n  end\n\n  defp process_download({:ok, tmp_path}, %Resource{} = resource) do\n    cellar_filename = upload_filename(resource, DateTime.utc_now())\n    Transport.S3.stream_to_s3!(:history, tmp_path, cellar_filename, acl: :public_read)\n    {:ok, tmp_path, cellar_filename}\n  end\n\n  def download_path(%Resource{id: resource_id}) do\n    resource_id = resource_id |> to_string()\n    folder = System.tmp_dir!() |> Path.join(\"resource_#{resource_id}_gtfs_rt_multi_validation\")\n    File.mkdir_p!(folder)\n    Path.join([folder, resource_id])\n  end\n\n  def gtfs_rt_result_path(%Resource{format: format} = resource) when format == \"gtfs-rt\" do\n    # https://github.com/MobilityData/gtfs-realtime-validator/blob/master/gtfs-realtime-validator-lib/README.md#output\n    \"#{download_path(resource)}.results.json\"\n  end\n\n  defp remove_file(path), do: File.rm(path)\n\n  @doc \"\"\"\n  iex> digest(%{\"warnings_count\" => 2, \"errors_count\" => 3, \"issues\" => []})\n  %{\"errors_count\" => 3, \"warnings_count\" => 2}\n  iex> digest(%{\"issues\" => []})\n  %{}\n  \"\"\"\n  @spec digest(map) :: map\n  def digest(%{} = validation_result) do\n    Map.intersect(%{\"warnings_count\" => 0, \"errors_count\" => 0}, validation_result)\n  end\n\n  @impl Transport.Validators.Validator\n  def outdated?(_multi_validation), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/gtfs_transport_validator.ex",
    "content": "defmodule Transport.Validators.GTFSTransport do\n  @moduledoc \"\"\"\n  Validate a GTFS with transport-validator (https://github.com/etalab/transport-validator/)\n  \"\"\"\n  @behaviour Transport.Validators.Validator\n  use Gettext, backend: TransportWeb.Gettext\n\n  @no_error \"NoError\"\n  @validator_name \"GTFS transport-validator\"\n\n  @doc \"\"\"\n  Validates a resource history and extract metadata from it.\n  Store the results in DB\n  \"\"\"\n  @impl Transport.Validators.Validator\n  def validate_and_save(%DB.ResourceHistory{\n        id: resource_history_id,\n        payload: %{\"permanent_url\" => url}\n      }) do\n    timestamp = DateTime.utc_now()\n    validator = Shared.Validation.GtfsValidator.Wrapper.impl()\n\n    with {:ok, %{\"validations\" => validations, \"metadata\" => metadata}} <-\n           validator.validate_from_url(url),\n         data_vis <- Transport.DataVisualization.validation_data_vis(validations) do\n      resource_metadata = %DB.ResourceMetadata{\n        resource_history_id: resource_history_id,\n        metadata: metadata,\n        modes: find_modes(metadata),\n        features: find_tags(metadata)\n      }\n\n      result = validation_result(validations)\n\n      %DB.MultiValidation{\n        validation_timestamp: timestamp,\n        validator: validator_name(),\n        result: result,\n        digest: digest(result),\n        data_vis: data_vis,\n        command: command(url),\n        resource_history_id: resource_history_id,\n        metadata: resource_metadata,\n        validator_version: Map.get(metadata, \"validator_version\"),\n        max_error: get_max_severity_error(validations)\n      }\n      |> DB.Repo.insert!()\n\n      :ok\n    else\n      e -> {:error, \"#{validator_name()}, validation failed. #{inspect(e)}\"}\n    end\n  end\n\n  @impl Transport.Validators.Validator\n  def validator_name, do: @validator_name\n\n  # https://github.com/etalab/transport-site/issues/2390\n  # delete Shared.Validation.GtfsValidator.Wrapper and bring back the code here.\n  def validate(url), do: Shared.Validation.GtfsValidator.Wrapper.impl().validate_from_url(url)\n\n  defp validation_result(validations) do\n    # Remove the `geojson` key for each issue: we already have the details on the `data_vis` field\n    Enum.into(validations, %{}, fn {issue_type, issues} ->\n      {issue_type, Enum.map(issues, &Map.drop(&1, [\"geojson\"]))}\n    end)\n  end\n\n  def command(url), do: Shared.Validation.GtfsValidator.remote_gtfs_validation_query(url)\n\n  @spec severity_level(binary()) :: non_neg_integer()\n  def severity_level(key) do\n    case key do\n      \"Fatal\" -> 0\n      \"Error\" -> 1\n      \"Warning\" -> 2\n      \"Information\" -> 3\n      _ -> 4\n    end\n  end\n\n  @doc \"\"\"\n  iex> Gettext.put_locale(\"en\")\n  iex> format_severity(\"Fatal\", 1)\n  \"1 fatal failure\"\n  iex> format_severity(\"Fatal\", 2)\n  \"2 fatal failures\"\n  iex> format_severity(\"Fatal\", 2_000)\n  \"2,000 fatal failures\"\n  iex> Gettext.put_locale(\"fr\")\n  iex> format_severity(\"Fatal\", 1)\n  \"1 échec irrécupérable\"\n  iex> format_severity(\"Fatal\", 2)\n  \"2 échecs irrécupérables\"\n  iex> format_severity(\"Fatal\", 2_000)\n  \"2 000 échecs irrécupérables\"\n  \"\"\"\n  @spec format_severity(binary(), non_neg_integer()) :: binary()\n  def format_severity(key, count) do\n    case key do\n      \"Fatal\" ->\n        dngettext(\"gtfs-transport-validator\", \"Fatal failure\", \"Fatal failures\", count,\n          value: Helpers.format_number(count, locale: Gettext.get_locale())\n        )\n\n      \"Error\" ->\n        dngettext(\"gtfs-transport-validator\", \"Error\", \"Errors\", count,\n          value: Helpers.format_number(count, locale: Gettext.get_locale())\n        )\n\n      \"Warning\" ->\n        dngettext(\"gtfs-transport-validator\", \"Warning\", \"Warnings\", count,\n          value: Helpers.format_number(count, locale: Gettext.get_locale())\n        )\n\n      \"Information\" ->\n        dngettext(\"gtfs-transport-validator\", \"Information\", \"Informations\", count,\n          value: Helpers.format_number(count, locale: Gettext.get_locale())\n        )\n    end\n  end\n\n  @spec issue_type(list()) :: nil | binary()\n  def issue_type([]), do: nil\n  def issue_type([h | _]), do: h[\"issue_type\"]\n\n  @doc \"\"\"\n  Get issues from validation results. For a specific issue type if specified, or the most severe.\n\n  iex> validation_result = %{\"tooClose\" => [%{\"severity\" => \"Warning\"}], \"funnyName\" => [%{\"severity\" => \"Information\"}]}\n  iex> get_issues(validation_result, %{\"issue_type\" => \"funnyName\"})\n  [%{\"severity\" => \"Information\"}]\n  iex> get_issues(validation_result, %{\"issue_type\" => \"BrokenFile\"})\n  []\n  iex> get_issues(validation_result, nil)\n  [%{\"severity\" => \"Warning\"}]\n  iex> get_issues(%{}, nil)\n  []\n  iex> get_issues([], nil)\n  []\n  \"\"\"\n  def get_issues(%{} = validation_result, %{\"issue_type\" => issue_type}) do\n    Map.get(validation_result, issue_type, [])\n  end\n\n  def get_issues(%{} = validation_result, _) do\n    validation_result\n    |> Map.values()\n    |> Enum.sort_by(fn [%{\"severity\" => severity} | _] -> severity_level(severity) end)\n    |> List.first([])\n  end\n\n  def get_issues(_, _), do: []\n\n  @doc \"\"\"\n  iex> validation_result = %{\"tooClose\" => [%{\"severity\" => \"Warning\"}], \"funnyName\" => [%{\"severity\" => \"Information\"}]}\n  iex> summary(validation_result)\n  [\n    %{\"severity\" => \"Warning\", \"issues\" => [%{\"key\" => \"tooClose\", \"issue\" => %{\"count\" => 1, \"severity\" => \"Warning\", \"title\" => nil}}]},\n    %{\"severity\" => \"Information\", \"issues\" => [%{\"key\" => \"funnyName\", \"issue\" => %{\"count\" => 1, \"severity\" => \"Information\", \"title\" => nil}}]}\n  ]\n  iex> summary(%{})\n  []\n  \"\"\"\n  @spec summary(map) :: list\n  def summary(%{} = validation_result) do\n    validation_result\n    |> Enum.map(fn {key, issues} ->\n      {key,\n       %{\n         \"count\" => Enum.count(issues),\n         \"title\" => issues_short_translation()[key],\n         \"severity\" => issues |> List.first() |> Map.fetch!(\"severity\")\n       }}\n    end)\n    |> Enum.group_by(fn {_, issue} -> issue[\"severity\"] end)\n    |> Enum.sort_by(fn {severity, _} -> severity_level(severity) end)\n    |> Enum.map(fn {severity, issues} ->\n      %{\n        \"severity\" => severity,\n        \"issues\" => issues |> Enum.map(fn {key, issue} -> %{\"key\" => key, \"issue\" => issue} end)\n      }\n    end)\n  end\n\n  @spec digest(map) :: map\n  def digest(%{} = validation_result) do\n    summary = Transport.Validators.GTFSTransport.summary(validation_result)\n    stats = Transport.Validators.GTFSTransport.count_by_severity(validation_result)\n\n    %Scrivener.Config{page_size: page_size} = TransportWeb.PaginationHelpers.make_pagination_config(%{})\n    # Limit to the first page to limit payload size\n    issues = Transport.Validators.GTFSTransport.get_issues(validation_result, %{}) |> Enum.take(page_size)\n\n    max_severity = count_max_severity(validation_result)\n\n    %{\"summary\" => summary, \"stats\" => stats, \"issues\" => issues, \"max_severity\" => max_severity}\n  end\n\n  @doc \"\"\"\n  Returns the number of issues by severity level\n\n  iex> validation_result = %{\"tooClose\" => [%{\"severity\" => \"Warning\"}], \"funnyName\" => [%{\"severity\" => \"Information\"}, %{\"severity\" => \"Information\"}], \"NullDuration\" => [%{\"severity\" => \"Warning\"}]}\n  iex> count_by_severity(validation_result)\n  %{\"Warning\" => 2, \"Information\" => 2}\n\n  iex> count_by_severity(%{})\n  %{}\n  \"\"\"\n  @spec count_by_severity(map()) :: map()\n  def count_by_severity(%{} = validation_result) do\n    validation_result\n    |> Enum.flat_map(fn {_, v} -> v end)\n    |> Enum.reduce(%{}, fn v, acc -> Map.update(acc, v[\"severity\"], 1, &(&1 + 1)) end)\n  end\n\n  def count_by_severity(_), do: %{}\n\n  @doc \"\"\"\n  Returns the maximum severity, with the issues count\n\n  iex> validation_result = %{\"tooClose\" => [%{\"severity\" => \"Warning\"}], \"funnyName\" => [%{\"severity\" => \"Information\"}, %{\"severity\" => \"Information\"}], \"NullDuration\" => [%{\"severity\" => \"Warning\"}]}\n  iex> count_max_severity(validation_result)\n  %{\"max_level\" => \"Warning\", \"worst_occurrences\" => 2}\n  iex> count_max_severity(%{})\n  %{\"max_level\" => \"NoError\", \"worst_occurrences\" => 0}\n  \"\"\"\n  @spec count_max_severity(map()) :: {binary(), integer()}\n  def count_max_severity(validation_result) when validation_result == %{} do\n    %{\"max_level\" => @no_error, \"worst_occurrences\" => 0}\n  end\n\n  def count_max_severity(%{} = validation_result) do\n    {max_level, worst_occurrences} =\n      validation_result\n      |> count_by_severity()\n      |> Enum.min_by(fn {severity, _count} -> severity |> severity_level() end)\n\n    %{\"max_level\" => max_level, \"worst_occurrences\" => worst_occurrences}\n  end\n\n  def no_error?(severity), do: @no_error == severity\n\n  @spec mine?(any) :: boolean()\n  def mine?(%{validator: validator}), do: validator == validator_name()\n  def mine?(_), do: false\n\n  @doc \"\"\"\n  Returns the maximum issue severity found\n\n  iex> validation_result = %{\"tooClose\" => [%{\"severity\" => \"Warning\"}], \"funnyName\" => [%{\"severity\" => \"Information\"}, %{\"severity\" => \"Information\"}], \"NullDuration\" => [%{\"severity\" => \"Warning\"}]}\n  iex> get_max_severity_error(validation_result)\n  \"Warning\"\n\n  iex> get_max_severity_error(%{})\n  \"NoError\"\n\n  iex> get_max_severity_error(nil)\n  nil\n  \"\"\"\n  @spec get_max_severity_error(any) :: binary() | nil\n  def get_max_severity_error(%{} = validations) do\n    %{\"max_level\" => max_level} = count_max_severity(validations)\n    max_level\n  end\n\n  def get_max_severity_error(_), do: nil\n\n  @spec issues_short_translation() :: %{binary() => binary()}\n  def issues_short_translation,\n    do: %{\n      \"UnusedStop\" => dgettext(\"gtfs-transport-validator\", \"Unused stops\"),\n      \"Slow\" => dgettext(\"gtfs-transport-validator\", \"Slow\"),\n      \"ExcessiveSpeed\" => dgettext(\"gtfs-transport-validator\", \"Excessive speed between two stops\"),\n      \"NegativeTravelTime\" => dgettext(\"gtfs-transport-validator\", \"Negative travel time between two stops\"),\n      \"CloseStops\" => dgettext(\"gtfs-transport-validator\", \"Close stops\"),\n      \"NullDuration\" => dgettext(\"gtfs-transport-validator\", \"Null duration between two stops\"),\n      \"InvalidReference\" => dgettext(\"gtfs-transport-validator\", \"Invalid reference\"),\n      \"InvalidArchive\" => dgettext(\"gtfs-transport-validator\", \"Invalid archive\"),\n      \"MissingRouteName\" => dgettext(\"gtfs-transport-validator\", \"Missing route name\"),\n      \"MissingId\" => dgettext(\"gtfs-transport-validator\", \"Missing id\"),\n      \"MissingCoordinates\" => dgettext(\"gtfs-transport-validator\", \"Missing coordinates\"),\n      \"MissingName\" => dgettext(\"gtfs-transport-validator\", \"Missing name\"),\n      \"InvalidCoordinates\" => dgettext(\"gtfs-transport-validator\", \"Invalid coordinates\"),\n      \"InvalidRouteType\" => dgettext(\"gtfs-transport-validator\", \"Invalid route type\"),\n      \"MissingUrl\" => dgettext(\"gtfs-transport-validator\", \"Missing url\"),\n      \"InvalidUrl\" => dgettext(\"gtfs-transport-validator\", \"Invalid url\"),\n      \"InvalidTimezone\" => dgettext(\"gtfs-transport-validator\", \"Invalid timezone\"),\n      \"DuplicateStops\" => dgettext(\"gtfs-transport-validator\", \"Duplicate stops\"),\n      \"DuplicateStopSequence\" => dgettext(\"gtfs-transport-validator\", \"Duplicate stop sequence\"),\n      \"MissingPrice\" => dgettext(\"gtfs-transport-validator\", \"Missing price\"),\n      \"InvalidCurrency\" => dgettext(\"gtfs-transport-validator\", \"Invalid currency\"),\n      \"InvalidTransfers\" => dgettext(\"gtfs-transport-validator\", \"Invalid transfers\"),\n      \"InvalidTransferDuration\" => dgettext(\"gtfs-transport-validator\", \"Invalid transfer duration\"),\n      \"MissingLanguage\" => dgettext(\"gtfs-transport-validator\", \"Missing language\"),\n      \"InvalidLanguage\" => dgettext(\"gtfs-transport-validator\", \"Invalid language\"),\n      \"DuplicateObjectId\" => dgettext(\"gtfs-transport-validator\", \"Duplicate object id\"),\n      \"UnloadableModel\" => dgettext(\"gtfs-transport-validator\", \"Not compliant with the GTFS specification\"),\n      \"MissingMandatoryFile\" => dgettext(\"gtfs-transport-validator\", \"Missing mandatory file\"),\n      \"ExtraFile\" => dgettext(\"gtfs-transport-validator\", \"Extra file\"),\n      \"ImpossibleToInterpolateStopTimes\" =>\n        dgettext(\"gtfs-transport-validator\", \"Impossible to interpolate stop times\"),\n      \"InvalidStopLocationTypeInTrip\" => dgettext(\"gtfs-transport-validator\", \"Invalid stop location type in trip\"),\n      \"InvalidStopParent\" => dgettext(\"gtfs-transport-validator\", \"Invalid stop parent\"),\n      \"IdNotAscii\" => dgettext(\"gtfs-transport-validator\", \"ID is not ASCII-encoded\"),\n      \"InvalidShapeId\" => dgettext(\"gtfs-transport-validator\", \"Invalid shape ID\"),\n      \"UnusedShapeId\" => dgettext(\"gtfs-transport-validator\", \"Unused shape ID\"),\n      \"SubFolder\" => dgettext(\"gtfs-transport-validator\", \"Files in a subfolder\"),\n      \"NegativeStopDuration\" => dgettext(\"gtfs-transport-validator\", \"Negative stop duration\"),\n      \"UnusableTrip\" => dgettext(\"gtfs-transport-validator\", \"Unusable trip\"),\n      \"NoCalendar\" => dgettext(\"gtfs-transport-validator\", \"Calendar files are empty. The service is never running.\"),\n      \"MissingAgencyId\" => dgettext(\"gtfs-transport-validator\", \"Field agency_id should not be empty.\")\n    }\n\n  @impl Transport.Validators.Validator\n  @doc \"\"\"\n  true if the gtfs is outdated\n  false if not\n  nil if we don't know\n  \"\"\"\n  def outdated?(%DB.MultiValidation{validator: @validator_name} = multi_validation) do\n    DB.MultiValidation.outdated?(multi_validation)\n  end\n\n  def outdated?(_), do: nil\n\n  @spec find_tags(map()) :: [binary()]\n  def find_tags(metadata) do\n    gtfs_base_tags()\n    |> Enum.concat(find_tags_from_metadata(metadata))\n    |> Enum.uniq()\n  end\n\n  def find_tags_from_metadata(metadata) do\n    tags =\n      metadata\n      |> has_fares_tag()\n      |> Enum.concat(has_shapes_tag(metadata))\n      |> Enum.concat(has_odt_tag(metadata))\n      |> Enum.concat(has_route_colors_tag(metadata))\n      |> Enum.concat(has_pathways_tag(metadata))\n      |> Enum.concat(has_bike_accessibility(metadata))\n      |> Enum.concat(has_wheelchair_accessibility(metadata))\n\n    Enum.each(tags, fn tag ->\n      if tag not in existing_gtfs_tags() do\n        raise \"`#{tag}` is not a known tag\"\n      end\n    end)\n\n    tags\n  end\n\n  def existing_gtfs_tags,\n    do: [\n      \"tarifs\",\n      \"tracés de lignes\",\n      \"transport à la demande\",\n      \"couleurs des lignes\",\n      \"description des correspondances\",\n      \"informations sur l'accessibilité à vélo\",\n      \"informations sur l'accessibilité en fauteuil roulant\"\n    ]\n\n  @spec find_modes(map()) :: [binary()]\n  def find_modes(%{\"modes\" => modes}), do: modes\n  def find_modes(_), do: []\n\n  # These tags are not translated because we'll need to be able to search for those tags\n  @spec has_fares_tag(map()) :: [binary()]\n  def has_fares_tag(%{\"has_fares\" => true}), do: [\"tarifs\"]\n  def has_fares_tag(_), do: []\n\n  @spec has_shapes_tag(map()) :: [binary()]\n  def has_shapes_tag(%{\"has_shapes\" => true}), do: [\"tracés de lignes\"]\n  def has_shapes_tag(_), do: []\n\n  # check if the resource contains some On Demand Transport (odt) tags\n  @spec has_odt_tag?(map()) :: boolean()\n  def has_odt_tag?(value), do: has_odt_tag(value) != []\n\n  @spec has_odt_tag(map()) :: [binary()]\n  def has_odt_tag(%{\"some_stops_need_phone_agency\" => true}), do: [\"transport à la demande\"]\n  def has_odt_tag(%{\"some_stops_need_phone_driver\" => true}), do: [\"transport à la demande\"]\n  def has_odt_tag(_), do: []\n\n  @doc \"\"\"\n  Outputs a tag if at least 80% of GTFS routes have a custom color.\n\n  iex> has_route_colors_tag(%{\"stats\" => %{\"routes_with_custom_color_count\" => 8, \"routes_count\" => 10}})\n  [\"couleurs des lignes\"]\n  iex> has_route_colors_tag(%{\"stats\" => %{\"routes_with_custom_color_count\" => 7, \"routes_count\" => 10}})\n  []\n  iex> has_route_colors_tag(%{\"stats\" => %{\"routes_with_custom_color_count\" => 0, \"routes_count\" => 0}})\n  []\n  \"\"\"\n  @spec has_route_colors_tag(map()) :: [binary()]\n  def has_route_colors_tag(%{\n        \"stats\" => %{\"routes_with_custom_color_count\" => with_colors_count, \"routes_count\" => routes_count}\n      })\n      when with_colors_count / routes_count * 100 >= 80,\n      do: [\"couleurs des lignes\"]\n\n  def has_route_colors_tag(_), do: []\n\n  @spec has_pathways_tag(map()) :: [binary()]\n  def has_pathways_tag(%{\"has_pathways\" => true}), do: [\"description des correspondances\"]\n  def has_pathways_tag(_), do: []\n\n  @spec has_bike_accessibility(map()) :: [binary()]\n  def has_bike_accessibility(%{\"stats\" => %{\"trips_with_bike_info_count\" => n}}) when is_integer(n) and n > 0,\n    do: [\"informations sur l'accessibilité à vélo\"]\n\n  def has_bike_accessibility(_), do: []\n\n  @spec has_wheelchair_accessibility(map()) :: [binary()]\n  def has_wheelchair_accessibility(%{\n        \"stats\" => %{\"trips_with_wheelchair_info_count\" => n1, \"stops_with_wheelchair_info_count\" => n2}\n      })\n      when is_integer(n1) and is_integer(n2) and (n1 > 0 or n2 > 0),\n      do: [\"informations sur l'accessibilité en fauteuil roulant\"]\n\n  def has_wheelchair_accessibility(_), do: []\n\n  @spec gtfs_base_tags() :: [binary()]\n  def gtfs_base_tags,\n    do: [\"position des stations\", \"horaires théoriques\", \"topologie du réseau\"]\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/jsonschema_validata_json_validator.ex",
    "content": "defmodule Transport.Validators.ValidataJson do\n  @moduledoc \"\"\"\n  Validate JSON files with Validata JSON API\n  https://git.opendatafrance.net/validata/validata-json\n  \"\"\"\n\n  @behaviour Transport.Validators.Validator\n\n  @impl Transport.Validators.Validator\n  def validate_and_save(%DB.ResourceHistory{\n        id: resource_history_id,\n        payload:\n          %{\n            \"permanent_url\" => url,\n            \"schema_name\" => schema_name,\n            \"schema_version\" => schema_version\n          } = payload\n      })\n      when is_binary(schema_name) do\n    schema_version = schema_version || Map.get(payload, \"latest_schema_version_to_date\", \"latest\")\n    schema_url = Transport.Schemas.schema_url(schema_name, schema_version)\n\n    {:ok, validation} = perform_validation(schema_url, url)\n\n    %DB.MultiValidation{\n      validation_timestamp: DateTime.utc_now(),\n      validator: validator_name(),\n      result: validation,\n      digest: digest(validation),\n      resource_history_id: resource_history_id,\n      validator_version: validator_version(),\n      command: validation_url(schema_url, url)\n    }\n    |> DB.Repo.insert!()\n\n    :ok\n  end\n\n  @spec base_url :: URI.t()\n  def base_url, do: \"https://json.validator.validata.fr\" |> URI.new!()\n\n  @doc \"\"\"\n  build the validation url\n\n  iex> validation_url(\"sss\", \"ddd\")\n  \"https://json.validator.validata.fr/url_validation_job?data=ddd&schema=sss\"\n  \"\"\"\n  def validation_url(schema_url, data_url) do\n    base_url()\n    |> URI.merge(\"/url_validation_job\")\n    |> URI.append_query(URI.encode_query(data: data_url, schema: schema_url))\n    |> URI.to_string()\n  end\n\n  def poll_url(job_id),\n    do: base_url() |> URI.merge(\"/job/#{job_id}\") |> URI.to_string()\n\n  def perform_validation(schema_url, url) do\n    http_client = Transport.Shared.Wrapper.HTTPoison.impl()\n\n    validation_url = validation_url(schema_url, url)\n\n    case http_client.post(validation_url, \"\") do\n      {:ok, %HTTPoison.Response{status_code: 201, body: job_id}} ->\n        job_id |> String.replace(\"\\\"\", \"\") |> get_api_result()\n\n      _ ->\n        {:error, \"validation server error, job creation failed\"}\n    end\n  end\n\n  def get_api_result(job_id) do\n    job_id |> poll_url() |> poll_api_result(0)\n  end\n\n  def poll_api_result(_url, nb_tries) when nb_tries > 30 do\n    {:error, \"validation timeout, too many polling attempts\"}\n  end\n\n  def poll_api_result(url, nb_tries) do\n    http_client = Transport.Shared.Wrapper.HTTPoison.impl()\n\n    case http_client.get(url) do\n      {:ok, %HTTPoison.Response{status_code: 303, headers: headers}} ->\n        # result is available\n        [location] = Transport.Http.Utils.location_header(headers)\n\n        base_url()\n        |> Map.put(:path, location)\n        # get a json validation report\n        |> URI.append_query(URI.encode_query(text_or_json: \"json\"))\n        |> URI.to_string()\n        |> get_results()\n\n      {:ok, %HTTPoison.Response{status_code: 200, body: body}} ->\n        if body =~ \"FAILURE\" do\n          {:error, \"validation failure\"}\n        else\n          # validation is processing, try again later\n          nb_tries |> poll_interval() |> :timer.sleep()\n          poll_api_result(url, nb_tries + 1)\n        end\n    end\n  end\n\n  def poll_interval(nb_tries) when nb_tries < 5, do: 2_000\n  def poll_interval(nb_tries) when nb_tries < 10, do: 5_000\n  def poll_interval(_), do: 20_000\n\n  def get_results(result_address) do\n    http_client = Transport.Shared.Wrapper.HTTPoison.impl()\n\n    with {:ok, %HTTPoison.Response{status_code: 200, body: body}} <- http_client.get(result_address),\n         {:ok, validation} <- Jason.decode(body) do\n      {:ok, validation}\n    else\n      e ->\n        {:error, \"validation is done, but there was an error fetching the results. #{inspect(e)}\"}\n    end\n  end\n\n  @impl Transport.Validators.Validator\n  def validator_name, do: \"Validata JSON\"\n  def validator_version, do: \"0.1.0\"\n\n  @doc \"\"\"\n  iex> digest(%{\"warnings_count\" => 2, \"errors_count\" => 3, \"issues\" => []})\n  %{\"errors_count\" => 3, \"warnings_count\" => 2}\n  iex> digest(%{\"issues\" => []})\n  %{}\n  \"\"\"\n  def digest(validation_result) do\n    Map.intersect(%{\"warnings_count\" => 0, \"errors_count\" => 0}, validation_result)\n  end\n\n  @impl Transport.Validators.Validator\n  def outdated?(_multi_validation), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/jsonschema_validator.ex",
    "content": "defmodule Transport.Validators.JSONSchema.Wrapper do\n  @moduledoc \"\"\"\n  This behaviour defines the API for a JSON Schema Validator\n  \"\"\"\n  defp impl, do: Application.get_env(:transport, :jsonschema_validator_impl)\n\n  @callback load_jsonschema_for_schema(binary()) :: ExJsonSchema.Schema.Root.t()\n  @callback load_jsonschema_for_schema(binary(), binary()) :: ExJsonSchema.Schema.Root.t()\n  def load_jsonschema_for_schema(schema_name),\n    do: impl().load_jsonschema_for_schema(schema_name)\n\n  def load_jsonschema_for_schema(schema_name, schema_version),\n    do: impl().load_jsonschema_for_schema(schema_name, schema_version)\n\n  @callback validate(ExJsonSchema.Schema.Root.t(), map() | binary()) :: map() | nil\n  def validate(schema, target), do: impl().validate(schema, target)\nend\n\ndefmodule Transport.Validators.JSONSchema do\n  @moduledoc \"\"\"\n  Validate a file against a JSON Schema using [ex_json_schema](https://github.com/jonasschmidt/ex_json_schema).\n  \"\"\"\n  # https://github.com/etalab/transport-site/issues/2390\n  # Plan to move the other validator here as we deprecate\n  # the previous validation flow.\n  alias Transport.Validators.JSONSchema.Wrapper, as: JSONSchemaValidator\n  @behaviour Transport.Validators.Validator\n\n  import Transport.Schemas\n  @behaviour Transport.Validators.JSONSchema.Wrapper\n\n  defmodule ErrorFormatter do\n    @moduledoc \"\"\"\n    Format JSON Schema errors.\n\n    See https://hexdocs.pm/ex_json_schema/readme.html#validation-error-formats\n    \"\"\"\n    alias ExJsonSchema.Validator.Error\n\n    @spec format(ExJsonSchema.Validator.errors()) :: [String.t()]\n    def format(errors) do\n      errors\n      |> Enum.map(fn %Error{error: error, path: path} ->\n        \"#{path}: #{to_string(error)}\"\n      end)\n    end\n  end\n\n  @impl true\n  def load_jsonschema_for_schema(schema_name, schema_version \\\\ \"latest\") do\n    ensure_schema_is_jsonschema!(schema_name)\n\n    comp_fn = fn ->\n      %HTTPoison.Response{status_code: 200, body: body} = http_client().get!(schema_url(schema_name, schema_version))\n\n      body |> Jason.decode!() |> ExJsonSchema.Schema.resolve()\n    end\n\n    cache_fetch(\"jsonschema_#{schema_name}_#{schema_version}\", comp_fn)\n  end\n\n  def ensure_schema_is_jsonschema!(schema_name) do\n    unless Enum.member?(json_schemas_names(), schema_name) do\n      raise \"#{schema_name} is not a JSONSchema\"\n    end\n  end\n\n  @impl true\n  def validate(schema, url) when is_binary(url) do\n    with {:ok, %HTTPoison.Response{status_code: 200, body: body}} <-\n           http_client().get(url, [], follow_redirect: true, recv_timeout: 180_000),\n         {:ok, json} <- Jason.decode(body) do\n      validate(schema, json)\n    else\n      _ -> nil\n    end\n  end\n\n  @impl true\n  def validate(schema, payload) do\n    errors =\n      case ExJsonSchema.Validator.validate(schema, payload, error_formatter: ErrorFormatter) do\n        :ok -> []\n        {:error, errors} -> errors\n      end\n\n    %{\n      \"has_errors\" => not Enum.empty?(errors),\n      \"errors_count\" => Enum.count(errors),\n      \"errors\" => errors |> Enum.take(100),\n      \"validator\" => __MODULE__\n    }\n  end\n\n  defp json_schemas_names, do: Map.keys(schemas_by_type(\"jsonschema\"))\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\n\n  @impl Transport.Validators.Validator\n  def validate_and_save(%DB.ResourceHistory{\n        id: resource_history_id,\n        payload: %{\"permanent_url\" => url, \"schema_name\" => schema_name, \"schema_version\" => schema_version} = payload\n      })\n      when is_binary(schema_name) do\n    schema_version = schema_version || Map.get(payload, \"latest_schema_version_to_date\", \"latest\")\n\n    result = perform_validation(schema_name, schema_version, url)\n\n    %DB.MultiValidation{\n      validation_timestamp: DateTime.utc_now(),\n      validator: validator_name(),\n      result: result,\n      digest: digest(result),\n      resource_history_id: resource_history_id,\n      validator_version: validator_version()\n    }\n    |> DB.Repo.insert!()\n\n    :ok\n  end\n\n  def perform_validation(schema_name, schema_version, url) do\n    schema_name\n    |> JSONSchemaValidator.load_jsonschema_for_schema(schema_version)\n    |> JSONSchemaValidator.validate(url)\n    |> normalize_validation_result()\n  end\n\n  def normalize_validation_result(nil), do: %{\"validation_performed\" => false}\n\n  def normalize_validation_result(%{\"has_errors\" => _, \"errors_count\" => _, \"errors\" => _} = validation),\n    do: Map.merge(validation, %{\"validation_performed\" => true})\n\n  @impl Transport.Validators.Validator\n  def validator_name, do: \"EXJSONSchema\"\n  def validator_version, do: to_string(Application.spec(:ex_json_schema, :vsn))\n\n  @doc \"\"\"\n  iex> digest(%{\"warnings_count\" => 2, \"errors_count\" => 3, \"issues\" => []})\n  %{\"errors_count\" => 3, \"warnings_count\" => 2}\n  iex> digest(%{\"issues\" => []})\n  %{}\n  \"\"\"\n  def digest(validation_result) do\n    Map.intersect(%{\"warnings_count\" => 0, \"errors_count\" => 0}, validation_result)\n  end\n\n  @impl Transport.Validators.Validator\n  def outdated?(_multi_validation), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/mobilitydata_gtfs_validator.ex",
    "content": "defmodule Transport.Validators.MobilityDataGTFSValidator do\n  @moduledoc \"\"\"\n  Validate a GTFS using the Canonical GTFS Transport validator.\n  \"\"\"\n  @no_error \"NoError\"\n\n  use Gettext, backend: TransportWeb.Gettext\n\n  # The `rules.json` file comes from the release of the validator.\n  # https://github.com/MobilityData/gtfs-validator/releases\n  @rules :transport\n         |> Application.app_dir(\"priv\")\n         |> Kernel.<>(\"/mobilitydata_gtfs_rules.json\")\n         |> File.read!()\n         |> Jason.decode!()\n\n  @behaviour Transport.Validators.Validator\n\n  @validator_name \"MobilityData GTFS Validator\"\n\n  @impl Transport.Validators.Validator\n  def validator_name, do: @validator_name\n\n  @impl Transport.Validators.Validator\n  def outdated?(%DB.MultiValidation{validator: @validator_name} = mv),\n    do: DB.MultiValidation.outdated?(mv)\n\n  def outdated?(_), do: nil\n\n  @impl Transport.Validators.Validator\n  @spec validate_and_save(DB.ResourceHistory.t() | binary()) :: :ok | map()\n  def validate_and_save(%DB.ResourceHistory{id: resource_history_id, payload: %{\"permanent_url\" => url}}) do\n    results = run_validation(url)\n\n    %DB.MultiValidation{\n      validation_timestamp: DateTime.utc_now(),\n      validator: validator_name(),\n      validator_version: results.validator_version,\n      result: results.result,\n      digest: results.digest,\n      command: results.command,\n      resource_history_id: resource_history_id,\n      max_error: results.max_error,\n      metadata: %DB.ResourceMetadata{\n        resource_history_id: resource_history_id,\n        metadata: results.metadata,\n        features: results.features\n      }\n    }\n    |> DB.Repo.insert!()\n\n    :ok\n  end\n\n  def validate_and_save(gtfs_url), do: run_validation(gtfs_url)\n\n  defp run_validation(url) do\n    job_id = validator_client().create_a_validation(url)\n    result = job_id |> poll_validation_results()\n    # the validator version may be missing\n    # https://github.com/MobilityData/gtfs-validator/issues/2021\n    validator_version = get_in(result, [\"summary\", \"validatorVersion\"]) || github_validator_version()\n\n    metadata = %{\n      \"start_date\" => get_in(result, [\"summary\", \"feedInfo\", \"feedServiceWindowStart\"]) |> empty_to_nil(),\n      \"end_date\" => get_in(result, [\"summary\", \"feedInfo\", \"feedServiceWindowEnd\"]) |> empty_to_nil(),\n      \"counts\" => get_in(result, [\"summary\", \"counts\"]),\n      \"agencies\" => get_in(result, [\"summary\", \"agencies\"]),\n      \"feedInfo\" => get_in(result, [\"summary\", \"feedInfo\"])\n    }\n\n    %{\n      result: result,\n      validator_version: validator_version,\n      metadata: metadata,\n      command: command(job_id),\n      digest: digest(Map.get(result, \"notices\", [])),\n      max_error: get_max_severity_error(Map.get(result, \"notices\", [])),\n      features: get_in(result, [\"summary\", \"gtfsFeatures\"])\n    }\n  end\n\n  defp empty_to_nil(\"\"), do: nil\n  defp empty_to_nil(value), do: value\n\n  def github_validator_version do\n    Transport.Cache.fetch(\n      \"#{__MODULE__}::validator_version\",\n      fn ->\n        %HTTPoison.Response{status_code: 200, body: body} =\n          http_client().get!(\"https://api.github.com/repos/MobilityData/gtfs-validator/releases/latest\")\n\n        body |> Jason.decode!() |> Map.fetch!(\"tag_name\") |> String.trim_leading(\"v\")\n      end,\n      :timer.hours(1)\n    )\n  end\n\n  def command(job_id) do\n    validator_client().report_html_url(job_id)\n  end\n\n  defp poll_validation_results(job_id, attempt \\\\ 1)\n\n  defp poll_validation_results(job_id, 60 = _attempt) do\n    increment_counter(\"timeout\")\n    %{\"status\" => \"error\", \"reason\" => \"timeout\", \"job_id\" => job_id, \"validation_performed\" => false}\n  end\n\n  defp poll_validation_results(job_id, attempt) do\n    case validator_client().get_a_validation(job_id) do\n      :pending ->\n        :timer.sleep(1_000)\n        poll_validation_results(job_id, attempt + 1)\n\n      {:successful, data} ->\n        increment_counter(\"success\")\n        data\n\n      {:error, data} ->\n        increment_counter(\"error\")\n        Map.put(data, \"validation_performed\", false)\n\n      :unexpected_validation_status ->\n        increment_counter(\"unexpected_validation_status\")\n        %{\"validation_performed\" => false, \"reason\" => \"unexpected_validation_status\"}\n    end\n  end\n\n  def mine?(%{validator: validator}), do: validator == validator_name()\n  def mine?(_), do: false\n\n  @doc \"\"\"\n  iex> digest([%{\"code\" => \"unusable_trip\", \"severity\" => \"WARNING\", \"totalNotices\" => 2, \"samplesNotices\" => [\"foo\", \"bar\"]}])\n  %{\n    \"max_severity\" => %{\"max_level\" => \"WARNING\", \"worst_occurrences\" => 2},\n    \"stats\" => %{\"WARNING\" => 2},\n    \"summary\" => [%{\"code\" => \"unusable_trip\", \"severity\" => \"WARNING\", \"totalNotices\" => 2}]\n  }\n  iex> digest([])\n  %{\"max_severity\" => %{\"max_level\" => \"NoError\", \"worst_occurrences\" => 0}, \"stats\" => %{}, \"summary\" => []}\n  \"\"\"\n\n  @spec digest([map()] | map()) :: map()\n  def digest(%{\"notices\" => notices}), do: digest(notices)\n\n  def digest(validation_result) do\n    %{\n      \"stats\" => count_by_severity(validation_result),\n      \"max_severity\" => count_max_severity(validation_result),\n      \"summary\" => summary(validation_result)\n    }\n  end\n\n  @doc \"\"\"\n  iex> summary([%{\"code\" => \"unusable_trip\", \"severity\" => \"WARNING\", \"totalNotices\" => 2, \"samplesNotices\" => [\"foo\", \"bar\"]}])\n  [%{\"code\" => \"unusable_trip\", \"severity\" => \"WARNING\", \"totalNotices\" => 2}]\n  \"\"\"\n  @spec summary([map()]) :: [map()]\n  def summary(validation_result) do\n    Enum.map(validation_result, &Map.take(&1, [\"code\", \"severity\", \"totalNotices\"]))\n  end\n\n  @doc \"\"\"\n  iex> Enum.map([\"ERROR\", \"WARNING\", \"INFO\"], &severity_level/1)\n  [0, 1, 2]\n  iex> assert_raise CaseClauseError, fn -> severity_level(\"NOPE\") end\n  \"\"\"\n  @spec severity_level(binary()) :: non_neg_integer()\n  def severity_level(key) do\n    case key do\n      \"ERROR\" -> 0\n      \"WARNING\" -> 1\n      \"INFO\" -> 2\n    end\n  end\n\n  @doc \"\"\"\n  iex> count_by_severity([%{\"severity\" => \"WARNING\", \"totalNotices\" => 2}, %{\"severity\" => \"WARNING\", \"totalNotices\" => 3}])\n  %{\"WARNING\" => 5}\n  iex> count_by_severity([%{\"severity\" => \"WARNING\", \"totalNotices\" => 2}, %{\"severity\" => \"ERROR\", \"totalNotices\" => 3}])\n  %{\"WARNING\" => 2, \"ERROR\" => 3}\n  \"\"\"\n  @spec count_by_severity([map()]) :: map()\n  def count_by_severity(validation_result) do\n    Enum.reduce(validation_result, %{}, fn notice, acc ->\n      severity = notice[\"severity\"]\n      count = notice[\"totalNotices\"]\n\n      Map.update(acc, severity, count, fn existing_count ->\n        existing_count + count\n      end)\n    end)\n  end\n\n  @doc \"\"\"\n  iex> count_max_severity([%{\"severity\" => \"WARNING\", \"totalNotices\" => 1}, %{\"severity\" => \"WARNING\", \"totalNotices\" => 2}])\n  %{\"max_level\" => \"WARNING\", \"worst_occurrences\" => 3}\n  iex> count_max_severity([%{\"severity\" => \"ERROR\", \"totalNotices\" => 1}, %{\"severity\" => \"WARNING\", \"totalNotices\" => 2}])\n  %{\"max_level\" => \"ERROR\", \"worst_occurrences\" => 1}\n  iex> count_max_severity([])\n  %{\"max_level\" => \"NoError\", \"worst_occurrences\" => 0}\n  \"\"\"\n  @spec count_max_severity([map()]) :: map()\n  def count_max_severity(validation_result) when validation_result == [] do\n    %{\"max_level\" => @no_error, \"worst_occurrences\" => 0}\n  end\n\n  def count_max_severity(validation_result) do\n    {max_level, worst_occurrences} =\n      validation_result\n      |> count_by_severity()\n      |> Enum.min_by(fn {severity, _count} -> severity |> severity_level() end)\n\n    %{\"max_level\" => max_level, \"worst_occurrences\" => worst_occurrences}\n  end\n\n  @doc \"\"\"\n  iex> get_max_severity_error([%{\"severity\" => \"WARNING\", \"totalNotices\" => 1}, %{\"severity\" => \"WARNING\", \"totalNotices\" => 1}])\n  \"WARNING\"\n  iex> get_max_severity_error([%{\"severity\" => \"ERROR\", \"totalNotices\" => 1}, %{\"severity\" => \"WARNING\", \"totalNotices\" => 1}])\n  \"ERROR\"\n  iex> get_max_severity_error([%{\"severity\" => \"ERROR\", \"totalNotices\" => 1}, %{\"severity\" => \"WARNING\", \"totalNotices\" => 1}, %{\"severity\" => \"INFO\", \"totalNotices\" => 1}])\n  \"ERROR\"\n  iex> get_max_severity_error([])\n  \"NoError\"\n  \"\"\"\n  @spec get_max_severity_error([map()]) :: binary()\n  def get_max_severity_error(validation_result) do\n    %{\"max_level\" => max_level} = validation_result |> count_max_severity()\n    max_level\n  end\n\n  @doc \"\"\"\n  iex> no_error?(\"ERROR\")\n  false\n  iex> no_error?(\"NoError\")\n  true\n  \"\"\"\n  def no_error?(%{severity: severity}), do: no_error?(severity)\n  def no_error?(severity), do: severity == @no_error\n\n  @doc \"\"\"\n  iex> Gettext.put_locale(\"en\")\n  iex> format_severity(\"ERROR\", 1)\n  \"1 error\"\n  iex> format_severity(\"ERROR\", 2)\n  \"2 errors\"\n  iex> Gettext.put_locale(\"fr\")\n  iex> format_severity(\"ERROR\", 1)\n  \"1 erreur\"\n  iex> format_severity(\"ERROR\", 2_000)\n  \"2 000 erreurs\"\n  iex> assert_raise CaseClauseError, fn -> format_severity(\"NOPE\", 42) end\n  \"\"\"\n  @spec format_severity(binary(), non_neg_integer()) :: binary()\n  def format_severity(key, count) do\n    case key do\n      \"ERROR\" ->\n        dngettext(\"gtfs-transport-validator\", \"Error\", \"Errors\", count,\n          value: Helpers.format_number(count, locale: Gettext.get_locale())\n        )\n\n      \"WARNING\" ->\n        dngettext(\"gtfs-transport-validator\", \"Warning\", \"Warnings\", count,\n          value: Helpers.format_number(count, locale: Gettext.get_locale())\n        )\n\n      \"INFO\" ->\n        dngettext(\"gtfs-transport-validator\", \"Information\", \"Informations\", count,\n          value: Helpers.format_number(count, locale: Gettext.get_locale())\n        )\n    end\n  end\n\n  @doc \"\"\"\n  iex> rule_for_code(\"attribution_without_role\") |> Map.keys()\n  [\"code\", \"deprecated\", \"description\", \"properties\", \"references\", \"severityLevel\", \"shortSummary\", \"type\"]\n  \"\"\"\n  @spec rule_for_code(binary()) :: map()\n  def rule_for_code(code), do: Map.fetch!(@rules, code)\n\n  defp validator_client, do: Transport.Validators.MobilityDataGTFSValidatorClient.Wrapper.impl()\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\n\n  defp increment_counter(status), do: Appsignal.increment_counter(\"mobilitydata_gtfs_validator.#{status}\", 1)\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/mobilitydata_gtfs_validator_client.ex",
    "content": "defmodule Transport.Validators.MobilityDataGTFSValidatorClient.Wrapper do\n  @moduledoc \"\"\"\n  A client for the Canonical GTFS validator.\n  https://gtfs-validator.mobilitydata.org\n  \"\"\"\n\n  @callback create_a_validation(binary()) :: binary()\n  @callback get_a_validation(binary()) ::\n              :pending | {:successful, map()} | {:error, map()} | :unexpected_validation_status\n  @callback report_html_url(binary()) :: binary()\n  def impl, do: Application.get_env(:transport, :mobilitydata_gtfs_validator_client)\nend\n\ndefmodule Transport.Validators.MobilityDataGTFSValidatorClient do\n  @moduledoc \"\"\"\n  Implementation of the Canonical GTFS Validator client.\n  \"\"\"\n  @jobs_base_url \"https://gtfs-validator-web-mbzoxaljzq-ue.a.run.app\"\n  @results_base_url \"https://gtfs-validator-results.mobilitydata.org\"\n  @behaviour Transport.Validators.MobilityDataGTFSValidatorClient.Wrapper\n\n  @impl Transport.Validators.MobilityDataGTFSValidatorClient.Wrapper\n  def create_a_validation(gtfs_url) do\n    url = @jobs_base_url <> \"/create-job\"\n\n    data =\n      %{\n        \"countryCode\" => \"FR\",\n        \"url\" => gtfs_url\n      }\n      |> Jason.encode!()\n\n    %HTTPoison.Response{status_code: 200, body: body} =\n      http_client().post!(url, data, [{\"content-type\", \"application/json\"}] ++ http_headers(),\n        recv_timeout: :timer.seconds(10)\n      )\n\n    body |> Jason.decode!() |> Map.fetch!(\"jobId\")\n  end\n\n  @impl Transport.Validators.MobilityDataGTFSValidatorClient.Wrapper\n  def get_a_validation(job_id) do\n    %HTTPoison.Response{status_code: status, body: body} =\n      http_client().get!(execution_result_url(job_id), http_headers())\n\n    cond do\n      status == 404 ->\n        :pending\n\n      status == 200 ->\n        json = body |> Jason.decode!()\n\n        case Map.get(json, \"status\") do\n          \"success\" ->\n            %HTTPoison.Response{status_code: 200, body: body} = http_client().get!(report_url(job_id), http_headers())\n            {:successful, body |> Jason.decode!()}\n\n          \"error\" ->\n            %HTTPoison.Response{status_code: 200, body: body} = http_client().get!(report_url(job_id), http_headers())\n            report_json = body |> Jason.decode!()\n\n            %HTTPoison.Response{status_code: 200, body: body} =\n              http_client().get!(system_errors_url(job_id), http_headers())\n\n            system_errors = body |> Jason.decode!()\n            {:error, Map.put(report_json, \"system_errors\", system_errors)}\n\n          _ ->\n            :unexpected_validation_status\n        end\n\n      true ->\n        :unexpected_validation_status\n    end\n  end\n\n  @impl Transport.Validators.MobilityDataGTFSValidatorClient.Wrapper\n  def report_html_url(job_id), do: @results_base_url <> \"/#{job_id}/report.html\"\n\n  defp execution_result_url(job_id), do: @results_base_url <> \"/#{job_id}/execution_result.json\"\n  defp report_url(job_id), do: @results_base_url <> \"/#{job_id}/report.json\"\n  defp system_errors_url(job_id), do: @results_base_url <> \"/#{job_id}/system_errors.json\"\n\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\n\n  defp http_headers do\n    email = Application.fetch_env!(:transport, :contact_email)\n    [{\"user-agent\", \"French NAP; #{email}\"}]\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/netex/CHANGELOG.md",
    "content": "# Changelog for NeTEx validator\n\n## 0.1.0 - aka saas-production\n\nBase version. Uses the enroute:starter-kit profile. Issues are grouped per code\nwithout any specific inline documentation.\n\n## 0.2.0\n\n- XSD validation is reenabled.\n- Issues are now grouped by \"category\"\n  - category `\"xsd-schema\"` for errors related to the XSD validation (errors\n      prefixed `xsd-`).\n  - category `\"base-rules\"` for checks of the `enroute:starter-kit` profile.\n\nCategories are used to build the summary of a NeTEx validation. Each category\nhas a title, a description (providing links to any relevant documentation), and\nsome hints for usual errors (optional).\n\n## 0.2.1\n\n- Uses the profile `pan:french_profile:1` (which includes rules from\n    `enroute:starter-kit`)\n  - new rules introduced to check specific rules of the French profile\n      (mandatory attributes)\n\n## 0.2.2\n\n- Uses the profile `pan:french_profile:2` (which includes rules from\n    `enroute:starter-kit`)\n  - dropped rule on Point/Location\n"
  },
  {
    "path": "apps/transport/lib/validators/netex/metadata_extractor.ex",
    "content": "defmodule Transport.Validators.NeTEx.MetadataExtractor do\n  @moduledoc \"\"\"\n  Analyses the content of a NeTEx archive and tries its best to extract some metadata including:\n  - start_date and end_date (from calendar and service calendars)\n  \"\"\"\n\n  alias Transport.NeTEx.ArchiveParser\n\n  def extract(filepath) do\n    Map.merge(extract_validity_dates(filepath), describe_content(filepath))\n  end\n\n  def extract_validity_dates(filepath) do\n    case validity_dates(filepath) do\n      {start_date, end_date} ->\n        %{\n          \"start_date\" => start_date |> Date.to_iso8601(),\n          \"end_date\" => end_date |> Date.to_iso8601()\n        }\n\n      _ ->\n        no_validity_dates()\n    end\n  rescue\n    _ -> no_validity_dates()\n  end\n\n  def describe_content(filepath) do\n    empty = %{\n      \"networks\" => [],\n      \"modes\" => [],\n      \"stats\" => %{\n        \"lines_count\" => 0,\n        \"quays_count\" => 0,\n        \"stop_places_count\" => 0\n      },\n      \"features\" => %{\n        \"networks\" => false,\n        \"stops\" => false,\n        \"timetables\" => false,\n        \"fares\" => false,\n        \"parkings\" => false,\n        \"accessibility\" => false\n      }\n    }\n\n    try do\n      run_parser(filepath, &ArchiveParser.read_all_description/1, empty, fn elem, acc ->\n        %{\n          \"networks\" => acc[\"networks\"] ++ elem.networks,\n          \"modes\" => uniq(acc[\"modes\"] ++ elem.transport_modes),\n          \"stats\" => %{\n            \"lines_count\" => acc[\"stats\"][\"lines_count\"] + elem.lines,\n            \"quays_count\" => acc[\"stats\"][\"quays_count\"] + elem.quays,\n            \"stop_places_count\" => acc[\"stats\"][\"stop_places_count\"] + elem.stop_places\n          },\n          \"features\" => %{\n            \"networks\" => acc[\"features\"][\"networks\"] || elem.features.networks,\n            \"stops\" => acc[\"features\"][\"stops\"] || elem.features.stops,\n            \"timetables\" => acc[\"features\"][\"timetables\"] || elem.features.timetables,\n            \"fares\" => acc[\"features\"][\"fares\"] || elem.features.fares,\n            \"parkings\" => acc[\"features\"][\"parkings\"] || elem.features.parkings,\n            \"accessibility\" => acc[\"features\"][\"accessibility\"] || elem.features.accessibility\n          }\n        }\n      end)\n    rescue\n      _ -> empty\n    end\n  end\n\n  defp no_validity_dates, do: %{\"no_validity_dates\" => true}\n\n  defp validity_dates(filepath) do\n    all_dates =\n      validity_dates_from_service_calendars(filepath) ++\n        validity_dates_from_calendars(filepath)\n\n    dates_range(all_dates, :start_date, :end_date)\n  end\n\n  defp validity_dates_from_calendars(filepath) do\n    run_parser(filepath, &ArchiveParser.read_all_calendars/1)\n  end\n\n  defp validity_dates_from_service_calendars(filepath) do\n    run_parser(filepath, &ArchiveParser.read_all_service_calendars/1)\n  end\n\n  defp run_parser(filepath, parser, empty \\\\ [], msum \\\\ &Kernel.++/2) do\n    filepath\n    |> parser.()\n    |> flatten(empty, msum)\n  end\n\n  defp dates_range([], _, _), do: nil\n\n  defp dates_range(values, start_key, end_key) do\n    {\n      Enum.min_by(values, & &1[start_key], Date)[start_key],\n      Enum.max_by(values, & &1[end_key], Date)[end_key]\n    }\n  end\n\n  defp flatten(per_files, empty, msum) do\n    Enum.reduce(per_files, empty, fn {_filename, found}, acc ->\n      case found do\n        {:ok, values} -> msum.(values, acc)\n        _ -> acc\n      end\n    end)\n  end\n\n  defp uniq(list), do: list |> MapSet.new() |> MapSet.to_list()\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/netex/results_adapter.ex",
    "content": "defmodule Transport.Validators.NeTEx.ResultsAdapter do\n  @moduledoc \"\"\"\n  Interface for result adapters: helpers designed to interpret results of NeTEx validation.\n  \"\"\"\n\n  @callback summary(map()) :: list()\n  @callback count_by_severity(map()) :: map()\n  @callback get_issues(binary(), map(), Scrivener.Config.t()) :: {map(), {pos_integer(), list()}}\n  @callback digest(map()) :: map()\n  @callback issue_type(list()) :: nil | binary()\n  @callback format_severity(binary(), non_neg_integer()) :: binary()\n  @callback count_max_severity(map()) :: {binary(), integer()}\n  @callback no_error?(binary()) :: boolean()\n  @callback french_profile_compliance_check() :: :none | :partial | :good_enough\n  @callback french_profile() :: nil | module()\n  @callback to_dataframe(list()) :: Explorer.DataFrame.t()\n  @callback to_binary_result(list()) :: binary()\n  @callback summarize_xsd_errors(binary()) :: list()\n\n  def resolve(\"0.2.2\"), do: Transport.Validators.NeTEx.ResultsAdapters.V0_2_2\n  def resolve(\"0.2.1\"), do: Transport.Validators.NeTEx.ResultsAdapters.V0_2_1\n  def resolve(\"0.2.0\"), do: Transport.Validators.NeTEx.ResultsAdapters.V0_2_0\n  def resolve(_), do: Transport.Validators.NeTEx.ResultsAdapters.V0_1_0\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/netex/results_adapters/commons.ex",
    "content": "defmodule Transport.Validators.NeTEx.ResultsAdapters.Commons do\n  @moduledoc \"\"\"\n  Collection of helpers to be used by all results adapters.\n  \"\"\"\n  require Explorer.DataFrame, as: DF\n  alias Explorer.Series, as: S\n\n  @dtypes [\n    category: :category,\n    code: :category,\n    criticity: :category,\n    message: :string,\n    \"resource.class\": :category,\n    \"resource.column\": {:u, 8},\n    \"resource.filename\": :category,\n    \"resource.id\": :string,\n    \"resource.line\": {:u, 16}\n  ]\n\n  def to_dataframe(errors, extra_attributes_fun) do\n    errors\n    |> Enum.map(&project_error(&1, extra_attributes_fun))\n    |> DF.new(dtypes: @dtypes)\n  end\n\n  defp project_error(entry, extra_attributes_fun) do\n    mandatory_attributes = build_mandatory_attributes(entry)\n\n    resource = Map.get(entry, \"resource\", %{})\n\n    mandatory_attributes\n    |> Map.merge(build_resource_attributes(resource))\n    |> Map.merge(extra_attributes_fun.(mandatory_attributes))\n  end\n\n  defp build_mandatory_attributes(entry) do\n    %{\n      \"code\" => \"unknown-code\",\n      \"criticity\" => \"error\",\n      \"message\" => \"Unknown error\"\n    }\n    |> build_with_default_attributes(entry)\n  end\n\n  defp build_resource_attributes(resource) do\n    %{\n      \"resource.id\" => nil,\n      \"resource.line\" => nil,\n      \"resource.class\" => nil,\n      \"resource.column\" => nil,\n      \"resource.filename\" => nil\n    }\n    |> build_with_default_attributes(prefix_keys(resource, \"resource.\"))\n  end\n\n  defp prefix_keys(map, prefix) do\n    rename_keys(map, fn key -> \"#{prefix}#{key}\" end)\n  end\n\n  defp rename_keys(map, fun) do\n    map\n    |> Map.to_list()\n    |> Enum.map(fn {key, value} -> {fun.(key), value} end)\n    |> Map.new()\n  end\n\n  defp build_with_default_attributes(defaults, attributes) do\n    Map.merge(defaults, Map.intersect(defaults, attributes))\n  end\n\n  def to_binary(%Explorer.DataFrame{} = df) do\n    DF.dump_parquet!(df, compression: :brotli)\n  end\n\n  def from_binary(binary) when is_binary(binary) do\n    DF.load_parquet!(binary)\n  end\n\n  defp slice(df, %Scrivener.Config{} = config) do\n    df\n    |> DF.slice(page(config))\n    |> DF.select([\"code\", \"criticity\", \"message\", \"resource.filename\", \"resource.line\"])\n    |> DF.to_rows()\n  end\n\n  defp page(%Scrivener.Config{} = config) do\n    first = (config.page_number - 1) * config.page_size\n    last = config.page_number * config.page_size - 1\n    Range.new(first, last)\n  end\n\n  defp to_issues(entries), do: Enum.map(entries, &to_issue/1)\n\n  defp to_issue(%{} = entry) do\n    %{\n      \"code\" => entry[\"code\"],\n      \"message\" => entry[\"message\"],\n      \"criticity\" => entry[\"criticity\"],\n      \"resource\" =>\n        %{\n          \"filename\" => entry[\"resource.filename\"],\n          \"line\" => entry[\"resource.line\"]\n        }\n        |> drop_empty_values()\n    }\n    |> drop_empty_values()\n  end\n\n  defp drop_empty_values(map), do: Map.filter(map, fn {_key, value} -> value != %{} and not is_nil(value) end)\n\n  def get_values(%Explorer.DataFrame{} = df, column) do\n    if has_column?(df, column) do\n      df\n      |> DF.distinct([column])\n      |> DF.to_rows()\n      |> Enum.map(& &1[column])\n    else\n      []\n    end\n  end\n\n  def count_and_slice(%Explorer.DataFrame{} = df, pagination_config) do\n    total_count = S.count(df[\"code\"])\n\n    issues =\n      df\n      |> slice(pagination_config)\n      |> to_issues()\n\n    {total_count, issues}\n  end\n\n  def has_column?(df, column_name) do\n    df\n    |> DF.names()\n    |> Enum.member?(column_name)\n  end\n\n  def summarize_xsd_errors(df) do\n    if has_column?(df, \"category\") do\n      df\n      |> DF.frequencies([\"message\"])\n      |> DF.sort_by(desc: counts)\n      |> DF.to_rows()\n    else\n      []\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/netex/results_adapters/v0_1_0.ex",
    "content": "defmodule Transport.Validators.NeTEx.ResultsAdapters.V0_1_0 do\n  @moduledoc \"\"\"\n  Helper module to build and interpret results for NeTEx validation prior to 0.2.0.\n  \"\"\"\n\n  use Gettext, backend: TransportWeb.Gettext\n\n  require Explorer.DataFrame, as: DF\n  alias Transport.Validators.NeTEx.ResultsAdapters.Commons\n\n  @behaviour Transport.Validators.NeTEx.ResultsAdapter\n\n  @no_error \"NoError\"\n\n  @unknown_code \"unknown-code\"\n\n  @doc \"\"\"\n  Returns the maximum severity, with the issues count\n\n  iex> validation_result = %{\"uic-operating-period\" => [%{\"criticity\" => \"error\"}], \"valid-day-bits\" => [%{\"criticity\" => \"error\"}], \"frame-arret-resources\" => [%{\"criticity\" => \"warning\"}]}\n  iex> count_max_severity(validation_result)\n  %{\"max_level\" => \"error\", \"worst_occurrences\" => 2}\n  iex> validation_result = %{\"frame-arret-resources\" => [%{\"criticity\" => \"warning\"}]}\n  iex> count_max_severity(validation_result)\n  %{\"max_level\" => \"warning\", \"worst_occurrences\" => 1}\n  iex> count_max_severity(%{})\n  %{\"max_level\" => \"NoError\", \"worst_occurrences\" => 0}\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def count_max_severity(validation_result) when validation_result == %{} do\n    %{\"max_level\" => @no_error, \"worst_occurrences\" => 0}\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def count_max_severity(%{} = validation_result) do\n    {max_level, worst_occurrences} =\n      validation_result\n      |> count_by_severity()\n      |> Enum.min_by(fn {severity, _count} -> severity |> severity_level() end)\n\n    %{\"max_level\" => max_level, \"worst_occurrences\" => worst_occurrences}\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def no_error?(severity), do: @no_error == severity\n\n  @spec severity_level(binary()) :: integer()\n  def severity_level(key) do\n    case key do\n      \"error\" -> 1\n      \"warning\" -> 2\n      \"information\" -> 3\n      _ -> 4\n    end\n  end\n\n  @doc \"\"\"\n  iex> Gettext.put_locale(\"en\")\n  iex> format_severity(\"error\", 1)\n  \"1 error\"\n  iex> format_severity(\"error\", 2)\n  \"2 errors\"\n  iex> Gettext.put_locale(\"fr\")\n  iex> format_severity(\"error\", 1)\n  \"1 erreur\"\n  iex> format_severity(\"error\", 2)\n  \"2 erreurs\"\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def format_severity(key, count) do\n    case key do\n      \"error\" ->\n        dngettext(\"netex-validator\", \"error\", \"errors\", count,\n          value: Helpers.format_number(count, locale: Gettext.get_locale())\n        )\n\n      \"warning\" ->\n        dngettext(\"netex-validator\", \"warning\", \"warnings\", count,\n          value: Helpers.format_number(count, locale: Gettext.get_locale())\n        )\n\n      \"information\" ->\n        dngettext(\"netex-validator\", \"information\", \"informations\", count,\n          value: Helpers.format_number(count, locale: Gettext.get_locale())\n        )\n    end\n  end\n\n  @doc \"\"\"\n  Returns the number of issues by severity level\n\n  iex> validation_result = %{\"uic-operating-period\" => [%{\"criticity\" => \"warning\"}], \"valid-day-bits\" => [%{\"criticity\" => \"error\"}], \"frame-arret-resources\" => [%{\"criticity\" => \"error\"}]}\n  iex> count_by_severity(validation_result)\n  %{\"warning\" => 1, \"error\" => 2}\n\n  iex> count_by_severity(%{})\n  %{}\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def count_by_severity(%{} = validation_result) do\n    validation_result\n    |> Enum.flat_map(fn {_, v} -> v end)\n    |> Enum.reduce(%{}, fn v, acc -> Map.update(acc, v[\"criticity\"], 1, &(&1 + 1)) end)\n  end\n\n  def count_by_severity(_), do: %{}\n\n  @doc \"\"\"\n  iex> validation_result = %{\"uic-operating-period\" => [%{\"code\" => \"uic-operating-period\", \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\", \"criticity\" => \"error\"}], \"valid-day-bits\" => [%{\"code\" => \"valid-day-bits\", \"message\" => \"Mandatory attribute valid_day_bits not found\", \"criticity\" => \"error\"}], \"frame-arret-resources\" => [%{\"code\" => \"frame-arret-resources\", \"message\" => \"Tag frame_id doesn't match ''\", \"criticity\" => \"warning\"}]}\n  iex> summary(validation_result)\n  [\n    %{\"severity\" => \"error\", \"issues\" => [\n      %{\"key\" => \"uic-operating-period\", \"issue\" => %{\"count\" => 1, \"criticity\" => \"error\", \"title\" => \"UIC operating period\"}},\n      %{\"key\" => \"valid-day-bits\", \"issue\" => %{\"count\" => 1, \"criticity\" => \"error\", \"title\" => \"Valid day bits\"}}\n    ]},\n    %{\"severity\" => \"warning\", \"issues\" => [%{\"key\" => \"frame-arret-resources\", \"issue\" => %{\"count\" => 1, \"criticity\" => \"warning\", \"title\" => \"Frame arret resources\"}}]}\n  ]\n  iex> summary(%{})\n  []\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def summary(%{} = validation_result) do\n    validation_result\n    |> Enum.map(fn {code, errors} ->\n      {code,\n       %{\n         \"count\" => length(errors),\n         \"criticity\" => errors |> hd() |> Map.get(\"criticity\"),\n         \"title\" => issues_short_translation_per_code(code)\n       }}\n    end)\n    |> Enum.group_by(fn {_, details} -> details[\"criticity\"] end)\n    |> Enum.sort_by(fn {criticity, _} -> severity_level(criticity) end)\n    |> Enum.map(fn {severity, issues} ->\n      %{\n        \"severity\" => severity,\n        \"issues\" => issues |> Enum.map(fn {key, issue} -> %{\"key\" => key, \"issue\" => issue} end)\n      }\n    end)\n  end\n\n  @spec issues_short_translation_per_code(binary()) :: binary()\n  defp issues_short_translation_per_code(code) do\n    if String.starts_with?(code, \"xsd-\") do\n      dgettext(\"netex-validator\", \"XSD validation\")\n    else\n      Map.get(issues_short_translation(), code, code)\n    end\n  end\n\n  @spec issues_short_translation() :: %{binary() => binary()}\n  defp issues_short_translation,\n    do: %{\n      \"composite-frame-ligne-mandatory\" => dgettext(\"netex-validator\", \"Composite frame ligne mandatory\"),\n      \"frame-arret-resources\" => dgettext(\"netex-validator\", \"Frame arret resources\"),\n      \"frame-calendrier-resources\" => dgettext(\"netex-validator\", \"Frame calendrier resources\"),\n      \"frame-horaire-resources\" => dgettext(\"netex-validator\", \"Frame horaire resources\"),\n      \"frame-ligne-resources\" => dgettext(\"netex-validator\", \"Frame ligne resources\"),\n      \"frame-reseau-resources\" => dgettext(\"netex-validator\", \"Frame reseau resources\"),\n      \"latitude-mandatory\" => dgettext(\"netex-validator\", \"Latitude mandatory\"),\n      \"longitude-mandatory\" => dgettext(\"netex-validator\", \"Longitude mandatory\"),\n      \"uic-operating-period\" => dgettext(\"netex-validator\", \"UIC operating period\"),\n      \"valid-day-bits\" => dgettext(\"netex-validator\", \"Valid day bits\"),\n      \"version-any\" => dgettext(\"netex-validator\", \"Version any\"),\n      @unknown_code => dgettext(\"netex-validator\", \"Unspecified error\")\n    }\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def issue_type([]), do: nil\n  def issue_type([h | _]), do: h[\"code\"] || @unknown_code\n\n  @doc \"\"\"\n  Get issues from validation results. For a specific issue type if specified, or the most severe.\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def get_issues(binary, %{} = filter, %Scrivener.Config{} = pagination_config) when is_binary(binary) do\n    binary\n    |> Commons.from_binary()\n    |> get_issues(filter, pagination_config)\n  end\n\n  def get_issues(\n        %Explorer.DataFrame{} = df,\n        %{\"issue_type\" => issue_type} = filter,\n        %Scrivener.Config{} = pagination_config\n      ) do\n    results =\n      if Commons.has_column?(df, \"code\") do\n        df\n        |> DF.filter(code == ^issue_type)\n        |> order_issues_by_location()\n        |> Commons.count_and_slice(pagination_config)\n      else\n        {0, []}\n      end\n\n    {filter, results}\n  end\n\n  def get_issues(%Explorer.DataFrame{} = df, %{}, %Scrivener.Config{} = pagination_config) do\n    filter = %{\"issue_type\" => pick_default_issue_type(df)}\n\n    get_issues(df, filter, pagination_config)\n  end\n\n  def get_issues(_, _, _), do: {%{\"issue_type\" => \"\"}, {0, []}}\n\n  def pick_default_issue_type(%Explorer.DataFrame{} = df) do\n    get_codes(df) |> List.first() || \"\"\n  end\n\n  def get_codes(%Explorer.DataFrame{} = df), do: Commons.get_values(df, \"code\")\n\n  def order_issues_by_location(%Explorer.DataFrame{} = df) do\n    df\n    |> DF.sort_by(&[&1[\"resource.filename\"], &1[\"resource.line\"], &1[\"message\"]])\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def french_profile_compliance_check, do: :none\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def french_profile, do: nil\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def digest(validation_result) do\n    %{\n      \"summary\" => summary(validation_result),\n      \"stats\" => count_by_severity(validation_result),\n      \"max_severity\" => count_max_severity(validation_result)\n    }\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def to_dataframe(errors), do: Commons.to_dataframe(errors, fn _ -> %{} end)\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def to_binary_result(result) do\n    result\n    |> Map.values()\n    |> List.flatten()\n    |> to_dataframe()\n    |> Commons.to_binary()\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def summarize_xsd_errors(_binary_result), do: []\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/netex/results_adapters/v0_2_0.ex",
    "content": "defmodule Transport.Validators.NeTEx.ResultsAdapters.V0_2_0 do\n  @moduledoc \"\"\"\n  ResultsAdapter implementation for version 0.2.0.\n  \"\"\"\n\n  use Gettext, backend: TransportWeb.Gettext\n\n  require Explorer.DataFrame, as: DF\n  alias Transport.Validators.NeTEx.ResultsAdapters.Commons\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_1_0\n\n  @behaviour Transport.Validators.NeTEx.ResultsAdapter\n\n  @no_error \"NoError\"\n\n  @unknown_code \"unknown-code\"\n\n  @xsd_schema_category \"xsd-schema\"\n\n  @base_rules_category \"base-rules\"\n\n  @categories_preferred_order [\n    @xsd_schema_category,\n    @base_rules_category\n  ]\n\n  @doc \"\"\"\n  Returns the maximum issue severity found\n\n  iex> validation_result = %{\"uic-operating-period\" => [%{\"criticity\" => \"error\"}], \"valid-day-bits\" => [%{\"criticity\" => \"error\"}], \"frame-arret-resources\" => [%{\"criticity\" => \"error\"}]}\n  iex> get_max_severity_error(validation_result)\n  \"error\"\n\n  iex> get_max_severity_error(%{})\n  \"NoError\"\n  \"\"\"\n  @spec get_max_severity_error(map()) :: binary()\n  def get_max_severity_error(validation_result) do\n    %{\"max_level\" => severity} = validation_result |> count_max_severity()\n    severity\n  end\n\n  @doc \"\"\"\n  Returns the maximum severity, with the issues count\n\n  iex> validation_result = %{\"xsd-schema\" => [%{\"criticity\" => \"error\"}], \"french-profile\" => [%{\"criticity\" => \"error\"}], \"frame-arret-resources\" => [%{\"criticity\" => \"warning\"}]}\n  iex> count_max_severity(validation_result)\n  %{\"max_level\" => \"error\", \"worst_occurrences\" => 2}\n  iex> validation_result = %{\"french-profile\" => [%{\"criticity\" => \"warning\"}]}\n  iex> count_max_severity(validation_result)\n  %{\"max_level\" => \"warning\", \"worst_occurrences\" => 1}\n  iex> count_max_severity(%{})\n  %{\"max_level\" => \"NoError\", \"worst_occurrences\" => 0}\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate count_max_severity(validation_result), to: V0_1_0\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate no_error?(severity), to: V0_1_0\n\n  @spec severity_level(binary()) :: integer()\n  defdelegate severity_level(key), to: V0_1_0\n\n  @doc \"\"\"\n  iex> Gettext.put_locale(\"en\")\n  iex> format_severity(\"error\", 1)\n  \"1 error\"\n  iex> format_severity(\"error\", 2)\n  \"2 errors\"\n  iex> format_severity(\"NoError\", 0)\n  \"no error\"\n  iex> Gettext.put_locale(\"fr\")\n  iex> format_severity(\"error\", 1)\n  \"1 erreur\"\n  iex> format_severity(\"error\", 2)\n  \"2 erreurs\"\n  iex> format_severity(\"NoError\", 0)\n  \"aucune erreur\"\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def format_severity(key, count) do\n    case key do\n      @no_error -> dgettext(\"netex-validator\", \"no error\")\n      _ -> V0_1_0.format_severity(key, count)\n    end\n  end\n\n  @doc \"\"\"\n  Returns the number of issues by severity level\n\n  iex> validation_result = %{\"uic-operating-period\" => [%{\"criticity\" => \"warning\"}], \"valid-day-bits\" => [%{\"criticity\" => \"error\"}], \"frame-arret-resources\" => [%{\"criticity\" => \"error\"}]}\n  iex> count_by_severity(validation_result)\n  %{\"warning\" => 1, \"error\" => 2}\n\n  iex> count_by_severity(%{})\n  %{}\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate count_by_severity(validation_result), to: V0_1_0\n\n  @doc \"\"\"\n  iex> index_messages([])\n  %{}\n\n  iex> index_messages([%{\"code\"=>\"xsd-123\", \"id\"=> 1}, %{\"code\"=>\"xsd-456\", \"id\"=> 2}, %{\"code\"=>\"b\", \"id\"=> 3}])\n  %{\"xsd-schema\"=>[%{\"code\"=>\"xsd-123\", \"id\"=> 1}, %{\"code\"=>\"xsd-456\", \"id\"=> 2}], \"base-rules\"=>[%{\"code\"=>\"b\", \"id\"=> 3}]}\n\n  Sometimes the message has no code\n  iex> index_messages([%{\"code\"=>\"xsd-123\", \"id\"=> 1}, %{\"code\"=>\"xsd-456\", \"id\"=> 2}, %{\"id\"=> 3}])\n  %{\"xsd-schema\"=>[%{\"code\"=>\"xsd-123\", \"id\"=> 1}, %{\"code\"=>\"xsd-456\", \"id\"=> 2}], \"base-rules\"=>[%{\"id\"=> 3}]}\n  \"\"\"\n  def index_messages(messages), do: Enum.group_by(messages, &index_message/1)\n\n  def index_message(message), do: message |> get_code() |> categorize()\n\n  defp categorize(code) do\n    if String.starts_with?(code, \"xsd-\") do\n      @xsd_schema_category\n    else\n      @base_rules_category\n    end\n  end\n\n  defp get_code(%{\"code\" => code}), do: code\n  defp get_code(%{}), do: @unknown_code\n\n  @doc \"\"\"\n  iex> validation_result = %{\"xsd-schema\" => [%{\"code\" => \"xsd-123\", \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\", \"criticity\" => \"error\"}], \"base-rules\" => [%{\"code\" => \"valid-day-bits\", \"message\" => \"Mandatory attribute valid_day_bits not found\", \"criticity\" => \"error\"}]}\n  iex> summary(validation_result)\n  [\n    %{\"category\" => \"xsd-schema\", \"stats\" => %{\"count\" => 1, \"criticity\" => \"error\"}},\n    %{\"category\" => \"base-rules\", \"stats\" => %{\"count\" => 1, \"criticity\" => \"error\"}}\n  ]\n  iex> summary(%{})\n  [\n    %{\"category\" => \"xsd-schema\", \"stats\" => %{\"count\" => 0, \"criticity\" => \"NoError\"}},\n    %{\"category\" => \"base-rules\", \"stats\" => %{\"count\" => 0, \"criticity\" => \"NoError\"}}\n  ]\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def summary(%{} = validation_result) do\n    @categories_preferred_order\n    |> Enum.map(fn category ->\n      errors = validation_result |> Map.get(category, [])\n\n      worst_criticity =\n        errors\n        |> Enum.map(fn error -> Map.get(error, \"criticity\", @no_error) end)\n        |> Enum.min_by(&severity_level/1, fn -> @no_error end)\n\n      stats = %{\"count\" => length(errors), \"criticity\" => worst_criticity}\n\n      %{\"category\" => category, \"stats\" => stats}\n    end)\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate issue_type(list), to: V0_1_0\n\n  @doc \"\"\"\n  Get issues from validation results, filtered on category, and paginated.\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def get_issues(binary, %{} = filter, %Scrivener.Config{} = pagination_config) when is_binary(binary) do\n    binary\n    |> Commons.from_binary()\n    |> get_issues(filter, pagination_config)\n  end\n\n  def get_issues(\n        %Explorer.DataFrame{} = df,\n        %{\"issues_category\" => issues_category} = filter,\n        %Scrivener.Config{} = pagination_config\n      ) do\n    results =\n      if Commons.has_column?(df, \"category\") do\n        df\n        |> DF.filter(category == ^issues_category)\n        |> order_issues_by_location()\n        |> Commons.count_and_slice(pagination_config)\n      else\n        {0, []}\n      end\n\n    {filter, results}\n  end\n\n  def get_issues(%Explorer.DataFrame{} = df, %{}, %Scrivener.Config{} = pagination_config) do\n    default_category = pick_default_category(df)\n\n    get_issues(df, %{\"issues_category\" => default_category}, pagination_config)\n  end\n\n  def get_issues(_, _, _), do: {%{\"issues_category\" => @xsd_schema_category}, {0, []}}\n\n  def pick_default_category(%Explorer.DataFrame{} = df), do: pick_default_category(df, @categories_preferred_order)\n\n  def pick_default_category(%Explorer.DataFrame{} = df, categories_preferred_order) do\n    categories = get_categories(df)\n\n    ordered_categories = categories_preferred_order |> Enum.with_index() |> Map.new()\n\n    default_category = categories |> Enum.sort_by(&ordered_categories[&1]) |> List.first()\n\n    default_category || @xsd_schema_category\n  end\n\n  def get_categories(%Explorer.DataFrame{} = df), do: Commons.get_values(df, \"category\")\n\n  defdelegate order_issues_by_location(issues), to: V0_1_0\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate french_profile_compliance_check(), to: V0_1_0\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def french_profile, do: nil\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def digest(validation_result) do\n    %{\n      \"summary\" => summary(validation_result),\n      \"stats\" => count_by_severity(validation_result),\n      \"max_severity\" => count_max_severity(validation_result)\n    }\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def to_dataframe(errors) do\n    Commons.to_dataframe(errors, &build_synthetic_attributes/1)\n  end\n\n  defp build_synthetic_attributes(mandatory_attributes) do\n    %{\n      \"category\" => categorize(mandatory_attributes[\"code\"])\n    }\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def to_binary_result(result) do\n    result\n    |> Map.values()\n    |> List.flatten()\n    |> to_dataframe()\n    |> Commons.to_binary()\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def summarize_xsd_errors(binary_result) do\n    df = Commons.from_binary(binary_result)\n\n    if Commons.has_column?(df, \"category\") do\n      df\n      |> DF.filter(category == ^@xsd_schema_category)\n      |> Commons.summarize_xsd_errors()\n    else\n      []\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/netex/results_adapters/v0_2_1.ex",
    "content": "defmodule Transport.Validators.NeTEx.ResultsAdapters.V0_2_1 do\n  @moduledoc \"\"\"\n  ResultsAdapter implementation for version 0.2.1.\n  \"\"\"\n\n  use Gettext, backend: TransportWeb.Gettext\n\n  require Explorer.DataFrame, as: DF\n  alias Transport.Validators.NeTEx.ResultsAdapters.Commons\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_0\n\n  @behaviour Transport.Validators.NeTEx.ResultsAdapter\n\n  @no_error \"NoError\"\n\n  @unknown_code \"unknown-code\"\n\n  @xsd_schema_category \"xsd-schema\"\n\n  @french_profile_category \"french-profile\"\n\n  @base_rules_category \"base-rules\"\n\n  @categories_preferred_order [\n    @xsd_schema_category,\n    @french_profile_category,\n    @base_rules_category\n  ]\n\n  @spec get_max_severity_error(map()) :: binary()\n  defdelegate get_max_severity_error(validation_result), to: V0_2_0\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate count_max_severity(validation_result), to: V0_2_0\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate no_error?(severity), to: V0_2_0\n\n  @spec severity_level(binary()) :: integer()\n  defdelegate severity_level(key), to: V0_2_0\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate format_severity(key, count), to: V0_2_0\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate count_by_severity(validation_result), to: V0_2_0\n\n  @doc \"\"\"\n  iex> index_messages([])\n  %{}\n\n  iex> index_messages([%{\"code\"=>\"xsd-123\", \"id\"=> 1}, %{\"code\"=>\"xsd-456\", \"id\"=> 2}, %{\"code\"=>\"pan:french_profile:123\", \"id\"=> 1}, %{\"code\"=>\"b\", \"id\"=> 3}])\n  %{\"xsd-schema\"=>[%{\"code\"=>\"xsd-123\", \"id\"=> 1}, %{\"code\"=>\"xsd-456\", \"id\"=> 2}], \"french-profile\"=>[%{\"code\"=>\"pan:french_profile:123\", \"id\"=> 1}], \"base-rules\"=>[%{\"code\"=>\"b\", \"id\"=> 3}]}\n\n  Sometimes the message has no code\n  iex> index_messages([%{\"code\"=>\"xsd-123\", \"id\"=> 1}, %{\"code\"=>\"xsd-456\", \"id\"=> 2}, %{\"id\"=> 3}])\n  %{\"xsd-schema\"=>[%{\"code\"=>\"xsd-123\", \"id\"=> 1}, %{\"code\"=>\"xsd-456\", \"id\"=> 2}], \"base-rules\"=>[%{\"id\"=> 3}]}\n  \"\"\"\n  def index_messages(messages), do: Enum.group_by(messages, &index_message/1)\n\n  def index_message(message), do: message |> get_code() |> categorize()\n\n  defp categorize(code) do\n    cond do\n      String.starts_with?(code, \"xsd-\") -> @xsd_schema_category\n      String.starts_with?(code, \"pan:french_profile:\") -> @french_profile_category\n      true -> @base_rules_category\n    end\n  end\n\n  defp get_code(%{\"code\" => code}), do: code\n  defp get_code(%{}), do: @unknown_code\n\n  @doc \"\"\"\n  iex> validation_result = %{\"xsd-schema\" => [%{\"code\" => \"xsd-123\", \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\", \"criticity\" => \"error\"}], \"french-profile\"=>[%{\"code\"=>\"pan:french_profile:123\", \"criticity\" => \"error\"}], \"base-rules\" => [%{\"code\" => \"valid-day-bits\", \"message\" => \"Mandatory attribute valid_day_bits not found\", \"criticity\" => \"error\"}]}\n  iex> summary(validation_result)\n  [\n    %{\"category\" => \"xsd-schema\", \"stats\" => %{\"count\" => 1, \"criticity\" => \"error\"}},\n    %{\"category\" => \"french-profile\", \"stats\" => %{\"count\" => 1, \"criticity\" => \"error\"}},\n    %{\"category\" => \"base-rules\", \"stats\" => %{\"count\" => 1, \"criticity\" => \"error\"}}\n  ]\n  iex> summary(%{})\n  [\n    %{\"category\" => \"xsd-schema\", \"stats\" => %{\"count\" => 0, \"criticity\" => \"NoError\"}},\n    %{\"category\" => \"french-profile\", \"stats\" => %{\"count\" => 0, \"criticity\" => \"NoError\"}},\n    %{\"category\" => \"base-rules\", \"stats\" => %{\"count\" => 0, \"criticity\" => \"NoError\"}}\n  ]\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def summary(%{} = validation_result) do\n    @categories_preferred_order\n    |> Enum.map(fn category ->\n      errors = validation_result |> Map.get(category, [])\n\n      worst_criticity =\n        errors\n        |> Enum.map(fn error -> Map.get(error, \"criticity\", @no_error) end)\n        |> Enum.min_by(&severity_level/1, fn -> @no_error end)\n\n      stats = %{\"count\" => length(errors), \"criticity\" => worst_criticity}\n\n      %{\"category\" => category, \"stats\" => stats}\n    end)\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate issue_type(list), to: V0_2_0\n\n  @doc \"\"\"\n  Get issues from validation results, filtered on category, and paginated.\n  \"\"\"\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def get_issues(binary, %{} = filter, %Scrivener.Config{} = pagination_config) when is_binary(binary) do\n    binary\n    |> Commons.from_binary()\n    |> get_issues(filter, pagination_config)\n  end\n\n  def get_issues(\n        %Explorer.DataFrame{} = df,\n        %{\"issues_category\" => issues_category} = filter,\n        %Scrivener.Config{} = pagination_config\n      ) do\n    results =\n      if Commons.has_column?(df, \"category\") do\n        df\n        |> DF.filter(category == ^issues_category)\n        |> order_issues_by_location()\n        |> Commons.count_and_slice(pagination_config)\n      else\n        {0, []}\n      end\n\n    {filter, results}\n  end\n\n  def get_issues(%Explorer.DataFrame{} = df, %{}, %Scrivener.Config{} = pagination_config) do\n    default_category = pick_default_category(df)\n\n    get_issues(df, %{\"issues_category\" => default_category}, pagination_config)\n  end\n\n  def get_issues(_, _, _), do: {%{\"issues_category\" => @xsd_schema_category}, {0, []}}\n\n  defdelegate get_categories(df), to: V0_2_0\n\n  def pick_default_category(%Explorer.DataFrame{} = df) do\n    pick_default_category(df, @categories_preferred_order)\n  end\n\n  defdelegate pick_default_category(df, categories_preferred_order), to: V0_2_0\n\n  defdelegate order_issues_by_location(issues), to: V0_2_0\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def french_profile_compliance_check, do: :partial\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def french_profile, do: Transport.NeTEx.FrenchProfile.V1\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def digest(validation_result) do\n    %{\n      \"summary\" => summary(validation_result),\n      \"stats\" => count_by_severity(validation_result),\n      \"max_severity\" => count_max_severity(validation_result)\n    }\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def to_dataframe(errors) do\n    Commons.to_dataframe(errors, &build_synthetic_attributes/1)\n  end\n\n  defp build_synthetic_attributes(mandatory_attributes) do\n    %{\n      \"category\" => categorize(mandatory_attributes[\"code\"])\n    }\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def to_binary_result(result) do\n    result\n    |> Map.values()\n    |> List.flatten()\n    |> to_dataframe()\n    |> Commons.to_binary()\n  end\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate summarize_xsd_errors(binary_result), to: V0_2_0\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/netex/results_adapters/v0_2_2.ex",
    "content": "defmodule Transport.Validators.NeTEx.ResultsAdapters.V0_2_2 do\n  @moduledoc \"\"\"\n  ResultsAdapter implementation for version 0.2.2.\n  \"\"\"\n\n  @behaviour Transport.Validators.NeTEx.ResultsAdapter\n\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_1, as: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def french_profile_compliance_check, do: :partial\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  def french_profile, do: Transport.NeTEx.FrenchProfile.V2\n\n  # Following functions are all delegated to V0_2_1\n\n  @spec get_max_severity_error(map()) :: binary()\n  defdelegate get_max_severity_error(validation_result), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate count_max_severity(validation_result), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate no_error?(severity), to: Previous\n\n  @spec severity_level(binary()) :: integer()\n  defdelegate severity_level(key), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate format_severity(key, count), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate count_by_severity(validation_result), to: Previous\n\n  defdelegate index_messages(messages), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate summary(validation_result), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate issue_type(list), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate get_issues(binary, filter, pagination_config), to: Previous\n\n  defdelegate get_categories(df), to: Previous\n\n  defdelegate pick_default_category(df, categories_preferred_order), to: Previous\n\n  defdelegate order_issues_by_location(issues), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate digest(validation_result), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate to_dataframe(errors), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate to_binary_result(result), to: Previous\n\n  @impl Transport.Validators.NeTEx.ResultsAdapter\n  defdelegate summarize_xsd_errors(binary_result), to: Previous\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/netex/validator.ex",
    "content": "defmodule Transport.Validators.NeTEx.Validator do\n  @moduledoc \"\"\"\n  Validator for NeTEx files calling enRoute Chouette Valid API. This is blocking\n  (by polling the tier API) and can take quite some time upon completion.\n  \"\"\"\n\n  require Logger\n  alias Transport.Jobs.NeTExPollerJob, as: Poller\n  alias Transport.Validators.NeTEx.MetadataExtractor\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_2, as: ResultsAdapter\n\n  @behaviour Transport.Validators.Validator\n\n  # 180 * 20 seconds = 1 hour\n  @max_attempts 180\n\n  defmacro too_many_attempts(attempt) do\n    quote do\n      unquote(attempt) > unquote(@max_attempts)\n    end\n  end\n\n  @doc \"\"\"\n  Poll interval to play nice with the tier.\n\n  iex> 0..9 |> Enum.map(&poll_interval(&1))\n  [10, 10, 10, 10, 10, 10, 20, 20, 20, 20]\n  \"\"\"\n  def poll_interval(nb_tries) when nb_tries < 6, do: 10\n  def poll_interval(_), do: 20\n\n  @validator_name \"enroute-chouette-netex-validator\"\n\n  @impl Transport.Validators.Validator\n  def validator_name, do: @validator_name\n\n  # This will change with an actual versioning of the validator\n  def validator_version, do: \"0.2.1\"\n\n  @impl Transport.Validators.Validator\n  def validate_and_save(%DB.ResourceHistory{} = resource_history) do\n    Logger.info(\"Validating NeTEx #{resource_history.id} with enRoute Chouette Valid\")\n\n    with_resource_file(resource_history, &validate_resource_history(resource_history, &1))\n  end\n\n  def validate_resource_history(resource_history, filepath) do\n    metadata = MetadataExtractor.extract(filepath)\n\n    validate_with_enroute(filepath, metadata)\n    |> handle_validation_results(resource_history.id, metadata, &enqueue_poller(resource_history.id, &1, metadata))\n  end\n\n  def enqueue_poller(resource_history_id, validation_id, metadata, attempt \\\\ 0) do\n    {:ok, _job} =\n      Poller.new(%{\n        \"validation_id\" => validation_id,\n        \"resource_history_id\" => resource_history_id,\n        \"metadata\" => metadata\n      })\n      |> Oban.insert(schedule_in: _seconds = poll_interval(attempt))\n\n    :ok\n  end\n\n  def handle_validation_results(validation_results, resource_history_id, metadata, on_pending) do\n    case validation_results do\n      {:ok, %{url: result_url, elapsed_seconds: elapsed_seconds, retries: retries}} ->\n        notify_success()\n\n        insert_validation_results(\n          resource_history_id,\n          result_url,\n          Map.merge(metadata, %{elapsed_seconds: elapsed_seconds, retries: retries})\n        )\n\n        :ok\n\n      {:error, %{details: {result_url, errors}, elapsed_seconds: elapsed_seconds, retries: retries}} ->\n        notify_success()\n\n        insert_validation_results(\n          resource_history_id,\n          result_url,\n          Map.merge(metadata, %{elapsed_seconds: elapsed_seconds, retries: retries}),\n          errors\n        )\n\n        :ok\n\n      {:error, :unexpected_validation_status} ->\n        notify_invalid_api_call(resource_history_id)\n\n        Logger.error(\"Invalid API call to enRoute Chouette Valid (resource_history_id: #{resource_history_id})\")\n\n        :ok\n\n      {:error, %{message: :timeout, retries: _retries}} ->\n        notify_timeout(resource_history_id)\n\n        Logger.error(\n          \"Timeout while fetching results on enRoute Chouette Valid (resource_history_id: #{resource_history_id})\"\n        )\n\n        :ok\n\n      {:pending, {validation_id, _metatada}} ->\n        on_pending.(validation_id)\n    end\n  end\n\n  @type metadata :: map()\n\n  @type error_details :: %{:metata => metadata(), :message => String.t(), optional(:retries) => integer()}\n\n  @type validation_id :: binary()\n\n  @type validation_results :: {:ok, map()} | {:error, error_details()} | {:pending, validation_id()}\n\n  @doc \"\"\"\n  Validate the resource from the given URL.\n\n  Used by OnDemand job.\n  \"\"\"\n  @spec validate(binary()) :: validation_results()\n  def validate(url) do\n    with_url(url, fn filepath ->\n      metadata = MetadataExtractor.extract(filepath)\n\n      validate_with_enroute(filepath, metadata) |> handle_validation_results_on_demand(metadata)\n    end)\n  end\n\n  @doc \"\"\"\n  Continuation for the validate function (when result was pending).\n\n  Let the OnDemand job yield while waiting for results without having the OnDemand implementation leak here.\n  \"\"\"\n  @spec poll_validation(validation_id(), map(), non_neg_integer()) :: validation_results()\n  def poll_validation(validation_id, metadata, retries) do\n    poll_validation_results(validation_id, metadata, retries) |> handle_validation_results_on_demand(metadata)\n  end\n\n  defp handle_validation_results_on_demand(validation_results, metadata) do\n    case validation_results do\n      {:ok, %{url: result_url, elapsed_seconds: elapsed_seconds, retries: retries}} ->\n        notify_success()\n        # result_url in metadata?\n        Logger.info(\"Result URL: #{result_url}\")\n\n        {:ok,\n         %{\n           \"validations\" => ResultsAdapter.index_messages([]),\n           \"metadata\" => Map.merge(metadata, %{elapsed_seconds: elapsed_seconds, retries: retries})\n         }}\n\n      {:error, %{details: {result_url, errors}, elapsed_seconds: elapsed_seconds, retries: retries}} ->\n        notify_success()\n\n        Logger.info(\"Result URL: #{result_url}\")\n        # result_url in metadata?\n        {:ok,\n         %{\n           \"validations\" => errors |> ResultsAdapter.index_messages(),\n           \"metadata\" => Map.merge(metadata, %{elapsed_seconds: elapsed_seconds, retries: retries})\n         }}\n\n      {:error, :unexpected_validation_status} ->\n        notify_invalid_api_call()\n\n        Logger.error(\"Invalid API call to enRoute Chouette Valid\")\n\n        {:error, %{message: \"enRoute Chouette Valid: Unexpected validation status\"}}\n\n      {:error, %{message: :timeout, retries: retries}} ->\n        notify_timeout()\n\n        Logger.error(\"Timeout while fetching results on enRoute Chouette Valid\")\n\n        {:error, %{message: \"enRoute Chouette Valid: Timeout while fetching results\", retries: retries}}\n\n      {:pending, {validation_id, metadata}} ->\n        {:pending, {validation_id, metadata}}\n    end\n  end\n\n  @spec with_resource_file(DB.ResourceHistory.t(), (Path.t() -> any())) :: any()\n  def with_resource_file(resource_history, closure) do\n    %DB.ResourceHistory{payload: %{\"permanent_url\" => permanent_url}} = resource_history\n    filepath = tmp_path(resource_history)\n\n    with_tmp_file(permanent_url, filepath, closure)\n  end\n\n  @spec with_url(binary(), (Path.t() -> any())) :: any()\n  def with_url(url, closure) do\n    with_tmp_file(url, tmp_path(url), closure)\n  end\n\n  @spec with_tmp_file(binary(), Path.t(), (Path.t() -> any())) :: any()\n  def with_tmp_file(url, filepath, closure) do\n    http_client().get!(url, compressed: false, into: File.stream!(filepath))\n    closure.(filepath)\n  after\n    File.rm(filepath)\n  end\n\n  defp http_client, do: Transport.Req.impl()\n\n  defp tmp_path(%DB.ResourceHistory{id: resource_history_id}) do\n    System.tmp_dir!() |> Path.join(\"enroute_validation_netex_#{resource_history_id}\")\n  end\n\n  defp tmp_path(_other) do\n    System.tmp_dir!() |> Path.join(\"enroute_validation_netex_#{Ecto.UUID.generate()}\")\n  end\n\n  def insert_validation_results(resource_history_id, result_url, metadata, errors \\\\ []) do\n    result = ResultsAdapter.index_messages(errors)\n\n    resource_metadata =\n      %DB.ResourceMetadata{\n        metadata: metadata,\n        modes: metadata[\"modes\"] || [],\n        features: features_list(metadata[\"features\"] || %{})\n      }\n\n    %DB.MultiValidation{\n      validation_timestamp: DateTime.utc_now(),\n      validator: validator_name(),\n      result: nil,\n      binary_result: ResultsAdapter.to_binary_result(result),\n      digest: ResultsAdapter.digest(result),\n      resource_history_id: resource_history_id,\n      validator_version: validator_version(),\n      command: result_url,\n      max_error: ResultsAdapter.get_max_severity_error(result),\n      metadata: resource_metadata\n    }\n    |> DB.Repo.insert!()\n  end\n\n  defp features_list(%{} = features) do\n    Enum.sort(for {feature, true} <- features, do: feature)\n  end\n\n  defp validate_with_enroute(filepath, metadata) do\n    setup_validation(filepath) |> poll_validation_results(metadata, 0)\n  end\n\n  defp setup_validation(filepath), do: client().create_a_validation(filepath, ResultsAdapter.french_profile().slug())\n\n  def poll_validation_results(validation_id, metadata, retries) do\n    case client().get_a_validation(validation_id) do\n      :pending when too_many_attempts(retries) ->\n        {:error, %{message: :timeout, retries: retries}}\n\n      :pending ->\n        {:pending, {validation_id, metadata}}\n\n      {:successful, url, elapsed_seconds} ->\n        {:ok, %{url: url, elapsed_seconds: elapsed_seconds, retries: retries}}\n\n      {value, elapsed_seconds} when value in [:warning, :failed] ->\n        {:error, %{details: client().get_messages(validation_id), elapsed_seconds: elapsed_seconds, retries: retries}}\n\n      :unexpected_validation_status ->\n        {:error, :unexpected_validation_status}\n    end\n  end\n\n  @impl Transport.Validators.Validator\n  @doc \"\"\"\n  - true if the NeTEx is outdated.\n  - false if not.\n  - nil if we don't know.\n  \"\"\"\n  def outdated?(%DB.MultiValidation{validator: @validator_name} = multi_validation) do\n    DB.MultiValidation.outdated?(multi_validation)\n  end\n\n  def outdated?(_), do: nil\n\n  defp client do\n    Transport.EnRouteChouetteValidClient.Wrapper.impl()\n  end\n\n  defp notify_success, do: Appsignal.increment_counter(\"enroute_chouette_valid.success\", 1)\n\n  defp notify_invalid_api_call, do: Appsignal.increment_counter(\"enroute_chouette_valid.invalid_api_call\", 1)\n\n  defp notify_invalid_api_call(resource_history_id),\n    do:\n      Appsignal.increment_counter(\"enroute_chouette_valid.invalid_api_call\", 1, %{\n        resource_history_id: resource_history_id\n      })\n\n  defp notify_timeout, do: Appsignal.increment_counter(\"enroute_chouette_valid.timeout\", 1)\n\n  defp notify_timeout(resource_history_id),\n    do:\n      Appsignal.increment_counter(\"enroute_chouette_valid.timeout\", 1, %{\n        resource_history_id: resource_history_id\n      })\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/tableschema_validator.ex",
    "content": "defmodule Transport.Validators.TableSchema.Wrapper do\n  @moduledoc \"\"\"\n  This behaviour defines the API for a Table Schema Validator\n  \"\"\"\n  defp impl, do: Application.get_env(:transport, :tableschema_validator_impl)\n\n  @callback validate(binary(), binary()) :: map() | :source_error | nil\n  @callback validate(binary(), binary(), binary()) :: map() | :source_error | nil\n  def validate(schema_name, url), do: impl().validate(schema_name, url)\n  def validate(schema_name, url, schema_version), do: impl().validate(schema_name, url, schema_version)\n\n  @callback validator_api_url(binary(), binary(), binary()) :: binary()\n  def validator_api_url(schema_name, url, schema_version) do\n    impl().validator_api_url(schema_name, url, schema_version)\n  end\nend\n\ndefmodule Transport.Validators.TableSchema do\n  @moduledoc \"\"\"\n  Validate a file against a Table Schema schema using [the Validata API](https://validata.fr).\n  \"\"\"\n  alias Transport.Validators.TableSchema.Wrapper, as: TableSchemaValidator\n  import Transport.Schemas\n  @validator_version_key_name \"validata_api_version\"\n  @validator_key_name \"validator\"\n\n  @timeout 180_000\n  @max_nb_errors 100\n  @validata_web_url URI.parse(\"https://validata.fr/table-schema\")\n  @validata_api_url URI.parse(\"https://api.validata.etalab.studio/validate\")\n  # https://gitlab.com/validata-table/validata-table/-/blob/main/src/validata_core/domain/helpers.py#L57\n  @structure_tags MapSet.new([\"#structure\", \"#header\"])\n\n  @behaviour Transport.Validators.Validator\n  @behaviour Transport.Validators.TableSchema.Wrapper\n\n  @impl Transport.Validators.TableSchema.Wrapper\n  def validate(schema_name, url, schema_version \\\\ \"latest\") when is_binary(schema_name) and is_binary(url) do\n    api_url = validator_api_url(schema_name, url, schema_version)\n\n    with {:ok, %HTTPoison.Response{status_code: 200, body: body}} <-\n           http_client().get(api_url, [], recv_timeout: @timeout),\n         {:ok, json} <- Jason.decode(body) do\n      Appsignal.increment_counter(\"validata.success\", 1)\n      build_report(json)\n    else\n      _ ->\n        Appsignal.increment_counter(\"validata.failed\", 1, %{\n          schema_name: schema_name,\n          schema_version: schema_version,\n          url: url\n        })\n\n        nil\n    end\n  end\n\n  @impl Transport.Validators.TableSchema.Wrapper\n  def validator_api_url(schema_name, url, schema_version \\\\ \"latest\") when is_binary(schema_name) and is_binary(url) do\n    ensure_schema_is_tableschema!(schema_name)\n\n    schema_url = schema_url(schema_name, schema_version || \"latest\")\n\n    # See https://api.validata.etalab.studio/apidocs\n    @validata_api_url\n    |> Map.put(:query, URI.encode_query(%{schema: schema_url, url: url, header_case: \"false\"}))\n    |> URI.to_string()\n  end\n\n  def validata_web_url(schema_name) do\n    ensure_schema_is_tableschema!(schema_name)\n\n    @validata_web_url\n    |> Map.put(:query, URI.encode_query(%{schema_name: \"schema-datagouvfr.#{schema_name}\"}))\n    |> URI.to_string()\n  end\n\n  defp build_report(%{\n         \"report\" => %{\"valid\" => valid, \"stats\" => %{\"errors\" => nb_errors}, \"errors\" => errors},\n         \"version\" => validata_version\n       }) do\n    {structure_errors, row_errors} = Enum.split_with(errors, &structure_error?/1)\n\n    structure_errors = Enum.map(structure_errors, & &1[\"message\"])\n\n    row_errors =\n      Enum.map(row_errors, fn row ->\n        ~s(#{row[\"message\"]} Colonne `#{row[\"fieldName\"]}`, ligne #{row[\"rowNumber\"]}.)\n      end)\n\n    errors = (structure_errors ++ row_errors) |> Enum.take(@max_nb_errors)\n\n    %{\n      \"has_errors\" => not valid,\n      \"errors_count\" => nb_errors,\n      \"errors\" => errors,\n      \"validator\" => __MODULE__,\n      \"validata_api_version\" => validata_version\n    }\n  end\n\n  # When the remote file cannot be loaded/is a 404\n  defp build_report(%{\"error\" => %{\"type\" => \"source-error\"}}), do: :source_error\n\n  defp build_report(_), do: nil\n\n  defp structure_error?(%{\"tags\" => tags, \"type\" => type} = _row) do\n    has_structure_tags = not MapSet.disjoint?(MapSet.new(tags), @structure_tags)\n    # May not need to rely on error type in the future.\n    # https://gitlab.com/validata-table/validata-table/-/issues/154\n    eligible_error_type = type in [\"check-error\"]\n    has_structure_tags or eligible_error_type\n  end\n\n  defp ensure_schema_is_tableschema!(schema_name) do\n    unless Enum.member?(tableschema_names(), schema_name) do\n      raise \"#{schema_name} is not a tableschema\"\n    end\n  end\n\n  defp tableschema_names, do: Map.keys(schemas_by_type(\"tableschema\"))\n  defp http_client, do: Transport.Shared.Wrapper.HTTPoison.impl()\n\n  @impl Transport.Validators.Validator\n  def validate_and_save(%DB.ResourceHistory{\n        id: resource_history_id,\n        payload: %{\"permanent_url\" => url, \"schema_name\" => schema_name, \"schema_version\" => schema_version} = payload\n      })\n      when is_binary(schema_name) do\n    schema_version = schema_version || Map.get(payload, \"latest_schema_version_to_date\", \"latest\")\n    validation_result = perform_validation(schema_name, url, schema_version)\n\n    result = validation_result |> normalize_validation_result()\n\n    %DB.MultiValidation{\n      validation_timestamp: DateTime.utc_now(),\n      command: TableSchemaValidator.validator_api_url(schema_name, url, schema_version),\n      validator: validator_name(),\n      result: result,\n      digest: digest(result),\n      resource_history_id: resource_history_id,\n      validator_version: validation_result |> validator_version()\n    }\n    |> DB.Repo.insert!()\n\n    :ok\n  end\n\n  @impl Transport.Validators.Validator\n  def validator_name, do: \"validata-api\"\n\n  def perform_validation(schema_name, url, schema_version) do\n    TableSchemaValidator.validate(schema_name, url, schema_version)\n  end\n\n  def normalize_validation_result(result) when is_map(result) do\n    result\n    |> Map.reject(fn {key, _value} -> key in [@validator_version_key_name, @validator_key_name] end)\n    |> Map.put(\"validation_performed\", true)\n  end\n\n  def normalize_validation_result(nil), do: %{\"validation_performed\" => false}\n\n  def validator_version(%{@validator_version_key_name => validata_api_version}), do: validata_api_version\n  def validator_version(nil), do: nil\n\n  @doc \"\"\"\n  iex> digest(%{\"warnings_count\" => 2, \"errors_count\" => 3, \"issues\" => []})\n  %{\"errors_count\" => 3, \"warnings_count\" => 2}\n  iex> digest(%{\"issues\" => []})\n  %{}\n  \"\"\"\n  def digest(validation_result) do\n    Map.intersect(%{\"warnings_count\" => 0, \"errors_count\" => 0}, validation_result)\n  end\n\n  @impl Transport.Validators.Validator\n  def outdated?(_multi_validation), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/validator.ex",
    "content": "defmodule Transport.Validators.Validator do\n  @moduledoc \"\"\"\n  A behavior for a validator. A validator must be able to:\n  * validate\n  * tell its name\n  \"\"\"\n\n  @callback validate_and_save(any()) :: :ok | {:error, any()}\n  @callback validator_name() :: binary()\n\n  @doc \"\"\"\n  - true if the validated resource is outdated.\n  - false if not.\n  - nil if we don't know.\n  \"\"\"\n  @callback outdated?(%DB.MultiValidation{}) :: boolean | nil\nend\n\ndefmodule Transport.Validators.Dummy do\n  @moduledoc \"\"\"\n  dummy validator used for testing\n  \"\"\"\n  @behaviour Transport.Validators.Validator\n\n  @impl Transport.Validators.Validator\n  def validate_and_save(_) do\n    send(self(), :validate!)\n    :ok\n  end\n\n  @impl Transport.Validators.Validator\n  def validator_name, do: \"dummy validator\"\n\n  @impl Transport.Validators.Validator\n  def outdated?(_multi_validation), do: nil\nend\n"
  },
  {
    "path": "apps/transport/lib/validators/validator_selection.ex",
    "content": "defmodule Transport.ValidatorsSelection do\n  @moduledoc \"\"\"\n  behavior for Transport.ValidatorsSelection.Impl\n  \"\"\"\n  @callback validators(DB.ResourceHistory.t() | DB.Resource.t() | map()) :: list()\n  @callback validators_for_feature(atom()) :: [Transport.Validators.Validator.t()]\n\n  def validators(value), do: impl().validators(value)\n  def validators_for_feature(feature), do: impl().validators_for_feature(feature)\n\n  def impl, do: Application.get_env(:transport, :validator_selection)\nend\n\ndefmodule Transport.ValidatorsSelection.Impl do\n  @moduledoc \"\"\"\n  Lists which validators should run for a `DB.Resource` or `DB.ResourceHistory`\n  \"\"\"\n  @behaviour Transport.ValidatorsSelection\n  alias Transport.Schemas.Wrapper, as: Schemas\n  alias Transport.Validators\n\n  @doc \"\"\"\n  Get a list of validators to run for a `DB.ResourceHistory`, `DB.Resource`, a map of format and schema\n  \"\"\"\n  @impl Transport.ValidatorsSelection\n  @spec validators(DB.ResourceHistory.t() | DB.Resource.t() | map()) :: list()\n  def validators(%DB.ResourceHistory{payload: payload} = resource_history) do\n    if DB.ResourceHistory.gtfs_flex?(resource_history) do\n      [Transport.Validators.MobilityDataGTFSValidator]\n    else\n      validators(%{format: Map.get(payload, \"format\"), schema_name: Map.get(payload, \"schema_name\")})\n    end\n  end\n\n  def validators(%DB.Resource{format: format, schema_name: schema_name}) do\n    validators(%{format: format, schema_name: schema_name})\n  end\n\n  def validators(%{format: \"GTFS\"}), do: [Validators.GTFSTransport]\n  def validators(%{format: \"gtfs-rt\"}), do: [Validators.GTFSRT]\n  def validators(%{format: \"gbfs\"}), do: [Validators.GBFSValidator]\n\n  def validators(%{format: \"NeTEx\"}) do\n    if netex_validator_enabled?() do\n      [Validators.NeTEx.Validator]\n    else\n      []\n    end\n  end\n\n  def validators(%{schema_name: schema_name}) when not is_nil(schema_name) do\n    cond do\n      Schemas.tableschema?(schema_name) ->\n        [Transport.Validators.TableSchema]\n\n      Schemas.jsonschema?(schema_name) ->\n        [Transport.Validators.JSONSchema]\n\n      true ->\n        []\n    end\n  end\n\n  def validators(_), do: []\n\n  @impl Transport.ValidatorsSelection\n  def validators_for_feature(feature)\n      when feature in [\n             :datasets_without_gtfs_rt_related_resouces,\n             :gtfs_import_stops_job,\n             :gtfs_rt_validator\n           ],\n      do: [\n        Transport.Validators.GTFSTransport,\n        Transport.Validators.MobilityDataGTFSValidator\n      ]\n\n  def validators_for_feature(feature)\n      when feature in [\n             :api_datasets_controller,\n             :api_stats_controller,\n             :aoms_controller,\n             :backoffice_page_controller,\n             :expiration_notification\n           ],\n      do: [\n        Transport.Validators.GTFSTransport,\n        Transport.Validators.MobilityDataGTFSValidator,\n        Transport.Validators.NeTEx.Validator\n      ]\n\n  def validators_for_feature(:multi_validation_with_error_static_validators),\n    do: [\n      Transport.Validators.GTFSTransport,\n      Transport.Validators.TableSchema,\n      Transport.Validators.JSONSchema,\n      Transport.Validators.MobilityDataGTFSValidator\n    ]\n\n  def validators_for_feature(:multi_validation_with_error_realtime_validators),\n    do: [\n      Transport.Validators.GBFSValidator,\n      Transport.Validators.GTFSRT\n    ]\n\n  def validators_for_feature(:stats_compute_aom_gtfs_max_severity), do: [Transport.Validators.GTFSTransport]\n\n  def validators_for_feature(feature)\n      when feature in [:dataset_controller, :resource_controller, :espace_producteur_controller, :dataset_checks],\n      do: [\n        Transport.Validators.GTFSTransport,\n        Transport.Validators.GTFSRT,\n        Transport.Validators.TableSchema,\n        Transport.Validators.JSONSchema,\n        Transport.Validators.GBFSValidator,\n        Transport.Validators.NeTEx.Validator,\n        Transport.Validators.MobilityDataGTFSValidator\n      ]\n\n  defp netex_validator_enabled?, do: !Application.fetch_env!(:transport, :disable_netex_validator)\nend\n"
  },
  {
    "path": "apps/transport/lib/zip.ex",
    "content": "defmodule Transport.ZipMetaDataExtractor do\n  @moduledoc \"\"\"\n  A module to extract the metadata out of a ZIP file on disk. It relies on `unzip`\n  which is able to stream the content of each file, allowing us to easily compute a\n  SHA256 for each entry.\n  \"\"\"\n\n  @doc \"\"\"\n  Checks if a file stored on disk is a valid ZIP file.\n  The file should exist, otherwise an exception will be raised.\n  \"\"\"\n  @spec zip?(binary()) :: boolean()\n  def zip?(filepath) do\n    case filepath |> Unzip.LocalFile.open() |> Unzip.new() do\n      {:ok, _} -> true\n      _ -> false\n    end\n  end\n\n  def extract!(filepath) do\n    zip_file = Unzip.LocalFile.open(filepath)\n    {:ok, unzip} = Unzip.new(zip_file)\n    # NOTE: `unzip.cd_list` contains crc + filenames & more info, if needed\n    unzip\n    |> Unzip.list_entries()\n    |> Enum.map(&enrich(&1, unzip))\n    |> Enum.map(fn m -> keep_keys(m, keys()) end)\n  end\n\n  def keep_keys(map, keys) do\n    Enum.into(keys, %{}, fn key -> {key, Map.fetch!(map, key)} end)\n  end\n\n  defp keys do\n    [\n      :compressed_size,\n      :file_name,\n      :last_modified_datetime,\n      :sha256,\n      :uncompressed_size\n    ]\n  end\n\n  def enrich(entry, unzip) do\n    algorithm = :sha256\n\n    checksum =\n      unzip\n      |> Unzip.file_stream!(entry.file_name)\n      |> Hasher.compute_checksum(algorithm)\n\n    entry |> Map.put(algorithm, checksum)\n  end\nend\n"
  },
  {
    "path": "apps/transport/mix.exs",
    "content": "defmodule Transport.Mixfile do\n  use Mix.Project\n\n  def project do\n    [\n      app: :transport,\n      version: \"0.0.1\",\n      elixir: \"~> 1.10\",\n      elixirc_paths: elixirc_paths(Mix.env()),\n      build_path: \"../../_build\",\n      config_path: \"../../config/config.exs\",\n      deps_path: \"../../deps\",\n      lockfile: \"../../mix.lock\",\n      gettext: [{:write_reference_comments, false}],\n      preferred_cli_env: [\n        vcr: :test,\n        \"vcr.delete\": :test,\n        \"vcr.check\": :test,\n        \"vcr.show\": :test,\n        coveralls: :test,\n        \"coveralls.detail\": :test,\n        \"coveralls.post\": :test,\n        \"coveralls.html\": :test\n      ],\n      build_embedded: Mix.env() == :prod,\n      start_permanent: Mix.env() == :prod,\n      deps: deps(),\n      test_coverage: [tool: ExCoveralls],\n      compilers: [:phoenix_live_view] ++ Mix.compilers(),\n      listeners: [Phoenix.CodeReloader]\n    ]\n  end\n\n  def application do\n    [\n      mod: {Transport.Application, []},\n      extra_applications: [\n        :logger,\n        :unidecode,\n        :phoenix_ecto,\n        # for memsup memory tracking\n        :sasl,\n        :os_mon\n      ]\n    ]\n  end\n\n  defp elixirc_paths(:test), do: [\"lib\", \"test/support\"]\n  defp elixirc_paths(_), do: [\"lib\"]\n\n  # see https://github.com/etalab/transport-site/issues/2520\n  defp apple_silicon? do\n    :system_architecture\n    |> :erlang.system_info()\n    |> List.to_string()\n    |> String.starts_with?(\"aarch64-apple-darwin\")\n  end\n\n  defp deps do\n    [\n      {:csv, \"~> 3.0\"},\n      {:earmark, \"~> 1.4\"},\n      {:gettext, \"~> 0.11\"},\n      {:httpoison, \"~> 2.1\"},\n      {:phoenix, \"~> 1.8.3\"},\n      {:phoenix_html, \"~> 3.1\"},\n      # Compilation issue for this dependency, see https://github.com/etalab/transport-site/issues/3499\n      {:phoenix_markdown,\n       git: \"https://github.com/pzingg/phoenix_markdown.git\",\n       ref: \"b2e5ff67c9ce9160d7ef1f66d0c859dfa6284a53\"},\n      {:phoenix_live_view, \"~> 1.1.19\"},\n      {:html_sanitize_ex, \"~> 1.4\"},\n      {:floki, \">= 0.0.0\"},\n      {:plug_cowboy, \"~> 2.3\"},\n      {:recon, \"~> 2.4\"},\n      {:quantum, \"~> 3.4\"},\n      {:timex, \"~> 3.7\"},\n      {:sentry, \"~> 11.0\"},\n      {:scrivener, \"~> 2.5\"},\n      {:finch, \"~> 0.8\"},\n      {:yaml_elixir, \"~> 2.7\"},\n      {:cachex, \"~> 4.1\"},\n      {:saxy, \"~> 1.5\"},\n      # `scrivener_html` seems to be unmaintained!\n      # - Compilation issue for this dependency, see https://github.com/etalab/transport-site/issues/3499\n      # - was not updated to support Phoenix 1.7\n      {:scrivener_html,\n       git: \"https://github.com/transportdatagouvfr/scrivener_html.git\",\n       ref: \"d6ac5ac4c0c94fc871a42817817b6d5c7b5d6b0c\"},\n      {:scrivener_list, \"~>2.0\"},\n      {:jason, \"~> 1.1\"},\n      {:open_api_spex, \"~> 3.8\"},\n      {:shared, in_umbrella: true},\n      {:castore, \"~> 1.0\"},\n      {:phoenix_live_reload, \"~> 1.2\", only: :dev},\n      {:cors_plug, \"~> 3.0\"},\n      {:exvcr, \"~> 0.13\", only: :test},\n      {:credo, \"~> 1.7\", only: [:dev, :test], runtime: false},\n      {:ex_aws, \"~> 2.1\"},\n      {:ex_aws_s3, \"~> 2.0\"},\n      {:unidecode, \"~> 1.0.0\"},\n      {:phoenix_ecto, \"~> 4.0\"},\n      {:sizeable, \"~> 1.0\"},\n      {:plug_canonical_host, \"~> 2.0\"},\n      {:mox, \"~> 1.1\", only: :test},\n      {:bypass, \"~> 2.1\", only: :test},\n      # temporary fix until https://github.com/jayjun/rambo/pull/13 is merged\n      # see https://github.com/etalab/transport-site/issues/2520.\n      # Not perfect since this will impact `mix.lock`\n      if apple_silicon?() do\n        # branch is \"aarch64-apple\" but we're hardcoding the ref for security, especially since `mix.lock`\n        # must not be committed in that case.\n        # NOTE: this is not enough, and a manual `mix compile.rambo` must be issued manually in order\n        # for this to work (https://github.com/jayjun/rambo/pull/13#issuecomment-1189194040).\n        {:rambo, \"~> 0.3.4\",\n         github: \"myobie/rambo\", ref: \"e321db8e4f035f2a295ee2a5310dcb75034677ce\"}\n      else\n        {:rambo, \"~> 0.3.4\"}\n      end,\n      {:etag_plug, \"~> 1.0\"},\n      {:oban, \"~> 2.13\"},\n      {:unzip, \"~> 0.8\"},\n      {:protobuf, \"~> 0.11\"},\n      {:nimble_csv, \"~> 1.3.0\"},\n      {:explorer, \"~> 0.11.0\"},\n      {:kino, \"~> 0.6\", only: :dev},\n      # db\n      {:ecto, \"~> 3.12\"},\n      {:ecto_sql, \"~> 3.12\"},\n      {:postgrex, \"~> 0.21.0\"},\n      {:geo_postgis, \"~> 3.4\"},\n      {:scrivener_ecto, \"~> 3.1.0\"},\n      {:typed_ecto_schema, \">= 0.1.1\"},\n      {:ymlr, \"~> 5.0\"},\n      {:ex_machina, \"~> 2.4\", only: :test},\n      {:cloak_ecto, \"~> 1.2.0\"},\n      {:phoenix_live_dashboard, \"~> 0.8\"},\n      {:ecto_psql_extras, \"~> 0.6\"},\n      {:telemetry_poller, \"~> 1.0\"},\n      {:telemetry_metrics, \"~> 1.0\"},\n      {:luhn, \"~> 0.3.0\"},\n      {:ex_phone_number, \"~> 0.3\"},\n      {:appsignal, \"~> 2.0\"},\n      {:appsignal_phoenix, \"~> 2.8.1\"},\n      {:vega_lite, \"~> 0.1.7\"},\n      {:req, \"~> 0.5\"},\n      {:dialyxir, \"~> 1.2\", only: [:dev, :test], runtime: false},\n      {:excoveralls, \"~> 0.10\", only: :test},\n      {:swoosh, \"~> 1.18\"},\n      {:phoenix_swoosh, \"~> 1.0\"},\n      {:hackney, \"~> 1.9\"},\n      {:phoenix_ddos, \"~> 1.1\"},\n      # Highly recommended, this will makes sure we get the correct remote_ip\n      {:remote_ip, \"~> 1.1\"},\n      {:image, \"~> 0.52\"},\n      {:nx, \"~> 0.7\"},\n      {:timescale, \"~> 0.1.0\"},\n      {:mock, \"~> 0.3.6\", only: :test},\n      {:vex, \"~> 0.9\"},\n      {:oauth2, \"~> 2.1\"},\n      {:logger_backends, \"~> 1.0\"},\n      {:lazy_html, \">= 0.1.0\", only: :test}\n    ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/facilitators.csv",
    "content": "image;name;website\ndatagouv-logo.png;data.gouv.fr;https://data.gouv.fr/\ncerema-logo.png;Cerema;https://www.cerema.fr/\nbntra-logo.png;BNTRA;https://www.cerema.fr/fr/cerema/directions/infrastructures-transport-materiaux/bureau-normalisation-transports-routes-leurs-amenagements\nmobilitydata-logo.png;MobilityData;https://mobilitydata.org/\navere-france-logo.png;L’Avere-France;https://www.avere-france.org/\nreseau-velo-et-marche-logo.png;Réseau vélo et marche;https://www.reseau-velo-marche.org/\n"
  },
  {
    "path": "apps/transport/priv/gbfs_operators.csv",
    "content": "url;operator\nexample.com;Example\napi.cyclocity.fr;JC Decaux\napi.saint-etienne-metropole.fr;Fifteen\nbackend.citiz.fr;Citiz\nbdx.mecatran.com;Cykleo\nbird.co;Bird\nclermontferrand.publicbikesystem.net;Citybike\ndata.grandlyon.com/files/rdata/lpa_mobilite.donnees;Citiz\ndata.metropolegrenoble.fr/sites/default/files/dataset/2023/08/10/75c1054c-e602-445c-9852-0fc7abddf592/velos_gbfs.json;Dott\ndata.mobilites-m.fr/api/gbfs/dott_grenoble;Dott\ndata.optymo.fr;SMTC 90\ndonkey.bike;Donkey Republic\ndownload.data.grandlyon.com;JC Decaux\necovelo.mobi;Ecovélo\neu.ftp.opendatasoft.com/star;Cykleo\nfifteen.eu;Fifteen\nfifteen.site;Fifteen\ngbfs.api.ridedott.com;Dott\ngetapony.com;Pony\nlime.bike;Lime\nmedia.ilevia.fr/opendata;Cykleo\nnextbike.net;nextbike\nsmovengo.cloud;Smovengo\nstce.transdev-hdf.fr;Transdev\nurbansharing.com/lovelolibreservice.fr;Citybike\nvalence.publicbikesystem.net;Fifteen\nvoiapp.io;Voi\nzoov.eu;Fifteen\nzoov.io;Fifteen\nzoov.site;Fifteen\n_ecovelo/gbfs;Ecovélo\ngbfs.clem.mobi;Clem\ngrandestprod.data4citizen.com;Fifteen\nfr.getaround.com/gbfs;Getaround\nwww.mobility-parc.net/gbfs;Green On\ndata.mulhouse-alsace.fr;nextbike\nproxy.transport.data.gouv.fr/resource/pony-;Pony\n"
  },
  {
    "path": "apps/transport/priv/gettext/administrative_division.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"EPCI\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"country\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"department\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"municipality\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"region\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/alert.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"You need to be connected before doing this.\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"An error occured, please try again\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"You need to be a member of the transport.data.gouv.fr team.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to get all your resources for the moment\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to get this dataset for the moment\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/autocomplete.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"commune\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"departement\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"epci\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"feature\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"mode\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"offer\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"region\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"search-description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"results-description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/backoffice.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Add\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Add a dataset\"\nmsgstr \"\"\n\nmsgid \"INSEE Code\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Valid datasets available\"\nmsgstr \"\"\n\nmsgid \"data.gouv.fr id\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"name\"\nmsgstr \"\"\n\nmsgid \"Dataset added with success\"\nmsgstr \"\"\n\nmsgid \"Dataset not added\"\nmsgstr \"\"\n\nmsgid \"Dataset imported with success\"\nmsgstr \"\"\n\nmsgid \"Dataset not imported\"\nmsgstr \"\"\n\nmsgid \"Could not add dataset\"\nmsgstr \"\"\n\nmsgid \"Add a partner\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset's url\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to find dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Import all datasets from data.gouv\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Outdated\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Show all datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Save\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit a dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS with fatal failure\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cancel\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other actions on the dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Imports history\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"date / time\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"error message\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"success\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Rapport de complétude des imports\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With a resource not available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With licence unspecified\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With more than 1 GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Show only datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Proxy configuration\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Jobs\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With a resource under 90% availability\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See dataset on website\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset is not historicized on purpose.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Transport validator - Force validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Archived\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Changements d'URLs stables\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cache debug\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Deleted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS data import\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Phoenix LiveDashboard\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Datetime\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Emails\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notification reason\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications sent\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications sent in the last %{nb_days} days.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publisher type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"published by\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There is %{n} resource in this dataset\"\nmsgid_plural \"There are %{n} resources in this dataset\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Last historization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource historization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Legal owners\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"or\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Company SIREN code\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"AOM open data status\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Rate limiter\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE dashboard\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Hidden\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Hidden datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Role\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There are no notification subscriptions for this contact.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Existing subscriptions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"reuser-subscription-count\"\nmsgid_plural \"reuser-subscriptions-count\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"reuser-count\"\nmsgid_plural \"reusers-count\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"spatial areas label\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Offers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Spatial area\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Email preview\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Jobs Observation Center\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"count\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"worker\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Last update:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"args\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"queue\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"state\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"inserted_at\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"scheduled_at\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"time range\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"listing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"total: %{n_jobs} job\"\nmsgid_plural \"total: %{n_jobs} jobs\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Today\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tomorrow\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Yesterday\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{date} between %{from} and %{to}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"truncated (%{hidden} jobs hidden)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Arguments\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Job #%{job_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Properties\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/backoffice_dataset.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset unlisted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset imported with success\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset not imported\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not add dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not unlist dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset added with success\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Import and validation of all datasets have been launch\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not edit dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset edited with success\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validated\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validating\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Check the dataset page\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Transport Validator has been force launched on all GTFS resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Send welcome email to contacts\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sending\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sent\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/climate-resilience-bill.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/community_resource.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"by\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/contact.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Find contacts\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/datagouv-dataset.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A description is needed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A title is needed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"An organization is needed\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/dataset.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\nmsgid \"Annual\"\nmsgstr \"\"\n\nmsgid \"Bimonthly\"\nmsgstr \"\"\n\nmsgid \"Description of the dataset\"\nmsgstr \"\"\n\nmsgid \"Monthly\"\nmsgstr \"\"\n\nmsgid \"Semi annual\"\nmsgstr \"\"\n\nmsgid \"Semi weekly\"\nmsgstr \"\"\n\nmsgid \"Title of the dataset\"\nmsgstr \"\"\n\nmsgid \"Unknown\"\nmsgstr \"\"\n\nmsgid \"Update frequency of the dataset\"\nmsgstr \"\"\n\nmsgid \"Weekly\"\nmsgstr \"\"\n\nmsgid \"Dataset file\"\nmsgstr \"\"\n\nmsgid \"A dataset file is needed\"\nmsgstr \"\"\n\nmsgid \"Invalid dataset identifier\"\nmsgstr \"\"\n\nmsgid \"Your modified version of this dataset has beed added\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fr-lo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"notspecified\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"odc-odbl\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"other-open\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The resource is not available (maybe temporarily)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"lov2\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Mobility Licence\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"licence-ouverte\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/db-dataset-score.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"availability\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"compliance\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"freshness\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/db-dataset.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling areas\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other informations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Charging & refuelling stations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Public transit\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Road data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Organization type is invalid\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling lines\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling offers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Bike data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Pedestrian path\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Vehicles sharing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Urban\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Intercity\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"School\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Seasonal\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Zonal DRT\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Bicycle\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Scooter\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carsharing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Moped\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Freefloating\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/db-resource-related.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Associated GTFS file\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Manual association\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/default.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Sign In\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Sign Out\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Contact\"\nmsgstr \"\"\n\nmsgid \"Publish, improve and reuse French public transport data\"\nmsgstr \"\"\n\nmsgid \"Close\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Email address\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Send email\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"There has been an error, try again later\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Your email has been sent, we will contact you soon\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"transport.data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Legal Information\"\nmsgstr \"\"\n\nmsgid \"Publish a dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Documentation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Blog\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Source code\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Service status\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"My account\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tools\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Accessibility: non-compliant\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Check the quality of a file or a feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regulation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Standards\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declaration of conformity\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data exploration map\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI query generator\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Budget\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"About\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our missions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"National GTFS stops map\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare two GTFS files\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Accèslibre Mobilités\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data I can't find\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data producer\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data reuser\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Did you read our <a href=\\\"%{url}\\\" target=\\\"_blank\\\">online documentation</a>? Your answer is likely there.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"I am\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Legal requirements\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"My question is about\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Question\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Subject\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Technical support\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The website transport.data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer information\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser information\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} notification count\"\nmsgid_plural \"%{count} notifications count\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New features\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Choose an option\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fullscreen display\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Leave fullscreen display\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/download-link.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/administrative_division.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"EPCI\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"country\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"department\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"municipality\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"region\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/alert.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\n#, elixir-autogen\nmsgid \"You need to be connected before doing this.\"\nmsgstr \"Vous devez être connecté avant de poursuivre.\"\n\n#, elixir-autogen\nmsgid \"An error occured, please try again\"\nmsgstr \"Il y a eu une erreur, veuillez ré-essayer\"\n\n#, elixir-autogen\nmsgid \"You need to be a member of the transport.data.gouv.fr team.\"\nmsgstr \"Vous devez être membre de l’équipe transport.data.gouv.fr.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to get all your resources for the moment\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to get this dataset for the moment\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/autocomplete.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"commune\"\nmsgstr \"city\"\n\n#, elixir-autogen, elixir-format\nmsgid \"departement\"\nmsgstr \"department\"\n\n#, elixir-autogen, elixir-format\nmsgid \"epci\"\nmsgstr \"EPCI\"\n\n#, elixir-autogen, elixir-format\nmsgid \"feature\"\nmsgstr \"feature\"\n\n#, elixir-autogen, elixir-format\nmsgid \"mode\"\nmsgstr \"mode\"\n\n#, elixir-autogen, elixir-format\nmsgid \"offer\"\nmsgstr \"transport offer\"\n\n#, elixir-autogen, elixir-format\nmsgid \"region\"\nmsgstr \"region\"\n\n#, elixir-autogen, elixir-format\nmsgid \"search-description\"\nmsgstr \"Search $query in dataset descriptions\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"results-description\"\nmsgstr \"Or search by:\"\n\n#, elixir-autogen, elixir-format\nmsgid \"format\"\nmsgstr \"data format\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/backoffice.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\n#, elixir-autogen\nmsgid \"Add\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Add a dataset\"\nmsgstr \"\"\n\nmsgid \"INSEE Code\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Valid datasets available\"\nmsgstr \"\"\n\nmsgid \"data.gouv.fr id\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"name\"\nmsgstr \"\"\n\nmsgid \"Dataset added with success\"\nmsgstr \"\"\n\nmsgid \"Dataset not added\"\nmsgstr \"\"\n\nmsgid \"Dataset imported with success\"\nmsgstr \"\"\n\nmsgid \"Dataset not imported\"\nmsgstr \"\"\n\nmsgid \"Could not add dataset\"\nmsgstr \"\"\n\nmsgid \"Add a partner\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset's url\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to find dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Import all datasets from data.gouv\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Outdated\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Show all datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Save\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit a dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS with fatal failure\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cancel\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other actions on the dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Imports history\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"date / time\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"error message\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"success\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Rapport de complétude des imports\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With a resource not available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With licence unspecified\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With more than 1 GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Show only datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Proxy configuration\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Jobs\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"With a resource under 90% availability\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See dataset on website\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset is not historicized on purpose.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Transport validator - Force validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Archived\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Changements d'URLs stables\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cache debug\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Deleted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS data import\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Phoenix LiveDashboard\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Datetime\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Emails\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notification reason\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications sent\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications sent in the last %{nb_days} days.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publisher type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"published by\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There is %{n} resource in this dataset\"\nmsgid_plural \"There are %{n} resources in this dataset\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Last historization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource historization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Legal owners\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"or\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Company SIREN code\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"AOM open data status\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Rate limiter\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE dashboard\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Hidden\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Hidden datasets\"\nmsgstr \"Hidden\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Role\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There are no notification subscriptions for this contact.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Existing subscriptions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"reuser-subscription-count\"\nmsgid_plural \"reuser-subscriptions-count\"\nmsgstr[0] \"Along with %{reuser_subscriptions_count} subscription from\"\nmsgstr[1] \"Along with %{reuser_subscriptions_count} subscriptions from\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"reuser-count\"\nmsgid_plural \"reusers-count\"\nmsgstr[0] \"%{reusers_count} reuser.\"\nmsgstr[1] \"%{reusers_count} reusers.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"spatial areas label\"\nmsgstr \"Choose one or many municipalities, EPCIs, departments, regions or country. This is not displayed to users (website, API) for now.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Offers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Spatial area\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Email preview\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Jobs Observation Center\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"count\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"worker\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Last update:\"\nmsgstr \"Dernière mise à jour :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"args\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"queue\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"state\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"inserted_at\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"scheduled_at\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"time range\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"listing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"total: %{n_jobs} job\"\nmsgid_plural \"total: %{n_jobs} jobs\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Today\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tomorrow\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Yesterday\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{date} between %{from} and %{to}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"truncated (%{hidden} jobs hidden)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Arguments\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Job #%{job_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Properties\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/backoffice_dataset.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset unlisted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset imported with success\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset not imported\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not add dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not unlist dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset added with success\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Import and validation of all datasets have been launch\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not edit dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset edited with success\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validated\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validating\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Check the dataset page\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Transport Validator has been force launched on all GTFS resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Send welcome email to contacts\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sending\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sent\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/climate-resilience-bill.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/community_resource.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"by\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/contact.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Find contacts\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/datagouv-dataset.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A description is needed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A title is needed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"An organization is needed\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/dataset.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\nmsgid \"Annual\"\nmsgstr \"\"\n\nmsgid \"Bimonthly\"\nmsgstr \"\"\n\nmsgid \"Description of the dataset\"\nmsgstr \"\"\n\nmsgid \"Monthly\"\nmsgstr \"\"\n\nmsgid \"Semi annual\"\nmsgstr \"\"\n\nmsgid \"Semi weekly\"\nmsgstr \"\"\n\nmsgid \"Title of the dataset\"\nmsgstr \"\"\n\nmsgid \"Unknown\"\nmsgstr \"\"\n\nmsgid \"Update frequency of the dataset\"\nmsgstr \"\"\n\nmsgid \"Weekly\"\nmsgstr \"\"\n\nmsgid \"Dataset file\"\nmsgstr \"\"\n\nmsgid \"A dataset file is needed\"\nmsgstr \"\"\n\nmsgid \"Invalid dataset identifier\"\nmsgstr \"\"\n\nmsgid \"Your modified version of this dataset has beed added\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fr-lo\"\nmsgstr \"Licence Ouverte — version 1.0\"\n\n#, elixir-autogen, elixir-format\nmsgid \"notspecified\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"odc-odbl\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"other-open\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The resource is not available (maybe temporarily)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"lov2\"\nmsgstr \"Licence Ouverte — version 2.0\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Mobility Licence\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"licence-ouverte\"\nmsgstr \"Licence Ouverte\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/db-dataset-score.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"availability\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"compliance\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"freshness\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/db-dataset.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling areas\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other informations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Charging & refuelling stations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Public transit\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Road data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Organization type is invalid\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling lines\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling offers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Bike data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Pedestrian path\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Vehicles sharing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Urban\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Intercity\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"School\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Seasonal\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Zonal DRT\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Bicycle\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Scooter\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carsharing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Moped\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Freefloating\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/db-resource-related.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Associated GTFS file\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Manual association\"\nmsgstr \"Manual association\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/default.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\n#, elixir-autogen\nmsgid \"Sign In\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Sign Out\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Contact\"\nmsgstr \"\"\n\nmsgid \"Publish, improve and reuse French public transport data\"\nmsgstr \"\"\n\nmsgid \"Close\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Email address\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Send email\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"There has been an error, try again later\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Your email has been sent, we will contact you soon\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"transport.data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Legal Information\"\nmsgstr \"\"\n\nmsgid \"Publish a dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Documentation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Blog\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Source code\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Service status\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"My account\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tools\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Accessibility: non-compliant\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Check the quality of a file or a feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regulation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Standards\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declaration of conformity\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data exploration map\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI query generator\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Budget\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"About\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our missions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"National GTFS stops map\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare two GTFS files\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Accèslibre Mobilités\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data I can't find\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data producer\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data reuser\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Did you read our <a href=\\\"%{url}\\\" target=\\\"_blank\\\">online documentation</a>? Your answer is likely there.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"I am\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Legal requirements\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"My question is about\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Question\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Subject\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Technical support\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The website transport.data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Producer information\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Reuser information\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} notification count\"\nmsgid_plural \"%{count} notifications count\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New features\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Choose an option\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fullscreen display\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Leave fullscreen display\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/download-link.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/errors.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\n#, elixir-autogen\nmsgid \"End of the road!\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Try to refresh the page in a few seconds, or contact us.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"404: Page not available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Impossible to find a city with the insee code %{insee}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Region %{insee} does not exist\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"400: Bad Request\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"401: Unauthorized\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feature temporarily disabled\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"503: Service Unavailable\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Department %{insee} does not exist\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"EPCI %{insee} does not exist\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/espace-producteurs.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Adding a dataset guidelines\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Before we can reference your mobility data on the National Access Point, you need to upload it on data.gouv.fr by publishing a new dataset.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish a dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish a new dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publishing best practices\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Update a resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Useful tools and content\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate your datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport proxy statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive helpful notifications about the data you publish.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Notifications settings\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate a file or a feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Before publishing, you can test your data online and check its validity.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get access to traffic statistics for your feeds handled by the transport.data.gouv.fr proxy.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your proxy statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Delete a resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Update your logo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your current logo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your custom logo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your logo has been received. It will be replaced soon.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Remove the custom logo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Your custom logo has been removed.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"notifications are good for you\"\nmsgstr \"Notifications help you maintain the quality and availability of your data, by warning you automatically if a problem arises. They ensure that the end users of your data keep a continous access to them through their daily apps (route calculation…)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage my notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data expiration notification explanation\"\nmsgstr \"You are warned before and after the last date covered by your data.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unavailable resources notification explanation\"\nmsgstr \"You are warned if your file couldn't be downloaded during 6 consecutive hours.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"validation errors notification explanation\"\nmsgstr \"You are warned if the file doesn't respect the standard, rendering the file unusable.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Nobody else is subscribed to this notification\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"other subscribed contacts\"\nmsgstr \"Other subscribed contacts: %{names}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Off\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"On\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Add a resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you want to publish an update to your data, please update an existing resource in the following list rather than publish a new one.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"full-edition-on-data-gouv-fr\"\nmsgstr \"You can easily edit on this page some elements of your dataset. For an advanced edition, please go on data.gouv.fr.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our team maintains a comprehensive documentation\"\nmsgstr \"Our team maintains <a href=\\\"%{link}\\\", target=\\\"_blank\\\">a comprehensive documentation</a> detailing how to publish and keep up to date your data\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage your resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Add the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create it directly on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Current file: %{current_file}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Do you want to update the resource or delete it definitely?\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit directly on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Example: Paris GTFS dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Give a link for the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"I'm not sure. Learn more.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 1: Directly add the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 1: Directly update the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 2: for more options, create the resource on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 2: for more options, edit the resource on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Update the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload a file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"or\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"title\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Actions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download reuser GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"In order to help you improve the quality of your data, we have set up this space for sharing the modifications and improvements made by certain reusers.<br><br>You will thus be able to benefit from the work of reusers and better identify the differences, correct the errors and complete the missing information.<br><br>Below are the organizations that have played the game and shared their improved data as well as access to the difference report generated by our tool %{url}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Logo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Organisation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser improved data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare with my GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Datasets of your organisation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Downloads for %{year}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get access to download statistics for your resources.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your download statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download proxy statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Download download statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File: <strong>%{name}</strong>\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See the validation report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start again\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"expiring_resource\"\nmsgstr \"Expiring resource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"invalid_resource\"\nmsgstr \"Invalid resource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unavailable_resource\"\nmsgstr \"Unavailable resource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See the discussion\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unanswered_discussions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discussion\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Link\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Unanswered discussions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You have no unanswered discussions.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"You will find below download statistics for your resources. Statistics can be downloaded at the bottom of the page.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"See unanswered discussions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See unanswered discussions on your datasets.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find here discussions that have not been closed and where the last person to reply is not a member of your organisation.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start the validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Drop your file here or click to browse your local drive\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Expired resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"recent_discussions\"\nmsgstr \"Recent discussion\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discover new features\"\nmsgstr \"Discover new features\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New features available\"\nmsgstr \"New features available\"\n\n#, elixir-autogen, elixir-format\nmsgid \"recent_features\"\nmsgstr \"New features\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find below proxy statistics for your resources. You can download detailed statistics in CSV format using the button above.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Proxy requests\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Requests served by the proxy\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Requests served by upstream\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upstream requests\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"View detailed statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"over the last %{nb} days\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Important information regarding your resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Information\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The following information require your attention.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Available services\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/explore.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data exploration map\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"gtfs-rt-explanation\"\nmsgstr \"Aggregates all the %{link} and displays their vehicle positions (trains, buses, trams and more). The data is updated in real-time, the refresh rate varies by feed.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS-RT feeds referenced on this site\"\nmsgstr \"GTFS-RT feeds referenced on this site\"\n\n#, elixir-autogen, elixir-format\nmsgid \"bnlc-explanation\"\nmsgstr \"Latest data from the National Carpooling areas %{link}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling areas national database\"\nmsgstr \"Carpooling areas national database\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real time vehicle positions (GTFS-RT)\"\nmsgstr \"Real time vehicle positions (GTFS-RT)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgstr \"dataset\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Execute\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Generate\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"HTTP headers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI query\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI query generator\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI response\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Endpoint URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Requestor ref\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"HTTP request body\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"HTTP response body\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line References (comma separated list)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop Reference (only one)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Low emission zones database\"\nmsgstr \"Low emission zones (ZFE)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"lez-explanation\"\nmsgstr \"Latest data from the Low Emission Zones %{link}. Traffic restrictions details are included in the database.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Consolidated GTFS stops map\"\nmsgstr \"Consolidated GTFS stops map (beta)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Consolidated GTFS stops map explanation\"\nmsgstr \"This map consolidates all the GTFS referenced on this site. It is in beta and may include outdated or duplicate data (see %{github_issue_link}). The list of stops can be downloaded on <a href=\\\"%{gtfs_stops_dataset_path}\\\">this dataset page</a>. There is also an <a href=\\\"%{swagger_doc_path}\\\">experimental API</a> allowing to search amongst stops.<br> Feedback is most welcome.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"irve-explanation\"\nmsgstr \"Consolidated national map of charging stations static %{link}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE map\"\nmsgstr \"Electric Vehicule Charging Infrastructure database\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GBFS stations\"\nmsgstr \"Stations for shared vehicles (VLS)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"gbfs-stations-explanation\"\nmsgstr \"This map consolidates all stations <a href=\\\"%{vehicles_sharing_datasets_link}\\\">for shared vehicles</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Search a city\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/feedback.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Send the feedback\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Why?\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your email (optional)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"What's your feedback on this page?\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Leave your feedback\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Thanks for your feedback!\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/gbfs_analyzer.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Detailed validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Detected version\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed Name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feeds\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GeoJSONs\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Languages\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Metadata\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Number of detected errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Timezone\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validated version\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"error message\"\nmsgstr \"The feed could not be analyzed.</br> The feed may be unavailable, or the provided URL may be wrong.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Link\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"validation was not performed\"\nmsgstr \"Validation was not performed. There may be a fatal error with your feed or the GBFS validator is not available.\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/gtfs-diff.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Job started\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Computing diff for <code>%{file_name}</code>\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Drop your GTFS files here or click to browse your local drive\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Diff is a <a href=\\\"%{link}\\\">specification</a>\\n      created by transport.data.gouv.fr and aims at providing a simple and unified way to express differences between GTFS files\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Diff is available for\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS comparison with GTFS Diff\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"<a href=\\\"%{spec}\\\">Read</a> the GTFS Diff specification to understand how differences between GTFS are expressed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"added\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"deleted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"download\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"updated\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Analyzing found differences…\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} column\"\nmsgid_plural \"%{count} columns\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} file\"\nmsgid_plural \"%{count} files\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} row\"\nmsgid_plural \"%{count} rows\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Switch files\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"An error occurred while interpreting the results. Note that the report is still available as download. Error:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start over\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"The GTFS file <code>%{gtfs_original_file_name_2}</code> has differences with the GTFS file <code>%{gtfs_original_file_name_1}</code>, as summarized below:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"The GTFS files <code>%{gtfs_original_file_name_2}</code> and <code>%{gtfs_original_file_name_1}</code> are similar.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The <a href=\\\"%{gtfs_url_2}\\\">modified GTFS file</a> has differences with the <a href=\\\"%{gtfs_url_1}\\\">reference GTFS file</a>, as summarized below:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The <a href=\\\"%{gtfs_url_2}\\\">modified GTFS file</a> and the <a href=\\\"%{gtfs_url_1}\\\">reference GTFS file</a> are similar.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Modified GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reference GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cancel upload or remove file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Valid file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Please upload some file above\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Analysis\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Setup\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Results\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Processing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File is too large, must be <%{max_file_size_mb}MB.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You have selected an unacceptable file type.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You must select 2 files.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Job aborted, the diff is taking too long (> %{minutes} min).\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Clear uploaded files\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discarded files:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"not enough memory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Row changes have not been analyzed for this file. We suggest you dive into both GTFS files for more details.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Added %{count} column:\"\nmsgid_plural \"Added %{count} columns:\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Deleted %{count} column:\"\nmsgid_plural \"Deleted %{count} columns:\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notable changes:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Row changes:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file added with %{count} new column:\"\nmsgid_plural \"file added with %{count} new columns:\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file deleted along with %{count} column:\"\nmsgid_plural \"file deleted along with %{count} columns:\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"non standard column\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other change: %{unknown}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Weelchair boarding\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Stops' names\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Stops' positions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Comment\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Modified\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Original\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No row changes.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file added\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file deleted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route color\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Route text color\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route long name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route short name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Location type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Agency URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip headsign\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"no color\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"no value\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop %{stop_id} has been moved by %{distance}m\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Wheelchair_boarding updated for stop %{stop_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Stop %{stop_id} has been renamed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Color has been updated for route %{route_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Text color has been updated for route %{route_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route long name has been updated for route %{route_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Route short name has been updated for route %{route_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Route type has been updated for route %{route_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Location type for stop %{stop_id} has been changed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Agency URL for agency %{agency_id} has been changed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Headsign for trip %{trip_id} has been changed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare the value of \"\nmsgid_plural \"Compare the values of \"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Computes the distance between locations. Results are sorted by distance. Moves shorter than 1 m are filtered out.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Full name of a route. This name is generally more descriptive than the `route_short_name` and often includes the route's destination or stop.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Indicates the type of transportation used on a route.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Indicates whether wheelchair boardings are possible from the location.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Legible color to use for text drawn against a background of `route_color`. Defaults to black (000000) when omitted or left empty.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Name of the location. The `stop_name` should match the agency's rider-facing name for the location as printed on a timetable, published online, or represented on signage. For translations into other languages, use `translations.txt`.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route color designation that matches public facing material. Defaults to white (FFFFFF) when omitted or left empty. The color difference between `route_color` and `route_text_color` should provide sufficient contrast when viewed on a black and white screen.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Short name of a route. Often a short, abstract identifier (e.g., \\\"32\\\", \\\"100X\\\", \\\"Green\\\") that riders use to identify a route.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Text that appears on signage identifying the trip's destination to riders. This field is recommended for all services with headsign text displayed on the vehicle which may be used to distinguish amongst trips in a route.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"URL of the transit agency.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Agency fare URL for agency %{agency_id} has been changed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Agency phone for agency %{agency_id} has been changed\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/gtfs-file-descriptions.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"agency.txt\"\nmsgstr \"Transit agencies with service represented in this dataset.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"areas.txt\"\nmsgstr \"Area grouping of locations.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"attributions.txt\"\nmsgstr \"Dataset attributions.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"booking_rules.txt\"\nmsgstr \"Booking information for rider-requested services.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"calendar.txt\"\nmsgstr \"Service dates specified using a weekly schedule with start and end dates.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"calendar_dates.txt\"\nmsgstr \"Exceptions for the services defined in the calendar.txt.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_attributes.txt\"\nmsgstr \"Fare information for a transit agency's routes.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_leg_join_rules.txt\"\nmsgstr \"Rules for defining two or more legs should be considered as a single effective fare leg for the purposes of matching against rules in fare_leg_rules.txt\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_leg_rules.txt\"\nmsgstr \"Fare rules for individual legs of travel.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_media.txt\"\nmsgstr \"To describe the fare media that can be employed to use fare products.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_products.txt\"\nmsgstr \"To describe the different types of tickets or fares that can be purchased by riders.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_rules.txt\"\nmsgstr \"Rules to apply fares for itineraries.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_transfer_rules.txt\"\nmsgstr \"Fare rules for transfers between legs of travel.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"feed_info.txt\"\nmsgstr \"Dataset metadata, including publisher, version, and expiration information.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"frequencies.txt\"\nmsgstr \"Headway (time between trips) for headway-based service or a compressed representation of fixed-schedule service.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"levels.txt\"\nmsgstr \"Levels within stations.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"location_group_stops.txt\"\nmsgstr \"Rules to assign stops to location groups.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"location_groups.txt\"\nmsgstr \"A group of stops that together indicate locations where a rider may request pickup or drop off.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"networks.txt\"\nmsgstr \"Network grouping of routes.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"pathways.txt\"\nmsgstr \"Pathways linking together locations within stations.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"rider_categories.txt\"\nmsgstr \"Defines categories of riders (e.g. elderly, student).\"\n\n#, elixir-autogen, elixir-format\nmsgid \"route_networks.txt\"\nmsgstr \"Rules to assign routes to networks.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"routes.txt\"\nmsgstr \"Transit routes. A route is a group of trips that are displayed to riders as a single service.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"shapes.txt\"\nmsgstr \"Rules for mapping vehicle travel paths, sometimes referred to as route alignments.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stop_areas.txt\"\nmsgstr \"Rules to assign stops to areas.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stop_times.txt\"\nmsgstr \"Times that a vehicle arrives at and departs from stops for each trip.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stops.txt\"\nmsgstr \"Stops where vehicles pick up or drop off riders. Also defines stations and station entrances.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"timeframes.txt\"\nmsgstr \"Date and time periods to use in fare rules for fares that depend on date and time factors.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transfers.txt\"\nmsgstr \"Rules for making connections at transfer points between routes.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"translations.txt\"\nmsgstr \"Translations of customer-facing dataset values.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"trips.txt\"\nmsgstr \"Trips for each route. A trip is a sequence of two or more stops that occur during a specific time period.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unknown-file\"\nmsgstr \"Unknown file %{unknonw_file}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unknown\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"aerial lift, suspended cable car\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"bus\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"cable tram\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ferry\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"funicular\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"monorail\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"rail\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"subway, metro\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"tram, streetcar, light rail\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"trolleybus\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"boarding area\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"entrance/exit\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"generic node\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"station\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stop or platform\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Know more about this file.\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/gtfs-transport-validator.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Duplicate stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Duplicate object id\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Excessive speed between two stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Extra file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid archive\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid coordinates\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid currency\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid language\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid reference\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid route type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid timezone\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid transfer duration\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid transfers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid url\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing coordinates\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing id\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing language\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing mandatory file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing price\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing route name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing url\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Negative travel time between two stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Null duration between two stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Slow\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unused stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Not compliant with the GTFS specification\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Impossible to interpolate stop times\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ID is not ASCII-encoded\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid stop location type in trip\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Invalid stop parent\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid shape ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unused shape ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Duplicate stop sequence\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Files in a subfolder\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Negative stop duration\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unusable trip\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Error\"\nmsgid_plural \"Errors\"\nmsgstr[0] \"%{value} error\"\nmsgstr[1] \"%{value} errors\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Fatal failure\"\nmsgid_plural \"Fatal failures\"\nmsgstr[0] \"%{value} fatal failure\"\nmsgstr[1] \"%{value} fatal failures\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Information\"\nmsgid_plural \"Informations\"\nmsgstr[0] \"%{value} information\"\nmsgstr[1] \"%{value} informations\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Warning\"\nmsgid_plural \"Warnings\"\nmsgstr[0] \"%{value} warning\"\nmsgstr[1] \"%{value} warnings\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Calendar files are empty. The service is never running.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Field agency_id should not be empty.\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/helper.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \":\"\nmsgstr \": \"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/landing-vls.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access free self-service vehicle data in France\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A complex ecosystem\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"description\"\nmsgstr \"Shared mobility promotes sustainable, economical and intermodal mobility. In addition to the public transport offering, find data on self-service bicycles, e-scooters, motor scooters, and cars.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A multiplicity of actors in France\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Different data exchange formats\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Many types of services\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Easily explore and reuse data from AOMs and their service providers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A personalized space to stay informed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access the data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access your reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Coverage of services available by territory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"National coverage\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real-time data in GBFS format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you have any questions, the transport.data.gouv.fr team is available to help you reuse this data.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Autorités Organisatrices de la Mobilité: Mobility Organizing Authorities\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"GBFS resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Self-service vehicles\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Directly access the data\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/netex-documentation.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The element `%{name}` is required.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Section [%{title}](%{url}):\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Sub-profile “%{title}”\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/netex-validator.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Composite frame ligne mandatory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame arret resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame calendrier resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame horaire resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame ligne resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame reseau resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Latitude mandatory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Longitude mandatory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"UIC operating period\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Valid day bits\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Version any\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unspecified error\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"XSD validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"error\"\nmsgid_plural \"errors\"\nmsgstr[0] \"%{value} error\"\nmsgstr[1] \"%{value} errors\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"information\"\nmsgid_plural \"informations\"\nmsgstr[0] \"%{value} information\"\nmsgstr[1] \"%{value} informations\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"warning\"\nmsgid_plural \"warnings\"\nmsgstr[0] \"%{value} warning\"\nmsgstr[1] \"%{value} warnings\"\n\n#, elixir-autogen, elixir-format\nmsgid \"no error\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/notification_subscription.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"daily_new_comments\"\nmsgstr \"Comments added to your favorites (daily summary)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset_with_error\"\nmsgstr \"Validation errors\"\n\n#, elixir-autogen, elixir-format\nmsgid \"datasets_switching_climate_resilience_bill\"\nmsgstr \"Datasets being subject to/leaving the data reuse obligation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"expiration\"\nmsgstr \"Expiring data\"\n\n#, elixir-autogen, elixir-format\nmsgid \"new_dataset\"\nmsgstr \"Daily list of new datasets\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resource_unavailable\"\nmsgstr \"Unavailable resources\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset_now_on_nap\"\nmsgstr \"Dataset has been added to the NAP\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resources_changed\"\nmsgstr \"Dataset resources changed\"\n\n#, elixir-autogen, elixir-format\nmsgid \"periodic_reminder_producers\"\nmsgstr \"Periodic reminder for producers\"\n\n#, elixir-autogen, elixir-format\nmsgid \"promote_producer_space\"\nmsgstr \"Promote producer space\"\n\n#, elixir-autogen, elixir-format\nmsgid \"promote_reuser_space\"\nmsgstr \"Promote reuser space\"\n\n#, elixir-autogen, elixir-format\nmsgid \"warn_user_inactivity\"\nmsgstr \"Inactivity warning\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/page-dataset-details.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\nmsgid \"GTFS Validation\"\nmsgstr \"\"\n\nmsgid \"Notices\"\nmsgstr \"\"\n\nmsgid \"Warnings\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Posted on %{datetime}\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Respond\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Begin a new conversation\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Title\"\nmsgstr \"\"\n\nmsgid \"You need to be connected to post comments\"\nmsgstr \"\"\n\nmsgid \"Publish a modified version dataset\"\nmsgstr \"\"\n\nmsgid \"Modified datasets\"\nmsgstr \"\"\n\nmsgid \"There is no linked dataset yet\"\nmsgstr \"\"\n\nmsgid \"Subscribe to dataset\"\nmsgstr \"\"\n\nmsgid \"Unsubscribe to dataset\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Object ID\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Object name\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Related object ID\"\nmsgstr \"\"\n\nmsgid \"Severity\"\nmsgstr \"\"\n\nmsgid \"Fatal\"\nmsgstr \"\"\n\nmsgid \"Error\"\nmsgstr \"\"\n\nmsgid \"Warning\"\nmsgstr \"\"\n\nmsgid \"Notice\"\nmsgstr \"\"\n\nmsgid \"UnusedStop\"\nmsgstr \"Unused stop\"\n\nmsgid \"Slow\"\nmsgstr \"Very slow between two stops\"\n\nmsgid \"ExcessiveSpeed\"\nmsgstr \"Very fast between two stops\"\n\nmsgid \"NegativeTravelTime\"\nmsgstr \"Negative travel time between two stops\"\n\nmsgid \"CloseStops\"\nmsgstr \"Very close stops\"\n\nmsgid \"NullDuration\"\nmsgstr \"Travel time between two stops is null\"\n\nmsgid \"InvalidReference\"\nmsgstr \"Reference to an unknown object\"\n\nmsgid \"InvalidArchive\"\nmsgstr \"Could not open the GTFS archive\"\n\nmsgid \"MissingRouteName\"\nmsgstr \"Missing route name\"\n\nmsgid \"MissingId\"\nmsgstr \"Missing id\"\n\nmsgid \"MissingCoordinates\"\nmsgstr \"Missing coordinates\"\n\nmsgid \"MissingName\"\nmsgstr \"Missing name\"\n\nmsgid \"InvalidCoordinates\"\nmsgstr \"Invalid coordinates\"\n\nmsgid \"InvalidRouteType\"\nmsgstr \"Invalid route type\"\n\n#, elixir-autogen\nmsgid \"You need to be connected to start a discussion\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Answer published\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"New discussion started\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Unable to publish the answer\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Unable to start a new discussion\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start a new discussion\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Website\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"tags: \"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Outdated\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Community resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Licence\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You're using this dataset? %{a_start}Send an email!%{a_end}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Display more\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Display less\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Log in\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No error detected\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset has been removed from data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Backed up resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{start} to %{end}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publication date\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validity period\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get details about this dataset via an %{start_link}API call%{end_link}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Covered area\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"during validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resource format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"real-time\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real-time visualization of \"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization of the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Features available in the resource:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unavailable resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Up to date\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Not\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuses are temporarily unavailable\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource declared schema\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Version %{version}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Past versions of the dataset resources are available in the %{link} section.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"time to live (%{feed})\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"download availability over the last %{nb} days\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download availability\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"availability-test-explanations\"\nmsgstr \"We test this resource download availability every hour by making an HTTP <code class=\\\"inline\\\">HEAD</code> request with a timeout of 5 seconds. If we detect a downtime, we perform subsequent tests every 10 minutes, until the resource is back online.<br><br>For SIRI and SIRI Lite feeds, we perform a <code class=\\\"inline\\\">GET</code> request: a 401 or 405 status code is considered successful. In case of HTTP 500, the feed will be considered unavailable, unless the body appears to contain SOAP.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unknown\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Additional service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Between %{start} and %{end}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Detour\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"From %{start}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Modified service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other effect\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reduced service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"See details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Service alerts\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop moved\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unknown effect\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Until %{end}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Significant delays\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS-RT feed content\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Copy to clipboard\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Here is a display of service alerts contained in this feed at %{date}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See full payload\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not decode the GTFS-RT feed.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Decoded GTFS-RT feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The GTFS-RT feed should be accessible over HTTP, without authentication and use the Protobuf format.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Here is the decoded GTFS-RT feed Protobuf at %{date}. You can look at <a href=\\\"%{link}\\\" target=\\\"_blank\\\">the GTFS-RT documentation</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Entities\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Entities present in this feed at %{date}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Entities seen in the last %{nb} days.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Documentation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reusers can share in this section edits made on resources%{odbl_text}. <a href=\\\"%{datagouv_link}\\\" target=\\\"_blank\\\">Publish your own ressource</a> on data.gouv.fr or <a href=\\\"%{doc_link}\\\" target=\\\"_blank\\\">browse our documentation.</a>\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \", in accordance with the share-alike clause (article 4.4) of <a href=\\\"%{doc_link}\\\" target=\\\"_blank\\\">the ODbL License</a>\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed decoding failed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Specific usage conditions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"and \"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producers can share in this section design guidelines, documentation, etc. Use the <a href=\\\"%{url}\\\" target=\\\"_blank\\\">documentation type</a> on data.gouv.fr.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resources with a schema\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Browse the API\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The <a href=\\\"%{link}\\\" target=\\\"_blank\\\">timestamp field</a> appears to be too old compared to the current time: the delay is %{seconds} seconds. Try to update your feed at most every 30 seconds.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Displaying the last %{nb} backed up resources.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download history details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data published by\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"This dataset has been archived from data.gouv.fr on %{date}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Try me!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real-time data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Static data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Accessibility issue\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"No effect\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Cannot determine the relevant GTFS file to use to perform a GTFS-RT validation.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS file to use with the GTFS-RT feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Related resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"OSM community guidelines\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Date\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notification reason\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications sent\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you are a data producer, you can <a href=\\\"%{url}\\\" target=\\\"_blank\\\">manage how you receive these notifications</a> from your Producer section.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr automatically sends notifications to data producers in order to improve the quality of data. The following notifications have been sent in the last %{nb} days.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"loading discussions...\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This transport service operates seasonally. The associated resources may be outdated depending on the time of year. Contact the data producer through Discussions for more information.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data producer\"\nmsgstr \"Data producer\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Respond and close\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Quality indicators\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Latest quality indicators\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr computes quality indicators daily to assess the quality of the published data. <i class=\\\"fa fa-external-link-alt\\\"></i> <a href=\\\"%{doc_url}\\\" target=\\\"_blank\\\">Learn more</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare attributes\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare rules\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File or field\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line color\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line long name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line short name or line number\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"On-demand transport\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Quantity\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Status\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop accessibility\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The possibility of carrying a bicycle in the vehicle\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transfers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip accessibility\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip headsign\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip shapes\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The following table displays if the file/field is present in the GTFS.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Availability rate\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"latest-content-modification-label\"\nmsgstr \"Latest content modification\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset is hidden\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your comment\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset added to your favorites! Personalise your settings from your <a href=\\\"%{url}\\\" target=\\\"_blank\\\">reuser space</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"<a href=\\\"%{url}\\\" target=\\\"_blank\\\">Log in or sign up</a> to benefit from dataset services.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage your dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Follow this dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage services for this dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The producer requires authentication to access the data. Consequently, some features on transport.data.gouv.fr, such as data availability, validations, and metadata, are unavailable for this dataset. Please follow the producer's instructions to gain access to the data.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data under the responsibility of\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This unofficial dataset is provided experimentally. Do not use it for travel information purpose.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regulator\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"latest-content-modification-popover\"\nmsgstr \"We check daily at the source server if the content has changed. This date may be different from the one displayed on data.gouv.fr as transport.data.gouv.fr tracks changes on downloaded content.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare media\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Fare products\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport offers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Respond or close\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This discussion is closed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find below reuses created by individuals or organizations based on this dataset.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Download as GeoJSON\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Those resources are listed by the provider but are unreachable for now. <a href=\\\"%{url}\\\">Learn more</a>.\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/page-index.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\nmsgid \"Publish my data\"\nmsgstr \"\"\n\nmsgid \"Reuse data\"\nmsgstr \"\"\n\nmsgid \"Subscribe to our email newsletter to receive update\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Subscribe\"\nmsgstr \"\"\n\nmsgid \"Join us on\"\nmsgstr \"\"\n\nmsgid \"Download presentation\"\nmsgstr \"\"\n\nmsgid \"Publication guide\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Find dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"title\"\nmsgstr \"French national access point to transport data\"\n\n#, elixir-autogen, elixir-format\nmsgid \"subtitle\"\nmsgstr \"Gather all french mobility data\"\n\n#, elixir-format, elixir-autogen\nmsgid \"dataset\"\nmsgid_plural \"datasets\"\nmsgstr[0] \"%{count} dataset\"\nmsgstr[1] \"%{count} datasets\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See newly added datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Scheduled public transit\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See more statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Territories covered\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Territory coverage\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"covered\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"out of\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"of the population\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Are you producing transport data ?\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Who is reusing data from\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"producer description\"\nmsgstr \"Territories, transport operators… : you have to publish data about traveler information on this website. Our team is here to guide you to put your data into quality, into conformity and to publish it.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"reusers list description\"\nmsgstr \"A significant number of diverse and varied re-users use the data referenced on the NAP, much to our delight! Some of them showcase their services, applications, projects, studies… on our <a href=\\\"%{url}\\\">Declared reuses</a> page. Be the next!\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Ask for help\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close the form\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close the menu\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Search for data for a region, a city, a network…\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Use our APIs\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You can also\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A freely accessible service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ALL French open mobility data at the same place\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Available data by theme\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Online tools to ease data reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Selected formats\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Selected licences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"facilitators list description, %{link}\"\nmsgstr \"See our facilitators %{link}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"full list\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"They help us achieve our mission\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more about our missions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate your data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport offers available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Open the menu\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/page-login.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\n#, elixir-autogen\nmsgid \"transport.data.gouv.fr belongs to the data.gouv.fr network, and share the same user account\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"After having clicked this button, you should click on 'accepter' to authorise transport.data.gouv.fr to access your data.gouv.fr account details\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"data.gouv.fr is the open platform for French public data\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Sign In with data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"By clicking this button, you'll be able to create an account or use your existing data.gouv.fr account to log in\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/page-nouveautes.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New features\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/page-producteurs.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr help you publish your data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A number of administrations, companies and assocations use the French National Access Point to find mobility open-data in France.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access your producer section\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Contact us\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data publishing guidelines\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"For the users\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Go to transport.data.gouv.fr blog\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Help users find and use your data by following our publications guidelines.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Join the transport.data.gouv.fr community and stay informed!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Online validation tools\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our blog\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our reusers create applications allowing people to better use the mobility resources available around them.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Read here a summary of those obligations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Read our guidelines\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Read tutorials and users testimonies\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regulatory obligations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stay informed of the National Access Point latest news and upcoming functionalities.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The newsletter\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"To log in, you will be redirected to data.gouv.fr, the open platform for French public data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Users want quality data. Validate online GTFS files, GBFS feeds or any data following French national schemas.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Whether you are Autorité organisatrice de mobilité, délégataire de service public, or collectivité territoriale, you may be concerned by the laws loi pour une république numérique, la Loi Orientation des Mobilités and the european reglementation.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Welcome!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr is affiliated with data.gouv.fr, the open platform for French public data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you any question, send us an email and we'll be glad to help you!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Why should you publish your data?\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Validate a file or a feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our social media accounts\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/page-shortlist.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\nmsgid \"Download\"\nmsgstr \"\"\n\nmsgid \"Licence\"\nmsgstr \"\"\n\nmsgid \"See on data.gouv.fr\"\nmsgstr \"\"\n\nmsgid \"Territory\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Format\"\nmsgstr \"\"\n\nmsgid \"Status\"\nmsgstr \"\"\n\nmsgid \"Invalid\"\nmsgstr \"\"\n\nmsgid \"Valid\"\nmsgstr \"\"\n\nmsgid \"Valid datasets available\"\nmsgstr \"\"\n\nmsgid \"Last update\"\nmsgstr \"\"\n\nmsgid \"Publication date\"\nmsgstr \"\"\n\nmsgid \"Tags\"\nmsgstr \"\"\n\nmsgid \"Update frequency\"\nmsgstr \"\"\n\nmsgid \"unknown\"\nmsgstr \"Unknown\"\n\nmsgid \"punctual\"\nmsgstr \"Punctual\"\n\nmsgid \"hourly\"\nmsgstr \"Hourly\"\n\nmsgid \"fourTimesADay\"\nmsgstr \"Four times a day\"\n\nmsgid \"threeTimesADay\"\nmsgstr \"Three times a day\"\n\nmsgid \"semidaily\"\nmsgstr \"Semidaily\"\n\nmsgid \"daily\"\nmsgstr \"Daily\"\n\nmsgid \"fourTimesAWeek\"\nmsgstr \"Four times a week\"\n\nmsgid \"threeTimesAWeek\"\nmsgstr \"Three times a week\"\n\nmsgid \"semiweekly\"\nmsgstr \"Semiweekly\"\n\nmsgid \"weekly\"\nmsgstr \"Weekly\"\n\nmsgid \"biweekly\"\nmsgstr \"Biweekly\"\n\nmsgid \"threeTimesAMonth\"\nmsgstr \"Three times a month\"\n\nmsgid \"semimonthly\"\nmsgstr \"Semimonthly\"\n\nmsgid \"monthly\"\nmsgstr \"Monthly\"\n\nmsgid \"bimonthly\"\nmsgstr \"Bimonthly\"\n\nmsgid \"quarterly\"\nmsgstr \"Quaterly\"\n\nmsgid \"threeTimesAYear\"\nmsgstr \"Three times a year\"\n\nmsgid \"biannual\"\nmsgstr \"Biannual\"\n\nmsgid \"annual\"\nmsgstr \"Annual\"\n\nmsgid \"biennial\"\nmsgstr \"Biennial\"\n\nmsgid \"triennial\"\nmsgstr \"Triennial\"\n\nmsgid \"quinquennial\"\nmsgstr \"Quinquennial\"\n\nmsgid \"irregular\"\nmsgstr \"Irregular\"\n\nmsgid \"tramway\"\nmsgstr \"Tramway\"\n\nmsgid \"subway\"\nmsgstr \"Subway\"\n\nmsgid \"rail\"\nmsgstr \"Railway\"\n\nmsgid \"bus\"\nmsgstr \"Bus\"\n\nmsgid \"ferry\"\nmsgstr \"Ferry\"\n\nmsgid \"cable_car\"\nmsgstr \"Cable car\"\n\nmsgid \"gondola\"\nmsgstr \"Gondola\"\n\nmsgid \"funicular\"\nmsgstr \"Funicular\"\n\n#, elixir-autogen\nmsgid \"No dataset found\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Alphabetical\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Most recently added\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Order by\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get dataset list via an API\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There is no data for city %{name}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There is no data for region %{name}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real Time\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"with real time\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Any\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"created on\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"region\"\nmsgstr \"\"\n\n#, elixir-format, elixir-autogen\nmsgid \"result\"\nmsgid_plural \"results\"\nmsgstr[0] \"%{value} result for \\\"%{q}\\\"\"\nmsgstr[1] \"%{value} results for \\\"%{q}\\\"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"city\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"category\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All (feminine)\"\nmsgstr \"All\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Licences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sub type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"department\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"EPCI %{name} has not yet published any datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport offer\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data format\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/resource.po",
    "content": "msgid \"Unable to get resources, please retry.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File uploaded!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to upload file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource updated with URL!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Add a new resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource modification\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This option allows you to update the resource on data.gouv.fr, directly from here.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource is not available on remote server\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This resource belongs to a dataset that has been deleted from data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"This option allows you to add the resource on data.gouv.fr, directly from here. Do you want to publish a more up-to-date version of a resource? <a href=\\\"%{url}\\\">Update the resource</a> instead.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Date\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed name:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Format:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"An authentication is required to access this SIRI feed.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI authentication\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The key (RequestorRef) to provide is <code class=\\\"inline\\\" id=\\\"siri_requestor_ref\\\">%{requestor_ref}</code>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you haven’t done it yet, think about <a href=\\\"%{link}\\\">validating your data</a> before publishing it.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not delete the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The resource has been deleted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Open with explore.data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Size:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Occurrences of the %{element} element.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of lines:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of quays:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of stop places:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NeTEx features:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"accessibility\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fares\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"networks\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"parkings\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"timetables\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/reusable_data.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\nmsgid \"fr-lo\"\nmsgstr \"Open Licence\"\n\nmsgid \"notspecified\"\nmsgstr \"Not specified\"\n\nmsgid \"odc-odbl\"\nmsgstr \"ODbL\"\n\nmsgid \"other-open\"\nmsgstr \"Other open\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/reuser-space.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No results\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notification bell\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive helpful notifications about your favorite datasets.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Favorite datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Actions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data expiration notification explanation\"\nmsgstr \"You are warned ahead of the last date covered by the data.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resources changed notification explanation\"\nmsgstr \"You are warned if a resource is added, removed or if its URL changed.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unavailable resources notification explanation\"\nmsgstr \"You are warned if a resource couldn't be downloaded during 6 consecutive hours.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"validation errors notification explanation\"\nmsgstr \"You are warned if a resource doesn't respect the standard, rendering it unusable.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Global notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications by dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"notifications are good for you\"\nmsgstr \"Email notifications alert you to quality or availability issues that could affect your reuse of transport data. To activate notifications for a dataset, first add it to your favorites (❤️ icon on the dataset page).<br/><br/>You can also follow the general activity of transport.data.gouv.fr through comments and new datasets.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access your reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Set up notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"To log in, you will be redirected to data.gouv.fr, the open platform for French public data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Welcome!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr helps you follow the data you reuse\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr is affiliated with data.gouv.fr, the open platform for French public data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"reuser-space-intro\"\nmsgstr \"To add a favorite and benefit from monitoring and quality improvement services for the datasets you reuse, you must first log in and then click on the ❤️ icon on the dataset page.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{dataset_title} has been removed from your favorites\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cancel\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Remove from favorites\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discussions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Improved data sharing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Preferences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This feature is coming soon!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Warning, you are going to remove \\\"%{dataset_title}\\\" from your favorites. You will lose any settings or actions you previously performed on this dataset.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Only GTFS files are eligible for now.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Share improved data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your improved data URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Step 1: choose the initial resource from the producer\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Step 2: add the URL to download your improved data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You already shared improved data for this dataset, thanks!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your improved data has been saved.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Organisation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Secret\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Settings\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There are no tokens yet.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tokens\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A name identifying the application using this token.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create a new token\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Token name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You need to be a member of an organisation to create new tokens.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your token has been created\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Your token has been deleted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tokens can be used when using <a href=\\\"%{swagger_url}\\\" target=\\\"_blank\\\">the API</a>. The token should be included in the <code>Authorization</code> HTTP header. If your token is <code>foo</code>, you should send HTTP requests with the header <code>Authorization: foo</code>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Using tokens\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You can create or join an organisation on data.gouv.fr. <a href=\\\"%{doc_url}\\\" target=\\\"_blank\\\">See the documentation</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The token %{name} is now the default token\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Default token\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"(by default)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declare a reuse\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declare your reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Highlight your reuses and make yourself known.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Personal token\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"API - Manage your tokens\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create and manage your tokens independently.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage your tokens\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Important information on resources you follow\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Available services\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Alert hidden for 7 days\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Hide for 7 days\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/reuses.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgid_plural \"datasets\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"api\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"application\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"hardware\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"news_article\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"paper\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"post\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"visualization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"idea\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"index-intro\"\nmsgstr \"Below is the list of reusers who have declared reusing a dataset referenced on transport.data.gouv.fr.<br/><br/>Not on the list? Showcase your reuses <a href=\\\"%{url}\\\">your reuser space</a> and your work will automatically appear on this page!<br/><br/>More information in our online documentation:\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish a reuse\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Find reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"-- All --\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declared reuses\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/seo.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{format} Transport open dataset - %{title} for %{custom_title} - %{territory}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish, improve and reuse French public transport data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport open datasets for %{type} %{name}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{name} EPCI: Transport open datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{q}: Available transport open datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{custom_title} - Open %{formats} datasets - %{territory}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"National Access Point for transport open data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport open datasets for city %{name}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data quality evaluation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"State of transport open data for french AOMs\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"State of transport open data in France\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{name} department: Transport open datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Transport open datasets for transport offer %{name}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Transport open datasets for data format %{name}\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/stats.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Service alerts\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip updates\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Vehicle positions\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/user.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\nmsgid \"First step\"\nmsgstr \"\"\n\nmsgid \"Select an organization that publishes transport data\"\nmsgstr \"\"\n\nmsgid \"This organization publishes transport data\"\nmsgstr \"\"\n\nmsgid \"Choose a dataset you want to be on transport.data.gouv.fr\"\nmsgstr \"\"\n\nmsgid \"Second step\"\nmsgstr \"\"\n\nmsgid \"Add this dataset\"\nmsgstr \"\"\n\nmsgid \"Organization\"\nmsgstr \"\"\n\nmsgid \"Go back to organizations list\"\nmsgstr \"\"\n\nmsgid \"Create an organization\"\nmsgstr \"\"\n\nmsgid \"You need to add a dataset on data.gouv.fr\"\nmsgstr \"\"\n\nmsgid \"Organization's description\"\nmsgstr \"\"\n\nmsgid \"Organization's name\"\nmsgstr \"\"\n\nmsgid \"Create organization\"\nmsgstr \"\"\n\nmsgid \"Organization added\"\nmsgstr \"\"\n\nmsgid \"You need to provide an organisation description\"\nmsgstr \"\"\n\nmsgid \"You need to provide an organisation name\"\nmsgstr \"\"\n\nmsgid \"Upload a new dataset\"\nmsgstr \"\"\n\nmsgid \"Upload dataset\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/validation.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation not found. On-demand validation results have been reinitialized on 2022-05-30. Please validate your file again.\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/validations-explanations.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"DuplicateStops\"\nmsgstr \"Some stops are very close. This could mean that they are a duplicate\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Impacted file:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close stop\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ExtraFile\"\nmsgstr \"The GTFS archive should only contain files that are part of the specification\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Next stop and service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SpeedIssue\"\nmsgstr \"The speed between two consecutive stops do not seem credible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"MissingFile\"\nmsgstr \"Some mandatory files are missing in the GTFS archive\"\n\n#, elixir-autogen, elixir-format\nmsgid \"UnusedStop\"\nmsgstr \"Existing stop that never occurs in any service\"\n\n#, elixir-autogen, elixir-format\nmsgid \"CoordinatesIssue\"\nmsgstr \"Coordinates of stops are mandatory in the GTFS specification\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error detail:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"at line\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The file does not comply with the GTFS specification, the tool cannot perform all the checks.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Glimpse of the file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error on file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Shape ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Some shape id used in trips.txt are not defined in shapes.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Some shapes defined in shapes.txt are not used in trips.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"MissingId\"\nmsgstr \"Some required IDs are missing\"\n\n#, elixir-autogen, elixir-format\nmsgid \"MissingName\"\nmsgstr \"Some required names are missing\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Object type\"\nmsgstr \"Object type\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Object ID\"\nmsgstr \"Object ID\"\n\n#, elixir-autogen, elixir-format\nmsgid \"DuplicateStopSequence\"\nmsgstr \"Some stops within a trip have the same stop sequence value.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Related stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SubFolder\"\nmsgstr \".txt files are in subfolder (%{folder}). Files must reside at the root level directly, not in a subfolder.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NegativeStopDuration\"\nmsgstr \"The departure time at a stop is earlier than its arrival time.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Message\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unknown location\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"UnusableTrip\"\nmsgstr \"A trip must visit more than one stop in stop_times.txt to be usable by passengers for boarding and alighting.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NoCalendar\"\nmsgstr \"<code>calendar.txt</code> and <code>calendar_dates.txt</code> are empty. The service is never running.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Here is a summary of XSD validation errors. Full detail of those errors is available in the <a href=\\\"%{validation_report_url}\\\" target=\\\"_blank\\\">CSV report</a>. Those errors are produced by <a href=\\\"https://gnome.pages.gitlab.gnome.org/libxml2/xmllint.html\\\" target=\\\"_blank\\\">xmllint</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Occurrences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The following errors are only available in English.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"File\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/en/LC_MESSAGES/validations.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: en\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No validation available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS review report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This report can be shared with\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"this permanent link\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Nice work, there are no issues!\"\nmsgstr \"\"\n\n#, elixir-format, elixir-autogen\nmsgid \"network\"\nmsgid_plural \"networks\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-format, elixir-autogen\nmsgid \"transport mode\"\nmsgid_plural \"transport modes\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"It is valid from\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This resource file is part of the dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"to\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"explanations-gtfs\"\nmsgstr \"This is the automated evaluation of the GTFS datafile. \"\n\"This validation only considers the datastructure and does not give any information about completeness nor exactitude of the timetables. \"\n\n#, elixir-autogen, elixir-format\nmsgid \"explanations-netex\"\nmsgstr \"This is the automated evaluation of the NeTEx datafile. \"\n\"This validation only considers the datastructure and does not give any information about completeness nor exactitude of the data. \"\n\n#, elixir-autogen, elixir-format\nmsgid \"Show anyway\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stops visualization is quite big\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stops and routes visualization of the GTFS file\"\nmsgstr \"\"\n\n#, elixir-format, elixir-autogen\nmsgctxt \"errors\"\nmsgid \"error\"\nmsgid_plural \"errors\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Showing only the first %{nb} errors.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This resource should follow its schema %{link}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No error detected\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization up-to-date %{hours} ago.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Choose your file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Last updated at %{date}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Validation results\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Are you the producer of this data? Once you have fixed your errors, you can verify that your file is valid <a href=\\\"%{link}\\\" target=\\\"_blank\\\">using our validators</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sample errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation carried out using the <a href=\\\"%{gtfs_link}\\\">current GTFS file</a> and the <a href=\\\"%{gtfs_rt_link}\\\">GTFS-RT</a> the %{date} using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">MobilityData GTFS-RT validator</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Warnings\"\nmsgstr \"\"\n\n#, elixir-format, elixir-autogen, fuzzy\nmsgctxt \"warnings\"\nmsgid \"warning\"\nmsgid_plural \"warnings\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Validate\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Check the quality of a file or a feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"GBFS validation report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This is the validation report of the GBFS feed %{link}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Validation performed at %{date}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your GTFS realtime's URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Your GTFS' URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate this GTFS-RT now\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Each GTFS-RT feed can only be validated once per 5 minutes. Please wait a moment and try again.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS-RT feeds change in real-time. This validation report shows the validation result performed at %{date}. You can relaunch a validation later on and get different results.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This validation concerns the given GTFS-RT feed and GTFS file and has been carried out using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">MobilityData GTFS-RT validator</a>. It does not validate the GTFS itself. You can validate your GTFS file <a href=\\\"%{gtfs_validator}\\\">using our GTFS validator</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Visualization is quite big\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No validation error\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See all your errors <a href=\\\"%{url}\\\" target=\\\"_blank\\\">using the web interface</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See <a href=\\\"%{report_url}\\\" target=\\\"_blank\\\">the validation report</a> online.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation carried out the %{date} using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">MobilityData validator</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Validate this GBFS now\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload in progress\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Validation carried out using the <a href=\\\"%{link}\\\">current %{format} file</a> the %{date} using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">%{validator_name}</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"from\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} times (%{percentage} % of validations)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Error ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Errors count\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Here is a recap of all the error types encountered over the last %{nb} days.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Number of occurences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Previous validations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Many validation errors indicate that the GTFS-RT identifiers do not match the GTFS identifiers.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Shapes present in the GTFS have been ignored, some rules are not enforced.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"calendar span by network:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"number of routes:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"number of stop areas:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"number of stop points:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"NeTEx review report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Elapsed time: %{duration}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NeTEx validation is in beta.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"less than 1 second\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"PAN GTFS validator\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"enRoute Chouette Valid\"\nmsgstr \"enRoute Chouette Valid validator\"\n\n#, elixir-autogen, elixir-format\nmsgid \"xsd-schema-description\"\nmsgstr \"Every NeTEx resource must comply with the <a href=\\\"https://github.com/NeTEx-CEN/NeTEx\\\" target=\\\"_blank\\\">NeTEX XSD</a>, regardless of its profile. The XSD validation does not cover choices made by <a href=\\\"%{category_french_profile}\\\">the French profile</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"xsd-schema-hints\"\nmsgstr \"Amongst most frequent errors, check that ids are unique, that elements are in the expected order, and that no mandatory attribute is missing.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Base rules\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"base-rules-description\"\nmsgstr \"These rules are common best practices. They are shared by all NeTEx profiles. Their documentation can be found on <a href=\\\"https://enroute.atlassian.net/wiki/spaces/PUBLICFR/pages/2987556904/Les+r+gles+par+enRoute\\\" target=\\\"_blank\\\">enRoute's Wiki</a>.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Other errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"netex-french-profile-no-compliance\"\nmsgstr \"We do not yet check the compliance with the <a href=\\\"https://normes.transport.data.gouv.fr/\\\">French profile</a> (nor the dataset structure nor mandatory attributes).\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"netex-french-profile-partial-compliance\"\nmsgstr \"We only partially check the compliance with the <a href=\\\"https://normes.transport.data.gouv.fr/\\\">French profile</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"French profile\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"french-profile-description\"\nmsgstr \"Set of rules of the <a href=\\\"https://normes.transport.data.gouv.fr\\\" target=\\\"_blank\\\">French profile</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"during %{retention_days} days\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This validation is now expired. Results cannot be accessed anymore.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Information\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Relevant files\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Relevant links\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Canonical GTFS Schedule Validator\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Public transit\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Vehicles sharing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE, ZFE, carpooling, bike data etc.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Road mobility and bike\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"As a CSV file:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"As a Parquet file:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download the report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more about it <a href=\\\"%{parquet_url}\\\" target=\\\"_blank\\\">here</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"No validation error. No report to download.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Parquet is way more compact file format but it will require you to use some dedicated tooling.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"XSD\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All rules of this category are respected.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"List of French Profile rules currently checked\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Stops and routes visualization of the NeTEx file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Column\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not validate file rows because of file-level errors.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error samples\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors by column\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File-level errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE Statique validation report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid rows\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This validation now uses our integrated IRVE Statique validator.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Total rows\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Valid rows\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Value\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You can still use the previous <a href=\\\"%{url}\\\" target=\\\"_blank\\\">Validata validator</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"File is too large, must be <%{max_file_size}.\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/errors.pot",
    "content": "#, elixir-autogen\nmsgid \"End of the road!\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Try to refresh the page in a few seconds, or contact us.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"404: Page not available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Impossible to find a city with the insee code %{insee}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Region %{insee} does not exist\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"400: Bad Request\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"401: Unauthorized\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feature temporarily disabled\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"503: Service Unavailable\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Department %{insee} does not exist\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"EPCI %{insee} does not exist\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/espace-producteurs.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Adding a dataset guidelines\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Before we can reference your mobility data on the National Access Point, you need to upload it on data.gouv.fr by publishing a new dataset.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish a dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish a new dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publishing best practices\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Update a resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Useful tools and content\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate your datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport proxy statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive helpful notifications about the data you publish.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications settings\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate a file or a feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Before publishing, you can test your data online and check its validity.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get access to traffic statistics for your feeds handled by the transport.data.gouv.fr proxy.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your proxy statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete a resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Update your logo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your current logo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your custom logo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your logo has been received. It will be replaced soon.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Remove the custom logo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your custom logo has been removed.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"notifications are good for you\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage my notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data expiration notification explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unavailable resources notification explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"validation errors notification explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Nobody else is subscribed to this notification\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"other subscribed contacts\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Off\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"On\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Add a resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you want to publish an update to your data, please update an existing resource in the following list rather than publish a new one.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"full-edition-on-data-gouv-fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our team maintains a comprehensive documentation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage your resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Add the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create it directly on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Current file: %{current_file}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Do you want to update the resource or delete it definitely?\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit directly on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Example: Paris GTFS dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Give a link for the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"I'm not sure. Learn more.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 1: Directly add the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 1: Directly update the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 2: for more options, create the resource on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 2: for more options, edit the resource on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Update the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload a file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"or\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"title\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Actions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download reuser GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"In order to help you improve the quality of your data, we have set up this space for sharing the modifications and improvements made by certain reusers.<br><br>You will thus be able to benefit from the work of reusers and better identify the differences, correct the errors and complete the missing information.<br><br>Below are the organizations that have played the game and shared their improved data as well as access to the difference report generated by our tool %{url}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Logo\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Organisation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser improved data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare with my GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Datasets of your organisation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Downloads for %{year}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get access to download statistics for your resources.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your download statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download proxy statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download download statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File: <strong>%{name}</strong>\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See the validation report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start again\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"expiring_resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"invalid_resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unavailable_resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See the discussion\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unanswered_discussions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discussion\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Link\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unanswered discussions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You have no unanswered discussions.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find below download statistics for your resources. Statistics can be downloaded at the bottom of the page.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See unanswered discussions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See unanswered discussions on your datasets.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find here discussions that have not been closed and where the last person to reply is not a member of your organisation.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start the validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Drop your file here or click to browse your local drive\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Expired resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"recent_discussions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discover new features\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New features available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"recent_features\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find below proxy statistics for your resources. You can download detailed statistics in CSV format using the button above.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Proxy requests\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Requests served by the proxy\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Requests served by upstream\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upstream requests\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"View detailed statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"over the last %{nb} days\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Important information regarding your resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Information\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The following information require your attention.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Available services\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/explore.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data exploration map\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"gtfs-rt-explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS-RT feeds referenced on this site\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"bnlc-explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling areas national database\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real time vehicle positions (GTFS-RT)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Execute\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Generate\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"HTTP headers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI query\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI query generator\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI response\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Endpoint URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Requestor ref\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"HTTP request body\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"HTTP response body\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line References (comma separated list)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop Reference (only one)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Low emission zones database\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"lez-explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Consolidated GTFS stops map\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Consolidated GTFS stops map explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"irve-explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE map\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GBFS stations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"gbfs-stations-explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Search a city\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/feedback.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Send the feedback\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Why?\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your email (optional)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"What's your feedback on this page?\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Leave your feedback\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Thanks for your feedback!\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/administrative_division.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"EPCI\"\nmsgstr \"EPCI\"\n\n#, elixir-autogen, elixir-format\nmsgid \"country\"\nmsgstr \"pays\"\n\n#, elixir-autogen, elixir-format\nmsgid \"department\"\nmsgstr \"département\"\n\n#, elixir-autogen, elixir-format\nmsgid \"municipality\"\nmsgstr \"commune\"\n\n#, elixir-autogen, elixir-format\nmsgid \"region\"\nmsgstr \"région\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/alert.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\n#, elixir-autogen\nmsgid \"You need to be connected before doing this.\"\nmsgstr \"Vous devez être préalablement connecté·e.\"\n\n#, elixir-autogen\nmsgid \"An error occured, please try again\"\nmsgstr \"Une erreur est survenue, veuillez réessayer\"\n\n#, elixir-autogen\nmsgid \"You need to be a member of the transport.data.gouv.fr team.\"\nmsgstr \"Vous devez être un membre de l'équipe transport.data.gouv.fr.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to get all your resources for the moment\"\nmsgstr \"Une erreur a eu lieu lors de la récupération de vos ressources\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to get this dataset for the moment\"\nmsgstr \"Impossible de récupérer ce jeu de données pour le moment\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/autocomplete.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"commune\"\nmsgstr \"commune\"\n\n#, elixir-autogen, elixir-format\nmsgid \"departement\"\nmsgstr \"département\"\n\n#, elixir-autogen, elixir-format\nmsgid \"epci\"\nmsgstr \"EPCI\"\n\n#, elixir-autogen, elixir-format\nmsgid \"feature\"\nmsgstr \"données contenant…\"\n\n#, elixir-autogen, elixir-format\nmsgid \"mode\"\nmsgstr \"mode de transport\"\n\n#, elixir-autogen, elixir-format\nmsgid \"offer\"\nmsgstr \"offre de transport\"\n\n#, elixir-autogen, elixir-format\nmsgid \"region\"\nmsgstr \"région\"\n\n#, elixir-autogen, elixir-format\nmsgid \"search-description\"\nmsgstr \"Rechercher $query dans les descriptions des jeux de données\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"results-description\"\nmsgstr \"Ou rechercher par :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"format\"\nmsgstr \"format de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgstr \"jeu de données\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/backoffice.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\n#, elixir-autogen\nmsgid \"Add\"\nmsgstr \"Ajouter\"\n\n#, elixir-autogen\nmsgid \"Add a dataset\"\nmsgstr \"Ajouter un jeu de données\"\n\nmsgid \"INSEE Code\"\nmsgstr \"Code INSEE\"\n\n#, elixir-autogen\nmsgid \"Valid datasets available\"\nmsgstr \"Jeux de données disponibles\"\n\nmsgid \"data.gouv.fr id\"\nmsgstr \"id data.gouv.fr\"\n\n#, elixir-autogen\nmsgid \"name\"\nmsgstr \"Nom du jeu de données sur le PAN\"\n\nmsgid \"Dataset added with success\"\nmsgstr \"Jeux de données ajouté avec succès\"\n\nmsgid \"Dataset not added\"\nmsgstr \"Échec à l’ajout du jeu de données\"\n\nmsgid \"Dataset imported with success\"\nmsgstr \"Jeux de données ajouté avec succès\"\n\nmsgid \"Dataset not imported\"\nmsgstr \"Échec à l’import du jeu de données\"\n\nmsgid \"Could not add dataset\"\nmsgstr \"Impossible d’ajouter le jeu de données\"\n\nmsgid \"Add a partner\"\nmsgstr \"Ajout d'un partenaire\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset's url\"\nmsgstr \"URL du dataset sur data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to find dataset\"\nmsgstr \"Impossible de trouver le jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Import all datasets from data.gouv\"\nmsgstr \"Importer tous les jeux de données depuis data.gouv\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Outdated\"\nmsgstr \"Périmés\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Show all datasets\"\nmsgstr \"Montrer tous les jeux de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Save\"\nmsgstr \"Enregistrer\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit a dataset\"\nmsgstr \"Édition d'un jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS with fatal failure\"\nmsgstr \"GTFS avec erreur irrécupérable\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cancel\"\nmsgstr \"Annuler\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other actions on the dataset\"\nmsgstr \"Autres actions associées au dataset\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Imports history\"\nmsgstr \"Historique des imports\"\n\n#, elixir-autogen, elixir-format\nmsgid \"date / time\"\nmsgstr \"date / heure\"\n\n#, elixir-autogen, elixir-format\nmsgid \"error message\"\nmsgstr \"message d'erreur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"success\"\nmsgstr \"succès\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Rapport de complétude des imports\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With a resource not available\"\nmsgstr \"Ayant une ressource non disponible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With licence unspecified\"\nmsgstr \"Sans licence spécifiée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With more than 1 GTFS\"\nmsgstr \"Ayant plus de 1 GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Show only datasets\"\nmsgstr \"Montrer seulement les jeux de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Proxy configuration\"\nmsgstr \"Configuration du proxy\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Jobs\"\nmsgstr \"Jobs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"With a resource under 90% availability\"\nmsgstr \"Ayant une ressource sous les 90% de disponibilité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See dataset on website\"\nmsgstr \"Voir le jeu de données sur le site\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset is not historicized on purpose.\"\nmsgstr \"Ce jeu de données n'est pas historisé intentionnellement.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Transport validator - Force validation\"\nmsgstr \"Validateur GTFS Transport - Validation forcée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validations\"\nmsgstr \"Validations\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Archived\"\nmsgstr \"Archivés\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Changements d'URLs stables\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cache debug\"\nmsgstr \"Debug du cache\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Deleted\"\nmsgstr \"Supprimés\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS data import\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Phoenix LiveDashboard\"\nmsgstr \"Phoenix LiveDashboard\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Datetime\"\nmsgstr \"Date / heure\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Emails\"\nmsgstr \"E-mails\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notification reason\"\nmsgstr \"Motif de notification\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications sent\"\nmsgstr \"Notifications envoyées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications sent in the last %{nb_days} days.\"\nmsgstr \"Notifications envoyées au cours des %{nb_days} derniers jours.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publisher type\"\nmsgstr \"Type de publicateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"published by\"\nmsgstr \"publié par\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There is %{n} resource in this dataset\"\nmsgid_plural \"There are %{n} resources in this dataset\"\nmsgstr[0] \"Il y a %{n} ressource dans ce jeu de données\"\nmsgstr[1] \"Il y a %{n} ressources dans ce jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Last historization\"\nmsgstr \"Dernière historisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource\"\nmsgstr \"Ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource historization\"\nmsgstr \"Historisation des ressources\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Legal owners\"\nmsgstr \"Représentants légaux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"or\"\nmsgstr \"ou\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Company SIREN code\"\nmsgstr \"Code SIREN d'une entreprise\"\n\n#, elixir-autogen, elixir-format\nmsgid \"AOM open data status\"\nmsgstr \"Ouverture des données par AOM\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Rate limiter\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE dashboard\"\nmsgstr \"Suivi des IRVE\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Hidden\"\nmsgstr \"Masqué\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Hidden datasets\"\nmsgstr \"Masqués\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Role\"\nmsgstr \"Rôle\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset\"\nmsgstr \"Jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There are no notification subscriptions for this contact.\"\nmsgstr \"Il n’y a pas d’abonnements à des notifications pour ce contact.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Existing subscriptions\"\nmsgstr \"Abonnements existants\"\n\n#, elixir-autogen, elixir-format\nmsgid \"reuser-subscription-count\"\nmsgid_plural \"reuser-subscriptions-count\"\nmsgstr[0] \"Ainsi que %{reuser_subscriptions_count} abonnement de\"\nmsgstr[1] \"Ainsi que %{reuser_subscriptions_count} abonnements de\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"reuser-count\"\nmsgid_plural \"reusers-count\"\nmsgstr[0] \"%{reusers_count} réutilisateur.\"\nmsgstr[1] \"%{reusers_count} réutilisateurs.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"spatial areas label\"\nmsgstr \"Choisissez un ou plusieurs communes, EPCI, départements, régions ou pays. Ceci n’est pas affiché publiquement (site, API) pour l’instant.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Offers\"\nmsgstr \"Offres\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Spatial area\"\nmsgstr \"Territoire couvert déclaré\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Email preview\"\nmsgstr \"Prévisualisation d'e-mails\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Jobs Observation Center\"\nmsgstr \"Suivi des jobs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"count\"\nmsgstr \"nombre\"\n\n#, elixir-autogen, elixir-format\nmsgid \"worker\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Last update:\"\nmsgstr \"Dernière mise à jour :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"args\"\nmsgstr \"arguments\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"errors\"\nmsgstr \"erreurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"queue\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"state\"\nmsgstr \"état\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"inserted_at\"\nmsgstr \"inséré à\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"scheduled_at\"\nmsgstr \"programmé à\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"time range\"\nmsgstr \"plage horaire\"\n\n#, elixir-autogen, elixir-format\nmsgid \"listing\"\nmsgstr \"liste\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"total: %{n_jobs} job\"\nmsgid_plural \"total: %{n_jobs} jobs\"\nmsgstr[0] \"total : %{n_jobs} job\"\nmsgstr[1] \"total : %{n_jobs} jobs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reset\"\nmsgstr \"Valeurs par défaut\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Today\"\nmsgstr \"Aujourd’hui\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tomorrow\"\nmsgstr \"Demain\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Yesterday\"\nmsgstr \"Hier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{date} between %{from} and %{to}\"\nmsgstr \"%{date} entre %{from} et %{to}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"truncated (%{hidden} jobs hidden)\"\nmsgstr \"tronqué (%{hidden} jobs masqués)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Arguments\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Errors\"\nmsgstr \"Erreurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Job #%{job_id}\"\nmsgstr \"Job n°%{job_id}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Properties\"\nmsgstr \"Propriétés\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/backoffice_dataset.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset unlisted\"\nmsgstr \"Jeu de données déréférencé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset imported with success\"\nmsgstr \"Jeu de données importé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset not imported\"\nmsgstr \"Impossible d'importer le jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not add dataset\"\nmsgstr \"Impossible d'ajouter le jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not unlist dataset\"\nmsgstr \"Impossible de déréférencer le jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset added with success\"\nmsgstr \"Dataset ajouté\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Import and validation of all datasets have been launch\"\nmsgstr \"L'import et la validation de tous les jeux de données ont été lancés.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not edit dataset\"\nmsgstr \"Impossible d'éditer le jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset edited with success\"\nmsgstr \"Jeu de données édité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate\"\nmsgstr \"Valider\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validated\"\nmsgstr \"Validé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validating\"\nmsgstr \"En cours\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Check the dataset page\"\nmsgstr \"Voir la page du jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Transport Validator has been force launched on all GTFS resources\"\nmsgstr \"Le validateur GTFS Transport a été lancé sur toutes les ressources GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Send welcome email to contacts\"\nmsgstr \"Envoyer e-mail de bienvenue aux contacts\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sending\"\nmsgstr \"Envoi en cours\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sent\"\nmsgstr \"Envoyé\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/climate-resilience-bill.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/community_resource.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"by\"\nmsgstr \"par\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/contact.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Find contacts\"\nmsgstr \"Rechercher des contacts\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/datagouv-dataset.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A description is needed\"\nmsgstr \"Vous devez fournir une description\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A title is needed\"\nmsgstr \"Vous devez fournir un titre\"\n\n#, elixir-autogen, elixir-format\nmsgid \"An organization is needed\"\nmsgstr \"Une organisation est requise\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/dataset.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\nmsgid \"Annual\"\nmsgstr \"Annuelle\"\n\nmsgid \"Bimonthly\"\nmsgstr \"Bimensuelle\"\n\nmsgid \"Description of the dataset\"\nmsgstr \"Description du jeu de données\"\n\nmsgid \"Monthly\"\nmsgstr \"Mensuelle\"\n\nmsgid \"Semi annual\"\nmsgstr \"Bi-annuelle\"\n\nmsgid \"Semi weekly\"\nmsgstr \"Semi hebdomadaire\"\n\nmsgid \"Title of the dataset\"\nmsgstr \"Titre\"\n\nmsgid \"Unknown\"\nmsgstr \"Inconnue\"\n\nmsgid \"Update frequency of the dataset\"\nmsgstr \"Fréquence de mise à jour du jeu de données\"\n\nmsgid \"Weekly\"\nmsgstr \"Hebdomadaire\"\n\nmsgid \"Dataset file\"\nmsgstr \"Fichier\"\n\nmsgid \"A dataset file is needed\"\nmsgstr \"Un fichier contenant un jeu de données est requis\"\n\nmsgid \"Invalid dataset identifier\"\nmsgstr \"L’identificateur du jeu de données n’est pas valide\"\n\nmsgid \"Your modified version of this dataset has beed added\"\nmsgstr \"Votre version a été ajoutée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fr-lo\"\nmsgstr \"Licence Ouverte — version 1.0\"\n\n#, elixir-autogen, elixir-format\nmsgid \"notspecified\"\nmsgstr \"Non spécifiée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"odc-odbl\"\nmsgstr \"ODbL\"\n\n#, elixir-autogen, elixir-format\nmsgid \"other-open\"\nmsgstr \"Autre ouverte\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The resource is not available (maybe temporarily)\"\nmsgstr \"La ressource est indisponible (peut-être temporairement)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"lov2\"\nmsgstr \"Licence Ouverte — version 2.0\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Mobility Licence\"\nmsgstr \"Licence mobilités\"\n\n#, elixir-autogen, elixir-format\nmsgid \"licence-ouverte\"\nmsgstr \"Licence Ouverte\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/db-dataset-score.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"availability\"\nmsgstr \"disponibilité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"compliance\"\nmsgstr \"conformité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"freshness\"\nmsgstr \"fraicheur\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/db-dataset.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling areas\"\nmsgstr \"Lieux de covoiturage\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See on data.gouv.fr\"\nmsgstr \"Voir sur data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other informations\"\nmsgstr \"Autres informations\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Charging & refuelling stations\"\nmsgstr \"IRVE et autres stations de réapprovisionnement\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Public transit\"\nmsgstr \"Transport public collectif\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Road data\"\nmsgstr \"Données routières\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Organization type is invalid\"\nmsgstr \"Le type d'organisation (publicateur) est invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling lines\"\nmsgstr \"Lignes de covoiturage\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling offers\"\nmsgstr \"Offres de covoiturage\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Bike data\"\nmsgstr \"Stationnements et aménagements cyclables\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Pedestrian path\"\nmsgstr \"Cheminement piéton\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Vehicles sharing\"\nmsgstr \"Véhicules en libre-service\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Urban\"\nmsgstr \"Urbain\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Intercity\"\nmsgstr \"Intercités\"\n\n#, elixir-autogen, elixir-format\nmsgid \"School\"\nmsgstr \"Scolaire\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Seasonal\"\nmsgstr \"Saisonnier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Zonal DRT\"\nmsgstr \"TAD zonal\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Bicycle\"\nmsgstr \"Vélo\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Scooter\"\nmsgstr \"Trottinette\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carsharing\"\nmsgstr \"Autopartage\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Moped\"\nmsgstr \"Cyclomoteur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Freefloating\"\nmsgstr \"Free-floating\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/db-resource-related.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Associated GTFS file\"\nmsgstr \"Fichier GTFS associé\"\n\n#, elixir-autogen\nmsgid \"Manual association\"\nmsgstr \"Association manuelle\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/default.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\n#, elixir-autogen\nmsgid \"Sign In\"\nmsgstr \"Se connecter\"\n\n#, elixir-autogen\nmsgid \"Sign Out\"\nmsgstr \"Se déconnecter\"\n\n#, elixir-autogen\nmsgid \"Contact\"\nmsgstr \"Nous contacter\"\n\nmsgid \"Publish, improve and reuse French public transport data\"\nmsgstr \"Rendre disponible, valoriser et améliorer les données transports\"\n\nmsgid \"Close\"\nmsgstr \"fermer\"\n\n#, elixir-autogen\nmsgid \"Email address\"\nmsgstr \"Adresse email\"\n\n#, elixir-autogen\nmsgid \"Send email\"\nmsgstr \"Envoyer un email\"\n\n#, elixir-autogen\nmsgid \"There has been an error, try again later\"\nmsgstr \"Il y a eu une erreur réessayez.\"\n\n#, elixir-autogen\nmsgid \"Your email has been sent, we will contact you soon\"\nmsgstr \"Votre email a été envoyé, nous vous recontacterons prochainement.\"\n\n#, elixir-autogen\nmsgid \"transport.data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Legal Information\"\nmsgstr \"Mentions légales\"\n\nmsgid \"Publish a dataset\"\nmsgstr \"Publier ou mettre à jour des données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Documentation\"\nmsgstr \"Documentation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Blog\"\nmsgstr \"Blog\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Source code\"\nmsgstr \"Code source\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Service status\"\nmsgstr \"État des services\"\n\n#, elixir-autogen, elixir-format\nmsgid \"My account\"\nmsgstr \"Mon compte\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tools\"\nmsgstr \"Outils\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Accessibility: non-compliant\"\nmsgstr \"Accessibilité : non conforme\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Check the quality of a file or a feed\"\nmsgstr \"Vérifier la qualité d'un fichier ou d'un flux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regulation\"\nmsgstr \"Réglementation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Standards\"\nmsgstr \"Normes\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declaration of conformity\"\nmsgstr \"Déclaration de conformité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data exploration map\"\nmsgstr \"Carte d'exploration des données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI query generator\"\nmsgstr \"Générateur de requêtes SIRI\"\n\n#, elixir-autogen\nmsgid \"Budget\"\nmsgstr \"Budget\"\n\n#, elixir-autogen, elixir-format\nmsgid \"About\"\nmsgstr \"À propos\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our missions\"\nmsgstr \"Nos missions\"\n\n#, elixir-autogen, elixir-format\nmsgid \"National GTFS stops map\"\nmsgstr \"Carte nationale des arrêts GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare two GTFS files\"\nmsgstr \"Comparer deux GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer space\"\nmsgstr \"Espace producteur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"Espace réutilisateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Accèslibre Mobilités\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data\"\nmsgstr \"Données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Datasets\"\nmsgstr \"Toutes les données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Statistics\"\nmsgstr \"Statistiques\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuses\"\nmsgstr \"Réutilisations\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data I can't find\"\nmsgstr \"Des données que je ne trouve pas\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data producer\"\nmsgstr \"Producteur de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data reuser\"\nmsgstr \"Réutilisateur de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Did you read our <a href=\\\"%{url}\\\" target=\\\"_blank\\\">online documentation</a>? Your answer is likely there.\"\nmsgstr \"Avez-vous lu notre <a href=\\\"%{url}\\\" target=\\\"_blank\\\">documentation en ligne</a> ? Votre réponse est probablement présente.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"I am\"\nmsgstr \"Je suis\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Legal requirements\"\nmsgstr \"Des informations réglementaires\"\n\n#, elixir-autogen, elixir-format\nmsgid \"My question is about\"\nmsgstr \"Ma question est à propos\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other\"\nmsgstr \"Autre\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Question\"\nmsgstr \"Question\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Subject\"\nmsgstr \"Sujet\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Technical support\"\nmsgstr \"Un besoin de support technique\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The website transport.data.gouv.fr\"\nmsgstr \"Le site web transport.data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer information\"\nmsgstr \"Infos producteurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser information\"\nmsgstr \"Infos réutilisateurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} notification count\"\nmsgid_plural \"%{count} notifications count\"\nmsgstr[0] \"%{count} notification\"\nmsgstr[1] \"%{count} notifications\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New features\"\nmsgstr \"Nouvelles fonctionnalités\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Choose an option\"\nmsgstr \"Sélectionnez un choix\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fullscreen display\"\nmsgstr \"Afficher en plein écran\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Leave fullscreen display\"\nmsgstr \"Quitter le plein écran\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/download-link.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/errors.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\n#, elixir-autogen\nmsgid \"End of the road!\"\nmsgstr \"Erreur sur la ligne 500 !\"\n\n#, elixir-autogen\nmsgid \"Try to refresh the page in a few seconds, or contact us.\"\nmsgstr \"Essayez de recharger la page ou contactez-nous.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"404: Page not available\"\nmsgstr \"404: Page non disponible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Impossible to find a city with the insee code %{insee}\"\nmsgstr \"Impossible de trouver la commune avec le code insee %{insee}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Region %{insee} does not exist\"\nmsgstr \"La région %{insee} n'existe pas\"\n\n#, elixir-autogen, elixir-format\nmsgid \"400: Bad Request\"\nmsgstr \"400 : Requête incorrecte\"\n\n#, elixir-autogen, elixir-format\nmsgid \"401: Unauthorized\"\nmsgstr \"401 : Non autorisé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feature temporarily disabled\"\nmsgstr \"Fonctionnalité temporairement désactivée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"503: Service Unavailable\"\nmsgstr \"503 : Service non disponible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Department %{insee} does not exist\"\nmsgstr \"Le département %{insee} n'existe pas\"\n\n#, elixir-autogen, elixir-format\nmsgid \"EPCI %{insee} does not exist\"\nmsgstr \"L'EPCI %{insee} n'existe pas\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/espace-producteurs.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Adding a dataset guidelines\"\nmsgstr \"Consultez le guide de publication\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Before we can reference your mobility data on the National Access Point, you need to upload it on data.gouv.fr by publishing a new dataset.\"\nmsgstr \"Afin que nous puissions référencer vos données de mobilité sur le Point d'Accès National, vous devez les ajouter sur data.gouv.fr en publiant un nouveau jeu de données.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish a dataset\"\nmsgstr \"Publier un jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish a new dataset\"\nmsgstr \"Publier un nouveau jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publishing best practices\"\nmsgstr \"Les bonnes pratiques de publication\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Update a resource\"\nmsgstr \"Modifier une ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Useful tools and content\"\nmsgstr \"Des ressources pour vous aider\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate your datasets\"\nmsgstr \"Tester vos jeux de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New resource\"\nmsgstr \"Nouvelle ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See statistics\"\nmsgstr \"Voir les statistiques\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport proxy statistics\"\nmsgstr \"Statistiques du proxy Transport\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage notifications\"\nmsgstr \"Gérer vos notifications\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive helpful notifications about the data you publish.\"\nmsgstr \"Recevez des notifications pertinentes à propos des données que vous publiez.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications settings\"\nmsgstr \"Gestion des notifications\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive notifications\"\nmsgstr \"Recevoir des notifications\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate a file or a feed\"\nmsgstr \"Valider un fichier ou un flux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Before publishing, you can test your data online and check its validity.\"\nmsgstr \"Avant de mettre à jour ou publier des données, utilisez nos validateurs pour vous assurer qu'elles sont bien conformes.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get access to traffic statistics for your feeds handled by the transport.data.gouv.fr proxy.\"\nmsgstr \"Accéder aux statistiques de trafic pour vos flux gérés par le proxy de transport.data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your proxy statistics\"\nmsgstr \"Vos statistiques proxy\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete a resource\"\nmsgstr \"Supprimer une ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Update your logo\"\nmsgstr \"Mettre à jour votre logo\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload\"\nmsgstr \"Envoyer\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your current logo\"\nmsgstr \"Votre logo actuel\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your custom logo\"\nmsgstr \"Votre logo personnalisé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your logo has been received. It will be replaced soon.\"\nmsgstr \"Votre logo a bien été reçu. Il sera remplacé dans quelques instants.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Remove the custom logo\"\nmsgstr \"Supprimer le logo personnalisé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your custom logo has been removed.\"\nmsgstr \"Votre logo personnalisé a été supprimé.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"notifications are good for you\"\nmsgstr \"Les notifications vous aident à maintenir la qualité et l’accès à vos données, en vous alertant automatiquement en cas de problème. Elles vous assurent que vos usagers aient un accès ininterrompu à vos données de transport à travers leurs applications (calcul d’itinéraire…).\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage my notifications\"\nmsgstr \"Gérer vos notifications\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data expiration notification explanation\"\nmsgstr \"Vous êtes alerté à l'approche et après la date de fin du calendrier de fonctionnement.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unavailable resources notification explanation\"\nmsgstr \"Vous êtes alerté au bout de 6h consécutives pendant lesquelles votre fichier ne peut pas être téléchargé.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"validation errors notification explanation\"\nmsgstr \"Vous êtes alerté lorsque votre fichier ne respecte pas les spécifications des normes/standards/schémas correspondants.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Nobody else is subscribed to this notification\"\nmsgstr \"Aucun autre membre de votre organisation n’est abonné à cette notification\"\n\n#, elixir-autogen, elixir-format\nmsgid \"other subscribed contacts\"\nmsgstr \"Autres abonnés : %{names}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All notifications\"\nmsgstr \"Toutes les notifications\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Off\"\nmsgstr \"Désactivé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"On\"\nmsgstr \"Activé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Add a resource\"\nmsgstr \"Ajouter une ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete resource\"\nmsgstr \"Supprimer la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit resource\"\nmsgstr \"Modifier la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you want to publish an update to your data, please update an existing resource in the following list rather than publish a new one.\"\nmsgstr \"Si vous souhaitez mettre à jour vos données, veuillez modifier une ressource existante dans la liste ci-dessous plutôt qu’en créer une nouvelle.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit on data.gouv.fr\"\nmsgstr \"Modifier sur data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"full-edition-on-data-gouv-fr\"\nmsgstr \"Vous pouvez facilement mettre à jour sur cette page certains éléments de votre jeu de données. Pour avoir accès à l’édition complète, rendez-vous sur data.gouv.fr.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our team maintains a comprehensive documentation\"\nmsgstr \"Notre équipe tient à jour <a href=\\\"%{link}\\\", target=\\\"_blank\\\">une documentation détaillant comment publier et maintenir à jour des données</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage your resources\"\nmsgstr \"Administrer vos ressources\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Add the resource\"\nmsgstr \"Ajouter la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create it directly on data.gouv.fr\"\nmsgstr \"Créer directement la ressource sur data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Current file: %{current_file}\"\nmsgstr \"Fichier actuel : %{current_file}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete the resource\"\nmsgstr \"Supprimer la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Do you want to update the resource or delete it definitely?\"\nmsgstr \"Souhaitez-vous mettre à jour la ressource ou la supprimer définitivement ?\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Edit directly on data.gouv.fr\"\nmsgstr \"Éditer directement la ressource sur data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Example: Paris GTFS dataset\"\nmsgstr \"Exemple : Horaires au format GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Format\"\nmsgstr \"Format\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Give a link for the resource\"\nmsgstr \"Donner un lien vers la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"I'm not sure. Learn more.\"\nmsgstr \"Je ne suis pas sûr·e. En savoir plus.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 1: Directly add the resource\"\nmsgstr \"Option 1 : ajouter la ressource simplement\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 1: Directly update the resource\"\nmsgstr \"Option 1 : modifier la ressource simplement\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 2: for more options, create the resource on data.gouv.fr\"\nmsgstr \"Option 2 : pour plus d'options, créer la ressource sur data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Option 2: for more options, edit the resource on data.gouv.fr\"\nmsgstr \"Option 2 : pour plus d'options, éditer la ressource sur data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Update the resource\"\nmsgstr \"Modifier la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload a file\"\nmsgstr \"Envoyer un fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"or\"\nmsgstr \"ou\"\n\n#, elixir-autogen, elixir-format\nmsgid \"title\"\nmsgstr \"Titre\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Actions\"\nmsgstr \"Actions\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download reuser GTFS\"\nmsgstr \"Télécharger le GTFS réutilisateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"In order to help you improve the quality of your data, we have set up this space for sharing the modifications and improvements made by certain reusers.<br><br>You will thus be able to benefit from the work of reusers and better identify the differences, correct the errors and complete the missing information.<br><br>Below are the organizations that have played the game and shared their improved data as well as access to the difference report generated by our tool %{url}\"\nmsgstr \"Dans l’objectif de vous aider à améliorer la qualité des vos données, nous avons mis en place cet espace de repartage des modifications et d’améliorations réalisées par certains réutilisateurs.<br><br>Vous pourrez ainsi bénéficier du travail des réutilisateurs et mieux identifier les différences, corriger les erreurs et compléter les informations manquantes.<br><br>Voici ci-dessous les organisations qui ont joué le jeu et repartagé leur données améliorées ainsi que l’accès au rapport de différences généré par notre outil %{url}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Logo\"\nmsgstr \"Logo\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Organisation\"\nmsgstr \"Organisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser GTFS\"\nmsgstr \"GTFS réutilisateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser improved data\"\nmsgstr \"Repartage des données améliorées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare with my GTFS\"\nmsgstr \"Comparer avec mon GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Datasets of your organisation\"\nmsgstr \"Jeux de données de votre organisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage\"\nmsgstr \"Gérer\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer space\"\nmsgstr \"Espace producteur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset\"\nmsgstr \"Jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download statistics\"\nmsgstr \"Statistiques de téléchargements\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Downloads for %{year}\"\nmsgstr \"Téléchargements de l'année %{year}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get access to download statistics for your resources.\"\nmsgstr \"Accédez aux statistiques de téléchargements de vos ressources.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource\"\nmsgstr \"Ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your download statistics\"\nmsgstr \"Vos statistiques de téléchargements\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download proxy statistics\"\nmsgstr \"Télécharger les statistiques du proxy\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download download statistics\"\nmsgstr \"Télécharger les statistiques de téléchargements\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File: <strong>%{name}</strong>\"\nmsgstr \"Fichier : <strong>%{name}</strong>\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid file\"\nmsgstr \"Fichier invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No errors\"\nmsgstr \"Pas d'erreurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See the validation report\"\nmsgstr \"Voir le rapport de validation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start again\"\nmsgstr \"Essayer à nouveau\"\n\n#, elixir-autogen, elixir-format\nmsgid \"expiring_resource\"\nmsgstr \"Ressource arrivant à expiration\"\n\n#, elixir-autogen, elixir-format\nmsgid \"invalid_resource\"\nmsgstr \"Ressource invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unavailable_resource\"\nmsgstr \"Ressource indisponible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See the discussion\"\nmsgstr \"Voir la discussion\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unanswered_discussions\"\nmsgstr \"Discussions sans réponse\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discussion\"\nmsgstr \"Discussion\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Link\"\nmsgstr \"Lien\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unanswered discussions\"\nmsgstr \"Discussions sans réponse\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You have no unanswered discussions.\"\nmsgstr \"Vous n'avez aucune discussion sans réponse.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find below download statistics for your resources. Statistics can be downloaded at the bottom of the page.\"\nmsgstr \"Vous trouverez ci-dessous les données de téléchargement pour vos ressources. Les statistiques peuvent être téléchargées en bas de page.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See unanswered discussions\"\nmsgstr \"Voir les discussions sans réponse\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See unanswered discussions on your datasets.\"\nmsgstr \"Voir les discussions sans réponse sur vos jeux de données.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find here discussions that have not been closed and where the last person to reply is not a member of your organisation.\"\nmsgstr \"Vous trouverez ici les discussions qui n'ont pas été clôturées et où la dernière personne ayant répondu n'est pas membre de votre organisation.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start the validation\"\nmsgstr \"Démarrer la validation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Drop your file here or click to browse your local drive\"\nmsgstr \"Glissez un fichier ici ou cliquez pour parcourir vos répertoires locaux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Expired resource\"\nmsgstr \"Ressource expirée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"recent_discussions\"\nmsgstr \"Discussion récente\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discover new features\"\nmsgstr \"Découvrir les nouveautés\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New features available\"\nmsgstr \"Nouvelles fonctionnalités disponibles\"\n\n#, elixir-autogen, elixir-format\nmsgid \"recent_features\"\nmsgstr \"Nouvelles fonctionnalités\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find below proxy statistics for your resources. You can download detailed statistics in CSV format using the button above.\"\nmsgstr \"Vous trouverez ci-dessous les statistiques du proxy pour vos ressources. Vous pouvez télécharger les statistiques détaillées au format CSV en utilisant le bouton ci-dessus.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Proxy requests\"\nmsgstr \"Requêtes proxy\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Requests served by the proxy\"\nmsgstr \"Requêtes gérées par le proxy\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Requests served by upstream\"\nmsgstr \"Requêtes transmises à la source\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upstream requests\"\nmsgstr \"Requêtes source\"\n\n#, elixir-autogen, elixir-format\nmsgid \"View detailed statistics\"\nmsgstr \"Voir les statistiques détaillées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"over the last %{nb} days\"\nmsgstr \"sur les %{nb} derniers jours\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Important information regarding your resources\"\nmsgstr \"Informations importantes concernant vos ressources\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Information\"\nmsgstr \"Information\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The following information require your attention.\"\nmsgstr \"Les informations suivantes requièrent votre attention.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Available services\"\nmsgstr \"Services disponibles\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/explore.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data exploration map\"\nmsgstr \"Carte d'exploration des données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"gtfs-rt-explanation\"\nmsgstr \"Reprend la totalité des %{link}, et affiche les positions des véhicules (trains, bus, trams et plus). La donnée est mise à jour en temps réel, en fonction du rafraîchissement de chaque flux.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS-RT feeds referenced on this site\"\nmsgstr \"flux GTFS-RT référencés sur ce site\"\n\n#, elixir-autogen, elixir-format\nmsgid \"bnlc-explanation\"\nmsgstr \"Données issues du %{link} de la Base Nationale des lieux de covoiturage\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Carpooling areas national database\"\nmsgstr \"Base Nationale de Covoiturage (BNLC)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real time vehicle positions (GTFS-RT)\"\nmsgstr \"Position en temps-réel des vehicules (GTFS-RT)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgstr \"jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Execute\"\nmsgstr \"Exécuter\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Generate\"\nmsgstr \"Générer\"\n\n#, elixir-autogen, elixir-format\nmsgid \"HTTP headers\"\nmsgstr \"En-têtes HTTP\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI query\"\nmsgstr \"Requête SIRI\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI query generator\"\nmsgstr \"Générateur de requête SIRI\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI response\"\nmsgstr \"Réponse SIRI\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Endpoint URL\"\nmsgstr \"URL de l'API SIRI\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Requestor ref\"\nmsgstr \"Requestor ref\"\n\n#, elixir-autogen, elixir-format\nmsgid \"HTTP request body\"\nmsgstr \"Corps de la requête HTTP\"\n\n#, elixir-autogen, elixir-format\nmsgid \"HTTP response body\"\nmsgstr \"Corps de la réponse HTTP\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line References (comma separated list)\"\nmsgstr \"Références de Lignes (séparées par des virgules)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop Reference (only one)\"\nmsgstr \"Référence d'Arrêt (un seul)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Low emission zones database\"\nmsgstr \"Base nationale des Zones à Faibles Émissions (ZFE)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"lez-explanation\"\nmsgstr \"Données issues du %{link} de la Base nationale des Zones à Faibles Émissions. Les restrictions de circulation sont inclues dans la base.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Consolidated GTFS stops map\"\nmsgstr \"Carte consolidée des arrêts GTFS (beta)\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Consolidated GTFS stops map explanation\"\nmsgstr \"Cette carte consolide tous les GTFS référencés sur ce site. En beta, peut inclure des éléments expirés ou des doublons (voir %{github_issue_link}). La liste des arrêts est téléchargeable sur la page de ce <a href=\\\"%{gtfs_stops_dataset_path}\\\">jeu de données</a>. Il existe également une <a href=\\\"%{swagger_doc_path}\\\">API expérimentale</a> qui permet de rechercher les arrêts.<br>Vos retours sont les bienvenus.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"irve-explanation\"\nmsgstr \"Carte du %{link} consolidé des IRVE (données statiques).\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE map\"\nmsgstr \"Infrastructures de Recharge des Véhicules Électriques (IRVE)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GBFS stations\"\nmsgstr \"Stations pour véhicules en libre-service (VLS)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"gbfs-stations-explanation\"\nmsgstr \"Cette carte rassemble toutes les stations pour <a href=\\\"%{vehicles_sharing_datasets_link}\\\">les véhicules partagés</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Search a city\"\nmsgstr \"Rechercher une ville\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/feedback.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Send the feedback\"\nmsgstr \"Envoyer l’avis\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Why?\"\nmsgstr \"Pourquoi ?\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your email (optional)\"\nmsgstr \"Votre adresse e-mail (facultatif)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"What's your feedback on this page?\"\nmsgstr \"Qu’avez-vous pensé de cette page ?\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Leave your feedback\"\nmsgstr \"Laissez-nous votre avis\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Thanks for your feedback!\"\nmsgstr \"Merci d’avoir laissé votre avis !\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/gbfs_analyzer.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Detailed validation\"\nmsgstr \"Rapport de validation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Detected version\"\nmsgstr \"Version détectée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed Name\"\nmsgstr \"Nom du flux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feeds\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GeoJSONs\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Languages\"\nmsgstr \"Langages\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Metadata\"\nmsgstr \"Métadonnées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Number of detected errors\"\nmsgstr \"Nombre d'erreurs détectées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Timezone\"\nmsgstr \"Fuseau horaire\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validated version\"\nmsgstr \"Version validée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization\"\nmsgstr \"Visualisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"error message\"\nmsgstr \"Aucune analyse n'a pu être faite.</br> Le flux GBFS peut être indisponible ou l'adresse indiquée est incorrecte.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Link\"\nmsgstr \"Lien\"\n\n#, elixir-autogen, elixir-format\nmsgid \"validation was not performed\"\nmsgstr \"La validation n'a pas effectuée. Il peut y avoir une erreur fatale dans votre flux ou le validateur GBFS est temporairement indisponible.\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/gtfs-diff.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Job started\"\nmsgstr \"Début du traitement\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Computing diff for <code>%{file_name}</code>\"\nmsgstr \"Calcul des différences pour <code>%{file_name}</code>\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare\"\nmsgstr \"Comparer\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Drop your GTFS files here or click to browse your local drive\"\nmsgstr \"Glissez des fichiers GTFS ici ou cliquez pour parcourir vos répertoires locaux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Diff is a <a href=\\\"%{link}\\\">specification</a>\\n      created by transport.data.gouv.fr and aims at providing a simple and unified way to express differences between GTFS files\"\nmsgstr \"GTFS Diff est une <a href=\\\"%{link}\\\">spécification</a> proposée par transport.data.gouv.fr, dont le but est d'exprimer des différences entre fichiers GTFS d'une manière simple et unifiée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Diff is available for\"\nmsgstr \"Le GTFS Diff est disponible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS comparison with GTFS Diff\"\nmsgstr \"GTFS Diff : Comparaison de fichiers GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"<a href=\\\"%{spec}\\\">Read</a> the GTFS Diff specification to understand how differences between GTFS are expressed\"\nmsgstr \"Vous pouvez <a href=\\\"%{spec}\\\">lire la specification</a> GTFS Diff pour comprendre comment les différences entre les GTFS sont exprimées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"added\"\nmsgstr \"ajouté\"\n\n#, elixir-autogen, elixir-format\nmsgid \"deleted\"\nmsgstr \"supprimé\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"download\"\nmsgstr \"au téléchargement\"\n\n#, elixir-autogen, elixir-format\nmsgid \"updated\"\nmsgstr \"modifié\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Analyzing found differences…\"\nmsgstr \"Analyse des différences trouvées…\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} column\"\nmsgid_plural \"%{count} columns\"\nmsgstr[0] \"%{count} colonne\"\nmsgstr[1] \"%{count} colonnes\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} file\"\nmsgid_plural \"%{count} files\"\nmsgstr[0] \"%{count} fichier\"\nmsgstr[1] \"%{count} fichiers\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} row\"\nmsgid_plural \"%{count} rows\"\nmsgstr[0] \"%{count} ligne\"\nmsgstr[1] \"%{count} lignes\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Switch files\"\nmsgstr \"Échanger les fichiers\"\n\n#, elixir-autogen, elixir-format\nmsgid \"An error occurred while interpreting the results. Note that the report is still available as download. Error:\"\nmsgstr \"Une erreur est survenue en interprétant les résultats. Notez que le rapport est toujours disponible au téléchargement. Erreur :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start over\"\nmsgstr \"Recommencer\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"The GTFS file <code>%{gtfs_original_file_name_2}</code> has differences with the GTFS file <code>%{gtfs_original_file_name_1}</code>, as summarized below:\"\nmsgstr \"Le fichier GTFS <code>%{gtfs_original_file_name_2}</code> comporte les différences ci-dessous par rapport au fichier GTFS <code>%{gtfs_original_file_name_1}</code> :\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"The GTFS files <code>%{gtfs_original_file_name_2}</code> and <code>%{gtfs_original_file_name_1}</code> are similar.\"\nmsgstr \"Les fichier GTFS <code>%{gtfs_original_file_name_2}</code> et <code>%{gtfs_original_file_name_1}</code> sont similaires.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The <a href=\\\"%{gtfs_url_2}\\\">modified GTFS file</a> has differences with the <a href=\\\"%{gtfs_url_1}\\\">reference GTFS file</a>, as summarized below:\"\nmsgstr \"Le <a href=\\\"%{gtfs_url_2}\\\">fichier GTFS modifié</a> comporte les différences ci-dessous par rapport au <a href=\\\"%{gtfs_url_1}\\\">fichier GTFS de référence</a> :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The <a href=\\\"%{gtfs_url_2}\\\">modified GTFS file</a> and the <a href=\\\"%{gtfs_url_1}\\\">reference GTFS file</a> are similar.\"\nmsgstr \"Le <a href=\\\"%{gtfs_url_2}\\\">fichier GTFS modifié</a> et le <a href=\\\"%{gtfs_url_1}\\\">fichier GTFS de référence</a> sont similaires.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Modified GTFS\"\nmsgstr \"GTFS modifié\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reference GTFS\"\nmsgstr \"GTFS de référence\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cancel upload or remove file\"\nmsgstr \"Annuler le téléchargement ou supprimer le fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid file\"\nmsgstr \"Fichier invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Valid file\"\nmsgstr \"Fichier valide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Please upload some file above\"\nmsgstr \"Veuillez téléverser un fichier ci-dessus\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Analysis\"\nmsgstr \"Analyse\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Setup\"\nmsgstr \"Préparation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Results\"\nmsgstr \"Résultats\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Processing\"\nmsgstr \"Traitement\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File is too large, must be <%{max_file_size_mb}MB.\"\nmsgstr \"Fichier trop gros, doit peser moins de %{max_file_size_mb} Mo.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You have selected an unacceptable file type.\"\nmsgstr \"Le type de fichier sélectionné n’est pas utilisable.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You must select 2 files.\"\nmsgstr \"Vous devez sélectionner 2 fichiers.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Job aborted, the diff is taking too long (> %{minutes} min).\"\nmsgstr \"Traitement annulé, cela prend trop de temps (plus de %{minutes} minutes).\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Clear uploaded files\"\nmsgstr \"Effacer les fichiers téléchargés\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discarded files:\"\nmsgstr \"Fichiers ignorés :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"not enough memory\"\nmsgstr \"mémoire insuffisante\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Row changes have not been analyzed for this file. We suggest you dive into both GTFS files for more details.\"\nmsgstr \"Les différences de lignes n’ont pas été analysées pour ce fichier. Nous vous invitons à explorer directement dans les 2 GTFS si vous souhaitez plus de précisions.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Added %{count} column:\"\nmsgid_plural \"Added %{count} columns:\"\nmsgstr[0] \"%{count} colonne ajoutée :\"\nmsgstr[1] \"%{count} colonnes ajoutées :\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Deleted %{count} column:\"\nmsgid_plural \"Deleted %{count} columns:\"\nmsgstr[0] \"%{count} colonne supprimée :\"\nmsgstr[1] \"%{count} colonnes supprimées :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notable changes:\"\nmsgstr \"Changements notables :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Row changes:\"\nmsgstr \"Changements de lignes :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file added with %{count} new column:\"\nmsgid_plural \"file added with %{count} new columns:\"\nmsgstr[0] \"fichier ajouté avec %{count} nouvelle colonne :\"\nmsgstr[1] \"fichier ajouté avec %{count} nouvelles colonnes :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file deleted along with %{count} column:\"\nmsgid_plural \"file deleted along with %{count} columns:\"\nmsgstr[0] \"fichier supprimé avec %{count} colonne :\"\nmsgstr[1] \"fichier supprimé avec %{count} colonnes :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"non standard column\"\nmsgstr \"colonne non standard\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other change: %{unknown}\"\nmsgstr \"Autre changement : %{unknown}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Weelchair boarding\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Stops' names\"\nmsgstr \"Noms des arrêts\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Stops' positions\"\nmsgstr \"Positions des arrêts\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Comment\"\nmsgstr \"Commentaire\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Modified\"\nmsgstr \"Modifié\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Original\"\nmsgstr \"Original\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No row changes.\"\nmsgstr \"Aucun changement de ligne.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file added\"\nmsgstr \"fichier ajouté\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file deleted\"\nmsgstr \"fichier supprimé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route color\"\nmsgstr \"Couleur des routes\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Route text color\"\nmsgstr \"Couleur de texte des routes\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route long name\"\nmsgstr \"Nom de route long\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route short name\"\nmsgstr \"Nom de route court\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route type\"\nmsgstr \"Type de route\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Location type\"\nmsgstr \"Type de lieu\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Agency URL\"\nmsgstr \"URL de l’entité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip headsign\"\nmsgstr \"Panneau de destination d’un trajet\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"no color\"\nmsgstr \"pas de couleur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"no value\"\nmsgstr \"valeur manquante\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop %{stop_id} has been moved by %{distance}m\"\nmsgstr \"L’arrêt %{stop_id} a été déplacé de %{distance}m\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Wheelchair_boarding updated for stop %{stop_id}\"\nmsgstr \"L’information d’accessibilité wheelchair_boarding a été modifiée pour l’arrêt %{stop_id}\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Stop %{stop_id} has been renamed\"\nmsgstr \"L’arrêt %{stop_id} a été renommé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Color has been updated for route %{route_id}\"\nmsgstr \"La couleur de la route %{route_id} a été modifiée\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Text color has been updated for route %{route_id}\"\nmsgstr \"La couleur de texte de la route %{route_id} a été modifiée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route long name has been updated for route %{route_id}\"\nmsgstr \"Le nom long de la route %{route_id} a été modifié\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Route short name has been updated for route %{route_id}\"\nmsgstr \"Le nom court de la route %{route_id} a été modifié\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Route type has been updated for route %{route_id}\"\nmsgstr \"Le type de la route %{route_id} a été modifié\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Location type for stop %{stop_id} has been changed\"\nmsgstr \"Le type de lieu pour l’arrêt %{stop_id} a été modifié\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Agency URL for agency %{agency_id} has been changed\"\nmsgstr \"L’URL de l’entité %{agency_id} a été modifiée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Headsign for trip %{trip_id} has been changed\"\nmsgstr \"Le panneau de destination du trajet %{trip_id} a été modifié\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare the value of \"\nmsgid_plural \"Compare the values of \"\nmsgstr[0] \"Compare la valeur de \"\nmsgstr[1] \"Compare les valeurs de \"\n\n#, elixir-autogen, elixir-format\nmsgid \"Computes the distance between locations. Results are sorted by distance. Moves shorter than 1 m are filtered out.\"\nmsgstr \"Calcule la distance entre les positions. Les résultats sont triés par distance. Les ajustements de moins d’1 m sont masqués.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Full name of a route. This name is generally more descriptive than the `route_short_name` and often includes the route's destination or stop.\"\nmsgstr \"Nom complet de la route. Ce nom est usuellement plus descriptif que `route_short_name` et souvent inclue la destination de la route.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Indicates the type of transportation used on a route.\"\nmsgstr \"Indique le type de moyen de transport opéré sur une route.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Indicates whether wheelchair boardings are possible from the location.\"\nmsgstr \"Indique si l’embarquement des fauteuils roulants est possible depuis l’emplacement.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Legible color to use for text drawn against a background of `route_color`. Defaults to black (000000) when omitted or left empty.\"\nmsgstr \"Couleur lisible à utiliser pour le texte dessiné sur un fond de `route_color`. La valeur par défaut est noire (000000) lorsqu’elle est omise ou laissée vide.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Name of the location. The `stop_name` should match the agency's rider-facing name for the location as printed on a timetable, published online, or represented on signage. For translations into other languages, use `translations.txt`.\"\nmsgstr \"Nom de l’emplacement. Le `stop_name` doit correspondre au nom de l’entité destiné aux usagers de l’emplacement, tel qu’imprimé sur un horaire, publié en ligne ou représenté sur la signalisation. Pour les traductions dans d’autres langues, utilisez `translations.txt`.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route color designation that matches public facing material. Defaults to white (FFFFFF) when omitted or left empty. The color difference between `route_color` and `route_text_color` should provide sufficient contrast when viewed on a black and white screen.\"\nmsgstr \"Couleur de l’itinéraire utilisée sur les supports présentés au public. La valeur par défaut est blanc (000000) lorsqu’elle est omise ou laissée vide. La différence de couleur entre `route_color` et `route_text_color` devrait fournir un contraste suffisant lorsqu’elle est visualisée sur un écran noir et blanc.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Short name of a route. Often a short, abstract identifier (e.g., \\\"32\\\", \\\"100X\\\", \\\"Green\\\") that riders use to identify a route.\"\nmsgstr \"Nom court d’un itinéraire. Il s’agit souvent d’un identifiant court et abstrait (par exemple, « 32 », « 100X », « Vert ») que les usagers utilisent pour identifier un itinéraire.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Text that appears on signage identifying the trip's destination to riders. This field is recommended for all services with headsign text displayed on the vehicle which may be used to distinguish amongst trips in a route.\"\nmsgstr \"Texte qui apparaît sur la signalisation identifiant la destination du voyage aux passagers. Ce champ est recommandé pour tous les services avec une girouette affichée sur le véhicule qui peut être utilisé pour distinguer les trajets d'un itinéraire.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"URL of the transit agency.\"\nmsgstr \"URL de l’entité.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Agency fare URL for agency %{agency_id} has been changed\"\nmsgstr \"L’URL des tarifs de l’entité %{agency_id} a été modifiée\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Agency phone for agency %{agency_id} has been changed\"\nmsgstr \"Le téléphone de l’entité %{agency_id} a été modifié\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/gtfs-file-descriptions.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n != 1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"agency.txt\"\nmsgstr \"Entités dont le service est représenté dans ce jeu de données.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"areas.txt\"\nmsgstr \"Regroupement des zones géographiques.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"attributions.txt\"\nmsgstr \"Attributions des jeux de données.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"booking_rules.txt\"\nmsgstr \"Informations de réservation pour les services à la demande.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"calendar.txt\"\nmsgstr \"Calendriers et jours de fonctionnement du service.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"calendar_dates.txt\"\nmsgstr \"Exceptions pour les services définis dans le fichier calendar.txt.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_attributes.txt\"\nmsgstr \"Informations tarifaires pour les itinéraires par entité de transport.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_leg_join_rules.txt\"\nmsgstr \"Les règles de définition de deux ou plusieurs segments doivent être considérées comme un seul segment tarifaire effectif afin de correspondre aux règles du fichier fare_leg_rules.txt.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_leg_rules.txt\"\nmsgstr \"Règles tarifaires pour chaque segment du voyage.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_media.txt\"\nmsgstr \"Décrire les supports tarifaires utilisables pour l’utilisation des produits tarifaires.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_products.txt\"\nmsgstr \"Décrire les différents types de billets ou de tarifs pouvant être achetés par les usagers.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_rules.txt\"\nmsgstr \"Règles d’application des tarifs aux itinéraires.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_transfer_rules.txt\"\nmsgstr \"Règles tarifaires pour les correspondances entre segments de voyage.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"feed_info.txt\"\nmsgstr \"Métadonnées de l’ensemble de données, notamment l’éditeur, la version et les informations d’expiration.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"frequencies.txt\"\nmsgstr \"Intervalle (temps entre les trajets) pour un service basé sur l’intervalle ou une représentation condensée d’un service à horaire fixe.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"levels.txt\"\nmsgstr \"Niveaux au sein des stations.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"location_group_stops.txt\"\nmsgstr \"Règles d’attribution des arrêts à des groupes de lieux.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"location_groups.txt\"\nmsgstr \"Un groupe d’arrêts qui, ensemble, indiquent les endroits où un usager peut demander à être pris en charge ou déposé.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"networks.txt\"\nmsgstr \"Définit les identifiants de réseau qui s’appliquent aux règles tarifaires.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"pathways.txt\"\nmsgstr \"Cheminements piétons reliant les emplacements au sein des stations.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"rider_categories.txt\"\nmsgstr \"Définit les catégories d’usagers (par exemple, personnes âgées, étudiants).\"\n\n#, elixir-autogen, elixir-format\nmsgid \"route_networks.txt\"\nmsgstr \"Règles pour attribuer des lignes aux réseaux.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"routes.txt\"\nmsgstr \"Lignes de transport en commun. C’est un groupe de trajets présentés aux passagers comme un service unique.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"shapes.txt\"\nmsgstr \"Règles de cartographie des trajets des véhicules, parfois appelées tracés d’itinéraires.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stop_areas.txt\"\nmsgstr \"Règles d’attribution des arrêts aux zones.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stop_times.txt\"\nmsgstr \"Heures d’arrivée et de départ d’un véhicule pour chaque trajet.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stops.txt\"\nmsgstr \"Arrêts où les véhicules prennent en charge ou déposent des usagers. Définit également les stations et les entrées des stations.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"timeframes.txt\"\nmsgstr \"Périodes de date et d’heure à utiliser dans les règles tarifaires pour les tarifs dépendant de facteurs de date et d’heure.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transfers.txt\"\nmsgstr \"Règles d’établissement des correspondances aux points de correspondance entre les itinéraires.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"translations.txt\"\nmsgstr \"Conversions des valeurs des données clients.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"trips.txt\"\nmsgstr \"Courses pour chaque ligne. Une course est une séquence de deux arrêts ou plus survenant pendant une période donnée.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unknown-file\"\nmsgstr \"Fichier inconnu %{unknonw_file}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unknown\"\nmsgstr \"inconnu\"\n\n#, elixir-autogen, elixir-format\nmsgid \"aerial lift, suspended cable car\"\nmsgstr \"téléphérique, télécabine\"\n\n#, elixir-autogen, elixir-format\nmsgid \"bus\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"cable tram\"\nmsgstr \"tramway à traction par câble\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ferry\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"funicular\"\nmsgstr \"funiculaire\"\n\n#, elixir-autogen, elixir-format\nmsgid \"monorail\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"rail\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"subway, metro\"\nmsgstr \"métro\"\n\n#, elixir-autogen, elixir-format\nmsgid \"tram, streetcar, light rail\"\nmsgstr \"tramway\"\n\n#, elixir-autogen, elixir-format\nmsgid \"trolleybus\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"boarding area\"\nmsgstr \"zone d’embarquement\"\n\n#, elixir-autogen, elixir-format\nmsgid \"entrance/exit\"\nmsgstr \"entrée / sortie\"\n\n#, elixir-autogen, elixir-format\nmsgid \"generic node\"\nmsgstr \"noeud générique\"\n\n#, elixir-autogen, elixir-format\nmsgid \"station\"\nmsgstr \"gare\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stop or platform\"\nmsgstr \"arrêt ou quai\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Know more about this file.\"\nmsgstr \"En savoir plus sur ce fichier.\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/gtfs-transport-validator.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close stops\"\nmsgstr \"Arrêts trop proches\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Duplicate stops\"\nmsgstr \"Arrêts en double\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Duplicate object id\"\nmsgstr \"Identifiant d’objet en double\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Excessive speed between two stops\"\nmsgstr \"Vitesse excessive entre deux arrêts\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Extra file\"\nmsgstr \"Fichier superflus\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid archive\"\nmsgstr \"Archive ZIP invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid coordinates\"\nmsgstr \"Coordonnées invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid currency\"\nmsgstr \"Devise invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid language\"\nmsgstr \"Langue invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid reference\"\nmsgstr \"Référence invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid route type\"\nmsgstr \"Type de route invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid timezone\"\nmsgstr \"Fuseau horaire invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid transfer duration\"\nmsgstr \"Durée de correspondance invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid transfers\"\nmsgstr \"Correspondance invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid url\"\nmsgstr \"URL invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing coordinates\"\nmsgstr \"Coordonnées manquantes\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing name\"\nmsgstr \"Nom manquant\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing id\"\nmsgstr \"Identifiant manquant\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing language\"\nmsgstr \"Langue manquante\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing mandatory file\"\nmsgstr \"Fichier obligatoire manquant\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing price\"\nmsgstr \"Prix manquant\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing route name\"\nmsgstr \"Nom de route manquant\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing url\"\nmsgstr \"URL manquante\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Negative travel time between two stops\"\nmsgstr \"Temps de trajet négatif entre deux arrêts\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Null duration between two stops\"\nmsgstr \"Temps de trajet nul entre deux arrêts\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Slow\"\nmsgstr \"Vitesse entre deux arrêts très faible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unused stops\"\nmsgstr \"Arrêt inutilisé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Not compliant with the GTFS specification\"\nmsgstr \"Spécifications GTFS non respectées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Impossible to interpolate stop times\"\nmsgstr \"Interpolation de certains horaires impossible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ID is not ASCII-encoded\"\nmsgstr \"Identifiant non encodé en ASCII\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid stop location type in trip\"\nmsgstr \"Type d'arrêt invalide dans un trajet\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid stop parent\"\nmsgstr \"Arrêt parent invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid shape ID\"\nmsgstr \"Shape ID invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unused shape ID\"\nmsgstr \"Shape ID inutilisé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Duplicate stop sequence\"\nmsgstr \"Doublon de stop_sequence dans un trajet\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Files in a subfolder\"\nmsgstr \"Fichiers dans un sous-dossier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Negative stop duration\"\nmsgstr \"Temps d'arrêt négatif\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unusable trip\"\nmsgstr \"Trajet non utilisable\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Error\"\nmsgid_plural \"Errors\"\nmsgstr[0] \"%{value} erreur\"\nmsgstr[1] \"%{value} erreurs\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Fatal failure\"\nmsgid_plural \"Fatal failures\"\nmsgstr[0] \"%{value} échec irrécupérable\"\nmsgstr[1] \"%{value} échecs irrécupérables\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Information\"\nmsgid_plural \"Informations\"\nmsgstr[0] \"%{value} information\"\nmsgstr[1] \"%{value} informations\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Warning\"\nmsgid_plural \"Warnings\"\nmsgstr[0] \"%{value} avertissement\"\nmsgstr[1] \"%{value} avertissements\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Calendar files are empty. The service is never running.\"\nmsgstr \"Les fichiers de calendrier sont vides. Le service n'est jamais en exploitation.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Field agency_id should not be empty.\"\nmsgstr \"Le champ agency_id ne doit pas être vide.\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/helper.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \":\"\nmsgstr \" : \"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/landing-vls.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access free self-service vehicle data in France\"\nmsgstr \"Accédez gratuitement aux données des véhicules en libre-service en France (VLS)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A complex ecosystem\"\nmsgstr \"Un écosystème complexe\"\n\n#, elixir-autogen, elixir-format\nmsgid \"description\"\nmsgstr \"La mobilité partagée favorise une mobilité durable, économique et intermodale. En complément de l’offre de transports collectifs, retrouvez les données des vélos, trottinettes, scooters et voitures en libre-service.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A multiplicity of actors in France\"\nmsgstr \"Une multiplicité d’acteurs en France\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Different data exchange formats\"\nmsgstr \"Différents formats d’échanges de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Many types of services\"\nmsgstr \"De nombreux types de services\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Easily explore and reuse data from AOMs and their service providers\"\nmsgstr \"Explorez et réutilisez facilement les données des AOMs et de leurs prestataires\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A personalized space to stay informed\"\nmsgstr \"Un espace personnalisé pour rester informé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access the data\"\nmsgstr \"Accédez aux données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access your reuser space\"\nmsgstr \"Accédez à votre espace réutilisateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Coverage of services available by territory\"\nmsgstr \"Couverture des services disponibles par territoire\"\n\n#, elixir-autogen, elixir-format\nmsgid \"National coverage\"\nmsgstr \"Couverture nationale\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real-time data in GBFS format\"\nmsgstr \"Données en temps réel au format GBFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you have any questions, the transport.data.gouv.fr team is available to help you reuse this data.\"\nmsgstr \"Pour toute question, l’équipe de transport.data.gouv.fr est disponible pour vous accompagner à réutiliser ces données.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Autorités Organisatrices de la Mobilité: Mobility Organizing Authorities\"\nmsgstr \"Autorités Organisatrices de la Mobilité\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"GBFS resources\"\nmsgstr \"Flux GBFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Self-service vehicles\"\nmsgstr \"Véhicules en libre-service\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Directly access the data\"\nmsgstr \"Accédez directement aux données\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/netex-documentation.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The element `%{name}` is required.\"\nmsgstr \"L’élément `%{name}` est requis.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Section [%{title}](%{url}):\"\nmsgstr \"Section [%{title}](%{url}) :\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Sub-profile “%{title}”\"\nmsgstr \"Sous-profil « %{title} »\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/netex-validator.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Composite frame ligne mandatory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame arret resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame calendrier resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame horaire resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame ligne resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame reseau resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Latitude mandatory\"\nmsgstr \"Latitude requise\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Longitude mandatory\"\nmsgstr \"Longitude requise\"\n\n#, elixir-autogen, elixir-format\nmsgid \"UIC operating period\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Valid day bits\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Version any\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unspecified error\"\nmsgstr \"Erreur inconnue\"\n\n#, elixir-autogen, elixir-format\nmsgid \"XSD validation\"\nmsgstr \"Validation XSD\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"error\"\nmsgid_plural \"errors\"\nmsgstr[0] \"%{value} erreur\"\nmsgstr[1] \"%{value} erreurs\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"information\"\nmsgid_plural \"informations\"\nmsgstr[0] \"%{value} information\"\nmsgstr[1] \"%{value} informations\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"warning\"\nmsgid_plural \"warnings\"\nmsgstr[0] \"%{value} avertissement\"\nmsgstr[1] \"%{value} avertissements\"\n\n#, elixir-autogen, elixir-format\nmsgid \"no error\"\nmsgstr \"aucune erreur\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/notification_subscription.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"daily_new_comments\"\nmsgstr \"Commentaires ajoutés à vos favoris (récapitulatif quotidien)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset_with_error\"\nmsgstr \"Erreurs de validation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"datasets_switching_climate_resilience_bill\"\nmsgstr \"Suivi des jeux de données étant soumis à une obligation d'intégration\"\n\n#, elixir-autogen, elixir-format\nmsgid \"expiration\"\nmsgstr \"Expiration de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"new_dataset\"\nmsgstr \"Jeux de données référencés récemment\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resource_unavailable\"\nmsgstr \"Ressources indisponibles\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset_now_on_nap\"\nmsgstr \"Le jeu de données a été référencé sur le PAN\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resources_changed\"\nmsgstr \"Modification des ressources\"\n\n#, elixir-autogen, elixir-format\nmsgid \"periodic_reminder_producers\"\nmsgstr \"Rappels périodiques pour les producteurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"promote_producer_space\"\nmsgstr \"Mise en avant de l’Espace producteur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"promote_reuser_space\"\nmsgstr \"Mise en avant de l’Espace réutilisateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"warn_user_inactivity\"\nmsgstr \"Avertissement d’inactivité\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/page-dataset-details.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\nmsgid \"GTFS Validation\"\nmsgstr \"Validations GTFS\"\n\nmsgid \"Notices\"\nmsgstr \"Astuces\"\n\nmsgid \"Warnings\"\nmsgstr \"Avertissements\"\n\n#, elixir-autogen\nmsgid \"Posted on %{datetime}\"\nmsgstr \"le %{datetime}\"\n\n#, elixir-autogen\nmsgid \"Respond\"\nmsgstr \"Répondre\"\n\n#, elixir-autogen\nmsgid \"Begin a new conversation\"\nmsgstr \"Ouvrir une discussion\"\n\n#, elixir-autogen\nmsgid \"Title\"\nmsgstr \"Titre\"\n\nmsgid \"You need to be connected to post comments\"\nmsgstr \"Vous devez être identifié pour écrire un commentaire.\"\n\nmsgid \"Publish a modified version dataset\"\nmsgstr \"Publier une version modifiée du jeu de données\"\n\nmsgid \"Modified datasets\"\nmsgstr \"Jeux de données modifiés\"\n\nmsgid \"There is no linked dataset yet\"\nmsgstr \"Il n'y a pas encore de jeu de données lié\"\n\nmsgid \"Subscribe to dataset\"\nmsgstr \"S'abonner à ce jeu de données\"\n\nmsgid \"Unsubscribe to dataset\"\nmsgstr \"Se désabonner de ce jeu de données\"\n\n#, elixir-autogen\nmsgid \"Object ID\"\nmsgstr \"Identifiant\"\n\n#, elixir-autogen\nmsgid \"Object name\"\nmsgstr \"Nom de l’objet\"\n\n#, elixir-autogen\nmsgid \"Related object ID\"\nmsgstr \"Identifiant associé\"\n\nmsgid \"Severity\"\nmsgstr \"Gravité\"\n\nmsgid \"Fatal\"\nmsgstr \"Fatale\"\n\nmsgid \"Error\"\nmsgstr \"Erreur\"\n\nmsgid \"Warning\"\nmsgstr \"Avertissement\"\n\nmsgid \"Notice\"\nmsgstr \"Information\"\n\nmsgid \"UnusedStop\"\nmsgstr \"Arrêt inutilisé\"\n\nmsgid \"Slow\"\nmsgstr \"Véhicule très lent entre deux arrêts\"\n\nmsgid \"ExcessiveSpeed\"\nmsgstr \"Véhicule très rapide entre deux arrêts\"\n\nmsgid \"NegativeTravelTime\"\nmsgstr \"Durée de trajet négative\"\n\nmsgid \"CloseStops\"\nmsgstr \"Arrêts très proches\"\n\nmsgid \"NullDuration\"\nmsgstr \"Durée de trajet nulle\"\n\nmsgid \"InvalidReference\"\nmsgstr \"Référence vers un objet inexistant\"\n\nmsgid \"InvalidArchive\"\nmsgstr \"Impossible d’ouvrir l’archive GTFS\"\n\nmsgid \"MissingRouteName\"\nmsgstr \"Nom de route manquant\"\n\nmsgid \"MissingId\"\nmsgstr \"Identifiant manquant\"\n\nmsgid \"MissingCoordinates\"\nmsgstr \"Coordonnées manquantes\"\n\nmsgid \"MissingName\"\nmsgstr \"Nom manquant\"\n\nmsgid \"InvalidCoordinates\"\nmsgstr \"Coordonnées manquantes\"\n\nmsgid \"InvalidRouteType\"\nmsgstr \"Type de route invalide\"\n\n#, elixir-autogen\nmsgid \"You need to be connected to start a discussion\"\nmsgstr \"Vous devez être identifié pour commencer une discussion.\"\n\n#, elixir-autogen\nmsgid \"Answer published\"\nmsgstr \"Réponse publiée\"\n\n#, elixir-autogen\nmsgid \"New discussion started\"\nmsgstr \"Nouvelle discussion commencée\"\n\n#, elixir-autogen\nmsgid \"Unable to publish the answer\"\nmsgstr \"Impossible de publier la réponse\"\n\n#, elixir-autogen\nmsgid \"Unable to start a new discussion\"\nmsgstr \"Impossible de commencer une nouvelle discussion\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start a new discussion\"\nmsgstr \"Initier une nouvelle discussion\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See on data.gouv.fr\"\nmsgstr \"Voir sur data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Details\"\nmsgstr \"Détails\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Website\"\nmsgstr \"Site internet\"\n\n#, elixir-autogen, elixir-format\nmsgid \"tags: \"\nmsgstr \"Mots-clefs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Outdated\"\nmsgstr \"Périmé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Community resources\"\nmsgstr \"Ressources communautaires\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuses\"\nmsgstr \"Réutilisations\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Licence\"\nmsgstr \"Licence\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You're using this dataset? %{a_start}Send an email!%{a_end}\"\nmsgstr \"Vous réutilisez ce jeu de données ? %{a_start}Envoyez-nous un message%{a_end} afin que l’on puisse en discuter et mettre en avant votre réutilisation.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Display more\"\nmsgstr \"Voir plus\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Display less\"\nmsgstr \"Voir moins\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Log in\"\nmsgstr \"Identifiez-vous\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No error detected\"\nmsgstr \"Pas d'erreur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset has been removed from data.gouv.fr\"\nmsgstr \"Ce jeu de données a été supprimé de data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Backed up resources\"\nmsgstr \"Ressources historisées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{start} to %{end}\"\nmsgstr \"%{start} au %{end}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Format\"\nmsgstr \"Format\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publication date\"\nmsgstr \"Date de publication\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validity period\"\nmsgstr \"Période de validité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File\"\nmsgstr \"Fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get details about this dataset via an %{start_link}API call%{end_link}\"\nmsgstr \"Récupérer des détails sur ce jeu de données via un %{start_link}appel à l'API%{end_link}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgstr \"jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resources\"\nmsgstr \"Ressources\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization\"\nmsgstr \"Visualisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data type\"\nmsgstr \"Type de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Covered area\"\nmsgstr \"Couverture spatiale\"\n\n#, elixir-autogen, elixir-format\nmsgid \"during validation\"\nmsgstr \"lors de la validation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download\"\nmsgstr \"Télécharger\"\n\n#, elixir-autogen, elixir-format\nmsgid \"details\"\nmsgstr \"détails\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resource format\"\nmsgstr \"format de la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"real-time\"\nmsgstr \"temps réel\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real-time visualization of \"\nmsgstr \"Visualisation temps-réel de \"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization of the resource\"\nmsgstr \"Visualisation de la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Features available in the resource:\"\nmsgstr \"Données présentes dans la ressource :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unavailable resources\"\nmsgstr \"Ressources non disponibles\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Up to date\"\nmsgstr \"À jour\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Not\"\nmsgstr \"Non\"\n\n#, elixir-autogen, elixir-format\nmsgid \"available\"\nmsgstr \"disponible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuses are temporarily unavailable\"\nmsgstr \"Les réutilisations sont temporairement indisponibles\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource declared schema\"\nmsgstr \"La ressource déclare utiliser ce schéma\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Version %{version}\"\nmsgstr \"Version %{version}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Past versions of the dataset resources are available in the %{link} section.\"\nmsgstr \"Des versions précédentes des ressources de ce jeu de données sont disponibles dans la section %{link}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"time to live (%{feed})\"\nmsgstr \"durée de vie (%{feed})\"\n\n#, elixir-autogen, elixir-format\nmsgid \"download availability over the last %{nb} days\"\nmsgstr \"disponibilité au téléchargement durant les %{nb} derniers jours\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download availability\"\nmsgstr \"Disponibilité au téléchargement\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more\"\nmsgstr \"En savoir plus\"\n\n#, elixir-autogen, elixir-format\nmsgid \"availability-test-explanations\"\nmsgstr \"Nous testons la disponibilité de cette ressource au téléchargement toutes les heures, en effectuant une requête HTTP de type <code class=\\\"inline\\\">HEAD</code> dont le temps de réponse doit être inférieur à 5 secondes. Si nous détectons une indisponibilité, nous effectuons un nouveau test toutes les 10 minutes, jusqu'à ce que la ressource soit à nouveau disponible.<br><br>Pour les flux SIRI et SIRI Lite, nous effectuons une requête HTTP de type <code class=\\\"inline\\\">GET</code> : nous considérons une réponse avec un code 401 ou 405 comme étant disponible. En cas d'erreur 500, nous considèrerons que le flux est indisponible, sauf si il semble contenir du SOAP.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unknown\"\nmsgstr \"inconnue\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Additional service\"\nmsgstr \"Service supplémentaire\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Between %{start} and %{end}\"\nmsgstr \"Du %{start} au %{end}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Detour\"\nmsgstr \"Déviation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"From %{start}\"\nmsgstr \"À partir du %{start}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Modified service\"\nmsgstr \"Service modifié\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No service\"\nmsgstr \"Pas de service\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other effect\"\nmsgstr \"Autre effet\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reduced service\"\nmsgstr \"Service réduit\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"See details\"\nmsgstr \"Voir le détail\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Service alerts\"\nmsgstr \"<span lang=\\\"en\\\"><i>Service alerts</i></span> (infos trafic)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop moved\"\nmsgstr \"Arrêt déplacé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unknown effect\"\nmsgstr \"Effet inconnu\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Until %{end}\"\nmsgstr \"Jusqu'au %{end}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Significant delays\"\nmsgstr \"Retards importants\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS-RT feed content\"\nmsgstr \"Contenu du flux GTFS-RT\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Copy to clipboard\"\nmsgstr \"Copier dans le presse-papier\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Here is a display of service alerts contained in this feed at %{date}.\"\nmsgstr \"Voici un aperçu des informations de trafic présentes dans ce flux le %{date}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See full payload\"\nmsgstr \"Voir le contenu du flux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not decode the GTFS-RT feed.\"\nmsgstr \"Impossible de décoder le flux GTFS-RT\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Decoded GTFS-RT feed\"\nmsgstr \"Flux GTFS-RT décodé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The GTFS-RT feed should be accessible over HTTP, without authentication and use the Protobuf format.\"\nmsgstr \"Le flux GTFS-RT doit être accessible en HTTP, sans authentification et utiliser le format Protobuf.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Here is the decoded GTFS-RT feed Protobuf at %{date}. You can look at <a href=\\\"%{link}\\\" target=\\\"_blank\\\">the GTFS-RT documentation</a>.\"\nmsgstr \"Voici le flux GTFS-RT décodé au format Protobuf le %{date}. Vous pouvez consulter <a href=\\\"%{link}\\\" target=\\\"_blank\\\">la documentation GTFS-RT</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Entities\"\nmsgstr \"Entités\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Entities present in this feed at %{date}.\"\nmsgstr \"Entités présentes dans ce flux le %{date}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Entities seen in the last %{nb} days.\"\nmsgstr \"Entités présentes dans ce flux lors des %{nb} derniers jours.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Documentation\"\nmsgstr \"Documentation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reusers can share in this section edits made on resources%{odbl_text}. <a href=\\\"%{datagouv_link}\\\" target=\\\"_blank\\\">Publish your own ressource</a> on data.gouv.fr or <a href=\\\"%{doc_link}\\\" target=\\\"_blank\\\">browse our documentation.</a>\"\nmsgstr \"Les réutilisateurs peuvent partager dans cette section les modifications apportées à une ressource%{odbl_text}. <a href=\\\"%{datagouv_link}\\\" target=\\\"_blank\\\">Publiez votre ressource</a> sur data.gouv.fr ou <a href=\\\"%{doc_link}\\\" target=\\\"_blank\\\">consultez la documentation.</a>\"\n\n#, elixir-autogen, elixir-format\nmsgid \", in accordance with the share-alike clause (article 4.4) of <a href=\\\"%{doc_link}\\\" target=\\\"_blank\\\">the ODbL License</a>\"\nmsgstr \", conformément à la clause de partage à l’identique (article 4.4) de la <a href=\\\"%{doc_link}\\\" target=\\\"_blank\\\">licence ODbL</a>\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed decoding failed\"\nmsgstr \"Le décodage du flux a échoué\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Specific usage conditions\"\nmsgstr \"Conditions Particulières d'utilisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"and \"\nmsgstr \"et \"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producers can share in this section design guidelines, documentation, etc. Use the <a href=\\\"%{url}\\\" target=\\\"_blank\\\">documentation type</a> on data.gouv.fr.\"\nmsgstr \"Les producteurs peuvent partager dans cette section : charte graphique, documentation, etc. Utilisez <a href=\\\"%{url}\\\" target=\\\"_blank\\\">le type documentation</a> sur data.gouv.fr.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resources with a schema\"\nmsgstr \"Ressources avec schéma\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Browse the API\"\nmsgstr \"Lien vers l'API\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The <a href=\\\"%{link}\\\" target=\\\"_blank\\\">timestamp field</a> appears to be too old compared to the current time: the delay is %{seconds} seconds. Try to update your feed at most every 30 seconds.\"\nmsgstr \"Le <a href=\\\"%{link}\\\">champ timestamp</a> contient une valeur ancienne par rapport à la date courante : l'écart est de %{seconds} secondes. Essayez de mettre à jour le flux toutes les 30 secondes au plus.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Displaying the last %{nb} backed up resources.\"\nmsgstr \"Affiche les %{nb} dernières ressources historisées.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download history details\"\nmsgstr \"Télécharger les ressources historisées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data published by\"\nmsgstr \"Données publiées par\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset has been archived from data.gouv.fr on %{date}\"\nmsgstr \"Ce jeu de données a été archivé de data.gouv.fr le %{date}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Try me!\"\nmsgstr \"Essayez-moi !\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real-time data\"\nmsgstr \"Données temps réel\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Static data\"\nmsgstr \"Données statiques\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Accessibility issue\"\nmsgstr \"Problème d'accessibilité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No effect\"\nmsgstr \"Pas d'impact\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cannot determine the relevant GTFS file to use to perform a GTFS-RT validation.\"\nmsgstr \"Impossible de déterminer le fichier GTFS à utiliser pour effectuer une validation du GTFS-RT.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS file to use with the GTFS-RT feed\"\nmsgstr \"Fichier GTFS à utiliser avec le flux GTFS-RT\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Related resources\"\nmsgstr \"Ressources associées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"OSM community guidelines\"\nmsgstr \"Règles de la communauté OSM\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Date\"\nmsgstr \"Date\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notification reason\"\nmsgstr \"Motif de notification\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications sent\"\nmsgstr \"Notifications envoyées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you are a data producer, you can <a href=\\\"%{url}\\\" target=\\\"_blank\\\">manage how you receive these notifications</a> from your Producer section.\"\nmsgstr \"Si vous êtes producteur de données, vous pouvez <a href=\\\"%{url}\\\" target=\\\"_blank\\\">personnaliser ces notifications</a> depuis votre Espace producteur.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr automatically sends notifications to data producers in order to improve the quality of data. The following notifications have been sent in the last %{nb} days.\"\nmsgstr \"transport.data.gouv.fr envoie automatiquement des notifications au producteur du jeu de données afin d'en améliorer la qualité. Les notifications suivantes ont été envoyées au cours des %{nb} derniers jours.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"loading discussions...\"\nmsgstr \"chargement des discussions...\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This transport service operates seasonally. The associated resources may be outdated depending on the time of year. Contact the data producer through Discussions for more information.\"\nmsgstr \"Le service de transport de ce jeu de donnée ne fonctionne pas toute l'année et les ressources associées peuvent être périmées selon la période de l'année. Nous vous invitons à contacter le producteur via les discussions pour plus d'information.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data producer\"\nmsgstr \"Producteur de la donnée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Respond and close\"\nmsgstr \"Répondre et clore\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Quality indicators\"\nmsgstr \"Indicateurs qualité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Latest quality indicators\"\nmsgstr \"Derniers indicateurs qualité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr computes quality indicators daily to assess the quality of the published data. <i class=\\\"fa fa-external-link-alt\\\"></i> <a href=\\\"%{doc_url}\\\" target=\\\"_blank\\\">Learn more</a>.\"\nmsgstr \"transport.data.gouv.fr calcule des indicateurs qualité de manière quotidienne afin de mieux appréhender les données publiées. <i class=\\\"fa fa-external-link-alt\\\"></i> <a href=\\\"%{doc_url}\\\" target=\\\"_blank\\\">En savoir plus</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Description\"\nmsgstr \"Description\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare attributes\"\nmsgstr \"Attributs tarifaires\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare rules\"\nmsgstr \"Règles tarifaires\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File or field\"\nmsgstr \"Fichier ou champ\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line color\"\nmsgstr \"Couleur de la ligne\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line long name\"\nmsgstr \"Nom long de la ligne\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line short name or line number\"\nmsgstr \"Nom court ou n° de la ligne\"\n\n#, elixir-autogen, elixir-format\nmsgid \"On-demand transport\"\nmsgstr \"Transport à la demande\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Quantity\"\nmsgstr \"Quantité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Status\"\nmsgstr \"Statut\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop accessibility\"\nmsgstr \"Accessibilité de l'arrêt\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The possibility of carrying a bicycle in the vehicle\"\nmsgstr \"Possibilité d’emport de vélo\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transfers\"\nmsgstr \"Correspondances\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip accessibility\"\nmsgstr \"Accessibilité de la course\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip headsign\"\nmsgstr \"Destination de la course\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip shapes\"\nmsgstr \"Tracés d'itinéraires\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The following table displays if the file/field is present in the GTFS.\"\nmsgstr \"Le tableau ci-dessous affiche si le fichier ou le champ est présent dans le GTFS.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Availability rate\"\nmsgstr \"Taux de disponibilité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"latest-content-modification-label\"\nmsgstr \"Dernière modification du contenu\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset is hidden\"\nmsgstr \"Ce jeu de données est masqué\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your comment\"\nmsgstr \"Votre commentaire\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset added to your favorites! Personalise your settings from your <a href=\\\"%{url}\\\" target=\\\"_blank\\\">reuser space</a>.\"\nmsgstr \"Jeu de données ajouté à vos favoris ! Personnalisez vos préférences depuis votre <a href=\\\"%{url}\\\" target=\\\"_blank\\\">espace réutilisateur</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"<a href=\\\"%{url}\\\" target=\\\"_blank\\\">Log in or sign up</a> to benefit from dataset services.\"\nmsgstr \"<a href=\\\"%{url}\\\" target=\\\"_blank\\\">Inscrivez-vous ou connectez-vous</a> pour bénéficier des services liés aux jeux de données.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage your dataset\"\nmsgstr \"Gérez votre jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Follow this dataset\"\nmsgstr \"Suivre ce jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage services for this dataset\"\nmsgstr \"Gérez les services liés à ce jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The producer requires authentication to access the data. Consequently, some features on transport.data.gouv.fr, such as data availability, validations, and metadata, are unavailable for this dataset. Please follow the producer's instructions to gain access to the data.\"\nmsgstr \"Le producteur requiert une authentification pour accéder aux données. En conséquence, certaines fonctionnalités de transport.data.gouv.fr, comme la disponibilité des données, les rapports de validations et les métadonnées sont indisponibles pour ce jeu de données. Veuillez suivre les instructions du producteur pour obtenir l'accès aux données.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data under the responsibility of\"\nmsgstr \"Données sous la responsabilité de\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This unofficial dataset is provided experimentally. Do not use it for travel information purpose.\"\nmsgstr \"Ce jeu de données non officiel est publié à titre expérimental. Veuillez ne pas le réutiliser à des fins d’information voyageur.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regulator\"\nmsgstr \"Régulateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"latest-content-modification-popover\"\nmsgstr \"Nous vérifions quotidiennement à la source si le contenu a changé. Cette date peut différer de celle indiquée sur data.gouv.fr car les vérifications de transport.data.gouv.fr portent sur le contenu lui-même.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare media\"\nmsgstr \"Supports tarifaires\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare products\"\nmsgstr \"Produits tarifaires\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport offers\"\nmsgstr \"Offres de transport\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Respond or close\"\nmsgstr \"Répondre ou clore\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This discussion is closed\"\nmsgstr \"Cette discussion est fermée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find below reuses created by individuals or organizations based on this dataset.\"\nmsgstr \"Vous trouverez dessous les réutilisations créées par des personnes ou des organisations en utilisant ce jeu de données.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Download as GeoJSON\"\nmsgstr \"Télécharger au format GeoJSON\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Those resources are listed by the provider but are unreachable for now. <a href=\\\"%{url}\\\">Learn more</a>.\"\nmsgstr \"Ces ressources sont référencées, mais ne semblent pas accessibles pour le moment. <a href=\\\"%{url}\\\">En savoir plus</a>.\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/page-index.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they’re tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\nmsgid \"Publish my data\"\nmsgstr \"Publier des données\"\n\nmsgid \"Reuse data\"\nmsgstr \"Réutiliser des données\"\n\nmsgid \"Subscribe to our email newsletter to receive update\"\nmsgstr \"Pour être informé·e des nouveautés, inscrivez-vous à notre newsletter :\"\n\n#, elixir-autogen\nmsgid \"Subscribe\"\nmsgstr \"Inscription\"\n\nmsgid \"Join us on\"\nmsgstr \"Rejoignez-nous sur\"\n\nmsgid \"Download presentation\"\nmsgstr \"Télécharger la présentation\"\n\nmsgid \"Publication guide\"\nmsgstr \"Guide de publication\"\n\n#, elixir-autogen\nmsgid \"Find dataset\"\nmsgstr \"Trouvez un jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"title\"\nmsgstr \"Le Point d’Accès National aux données de transport\"\n\n#, elixir-autogen, elixir-format\nmsgid \"subtitle\"\nmsgstr \"Rassembler les données de toute l’offre de mobilité à travers la France\"\n\n#, elixir-format, elixir-autogen\nmsgid \"dataset\"\nmsgid_plural \"datasets\"\nmsgstr[0] \"%{count} jeu de données\"\nmsgstr[1] \"%{count} jeux de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See newly added datasets\"\nmsgstr \"Voir les jeux de données récents\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more\"\nmsgstr \"En savoir plus\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Scheduled public transit\"\nmsgstr \"Pour les horaires théoriques des transports en commun :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See more statistics\"\nmsgstr \"Voir plus de statistiques et de cartes\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Territories covered\"\nmsgstr \"<abbr title=\\\"Autorité organistatrice des mobilités\\\">AOMs</abbr> couvertes\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Territory coverage\"\nmsgstr \"Couverture du territoire\"\n\n#, elixir-autogen, elixir-format\nmsgid \"covered\"\nmsgstr \"couverte\"\n\n#, elixir-autogen, elixir-format\nmsgid \"out of\"\nmsgstr \"sur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"of the population\"\nmsgstr \"de la population\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Are you producing transport data ?\"\nmsgstr \"Vous produisez des données de transport ?\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Who is reusing data from\"\nmsgstr \"Qui réutilise des données de\"\n\n#, elixir-autogen, elixir-format\nmsgid \"producer description\"\nmsgstr \"<abbr title=\\\"Autorité organistatrice des mobilités\\\">AOMs</abbr>, opérateurs de transport… : vous êtes tenus de publier vos données relatives à l’information voyageur sur le Point d’Accès National. L’équipe de transport.data.gouv.fr vous accompagne dans leur mise en qualité, mise en conformité et publication.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"reusers list description\"\nmsgstr \"Un nombre important de réutilisateurs divers et variés utilisent les données référencées sur le PAN pour notre plus grand plaisir ! Certains d'entre eux mettent en avant leur services, applications, projets, études… sur notre page <a href=\\\"%{url}\\\">Réutilisations déclarées</a>. Soyez les prochains !\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Ask for help\"\nmsgstr \"Demander de l’aide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close the form\"\nmsgstr \"Fermer le formulaire\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close the menu\"\nmsgstr \"Fermer le menu\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Search for data for a region, a city, a network…\"\nmsgstr \"Cherchez les données d’une région, d’une ville, d’un réseau…\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Datasets\"\nmsgstr \"Jeux de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Use our APIs\"\nmsgstr \"Utiliser nos API\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You can also\"\nmsgstr \"Vous pouvez également\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A freely accessible service\"\nmsgstr \"Une plateforme GRATUITE et librement ACCESSIBLE\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ALL French open mobility data at the same place\"\nmsgstr \"Un catalogue EXHAUSTIF de données ouvertes\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Available data by theme\"\nmsgstr \"Les données disponibles par thème\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Online tools to ease data reuses\"\nmsgstr \"Des outils pour faciliter leur réutilisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Selected formats\"\nmsgstr \"Formats homogènes\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Selected licences\"\nmsgstr \"Licences harmonisées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"facilitators list description, %{link}\"\nmsgstr \"Voir la %{link} de nos facilitateurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"full list\"\nmsgstr \"liste complète\"\n\n#, elixir-autogen, elixir-format\nmsgid \"They help us achieve our mission\"\nmsgstr \"Ils nous aident dans notre mission\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more about our missions\"\nmsgstr \"Découvrez les missions que nous menons\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer space\"\nmsgstr \"Espace producteur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"Espace réutilisateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate your data\"\nmsgstr \"Valider vos données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport offers available\"\nmsgstr \"Offres de transport disponibles\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Open the menu\"\nmsgstr \"Fermer le menu\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/page-login.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\n#, elixir-autogen\nmsgid \"transport.data.gouv.fr belongs to the data.gouv.fr network, and share the same user account\"\nmsgstr \"transport.data.gouv.fr est un site affilié à data.gouv.fr, les deux sites utilisent le même compte\"\n\n#, elixir-autogen\nmsgid \"After having clicked this button, you should click on 'accepter' to authorise transport.data.gouv.fr to access your data.gouv.fr account details\"\nmsgstr \"Après avoir cliqué le bouton, vous devrez cliquer sur « accepter » pour autoriser transport.data.gouv.fr à utiliser votre compte data.gouv.fr\"\n\n#, elixir-autogen\nmsgid \"data.gouv.fr is the open platform for French public data\"\nmsgstr \"data.gouv.fr est la plateforme ouverte des données publiques françaises\"\n\n#, elixir-autogen\nmsgid \"Sign In with data.gouv.fr\"\nmsgstr \"Identification avec un compte data.gouv.fr\"\n\n#, elixir-autogen\nmsgid \"By clicking this button, you'll be able to create an account or use your existing data.gouv.fr account to log in\"\nmsgstr \"En cliquant sur le bouton ci-dessous vous allez créer un compte ou vous identifier avec votre compte data.gouv.fr\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/page-nouveautes.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New features\"\nmsgstr \"Nouvelles fonctionnalités\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/page-producteurs.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr help you publish your data\"\nmsgstr \"transport.data.gouv.fr vous aide à publier vos données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A number of administrations, companies and assocations use the French National Access Point to find mobility open-data in France.\"\nmsgstr \"De très nombreuses administrations, entreprises et associations utilisent le Point d'Accès National pour trouver des données sur la mobilité en France.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access your producer section\"\nmsgstr \"Accédez à votre espace producteur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Contact us\"\nmsgstr \"Une équipe disponible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data publishing guidelines\"\nmsgstr \"Des guides pour vous accompagner\"\n\n#, elixir-autogen, elixir-format\nmsgid \"For the users\"\nmsgstr \"Pour les usagers\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Go to transport.data.gouv.fr blog\"\nmsgstr \"Consultez le blog de transport.data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Help users find and use your data by following our publications guidelines.\"\nmsgstr \"Garantissez la bonne découvrabilité de vos données en respectant des normes de publication.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Join the transport.data.gouv.fr community and stay informed!\"\nmsgstr \"Suivez et participez à l'actualité de la communauté transport.data.gouv.fr !\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Online validation tools\"\nmsgstr \"Des outils pour valider la qualité de vos données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our blog\"\nmsgstr \"Notre blog\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our reusers create applications allowing people to better use the mobility resources available around them.\"\nmsgstr \"Nos réutilisateurs développent des applications permettant aux usagers des services de mobilités de se repérer dans toute l'offre disponible sur leur territoire.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Read here a summary of those obligations\"\nmsgstr \"Retrouvez ici une synthèse de ces obligations\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Read our guidelines\"\nmsgstr \"Guides de publication de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Read tutorials and users testimonies\"\nmsgstr \"Notre journal où l'on trouve des tutoriels, des exemples de réutilisations, des retours d'expérience…\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regulatory obligations\"\nmsgstr \"Vos obligations\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stay informed of the National Access Point latest news and upcoming functionalities.\"\nmsgstr \"Inscrivez-vous à la newsletter et recevez les dernières nouvelles du Point d'Accès National ainsi que des chantiers en cours.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The newsletter\"\nmsgstr \"La newsletter\"\n\n#, elixir-autogen, elixir-format\nmsgid \"To log in, you will be redirected to data.gouv.fr, the open platform for French public data\"\nmsgstr \"Pour vous identifier vous allez être redirigé vers data.gouv.fr, la plateforme ouverte des données publiques françaises.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Users want quality data. Validate online GTFS files, GBFS feeds or any data following French national schemas.\"\nmsgstr \"Les données de bonne qualité sont réutilisées. Validez des données GTFS, des flux GBFS ou des données respectant des schémas nationaux grâce à nos outils.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Whether you are Autorité organisatrice de mobilité, délégataire de service public, or collectivité territoriale, you may be concerned by the laws loi pour une république numérique, la Loi Orientation des Mobilités and the european reglementation.\"\nmsgstr \"Que vous soyez Autorité Organisatrice des Mobilités, délégataire de service public ou collectivité territoriale, vous pouvez être concerné par la Loi pour une république Numérique, la Loi Orientation des Mobilités et le Réglement européen.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Welcome!\"\nmsgstr \"Bienvenue !\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr is affiliated with data.gouv.fr, the open platform for French public data\"\nmsgstr \"transport.data.gouv.fr est affilié à data.gouv.fr : la plateforme ouverte des données publiques françaises\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you any question, send us an email and we'll be glad to help you!\"\nmsgstr \"Si vous avez des questions, contactez nous par email, nous serons heureux de vous aider !\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Why should you publish your data?\"\nmsgstr \"Pourquoi publier vos données ?\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Validate a file or a feed\"\nmsgstr \"Valider un fichier ou un flux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our social media accounts\"\nmsgstr \"Nos réseaux sociaux\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/page-shortlist.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\nmsgid \"Download\"\nmsgstr \"Télécharger\"\n\nmsgid \"Licence\"\nmsgstr \"Licence\"\n\nmsgid \"See on data.gouv.fr\"\nmsgstr \"Voir sur data.gouv.fr\"\n\nmsgid \"Territory\"\nmsgstr \"Territoire\"\n\n#, elixir-autogen\nmsgid \"Format\"\nmsgstr \"\"\n\nmsgid \"Status\"\nmsgstr \"État\"\n\nmsgid \"Invalid\"\nmsgstr \"Invalide\"\n\nmsgid \"Valid\"\nmsgstr \"Valide\"\n\nmsgid \"Valid datasets available\"\nmsgstr \"Jeux de données valides disponibles\"\n\nmsgid \"Last update\"\nmsgstr \"Dernière mise à jour\"\n\nmsgid \"Publication date\"\nmsgstr \"Date de publication\"\n\nmsgid \"Tags\"\nmsgstr \"Mots clefs\"\n\nmsgid \"Update frequency\"\nmsgstr \"Fréquence de mises à jour\"\n\nmsgid \"unknown\"\nmsgstr \"Inconnu\"\n\nmsgid \"punctual\"\nmsgstr \"Ponctuelle\"\n\nmsgid \"hourly\"\nmsgstr \"Toutes les heures\"\n\nmsgid \"fourTimesADay\"\nmsgstr \"Quatre fois par jour\"\n\nmsgid \"threeTimesADay\"\nmsgstr \"Trois fois par jour\"\n\nmsgid \"semidaily\"\nmsgstr \"Deux fois par jour\"\n\nmsgid \"daily\"\nmsgstr \"Quotidienne\"\n\nmsgid \"fourTimesAWeek\"\nmsgstr \"Quatre fois par semaine\"\n\nmsgid \"threeTimesAWeek\"\nmsgstr \"Trois fois par semaine\"\n\nmsgid \"semiweekly\"\nmsgstr \"Deux fois par semaine\"\n\nmsgid \"weekly\"\nmsgstr \"Hebdomadaire\"\n\nmsgid \"biweekly\"\nmsgstr \"Toutes les deux semaines\"\n\nmsgid \"threeTimesAMonth\"\nmsgstr \"Trois fois par mois\"\n\nmsgid \"semimonthly\"\nmsgstr \"Deux fois par mois\"\n\nmsgid \"monthly\"\nmsgstr \"Mensuelle\"\n\nmsgid \"bimonthly\"\nmsgstr \"Bimestrielle\"\n\nmsgid \"quarterly\"\nmsgstr \"Trimestrielle\"\n\nmsgid \"threeTimesAYear\"\nmsgstr \"Trois fois par an\"\n\nmsgid \"biannual\"\nmsgstr \"Semestrielle\"\n\nmsgid \"annual\"\nmsgstr \"Annuelle\"\n\nmsgid \"biennial\"\nmsgstr \"Biennale\"\n\nmsgid \"triennial\"\nmsgstr \"Triennale\"\n\nmsgid \"quinquennial\"\nmsgstr \"Quinquennale\"\n\nmsgid \"irregular\"\nmsgstr \"Sans régularité\"\n\nmsgid \"tramway\"\nmsgstr \"Tramway\"\n\nmsgid \"subway\"\nmsgstr \"Métro\"\n\nmsgid \"rail\"\nmsgstr \"Chemin de fer\"\n\nmsgid \"bus\"\nmsgstr \"Bus\"\n\nmsgid \"ferry\"\nmsgstr \"Ferry\"\n\nmsgid \"cable_car\"\nmsgstr \"Tramway à cable\"\n\nmsgid \"gondola\"\nmsgstr \"Télécabine\"\n\nmsgid \"funicular\"\nmsgstr \"Funiculaire\"\n\n#, elixir-autogen\nmsgid \"No dataset found\"\nmsgstr \"Aucun jeu de données trouvé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Alphabetical\"\nmsgstr \"Ordre alphabétique\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Most recently added\"\nmsgstr \"Récemment ajouté\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Order by\"\nmsgstr \"Trier par\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get dataset list via an API\"\nmsgstr \"Récupérer la liste des jeux de données via l'API\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There is no data for city %{name}\"\nmsgstr \"Il n'y a pas de données disponibles pour la ville %{name}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There is no data for region %{name}\"\nmsgstr \"Il n'y a pas de données disponibles pour la région %{name}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data type\"\nmsgstr \"Type de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All\"\nmsgstr \"Tous\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real Time\"\nmsgstr \"Temps réel\"\n\n#, elixir-autogen, elixir-format\nmsgid \"with real time\"\nmsgstr \"Avec temps réel\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Any\"\nmsgstr \"Peu importe\"\n\n#, elixir-autogen, elixir-format\nmsgid \"created on\"\nmsgstr \"créé le\"\n\n#, elixir-autogen, elixir-format\nmsgid \"region\"\nmsgstr \"région\"\n\n#, elixir-format, elixir-autogen\nmsgid \"result\"\nmsgid_plural \"results\"\nmsgstr[0] \"%{value} résultat pour \\\"%{q}\\\"\"\nmsgstr[1] \"%{value} résultats pour \\\"%{q}\\\"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"city\"\nmsgstr \"commune\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regions\"\nmsgstr \"Régions\"\n\n#, elixir-autogen, elixir-format\nmsgid \"category\"\nmsgstr \"catégorie\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All (feminine)\"\nmsgstr \"Toutes\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Licences\"\nmsgstr \"Licences\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource format\"\nmsgstr \"Format de ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sub type\"\nmsgstr \"Sous-type\"\n\n#, elixir-autogen, elixir-format\nmsgid \"department\"\nmsgstr \"département\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"EPCI %{name} has not yet published any datasets\"\nmsgstr \"L'EPCI %{name} n'a pas encore publié de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport offer\"\nmsgstr \"offre de transport\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data format\"\nmsgstr \"format de données\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/resource.po",
    "content": "msgid \"Unable to get resources, please retry.\"\nmsgstr \"Impossible d'accéder à la resource, réessayez\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File uploaded!\"\nmsgstr \"Fichier mis à jour !\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to upload file\"\nmsgstr \"Impossible de mettre à jour le fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource updated with URL!\"\nmsgstr \"Ressource mise à jour avec une URL !\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Add a new resource\"\nmsgstr \"Ajouter une nouvelle ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource modification\"\nmsgstr \"Modification d’une ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This option allows you to update the resource on data.gouv.fr, directly from here.\"\nmsgstr \"Cette option vous permet de modifier la ressource sur data.gouv.fr depuis ici, sans avoir à vous y rendre.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource is not available on remote server\"\nmsgstr \"La ressource n'est pas disponible sur le serveur distant\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This resource belongs to a dataset that has been deleted from data.gouv.fr\"\nmsgstr \"Cette ressource appartient à un jeu de données qui a été supprimé de data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This option allows you to add the resource on data.gouv.fr, directly from here. Do you want to publish a more up-to-date version of a resource? <a href=\\\"%{url}\\\">Update the resource</a> instead.\"\nmsgstr \"Cette option vous permet d'ajouter la ressource sur data.gouv.fr depuis ici, sans avoir à vous y rendre. Vous souhaitez remplacer une ressource par une version plus à jour ? <a href=\\\"%{url}\\\">Mettez à jour la ressource</a> plutôt.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Date\"\nmsgstr \"Date\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed name:\"\nmsgstr \"Nom du flux :\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Format:\"\nmsgstr \"Format :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"An authentication is required to access this SIRI feed.\"\nmsgstr \"Une authentification est requise pour accéder à ce flux SIRI.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI authentication\"\nmsgstr \"Authentification SIRI\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The key (RequestorRef) to provide is <code class=\\\"inline\\\" id=\\\"siri_requestor_ref\\\">%{requestor_ref}</code>.\"\nmsgstr \"La clé (RequestorRef) à renseigner est <code class=\\\"inline\\\" id=\\\"siri_requestor_ref\\\">%{requestor_ref}</code>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you haven’t done it yet, think about <a href=\\\"%{link}\\\">validating your data</a> before publishing it.\"\nmsgstr \"Si vous ne l’avez pas encore fait, pensez à <a href=\\\"%{link}\\\">valider vos données</a> avant de les publier.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not delete the resource\"\nmsgstr \"Impossible de supprimer la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The resource has been deleted\"\nmsgstr \"La ressource a été supprimée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download\"\nmsgstr \"Télécharger\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Open with explore.data.gouv.fr\"\nmsgstr \"Ouvrir dans explore.data.gouv.fr\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Size:\"\nmsgstr \"Taille :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Occurrences of the %{element} element.\"\nmsgstr \"Occurrences de l’élément %{element}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of lines:\"\nmsgstr \"nombre de lignes :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of quays:\"\nmsgstr \"nombre de zones d’embarquement :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of stop places:\"\nmsgstr \"nombre de lieux d’arrêt :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NeTEx features:\"\nmsgstr \"fonctionnalités NeTEx :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"accessibility\"\nmsgstr \" accessibilité\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fares\"\nmsgstr \"tarifs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"networks\"\nmsgstr \"description des réseaux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"parkings\"\nmsgstr \"parkings\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stops\"\nmsgstr \"description des arrêts\"\n\n#, elixir-autogen, elixir-format\nmsgid \"timetables\"\nmsgstr \"horaires\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/reusable_data.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\nmsgid \"fr-lo\"\nmsgstr \"Licence ouverte\"\n\nmsgid \"notspecified\"\nmsgstr \"Pas spécifiée\"\n\nmsgid \"odc-odbl\"\nmsgstr \"ODbL\"\n\nmsgid \"other-open\"\nmsgstr \"Autre ouverte\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/reuser-space.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All\"\nmsgstr \"Tout\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data type\"\nmsgstr \"Type de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage notifications\"\nmsgstr \"Gérer vos notifications\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No results\"\nmsgstr \"Pas de résultats\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notification bell\"\nmsgstr \"Icône de notifications\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive helpful notifications about your favorite datasets.\"\nmsgstr \"Recevez des notifications pertinentes à propos de vos jeux de données favoris.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive notifications\"\nmsgstr \"Recevoir des notifications\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"Espace réutilisateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Favorite datasets\"\nmsgstr \"Jeux de données favoris\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Actions\"\nmsgstr \"Actions\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data expiration notification explanation\"\nmsgstr \"Vous êtes alerté à l’approche de la date de fin du calendrier de fonctionnement.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resources changed notification explanation\"\nmsgstr \"Vous êtes alerté lorsque des ressources sont ajoutées, supprimées ou que l’URL est modifiée.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unavailable resources notification explanation\"\nmsgstr \"Vous êtes alerté au bout de 6h consécutives pendant lesquelles une ressource ne peut pas être téléchargée.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"validation errors notification explanation\"\nmsgstr \"Vous êtes alerté lorsqu’une ressource ne respecte pas les spécifications des normes/standards/schémas correspondants.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Global notifications\"\nmsgstr \"Notifications générales\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications by dataset\"\nmsgstr \"Notifications par jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"notifications are good for you\"\nmsgstr \"Les notifications e-mail vous préviennent des problèmes de qualité ou d’indisponibilité qui pourraient affecter vos réutilisations des données de transport. Afin d’activer les notifications sur un jeu de données, mettez-le d’abord en favori (icône ❤️ sur la page du jeu de donnée).<br/><br/>Vous pouvez également suivre l’activité générale de transport.data.gouv.fr à travers les commentaires et nouveaux jeux de données.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access your reuser space\"\nmsgstr \"Accédez à votre espace réutilisateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Set up notifications\"\nmsgstr \"Gérez vos notifications\"\n\n#, elixir-autogen, elixir-format\nmsgid \"To log in, you will be redirected to data.gouv.fr, the open platform for French public data\"\nmsgstr \"Pour vous identifier vous allez être redirigé vers data.gouv.fr, la plateforme ouverte des données publiques françaises.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Welcome!\"\nmsgstr \"Bienvenue !\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr helps you follow the data you reuse\"\nmsgstr \"transport.data.gouv.fr vous aide à suivre les données que vous réutilisez\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr is affiliated with data.gouv.fr, the open platform for French public data\"\nmsgstr \"transport.data.gouv.fr est affilié à data.gouv.fr : la plateforme ouverte des données publiques françaises\"\n\n#, elixir-autogen, elixir-format\nmsgid \"reuser-space-intro\"\nmsgstr \"Pour ajouter un favori et bénéficier des services de suivi et d'amélioration de la qualité des jeux de données que vous réutilisez, vous devez au préalable vous connecter puis cliquer sur l'icône ❤️ sur la page du jeu de données.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{dataset_title} has been removed from your favorites\"\nmsgstr \"%{dataset_title} a été retiré de vos favoris\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cancel\"\nmsgstr \"Annuler\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Remove from favorites\"\nmsgstr \"Supprimer de vos favoris\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discussions\"\nmsgstr \"Discussions\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Improved data sharing\"\nmsgstr \"Repartage des données améliorées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Preferences\"\nmsgstr \"Préférences\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This feature is coming soon!\"\nmsgstr \"Cette fonctionnalité arrive bientôt !\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Warning, you are going to remove \\\"%{dataset_title}\\\" from your favorites. You will lose any settings or actions you previously performed on this dataset.\"\nmsgstr \"Attention, vous allez supprimer le jeu de données \\\"%{dataset_title}\\\" de vos favoris. Vous allez perdre tous les paramétrages ou actions que vous avez réalisés précédemment sur ce jeu de données.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Only GTFS files are eligible for now.\"\nmsgstr \"Seuls les fichiers GTFS sont éligibles pour le moment.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Share improved data\"\nmsgstr \"Repartager vos données améliorées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your improved data URL\"\nmsgstr \"Lien vers vos données améliorées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Step 1: choose the initial resource from the producer\"\nmsgstr \"Étape 1 : sélectionnez la ressource initiale du producteur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Step 2: add the URL to download your improved data\"\nmsgstr \"Étape 2 : renseignez l'URL de téléchargement de votre fichier amélioré\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You already shared improved data for this dataset, thanks!\"\nmsgstr \"Vous avez déjà partagé des données améliorées pour ce jeu de données, merci !\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your improved data has been saved.\"\nmsgstr \"Vos données améliorées ont bien été sauvegardées.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Name\"\nmsgstr \"Nom\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Organisation\"\nmsgstr \"Organisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Secret\"\nmsgstr \"Secret\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Settings\"\nmsgstr \"Paramètres\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There are no tokens yet.\"\nmsgstr \"Il n'y a pas de tokens pour le moment.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tokens\"\nmsgstr \"Tokens\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A name identifying the application using this token.\"\nmsgstr \"Un nom identifiant l'application utilisant ce token.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create\"\nmsgstr \"Créer\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create a new token\"\nmsgstr \"Créer un nouveau token\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Token name\"\nmsgstr \"Nom du token\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You need to be a member of an organisation to create new tokens.\"\nmsgstr \"Vous devez être membre d'une organisation pour créer un nouveau token.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your token has been created\"\nmsgstr \"Votre token a bien été créé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your token has been deleted\"\nmsgstr \"Votre token a bien été supprimé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tokens can be used when using <a href=\\\"%{swagger_url}\\\" target=\\\"_blank\\\">the API</a>. The token should be included in the <code>Authorization</code> HTTP header. If your token is <code>foo</code>, you should send HTTP requests with the header <code>Authorization: foo</code>.\"\nmsgstr \"Les tokens peuvent être utilisés lors d'appels à <a href=\\\"%{swagger_url}\\\" target=\\\"_blank\\\">l'API</a>. Le token doit être inclus dans l'en-tête HTTP <code>Authorization</code>. Si votre token est <code>foo</code>, vous devez envoyer des requêtes HTTP avec l'en-tête <code>Authorization: foo</code>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Using tokens\"\nmsgstr \"Utiliser les tokens\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You can create or join an organisation on data.gouv.fr. <a href=\\\"%{doc_url}\\\" target=\\\"_blank\\\">See the documentation</a>.\"\nmsgstr \"Vous pouvez créer ou rejoindre une organisation sur data.gouv.fr. <a href=\\\"%{doc_url}\\\" target=\\\"_blank\\\">Voir la documentation</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The token %{name} is now the default token\"\nmsgstr \"Le token %{name} est maintenant le token par défaut\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Default token\"\nmsgstr \"Token par défaut\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete\"\nmsgstr \"Supprimer\"\n\n#, elixir-autogen, elixir-format\nmsgid \"(by default)\"\nmsgstr \"(par défaut)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declare a reuse\"\nmsgstr \"Déclarer une réutilisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declare your reuses\"\nmsgstr \"Déclarer ses réutilisations\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Highlight your reuses and make yourself known.\"\nmsgstr \"Mettez en avant vos réutilisations et faites-vous connaitre.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuses\"\nmsgstr \"Réutilisations\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Personal token\"\nmsgstr \"Token personnel\"\n\n#, elixir-autogen, elixir-format\nmsgid \"API - Manage your tokens\"\nmsgstr \"API - Gérer vos tokens\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create and manage your tokens independently.\"\nmsgstr \"Créer et gérer vos tokens en toute autonomie\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage your tokens\"\nmsgstr \"Gérer vos tokens\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See the resource\"\nmsgstr \"Voir la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Important information on resources you follow\"\nmsgstr \"Informations importantes concernant les ressources que vous suivez\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Available services\"\nmsgstr \"Services disponibles\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Alert hidden for 7 days\"\nmsgstr \"Information masquée pendant 7 jours\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Hide for 7 days\"\nmsgstr \"Masquer pendant 7 jours\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/reuses.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n###\n### Do not add, change, or remove \"msgid\"s manually here as\n### they're tied to the ones in the corresponding POT file\n### (with the same domain).\n###\n### Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n### to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgid_plural \"datasets\"\nmsgstr[0] \"jeu de données\"\nmsgstr[1] \"jeux de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"api\"\nmsgstr \"API\"\n\n#, elixir-autogen, elixir-format\nmsgid \"application\"\nmsgstr \"application\"\n\n#, elixir-autogen, elixir-format\nmsgid \"hardware\"\nmsgstr \"objet connecté\"\n\n#, elixir-autogen, elixir-format\nmsgid \"news_article\"\nmsgstr \"article de presse\"\n\n#, elixir-autogen, elixir-format\nmsgid \"paper\"\nmsgstr \"papier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"post\"\nmsgstr \"article de blog\"\n\n#, elixir-autogen, elixir-format\nmsgid \"visualization\"\nmsgstr \"visualisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"idea\"\nmsgstr \"idée\"\n\n#, elixir-autogen, elixir-format\nmsgid \"index-intro\"\nmsgstr \"Vous trouverez ci-dessous la liste des réutilisations déclarées qui utilisent un jeu de données référencé sur transport.data.gouv.fr.<br/><br/>Vous n’y êtes pas ? Mettez en avant vos réutilisations depuis <a href=\\\"%{url}\\\">votre espace réutilisateur</a> et vos réalisations apparaitront automatiquement sur cette page !<br/><br/>Plus d’informations sur notre documentation en ligne :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish a reuse\"\nmsgstr \"Publier une réutilisation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Find reuses\"\nmsgstr \"Rechercher des réutilisations\"\n\n#, elixir-autogen, elixir-format\nmsgid \"-- All --\"\nmsgstr \"-- Tout --\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declared reuses\"\nmsgstr \"Réutilisations déclarées\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/seo.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{format} Transport open dataset - %{title} for %{custom_title} - %{territory}\"\nmsgstr \"Jeu de données ouvert %{format} - %{title} pour %{custom_title} - %{territory}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish, improve and reuse French public transport data\"\nmsgstr \"Rendre disponible, valoriser et améliorer les données transports\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport open datasets for %{type} %{name}\"\nmsgstr \"Jeux de données ouverts de la %{type} %{name}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{name} EPCI: Transport open datasets\"\nmsgstr \"EPCI %{name} : Jeux de données ouverts\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{q}: Available transport open datasets\"\nmsgstr \"%{q} : Jeux de données ouverts disponibles\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{custom_title} - Open %{formats} datasets - %{territory}\"\nmsgstr \"%{custom_title} - Données %{formats} ouvertes - %{territory}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"National Access Point for transport open data\"\nmsgstr \"Le Point d’Accès National aux données ouvertes de transport\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport open datasets for city %{name}\"\nmsgstr \"Jeux de données ouverts de la commune de %{name}\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data quality evaluation\"\nmsgstr \"Évaluation de la qualité d’un fichier ou d’un flux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"State of transport open data for french AOMs\"\nmsgstr \"État de l’ouverture des données de transport en commun pour les AOMs françaises\"\n\n#, elixir-autogen, elixir-format\nmsgid \"State of transport open data in France\"\nmsgstr \"État de l’ouverture des données de transport en France\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"Espace réutilisateur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{name} department: Transport open datasets\"\nmsgstr \"Département %{name} : Jeux de données ouverts\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport open datasets for transport offer %{name}\"\nmsgstr \"Jeux de données ouverts de l'offre de transport %{name}\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Transport open datasets for data format %{name}\"\nmsgstr \"Jeux de données ouverts du format de données %{name}\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/stats.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Service alerts\"\nmsgstr \"Info trafic\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip updates\"\nmsgstr \"Prochains passages\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Vehicle positions\"\nmsgstr \"Positions des véhicules\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/user.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\nmsgid \"First step\"\nmsgstr \"Première étape\"\n\nmsgid \"Select an organization that publishes transport data\"\nmsgstr \"Sélectionner une organisation publiant des données transport\"\n\nmsgid \"This organization publishes transport data\"\nmsgstr \"Cette organisation publie des données transport\"\n\nmsgid \"Choose a dataset you want to be on transport.data.gouv.fr\"\nmsgstr \"Choisissez un jeu de données que vous voulez publier sur transport.data.gouv.fr\"\n\nmsgid \"Second step\"\nmsgstr \"Deuxième étape\"\n\nmsgid \"Add this dataset\"\nmsgstr \"Ajouter ce jeu de données\"\n\nmsgid \"Organization\"\nmsgstr \"Organisation\"\n\nmsgid \"Go back to organizations list\"\nmsgstr \"Revenir à la liste des organisations\"\n\nmsgid \"Create an organization\"\nmsgstr \"Créer une organisation\"\n\nmsgid \"You need to add a dataset on data.gouv.fr\"\nmsgstr \"Vous devez ajouter un jeu de données\"\n\nmsgid \"Organization's description\"\nmsgstr \"Description de l'organisation\"\n\nmsgid \"Organization's name\"\nmsgstr \"Nom de l'organisation\"\n\nmsgid \"Create organization\"\nmsgstr \"Créer une organisation\"\n\nmsgid \"Organization added\"\nmsgstr \"Organisation ajoutée\"\n\nmsgid \"You need to provide an organisation description\"\nmsgstr \"Vous devez donner une description\"\n\nmsgid \"You need to provide an organisation name\"\nmsgstr \"Vous devez donner un nom\"\n\nmsgid \"Upload a new dataset\"\nmsgstr \"Ajouter un nouveau de données\"\n\nmsgid \"Upload dataset\"\nmsgstr \"Ajouter un jeu de données\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/validation.po",
    "content": "## \"msgid\"s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove \"msgid\"s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use \"mix gettext.extract --merge\" or \"mix gettext.merge\"\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation not found. On-demand validation results have been reinitialized on 2022-05-30. Please validate your file again.\"\nmsgstr \"Validation non disponible. Les résultats de validation à la demande ont été réinitialisés le 30/05/2022. Veuillez revalider vos données.\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/validations-explanations.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\"Plural-Forms: nplurals=2; plural=(n>1);\"\n\n#, elixir-autogen, elixir-format\nmsgid \"DuplicateStops\"\nmsgstr \"Certains arrêts sont très proches. Cela pourrait indiquer une duplication du même arrêt.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Impacted file:\"\nmsgstr \"Fichier concerné :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close stop\"\nmsgstr \"Arrêt proche\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop ID\"\nmsgstr \"Identifiant de l’arrêt\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop name\"\nmsgstr \"Nom de l’arrêt\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ExtraFile\"\nmsgstr \"L’archive GTFS devrait uniquement contenir des fichiers décrits par la spécification\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File name\"\nmsgstr \"Nom de fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Next stop and service\"\nmsgstr \"Prochain arrêt et circulation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SpeedIssue\"\nmsgstr \"La vitesse entre deux arrêts consécutifs ne semble pas réaliste\"\n\n#, elixir-autogen, elixir-format\nmsgid \"MissingFile\"\nmsgstr \"Certains fichiers obligatoires manquent dans l’archive GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"UnusedStop\"\nmsgstr \"Arrêt présent mais n’apparaissant dans aucune circulation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"CoordinatesIssue\"\nmsgstr \"Les coordonnées des arrêts sont obligatoires dans la spécification GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error detail:\"\nmsgstr \"Détails de l'erreur :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"at line\"\nmsgstr \"à la ligne\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The file does not comply with the GTFS specification, the tool cannot perform all the checks.\"\nmsgstr \"Le fichier ne respecte pas les spécifications GTFS, le validateur ne peut effectuer toutes les vérifications.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Glimpse of the file\"\nmsgstr \"Aperçu du fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error on file\"\nmsgstr \"Erreur sur le fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Details\"\nmsgstr \"Détails\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Shape ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Some shape id used in trips.txt are not defined in shapes.txt\"\nmsgstr \"Certains shape id utilisés dans trips.txt ne sont pas définis dans shapes.txt\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Some shapes defined in shapes.txt are not used in trips.txt\"\nmsgstr \"Certaines shapes définies dans shapes.txt ne sont pas utilisées dans trips.txt\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"MissingId\"\nmsgstr \"Certains identifiants obligatoires sont manquants\"\n\n#, elixir-autogen, elixir-format\nmsgid \"MissingName\"\nmsgstr \"Certains noms obligatoires sont manquants\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Object type\"\nmsgstr \"Type d'objet\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Object ID\"\nmsgstr \"Identifiant de l’objet\"\n\n#, elixir-autogen, elixir-format\nmsgid \"DuplicateStopSequence\"\nmsgstr \"Certains arrêts dans un même trajet ont la même valeur de stop_sequence.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Related stops\"\nmsgstr \"Arrêts associés\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SubFolder\"\nmsgstr \"Les fichiers .txt sont dans un sous-dossier (%{folder}). Les fichiers doivent être à la racine de l'archive ZIP et non dans un sous-dossier.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NegativeStopDuration\"\nmsgstr \"L'heure de départ d'un arrêt (departure_time) est antérieure à son heure d'arrivée (arrival_time).\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Message\"\nmsgstr \"Message\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unknown location\"\nmsgstr \"Emplacement inconnu\"\n\n#, elixir-autogen, elixir-format\nmsgid \"UnusableTrip\"\nmsgstr \"Un trajet doit passer par plus d’un arrêt dans stop_times.txt pour être utilisable par les voyageurs à la montée ou la descente.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NoCalendar\"\nmsgstr \"<code>calendar.txt</code> et <code>calendar_dates.txt</code> sont vides. Le service n'est jamais en exploitation.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Here is a summary of XSD validation errors. Full detail of those errors is available in the <a href=\\\"%{validation_report_url}\\\" target=\\\"_blank\\\">CSV report</a>. Those errors are produced by <a href=\\\"https://gnome.pages.gitlab.gnome.org/libxml2/xmllint.html\\\" target=\\\"_blank\\\">xmllint</a>.\"\nmsgstr \"Voici un résumé des erreurs de validation XSD. Le détail de ces erreurs est disponible dans le <a href=\\\"%{validation_report_url}\\\" target=\\\"_blank\\\">rapport complet</a>. Ces erreurs sont le résultat de la validation par <a href=\\\"https://gnome.pages.gitlab.gnome.org/libxml2/xmllint.html\\\" target=\\\"_blank\\\">xmllint</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Occurrences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The following errors are only available in English.\"\nmsgstr \"Les erreurs ci-après ne sont pas traduites en français.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"File\"\nmsgstr \"Fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line\"\nmsgstr \"Ligne\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/fr/LC_MESSAGES/validations.po",
    "content": "## `msgid`s in this file come from POT (.pot) files.\n##\n## Do not add, change, or remove `msgid`s manually here as\n## they're tied to the ones in the corresponding POT file\n## (with the same domain).\n##\n## Use `mix gettext.extract --merge` or `mix gettext.merge`\n## to merge POT files into PO files.\nmsgid \"\"\nmsgstr \"\"\n\"Language: fr\\n\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No validation available\"\nmsgstr \"Pas de validation disponible\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other resources\"\nmsgstr \"Autres ressources\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload\"\nmsgstr \"Envoyer\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS review report\"\nmsgstr \"Rapport de l’analyse de fichier GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This report can be shared with\"\nmsgstr \"Ce bilan peut être partagé via\"\n\n#, elixir-autogen, elixir-format\nmsgid \"this permanent link\"\nmsgstr \"ce lien permanent\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Nice work, there are no issues!\"\nmsgstr \"Félicitations, aucune erreur n'a été trouvée !\"\n\n#, elixir-format, elixir-autogen\nmsgid \"network\"\nmsgid_plural \"networks\"\nmsgstr[0] \"réseau\"\nmsgstr[1] \"réseaux\"\n\n#, elixir-format, elixir-autogen\nmsgid \"transport mode\"\nmsgid_plural \"transport modes\"\nmsgstr[0] \"mode de transport\"\nmsgstr[1] \"modes de transport\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File name\"\nmsgstr \"Nom du fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"It is valid from\"\nmsgstr \"Le fichier couvre la période du \"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource details\"\nmsgstr \"Détails de la ressource\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This resource file is part of the dataset\"\nmsgstr \"Cette ressource fait partie du jeu de données\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation report\"\nmsgstr \"Rapport de validation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"to\"\nmsgstr \"au\"\n\n#, elixir-autogen, elixir-format\nmsgid \"explanations-gtfs\"\nmsgstr \"Voici le bilan automatisé sur la qualité du fichier GTFS. \"\n\"Cette validation ne concerne que la structure des données et pas la complétude ni l’exactitude des horaires. \"\n\n#, elixir-autogen, elixir-format\nmsgid \"explanations-netex\"\nmsgstr \"Voici le bilan automatisé sur la qualité du fichier NeTEx. \"\n\"Cette validation ne concerne que la structure des données et pas la complétude ni l’exactitude des données. \"\n\n#, elixir-autogen, elixir-format\nmsgid \"Show anyway\"\nmsgstr \"Afficher quand même\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stops visualization is quite big\"\nmsgstr \"La visualisation des arrêts est volumineuse\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stops and routes visualization of the GTFS file\"\nmsgstr \"Aperçu des arrêts et lignes de la ressource GTFS\"\n\n#, elixir-format, elixir-autogen\nmsgctxt \"errors\"\nmsgid \"error\"\nmsgid_plural \"errors\"\nmsgstr[0] \"erreur\"\nmsgstr[1] \"erreurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors:\"\nmsgstr \"Erreurs :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Showing only the first %{nb} errors.\"\nmsgstr \"Montre seulement les %{nb} premières lignes.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This resource should follow its schema %{link}.\"\nmsgstr \"Cette ressource doit suivre le schéma %{link}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation details\"\nmsgstr \"Rapport de validation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No error detected\"\nmsgstr \"Fichier conforme au schéma.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization up-to-date %{hours} ago.\"\nmsgstr \"Visualisation à jour il y a %{hours}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Choose your file\"\nmsgstr \"Choisissez votre fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Last updated at %{date}.\"\nmsgstr \"Dernière mise à jour %{date}.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Validation results\"\nmsgstr \"Rapport de validation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Are you the producer of this data? Once you have fixed your errors, you can verify that your file is valid <a href=\\\"%{link}\\\" target=\\\"_blank\\\">using our validators</a>.\"\nmsgstr \"Êtes-vous le producteur de ces données ? Une fois vos erreurs réparées, vous pouvez vérifier que votre fichier est valide <a href=\\\"%{link}\\\" target=\\\"_blank\\\">en utilisant nos validateurs</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors\"\nmsgstr \"Erreurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sample errors\"\nmsgstr \"Exemples d'erreurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation carried out using the <a href=\\\"%{gtfs_link}\\\">current GTFS file</a> and the <a href=\\\"%{gtfs_rt_link}\\\">GTFS-RT</a> the %{date} using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">MobilityData GTFS-RT validator</a>.\"\nmsgstr \"Validation effectuée en utilisant <a href=\\\"%{gtfs_link}\\\">le fichier GTFS en vigueur</a> et le <a href=\\\"%{gtfs_rt_link}\\\">GTFS-RT</a>, le %{date} avec <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">le validateur GTFS-RT de MobilityData</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Warnings\"\nmsgstr \"Avertissements\"\n\n#, elixir-format, elixir-autogen, fuzzy\nmsgctxt \"warnings\"\nmsgid \"warning\"\nmsgid_plural \"warnings\"\nmsgstr[0] \"avertissement\"\nmsgstr[1] \"avertissements\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Validate\"\nmsgstr \"Valider\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your URL\"\nmsgstr \"Votre URL\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Check the quality of a file or a feed\"\nmsgstr \"Vérifier la qualité d'un fichier ou d'un flux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GBFS validation report\"\nmsgstr \"Rapport de validation GBFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This is the validation report of the GBFS feed %{link}.\"\nmsgstr \"Ceci est le rapport de validation du flux GBFS %{link}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed details\"\nmsgstr \"Détail des flux\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation performed at %{date}.\"\nmsgstr \"Validation effectuée le %{date}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your GTFS realtime's URL\"\nmsgstr \"L'URL de votre GTFS temps réel\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Your GTFS' URL\"\nmsgstr \"L'URL de votre GTFS\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate this GTFS-RT now\"\nmsgstr \"Valider ce GTFS-RT maintenant\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Each GTFS-RT feed can only be validated once per 5 minutes. Please wait a moment and try again.\"\nmsgstr \"Chaque flux GTFS-RT ne peut être validé que toutes les 5 minutes. Veuillez patienter un instant et réessayer.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS-RT feeds change in real-time. This validation report shows the validation result performed at %{date}. You can relaunch a validation later on and get different results.\"\nmsgstr \"Le contenu d'un flux GTFS-RT est susceptible de changer à chaque instant. Cette page présente les résultats de la validation effectuée le %{date} et son contenu est fixe. Il vous est possible de revalider le flux ultérieurement et d'obtenir des résultats différents.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This validation concerns the given GTFS-RT feed and GTFS file and has been carried out using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">MobilityData GTFS-RT validator</a>. It does not validate the GTFS itself. You can validate your GTFS file <a href=\\\"%{gtfs_validator}\\\">using our GTFS validator</a>.\"\nmsgstr \"La validation porte sur le flux GTFS-RT et sur sa cohérence avec le fichier GTFS fourni. Elle a été réalisée avec le <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">validateur MobilityData GTFS-RT</a>. Elle ne porte pas sur le fichier GTFS en lui-même. Il est possible de valider un fichier GTFS grâce à <a href=\\\"%{gtfs_validator}\\\">notre validateur GTFS</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization\"\nmsgstr \"Visualisation\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Visualization is quite big\"\nmsgstr \"La visualisation est volumineuse\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No validation error\"\nmsgstr \"Aucune erreur de validation\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See all your errors <a href=\\\"%{url}\\\" target=\\\"_blank\\\">using the web interface</a>.\"\nmsgstr \"Consultez toutes les erreurs <a href=\\\"%{url}\\\" target=\\\"_blank\\\">sur ce site web</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See <a href=\\\"%{report_url}\\\" target=\\\"_blank\\\">the validation report</a> online.\"\nmsgstr \"Consultez le <a href=\\\"%{report_url}\\\" target=\\\"_blank\\\">rapport de validation</a> en ligne.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation carried out the %{date} using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">MobilityData validator</a>.\"\nmsgstr \"Validation effectuée le %{date} en utilisant le <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">validateur GBFS de MobilityData</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate this GBFS now\"\nmsgstr \"Valider ce GBFS maintenant\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload in progress\"\nmsgstr \"Envoi en cours\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation carried out using the <a href=\\\"%{link}\\\">current %{format} file</a> the %{date} using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">%{validator_name}</a>.\"\nmsgstr \"Validation effectuée en utilisant <a href=\\\"%{link}\\\">le fichier %{format} en vigueur</a> le %{date} avec <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">%{validator_name}</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"from\"\nmsgstr \"du\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} times (%{percentage} % of validations)\"\nmsgstr \"%{count} fois (%{percentage} % des validations)\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Description\"\nmsgstr \"Description\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error ID\"\nmsgstr \"Identifiant d'erreur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors count\"\nmsgstr \"Nombre d'erreurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Here is a recap of all the error types encountered over the last %{nb} days.\"\nmsgstr \"Voici un récapitulatif des différents types d'erreurs constatés au cours des %{nb} derniers jours.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Number of occurences\"\nmsgstr \"Nombre d'occurences\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Previous validations\"\nmsgstr \"Validations précédentes\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Many validation errors indicate that the GTFS-RT identifiers do not match the GTFS identifiers.\"\nmsgstr \"De nombreuses erreurs de validation indiquent que les identifiants du GTFS-RT ne correspondent pas aux identifiants du GTFS.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Shapes present in the GTFS have been ignored, some rules are not enforced.\"\nmsgstr \"Les shapes présentes dans le GTFS ont été ignorées, certaines règles de validation n'ont pas été vérifiées.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"calendar span by network:\"\nmsgstr \"couverture calendaire par réseau :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of routes:\"\nmsgstr \"nombre de lignes :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of stop areas:\"\nmsgstr \"nombre de zones d'arrêts :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of stop points:\"\nmsgstr \"nombre d'arrêts :\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"NeTEx review report\"\nmsgstr \"Rapport de l’analyse de fichier NeTEx\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Elapsed time: %{duration}.\"\nmsgstr \"Temps passé : %{duration}.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NeTEx validation is in beta.\"\nmsgstr \"La validation NeTEx est en beta.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"less than 1 second\"\nmsgstr \"moins d’une seconde\"\n\n#, elixir-autogen, elixir-format\nmsgid \"PAN GTFS validator\"\nmsgstr \"le validateur GTFS du <abbr title=\\\"Point d’Accès National\\\">PAN</abbr>\"\n\n#, elixir-autogen, elixir-format\nmsgid \"enRoute Chouette Valid\"\nmsgstr \"le validateur NeTEx d’enRoute\"\n\n#, elixir-autogen, elixir-format\nmsgid \"xsd-schema-description\"\nmsgstr \"Toute ressource NeTEx doit être conforme à la <a href=\\\"https://github.com/NeTEx-CEN/NeTEx\\\" target=\\\"_blank\\\">XSD de NeTEx</a>, quel que soit le profil utilisé. La validation de la XSD ne tient pas compte des choix faits dans <a href=\\\"%{category_french_profile}\\\">le profil France</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"xsd-schema-hints\"\nmsgstr \"Parmi les erreurs les plus fréquentes, pensez à vérifier que vos identifiants sont uniques, que l'ordre des balises est bien respecté et/ou qu'il ne vous manque aucun attribut obligatoire.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Base rules\"\nmsgstr \"Règles de base\"\n\n#, elixir-autogen, elixir-format\nmsgid \"base-rules-description\"\nmsgstr \"Ces règles sont issues des pratiques métiers les plus courantes. Elles forment les règles de base partagées par l'ensemble des profils de NeTEx. Elles sont présentées sur <a href=\\\"https://enroute.atlassian.net/wiki/spaces/PUBLICFR/pages/2987556904/Les+r+gles+par+enRoute\\\" target=\\\"_blank\\\">le Wiki d'enRoute</a>.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Other errors\"\nmsgstr \"Autres erreurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"netex-french-profile-no-compliance\"\nmsgstr \"Nous ne vérifions pas encore la conformité à la structure et aux spécificités du <a href=\\\"https://normes.transport.data.gouv.fr/\\\">profil France</a>.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"netex-french-profile-partial-compliance\"\nmsgstr \"Nous ne vérifions que partiellement la conformité à la structure et aux spécificités du <a href=\\\"https://normes.transport.data.gouv.fr/\\\">profil France</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"French profile\"\nmsgstr \"Profil France\"\n\n#, elixir-autogen, elixir-format\nmsgid \"french-profile-description\"\nmsgstr \"Ensemble de règles spécifiques au <a href=\\\"https://normes.transport.data.gouv.fr\\\" target=\\\"_blank\\\">profil France</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"during %{retention_days} days\"\nmsgstr \"pendant %{retention_days} jours\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This validation is now expired. Results cannot be accessed anymore.\"\nmsgstr \"Ce rapport de validation est maintenant expiré. Les résultats ne sont plus accessibles.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Information\"\nmsgstr \"Information\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Relevant files\"\nmsgstr \"Fichiers pertinents\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Relevant links\"\nmsgstr \"Liens pertinents\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Canonical GTFS Schedule Validator\"\nmsgstr \"le validateur GTFS canonique\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Public transit\"\nmsgstr \"Transport public collectif\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Vehicles sharing\"\nmsgstr \"Véhicules en libre-service\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE, ZFE, carpooling, bike data etc.\"\nmsgstr \"IRVE, ZFE, covoiturage, données cyclables etc.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Road mobility and bike\"\nmsgstr \"Mobilités routières et vélo\"\n\n#, elixir-autogen, elixir-format\nmsgid \"As a CSV file:\"\nmsgstr \"Au format CSV :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"As a Parquet file:\"\nmsgstr \"Au format Parquet :\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download the report\"\nmsgstr \"Télécharger le rapport\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more about it <a href=\\\"%{parquet_url}\\\" target=\\\"_blank\\\">here</a>.\"\nmsgstr \"En savoir plus <a href=\\\"%{parquet_url}\\\" target=\\\"_blank\\\">ici</a>.\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"No validation error. No report to download.\"\nmsgstr \"Aucune erreur de validation. Aucun rapport à télécharger.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Parquet is way more compact file format but it will require you to use some dedicated tooling.\"\nmsgstr \"Le format Parquet est bien plus compact mais nécessitera que vous utilisiez des outils spécifiques.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"XSD\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All rules of this category are respected.\"\nmsgstr \"Toutes les règles de cette catégorie sont respectées.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"List of French Profile rules currently checked\"\nmsgstr \"Liste des règles du profil France actuellement implémentées\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more\"\nmsgstr \"En savoir plus\"\n\n#, elixir-autogen, elixir-format, fuzzy\nmsgid \"Stops and routes visualization of the NeTEx file\"\nmsgstr \"Aperçu des arrêts et lignes de la ressource NeTEx\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Column\"\nmsgstr \"Colonne\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not validate file rows because of file-level errors.\"\nmsgstr \"Impossible de valider les lignes du fichier en raison d'erreurs au niveau du fichier.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error samples\"\nmsgstr \"Exemples d'erreurs\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors by column\"\nmsgstr \"Erreurs par colonne\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File-level errors\"\nmsgstr \"Erreurs au niveau du fichier\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE Statique validation report\"\nmsgstr \"Rapport de validation IRVE statique\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid file\"\nmsgstr \"Fichier invalide\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid rows\"\nmsgstr \"Lignes invalides\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This validation now uses our integrated IRVE Statique validator.\"\nmsgstr \"Cette validation utilise désormais notre validateur IRVE statique intégré.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Total rows\"\nmsgstr \"Lignes totales\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Valid rows\"\nmsgstr \"Lignes valides\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation file\"\nmsgstr \"Fichier validé\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Value\"\nmsgstr \"Valeur\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You can still use the previous <a href=\\\"%{url}\\\" target=\\\"_blank\\\">Validata validator</a>.\"\nmsgstr \"Vous pouvez toujours utiliser l'ancien <a href=\\\"%{url}\\\" target=\\\"_blank\\\">validateur Validata</a>.\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File is too large, must be <%{max_file_size}.\"\nmsgstr \"Fichier trop gros, doit peser moins de %{max_file_size}.\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/gbfs_analyzer.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here as no\n## effect: edit them in PO (.po) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Detailed validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Detected version\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed Name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feeds\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GeoJSONs\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Languages\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Metadata\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Number of detected errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Timezone\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validated version\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"error message\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Link\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"validation was not performed\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/gtfs-diff.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Job started\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Computing diff for <code>%{file_name}</code>\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Drop your GTFS files here or click to browse your local drive\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Diff is a <a href=\\\"%{link}\\\">specification</a>\\n      created by transport.data.gouv.fr and aims at providing a simple and unified way to express differences between GTFS files\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS Diff is available for\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS comparison with GTFS Diff\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"<a href=\\\"%{spec}\\\">Read</a> the GTFS Diff specification to understand how differences between GTFS are expressed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"added\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"deleted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"download\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"updated\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Analyzing found differences…\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} column\"\nmsgid_plural \"%{count} columns\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} file\"\nmsgid_plural \"%{count} files\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} row\"\nmsgid_plural \"%{count} rows\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Switch files\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"An error occurred while interpreting the results. Note that the report is still available as download. Error:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start over\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The GTFS file <code>%{gtfs_original_file_name_2}</code> has differences with the GTFS file <code>%{gtfs_original_file_name_1}</code>, as summarized below:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The GTFS files <code>%{gtfs_original_file_name_2}</code> and <code>%{gtfs_original_file_name_1}</code> are similar.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The <a href=\\\"%{gtfs_url_2}\\\">modified GTFS file</a> has differences with the <a href=\\\"%{gtfs_url_1}\\\">reference GTFS file</a>, as summarized below:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The <a href=\\\"%{gtfs_url_2}\\\">modified GTFS file</a> and the <a href=\\\"%{gtfs_url_1}\\\">reference GTFS file</a> are similar.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Modified GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reference GTFS\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cancel upload or remove file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Valid file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Please upload some file above\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Analysis\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Setup\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Results\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Processing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File is too large, must be <%{max_file_size_mb}MB.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You have selected an unacceptable file type.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You must select 2 files.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Job aborted, the diff is taking too long (> %{minutes} min).\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Clear uploaded files\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discarded files:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"not enough memory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Row changes have not been analyzed for this file. We suggest you dive into both GTFS files for more details.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Added %{count} column:\"\nmsgid_plural \"Added %{count} columns:\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Deleted %{count} column:\"\nmsgid_plural \"Deleted %{count} columns:\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notable changes:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Row changes:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file added with %{count} new column:\"\nmsgid_plural \"file added with %{count} new columns:\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file deleted along with %{count} column:\"\nmsgid_plural \"file deleted along with %{count} columns:\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"non standard column\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other change: %{unknown}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Weelchair boarding\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stops' names\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stops' positions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Comment\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Modified\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Original\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No row changes.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file added\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"file deleted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route color\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route text color\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route long name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route short name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Location type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Agency URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip headsign\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"no color\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"no value\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop %{stop_id} has been moved by %{distance}m\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Wheelchair_boarding updated for stop %{stop_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop %{stop_id} has been renamed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Color has been updated for route %{route_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Text color has been updated for route %{route_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route long name has been updated for route %{route_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route short name has been updated for route %{route_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route type has been updated for route %{route_id}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Location type for stop %{stop_id} has been changed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Agency URL for agency %{agency_id} has been changed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Headsign for trip %{trip_id} has been changed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Compare the value of \"\nmsgid_plural \"Compare the values of \"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Computes the distance between locations. Results are sorted by distance. Moves shorter than 1 m are filtered out.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Full name of a route. This name is generally more descriptive than the `route_short_name` and often includes the route's destination or stop.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Indicates the type of transportation used on a route.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Indicates whether wheelchair boardings are possible from the location.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Legible color to use for text drawn against a background of `route_color`. Defaults to black (000000) when omitted or left empty.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Name of the location. The `stop_name` should match the agency's rider-facing name for the location as printed on a timetable, published online, or represented on signage. For translations into other languages, use `translations.txt`.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Route color designation that matches public facing material. Defaults to white (FFFFFF) when omitted or left empty. The color difference between `route_color` and `route_text_color` should provide sufficient contrast when viewed on a black and white screen.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Short name of a route. Often a short, abstract identifier (e.g., \\\"32\\\", \\\"100X\\\", \\\"Green\\\") that riders use to identify a route.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Text that appears on signage identifying the trip's destination to riders. This field is recommended for all services with headsign text displayed on the vehicle which may be used to distinguish amongst trips in a route.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"URL of the transit agency.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Agency fare URL for agency %{agency_id} has been changed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Agency phone for agency %{agency_id} has been changed\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/gtfs-file-descriptions.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"agency.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"areas.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"attributions.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"booking_rules.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"calendar.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"calendar_dates.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_attributes.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_leg_join_rules.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_leg_rules.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_media.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_products.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_rules.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fare_transfer_rules.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"feed_info.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"frequencies.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"levels.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"location_group_stops.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"location_groups.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"networks.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"pathways.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"rider_categories.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"route_networks.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"routes.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"shapes.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stop_areas.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stop_times.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stops.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"timeframes.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transfers.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"translations.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"trips.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unknown-file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unknown\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"aerial lift, suspended cable car\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"bus\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"cable tram\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ferry\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"funicular\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"monorail\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"rail\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"subway, metro\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"tram, streetcar, light rail\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"trolleybus\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"boarding area\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"entrance/exit\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"generic node\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"station\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stop or platform\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Know more about this file.\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/gtfs-transport-validator.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Duplicate stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Duplicate object id\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Excessive speed between two stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Extra file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid archive\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid coordinates\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid currency\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid language\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid reference\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid route type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid timezone\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid transfer duration\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid transfers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid url\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing coordinates\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing id\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing language\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing mandatory file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing price\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing route name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Missing url\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Negative travel time between two stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Null duration between two stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Slow\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unused stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Not compliant with the GTFS specification\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Impossible to interpolate stop times\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ID is not ASCII-encoded\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid stop location type in trip\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid stop parent\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid shape ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unused shape ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Duplicate stop sequence\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Files in a subfolder\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Negative stop duration\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unusable trip\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error\"\nmsgid_plural \"Errors\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fatal failure\"\nmsgid_plural \"Fatal failures\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Information\"\nmsgid_plural \"Informations\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Warning\"\nmsgid_plural \"Warnings\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Calendar files are empty. The service is never running.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Field agency_id should not be empty.\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/helper.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \":\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/landing-vls.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access free self-service vehicle data in France\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A complex ecosystem\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A multiplicity of actors in France\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Different data exchange formats\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Many types of services\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Easily explore and reuse data from AOMs and their service providers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A personalized space to stay informed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access the data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access your reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Coverage of services available by territory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"National coverage\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real-time data in GBFS format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you have any questions, the transport.data.gouv.fr team is available to help you reuse this data.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Autorités Organisatrices de la Mobilité: Mobility Organizing Authorities\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GBFS resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Self-service vehicles\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Directly access the data\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/netex-documentation.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The element `%{name}` is required.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Section [%{title}](%{url}):\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sub-profile “%{title}”\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/netex-validator.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Composite frame ligne mandatory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame arret resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame calendrier resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame horaire resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame ligne resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Frame reseau resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Latitude mandatory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Longitude mandatory\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"UIC operating period\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Valid day bits\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Version any\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unspecified error\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"XSD validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"error\"\nmsgid_plural \"errors\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"information\"\nmsgid_plural \"informations\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"warning\"\nmsgid_plural \"warnings\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"no error\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/notification_subscription.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"daily_new_comments\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset_with_error\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"datasets_switching_climate_resilience_bill\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"expiration\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"new_dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resource_unavailable\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset_now_on_nap\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resources_changed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"periodic_reminder_producers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"promote_producer_space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"promote_reuser_space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"warn_user_inactivity\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/page-dataset-details.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\nmsgid \"GTFS Validation\"\nmsgstr \"\"\n\nmsgid \"Notices\"\nmsgstr \"\"\n\nmsgid \"Warnings\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Posted on %{datetime}\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Respond\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Begin a new conversation\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Title\"\nmsgstr \"\"\n\nmsgid \"You need to be connected to post comments\"\nmsgstr \"\"\n\nmsgid \"Publish a modified version dataset\"\nmsgstr \"\"\n\nmsgid \"Modified datasets\"\nmsgstr \"\"\n\nmsgid \"There is no linked dataset yet\"\nmsgstr \"\"\n\nmsgid \"Subscribe to dataset\"\nmsgstr \"\"\n\nmsgid \"Unsubscribe to dataset\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Object ID\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Object name\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Related object ID\"\nmsgstr \"\"\n\nmsgid \"Severity\"\nmsgstr \"\"\n\nmsgid \"Fatal\"\nmsgstr \"\"\n\nmsgid \"Error\"\nmsgstr \"\"\n\nmsgid \"Warning\"\nmsgstr \"\"\n\nmsgid \"Notice\"\nmsgstr \"\"\n\nmsgid \"UnusedStop\"\nmsgstr \"\"\n\nmsgid \"Slow\"\nmsgstr \"\"\n\nmsgid \"ExcessiveSpeed\"\nmsgstr \"\"\n\nmsgid \"NegativeTravelTime\"\nmsgstr \"\"\n\nmsgid \"CloseStops\"\nmsgstr \"\"\n\nmsgid \"NullDuration\"\nmsgstr \"\"\n\nmsgid \"InvalidReference\"\nmsgstr \"\"\n\nmsgid \"InvalidArchive\"\nmsgstr \"\"\n\nmsgid \"MissingRouteName\"\nmsgstr \"\"\n\nmsgid \"MissingId\"\nmsgstr \"\"\n\nmsgid \"MissingCoordinates\"\nmsgstr \"\"\n\nmsgid \"MissingName\"\nmsgstr \"\"\n\nmsgid \"InvalidCoordinates\"\nmsgstr \"\"\n\nmsgid \"InvalidRouteType\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"You need to be connected to start a discussion\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Answer published\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"New discussion started\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Unable to publish the answer\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Unable to start a new discussion\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Start a new discussion\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See on data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Website\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"tags: \"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Outdated\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Community resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Licence\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You're using this dataset? %{a_start}Send an email!%{a_end}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Display more\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Display less\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Log in\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No error detected\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset has been removed from data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Backed up resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{start} to %{end}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publication date\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validity period\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get details about this dataset via an %{start_link}API call%{end_link}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Covered area\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"during validation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resource format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"real-time\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real-time visualization of \"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization of the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Features available in the resource:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unavailable resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Up to date\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Not\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuses are temporarily unavailable\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource declared schema\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Version %{version}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Past versions of the dataset resources are available in the %{link} section.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"time to live (%{feed})\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"download availability over the last %{nb} days\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download availability\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"availability-test-explanations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unknown\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Additional service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Between %{start} and %{end}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Detour\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"From %{start}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Modified service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other effect\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reduced service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Service alerts\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop moved\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unknown effect\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Until %{end}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Significant delays\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS-RT feed content\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Copy to clipboard\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Here is a display of service alerts contained in this feed at %{date}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See full payload\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not decode the GTFS-RT feed.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Decoded GTFS-RT feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The GTFS-RT feed should be accessible over HTTP, without authentication and use the Protobuf format.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Here is the decoded GTFS-RT feed Protobuf at %{date}. You can look at <a href=\\\"%{link}\\\" target=\\\"_blank\\\">the GTFS-RT documentation</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Entities\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Entities present in this feed at %{date}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Entities seen in the last %{nb} days.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Documentation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reusers can share in this section edits made on resources%{odbl_text}. <a href=\\\"%{datagouv_link}\\\" target=\\\"_blank\\\">Publish your own ressource</a> on data.gouv.fr or <a href=\\\"%{doc_link}\\\" target=\\\"_blank\\\">browse our documentation.</a>\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \", in accordance with the share-alike clause (article 4.4) of <a href=\\\"%{doc_link}\\\" target=\\\"_blank\\\">the ODbL License</a>\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed decoding failed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Specific usage conditions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"and \"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producers can share in this section design guidelines, documentation, etc. Use the <a href=\\\"%{url}\\\" target=\\\"_blank\\\">documentation type</a> on data.gouv.fr.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resources with a schema\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Browse the API\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The <a href=\\\"%{link}\\\" target=\\\"_blank\\\">timestamp field</a> appears to be too old compared to the current time: the delay is %{seconds} seconds. Try to update your feed at most every 30 seconds.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Displaying the last %{nb} backed up resources.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download history details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data published by\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset has been archived from data.gouv.fr on %{date}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Try me!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real-time data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Static data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Accessibility issue\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No effect\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cannot determine the relevant GTFS file to use to perform a GTFS-RT validation.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS file to use with the GTFS-RT feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Related resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"OSM community guidelines\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Date\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notification reason\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications sent\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you are a data producer, you can <a href=\\\"%{url}\\\" target=\\\"_blank\\\">manage how you receive these notifications</a> from your Producer section.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr automatically sends notifications to data producers in order to improve the quality of data. The following notifications have been sent in the last %{nb} days.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"loading discussions...\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This transport service operates seasonally. The associated resources may be outdated depending on the time of year. Contact the data producer through Discussions for more information.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data producer\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Respond and close\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Quality indicators\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Latest quality indicators\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr computes quality indicators daily to assess the quality of the published data. <i class=\\\"fa fa-external-link-alt\\\"></i> <a href=\\\"%{doc_url}\\\" target=\\\"_blank\\\">Learn more</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare attributes\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare rules\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File or field\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line color\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line long name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line short name or line number\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"On-demand transport\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Quantity\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Status\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop accessibility\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The possibility of carrying a bicycle in the vehicle\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transfers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip accessibility\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip headsign\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip shapes\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The following table displays if the file/field is present in the GTFS.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Availability rate\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"latest-content-modification-label\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This dataset is hidden\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your comment\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Dataset added to your favorites! Personalise your settings from your <a href=\\\"%{url}\\\" target=\\\"_blank\\\">reuser space</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"<a href=\\\"%{url}\\\" target=\\\"_blank\\\">Log in or sign up</a> to benefit from dataset services.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage your dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Follow this dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage services for this dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The producer requires authentication to access the data. Consequently, some features on transport.data.gouv.fr, such as data availability, validations, and metadata, are unavailable for this dataset. Please follow the producer's instructions to gain access to the data.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data under the responsibility of\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This unofficial dataset is provided experimentally. Do not use it for travel information purpose.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regulator\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"latest-content-modification-popover\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare media\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Fare products\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport offers\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Respond or close\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This discussion is closed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You will find below reuses created by individuals or organizations based on this dataset.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download as GeoJSON\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Those resources are listed by the provider but are unreachable for now. <a href=\\\"%{url}\\\">Learn more</a>.\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/page-index.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they’re dynamic\n## translations that can’t be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\nmsgid \"Publish my data\"\nmsgstr \"\"\n\nmsgid \"Reuse data\"\nmsgstr \"\"\n\nmsgid \"Subscribe to our email newsletter to receive update\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Subscribe\"\nmsgstr \"\"\n\nmsgid \"Join us on\"\nmsgstr \"\"\n\nmsgid \"Download presentation\"\nmsgstr \"\"\n\nmsgid \"Publication guide\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Find dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"title\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"subtitle\"\nmsgstr \"\"\n\n#, elixir-format, elixir-autogen\nmsgid \"dataset\"\nmsgid_plural \"datasets\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See newly added datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Scheduled public transit\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See more statistics\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Territories covered\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Territory coverage\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"covered\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"out of\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"of the population\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Are you producing transport data ?\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Who is reusing data from\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"producer description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"reusers list description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Ask for help\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close the form\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close the menu\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Search for data for a region, a city, a network…\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Use our APIs\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You can also\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A freely accessible service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ALL French open mobility data at the same place\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Available data by theme\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Online tools to ease data reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Selected formats\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Selected licences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"facilitators list description, %{link}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"full list\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"They help us achieve our mission\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more about our missions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Producer space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate your data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport offers available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Open the menu\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/page-login.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"transport.data.gouv.fr belongs to the data.gouv.fr network, and share the same user account\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"After having clicked this button, you should click on 'accepter' to authorise transport.data.gouv.fr to access your data.gouv.fr account details\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"data.gouv.fr is the open platform for French public data\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Sign In with data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"By clicking this button, you'll be able to create an account or use your existing data.gouv.fr account to log in\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/page-nouveautes.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"New features\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/page-producteurs.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr help you publish your data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A number of administrations, companies and assocations use the French National Access Point to find mobility open-data in France.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access your producer section\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Contact us\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data publishing guidelines\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"For the users\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Go to transport.data.gouv.fr blog\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Help users find and use your data by following our publications guidelines.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Join the transport.data.gouv.fr community and stay informed!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Online validation tools\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our blog\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our reusers create applications allowing people to better use the mobility resources available around them.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Read here a summary of those obligations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Read our guidelines\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Read tutorials and users testimonies\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regulatory obligations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stay informed of the National Access Point latest news and upcoming functionalities.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The newsletter\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"To log in, you will be redirected to data.gouv.fr, the open platform for French public data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Users want quality data. Validate online GTFS files, GBFS feeds or any data following French national schemas.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Whether you are Autorité organisatrice de mobilité, délégataire de service public, or collectivité territoriale, you may be concerned by the laws loi pour une république numérique, la Loi Orientation des Mobilités and the european reglementation.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Welcome!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr is affiliated with data.gouv.fr, the open platform for French public data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you any question, send us an email and we'll be glad to help you!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Why should you publish your data?\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate a file or a feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Our social media accounts\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/page-shortlist.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\nmsgid \"Download\"\nmsgstr \"\"\n\nmsgid \"Licence\"\nmsgstr \"\"\n\nmsgid \"See on data.gouv.fr\"\nmsgstr \"\"\n\nmsgid \"Territory\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"Format\"\nmsgstr \"\"\n\nmsgid \"Status\"\nmsgstr \"\"\n\nmsgid \"Invalid\"\nmsgstr \"\"\n\nmsgid \"Valid\"\nmsgstr \"\"\n\nmsgid \"Valid datasets available\"\nmsgstr \"\"\n\nmsgid \"Last update\"\nmsgstr \"\"\n\nmsgid \"Publication date\"\nmsgstr \"\"\n\nmsgid \"Tags\"\nmsgstr \"\"\n\nmsgid \"Update frequency\"\nmsgstr \"\"\n\nmsgid \"unknown\"\nmsgstr \"\"\n\nmsgid \"punctual\"\nmsgstr \"\"\n\nmsgid \"hourly\"\nmsgstr \"\"\n\nmsgid \"fourTimesADay\"\nmsgstr \"\"\n\nmsgid \"threeTimesADay\"\nmsgstr \"\"\n\nmsgid \"semidaily\"\nmsgstr \"\"\n\nmsgid \"daily\"\nmsgstr \"\"\n\nmsgid \"fourTimesAWeek\"\nmsgstr \"\"\n\nmsgid \"threeTimesAWeek\"\nmsgstr \"\"\n\nmsgid \"semiweekly\"\nmsgstr \"\"\n\nmsgid \"weekly\"\nmsgstr \"\"\n\nmsgid \"biweekly\"\nmsgstr \"\"\n\nmsgid \"threeTimesAMonth\"\nmsgstr \"\"\n\nmsgid \"semimonthly\"\nmsgstr \"\"\n\nmsgid \"monthly\"\nmsgstr \"\"\n\nmsgid \"bimonthly\"\nmsgstr \"\"\n\nmsgid \"quarterly\"\nmsgstr \"\"\n\nmsgid \"threeTimesAYear\"\nmsgstr \"\"\n\nmsgid \"biannual\"\nmsgstr \"\"\n\nmsgid \"annual\"\nmsgstr \"\"\n\nmsgid \"biennial\"\nmsgstr \"\"\n\nmsgid \"triennial\"\nmsgstr \"\"\n\nmsgid \"quinquennial\"\nmsgstr \"\"\n\nmsgid \"irregular\"\nmsgstr \"\"\n\nmsgid \"tramway\"\nmsgstr \"\"\n\nmsgid \"subway\"\nmsgstr \"\"\n\nmsgid \"rail\"\nmsgstr \"\"\n\nmsgid \"bus\"\nmsgstr \"\"\n\nmsgid \"ferry\"\nmsgstr \"\"\n\nmsgid \"cable_car\"\nmsgstr \"\"\n\nmsgid \"gondola\"\nmsgstr \"\"\n\nmsgid \"funicular\"\nmsgstr \"\"\n\n#, elixir-autogen\nmsgid \"No dataset found\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Alphabetical\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Most recently added\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Order by\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Get dataset list via an API\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There is no data for city %{name}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There is no data for region %{name}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Real Time\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"with real time\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Any\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"created on\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"region\"\nmsgstr \"\"\n\n#, elixir-format, elixir-autogen\nmsgid \"result\"\nmsgid_plural \"results\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"city\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Regions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"category\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All (feminine)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Licences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource format\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sub type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"department\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"EPCI %{name} has not yet published any datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport offer\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data format\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/resource.pot",
    "content": "msgid \"Unable to get resources, please retry.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File uploaded!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unable to upload file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource updated with URL!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Add a new resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource modification\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This option allows you to update the resource on data.gouv.fr, directly from here.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource is not available on remote server\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This resource belongs to a dataset that has been deleted from data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This option allows you to add the resource on data.gouv.fr, directly from here. Do you want to publish a more up-to-date version of a resource? <a href=\\\"%{url}\\\">Update the resource</a> instead.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Date\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed name:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Format:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"An authentication is required to access this SIRI feed.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SIRI authentication\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The key (RequestorRef) to provide is <code class=\\\"inline\\\" id=\\\"siri_requestor_ref\\\">%{requestor_ref}</code>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"If you haven’t done it yet, think about <a href=\\\"%{link}\\\">validating your data</a> before publishing it.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not delete the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The resource has been deleted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Open with explore.data.gouv.fr\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Size:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Occurrences of the %{element} element.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of lines:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of quays:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of stop places:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NeTEx features:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"accessibility\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"fares\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"networks\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"parkings\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"timetables\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/reusable_data.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\nmsgid \"fr-lo\"\nmsgstr \"\"\n\nmsgid \"notspecified\"\nmsgstr \"\"\n\nmsgid \"odc-odbl\"\nmsgstr \"\"\n\nmsgid \"other-open\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/reuser-space.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No results\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notification bell\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive helpful notifications about your favorite datasets.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Receive notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Favorite datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Actions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"data expiration notification explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"resources changed notification explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"unavailable resources notification explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"validation errors notification explanation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Global notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Notifications by dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"notifications are good for you\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Access your reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Set up notifications\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"To log in, you will be redirected to data.gouv.fr, the open platform for French public data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Welcome!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr helps you follow the data you reuse\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"transport.data.gouv.fr is affiliated with data.gouv.fr, the open platform for French public data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"reuser-space-intro\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{dataset_title} has been removed from your favorites\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Cancel\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Remove from favorites\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Discussions\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Improved data sharing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Preferences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This feature is coming soon!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Warning, you are going to remove \\\"%{dataset_title}\\\" from your favorites. You will lose any settings or actions you previously performed on this dataset.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Only GTFS files are eligible for now.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Share improved data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your improved data URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Step 1: choose the initial resource from the producer\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Step 2: add the URL to download your improved data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You already shared improved data for this dataset, thanks!\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your improved data has been saved.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Organisation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Secret\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Settings\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"There are no tokens yet.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tokens\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"A name identifying the application using this token.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create a new token\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Token name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You need to be a member of an organisation to create new tokens.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your token has been created\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your token has been deleted\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Tokens can be used when using <a href=\\\"%{swagger_url}\\\" target=\\\"_blank\\\">the API</a>. The token should be included in the <code>Authorization</code> HTTP header. If your token is <code>foo</code>, you should send HTTP requests with the header <code>Authorization: foo</code>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Using tokens\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You can create or join an organisation on data.gouv.fr. <a href=\\\"%{doc_url}\\\" target=\\\"_blank\\\">See the documentation</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The token %{name} is now the default token\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Default token\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Delete\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"(by default)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declare a reuse\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declare your reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Highlight your reuses and make yourself known.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Personal token\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"API - Manage your tokens\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Create and manage your tokens independently.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Manage your tokens\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See the resource\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Important information on resources you follow\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Available services\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Alert hidden for 7 days\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Hide for 7 days\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/reuses.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new messages manually only if they're dynamic\n## messages that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\n#\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"dataset\"\nmsgid_plural \"datasets\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"api\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"application\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"hardware\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"news_article\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"paper\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"post\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"visualization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"idea\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"index-intro\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish a reuse\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Find reuses\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"-- All --\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Declared reuses\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/seo.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{format} Transport open dataset - %{title} for %{custom_title} - %{territory}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Publish, improve and reuse French public transport data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport open datasets for %{type} %{name}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{name} EPCI: Transport open datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{q}: Available transport open datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{custom_title} - Open %{formats} datasets - %{territory}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"National Access Point for transport open data\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport open datasets for city %{name}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Data quality evaluation\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"State of transport open data for french AOMs\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"State of transport open data in France\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Reuser space\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{name} department: Transport open datasets\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport open datasets for transport offer %{name}\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Transport open datasets for data format %{name}\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/stats.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Service alerts\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip updates\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Vehicle positions\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/user.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\nmsgid \"First step\"\nmsgstr \"\"\n\nmsgid \"Select an organization that publishes transport data\"\nmsgstr \"\"\n\nmsgid \"This organization publishes transport data\"\nmsgstr \"\"\n\nmsgid \"Choose a dataset you want to be on transport.data.gouv.fr\"\nmsgstr \"\"\n\nmsgid \"Second step\"\nmsgstr \"\"\n\nmsgid \"Add this dataset\"\nmsgstr \"\"\n\nmsgid \"Organization\"\nmsgstr \"\"\n\nmsgid \"Go back to organizations list\"\nmsgstr \"\"\n\nmsgid \"Create an organization\"\nmsgstr \"\"\n\nmsgid \"You need to add a dataset on data.gouv.fr\"\nmsgstr \"\"\n\nmsgid \"Organization's description\"\nmsgstr \"\"\n\nmsgid \"Organization's name\"\nmsgstr \"\"\n\nmsgid \"Create organization\"\nmsgstr \"\"\n\nmsgid \"Organization added\"\nmsgstr \"\"\n\nmsgid \"You need to provide an organisation description\"\nmsgstr \"\"\n\nmsgid \"You need to provide an organisation name\"\nmsgstr \"\"\n\nmsgid \"Upload a new dataset\"\nmsgstr \"\"\n\nmsgid \"Upload dataset\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/validation.pot",
    "content": "## This file is a PO Template file.\n##\n## \"msgid\"s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run \"mix gettext.extract\" to bring this file up to\n## date. Leave \"msgstr\"s empty as changing them here has no\n## effect: edit them in PO (.po) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation not found. On-demand validation results have been reinitialized on 2022-05-30. Please validate your file again.\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/validations-explanations.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"DuplicateStops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Impacted file:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Close stop\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stop name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"ExtraFile\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Next stop and service\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SpeedIssue\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"MissingFile\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"UnusedStop\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"CoordinatesIssue\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error detail:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"at line\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The file does not comply with the GTFS specification, the tool cannot perform all the checks.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Glimpse of the file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error on file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Shape ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Some shape id used in trips.txt are not defined in shapes.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Some shapes defined in shapes.txt are not used in trips.txt\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Trip ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"MissingId\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"MissingName\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Object type\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Object ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"DuplicateStopSequence\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Related stops\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"SubFolder\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NegativeStopDuration\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Message\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Unknown location\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"UnusableTrip\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NoCalendar\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Here is a summary of XSD validation errors. Full detail of those errors is available in the <a href=\\\"%{validation_report_url}\\\" target=\\\"_blank\\\">CSV report</a>. Those errors are produced by <a href=\\\"https://gnome.pages.gitlab.gnome.org/libxml2/xmllint.html\\\" target=\\\"_blank\\\">xmllint</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Occurrences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"The following errors are only available in English.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Line\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/gettext/validations.pot",
    "content": "## This file is a PO Template file.\n##\n## `msgid`s here are often extracted from source code.\n## Add new translations manually only if they're dynamic\n## translations that can't be statically extracted.\n##\n## Run `mix gettext.extract` to bring this file up to\n## date. Leave `msgstr`s empty as changing them here as no\n## effect: edit them in PO (`.po`) files instead.\nmsgid \"\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No validation available\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other resources\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS review report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This report can be shared with\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"this permanent link\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Nice work, there are no issues!\"\nmsgstr \"\"\n\n#, elixir-format, elixir-autogen\nmsgid \"network\"\nmsgid_plural \"networks\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-format, elixir-autogen\nmsgid \"transport mode\"\nmsgid_plural \"transport modes\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File name\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"It is valid from\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Resource details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This resource file is part of the dataset\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"to\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"explanations-gtfs\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"explanations-netex\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Show anyway\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stops visualization is quite big\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stops and routes visualization of the GTFS file\"\nmsgstr \"\"\n\n#, elixir-format, elixir-autogen\nmsgctxt \"errors\"\nmsgid \"error\"\nmsgid_plural \"errors\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Showing only the first %{nb} errors.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This resource should follow its schema %{link}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No error detected\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization up-to-date %{hours} ago.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Choose your file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Last updated at %{date}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation results\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Are you the producer of this data? Once you have fixed your errors, you can verify that your file is valid <a href=\\\"%{link}\\\" target=\\\"_blank\\\">using our validators</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Sample errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation carried out using the <a href=\\\"%{gtfs_link}\\\">current GTFS file</a> and the <a href=\\\"%{gtfs_rt_link}\\\">GTFS-RT</a> the %{date} using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">MobilityData GTFS-RT validator</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Warnings\"\nmsgstr \"\"\n\n#, elixir-format, elixir-autogen\nmsgctxt \"warnings\"\nmsgid \"warning\"\nmsgid_plural \"warnings\"\nmsgstr[0] \"\"\nmsgstr[1] \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Check the quality of a file or a feed\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GBFS validation report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This is the validation report of the GBFS feed %{link}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Feed details\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation performed at %{date}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your GTFS realtime's URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Your GTFS' URL\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate this GTFS-RT now\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Each GTFS-RT feed can only be validated once per 5 minutes. Please wait a moment and try again.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"GTFS-RT feeds change in real-time. This validation report shows the validation result performed at %{date}. You can relaunch a validation later on and get different results.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This validation concerns the given GTFS-RT feed and GTFS file and has been carried out using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">MobilityData GTFS-RT validator</a>. It does not validate the GTFS itself. You can validate your GTFS file <a href=\\\"%{gtfs_validator}\\\">using our GTFS validator</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Visualization is quite big\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No validation error\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See all your errors <a href=\\\"%{url}\\\" target=\\\"_blank\\\">using the web interface</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"See <a href=\\\"%{report_url}\\\" target=\\\"_blank\\\">the validation report</a> online.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation carried out the %{date} using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">MobilityData validator</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validate this GBFS now\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Upload in progress\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation carried out using the <a href=\\\"%{link}\\\">current %{format} file</a> the %{date} using the <a href=\\\"%{validator_url}\\\" target=\\\"_blank\\\">%{validator_name}</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"from\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"%{count} times (%{percentage} % of validations)\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error ID\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors count\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Here is a recap of all the error types encountered over the last %{nb} days.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Number of occurences\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Previous validations\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Many validation errors indicate that the GTFS-RT identifiers do not match the GTFS identifiers.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Shapes present in the GTFS have been ignored, some rules are not enforced.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"calendar span by network:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of routes:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of stop areas:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"number of stop points:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NeTEx review report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Elapsed time: %{duration}.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"NeTEx validation is in beta.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"less than 1 second\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"PAN GTFS validator\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"enRoute Chouette Valid\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"xsd-schema-description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"xsd-schema-hints\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Base rules\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"base-rules-description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Other errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"netex-french-profile-no-compliance\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"netex-french-profile-partial-compliance\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"French profile\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"french-profile-description\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"during %{retention_days} days\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This validation is now expired. Results cannot be accessed anymore.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Information\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Relevant files\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Relevant links\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Canonical GTFS Schedule Validator\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Public transit\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Vehicles sharing\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE, ZFE, carpooling, bike data etc.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Road mobility and bike\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"As a CSV file:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"As a Parquet file:\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Download the report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more about it <a href=\\\"%{parquet_url}\\\" target=\\\"_blank\\\">here</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"No validation error. No report to download.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Parquet is way more compact file format but it will require you to use some dedicated tooling.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"XSD\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"All rules of this category are respected.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"List of French Profile rules currently checked\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Learn more\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Stops and routes visualization of the NeTEx file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Column\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Could not validate file rows because of file-level errors.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Error samples\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Errors by column\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File-level errors\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"IRVE Statique validation report\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Invalid rows\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"This validation now uses our integrated IRVE Statique validator.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Total rows\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Valid rows\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Validation file\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"Value\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"You can still use the previous <a href=\\\"%{url}\\\" target=\\\"_blank\\\">Validata validator</a>.\"\nmsgstr \"\"\n\n#, elixir-autogen, elixir-format\nmsgid \"File is too large, must be <%{max_file_size}.\"\nmsgstr \"\"\n"
  },
  {
    "path": "apps/transport/priv/irve_prioritary_datasets.yml",
    "content": "# Prioritary datasets for IRVE deduplication.\n#\n# Lowest priority number = highest priority (1 = top priority).\n# Don't put two datasets on the same priority level.\n# Each dataset must have only a single resource tagged as static IRVE schema.\n\n# Qualicharge\n- datagouv_dataset_id: \"6818bce2d9af175f6e01a1b2\"\n  priority: 1\n\n# Gireve\n- datagouv_dataset_id: \"63dccb1307e9b2f213a5130c\"\n  priority: 2\n\n# Eco-movement\n- datagouv_dataset_id: \"64060c2ac773dcf3fabbe5d2\"\n  priority: 3\n\n"
  },
  {
    "path": "apps/transport/priv/mobilitydata_gtfs_rules.json",
    "content": "{\n   \"attribution_without_role\":{\n      \"code\":\"attribution_without_role\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Attribution with no role.\",\n      \"description\":\"At least one of the fields `is_producer`, `is_operator`, or `is_authority` should be set to\\n1.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"attributions.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"attributionId\":{\n            \"fieldName\":\"attributionId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"bidirectional_exit_gate\":{\n      \"code\":\"bidirectional_exit_gate\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Pathway is bidirectional and has mode 7 (exit gate).\",\n      \"description\":\"Exit gates (pathway_mode\\u003d7) must not be bidirectional.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"pathways.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the validated record.\",\n            \"type\":\"integer\"\n         },\n         \"isBidirectional\":{\n            \"fieldName\":\"isBidirectional\",\n            \"description\":\"Whether the pathway is bidirectional.\",\n            \"type\":\"integer\"\n         },\n         \"pathwayMode\":{\n            \"fieldName\":\"pathwayMode\",\n            \"description\":\"The pathway mode.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"block_trips_with_overlapping_stop_times\":{\n      \"code\":\"block_trips_with_overlapping_stop_times\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Trips with the same block id have overlapping stop times.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"trips.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"blockId\":{\n            \"fieldName\":\"blockId\",\n            \"description\":\"The `trips.block_id` of the overlapping trip.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumberA\":{\n            \"fieldName\":\"csvRowNumberA\",\n            \"description\":\"The row number from `trips.txt` of the first faulty trip.\",\n            \"type\":\"integer\"\n         },\n         \"csvRowNumberB\":{\n            \"fieldName\":\"csvRowNumberB\",\n            \"description\":\"The row number from `trips.txt` of the second faulty trip.\",\n            \"type\":\"integer\"\n         },\n         \"intersection\":{\n            \"fieldName\":\"intersection\",\n            \"description\":\"The overlapping period.\",\n            \"type\":\"string\"\n         },\n         \"serviceIdA\":{\n            \"fieldName\":\"serviceIdA\",\n            \"description\":\"The service id of the first faulty trip.\",\n            \"type\":\"string\"\n         },\n         \"serviceIdB\":{\n            \"fieldName\":\"serviceIdB\",\n            \"description\":\"The service id of the other faulty trip.\",\n            \"type\":\"string\"\n         },\n         \"tripIdA\":{\n            \"fieldName\":\"tripIdA\",\n            \"description\":\"The id of first faulty trip.\",\n            \"type\":\"string\"\n         },\n         \"tripIdB\":{\n            \"fieldName\":\"tripIdB\",\n            \"description\":\"The id of the other faulty trip.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"csv_parsing_failed\":{\n      \"code\":\"csv_parsing_failed\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Parsing of a CSV file failed.\",\n      \"description\":\"One common case of the problem is when a cell value contains more than 4096 characters.\",\n      \"properties\":{\n         \"charIndex\":{\n            \"fieldName\":\"charIndex\",\n            \"description\":\"The location of the last character read from before the error occurred.\",\n            \"type\":\"integer\"\n         },\n         \"columnIndex\":{\n            \"fieldName\":\"columnIndex\",\n            \"description\":\"The column index where the exception occurred.\",\n            \"type\":\"integer\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         },\n         \"lineIndex\":{\n            \"fieldName\":\"lineIndex\",\n            \"description\":\"The line number where the exception occurred.\",\n            \"type\":\"integer\"\n         },\n         \"message\":{\n            \"fieldName\":\"message\",\n            \"description\":\"The detailed message describing the error, and the internal state of the parser/writer.\",\n            \"type\":\"string\"\n         },\n         \"parsedContent\":{\n            \"fieldName\":\"parsedContent\",\n            \"description\":\"The record number when the exception occurred.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"decreasing_or_equal_stop_time_distance\":{\n      \"code\":\"decreasing_or_equal_stop_time_distance\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Decreasing or equal `shape_dist_traveled` in `stop_times.txt`.\",\n      \"description\":\"When sorted by `stop_times.stop_sequence`, two consecutive entries in `stop_times.txt`\\nshould have increasing distance, based on the field `shape_dist_traveled`. If the values are\\nequal, this is considered as an error.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `stop_times.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"prevCsvRowNumber\":{\n            \"fieldName\":\"prevCsvRowNumber\",\n            \"description\":\"The row number from `stop_times.txt` of the previous stop time.\",\n            \"type\":\"integer\"\n         },\n         \"prevShapeDistTraveled\":{\n            \"fieldName\":\"prevShapeDistTraveled\",\n            \"description\":\"Actual distance traveled along the shape from the first shape point to the previous stop\\ntime.\",\n            \"type\":\"number\"\n         },\n         \"prevStopSequence\":{\n            \"fieldName\":\"prevStopSequence\",\n            \"description\":\"The previous record\\u0027s `stop_times.stop_sequence`.\",\n            \"type\":\"integer\"\n         },\n         \"shapeDistTraveled\":{\n            \"fieldName\":\"shapeDistTraveled\",\n            \"description\":\"Actual distance traveled along the shape from the first shape point to the faulty record.\",\n            \"type\":\"number\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty stop.\",\n            \"type\":\"string\"\n         },\n         \"stopSequence\":{\n            \"fieldName\":\"stopSequence\",\n            \"description\":\"The faulty record\\u0027s `stop_times.stop_sequence`.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The id of the faulty trip.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"decreasing_shape_distance\":{\n      \"code\":\"decreasing_shape_distance\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Decreasing `shape_dist_traveled` in `shapes.txt`.\",\n      \"description\":\"When sorted by `shape.shape_pt_sequence`, two consecutive shape points must not have\\ndecreasing values for `shape_dist_traveled`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"shapes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `shapes.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"prevCsvRowNumber\":{\n            \"fieldName\":\"prevCsvRowNumber\",\n            \"description\":\"The row number from `shapes.txt` of the previous shape point.\",\n            \"type\":\"integer\"\n         },\n         \"prevShapeDistTraveled\":{\n            \"fieldName\":\"prevShapeDistTraveled\",\n            \"description\":\"Actual distance traveled along the shape from the first shape point to the previous shape\\npoint.\",\n            \"type\":\"number\"\n         },\n         \"prevShapePtSequence\":{\n            \"fieldName\":\"prevShapePtSequence\",\n            \"description\":\"The previous record\\u0027s `shapes.shape_pt_sequence`.\",\n            \"type\":\"integer\"\n         },\n         \"shapeDistTraveled\":{\n            \"fieldName\":\"shapeDistTraveled\",\n            \"description\":\"Actual distance traveled along the shape from the first shape point to the faulty record.\",\n            \"type\":\"number\"\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The id of the faulty shape.\",\n            \"type\":\"string\"\n         },\n         \"shapePtSequence\":{\n            \"fieldName\":\"shapePtSequence\",\n            \"description\":\"The faulty record\\u0027s `shapes.shape_pt_sequence`.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"duplicate_fare_media\":{\n      \"code\":\"duplicate_fare_media\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Two distinct fare media have the same fare media name and type.\",\n      \"description\":\"Fare media should have a unique combination of fare media name and type.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"fare_media.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber1\":{\n            \"fieldName\":\"csvRowNumber1\",\n            \"description\":\"The row number of the first fare media.\",\n            \"type\":\"integer\"\n         },\n         \"csvRowNumber2\":{\n            \"fieldName\":\"csvRowNumber2\",\n            \"description\":\"The row number of the second fare media.\",\n            \"type\":\"integer\"\n         },\n         \"fareMediaId1\":{\n            \"fieldName\":\"fareMediaId1\",\n            \"description\":\"The id of the first fare media.\",\n            \"type\":\"string\"\n         },\n         \"fareMediaId2\":{\n            \"fieldName\":\"fareMediaId2\",\n            \"description\":\"The id of the second fare media.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"duplicate_geo_json_key\":{\n      \"code\":\"duplicate_geo_json_key\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A key in `locations.geojson` is duplicated.\",\n      \"description\":\"The key must be unique for each feature in the GeoJSON file.\",\n      \"properties\":{\n         \"featureId\":{\n            \"fieldName\":\"featureId\",\n            \"description\":\"The duplicated key.\",\n            \"type\":\"string\"\n         },\n         \"firstIndex\":{\n            \"fieldName\":\"firstIndex\",\n            \"description\":\"The index of the first feature with the same key.\",\n            \"type\":\"integer\"\n         },\n         \"secondIndex\":{\n            \"fieldName\":\"secondIndex\",\n            \"description\":\"The index of the other feature with the same key.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"duplicate_geography_id\":{\n      \"code\":\"duplicate_geography_id\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Geography id is duplicated across multiple files.\",\n      \"description\":\"ID must be unique across all `stops.stop_id`, `locations.geojson` `id`, and\\n`location_groups.location_group_id` values.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"location_groups.txt\",\n            \"stop_times.txt\",\n            \"location_groups.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumberA\":{\n            \"fieldName\":\"csvRowNumberA\",\n            \"description\":\"The csv row number in stops.txt\",\n            \"type\":\"integer\"\n         },\n         \"csvRowNumberB\":{\n            \"fieldName\":\"csvRowNumberB\",\n            \"description\":\"The csv row number in location_group_stops.txt\",\n            \"type\":\"integer\"\n         },\n         \"featureIndex\":{\n            \"fieldName\":\"featureIndex\",\n            \"description\":\"The feature index in locations.geojson\",\n            \"type\":\"integer\"\n         },\n         \"geographyId\":{\n            \"fieldName\":\"geographyId\",\n            \"description\":\"The geography id that is duplicated.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"duplicate_key\":{\n      \"code\":\"duplicate_key\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Duplicated entity.\",\n      \"description\":\"The values of the given key and rows are duplicates.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"fieldName1\":{\n            \"fieldName\":\"fieldName1\",\n            \"description\":\"Composite key\\u0027s first field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldName2\":{\n            \"fieldName\":\"fieldName2\",\n            \"description\":\"Composite key\\u0027s second field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue1\":{\n            \"fieldName\":\"fieldValue1\",\n            \"description\":\"Composite key\\u0027s first value.\",\n            \"type\":\"object\"\n         },\n         \"fieldValue2\":{\n            \"fieldName\":\"fieldValue2\",\n            \"description\":\"Composite key\\u0027s second value.\",\n            \"type\":\"object\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file\",\n            \"type\":\"string\"\n         },\n         \"newCsvRowNumber\":{\n            \"fieldName\":\"newCsvRowNumber\",\n            \"description\":\"The row of the other occurrence.\",\n            \"type\":\"integer\"\n         },\n         \"oldCsvRowNumber\":{\n            \"fieldName\":\"oldCsvRowNumber\",\n            \"description\":\"The row of the first occurrence.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"duplicate_route_name\":{\n      \"code\":\"duplicate_route_name\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Two distinct routes have either the same `route_short_name`, the same `route_long_name`, or the same combination of `route_short_name` and `route_long_name`.\",\n      \"description\":\"All routes of the same `route_type` with the same `agency_id` should have unique\\ncombinations of `route_short_name` and `route_long_name`.\\n\\nNote that there may be valid cases where routes have the same short and long name, e.g., if\\nthey serve different areas. However, different directions must be modeled as the same route.\\n\\nExample of bad data:\\n\\n\\u003ctable style\\u003d\\\"table-layout:auto; width:auto;\\\"\\u003e\\n  \\u003ctr\\u003e\\n    \\u003cth\\u003e\\u003ccode\\u003eroute_id\\u003c/code\\u003e\\u003c/th\\u003e\\n    \\u003cth\\u003e\\u003ccode\\u003eroute_short_name\\u003c/code\\u003e\\u003c/th\\u003e\\n    \\u003cth\\u003e\\u003ccode\\u003eroute_long_name\\u003c/code\\u003e\\u003c/th\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003eroute1\\u003c/td\\u003e\\n    \\u003ctd\\u003eU1\\u003c/td\\u003e\\n    \\u003ctd\\u003eSouthern\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003eroute2\\u003c/td\\u003e\\n    \\u003ctd\\u003eU1\\u003c/td\\u003e\\n    \\u003ctd\\u003eSouthern\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n\\u003c/table\\u003e\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n            \"routes.txt\"\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"agencyId\":{\n            \"fieldName\":\"agencyId\",\n            \"description\":\"Common `routes.agency_id`.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber1\":{\n            \"fieldName\":\"csvRowNumber1\",\n            \"description\":\"The row number of the first occurrence.\",\n            \"type\":\"integer\"\n         },\n         \"csvRowNumber2\":{\n            \"fieldName\":\"csvRowNumber2\",\n            \"description\":\"The row number of the other occurrence.\",\n            \"type\":\"integer\"\n         },\n         \"routeId1\":{\n            \"fieldName\":\"routeId1\",\n            \"description\":\"The id of the the first occurrence.\",\n            \"type\":\"string\"\n         },\n         \"routeId2\":{\n            \"fieldName\":\"routeId2\",\n            \"description\":\"The id of the the other occurrence.\",\n            \"type\":\"string\"\n         },\n         \"routeLongName\":{\n            \"fieldName\":\"routeLongName\",\n            \"description\":\"Common `routes.route_long_name`.\",\n            \"type\":\"string\"\n         },\n         \"routeShortName\":{\n            \"fieldName\":\"routeShortName\",\n            \"description\":\"Common `routes.route_short_name`.\",\n            \"type\":\"string\"\n         },\n         \"routeTypeValue\":{\n            \"fieldName\":\"routeTypeValue\",\n            \"description\":\"Common `routes.route_type`.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"duplicated_column\":{\n      \"code\":\"duplicated_column\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Duplicated column in CSV.\",\n      \"description\":\"The input file CSV header has the same column name repeated.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the faulty field.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         },\n         \"firstIndex\":{\n            \"fieldName\":\"firstIndex\",\n            \"description\":\"Index of the first occurrence.\",\n            \"type\":\"integer\"\n         },\n         \"secondIndex\":{\n            \"fieldName\":\"secondIndex\",\n            \"description\":\"Index of the other occurrence.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"empty_column_name\":{\n      \"code\":\"empty_column_name\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A column name is empty.\",\n      \"description\":\"Such columns are skipped by the validator.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         },\n         \"index\":{\n            \"fieldName\":\"index\",\n            \"description\":\"The index of the empty column.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"empty_file\":{\n      \"code\":\"empty_file\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A CSV file is empty.\",\n      \"description\":\"Empty csv file found in the archive: file does not have any headers, or is a required file and\\ndoes not have any data. The GTFS specification requires the first line of each file to contain\\nfield names and required files must have data.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"empty_row\":{\n      \"code\":\"empty_row\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A row in the input file has only spaces.\",\n      \"description\":\"Some CSV parsers, such as Univocity, may misinterpret it as a non-empty row that has a single\\ncolumn which is empty, hence we show a warning.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"equal_shape_distance_diff_coordinates\":{\n      \"code\":\"equal_shape_distance_diff_coordinates\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Two consecutive points have equal `shape_dist_traveled` and different lat/lon coordinates in `shapes.txt` and the distance between the two points is greater than the 1.11m.\",\n      \"description\":\"When sorted by `shape.shape_pt_sequence`, the values for `shape_dist_traveled` must increase\\nalong a shape. Two consecutive points with equal values for `shape_dist_traveled` and different\\ncoordinates indicate an error.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"shapes.txt\",\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"actualDistanceBetweenShapePoints\":{\n            \"fieldName\":\"actualDistanceBetweenShapePoints\",\n            \"description\":\"Actual distance traveled along the shape from the first shape point to the previous shape\\npoint.\",\n            \"type\":\"number\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `shapes.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"prevCsvRowNumber\":{\n            \"fieldName\":\"prevCsvRowNumber\",\n            \"description\":\"The row number from `shapes.txt` of the previous shape point.\",\n            \"type\":\"integer\"\n         },\n         \"prevShapeDistTraveled\":{\n            \"fieldName\":\"prevShapeDistTraveled\",\n            \"description\":\"The previous shape point\\u0027s `shape_dist_traveled` value.\",\n            \"type\":\"number\"\n         },\n         \"prevShapePtSequence\":{\n            \"fieldName\":\"prevShapePtSequence\",\n            \"description\":\"The previous record\\u0027s `shapes.shape_pt_sequence`.\",\n            \"type\":\"integer\"\n         },\n         \"shapeDistTraveled\":{\n            \"fieldName\":\"shapeDistTraveled\",\n            \"description\":\"The faulty record\\u0027s `shape_dist_traveled` value.\",\n            \"type\":\"number\"\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The id of the faulty shape.\",\n            \"type\":\"string\"\n         },\n         \"shapePtSequence\":{\n            \"fieldName\":\"shapePtSequence\",\n            \"description\":\"The faulty record\\u0027s `shapes.shape_pt_sequence`.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"equal_shape_distance_diff_coordinates_distance_below_threshold\":{\n      \"code\":\"equal_shape_distance_diff_coordinates_distance_below_threshold\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Two consecutive points have equal `shape_dist_traveled` and different lat/lon coordinates in `shapes.txt` and the distance between the two points is greater than 0 but less than 1.11m.\",\n      \"description\":\"When sorted by `shape.shape_pt_sequence`, the values for `shape_dist_traveled` must increase\\nalong a shape. Two consecutive points with equal values for `shape_dist_traveled` and small\\ndifference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"shapes.txt\",\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"actualDistanceBetweenShapePoints\":{\n            \"fieldName\":\"actualDistanceBetweenShapePoints\",\n            \"description\":\"Actual distance traveled along the shape from the first shape point to the previous shape\\npoint.\",\n            \"type\":\"number\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `shapes.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"prevCsvRowNumber\":{\n            \"fieldName\":\"prevCsvRowNumber\",\n            \"description\":\"The row number from `shapes.txt` of the previous shape point.\",\n            \"type\":\"integer\"\n         },\n         \"prevShapeDistTraveled\":{\n            \"fieldName\":\"prevShapeDistTraveled\",\n            \"description\":\"The previous shape point\\u0027s `shape_dist_traveled` value.\",\n            \"type\":\"number\"\n         },\n         \"prevShapePtSequence\":{\n            \"fieldName\":\"prevShapePtSequence\",\n            \"description\":\"The previous record\\u0027s `shapes.shape_pt_sequence`.\",\n            \"type\":\"integer\"\n         },\n         \"shapeDistTraveled\":{\n            \"fieldName\":\"shapeDistTraveled\",\n            \"description\":\"The faulty record\\u0027s `shape_dist_traveled` value.\",\n            \"type\":\"number\"\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The id of the faulty shape.\",\n            \"type\":\"string\"\n         },\n         \"shapePtSequence\":{\n            \"fieldName\":\"shapePtSequence\",\n            \"description\":\"The faulty record\\u0027s `shapes.shape_pt_sequence`.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"equal_shape_distance_same_coordinates\":{\n      \"code\":\"equal_shape_distance_same_coordinates\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Two consecutive points have equal `shape_dist_traveled` and the same lat/lon coordinates in `shapes.txt`.\",\n      \"description\":\"When sorted by `shape.shape_pt_sequence`, the values for `shape_dist_traveled` must increase\\nalong a shape. Two consecutive points with equal values for `shape_dist_traveled` and the same\\ncoordinates indicate a duplicative shape point.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"shapes.txt\",\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `shapes.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"prevCsvRowNumber\":{\n            \"fieldName\":\"prevCsvRowNumber\",\n            \"description\":\"The row number from `shapes.txt` of the previous shape point.\",\n            \"type\":\"integer\"\n         },\n         \"prevShapeDistTraveled\":{\n            \"fieldName\":\"prevShapeDistTraveled\",\n            \"description\":\"Actual distance traveled along the shape from the first shape point to the previous shape\\npoint.\",\n            \"type\":\"number\"\n         },\n         \"prevShapePtSequence\":{\n            \"fieldName\":\"prevShapePtSequence\",\n            \"description\":\"The previous record\\u0027s `shapes.shape_pt_sequence`.\",\n            \"type\":\"integer\"\n         },\n         \"shapeDistTraveled\":{\n            \"fieldName\":\"shapeDistTraveled\",\n            \"description\":\"Actual distance traveled along the shape from the first shape point to the faulty record.\",\n            \"type\":\"number\"\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The id of the faulty shape.\",\n            \"type\":\"string\"\n         },\n         \"shapePtSequence\":{\n            \"fieldName\":\"shapePtSequence\",\n            \"description\":\"The faulty record\\u0027s `shapes.shape_pt_sequence`.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"expired_calendar\":{\n      \"code\":\"expired_calendar\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Dataset should not contain date ranges for services that have already expired.\",\n      \"description\":\"This warning takes into account the `calendar_dates.txt` file as well as the `calendar.txt`\\nfile.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Dataset Publishing \\u0026 General Practices\",\n               \"url\":\"https://gtfs.org/schedule/reference/#dataset-publishing-general-practices\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"serviceId\":{\n            \"fieldName\":\"serviceId\",\n            \"description\":\"The service id of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"fare_product_with_multiple_default_rider_categories\":{\n      \"code\":\"fare_product_with_multiple_default_rider_categories\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"This notice is generated when a fare product is associated with multiple rider categories that are marked as default.\",\n      \"description\":\"Each fare product should have at most one default rider category.\",\n      \"properties\":{\n         \"csvRowNumber1\":{\n            \"fieldName\":\"csvRowNumber1\",\n            \"description\":\"The CSV row number of the first occurrence of the default rider category\",\n            \"type\":\"integer\"\n         },\n         \"csvRowNumber2\":{\n            \"fieldName\":\"csvRowNumber2\",\n            \"description\":\"The CSV row number of the second occurrence of the default rider category\",\n            \"type\":\"integer\"\n         },\n         \"fareProductId\":{\n            \"fieldName\":\"fareProductId\",\n            \"description\":\"The ID of the fare product associated with the notice\",\n            \"type\":\"string\"\n         },\n         \"riderCategoryId1\":{\n            \"fieldName\":\"riderCategoryId1\",\n            \"description\":\"The ID of the first rider category that is marked as default\",\n            \"type\":\"string\"\n         },\n         \"riderCategoryId2\":{\n            \"fieldName\":\"riderCategoryId2\",\n            \"description\":\"The ID of the second rider category that is marked as default\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"fare_transfer_rule_duration_limit_type_without_duration_limit\":{\n      \"code\":\"fare_transfer_rule_duration_limit_type_without_duration_limit\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A row from GTFS file `fare_transfer_rules.txt` has a defined `duration_limit_type` field but no `duration_limit` specified.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"fare_transfer_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"fare_transfer_rule_duration_limit_without_type\":{\n      \"code\":\"fare_transfer_rule_duration_limit_without_type\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A row from GTFS file `fare_transfer_rules.txt` has a defined `duration_limit` field but no `duration_limit_type` specified.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"fare_transfer_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"fare_transfer_rule_invalid_transfer_count\":{\n      \"code\":\"fare_transfer_rule_invalid_transfer_count\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A row from GTFS file `fare_transfer_rules.txt` has a defined `transfer_count` with an invalid value.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"fare_transfer_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"transferCount\":{\n            \"fieldName\":\"transferCount\",\n            \"description\":\"The transfer count value of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"fare_transfer_rule_missing_transfer_count\":{\n      \"code\":\"fare_transfer_rule_missing_transfer_count\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A row from `fare_transfer_rules.txt` has `from_leg_group_id` equal to `to_leg_group_id`, but has no `transfer_count` specified.\",\n      \"description\":\"Per the spec, `transfer_count` is required if the two leg group ids are equal.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"fare_transfer_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"fare_transfer_rule_with_forbidden_transfer_count\":{\n      \"code\":\"fare_transfer_rule_with_forbidden_transfer_count\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A row from `fare_transfer_rules.txt` has `from_leg_group_id` not equal to `to_leg_group_id`, but has `transfer_count` specified.\",\n      \"description\":\"Per the spec, `transfer_count` is forbidden if the two leg group ids are not equal.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"fare_transfer_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"fast_travel_between_consecutive_stops\":{\n      \"code\":\"fast_travel_between_consecutive_stops\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A transit vehicle moves too fast between two consecutive stops.\",\n      \"description\":\"The speed threshold depends on route type:\\n\\n\\u003ctable style\\u003d\\\"width: auto; table-layout: auto;\\\"\\u003e\\n     \\u003ctr\\u003e\\n       \\u003cth\\u003eRoute type\\u003c/th\\u003e\\n       \\u003cth\\u003eDescription\\u003c/th\\u003e\\n       \\u003cth\\u003eThreshold, km/h\\u003c/th\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e0\\u003c/td\\u003e\\n       \\u003ctd\\u003eLight rail\\u003c/td\\u003e\\n       \\u003ctd\\u003e100\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e1\\u003c/td\\u003e\\n       \\u003ctd\\u003eSubway\\u003c/td\\u003e\\n       \\u003ctd\\u003e150\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e2\\u003c/td\\u003e\\n       \\u003ctd\\u003eRail\\u003c/td\\u003e\\n       \\u003ctd\\u003e500\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e3\\u003c/td\\u003e\\n       \\u003ctd\\u003eBus\\u003c/td\\u003e\\n       \\u003ctd\\u003e150\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e4\\u003c/td\\u003e\\n       \\u003ctd\\u003eFerry\\u003c/td\\u003e\\n       \\u003ctd\\u003e80\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e5\\u003c/td\\u003e\\n       \\u003ctd\\u003eCable tram\\u003c/td\\u003e\\n       \\u003ctd\\u003e30\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e6\\u003c/td\\u003e\\n       \\u003ctd\\u003eAerial lift\\u003c/td\\u003e\\n       \\u003ctd\\u003e50\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e7\\u003c/td\\u003e\\n       \\u003ctd\\u003eFunicular\\u003c/td\\u003e\\n       \\u003ctd\\u003e50\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e11\\u003c/td\\u003e\\n       \\u003ctd\\u003eTrolleybus\\u003c/td\\u003e\\n       \\u003ctd\\u003e150\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e12\\u003c/td\\u003e\\n       \\u003ctd\\u003eMonorail\\u003c/td\\u003e\\n       \\u003ctd\\u003e150\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n     \\u003ctr\\u003e\\n       \\u003ctd\\u003e-\\u003c/td\\u003e\\n       \\u003ctd\\u003eUnknown\\u003c/td\\u003e\\n       \\u003ctd\\u003e200\\u003c/td\\u003e\\n     \\u003c/tr\\u003e\\n   \\u003c/table\\u003e\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\",\n            \"stops.txt\",\n            \"stop_times.txt\",\n            \"trips.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"arrivalTime2\":{\n            \"fieldName\":\"arrivalTime2\",\n            \"description\":\"`arrival_time` of the second stop.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber1\":{\n            \"fieldName\":\"csvRowNumber1\",\n            \"description\":\"The row number of the first stop time.\",\n            \"type\":\"integer\"\n         },\n         \"csvRowNumber2\":{\n            \"fieldName\":\"csvRowNumber2\",\n            \"description\":\"The row number of the second stop time.\",\n            \"type\":\"integer\"\n         },\n         \"departureTime1\":{\n            \"fieldName\":\"departureTime1\",\n            \"description\":\"`departure_time` of the first stop.\",\n            \"type\":\"string\"\n         },\n         \"distanceKm\":{\n            \"fieldName\":\"distanceKm\",\n            \"description\":\"Distance between stops (km).\",\n            \"type\":\"number\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"`route_id` of the problematic trip.\",\n            \"type\":\"string\"\n         },\n         \"speedKph\":{\n            \"fieldName\":\"speedKph\",\n            \"description\":\"Travel speed (km/h).\",\n            \"type\":\"number\"\n         },\n         \"stopId1\":{\n            \"fieldName\":\"stopId1\",\n            \"description\":\"`stop_id` of the first stop.\",\n            \"type\":\"string\"\n         },\n         \"stopId2\":{\n            \"fieldName\":\"stopId2\",\n            \"description\":\"`stop_id` of the second stop.\",\n            \"type\":\"string\"\n         },\n         \"stopName1\":{\n            \"fieldName\":\"stopName1\",\n            \"description\":\"`stop_name` of the first stop.\",\n            \"type\":\"string\"\n         },\n         \"stopName2\":{\n            \"fieldName\":\"stopName2\",\n            \"description\":\"`stop_name` of the second stop.\",\n            \"type\":\"string\"\n         },\n         \"stopSequence1\":{\n            \"fieldName\":\"stopSequence1\",\n            \"description\":\"`stop_sequence` of the first stop.\",\n            \"type\":\"integer\"\n         },\n         \"stopSequence2\":{\n            \"fieldName\":\"stopSequence2\",\n            \"description\":\"`stop_sequence` of the second stop.\",\n            \"type\":\"integer\"\n         },\n         \"tripCsvRowNumber\":{\n            \"fieldName\":\"tripCsvRowNumber\",\n            \"description\":\"The row number of the problematic trip.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"`trip_id` of the problematic trip.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"fast_travel_between_far_stops\":{\n      \"code\":\"fast_travel_between_far_stops\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A transit vehicle moves too fast between two far stops.\",\n      \"description\":\"Two stops are considered \\\"far\\\" if they are more than 10 km apart. This normally indicates a\\nmore serious problem than too fast travel between consecutive stops.\\n\\nThe speed threshold depends on route type and are the same as\\n`fast_travel_between_consecutive_stops`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\",\n            \"stops.txt\",\n            \"stop_times.txt\",\n            \"trips.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"arrivalTime2\":{\n            \"fieldName\":\"arrivalTime2\",\n            \"description\":\"`arrival_time` of the second stop.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber1\":{\n            \"fieldName\":\"csvRowNumber1\",\n            \"description\":\"The row number of the first stop time.\",\n            \"type\":\"integer\"\n         },\n         \"csvRowNumber2\":{\n            \"fieldName\":\"csvRowNumber2\",\n            \"description\":\"The row number of the second stop time.\",\n            \"type\":\"integer\"\n         },\n         \"departureTime1\":{\n            \"fieldName\":\"departureTime1\",\n            \"description\":\"`departure_time` of the first stop.\",\n            \"type\":\"string\"\n         },\n         \"distanceKm\":{\n            \"fieldName\":\"distanceKm\",\n            \"description\":\"Distance between stops (km).\",\n            \"type\":\"number\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"`route_id` of the problematic trip.\",\n            \"type\":\"string\"\n         },\n         \"speedKph\":{\n            \"fieldName\":\"speedKph\",\n            \"description\":\"Travel speed (km/h).\",\n            \"type\":\"number\"\n         },\n         \"stopId1\":{\n            \"fieldName\":\"stopId1\",\n            \"description\":\"`stop_id` of the first stop.\",\n            \"type\":\"string\"\n         },\n         \"stopId2\":{\n            \"fieldName\":\"stopId2\",\n            \"description\":\"`stop_id` of the second stop.\",\n            \"type\":\"string\"\n         },\n         \"stopName1\":{\n            \"fieldName\":\"stopName1\",\n            \"description\":\"`stop_name` of the first stop.\",\n            \"type\":\"string\"\n         },\n         \"stopName2\":{\n            \"fieldName\":\"stopName2\",\n            \"description\":\"`stop_name` of the second stop.\",\n            \"type\":\"string\"\n         },\n         \"stopSequence1\":{\n            \"fieldName\":\"stopSequence1\",\n            \"description\":\"`stop_sequence` of the first stop.\",\n            \"type\":\"integer\"\n         },\n         \"stopSequence2\":{\n            \"fieldName\":\"stopSequence2\",\n            \"description\":\"`stop_sequence` of the second stop.\",\n            \"type\":\"integer\"\n         },\n         \"tripCsvRowNumber\":{\n            \"fieldName\":\"tripCsvRowNumber\",\n            \"description\":\"The row number of the problematic trip.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"`trip_id` of the problematic trip.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"feed_expiration_date30_days\":{\n      \"code\":\"feed_expiration_date30_days\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Dataset should cover at least the next 30 days of service.\",\n      \"description\":\"At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally\\nfor as long as the operator is confident that the schedule will continue to be operated.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"feed_info.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"dataset-publishing-general-practices\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"currentDate\":{\n            \"fieldName\":\"currentDate\",\n            \"description\":\"Current date (YYYYMMDD format).\",\n            \"type\":\"string\"\n         },\n         \"feedEndDate\":{\n            \"fieldName\":\"feedEndDate\",\n            \"description\":\"Feed end date (YYYYMMDD format).\",\n            \"type\":\"string\"\n         },\n         \"suggestedExpirationDate\":{\n            \"fieldName\":\"suggestedExpirationDate\",\n            \"description\":\"Suggested expiration date (YYYYMMDD format).\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"feed_expiration_date7_days\":{\n      \"code\":\"feed_expiration_date7_days\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Dataset should be valid for at least the next 7 days.\",\n      \"description\":\"The dataset expiration date defined in `feed_info.txt` is in seven days or less. At any\\ntime, the published GTFS dataset should be valid for at least the next 7 days.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"feed_info.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"dataset-publishing-general-practices\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"currentDate\":{\n            \"fieldName\":\"currentDate\",\n            \"description\":\"Current date (YYYYMMDD format).\",\n            \"type\":\"string\"\n         },\n         \"feedEndDate\":{\n            \"fieldName\":\"feedEndDate\",\n            \"description\":\"Feed end date (YYYYMMDD format).\",\n            \"type\":\"string\"\n         },\n         \"suggestedExpirationDate\":{\n            \"fieldName\":\"suggestedExpirationDate\",\n            \"description\":\"Suggested expiration date (YYYYMMDD format).\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"feed_info_lang_and_agency_lang_mismatch\":{\n      \"code\":\"feed_info_lang_and_agency_lang_mismatch\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Mismatching feed and agency language fields.\",\n      \"description\":\"Files `agency.txt` and `feed_info.txt` should define matching `agency.agency_lang` and\\n`feed_info.feed_lang`. The default language may be multilingual for datasets with the original\\ntext in multiple languages. In such cases, the `feed_lang` field should contain the language\\ncode `mul` defined by the norm ISO 639-2.\\n\\n- If `feed_lang` is not `mul` and does not match with `agency_lang`, that\\u0027s an error.\\n- If there is more than one `agency_lang` and `feed_lang` isn\\u0027t `mul`, that\\u0027s an error.\\n- If `feed_lang` is `mul` and there isn\\u0027t more than one `agency_lang`, that\\u0027s an error.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"feed_info.txt\",\n            \"agency.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"agencyId\":{\n            \"fieldName\":\"agencyId\",\n            \"description\":\"The agency id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"agencyLang\":{\n            \"fieldName\":\"agencyLang\",\n            \"description\":\"The agency language of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"agencyName\":{\n            \"fieldName\":\"agencyName\",\n            \"description\":\"The agency name of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"feedLang\":{\n            \"fieldName\":\"feedLang\",\n            \"description\":\"The feed language of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_arrival_or_departure_time\":{\n      \"code\":\"forbidden_arrival_or_departure_time\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The arrival or departure times are provided alongside pickup or drop-off windows in `stop_times.txt`.\",\n      \"description\":\"This violates GTFS specification, as both cannot coexist for a single stop time record.\",\n      \"properties\":{\n         \"arrivalTime\":{\n            \"fieldName\":\"arrivalTime\",\n            \"description\":\"The arrival time of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"departureTime\":{\n            \"fieldName\":\"departureTime\",\n            \"description\":\"The departure time of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"endPickupDropOffWindow\":{\n            \"fieldName\":\"endPickupDropOffWindow\",\n            \"description\":\"The end pickup drop off window of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"startPickupDropOffWindow\":{\n            \"fieldName\":\"startPickupDropOffWindow\",\n            \"description\":\"The start pickup drop off window of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_continuous_pickup_drop_off\":{\n      \"code\":\"forbidden_continuous_pickup_drop_off\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Continuous pickup or drop-off are forbidden when routes.continuous_pickup or routes.continuous_drop_off are 0, 2 or 3 and stop_times.start_pickup_drop_off_window or stop_times.end_pickup_drop_off_window are defined for any trip of this route.\",\n      \"properties\":{\n         \"endPickupDropOffWindow\":{\n            \"fieldName\":\"endPickupDropOffWindow\",\n            \"description\":\"The end time of the pickup/drop-off window.\",\n            \"type\":\"string\"\n         },\n         \"routeCsvRowNumber\":{\n            \"fieldName\":\"routeCsvRowNumber\",\n            \"description\":\"The row number of the route in the `routes.txt` file.\",\n            \"type\":\"integer\"\n         },\n         \"startPickupDropOffWindow\":{\n            \"fieldName\":\"startPickupDropOffWindow\",\n            \"description\":\"The start time of the pickup/drop-off window.\",\n            \"type\":\"string\"\n         },\n         \"stopTimeCsvRowNumber\":{\n            \"fieldName\":\"stopTimeCsvRowNumber\",\n            \"description\":\"The row number of the stop time in the `stop_times.txt` file.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The ID of the trip.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_drop_off_type\":{\n      \"code\":\"forbidden_drop_off_type\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"pickup_drop_off_window fields are forbidden when the drop_off_type is regularly scheduled (0).\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"endPickupDropOffWindow\":{\n            \"fieldName\":\"endPickupDropOffWindow\",\n            \"description\":\"The end pickup drop off window of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"startPickupDropOffWindow\":{\n            \"fieldName\":\"startPickupDropOffWindow\",\n            \"description\":\"The start pickup drop off window of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_geography_id\":{\n      \"code\":\"forbidden_geography_id\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A stop_time entry has more than one geographical id defined.\",\n      \"description\":\"In stop_times.txt, you can have only one of stop_id, location_group_id or location_id defined\\nfor given entry.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"locationGroupId\":{\n            \"fieldName\":\"locationGroupId\",\n            \"description\":\"The id that already exists.\",\n            \"type\":\"string\"\n         },\n         \"locationId\":{\n            \"fieldName\":\"locationId\",\n            \"description\":\"The id that already exists.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id that already exists.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_pickup_type\":{\n      \"code\":\"forbidden_pickup_type\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"pickup_drop_off_window fields are forbidden when the pickup_type is regularly scheduled (0) or must be coordinated with the driver (3).\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"endPickupDropOffWindow\":{\n            \"fieldName\":\"endPickupDropOffWindow\",\n            \"description\":\"The end pickup drop off window of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"startPickupDropOffWindow\":{\n            \"fieldName\":\"startPickupDropOffWindow\",\n            \"description\":\"The start pickup drop off window of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_prior_day_booking_field_value\":{\n      \"code\":\"forbidden_prior_day_booking_field_value\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A forbidden field value is present for a prior-day booking rule in `booking_rules.txt`\",\n      \"references\":{\n         \"fileReferences\":[\n            \"booking_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldNames\":{\n            \"fieldName\":\"fieldNames\",\n            \"description\":\"The names of the forbidden fields comma-separated.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_prior_notice_start_day\":{\n      \"code\":\"forbidden_prior_notice_start_day\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"`prior_notice_start_day` value is forbidden when `prior_notice_duration_max` is set.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"booking_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"priorNoticeDurationMax\":{\n            \"fieldName\":\"priorNoticeDurationMax\",\n            \"description\":\"The value of the `prior_notice_duration_max` field.\",\n            \"type\":\"integer\"\n         },\n         \"priorNoticeStartDay\":{\n            \"fieldName\":\"priorNoticeStartDay\",\n            \"description\":\"The value of the `prior_notice_duration_min` field.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_prior_notice_start_time\":{\n      \"code\":\"forbidden_prior_notice_start_time\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"`prior_notice_start_time` value is forbidden when `prior_notice_start_day` value is not set in booking_rules.txt.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"booking_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"priorNoticeStartTime\":{\n            \"fieldName\":\"priorNoticeStartTime\",\n            \"description\":\"The value of the `prior_notice_start_time` field.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_real_time_booking_field_value\":{\n      \"code\":\"forbidden_real_time_booking_field_value\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A forbidden field value is present for a real-time booking rule in `booking_rules.txt`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"booking_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldNames\":{\n            \"fieldName\":\"fieldNames\",\n            \"description\":\"The names of the forbidden fields comma-separated.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_same_day_booking_field_value\":{\n      \"code\":\"forbidden_same_day_booking_field_value\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A forbidden field value is present for a same-day booking rule in `booking_rules.txt`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"booking_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldNames\":{\n            \"fieldName\":\"fieldNames\",\n            \"description\":\"The names of the forbidden fields comma-separated.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"forbidden_shape_dist_traveled\":{\n      \"code\":\"forbidden_shape_dist_traveled\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A stop_time entry has a `shape_dist_traveled` without a `stop_id` value.\",\n      \"description\":\"A GeoJSON location or location group has an associated shape_dist_traveled field in\\nstop_times.txt. shape_dist_traveled values should only be provided for stops.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"locationGroupId\":{\n            \"fieldName\":\"locationGroupId\",\n            \"description\":\"The location_grpup_id for which the shape_dist_traveled is defined\",\n            \"type\":\"string\"\n         },\n         \"locationId\":{\n            \"fieldName\":\"locationId\",\n            \"description\":\"The location_id for which the shape_dist_traveled is defined\",\n            \"type\":\"string\"\n         },\n         \"shapeDistTraveled\":{\n            \"fieldName\":\"shapeDistTraveled\",\n            \"description\":\"The shape_dist_traveled value\",\n            \"type\":\"number\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The trip_id for which the shape_dist_traveled is defined\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"foreign_key_violation\":{\n      \"code\":\"foreign_key_violation\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Wrong foreign key.\",\n      \"description\":\"A foreign key references the primary key of another file. A foreign key violation means that\\nthe foreign key referenced from a given row (the child file) cannot be found in the corresponding\\nfile (the parent file). The Foreign keys are defined in the specification under \\\"Type\\\" for each\\nfile.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"childFieldName\":{\n            \"fieldName\":\"childFieldName\",\n            \"description\":\"The name of the field that makes reference.\",\n            \"type\":\"string\"\n         },\n         \"childFilename\":{\n            \"fieldName\":\"childFilename\",\n            \"description\":\"The name of the file from which reference is made.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"The faulty record\\u0027s value.\",\n            \"type\":\"string\"\n         },\n         \"parentFieldName\":{\n            \"fieldName\":\"parentFieldName\",\n            \"description\":\"The name of the field that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"parentFilename\":{\n            \"fieldName\":\"parentFilename\",\n            \"description\":\"The name of the file that is referred to.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"geo_json_duplicated_element\":{\n      \"code\":\"geo_json_duplicated_element\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Duplicated elements in locations.geojson file.\",\n      \"properties\":{\n         \"duplicatedElement\":{\n            \"fieldName\":\"duplicatedElement\",\n            \"description\":\"The duplicated element in the GeoJSON file.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the file where the duplicated element was found.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"geo_json_unknown_element\":{\n      \"code\":\"geo_json_unknown_element\",\n      \"severityLevel\":\"INFO\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Unknown elements in locations.geojson file.\",\n      \"properties\":{\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the file where the unknown element was found.\",\n            \"type\":\"string\"\n         },\n         \"unknownElement\":{\n            \"fieldName\":\"unknownElement\",\n            \"description\":\"The unknown element in the GeoJSON file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"i_o_error\":{\n      \"code\":\"i_o_error\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Error in IO operation.\",\n      \"properties\":{\n         \"exception\":{\n            \"fieldName\":\"exception\",\n            \"description\":\"The name of the exception.\",\n            \"type\":\"string\"\n         },\n         \"message\":{\n            \"fieldName\":\"message\",\n            \"description\":\"The error message that explains the reason for the exception.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"inconsistent_agency_lang\":{\n      \"code\":\"inconsistent_agency_lang\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Inconsistent language among agencies.\",\n      \"description\":\"Agencies from GTFS `agency.txt` have been found to have different languages.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"agency.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"actual\":{\n            \"fieldName\":\"actual\",\n            \"description\":\"Faulty record\\u0027s language.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"expected\":{\n            \"fieldName\":\"expected\",\n            \"description\":\"Expected language.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"inconsistent_agency_timezone\":{\n      \"code\":\"inconsistent_agency_timezone\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Inconsistent Timezone among agencies.\",\n      \"description\":\"Agencies from GTFS `agency.txt` have been found to have different timezones.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"agency.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"actual\":{\n            \"fieldName\":\"actual\",\n            \"description\":\"Faulty record\\u0027s timezone.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"expected\":{\n            \"fieldName\":\"expected\",\n            \"description\":\"Expected timezone.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_character\":{\n      \"code\":\"invalid_character\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"This field contains invalid characters, such as the replacement character (\\\"�\\\").\",\n      \"description\":\"Check that text was properly encoded in UTF-8 as required by GTFS.\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number in the CSV file where the invalid characters were found.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the field containing the invalid characters.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"The value of the field containing the invalid characters.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the file containing the invalid characters.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_color\":{\n      \"code\":\"invalid_color\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field contains an invalid color value.\",\n      \"description\":\"A color must be encoded as a six-digit hexadecimal number. The leading \\\"#\\\" is not included.\\n\\nExample: `FFFFFF` for white, `000000` for black or `0039A6` for the A,C,E lines in NYC MTA.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_currency\":{\n      \"code\":\"invalid_currency\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field contains a wrong currency code.\",\n      \"description\":\"Currency code must follow \\u003ca href\\u003d\\\"https://en.wikipedia.org/wiki/ISO_4217#Active_codes\\\"\\u003eISO\\n4217\\u003c/a\\u003e\\n\\nExample: `CAD` for Canadian dollars, `EUR` for euros or `JPY` for Japanese yen.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_currency_amount\":{\n      \"code\":\"invalid_currency_amount\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A currency amount field has a value that does not match the format of its corresponding currency code field.\",\n      \"description\":\"Typically, this means the amount did not have the expected number of decimal places. Check the\\nformatting of your amount field so it matches the number of decimal places specified by the \\u003ca\\nhref\\u003d\\\"https://en.wikipedia.org/wiki/ISO_4217#Active_codes\\\"\\u003ecurrency_code value\\u003c/a\\u003e.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"currencyCode\":{\n            \"fieldName\":\"currencyCode\",\n            \"description\":\"Faulty record\\u0027s currency code.\",\n            \"type\":\"string\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty currency field amount value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_date\":{\n      \"code\":\"invalid_date\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field cannot be parsed as date.\",\n      \"description\":\"Dates must have the YYYYMMDD format.\\n\\nExample: `20180913` for September 13th, 2018.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_email\":{\n      \"code\":\"invalid_email\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field contains a malformed email address.\",\n      \"description\":\"Definitions for valid emails are quite vague. We perform strict validation using the Apache\\nCommons EmailValidator.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Apache Commons EmailValidator\",\n               \"url\":\"https://commons.apache.org/proper/commons-validator/apidocs/org/apache/commons/validator/routines/EmailValidator.html\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_float\":{\n      \"code\":\"invalid_float\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field cannot be parsed as a floating point number.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_geometry\":{\n      \"code\":\"invalid_geometry\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A polygon in `locations.geojson` is unparsable or invalid.\",\n      \"description\":\"Each polygon must be valid by the definition of the \\u003ca\\nhref\\u003d\\\"http://www.opengis.net/doc/is/sfa/1.2.1\\\" target\\u003d\\\"_blank\\\"\\u003e OpenGIS Simple Features\\nSpecification, section 6.1.11 \\u003c/a\\u003e.\",\n      \"properties\":{\n         \"featureId\":{\n            \"fieldName\":\"featureId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"featureIndex\":{\n            \"fieldName\":\"featureIndex\",\n            \"description\":\"The index of the feature in the feature collection.\",\n            \"type\":\"integer\"\n         },\n         \"geometryType\":{\n            \"fieldName\":\"geometryType\",\n            \"description\":\"The geometry type of the feature containing the invalid polygon.\",\n            \"type\":\"string\"\n         },\n         \"message\":{\n            \"fieldName\":\"message\",\n            \"description\":\"The validation error details.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_input_files_in_subfolder\":{\n      \"code\":\"invalid_input_files_in_subfolder\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"At least 1 GTFS file is in a subfolder.\",\n      \"description\":\"All GTFS files must reside at the root level directly. There are two common cases that trigger\\nthis error:\\n\\n1. The root folder (e.g., a folder called \\\"GTFS 2020\\\") was zipped instead of the individual\\n   files within the folder (e.g., `calendar.txt`, `agency.txt`, etc.). This can be fixed by\\n   zipping the files directly instead.\\n2. A file \\u003ca href\\u003d\\\"https://gtfs.org/documentation/schedule/reference/#dataset-files\\\"\\u003eassociated\\n   with GTFS\\u003c/a\\u003e is in a subfolder rather than the root folder of the dataset, and needs to be\\n   removed if not needed or moved to the root level.\",\n      \"properties\":{\n\n      },\n      \"deprecated\":false\n   },\n   \"invalid_integer\":{\n      \"code\":\"invalid_integer\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field cannot be parsed as an integer.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_language_code\":{\n      \"code\":\"invalid_language_code\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field contains a wrong language code.\",\n      \"description\":\"Language codes must follow \\u003ca href\\u003d\\\"http://www.rfc-editor.org/rfc/bcp/bcp47.txt\\\"\\u003eIETF BCP\\n47\\u003c/a\\u003e.\\n\\nExample: `en` for English, `en-US` for American English or `de` for German.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_phone_number\":{\n      \"code\":\"invalid_phone_number\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field contains a malformed phone number.\",\n      \"description\":\"This rule uses the\\n[PhoneNumberUtil](https://www.javadoc.io/doc/com.googlecode.libphonenumber/libphonenumber/8.4.1/com/google/i18n/phonenumbers/PhoneNumberUtil.html)\\nclass to validate a phone number based on a country code. If no country code is provided in the\\nparameters used to run the validator, this notice won\\u0027t be emitted.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_pickup_drop_off_window\":{\n      \"code\":\"invalid_pickup_drop_off_window\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The pickup/drop-off window in `stop_times.txt` is invalid.\",\n      \"description\":\"The `end_pickup_drop_off_window` must be strictly later than the\\n`start_pickup_drop_off_window`.\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"endPickupDropOffWindow\":{\n            \"fieldName\":\"endPickupDropOffWindow\",\n            \"description\":\"The end pickup drop off window of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"startPickupDropOffWindow\":{\n            \"fieldName\":\"startPickupDropOffWindow\",\n            \"description\":\"The start pickup drop off window of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_prior_notice_duration_min\":{\n      \"code\":\"invalid_prior_notice_duration_min\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"An invalid `prior_notice_duration_min` value is present in a booking rule.\",\n      \"description\":\"The `prior_notice_duration_max` field value needs to be greater or equal to the\\n`prior_notice_duration_min` field value.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"booking_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"priorNoticeDurationMax\":{\n            \"fieldName\":\"priorNoticeDurationMax\",\n            \"description\":\"The value of the `prior_notice_duration_max` field.\",\n            \"type\":\"integer\"\n         },\n         \"priorNoticeDurationMin\":{\n            \"fieldName\":\"priorNoticeDurationMin\",\n            \"description\":\"The value of the `prior_notice_duration_min` field.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_row_length\":{\n      \"code\":\"invalid_row_length\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Invalid csv row length.\",\n      \"description\":\"A row in the input file has a different number of values than specified by the CSV header.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         },\n         \"headerCount\":{\n            \"fieldName\":\"headerCount\",\n            \"description\":\"The number of column in the faulty file.\",\n            \"type\":\"integer\"\n         },\n         \"rowLength\":{\n            \"fieldName\":\"rowLength\",\n            \"description\":\"The length of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_time\":{\n      \"code\":\"invalid_time\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field cannot be parsed as time.\",\n      \"description\":\"Time must be in the `H:MM:SS`, `HH:MM:SS` or `HHH:MM:SS` format.\\n\\nExample: `14:30:00` for 2:30PM or `25:35:00` for 1:35AM on the next day.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_timezone\":{\n      \"code\":\"invalid_timezone\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field cannot be parsed as a timezone.\",\n      \"description\":\"Timezones are defined at \\u003ca href\\u003d\\\"https://www.iana.org/time-zones\\\"\\u003ewww.iana.org\\u003c/a\\u003e. Timezone\\nnames never contain the space character but may contain an underscore. Refer to \\u003ca\\nhref\\u003d\\\"http://en.wikipedia.org/wiki/List_of_tz_zones\\\"\\u003eWikipedia\\u003c/a\\u003e for a list of valid values.\\n\\nExample: `Asia/Tokyo`, `America/Los_Angeles` or `Africa/Cairo`.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"invalid_url\":{\n      \"code\":\"invalid_url\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field contains a malformed URL.\",\n      \"description\":\"Definitions for valid URLs are quite vague. We perform strict validation using the Apache\\nCommons UrlValidator.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-types\"\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Apache Commons UrlValidator\",\n               \"url\":\"https://commons.apache.org/proper/commons-validator/apidocs/org/apache/commons/validator/routines/UrlValidator.html\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"leading_or_trailing_whitespaces\":{\n      \"code\":\"leading_or_trailing_whitespaces\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The value in CSV file has leading or trailing whitespaces.\",\n      \"description\":\"This notice is emitted for values protected with double quotes since whitespaces for\\nnon-protected values are trimmed automatically by CSV parser.\\n\\nThe validator strips whitespaces from protected values. We do not see any use case when such a\\nwhitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for\\nsome values and omit them for the others. This is causing the largest problem when a primary key\\nand a foreign key differ just by a whitespace: it is clear that they are intended to be the same,\\nthat is why we always strip whitespaces.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Faulty record\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"location_with_unexpected_stop_time\":{\n      \"code\":\"location_with_unexpected_stop_time\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A location in `stops.txt` that is not a stop is referenced by some `stop_times.stop_id`.\",\n      \"description\":\"Referenced locations (using `stop_times.stop_id`) must be stops/platforms, i.e. their\\n`stops.location_type` value must be 0 or empty.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\",\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record from `stops.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty record from `stops.txt`.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The `stops.stop_name` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"stopTimeCsvRowNumber\":{\n            \"fieldName\":\"stopTimeCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `stop_times.txt`.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"location_without_parent_station\":{\n      \"code\":\"location_without_parent_station\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A location that must have `parent_station` field does not have it.\",\n      \"description\":\"The following location types must have `parent_station`: entrance, generic node,\\nboarding_area.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"locationType\":{\n            \"fieldName\":\"locationType\",\n            \"description\":\"The `stops.location_type` of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The `stops.stop_name` of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"malformed_json\":{\n      \"code\":\"malformed_json\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A JSON file is malformed.\",\n      \"properties\":{\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         },\n         \"message\":{\n            \"fieldName\":\"message\",\n            \"description\":\"The detailed message describing the error.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_bike_allowance\":{\n      \"code\":\"missing_bike_allowance\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Ferry trips should include bike allowance information.\",\n      \"description\":\"All ferry trips should have a valid value in the bikes_allowed field in trips.txt.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\",\n            \"trips.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"The faulty record\\u0027s route id.\",\n            \"type\":\"string\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The faulty record\\u0027s trip id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_calendar_and_calendar_date_files\":{\n      \"code\":\"missing_calendar_and_calendar_date_files\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Missing GTFS files `calendar.txt` and `calendar_dates.txt`.\",\n      \"description\":\"At least one of the files must be provided.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"calendar.txt\",\n            \"calendar_dates.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n\n      },\n      \"deprecated\":false\n   },\n   \"missing_feed_contact_email_and_url\":{\n      \"code\":\"missing_feed_contact_email_and_url\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Best Practices for `feed_info.txt` suggest providing at least one of `feed_contact_email` and `feed_contact_url`.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://gtfs.org/schedule/best-practices/#feed_infotxt\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the validated record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_feed_info_date\":{\n      \"code\":\"missing_feed_info_date\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"One of `feed_start_date` or `feed_end_date` is specified, but not both.\",\n      \"description\":\"Even though `feed_info.start_date` and `feed_info.end_date` are optional, if one field is\\nprovided the second one should also be provided.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"feed_info.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n            \"feed_info.txt\"\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Either `feed_end_date` or `feed_start_date`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_level_id\":{\n      \"code\":\"missing_level_id\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"`stops.level_id` is conditionally required.\",\n      \"description\":\"GTFS file `levels.txt` is required for elevator (`pathway_mode\\u003d5`). A row from `stops.txt`\\nlinked to an elevator pathway has no value for `stops.level_id`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"levels.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty stop from `stops.txt`.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The name of the faulty stop from `stops.txt`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_pickup_drop_off_booking_rule_id\":{\n      \"code\":\"missing_pickup_drop_off_booking_rule_id\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"pickup_booking_rule_id is recommended when pickup_type\\u003d2 and drop_off_booking_rule_id is recommended when drop_off_type\\u003d2.\",\n      \"description\":\"Currently, this notice is only triggered on feeds when either start_pickup_drop_off_window\\nor end_pickup_drop_off_window is defined, since this recommendation was added to the\\nspecification for feeds with GTFS-Flex.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record in `stop_times.txt`\",\n            \"type\":\"integer\"\n         },\n         \"dropOffType\":{\n            \"fieldName\":\"dropOffType\",\n            \"description\":\"The drop-off type of the faulty record.\",\n            \"type\":\"enum\"\n         },\n         \"pickupType\":{\n            \"fieldName\":\"pickupType\",\n            \"description\":\"The pickup type of the faulty record.\",\n            \"type\":\"enum\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_pickup_or_drop_off_window\":{\n      \"code\":\"missing_pickup_or_drop_off_window\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Either the start or end pickup/drop-off window is missing in `stop_times.txt`.\",\n      \"description\":\"GTFS specification requires both the start and end pickup/drop-off windows to be provided\\ntogether, if used.\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"endPickupDropOffWindow\":{\n            \"fieldName\":\"endPickupDropOffWindow\",\n            \"description\":\"The end pickup drop off window of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"startPickupDropOffWindow\":{\n            \"fieldName\":\"startPickupDropOffWindow\",\n            \"description\":\"The start pickup drop off window of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_prior_day_booking_field_value\":{\n      \"code\":\"missing_prior_day_booking_field_value\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The `prior_notice_last_day` and the `prior_notice_last_time` values are required for prior day `booking_type` in booking_rules.txt.\",\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":true,\n      \"deprecationReason\":\"Separated into `missing_prior_notice_last_day` and `missing_prior_notice_last_time` notices\",\n      \"deprecationVersion\":\"7.0.0\",\n      \"replacementNoticeCodes\":[\n         \"missing_prior_notice_last_day\",\n         \"missing_prior_notice_last_time\"\n      ]\n   },\n   \"missing_prior_notice_duration_min\":{\n      \"code\":\"missing_prior_notice_duration_min\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"`prior_notice_duration_min` value is required for same day `booking_type` in booking_rules.txt.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"booking_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_prior_notice_last_day\":{\n      \"code\":\"missing_prior_notice_last_day\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The `prior_notice_last_day` is required when booking_type\\u003d2 (prior day booking) is specified in booking_rules.txt.\",\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_prior_notice_last_time\":{\n      \"code\":\"missing_prior_notice_last_time\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The `prior_notice_last_time` is required when booking_type\\u003d2 (prior day booking) is specified in booking_rules.txt.\",\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_prior_notice_start_time\":{\n      \"code\":\"missing_prior_notice_start_time\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"`prior_notice_start_time` value is required when `prior_notice_start_day` value is set in booking_rules.txt.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"booking_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"bookingRuleId\":{\n            \"fieldName\":\"bookingRuleId\",\n            \"description\":\"The `booking_rules.booking_rule_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"priorNoticeStartDay\":{\n            \"fieldName\":\"priorNoticeStartDay\",\n            \"description\":\"The value of the `prior_notice_start_day` field.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_recommended_column\":{\n      \"code\":\"missing_recommended_column\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A recommended column is missing in the input file.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"term-definitions\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the missing column.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":true,\n      \"deprecationReason\":\"Unused validation notice\",\n      \"deprecationVersion\":\"7.0.0\"\n   },\n   \"missing_recommended_field\":{\n      \"code\":\"missing_recommended_field\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A recommended field is missing.\",\n      \"description\":\"The given field has no value in some input row, even though values are recommended.\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the missing field.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_recommended_file\":{\n      \"code\":\"missing_recommended_file\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A recommended file is missing.\",\n      \"properties\":{\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_required_column\":{\n      \"code\":\"missing_required_column\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A required column is missing in the input file.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"term-definitions\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the missing column.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_required_element\":{\n      \"code\":\"missing_required_element\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A required element is missing in `locations.geojson`.\",\n      \"properties\":{\n         \"featureId\":{\n            \"fieldName\":\"featureId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"featureIndex\":{\n            \"fieldName\":\"featureIndex\",\n            \"description\":\"Index of the feature in the feature collection.\",\n            \"type\":\"integer\"\n         },\n         \"missingElement\":{\n            \"fieldName\":\"missingElement\",\n            \"description\":\"The missing required element.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_required_field\":{\n      \"code\":\"missing_required_field\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A required field is missing.\",\n      \"description\":\"The given field has no value in some input row, even though values are required.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"term-definitions\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the missing field.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_required_file\":{\n      \"code\":\"missing_required_file\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A required file is missing.\",\n      \"description\":\"If this notice is triggered for every core file, it might be a problem with the input. To\\ncreate a zip file from the GTFS `.txt` files: select all the `.txt` files, right-click, and\\ncompress. Do not compress the folder containing the files.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"term-definitions\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_stop_name\":{\n      \"code\":\"missing_stop_name\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"`stops.stop_name` is required for `location_type` equal to `0`, `1`, or `2`.\",\n      \"description\":\"`stops.stop_name` is required for locations that are stops (`location_type\\u003d0`), stations\\n(`location_type\\u003d1`) or entrances/exits (`location_type\\u003d2`).\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"locationType\":{\n            \"fieldName\":\"locationType\",\n            \"description\":\"`stops.location_type` of the faulty record.\",\n            \"type\":\"enum\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The `stops.stop_id` of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_stop_times_record\":{\n      \"code\":\"missing_stop_times_record\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Only one stop_times record is found where two are required.\",\n      \"description\":\"Travel within the same location group or GeoJSON location requires two records in\\nstop_times.txt with the same location_group_id or location_id.\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"locationGroupId\":{\n            \"fieldName\":\"locationGroupId\",\n            \"description\":\"The `locationGroupId` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"locationId\":{\n            \"fieldName\":\"locationId\",\n            \"description\":\"The `locationId` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The `tripId` of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_timepoint_value\":{\n      \"code\":\"missing_timepoint_value\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"`stop_times.timepoint` value is missing for a record.\",\n      \"description\":\"When at least one of `stop_times.arrival_time` or `stop_times.departure_time` are provided,\\n`stop_times.timepoint` should be defined\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"stopSequence\":{\n            \"fieldName\":\"stopSequence\",\n            \"description\":\"The faulty record\\u0027s `stop_times.stop_sequence`.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The faulty record\\u0027s `stop_times.trip_id`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"missing_trip_edge\":{\n      \"code\":\"missing_trip_edge\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Missing trip edge `arrival_time` or `departure_time`.\",\n      \"description\":\"First and last stop of a trip must define both `arrival_time` and `departure_time` fields.\\nPer [stop_times.txt](http://gtfs.org/reference/static/#stop_timestxt), \\\"If there are not\\nseparate times for arrival and departure at a stop, enter the same value for arrival_time and\\ndeparture_time.\\\"\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"specifiedField\":{\n            \"fieldName\":\"specifiedField\",\n            \"description\":\"Name of the missing field.\",\n            \"type\":\"string\"\n         },\n         \"stopSequence\":{\n            \"fieldName\":\"stopSequence\",\n            \"description\":\"`stops.stop_sequence` of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The `trips.trip_id` of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"mixed_case_recommended_field\":{\n      \"code\":\"mixed_case_recommended_field\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).\",\n      \"description\":\"This field contains customer-facing text and should use Mixed Case (upper and lower case\\nletters) to ensure good readability when displayed to riders. Avoid the use of abbreviations\\nthroughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name\\n(e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader\\nsoftware and voice user interfaces.\\n\\n\\u003ctable style\\u003d\\\"table-layout:auto; width:auto;\\\"\\u003e\\n  \\u003ccaption\\u003eGood examples:\\u003c/caption\\u003e\\n  \\u003ctr\\u003e\\n    \\u003cth\\u003e\\u003ccode\\u003eField Text\\u003c/code\\u003e\\u003c/th\\u003e\\n    \\u003cth\\u003e\\u003ccode\\u003eDataset\\u003c/code\\u003e\\u003c/th\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"Schwerin, Hauptbahnhof\\\"\\u003c/td\\u003e\\n    \\u003ctd\\u003e\\u003ca href\\u003d\\\"http://vbb.de/vbbgtfs\\\"\\u003eVerkehrsverbund Berlin-Brandenburg\\u003c/a\\u003e\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n   \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"Red Hook/Atlantic Basin\\\"\\u003c/td\\u003e\\n    \\u003ctd\\u003e\\u003ca href\\u003d\\\"http://nycferry.connexionz.net/rtt/public/utility/gtfs.aspx\\\"\\u003eNYC Ferry\\u003c/a\\u003e\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"Campo Grande Norte\\\"\\u003c/td\\u003e\\n    \\u003ctd\\u003e\\u003ca href\\u003d\\\"https://gateway.carris.pt/gateway/gtfs/api/v2.8/GTFS\\\"\\u003eCarris\\u003c/a\\u003e\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n\\u003c/table\\u003e\\n\\n\\u003ctable style\\u003d\\\"table-layout:auto; width:auto;\\\"\\u003e\\n  \\u003ccaption\\u003eBad examples:\\u003c/caption\\u003e\\n  \\u003ctr\\u003e\\n    \\u003cth\\u003e\\u003ccode\\u003eField Text\\u003c/code\\u003e\\u003c/th\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"GALLERIA MALL\\\"\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"3427 GG 17\\\"\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"21 Clark Rd Est\\\"\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n\\u003c/table\\u003e\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Best Practices for All Files\",\n               \"url\":\"https://gtfs.org/schedule/reference/#file-requirements\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Name of the faulty field.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"Name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"more_than_one_entity\":{\n      \"code\":\"more_than_one_entity\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"More than one row in CSV.\",\n      \"description\":\"The file is expected to have a single entity but has more (e.g., \\\"feed_info.txt\\\").\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-definitions\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"entityCount\":{\n            \"fieldName\":\"entityCount\",\n            \"description\":\"Number of occurrences.\",\n            \"type\":\"integer\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"Name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"new_line_in_value\":{\n      \"code\":\"new_line_in_value\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"New line or carriage return in a value in CSV file.\",\n      \"description\":\"This error is usually found when the CSV file does not close double quotes properly, so the\\nnext line is considered as a continuation of the previous line.\\n\\nExample: the following file was intended to have fields \\\"f11\\\", \\\"f12\\\", \\\"f21\\\", \\\"f22\\\", but it\\nactually parses as two fields: \\\"f11\\\", \\\"f12\\\\nf21,\\\\\\\"f22\\\\\\\"\\\".\\n\\n```\\nf11,\\\"f12\\nf21,\\\"f22\\\"\\n```\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the faulty field.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"non_ascii_or_non_printable_char\":{\n      \"code\":\"non_ascii_or_non_printable_char\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Non ascii or non printable char in ID field.\",\n      \"description\":\"A value of a field with type ID contains non ASCII or non printable characters. This is not\\nrecommended.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"columnName\":{\n            \"fieldName\":\"columnName\",\n            \"description\":\"Name of the column where the error occurred.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"Row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"Name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"number_out_of_range\":{\n      \"code\":\"number_out_of_range\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Out of range value.\",\n      \"description\":\"The values in the given column of the input rows are out of range.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"file-requirements\",\n            \"field-types\",\n            \"dataset-files\"\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the faulty field.\",\n            \"type\":\"string\"\n         },\n         \"fieldType\":{\n            \"fieldName\":\"fieldType\",\n            \"description\":\"The type of the faulty field.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"object\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"overlapping_frequency\":{\n      \"code\":\"overlapping_frequency\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Trip frequencies overlap.\",\n      \"description\":\"Trip frequencies must not overlap in time. Two entries X and Y are considered to directly\\noverlap if `X.start_time \\u0026lt;\\u003d Y.start_time` and `Y.start_time \\u0026lt; X.end_time`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"frequencies.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"currCsvRowNumber\":{\n            \"fieldName\":\"currCsvRowNumber\",\n            \"description\":\"The overlapping frequency\\u0027s row number.\",\n            \"type\":\"integer\"\n         },\n         \"currStartTime\":{\n            \"fieldName\":\"currStartTime\",\n            \"description\":\"The overlapping frequency\\u0027s start time.\",\n            \"type\":\"string\"\n         },\n         \"prevCsvRowNumber\":{\n            \"fieldName\":\"prevCsvRowNumber\",\n            \"description\":\"The row number of the first frequency.\",\n            \"type\":\"integer\"\n         },\n         \"prevEndTime\":{\n            \"fieldName\":\"prevEndTime\",\n            \"description\":\"The first frequency end time.\",\n            \"type\":\"string\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The trip id associated to the first frequency.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"overlapping_zone_and_pickup_drop_off_window\":{\n      \"code\":\"overlapping_zone_and_pickup_drop_off_window\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Two entities have overlapping pickup/drop-off windows and zones.\",\n      \"description\":\"Two entities in `stop_times.txt` with the same `trip_id` have the same `pickup_type` or\\n`drop_off_type`, overlapping pickup/drop-off windows and overlapping zones in\\n`locations.geojson`.\",\n      \"properties\":{\n         \"endPickupDropOffWindow1\":{\n            \"fieldName\":\"endPickupDropOffWindow1\",\n            \"description\":\"The `end_pickup_drop_off_window` of the first entity in `stop_times.txt`.\",\n            \"type\":\"string\"\n         },\n         \"endPickupDropOffWindow2\":{\n            \"fieldName\":\"endPickupDropOffWindow2\",\n            \"description\":\"The `end_pickup_drop_off_window` of the second entity in `stop_times.txt`.\",\n            \"type\":\"string\"\n         },\n         \"locationId1\":{\n            \"fieldName\":\"locationId1\",\n            \"description\":\"The `location_id` of the first entity.\",\n            \"type\":\"string\"\n         },\n         \"locationId2\":{\n            \"fieldName\":\"locationId2\",\n            \"description\":\"The `location_id` of the second entity.\",\n            \"type\":\"string\"\n         },\n         \"startPickupDropOffWindow1\":{\n            \"fieldName\":\"startPickupDropOffWindow1\",\n            \"description\":\"The `start_pickup_drop_off_window` of the first entity in `stop_times.txt`.\",\n            \"type\":\"string\"\n         },\n         \"startPickupDropOffWindow2\":{\n            \"fieldName\":\"startPickupDropOffWindow2\",\n            \"description\":\"The `start_pickup_drop_off_window` of the second entity in `stop_times.txt`.\",\n            \"type\":\"string\"\n         },\n         \"stopSequence1\":{\n            \"fieldName\":\"stopSequence1\",\n            \"description\":\"The `stop_sequence` of the first entity in `stop_times.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"stopSequence2\":{\n            \"fieldName\":\"stopSequence2\",\n            \"description\":\"The `stop_sequence` of the second entity in `stop_times.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The `trip_id` of the entities.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"pathway_dangling_generic_node\":{\n      \"code\":\"pathway_dangling_generic_node\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A generic node has only one incident location in a pathway graph.\",\n      \"description\":\"Such generic node is useless because there is no benefit in visiting it.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"pathways.txt\",\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"Row number of the dangling generic node.\",\n            \"type\":\"integer\"\n         },\n         \"parentStation\":{\n            \"fieldName\":\"parentStation\",\n            \"description\":\"The parent station of the dangling generic node.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the dangling generic node.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The stop name of the dangling generic node.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"pathway_loop\":{\n      \"code\":\"pathway_loop\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A pathway starts and ends at the same location.\",\n      \"description\":\"A pathway should not have same values for `from_stop_id` and `to_stop_id`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"pathways.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"Row number of the faulty row from `pathways.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"pathwayId\":{\n            \"fieldName\":\"pathwayId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The `pathway.stop_id` that is repeated in `pathways.from_stop_id` and `pathways.to_stop_id`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"pathway_to_platform_with_boarding_areas\":{\n      \"code\":\"pathway_to_platform_with_boarding_areas\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A pathway has an endpoint that is a platform which has boarding areas.\",\n      \"description\":\"A platform that has boarding areas is treated as a parent object, not a point. In such\\ncases, the platform must not have pathways assigned - instead, pathways must be assigned to its\\nboarding areas.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"pathways.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty row.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The platform id field name.\",\n            \"type\":\"string\"\n         },\n         \"pathwayId\":{\n            \"fieldName\":\"pathwayId\",\n            \"description\":\"The id of the faulty pathway.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the endpoint platform.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"pathway_to_wrong_location_type\":{\n      \"code\":\"pathway_to_wrong_location_type\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A pathway has an endpoint that is a station.\",\n      \"description\":\"Pathways endpoints must be platforms (stops), entrances/exits, generic nodes or boarding\\nareas.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"pathways.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty row.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The station id field name.\",\n            \"type\":\"string\"\n         },\n         \"pathwayId\":{\n            \"fieldName\":\"pathwayId\",\n            \"description\":\"The id of the faulty pathway.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the endpoint station.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"pathway_unreachable_location\":{\n      \"code\":\"pathway_unreachable_location\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A location is not reachable at least in one direction: from the entrances or to the exits.\",\n      \"description\":\"Notices are reported for platforms, boarding areas and generic nodes but not for entrances\\nor stations.\\n\\nNotices are not reported for platforms that have boarding areas since such platforms may not\\nhave incident pathways. Instead, notices are reported for the boarding areas.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"pathways.txt\",\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"Row number of the unreachable location.\",\n            \"type\":\"integer\"\n         },\n         \"hasEntrance\":{\n            \"fieldName\":\"hasEntrance\",\n            \"description\":\"Whether the location is reachable from entrances.\",\n            \"type\":\"boolean\"\n         },\n         \"hasExit\":{\n            \"fieldName\":\"hasExit\",\n            \"description\":\"Whether some exit can be reached from the location.\",\n            \"type\":\"boolean\"\n         },\n         \"locationType\":{\n            \"fieldName\":\"locationType\",\n            \"description\":\"The type of the unreachable location.\",\n            \"type\":\"integer\"\n         },\n         \"parentStation\":{\n            \"fieldName\":\"parentStation\",\n            \"description\":\"The parent of the unreachable location.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the unreachable location.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The stop name of the unreachable location.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"platform_without_parent_station\":{\n      \"code\":\"platform_without_parent_station\",\n      \"severityLevel\":\"INFO\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A platform has no `parent_station` field set.\",\n      \"description\":\"This is different from `location_without_parent_station` since it is less severe.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"Row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The stop name of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"point_near_origin\":{\n      \"code\":\"point_near_origin\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A point is too close to origin `(0, 0)`.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty row.\",\n            \"type\":\"integer\"\n         },\n         \"entityId\":{\n            \"fieldName\":\"entityId\",\n            \"description\":\"The id of the faulty entity.\",\n            \"type\":\"string\"\n         },\n         \"featureIndex\":{\n            \"fieldName\":\"featureIndex\",\n            \"description\":\"The index of the feature in the feature collection.\",\n            \"type\":\"integer\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the affected GTFS file.\",\n            \"type\":\"string\"\n         },\n         \"latFieldName\":{\n            \"fieldName\":\"latFieldName\",\n            \"description\":\"The name of the field that uses latitude value.\",\n            \"type\":\"string\"\n         },\n         \"latFieldValue\":{\n            \"fieldName\":\"latFieldValue\",\n            \"description\":\"The latitude of the faulty row.\",\n            \"type\":\"number\"\n         },\n         \"lonFieldName\":{\n            \"fieldName\":\"lonFieldName\",\n            \"description\":\"The name of the field that uses longitude value.\",\n            \"type\":\"string\"\n         },\n         \"lonFieldValue\":{\n            \"fieldName\":\"lonFieldValue\",\n            \"description\":\"The longitude of the faulty row\",\n            \"type\":\"number\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"point_near_pole\":{\n      \"code\":\"point_near_pole\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A point is too close to the North or South Pole.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row of the faulty row.\",\n            \"type\":\"integer\"\n         },\n         \"entityId\":{\n            \"fieldName\":\"entityId\",\n            \"description\":\"The id of the faulty entity.\",\n            \"type\":\"string\"\n         },\n         \"featureIndex\":{\n            \"fieldName\":\"featureIndex\",\n            \"description\":\"The index of the feature in the feature collection.\",\n            \"type\":\"integer\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the affected GTFS file.\",\n            \"type\":\"string\"\n         },\n         \"latFieldName\":{\n            \"fieldName\":\"latFieldName\",\n            \"description\":\"The name of the field that uses latitude value.\",\n            \"type\":\"string\"\n         },\n         \"latFieldValue\":{\n            \"fieldName\":\"latFieldValue\",\n            \"description\":\"The latitude of the faulty row.\",\n            \"type\":\"number\"\n         },\n         \"lonFieldName\":{\n            \"fieldName\":\"lonFieldName\",\n            \"description\":\"The name of the field that uses longitude value.\",\n            \"type\":\"string\"\n         },\n         \"lonFieldValue\":{\n            \"fieldName\":\"lonFieldValue\",\n            \"description\":\"The longitude of the faulty row\",\n            \"type\":\"number\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"prior_notice_last_day_after_start_day\":{\n      \"code\":\"prior_notice_last_day_after_start_day\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Prior notice last day should not be greater than the prior notice start day in booking_rules.txt.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"booking_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"priorNoticeLastDay\":{\n            \"fieldName\":\"priorNoticeLastDay\",\n            \"description\":\"The value of the `prior_notice_last_day` of the faulty field.\",\n            \"type\":\"integer\"\n         },\n         \"priorNoticeStartDay\":{\n            \"fieldName\":\"priorNoticeStartDay\",\n            \"description\":\"The value of the `prior_notice_start_day` of the faulty field.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"route_both_short_and_long_name_missing\":{\n      \"code\":\"route_both_short_and_long_name_missing\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Both `route_short_name` and `route_long_name` are missing for a route.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"route_color_contrast\":{\n      \"code\":\"route_color_contrast\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Insufficient route color contrast.\",\n      \"description\":\"A route\\u0027s color and `route_text_color` should be contrasting.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"routeColor\":{\n            \"fieldName\":\"routeColor\",\n            \"description\":\"The faulty record\\u0027s HTML route color.\",\n            \"type\":\"string\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"routeTextColor\":{\n            \"fieldName\":\"routeTextColor\",\n            \"description\":\"The faulty record\\u0027s HTML route text color.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"route_long_name_contains_short_name\":{\n      \"code\":\"route_long_name_contains_short_name\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Long name should not contain short name for a single route.\",\n      \"description\":\"In routes.txt, `route_long_name` should not contain the value for `route_short_name`,\\nbecause when both are provided, they are often combined by transit applications. Note that only\\none of the two fields is required. If there is no short name used for a route, use\\n`route_long_name` only.\\n\\nGood examples:\\n\\n\\u003ctable\\u003e\\n  \\u003ctr\\u003e\\n    \\u003cth\\u003eroute_short_name/route_long_name\\u003c/th\\u003e\\n    \\u003cth\\u003eDataset\\u003c/th\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"N\\\"/\\\"Judah\\\"\\u003c/td\\u003e\\n    \\u003ctd\\u003e\\u003ca href\\u003d\\\"https://www.sfmta.com/getting-around/transit/routes-stops/n-judah\\\"\\u003eMuni San Fransisco\\u003c/a\\u003e\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"6\\\"/\\\"ML King Jr Blvd\\\"\\u003c/td\\u003e\\n    \\u003ctd\\u003e\\u003ca href\\u003d\\\"https://trimet.org/schedules/r006.htm\\\"\\u003eTrimet Portland Streetcar\\u003c/a\\u003e\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"55\\\"/\\\"Boulevard Saint Laurent\\\"\\u003c/td\\u003e\\n    \\u003ctd\\u003e\\u003ca href\\u003d\\\"https://www.stm.info/en/info/networks/bus/local/line-55-north\\\"\\u003eSTM Montreal\\u003c/a\\u003e\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"1\\\"/\\\"Rangiora/Cashmere\\\"\\u003c/td\\u003e\\n    \\u003ctd\\u003e\\u003ca href\\u003d\\\"https://www.metroinfo.co.nz/timetables/1-rangiora-cashmere/\\\"\\u003eMetro Christchurch\\u003c/a\\u003e\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n\\u003c/table\\u003e\\n\\nBad examples:\\n\\n\\u003ctable\\u003e\\n  \\u003ctr\\u003e\\n    \\u003cth\\u003eroute_short_name/route_long_name\\u003c/th\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"604\\\"/\\\"604\\\"\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"14\\\"/\\\"Route 14\\\"\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n  \\u003ctr\\u003e\\n    \\u003ctd\\u003e\\\"2\\\"/\\\"Route 2: Bellows Falls In-Town\\\"\\u003c/td\\u003e\\n  \\u003c/tr\\u003e\\n\\u003c/table\\u003e\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n            \"routes.txt\"\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"routeLongName\":{\n            \"fieldName\":\"routeLongName\",\n            \"description\":\"The faulty record\\u0027s `route_long_name`.\",\n            \"type\":\"string\"\n         },\n         \"routeShortName\":{\n            \"fieldName\":\"routeShortName\",\n            \"description\":\"The faulty record\\u0027s `route_short_name`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"route_networks_specified_in_more_than_one_file\":{\n      \"code\":\"route_networks_specified_in_more_than_one_file\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Indicates that route network identifiers are specified across multiple files.\",\n      \"description\":\"This notice highlights a data integrity issue where route network specifications are\\nredundantly defined in more than one file. According to specifications, a route network\\nidentifier should be uniquely defined in a single file. Any additional definitions of route\\nnetwork specifications in other files are considered conditionally forbidden.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\",\n            \"route_networks.txt\",\n            \"networks.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"Name of the field in fileNameA\",\n            \"type\":\"string\"\n         },\n         \"fileNameA\":{\n            \"fieldName\":\"fileNameA\",\n            \"description\":\"The name of the first file.\",\n            \"type\":\"string\"\n         },\n         \"fileNameB\":{\n            \"fieldName\":\"fileNameB\",\n            \"description\":\"The name of the second file which presence duplicates route networks specification.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"route_short_name_too_long\":{\n      \"code\":\"route_short_name_too_long\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Short name of a route is too long (more than 12 characters).\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n            \"routes.txt\"\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"routeShortName\":{\n            \"fieldName\":\"routeShortName\",\n            \"description\":\"The faulty record\\u0027s `route_short_name`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"runtime_exception_in_loader_error\":{\n      \"code\":\"runtime_exception_in_loader_error\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"RuntimeException while loading GTFS dataset in memory.\",\n      \"description\":\"A\\n[RuntimeException](https://docs.oracle.com/javase/8/docs/api/java/lang/RuntimeException.html)\\noccurred while loading a table. This normally indicates a bug in validator.\",\n      \"properties\":{\n         \"exception\":{\n            \"fieldName\":\"exception\",\n            \"description\":\"The name of the exception.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the file that caused the exception.\",\n            \"type\":\"string\"\n         },\n         \"message\":{\n            \"fieldName\":\"message\",\n            \"description\":\"The error message that explains the reason for the exception.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"runtime_exception_in_validator_error\":{\n      \"code\":\"runtime_exception_in_validator_error\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"RuntimeException while validating GTFS archive.\",\n      \"description\":\"A\\n[RuntimeException](https://docs.oracle.com/javase/8/docs/api/java/lang/RuntimeException.html)\\noccurred during validation. This normally indicates a bug in validator code, e.g., in a custom\\nvalidator class.\",\n      \"properties\":{\n         \"exception\":{\n            \"fieldName\":\"exception\",\n            \"description\":\"The name of the exception.\",\n            \"type\":\"string\"\n         },\n         \"message\":{\n            \"fieldName\":\"message\",\n            \"description\":\"The error message that explains the reason for the exception.\",\n            \"type\":\"string\"\n         },\n         \"validator\":{\n            \"fieldName\":\"validator\",\n            \"description\":\"The name of the validator that caused the exception.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"same_name_and_description_for_route\":{\n      \"code\":\"same_name_and_description_for_route\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Same name and description for route.\",\n      \"description\":\"The GTFS spec defines `routes.txt`\\n[route_desc](https://gtfs.org/reference/static/#routestxt) as:\\n\\nDescription of a route that provides useful, quality information. Do not simply duplicate\\nthe name of the route.\\n\\nSee the GTFS and GTFS Best Practices links below for more examples of how to populate the\\n`route_short_name`, `route_long_name`, and `route_desc` fields.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"routeDesc\":{\n            \"fieldName\":\"routeDesc\",\n            \"description\":\"The `routes.routes_desc` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"specifiedField\":{\n            \"fieldName\":\"specifiedField\",\n            \"description\":\"Either `route_short_name` or `route_long_name`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"same_name_and_description_for_stop\":{\n      \"code\":\"same_name_and_description_for_stop\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Same name and description for stop.\",\n      \"description\":\"The GTFS spec defines `stops.txt`\\n[stop_description](https://gtfs.org/reference/static/#stopstxt) as:\\n\\nDescription of the location that provides useful, quality information. Do not simply\\nduplicate the name of the location.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"stopDesc\":{\n            \"fieldName\":\"stopDesc\",\n            \"description\":\"The faulty record\\u0027s `stop_desc`.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"same_route_and_agency_url\":{\n      \"code\":\"same_route_and_agency_url\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Same `routes.route_url` and `agency.agency_url`.\",\n      \"description\":\"A route should not have the same `routes.route_url` as a record from `agency.txt`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"routes.txt\",\n            \"agency.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"agencyCsvRowNumber\":{\n            \"fieldName\":\"agencyCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `agency.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"agencyName\":{\n            \"fieldName\":\"agencyName\",\n            \"description\":\"The faulty record\\u0027s referenced agency name.\",\n            \"type\":\"string\"\n         },\n         \"routeCsvRowNumber\":{\n            \"fieldName\":\"routeCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `routes.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"The faulty record\\u0027s id.\",\n            \"type\":\"string\"\n         },\n         \"routeUrl\":{\n            \"fieldName\":\"routeUrl\",\n            \"description\":\"The duplicate URL value\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"same_stop_and_agency_url\":{\n      \"code\":\"same_stop_and_agency_url\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Same `stops.stop_url` and `agency.agency_url`.\",\n      \"description\":\"A stop should not have the same `stops.stop_url` as a record from `agency.txt`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stops.txt\",\n            \"agency.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"agencyCsvRowNumber\":{\n            \"fieldName\":\"agencyCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `agency.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"agencyName\":{\n            \"fieldName\":\"agencyName\",\n            \"description\":\"The faulty record\\u0027s `agency.agency_name`.\",\n            \"type\":\"string\"\n         },\n         \"stopCsvRowNumber\":{\n            \"fieldName\":\"stopCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `stops.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The faulty record\\u0027s id.\",\n            \"type\":\"string\"\n         },\n         \"stopUrl\":{\n            \"fieldName\":\"stopUrl\",\n            \"description\":\"The duplicate URL value.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"same_stop_and_route_url\":{\n      \"code\":\"same_stop_and_route_url\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Same `stops.stop_url` and `routes.route_url`.\",\n      \"description\":\"A stop should not have the same `stop.stop_url` as a record from `routes.txt`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stops.txt\",\n            \"routes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"routeCsvRowNumber\":{\n            \"fieldName\":\"routeCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `routes.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"The faulty record\\u0027s id from `routes.txt.\",\n            \"type\":\"string\"\n         },\n         \"stopCsvRowNumber\":{\n            \"fieldName\":\"stopCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `stops.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The faulty record\\u0027s id.\",\n            \"type\":\"string\"\n         },\n         \"stopUrl\":{\n            \"fieldName\":\"stopUrl\",\n            \"description\":\"The duplicate URL value.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"single_shape_point\":{\n      \"code\":\"single_shape_point\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The shape within `shapes.txt` contains a single shape point.\",\n      \"description\":\"A shape should contain more than one shape point to visualize the route\",\n      \"references\":{\n         \"fileReferences\":[\n            \"shapes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The faulty record\\u0027s id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"start_and_end_range_equal\":{\n      \"code\":\"start_and_end_range_equal\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Two date or time fields are equal.\",\n      \"description\":\"The fields `frequencies.start_date` and `frequencies.end_date` have been found equal in\\n`frequencies.txt`. The GTFS spec is currently unclear how this case should be handled (e.g., is\\nit a trip that circulates once?). It is recommended to use a trip not defined via frequencies.txt\\nfor this case.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"endFieldName\":{\n            \"fieldName\":\"endFieldName\",\n            \"description\":\"The end value\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"entityId\":{\n            \"fieldName\":\"entityId\",\n            \"description\":\"The id of the faulty entity.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         },\n         \"startFieldName\":{\n            \"fieldName\":\"startFieldName\",\n            \"description\":\"The start value\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"value\":{\n            \"fieldName\":\"value\",\n            \"description\":\"The faulty value.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"start_and_end_range_out_of_order\":{\n      \"code\":\"start_and_end_range_out_of_order\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Two date or time fields are out of order.\",\n      \"description\":\"Date or time fields have been found out of order in `calendar.txt`, `feed_info.txt` and\\n`stop_times.txt`.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"endFieldName\":{\n            \"fieldName\":\"endFieldName\",\n            \"description\":\"The end value\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"endValue\":{\n            \"fieldName\":\"endValue\",\n            \"description\":\"The end value.\",\n            \"type\":\"string\"\n         },\n         \"entityId\":{\n            \"fieldName\":\"entityId\",\n            \"description\":\"The faulty service id.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         },\n         \"startFieldName\":{\n            \"fieldName\":\"startFieldName\",\n            \"description\":\"The start value\\u0027s field name.\",\n            \"type\":\"string\"\n         },\n         \"startValue\":{\n            \"fieldName\":\"startValue\",\n            \"description\":\"The start value.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"station_with_parent_station\":{\n      \"code\":\"station_with_parent_station\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A station has `parent_station` field set.\",\n      \"description\":\"Field `parent_station` must be empty when `location_type` is 1.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"parentStation\":{\n            \"fieldName\":\"parentStation\",\n            \"description\":\"Parent station\\u0027s id.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The stops.stop_name of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"stop_has_too_many_matches_for_shape\":{\n      \"code\":\"stop_has_too_many_matches_for_shape\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Stop entry that has many potential matches to the trip\\u0027s path of travel, as defined by the shape entry in `shapes.txt`.\",\n      \"description\":\"This potentially indicates a problem with the location of the stop or the path of the shape.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"trips.txt\",\n            \"stop_times.txt\",\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"match\":{\n            \"fieldName\":\"match\",\n            \"description\":\"Latitude and longitude pair of the location.\",\n            \"type\":\"array\",\n            \"contains\":{\n               \"type\":\"number\"\n            },\n            \"minItems\":2,\n            \"maxItems\":2\n         },\n         \"matchCount\":{\n            \"fieldName\":\"matchCount\",\n            \"description\":\"The number of matches for the stop that is referred to.\",\n            \"type\":\"integer\"\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The id of the shape that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the stop that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The name of the stop that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopTimeCsvRowNumber\":{\n            \"fieldName\":\"stopTimeCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `stop_times.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"tripCsvRowNumber\":{\n            \"fieldName\":\"tripCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `trips.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The id of the trip that is referred to.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"stop_time_timepoint_without_times\":{\n      \"code\":\"stop_time_timepoint_without_times\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"`arrival_time` or `departure_time` not specified for timepoint.\",\n      \"description\":\"Any records with `stop_times.timepoint` set to 1 must define a value for\\n`stop_times.arrival_time` and `stop_times.departure_time` fields.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\",\n            \"stop_times.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"specifiedField\":{\n            \"fieldName\":\"specifiedField\",\n            \"description\":\"Either `departure_time` or `arrival_time`.\",\n            \"type\":\"string\"\n         },\n         \"stopSequence\":{\n            \"fieldName\":\"stopSequence\",\n            \"description\":\"The faulty record\\u0027s `stops.stop_sequence`.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The faulty record\\u0027s id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"stop_time_with_arrival_before_previous_departure_time\":{\n      \"code\":\"stop_time_with_arrival_before_previous_departure_time\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Backwards time travel between stops in `stop_times.txt`\",\n      \"description\":\"For a given `trip_id`, the `arrival_time` of (n+1)-th stoptime in sequence must not precede\\nthe `departure_time` of n-th stoptime in sequence in `stop_times.txt`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"arrivalTime\":{\n            \"fieldName\":\"arrivalTime\",\n            \"description\":\"Arrival time at the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"departureTime\":{\n            \"fieldName\":\"departureTime\",\n            \"description\":\"Departure time at the previous stop time.\",\n            \"type\":\"string\"\n         },\n         \"prevCsvRowNumber\":{\n            \"fieldName\":\"prevCsvRowNumber\",\n            \"description\":\"The row of the previous stop time.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The trip_id associated to the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"stop_time_with_only_arrival_or_departure_time\":{\n      \"code\":\"stop_time_with_only_arrival_or_departure_time\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Missing `stop_times.arrival_time` or `stop_times.departure_time`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"specifiedField\":{\n            \"fieldName\":\"specifiedField\",\n            \"description\":\"Either `arrival_time` or `departure_time`\",\n            \"type\":\"string\"\n         },\n         \"stopSequence\":{\n            \"fieldName\":\"stopSequence\",\n            \"description\":\"The sequence of the faulty stop.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The trip_id associated to the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"stop_too_far_from_shape\":{\n      \"code\":\"stop_too_far_from_shape\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Stop too far from trip shape.\",\n      \"description\":\"Per GTFS Best Practices, route alignments (in `shapes.txt`) should be within 100 meters of\\nstop locations which a trip serves. This potentially indicates a problem with the location of\\nthe stop or the path of the shape.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\",\n            \"stops.txt\",\n            \"trips.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n            \"shapes.txt\"\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"geoDistanceToShape\":{\n            \"fieldName\":\"geoDistanceToShape\",\n            \"description\":\"Distance from stop to shape.\",\n            \"type\":\"number\"\n         },\n         \"match\":{\n            \"fieldName\":\"match\",\n            \"description\":\"Latitude and longitude pair of the location.\",\n            \"type\":\"array\",\n            \"contains\":{\n               \"type\":\"number\"\n            },\n            \"minItems\":2,\n            \"maxItems\":2\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The id of the shape that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the stop that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The name of the stop that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopTimeCsvRowNumber\":{\n            \"fieldName\":\"stopTimeCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `stop_times.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"tripCsvRowNumber\":{\n            \"fieldName\":\"tripCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `trips.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The id of the trip that is referred to.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"stop_too_far_from_shape_using_user_distance\":{\n      \"code\":\"stop_too_far_from_shape_using_user_distance\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Stop time too far from shape.\",\n      \"description\":\"A stop time entry that is a large distance away from the location of the shape in\\n`shapes.txt` as defined by `shape_dist_traveled` values.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"trips.txt\",\n            \"stop_times.txt\",\n            \"stops.txt\",\n            \"stop_times.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"geoDistanceToShape\":{\n            \"fieldName\":\"geoDistanceToShape\",\n            \"description\":\"Distance from stop to shape.\",\n            \"type\":\"number\"\n         },\n         \"match\":{\n            \"fieldName\":\"match\",\n            \"description\":\"Latitude and longitude pair of the location.\",\n            \"type\":\"array\",\n            \"contains\":{\n               \"type\":\"number\"\n            },\n            \"minItems\":2,\n            \"maxItems\":2\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The id of the shape that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the stop that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The name of the stop that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopTimeCsvRowNumber\":{\n            \"fieldName\":\"stopTimeCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `stop_times.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"tripCsvRowNumber\":{\n            \"fieldName\":\"tripCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `trips.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The id of the trip that is referred to.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"stop_without_location\":{\n      \"code\":\"stop_without_location\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"`stop_lat` and/or `stop_lon` is missing for stop with `location_type` equal to`0`, `1`, or `2`\",\n      \"description\":\"`stop_lat` and/or `stop_lon` are required for locations that are stops (`location_type\\u003d0`),\\nstations (`location_type\\u003d1`) or entrances/exits (`location_type\\u003d2`).\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"locationType\":{\n            \"fieldName\":\"locationType\",\n            \"description\":\"The faulty record\\u0027s `stops.location_type`.\",\n            \"type\":\"enum\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The faulty record\\u0027s id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"stop_without_stop_time\":{\n      \"code\":\"stop_without_stop_time\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A stop in `stops.txt` is not referenced by any `stop_times.stop_id`.\",\n      \"description\":\"Such stops are not used by any trip and normally do not provide user value. This notice may\\nindicate a typo in `stop_times.txt`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\",\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty stop.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The name of the faulty stop.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"stop_without_zone_id\":{\n      \"code\":\"stop_without_zone_id\",\n      \"severityLevel\":\"INFO\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Stop without value for `stops.zone_id` contained in a route with a zone-dependent fare rule.\",\n      \"description\":\"If `fare_rules.txt` is provided, and `fare_rules.txt` uses at least one column among\\n`origin_id`, `destination_id`, and `contains_id`, then all stops and platforms (location_type \\u003d\\n0) must have `stops.zone_id` assigned if they are defined in a trip defined in a route defined\\nin a fare rule which also defines at least one of `origin_id`, `destination_id`, or\\n`contains_id`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stops.txt\",\n            \"stop_times.txt\",\n            \"trips.txt\",\n            \"routes.txt\",\n            \"fare_rules.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The faulty record\\u0027s id.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The faulty record\\u0027s `stops.stop_name`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"stops_match_shape_out_of_order\":{\n      \"code\":\"stops_match_shape_out_of_order\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Two stop entries are different than their arrival-departure order defined by `shapes.txt`.\",\n      \"description\":\"This could indicate a problem with the location of the stops, the path of the shape, or the\\nsequence of the stops for their trip.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"trips.txt\",\n            \"stop_times.txt\",\n            \"stops.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"match1\":{\n            \"fieldName\":\"match1\",\n            \"description\":\"Latitude and longitude pair of the first matching location.\",\n            \"type\":\"array\",\n            \"contains\":{\n               \"type\":\"number\"\n            },\n            \"minItems\":2,\n            \"maxItems\":2\n         },\n         \"match2\":{\n            \"fieldName\":\"match2\",\n            \"description\":\"Latitude and longitude pair of the second matching location.\",\n            \"type\":\"array\",\n            \"contains\":{\n               \"type\":\"number\"\n            },\n            \"minItems\":2,\n            \"maxItems\":2\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The id of the shape that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopId1\":{\n            \"fieldName\":\"stopId1\",\n            \"description\":\"The id of the first stop that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopId2\":{\n            \"fieldName\":\"stopId2\",\n            \"description\":\"The id of the second stop that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopName1\":{\n            \"fieldName\":\"stopName1\",\n            \"description\":\"The name of the first stop that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopName2\":{\n            \"fieldName\":\"stopName2\",\n            \"description\":\"The name of the second stop that is referred to.\",\n            \"type\":\"string\"\n         },\n         \"stopTimeCsvRowNumber1\":{\n            \"fieldName\":\"stopTimeCsvRowNumber1\",\n            \"description\":\"The row number of the first faulty record from `stop_times.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"stopTimeCsvRowNumber2\":{\n            \"fieldName\":\"stopTimeCsvRowNumber2\",\n            \"description\":\"The row number of the second faulty record from `stop_times.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"tripCsvRowNumber\":{\n            \"fieldName\":\"tripCsvRowNumber\",\n            \"description\":\"The row number of the faulty record from `trips.txt`.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The id of the trip that is referred to.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"thread_execution_error\":{\n      \"code\":\"thread_execution_error\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"ExecutionException during multithreaded validation\",\n      \"description\":\"An\\n[ExecutionException](https://docs.oracle.com/javase/8/docs/api/java/util/concurrent/ExecutionException.html)\\noccurred during multithreaded validation.\",\n      \"properties\":{\n         \"exception\":{\n            \"fieldName\":\"exception\",\n            \"description\":\"The name of the exception.\",\n            \"type\":\"string\"\n         },\n         \"message\":{\n            \"fieldName\":\"message\",\n            \"description\":\"The error message that explains the reason for the exception.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"timeframe_only_start_or_end_time_specified\":{\n      \"code\":\"timeframe_only_start_or_end_time_specified\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A row from `timeframes.txt` was found with only one of `start_time` and `end_time` specified.\",\n      \"description\":\"Either both must be specified or neither must be specified.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"timeframes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number for the faulty record.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"timeframe_overlap\":{\n      \"code\":\"timeframe_overlap\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Two entries in `timeframes.txt` with the same `timeframe_group_id` and `service_id` have overlapping time intervals.\",\n      \"description\":\"Timeframes with the same group and service dates must not overlap in time. Two entries X and\\nY are considered to directly overlap if `X.start_time \\u0026lt;\\u003d Y.start_time` and `Y.start_time\\n\\u0026lt; X.end_time`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"frequencies.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"currCsvRowNumber\":{\n            \"fieldName\":\"currCsvRowNumber\",\n            \"description\":\"The row number of the second timeframe entry.\",\n            \"type\":\"integer\"\n         },\n         \"currStartTime\":{\n            \"fieldName\":\"currStartTime\",\n            \"description\":\"The start time of the second timeframe entry.\",\n            \"type\":\"string\"\n         },\n         \"prevCsvRowNumber\":{\n            \"fieldName\":\"prevCsvRowNumber\",\n            \"description\":\"The row number of the first timeframe entry.\",\n            \"type\":\"integer\"\n         },\n         \"prevEndTime\":{\n            \"fieldName\":\"prevEndTime\",\n            \"description\":\"The first timeframe end time.\",\n            \"type\":\"string\"\n         },\n         \"serviceId\":{\n            \"fieldName\":\"serviceId\",\n            \"description\":\"The service id associated with the two entries.\",\n            \"type\":\"string\"\n         },\n         \"timeframeGroupId\":{\n            \"fieldName\":\"timeframeGroupId\",\n            \"description\":\"The timeframe group id associated with the two entries.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"timeframe_start_or_end_time_greater_than_twenty_four_hours\":{\n      \"code\":\"timeframe_start_or_end_time_greater_than_twenty_four_hours\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A time in `timeframes.txt` is greater than `24:00:00`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"timeframes.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number for the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The time field name for the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"time\":{\n            \"fieldName\":\"time\",\n            \"description\":\"The invalid time value.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"too_many_rows\":{\n      \"code\":\"too_many_rows\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A CSV file has too many rows.\",\n      \"description\":\"Feeds with too large files cannot be processed in a reasonable time by GTFS consumers.\",\n      \"properties\":{\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"Name of the CSV file that has too many rows.\",\n            \"type\":\"string\"\n         },\n         \"rowNumber\":{\n            \"fieldName\":\"rowNumber\",\n            \"description\":\"Number of the row when reading was stopped.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"transfer_distance_above_2_km\":{\n      \"code\":\"transfer_distance_above_2_km\",\n      \"severityLevel\":\"INFO\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The transfer distance from stop to stop in `transfers.txt` is larger than 2 km.\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `transfers.txt` for the faulty entry.\",\n            \"type\":\"integer\"\n         },\n         \"distanceKm\":{\n            \"fieldName\":\"distanceKm\",\n            \"description\":\"The distance between the two stops in km.\",\n            \"type\":\"number\"\n         },\n         \"fromStopId\":{\n            \"fieldName\":\"fromStopId\",\n            \"description\":\"The ID of the stop in `from_stop_id`.\",\n            \"type\":\"string\"\n         },\n         \"toStopId\":{\n            \"fieldName\":\"toStopId\",\n            \"description\":\"The ID of the stop in `to_stop_id`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"transfer_distance_too_large\":{\n      \"code\":\"transfer_distance_too_large\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The transfer distance from stop to stop in `transfers.txt` is larger than 10 km.\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `transfers.txt` for the faulty entry.\",\n            \"type\":\"integer\"\n         },\n         \"distanceKm\":{\n            \"fieldName\":\"distanceKm\",\n            \"description\":\"The distance between the two stops in km.\",\n            \"type\":\"number\"\n         },\n         \"fromStopId\":{\n            \"fieldName\":\"fromStopId\",\n            \"description\":\"The ID of the stop in `from_stop_id`.\",\n            \"type\":\"string\"\n         },\n         \"toStopId\":{\n            \"fieldName\":\"toStopId\",\n            \"description\":\"The ID of the stop in `to_stop_id`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"transfer_with_invalid_stop_location_type\":{\n      \"code\":\"transfer_with_invalid_stop_location_type\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A stop id field from GTFS file `transfers.txt` references a stop that has a `location_type` other than 0 or 1 (aka Stop/Platform or Station).\",\n      \"references\":{\n         \"fileReferences\":[\n            \"transfers.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `transfers.txt` for the faulty entry.\",\n            \"type\":\"integer\"\n         },\n         \"locationTypeName\":{\n            \"fieldName\":\"locationTypeName\",\n            \"description\":\"The name of the invalid location type.\",\n            \"type\":\"string\"\n         },\n         \"locationTypeValue\":{\n            \"fieldName\":\"locationTypeValue\",\n            \"description\":\"The numeric value of the invalid location type.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The referenced stop id.\",\n            \"type\":\"string\"\n         },\n         \"stopIdFieldName\":{\n            \"fieldName\":\"stopIdFieldName\",\n            \"description\":\"The name of the stop id field (e.g. `from_stop_id`) referencing the stop.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"transfer_with_invalid_trip_and_route\":{\n      \"code\":\"transfer_with_invalid_trip_and_route\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A trip id field from GTFS file `transfers.txt` references a route that does not match its `trips.txt` `route_id`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"transfers.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `transfers.txt` for the faulty entry.\",\n            \"type\":\"integer\"\n         },\n         \"expectedRouteId\":{\n            \"fieldName\":\"expectedRouteId\",\n            \"description\":\"The expected route id from `trips.txt`.\",\n            \"type\":\"string\"\n         },\n         \"routeFieldName\":{\n            \"fieldName\":\"routeFieldName\",\n            \"description\":\"The name of the route id field (e.g. `from_route_id`) referencing the route.\",\n            \"type\":\"string\"\n         },\n         \"routeId\":{\n            \"fieldName\":\"routeId\",\n            \"description\":\"The referenced route id.\",\n            \"type\":\"string\"\n         },\n         \"tripFieldName\":{\n            \"fieldName\":\"tripFieldName\",\n            \"description\":\"The name of the trip id field (e.g. `from_trip_id`) referencing a trip.\",\n            \"type\":\"string\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The referenced trip id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"transfer_with_invalid_trip_and_stop\":{\n      \"code\":\"transfer_with_invalid_trip_and_stop\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A trip id field from GTFS file `transfers.txt` references a stop that is not included in the referenced trip\\u0027s stop-times.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"transfers.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `transfers.txt` for the faulty entry.\",\n            \"type\":\"integer\"\n         },\n         \"stopFieldName\":{\n            \"fieldName\":\"stopFieldName\",\n            \"description\":\"The name of the stop id field (e.g. `stop_route_id`) referencing the stop.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The referenced stop id.\",\n            \"type\":\"string\"\n         },\n         \"tripFieldName\":{\n            \"fieldName\":\"tripFieldName\",\n            \"description\":\"The name of the trip id field (e.g. `from_trip_id`) referencing a trip.\",\n            \"type\":\"string\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The referenced trip id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"transfer_with_suspicious_mid_trip_in_seat\":{\n      \"code\":\"transfer_with_suspicious_mid_trip_in_seat\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A trip id field from GTFS file `transfers.txt` with an in-seat transfer type references a stop that is not in the expected position in the trip\\u0027s stop-times.\",\n      \"description\":\"For in-seat transfers, we expect the stop to be the last stop-time in the trip sequence for\\n`from_stop_id` and the first stop-time for `to_stop_id`. If you are intentionally using this\\nfeature to model mid-trip transfers, you can ignore this warning, but be aware that this\\nfunctionality is still considered to be partially experimental in some interpretations of the\\nspec.\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number from `transfers.txt` for the faulty entry.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The referenced stop id.\",\n            \"type\":\"string\"\n         },\n         \"stopIdFieldName\":{\n            \"fieldName\":\"stopIdFieldName\",\n            \"description\":\"The name of the stop id field (e.g. `from_stop_id`) referencing the stop.\",\n            \"type\":\"string\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The referenced trip id.\",\n            \"type\":\"string\"\n         },\n         \"tripIdFieldName\":{\n            \"fieldName\":\"tripIdFieldName\",\n            \"description\":\"The name of the trip id field (e.g. `from_trip_id`) referencing a trip.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"translation_foreign_key_violation\":{\n      \"code\":\"translation_foreign_key_violation\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"An entity with the given `record_id` and `record_sub_id` cannot be found in the referenced table.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"translations.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"recordId\":{\n            \"fieldName\":\"recordId\",\n            \"description\":\"`record_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"recordSubId\":{\n            \"fieldName\":\"recordSubId\",\n            \"description\":\"`record_sub_id` of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"tableName\":{\n            \"fieldName\":\"tableName\",\n            \"description\":\"`table_name` of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"translation_unexpected_value\":{\n      \"code\":\"translation_unexpected_value\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A field in a translations row has value but must be empty.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"translations.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the field that was expected to be empty.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Actual value of the field that was expected to be empty.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"translation_unknown_table_name\":{\n      \"code\":\"translation_unknown_table_name\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A translation references an unknown or missing GTFS table.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"translations.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"tableName\":{\n            \"fieldName\":\"tableName\",\n            \"description\":\"`table_name` of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"trip_coverage_not_active_for_next7_days\":{\n      \"code\":\"trip_coverage_not_active_for_next7_days\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Trips data should be valid for at least the next seven days.\",\n      \"description\":\"This notice is triggered if the date range where a significant number of trips are running\\nends in less than 7 days.\",\n      \"properties\":{\n         \"currentDate\":{\n            \"fieldName\":\"currentDate\",\n            \"description\":\"Current date (YYYYMMDD format).\",\n            \"type\":\"string\"\n         },\n         \"serviceWindowEndDate\":{\n            \"fieldName\":\"serviceWindowEndDate\",\n            \"description\":\"The end date of the majority service window.\",\n            \"type\":\"string\"\n         },\n         \"serviceWindowStartDate\":{\n            \"fieldName\":\"serviceWindowStartDate\",\n            \"description\":\"The start date of the majority service window.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"trip_distance_exceeds_shape_distance\":{\n      \"code\":\"trip_distance_exceeds_shape_distance\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.\",\n      \"properties\":{\n         \"geoDistanceToShape\":{\n            \"fieldName\":\"geoDistanceToShape\",\n            \"description\":\"The distance in meters between the shape and the stop.\",\n            \"type\":\"number\"\n         },\n         \"maxShapeDistanceTraveled\":{\n            \"fieldName\":\"maxShapeDistanceTraveled\",\n            \"description\":\"The faulty record\\u0027s shape max distance traveled.\",\n            \"type\":\"number\"\n         },\n         \"maxTripDistanceTraveled\":{\n            \"fieldName\":\"maxTripDistanceTraveled\",\n            \"description\":\"The faulty record\\u0027s trip max distance traveled.\",\n            \"type\":\"number\"\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The faulty record\\u0027s shape id.\",\n            \"type\":\"string\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The faulty record\\u0027s trip id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"trip_distance_exceeds_shape_distance_below_threshold\":{\n      \"code\":\"trip_distance_exceeds_shape_distance_below_threshold\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.\",\n      \"properties\":{\n         \"geoDistanceToShape\":{\n            \"fieldName\":\"geoDistanceToShape\",\n            \"description\":\"The distance in meters between the shape and the stop.\",\n            \"type\":\"number\"\n         },\n         \"maxShapeDistanceTraveled\":{\n            \"fieldName\":\"maxShapeDistanceTraveled\",\n            \"description\":\"The faulty record\\u0027s shape max distance traveled.\",\n            \"type\":\"number\"\n         },\n         \"maxTripDistanceTraveled\":{\n            \"fieldName\":\"maxTripDistanceTraveled\",\n            \"description\":\"The faulty record\\u0027s trip max distance traveled.\",\n            \"type\":\"number\"\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The faulty record\\u0027s shape id.\",\n            \"type\":\"string\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The faulty record\\u0027s trip id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"u_r_i_syntax_error\":{\n      \"code\":\"u_r_i_syntax_error\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A string could not be parsed as a URI reference.\",\n      \"properties\":{\n         \"exception\":{\n            \"fieldName\":\"exception\",\n            \"description\":\"The name of the exception.\",\n            \"type\":\"string\"\n         },\n         \"message\":{\n            \"fieldName\":\"message\",\n            \"description\":\"The error message that explains the reason for the exception.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"unexpected_enum_value\":{\n      \"code\":\"unexpected_enum_value\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"An enum has an unexpected value.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n            \"field-definitions\"\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the field where the error occurred.\",\n            \"type\":\"string\"\n         },\n         \"fieldValue\":{\n            \"fieldName\":\"fieldValue\",\n            \"description\":\"Faulty value.\",\n            \"type\":\"integer\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"unknown_column\":{\n      \"code\":\"unknown_column\",\n      \"severityLevel\":\"INFO\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A column name is unknown.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"fieldName\":{\n            \"fieldName\":\"fieldName\",\n            \"description\":\"The name of the unknown column.\",\n            \"type\":\"string\"\n         },\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the faulty file.\",\n            \"type\":\"string\"\n         },\n         \"index\":{\n            \"fieldName\":\"index\",\n            \"description\":\"The index of the faulty column.\",\n            \"type\":\"integer\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"unknown_file\":{\n      \"code\":\"unknown_file\",\n      \"severityLevel\":\"INFO\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A file is unknown.\",\n      \"references\":{\n         \"fileReferences\":[\n\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"filename\":{\n            \"fieldName\":\"filename\",\n            \"description\":\"The name of the unknown file.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"unsupported_feature_type\":{\n      \"code\":\"unsupported_feature_type\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"An unsupported feature type is used in the `locations.geojson` file.\",\n      \"description\":\"Use `Feature` instead to comply with the spec.\",\n      \"properties\":{\n         \"featureId\":{\n            \"fieldName\":\"featureId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"featureIndex\":{\n            \"fieldName\":\"featureIndex\",\n            \"description\":\"The value of the unsupported GeoJSON type.\",\n            \"type\":\"integer\"\n         },\n         \"featureType\":{\n            \"fieldName\":\"featureType\",\n            \"description\":\"The feature type of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"unsupported_geo_json_type\":{\n      \"code\":\"unsupported_geo_json_type\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"An unsupported GeoJSON type is used in the `locations.geojson` file.\",\n      \"description\":\"Use `FeatureCollection` instead to comply with the spec.\",\n      \"properties\":{\n         \"geoJsonType\":{\n            \"fieldName\":\"geoJsonType\",\n            \"description\":\"The value of the unsupported GeoJSON type.\",\n            \"type\":\"string\"\n         },\n         \"message\":{\n            \"fieldName\":\"message\",\n            \"description\":\"The detailed message describing the error.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"unsupported_geometry_type\":{\n      \"code\":\"unsupported_geometry_type\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"A GeoJSON feature has an unsupported geometry type in `locations.geojson`.\",\n      \"description\":\"Each feature must have a geometry type that is supported by the GTFS spec. The supported\\ngeometry types `Polygon` and `MultiPolygon`.\",\n      \"properties\":{\n         \"featureId\":{\n            \"fieldName\":\"featureId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"featureIndex\":{\n            \"fieldName\":\"featureIndex\",\n            \"description\":\"The index of the feature in the feature collection.\",\n            \"type\":\"integer\"\n         },\n         \"geometryType\":{\n            \"fieldName\":\"geometryType\",\n            \"description\":\"The geometry type of the faulty record.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"unusable_trip\":{\n      \"code\":\"unusable_trip\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Trips must have more than one stop to be usable.\",\n      \"description\":\"A trip must visit more than one stop in stop_times.txt to be usable by passengers for\\nboarding and alighting.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stop_times.txt\",\n            \"trips.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The faulty record\\u0027s id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"unused_parent_station\":{\n      \"code\":\"unused_parent_station\",\n      \"severityLevel\":\"INFO\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Unused parent station.\",\n      \"description\":\"A stop has `location_type` STATION (1) but does not appear in any stop\\u0027s `parent_station`.\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty stop.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The name of the faulty stop.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":true,\n      \"deprecationReason\":\"Renamed to `unused_station`\",\n      \"deprecationVersion\":\"7.0.0\",\n      \"replacementNoticeCodes\":[\n         \"unused_station\"\n      ]\n   },\n   \"unused_shape\":{\n      \"code\":\"unused_shape\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Shape is not used in GTFS file `trips.txt`.\",\n      \"description\":\"All records defined by GTFS `shapes.txt` should be used in `trips.txt`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"shapes.txt\",\n            \"trips.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"shapeId\":{\n            \"fieldName\":\"shapeId\",\n            \"description\":\"The faulty record\\u0027s id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"unused_station\":{\n      \"code\":\"unused_station\",\n      \"severityLevel\":\"INFO\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Unused station.\",\n      \"description\":\"A stop has `location_type` STATION (1) but does not appear in any stop\\u0027s `parent_station`.\",\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty stop.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The name of the faulty stop.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"unused_trip\":{\n      \"code\":\"unused_trip\",\n      \"severityLevel\":\"WARNING\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Trip is not be used in `stop_times.txt`\",\n      \"description\":\"Trips should be referred to at least once in `stop_times.txt`.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"trips.txt\",\n            \"stop_times.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n            {\n               \"label\":\"Original Python validator implementation\",\n               \"url\":\"https://github.com/google/transitfeed\"\n            }\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"tripId\":{\n            \"fieldName\":\"tripId\",\n            \"description\":\"The faulty record\\u0027s id.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   },\n   \"wrong_parent_location_type\":{\n      \"code\":\"wrong_parent_location_type\",\n      \"severityLevel\":\"ERROR\",\n      \"type\":\"object\",\n      \"shortSummary\":\"Incorrect type of the parent location.\",\n      \"description\":\"Value of field `location_type` of parent found in field `parent_station` is invalid.\\n\\nAccording to spec\\n\\n- _Stop/platform_ can only have _Station_ as parent\\n- _Station_ can NOT have a parent\\n- _Entrance/exit_ or _generic node_ can only have _Station_ as parent\\n- _Boarding Area_ can only have _Platform_ as parent\\n\\nAny other combination raise this error.\",\n      \"references\":{\n         \"fileReferences\":[\n            \"stops.txt\",\n            \"stop_times.txt\"\n         ],\n         \"bestPracticesFileReferences\":[\n\n         ],\n         \"sectionReferences\":[\n\n         ],\n         \"urlReferences\":[\n\n         ]\n      },\n      \"properties\":{\n         \"csvRowNumber\":{\n            \"fieldName\":\"csvRowNumber\",\n            \"description\":\"The row number of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"expectedLocationType\":{\n            \"fieldName\":\"expectedLocationType\",\n            \"description\":\"The expected location type of the faulty record.\",\n            \"type\":\"integer\"\n         },\n         \"locationType\":{\n            \"fieldName\":\"locationType\",\n            \"description\":\"The faulty record\\u0027s `stops.location_type`.\",\n            \"type\":\"integer\"\n         },\n         \"parentCsvRowNumber\":{\n            \"fieldName\":\"parentCsvRowNumber\",\n            \"description\":\"The row number of the faulty record\\u0027s parent.\",\n            \"type\":\"integer\"\n         },\n         \"parentLocationType\":{\n            \"fieldName\":\"parentLocationType\",\n            \"description\":\"The location type of the faulty record\\u0027s parent.\",\n            \"type\":\"integer\"\n         },\n         \"parentStation\":{\n            \"fieldName\":\"parentStation\",\n            \"description\":\"The id of the faulty record\\u0027s parent station.\",\n            \"type\":\"string\"\n         },\n         \"parentStopName\":{\n            \"fieldName\":\"parentStopName\",\n            \"description\":\"The stop name of the faulty record\\u0027s parent.\",\n            \"type\":\"string\"\n         },\n         \"stopId\":{\n            \"fieldName\":\"stopId\",\n            \"description\":\"The id of the faulty record.\",\n            \"type\":\"string\"\n         },\n         \"stopName\":{\n            \"fieldName\":\"stopName\",\n            \"description\":\"The faulty record\\u0027s `stops.stop_name`.\",\n            \"type\":\"string\"\n         }\n      },\n      \"deprecated\":false\n   }\n}"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181121164437_create_region.exs",
    "content": "defmodule DB.Repo.Migrations.CreateRegion do\n  use Ecto.Migration\n\n  def change do\n    create table(:region) do\n      add(:nom, :string)\n      add(:insee, :string)\n      add(:geometry, :map)\n      add(:is_completed, :boolean)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181121165604_create_aom.exs",
    "content": "defmodule DB.Repo.Migrations.CreateAom do\n  use Ecto.Migration\n\n  def change do\n    create table(:aom) do\n      add(:composition_res_id, :integer)\n      add(:insee_commune_principale, :string)\n      add(:region_name, :string)\n      add(:departement, :string)\n      add(:siren, :integer)\n      add(:nom, :string)\n      add(:forme_juridique, :string)\n      add(:nombre_communes, :integer)\n      add(:population_muni_2014, :integer)\n      add(:population_totale_2014, :integer)\n      add(:surface, :string)\n      add(:commentaire, :string)\n      add(:geometry, :map)\n\n      add(:region_id, references(:region))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181121170709_create_dataset.exs",
    "content": "defmodule DB.Repo.Migrations.CreateDataset do\n  use Ecto.Migration\n\n  def change do\n    create table(:dataset) do\n      add(:coordinates, {:array, :float})\n      add(:datagouv_id, :string)\n      add(:spatial, :string)\n      add(:created_at, :string)\n      add(:description, :text)\n      add(:download_url, :string)\n      add(:format, :string)\n      add(:frequency, :string)\n      add(:last_update, :string)\n      add(:last_import, :string)\n      add(:licence, :string)\n      add(:logo, :string)\n      add(:full_logo, :string)\n      add(:slug, :string)\n      add(:tags, {:array, :string})\n      add(:task_id, :string)\n      add(:title, :string)\n      add(:type, :string)\n      add(:metadata, :map)\n      add(:validations, :map)\n      add(:validation_date, :string)\n\n      add(:region_id, references(:region))\n      add(:aom_id, references(:aom))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181121171826_create_partner.exs",
    "content": "defmodule DB.Repo.Migrations.CreatePartner do\n  use Ecto.Migration\n\n  def change do\n    create table(:partner) do\n      add(:page, :string)\n      add(:api_uri, :string)\n      add(:name, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181204093045_add_included_in_dataset_to_datasets.exs",
    "content": "defmodule DB.Repo.Migrations.AddIncludedInDatasetToDatasets do\n  use Ecto.Migration\n  import Ecto.Query\n  alias DB.{AOM, Dataset, Region, Repo}\n\n  def up do\n    alter table(:aom) do\n      add(:parent_dataset_id, references(\"dataset\"))\n    end\n\n    # flush()\n    #\n    # bretagne = Repo.one(from region in Region, where: region.nom == \"Bretagne\")\n    # breizgo = Repo.one(from dataset in Dataset, where: like(dataset.title, \"%MobiBreizh%\"))\n    #\n    # if !is_nil(bretagne) and !is_nil(breizgo) do\n    #  (from aom in AOM, where:\n    #    aom.insee_commune_principale not in [\"22050\", \"22070\", \"29024\", \"35360\"]\n    #    and aom.region_id == ^bretagne.id\n    #  )\n    #  |> Repo.update_all(set: [parent_dataset_id: breizgo.id])\n    # end\n  end\n\n  def down do\n    alter table(:aom) do\n      remove(:included_in)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181205100445_add_type_id_partner.exs",
    "content": "defmodule DB.Repo.Migrations.AddTypeIdPartner do\n  use Ecto.Migration\n\n  def up do\n    alter table(:partner) do\n      add(:type, :string)\n      add(:datagouv_id, :string)\n      remove(:api_uri)\n    end\n  end\n\n  def down do\n    alter table(:partner) do\n      remove(:type)\n      remove(:datagouv_id)\n      add(:api_uri, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181205134354_aom_postgis_geometry.exs",
    "content": "defmodule DB.Repo.Migrations.AomPostgisGeometry do\n  use Ecto.Migration\n\n  def up do\n    execute(\"CREATE EXTENSION IF NOT EXISTS postgis\")\n\n    alter table(:aom) do\n      add(:geom, :geometry)\n    end\n\n    create(index(\"aom\", [:geom], using: :gist))\n\n    # execute \"UPDATE aom SET geom=st_geomFromGeoJson(geometry::text)\"\n  end\n\n  def down do\n    alter table(:aom) do\n      remove(:geom)\n    end\n\n    execute(\"DROP EXTENSION IF EXISTS postgis\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181205163400_add_resources.exs",
    "content": "defmodule DB.Repo.Migrations.AddResources do\n  use Ecto.Migration\n\n  def change do\n    create table(:resource) do\n      add(:validations, :map)\n      add(:validation_date, :string)\n      add(:is_active, :boolean)\n      add(:url, :string)\n\n      add(:dataset_id, references(:dataset))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181205164605_migrate_validations.exs",
    "content": "defmodule DB.Repo.Migrations.MigrateValidations do\n  use Ecto.Migration\n  alias DB.{Repo, Resource}\n  alias Ecto.Adapters.SQL\n\n  defp convert([id, validations, validation_date, download_url]) do\n    %{\n      dataset_id: id,\n      validations: validations,\n      validation_date: validation_date,\n      url: download_url,\n      is_active: true\n    }\n  end\n\n  def change do\n    # sql = \"SELECT id, validations, validation_date, download_url FROM dataset\"\n    # {:ok, %{rows: rows}} = SQL.query(Repo, sql)\n    # resources = Enum.map(rows, &convert/1)\n    #\n    # Repo.insert_all(Resource, resources)\n\n    alter table(:dataset) do\n      remove(:validations)\n      remove(:validation_date)\n      remove(:download_url)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181210164424_insee_aom_table.exs",
    "content": "defmodule DB.Repo.Migrations.InseeAomTable do\n  use Ecto.Migration\n\n  def up do\n    create table(\"commune\") do\n      add(:insee, :string)\n      add(:nom, :string)\n      add(:wikipedia, :string)\n      add(:surf_ha, :float)\n      add(:geom, :geometry)\n    end\n\n    flush()\n\n    # HTTPoison.start\n    # \"https://www.data.gouv.fr/fr/datasets/r/4aa66fae-3dc4-4445-8c8c-e30b55ffb6a3\"\n    # |> HTTPoison.get([], hackney: [follow_redirect: true])\n    # |> case do\n    #   {:ok, %HTTPoison.Response{status_code: 200, body: body}} -> body\n    #   error -> raise(error)\n    # end\n    # |> String.split(\"\\n\")\n    # |> Enum.filter(fn line -> line != \"\" end)\n    # |> Enum.map(fn line -> String.replace(line, \"'\", \"''\") end)\n    # |> Enum.map(fn line ->\n    #   [insee, nom, wikipedia, surf_ha, geom] = String.split(line, \"\\t\")\n    #   execute(\"\"\"\n    #        INSERT INTO commune(insee, nom, wikipedia, surf_ha, geom)\n    #        VALUES('#{insee}', '#{nom}', '#{wikipedia}', #{surf_ha}, '#{geom}')\n    #   \"\"\")\n    # end)\n\n    create(index(\"commune\", [:insee]))\n  end\n\n  def down do\n    drop(table(\"commune\"))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181211094634_migrate_format.exs",
    "content": "defmodule DB.Repo.Migrations.MigrateFormat do\n  use Ecto.Migration\n  alias DB.Repo\n  alias Ecto.Adapters.SQL\n\n  def change do\n    alter table(:resource) do\n      add(:format, :string)\n      add(:last_import, :string)\n    end\n\n    flush()\n\n    {:ok, _} =\n      SQL.query(Repo, \"\"\"\n      UPDATE resource\n      SET format = dataset.format, last_import = dataset.last_import\n      FROM dataset\n      WHERE dataset_id = dataset.id\n      \"\"\")\n\n    alter table(:dataset) do\n      remove(:format)\n      remove(:last_import)\n      remove(:coordinates)\n      remove(:task_id)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181211164714_add_title_resource.exs",
    "content": "defmodule DB.Repo.Migrations.AddTitleResource do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:title, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181212091910_commune_to_aom.exs",
    "content": "defmodule DB.Repo.Migrations.CommuneToAom do\n  use Ecto.Migration\n\n  def up do\n    create(unique_index(:aom, [:composition_res_id]))\n\n    alter table(:commune) do\n      add(:aom_res_id, references(:aom, column: :composition_res_id))\n    end\n\n    # flush()\n    # Mix.Task.run(\"DB.import_aom\", [no_start: true])\n    # Mix.Task.run(\"DB.import_insee_aom\", [no_start: true])\n  end\n\n  def down do\n    drop(constraint(:commune, \"commune_aom_res_id_fkey\"))\n    drop(index(:aom, [:composition_res_id]))\n\n    alter table(:commune) do\n      remove(:aom_res_id)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181218123622_only_use_postgis.exs",
    "content": "defmodule DB.Repo.Migrations.OnlyUsePostgis do\n  use Ecto.Migration\n\n  def up do\n    alter table(:region) do\n      add(:geom, :geometry)\n    end\n\n    execute(\"UPDATE region SET geom=st_geomFromGeoJson(geometry::text)\")\n\n    alter table(:region) do\n      remove(:geometry)\n    end\n\n    alter table(:aom) do\n      remove(:geometry)\n    end\n  end\n\n  def down do\n    alter table(:region) do\n      remove(:geom)\n      add(:geometry, :map)\n    end\n\n    alter table(:aom) do\n      add(:geometry, :map)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20181220111337_move_metadata.exs",
    "content": "defmodule DB.Repo.Migrations.MoveMetadata do\n  use Ecto.Migration\n\n  def up do\n    alter table(:dataset) do\n      remove(:metadata)\n    end\n\n    alter table(:resource) do\n      add(:metadata, :map)\n    end\n  end\n\n  def down do\n    alter table(:resource) do\n      remove(:metadata)\n    end\n\n    alter table(:dataset) do\n      add(:metadata, :map)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190108103116_remove_region_dataset_aom.exs",
    "content": "defmodule DB.Repo.Migrations.RemoveRegionDatasetAom do\n  use Ecto.Migration\n\n  def up do\n    execute(\"\"\"\n      INSERT INTO region (nom) VALUES ('National')\n    \"\"\")\n\n    execute(\"\"\"\n        UPDATE dataset\n        SET region_id = (SELECT id FROM region WHERE nom = 'National')\n        WHERE aom_id IS NOT NULL\n    \"\"\")\n  end\n\n  def down do\n    execute(\"\"\"\n      UPDATE dataset\n      SET region_id = (SELECT region_id FROM aom WHERE id=dataset.aom_id)\n      WHERE aom_id IS NOT NULL\n    \"\"\")\n\n    execute(\"\"\"\n      UPDATE dataset\n      SET region_id = NULL\n      WHERE region_id = (SELECT id FROM region WHERE nom='National')\n    \"\"\")\n\n    execute(\"\"\"\n      DELETE FROM region WHERE id = (SELECT id FROM region WHERE nom='National')\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190130145745_rename_transit_types.exs",
    "content": "defmodule DB.Repo.Migrations.RenameTransitTypes do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE dataset set type='public-transit' where type='DB-statique'\")\n    execute(\"UPDATE dataset set type='micro-mobility' where type='bike sharing'\")\n    execute(\"UPDATE dataset set type='carsharing-areas' where type='aires-covoiturage'\")\n    execute(\"UPDATE dataset set type='charging-stations' where type='borne-recharge'\")\n  end\n\n  def down do\n    execute(\"UPDATE dataset set type='DB-statique' where type='public-transit'\")\n    execute(\"UPDATE dataset set type='bike sharing' where type='micro-mobility'\")\n    execute(\"UPDATE dataset set type='aires-covoiturage' where type='carsharing-areas'\")\n    execute(\"UPDATE dataset set type='borne-recharge' where type='charging-stations'\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190204155646_fix_region.exs",
    "content": "defmodule DB.Repo.Migrations.FixRegion do\n  use Ecto.Migration\n\n  def up do\n    execute(\"\"\"\n        UPDATE dataset\n        SET region_id = NULL\n        WHERE aom_id IS NOT NULL\n    \"\"\")\n  end\n\n  def down do\n    execute(\"\"\"\n      UPDATE dataset\n      SET region_id = (SELECT region_id FROM aom WHERE id=dataset.aom_id)\n      WHERE aom_id IS NOT NULL\n    \"\"\")\n\n    execute(\"\"\"\n      UPDATE dataset\n      SET region_id = NULL\n      WHERE region_id = (SELECT id FROM region WHERE nom='National')\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190207164219_remove_empty_url.exs",
    "content": "defmodule DB.Repo.Migrations.RemoveEmptyUrl do\n  use Ecto.Migration\n\n  def change do\n    execute(\"DELETE FROM resource WHERE url IS NULL\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190227165217_more_resource_metadata.exs",
    "content": "defmodule DB.Repo.Migrations.MoreResourceMetadata do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:last_update, :string)\n      add(:latest_url, :string)\n    end\n\n    alter table(:dataset) do\n      add(:organization, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190402122703_add_has_realtime.exs",
    "content": "defmodule DB.Repo.Migrations.AddHasRealtime do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:has_realtime, :boolean, default: false)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190408091202_validations_table.exs",
    "content": "defmodule DB.Repo.Migrations.ValidationsTable do\n  use Ecto.Migration\n\n  def change do\n    create table(:validations) do\n      add(:details, :map)\n      add(:date, :string)\n      add(:resource_id, references(:resource))\n    end\n\n    alter table(:resource) do\n      remove(:validations)\n      remove(:validation_date)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190424095327_add_dataset_activation.exs",
    "content": "defmodule DB.Repo.Migrations.AddDatasetActivation do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:is_active, :boolean, default: true)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190425142259_add_resource_is_available.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceIsAvailable do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:is_available, :boolean, default: true)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190506153738_add_dataset_document.exs",
    "content": "defmodule DB.Repo.Migrations.AddDatasetDocument do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:search_vector, :tsvector)\n      add(:population, :integer)\n    end\n\n    create_if_not_exists(index(:dataset, [:search_vector], using: \"GIN\"))\n\n    execute(\n      \"\"\"\n          CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n          DECLARE\n            nom text;\n            region_nom region.nom%TYPE;\n            population dataset.population%TYPE;\n          BEGIN\n\n          NEW.search_vector = setweight(to_tsvector(coalesce(NEW.spatial, '')), 'B') ||\n                setweight(to_tsvector(array_to_string(NEW.tags, ',')), 'C') ||\n                setweight(to_tsvector(coalesce(NEW.description, '')), 'D');\n\n          IF NEW.aom_id IS NOT NULL THEN\n            SELECT aom.nom, region.nom, aom.population_totale_2014 INTO nom, region_nom, population\n            FROM aom\n            JOIN region ON region.id = aom.region_id\n            WHERE aom.id = NEW.aom_id;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector(coalesce(nom, '')), 'A') ||\n              setweight(to_tsvector(coalesce(region_nom, '')), 'B');\n            NEW.population = population;\n\n          ELSIF NEW.region_id IS NOT NULL THEN\n            SELECT region.nom, SUM(aom.population_totale_2014) INTO nom, population\n            FROM region\n            JOIN aom ON aom.region_id = region.id\n            WHERE region.id = NEW.region_id\n            GROUP BY region.nom;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector(coalesce(nom, '')), 'A');\n            NEW.population = population;\n          END IF;\n\n          IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n            SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector(coalesce(nom, '')), 'A');\n          END IF;\n\n          RETURN NEW;\n          END\n          $$ LANGUAGE plpgsql;\n      \"\"\",\n      \"DROP FUNCTION IF EXISTS dataset_search_update;\"\n    )\n\n    execute(\n      \"\"\"\n          CREATE TRIGGER dataset_update_trigger\n          BEFORE INSERT OR UPDATE ON dataset\n          FOR EACH ROW\n          EXECUTE PROCEDURE dataset_search_update();\n      \"\"\",\n      \"DROP TRIGGER IF EXISTS dataset_update_trigger ON dataset;\"\n    )\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\", \"\")\n\n    # Trigger for aom and region update\n    execute(\n      \"\"\"\n        CREATE OR REPLACE FUNCTION aom_update() RETURNS trigger as $$\n        DECLARE\n          dataset_id dataset.id%TYPE;\n        BEGIN\n        SELECT dataset.id INTO dataset_id FROM dataset WHERE aom_id = NEW.id;\n\n        IF dataset_id IS NOT NULL THEN\n          UPDATE dataset SET id = id WHERE id = dataset_id;\n        END IF;\n\n        RETURN NEW;\n        END\n        $$ LANGUAGE plpgsql;\n      \"\"\",\n      \"DROP FUNCTION IF EXISTS aom_update;\"\n    )\n\n    execute(\n      \"\"\"\n      CREATE TRIGGER aom_update_trigger\n      AFTER INSERT OR UPDATE ON aom\n      FOR EACH ROW\n      EXECUTE PROCEDURE aom_update();\n      \"\"\",\n      \"DROP TRIGGER IF EXISTS aom_update_trigger ON aom;\"\n    )\n\n    execute(\n      \"\"\"\n        CREATE OR REPLACE FUNCTION region_update() RETURNS trigger as $$\n        DECLARE\n          dataset_id dataset.id%TYPE;\n        BEGIN\n        SELECT dataset.id INTO dataset_id FROM dataset WHERE region_id = NEW.id;\n\n        IF dataset_id IS NOT NULL THEN\n          UPDATE dataset SET id = id WHERE id = dataset_id;\n        END IF;\n\n        RETURN NEW;\n        END\n        $$ LANGUAGE plpgsql;\n      \"\"\",\n      \"DROP FUNCTION IF EXISTS region_update;\"\n    )\n\n    execute(\n      \"\"\"\n      CREATE TRIGGER region_update_trigger\n      AFTER INSERT OR UPDATE ON region\n      FOR EACH ROW\n      EXECUTE PROCEDURE region_update();\n      \"\"\",\n      \"DROP TRIGGER IF EXISTS region_update_trigger ON region;\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190509163526_delete_cascade_validations.exs",
    "content": "defmodule DB.Repo.Migrations.DeleteCascadeValidations do\n  use Ecto.Migration\n\n  def change do\n    drop(constraint(:validations, \"validations_resource_id_fkey\"))\n\n    alter table(:validations) do\n      modify(:resource_id, references(:resource, on_delete: :delete_all))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190516142725_search_commune.exs",
    "content": "defmodule DB.Repo.Migrations.SearchCommune do\n  use Ecto.Migration\n\n  def change do\n    execute(\n      \"\"\"\n          CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n          DECLARE\n            nom text;\n            region_nom region.nom%TYPE;\n            population dataset.population%TYPE;\n          BEGIN\n\n          NEW.search_vector = setweight(to_tsvector(coalesce(NEW.spatial, '')), 'B') ||\n                setweight(to_tsvector(array_to_string(NEW.tags, ',')), 'C') ||\n                setweight(to_tsvector(coalesce(NEW.description, '')), 'D');\n\n          IF NEW.aom_id IS NOT NULL THEN\n            SELECT aom.nom, region.nom, aom.population_totale_2014 INTO nom, region_nom, population\n            FROM aom\n            JOIN region ON region.id = aom.region_id\n            WHERE aom.id = NEW.aom_id;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector(coalesce(nom, '')), 'A') ||\n              setweight(to_tsvector(coalesce(region_nom, '')), 'B');\n            NEW.population = population;\n\n            SELECT string_agg(commune.nom, ' ') INTO nom\n            FROM commune\n            JOIN aom ON aom.composition_res_id = commune.aom_res_id\n            WHERE aom.id = NEW.aom_id;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector(coalesce(nom, '')), 'B');\n\n          ELSIF NEW.region_id IS NOT NULL THEN\n            SELECT region.nom, SUM(aom.population_totale_2014) INTO nom, population\n            FROM region\n            JOIN aom ON aom.region_id = region.id\n            WHERE region.id = NEW.region_id\n            GROUP BY region.nom;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector(coalesce(nom, '')), 'A');\n            NEW.population = population;\n          END IF;\n\n          IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n            SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector(coalesce(nom, '')), 'A');\n          END IF;\n\n          RETURN NEW;\n          END\n          $$ LANGUAGE plpgsql;\n      \"\"\",\n      \"DROP FUNCTION IF EXISTS dataset_search_update;\"\n    )\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\", \"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190703092429_use_simple_index_search.exs",
    "content": "defmodule DB.Repo.Migrations.SearchCommune do\n  use Ecto.Migration\n\n  def change do\n    execute(\n      \"\"\"\n          CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n          DECLARE\n            nom text;\n            region_nom region.nom%TYPE;\n            population dataset.population%TYPE;\n          BEGIN\n\n          NEW.search_vector = setweight(to_tsvector('simple', coalesce(NEW.spatial, '')), 'B') ||\n                setweight(to_tsvector('simple', array_to_string(NEW.tags, ',')), 'C') ||\n                setweight(to_tsvector('simple', coalesce(NEW.description, '')), 'D');\n\n          IF NEW.aom_id IS NOT NULL THEN\n            SELECT aom.nom, region.nom, aom.population_totale_2014 INTO nom, region_nom, population\n            FROM aom\n            JOIN region ON region.id = aom.region_id\n            WHERE aom.id = NEW.aom_id;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector('simple', coalesce(nom, '')), 'A') ||\n              setweight(to_tsvector('simple', coalesce(region_nom, '')), 'B');\n            NEW.population = population;\n\n            SELECT string_agg(commune.nom, ' ') INTO nom\n            FROM commune\n            JOIN aom ON aom.composition_res_id = commune.aom_res_id\n            WHERE aom.id = NEW.aom_id;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector('simple', coalesce(nom, '')), 'B');\n\n          ELSIF NEW.region_id IS NOT NULL THEN\n            SELECT region.nom, SUM(aom.population_totale_2014) INTO nom, population\n            FROM region\n            JOIN aom ON aom.region_id = region.id\n            WHERE region.id = NEW.region_id\n            GROUP BY region.nom;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector('simple', coalesce(nom, '')), 'A');\n            NEW.population = population;\n          END IF;\n\n          IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n            SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n            NEW.search_vector = NEW.search_vector ||\n              setweight(to_tsvector('simple', coalesce(nom, '')), 'A');\n          END IF;\n\n          RETURN NEW;\n          END\n          $$ LANGUAGE plpgsql;\n      \"\"\",\n      \"DROP FUNCTION IF EXISTS dataset_search_update;\"\n    )\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\", \"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190910091521_change_siren.exs",
    "content": "defmodule DB.Repo.Migrations.ChangeSiren do\n  use Ecto.Migration\n\n  def change do\n    alter table(:aom) do\n      modify(:siren, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20190911085235_add_resource_content_hash.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceSha do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:content_hash, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20191216144800_add_resource_tags.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceTags do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:auto_tags, {:array, :string}, default: [])\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200106094910_nb_reuses.exs",
    "content": "defmodule DB.Repo.Migrations.NbReuses do\n  use Ecto.Migration\n  require Logger\n\n  def change do\n    alter table(:dataset) do\n      add(:nb_reuses, :integer)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200110124026_unaccent.exs",
    "content": "defmodule DB.Repo.Migrations.Unaccent do\n  use Ecto.Migration\n\n  def change do\n    execute(\"CREATE EXTENSION IF NOT EXISTS unaccent\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200114101848_change_search_conf.exs",
    "content": "defmodule DB.Repo.Migrations.ChangeSearchConf do\n  use Ecto.Migration\n\n  def up do\n    execute(\"\"\"\n    CREATE TEXT SEARCH CONFIGURATION custom_french ( COPY = simple );\n    \"\"\")\n\n    execute(\"\"\"\n    ALTER TEXT SEARCH CONFIGURATION custom_french\n      ALTER MAPPING FOR hword, hword_part, hword_asciipart, word\n      WITH unaccent, simple;\n    \"\"\")\n\n    # we use the same 'dataset_search_update' function as before,\n    # but using the custom_french configuration\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.spatial, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.population_totale_2014 INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.population_totale_2014) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n    SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\", \"\")\n  end\n\n  def down do\n    # for rollback we use again the 'simple' text configuration\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('simple', coalesce(NEW.spatial, '')), 'B') ||\n    setweight(to_tsvector('simple', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('simple', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.population_totale_2014 INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('simple', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('simple', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('simple', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.population_totale_2014) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('simple', coalesce(nom, '')), 'A');\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n    SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('simple', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"DROP TEXT SEARCH CONFIGURATION custom_french;\")\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\", \"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200114143832_add_dataset_view.exs",
    "content": "defmodule DB.Repo.Migrations.AddDatasetView do\n  use Ecto.Migration\n\n  def change do\n    execute(\n      \"\"\"\n      CREATE VIEW dataset_geographic_view AS\n      SELECT\n        id as dataset_id,\n        COALESCE(region_id, (SELECT region_id FROM aom WHERE aom.id = aom_id)) as region_id,\n        COALESCE((SELECT aom.geom FROM aom WHERE aom.id = aom_id), (SELECT region.geom FROM region WHERE region.id = region_id)) as geom\n      FROM dataset;\n      \"\"\",\n      \"DROP VIEW dataset_geographic_view;\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200116092044_link_dataset_commune.exs",
    "content": "defmodule DB.Repo.Migrations.LinkDatasetCommune do\n  use Ecto.Migration\n\n  def change do\n    create table(:dataset_communes, primary_key: false) do\n      add(:dataset_id, references(:dataset), on_delete: :delete_all)\n      add(:commune_id, references(:commune), on_delete: :delete_all)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200116163306_more_pt.exs",
    "content": "defmodule DB.Repo.Migrations.MorePt do\n  use Ecto.Migration\n\n  def change do\n    execute(\"UPDATE dataset SET type = 'public-transit' where type = 'long-distance-coach' or type = 'train';\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200120092242_add_communes_to_view.exs",
    "content": "defmodule DB.Repo.Migrations.AddCommunesToView do\n  use Ecto.Migration\n\n  def change do\n    execute(\n      \"\"\"\n      CREATE OR REPLACE VIEW dataset_geographic_view AS\n      SELECT\n        id as dataset_id,\n        COALESCE(\n          -- We take either directly the region\n          region_id,\n          -- Or the region of the aom\n          (SELECT region_id FROM aom WHERE aom.id = aom_id),\n          -- Or the region of a random city linked to the dataset\n          (SELECT\n            region_id\n            FROM aom\n            WHERE aom.id IN\n              (SELECT\n                max(commune.aom_res_id)\n                FROM commune\n                LEFT JOIN dataset_communes ON dataset.id = dataset_communes.dataset_id\n              )\n          )\n        ) as region_id,\n        COALESCE(\n          (SELECT aom.geom FROM aom WHERE aom.id = aom_id),\n          (SELECT region.geom FROM region WHERE region.id = region_id),\n          -- If the dataset is linked to cities, we get the union of the cities's geometry\n          (SELECT\n            ST_UNION(commune.geom)\n            FROM commune\n            LEFT JOIN dataset_communes ON commune.id = dataset_communes.commune_id\n            WHERE dataset_communes.dataset_id = dataset.id\n          )\n        ) as geom\n      FROM dataset;\n      \"\"\",\n      # replace back old view (from 20200114143832_add_dataset_view.exs)\n      \"\"\"\n      CREATE OR REPLACE VIEW dataset_geographic_view AS\n      SELECT\n        id as dataset_id,\n        COALESCE(region_id, (SELECT region_id FROM aom WHERE aom.id = aom_id)) as region_id,\n        COALESCE((SELECT aom.geom FROM aom WHERE aom.id = aom_id), (SELECT region.geom FROM region WHERE region.id = region_id)) as geom\n      FROM dataset;\n      \"\"\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200120154256_dataset_associated_territory.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetAssociatedTerritory do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:associated_territory_name, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200130152852_epci.exs",
    "content": "defmodule DB.Repo.Migrations.Epci do\n  use Ecto.Migration\n\n  def change do\n    create table(:epci) do\n      add(:code, :string)\n      add(:nom, :string)\n      add(:communes_insee, {:array, :string})\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200212092113_materialized_geographic_view.exs",
    "content": "defmodule DB.Repo.Migrations.MaterializedGeographicView do\n  @moduledoc \"\"\"\n  Replace the view by a materialized view,\n  since we do lots of join on this view the performance\n  will be way better with a materialized view\n  \"\"\"\n  use Ecto.Migration\n\n  def up do\n    # drop the old 'classic' view\n    execute(\"DROP VIEW dataset_geographic_view;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW dataset_geographic_view AS\n    SELECT\n      id as dataset_id,\n      COALESCE(\n        -- We take either directly the region\n        region_id,\n        -- Or the region of the aom\n        (SELECT region_id FROM aom WHERE aom.id = aom_id),\n        -- Or the region of a random city linked to the dataset\n        (SELECT\n          region_id\n          FROM aom\n          WHERE aom.id IN\n            (SELECT\n              max(commune.aom_res_id)\n              FROM commune\n              LEFT JOIN dataset_communes ON dataset.id = dataset_communes.dataset_id\n            )\n        )\n      ) as region_id,\n      COALESCE(\n        (SELECT aom.geom FROM aom WHERE aom.id = aom_id),\n        (SELECT region.geom FROM region WHERE region.id = region_id),\n        -- If the dataset is linked to cities, we get the union of the cities's geometry\n        (SELECT\n          ST_UNION(commune.geom)\n          FROM commune\n          LEFT JOIN dataset_communes ON commune.id = dataset_communes.commune_id\n          WHERE dataset_communes.dataset_id = dataset.id\n        )\n      ) as geom\n    FROM dataset\n    WITH DATA;\n    \"\"\")\n\n    # Add an index on dataset_id since we'll often make a join on this\n    execute(\"CREATE INDEX dataset_id_idx ON dataset_geographic_view (dataset_id);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_dataset_geographic_view()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW dataset_geographic_view;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger\n    execute(\"\"\"\n    CREATE TRIGGER refresh_dataset_geographic_view_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON dataset\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_dataset_geographic_view();\n    \"\"\")\n  end\n\n  def down do\n    # put back the old view\n    execute(\"DROP TRIGGER refresh_dataset_geographic_view_trigger ON dataset;\")\n    execute(\"DROP FUNCTION refresh_dataset_geographic_view;\")\n    execute(\"DROP MATERIALIZED VIEW dataset_geographic_view;\")\n\n    execute(\"\"\"\n    CREATE OR REPLACE VIEW dataset_geographic_view AS\n    SELECT\n      id as dataset_id,\n      COALESCE(\n        -- We take either directly the region\n        region_id,\n        -- Or the region of the aom\n        (SELECT region_id FROM aom WHERE aom.id = aom_id),\n        -- Or the region of a random city linked to the dataset\n        (SELECT\n          region_id\n          FROM aom\n          WHERE aom.id IN\n            (SELECT\n              max(commune.aom_res_id)\n              FROM commune\n              LEFT JOIN dataset_communes ON dataset.id = dataset_communes.dataset_id\n            )\n        )\n      ) as region_id,\n      COALESCE(\n        (SELECT aom.geom FROM aom WHERE aom.id = aom_id),\n        (SELECT region.geom FROM region WHERE region.id = region_id),\n        -- If the dataset is linked to cities, we get the union of the cities's geometry\n        (SELECT\n          ST_UNION(commune.geom)\n          FROM commune\n          LEFT JOIN dataset_communes ON commune.id = dataset_communes.commune_id\n          WHERE dataset_communes.dataset_id = dataset.id\n        )\n      ) as geom\n    FROM dataset;\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200217142350_add_commune_region.exs",
    "content": "defmodule DB.Repo.Migrations.AddCommuneRegion do\n  use Ecto.Migration\n\n  def up do\n    alter table(:commune) do\n      add(:region_id, references(:region))\n    end\n\n    create(index(\"commune\", [:geom], using: :gist))\n\n    create(index(\"region\", [:geom], using: :gist))\n    execute(\"UPDATE region SET geom = ST_SETSRID(region.geom, 4326)\")\n\n    execute(\"\"\"\n    UPDATE commune c1 SET region_id = (\n      SELECT region.id\n      FROM commune c2, region\n      WHERE c1.id = c2.id\n            AND ST_AREA(\n                ST_BUFFER(\n                  ST_INTERSECTION(ST_BUFFER(region.geom, 0), ST_BUFFER(c2.geom, 0)\n                ), 0)\n              )\n              / ST_AREA(c2.geom) > 0.9\n            AND c2.geom && region.geom\n            AND region.geom IS NOT NULL\n            AND c2.geom IS NOT NULL\n            LIMIT 1\n      );\n    \"\"\")\n  end\n\n  def down do\n    alter table(:commune) do\n      remove(:region_id)\n    end\n\n    drop(index(\"commune\", [:geom]))\n    drop(index(\"region\", [:geom]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200220141013_fuzzystrmatch.exs",
    "content": "defmodule DB.Repo.Migrations.Fuzzystrmatch do\n  use Ecto.Migration\n\n  def change do\n    execute(\"CREATE EXTENSION IF NOT EXISTS fuzzystrmatch\", \"DROP EXTENSION fuzzystrmatch\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200224093551_places_mat_view.exs",
    "content": "defmodule DB.Repo.Migrations.TestPlaces do\n  use Ecto.Migration\n\n  def up do\n    # we use pg_trgm extension for trigram match\n    execute(\"CREATE EXTENSION IF NOT EXISTS pg_trgm;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW places AS\n    SELECT nom, place_id, type, indexed_name\n    FROM\n    (\n        (\n          SELECT\n          c.nom AS nom,\n          c.insee AS place_id,\n          'commune' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM commune c\n        )\n        UNION\n        (\n          SELECT\n          r.nom AS nom,\n          CAST(r.id AS varchar) AS place_id,\n          'region' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM region r\n        )\n        UNION\n        (\n          SELECT a.nom AS nom,\n          CAST(a.id AS varchar) AS place_id,\n          'aom' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM aom a\n        )\n    ) AS place\n    WITH DATA\n    \"\"\")\n\n    execute(\"CREATE INDEX indexed_name_index ON places USING GIN(indexed_name gin_trgm_ops);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_places()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW places;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger for region, aom and commune update\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_region_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON region\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_aom_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON aom\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_commune_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON commune\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n  end\n\n  def down do\n    execute(\"DROP MATERIALIZED VIEW places;\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200225140241_slug_constraint.exs",
    "content": "defmodule DB.Repo.Migrations.SlugConstraint do\n  use Ecto.Migration\n\n  def change do\n    create(unique_index(:dataset, [:slug]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200311095433_correction_of_dataset_geographic_view.exs",
    "content": "defmodule DB.Repo.Migrations.CorrectionOfDatasetGeographicView do\n  @moduledoc \"\"\"\n  Correction in the materialized view.\n  No region_id was fetched for dataset linked to communes only\n  \"\"\"\n  use Ecto.Migration\n\n  def up do\n    # drop the materialized view\n    execute(\"DROP TRIGGER refresh_dataset_geographic_view_trigger ON dataset;\")\n    execute(\"DROP FUNCTION refresh_dataset_geographic_view;\")\n    execute(\"DROP MATERIALIZED VIEW dataset_geographic_view;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW dataset_geographic_view AS\n    SELECT\n      id as dataset_id,\n      COALESCE(\n        -- We take either directly the region\n        region_id,\n        -- Or the region of the aom\n        (SELECT region_id FROM aom WHERE aom.id = aom_id),\n        -- Or the region of a random city linked to the dataset\n        (SELECT c.region_id\n       \t\tFROM dataset_communes dc\n       \t\tLEFT JOIN commune c\n       \t\tON dc.commune_id = c.id\n       \t\tWHERE dc.dataset_id = dataset.id\n       \t\torder BY aom_res_id desc\n       \t\tLIMIT 1\n        )\n      ) as region_id,\n      COALESCE(\n        (SELECT aom.geom FROM aom WHERE aom.id = aom_id),\n        (SELECT region.geom FROM region WHERE region.id = region_id),\n        -- If the dataset is linked to cities, we get the union of the cities's geometry\n        (SELECT\n          ST_UNION(commune.geom)\n          FROM commune\n          LEFT JOIN dataset_communes ON commune.id = dataset_communes.commune_id\n          WHERE dataset_communes.dataset_id = dataset.id\n        )\n      ) as geom\n    FROM dataset\n    WITH DATA;\n    \"\"\")\n\n    # Add an index on dataset_id since we'll often make a join on this\n    execute(\"CREATE INDEX dataset_id_idx ON dataset_geographic_view (dataset_id);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_dataset_geographic_view()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW dataset_geographic_view;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger\n    execute(\"\"\"\n    CREATE TRIGGER refresh_dataset_geographic_view_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON dataset\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_dataset_geographic_view();\n    \"\"\")\n  end\n\n  def down do\n    # restore the previous materialized view\n    execute(\"DROP TRIGGER refresh_dataset_geographic_view_trigger ON dataset;\")\n    execute(\"DROP FUNCTION refresh_dataset_geographic_view;\")\n    execute(\"DROP MATERIALIZED VIEW dataset_geographic_view;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW dataset_geographic_view AS\n    SELECT\n      id as dataset_id,\n      COALESCE(\n        -- We take either directly the region\n        region_id,\n        -- Or the region of the aom\n        (SELECT region_id FROM aom WHERE aom.id = aom_id),\n        -- Or the region of a random city linked to the dataset\n        (SELECT\n          region_id\n          FROM aom\n          WHERE aom.id IN\n            (SELECT\n              max(commune.aom_res_id)\n              FROM commune\n              LEFT JOIN dataset_communes ON dataset.id = dataset_communes.dataset_id\n            )\n        )\n      ) as region_id,\n      COALESCE(\n        (SELECT aom.geom FROM aom WHERE aom.id = aom_id),\n        (SELECT region.geom FROM region WHERE region.id = region_id),\n        -- If the dataset is linked to cities, we get the union of the cities's geometry\n        (SELECT\n          ST_UNION(commune.geom)\n          FROM commune\n          LEFT JOIN dataset_communes ON commune.id = dataset_communes.commune_id\n          WHERE dataset_communes.dataset_id = dataset.id\n        )\n      ) as geom\n    FROM dataset\n    WITH DATA;\n    \"\"\")\n\n    # Add an index on dataset_id since we'll often make a join on this\n    execute(\"CREATE INDEX dataset_id_idx ON dataset_geographic_view (dataset_id);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_dataset_geographic_view()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW dataset_geographic_view;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger\n    execute(\"\"\"\n    CREATE TRIGGER refresh_dataset_geographic_view_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON dataset\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_dataset_geographic_view();\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200420082026_validation_fields.exs",
    "content": "defmodule DB.Repo.Migrations.ValidationFields do\n  use Ecto.Migration\n\n  def up do\n    alter table(:validations) do\n      add(:max_error, :string)\n    end\n\n    alter table(:resource) do\n      add(:start_date, :date)\n      add(:end_date, :date)\n    end\n\n    create(index(:validations, [:max_error]))\n    create(index(:resource, [:start_date, :end_date]))\n\n    dt = Date.utc_today() |> Date.to_iso8601()\n\n    # NOTE: this migration has been \"retrofitted\" to make\n    # https://github.com/etalab/transport-site/pull/1873 work\n    execute(\"\"\"\n    UPDATE validations v SET\n    max_error = (\n      SELECT severity FROM (\n        SELECT distinct(json_data.value#>>'{0,severity}') as severity\n        FROM validations\n        JOIN resource ON resource.id = validations.resource_id,\n        jsonb_each(validations.details) json_data\n        WHERE\n        (validations.id = v.id)\n        -- we only consider valid resources\n        AND resource.metadata->>'end_date' IS NOT NULL\n        AND resource.metadata->>'end_date' > '#{dt}'\n      ) AS severities\n      ORDER BY (\n        CASE severity::text\n          WHEN 'Fatal' THEN 1\n          WHEN 'Error' THEN 2\n          WHEN 'Warning' THEN 3\n          WHEN 'Information' THEN 4\n          WHEN 'Irrelevant' THEN 5\n        END\n      ) ASC\n      LIMIT 1\n    );\n    \"\"\")\n\n    execute(\"\"\"\n    UPDATE resource SET\n    start_date = TO_DATE(metadata->>'start_date', 'YYYY-MM-DD'),\n    end_date = TO_DATE(metadata->>'end_date', 'YYYY-MM-DD');\n    \"\"\")\n  end\n\n  def down do\n    alter table(:validations) do\n      remove(:start_date)\n      remove(:end_date)\n      remove(:max_error)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200429171646_netex_conversion_date.exs",
    "content": "defmodule DB.Repo.Migrations.NetexConverionDate do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:netex_conversion_latest_content_hash, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200505124346_validation_sha.exs",
    "content": "defmodule DB.Repo.Migrations.ValidationSha do\n  use Ecto.Migration\n\n  def change do\n    alter table(:validations) do\n      add(:validation_latest_content_hash, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200527084259_community_resources.exs",
    "content": "defmodule DB.Repo.Migrations.CommunautaryResources do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:is_community_resource, :boolean)\n      add(:description, :string)\n      add(:community_resource_publisher, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200603103539_add_metadatas_for_on_the_fly_validations.exs",
    "content": "defmodule DB.Repo.Migrations.AddMetadatasForOnTheFlyValidations do\n  use Ecto.Migration\n\n  def change do\n    alter table(:validations) do\n      add(:on_the_fly_validation_metadata, :map)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200603130643_description_text.exs",
    "content": "defmodule DB.Repo.Migrations.DescriptionText do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      modify(:description, :text)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200608155921_rename_netex.exs",
    "content": "defmodule DB.Repo.Migrations.RenameNetex do\n  use Ecto.Migration\n\n  def change do\n    execute(\"UPDATE resource SET format = 'NeTEx' where format = 'netex';\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200610162056_geojson_content_hash.exs",
    "content": "defmodule DB.Repo.Migrations.GeojsonContentHash do\n  use Ecto.Migration\n\n  def change do\n    rename(table(:resource), :netex_conversion_latest_content_hash, to: :conversion_latest_content_hash)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200616101043_add_resource_filesize.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceFilesize do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:filesize, :integer)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200622141231_create_import_logs_table.exs",
    "content": "defmodule DB.Repo.Migrations.CreateImportLogsTable do\n  use Ecto.Migration\n\n  def change do\n    create table(:logs_import) do\n      add(:dataset_id, references(:dataset))\n      add(:datagouv_id, :string)\n      add(:timestamp, :utc_datetime)\n      add(:is_success, :boolean)\n      add(:error_msg, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200623112618_import_logs_unlimited_text_length_logs_table.exs",
    "content": "defmodule DB.Repo.Migrations.ImportLogsUnlimitedTextLengthLogsTable do\n  use Ecto.Migration\n\n  def change do\n    alter table(:logs_import) do\n      modify(:error_msg, :text)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200623134041_create_validation_logs_table.exs",
    "content": "defmodule DB.Repo.Migrations.CreateValidationLogsTable do\n  use Ecto.Migration\n\n  def change do\n    create table(:logs_validation) do\n      add(:resource_id, references(:resource))\n      add(:timestamp, :utc_datetime)\n      add(:is_success, :boolean)\n      add(:error_msg, :text)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200623162648_skipped_validation.exs",
    "content": "defmodule DB.Repo.Migrations.SkippedValidation do\n  use Ecto.Migration\n\n  def change do\n    alter table(:logs_validation) do\n      add(:skipped, :boolean, default: false)\n      add(:skipped_reason, :string)\n\n      modify(:error_msg, :text)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200630154908_original_resource_url.exs",
    "content": "defmodule DB.Repo.Migrations.OriginalResourceUrl do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:original_resource_url, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200703080414_resource_log_validation.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceLogValidation do\n  use Ecto.Migration\n\n  def change do\n    # droping the constraint because it will be readed by the modification of the field\n    drop(constraint(:logs_validation, \"logs_validation_resource_id_fkey\"))\n\n    alter table(:logs_validation) do\n      modify(:resource_id, references(:resource, on_delete: :delete_all))\n    end\n\n    drop(constraint(:logs_import, \"logs_import_dataset_id_fkey\"))\n\n    alter table(:logs_import) do\n      modify(:dataset_id, references(:dataset, on_delete: :delete_all))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200818124059_add_geojson_to_validation_data.exs",
    "content": "defmodule DB.Repo.Migrations.AddGeojsonToValidationData do\n  use Ecto.Migration\n\n  def change do\n    alter table(:validations) do\n      add(:data_vis, :map)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200907134321_change_dataset_on_delete_behavior.exs",
    "content": "defmodule DB.Repo.Migrations.ChangeDatasetOnDeleteBehavior do\n  use Ecto.Migration\n\n  def up do\n    drop(constraint(:aom, \"aom_parent_dataset_id_fkey\"))\n\n    alter table(:aom) do\n      modify(:parent_dataset_id, references(\"dataset\", on_delete: :nilify_all))\n    end\n  end\n\n  def down do\n    drop(constraint(:aom, \"aom_parent_dataset_id_fkey\"))\n\n    alter table(:aom) do\n      modify(:parent_dataset_id, references(\"dataset\"))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20200908085058_resource_datagouv_id.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceDatagouvId do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:datagouv_id, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20201103174924_features_and_modes.exs",
    "content": "defmodule DB.Repo.Migrations.Features do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:features, {:array, :string}, default: [])\n    end\n\n    rename(table(:resource), :auto_tags, to: :modes)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20201103183100_more_places.exs",
    "content": "defmodule DB.Repo.Migrations.MorePlaces do\n  use Ecto.Migration\n\n  def up do\n    # we drop the old 'places' view, before recreating it\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_region_trigger ON region;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_aom_trigger ON aom;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_commune_trigger ON commune;\")\n    execute(\"DROP FUNCTION refresh_places;\")\n    execute(\"DROP MATERIALIZED VIEW places;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW places AS\n    SELECT nom, place_id, type, indexed_name\n    FROM\n    (\n        (\n          SELECT\n          c.nom AS nom,\n          c.insee AS place_id,\n          'commune' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM commune c\n        )\n        UNION\n        (\n          SELECT\n          r.nom AS nom,\n          CAST(r.id AS varchar) AS place_id,\n          'region' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM region r\n        )\n        UNION\n        (\n          SELECT a.nom AS nom,\n          CAST(a.id AS varchar) AS place_id,\n          'aom' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM aom a\n        )\n        UNION\n        (\n          SELECT features AS nom,\n          features AS place_id,\n          'feature' AS type,\n          unaccent(replace(features, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(features)) as features FROM resource\n          ) as features\n        )\n        UNION\n        (\n          SELECT modes AS nom,\n          modes AS place_id,\n          'mode' AS type,\n          unaccent(replace(modes, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(modes)) as modes FROM resource\n          ) as modes\n        )\n    ) AS place\n    WITH DATA\n    \"\"\")\n\n    execute(\"CREATE INDEX indexed_name_index ON places USING GIN(indexed_name gin_trgm_ops);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_places()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW places;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger for region, aom and commune update\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_region_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON region\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_aom_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON aom\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_commune_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON commune\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_resources_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON resource\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n  end\n\n  def down do\n    execute(\"DROP TRIGGER refresh_places_region_trigger ON region;\")\n    execute(\"DROP TRIGGER refresh_places_aom_trigger ON aom;\")\n    execute(\"DROP TRIGGER refresh_places_commune_trigger ON commune;\")\n    execute(\"DROP TRIGGER refresh_places_resources_trigger ON resource;\")\n    execute(\"DROP FUNCTION refresh_places;\")\n    execute(\"DROP MATERIALIZED VIEW places;\")\n\n    # migration from 20200224093551_places_mat_view.exs\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW places AS\n    SELECT nom, place_id, type, indexed_name\n    FROM\n    (\n        (\n          SELECT\n          c.nom AS nom,\n          c.insee AS place_id,\n          'commune' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM commune c\n        )\n        UNION\n        (\n          SELECT\n          r.nom AS nom,\n          CAST(r.id AS varchar) AS place_id,\n          'region' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM region r\n        )\n        UNION\n        (\n          SELECT a.nom AS nom,\n          CAST(a.id AS varchar) AS place_id,\n          'aom' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM aom a\n        )\n    ) AS place\n    WITH DATA\n    \"\"\")\n\n    execute(\"CREATE INDEX indexed_name_index ON places USING GIN(indexed_name gin_trgm_ops);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_places()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW places;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger for region, aom and commune update\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_region_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON region\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_aom_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON aom\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_commune_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON commune\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20201112110459_update_aoms_fk.exs",
    "content": "defmodule DB.Repo.Migrations.UpdateAomsFk do\n  use Ecto.Migration\n\n  def up do\n    # Add an update cascade to the foreign key for an aom composition_res_id change to be propagated\n    # Note: it is not supported by ecto\n    execute(\"\"\"\n    ALTER TABLE commune\n    DROP CONSTRAINT commune_aom_res_id_fkey,\n    ADD CONSTRAINT commune_aom_res_id_fkey\n    FOREIGN KEY (aom_res_id)\n    REFERENCES aom(composition_res_id)\n    ON UPDATE CASCADE\n    ON DELETE SET NULL;\n    \"\"\")\n  end\n\n  def down do\n    execute(\"\"\"\n    ALTER TABLE commune\n    DROP CONSTRAINT commune_aom_res_id_fkey,\n    ADD CONSTRAINT commune_aom_res_id_fkey\n    FOREIGN KEY (aom_res_id)\n    REFERENCES aom(composition_res_id);\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20201209152013_add_indices.exs",
    "content": "defmodule DB.Repo.Migrations.AddIndices do\n  use Ecto.Migration\n\n  def change do\n    # add some indices to speed up the stats query\n    create(index(:resource, [:format, :dataset_id]))\n    create(index(:dataset, [:aom_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20201214163517_stats_history.exs",
    "content": "defmodule DB.Repo.Migrations.StatsHistory do\n  use Ecto.Migration\n\n  def change do\n    create table(:stats_history) do\n      add(:timestamp, :utc_datetime)\n      add(:metric, :string)\n      add(:value, :decimal)\n    end\n\n    create(index(:stats_history, [:timestamp, :metric]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20210126172850_remove_refresh_places_resources_trigger.exs",
    "content": "defmodule DB.Repo.Migrations.RemoveRefreshPlacesResourcesTrigger do\n  use Ecto.Migration\n\n  def up do\n    execute(\"DROP TRIGGER refresh_places_resources_trigger ON resource;\")\n  end\n\n  def down do\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_resources_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON resource\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20210512142927_add_discussion_timestamp.exs",
    "content": "defmodule DB.Repo.Migrations.AddDiscussionTimestamp do\n  use Ecto.Migration\n\n  def change do\n    alter table(\"dataset\") do\n      add(:latest_data_gouv_comment_timestamp, :naive_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20210615132842_charsharing_to_carpooling.exs",
    "content": "defmodule DB.Repo.Migrations.CharsharingToCarpooling do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE dataset set type='carpooling-areas' where type='carsharing-areas'\")\n  end\n\n  def down do\n    execute(\"UPDATE dataset set type='carsharing-areas' where type='carpooling-areas'\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20210622150648_dataset_communes_on_delete.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetCommunesOnDelete do\n  @moduledoc \"\"\"\n    the on_delete action were misplaced in 20200116092044_link_dataset_commune.exs\n    but you cannot alter a table when a view depends on that table. So I need to delete the dataset_geographic_view and\n    its trigger, alter the table dataset_communes, and recreate the view.\n    The code to create the view is taken from the previous migration 20210622150648_dataset_communes_on_delete.exs\n  \"\"\"\n  use Ecto.Migration\n\n  def up do\n    drop_materialized_view()\n\n    drop(constraint(:dataset_communes, \"dataset_communes_commune_id_fkey\"))\n    drop(constraint(:dataset_communes, \"dataset_communes_dataset_id_fkey\"))\n\n    alter table(:dataset_communes) do\n      modify(:dataset_id, references(:dataset, on_delete: :delete_all))\n      modify(:commune_id, references(:commune, on_delete: :delete_all))\n    end\n\n    recreate_materialized_view()\n  end\n\n  def down do\n    drop_materialized_view()\n\n    drop(constraint(:dataset_communes, \"dataset_communes_commune_id_fkey\"))\n    drop(constraint(:dataset_communes, \"dataset_communes_dataset_id_fkey\"))\n\n    alter table(:dataset_communes) do\n      modify(:dataset_id, references(:dataset))\n      modify(:commune_id, references(:commune))\n    end\n\n    recreate_materialized_view()\n  end\n\n  def drop_materialized_view do\n    execute(\"DROP TRIGGER refresh_dataset_geographic_view_trigger ON dataset;\")\n    execute(\"DROP FUNCTION refresh_dataset_geographic_view;\")\n    execute(\"DROP MATERIALIZED VIEW dataset_geographic_view;\")\n  end\n\n  def recreate_materialized_view do\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW dataset_geographic_view AS\n    SELECT\n      id as dataset_id,\n      COALESCE(\n        -- We take either directly the region\n        region_id,\n        -- Or the region of the aom\n        (SELECT region_id FROM aom WHERE aom.id = aom_id),\n        -- Or the region of a random city linked to the dataset\n        (SELECT c.region_id\n          FROM dataset_communes dc\n          LEFT JOIN commune c\n          ON dc.commune_id = c.id\n          WHERE dc.dataset_id = dataset.id\n          order BY aom_res_id desc\n          LIMIT 1\n        )\n      ) as region_id,\n      COALESCE(\n        (SELECT aom.geom FROM aom WHERE aom.id = aom_id),\n        (SELECT region.geom FROM region WHERE region.id = region_id),\n        -- If the dataset is linked to cities, we get the union of the cities's geometry\n        (SELECT\n          ST_UNION(commune.geom)\n          FROM commune\n          LEFT JOIN dataset_communes ON commune.id = dataset_communes.commune_id\n          WHERE dataset_communes.dataset_id = dataset.id\n        )\n      ) as geom\n    FROM dataset\n    WITH DATA;\n    \"\"\")\n\n    # Add an index on dataset_id since we'll often make a join on this\n    execute(\"CREATE INDEX dataset_id_idx ON dataset_geographic_view (dataset_id);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n      CREATE OR REPLACE FUNCTION refresh_dataset_geographic_view()\n      RETURNS trigger AS $$\n      BEGIN\n        REFRESH MATERIALIZED VIEW dataset_geographic_view;\n        RETURN NULL;\n      END;\n      $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger\n    execute(\"\"\"\n      CREATE TRIGGER refresh_dataset_geographic_view_trigger\n      AFTER INSERT OR UPDATE OR DELETE\n      ON dataset\n      FOR EACH STATEMENT\n      EXECUTE PROCEDURE refresh_dataset_geographic_view();\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20210623140048_add_nouvelle_caledonie.exs",
    "content": "defmodule Elixir.DB.Repo.Migrations.AddNouvelleCaledonie do\n  use Ecto.Migration\n\n  def up do\n    execute(\"\"\"\n      insert into region (nom, geom) values ('Nouvelle-Calédonie', 'MultiPolygon (((166.489958 -22.222429, 166.489325 -22.223471, 166.494259 -22.224151, 166.491392 -22.226864, 166.495365 -22.225801, 166.492658 -22.231475, 166.50325 -22.238791, 166.504185 -22.241116, 166.496524 -22.238774, 166.492732 -22.240373, 166.487942 -22.23499, 166.485789 -22.237294, 166.48855 -22.237932, 166.488827 -22.239536, 166.48598 -22.239015, 166.487351 -22.240604, 166.485795 -22.24114, 166.482892 -22.23879, 166.483692 -22.242489, 166.490469 -22.241949, 166.488124 -22.244328, 166.492175 -22.243618, 166.490291 -22.245494, 166.493464 -22.246246, 166.493224 -22.248552, 166.496139 -22.250142, 166.493194 -22.250869, 166.489198 -22.245901, 166.484739 -22.246049, 166.486761 -22.246686, 166.483807 -22.247349, 166.485484 -22.248653, 166.489017 -22.248063, 166.487281 -22.250208, 166.490685 -22.249725, 166.489628 -22.252082, 166.493205 -22.252459, 166.493945 -22.253482, 166.492277 -22.255319, 166.491647 -22.254558, 166.489998 -22.254318, 166.490083 -22.255382, 166.490332 -22.255988, 166.491054 -22.254601, 166.493483 -22.256894, 166.490598 -22.259795, 166.488658 -22.259764, 166.489589 -22.257654, 166.487863 -22.25371, 166.489163 -22.258138, 166.487048 -22.253404, 166.484238 -22.252043, 166.487408 -22.257097, 166.486229 -22.257248, 166.485303 -22.257756, 166.485904 -22.258848, 166.482579 -22.256983, 166.480385 -22.257636, 166.48057 -22.255267, 166.48298 -22.25454, 166.480643 -22.252759, 166.478095 -22.253438, 166.478462 -22.255972, 166.476749 -22.255803, 166.478623 -22.256414, 166.477794 -22.256876, 166.477881 -22.257205, 166.479841 -22.256727, 166.475935 -22.258913, 166.474001 -22.254662, 166.477194 -22.252021, 166.47397 -22.251284, 166.476955 -22.24943, 166.47263 -22.250819, 166.473563 -22.255922, 166.475828 -22.258985, 166.471972 -22.267351, 166.475457 -22.268679, 166.475602 -22.27116, 166.480588 -22.276749, 166.478247 -22.279467, 166.479424 -22.279724, 166.481425 -22.283311, 166.479041 -22.28357, 166.478055 -22.281452, 166.479668 -22.28085, 166.479929 -22.282615, 166.479715 -22.280386, 166.477361 -22.279957, 166.477655 -22.28105, 166.476612 -22.279721, 166.477007 -22.280899, 166.474105 -22.282888, 166.474875 -22.284419, 166.472727 -22.2833, 166.468342 -22.28616, 166.466192 -22.285774, 166.466389 -22.282675, 166.468489 -22.281553, 166.470381 -22.282564, 166.472539 -22.280509, 166.471073 -22.28044, 166.470777 -22.279891, 166.47181 -22.279383, 166.472549 -22.279849, 166.472907 -22.281109, 166.476255 -22.277801, 166.469867 -22.279095, 166.471954 -22.278026, 166.472934 -22.276546, 166.471984 -22.274193, 166.472747 -22.275197, 166.473107 -22.27362, 166.472 -22.271515, 166.471098 -22.273762, 166.469932 -22.270649, 166.469554 -22.274184, 166.470686 -22.273824, 166.469451 -22.274499, 166.468819 -22.280575, 166.46092 -22.279287, 166.458232 -22.281732, 166.459178 -22.284592, 166.457469 -22.286438, 166.459111 -22.288039, 166.459517 -22.292336, 166.457521 -22.30105, 166.462144 -22.306639, 166.45596 -22.311848, 166.449808 -22.311259, 166.448207 -22.312451, 166.446939 -22.304324, 166.441113 -22.30271, 166.434398 -22.303712, 166.434966 -22.301896, 166.437716 -22.301003, 166.438038 -22.296838, 166.435915 -22.294846, 166.430662 -22.293808, 166.436607 -22.29147, 166.437934 -22.294119, 166.438859 -22.292547, 166.435682 -22.290316, 166.436896 -22.288855, 166.438785 -22.288869, 166.436854 -22.289985, 166.439263 -22.29, 166.439418 -22.288461, 166.442329 -22.289768, 166.444184 -22.288072, 166.443615 -22.284081, 166.439973 -22.284175, 166.440197 -22.28602, 166.439852 -22.283673, 166.432455 -22.283649, 166.436807 -22.279257, 166.435021 -22.27985, 166.436318 -22.276675, 166.437165 -22.279262, 166.441037 -22.277181, 166.440897 -22.27557, 166.435793 -22.276325, 166.438017 -22.274841, 166.436954 -22.268365, 166.427185 -22.268376, 166.424685 -22.266371, 166.426494 -22.263226, 166.439181 -22.265554, 166.443369 -22.261696, 166.440986 -22.259183, 166.438569 -22.261798, 166.433291 -22.254774, 166.428341 -22.253504, 166.427264 -22.249955, 166.429428 -22.245992, 166.431763 -22.244697, 166.443377 -22.248066, 166.448474 -22.251385, 166.447397 -22.249646, 166.447705 -22.249725, 166.449591 -22.248912, 166.442009 -22.246563, 166.442435 -22.245447, 166.438933 -22.242674, 166.435333 -22.244738, 166.434447 -22.242749, 166.429032 -22.24043, 166.424061 -22.241756, 166.426846 -22.246465, 166.424367 -22.248905, 166.418946 -22.243635, 166.414772 -22.247828, 166.41637 -22.239414, 166.413059 -22.239553, 166.410613 -22.243335, 166.406489 -22.240153, 166.408894 -22.23697, 166.407625 -22.234638, 166.399125 -22.235093, 166.39384 -22.230637, 166.395515 -22.229263, 166.399016 -22.230516, 166.402706 -22.227445, 166.409098 -22.233356, 166.414939 -22.228528, 166.418623 -22.2278, 166.421028 -22.229886, 166.423605 -22.228694, 166.424928 -22.231122, 166.428045 -22.231851, 166.429673 -22.231289, 166.430096 -22.228176, 166.428189 -22.227989, 166.429281 -22.225638, 166.428376 -22.223011, 166.426563 -22.223172, 166.429065 -22.222098, 166.430846 -22.222618, 166.430235 -22.224629, 166.435146 -22.225296, 166.43248 -22.228727, 166.438247 -22.232473, 166.438613 -22.22496, 166.447876 -22.226012, 166.438779 -22.224577, 166.439146 -22.222573, 166.442488 -22.22239, 166.446127 -22.224718, 166.447036 -22.223237, 166.453312 -22.225814, 166.453788 -22.228304, 166.449818 -22.226972, 166.454163 -22.228865, 166.4569 -22.23448, 166.456464 -22.240768, 166.45421 -22.241413, 166.455405 -22.242097, 166.454429 -22.24215, 166.453618 -22.242904, 166.455267 -22.242251, 166.455443 -22.244519, 166.453913 -22.244891, 166.4545 -22.246585, 166.453815 -22.246701, 166.45349 -22.246861, 166.451065 -22.248723, 166.450032 -22.248473, 166.450512 -22.248867, 166.453073 -22.249116, 166.454084 -22.246739, 166.454544 -22.248453, 166.458236 -22.244336, 166.464799 -22.245509, 166.466769 -22.243462, 166.469512 -22.243889, 166.473959 -22.243258, 166.476647 -22.244571, 166.477186 -22.244682, 166.477569 -22.244582, 166.474607 -22.242022, 166.467122 -22.243302, 166.467342 -22.239373, 166.469912 -22.237459, 166.46833 -22.236525, 166.471518 -22.238204, 166.468831 -22.235544, 166.462348 -22.244129, 166.463484 -22.241895, 166.461997 -22.24408, 166.458162 -22.244103, 166.456939 -22.242797, 166.458129 -22.242427, 166.455627 -22.242141, 166.457697 -22.240794, 166.457393 -22.234727, 166.455803 -22.230807, 166.458437 -22.228228, 166.458109 -22.22638, 166.460537 -22.226209, 166.459314 -22.224314, 166.461584 -22.224289, 166.461507 -22.222231, 166.463632 -22.223882, 166.464592 -22.222513, 166.465864 -22.223755, 166.468128 -22.222905, 166.464661 -22.221065, 166.468504 -22.218863, 166.467243 -22.21633, 166.466116 -22.217664, 166.461044 -22.218207, 166.463795 -22.217324, 166.461766 -22.21326, 166.460391 -22.212483, 166.459963 -22.2141, 166.45576 -22.215053, 166.457271 -22.210691, 166.455383 -22.209635, 166.450709 -22.212474, 166.45075 -22.209557, 166.447486 -22.206767, 166.447096 -22.211144, 166.444578 -22.211373, 166.444802 -22.209806, 166.440585 -22.207951, 166.440116 -22.2108, 166.441513 -22.2118, 166.439257 -22.21205, 166.422013 -22.200505, 166.432006 -22.200561, 166.437656 -22.206094, 166.436899 -22.202852, 166.440869 -22.203582, 166.438789 -22.201038, 166.442383 -22.197607, 166.436232 -22.199526, 166.435109 -22.198871, 166.43583 -22.195766, 166.429129 -22.196369, 166.423204 -22.193796, 166.426258 -22.190605, 166.428715 -22.194722, 166.432812 -22.192064, 166.439498 -22.19357, 166.441903 -22.192541, 166.431498 -22.182991, 166.425813 -22.181844, 166.425911 -22.178021, 166.431163 -22.181662, 166.433944 -22.180949, 166.433038 -22.177846, 166.43424 -22.179324, 166.43561 -22.17831, 166.437433 -22.18221, 166.443841 -22.181851, 166.447076 -22.179592, 166.451067 -22.180546, 166.450036 -22.17772, 166.44734 -22.178117, 166.448951 -22.177488, 166.448246 -22.17656, 166.440914 -22.177735, 166.440583 -22.176466, 166.437017 -22.176148, 166.431746 -22.177917, 166.434867 -22.175931, 166.443153 -22.17588, 166.445227 -22.173752, 166.443381 -22.172438, 166.442462 -22.175216, 166.440038 -22.174493, 166.442952 -22.173195, 166.438014 -22.172635, 166.438822 -22.169681, 166.434191 -22.166723, 166.43785 -22.172432, 166.434952 -22.174164, 166.423116 -22.177134, 166.424778 -22.176356, 166.421525 -22.173229, 166.425096 -22.175565, 166.429821 -22.175326, 166.426229 -22.174329, 166.432896 -22.170648, 166.4305 -22.165446, 166.433487 -22.166819, 166.431215 -22.165335, 166.430454 -22.162056, 166.426633 -22.162531, 166.426102 -22.165728, 166.42008 -22.171034, 166.421418 -22.173242, 166.419817 -22.173376, 166.419903 -22.175669, 166.418593 -22.173203, 166.416583 -22.173539, 166.417316 -22.174844, 166.415676 -22.17482, 166.416715 -22.176519, 166.415316 -22.177251, 166.416232 -22.182569, 166.413582 -22.183822, 166.41325 -22.179444, 166.409134 -22.176758, 166.408627 -22.173821, 166.40654 -22.172865, 166.40746 -22.172284, 166.406297 -22.172227, 166.406419 -22.171735, 166.406328 -22.17148, 166.407013 -22.171668, 166.407222 -22.17143, 166.407318 -22.171059, 166.40668 -22.169904, 166.406174 -22.169504, 166.407276 -22.17109, 166.406265 -22.171377, 166.405402 -22.173946, 166.39704 -22.174126, 166.39293 -22.171445, 166.389733 -22.172288, 166.389036 -22.174322, 166.387576 -22.172009, 166.390269 -22.170948, 166.388493 -22.170295, 166.389567 -22.170596, 166.390356 -22.170749, 166.390768 -22.170237, 166.38676 -22.168934, 166.386057 -22.167641, 166.38747 -22.16765, 166.385522 -22.165462, 166.385057 -22.168078, 166.383533 -22.168422, 166.379652 -22.165555, 166.378695 -22.164098, 166.380043 -22.163236, 166.377989 -22.162057, 166.376283 -22.163942, 166.380279 -22.169454, 166.367193 -22.167958, 166.366543 -22.170851, 166.368971 -22.172484, 166.36761 -22.17398, 166.368287 -22.176589, 166.374033 -22.181139, 166.380256 -22.190928, 166.377718 -22.193915, 166.377968 -22.198784, 166.373752 -22.200883, 166.372044 -22.207274, 166.367727 -22.204644, 166.367041 -22.20114, 166.37567 -22.193887, 166.374311 -22.187065, 166.373195 -22.18896, 166.370259 -22.188407, 166.36582 -22.192681, 166.366372 -22.195444, 166.367323 -22.191803, 166.366448 -22.195862, 166.361248 -22.200552, 166.357504 -22.199768, 166.354011 -22.202038, 166.353127 -22.204679, 166.354601 -22.205052, 166.35696 -22.210348, 166.355259 -22.218687, 166.350367 -22.218396, 166.346546 -22.22041, 166.343788 -22.224285, 166.344658 -22.226611, 166.3432 -22.226553, 166.340816 -22.223505, 166.334805 -22.222035, 166.335716 -22.22016, 166.331244 -22.215816, 166.334265 -22.212466, 166.341703 -22.213482, 166.345919 -22.209115, 166.347556 -22.206137, 166.347127 -22.194778, 166.343215 -22.193071, 166.341052 -22.193572, 166.339445 -22.194564, 166.339473 -22.19221, 166.339117 -22.194809, 166.340717 -22.194099, 166.339183 -22.196576, 166.333763 -22.197702, 166.331946 -22.19624, 166.331688 -22.191637, 166.320514 -22.185224, 166.323043 -22.18321, 166.326474 -22.184263, 166.328481 -22.182986, 166.328691 -22.179699, 166.326882 -22.179112, 166.32522 -22.174959, 166.317497 -22.172392, 166.315277 -22.173032, 166.314165 -22.175371, 166.31174 -22.171841, 166.306022 -22.170048, 166.307963 -22.167028, 166.321917 -22.169793, 166.325076 -22.16665, 166.320795 -22.158744, 166.325353 -22.160256, 166.330832 -22.158342, 166.332114 -22.153701, 166.333384 -22.153876, 166.333859 -22.15915, 166.337293 -22.159389, 166.337473 -22.16152, 166.341751 -22.160368, 166.345303 -22.161902, 166.347097 -22.164646, 166.348131 -22.163068, 166.351621 -22.165384, 166.357155 -22.165366, 166.35703 -22.167124, 166.359386 -22.166484, 166.359819 -22.167847, 166.359942 -22.166227, 166.361412 -22.167355, 166.360335 -22.166203, 166.363916 -22.163734, 166.363095 -22.161621, 166.360104 -22.160514, 166.362743 -22.160195, 166.362863 -22.158712, 166.362687 -22.158737, 166.362313 -22.159408, 166.361627 -22.160119, 166.361038 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-20.028085, 163.972441 -20.028046, 163.973139 -20.027808, 163.9732 -20.027712, 163.971648 -20.028014, 163.967793 -20.020757, 163.968175 -20.018461, 163.973003 -20.019669, 163.970673 -20.017942, 163.971388 -20.015258, 163.973195 -20.014604, 163.971823 -20.014606, 163.972347 -20.013611, 163.966847 -20.014684, 163.963271 -20.011094, 163.961934 -20.012596, 163.962792 -20.013616, 163.960785 -20.014452, 163.962714 -20.015956, 163.961803 -20.016176, 163.957149 -20.012857, 163.958788 -20.015297, 163.957763 -20.016266, 163.960298 -20.016921, 163.959536 -20.018962, 163.952422 -20.014947, 163.954585 -20.011602, 163.95281 -20.007478, 163.956075 -20.006817, 163.960557 -20.002819, 163.960536 -20.005921, 163.96297 -20.004935, 163.958595 -20.00807, 163.958003 -20.009353, 163.959601 -20.00953, 163.963081 -20.006989, 163.964438 -20.003559, 163.961666 -20.004735, 163.96196 -20.00278, 163.960713 -20.002589, 163.959299 -20.003496, 163.961713 -20.000879, 163.964197 -20.000357)))');\n    \"\"\")\n  end\n\n  def down do\n    execute(\"\"\"\n      UPDATE dataset\n      SET region_id = NULL\n      WHERE region_id = (SELECT id FROM region WHERE nom='Nouvelle-Calédonie')\n    \"\"\")\n\n    execute(\"\"\"\n      delete from region where nom='Nouvelle-Calédonie';\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20210630130031_add_resource_schema.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceSchema do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:schema_name, :string)\n      add(:schema_version, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20210811122529_rename-category-bike-scooter-sharing.exs",
    "content": "defmodule :\"Elixir.DB.Repo.Migrations.Rename-category-bike-scooter-sharing\" do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE dataset set type='bike-scooter-sharing' where type='bike-sharing'\")\n  end\n\n  def down do\n    execute(\"UPDATE dataset set type='bike-sharing' where type='bike-scooter-sharing'\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20211006144855_rename_category_bike_path.exs",
    "content": "defmodule DB.Repo.Migrations.RenameCategoryBikePath do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE dataset set type='bike-way' where type='bike-path'\")\n  end\n\n  def down do\n    execute(\"UPDATE dataset set type='bike-path' where type='bike-way'\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20211018122851_add_oban_jobs_table.exs",
    "content": "defmodule DB.Repo.Migrations.AddObanJobsTable do\n  use Ecto.Migration\n\n  def up do\n    # TO DO check Oban migration policy\n    Oban.Migrations.up()\n  end\n\n  # We specify `version: 1` in `down`, ensuring that we'll roll all the way back down if\n  # necessary, regardless of which version we've migrated `up` to.\n  def down do\n    Oban.Migrations.down(version: 1)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20211021094750_move_fields_to_jsonb.exs",
    "content": "defmodule DB.Repo.Migrations.MoveFieldsToJsonb do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      modify(:metadata, :jsonb)\n    end\n\n    alter table(:validations) do\n      modify(:details, :jsonb)\n      modify(:on_the_fly_validation_metadata, :jsonb)\n      modify(:data_vis, :jsonb)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20211122101004_add_metrics.exs",
    "content": "defmodule DB.Repo.Migrations.AddProxyMetrics do\n  use Ecto.Migration\n\n  def change do\n    create table(\"metrics\") do\n      add(:target, :string, null: false)\n      add(:event, :string, null: false)\n      add(:period, :timestamp, null: false)\n      add(:count, :integer, default: 0, null: false)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(index(\"metrics\", [:target, :event, :period], unique: true))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20211130094242_add_resource_history.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceHistory do\n  use Ecto.Migration\n\n  def change do\n    create table(\"resource_history\") do\n      # FIX ME\n      # We should be able to add a foreign key to resource.datagouv_id\n      # but for now datagouv_id is not unique\n      # See https://github.com/etalab/transport-site/issues/1930\n      add(:datagouv_id, :string, null: false)\n      add(:payload, :jsonb, null: false)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(index(\"resource_history\", [:datagouv_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20211209090542_add_breaking_news_table.exs",
    "content": "defmodule DB.Repo.Migrations.AddBreakingNewsTable do\n  use Ecto.Migration\n\n  def change do\n    create table(:breaking_news) do\n      add(:level, :string)\n      add(:msg, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20211209121042_migrate_gbfs_metrics.exs",
    "content": "defmodule DB.Repo.Migrations.MigrateGBFSMetrics do\n  use Ecto.Migration\n  alias Ecto.Adapters.SQL\n\n  def up do\n    # For existing GBFS metrics:\n    # - Rename internal to external\n    # - Rename external to internal\n    # - Sum internal + external -> external for same target and period\n    \"\"\"\n    update metrics set event = 'gbfs:request:old_internal' where event = 'gbfs:request:internal';\n    update metrics set event = 'gbfs:request:internal' where event = 'gbfs:request:external';\n    update metrics set event = 'gbfs:request:external' where event = 'gbfs:request:old_internal';\n\n    update metrics set count = t.sum\n    from (\n        select period, target, sum(count) sum\n        from metrics\n        where event in ('gbfs:request:external', 'gbfs:request:internal')\n        group by 1, 2\n    ) t\n    where t.period = metrics.period and t.target = metrics.target and metrics.event = 'gbfs:request:external';\n    \"\"\"\n    |> String.split(\";\")\n    |> Enum.each(fn q -> DB.Repo |> SQL.query!(q) end)\n  end\n\n  def down do\n    IO.puts(\"No going back\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20211210082242_add_resource_unavailability.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceUnavailability do\n  use Ecto.Migration\n\n  def change do\n    create table(:resource_unavailability) do\n      add(:resource_id, references(:resource, on_delete: :delete_all), null: false)\n      add(:start, :utc_datetime, null: false)\n      add(:end, :utc_datetime)\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(index(:resource_unavailability, [:resource_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20211214142804_create_conversion_table.exs",
    "content": "defmodule DB.Repo.Migrations.CreateConversionTable do\n  use Ecto.Migration\n\n  def change do\n    create table(\"data_conversion\") do\n      # FIX ME\n      # We should be able to add a foreign key to resource.datagouv_id\n      # but for now datagouv_id is not unique\n      # See https://github.com/etalab/transport-site/issues/1930\n      add(:convert_from, :string, null: false)\n      add(:convert_to, :string, null: false)\n      add(:resource_history_uuid, :uuid, null: false)\n      add(:payload, :jsonb, null: false)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(unique_index(\"data_conversion\", [:convert_from, :convert_to, :resource_history_uuid]))\n    create(constraint(\"data_conversion\", :allowed_from_formats, check: \"convert_from IN ('GTFS')\"))\n    create(constraint(\"data_conversion\", :allowed_to_formats, check: \"convert_to IN ('GeoJSON')\"))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220104092238_add_resource_history_last_up_to_date_at_field.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceHistoryLastUpToDateAtField do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource_history) do\n      add(:last_up_to_date_at, :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220118101217_allow_netex_conversion.exs",
    "content": "defmodule DB.Repo.Migrations.AllowNetexConversion do\n  use Ecto.Migration\n\n  def up do\n    drop(constraint(\"data_conversion\", :allowed_to_formats))\n    create(constraint(\"data_conversion\", :allowed_to_formats, check: \"convert_to IN ('GeoJSON', 'NeTEx')\"))\n  end\n\n  def down do\n    drop(constraint(\"data_conversion\", :allowed_to_formats))\n    create(constraint(\"data_conversion\", :allowed_to_formats, check: \"convert_to IN ('GeoJSON')\"))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220124133742_add_category_locations.exs",
    "content": "defmodule DB.Repo.Migrations.AddCategoryLocations do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE dataset set type='locations' where type in ('stops-ref', 'addresses')\")\n  end\n\n  def down do\n    IO.puts(\"no going back\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220126101800_add_title_resource_history.exs",
    "content": "defmodule DB.Repo.Migrations.AddTitleResourceHistory do\n  use Ecto.Migration\n\n  def up do\n    # Add the key `title` to the JSON payload and set it\n    # to the resource's current title\n    execute(\"\"\"\n    update resource_history\n    set payload = jsonb_set(payload, '{title}', to_jsonb(t.title))\n    from (\n      select datagouv_id, title\n      from resource\n    ) t\n    where not (resource_history.payload ? 'title')\n      and not (resource_history.payload ? 'from_old_system')\n      and t.datagouv_id = resource_history.datagouv_id\n    \"\"\")\n  end\n\n  def down do\n    # Removes the key `title` from the JSON payload\n    execute(\"update resource_history set payload = payload - 'title'\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220208143147_create_gtfs_stops_table.exs",
    "content": "defmodule DB.Repo.Migrations.CreateGtfsStopsTable do\n  use Ecto.Migration\n\n  def change do\n    create table(:data_import) do\n      add(:resource_history_id, references(:resource_history))\n    end\n\n    create table(:gtfs_stops) do\n      add(:data_import_id, references(:data_import))\n      add(:stop_id, :binary)\n      add(:stop_name, :binary)\n      add(:stop_lat, :float)\n      add(:stop_lon, :float)\n      add(:location_type, :integer)\n    end\n\n    create table(:gtfs_calendar) do\n      add(:data_import_id, references(:data_import))\n      add(:service_id, :binary)\n      add(:monday, :integer)\n      add(:tuesday, :integer)\n      add(:wednesday, :integer)\n      add(:thursday, :integer)\n      add(:friday, :integer)\n      add(:saturday, :integer)\n      add(:sunday, :integer)\n      add(:days, {:array, :integer})\n      add(:start_date, :date)\n      add(:end_date, :date)\n    end\n\n    create table(:gtfs_calendar_dates) do\n      add(:data_import_id, references(:data_import))\n      add(:service_id, :binary)\n      add(:date, :date)\n      add(:exception_type, :integer)\n    end\n\n    create table(:gtfs_trips) do\n      add(:data_import_id, references(:data_import))\n      add(:route_id, :binary)\n      add(:service_id, :binary)\n      add(:trip_id, :binary)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220210142527_add_table_gtfs_stop_times.exs",
    "content": "defmodule DB.Repo.Migrations.AddTableGtfsStopTimes do\n  use Ecto.Migration\n\n  def up do\n    create table(:gtfs_stop_times) do\n      add(:data_import_id, references(:data_import))\n      add(:trip_id, :binary)\n      add(:stop_id, :binary)\n      add(:stop_sequence, :integer)\n    end\n\n    execute(\"\"\"\n      alter table gtfs_stop_times add column arrival_time interval hour to second;\n    \"\"\")\n\n    execute(\"\"\"\n      alter table gtfs_stop_times add column departure_time interval hour to second;\n    \"\"\")\n  end\n\n  def down do\n    execute(\"drop table gtfs_stop_times;\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220214161600_migrate_old_validation_rows.exs",
    "content": "defmodule DB.Repo.Migrations.MigrateExistingOnDemandGTFSValidation do\n  use Ecto.Migration\n\n  def up do\n    execute(\"\"\"\n    update validations\n    set on_the_fly_validation_metadata = on_the_fly_validation_metadata || jsonb_build_object('state', 'completed', 'type', 'gtfs')\n    where not on_the_fly_validation_metadata ? 'state'\n    \"\"\")\n  end\n\n  def down do\n    IO.puts(\"no going back\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220225104500_drop_table_partner.exs",
    "content": "defmodule DB.Repo.Migrations.DropTablePartner do\n  use Ecto.Migration\n\n  def up do\n    drop_if_exists(table(\"partner\"))\n  end\n\n  def down do\n    IO.puts(\"no going back\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220301085100_add_timestamps_data_import.exs",
    "content": "defmodule DB.Repo.Migrations.AddTimestampsDataImport do\n  use Ecto.Migration\n\n  def change do\n    alter table(:data_import) do\n      timestamps(type: :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220321151717_remove_resource_deprecated_fields.exs",
    "content": "defmodule DB.Repo.Migrations.RemoveResourceDeprecatedFields do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      remove(:conversion_latest_content_hash, :string, default: \"\")\n      remove(:is_active, :boolean)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220322090153_rename_dataset_title_fields.exs",
    "content": "defmodule DB.Repo.Migrations.RenameDatasetTitleFields do\n  use Ecto.Migration\n\n  def change do\n    rename(table(:dataset), :title, to: :datagouv_title)\n    rename(table(:dataset), :spatial, to: :custom_title)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220322135059_update_search_conf_field_name.exs",
    "content": "defmodule DB.Repo.Migrations.UpdateSearchConfFieldName do\n  use Ecto.Migration\n\n  def up do\n    # same function as before, but spatial columns becomes custom_title\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.population_totale_2014 INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.population_totale_2014) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n    SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\", \"\")\n  end\n\n  def down do\n    # previous function definition, using \"spatial\" column\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.spatial, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.population_totale_2014 INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.population_totale_2014) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n    SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\", \"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220329113451_add_index_history_dataset_id.exs",
    "content": "defmodule DB.Repo.Migrations.AddIndexHistoryDatasetId do\n  use Ecto.Migration\n\n  @index_name \"resource_history_payload_dataset_id\"\n\n  def up do\n    # ->> operator returns text, index it as an integer\n    # as dataset_id is an integer and will be compared against\n    # integers\n    execute(\"CREATE INDEX #{@index_name} ON resource_history(cast(payload->>'dataset_id' as bigint));\")\n  end\n\n  def down do\n    execute(\"DROP INDEX #{@index_name};\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220406125936_add_geo_data.exs",
    "content": "defmodule DB.Repo.Migrations.AddGeoData do\n  use Ecto.Migration\n\n  def change do\n    create table(:geo_data_import) do\n      add(:resource_history_id, references(:resource_history))\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create table(:geo_data) do\n      add(:geom, :geometry)\n      add(:payload, :map)\n      add(:geo_data_import_id, references(:geo_data_import, on_delete: :delete_all))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220412131157_add_resource_filetype.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceFiletype do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:filetype, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220419124355_rename_category_road_network.exs",
    "content": "defmodule DB.Repo.Migrations.RenameCategoryRoadNetwork do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE dataset set type='road-data' where type='road-network'\")\n  end\n\n  def down do\n    execute(\"UPDATE dataset set type='road-network' where type='road-data'\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220429092956_set_up_multi_validation.exs",
    "content": "defmodule DB.Repo.Migrations.SetUpMultiValidation do\n  use Ecto.Migration\n\n  def change do\n    create table(:multi_validation) do\n      add(:validation_timestamp, :utc_datetime_usec, null: false)\n      add(:validator, :text, null: false)\n      add(:transport_tools_version, :text)\n      add(:command, :text)\n      add(:result, :jsonb)\n      add(:data_vis, :jsonb)\n\n      add(:resource_id, references(:resource, on_delete: :delete_all))\n      add(:resource_history_id, references(:resource_history, on_delete: :delete_all))\n      add(:validated_data_name, :text)\n\n      add(:secondary_resource_id, references(:resource, on_delete: :delete_all))\n      add(:secondary_resource_history_id, references(:resource_history, on_delete: :delete_all))\n      add(:secondary_validated_data_name, :text)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220502083641_add_metadata_table.exs",
    "content": "defmodule DB.Repo.Migrations.AddMetadataTable do\n  use Ecto.Migration\n\n  def change do\n    create table(:resource_metadata) do\n      add(:resource_id, references(:resource, on_delete: :delete_all))\n      add(:resource_history_id, references(:resource_history, on_delete: :delete_all))\n      add(:multi_validation_id, references(:multi_validation, on_delete: :delete_all))\n      add(:metadata, :jsonb)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220502130846_add_resource_type.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceType do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:type, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220505115659_add_resource_display_position.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceDisplayPosition do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:display_position, :integer)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220505121748_create_resource_history_format_index.exs",
    "content": "defmodule DB.Repo.Migrations.CreateResourceHistoryFormatIndex do\n  use Ecto.Migration\n\n  @index_name \"resource_history_payload_format\"\n\n  def up do\n    execute(\"CREATE INDEX #{@index_name} ON resource_history((payload->>'format'));\")\n  end\n\n  def down do\n    execute(\"DROP INDEX #{@index_name};\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220510124001_create_multi_validation_index.exs",
    "content": "defmodule DB.Repo.Migrations.CreateMultiValidationIndex do\n  use Ecto.Migration\n\n  def change do\n    create(index(:multi_validation, [:resource_history_id, :validator]))\n    create(index(:resource_metadata, [:multi_validation_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220523132328_add_resource_history_resource_id.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceHistoryResourceId do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource_history) do\n      add(:resource_id, references(:resource))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220525084346_add_multi_validation_args.exs",
    "content": "defmodule DB.Repo.Migrations.AddMultiValidationArgs do\n  use Ecto.Migration\n\n  def change do\n    alter table(:multi_validation) do\n      add(:oban_args, :jsonb)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220531123506_modify_resource_history_constraint.exs",
    "content": "defmodule DB.Repo.Migrations.ModifyResourceHistoryConstraint do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource_history) do\n      modify(:resource_id, references(:resource, on_delete: :nilify_all),\n        from: references(:resource, on_delete: :nothing)\n      )\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220601135310_change-multi-validation-field-name.exs",
    "content": "defmodule :\"Elixir.DB.Repo.Migrations.Change_multi_validation_field_name\" do\n  use Ecto.Migration\n\n  def change do\n    rename(table(:multi_validation), :transport_tools_version, to: :validator_version)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220615090656_add_index_resource_history_resource_id.exs",
    "content": "defmodule DB.Repo.Migrations.AddIndexResourceHistoryResourceId do\n  use Ecto.Migration\n\n  def change do\n    create(index(:resource_history, [:resource_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220615123711_add_max_error_field.exs",
    "content": "defmodule DB.Repo.Migrations.AddMaxErrorField do\n  use Ecto.Migration\n\n  def change do\n    alter table(:multi_validation) do\n      add(:max_error, :text)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220922134600_fix_region_data.exs",
    "content": "defmodule DB.Repo.Migrations.FixRegionData do\n  use Ecto.Migration\n\n  def change do\n    execute(\"UPDATE region SET insee = '06' where nom = 'Mayotte';\")\n    execute(\"UPDATE region SET insee = '988' where nom = 'Nouvelle-Calédonie';\")\n\n    create(unique_index(:region, [:insee]))\n    create(unique_index(:region, [:nom]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220923080044_add_table_departement.exs",
    "content": "defmodule DB.Repo.Migrations.AddTableDepartement do\n  use Ecto.Migration\n\n  def change do\n    execute(\"delete from commune where insee in (select insee from commune group by insee having count(1) > 1);\")\n    drop(index(:commune, [:insee]))\n    create(unique_index(:commune, [:insee]))\n\n    create table(:departement) do\n      add(:insee, :string, null: false)\n      add(:region_insee, references(:region, column: :insee, type: :string))\n      add(:chef_lieu, references(:commune, column: :insee, type: :string, on_delete: :delete_all))\n      add(:nom, :string, null: false)\n      add(:zone, :string, null: false)\n      add(:geom, :geometry, null: false)\n    end\n\n    create(index(:departement, [:region_insee]))\n    create(index(:departement, [:zone]))\n    create(unique_index(:departement, [:insee]))\n    create(unique_index(:departement, [:nom]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220923080526_add_columns_communes.exs",
    "content": "defmodule DB.Repo.Migrations.AddColumnsCommunes do\n  use Ecto.Migration\n\n  def change do\n    alter table(:commune) do\n      add(:siren, :string)\n      add(:population, :integer)\n      add(:arrondissement_insee, :string)\n      add(:departement_insee, references(:departement, column: :insee, type: :string))\n      remove(:wikipedia)\n    end\n\n    create(index(:commune, [:departement_insee]))\n    create(unique_index(:commune, [:siren]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220929073801_fix_geometries.exs",
    "content": "defmodule DB.Repo.Migrations.FixGeometries do\n  use Ecto.Migration\n\n  def change do\n    # See https://github.com/etalab/contours-administratifs/issues/27\n    for table <- ~w(commune region departement) do\n      execute(\"update #{table} set geom = ST_MakeValid(geom) where not st_isvalid(geom);\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20220930122054_add_metadata_modes_features.exs",
    "content": "defmodule DB.Repo.Migrations.AddMetadataModesFeatures do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource_metadata) do\n      add(:features, {:array, :string}, default: [])\n      add(:modes, {:array, :string}, default: [])\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221004125601_set_noumea_siren.exs",
    "content": "defmodule DB.Repo.Migrations.SetNoumeaSiren do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE commune SET siren = '200012508' WHERE nom = 'Nouméa';\")\n  end\n\n  def down do\n    execute(\"UPDATE commune SET siren = null WHERE nom = 'Nouméa';\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221004135750_enable_trigger_refresh_places_commune_trigger.exs",
    "content": "defmodule DB.Repo.Migrations.EnableTriggerRefreshPlacesCommuneTrigger do\n  use Ecto.Migration\n\n  def change do\n    execute(\"ALTER TABLE commune ENABLE TRIGGER refresh_places_commune_trigger;\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221004151551_add_modes_features_index.exs",
    "content": "defmodule DB.Repo.Migrations.AddModesFeaturesIndex do\n  use Ecto.Migration\n\n  def features_index, do: \"resource_metadata_features_idx\"\n  def modes_index, do: \"resource_metadata_modes_idx\"\n\n  def up do\n    execute(\"create index #{features_index()} on resource_metadata using GIN (features)\")\n    execute(\"create index #{modes_index()} on resource_metadata using GIN (modes)\")\n  end\n\n  def down do\n    execute(\"drop index #{features_index()}\")\n    execute(\"drop index #{modes_index()}\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221005125656_update_modes_features_places.exs",
    "content": "defmodule DB.Repo.Migrations.UpdateModesFeaturesPlaces do\n  use Ecto.Migration\n\n  def up do\n    # we drop the old 'places' view, before recreating it\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_region_trigger ON region;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_aom_trigger ON aom;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_commune_trigger ON commune;\")\n    execute(\"DROP FUNCTION refresh_places;\")\n    execute(\"DROP MATERIALIZED VIEW places;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW places AS\n    SELECT nom, place_id, type, indexed_name\n    FROM\n    (\n        (\n          SELECT\n          c.nom AS nom,\n          c.insee AS place_id,\n          'commune' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM commune c\n        )\n        UNION\n        (\n          SELECT\n          r.nom AS nom,\n          CAST(r.id AS varchar) AS place_id,\n          'region' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM region r\n        )\n        UNION\n        (\n          SELECT a.nom AS nom,\n          CAST(a.id AS varchar) AS place_id,\n          'aom' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM aom a\n        )\n        UNION\n        (\n          SELECT features AS nom,\n          features AS place_id,\n          'feature' AS type,\n          unaccent(replace(features, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(features)) as features FROM resource_metadata\n          ) as features\n        )\n        UNION\n        (\n          SELECT modes AS nom,\n          modes AS place_id,\n          'mode' AS type,\n          unaccent(replace(modes, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(modes)) as modes FROM resource_metadata\n          ) as modes\n        )\n    ) AS place\n    WITH DATA\n    \"\"\")\n\n    execute(\"CREATE INDEX indexed_name_index ON places USING GIN(indexed_name gin_trgm_ops);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_places()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW places;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger for region, aom and commune update\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_region_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON region\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_aom_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON aom\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_commune_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON commune\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n  end\n\n  def down do\n    # we drop the old 'places' view, before recreating it\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_region_trigger ON region;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_aom_trigger ON aom;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_commune_trigger ON commune;\")\n    execute(\"DROP FUNCTION refresh_places;\")\n    execute(\"DROP MATERIALIZED VIEW places;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW places AS\n    SELECT nom, place_id, type, indexed_name\n    FROM\n    (\n        (\n          SELECT\n          c.nom AS nom,\n          c.insee AS place_id,\n          'commune' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM commune c\n        )\n        UNION\n        (\n          SELECT\n          r.nom AS nom,\n          CAST(r.id AS varchar) AS place_id,\n          'region' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM region r\n        )\n        UNION\n        (\n          SELECT a.nom AS nom,\n          CAST(a.id AS varchar) AS place_id,\n          'aom' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM aom a\n        )\n        UNION\n        (\n          SELECT features AS nom,\n          features AS place_id,\n          'feature' AS type,\n          unaccent(replace(features, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(features)) as features FROM resource\n          ) as features\n        )\n        UNION\n        (\n          SELECT modes AS nom,\n          modes AS place_id,\n          'mode' AS type,\n          unaccent(replace(modes, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(modes)) as modes FROM resource\n          ) as modes\n        )\n    ) AS place\n    WITH DATA\n    \"\"\")\n\n    execute(\"CREATE INDEX indexed_name_index ON places USING GIN(indexed_name gin_trgm_ops);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_places()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW places;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger for region, aom and commune update\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_region_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON region\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_aom_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON aom\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_commune_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON commune\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_resources_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON resource\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221010144415_rename_population_cols_aom.exs",
    "content": "defmodule DB.Repo.Migrations.RenamePopulationColsAom do\n  use Ecto.Migration\n\n  def up do\n    rename(table(:aom), :population_muni_2014, to: :population_municipale)\n    rename(table(:aom), :population_totale_2014, to: :population_totale)\n\n    # same function as before, but use new column names for `population_totale`\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.population_totale INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.population_totale) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n    SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\", \"\")\n  end\n\n  def down do\n    rename(table(:aom), :population_municipale, to: :population_muni_2014)\n    rename(table(:aom), :population_totale, to: :population_totale_2014)\n\n    # same function as before, but spatial columns becomes custom_title\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.population_totale_2014 INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.population_totale_2014) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n    SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\", \"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221031094523_dataset_add_timestamps.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetAddTimestamps do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      timestamps(type: :utc_datetime_usec, null: true)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221110101806_rename_mobility_license.exs",
    "content": "defmodule DB.Repo.Migrations.RenameMobilityLicense do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE dataset SET licence = 'mobility-licence' WHERE licence = 'mobility-license'\")\n  end\n\n  def down do\n    execute(\"UPDATE dataset SET licence = 'mobility-license' WHERE licence = 'mobility-licence'\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221129131631_dataset_add_archived_at_field.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetAddArchivedAtField do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:archived_at, :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221201165336_create_dataset_history.exs",
    "content": "defmodule DB.Repo.Migrations.CreateDatasetHistory do\n  use Ecto.Migration\n\n  def change do\n    create table(:dataset_history) do\n      add(:dataset_id, references(:dataset, on_delete: :nothing))\n      add(:dataset_datagouv_id, :text)\n      add(:payload, :jsonb)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create_if_not_exists(index(:dataset_history, [:dataset_id]))\n\n    create table(:dataset_history_resources) do\n      add(:dataset_history_id, references(:dataset_history))\n      add(:resource_id, references(:resource, on_delete: :nothing))\n      add(:resource_history_id, references(:resource_history, on_delete: :nothing))\n      add(:resource_history_last_up_to_date_at, :utc_datetime_usec)\n      add(:resource_metadata_id, references(:resource_metadata, on_delete: :nothing))\n      add(:validation_id, references(:multi_validation, on_delete: :nothing))\n      add(:payload, :jsonb)\n    end\n\n    create_if_not_exists(index(:dataset_history_resources, [:dataset_history_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221206132945_on_delete_nilify.exs",
    "content": "defmodule DB.Repo.Migrations.OnDeleteNilify do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset_history) do\n      modify(:dataset_id, references(:dataset, on_delete: :nilify_all), from: references(:dataset, on_delete: :nothing))\n    end\n\n    alter table(:dataset_history_resources) do\n      modify(:resource_id, references(:resource, on_delete: :nilify_all),\n        from: references(:resource, on_delete: :nothing)\n      )\n\n      modify(:resource_history_id, references(:resource_history, on_delete: :nilify_all),\n        from: references(:resource_history, on_delete: :nothing)\n      )\n\n      modify(:resource_metadata_id, references(:resource_metadata, on_delete: :nilify_all),\n        from: references(:resource_metadata, on_delete: :nothing)\n      )\n\n      modify(:validation_id, references(:multi_validation, on_delete: :nilify_all),\n        from: references(:multi_validation, on_delete: :nothing)\n      )\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221206135302_data_import_delete.exs",
    "content": "defmodule DB.Repo.Migrations.DataImportDelete do\n  use Ecto.Migration\n\n  @gtfs_tables [\n    \"gtfs_stops\",\n    \"gtfs_stop_times\",\n    \"gtfs_trips\",\n    \"gtfs_calendar\",\n    \"gtfs_calendar_dates\"\n  ]\n\n  def up do\n    @gtfs_tables\n    |> Enum.each(fn tbl ->\n      alter table(tbl) do\n        modify(\n          :data_import_id,\n          references(:data_import, on_delete: :delete_all),\n          from: references(:data_import, on_delete: :nothing)\n        )\n      end\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221208083708_add_indexes_resource.exs",
    "content": "defmodule DB.Repo.Migrations.AddIndexesResource do\n  use Ecto.Migration\n\n  def change do\n    create_if_not_exists(index(:resource_history, [:resource_id]))\n    create_if_not_exists(index(:multi_validation, [:resource_id]))\n    create_if_not_exists(index(:resource_metadata, [:resource_id]))\n    create_if_not_exists(index(:resource, [:dataset_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221228090455_create_oban_peers.exs",
    "content": "defmodule DB.Repo.Migrations.CreateObanPeers do\n  # https://hexdocs.pm/oban/2.12.1/v2-11.html\n  use Ecto.Migration\n\n  def up, do: Oban.Migrations.up(version: 11)\n\n  def down, do: Oban.Migrations.down(version: 11)\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221228090553_swap_primary_oban_indexes.exs",
    "content": "defmodule DB.Repo.Migrations.SwapPrimaryObanIndexes do\n  # https://hexdocs.pm/oban/2.12.1/v2-11.html\n  use Ecto.Migration\n  @disable_ddl_transaction true\n  @disable_migration_lock true\n\n  def change do\n    create_if_not_exists(\n      index(\n        :oban_jobs,\n        [:state, :queue, :priority, :scheduled_at, :id],\n        concurrently: true,\n        prefix: \"public\"\n      )\n    )\n\n    drop_if_exists(\n      index(\n        :oban_jobs,\n        [:queue, :state, :priority, :scheduled_at, :id],\n        concurrently: true,\n        prefix: \"public\"\n      )\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20221228142229_remove_resource_start_end_date.exs",
    "content": "defmodule DB.Repo.Migrations.RemoveResourceStartEndDate do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      remove(:start_date, :date)\n      remove(:end_date, :date)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230103165252_validation_v1_shutdown.exs",
    "content": "defmodule DB.Repo.Migrations.ValidationV1Shutdown do\n  use Ecto.Migration\n\n  def up do\n    drop(table(:logs_validation))\n    drop(table(:validations))\n\n    alter table(:resource) do\n      remove(:metadata)\n      remove(:content_hash)\n      remove(:modes)\n      remove(:features)\n    end\n  end\n\n  def down do\n    create table(:logs_validation) do\n      add(:resource_id, references(:resource))\n      add(:timestamp, :utc_datetime)\n      add(:is_success, :boolean)\n      add(:error_msg, :text)\n      add(:skipped, :boolean, default: false)\n      add(:skipped_reason, :string)\n    end\n\n    create table(:validations) do\n      add(:details, :jsonb)\n      add(:date, :string)\n      add(:resource_id, references(:resource, on_delete: :delete_all))\n      add(:max_error, :string)\n      add(:validation_latest_content_hash, :string)\n      add(:on_the_fly_validation_metadata, :jsonb)\n      add(:data_vis, :jsonb)\n    end\n\n    alter table(:resource) do\n      add(:metadata, :jsonb)\n      add(:content_hash, :string)\n      add(:modes, {:array, :string}, default: [])\n      add(:features, {:array, :string}, default: [])\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230110074451_create_data_import_batch.exs",
    "content": "defmodule DB.Repo.Migrations.CreateDataImportBatch do\n  use Ecto.Migration\n\n  def change do\n    create table(\"data_import_batch\") do\n      add(:summary, :map, default: %{})\n      timestamps(type: :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230111115335_add_index_dataset_history_slug.exs",
    "content": "defmodule DB.Repo.Migrations.AddIndexDatasetHistorySlug do\n  use Ecto.Migration\n\n  @index_name \"dataset_history_payload_slug\"\n\n  def up do\n    execute(\"CREATE INDEX #{@index_name} ON dataset_history((payload->>'slug'));\")\n  end\n\n  def down do\n    execute(\"DROP INDEX #{@index_name};\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230112132326_add_notifications.exs",
    "content": "defmodule DB.Repo.Migrations.AddNotifications do\n  use Ecto.Migration\n\n  def change do\n    create table(:notifications) do\n      add(:reason, :string, null: false)\n      add(:dataset_id, references(:dataset, on_delete: :nothing))\n      add(:email, :binary, null: false)\n      # Will be used for searching\n      # https://hexdocs.pm/cloak_ecto/install.html#create-your-schema\n      add(:email_hash, :binary, null: false)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(index(:notifications, [:dataset_id]))\n    create(index(:notifications, [:email_hash]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230120093740_dataset_add_unique_datagouv_id.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetAddUniqueDatagouvId do\n  use Ecto.Migration\n\n  def change do\n    create_if_not_exists(unique_index(:dataset, [:datagouv_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230124110826_notifications_change_dataset_on_delete_behavior.exs",
    "content": "defmodule DB.Repo.Migrations.NotificationsChangeDatasetOnDeleteBehavior do\n  use Ecto.Migration\n\n  def up do\n    drop(constraint(:notifications, \"notifications_dataset_id_fkey\"))\n\n    alter table(:notifications) do\n      modify(:dataset_id, references(:dataset, on_delete: :nilify_all))\n    end\n  end\n\n  def down do\n    drop(constraint(:notifications, \"notifications_dataset_id_fkey\"))\n\n    alter table(:notifications) do\n      modify(:dataset_id, references(:dataset))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230124131704_dataset_tags.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetTags do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:custom_tags, {:array, :string})\n    end\n\n    create(index(\"dataset\", [:custom_tags], using: :gin))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230125145703_notifications_add_dataset_datagouv_id.exs",
    "content": "defmodule DB.Repo.Migrations.NotificationsAddDatasetDatagouvId do\n  use Ecto.Migration\n\n  def change do\n    alter table(:notifications) do\n      add(:dataset_datagouv_id, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230202090645_add_dataset_organization_type.exs",
    "content": "defmodule DB.Repo.Migrations.AddDatasetOrganizationType do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:organization_type, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230206131831_add_contacts.exs",
    "content": "defmodule DB.Repo.Migrations.AddContacts do\n  use Ecto.Migration\n\n  def change do\n    create table(:contact) do\n      add(:first_name, :string, null: false)\n      add(:last_name, :string, null: false)\n      add(:organization, :string, null: false)\n      add(:job_title, :string, null: true)\n      add(:email, :binary, null: false)\n      # Will be used for searching\n      # https://hexdocs.pm/cloak_ecto/install.html#create-your-schema\n      add(:email_hash, :binary, null: false)\n      add(:phone_number, :binary, null: true)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(unique_index(:contact, [:email_hash], name: :contact_email_hash_index))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230220102200_add_notification_subscription.exs",
    "content": "defmodule DB.Repo.Migrations.AddNotificationSubscription do\n  use Ecto.Migration\n\n  def change do\n    create table(:notification_subscription) do\n      add(:contact_id, references(:contact, on_delete: :delete_all), null: false)\n      add(:dataset_id, references(:dataset, on_delete: :delete_all), null: true)\n      add(:reason, :string, null: false)\n      add(:source, :string, null: false)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(index(:notification_subscription, [:contact_id]))\n    create(index(:notification_subscription, [:dataset_id]))\n\n    create(\n      unique_index(\n        :notification_subscription,\n        [:contact_id, :dataset_id, :reason],\n        name: :notification_subscription_contact_id_dataset_id_reason_index\n      )\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230302084455_add_dataset_legal_owner.exs",
    "content": "defmodule DB.Repo.Migrations.AddDatasetLegalOwner do\n  use Ecto.Migration\n\n  def change do\n    create table(:dataset_aom_legal_owner, primary_key: false) do\n      add(:dataset_id, references(:dataset, on_delete: :delete_all), null: false)\n      add(:aom_id, references(:aom, on_delete: :delete_all), null: false)\n    end\n\n    create(index(\"dataset_aom_legal_owner\", [:dataset_id]))\n    create(index(\"dataset_aom_legal_owner\", [:aom_id]))\n\n    create table(:dataset_region_legal_owner, primary_key: false) do\n      add(:dataset_id, references(:dataset, on_delete: :delete_all), null: false)\n      add(:region_id, references(:region, on_delete: :delete_all), null: false)\n    end\n\n    create(index(\"dataset_region_legal_owner\", [:dataset_id]))\n    create(index(\"dataset_region_legal_owner\", [:region_id]))\n\n    alter table(:dataset) do\n      add(:legal_owner_company_siren, :integer)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230308085359_add_indexes_dataset_history_resources.exs",
    "content": "defmodule DB.Repo.Migrations.AddIndexesDatasetHistoryResources do\n  use Ecto.Migration\n\n  def change do\n    create_if_not_exists(index(:dataset_history_resources, [:resource_id]))\n    create_if_not_exists(index(:dataset_history_resources, [:resource_history_id]))\n    create_if_not_exists(index(:dataset_history_resources, [:resource_metadata_id]))\n    create_if_not_exists(index(:dataset_history_resources, [:validation_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230309102424_add_mailing_list_title_contact.exs",
    "content": "defmodule DB.Repo.Migrations.AddMailingListTitleContact do\n  use Ecto.Migration\n\n  def change do\n    alter table(:contact) do\n      # `first_name` and `last_name` can now be `null`\n      modify(:first_name, :string, null: true, from: {:string, null: false})\n      modify(:last_name, :string, null: true, from: {:string, null: false})\n      # add new `column` for contacts that are not \"real humans\", for example mailing lists\n      add(:mailing_list_title, :string, null: true)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230322080214_dataset_change_types_date_cols.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetChangeTypesDateCols do\n  use Ecto.Migration\n\n  def up do\n    execute(\"ALTER TABLE dataset ALTER COLUMN created_at TYPE timestamp without time zone USING created_at::timestamp;\")\n\n    execute(\n      \"ALTER TABLE dataset ALTER COLUMN last_update TYPE timestamp without time zone USING last_update::timestamp;\"\n    )\n\n    execute(\"ALTER TABLE dataset ALTER COLUMN created_at SET NOT NULL;\")\n    execute(\"ALTER TABLE dataset ALTER COLUMN last_update SET NOT NULL;\")\n  end\n\n  def down do\n    execute(\"ALTER TABLE dataset ALTER COLUMN created_at TYPE varchar USING created_at::date;\")\n    execute(\"ALTER TABLE dataset ALTER COLUMN last_update TYPE varchar USING last_update::date;\")\n    execute(\"ALTER TABLE dataset ALTER COLUMN created_at DROP NOT NULL;\")\n    execute(\"ALTER TABLE dataset ALTER COLUMN last_update DROP NOT NULL;\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230327135824_correct_dataset_population_update.exs",
    "content": "defmodule DB.Repo.Migrations.CorrectDatasetPopulationUpdate do\n  use Ecto.Migration\n\n  def up do\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.population_totale INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.population_totale) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    NEW.population = population;\n\n    ELSE\n    SELECT coalesce(sum(c.population),0) INTO population FROM dataset_communes dc\n    LEFT JOIN commune c ON c.id = dc.commune_id WHERE dc.dataset_id = NEW.id;\n\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n    SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"\"\"\n      CREATE OR REPLACE FUNCTION dataset_communes_update() RETURNS trigger as $$\n      BEGIN\n\n      IF NEW.dataset_id IS NOT NULL THEN\n        UPDATE dataset SET id = id WHERE id = NEW.dataset_id;\n      END IF;\n\n      RETURN NEW;\n      END\n      $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER dataset_communes_update\n    AFTER INSERT OR UPDATE ON dataset_communes\n    FOR EACH ROW\n    EXECUTE PROCEDURE dataset_communes_update();\n    \"\"\")\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\")\n  end\n\n  def down do\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.population_totale INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.population_totale) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n    SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"DROP TRIGGER IF EXISTS dataset_communes_update ON dataset_communes;\")\n    execute(\"DROP FUNCTION IF EXISTS dataset_communes_update;\")\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230329071947_resource_change_types_datetime_cols.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceChangeTypesDateTimeCols do\n  use Ecto.Migration\n\n  def up do\n    execute(\n      \"ALTER TABLE resource ALTER COLUMN last_import TYPE timestamp without time zone USING last_import::timestamp;\"\n    )\n\n    execute(\n      \"ALTER TABLE resource ALTER COLUMN last_update TYPE timestamp without time zone USING last_update::timestamp;\"\n    )\n\n    execute(\"ALTER TABLE resource ALTER COLUMN last_import SET NOT NULL;\")\n    execute(\"ALTER TABLE resource ALTER COLUMN last_update SET NOT NULL;\")\n  end\n\n  def down do\n    execute(\"ALTER TABLE resource ALTER COLUMN last_import TYPE varchar USING last_import::varchar;\")\n    execute(\"ALTER TABLE resource ALTER COLUMN last_update TYPE varchar USING last_update::varchar;\")\n    execute(\"ALTER TABLE resource ALTER COLUMN last_import DROP NOT NULL;\")\n    execute(\"ALTER TABLE resource ALTER COLUMN last_update DROP NOT NULL;\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230404074406_add_resource_related.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceRelated do\n  use Ecto.Migration\n\n  def change do\n    create table(:resource_related, primary_key: false) do\n      add(:resource_src_id, references(:resource, on_delete: :nothing), null: false)\n      add(:resource_dst_id, references(:resource, on_delete: :nothing), null: false)\n      add(:reason, :string, null: false)\n    end\n\n    create(index(:resource_related, [:resource_src_id]))\n    create(index(:resource_related, [:reason]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230412080437_contact_add_secondary_phone_number.exs",
    "content": "defmodule DB.Repo.Migrations.ContactAddSecondaryPhoneNumber do\n  use Ecto.Migration\n\n  def change do\n    alter table(:contact) do\n      add(:secondary_phone_number, :binary, null: true)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230420134229_notification_subscription_rename_licence_ouverte_reason.exs",
    "content": "defmodule DB.Repo.Migrations.NotificationSubscriptionRenameLicenceOuverteReason do\n  use Ecto.Migration\n\n  def change do\n    up_migration =\n      \"UPDATE notification_subscription SET reason = 'datasets_switching_licences' WHERE reason = 'dataset_now_licence_ouverte'\"\n\n    down_migration =\n      \"UPDATE notification_subscription SET reason = 'dataset_now_licence_ouverte' WHERE reason = 'datasets_switching_licences'\"\n\n    execute(up_migration, down_migration)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230427083218_contact_add_datagouv_user_id_last_login_at.exs",
    "content": "defmodule DB.Repo.Migrations.ContactAddDatagouvUserIdAndLastLoginAt do\n  use Ecto.Migration\n\n  def change do\n    alter table(:contact) do\n      add(:datagouv_user_id, :string, null: true)\n      add(:last_login_at, :utc_datetime_usec, null: true)\n    end\n\n    create_if_not_exists(unique_index(:contact, [:datagouv_user_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230524122950_notification_subscription_rename_switching_licences_reason.exs",
    "content": "defmodule DB.Repo.Migrations.NotificationSubscriptionRenameSwitchingLicencesReason do\n  use Ecto.Migration\n\n  def change do\n    up_migration =\n      \"UPDATE notification_subscription SET reason = 'datasets_switching_climate_resilience_bill' WHERE reason = 'datasets_switching_licences'\"\n\n    down_migration =\n      \"UPDATE notification_subscription SET reason = 'datasets_switching_licences' WHERE reason = 'datasets_switching_climate_resilience_bill'\"\n\n    execute(up_migration, down_migration)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230525152222_create_table_dataset_score.exs",
    "content": "defmodule DB.Repo.Migrations.CreateTableDatasetScore do\n  use Ecto.Migration\n\n  def change do\n    create table(:dataset_score) do\n      add(:dataset_id, references(:dataset, on_delete: :delete_all))\n      add(:topic, :string)\n      add(:score, :float)\n      add(:timestamp, :utc_datetime_usec)\n      add(:details, :jsonb)\n    end\n\n    create(index(\"dataset_score\", [:dataset_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230609122110_dataset_add_organization_id.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetAddOrganizationId do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:organization_id, :string, null: true)\n    end\n\n    create_if_not_exists(index(:dataset, [:organization_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230623121709_aom_remove_parent_dataset_id.exs",
    "content": "defmodule DB.Repo.Migrations.AomRemoveParentDatasetId do\n  use Ecto.Migration\n\n  def up do\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.population_totale INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.population_totale) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    NEW.population = population;\n\n    ELSE\n    SELECT coalesce(sum(c.population),0) INTO population FROM dataset_communes dc\n    LEFT JOIN commune c ON c.id = dc.commune_id WHERE dc.dataset_id = NEW.id;\n\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (\n      select dataset_id\n      from dataset_aom_legal_owner\n      where dataset_id = NEW.id\n      group by dataset_id\n      having count(aom_id) >= 2\n    ) THEN\n    SELECT string_agg(a.nom, ' ') INTO nom\n    from aom a\n    left join dataset_aom_legal_owner d on d.aom_id = a.id\n    where d.dataset_id = NEW.id OR a.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_communes_update() RETURNS trigger as $$\n    BEGIN\n\n    IF NEW.dataset_id IS NOT NULL THEN\n    UPDATE dataset SET id = id WHERE id = NEW.dataset_id;\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE OR REPLACE TRIGGER dataset_communes_update\n    AFTER INSERT OR UPDATE ON dataset_communes\n    FOR EACH ROW\n    EXECUTE PROCEDURE dataset_communes_update();\n    \"\"\")\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\")\n\n    alter table(:aom) do\n      remove(:parent_dataset_id)\n    end\n  end\n\n  def down do\n    alter table(:aom) do\n      add(:parent_dataset_id, references(\"dataset\"))\n    end\n\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.population_totale INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.population_totale) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    NEW.population = population;\n\n    ELSE\n    SELECT coalesce(sum(c.population),0) INTO population FROM dataset_communes dc\n    LEFT JOIN commune c ON c.id = dc.commune_id WHERE dc.dataset_id = NEW.id;\n\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (SELECT 1 FROM aom WHERE parent_dataset_id = NEW.id) THEN\n    SELECT string_agg(aom.nom, ' ') INTO nom FROM aom WHERE parent_dataset_id = NEW.id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_communes_update() RETURNS trigger as $$\n    BEGIN\n\n    IF NEW.dataset_id IS NOT NULL THEN\n    UPDATE dataset SET id = id WHERE id = NEW.dataset_id;\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE OR REPLACE TRIGGER dataset_communes_update\n    AFTER INSERT OR UPDATE ON dataset_communes\n    FOR EACH ROW\n    EXECUTE PROCEDURE dataset_communes_update();\n    \"\"\")\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230626130232_notification_subscription_add_role.exs",
    "content": "defmodule DB.Repo.Migrations.NotificationSubscriptionAddRole do\n  use Ecto.Migration\n\n  def up do\n    alter table(:notification_subscription) do\n      add(:role, :string, null: true)\n    end\n\n    execute(\"update notification_subscription set role = 'producer'\")\n\n    alter table(:notification_subscription) do\n      modify(:role, :varchar, null: false, from: :varchar)\n    end\n  end\n\n  def down do\n    alter table(:notification_subscription) do\n      remove(:role)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230630074914_add_organization.exs",
    "content": "defmodule DB.Repo.Migrations.AddOrganization do\n  use Ecto.Migration\n\n  def change do\n    create table(:organization, primary_key: false) do\n      add(:id, :string, primary_key: true)\n      add(:slug, :string)\n      add(:name, :string)\n      add(:acronym, :string)\n      add(:logo, :string)\n      add(:logo_thumbnail, :string)\n      add(:badges, {:array, :map})\n      add(:metrics, :map)\n      add(:created_at, :utc_datetime_usec)\n    end\n\n    create(unique_index(:organization, [:slug]))\n\n    create table(:contacts_organizations, primary_key: false) do\n      add(:contact_id, references(:contact, on_delete: :delete_all), null: false)\n      add(:organization_id, references(:organization, type: :string, on_delete: :delete_all), null: false)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230719123439_dataset_score_topic_index.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetScoreTopicIndex do\n  use Ecto.Migration\n\n  def change do\n    create_if_not_exists(index(:dataset_score, [:topic]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230719124102_dataset_legal_owner_company_siren_type.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetLegalOwnerCompanySirenType do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      modify(:legal_owner_company_siren, :string, size: 9, from: :integer)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230828142610_aom_trim_departement.exs",
    "content": "defmodule DB.Repo.Migrations.AomTrimDepartement do\n  use Ecto.Migration\n\n  def up do\n    execute(\"update aom set departement = trim(departement)\")\n  end\n\n  def down do\n    IO.puts(\"No going back\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230913130308_metrics_gbfs_target_name.exs",
    "content": "defmodule DB.Repo.Migrations.MetricsGBFSTargetName do\n  use Ecto.Migration\n\n  def up do\n    # See https://github.com/etalab/transport-site/issues/3458\n    execute(\"delete from metrics where target like 'gbfs:%/'\")\n  end\n\n  def down do\n    IO.puts(\"no going back\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20230925124412_gbfs_metrics_remove_404_rows.exs",
    "content": "defmodule DB.Repo.Migrations.GbfsMetricsRemove404Rows do\n  use Ecto.Migration\n\n  def up do\n    # See https://github.com/etalab/transport-site/issues/3483\n    execute(\"\"\"\n    delete from metrics\n    where period >= '2023-09-15'::date and target in (\n      'gbfs:city_name_lowercase', 'gbfs:foo',\n      'gbfs:valence', 'gbfs:montpellier', 'gbfs:rouen', 'gbfs:marseille', 'gbfs:strasbourg'\n    )\n    \"\"\")\n  end\n\n  def down do\n    IO.puts(\"no going back\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20231019121309_data_conversion_add_columns.exs",
    "content": "defmodule DB.Repo.Migrations.DataConversionAddColumns do\n  use Ecto.Migration\n\n  def up do\n    alter table(\"data_conversion\") do\n      add(:status, :string)\n      add(:converter, :string)\n      add(:converter_version, :string)\n    end\n\n    drop(unique_index(\"data_conversion\", [:convert_from, :convert_to, :resource_history_uuid]))\n\n    execute(\"update data_conversion set status = 'success'\")\n    # https://github.com/etalab/transport-tools/blob/278f66679537981176f414de8027a86b1b0808ba/Dockerfile#L38\n    execute(\n      \"update data_conversion set converter = 'hove/transit_model', converter_version = '0.55.0' where convert_to = 'NeTEx' and convert_from = 'GTFS'\"\n    )\n\n    # https://github.com/etalab/transport-tools/blob/278f66679537981176f414de8027a86b1b0808ba/Dockerfile#L8\n    execute(\n      \"update data_conversion set converter = 'rust-transit/gtfs-to-geojson', converter_version = '0.3.1' where convert_to = 'GeoJSON' and convert_from = 'GTFS'\"\n    )\n\n    alter table(\"data_conversion\") do\n      modify(:status, :varchar, null: false, from: {:string, null: true})\n      modify(:converter, :varchar, null: false, from: {:string, null: true})\n      modify(:converter_version, :varchar, null: false, from: {:string, null: true})\n    end\n\n    create(index(\"data_conversion\", [:convert_from, :convert_to, :converter]))\n    create(unique_index(\"data_conversion\", [:convert_from, :convert_to, :converter, :resource_history_uuid]))\n  end\n\n  def down do\n    alter table(\"data_conversion\") do\n      drop(:status)\n      drop(:converter)\n      drop(:converter_version)\n    end\n\n    create(unique_index(\"data_conversion\", [:convert_from, :convert_to, :resource_history_uuid]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20231110140739_remove_columns_from_aom.exs",
    "content": "defmodule DB.Repo.Migrations.RemoveColumnsFromAOM do\n  use Ecto.Migration\n\n  def change do\n    execute(\"UPDATE aom SET departement = '0' || departement WHERE length(departement) = 1;\", \"\")\n    execute(\"UPDATE aom SET departement = '988' WHERE departement = '98';\", \"\")\n    rename(table(:aom), :population_totale, to: :population)\n\n    alter table(:aom) do\n      # CEREMA only provides one population column now\n      remove(:population_municipale, :integer)\n      # This column was empty in database\n      remove(:commentaire, :string)\n      # This column was empty in database, now we use the region relation\n      remove(:region_name, :string)\n      modify(:departement, references(:departement, column: :insee, type: :string), from: :string)\n    end\n\n    execute(&execute_up/0, &execute_down/0)\n\n    # Force update\n    execute(\"UPDATE dataset SET id = id\", \"\")\n  end\n\n  defp execute_up do\n    repo().query!(sql_dataset_update_function(\"population\"), [], log: :info)\n  end\n\n  def execute_down do\n    repo().query!(sql_dataset_update_function(\"population_totale\"), [], log: :info)\n  end\n\n  def sql_dataset_update_function(aom_population_attribute) do\n    \"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    population dataset.population%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom, aom.#{aom_population_attribute} INTO nom, region_nom, population\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n    NEW.population = population;\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom, SUM(aom.#{aom_population_attribute}) INTO nom, population\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    NEW.population = population;\n\n    ELSE\n    SELECT coalesce(sum(c.population),0) INTO population FROM dataset_communes dc\n    LEFT JOIN commune c ON c.id = dc.commune_id WHERE dc.dataset_id = NEW.id;\n\n    NEW.population = population;\n    END IF;\n\n    IF EXISTS (\n      select dataset_id\n      from dataset_aom_legal_owner\n      where dataset_id = NEW.id\n      group by dataset_id\n      having count(aom_id) >= 2\n    ) THEN\n    SELECT string_agg(a.nom, ' ') INTO nom\n    from aom a\n    left join dataset_aom_legal_owner d on d.aom_id = a.id\n    where d.dataset_id = NEW.id OR a.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20231214145408_dataset_monthly_metrics.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetMonthlyMetrics do\n  use Ecto.Migration\n\n  def change do\n    create table(:dataset_monthly_metrics) do\n      # Not adding a foreign key: https://github.com/etalab/transport-site/pull/3663/files#r1429890393\n      add(:dataset_datagouv_id, :string, null: false, size: 50)\n      # Example: 2023-12\n      add(:year_month, :string, null: false, size: 7)\n      add(:metric_name, :string, null: false, size: 50)\n      add(:count, :integer, null: false)\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(unique_index(:dataset_monthly_metrics, [:dataset_datagouv_id, :year_month, :metric_name]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20231222145809_improve_epci.exs",
    "content": "defmodule DB.Repo.Migrations.ImproveEPCI do\n  use Ecto.Migration\n\n  def change do\n    rename(table(:epci), :code, to: :insee)\n    create(unique_index(:epci, [:insee]))\n\n    alter table(:commune) do\n      add(:epci_insee, references(:epci, column: :insee, type: :string, on_delete: :nilify_all), null: true)\n    end\n\n    create(index(:commune, [:epci_insee]))\n\n    # Migrate data from epci communes_insee array column to epci_insee column in commune table\n    execute(\n      \"\"\"\n        UPDATE commune\n        SET epci_insee = epci.insee\n        FROM epci\n        WHERE commune.insee = ANY(epci.communes_insee)\n      \"\"\",\n      \"\"\"\n        UPDATE epci\n        SET communes_insee = ARRAY(\n          SELECT insee\n          FROM commune\n          WHERE commune.epci_insee = epci.insee\n        )\n      \"\"\"\n    )\n\n    alter table(:epci) do\n      add(:type, :string)\n      add(:mode_financement, :string)\n      add(:geom, :geometry)\n      remove(:communes_insee, {:array, :string}, default: [])\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20231231135108_add_dataset_search_payload.exs",
    "content": "defmodule DB.Repo.Migrations.AddDatasetSearchPayload do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:search_payload, :map, default: %{})\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240102144643_dataset_add_not_null.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetAddNotNull do\n  use Ecto.Migration\n\n  @attributes [\n    :datagouv_id,\n    :custom_title,\n    :licence,\n    :logo,\n    :full_logo,\n    :slug,\n    :tags,\n    :datagouv_title,\n    :type,\n    :frequency,\n    :has_realtime,\n    :is_active,\n    :nb_reuses\n  ]\n\n  def up do\n    Enum.each(@attributes, fn attribute ->\n      execute(\"ALTER TABLE dataset ALTER COLUMN #{attribute} SET NOT NULL\")\n    end)\n  end\n\n  def down do\n    Enum.each(@attributes, fn attribute ->\n      execute(\"ALTER TABLE dataset ALTER COLUMN #{attribute} DROP NOT NULL\")\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240110085755_resource_related_on_delete.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceRelatedOnDelete do\n  use Ecto.Migration\n\n  def change do\n    # Review foreign key settings previously set in\n    # 20230404074406_add_resource_related.exs\n    alter table(:resource_related) do\n      modify(:resource_src_id, references(:resource, on_delete: :delete_all),\n        from: references(:resource, on_delete: :nothing)\n      )\n\n      modify(:resource_dst_id, references(:resource, on_delete: :delete_all),\n        from: references(:resource, on_delete: :nothing)\n      )\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240117075117_resource_monthly_metrics.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceMonthlyMetrics do\n  use Ecto.Migration\n\n  def change do\n    create table(:resource_monthly_metrics) do\n      add(:resource_datagouv_id, :string, null: false, size: 50)\n      # Example: 2023-12\n      add(:year_month, :string, null: false, size: 7)\n      add(:metric_name, :string, null: false, size: 50)\n      add(:count, :integer, null: false)\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(unique_index(:resource_monthly_metrics, [:resource_datagouv_id, :year_month, :metric_name]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240118133546_create_processing_reports.exs",
    "content": "defmodule Transport.Repo.Migrations.CreateProcessingReports do\n  use Ecto.Migration\n\n  def change do\n    create table(:processing_reports) do\n      add(:content, :map)\n\n      timestamps()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240123133743_dataset_custom_logos_columns.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetCustomLogosColumns do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:custom_logo, :string)\n      add(:custom_full_logo, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240212101805_dataset_add_custom_logo_changed_at.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetAddCustomLogoChangedAt do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:custom_logo_changed_at, :utc_datetime_usec, null: true)\n    end\n\n    execute(\n      \"\"\"\n        update dataset set custom_logo_changed_at = t.custom_logo_changed_at::timestamp\n        from (\n          select '5d6eaffc8b4c417cdc452ac3' datagouv_id, '2024-02-09 08:17:00' custom_logo_changed_at union\n          select '60a50049fb874038a79867df' datagouv_id, '2024-02-07 13:16:00' custom_logo_changed_at union\n          select '60e324396e9514171898339c' datagouv_id, '2024-02-07 13:16:00' custom_logo_changed_at union\n          select '60e32505bdb603a010708d6c' datagouv_id, '2024-02-07 13:16:00' custom_logo_changed_at union\n          select '60febcaaf6d99c72ca482ac4' datagouv_id, '2024-02-07 13:16:00' custom_logo_changed_at union\n          select '625438b890bf88454b283a55' datagouv_id, '2024-02-09 08:17:00' custom_logo_changed_at union\n          select '632a56a687192cc1b58c0d3a' datagouv_id, '2024-02-09 13:44:00' custom_logo_changed_at union\n          select '632a56a68a907ff3d4eacfa4' datagouv_id, '2024-01-24 10:02:00' custom_logo_changed_at union\n          select '632a56a6a0eb7f886aeacfa4' datagouv_id, '2024-02-09 14:07:00' custom_logo_changed_at union\n          select '632a56a6a0eb7f886aeacfa5' datagouv_id, '2024-02-09 14:07:00' custom_logo_changed_at union\n          select '632a56a74916728dc7eacfa6' datagouv_id, '2024-02-09 14:07:00' custom_logo_changed_at union\n          select '632a56a7a0eb7f886aeacfa7' datagouv_id, '2024-02-09 14:09:00' custom_logo_changed_at union\n          select '638a2bd69c7bba6c44d36efa' datagouv_id, '2024-02-07 13:15:00' custom_logo_changed_at union\n          select '63b4c3d106d317f5caa80dc9' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d106d317f5caa80dca' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d200fbf8e5ed9dde9a' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d200fbf8e5ed9dde9b' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d206d317f5caa80dcd' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d206d317f5caa80dce' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d22989785f7e9dde9a' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d22989785f7e9dde9d' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d255130e7bb19dde9a' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d255130e7bb19dde9b' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d255130e7bb19dde9c' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d25a09dd67fc9dde9d' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d25c38a3ee979dde9b' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d25c38a3ee979dde9c' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d25e8da006139dde9a' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d25e8da006139dde9b' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d274694a83b49dde9c' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d2998fd84635a80dca' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d2998fd84635a80dcb' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d2d7857ab0c49dde9b' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d2d7857ab0c49dde9c' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d300fbf8e5ed9dde9d' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d300fbf8e5ed9dde9e' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d32989785f7e9dde9e' datagouv_id, '2024-01-29 16:07:00' custom_logo_changed_at union\n          select '63b4c3d355130e7bb19dde9d' datagouv_id, '2024-01-29 16:08:00' custom_logo_changed_at union\n          select '63b4c3d35a09dd67fc9dde9e' datagouv_id, '2024-01-29 16:08:00' custom_logo_changed_at union\n          select '63b4c3d35e8da006139dde9d' datagouv_id, '2024-01-29 16:08:00' custom_logo_changed_at union\n          select '64d0f399b37ace5777f8b27a' datagouv_id, '2024-02-07 13:16:00' custom_logo_changed_at union\n          select '651d2ece3af956b8dd0d7648' datagouv_id, '2024-02-09 08:22:00' custom_logo_changed_at union\n          select '658626a8d94ad9e953c71b48' datagouv_id, '2024-02-07 13:59:00' custom_logo_changed_at union\n          select '658626a9e96365230bac182c' datagouv_id, '2024-02-07 14:10:00' custom_logo_changed_at union\n          select '658626a9e96365230bac182d' datagouv_id, '2024-02-07 13:58:00' custom_logo_changed_at\n        ) t where dataset.datagouv_id = t.datagouv_id;\n      \"\"\",\n      \"\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240310152509_use_standard_timestamps_precision.exs",
    "content": "defmodule DB.Repo.Migrations.UseStandardTimestampsPrecision do\n  use Ecto.Migration\n\n  def change do\n    alter table(:processing_reports) do\n      remove(:inserted_at)\n      remove(:updated_at)\n      timestamps(type: :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240311141215_create_dataset_followers.exs",
    "content": "defmodule DB.Repo.Migrations.CreateDatasetsFollowers do\n  use Ecto.Migration\n\n  def change do\n    create table(:dataset_followers) do\n      add(:dataset_id, references(:dataset, on_delete: :delete_all), null: false)\n      add(:contact_id, references(:contact, on_delete: :delete_all), null: false)\n      add(:source, :string, size: 25)\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(unique_index(:dataset_followers, [:dataset_id, :contact_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240318143637_dataset_add_is_hidden.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetAddIsHidden do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      add(:is_hidden, :boolean, default: false, null: false)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240418140451_resource_url_size.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceUrlSize do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      modify(:url, :string, size: 500, from: {:string, size: 255})\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240422145836_create_user_feedback.exs",
    "content": "defmodule Transport.Repo.Migrations.CreateUserFeedback do\n  use Ecto.Migration\n\n  def change do\n    create table(:user_feedback) do\n      add(:rating, :string, null: false)\n      add(:explanation, :text, null: false)\n      add(:email, :binary)\n      add(:feature, :string, null: false)\n      add(:contact_id, references(:contact, on_delete: :nilify_all))\n\n      timestamps(type: :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240502134737_notification_subscriptions_migrate_platform_producer.exs",
    "content": "defmodule DB.Repo.Migrations.NotificationSubscriptionsMigratePlatformProducer do\n  use Ecto.Migration\n\n  def up do\n    execute(\"\"\"\n    UPDATE notification_subscription\n    SET role = 'reuser'\n    WHERE reason in ('datasets_switching_climate_resilience_bill', 'new_dataset')\n      AND role = 'producer'\n    \"\"\")\n  end\n\n  def down, do: IO.puts(\"No going back\")\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240515113652_add_dataset_datagouv_id_to_resource_monthly_metrics.exs",
    "content": "defmodule DB.Repo.Migrations.AddDatasetDatagouvIdToResourceMonthlyMetrics do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource_monthly_metrics) do\n      # nullable for now as we might need to refresh the data in a job\n      add(:dataset_datagouv_id, references(:dataset, column: :datagouv_id, type: :string, on_delete: :delete_all))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240515155123_relax_constraint_on_resource_monthly_metrics.exs",
    "content": "defmodule DB.Repo.Migrations.RelaxConstraintOnResourceMonthlyMetrics do\n  use Ecto.Migration\n\n  def up do\n    drop(constraint(:resource_monthly_metrics, \"resource_monthly_metrics_dataset_datagouv_id_fkey\"))\n  end\n\n  def down do\n    alter table(:resource_monthly_metrics) do\n      modify(:dataset_datagouv_id, references(:dataset, column: :datagouv_id, type: :string, on_delete: :delete_all))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240520130507_add_datagouv_id_to_dataset_history_resources.exs",
    "content": "defmodule DB.Repo.Migrations.AddDatagouvIdToDatasetHistoryResources do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset_history_resources) do\n      add(:resource_datagouv_id, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240604121342_notifications_add_columns.exs",
    "content": "defmodule DB.Repo.Migrations.NotificationsAddColumns do\n  use Ecto.Migration\n\n  def change do\n    alter table(:notifications) do\n      add(:notification_subscription_id, references(:notification_subscription, on_delete: :nothing))\n      add(:contact_id, references(:contact, on_delete: :nothing))\n      add(:role, :string)\n      add(:payload, :jsonb)\n    end\n\n    # Existing rows have been sent ~95% of the time to producers.\n    # The rest of the rows will be fixed in production with some queries\n    # (administrators dogfooding the upcoming reuser space).\n    execute(\"UPDATE notifications SET role = 'producer'\", \"\")\n\n    execute(\"ALTER TABLE notifications ALTER COLUMN role SET NOT NULL\", \"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240619052714_add_resource_counter_cache.exs",
    "content": "defmodule DB.Repo.Migrations.AddResourceCounterCache do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:counter_cache, :map, default: %{})\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240725130522_dataset_organization_type_migrate_value.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetOrganizationTypeMigrateValue do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE dataset SET organization_type = 'Partenariat régional' WHERE organization_type = 'Syndicat Mixte'\")\n  end\n\n  def down do\n    execute(\"UPDATE dataset SET organization_type = 'Syndicat Mixte' WHERE organization_type = 'Partenariat régional'\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240726065227_dataset_organization_id_not_null.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetOrganizationIdNotNull do\n  use Ecto.Migration\n\n  def up do\n    execute(\"ALTER TABLE dataset ALTER COLUMN organization_id SET NOT NULL\")\n  end\n\n  def down do\n    execute(\"ALTER TABLE dataset ALTER COLUMN organization_id DROP NOT NULL\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240730130026_notifications_adjust_foreign_keys.exs",
    "content": "defmodule DB.Repo.Migrations.NotificationsAdjustForeignKeys do\n  use Ecto.Migration\n\n  def change do\n    # Review foreign key settings previously set in\n    # 20240604121342_notifications_add_columns.exs\n    alter table(:notifications) do\n      modify(:notification_subscription_id, references(:notification_subscription, on_delete: :nilify_all),\n        from: references(:notification_subscription, on_delete: :nothing)\n      )\n\n      modify(:contact_id, references(:contact, on_delete: :nilify_all), from: references(:contact, on_delete: :nothing))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240905121512_dataset_remove_paris2024_tag.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetRemoveParis2024Tag do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE dataset SET custom_tags = array_remove(custom_tags, 'paris2024')\")\n  end\n\n  def down do\n    IO.puts(\"No going back\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20240926074311_contact_add_creation_source.exs",
    "content": "defmodule DB.Repo.Migrations.ContactAddCreationSource do\n  use Ecto.Migration\n\n  def change do\n    alter table(:contact) do\n      add(:creation_source, :string)\n    end\n\n    execute(\n      \"\"\"\n      UPDATE contact\n      SET creation_source = 'automation:import_contact_point'\n      WHERE id in (\n        SELECT distinct contact_id\n        FROM notification_subscription\n        WHERE source = 'automation:import_contact_point'\n      )\n      \"\"\",\n      \"\"\n    )\n\n    execute(\n      \"\"\"\n      UPDATE contact\n      SET creation_source = 'admin'\n      WHERE creation_source IS NULL\n        AND (last_login_at IS NULL OR inserted_at::date = '2023-03-02')\n      \"\"\",\n      \"\"\n    )\n\n    execute(\n      \"\"\"\n      UPDATE contact\n      SET creation_source = 'datagouv_oauth_login'\n      WHERE creation_source IS NULL\n      \"\"\",\n      \"\"\n    )\n\n    # Make sure the column is not null\n    execute(\"ALTER TABLE contact ALTER COLUMN creation_source SET NOT NULL\", \"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20241120132849_geo_data_import_add_slug.exs",
    "content": "defmodule DB.Repo.Migrations.GeoDataImportAddSlug do\n  use Ecto.Migration\n\n  def change do\n    alter table(:geo_data_import) do\n      add(:slug, :string)\n    end\n\n    create(unique_index(:geo_data_import, [:slug]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250204084455_reuser_improved_data.exs",
    "content": "defmodule DB.Repo.Migrations.ReuserImprovedData do\n  use Ecto.Migration\n\n  def change do\n    create table(:reuser_improved_data) do\n      add(:dataset_id, references(:dataset, on_delete: :delete_all), null: false)\n      add(:resource_id, references(:resource, on_delete: :delete_all), null: false)\n      add(:contact_id, references(:contact, on_delete: :delete_all), null: false)\n      add(:organization_id, references(:organization, type: :string, on_delete: :delete_all), null: false)\n      add(:download_url, :string, null: false)\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(index(:reuser_improved_data, [:dataset_id]))\n    create(index(:reuser_improved_data, [:organization_id]))\n    create(unique_index(:reuser_improved_data, [:resource_id, :organization_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250225130151_resource_history_add_reuser_improved_data.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceHistoryAddReuserImprovedData do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource_history) do\n      add(:reuser_improved_data_id, references(:reuser_improved_data, on_delete: :delete_all))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250305130125_resource_history_nullable_datagouv_id.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceHistoryNullableDatagouvId do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource_history) do\n      modify(:datagouv_id, :string, null: true, from: :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250305142322_create_reuse.exs",
    "content": "defmodule DB.Repo.Migrations.CreateReuse do\n  use Ecto.Migration\n\n  def change do\n    create table(:reuse) do\n      add(:datagouv_id, :string)\n      add(:title, :string)\n      add(:slug, :string)\n      add(:url, :string, size: 500)\n      add(:type, :string)\n      add(:description, :text)\n      add(:remote_url, :string, size: 1_000)\n      add(:organization, :string)\n      add(:organization_id, :string)\n      add(:owner, :string)\n      add(:owner_id, :string)\n      add(:image, :string)\n      add(:featured, :boolean, default: false)\n      add(:archived, :boolean, default: false)\n      add(:topic, :string)\n      add(:tags, {:array, :string})\n      add(:metric_discussions, :integer)\n      add(:metric_datasets, :integer)\n      add(:metric_followers, :integer)\n      add(:metric_views, :integer)\n      add(:created_at, :utc_datetime_usec)\n      add(:last_modified, :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250305143006_create_reuse_dataset.exs",
    "content": "defmodule DB.Repo.Migrations.CreateReuseDataset do\n  use Ecto.Migration\n\n  def change do\n    create table(:reuse_dataset, primary_key: false) do\n      add(:reuse_id, references(:reuse, on_delete: :delete_all))\n      add(:dataset_id, references(:dataset, on_delete: :delete_all))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250331133652_token.exs",
    "content": "defmodule DB.Repo.Migrations.Token do\n  use Ecto.Migration\n\n  def change do\n    create table(:token) do\n      add(:name, :string, null: false)\n      add(:secret, :binary, null: false)\n      # Will be used for searching\n      # https://hexdocs.pm/cloak_ecto/install.html#create-your-schema\n      add(:secret_hash, :binary, null: false)\n      add(:contact_id, references(:contact, on_delete: :delete_all))\n      add(:organization_id, references(:organization, type: :string, on_delete: :delete_all))\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(index(:token, [:organization_id]))\n    create(index(:token, [:secret_hash]))\n    create(unique_index(:token, [:organization_id, :name]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250527092321_create_api_request.exs",
    "content": "defmodule DB.Repo.Migrations.CreateApiRequest do\n  use Ecto.Migration\n  import Timescale.Migration\n\n  def change do\n    create table(:api_request, primary_key: false) do\n      add(:time, :utc_datetime_usec, null: false)\n      add(:token_id, references(:token, on_delete: :delete_all))\n      add(:method, :string, size: 250)\n      add(:path, :string, size: 1_000)\n    end\n\n    timescaledb_available = Enum.member?(postgresql_extensions(), \"timescaledb\")\n\n    if direction() == :up and timescaledb_available do\n      create_timescaledb_extension()\n      create_hypertable(:api_request, :time)\n    end\n\n    if System.get_env(\"CI\") == \"true\" and not timescaledb_available do\n      raise \"TimescaleDB should be available in CI\"\n    end\n\n    create_if_not_exists(index(:api_request, [:token_id]))\n    create_if_not_exists(index(:api_request, [:method]))\n  end\n\n  def postgresql_extensions do\n    %Postgrex.Result{rows: rows} = Ecto.Adapters.SQL.query!(DB.Repo, \"SELECT extname FROM pg_extension\")\n    List.flatten(rows)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250530171428_token_add_default_for_contact_id.exs",
    "content": "defmodule DB.Repo.Migrations.TokenAddDefaultForContactId do\n  use Ecto.Migration\n\n  def change do\n    alter table(:token) do\n      add(:default_for_contact_id, references(:contact, on_delete: :delete_all))\n    end\n\n    create(index(:token, [:default_for_contact_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250603104959_default_token.exs",
    "content": "defmodule DB.Repo.Migrations.DefaultToken do\n  use Ecto.Migration\n\n  def change do\n    alter table(:token) do\n      remove(:default_for_contact_id)\n    end\n\n    create table(:default_token) do\n      add(:contact_id, references(:contact, on_delete: :delete_all), null: false)\n      add(:token_id, references(:token, on_delete: :delete_all), null: false)\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(unique_index(:default_token, [:contact_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250604082439_resource_download.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceDownload do\n  use Ecto.Migration\n  import Timescale.Migration\n\n  def change do\n    create table(:resource_download, primary_key: false) do\n      add(:time, :utc_datetime_usec, null: false)\n      add(:token_id, references(:token, on_delete: :delete_all))\n      add(:resource_id, references(:resource, on_delete: :nothing))\n    end\n\n    timescaledb_available = Enum.member?(postgresql_extensions(), \"timescaledb\")\n\n    if direction() == :up and timescaledb_available do\n      create_timescaledb_extension()\n      create_hypertable(:resource_download, :time)\n    end\n\n    if System.get_env(\"CI\") == \"true\" and not timescaledb_available do\n      raise \"TimescaleDB should be available in CI\"\n    end\n\n    create_if_not_exists(index(:resource_download, [:token_id]))\n    create_if_not_exists(index(:resource_download, [:resource_id]))\n  end\n\n  def postgresql_extensions do\n    %Postgrex.Result{rows: rows} = Ecto.Adapters.SQL.query!(DB.Repo, \"SELECT extname FROM pg_extension\")\n    List.flatten(rows)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250610141027_migrate_dataset_types.exs",
    "content": "defmodule DB.Repo.Migrations.MigrateDatasetTypes do\n  use Ecto.Migration\n\n  def up do\n    execute(\"UPDATE dataset SET type = 'public-transit' WHERE type = 'air-transport'\")\n    execute(\"UPDATE dataset SET type = 'bike-data' WHERE type IN ('bike-way', 'bike-parking')\")\n    execute(\"UPDATE dataset SET type = 'road-data' WHERE type IN ('private-parking', 'low-emission-zones')\")\n    execute(\"UPDATE dataset SET type = 'informations' WHERE type IN ('locations', 'transport-traffic')\")\n    execute(\"UPDATE dataset SET type = 'pedestrian-path' WHERE custom_title ILIKE '%cheminements piétons%'\")\n\n    execute(\n      \"UPDATE dataset SET type = 'vehicles-sharing' WHERE type IN ('bike-scooter-sharing', 'car-motorbike-sharing')\"\n    )\n  end\n\n  def down, do: IO.puts(\"No going back\")\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250617100226_create_administrative_division.exs",
    "content": "defmodule DB.Repo.Migrations.CreateAdministrativeDivision do\n  use Ecto.Migration\n\n  def change do\n    create table(:administrative_division) do\n      add(:type_insee, :string, null: false)\n      add(:type, :string, null: false)\n      add(:insee, :string, null: false)\n      add(:nom, :string, null: false)\n      add(:geom, :geometry, null: false)\n\n      # NOTE: this table doesn’t show relationships between divisions,\n      # such as communes belonging to an EPCI and a departement, etc.\n    end\n\n    create(unique_index(:administrative_division, [:type_insee]))\n    create(index(:administrative_division, [:nom]))\n\n    # NOTE: To populate this table, run: mix Transport.PopulateAdministrativeDivisions\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250618122521_feature_usage.exs",
    "content": "defmodule DB.Repo.Migrations.FeatureUsage do\n  use Ecto.Migration\n  import Timescale.Migration\n\n  def change do\n    create table(:feature_usage, primary_key: false) do\n      add(:time, :utc_datetime_usec, null: false)\n      add(:feature, :string, null: false)\n      add(:contact_id, references(:contact, on_delete: :delete_all))\n      add(:metadata, :jsonb)\n    end\n\n    timescaledb_available = Enum.member?(postgresql_extensions(), \"timescaledb\")\n\n    if direction() == :up and timescaledb_available do\n      create_timescaledb_extension()\n      create_hypertable(:feature_usage, :time)\n    end\n\n    if System.get_env(\"CI\") == \"true\" and not timescaledb_available do\n      raise \"TimescaleDB should be available in CI\"\n    end\n\n    create_if_not_exists(index(:feature_usage, [:feature]))\n    create_if_not_exists(index(:feature_usage, [:contact_id]))\n  end\n\n  def postgresql_extensions do\n    %Postgrex.Result{rows: rows} = Ecto.Adapters.SQL.query!(DB.Repo, \"SELECT extname FROM pg_extension\")\n    List.flatten(rows)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250620141849_create_dataset_declarative_spatial_area.exs",
    "content": "defmodule DB.Repo.Migrations.CreateDatasetDeclarativeSpatialArea do\n  use Ecto.Migration\n\n  def change do\n    create table(:dataset_declarative_spatial_area, primary_key: false) do\n      add(:dataset_id, references(:dataset, on_delete: :delete_all), null: false)\n      add(:administrative_division_id, references(:administrative_division, on_delete: :delete_all), null: false)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250816134003_upgrade_oban_jobs_to_v13.exs",
    "content": "defmodule DB.Repo.Migrations.UpgradeObanJobsToV13 do\n  use Ecto.Migration\n\n  def up, do: Oban.Migrations.up(version: 13)\n\n  def down, do: Oban.Migrations.down(version: 13)\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250818131430_create_proxy_request.exs",
    "content": "defmodule DB.Repo.Migrations.CreateProxyRequest do\n  use Ecto.Migration\n  import Timescale.Migration\n\n  def change do\n    create table(:proxy_request, primary_key: false) do\n      add(:time, :utc_datetime_usec, null: false)\n      add(:token_id, references(:token, on_delete: :delete_all))\n      add(:proxy_id, :string, size: 250)\n    end\n\n    timescaledb_available = Enum.member?(postgresql_extensions(), \"timescaledb\")\n\n    if direction() == :up and timescaledb_available do\n      create_timescaledb_extension()\n      create_hypertable(:proxy_request, :time)\n    end\n\n    if System.get_env(\"CI\") == \"true\" and not timescaledb_available do\n      raise \"TimescaleDB should be available in CI\"\n    end\n\n    create_if_not_exists(index(:proxy_request, [:token_id]))\n    create_if_not_exists(index(:proxy_request, [:proxy_id]))\n  end\n\n  def postgresql_extensions do\n    %Postgrex.Result{rows: rows} = Ecto.Adapters.SQL.query!(DB.Repo, \"SELECT extname FROM pg_extension\")\n    List.flatten(rows)\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250905085103_create_irve_tables.exs",
    "content": "defmodule DB.Repo.Migrations.CreateIrveTables do\n  use Ecto.Migration\n\n  def change do\n    create table(:irve_valid_file) do\n      add(:dataset_datagouv_id, :string, null: false)\n      add(:resource_datagouv_id, :string, null: false)\n      add(:checksum, :string, null: false)\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create table(:irve_valid_pdc) do\n      add(:irve_valid_file_id, references(:irve_valid_file, on_delete: :delete_all), null: false)\n\n      # IRVE Schema fields\n      add(:nom_amenageur, :string)\n      add(:siren_amenageur, :string)\n      add(:contact_amenageur, :string)\n      add(:nom_operateur, :string)\n      add(:contact_operateur, :string, null: false)\n      add(:telephone_operateur, :string)\n      add(:nom_enseigne, :string, null: false)\n      add(:id_station_itinerance, :string, null: false)\n      add(:id_station_local, :string)\n      add(:nom_station, :string, null: false)\n      add(:implantation_station, :string, null: false)\n      add(:adresse_station, :string, null: false)\n      add(:code_insee_commune, :string)\n      add(:nbre_pdc, :integer, null: false)\n      add(:id_pdc_itinerance, :string, null: false)\n      add(:id_pdc_local, :string)\n      add(:puissance_nominale, :decimal, null: false)\n      add(:prise_type_ef, :boolean, null: false)\n      add(:prise_type_2, :boolean, null: false)\n      add(:prise_type_combo_ccs, :boolean, null: false)\n      add(:prise_type_chademo, :boolean, null: false)\n      add(:prise_type_autre, :boolean, null: false)\n      add(:gratuit, :boolean)\n      add(:paiement_acte, :boolean, null: false)\n      add(:paiement_cb, :boolean)\n      add(:paiement_autre, :boolean)\n      add(:tarification, :text)\n      add(:condition_acces, :text, null: false)\n      add(:reservation, :boolean, null: false)\n      add(:horaires, :string, null: false)\n      add(:accessibilite_pmr, :string, null: false)\n      add(:restriction_gabarit, :string, null: false)\n      add(:station_deux_roues, :boolean, null: false)\n      add(:raccordement, :string)\n      add(:num_pdl, :string)\n      add(:date_mise_en_service, :date)\n      add(:observations, :text)\n      add(:date_maj, :date, null: false)\n      add(:cable_t2_attache, :boolean)\n      add(:longitude, :decimal, null: false)\n      add(:latitude, :decimal, null: false)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(unique_index(:irve_valid_file, [:resource_datagouv_id, :checksum]))\n\n    create(index(:irve_valid_pdc, [:irve_valid_file_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250905125828_places_add_departement.exs",
    "content": "defmodule DB.Repo.Migrations.PlacesAddDepartement do\n  use Ecto.Migration\n\n  def up do\n    # we drop the old 'places' view, before recreating it\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_region_trigger ON region;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_aom_trigger ON aom;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_commune_trigger ON commune;\")\n    execute(\"DROP FUNCTION refresh_places;\")\n    execute(\"DROP MATERIALIZED VIEW places;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW places AS\n    SELECT nom, place_id, type, indexed_name\n    FROM\n    (\n        (\n          SELECT\n          c.nom AS nom,\n          c.insee AS place_id,\n          'commune' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM commune c\n        )\n        UNION\n        (\n          SELECT\n          r.nom AS nom,\n          CAST(r.id AS varchar) AS place_id,\n          'region' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM region r\n        )\n        UNION\n        (\n          SELECT\n            ad.nom AS nom,\n            CAST(ad.insee AS varchar) AS place_id,\n            'departement' AS type,\n            unaccent(replace(ad.nom, ' ', '-')) AS indexed_name\n          FROM administrative_division ad\n          WHERE type = 'departement'\n        )\n        UNION\n        (\n          SELECT a.nom AS nom,\n          CAST(a.id AS varchar) AS place_id,\n          'aom' AS type,\n          unaccent(replace(nom, ' ', '-')) AS indexed_name\n          FROM aom a\n        )\n        UNION\n        (\n          SELECT features AS nom,\n          features AS place_id,\n          'feature' AS type,\n          unaccent(replace(features, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(features)) as features FROM resource_metadata\n          ) as features\n        )\n        UNION\n        (\n          SELECT modes AS nom,\n          modes AS place_id,\n          'mode' AS type,\n          unaccent(replace(modes, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(modes)) as modes FROM resource_metadata\n          ) as modes\n        )\n    ) AS place\n    WITH DATA\n    \"\"\")\n\n    execute(\"CREATE INDEX indexed_name_index ON places USING GIN(indexed_name gin_trgm_ops);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_places()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW places;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger for region, departement, aom and commune update\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_region_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON region\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_region_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON departement\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_aom_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON aom\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_commune_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON commune\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n  end\n\n  def down, do: IO.puts(\"No going back\")\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250915101514_places_add_epci.exs",
    "content": "defmodule DB.Repo.Migrations.PlacesAddEPCI do\n  use Ecto.Migration\n\n  def up do\n    # we drop the old 'places' view, before recreating it\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_region_trigger ON region;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_region_trigger ON departement;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_aom_trigger ON aom;\")\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_commune_trigger ON commune;\")\n    execute(\"DROP FUNCTION refresh_places;\")\n    execute(\"DROP MATERIALIZED VIEW places;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW places AS\n    SELECT nom, place_id, type, indexed_name\n    FROM\n    (\n        (\n          SELECT\n            ad.nom AS nom,\n            ad.insee AS place_id,\n            ad.type AS type,\n            unaccent(replace(ad.nom, ' ', '-')) AS indexed_name\n          FROM administrative_division ad\n          WHERE ad.type in ('commune', 'epci', 'departement', 'region')\n        )\n        UNION\n        (\n          SELECT features AS nom,\n          features AS place_id,\n          'feature' AS type,\n          unaccent(replace(features, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(features)) as features FROM resource_metadata\n          ) as features\n        )\n        UNION\n        (\n          SELECT modes AS nom,\n          modes AS place_id,\n          'mode' AS type,\n          unaccent(replace(modes, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(modes)) as modes FROM resource_metadata\n          ) as modes\n        )\n    ) AS place\n    WITH DATA\n    \"\"\")\n\n    execute(\"CREATE INDEX indexed_name_index ON places USING GIN(indexed_name gin_trgm_ops);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_places()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW places;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_region_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON administrative_division\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n  end\n\n  def down, do: IO.puts(\"No going back\")\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250917125049_dataset_geographic_view_administrative_division.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetGeographicViewAdministrativeDivision do\n  use Ecto.Migration\n\n  def up do\n    execute(\"DROP TRIGGER refresh_dataset_geographic_view_trigger ON dataset;\")\n    execute(\"DROP FUNCTION refresh_dataset_geographic_view;\")\n    execute(\"DROP MATERIALIZED VIEW dataset_geographic_view;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW dataset_geographic_view AS\n    select distinct\n      d.id dataset_id,\n      coalesce(c.region_id, r.id, c_epci.region_id, r_de.id) region_id,\n      geo.geom\n    from dataset d\n    join dataset_declarative_spatial_area ddsa on ddsa.dataset_id = d.id\n    join administrative_division ad on ad.id = ddsa.administrative_division_id\n    left join commune c on c.insee = ad.insee and ad.type = 'commune'\n    left join region r on r.insee = ad.insee and ad.type in ('region', 'pays')\n    left join commune c_epci on c_epci.epci_insee = ad.insee and ad.type = 'epci'\n    left join departement de on de.insee = ad.insee and ad.type = 'departement'\n    left join region r_de on r_de.insee = de.region_insee\n    join (\n      select\n        d.id dataset_id,\n        st_union(geom) geom\n      from dataset d\n      join dataset_declarative_spatial_area ddsa on ddsa.dataset_id = d.id\n      join administrative_division ad on ad.id = ddsa.administrative_division_id\n      group by 1\n    ) geo on geo.dataset_id = d.id\n    WITH DATA;\n    \"\"\")\n\n    # Add an index on dataset_id since we'll often make a join on this\n    execute(\"CREATE INDEX dataset_id_idx ON dataset_geographic_view (dataset_id);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n      CREATE OR REPLACE FUNCTION refresh_dataset_geographic_view()\n      RETURNS trigger AS $$\n      BEGIN\n        REFRESH MATERIALIZED VIEW dataset_geographic_view;\n        RETURN NULL;\n      END;\n      $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    # Call of the trigger\n    execute(\"\"\"\n      CREATE TRIGGER refresh_dataset_geographic_view_trigger\n      AFTER INSERT OR UPDATE OR DELETE\n      ON dataset\n      FOR EACH STATEMENT\n      EXECUTE PROCEDURE refresh_dataset_geographic_view();\n    \"\"\")\n  end\n\n  def down, do: IO.puts(\"No going back\")\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250922081424_administrative_division_population.exs",
    "content": "defmodule DB.Repo.Migrations.AdministrativeDivisionPopulation do\n  use Ecto.Migration\n\n  def change do\n    alter table(:administrative_division) do\n      add(:population, :integer, null: true)\n    end\n\n    execute(\n      \"\"\"\n      UPDATE administrative_division SET population = t.population\n      FROM (\n        SELECT insee, population\n        FROM commune\n      ) t\n      WHERE t.insee = administrative_division.insee and type = 'commune';\n      \"\"\",\n      \"\"\n    )\n\n    execute(\n      \"\"\"\n      UPDATE administrative_division SET population = t.population\n      FROM (\n        SELECT epci_insee insee, sum(population) population\n        FROM commune\n        WHERE epci_insee is not null\n        group by 1\n      ) t\n      WHERE t.insee = administrative_division.insee and type = 'epci';\n      \"\"\",\n      \"\"\n    )\n\n    execute(\n      \"\"\"\n      UPDATE administrative_division SET population = t.population\n      FROM (\n        SELECT departement_insee insee, sum(population) population\n        FROM commune\n        group by 1\n      ) t\n      WHERE t.insee = administrative_division.insee and type = 'departement';\n      \"\"\",\n      \"\"\n    )\n\n    execute(\n      \"\"\"\n      UPDATE administrative_division SET population = t.population\n      FROM (\n        SELECT r.insee insee, sum(population) population\n        FROM commune c\n        join region r on r.id = c.region_id\n        group by 1\n      ) t\n      WHERE t.insee = administrative_division.insee and type = 'region';\n      \"\"\",\n      \"\"\n    )\n\n    execute(\n      \"\"\"\n      UPDATE administrative_division\n      SET population = (select sum(population) from commune)\n      where insee = 'FR';\n      \"\"\",\n      \"\"\n    )\n\n    execute(\n      \"\"\"\n      ALTER TABLE administrative_division ALTER COLUMN population SET NOT NULL;\n      \"\"\",\n      \"\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20250922083326_dataset_search_update_remove_population.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetSearchUpdateRemovePopulation do\n  use Ecto.Migration\n\n  def change do\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom INTO nom, region_nom\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.composition_res_id = commune.aom_res_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom INTO nom\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    IF EXISTS (\n      select dataset_id\n      from dataset_aom_legal_owner\n      where dataset_id = NEW.id\n      group by dataset_id\n      having count(aom_id) >= 2\n    ) THEN\n    SELECT string_agg(a.nom, ' ') INTO nom\n    from aom a\n    left join dataset_aom_legal_owner d on d.aom_id = a.id\n    where d.dataset_id = NEW.id OR a.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251006140759_delete_cascade_resource_downloads.exs",
    "content": "defmodule DB.Repo.Migrations.DeleteCascadeResourceDownloads do\n  use Ecto.Migration\n\n  def change do\n    drop(constraint(:resource_download, \"resource_download_resource_id_fkey\"))\n\n    alter table(:resource_download) do\n      modify(:resource_id, references(:resource, on_delete: :delete_all))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251009114246_add_result_digest_to_multi_validation.exs",
    "content": "defmodule DB.Repo.Migrations.AddResultDigestToMultiValidation do\n  use Ecto.Migration\n\n  def change do\n    alter table(:multi_validation) do\n      add(:digest, :jsonb)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251027091600_commune_aom_siren.exs",
    "content": "defmodule DB.Repo.Migrations.CommuneAomSiren do\n  use Ecto.Migration\n\n  def change do\n    alter table(:commune) do\n      add(:aom_siren, :varchar, null: true)\n    end\n\n    execute(\n      \"\"\"\n      UPDATE commune SET aom_siren = t.siren\n      FROM (\n      SELECT composition_res_id, siren\n      FROM aom\n      ) t\n      WHERE t.composition_res_id = commune.aom_res_id;\n      \"\"\",\n      \"\"\n    )\n\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    region_nom region.nom%TYPE;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF NEW.aom_id IS NOT NULL THEN\n    SELECT aom.nom, region.nom INTO nom, region_nom\n    FROM aom\n    JOIN region ON region.id = aom.region_id\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A') ||\n    setweight(to_tsvector('custom_french', coalesce(region_nom, '')), 'B');\n\n    SELECT string_agg(commune.nom, ' ') INTO nom\n    FROM commune\n    JOIN aom ON aom.siren = commune.aom_siren\n    WHERE aom.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'B');\n\n    ELSIF NEW.region_id IS NOT NULL THEN\n    SELECT region.nom INTO nom\n    FROM region\n    JOIN aom ON aom.region_id = region.id\n    WHERE region.id = NEW.region_id\n    GROUP BY region.nom;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    IF EXISTS (\n    select dataset_id\n    from dataset_aom_legal_owner\n    where dataset_id = NEW.id\n    group by dataset_id\n    having count(aom_id) >= 2\n    ) THEN\n    SELECT string_agg(a.nom, ' ') INTO nom\n    from aom a\n    left join dataset_aom_legal_owner d on d.aom_id = a.id\n    where d.dataset_id = NEW.id OR a.id = NEW.aom_id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    alter table(:commune) do\n      remove(:aom_res_id)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251117085613_delete_dataset_communes.exs",
    "content": "defmodule DB.Repo.Migrations.DeleteDatasetCommunes do\n  use Ecto.Migration\n\n  def change do\n    drop(table(\"dataset_communes\"))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251117090342_dataset_delete_aom_id_region_id.exs",
    "content": "defmodule DB.Repo.Migrations.DatasetDeleteAomIdRegionId do\n  use Ecto.Migration\n\n  def change do\n    alter table(:dataset) do\n      remove(:aom_id)\n      remove(:region_id)\n    end\n\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION dataset_search_update() RETURNS trigger as $$\n    DECLARE\n    nom text;\n    BEGIN\n\n    NEW.search_vector = setweight(to_tsvector('custom_french', coalesce(NEW.custom_title, '')), 'B') ||\n    setweight(to_tsvector('custom_french', array_to_string(NEW.tags, ',')), 'C') ||\n    setweight(to_tsvector('custom_french', coalesce(NEW.description, '')), 'D');\n\n    IF EXISTS (\n      select dataset_id\n      from dataset_aom_legal_owner\n      where dataset_id = NEW.id\n      group by dataset_id\n      having count(aom_id) >= 2\n    ) THEN\n    SELECT string_agg(a.nom, ' ') INTO nom\n    from aom a\n    left join dataset_aom_legal_owner d on d.aom_id = a.id\n    where d.dataset_id = NEW.id;\n\n    NEW.search_vector = NEW.search_vector ||\n    setweight(to_tsvector('custom_french', coalesce(nom, '')), 'A');\n    END IF;\n\n    RETURN NEW;\n    END\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"DROP TRIGGER IF EXISTS region_update_trigger ON region;\")\n    execute(\"DROP TRIGGER IF EXISTS aom_update_trigger ON aom;\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251120121226_create_offer.exs",
    "content": "defmodule DB.Repo.Migrations.CreateOffer do\n  use Ecto.Migration\n\n  def change do\n    create table(:offer) do\n      add(:nom_commercial, :string, null: false)\n      add(:identifiant_offre, :integer, null: false)\n      add(:type_transport, :string, null: false)\n      add(:modes, {:array, :string}, null: false)\n      add(:nom_aom, :string, null: false)\n      add(:aom_siren, :string, null: false)\n      add(:aom_id, references(:aom))\n      add(:niveau, :string, null: false)\n      add(:exploitant, :string, null: true)\n      add(:type_contrat, :string, null: true)\n      add(:territoire, :string, null: false, size: 5_000)\n      timestamps(type: :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251120125829_create_dataset_offer.exs",
    "content": "defmodule DB.Repo.Migrations.CreateDatasetOffer do\n  use Ecto.Migration\n\n  def change do\n    create table(:dataset_offer, primary_key: false) do\n      add(:dataset_id, references(:dataset, on_delete: :delete_all), null: false)\n      add(:offer_id, references(:offer, on_delete: :delete_all), null: false)\n    end\n\n    create(index(\"dataset_offer\", [:dataset_id]))\n    create(index(\"dataset_offer\", [:offer_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251121164427_region_iso3166.exs",
    "content": "defmodule DB.Repo.Migrations.RegionIso3166 do\n  use Ecto.Migration\n\n  def change do\n    alter table(:region) do\n      add(:iso3166, :string)\n    end\n\n    execute(\"\"\"\n    UPDATE region SET iso3166 = t.iso3166\n    FROM (\n      select 'FR-ARA' iso3166, 'Auvergne-Rhône-Alpes' nom\n      union\n      select 'FR-BFC' iso3166, 'Bourgogne-Franche-Comté' nom\n      union\n      select 'FR-BRE' iso3166, 'Bretagne' nom\n      union\n      select 'FR-CVL' iso3166, 'Centre-Val de Loire' nom\n      union\n      select 'FR-GES' iso3166, 'Grand Est' nom\n      union\n      select 'FR-HDF' iso3166, 'Hauts-de-France' nom\n      union\n      select 'FR-NOR' iso3166, 'Normandie' nom\n      union\n      select 'FR-NAQ' iso3166, 'Nouvelle-Aquitaine' nom\n      union\n      select 'FR-OCC' iso3166, 'Occitanie' nom\n      union\n      select 'FR-PDL' iso3166, 'Pays de la Loire' nom\n      union\n      select 'FR-PAC' iso3166, 'Provence-Alpes-Côte d’Azur' nom\n      union\n      select 'FR-IDF' iso3166, 'Île-de-France' nom\n      union\n      select 'FR-974' iso3166, 'La Réunion' nom\n      union\n      select 'FR-971' iso3166, 'Guadeloupe' nom\n      union\n      select 'FR-973' iso3166, 'Guyane' nom\n      union\n      select 'FR-976' iso3166, 'Mayotte' nom\n      union\n      select 'FR-972' iso3166, 'Martinique' nom\n      union\n      select 'FR-NC' iso3166, 'Nouvelle-Calédonie' nom\n      union\n      select 'FR-20R' iso3166, 'Corse' nom\n    ) t\n    WHERE t.nom = region.nom\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251202120339_region_remove_is_completed.exs",
    "content": "defmodule DB.Repo.Migrations.RegionRemoveIsCompleted do\n  use Ecto.Migration\n\n  def change do\n    alter table(:region) do\n      remove(:is_completed)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251203161550_add_indexes_resource_history.exs",
    "content": "defmodule DB.Repo.Migrations.AddIndexesResourceHistory do\n  use Ecto.Migration\n\n  def change do\n    # Fix de performance pour /api/datasets, nécessaire pour ne pas utiliser\n    # l‘index suivant qui dégrade les performances\n    create_if_not_exists(index(:resource_history, [:resource_id, :inserted_at]))\n\n    # Fix de performance pour datasets#details\n    create_if_not_exists(index(:resource_history, [:inserted_at]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251204151437_places_add_offers.exs",
    "content": "defmodule DB.Repo.Migrations.PlacesAddOffers do\n  use Ecto.Migration\n\n  def up do\n    # we drop the old 'places' view, before recreating it\n    execute(\"DROP TRIGGER IF EXISTS refresh_places_region_trigger ON administrative_division;\")\n    execute(\"DROP FUNCTION refresh_places;\")\n    execute(\"DROP MATERIALIZED VIEW places;\")\n\n    execute(\"\"\"\n    CREATE MATERIALIZED VIEW places AS\n    SELECT nom, place_id, type, indexed_name\n    FROM\n    (\n        (\n          SELECT\n            ad.nom AS nom,\n            ad.insee AS place_id,\n            ad.type AS type,\n            unaccent(replace(ad.nom, ' ', '-')) AS indexed_name\n          FROM administrative_division ad\n          WHERE ad.type in ('commune', 'epci', 'departement', 'region')\n        )\n        UNION\n        (\n          SELECT features AS nom,\n          features AS place_id,\n          'feature' AS type,\n          unaccent(replace(features, ' ', '-')) AS indexed_name\n          FROM (\n            -- GTFS Transport validator\n            select distinct unnest(features) features\n            from resource_metadata rm\n            inner join multi_validation mv on mv.id = rm.multi_validation_id\n            where mv.validator in ('GTFS transport-validator')\n\n            union\n            -- GTFS-RT validation\n            select distinct unnest(features) features\n            from resource_metadata rm\n            join resource r on r.id = rm.resource_id and r.format = 'gtfs-rt'\n          ) as features\n        )\n        UNION\n        (\n          SELECT modes AS nom,\n          modes AS place_id,\n          'mode' AS type,\n          unaccent(replace(modes, ' ', '-')) AS indexed_name\n          FROM (\n          SELECT DISTINCT(UNNEST(modes)) as modes FROM resource_metadata\n          ) as modes\n        )\n        UNION\n        (\n          SELECT nom_commercial AS nom,\n          identifiant_offre::varchar as place_id,\n          'offer' AS type,\n          unaccent(replace(nom_commercial, ' ', '-')) AS indexed_name\n          FROM offer\n        )\n    ) AS place\n    WITH DATA\n    \"\"\")\n\n    execute(\"CREATE INDEX indexed_name_index ON places USING GIN(indexed_name gin_trgm_ops);\")\n\n    # Define a trigger function to refresh the materialized view\n    execute(\"\"\"\n    CREATE OR REPLACE FUNCTION refresh_places()\n    RETURNS trigger AS $$\n    BEGIN\n      REFRESH MATERIALIZED VIEW places;\n      RETURN NULL;\n    END;\n    $$ LANGUAGE plpgsql;\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON administrative_division\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n\n    execute(\"\"\"\n    CREATE TRIGGER refresh_places_trigger\n    AFTER INSERT OR UPDATE OR DELETE\n    ON offer\n    FOR EACH STATEMENT\n    EXECUTE PROCEDURE refresh_places();\n    \"\"\")\n  end\n\n  def down, do: IO.puts(\"No going back\")\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251204172125_offer_index.exs",
    "content": "defmodule DB.Repo.Migrations.OfferIndex do\n  use Ecto.Migration\n\n  def change do\n    create_if_not_exists(unique_index(:offer, [:identifiant_offre]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251204202714_resource_format_override.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceFormatOverride do\n  use Ecto.Migration\n\n  def change do\n    alter table(:resource) do\n      add(:format_override, :string)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251208124339_places_rename_autocomplete.exs",
    "content": "defmodule DB.Repo.Migrations.PlacesRenameAutocomplete do\n  use Ecto.Migration\n\n  def up do\n    (Application.app_dir(:transport, \"priv\") <> \"/repo/migrations/sql/places_rename_autocomplete.sql\")\n    |> File.read!()\n    |> String.split(\"|\")\n    |> Enum.each(fn q -> DB.Repo |> Ecto.Adapters.SQL.query!(q) end)\n  end\n\n  def down, do: IO.puts(\"No going back\")\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251209110327_departement_iso3166.exs",
    "content": "defmodule DB.Repo.Migrations.DepartementIso3166 do\n  use Ecto.Migration\n\n  def change do\n    alter table(:departement) do\n      add(:iso3166, :string)\n    end\n\n    execute(\"\"\"\n    UPDATE departement SET iso3166 = 'FR-' || insee;\n    \"\"\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251209123938_add_table_size_history.exs",
    "content": "defmodule DB.Repo.Migrations.AddTableSizeHistory do\n  use Ecto.Migration\n\n  def change do\n    create table(:table_size_history) do\n      add(:table_name, :string, null: false)\n      add(:size, :bigint, null: false)\n      add(:date, :date, null: false)\n    end\n\n    create(index(:table_size_history, [:table_name]))\n    create(unique_index(:table_size_history, [:table_name, :date]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251209144903_add_gtfs_agency.exs",
    "content": "defmodule DB.Repo.Migrations.AddGtfsAgency do\n  use Ecto.Migration\n\n  def change do\n    create table(:gtfs_agency) do\n      add(:data_import_id, references(:data_import, on_delete: :delete_all))\n      add(:agency_id, :binary)\n      add(:agency_name, :binary)\n      add(:agency_url, :binary)\n      add(:agency_timezone, :binary)\n      add(:agency_lang, :binary)\n      add(:agency_phone, :binary)\n      add(:agency_fare_url, :binary)\n      add(:agency_email, :binary)\n      add(:cemv_support, :integer)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251209172445_add_multi_validation_binary_result.exs",
    "content": "defmodule DB.Repo.Migrations.AddMultiValidationBinaryResult do\n  use Ecto.Migration\n\n  def change do\n    alter table(:multi_validation) do\n      add(:binary_result, :binary)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251215081025_autocomplete_add_format.exs",
    "content": "defmodule DB.Repo.Migrations.AutocompleteAddFormat do\n  use Ecto.Migration\n\n  def up do\n    (Application.app_dir(:transport, \"priv\") <> \"/repo/migrations/sql/autocomplete_add_format.sql\")\n    |> File.read!()\n    |> String.split(\"|\")\n    |> Enum.each(fn q -> DB.Repo |> Ecto.Adapters.SQL.query!(q) end)\n  end\n\n  def down, do: IO.puts(\"No going back\")\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251218133947_autocomplete_add_dataset.exs",
    "content": "defmodule DB.Repo.Migrations.AutocompleteAddDataset do\n  use Ecto.Migration\n\n  def up do\n    (Application.app_dir(:transport, \"priv\") <> \"/repo/migrations/sql/autocomplete_add_dataset.sql\")\n    |> File.read!()\n    |> String.split(\"|\")\n    |> Enum.each(fn q -> DB.Repo |> Ecto.Adapters.SQL.query!(q) end)\n  end\n\n  def down, do: IO.puts(\"No going back\")\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20251220162908_contact_add_locale.exs",
    "content": "defmodule DB.Repo.Migrations.ContactAddLocale do\n  use Ecto.Migration\n\n  def change do\n    alter table(:contact) do\n      add(:locale, :string, default: \"fr\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20260117113753_create_hidden_reuser_alerts.exs",
    "content": "defmodule DB.Repo.Migrations.CreateHiddenReuserAlerts do\n  use Ecto.Migration\n\n  def change do\n    create table(:hidden_reuser_alerts) do\n      add(:contact_id, references(:contact, on_delete: :delete_all), null: false)\n      add(:dataset_id, references(:dataset, on_delete: :delete_all), null: false)\n      add(:check_type, :string, null: false)\n      add(:resource_id, :integer)\n      add(:discussion_id, :string)\n      add(:hidden_until, :utc_datetime_usec, null: false)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(index(:hidden_reuser_alerts, [:contact_id]))\n    create(index(:hidden_reuser_alerts, [:dataset_id]))\n\n    create(\n      unique_index(\n        :hidden_reuser_alerts,\n        [:contact_id, :dataset_id, :check_type, :resource_id, :discussion_id],\n        name: :hidden_reuser_alerts_unique_index\n      )\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20260122180704_create_dataset_subtype.exs",
    "content": "defmodule DB.Repo.Migrations.CreateDatasetSubtype do\n  use Ecto.Migration\n\n  def change do\n    create table(:dataset_subtype) do\n      add(:parent_type, :string, null: false)\n      add(:slug, :string, null: false)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n\n    create(unique_index(:dataset_subtype, [:parent_type, :slug]))\n\n    create table(:dataset_dataset_subtype, primary_key: false) do\n      add(:dataset_id, references(:dataset, on_delete: :delete_all), null: false)\n      add(:dataset_subtype_id, references(:dataset_subtype, on_delete: :delete_all), null: false)\n    end\n\n    create(index(\"dataset_dataset_subtype\", [:dataset_id]))\n    create(index(\"dataset_dataset_subtype\", [:dataset_subtype_id]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20260126155921_allow_netex_to_geojson_conversion.exs",
    "content": "defmodule DB.Repo.Migrations.AllowNeTExToGeoJSONConversion do\n  use Ecto.Migration\n\n  def up do\n    drop(constraint(\"data_conversion\", :allowed_from_formats))\n    create(constraint(\"data_conversion\", :allowed_from_formats, check: \"convert_from IN ('GTFS', 'NeTEx')\"))\n  end\n\n  def down do\n    drop(constraint(\"data_conversion\", :allowed_from_formats))\n    create(constraint(\"data_conversion\", :allowed_from_formats, check: \"convert_from IN ('GTFS')\"))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20260205144049_rename_irve_valid_file_columns.exs",
    "content": "defmodule DB.Repo.Migrations.RenameIrveValidFileColumns do\n  use Ecto.Migration\n\n  def change do\n    # Rename columns to use consistent naming convention\n    rename(table(:irve_valid_file), :dataset_datagouv_id, to: :datagouv_dataset_id)\n    rename(table(:irve_valid_file), :resource_datagouv_id, to: :datagouv_resource_id)\n\n    # Update the unique index to use the new column name\n    rename(\n      index(:irve_valid_file, [:datagouv_resource_id, :checksum],\n        name: \"irve_valid_file_resource_datagouv_id_checksum_index\"\n      ),\n      to: \"irve_valid_file_datagouv_resource_id_checksum_index\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20260209120000_add_missing_fields_to_irve_valid_file.exs",
    "content": "defmodule DB.Repo.Migrations.AddMissingFieldsToIrveValidFile do\n  use Ecto.Migration\n\n  def change do\n    alter table(:irve_valid_file) do\n      add(:dataset_title, :string)\n      add(:datagouv_organization_or_owner, :string)\n      add(:datagouv_last_modified, :utc_datetime)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20260311000000_create_company.exs",
    "content": "defmodule DB.Repo.Migrations.CreateCompany do\n  use Ecto.Migration\n\n  def change do\n    create table(:company) do\n      add(:siren, :string, primary_key: true)\n      add(:nom_complet, :string)\n      add(:nom_raison_sociale, :string)\n      add(:sigle, :string)\n      add(:date_mise_a_jour_rne, :date)\n      add(:siege_adresse, :string)\n      add(:siege_latitude, :float)\n      add(:siege_longitude, :float)\n      add(:collectivite_territoriale, :map)\n      add(:est_service_public, :boolean)\n\n      timestamps(type: :utc_datetime_usec)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/20260317000001_resource_related_unique_index.exs",
    "content": "defmodule DB.Repo.Migrations.ResourceRelatedUniqueIndexSrcDstReason do\n  use Ecto.Migration\n\n  def change do\n    create(unique_index(:resource_related, [:resource_src_id, :resource_dst_id, :reason]))\n  end\nend\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/sql/autocomplete_add_dataset.sql",
    "content": "DROP TRIGGER refresh_autocomplete_trigger ON administrative_division|\nDROP TRIGGER refresh_autocomplete_trigger ON offer|\n\nDROP FUNCTION refresh_autocomplete|\n\nDROP MATERIALIZED VIEW autocomplete|\n\nCREATE MATERIALIZED VIEW autocomplete AS\nSELECT nom, place_id, type, indexed_name\nFROM\n(\n    (\n      SELECT\n        ad.nom AS nom,\n        ad.insee AS place_id,\n        ad.type AS type,\n        unaccent(replace(ad.nom, ' ', '-')) AS indexed_name\n      FROM administrative_division ad\n      WHERE ad.type in ('commune', 'epci', 'departement', 'region')\n    )\n    UNION\n    (\n      SELECT features AS nom,\n      features AS place_id,\n      'feature' AS type,\n      unaccent(replace(features, ' ', '-')) AS indexed_name\n      FROM (\n        -- GTFS Transport validator\n        select distinct unnest(features) features\n        from resource_metadata rm\n        inner join multi_validation mv on mv.id = rm.multi_validation_id\n        where mv.validator in ('GTFS transport-validator')\n\n        union\n        -- GTFS-RT validation\n        select distinct unnest(features) features\n        from resource_metadata rm\n        join resource r on r.id = rm.resource_id and r.format = 'gtfs-rt'\n      ) as features\n    )\n    UNION\n    (\n      SELECT modes AS nom,\n      modes AS place_id,\n      'mode' AS type,\n      unaccent(replace(modes, ' ', '-')) AS indexed_name\n      FROM (\n      SELECT DISTINCT(UNNEST(modes)) as modes FROM resource_metadata\n      ) as modes\n    )\n    UNION\n    (\n      SELECT nom_commercial AS nom,\n      identifiant_offre::varchar as place_id,\n      'offer' AS type,\n      unaccent(replace(nom_commercial, ' ', '-')) AS indexed_name\n      FROM offer\n    )\n    UNION\n    (\n      SELECT r.format AS nom,\n      r.format as place_id,\n      'format' AS type,\n      unaccent(replace(r.format, ' ', '-')) AS indexed_name\n      FROM resource r\n      JOIN dataset d on d.id = r.dataset_id and d.is_active\n      WHERE r.format IS NOT NULL\n      GROUP BY r.format\n      HAVING count(1) >= 5\n    )\n    UNION(\n      SELECT\n        custom_title AS nom,\n        slug as place_id,\n        'dataset' as type,\n        unaccent(replace(custom_title, ' ', '-')) AS indexed_name\n      FROM dataset\n      WHERE is_active and NOT is_hidden\n    )\n) AS place\nWITH DATA\n|\n\nCREATE INDEX indexed_name_index ON autocomplete USING GIN(indexed_name gin_trgm_ops)|\n\nCREATE OR REPLACE FUNCTION refresh_autocomplete()\nRETURNS trigger AS $$\nBEGIN\n  REFRESH MATERIALIZED VIEW autocomplete;\n  RETURN NULL;\nEND;\n$$ LANGUAGE plpgsql|\n\n\nCREATE TRIGGER refresh_autocomplete_trigger\nAFTER INSERT OR UPDATE OR DELETE\nON administrative_division\nFOR EACH STATEMENT\nEXECUTE PROCEDURE refresh_autocomplete()|\n\n\nCREATE TRIGGER refresh_autocomplete_trigger\nAFTER INSERT OR UPDATE OR DELETE\nON offer\nFOR EACH STATEMENT\nEXECUTE PROCEDURE refresh_autocomplete()|\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/sql/autocomplete_add_format.sql",
    "content": "DROP TRIGGER refresh_autocomplete_trigger ON administrative_division|\nDROP TRIGGER refresh_autocomplete_trigger ON offer|\n\nDROP FUNCTION refresh_autocomplete|\n\nDROP MATERIALIZED VIEW autocomplete|\n\nCREATE MATERIALIZED VIEW autocomplete AS\nSELECT nom, place_id, type, indexed_name\nFROM\n(\n    (\n      SELECT\n        ad.nom AS nom,\n        ad.insee AS place_id,\n        ad.type AS type,\n        unaccent(replace(ad.nom, ' ', '-')) AS indexed_name\n      FROM administrative_division ad\n      WHERE ad.type in ('commune', 'epci', 'departement', 'region')\n    )\n    UNION\n    (\n      SELECT features AS nom,\n      features AS place_id,\n      'feature' AS type,\n      unaccent(replace(features, ' ', '-')) AS indexed_name\n      FROM (\n        -- GTFS Transport validator\n        select distinct unnest(features) features\n        from resource_metadata rm\n        inner join multi_validation mv on mv.id = rm.multi_validation_id\n        where mv.validator in ('GTFS transport-validator')\n\n        union\n        -- GTFS-RT validation\n        select distinct unnest(features) features\n        from resource_metadata rm\n        join resource r on r.id = rm.resource_id and r.format = 'gtfs-rt'\n      ) as features\n    )\n    UNION\n    (\n      SELECT modes AS nom,\n      modes AS place_id,\n      'mode' AS type,\n      unaccent(replace(modes, ' ', '-')) AS indexed_name\n      FROM (\n      SELECT DISTINCT(UNNEST(modes)) as modes FROM resource_metadata\n      ) as modes\n    )\n    UNION\n    (\n      SELECT nom_commercial AS nom,\n      identifiant_offre::varchar as place_id,\n      'offer' AS type,\n      unaccent(replace(nom_commercial, ' ', '-')) AS indexed_name\n      FROM offer\n    )\n    UNION\n    (\n      SELECT r.format AS nom,\n      r.format as place_id,\n      'format' AS type,\n      unaccent(replace(r.format, ' ', '-')) AS indexed_name\n      FROM resource r\n      JOIN dataset d on d.id = r.dataset_id and d.is_active\n      WHERE r.format IS NOT NULL\n      GROUP BY r.format\n      HAVING count(1) >= 5\n    )\n) AS place\nWITH DATA\n|\n\nCREATE INDEX indexed_name_index ON autocomplete USING GIN(indexed_name gin_trgm_ops)|\n\nCREATE OR REPLACE FUNCTION refresh_autocomplete()\nRETURNS trigger AS $$\nBEGIN\n  REFRESH MATERIALIZED VIEW autocomplete;\n  RETURN NULL;\nEND;\n$$ LANGUAGE plpgsql|\n\n\nCREATE TRIGGER refresh_autocomplete_trigger\nAFTER INSERT OR UPDATE OR DELETE\nON administrative_division\nFOR EACH STATEMENT\nEXECUTE PROCEDURE refresh_autocomplete()|\n\n\nCREATE TRIGGER refresh_autocomplete_trigger\nAFTER INSERT OR UPDATE OR DELETE\nON offer\nFOR EACH STATEMENT\nEXECUTE PROCEDURE refresh_autocomplete()|\n"
  },
  {
    "path": "apps/transport/priv/repo/migrations/sql/places_rename_autocomplete.sql",
    "content": "ALTER MATERIALIZED VIEW places RENAME TO autocomplete|\n\nDROP TRIGGER IF EXISTS refresh_places_trigger ON administrative_division|\nDROP TRIGGER IF EXISTS refresh_places_trigger ON offer|\n\nDROP FUNCTION refresh_places|\n\n\nCREATE OR REPLACE FUNCTION refresh_autocomplete()\nRETURNS trigger AS $$\nBEGIN\n  REFRESH MATERIALIZED VIEW autocomplete;\n  RETURN NULL;\nEND;\n$$ LANGUAGE plpgsql|\n\n\nCREATE TRIGGER refresh_autocomplete_trigger\nAFTER INSERT OR UPDATE OR DELETE\nON administrative_division\nFOR EACH STATEMENT\nEXECUTE PROCEDURE refresh_autocomplete()|\n\n\nCREATE TRIGGER refresh_autocomplete_trigger\nAFTER INSERT OR UPDATE OR DELETE\nON offer\nFOR EACH STATEMENT\nEXECUTE PROCEDURE refresh_autocomplete()|"
  },
  {
    "path": "apps/transport/priv/search_custom_messages.yml",
    "content": "# for each message, specify:\n#  - a category name (for humans)\n#  - the list of search params to match to be considered in that category\n#  - messages in both French and English.\n\n# Category order is important, as the first matching category gets displayed.\n\n# Special case: queries with modes\n# for example: https://transport.data.gouv.fr/datasets?modes[]=ferry\n# the corresponding yaml is:\n# search_params:\n#   - key: modes\n#     value:\n#       - ferry\n\n- category: public-transit\n  search_params:\n    - key: type\n      value: public-transit\n  msg:\n    fr: |\n        Les jeux de données référencés dans cette catégorie contiennent des informations permettant de décrire les réseaux de transports en commun.\n\n        Ils nous renseignent notamment sur la position des arrêts, les parcours, les horaires de passage des véhicules.\n\n        Voici ci-dessous les standards et normes référencés :\n        - [GTFS](https://gtfs.org/fr/documentation/overview/)/[GTFS-RT](https://gtfs.org/fr/documentation/realtime/reference/) et [NeTEx](https://normes.transport.data.gouv.fr/)/[SIRI](https://normes.transport.data.gouv.fr/normes/siri/profil-france/) pour les données routières, ferroviaires, maritimes et fluviaux.\n        - [SSIM de IATA](https://www.iata.org/en/publications/manuals/standard-schedules-information/) pour le transport aérien et les plans de vols.\n    en: |\n        The datasets referenced in this category contain information for describing public transport networks.\n\n        They inform us in particular about the position of the stops, the routes, the times of passage of the vehicles.\n\n        The following standards can be used:\n        - [GTFS](https://gtfs.org/fr/documentation/overview/)/[GTFS-RT](https://gtfs.org/fr/documentation/realtime/reference/) and [NeTEx](https://normes.transport.data.gouv.fr/)/[SIRI](https://normes.transport.data.gouv.fr/normes/siri/profil-france/) for road, rail, maritime, and river data.\n        - [SSIM de IATA](https://www.iata.org/en/publications/manuals/standard-schedules-information/) for air transport and flight plans.\n\n- category: road-data\n  search_params:\n    - key: type\n      value: road-data\n  msg:\n    fr: |\n        Les jeux de données de cette catégories décrivent les stationnement hors voirie et le réseau routier.\n\n        **Stationnement hors voirie :**\n        Les données concernant le stationnement hors voirie en France sont produites par différentes collectivités et gestionnaires de parking.\n\n        Ces données, lorsqu’elles sont normalisées, sont assemblées et consolidées dans un jeu de données national : [la Base Nationale des Lieux de Stationnement (BNLS)](https://transport.data.gouv.fr/datasets/base-nationale-des-lieux-de-stationnement/).\n\n        **Réseau routier :**\n        Les jeux de données de cette catégorie décrivent le réseau routier et son état en temps réel (trafic, travaux, événements…).\n\n        À ce jour, les seules informations disponibles de manière ouverte portent sur le réseau routier principal (autoroutes et routes nationales).\n    en: |\n        The datasets in this category describe off-street parking and the road network.\n\n        **Off-street Parking:**\n        Data concerning off-street parking in France is produced by various local authorities and parking managers.\n\n        This data, when standardized, is assembled and consolidated into a national dataset: [the National Parking Location Database (BNLS)](https://transport.data.gouv.fr/datasets/base-nationale-des-lieux-de-stationnement/).\n\n        **Road Network:**\n        The datasets in this category describe the road network and its real-time status (traffic, roadworks, events, etc.).\n\n        To date, the only openly available information concerns the main road network (motorways and national roads).\n\n- category: locations\n  search_params:\n    - key: type\n      value: locations\n  msg:\n    fr: |\n      Cette catégorie regroupe des jeux de données décrivant des lieux d'intérêts relatifs à la mobilité comme les descriptions ou la position des arrêts de transports et gares.\n\n      Les données d’adresses françaises sont disponibles dans le jeu de données de la [Base Adresse Nationale (BAN)](https://transport.data.gouv.fr/datasets/base-adresse-nationale/) qui a vocation à réunir **l’ensemble des adresses géolocalisées du territoire national**.\n    en: |\n      This category includes datasets describing places of interest relating to mobility, such as descriptions or positions of transport stops and stations.\n\n      French address data is available in the [National Address Base (BAN) dataset](https://transport.data.gouv.fr/datasets/base-adresse-nationale/?locale=en), which aims to bring together all the geolocated addresses of the national territory.\n\n\n- category: private-parking\n  search_params:\n    - key: type\n      value: private-parking\n  msg:\n    fr: |\n        Les données concernant le stationnement hors-voirie en France sont produites par différentes collectivités et gestionnaires de parking.\n\n        Ces données, lorsqu’elles sont normalisées, sont assemblées et consolidées dans un jeu de données national : [la Base Nationale des Lieux de Stationnement (BNLS)](https://transport.data.gouv.fr/datasets/base-nationale-des-lieux-de-stationnement/).\n\n        Cette base ne référence que les parkings accessibles au public dont l’accès est limité par une barrière ; certaines bases locales référencées ici ont une définition plus larges et comprennent des parkings pour lesquelles l’accès est libre, sans barrière.\n\n    en: |\n        This category aims to describe the location of car-parks across France, and provide general traveller information (such as access information or an estimate of parking fees for each car-park).\n\n        Data for private car-parks in France are produced by different local authorities or parking operators.\n\n        These data, when published in a normalized format described [here](https://schema.data.gouv.fr/etalab/schema-stationnement/latest.html), are aggregated into a national dataset called [Base Nationale des Lieux de Stationnement (BNLS)](https://transport.data.gouv.fr/datasets/base-nationale-des-lieux-de-stationnement/).\n\n        This dataset only describes parking spaces accessible to the general public, with barrier entrance. Other datasets referenced here can have a broader definition and might include freely accessible car-parks, (ie. with no entrance barrier), in addition to the parking spaces with barrier entrance included in the “Base Nationale des Lieux de Stationnement” (BNLS).\n\n- category: carpooling-areas\n  search_params:\n    - key: type\n      value: carpooling-areas\n  msg:\n    fr: |\n        Les jeux de données de cette catégorie décrivent les lieux de covoiturage en France.\n\n        Ces données respectent le [schéma national des aires de covoiturage](https://schema.data.gouv.fr/etalab/schema-lieux-covoiturage/).\n\n        Une [base nationale des lieux de covoiturage (BNLC)](https://transport.data.gouv.fr/datasets/base-nationale-des-lieux-de-covoiturage) est disponible. Elle respecte le schéma et est mise à jour par l’équipe du Point d’Accès National à partir des données conformes publiées sur data.gouv.fr.\n\n    en: |\n        The datasets in this category describe carpooling areas in France.\n\n        These data comply with the [national schema for carpooling areas](https://schema.data.gouv.fr/etalab/schema-lieux-covoiturage/).\n\n        A [national database](https://transport.data.gouv.fr/datasets/base-nationale-des-lieux-de-covoiturage) is available. It complies with the scheme and is updated by the NAP team using compliant data published on data.gouv.fr.\n\n- category: carpooling-lines\n  search_params:\n    - key: type\n      value: carpooling-lines\n  msg:\n    fr: |\n        Les jeux de données de cette catégorie décrivent les lignes de covoiturage en France.\n\n    en: |\n        The datasets in this category describe carpooling lines in France.\n\n- category: carpooling-offers\n  search_params:\n    - key: type\n      value: carpooling-offers\n  msg:\n    fr: |\n        Les jeux de données de cette catégorie décrivent les offres de covoiturage planifiées du quotidien en France.\n\n        Les données respectent le [standard-covoiturage](https://github.com/fabmob/standard-covoiturage/).\n\n    en: |\n        The datasets in this category describe daily scheduled carpooling offers in France.\n\n        These data comply with the [standard-covoiturage](https://github.com/fabmob/standard-covoiturage/).\n\n- category: vehicles-sharing\n  search_params:\n    - key: type\n      value: vehicles-sharing\n  msg:\n    fr: |\n        Les jeux de données référencés dans cette catégorie contiennent des flux d’information décrivant des flottes de vélos, de trottinettes, de deux-roues motorisés ou de voitures en libre service, en station ou en freefloating.\n\n        Ces données sont disponibles en temps réel pour connaître la position des véhicules ou le taux de remplissage des stations.\n\n        Le standard utilisé est le [GBFS](https://gbfs.org/fr/documentation/).\n\n    en: |\n        The datasets referenced in this category contain information flows describing fleets of bicycles, scooters, motorized two-wheelers or self-service cars, in stations or free-floating.\n\n        These data are available in real time to know the position of vehicles or the filling rate of stations.\n\n        The standard used is [GBFS](https://gbfs.org/documentation/).\n\n- category: car-motorbike-sharing\n  search_params:\n    - key: type\n      value: car-motorbike-sharing\n  msg:\n    fr: |\n        Les jeux de données référencés dans cette catégorie contiennent des flux d’information décrivant des flottes de voitures ou de deux-roues motorisés en libre service, en station ou en free-floating.\n\n        Ces données sont disponibles en temps réel pour connaître la position des véhicules ou le taux de remplissage des stations.\n\n        Le standard utilisé est le [GBFS à partir de la v2.3](https://gbfs.mobilitydata.org).\n\n    en: |\n        The datasets referenced in this category contain information flows describing fleets of self-service cars or motobikes in stations or in free floating.\n\n        These data are available in real-time and inform about the position of vehicles or the filling rate of stations.\n\n        The standard used is [GBFS from v2.3](https://gbfs.mobilitydata.org).\n\n- category: charging-stations\n  search_params:\n    - key: type\n      value: charging-stations\n  msg:\n    fr: |\n        Les jeux de données de cette catégorie décrivent les stations de réapprovisionnement de véhicules : stations essence, GNV ou bornes de recharge électriques.\n\n        Concernant les bornes, ces données respectent le [schéma national des infrastructures de recharge pour véhicules électriques (IRVE)](https://schema.data.gouv.fr/etalab/schema-irve/).\n\n        La Base Nationale des IRVE regroupe l'ensemble des données publiées conformes au schéma v2 dans une base nationale. En mai 2023, elle regroupe 80 000 bornes sur les 100 000 bornes installées en France.\n\n\n    en: |\n        The datasets in this category describe gas, CNG and electric vehicle charging stations.\n\n        Electric vehicle charging stations data comply with the [national schema for recharging infrastructure for electric vehicles (IRVE)](https://schema.data.gouv.fr/etalab/schema-irve/).\n\n        The National IRVE database brings together all the published data in accordance with the v2 schema in a national database. In May 2023, it includes 80,000 terminals out of the 100,000 terminals installed in France.\n\n- category: rail\n  search_params:\n    - key: modes\n      value:\n        - rail\n  msg:\n    fr: |\n        Cette catégorie contient les données de transports en commun décrivant l’offre de transport des réseaux ferrés nationaux et régionaux.\n\n        Deux standards de données peuvent être utilisés : le format [GTFS](https://developers.google.com/transit/gtfs?hl=fr) ou le format [NeTEx](http://netex-cen.eu/).\n\n\n    en: |\n        This category contains public transport data describing the transport offer of national and regional rail networks.\n\n        Two data standards can be used: the [GTFS format](https://developers.google.com/transit/gtfs) or the [NeTEx format](http://netex-cen.eu/).\n\n- category: ferry\n  search_params:\n    - key: modes\n      value:\n        - ferry\n  msg:\n    fr: |\n        Les jeux de données cette catégorie décrivent l’offre de transport de réseaux maritimes et fluviaux.\n\n        Deux standards de données peuvent être utilisés : le format [GTFS](https://developers.google.com/transit/gtfs?hl=fr) ou le format [NeTEx](http://netex-cen.eu/).\n\n    en: |\n        This category contains public transport data describing the transport offer of national and regional rail networks.\n\n        Two data standards can be used: the [GTFS format](https://developers.google.com/transit/gtfs) or the [NeTEx format](http://netex-cen.eu/).\n\n- category: bike-data\n  search_params:\n    - key: type\n      value: bike-data\n  msg:\n    fr: |\n        Les jeux de données de cette catégorie décrivent les stationnements et réseaux cyclables en France.\n\n        **Stationnement cyclable :**\n        Tous les équipements (arceaux, racks, box…) destinés à être utilisés pour stationner des vélos peuvent être représentés selon le [Schéma national pour le stationnement cyclable](https://schema.data.gouv.fr/etalab/schema-stationnement-cyclable/).\n\n        Une base nationale extraite d’[OpenStreetMap](https://www.openstreetmap.org/) par [GéoDataMine](https://geodatamine.fr/) respectant le schéma national [est disponible](https://transport.data.gouv.fr/datasets/stationnements-cyclables-issus-dopenstreetmap/).\n\n        **Réseau cyclable :**\n        Tous les aménagements (pistes, bandes, voies vertes, vélo rue…) destinés à être empruntés par des vélos peuvent être représentés selon le [Schéma national d'aménagements cyclables](https://schema.data.gouv.fr/etalab/schema-amenagements-cyclables/latest.html).\n\n        Une base nationale extraite d’[OpenStreetMap](https://www.openstreetmap.org/) par [Géovélo](https://geovelo.app/fr/) respectant le schéma national [est disponible](https://transport.data.gouv.fr/datasets/amenagements-cyclables-france-metropolitaine/).\n\n    en: |\n        The datasets in this category describe bicycle parking and networks in France.\n\n        **Bicycle Parking:**\n        All equipment (racks, poles, boxes, etc.) intended for bicycle parking can be represented according to the [National Scheme for Bicycle Parking](https://schema.data.gouv.fr/etalab/schema-stationnement-cyclable/).\n\n        A national database extracted from [OpenStreetMap](https://www.openstreetmap.org/) by [GéoDataMine](https://geodatamine.fr/) adhering to the national scheme [is available](https://transport.data.gouv.fr/datasets/stationnements-cyclables-issus-dopenstreetmap/).\n\n        **Cycle Network:**\n        All facilities (tracks, lanes, greenways, cycleways, etc.) intended for use by bicycles can be represented according to the [National Cycle Development Plan](https://schema.data.gouv.fr/etalab/schema-amenagements-cyclables/latest.html).\n\n        A national database extracted from [OpenStreetMap](https://www.openstreetmap.org/) by [Géovélo](https://geovelo.app/fr/) adhering to the national plan [is available](https://transport.data.gouv.fr/datasets/amenagements-cyclables-france-metropolitaine/).\n"
  },
  {
    "path": "apps/transport/priv/zfe_ids.csv",
    "content": "siren;code;epci_principal;autres_siren;forme_juridique\n248000531;AMIENS;Amiens Métropole;;Métropole\n244900015;ANGERS;Angers Loire Métropole;;Métropole\n200066793;ANNECY;Grand Annecy;;Communauté d'agglomération\n200011773;ANNEMASSE;Annemasse agglo;;Communauté d'agglomération\n248400251;AVIGNON;Grand Avignon;;Métropole\n200067106;BAYONNE;Communauté d'agglomération du Pays Basque;;Communauté d'agglomération\n200072460;BETHUNE;Communauté d'agglomération de Béthune-Bruay;;Communauté d'agglomération\n243300316;BORDEAUX;Bordeaux Métropole;;Métropole\n242900314;BREST;Brest métropole;;Métropole\n200051183;CAEN;Caen Normandie Métropole;;Métropole\n200069110;CHAMBERY;Grand Chambéry;;Métropole\n246300701;CLERMONT-FERRAND;Clermont Auvergne métropole;;Métropole\n242100410;DIJON;Dijon Métropole;;Métropole\n246200364;DOUAI-LENS;Communauté d'agglomération de Lens-Lievin;;Communauté d'agglomération\n245900428;DUNKERQUE;Communauté Urbaine de Dunkerque;;Communauté urbaine\n253800825;GRENOBLE;Grenoble Alpes métropole;;Métropole\n200084952;LE HAVRE;Le Havre Seine Métropole;;Métropole\n247200132;LE MANS;Le Mans Métropole;;Métropole\n200093201;LILLE;Métropole Européenne de Lille;;Métropole\n248719312;LIMOGES;Limoges Métropole;;Métropole\n200046977;LYON;Métropole de Lyon;256900994;Métropole\n200054807;MARSEILLE-AIX EN PROVENCE;Métropole Aix-Marseille-Provence;;Métropole\n200039865;METZ;Metz Métropole;;Métropole\n243400017;MONTPELLIER;Montpellier Méditerranée Métropole;;Métropole\n200066009;MULHOUSE;Mulhouse Alsace Agglomération;;Communauté d'agglomération\n245400676;NANCY;Métropole du Grand Nancy;;Métropole\n244400404;NANTES;Métropole Nantes Métropole;;Métropole\n200030195;NICE;Métropole Nice Côte d'Azur;;Métropole\n243000643;NIMES;Nîmes métropole;;Métropole\n244500468;ORLEANS;Orléans métropole;;Métropole\n217500016;PARIS;Ville de Paris;;Autre collectivité territoriale\n200067254;PAU;Agglomération de Pau Béarn Pyrénées;;Métropole\n200027183;PERPIGNAN;Perpignan méditerranée métropole;;Métropole\n200067213;REIMS;Grand Reims;;Métropole\n243500139;RENNES;Rennes métropole;;Métropole\n200023414;ROUEN;Métropole Rouen Normandie;;Métropole\n214401846;SAINT-NAZAIRE;Commune de Saint-Nazaire;;Commune\n244200770;SAINT-ETIENNE;Saint-Étienne Métropole;;Métropole\n246700488;STRASBOURG;Eurométropole de Strasbourg;;Métropole\n248300543;TOULON;Métropole Toulon Provence Méditerranée;;Métropole\n243100518;TOULOUSE;Toulouse Métropole;253100986;Métropole\n243700754;TOURS;Tours Métropole Val de Loire;200085108;Métropole\n245901160;VALENCIENNES;Valenciennes métropole;;Métropole\n"
  },
  {
    "path": "apps/transport/test/build_test.exs",
    "content": "defmodule TransportWeb.BuildTest do\n  use ExUnit.Case\n  import ExUnit.CaptureIO\n\n  def tool_versions do\n    File.read!(\"../../.tool-versions\")\n  end\n\n  def asdf_elixir_version do\n    [[_, version]] = Regex.scan(~r/elixir (\\d+\\.\\d+\\.\\d+)/, tool_versions())\n    version\n  end\n\n  def asdf_erlang_version(return_full_version \\\\ false) do\n    [[_, full_version, major_version]] = Regex.scan(~r/^erlang ((\\d+)\\..*$)/m, tool_versions())\n\n    if return_full_version do\n      full_version\n    else\n      major_version\n    end\n  end\n\n  def asdf_nodejs_release do\n    [[_, version]] = Regex.scan(~r/nodejs (\\d+\\.\\d+\\.\\d+)/, tool_versions())\n    version\n  end\n\n  # Skip next test on Mac M1, where it will always (currently) fail\n  # See https://github.com/etalab/transport-site/issues/2520\n  if Transport.Platform.apple_silicon?(), do: @tag(:pending)\n\n  test \"rambo rust wrapper compiles and runs\" do\n    {:ok, %{out: \"hello\\n\"}} = Rambo.run(\"echo\", [\"hello\"])\n  end\n\n  test \"rambo remains on hex version (not the ARM-compatible fork)\" do\n    # NOTE: on ARM architecture (e.g. Mac M1 etc), a local commit can alter `mix.lock`,\n    # and we want to detect cases where this happens. See:\n    # https://github.com/etalab/transport-site/issues/3820\n    # The test has to take the git-stored version of `mix.lock` and assert on its content,\n    # because the CI doesn't run ARM and `mix deps.get` will overwrite `mix.lock` at the moment\n    {output, 0} = System.cmd(\"git\", [\"show\", \"HEAD:../../mix.lock\"])\n    {{%{rambo: rambo}, []}, _log} = with_io(:stderr, fn -> Code.eval_string(output) end)\n\n    # if this test fails, it may be because someone with a Mac M1 unintentionally committed `mix.lock` change\n    # related to a Rambo-tweak, see https://github.com/etalab/transport-site/blob/61eabf185e71b7670e5d750048714636f85c5e58/apps/transport/mix.exs#L99-L111\n    assert rambo |> elem(0) == :hex\n  end\n\n  test \"make sure Elixir version is same for asdf & CI\" do\n    assert System.version() == asdf_elixir_version()\n  end\n\n  test \"make sure major OTP version is same for asdf & CI\" do\n    assert System.otp_release() == asdf_erlang_version()\n  end\n\n  test \"make sure full OTP version is same for asdf & Docker image\" do\n    # NOTE: the previous tests only check the major + minor (24.0), not the build version (24.0.3)\n    # Getting the build version of OTP is tricky, but useful because in the past, we had differences.\n    # We really want to have the same version as much as possible to avoid complicated debugging stories.\n    content = File.read!(\"../../Dockerfile\")\n    [[_, production_version]] = Regex.scan(~r/FROM.*erlang\\-([\\d\\.]+)/, content)\n\n    assert asdf_erlang_version(true) == production_version\n  end\n\n  test \"make sure NodeJS version is same for asdf & CI\" do\n    {output, 0} = System.cmd(\"node\", [\"--version\"])\n    assert output |> String.trim() == \"v\" <> asdf_nodejs_release()\n  end\n\n  test \"make sure Docker image is same for production & CI\" do\n    content = File.read!(\"../../Dockerfile\")\n    [[_, production_version]] = Regex.scan(~r/FROM (ghcr.*)/, content)\n\n    content = File.read!(\"../../Dockerfile.dev\")\n    [[_, docker_compose_version]] = Regex.scan(~r/FROM (ghcr.*)/, content)\n\n    content = File.read!(\"../../.github/workflows/test.yml\")\n    [[_, ci_version]] = Regex.scan(~r/(ghcr.*)/, content) |> Enum.uniq()\n\n    assert ci_version == production_version\n    assert ci_version == docker_compose_version\n  end\n\n  def js_out_of_date_message(dep) do\n    \"Your javascript package for #{dep} is out of date.\\nPlease update it with:\\n\\ncd apps/transport/client && yarn upgrade #{dep}\"\n  end\n\n  test \"make sure configured _impl and _client modules exist in config.exs\" do\n    # Read config.exs directly to get the production modules (not the test mocks)\n    config_content = File.read!(\"../../config/config.exs\")\n\n    # Extract all _impl and _client configurations with their module values\n    # Pattern matches lines like: key_impl: Module.Name or key_client: Module.Name,\n    modules =\n      Regex.scan(~r/(\\w+(?:_impl|_client)):\\s+([A-Z][\\w.]+)/, config_content)\n      |> Enum.map(fn [_, config_key, module_string] ->\n        {config_key, String.to_atom(\"Elixir.\" <> module_string)}\n      end)\n\n    # Sanity check: ensure we found some configurations\n    assert length(modules) > 15,\n           \"Expected to find more than 15 _impl/_client configurations, found #{length(modules)}\"\n\n    for {config_key, module} <- modules do\n      assert Code.ensure_loaded?(module),\n             \"Module #{inspect(module)} configured for #{config_key} in config.exs does not exist\"\n    end\n  end\n\n  # figuring out you have forgotten to upgrade the assets can be tricky, so we add a little reminder here\n  test \"make sure LiveView client assets are up to date\" do\n    {output, 0} = System.cmd(\"yarn\", [\"list\", \"--pattern\", \"phoenix_live_view\"], cd: \"client\")\n    [[_, version]] = Regex.scan(~r/@(\\d+\\.\\d+\\.\\d+)/, output)\n\n    expected_version = Application.spec(:phoenix_live_view, :vsn)\n\n    assert(\n      version == expected_version |> to_string(),\n      js_out_of_date_message(:phoenix_live_view)\n    )\n\n    # extra fix for https://github.com/etalab/transport-site/issues/1938\n    # problem appears only locally, so probably linked to webpack or similar\n    lock_file =\n      \"#{__DIR__}/../client/yarn.lock\"\n      |> File.read!()\n      |> String.replace(\"\\n\", \"\")\n\n    [\n      [_, \"phoenix\", phoenix_yarn_version],\n      [_, \"phoenix_html\", phoenix_html_yarn_version],\n      [_, \"phoenix_live_view\", phoenix_yarn_live_view_version]\n    ] = Regex.scan(~r/deps\\/(phoenix_html|phoenix_live_view|phoenix)\":  version \"([^\"]+)\"/, lock_file)\n\n    assert phoenix_yarn_version == :phoenix |> Application.spec(:vsn) |> to_string(), js_out_of_date_message(:phoenix)\n\n    assert phoenix_html_yarn_version == :phoenix_html |> Application.spec(:vsn) |> to_string(),\n           js_out_of_date_message(:phoenix_html)\n\n    assert phoenix_yarn_live_view_version == :phoenix_live_view |> Application.spec(:vsn) |> to_string(),\n           js_out_of_date_message(:phoenix_live_view)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/datagouvfr/client/api_test.exs",
    "content": "defmodule Datagouvfr.Client.APITest do\n  # Need to be async: false because we swap application config in a test\n  use ExUnit.Case, async: false\n  @moduletag :datagouvfr\n  doctest Datagouvfr.Client.API, import: true\n\n  import Datagouvfr.ApiFixtures\n  import Mox\n\n  alias Datagouvfr.Client.API\n\n  setup :verify_on_exit!\n\n  @data_containing_1_element [\"data_containing_1_element #1\"]\n  @data_containing_2_elements [\"data_containing_2_elements #1\", \"data_containing_2_elements #2\"]\n\n  setup do\n    {:ok, bypass: Bypass.open()}\n  end\n\n  describe \"Stream a data.gouv.fr resource\" do\n    test \"when resource is NOT paginated\" do\n      resource_to_stream = \"resource\"\n\n      resource_to_stream\n      |> API.process_url()\n      |> given_request_return_only_one_page(@data_containing_1_element)\n\n      assert_stream_return_pages(resource_to_stream, [{:ok, @data_containing_1_element}])\n    end\n\n    test \"when resource is paginated\" do\n      resource_to_stream = \"resource\"\n\n      resource_to_stream\n      |> API.process_url()\n      |> given_request_return_response_with_next_page(@data_containing_2_elements)\n      |> given_request_return_response_with_next_page(@data_containing_1_element)\n      |> given_request_return_response_without_next_page(@data_containing_2_elements)\n\n      assert_stream_return_pages(resource_to_stream, [\n        {:ok, @data_containing_2_elements},\n        {:ok, @data_containing_1_element},\n        {:ok, @data_containing_2_elements}\n      ])\n    end\n\n    test \"when resource's page return an error\" do\n      resource_to_stream = \"resource\"\n\n      resource_to_stream\n      |> API.process_url()\n      |> given_request_return_response_with_next_page(@data_containing_2_elements)\n      |> given_request_return_an_error(\"error page\")\n\n      assert_stream_return_pages(\n        resource_to_stream,\n        [\n          {:ok, @data_containing_2_elements},\n          {:error, \"error page\"}\n        ]\n      )\n    end\n  end\n\n  describe \"retry mechanism on timeout\" do\n    test \"retries when there is a timeout\" do\n      path = \"foo\"\n      url = \"https://demo.data.gouv.fr/api/1/#{path}/\"\n\n      # A timeout response and then a 200 response\n      Transport.HTTPoison.Mock\n      |> expect(:request, fn :get, ^url, \"\", [], [follow_redirect: true] ->\n        {:error, %HTTPoison.Error{reason: :timeout}}\n      end)\n\n      Transport.HTTPoison.Mock\n      |> expect(:request, fn :get, ^url, \"\", [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"{}\"}}\n      end)\n\n      assert {:ok, %{}} == API.get(path)\n    end\n\n    test \"retries request up to 3 times and then gives up\" do\n      path = \"foo\"\n      url = \"https://demo.data.gouv.fr/api/1/#{path}/\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:request, 3, fn :get, ^url, \"\", [], [follow_redirect: true] ->\n        {:error, %HTTPoison.Error{reason: :timeout}}\n      end)\n\n      assert {:error, %HTTPoison.Error{reason: :timeout}} == API.get(path)\n    end\n  end\n\n  test \"the API HTTP client follows a 308 redirection\", %{bypass: bypass} do\n    http_client_mock = Application.fetch_env!(:transport, :httpoison_impl)\n    datagouvfr_site = Application.fetch_env!(:transport, :datagouvfr_site)\n\n    on_exit(fn ->\n      Application.put_env(:transport, :httpoison_impl, http_client_mock)\n      Application.put_env(:transport, :datagouvfr_site, datagouvfr_site)\n    end)\n\n    Application.put_env(:transport, :httpoison_impl, HTTPoison)\n    Application.put_env(:transport, :datagouvfr_site, \"http://localhost:#{bypass.port}\")\n\n    path = \"/foo\"\n    location_path = \"/bar\"\n\n    Bypass.expect_once(bypass, \"GET\", \"/api/1#{path}\", fn conn ->\n      conn\n      |> Plug.Conn.put_resp_header(\"location\", location_path)\n      |> Plug.Conn.resp(308, \"\")\n    end)\n\n    Bypass.expect_once(bypass, \"GET\", location_path, fn conn ->\n      Plug.Conn.resp(conn, 200, \"{}\")\n    end)\n\n    assert {:ok, %{}} == API.get(path)\n  end\n\n  defp assert_stream_return_pages(resource_to_stream, expected_pages_data) do\n    obtained_pages_data =\n      resource_to_stream\n      |> API.stream()\n      |> Stream.map(fn {response_status, %{\"data\" => data}} -> {response_status, data} end)\n      |> Enum.to_list()\n\n    assert obtained_pages_data == expected_pages_data\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/datagouvfr/client/community_resources_test.exs",
    "content": "defmodule Datagouvfr.Client.CommunityResources.APITest do\n  use ExUnit.Case, async: true\n  @moduletag :datagouvfr\n  doctest Datagouvfr.Client.CommunityResources.API\n\n  import Datagouvfr.ApiFixtures\n  import Mox\n  import ExUnit.CaptureLog\n\n  alias Datagouvfr.Client.CommunityResources.API, as: CommunityResourcesAPI\n\n  setup :verify_on_exit!\n\n  @data_containing_1_element [\"data_containing_1_element #1\"]\n  @data_containing_2_elements [\"data_containing_2_elements #1\", \"data_containing_2_elements #2\"]\n\n  describe \"Fetch community resources by dataset id\" do\n    test \"when resource is NOT paginated\" do\n      a_dataset_id = \"a_dataset_id\"\n\n      a_dataset_id\n      |> build_expected_community_resource_base_url()\n      |> given_request_return_only_one_page(@data_containing_2_elements)\n\n      a_dataset_id\n      |> CommunityResourcesAPI.get()\n      |> assert_response_is_valid_and_contains_data(@data_containing_2_elements)\n    end\n\n    test \"when resource is paginated\" do\n      a_dataset_id = \"a_dataset_id\"\n\n      a_dataset_id\n      |> build_expected_community_resource_base_url()\n      |> given_request_return_response_with_next_page(@data_containing_2_elements)\n      |> given_request_return_response_without_next_page(@data_containing_1_element)\n\n      a_dataset_id\n      |> CommunityResourcesAPI.get()\n      |> assert_response_is_valid_and_contains_data(@data_containing_2_elements ++ @data_containing_1_element)\n    end\n\n    test \"when resource return a page in error\" do\n      a_dataset_id = \"a_dataset_id\"\n\n      a_dataset_id\n      |> build_expected_community_resource_base_url()\n      |> given_request_return_response_with_next_page(@data_containing_2_elements)\n      |> given_request_return_response_with_next_page(@data_containing_1_element)\n      |> given_request_return_an_error(\"community resource error\")\n\n      {res, logs} =\n        with_log(fn ->\n          a_dataset_id\n          |> CommunityResourcesAPI.get()\n        end)\n\n      res |> assert_is_an_error_response\n      assert logs =~ \"community resource error\"\n    end\n  end\n\n  defp assert_response_is_valid_and_contains_data({:ok, obtained_data}, expected_data),\n    do: assert(obtained_data == expected_data)\n\n  defp assert_is_an_error_response({:error, obtained_data}),\n    do: assert(obtained_data == [])\n\n  defp build_expected_community_resource_base_url(community_resource_id),\n    do:\n      \"/datasets/community_resources?dataset=#{community_resource_id}\"\n      |> process_url()\nend\n"
  },
  {
    "path": "apps/transport/test/datagouvfr/client/datasets_test.exs",
    "content": "defmodule Datagouvfr.Client.DatasetsTest do\n  use TransportWeb.ConnCase, async: true\n  @moduletag :datagouvfr\n  alias Datagouvfr.Client\n  alias Datagouvfr.Client.Datasets\n  import Mox\n  doctest Client\n\n  setup :verify_on_exit!\n\n  test \"get one dataset\" do\n    id = Ecto.UUID.generate()\n    slug = \"slug\" <> Ecto.UUID.generate()\n    url = \"https://demo.data.gouv.fr/api/1/datasets/#{slug}/\"\n\n    Mox.stub_with(Datagouvfr.Client.Datasets.Mock, Datagouvfr.Client.Datasets.External)\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, ^url, \"\", [], [follow_redirect: true] ->\n      {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(%{id: id})}}\n    end)\n\n    assert id == Datasets.get_id_from_url(slug)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/datagouvfr/client/discussions_test.exs",
    "content": "defmodule Datagouvfr.Client.DiscussionTest do\n  use TransportWeb.ConnCase, async: true\n  @moduletag :datagouvfr\n  alias Datagouvfr.Client.Discussions\n  import Tesla.Mock\n\n  @token_secret Ecto.UUID.generate()\n\n  setup do\n    {:ok, conn: build_conn() |> assign(:datagouv_token, OAuth2.AccessToken.new(@token_secret))}\n  end\n\n  test \"start a new discussion\", %{conn: conn} do\n    datagouv_id = Ecto.UUID.generate()\n    title = \"Test title\"\n    comment = \"Test comment\"\n\n    mock(fn %Tesla.Env{method: :post, url: \"https://demo.data.gouv.fr/api/1/discussions/\", body: body, headers: headers} ->\n      assert headers == [\n               {\"accept\", \"application/json\"},\n               {\"authorization\", \"Bearer #{@token_secret}\"},\n               {\"content-type\", \"application/json\"}\n             ]\n\n      assert Jason.decode!(body) == %{\n               \"comment\" => comment,\n               \"subject\" => %{\"class\" => \"Dataset\", \"id\" => datagouv_id},\n               \"title\" => title\n             }\n\n      json(%{\"title\" => title, \"discussion\" => [%{\"content\" => comment}]}, status: 201)\n    end)\n\n    assert {:ok, discussion} = Discussions.post(conn, datagouv_id, title, comment)\n    assert Map.get(discussion, \"title\") == title\n\n    assert discussion\n           |> Map.get(\"discussion\")\n           |> List.first()\n           |> Map.get(\"content\") == comment\n  end\n\n  test \"post a comment on a discussion\", %{conn: conn} do\n    comment = \"Test comment\"\n    api_url = \"https://demo.data.gouv.fr/api/1/discussions/#{datagouv_id = Ecto.UUID.generate()}/\"\n\n    mock(fn %Tesla.Env{method: :post, url: ^api_url, body: body, headers: headers} ->\n      assert headers == [\n               {\"accept\", \"application/json\"},\n               {\"authorization\", \"Bearer #{@token_secret}\"},\n               {\"content-type\", \"application/json\"}\n             ]\n\n      assert body == ~s({\"close\":false,\"comment\":\"#{comment}\"})\n      json(%{\"discussion\" => [%{\"content\" => comment}]})\n    end)\n\n    assert {:ok, discussion} = Discussions.post(conn, datagouv_id, comment)\n\n    assert discussion\n           |> Map.get(\"discussion\")\n           |> List.first()\n           |> Map.get(\"content\") == comment\n  end\n\n  test \"post a comment and close a discussion\", %{conn: conn} do\n    comment = \"Test comment\"\n    api_url = \"https://demo.data.gouv.fr/api/1/discussions/#{datagouv_id = Ecto.UUID.generate()}/\"\n\n    mock(fn %Tesla.Env{method: :post, url: ^api_url, body: body, headers: headers} ->\n      assert headers == [\n               {\"accept\", \"application/json\"},\n               {\"authorization\", \"Bearer #{@token_secret}\"},\n               {\"content-type\", \"application/json\"}\n             ]\n\n      assert body == ~s({\"close\":true,\"comment\":\"#{comment}\"})\n      json(%{\"discussion\" => [%{\"content\" => comment}]})\n    end)\n\n    assert {:ok, _} = Discussions.post(conn, datagouv_id, comment, close: true)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/datagouvfr/client/resources_test.exs",
    "content": "defmodule Datagouvfr.Client.ResourcesTest do\n  use ExUnit.Case, async: true\n  @moduletag :datagouvfr\n  doctest Datagouvfr.Client.Resources.External, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/datagouvfr/client/reuses_test.exs",
    "content": "defmodule Datagouvfr.Client.ReusesTest do\n  use ExUnit.Case, async: true\n  @moduletag :datagouvfr\n  alias Datagouvfr.Client.API\n  alias Datagouvfr.Client.Reuses\n  import Datagouvfr.ApiFixtures, only: [mock_httpoison_request: 3]\n  import Mox\n\n  setup :verify_on_exit!\n\n  describe \"get\" do\n    test \"with a 200\" do\n      mock_httpoison_request(\n        \"reuses\" |> API.process_url(),\n        {:ok, %HTTPoison.Response{status_code: 200, body: ~s({\"data\":[], \"owner\": null})}},\n        follow_redirect: true,\n        params: %{dataset: \"id\"}\n      )\n\n      assert {:ok, []} == Reuses.get(%{datagouv_id: \"id\"})\n    end\n\n    test \"with a server error\" do\n      mock_httpoison_request(\n        \"reuses\" |> API.process_url(),\n        {:ok, %HTTPoison.Response{status_code: 500, body: ~s({\"message\": \"Internal Server Error\"})}},\n        follow_redirect: true,\n        params: %{dataset: \"id\"}\n      )\n\n      assert {:error, ~s(Unable to get reuses of dataset id because of %{\"message\" => \"Internal Server Error\"})} ==\n               Reuses.get(%{datagouv_id: \"id\"})\n    end\n\n    test \"with a decode error\" do\n      mock_httpoison_request(\n        \"reuses\" |> API.process_url(),\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"foo\"}},\n        follow_redirect: true,\n        params: %{dataset: \"id\"}\n      )\n\n      {:error, message} = Reuses.get(%{datagouv_id: \"id\"})\n      assert String.starts_with?(message, \"Unable to get reuses of dataset id because of %Jason.DecodeError\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/administrative_division_test.exs",
    "content": "defmodule DB.AdministrativeDivisionTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  doctest DB.AdministrativeDivision, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"can save and get a territorial division\" do\n    # Don’t know in reality if it’s needed to have a changeset function\n    # We’ll never write new administrative divisions\n    # But it has proven useful to test the model behaved correctly\n    %DB.AdministrativeDivision{}\n    |> DB.AdministrativeDivision.changeset(%{\n      insee: \"13111\",\n      type_insee: \"commune_13111\",\n      type: :commune,\n      nom: \"Vauvenargues\",\n      population: 10,\n      geom: %Geo.Polygon{\n        coordinates: [\n          [\n            {55.0, 3.0},\n            {60.0, 3.0},\n            {60.0, 5.0},\n            {55.0, 5.0},\n            {55.0, 3.0}\n          ]\n        ],\n        srid: 4326,\n        properties: %{}\n      }\n    })\n    |> DB.Repo.insert()\n\n    assert %DB.AdministrativeDivision{type_insee: \"commune_13111\"} =\n             DB.AdministrativeDivision |> Ecto.Query.last() |> DB.Repo.one!()\n  end\n\n  test \"validate_type_insee_is_consistent\" do\n    changeset =\n      DB.AdministrativeDivision.changeset(%DB.AdministrativeDivision{}, %{\n        insee: \"13111\",\n        type_insee: \"commune_13111\",\n        type: :commune\n      })\n\n    refute Enum.any?(changeset.errors, fn {key, _} -> key == :type_insee end)\n\n    changeset =\n      DB.AdministrativeDivision.changeset(%DB.AdministrativeDivision{}, %{\n        # Wrong type_insee\n        type_insee: \"departement_13111\",\n        type: :commune\n      })\n\n    assert type_insee: {\"is not consistent with type and insee\", []} in changeset.errors\n  end\n\n  test \"search\" do\n    insert(:administrative_division, type: :commune, type_insee: \"commune_12345\", insee: \"12345\", nom: \"Test Commune\")\n\n    insert(:administrative_division,\n      type: :departement,\n      type_insee: \"departement_123\",\n      insee: \"123\",\n      nom: \"Test Departement\"\n    )\n\n    territoires = DB.AdministrativeDivision.load_searchable_administrative_divisions()\n\n    assert [\n             %{\n               type: :commune,\n               nom: \"Test Commune\",\n               insee: \"12345\",\n               normalized_nom: \"testcommune\"\n             },\n             %{\n               type: :departement,\n               nom: \"Test Departement\",\n               insee: \"123\",\n               normalized_nom: \"testdepartement\"\n             }\n           ] = DB.AdministrativeDivision.search(territoires, \"Test\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/contact_test.exs",
    "content": "defmodule DB.ContactTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  doctest DB.Contact, import: true\n\n  test \"can save objects in the database with relevant casts\" do\n    %{\n      first_name: \"john \",\n      last_name: \" doe\",\n      email: email = \"john@example.fr\",\n      job_title: \"Chef SIG\",\n      organization: \"Big Corp Inc\",\n      phone_number: \"06 82 22 88 03\",\n      secondary_phone_number: \"+33 1 99 00 17 45\",\n      creation_source: \"admin\"\n    }\n    |> DB.Contact.insert!()\n\n    assert %DB.Contact{\n             email: ^email,\n             first_name: \"John\",\n             job_title: \"Chef SIG\",\n             last_name: \"Doe\",\n             organization: \"Big Corp Inc\",\n             phone_number: \"+33682228803\",\n             secondary_phone_number: \"+33199001745\"\n           } = DB.Repo.one!(DB.Contact)\n\n    # Can search using `email_hash`\n    assert 1 == DB.Contact |> where([n], n.email_hash == ^email) |> DB.Repo.all() |> Enum.count()\n\n    # Cannot get rows by using the email/phone_number values, because values are encrypted\n    assert DB.Contact |> where([n], n.email == ^email) |> DB.Repo.all() |> Enum.empty?()\n    assert DB.Contact |> where([n], n.phone_number == ^\"+33682228803\") |> DB.Repo.all() |> Enum.empty?()\n    assert DB.Contact |> where([n], n.secondary_phone_number == ^\"+33199001745\") |> DB.Repo.all() |> Enum.empty?()\n\n    # Can save a contact with a `title`\n    %{sample_contact_args() | first_name: nil, last_name: nil, mailing_list_title: \"title\"}\n    |> DB.Contact.insert!()\n\n    assert 2 == DB.Contact |> DB.Repo.aggregate(:count, :id)\n  end\n\n  test \"validates and formats phone numbers\" do\n    assert %Ecto.Changeset{\n             valid?: false,\n             errors: [phone_number: {\"The string supplied did not seem to be a phone number\", []}]\n           } = DB.Contact.changeset(%DB.Contact{}, %{sample_contact_args() | phone_number: \"🤡\"})\n\n    assert %Ecto.Changeset{valid?: false, errors: [phone_number: {\"Phone number is not a possible number\", []}]} =\n             DB.Contact.changeset(%DB.Contact{}, %{sample_contact_args() | phone_number: \"999\"})\n\n    assert %Ecto.Changeset{valid?: false, errors: [phone_number: {\"Phone number is not a valid number\", []}]} =\n             DB.Contact.changeset(%DB.Contact{}, %{sample_contact_args() | phone_number: \"06 92 22 88 0\"})\n\n    assert %Ecto.Changeset{valid?: true, changes: %{phone_number: \"+33699999999\"}} =\n             DB.Contact.changeset(%DB.Contact{}, %{sample_contact_args() | phone_number: \"+33 6 99 99 99 99\"})\n\n    assert %Ecto.Changeset{valid?: true, changes: %{phone_number: \"+33699999999\"}} =\n             DB.Contact.changeset(%DB.Contact{}, %{sample_contact_args() | phone_number: \"+33.6.99.99.99.99\"})\n\n    assert %Ecto.Changeset{valid?: true, changes: %{phone_number: \"+33699999999\"}} =\n             DB.Contact.changeset(%DB.Contact{}, %{sample_contact_args() | phone_number: \"06.99.99.99.99\"})\n\n    assert %Ecto.Changeset{valid?: true, changes: %{phone_number: \"+14383898482\"}} =\n             DB.Contact.changeset(%DB.Contact{}, %{sample_contact_args() | phone_number: \"+1 (438) 389 8482\"})\n  end\n\n  test \"validates that you can fill first_name/last_name OR mailing_list_title\" do\n    assert %Ecto.Changeset{\n             valid?: false,\n             errors: [first_name: {\"You need to fill either first_name and last_name OR mailing_list_title\", []}]\n           } =\n             DB.Contact.changeset(%DB.Contact{}, %{\n               sample_contact_args()\n               | first_name: \"A\",\n                 last_name: \"B\",\n                 mailing_list_title: \"C\"\n             })\n\n    assert %Ecto.Changeset{\n             valid?: false,\n             errors: [first_name: {\"You need to fill either first_name and last_name OR mailing_list_title\", []}]\n           } =\n             DB.Contact.changeset(%DB.Contact{}, %{\n               sample_contact_args()\n               | first_name: \"A\",\n                 last_name: nil,\n                 mailing_list_title: \"C\"\n             })\n\n    assert %Ecto.Changeset{\n             valid?: false,\n             errors: [first_name: {\"You need to fill either first_name and last_name OR mailing_list_title\", []}]\n           } =\n             DB.Contact.changeset(%DB.Contact{}, %{\n               sample_contact_args()\n               | first_name: nil,\n                 last_name: \"B\",\n                 mailing_list_title: \"C\"\n             })\n\n    assert %Ecto.Changeset{\n             valid?: false,\n             errors: [first_name: {\"You need to fill first_name and last_name OR mailing_list_title\", []}]\n           } =\n             DB.Contact.changeset(%DB.Contact{}, %{\n               sample_contact_args()\n               | first_name: nil,\n                 last_name: nil,\n                 mailing_list_title: nil\n             })\n\n    assert %Ecto.Changeset{valid?: true} =\n             DB.Contact.changeset(%DB.Contact{}, %{\n               sample_contact_args()\n               | first_name: \"A\",\n                 last_name: \"B\",\n                 mailing_list_title: nil\n             })\n\n    assert %Ecto.Changeset{valid?: true} =\n             DB.Contact.changeset(%DB.Contact{}, %{\n               sample_contact_args()\n               | first_name: nil,\n                 last_name: nil,\n                 mailing_list_title: \"C\"\n             })\n  end\n\n  test \"cannot have duplicates based on email\" do\n    params = %{sample_contact_args() | email: \"foo@example.fr\"}\n\n    DB.Contact.insert!(params)\n\n    assert {:error,\n            %Ecto.Changeset{action: :insert, errors: [email: {\"has already been taken\", _}], data: _, valid?: false}} =\n             %DB.Contact{}\n             |> DB.Contact.changeset(params)\n             |> DB.Repo.insert_or_update()\n  end\n\n  test \"email is lowercased\" do\n    assert %DB.Contact{email: \"foo.bar@example.fr\"} =\n             DB.Contact.insert!(%{sample_contact_args() | email: \"foo.BAR@example.fr\"})\n  end\n\n  test \"creation_source is required and is an enum\" do\n    assert %Ecto.Changeset{valid?: false, errors: [creation_source: {\"can't be blank\", [validation: :required]}]} =\n             DB.Contact.changeset(%DB.Contact{}, %{sample_contact_args() | creation_source: nil})\n\n    assert %Ecto.Changeset{valid?: false, errors: [creation_source: {\"is invalid\", _}]} =\n             DB.Contact.changeset(%DB.Contact{}, %{sample_contact_args() | creation_source: \"foobar\"})\n\n    assert %Ecto.Changeset{valid?: true} =\n             DB.Contact.changeset(%DB.Contact{}, %{sample_contact_args() | creation_source: :admin})\n  end\n\n  test \"search\" do\n    search_fn = fn args -> args |> DB.Contact.search() |> order_by([contact: c], asc: c.id) |> DB.Repo.all() end\n    assert search_fn.(%{}) == []\n\n    DB.Contact.insert!(%{sample_contact_args() | last_name: \"Doe\", organization: \"Big Corp Inc\"})\n    DB.Contact.insert!(%{sample_contact_args() | last_name: \"Bar\", organization: \"Big Corp Inc\"})\n    DB.Contact.insert!(%{sample_contact_args() | last_name: \"Baz\", organization: \"Foo Bar\"})\n    DB.Contact.insert!(%{sample_contact_args() | first_name: \"Marina\", last_name: \"Loiseau\", organization: \"CNRS\"})\n    DB.Contact.insert!(%{sample_contact_args() | first_name: \"Fabrice\", last_name: \"Mélo\", organization: \"CNRS\"})\n\n    DB.Contact.insert!(%{\n      sample_contact_args()\n      | first_name: nil,\n        last_name: nil,\n        mailing_list_title: \"Service SIG\",\n        organization: \"Geo Inc\"\n    })\n\n    assert [%DB.Contact{last_name: \"Doe\"}] = search_fn.(%{\"q\" => \"DOE\"})\n    assert [%DB.Contact{last_name: \"Doe\"}] = search_fn.(%{\"q\" => \"doe\"})\n    assert [%DB.Contact{last_name: \"Bar\"}, %DB.Contact{organization: \"Foo Bar\"}] = search_fn.(%{\"q\" => \"bar\"})\n    assert [%DB.Contact{organization: \"Foo Bar\"}] = search_fn.(%{\"q\" => \"Foo Bar\"})\n    assert [%DB.Contact{mailing_list_title: \"Service SIG\"}] = search_fn.(%{\"q\" => \"SIG\"})\n    assert [%DB.Contact{first_name: \"Marina\"}] = search_fn.(%{\"q\" => \"marina\"})\n    assert [%DB.Contact{last_name: \"Mélo\"}] = search_fn.(%{\"q\" => \"mel\"})\n    assert [%DB.Contact{last_name: \"Mélo\"}] = search_fn.(%{\"q\" => \"mél\"})\n  end\n\n  test \"organisations\" do\n    pan_org = %{\n      acronym: nil,\n      badges: [],\n      id: Ecto.UUID.generate(),\n      logo: \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-original.png\",\n      logo_thumbnail: \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-100.png\",\n      name: \"PAN\",\n      slug: \"equipe-transport-data-gouv-fr\"\n    }\n\n    insert(:organization, pan_org)\n\n    sample_contact_args()\n    |> Map.merge(%{\n      organizations: [\n        pan_org,\n        %{\n          \"acronym\" => nil,\n          \"badges\" => [],\n          \"id\" => Ecto.UUID.generate(),\n          # Can save an org without logos\n          \"logo\" => nil,\n          \"logo_thumbnail\" => nil,\n          \"name\" => \"Big Corp\",\n          \"slug\" => \"foo\"\n        }\n      ]\n    })\n    |> DB.Contact.insert!()\n\n    contact = DB.Contact |> DB.Repo.one!() |> DB.Repo.preload([:organizations])\n\n    assert 2 == contact.organizations |> Enum.count()\n\n    # Updating organizations by keeping just one\n    contact\n    |> DB.Contact.changeset(%{organizations: [contact.organizations |> hd() |> Map.from_struct()]})\n    |> DB.Repo.update!()\n\n    # The contact's organizations have been updated and we kept 2 organizations\n    assert 1 ==\n             contact\n             |> DB.Repo.reload!()\n             |> DB.Repo.preload([:organizations])\n             |> Map.fetch!(:organizations)\n             |> Enum.count()\n\n    assert 2 == DB.Organization |> DB.Repo.all() |> Enum.count()\n\n    # Not passing orgs should not delete orgs associated to the contact\n    contact\n    |> DB.Contact.changeset(%{first_name: \"Robert\"})\n    |> DB.Repo.update!()\n\n    assert 1 ==\n             contact\n             |> DB.Repo.reload!()\n             |> DB.Repo.preload([:organizations])\n             |> Map.fetch!(:organizations)\n             |> Enum.count()\n  end\n\n  test \"inactive contacts\" do\n    date1 = ~U[2022-04-01 13:00:00Z]\n    date2 = ~U[2023-04-01 13:00:00Z]\n    date3 = ~U[2024-04-01 13:00:00Z]\n    date4 = ~U[2024-04-15 13:00:00Z]\n\n    inactive = insert_contact(%{last_login_at: date1})\n    active = insert_contact(%{last_login_at: date3})\n\n    assert [inactive.id, active.id] == list_inactive_contact_ids(date4)\n    assert [inactive.id] == list_inactive_contact_ids(date2)\n\n    DB.Contact.delete_inactive_contacts(date2)\n\n    assert [active.id] == list_inactive_contact_ids(date4)\n    assert [] == list_inactive_contact_ids(date2)\n  end\n\n  test \"admin_contact* methods\" do\n    admin_org = build(:organization, name: \"Point d'Accès National transport.data.gouv.fr\")\n    %DB.Contact{id: admin_id} = admin_contact = insert_contact(%{organizations: [Map.from_struct(admin_org)]})\n    insert_contact()\n\n    assert [%DB.Contact{id: ^admin_id}] = DB.Contact.admin_contacts()\n    assert [admin_id] == DB.Contact.admin_contact_ids()\n    assert [admin_contact.datagouv_user_id] == DB.Contact.admin_datagouv_ids()\n  end\n\n  test \"delete a contact attached to a notification\" do\n    contact = insert_contact()\n\n    ns =\n      insert(:notification_subscription, %{\n        reason: :daily_new_comments,\n        source: :admin,\n        contact_id: contact.id,\n        role: :producer\n      })\n      |> DB.Repo.preload(:contact)\n\n    %DB.Notification{} = notification = DB.Notification.insert!(ns, %{})\n\n    DB.Repo.delete!(contact)\n\n    %DB.Notification{contact_id: nil} = DB.Repo.reload!(notification)\n  end\n\n  defp list_inactive_contact_ids(datetime) do\n    DB.Contact.list_inactive_contacts(datetime)\n    |> Enum.map(fn %DB.Contact{id: contact_id} -> contact_id end)\n  end\n\n  defp sample_contact_args do\n    %{\n      first_name: \"John\",\n      last_name: \"Doe\",\n      mailing_list_title: nil,\n      email: \"john#{Ecto.UUID.generate()}@example.fr\",\n      job_title: \"Boss\",\n      organization: \"Big Corp Inc\",\n      phone_number: \"06 82 22 88 03\",\n      creation_source: \"admin\"\n    }\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/data_conversion_test.exs",
    "content": "defmodule DB.DataConversionTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  doctest DB.DataConversion, import: true\n\n  test \"constraints on data_conversion table\" do\n    assert %{id: _data_conversion_id} =\n             insert(:data_conversion,\n               convert_from: :GTFS,\n               convert_to: :GeoJSON,\n               resource_history_uuid: Ecto.UUID.generate(),\n               payload: %{}\n             )\n\n    # Enforce correct case for convert_from format\n    # Constraints are enforced by the DB and by `Ecto.Enum`s\n    assert_raise(RuntimeError, fn ->\n      insert(:data_conversion,\n        convert_from: \"gtfsqq\",\n        convert_to: \"GeoJSON\",\n        resource_history_uuid: Ecto.UUID.generate(),\n        payload: %{}\n      )\n    end)\n\n    # enforce correct case for convert_to format\n    assert_raise(RuntimeError, fn ->\n      insert(:data_conversion,\n        convert_from: :GTFS,\n        convert_to: :geojson,\n        resource_history_uuid: Ecto.UUID.generate(),\n        payload: %{}\n      )\n    end)\n  end\n\n  test \"uniqueness of data_conversion\" do\n    assert %{id: _data_conversion_id} =\n             insert(:data_conversion,\n               convert_from: :GTFS,\n               convert_to: :GeoJSON,\n               resource_history_uuid: uuid = Ecto.UUID.generate(),\n               payload: %{}\n             )\n\n    # you cannot have 2 rows with the same {convert_from, convert_to, resource_history_uuid}\n    assert_raise(Ecto.ConstraintError, fn ->\n      insert(:data_conversion,\n        convert_from: :GTFS,\n        convert_to: :GeoJSON,\n        resource_history_uuid: uuid,\n        payload: %{}\n      )\n    end)\n  end\n\n  test \"list data conversions of a dataset\" do\n    dataset = insert(:dataset)\n    resource_1 = insert(:resource, dataset_id: dataset.id, format: \"GTFS\")\n\n    # not listed as there is more recent\n    insert(:resource_history,\n      resource_id: resource_1.id,\n      payload: %{uuid: uuid_old = Ecto.UUID.generate(), inserted_at: DateTime.utc_now() |> DateTime.add(-1, :day)}\n    )\n\n    insert(:data_conversion,\n      convert_from: \"GTFS\",\n      convert_to: \"GeoJSON\",\n      converter: DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n      resource_history_uuid: uuid_old,\n      payload: %{filename: \"filename_old\"}\n    )\n\n    # listed\n    resource_history_1 =\n      insert(:resource_history, resource_id: resource_1.id, payload: %{uuid: uuid = Ecto.UUID.generate()})\n\n    data_conversion =\n      insert(:data_conversion,\n        convert_from: \"GTFS\",\n        convert_to: \"GeoJSON\",\n        converter: DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n        resource_history_uuid: uuid,\n        payload: %{filename: \"filename\"}\n      )\n\n    # listed (other resource same dataset)\n    resource_2 = insert(:resource, dataset_id: dataset.id, format: \"GTFS\")\n\n    resource_history_2 =\n      insert(:resource_history, resource_id: resource_2.id, payload: %{uuid: uuid_2 = Ecto.UUID.generate()})\n\n    data_conversion_2 =\n      insert(:data_conversion,\n        convert_from: \"GTFS\",\n        convert_to: \"GeoJSON\",\n        converter: DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n        resource_history_uuid: uuid_2,\n        payload: %{filename: \"filename_2\"}\n      )\n\n    # not listed, other dataset\n    dataset_other = insert(:dataset)\n    resource_other = insert(:resource, dataset_id: dataset_other.id)\n\n    _resource_history_other =\n      insert(:resource_history, resource_id: resource_other.id, payload: %{uuid: uuid_other = Ecto.UUID.generate()})\n\n    _data_conversion_other =\n      insert(:data_conversion,\n        convert_from: \"GTFS\",\n        convert_to: \"GeoJSON\",\n        converter: DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n        resource_history_uuid: uuid_other,\n        payload: %{filename: \"filename\"}\n      )\n\n    _ignored_non_default_converter =\n      insert(:data_conversion,\n        convert_from: \"GTFS\",\n        convert_to: \"GeoJSON\",\n        converter: \"non-default-geojson-converter\",\n        resource_history_uuid: uuid_other,\n        payload: %{filename: \"filename\"}\n      )\n\n    conversions =\n      dataset.id\n      |> DB.DataConversion.latest_data_conversions(\"GeoJSON\")\n      |> Enum.sort_by(fn %{data_conversion_id: dc_id} -> dc_id end, :asc)\n\n    assert [\n             %{\n               data_conversion_id: data_conversion.id,\n               resource_history_id: resource_history_1.id,\n               s3_path: \"filename\"\n             },\n             %{\n               data_conversion_id: data_conversion_2.id,\n               resource_history_id: resource_history_2.id,\n               s3_path: \"filename_2\"\n             }\n           ] == conversions\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/dataset_follower_test.exs",
    "content": "defmodule DB.DatasetFollowerTest do\n  # The trigger refresh_dataset_geographic_view_trigger makes this test\n  # unreliable in a concurrent setup.\n  use ExUnit.Case, async: false\n  import DB.Factory\n  alias DB.DatasetFollower\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"changeset\" do\n    contact = insert_contact()\n    dataset = insert(:dataset)\n\n    # Valid case\n    assert %Ecto.Changeset{valid?: true} =\n             changeset(%{dataset_id: dataset.id, contact_id: contact.id, source: :datagouv})\n\n    # Errors\n    assert {:error, %Ecto.Changeset{errors: [contact: {\"does not exist\", _}]}} =\n             %{dataset_id: dataset.id, contact_id: -1, source: :datagouv} |> changeset() |> DB.Repo.insert()\n\n    assert {:error, %Ecto.Changeset{errors: [dataset: {\"does not exist\", _}]}} =\n             %{dataset_id: -1, contact_id: contact.id, source: :datagouv} |> changeset() |> DB.Repo.insert()\n\n    assert {:error, %Ecto.Changeset{errors: [source: {\"is invalid\", _}]}} =\n             %{dataset_id: dataset.id, contact_id: contact.id, source: :foo} |> changeset() |> DB.Repo.insert()\n\n    # Unique constraint is enforced\n    %{dataset_id: dataset.id, contact_id: contact.id, source: :datagouv} |> changeset() |> DB.Repo.insert!()\n\n    assert {:error, %Ecto.Changeset{errors: [dataset_id: {\"has already been taken\", _}]}} =\n             %{dataset_id: dataset.id, contact_id: contact.id, source: :datagouv} |> changeset() |> DB.Repo.insert()\n  end\n\n  test \"foreign relations\" do\n    %DB.Contact{id: contact_id} = contact = insert_contact()\n    %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n\n    assert [] = dataset |> DB.Repo.preload(:followers) |> Map.fetch!(:followers)\n    assert [] = contact |> DB.Repo.preload(:followed_datasets) |> Map.fetch!(:followed_datasets)\n\n    %{dataset_id: dataset_id, contact_id: contact_id, source: :datagouv} |> changeset() |> DB.Repo.insert!()\n\n    # Updating the dataset does not affect followers\n    {:ok, %Ecto.Changeset{} = changeset} =\n      DB.Dataset.changeset(%{\"datagouv_id\" => dataset.datagouv_id, \"custom_title\" => \"Foo\"})\n\n    DB.Repo.update!(changeset)\n\n    assert [%DB.Contact{id: ^contact_id}] = dataset |> DB.Repo.preload(:followers) |> Map.fetch!(:followers)\n\n    assert [%DB.Dataset{id: ^dataset_id}] =\n             contact |> DB.Repo.preload(:followed_datasets) |> Map.fetch!(:followed_datasets)\n  end\n\n  test \"follows_dataset\" do\n    %DB.Contact{id: contact_id} = contact = insert_contact()\n    %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n\n    refute DB.DatasetFollower.follows_dataset?(nil, dataset)\n    refute DB.DatasetFollower.follows_dataset?(contact, dataset)\n\n    %{dataset_id: dataset_id, contact_id: contact_id, source: :datagouv} |> changeset() |> DB.Repo.insert!()\n\n    assert DB.DatasetFollower.follows_dataset?(contact, dataset)\n  end\n\n  test \"follow! and unfollow!\" do\n    %DB.Contact{} = contact = insert_contact()\n    %DB.Dataset{} = dataset = insert(:dataset)\n\n    refute DB.DatasetFollower.follows_dataset?(contact, dataset)\n\n    DB.DatasetFollower.follow!(contact, dataset, source: :follow_button)\n\n    assert DB.DatasetFollower.follows_dataset?(contact, dataset)\n\n    DB.DatasetFollower.unfollow!(contact, dataset)\n\n    refute DB.DatasetFollower.follows_dataset?(contact, dataset)\n  end\n\n  defp changeset(args), do: DatasetFollower.changeset(%DatasetFollower{}, args)\nend\n"
  },
  {
    "path": "apps/transport/test/db/dataset_history_test.exs",
    "content": "defmodule DB.DatasetHistoryTest do\n  use ExUnit.Case, async: true\n  import DB.DatasetHistory\n  import DB.Factory\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"from_old_dataset_slug\" do\n    test \"it finds the current dataset when given an old slug\" do\n      %{id: dataset_id} =\n        dataset = insert(:dataset, datagouv_id: Ecto.UUID.generate(), is_active: true, slug: Ecto.UUID.generate())\n\n      insert(:dataset_history, dataset_id: dataset.id, payload: %{slug: old_slug = Ecto.UUID.generate()})\n      insert(:dataset_history, dataset_id: dataset.id, payload: %{slug: other_old_slug = Ecto.UUID.generate()})\n      assert %DB.DatasetHistory{dataset_id: ^dataset_id} = from_old_dataset_slug(old_slug)\n      assert %DB.DatasetHistory{dataset_id: ^dataset_id} = from_old_dataset_slug(other_old_slug)\n      assert nil == from_old_dataset_slug(dataset.slug)\n    end\n\n    test \"it raises when there are multiple results\" do\n      dataset = insert(:dataset, datagouv_id: Ecto.UUID.generate(), is_active: true, slug: Ecto.UUID.generate())\n      dataset2 = insert(:dataset, datagouv_id: Ecto.UUID.generate(), is_active: true, slug: Ecto.UUID.generate())\n      old_slug = Ecto.UUID.generate()\n      insert(:dataset_history, dataset_id: dataset.id, payload: %{slug: old_slug})\n      insert(:dataset_history, dataset_id: dataset2.id, payload: %{slug: old_slug})\n\n      assert_raise Ecto.MultipleResultsError, fn ->\n        from_old_dataset_slug(old_slug)\n      end\n    end\n\n    test \"it works with inactive datasets\" do\n      %{id: dataset_id} =\n        dataset = insert(:dataset, datagouv_id: Ecto.UUID.generate(), is_active: false, slug: Ecto.UUID.generate())\n\n      refute dataset.is_active\n      insert(:dataset_history, dataset_id: dataset.id, payload: %{slug: old_slug = Ecto.UUID.generate()})\n\n      assert %DB.DatasetHistory{dataset_id: ^dataset_id} = from_old_dataset_slug(old_slug)\n    end\n\n    test \"it works when the slug has been present for a few days\" do\n      %{id: dataset_id} =\n        dataset = insert(:dataset, datagouv_id: Ecto.UUID.generate(), is_active: true, slug: Ecto.UUID.generate())\n\n      old_slug = Ecto.UUID.generate()\n      insert(:dataset_history, dataset_id: dataset.id, payload: %{slug: old_slug})\n      insert(:dataset_history, dataset_id: dataset.id, payload: %{slug: old_slug})\n\n      assert %DB.DatasetHistory{dataset_id: ^dataset_id} = from_old_dataset_slug(old_slug)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/dataset_monthly_metric_test.exs",
    "content": "defmodule DB.DatasetMonthlyMetricTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n\n  doctest DB.DatasetMonthlyMetric, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"changeset\" do\n    test \"can insert a record\" do\n      dataset = insert(:dataset)\n\n      assert %Ecto.Changeset{valid?: true} =\n               changeset =\n               DB.DatasetMonthlyMetric.changeset(%DB.DatasetMonthlyMetric{}, %{\n                 dataset_datagouv_id: dataset.datagouv_id,\n                 metric_name: :views,\n                 count: 42,\n                 year_month: \"2023-12\"\n               })\n\n      DB.Repo.insert!(changeset)\n    end\n\n    test \"identifies errors\" do\n      assert %Ecto.Changeset{\n               valid?: false,\n               errors: [\n                 {:count, _},\n                 {:year_month, _},\n                 {:metric_name, _}\n               ]\n             } =\n               DB.DatasetMonthlyMetric.changeset(%DB.DatasetMonthlyMetric{}, %{\n                 dataset_datagouv_id: Ecto.UUID.generate(),\n                 metric_name: :foo,\n                 count: -1,\n                 year_month: \"bar\"\n               })\n    end\n  end\n\n  test \"downloads_for_year\" do\n    dataset = insert(:dataset)\n    other_dataset = insert(:dataset)\n\n    insert(:dataset_monthly_metric,\n      dataset_datagouv_id: dataset.datagouv_id,\n      year_month: \"2023-12\",\n      metric_name: :downloads,\n      count: 42\n    )\n\n    insert(:dataset_monthly_metric,\n      dataset_datagouv_id: dataset.datagouv_id,\n      year_month: \"2023-01\",\n      metric_name: :downloads,\n      count: 1_337\n    )\n\n    insert(:dataset_monthly_metric,\n      dataset_datagouv_id: other_dataset.datagouv_id,\n      year_month: \"2023-10\",\n      metric_name: :downloads,\n      count: 5\n    )\n\n    insert(:dataset_monthly_metric,\n      dataset_datagouv_id: dataset.datagouv_id,\n      year_month: \"2023-12\",\n      metric_name: :views,\n      count: 1\n    )\n\n    assert %{dataset.datagouv_id => 1_337 + 42} == DB.DatasetMonthlyMetric.downloads_for_year([dataset], 2023)\n\n    assert %{dataset.datagouv_id => 1_337 + 42, other_dataset.datagouv_id => 5} ==\n             DB.DatasetMonthlyMetric.downloads_for_year([dataset, other_dataset], 2023)\n\n    assert %{} == DB.DatasetMonthlyMetric.downloads_for_year([dataset, other_dataset], 2024)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/dataset_score_test.exs",
    "content": "defmodule DB.DatasetScoreTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  doctest DB.DatasetScore, import: true\n\n  describe \"save dataset score\" do\n    test \"some fields are mandatory\" do\n      changeset = %DB.DatasetScore{} |> DB.DatasetScore.changeset(%{})\n\n      assert %Ecto.Changeset{\n               valid?: false,\n               errors: [\n                 dataset_id: {\"can't be blank\", [validation: :required]},\n                 topic: {\"can't be blank\", [validation: :required]},\n                 timestamp: {\"can't be blank\", [validation: :required]}\n               ]\n             } = changeset\n    end\n\n    test \"score has constraints\" do\n      changeset =\n        %DB.DatasetScore{}\n        |> DB.DatasetScore.changeset(%{dataset_id: 1, topic: :freshness, score: 2.0, timestamp: DateTime.utc_now()})\n\n      assert %Ecto.Changeset{\n               valid?: false,\n               errors: [\n                 score: {\"must be between 0.0 and 1.0\", []}\n               ]\n             } = changeset\n    end\n\n    test \"topic is an enum\" do\n      changeset =\n        %DB.DatasetScore{}\n        |> DB.DatasetScore.changeset(%{dataset_id: 1, topic: :foo, score: 0.5, timestamp: DateTime.utc_now()})\n\n      assert %Ecto.Changeset{\n               valid?: false,\n               errors: [\n                 topic: {\"is invalid\", _}\n               ]\n             } = changeset\n    end\n  end\n\n  test \"get latest score\" do\n    dataset = insert(:dataset)\n    other_dataset = insert(:dataset)\n\n    # old\n    insert(:dataset_score,\n      dataset_id: dataset.id,\n      timestamp: DateTime.utc_now() |> DateTime.add(-1, :day),\n      score: 1.0,\n      topic: :freshness\n    )\n\n    # the expected result\n    score =\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :hour),\n        score: 0.55,\n        topic: :freshness\n      )\n\n    # bad dataset\n    insert(:dataset_score, dataset_id: other_dataset.id, timestamp: DateTime.utc_now(), score: 1.0, topic: :freshness)\n\n    # bad topic\n    insert(:dataset_score, dataset_id: dataset.id, timestamp: DateTime.utc_now(), score: 1.0, topic: :availability)\n\n    assert score == DB.DatasetScore.get_latest(dataset, :freshness)\n  end\n\n  test \"get unexisting latest score\" do\n    assert %DB.Dataset{id: 123_456} |> DB.DatasetScore.get_latest(:freshness) |> is_nil()\n  end\n\n  test \"get_latest_scores\" do\n    dataset = insert(:dataset)\n    other_dataset = insert(:dataset)\n\n    # old\n    insert(:dataset_score,\n      dataset: dataset,\n      timestamp: DateTime.utc_now() |> DateTime.add(-1, :day),\n      score: 1.0,\n      topic: :freshness\n    )\n\n    # the expected results\n    freshness_score =\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :hour),\n        score: 0.55,\n        topic: :freshness\n      )\n\n    availability_score =\n      insert(:dataset_score, dataset_id: dataset.id, timestamp: DateTime.utc_now(), score: 1.0, topic: :availability)\n\n    # other dataset\n    insert(:dataset_score, dataset: other_dataset, timestamp: DateTime.utc_now(), score: 1.0, topic: :freshness)\n\n    assert %{freshness: freshness_score} == DB.DatasetScore.get_latest_scores(dataset, [:freshness])\n\n    assert %{freshness: freshness_score, availability: availability_score} ==\n             DB.DatasetScore.get_latest_scores(dataset, [:freshness, :availability])\n\n    assert %{} == DB.DatasetScore.get_latest_scores(%DB.Dataset{id: 123_456}, [:freshness, :availability])\n  end\n\n  test \"scores_over_last_days\" do\n    dataset = insert(:dataset)\n    other_dataset = insert(:dataset)\n\n    # other dataset\n    insert(:dataset_score, dataset: other_dataset, timestamp: DateTime.utc_now(), score: 1.0, topic: :freshness)\n\n    [{-3, 0.75}, {-2, 0.5}, {-1, 0.75}, {0, 1}]\n    |> Enum.each(fn {days_delta, score} ->\n      insert(:dataset_score,\n        dataset: dataset,\n        timestamp: DateTime.utc_now() |> DateTime.add(days_delta, :day),\n        score: score,\n        topic: :freshness\n      )\n\n      insert(:dataset_score,\n        dataset: dataset,\n        timestamp: DateTime.utc_now() |> DateTime.add(days_delta, :day),\n        score: score - 0.25,\n        topic: :availability\n      )\n    end)\n\n    # should be ignored, not the latest point for today\n    insert(:dataset_score,\n      dataset: dataset,\n      timestamp: DateTime.utc_now() |> DateTime.add(-5, :minute),\n      score: 0,\n      topic: :freshness\n    )\n\n    # a nil value\n    insert(:dataset_score,\n      dataset: dataset,\n      timestamp: DateTime.utc_now(),\n      score: nil,\n      topic: :compliance\n    )\n\n    assert [\n             %DB.DatasetScore{topic: :freshness, score: 0.5},\n             %DB.DatasetScore{topic: :availability, score: 0.25},\n             %DB.DatasetScore{topic: :freshness, score: 0.75},\n             %DB.DatasetScore{topic: :availability, score: 0.5},\n             %DB.DatasetScore{topic: :freshness, score: 1.0},\n             %DB.DatasetScore{topic: :availability, score: 0.75},\n             %DB.DatasetScore{topic: :compliance, score: nil}\n           ] = DB.DatasetScore.scores_over_last_days(dataset, 2)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/dataset_test.exs",
    "content": "defmodule DB.DatasetDBTest do\n  @moduledoc \"\"\"\n  Tests on the Dataset schema\n  \"\"\"\n  use ExUnit.Case, async: false\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import ExUnit.CaptureLog\n  import Ecto.Query\n\n  doctest DB.Dataset, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"changeset of a dataset\" do\n    test \"empty params are rejected\" do\n      assert {:error, _} = DB.Dataset.changeset(%{})\n    end\n\n    test \"slug is required\" do\n      {{:error, _}, logs} = with_log(fn -> DB.Dataset.changeset(%{\"datagouv_id\" => \"1\"}) end)\n      assert logs =~ \"error while importing dataset\"\n    end\n\n    test \"has_real_time=true\" do\n      changeset =\n        DB.Dataset.changeset(%{\n          \"datagouv_id\" => \"1\",\n          \"custom_title\" => \"custom title\",\n          \"datagouv_title\" => \"title\",\n          \"type\" => \"public-transit\",\n          \"licence\" => \"lov2\",\n          \"slug\" => \"ma_limace\",\n          \"insee\" => \"38185\",\n          \"resources\" => [\n            %{\"format\" => \"gbfs\", \"url\" => \"coucou\", \"datagouv_id\" => \"pouet\"},\n            %{\"format\" => \"gtfs\", \"url\" => \"coucou\", \"datagouv_id\" => \"pouet\"}\n          ],\n          \"organization_id\" => Ecto.UUID.generate(),\n          \"logo\" => \"https://example.com/logo.png\"\n        })\n\n      assert {:ok, %Ecto.Changeset{changes: %{has_realtime: true}}} = changeset\n    end\n\n    test \"has_real_time=false\" do\n      changeset =\n        DB.Dataset.changeset(%{\n          \"datagouv_id\" => \"1\",\n          \"custom_title\" => \"custom title\",\n          \"datagouv_title\" => \"title\",\n          \"type\" => \"public-transit\",\n          \"licence\" => \"lov2\",\n          \"organization_id\" => Ecto.UUID.generate(),\n          \"logo\" => \"https://example.com/logo.png\",\n          \"slug\" => \"ma_limace\",\n          \"insee\" => \"38185\",\n          \"resources\" => [%{\"format\" => \"gtfs\", \"url\" => \"coucou\", \"datagouv_id\" => \"pouet\"}]\n        })\n\n      assert {:ok, %Ecto.Changeset{changes: %{has_realtime: false}}} = changeset\n    end\n\n    test \"is_hidden=true\" do\n      assert {:ok, %Ecto.Changeset{changes: %{is_hidden: true}}} =\n               DB.Dataset.changeset(%{\n                 \"datagouv_id\" => \"1\",\n                 \"custom_title\" => \"custom title\",\n                 \"datagouv_title\" => \"title\",\n                 \"type\" => \"public-transit\",\n                 \"licence\" => \"lov2\",\n                 \"slug\" => \"ma_limace\",\n                 \"insee\" => \"38185\",\n                 \"custom_tags\" => [\"masqué\"],\n                 \"organization_id\" => Ecto.UUID.generate(),\n                 \"logo\" => \"https://example.com/logo.png\"\n               })\n    end\n\n    test \"is_hidden=false\" do\n      assert {:ok, %Ecto.Changeset{changes: %{is_hidden: false}}} =\n               DB.Dataset.changeset(%{\n                 \"datagouv_id\" => \"1\",\n                 \"custom_title\" => \"custom title\",\n                 \"datagouv_title\" => \"title\",\n                 \"type\" => \"public-transit\",\n                 \"licence\" => \"lov2\",\n                 \"slug\" => \"ma_limace\",\n                 \"insee\" => \"38185\",\n                 \"custom_tags\" => [\"not_hidden\"],\n                 \"organization_id\" => Ecto.UUID.generate(),\n                 \"logo\" => \"https://example.com/logo.png\"\n               })\n    end\n\n    test \"siren is validated\" do\n      {{:error, _}, logs} =\n        with_log(fn ->\n          DB.Dataset.changeset(%{\n            \"datagouv_id\" => \"1\",\n            \"datagouv_title\" => \"title\",\n            \"custom_title\" => \"custom title\",\n            \"slug\" => \"slug\",\n            \"national_dataset\" => \"true\",\n            \"legal_owner_company_siren\" => \"123456789\"\n          })\n        end)\n\n      assert logs =~ ~r/error while importing dataset(.*)legal_owner_company_siren/\n\n      assert {:ok, %Ecto.Changeset{}} =\n               DB.Dataset.changeset(%{\n                 \"datagouv_id\" => \"1\",\n                 \"custom_title\" => \"custom title\",\n                 \"datagouv_title\" => \"title\",\n                 \"type\" => \"public-transit\",\n                 \"licence\" => \"lov2\",\n                 \"slug\" => \"slug\",\n                 \"national_dataset\" => \"true\",\n                 \"legal_owner_company_siren\" => \"552049447\",\n                 \"organization_id\" => Ecto.UUID.generate(),\n                 \"logo\" => \"https://example.com/logo.png\"\n               })\n    end\n\n    test \"custom_title is trimmed\" do\n      assert {:ok, %Ecto.Changeset{changes: %{custom_title: \"Foo\"}}} =\n               DB.Dataset.changeset(%{\n                 \"datagouv_id\" => \"1\",\n                 \"datagouv_title\" => \"title\",\n                 \"type\" => \"public-transit\",\n                 \"licence\" => \"lov2\",\n                 \"slug\" => \"slug\",\n                 \"national_dataset\" => \"true\",\n                 \"custom_title\" => \"  Foo \",\n                 \"organization_id\" => Ecto.UUID.generate(),\n                 \"logo\" => \"https://example.com/logo.png\"\n               })\n    end\n\n    test \"organization_id should be set\" do\n      {res, _} =\n        with_log(fn ->\n          DB.Dataset.changeset(%{\n            \"datagouv_id\" => \"1\",\n            \"datagouv_title\" => \"title\",\n            \"type\" => \"public-transit\",\n            \"licence\" => \"lov2\",\n            \"slug\" => \"slug\",\n            \"national_dataset\" => \"true\",\n            \"custom_title\" => \"Foo\",\n            \"logo\" => \"https://example.com/logo.png\"\n          })\n        end)\n\n      assert res == {:error, ~s|%{organization_id: [\"can't be blank\"]}|}\n    end\n\n    test \"logo should be set\" do\n      {res, _} =\n        with_log(fn ->\n          DB.Dataset.changeset(%{\n            \"datagouv_id\" => \"1\",\n            \"datagouv_title\" => \"title\",\n            \"type\" => \"public-transit\",\n            \"licence\" => \"lov2\",\n            \"slug\" => \"slug\",\n            \"national_dataset\" => \"true\",\n            \"custom_title\" => \"Foo\",\n            \"organization_id\" => Ecto.UUID.generate()\n          })\n        end)\n\n      assert res == {:error, ~s|%{logo: [\"can't be blank\"]}|}\n    end\n  end\n\n  describe \"custom_logo_changed_at is set when updating custom_logo\" do\n    test \"does not set custom_logo_changed_at when changing unrelated things\" do\n      {:ok, %Ecto.Changeset{changes: changes}} =\n        DB.Dataset.changeset(%{\n          \"datagouv_id\" => \"1\",\n          \"datagouv_title\" => \"title\",\n          \"type\" => \"public-transit\",\n          \"licence\" => \"lov2\",\n          \"slug\" => \"slug\",\n          \"national_dataset\" => \"true\",\n          \"custom_title\" => \"foo\",\n          \"organization_id\" => Ecto.UUID.generate(),\n          \"logo\" => \"https://example.com/logo.png\"\n        })\n\n      refute Map.has_key?(changes, :custom_logo_changed_at)\n    end\n\n    test \"sets custom_logo_changed_at when changing custom_logo\" do\n      assert {:ok, %Ecto.Changeset{changes: %{custom_logo_changed_at: custom_logo_changed_at}}} =\n               DB.Dataset.changeset(%{\n                 \"datagouv_id\" => \"1\",\n                 \"datagouv_title\" => \"title\",\n                 \"type\" => \"public-transit\",\n                 \"licence\" => \"lov2\",\n                 \"slug\" => \"slug\",\n                 \"national_dataset\" => \"true\",\n                 \"custom_title\" => \"foo\",\n                 \"custom_logo\" => \"https://example.com/pic.jpg\",\n                 \"organization_id\" => Ecto.UUID.generate(),\n                 \"logo\" => \"https://example.com/logo.png\"\n               })\n\n      assert DateTime.diff(custom_logo_changed_at, DateTime.utc_now(), :second) < 3\n    end\n\n    test \"does not update fields when custom_logo is already set\" do\n      dataset =\n        insert(:dataset, custom_logo: \"https://example.com/pic.jpg\", custom_logo_changed_at: DateTime.utc_now())\n\n      {:ok, %Ecto.Changeset{changes: changes}} = DB.Dataset.changeset(%{\"datagouv_id\" => dataset.datagouv_id})\n      assert changes == %{population: 0}\n    end\n  end\n\n  describe \"mobility-licence\" do\n    test \"does not change the licence if the magic custom tag is not set\" do\n      insert(:dataset, licence: \"lov2\", datagouv_id: datagouv_id = Ecto.UUID.generate(), custom_tags: nil)\n\n      assert {:ok, %Ecto.Changeset{changes: %{licence: \"fr-lo\"}}} =\n               DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id, \"licence\" => \"fr-lo\"})\n    end\n\n    test \"if the magic tag is set, change the licence\" do\n      insert(:dataset, custom_tags: [\"licence-mobilités\"], datagouv_id: datagouv_id = Ecto.UUID.generate())\n\n      assert {:ok, %Ecto.Changeset{changes: %{licence: \"mobility-licence\"}}} =\n               DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id})\n\n      assert {:ok, %Ecto.Changeset{changes: %{licence: \"mobility-licence\"}}} =\n               DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id, \"licence\" => \"fr-lo\"})\n    end\n\n    test \"ignores other tags in custom_tags\" do\n      insert(:dataset, custom_tags: [\"foo\"], datagouv_id: datagouv_id = Ecto.UUID.generate())\n\n      assert {:ok, %Ecto.Changeset{changes: %{licence: \"fr-lo\"}}} =\n               DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id, \"licence\" => \"fr-lo\"})\n    end\n  end\n\n  describe \"resources last content update time\" do\n    test \"for a dataset, get resources last update times\" do\n      %{id: dataset_id} = insert(:dataset, %{datagouv_id: \"xxx\", datagouv_title: \"coucou\"})\n\n      %{id: resource_id_1} = insert(:resource, dataset_id: dataset_id)\n      %{id: resource_id_2} = insert(:resource, dataset_id: dataset_id)\n\n      # resource 1\n      insert(:resource_history, %{\n        resource_id: resource_id_1,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-7200)\n      })\n\n      insert(:resource_history, %{\n        resource_id: resource_id_1,\n        inserted_at: resource_1_last_update_time = DateTime.utc_now() |> DateTime.add(-3600)\n      })\n\n      # resource 2\n      insert(:resource_history, %{\n        resource_id: resource_id_2,\n        inserted_at: resource_2_last_update_time = DateTime.utc_now()\n      })\n\n      dataset = DB.Dataset |> preload(:resources) |> DB.Repo.get!(dataset_id)\n\n      assert %{resource_id_1 => resource_1_last_update_time, resource_id_2 => resource_2_last_update_time} ==\n               DB.Dataset.resources_content_updated_at(dataset)\n    end\n\n    defp insert_dataset_resource do\n      dataset = insert(:dataset)\n      %{id: resource_id} = insert(:resource, dataset: dataset)\n\n      {dataset, resource_id}\n    end\n\n    test \"1 resource, basic case\" do\n      {dataset, resource_id} = insert_dataset_resource()\n\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-7200)\n      })\n\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: expected_last_update_time = DateTime.utc_now() |> DateTime.add(-3600)\n      })\n\n      assert %{resource_id => expected_last_update_time} == DB.Dataset.resources_content_updated_at(dataset)\n    end\n\n    test \"only one resource history\" do\n      {dataset, resource_id} = insert_dataset_resource()\n\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: expected_last_update_time = DateTime.utc_now() |> DateTime.add(-7200)\n      })\n\n      assert DB.Dataset.resources_content_updated_at(dataset) == %{resource_id => expected_last_update_time}\n    end\n\n    test \"last content update time, multiple datetimes\" do\n      {dataset, resource_id} = insert_dataset_resource()\n\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-7200)\n      })\n\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: expected_last_update_time = DateTime.utc_now() |> DateTime.add(-3600)\n      })\n\n      assert DB.Dataset.resources_content_updated_at(dataset) == %{resource_id => expected_last_update_time}\n    end\n  end\n\n  test \"formats\" do\n    dataset = insert(:dataset)\n    insert(:resource, format: \"GTFS\", dataset: dataset)\n    insert(:resource, format: \"zip\", dataset: dataset, is_community_resource: true)\n    insert(:resource, format: \"csv\", dataset: dataset)\n    insert(:resource, format: nil, dataset: dataset)\n\n    assert [\"GTFS\", \"csv\"] == dataset |> DB.Repo.preload(:resources) |> DB.Dataset.formats()\n  end\n\n  test \"validate\" do\n    dataset = insert(:dataset)\n    %{id: gtfs_resource_id} = insert(:resource, format: \"GTFS\", dataset: dataset)\n    %{id: gbfs_resource_id} = insert(:resource, format: \"gbfs\", dataset: dataset)\n    # Ignored because it's a community resource\n    insert(:resource, format: \"GTFS\", dataset: dataset, is_community_resource: true)\n\n    DB.Dataset.validate(dataset)\n\n    assert [\n             %Oban.Job{\n               args: %{\"resource_id\" => ^gbfs_resource_id},\n               worker: \"Transport.Jobs.ResourceValidationJob\",\n               conflict?: false\n             },\n             %Oban.Job{\n               args: %{\n                 \"first_job_args\" => %{\"resource_id\" => ^gtfs_resource_id},\n                 \"jobs\" => [\n                   [\"Elixir.Transport.Jobs.ResourceHistoryJob\", %{}, %{}],\n                   [\"Elixir.Transport.Jobs.ResourceHistoryValidationJob\", %{\"force_validation\" => false}, %{}]\n                 ]\n               },\n               worker: \"Transport.Jobs.Workflow\",\n               conflict?: false\n             }\n           ] = all_enqueued()\n\n    # Executing again does not create a conflict, even if the job has `unique` params\n    DB.Dataset.validate(dataset)\n\n    assert [\n             %Oban.Job{\n               args: %{\"resource_id\" => ^gbfs_resource_id},\n               worker: \"Transport.Jobs.ResourceValidationJob\",\n               conflict?: false\n             },\n             %Oban.Job{\n               args: %{\n                 \"first_job_args\" => %{\"resource_id\" => gtfs_resource_id},\n                 \"jobs\" => [\n                   [\"Elixir.Transport.Jobs.ResourceHistoryJob\", %{}, %{}],\n                   [\"Elixir.Transport.Jobs.ResourceHistoryValidationJob\", %{\"force_validation\" => false}, %{}]\n                 ]\n               },\n               worker: \"Transport.Jobs.Workflow\",\n               conflict?: false\n             },\n             %Oban.Job{\n               args: %{\"resource_id\" => ^gbfs_resource_id},\n               worker: \"Transport.Jobs.ResourceValidationJob\",\n               conflict?: false\n             },\n             %Oban.Job{\n               args: %{\n                 \"first_job_args\" => %{\"resource_id\" => gtfs_resource_id},\n                 \"jobs\" => [\n                   [\"Elixir.Transport.Jobs.ResourceHistoryJob\", %{}, %{}],\n                   [\"Elixir.Transport.Jobs.ResourceHistoryValidationJob\", %{\"force_validation\" => false}, %{}]\n                 ]\n               },\n               worker: \"Transport.Jobs.Workflow\",\n               conflict?: false\n             }\n           ] = all_enqueued()\n  end\n\n  describe \"get_resources_related_files\" do\n    test \"without a NeTEx resource\" do\n      %{id: dataset_id} = insert(:dataset)\n\n      r1 = insert(:resource, dataset_id: dataset_id)\n      r2 = insert(:resource, dataset_id: dataset_id)\n      r3 = insert(:resource, dataset_id: dataset_id)\n\n      insert(:resource_history,\n        resource_id: r1.id,\n        payload: %{\"uuid\" => uuid1 = Ecto.UUID.generate()},\n        last_up_to_date_at: dt1 = DateTime.utc_now()\n      )\n\n      insert(:resource_history,\n        resource_id: r2.id,\n        payload: %{\"uuid\" => uuid2 = Ecto.UUID.generate()},\n        last_up_to_date_at: dt2 = DateTime.utc_now()\n      )\n\n      insert(:resource_history,\n        resource_id: r3.id,\n        payload: %{\"uuid\" => uuid3 = Ecto.UUID.generate()},\n        last_up_to_date_at: DateTime.utc_now()\n      )\n\n      insert(:data_conversion,\n        resource_history_uuid: uuid1,\n        convert_from: \"GTFS\",\n        convert_to: \"GeoJSON\",\n        converter: DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n        payload: %{\"permanent_url\" => \"url1\", \"filesize\" => 21}\n      )\n\n      insert(:data_conversion,\n        resource_history_uuid: uuid2,\n        convert_from: \"GTFS\",\n        convert_to: \"GeoJSON\",\n        converter: DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n        payload: %{\"permanent_url\" => \"url2\", \"filesize\" => 76}\n      )\n\n      # Should be ignored, status is `pending`\n      insert(:data_conversion,\n        resource_history_uuid: uuid3,\n        convert_from: \"GTFS\",\n        convert_to: \"GeoJSON\",\n        converter: DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n        status: :pending,\n        payload: %{\"permanent_url\" => \"url3\", \"filesize\" => 43}\n      )\n\n      dataset = DB.Dataset |> preload(:resources) |> DB.Repo.get(dataset_id)\n\n      related_resources = DB.Dataset.get_resources_related_files(dataset)\n\n      assert %{\n               r1.id => %{\n                 GeoJSON: %{\n                   url: \"url1\",\n                   filesize: 21,\n                   resource_history_last_up_to_date_at: dt1,\n                   format: \"GeoJSON\",\n                   stable_url: \"http://127.0.0.1:5100/resources/conversions/#{r1.id}/GeoJSON\"\n                 }\n               },\n               r2.id => %{\n                 GeoJSON: %{\n                   url: \"url2\",\n                   filesize: 76,\n                   resource_history_last_up_to_date_at: dt2,\n                   format: \"GeoJSON\",\n                   stable_url: \"http://127.0.0.1:5100/resources/conversions/#{r2.id}/GeoJSON\"\n                 }\n               },\n               r3.id => %{GeoJSON: nil}\n             } == related_resources\n    end\n\n    test \"with a GTFS and NeTEx resources in the same dataset\" do\n      dataset = insert(:dataset)\n\n      gtfs = insert(:resource, dataset: dataset, format: \"gtfs\")\n      netex = insert(:resource, dataset: dataset, format: \"NeTEx\")\n\n      insert(:resource_history,\n        resource: gtfs,\n        payload: %{\"uuid\" => uuid1 = Ecto.UUID.generate()},\n        last_up_to_date_at: dt1 = DateTime.utc_now()\n      )\n\n      insert(:data_conversion,\n        resource_history_uuid: uuid1,\n        convert_from: \"GTFS\",\n        convert_to: \"GeoJSON\",\n        converter: DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n        payload: %{\"permanent_url\" => \"url1\", \"filesize\" => 21}\n      )\n\n      dataset = dataset |> DB.Repo.preload(:resources)\n\n      assert %{\n               gtfs.id => %{\n                 GeoJSON: %{\n                   url: \"url1\",\n                   filesize: 21,\n                   resource_history_last_up_to_date_at: dt1,\n                   format: \"GeoJSON\",\n                   stable_url: \"http://127.0.0.1:5100/resources/conversions/#{gtfs.id}/GeoJSON\"\n                 }\n               },\n               netex.id => %{GeoJSON: nil}\n             } == DB.Dataset.get_resources_related_files(dataset)\n\n      assert %{\n               gtfs.id => %{\n                 GeoJSON: %{\n                   url: \"url1\",\n                   filesize: 21,\n                   resource_history_last_up_to_date_at: dt1,\n                   format: \"GeoJSON\",\n                   stable_url: \"http://127.0.0.1:5100/resources/conversions/#{gtfs.id}/GeoJSON\"\n                 }\n               },\n               netex.id => %{GeoJSON: nil}\n             } == DB.Dataset.get_resources_related_files(dataset)\n    end\n  end\n\n  test \"count dataset by mode\" do\n    france = insert(:administrative_division, type: :pays, insee: \"FR\", nom: \"France\")\n    dataset = insert(:dataset)\n    dataset_2 = insert(:dataset, declarative_spatial_areas: [france])\n    archived_dataset = insert(:dataset, archived_at: DateTime.utc_now())\n\n    # As filled by `Transport.CounterCache`\n    insert(:resource, counter_cache: %{gtfs_modes: [\"bus\"]}, dataset: dataset)\n    insert(:resource, counter_cache: %{gtfs_modes: [\"ski\"]}, dataset: dataset)\n\n    insert(:resource, counter_cache: %{gtfs_modes: [\"bus\"]}, dataset: dataset_2)\n    insert(:resource, counter_cache: %{gtfs_modes: [\"ski\"]}, dataset: dataset_2)\n\n    insert(:resource, counter_cache: %{gtfs_modes: [\"ski\"]}, dataset: archived_dataset)\n\n    assert DB.Dataset.count_by_mode(\"bus\") == 2\n    assert DB.Dataset.count_by_mode(\"ski\") == 2\n    # this counts datasets covering France with bus resources\n    assert DB.Dataset.count_coach() == 1\n  end\n\n  test \"count_by_custom_tag\" do\n    insert(:dataset, archived_at: DateTime.utc_now(), custom_tags: [\"foo\"])\n\n    assert 0 == DB.Dataset.count_by_custom_tag(\"foo\")\n\n    insert(:dataset, type: \"public-transit\", is_active: true, custom_tags: [\"bar\", \"foo\"])\n\n    assert 1 == DB.Dataset.count_by_custom_tag(\"foo\")\n  end\n\n  test \"count_by_type\" do\n    insert(:dataset, type: \"public-transit\")\n    insert(:dataset, type: \"public-transit\")\n\n    insert(:dataset, type: \"road-data\")\n    insert(:dataset, type: \"road-data\", archived_at: DateTime.utc_now())\n\n    assert %{\n             \"bike-data\" => 0,\n             \"carpooling-areas\" => 0,\n             \"carpooling-lines\" => 0,\n             \"carpooling-offers\" => 0,\n             \"charging-stations\" => 0,\n             \"informations\" => 0,\n             \"pedestrian-path\" => 0,\n             \"public-transit\" => 2,\n             \"road-data\" => 1,\n             \"vehicles-sharing\" => 0\n           } == DB.Dataset.count_by_type()\n  end\n\n  test \"count_public_transport_has_realtime\" do\n    assert 0 == DB.Dataset.count_public_transport_has_realtime()\n\n    insert(:dataset, type: \"public-transit\", has_realtime: true)\n    insert(:dataset, type: \"public-transit\", has_realtime: false)\n    insert(:dataset, type: \"public-transit\", has_realtime: true, archived_at: DateTime.utc_now())\n\n    assert 1 == DB.Dataset.count_public_transport_has_realtime()\n  end\n\n  test \"correct organization type\" do\n    insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate())\n\n    assert {:ok, %Ecto.Changeset{changes: %{organization_type: \"AOM\"}}} =\n             DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id, \"organization_type\" => \"AOM\"})\n  end\n\n  test \"empty organization type\" do\n    insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate())\n\n    # we test a random change to check if the changeset is valid without an organization type specified\n    assert {:ok, %Ecto.Changeset{changes: %{licence: \"fr-lo\"}}} =\n             DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id, \"licence\" => \"fr-lo\"})\n  end\n\n  test \"incorrect organization type\" do\n    insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate())\n\n    {res, logs} =\n      with_log(fn ->\n        DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id, \"organization_type\" => \"US Gvt\"})\n      end)\n\n    assert logs =~ \"Le type d'organisation (publicateur) est invalide\"\n    assert {:error, \"%{organization_type: [\\\"Le type d'organisation (publicateur) est invalide\\\"]}\"} == res\n  end\n\n  test \"dataset last resource history\" do\n    dataset = insert(:dataset)\n\n    r1 = insert(:resource, dataset_id: dataset.id)\n    insert(:resource_history, resource_id: r1.id, inserted_at: DateTime.utc_now() |> DateTime.add(-3, :day))\n    rh = insert(:resource_history, resource_id: r1.id, inserted_at: DateTime.utc_now())\n\n    r2 = insert(:resource, dataset_id: dataset.id)\n\n    insert(:resource)\n\n    last_resource_history = DB.Dataset.last_resource_history(dataset.id)\n\n    assert length(last_resource_history) == 2\n    assert last_resource_history |> Enum.find(&(&1.id == r1.id)) |> Map.get(:resource_history) == [rh]\n    assert last_resource_history |> Enum.find(&(&1.id == r2.id)) |> Map.get(:resource_history) == []\n  end\n\n  test \"changeset with aom legal owners\" do\n    %{id: aom_id} = aom = insert(:aom)\n    dataset = insert(:dataset, legal_owners_aom: [aom])\n    assert [aom] == dataset.legal_owners_aom\n\n    # this function should not erase the associated legal owners\n    {:ok, changeset} = DB.Dataset.changeset(%{\"dataset_id\" => dataset.id, \"custom_title\" => \"Nouveau titre\"})\n    DB.Repo.update!(changeset)\n\n    dataset = DB.Dataset |> preload(:legal_owners_aom) |> DB.Repo.get!(dataset.id)\n    assert [%DB.AOM{id: ^aom_id}] = dataset.legal_owners_aom\n  end\n\n  test \"changeset with region legal owners\" do\n    %{id: region_id} = region = insert(:region)\n    dataset = insert(:dataset, datagouv_id: datagouv_id = \"some_datagouv_id\", legal_owners_region: [region])\n    assert [region] == dataset.legal_owners_region\n\n    # this time we test the changeset function with the datagouv_id\n    {:ok, changeset} = DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id, \"custom_title\" => \"Nouveau titre\"})\n    DB.Repo.update!(changeset)\n\n    dataset = DB.Dataset |> preload(:legal_owners_region) |> DB.Repo.get!(dataset.id)\n    assert [%DB.Region{id: ^region_id}] = dataset.legal_owners_region\n  end\n\n  test \"changeset with offers\" do\n    %DB.Offer{id: offer_id} = offer = insert(:offer)\n    dataset = insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate(), offers: [offer])\n    assert [offer] == dataset.offers\n\n    # this time we test the changeset function with the datagouv_id\n    {:ok, changeset} = DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id, \"custom_title\" => \"Nouveau titre\"})\n    DB.Repo.update!(changeset)\n\n    dataset = DB.Dataset |> preload(:offers) |> DB.Repo.get!(dataset.id)\n    assert [%DB.Offer{id: ^offer_id}] = dataset.offers\n  end\n\n  test \"changeset with dataset_subtype\" do\n    %DB.DatasetSubtype{id: id} =\n      dataset_subtype = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"urban\")\n\n    dataset = insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate(), dataset_subtypes: [dataset_subtype])\n    assert [dataset_subtype] == dataset.dataset_subtypes\n\n    {:ok, changeset} = DB.Dataset.changeset(%{\"datagouv_id\" => datagouv_id, \"custom_title\" => \"Nouveau titre\"})\n    DB.Repo.update!(changeset)\n\n    dataset = DB.Dataset |> preload(:dataset_subtypes) |> DB.Repo.get!(dataset.id)\n    assert [%DB.DatasetSubtype{id: ^id}] = dataset.dataset_subtypes\n  end\n\n  test \"cannot insert a dataset with a nil organization_id\" do\n    message = ~r|null value in column \"organization_id\" of relation \"dataset\" violates not-null constraint|\n\n    assert_raise Postgrex.Error, message, fn ->\n      insert(:dataset, organization_id: nil)\n    end\n  end\n\n  describe \"organization\" do\n    test \"sets an existing org\" do\n      pan_org = %{\n        acronym: nil,\n        badges: [],\n        id: org_id = Ecto.UUID.generate(),\n        logo: \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-original.png\",\n        logo_thumbnail: \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-100.png\",\n        name: \"PAN\",\n        slug: \"equipe-transport-data-gouv-fr\"\n      }\n\n      insert(:organization, pan_org)\n      dataset = insert(:dataset)\n\n      {:ok, %Ecto.Changeset{} = changeset} =\n        DB.Dataset.changeset(%{\n          \"datagouv_id\" => dataset.datagouv_id,\n          \"organization\" => pan_org |> Map.new(fn {k, v} -> {to_string(k), v} end)\n        })\n\n      DB.Repo.update!(changeset)\n\n      assert %DB.Organization{id: ^org_id} =\n               dataset |> DB.Repo.reload() |> DB.Repo.preload(:organization_object) |> Map.fetch!(:organization_object)\n    end\n\n    test \"creates and sets an org\" do\n      pan_org = %{\n        \"acronym\" => nil,\n        \"badges\" => [],\n        \"id\" => org_id = Ecto.UUID.generate(),\n        \"logo\" => \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-original.png\",\n        \"logo_thumbnail\" => \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-100.png\",\n        \"name\" => \"PAN\",\n        \"slug\" => \"equipe-transport-data-gouv-fr\"\n      }\n\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n\n      {:ok, %Ecto.Changeset{} = changeset} =\n        DB.Dataset.changeset(%{\"datagouv_id\" => dataset.datagouv_id, \"organization\" => pan_org})\n\n      DB.Repo.update!(changeset)\n\n      assert %DB.Organization{id: ^org_id} =\n               dataset |> DB.Repo.reload() |> DB.Repo.preload(:organization_object) |> Map.fetch!(:organization_object)\n\n      assert [%DB.Dataset{id: ^dataset_id}] =\n               DB.Organization |> DB.Repo.one!() |> DB.Repo.preload(:datasets) |> Map.fetch!(:datasets)\n    end\n  end\n\n  test \"target_conversion_formats\" do\n    assert [:GeoJSON] ==\n             DB.Dataset.target_conversion_formats(%DB.Dataset{resources: [%DB.Resource{format: \"gtfs\"}]})\n\n    assert [:GeoJSON] ==\n             DB.Dataset.target_conversion_formats(%DB.Dataset{\n               resources: [%DB.Resource{format: \"gtfs\"}, %DB.Resource{format: \"NeTEx\"}]\n             })\n\n    assert [:GeoJSON] ==\n             DB.Dataset.target_conversion_formats(%DB.Dataset{\n               resources: [%DB.Resource{format: \"gtfs\"}, %DB.Resource{format: \"NeTEx\"}]\n             })\n  end\n\n  test \"query scopes\" do\n    %DB.Dataset{} = active_dataset = insert(:dataset, is_active: true)\n    %DB.Dataset{} = hidden_dataset = insert(:dataset, is_active: true, is_hidden: true)\n    %DB.Dataset{} = inactive_dataset = insert(:dataset, is_active: false)\n    %DB.Dataset{} = archived_dataset = insert(:dataset, is_active: true, archived_at: DateTime.utc_now())\n\n    ids = fn datasets ->\n      datasets |> Enum.map(fn %DB.Dataset{id: id} -> id end) |> MapSet.new()\n    end\n\n    assert ids.([active_dataset, archived_dataset]) == DB.Dataset.base_query() |> DB.Repo.all() |> ids.()\n    assert ids.([archived_dataset]) == DB.Dataset.archived() |> DB.Repo.all() |> ids.()\n    assert ids.([inactive_dataset]) == DB.Dataset.inactive() |> DB.Repo.all() |> ids.()\n    assert ids.([hidden_dataset]) == DB.Dataset.hidden() |> DB.Repo.all() |> ids.()\n\n    assert ids.([active_dataset, hidden_dataset, archived_dataset]) ==\n             DB.Dataset.base_with_hidden_datasets() |> DB.Repo.all() |> ids.()\n  end\n\n  test \"new covered area in a dataset, create and edit\" do\n    departement = insert(:administrative_division)\n\n    assert {:ok, changeset} =\n             DB.Dataset.changeset(%{\n               \"datagouv_id\" => \"12345079\",\n               \"custom_title\" => \"Blaaah\",\n               \"datagouv_title\" => \"title\",\n               \"type\" => \"public-transit\",\n               \"licence\" => \"lov2\",\n               \"slug\" => \"ma_limace\",\n               \"created_at\" => DateTime.utc_now(),\n               \"last_update\" => DateTime.utc_now(),\n               \"logo\" => \"https://example.com/pic.jpg\",\n               \"full_logo\" => \"https://example.com/pic.jpg\",\n               \"frequency\" => \"daily\",\n               \"declarative_spatial_areas\" => [departement.id],\n               \"region_id\" => 1,\n               \"organization_id\" => Ecto.UUID.generate(),\n               \"tags\" => [],\n               \"nb_reuses\" => 0\n             })\n\n    {:ok, dataset} = changeset |> DB.Repo.insert_or_update()\n\n    dataset = dataset |> DB.Repo.preload(:declarative_spatial_areas)\n\n    [linked_departement] = dataset.declarative_spatial_areas\n\n    assert linked_departement.id == departement.id\n    assert linked_departement.nom == \"Isère\"\n\n    # We’ll see if edit works too\n\n    commune =\n      insert(:administrative_division, %{type: \"commune\", nom: \"Grenoble\", insee: \"38185\", type_insee: \"commune_38185\"})\n\n    assert {:ok, changeset} =\n             DB.Dataset.changeset(%{\n               \"datagouv_id\" => dataset.datagouv_id,\n               \"declarative_spatial_areas\" => [commune.id, departement.id]\n             })\n\n    {:ok, changed_dataset} = changeset |> DB.Repo.insert_or_update()\n\n    changed_dataset = changed_dataset |> DB.Repo.preload(:declarative_spatial_areas)\n\n    # Should still be the same dataset\n    assert changed_dataset.id == dataset.id\n\n    [updated_area_1, updated_area_2] = changed_dataset.declarative_spatial_areas\n    assert updated_area_1.id == departement.id\n    assert updated_area_2.id == commune.id\n\n    # Make sure we don't erase existing covered areas\n    assert {:ok, changeset} =\n             DB.Dataset.changeset(%{\n               \"datagouv_id\" => dataset.datagouv_id\n             })\n\n    {:ok, changed_dataset} = changeset |> DB.Repo.update()\n\n    changed_dataset = changed_dataset |> DB.Repo.preload(:declarative_spatial_areas)\n\n    # Should still be the same dataset\n    assert changed_dataset.id == dataset.id\n\n    [updated_area_1, updated_area_2] = changed_dataset.declarative_spatial_areas\n    assert updated_area_1.id == departement.id\n    assert updated_area_2.id == commune.id\n  end\n\n  test \"sets population from declarative_spatial_areas\" do\n    departement =\n      insert(:administrative_division, type: :departement, insee: \"01\", type_insee: \"departement_01\", population: 10)\n\n    commune = insert(:administrative_division, type: :commune, insee: \"02\", type_insee: \"commune_02\", population: 1)\n    dataset = insert(:dataset, population: 0)\n\n    assert {:ok, changeset} =\n             DB.Dataset.changeset(%{\n               \"datagouv_id\" => dataset.datagouv_id,\n               \"declarative_spatial_areas\" => [commune.id, departement.id]\n             })\n\n    expected = commune.population + departement.population\n    {:ok, %DB.Dataset{population: ^expected}} = changeset |> DB.Repo.insert_or_update()\n  end\n\n  test \"spatial area overlap\" do\n    region =\n      insert(:administrative_division,\n        geom: %Geo.Polygon{\n          coordinates: [\n            [\n              {55.0, 3.0},\n              {60.0, 3.0},\n              {60.0, 5.0},\n              {55.0, 5.0},\n              {55.0, 3.0}\n            ]\n          ],\n          srid: 4326\n        }\n      )\n\n    commune =\n      insert(:administrative_division,\n        type_insee: \"commune\",\n        geom: %Geo.Polygon{\n          coordinates: [\n            [\n              {58.0, 4.0},\n              {62.0, 4.0},\n              {62.0, 6.0},\n              {58.0, 6.0},\n              {58.0, 4.0}\n            ]\n          ],\n          srid: 4326\n        }\n      )\n\n    dataset = insert(:dataset, declarative_spatial_areas: [region, commune])\n\n    assert {{:error, ~s|%{declarative_spatial_areas: [\"Spatial areas overlap\"]}|}, logs} =\n             with_log(fn -> DB.Dataset.changeset(%{\"datagouv_id\" => dataset.datagouv_id}) end)\n\n    assert logs =~ \"error while importing dataset: %{declarative_spatial_areas\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/geom_test.exs",
    "content": "defmodule DB.GeomTest do\n  @moduledoc \"\"\"\n  Tests on geom fields\n  \"\"\"\n  use ExUnit.Case, async: true\n  import Ecto.Query\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    insert(:region)\n    insert(:aom)\n    insert(:commune)\n    :ok\n  end\n\n  # NOTE: we could add DB.DatasetGeographicView here, but we lack an example record\n  @modules [DB.Region, DB.AOM, DB.Commune]\n\n  Enum.each(@modules, fn tested_module ->\n    test \"geom support for #{tested_module |> inspect}\" do\n      # load the test record\n      instance = unquote(tested_module) |> last() |> DB.Repo.one!()\n      assert instance.geom == nil\n\n      # create a geometry from text (unrelated to Ecto)\n      geom =\n        \"SRID=4326;POLYGON((55.58320119999998 -21.37236860026815,55.55105419999999 -21.37434010026793,55.53599659999998 -21.36315530026913,55.58320119999998 -21.37236860026815))\"\n        |> Geo.WKT.decode!()\n\n      assert geom.srid == 4326\n      assert geom.properties == %{}\n\n      assert geom.coordinates == [\n               [\n                 {55.58320119999998, -21.37236860026815},\n                 {55.55105419999999, -21.37434010026793},\n                 {55.53599659999998, -21.36315530026913},\n                 {55.58320119999998, -21.37236860026815}\n               ]\n             ]\n\n      # update the record (geo_postgis should serialize as needed)\n      instance =\n        instance\n        |> Ecto.Changeset.change(%{geom: geom})\n        |> DB.Repo.update!(returning: true)\n\n      # reload after save, just unserialize as needed, and leave unchanged\n      assert instance.geom == geom\n    end\n  end)\nend\n"
  },
  {
    "path": "apps/transport/test/db/irve_valid_pdc_test.exs",
    "content": "defmodule DB.IRVEValidPDCTest do\n  use ExUnit.Case, async: true\n\n  @moduledoc \"\"\"\n  This module is mostly empty as the behaviours of DB.IRVEValidPDC and DB.IRVEValidFile\n  are already tested through Transport.IRVE.DatabaseImporter.\n  \"\"\"\n\n  test \"all IRVE static schema fields are present\" do\n    official_schema_fields = Transport.IRVE.StaticIRVESchema.field_names_list()\n    ecto_schema_fields = DB.IRVEValidPDC.__schema__(:fields) |> Enum.map(&Atom.to_string/1)\n\n    assert official_schema_fields -- [\"coordonneesXY\"] ==\n             ecto_schema_fields --\n               [\"id\", \"irve_valid_file_id\", \"inserted_at\", \"updated_at\", \"longitude\", \"latitude\"]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/metrics_test.exs",
    "content": "defmodule DB.MetricsTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Transport.Telemetry, only: [truncate_datetime_to_hour: 1]\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n\n    today = truncate_datetime_to_hour(DateTime.utc_now())\n    yesterday = truncate_datetime_to_hour(DateTime.add(DateTime.utc_now(), -1 * 24 * 60 * 60, :second))\n\n    DB.Repo.delete_all(DB.Metrics)\n    insert(:metrics, target: \"foo\", event: \"internal\", count: 5, period: yesterday)\n    insert(:metrics, target: \"foo\", event: \"internal\", count: 3, period: today)\n    insert(:metrics, target: \"foo\", event: \"external\", count: 3, period: today)\n    insert(:metrics, target: \"bar\", event: \"external\", count: 2, period: today)\n\n    :ok\n  end\n\n  test \"requests_over_last_days\" do\n    today = truncate_datetime_to_hour(DateTime.utc_now())\n    yesterday = truncate_datetime_to_hour(DateTime.add(DateTime.utc_now(), -1, :day))\n\n    gtfs_rt_resource =\n      insert(:resource,\n        format: \"gtfs-rt\",\n        url: \"https://proxy.transport.data.gouv.fr/resource/divia-dijon-gtfs-rt-trip-update\"\n      )\n\n    insert(:metrics,\n      target: \"proxy:divia-dijon-gtfs-rt-trip-update\",\n      event: \"proxy:request:external\",\n      count: 2,\n      period: today\n    )\n\n    insert(:metrics,\n      target: \"proxy:divia-dijon-gtfs-rt-trip-update\",\n      event: \"proxy:request:internal\",\n      count: 1,\n      period: today\n    )\n\n    insert(:metrics,\n      target: \"proxy:divia-dijon-gtfs-rt-trip-update\",\n      event: \"proxy:request:external\",\n      count: 3,\n      period: yesterday\n    )\n\n    insert(:metrics,\n      target: \"proxy:divia-dijon-gtfs-rt-trip-update\",\n      event: \"proxy:request:internal\",\n      count: 1,\n      period: yesterday\n    )\n\n    assert [\n             %{date: Date.utc_today() |> Date.add(-1), requests_external: 3, requests_internal: 1},\n             %{date: Date.utc_today(), requests_external: 2, requests_internal: 1}\n           ] ==\n             DB.Metrics.requests_over_last_days(gtfs_rt_resource, 2)\n  end\n\n  test \"proxy_requests\" do\n    slug = \"divia-dijon-gtfs-rt-trip-update\"\n\n    gtfs_rt_resource =\n      insert(:resource,\n        format: \"gtfs-rt\",\n        url: \"https://proxy.transport.data.gouv.fr/resource/#{slug}\"\n      )\n\n    insert(:metrics,\n      target: \"proxy:#{slug}\",\n      event: \"proxy:request:external\",\n      count: 2,\n      period: ~U[2025-12-01 10:00:00.0Z]\n    )\n\n    insert(:metrics,\n      target: \"proxy:#{slug}\",\n      event: \"proxy:request:internal\",\n      count: 1,\n      period: ~U[2025-12-01 10:00:00.0Z]\n    )\n\n    insert(:metrics,\n      target: \"proxy:#{slug}\",\n      event: \"proxy:request:external\",\n      count: 3,\n      period: ~U[2025-11-01 10:00:00.0Z]\n    )\n\n    insert(:metrics,\n      target: \"proxy:#{slug}\",\n      event: \"proxy:request:internal\",\n      count: 1,\n      period: ~U[2025-11-01 10:00:00.0Z]\n    )\n\n    assert [\n             %{\n               count: 3,\n               month: \"2025-11\",\n               target: \"proxy:divia-dijon-gtfs-rt-trip-update\",\n               event: \"proxy:request:external\"\n             },\n             %{\n               count: 1,\n               month: \"2025-11\",\n               target: \"proxy:divia-dijon-gtfs-rt-trip-update\",\n               event: \"proxy:request:internal\"\n             },\n             %{\n               count: 2,\n               month: \"2025-12\",\n               target: \"proxy:divia-dijon-gtfs-rt-trip-update\",\n               event: \"proxy:request:external\"\n             },\n             %{\n               count: 1,\n               month: \"2025-12\",\n               target: \"proxy:divia-dijon-gtfs-rt-trip-update\",\n               event: \"proxy:request:internal\"\n             }\n           ] == DB.Metrics.proxy_requests([gtfs_rt_resource])\n  end\n\n  describe \"for_last_days\" do\n    test \"it works\" do\n      assert %{\"bar\" => %{\"external\" => 2}, \"foo\" => %{\"external\" => 3, \"internal\" => 8}} == DB.Metrics.for_last_days(2)\n      assert %{\"bar\" => %{\"external\" => 2}, \"foo\" => %{\"external\" => 3, \"internal\" => 3}} == DB.Metrics.for_last_days(1)\n    end\n\n    test \"it can filter by events\" do\n      assert %{} == DB.Metrics.for_last_days(3, [\"nope\"])\n      assert %{\"foo\" => %{\"internal\" => 8}} == DB.Metrics.for_last_days(2, [\"internal\"])\n      assert %{\"foo\" => %{\"internal\" => 3}} == DB.Metrics.for_last_days(1, [\"internal\"])\n    end\n\n    test \"does not handle negative days\" do\n      assert_raise FunctionClauseError, fn -> DB.Metrics.for_last_days(-1) end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/multi_validation_test.exs",
    "content": "defmodule DB.MultiValidationTest do\n  use ExUnit.Case, async: true\n  doctest DB.MultiValidation, import: true\n  import DB.Factory\n  import Ecto.Query\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"already validated\" do\n    %{id: resource_history_id} = resource_history = insert(:resource_history)\n\n    refute DB.MultiValidation.already_validated?(resource_history, Transport.Validators.Dummy)\n\n    # wrong validator name\n    insert(:multi_validation, %{validator: \"random validator\", resource_history_id: resource_history_id})\n    refute DB.MultiValidation.already_validated?(resource_history, Transport.Validators.Dummy)\n\n    insert(:multi_validation, %{\n      validator: Transport.Validators.Dummy.validator_name(),\n      resource_history_id: resource_history_id\n    })\n\n    assert DB.MultiValidation.already_validated?(resource_history, Transport.Validators.Dummy)\n  end\n\n  describe \"get latest associated multi validation\" do\n    test \"get resource latest validation\" do\n      now = DateTime.utc_now()\n      before60 = DateTime.utc_now() |> DateTime.add(-60)\n      before90 = DateTime.utc_now() |> DateTime.add(-90)\n\n      validator = Transport.Validators.GTFSTransport\n      validator_name = validator.validator_name()\n\n      # one dataset\n      %{id: dataset_id} = insert(:dataset)\n\n      # one resource\n      %{id: resource_id} = insert(:resource, %{dataset_id: dataset_id})\n\n      # one resource history with some validations\n      %{id: resource_history_id_latest} = insert(:resource_history, %{resource_id: resource_id, inserted_at: now})\n\n      insert(:multi_validation, %{\n        resource_history_id: resource_history_id_latest,\n        validator: \"other\",\n        validation_timestamp: now\n      })\n\n      insert(:multi_validation, %{\n        resource_history_id: resource_history_id_latest,\n        validator: validator_name,\n        validation_timestamp: before90\n      })\n\n      %{id: mv_id} =\n        insert(:multi_validation, %{\n          resource_history_id: resource_history_id_latest,\n          validator: validator_name,\n          validation_timestamp: before60\n        })\n\n      # a second older resource history\n      %{id: resource_history_id} = insert(:resource_history, %{resource_id: resource_id, inserted_at: before60})\n\n      # with a very recent validation (it's a trap!)\n      insert(:multi_validation, %{\n        resource_history_id: resource_history_id,\n        validator: validator_name,\n        validation_timestamp: now\n      })\n\n      assert %{id: ^mv_id, resource_history_id: ^resource_history_id_latest} =\n               DB.MultiValidation.resource_latest_validation(resource_id, validator)\n\n      dataset_validations = DB.MultiValidation.dataset_latest_validation(dataset_id, [validator])\n\n      assert [%{id: ^mv_id, resource_history_id: ^resource_history_id_latest}] =\n               dataset_validations |> Map.get(resource_id)\n    end\n\n    test \"resource_latest_validation scopes by resource_id\" do\n      now = DateTime.utc_now()\n      before60 = DateTime.utc_now() |> DateTime.add(-60)\n\n      validator = Transport.Validators.GTFSTransport\n      validator_name = validator.validator_name()\n\n      %{id: dataset_id} = insert(:dataset)\n      %{id: resource_id1} = insert(:resource, %{dataset_id: dataset_id})\n      %{id: resource_id2} = insert(:resource, %{dataset_id: dataset_id})\n\n      # one resource history with a validation for resource_id1\n      %{id: resource_history_id1} = insert(:resource_history, %{resource_id: resource_id1, inserted_at: before60})\n\n      %{id: mv_id1} =\n        insert(:multi_validation, %{\n          resource_history_id: resource_history_id1,\n          validator: validator_name,\n          validation_timestamp: before60\n        })\n\n      # resource history and recent validation for resource_id2\n      %{id: resource_history_id2} = insert(:resource_history, %{resource_id: resource_id2, inserted_at: now})\n\n      %{id: mv_id2} =\n        insert(:multi_validation, %{\n          resource_history_id: resource_history_id2,\n          validator: validator_name,\n          validation_timestamp: now\n        })\n\n      assert %{id: ^mv_id1, resource_history_id: ^resource_history_id1} =\n               DB.MultiValidation.resource_latest_validation(resource_id1, validator)\n\n      # Making sure dataset_latest_validation works as well\n      dataset_validations = DB.MultiValidation.dataset_latest_validation(dataset_id, [validator])\n\n      assert [%{id: ^mv_id1, resource_history_id: ^resource_history_id1}] = dataset_validations |> Map.get(resource_id1)\n      assert [%{id: ^mv_id2, resource_history_id: ^resource_history_id2}] = dataset_validations |> Map.get(resource_id2)\n    end\n\n    test \"no resource latest validation, resource alone\" do\n      validator = Transport.Validators.GTFSTransport\n      %{id: dataset_id} = insert(:dataset)\n      %{id: resource_id} = insert(:resource, %{dataset_id: dataset_id})\n\n      assert nil == DB.MultiValidation.resource_latest_validation(resource_id, validator)\n\n      dataset_validations = DB.MultiValidation.dataset_latest_validation(dataset_id, [validator])\n      assert [nil] == dataset_validations |> Map.get(resource_id, \"nothing\")\n    end\n\n    test \"no resource latest validation, resource + resource_history\" do\n      validator = Transport.Validators.GTFSTransport\n      %{id: dataset_id} = insert(:dataset)\n      %{id: resource_id} = insert(:resource, %{dataset_id: dataset_id})\n      insert(:resource_history, %{resource_id: resource_id})\n\n      assert nil == DB.MultiValidation.resource_latest_validation(resource_id, validator)\n\n      dataset_validations = DB.MultiValidation.dataset_latest_validation(dataset_id, [validator])\n      assert [nil] == dataset_validations |> Map.get(resource_id, \"nothing\")\n    end\n\n    test \"no resource latest validation with specified validator\" do\n      validator = Transport.Validators.GTFSTransport\n      %{id: dataset_id} = insert(:dataset)\n      %{id: resource_id} = insert(:resource, %{dataset_id: dataset_id})\n      %{id: resource_history_id} = insert(:resource_history, %{resource_id: resource_id})\n\n      insert(:multi_validation, %{\n        resource_history_id: resource_history_id,\n        validator: \"other_validator_name\"\n      })\n\n      assert nil == DB.MultiValidation.resource_latest_validation(resource_id, validator)\n\n      dataset_validations = DB.MultiValidation.dataset_latest_validation(dataset_id, [validator])\n      assert [nil] == dataset_validations |> Map.get(resource_id, \"nothing\")\n    end\n\n    test \"dataset validations, multiple resources and validators\" do\n      validator_1 = Transport.Validators.GTFSTransport\n      validator_1_name = validator_1.validator_name()\n      validator_2 = Transport.Validators.Dummy\n      validator_2_name = validator_2.validator_name()\n\n      %{id: dataset_id} = insert(:dataset)\n\n      %{id: resource_id_1} = insert(:resource, %{dataset_id: dataset_id})\n      %{id: resource_id_2} = insert(:resource, %{dataset_id: dataset_id})\n      %{id: resource_id_3} = insert(:resource, %{dataset_id: dataset_id})\n\n      %{id: resource_history_id_1} = insert(:resource_history, %{resource_id: resource_id_1})\n      %{id: resource_history_id_2} = insert(:resource_history, %{resource_id: resource_id_2})\n\n      insert(:multi_validation, %{\n        resource_history_id: resource_history_id_1,\n        validator: validator_1.validator_name()\n      })\n\n      insert(:multi_validation, %{\n        resource_history_id: resource_history_id_1,\n        validator: validator_2.validator_name()\n      })\n\n      insert(:multi_validation, %{\n        resource_history_id: resource_history_id_2,\n        validator: validator_1.validator_name()\n      })\n\n      validations = DB.MultiValidation.dataset_latest_validation(dataset_id, [validator_1, validator_2])\n\n      resource_1_validations = validations |> Map.get(resource_id_1) |> Enum.sort_by(fn %{id: id} -> id end)\n\n      assert [\n               %{resource_history_id: ^resource_history_id_1, validator: ^validator_1_name},\n               %{resource_history_id: ^resource_history_id_1, validator: ^validator_2_name}\n             ] = resource_1_validations\n\n      assert [%{resource_history_id: ^resource_history_id_2, validator: ^validator_1_name}] =\n               validations |> Map.get(resource_id_2)\n\n      assert [nil] = validations |> Map.get(resource_id_3)\n    end\n\n    test \"dataset_latest_validation with ResourceMetadata joined by multi_validation_id\" do\n      validator_1 = Transport.Validators.GTFSTransport\n\n      %{id: dataset_id} = insert(:dataset)\n      %{id: resource_id_1} = insert(:resource, %{dataset_id: dataset_id})\n      %{id: resource_history_id_1} = insert(:resource_history, %{resource_id: resource_id_1})\n\n      %{id: multi_validation_id} =\n        insert(:multi_validation, %{\n          resource_history_id: resource_history_id_1,\n          validator: validator_1.validator_name(),\n          metadata: %DB.ResourceMetadata{metadata: %{\"foo\" => \"bar\"}}\n        })\n\n      validations = DB.MultiValidation.dataset_latest_validation(dataset_id, [validator_1])\n\n      resource_1_validations = validations |> Map.get(resource_id_1)\n\n      assert Enum.count(resource_1_validations) == 1\n      latest_multi_validation = hd(resource_1_validations)\n\n      assert %{metadata: %{\"foo\" => \"bar\"}, multi_validation_id: ^multi_validation_id} =\n               latest_multi_validation.metadata\n\n      assert DB.MultiValidation.get_metadata_info(latest_multi_validation, \"foo\") == \"bar\"\n      assert is_nil(DB.MultiValidation.get_metadata_info(latest_multi_validation, \"baz\"))\n    end\n  end\n\n  test \"latest resource validation (no resource history)\" do\n    # when validating a GTFS-RT, the resource is validated but there is no resource_history.\n    validator = Transport.Validators.GTFSRT\n    validator_name = validator.validator_name()\n\n    dataset = insert(:dataset)\n\n    resource = insert(:resource, dataset_id: dataset.id)\n    other_resource = insert(:resource, dataset_id: dataset.id)\n\n    # old\n    insert(:multi_validation,\n      resource_id: resource.id,\n      validation_timestamp: DateTime.utc_now() |> DateTime.add(-120),\n      validator: validator_name\n    )\n\n    # bad validator\n    insert(:multi_validation,\n      resource_id: resource.id,\n      validation_timestamp: DateTime.utc_now() |> DateTime.add(-30),\n      validator: \"xxx\"\n    )\n\n    # good\n    %{id: mv_id} =\n      insert(:multi_validation,\n        resource_id: resource.id,\n        validation_timestamp: DateTime.utc_now() |> DateTime.add(-60),\n        validator: validator_name\n      )\n\n    # other resource\n    %{id: other_mv_id} =\n      insert(:multi_validation,\n        resource_id: other_resource.id,\n        validation_timestamp: DateTime.utc_now(),\n        validator: validator_name\n      )\n\n    assert %{id: ^mv_id} = DB.MultiValidation.resource_latest_validation(resource.id, validator)\n\n    validations = DB.MultiValidation.dataset_latest_validation(dataset.id, [validator])\n\n    assert [%{id: ^mv_id}] = validations |> Map.get(resource.id)\n    assert [%{id: ^other_mv_id}] = validations |> Map.get(other_resource.id)\n  end\n\n  test \"composable join query for latest validation\" do\n    resource_history = insert(:resource_history)\n    insert(:resource_history)\n\n    mv1 =\n      insert(:multi_validation,\n        resource_history_id: resource_history.id,\n        validator: \"v1\",\n        inserted_at: DateTime.utc_now()\n      )\n\n    insert(:multi_validation,\n      resource_history_id: resource_history.id,\n      validator: \"v2\",\n      inserted_at: DateTime.utc_now() |> DateTime.add(-100)\n    )\n\n    mv2 =\n      insert(:multi_validation,\n        resource_history_id: resource_history.id,\n        validator: \"v2\",\n        inserted_at: DateTime.utc_now() |> DateTime.add(-50)\n      )\n\n    assert mv2 ==\n             DB.ResourceHistory.base_query()\n             |> where([resource_history: rh], rh.id == ^resource_history.id)\n             |> DB.MultiValidation.join_resource_history_with_latest_validation(\"v2\")\n             |> select([multi_validation: mv], mv)\n             |> DB.Repo.one!()\n\n    assert mv1 ==\n             DB.ResourceHistory.base_query()\n             |> where([resource_history: rh], rh.id == ^resource_history.id)\n             |> DB.MultiValidation.join_resource_history_with_latest_validation([\"v1\", \"v2\"])\n             |> select([multi_validation: mv], mv)\n             |> DB.Repo.one!()\n  end\n\n  test \"latest validation for a resource history\" do\n    rh = insert(:resource_history)\n    other_rh = insert(:resource_history)\n\n    gtfs_validator = Transport.Validators.GTFSTransport\n    gtfs_rt_validator = Transport.Validators.GTFSRT\n\n    %{id: mv_id_1} =\n      insert(:multi_validation,\n        resource_history_id: rh.id,\n        validator: gtfs_rt_validator.validator_name(),\n        inserted_at: DateTime.utc_now()\n      )\n\n    _mv2 =\n      insert(:multi_validation,\n        resource_history_id: other_rh.id,\n        validator: gtfs_validator.validator_name(),\n        inserted_at: DateTime.utc_now()\n      )\n\n    %{id: mv_id_3} =\n      insert(:multi_validation,\n        resource_history_id: rh.id,\n        validator: gtfs_validator.validator_name(),\n        inserted_at: DateTime.utc_now() |> DateTime.add(-600)\n      )\n\n    assert is_nil(DB.MultiValidation.resource_history_latest_validation(rh.id, nil))\n\n    assert %{id: ^mv_id_3} = DB.MultiValidation.resource_history_latest_validation(rh.id, gtfs_validator)\n\n    assert %{id: ^mv_id_1} = DB.MultiValidation.resource_history_latest_validation(rh.id, gtfs_rt_validator)\n  end\n\n  test \"resource_latest_validations\" do\n    resource = insert(:resource)\n\n    gtfs_validator = Transport.Validators.GTFSTransport\n    gtfs_rt_validator = Transport.Validators.GTFSRT\n\n    %{id: mv_id_1} =\n      insert(:multi_validation,\n        resource_id: resource.id,\n        validator: gtfs_rt_validator.validator_name(),\n        inserted_at: DateTime.utc_now()\n      )\n\n    %{id: mv_id_2} =\n      insert(:multi_validation,\n        resource_id: resource.id,\n        validator: gtfs_validator.validator_name(),\n        inserted_at: DateTime.utc_now()\n      )\n\n    %{id: mv_id_3} =\n      insert(:multi_validation,\n        resource_id: resource.id,\n        validator: gtfs_rt_validator.validator_name(),\n        inserted_at: DateTime.utc_now() |> DateTime.add(-600)\n      )\n\n    assert [%{id: ^mv_id_1}, %{id: ^mv_id_3}] =\n             DB.MultiValidation.resource_latest_validations(\n               resource.id,\n               gtfs_rt_validator,\n               DateTime.utc_now() |> DateTime.add(-700)\n             )\n\n    assert [%{id: ^mv_id_1}] =\n             DB.MultiValidation.resource_latest_validations(\n               resource.id,\n               gtfs_rt_validator,\n               DateTime.utc_now() |> DateTime.add(-500)\n             )\n\n    assert [%{id: ^mv_id_2}] =\n             DB.MultiValidation.resource_latest_validations(\n               resource.id,\n               gtfs_validator,\n               DateTime.utc_now() |> DateTime.add(-500)\n             )\n\n    assert [] ==\n             DB.MultiValidation.resource_latest_validations(\n               insert(:resource).id,\n               gtfs_validator,\n               DateTime.utc_now() |> DateTime.add(-500)\n             )\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/notification_subscription_test.exs",
    "content": "defmodule DB.NotificationSubscriptionTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  alias DB.NotificationSubscription\n\n  doctest NotificationSubscription, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"changeset\" do\n    contact = insert_contact()\n    dataset = insert(:dataset)\n    changeset = fn args -> NotificationSubscription.changeset(%NotificationSubscription{}, args) end\n\n    # valid cases\n    assert %Ecto.Changeset{valid?: true} =\n             changeset.(%{\n               role: :reuser,\n               source: :admin,\n               reason: :datasets_switching_climate_resilience_bill,\n               contact_id: contact.id\n             })\n\n    assert %Ecto.Changeset{valid?: true} =\n             changeset.(%{\n               role: :producer,\n               source: :admin,\n               reason: :expiration,\n               contact_id: contact.id,\n               dataset_id: dataset.id\n             })\n\n    assert {:error, %Ecto.Changeset{valid?: false, errors: [dataset: {\"does not exist\", _}]}} =\n             %{\n               source: :admin,\n               role: :producer,\n               reason: :expiration,\n               contact_id: contact.id,\n               dataset_id: -1\n             }\n             |> changeset.()\n             |> DB.Repo.insert()\n\n    # `contact_id` can never be blank and should exist\n    assert %Ecto.Changeset{valid?: false, errors: [contact_id: {\"can't be blank\", [validation: :required]}]} =\n             changeset.(%{\n               source: :admin,\n               role: :reuser,\n               reason: :datasets_switching_climate_resilience_bill,\n               contact_id: nil\n             })\n\n    assert {:error, %Ecto.Changeset{valid?: false, errors: [contact: {\"does not exist\", _}]}} =\n             %{\n               source: :admin,\n               role: :reuser,\n               reason: :datasets_switching_climate_resilience_bill,\n               contact_id: -1\n             }\n             |> changeset.()\n             |> DB.Repo.insert()\n\n    # `source` and `role` are enums\n    assert %Ecto.Changeset{\n             valid?: false,\n             errors: [\n               reason: {\"is not allowed for the given role\", _},\n               source: {\"is invalid\", _},\n               role: {\"is invalid\", _}\n             ]\n           } =\n             changeset.(%{\n               role: :foo,\n               source: :foo,\n               reason: :datasets_switching_climate_resilience_bill,\n               contact_id: contact.id\n             })\n\n    # Some reasons can’t be possible depending on dataset presence or role\n    assert %Ecto.Changeset{\n             valid?: false,\n             errors: [\n               {:reason, {\"is not allowed for the given role\", _}}\n             ]\n           } =\n             changeset.(%{\n               role: :producer,\n               source: :admin,\n               reason: :resources_changed,\n               contact_id: contact.id,\n               dataset_id: dataset.id\n             })\n\n    assert %Ecto.Changeset{\n             valid?: false,\n             errors: [reason: {\"is not allowed for the given dataset presence\", _}]\n           } =\n             changeset.(%{\n               source: :admin,\n               role: :producer,\n               reason: :expiration,\n               contact_id: contact.id,\n               dataset_id: nil\n             })\n\n    # Some reasons are only there to create individual notifications and are not allowed as subscriptions\n    assert %Ecto.Changeset{\n             valid?: false,\n             errors: [reason: {\"is not allowed for subscription\", _}]\n           } =\n             changeset.(%{\n               source: :admin,\n               role: :producer,\n               reason: :periodic_reminder_producers,\n               contact_id: contact.id,\n               dataset_id: nil\n             })\n  end\n\n  test \"delete a subscription attached to a notification\" do\n    contact = insert_contact()\n\n    ns =\n      insert(:notification_subscription, %{\n        reason: :daily_new_comments,\n        source: :admin,\n        contact_id: contact.id,\n        role: :producer\n      })\n      |> DB.Repo.preload(:contact)\n\n    %DB.Notification{} = notification = DB.Notification.insert!(ns, %{})\n\n    DB.Repo.delete!(ns)\n\n    %DB.Notification{notification_subscription_id: nil} = DB.Repo.reload!(notification)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/notification_test.exs",
    "content": "defmodule DB.NotificationTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"can save objects\" do\n    dataset = insert(:dataset, is_active: true, datagouv_id: Ecto.UUID.generate())\n\n    email = \"foo@example.fr\"\n    other_email = Ecto.UUID.generate() <> \"@example.com\"\n    insert_notification(%{dataset: dataset, role: :producer, reason: :dataset_with_error, email: email})\n    insert_notification(%{dataset: dataset, role: :producer, reason: :dataset_with_error, email: email})\n    insert_notification(%{dataset: dataset, role: :producer, reason: :dataset_with_error, email: other_email})\n\n    # Can query using the hash column dedicated to search\n    rows = DB.Notification |> where([n], n.email_hash == ^email) |> DB.Repo.all()\n    assert 2 == Enum.count(rows)\n\n    assert MapSet.new([email]) == rows |> Enum.map(& &1.email) |> MapSet.new()\n\n    # Cannot get rows by using the value, because the encrypted value changes everytime\n    assert DB.Notification |> where([n], n.email == ^email) |> DB.Repo.all() |> Enum.empty?()\n    # But values are properly decrypted\n    assert MapSet.new([email, other_email]) == DB.Notification |> select([n], n.email) |> DB.Repo.all() |> MapSet.new()\n  end\n\n  test \"can insert without a dataset\" do\n    insert_notification(%{\n      reason: :periodic_reminder_producers,\n      email: email = Ecto.UUID.generate() <> \"@example.fr\",\n      role: :producer\n    })\n\n    assert [%DB.Notification{reason: :periodic_reminder_producers, email: ^email, role: :producer}] =\n             DB.Notification |> DB.Repo.all()\n  end\n\n  test \"recent_reasons\" do\n    dataset = insert(:dataset, is_active: true, datagouv_id: Ecto.UUID.generate())\n    yesterday = DateTime.add(DateTime.utc_now(), -1, :day)\n    email = Ecto.UUID.generate() <> \"@example.com\"\n    other_email = Ecto.UUID.generate() <> \"@example.com\"\n    reuser_email = Ecto.UUID.generate() <> \"@example.com\"\n\n    # Should be ignored, this is an hidden reason\n    insert_notification(%{dataset: dataset, role: :producer, reason: :dataset_now_on_nap, email: email})\n\n    ns1 =\n      insert_notification(%{\n        dataset: dataset,\n        role: :producer,\n        reason: :dataset_with_error,\n        email: email,\n        payload: %{\"job_id\" => 1},\n        inserted_at: %{yesterday | hour: 10, minute: 22}\n      })\n\n    insert_notification(%{\n      dataset: dataset,\n      role: :producer,\n      reason: :dataset_with_error,\n      email: other_email,\n      payload: %{\"job_id\" => 1},\n      inserted_at: %{yesterday | hour: 10, minute: 23}\n    })\n\n    ns2 =\n      insert_notification(%{\n        dataset: dataset,\n        role: :producer,\n        reason: :expiration,\n        email: email,\n        payload: %{\"job_id\" => 2},\n        inserted_at: %{yesterday | hour: 12, minute: 44}\n      })\n\n    # Should be ignored: it's not for an enabled reason\n    insert_notification(%{\n      role: :producer,\n      reason: :promote_producer_space,\n      email: email,\n      payload: %{\"job_id\" => 3},\n      inserted_at: %{yesterday | hour: 15, minute: 32}\n    })\n\n    # Should be ignored: it's for a reuser\n    insert_notification(%{\n      dataset: dataset,\n      role: :reuser,\n      reason: :expiration,\n      email: reuser_email,\n      payload: %{\"job_id\" => 4},\n      inserted_at: %{yesterday | hour: 11, minute: 42}\n    })\n\n    assert [\n             %{reason: :expiration, timestamp: ns2.inserted_at, payload: %{\"job_id\" => 2}},\n             %{reason: :dataset_with_error, timestamp: ns1.inserted_at, payload: %{\"job_id\" => 1}}\n           ] == DB.Notification.recent_reasons(dataset, 7)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/resource_history_test.exs",
    "content": "defmodule DB.ResourceHistoryTest do\n  use ExUnit.Case\n  import DB.ResourceHistory\n  import DB.Factory\n  import Ecto.Query\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  doctest DB.ResourceHistory, import: true\n\n  test \"test fetch latest resource history payload for a resource\" do\n    now = DateTime.utc_now()\n    past = now |> DateTime.add(-3 * 60)\n    pastpast = now |> DateTime.add(-6 * 60)\n\n    %{id: resource_id_1} = insert(:resource)\n    insert(:resource_history, %{resource_id: resource_id_1, inserted_at: past})\n    insert(:resource_history, %{resource_id: resource_id_1, inserted_at: now})\n\n    %{id: resource_id_2} = insert(:resource)\n    insert(:resource_history, %{resource_id: resource_id_2, inserted_at: pastpast})\n\n    insert(:resource_history, %{\n      resource_id: resource_id_2,\n      inserted_at: past,\n      payload: %{\"permanent_url\" => url = \"url\"}\n    })\n\n    assert %DB.ResourceHistory{payload: %{\"permanent_url\" => ^url}} = latest_resource_history(resource_id_2)\n  end\n\n  test \"test fetch latest resource history infos for a dataset\" do\n    now = DateTime.utc_now()\n    past = now |> DateTime.add(-3 * 60)\n    pastpast = now |> DateTime.add(-6 * 60)\n\n    dataset = insert(:dataset)\n\n    # wrong dataset\n    %{id: resource_id_0} = insert(:resource)\n    insert(:resource_history, %{resource_id: resource_id_0, inserted_at: now})\n\n    # no resource history payload\n    %{id: resource_id_1} = insert(:resource, dataset: dataset)\n    insert(:resource_history, %{resource_id: resource_id_1, inserted_at: now})\n\n    # no filesize in payload\n    %{id: resource_id_2} = insert(:resource, dataset: dataset)\n    insert(:resource_history, %{resource_id: resource_id_2, inserted_at: pastpast})\n\n    insert(:resource_history, %{\n      resource_id: resource_id_2,\n      inserted_at: past,\n      payload: %{\"permanent_url\" => r2_url = \"r2_url\"}\n    })\n\n    # all good\n    %{id: resource_id_3} = insert(:resource, dataset: dataset)\n    insert(:resource_history, %{resource_id: resource_id_3, inserted_at: past})\n\n    insert(:resource_history, %{\n      resource_id: resource_id_3,\n      inserted_at: now,\n      payload: %{\"permanent_url\" => r3_url = \"r3_url\", \"filesize\" => filesize = \"10\"}\n    })\n\n    assert %{\n             ^resource_id_1 => %DB.ResourceHistory{resource_id: ^resource_id_1, payload: %{}},\n             ^resource_id_2 => %DB.ResourceHistory{resource_id: ^resource_id_2, payload: %{\"permanent_url\" => ^r2_url}},\n             ^resource_id_3 => %DB.ResourceHistory{\n               resource_id: ^resource_id_3,\n               payload: %{\"permanent_url\" => ^r3_url, \"filesize\" => ^filesize}\n             }\n           } = latest_dataset_resources_history_infos(dataset)\n  end\n\n  test \"composable query\" do\n    resource_1 = insert(:resource)\n    insert(:resource_history, resource_id: resource_1.id, inserted_at: DateTime.utc_now() |> DateTime.add(-2000))\n\n    latest_resource_history =\n      insert(:resource_history, resource_id: resource_1.id, inserted_at: DateTime.utc_now() |> DateTime.add(-1000))\n\n    resource_2 = insert(:resource)\n    insert(:resource_history, resource_id: resource_2.id, inserted_at: DateTime.utc_now() |> DateTime.add(-100))\n\n    assert latest_resource_history ==\n             DB.Resource.base_query()\n             |> DB.Resource.filter_on_resource_id(resource_1.id)\n             |> DB.ResourceHistory.join_resource_with_latest_resource_history()\n             |> select([resource_history: rh], rh)\n             |> DB.Repo.one!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/resource_metadata_test.exs",
    "content": "defmodule DB.ResourceMetadataTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"find validations with up to date gtfs resources\" do\n    validation_1 = insert(:multi_validation)\n    validation_2 = insert(:multi_validation)\n\n    insert(:resource_metadata,\n      multi_validation_id: validation_1.id,\n      metadata: %{\"start_date\" => Date.utc_today() |> Date.add(-3), \"end_date\" => Date.utc_today() |> Date.add(3)}\n    )\n\n    insert(:resource_metadata,\n      multi_validation_id: validation_2.id,\n      metadata: %{\"start_date\" => Date.utc_today() |> Date.add(-3), \"end_date\" => Date.utc_today() |> Date.add(-2)}\n    )\n\n    assert [validation_1] ==\n             DB.MultiValidation.base_query()\n             |> DB.ResourceMetadata.join_validation_with_metadata()\n             |> DB.ResourceMetadata.where_up_to_date()\n             |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/resource_monthly_metric_test.exs",
    "content": "defmodule DB.ResourceMonthlyMetricTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"changeset\" do\n    test \"can insert a record\" do\n      resource = insert(:resource)\n\n      assert %Ecto.Changeset{valid?: true} =\n               changeset =\n               DB.ResourceMonthlyMetric.changeset(%DB.ResourceMonthlyMetric{}, %{\n                 resource_datagouv_id: resource.datagouv_id,\n                 metric_name: :downloads,\n                 count: 42,\n                 year_month: \"2023-12\"\n               })\n\n      DB.Repo.insert!(changeset)\n    end\n\n    test \"identifies errors\" do\n      assert %Ecto.Changeset{\n               valid?: false,\n               errors: [\n                 {:count, _},\n                 {:year_month, _},\n                 {:metric_name, _}\n               ]\n             } =\n               DB.ResourceMonthlyMetric.changeset(%DB.ResourceMonthlyMetric{}, %{\n                 resource_datagouv_id: Ecto.UUID.generate(),\n                 metric_name: :foo,\n                 count: -1,\n                 year_month: \"bar\"\n               })\n    end\n\n    test \"downloads_for_year\" do\n      resource = insert(:resource)\n      other_resource = insert(:resource)\n\n      insert(:resource_monthly_metric,\n        resource_datagouv_id: resource.datagouv_id,\n        year_month: \"2023-12\",\n        metric_name: :downloads,\n        count: 42\n      )\n\n      insert(:resource_monthly_metric,\n        resource_datagouv_id: resource.datagouv_id,\n        year_month: \"2023-01\",\n        metric_name: :downloads,\n        count: 1_337\n      )\n\n      insert(:resource_monthly_metric,\n        resource_datagouv_id: other_resource.datagouv_id,\n        year_month: \"2023-10\",\n        metric_name: :downloads,\n        count: 5\n      )\n\n      assert %{resource.datagouv_id => 1_337 + 42} == DB.ResourceMonthlyMetric.downloads_for_year([resource], 2023)\n\n      assert %{resource.datagouv_id => 1_337 + 42, other_resource.datagouv_id => 5} ==\n               DB.ResourceMonthlyMetric.downloads_for_year([resource, other_resource], 2023)\n\n      assert %{} == DB.ResourceMonthlyMetric.downloads_for_year([resource, other_resource], 2024)\n    end\n\n    test \"download_statistics\" do\n      dataset = insert(:dataset, custom_title: \"Title\")\n\n      resource =\n        insert(:resource,\n          title: \"GTFS\",\n          url: \"https://static.data.gouv.fr/url\",\n          dataset: dataset,\n          datagouv_id: \"a\" <> Ecto.UUID.generate()\n        )\n\n      assert resource |> DB.Resource.hosted_on_datagouv?()\n\n      other_resource =\n        insert(:resource,\n          title: \"GTFS 2\",\n          url: \"https://static.data.gouv.fr/url2\",\n          dataset: dataset,\n          datagouv_id: \"b\" <> Ecto.UUID.generate()\n        )\n\n      assert other_resource |> DB.Resource.hosted_on_datagouv?()\n\n      insert(:resource_monthly_metric,\n        metric_name: :downloads,\n        dataset_datagouv_id: dataset.datagouv_id,\n        resource_datagouv_id: resource.datagouv_id,\n        count: 2,\n        year_month: \"2025-12\"\n      )\n\n      insert(:resource_monthly_metric,\n        metric_name: :downloads,\n        dataset_datagouv_id: dataset.datagouv_id,\n        resource_datagouv_id: resource.datagouv_id,\n        count: 3,\n        year_month: \"2025-11\"\n      )\n\n      insert(:resource_monthly_metric,\n        metric_name: :downloads,\n        dataset_datagouv_id: dataset.datagouv_id,\n        resource_datagouv_id: other_resource.datagouv_id,\n        count: 4,\n        year_month: \"2025-11\"\n      )\n\n      assert [dataset |> DB.Repo.preload(:resources)] |> DB.ResourceMonthlyMetric.download_statistics() == [\n               %{\n                 count: 3,\n                 dataset_title: \"Title\",\n                 resource_title: \"GTFS\",\n                 year_month: \"2025-11\",\n                 resource_datagouv_id: resource.datagouv_id,\n                 dataset_datagouv_id: dataset.datagouv_id\n               },\n               %{\n                 count: 4,\n                 dataset_title: \"Title\",\n                 resource_title: \"GTFS 2\",\n                 year_month: \"2025-11\",\n                 resource_datagouv_id: other_resource.datagouv_id,\n                 dataset_datagouv_id: dataset.datagouv_id\n               },\n               %{\n                 count: 2,\n                 dataset_title: \"Title\",\n                 resource_title: \"GTFS\",\n                 year_month: \"2025-12\",\n                 resource_datagouv_id: resource.datagouv_id,\n                 dataset_datagouv_id: dataset.datagouv_id\n               }\n             ]\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/resource_related_test.exs",
    "content": "defmodule DB.ResourceRelatedTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n\n  doctest DB.ResourceRelated, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"can create, load and delete resources_related\" do\n    %DB.Resource{id: r1_id} = r1 = insert(:resource)\n    %DB.Resource{id: r2_id} = insert(:resource)\n    insert(:resource_related, resource_src_id: r1_id, resource_dst_id: r2_id, reason: :gtfs_rt_gtfs)\n\n    assert [\n             %DB.ResourceRelated{\n               resource_src_id: ^r1_id,\n               resource_dst_id: ^r2_id,\n               reason: :gtfs_rt_gtfs,\n               resource_dst: %DB.Resource{id: ^r2_id}\n             }\n           ] = DB.Repo.preload(r1, resources_related: [:resource_dst]).resources_related\n\n    # When deleting a resource, the `resource_related` row linking to it is deleted as well\n    DB.Repo.delete!(r1)\n    assert [] == DB.Repo.all(DB.ResourceRelated)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/resource_test.exs",
    "content": "defmodule DB.ResourceTest do\n  use TransportWeb.ConnCase, async: true\n  alias DB.Resource\n  import Mox\n  import DB.Factory\n\n  doctest Resource, import: true\n\n  setup do\n    Mox.stub_with(Transport.DataVisualization.Mock, Transport.DataVisualization.Impl)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  def http_validation_response do\n    %HTTPoison.Response{\n      status_code: 200,\n      body:\n        \"{\\\"metadata\\\":{\\\"start_date\\\":\\\"2021-07-08\\\",\\\"end_date\\\":\\\"2021-10-24\\\",\\\"stop_areas_count\\\":588,\\\"stop_points_count\\\":1016,\\\"lines_count\\\":126,\\\"networks\\\":[\\\"Sté de Transport de l'Agglomération Nazairienne\\\"],\\\"modes\\\":[\\\"bus\\\"],\\\"issues_count\\\":{\\\"ExcessiveSpeed\\\":2,\\\"NullDuration\\\":10,\\\"DuplicateStops\\\":43},\\\"has_fares\\\":false,\\\"has_shapes\\\":true,\\\"some_stops_need_phone_agency\\\":false,\\\"some_stops_need_phone_driver\\\":false},\\\"validations\\\":{\\\"ExcessiveSpeed\\\":[{\\\"severity\\\":\\\"Information\\\",\\\"issue_type\\\":\\\"ExcessiveSpeed\\\",\\\"object_id\\\":\\\"22226\\\",\\\"object_type\\\":\\\"Stop\\\",\\\"object_name\\\":\\\"FossedeRotz\\\",\\\"related_objects\\\":[{\\\"id\\\":\\\"21994\\\",\\\"object_type\\\":\\\"Stop\\\",\\\"name\\\":\\\"FosseBlanc\\\"},{\\\"id\\\":\\\"118\\\",\\\"object_type\\\":\\\"Route\\\",\\\"name\\\":\\\"301\\\"}],\\\"details\\\":\\\"computed speed between the stops is 525.76 km/h (17525 m travelled in 120 seconds)\\\"}]}}\"\n    }\n  end\n\n  test \"get resource related geojson infos\" do\n    now = DateTime.now!(\"Etc/UTC\")\n\n    # we insert 3 resource history for a resource\n    %{id: resource_id_1} = insert(:resource)\n    insert_resource_history(resource_id_1, uuid1 = Ecto.UUID.generate(), now, -3600)\n    insert_resource_history(resource_id_1, uuid2 = Ecto.UUID.generate(), now)\n    insert_resource_history(resource_id_1, uuid3 = Ecto.UUID.generate(), now, -3601)\n\n    # and one for another resource\n    %{id: resource_id_2} = insert(:resource)\n    insert_resource_history(resource_id_2, uuid4 = Ecto.UUID.generate(), now)\n\n    # we insert 1 conversion for each resource history\n    insert_geojson_data_conversion(uuid1, \"url1\", 10)\n    insert_geojson_data_conversion(uuid2, \"url2\", 12)\n    # Should be ignored, this is not the default converter\n    insert_geojson_data_conversion(uuid2, \"url2\", 14, \"other_converter\")\n    insert_geojson_data_conversion(uuid3, \"url3\", 10)\n\n    data_conversion_pending =\n      insert_geojson_data_conversion(uuid4, \"url4\", 10, DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"), :pending)\n\n    assert %{url: \"url2\", filesize: 12, resource_history_last_up_to_date_at: _} =\n             Resource.get_related_geojson_info(resource_id_1)\n\n    assert nil == Resource.get_related_geojson_info(resource_id_1 - 10)\n\n    assert %{GeoJSON: %{url: \"url2\", filesize: 12, resource_history_last_up_to_date_at: _}} =\n             Resource.get_related_files(%Resource{id: resource_id_1})\n\n    # Make sure that the conversion is found only when `status=success`\n    assert %{GeoJSON: nil} == Resource.get_related_files(%Resource{id: resource_id_2})\n    data_conversion_pending |> Ecto.Changeset.change(%{status: :success}) |> DB.Repo.update!()\n\n    assert %{GeoJSON: %{url: \"url4\", filesize: 10, resource_history_last_up_to_date_at: _}} =\n             Resource.get_related_files(%Resource{id: resource_id_2})\n  end\n\n  defp insert_resource_history(resource_id, uuid, datetime, time_delta_seconds \\\\ 0) do\n    insert(:resource_history, %{\n      resource_id: resource_id,\n      payload: %{uuid: uuid},\n      inserted_at: DateTime.add(datetime, time_delta_seconds, :second)\n    })\n  end\n\n  defp insert_geojson_data_conversion(uuid, permanent_url, filesize, converter \\\\ nil, status \\\\ :success) do\n    insert(:data_conversion, %{\n      resource_history_uuid: uuid,\n      convert_from: \"GTFS\",\n      convert_to: \"GeoJSON\",\n      converter: converter || DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n      status: status,\n      payload: %{permanent_url: permanent_url, filesize: filesize}\n    })\n  end\n\n  describe \"resource last content update time\" do\n    test \"basic case\" do\n      %{id: resource_id} = insert(:resource)\n\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-7200)\n      })\n\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: expected_last_update_time = DateTime.utc_now() |> DateTime.add(-3600)\n      })\n\n      assert expected_last_update_time == resource_id |> Resource.content_updated_at()\n    end\n\n    test \"only one resource history, we don't know the resource last content update time\" do\n      %{id: resource_id} = insert(:resource, %{datagouv_id: datagouv_id = \"datagouv_id\"})\n\n      insert(:resource_history, %{\n        datagouv_id: datagouv_id,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-7200)\n      })\n\n      assert Resource.content_updated_at(resource_id) == nil\n    end\n\n    test \"last content update time, single datetime\" do\n      %{id: resource_id} = insert(:resource, %{datagouv_id: datagouv_id = \"datagouv_id\"})\n\n      insert(:resource_history, %{datagouv_id: datagouv_id})\n\n      assert Resource.content_updated_at(resource_id) == nil\n    end\n\n    test \"last content update time, multiple datetimes\" do\n      %{id: resource_id} = insert(:resource)\n\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-7200)\n      })\n\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: expected_last_update_time = DateTime.utc_now() |> DateTime.add(-3600)\n      })\n\n      assert expected_last_update_time == resource_id |> Resource.content_updated_at()\n    end\n  end\n\n  test \"download url\" do\n    # Files hosted on data.gouv.fr\n    assert Resource.download_url(%Resource{\n             dataset: %DB.Dataset{},\n             filetype: \"file\",\n             url: \"https://demo-static.data.gouv.fr/resources/base-nationale-zfe/20220412-121638/voies.geojson\",\n             latest_url: latest_url = \"https://demo.data.gouv.fr/fake_stable_url\"\n           }) == latest_url\n\n    assert Resource.download_url(%Resource{\n             dataset: %DB.Dataset{},\n             filetype: \"file\",\n             url: \"https://static.data.gouv.fr/resources/base-nationale-zfe/20220412-121638/voies.geojson\",\n             latest_url: latest_url = \"https://data.gouv.fr/fake_stable_url\"\n           }) == latest_url\n\n    # Bison Futé folder\n    assert Resource.download_url(%Resource{\n             dataset: %DB.Dataset{},\n             filetype: \"remote\",\n             url: \"http://tipi.bison-fute.gouv.fr/bison-fute-ouvert/publicationsDIR/QTV-DIR/\",\n             latest_url: latest_url = \"https://data.gouv.fr/fake_stable_url\"\n           }) == latest_url\n\n    # URLs on major object storage providers\n    [\n      \"https://thapaasblobsuat.blob.core.windows.net/datagouv/gtfs_static.zip\",\n      \"https://download.mywebsite.com.s3.fr-par.scw.cloud/gtfs_static.zip\",\n      \"https://download.mywebsite.com.s3.us-east-1.amazonaws.com/gtfs_static.zip\",\n      \"https://transport-data-gouv-fr-resource-history-prod.cellar-c2.services.clever-cloud.com/gtfs_static.zip\",\n      \"https://s3.gra.cloud.ovh.net/gtfs_static.zip\"\n    ]\n    |> Enum.each(fn url ->\n      assert Resource.download_url(%Resource{\n               dataset: %DB.Dataset{},\n               filetype: \"remote\",\n               url: url,\n               latest_url: latest_url = \"https://data.gouv.fr/#{Ecto.UUID.generate()}\"\n             }) == latest_url\n    end)\n\n    # Bison Futé files\n    assert Resource.download_url(%Resource{\n             dataset: %DB.Dataset{},\n             filetype: \"remote\",\n             id: id = 1,\n             url: \"http://tipi.bison-fute.gouv.fr/bison-fute-ouvert/publicationsDIR/QTV-DIR/refDir.csv\",\n             latest_url: \"https://data.gouv.fr/fake_stable_url\"\n           }) == resource_url(TransportWeb.Endpoint, :download, id)\n\n    # File not hosted on data.gouv.fr\n    assert Resource.download_url(%Resource{\n             dataset: %DB.Dataset{},\n             filetype: \"file\",\n             url: url = \"https://data.example.com/voies.geojson\"\n           }) ==\n             url\n\n    # Remote filetype / can direct download\n    assert Resource.download_url(%Resource{\n             dataset: %DB.Dataset{},\n             filetype: \"remote\",\n             url: url = \"https://data.example.com/data\"\n           }) == url\n\n    # http URL\n    assert Resource.download_url(%Resource{\n             id: id = 1,\n             dataset: %DB.Dataset{},\n             filetype: \"remote\",\n             url: \"http://data.example.com/data\"\n           }) ==\n             resource_url(TransportWeb.Endpoint, :download, id)\n\n    # file hosted on GitHub\n    assert Resource.download_url(%Resource{\n             id: id = 1,\n             dataset: %DB.Dataset{},\n             filetype: \"remote\",\n             url:\n               \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/898dc67fb19fae2464c24a85a0557e8ccce18791/bnlc-.csv\"\n           }) == resource_url(TransportWeb.Endpoint, :download, id)\n  end\n\n  test \"invalid resource\" do\n    resource = %Resource{format: \"GTFS\", schema_name: \"anything\", datagouv_id: datagouv_id = Ecto.UUID.generate()}\n    assert %Ecto.Changeset{valid?: false} = changeset = Resource.changeset(resource, %{})\n\n    assert {\"Public transport formats can’t have a schema set\",\n            [{:resource_id, nil}, {:resource_datagouv_id, datagouv_id}]} ==\n             changeset.errors[:schema_name]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/resource_unavailability_test.exs",
    "content": "defmodule DB.ResourceUnavailabilityTest do\n  use ExUnit.Case, async: true\n  alias DB.{Repo, ResourceUnavailability}\n  import DB.Factory\n\n  doctest DB.ResourceUnavailability, import: true\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"ongoing_unavailability\" do\n    test \"it works\" do\n      # No unavailabilities\n      resource = insert(:resource)\n      assert is_nil(ResourceUnavailability.ongoing_unavailability(resource))\n\n      # An ongoing unavailability\n      %{id: resource_unavailability_id} = insert(:resource_unavailability, resource: resource, start: hours_ago(5))\n      assert resource_unavailability_id == ResourceUnavailability.ongoing_unavailability(resource).id\n\n      # Closing the ongoing unavailability\n      ResourceUnavailability\n      |> Repo.get_by(resource_id: resource.id)\n      |> Ecto.Changeset.change(%{end: hours_ago(1)})\n      |> Repo.update!()\n\n      assert is_nil(ResourceUnavailability.ongoing_unavailability(resource))\n\n      # It's properly scoped by resource\n      insert(:resource_unavailability, resource: build(:resource), start: hours_ago(5))\n      assert is_nil(ResourceUnavailability.ongoing_unavailability(resource))\n    end\n\n    test \"with multiple unavailabilities\" do\n      resource = insert(:resource)\n      insert(:resource_unavailability, resource: resource, start: hours_ago(10), end: hours_ago(9))\n      %{id: resource_unavailability_id} = insert(:resource_unavailability, resource: resource, start: hours_ago(5))\n\n      assert resource_unavailability_id == ResourceUnavailability.ongoing_unavailability(resource).id\n    end\n  end\n\n  describe \"availability_over_last_days and unavailabilities_over_last_days\" do\n    test \"with no unavailabilities\" do\n      resource = insert(:resource)\n\n      assert %{hours: 0.0, nb_periods: 0, resource_id: resource.id} ==\n               ResourceUnavailability.unavailabilities_over_last_days(resource, 1)\n\n      assert 100 == ResourceUnavailability.availability_over_last_days(resource, 1)\n    end\n\n    test \"with an unavailabily starting before\" do\n      resource = insert(:resource)\n      insert(:resource_unavailability, resource: resource, start: hours_ago(25))\n\n      assert %{hours: 24.0, resource_id: resource.id, nb_periods: 1} ==\n               ResourceUnavailability.unavailabilities_over_last_days(resource, 1)\n\n      assert 0 == ResourceUnavailability.availability_over_last_days(resource, 1)\n    end\n\n    test \"with an ongoing unavailability starting in period\" do\n      %{id: resource_id} = resource = insert(:resource)\n      insert(:resource_unavailability, resource: resource, start: hours_ago(5))\n\n      assert %{hours: hours, resource_id: ^resource_id, nb_periods: 1} =\n               ResourceUnavailability.unavailabilities_over_last_days(resource, 1)\n\n      assert_in_delta hours, 5, 0.1\n\n      assert_in_delta ResourceUnavailability.availability_over_last_days(resource, 1), 100 - 5 / 24 * 100, 0.1\n    end\n\n    test \"with an unavailability starting before and ending in period\" do\n      %{id: resource_id} = resource = insert(:resource)\n      insert(:resource_unavailability, resource: resource, start: hours_ago(26), end: hours_ago(22))\n\n      assert %{hours: hours, resource_id: ^resource_id, nb_periods: 1} =\n               ResourceUnavailability.unavailabilities_over_last_days(resource, 1)\n\n      assert_in_delta hours, 2, 0.1\n\n      assert_in_delta ResourceUnavailability.availability_over_last_days(resource, 1), 100 - 2 / 24 * 100, 0.1\n    end\n\n    test \"with multiple unavailabilities\" do\n      %{id: resource_id} = resource = insert(:resource)\n      insert(:resource_unavailability, resource: resource, start: hours_ago(26), end: hours_ago(22))\n      insert(:resource_unavailability, resource: resource, start: hours_ago(2), end: hours_ago(1))\n\n      assert %{hours: hours, resource_id: ^resource_id, nb_periods: 2} =\n               ResourceUnavailability.unavailabilities_over_last_days(resource, 1)\n\n      assert_in_delta hours, 3, 0.1\n\n      assert_in_delta ResourceUnavailability.availability_over_last_days(resource, 1), 87.5, 0.01\n    end\n\n    test \"with an unavailability starting before and ending before period\" do\n      resource = insert(:resource)\n      insert(:resource_unavailability, resource: resource, start: hours_ago(72), end: hours_ago(25))\n\n      assert %{hours: 0.0, resource_id: resource.id, nb_periods: 0} ==\n               ResourceUnavailability.unavailabilities_over_last_days(resource, 1)\n\n      assert ResourceUnavailability.availability_over_last_days(resource, 1) <= 100\n      assert_in_delta ResourceUnavailability.availability_over_last_days(resource, 1), 100, 0.01\n    end\n\n    test \"scopes to specific resource\" do\n      %{id: resource_id} = resource = insert(:resource)\n      insert(:resource_unavailability, resource: resource, start: hours_ago(10), end: hours_ago(8))\n      insert(:resource_unavailability, resource: insert(:resource), start: hours_ago(10), end: hours_ago(8))\n\n      assert %{hours: hours, resource_id: ^resource_id, nb_periods: 1} =\n               ResourceUnavailability.unavailabilities_over_last_days(resource, 1)\n\n      assert_in_delta hours, 2, 0.01\n    end\n\n    test \"computes appropriate ratio\" do\n      %{id: resource_id} = resource = insert(:resource)\n      insert(:resource_unavailability, resource: resource, start: hours_ago(7), end: hours_ago(1))\n\n      assert %{hours: hours, resource_id: ^resource_id, nb_periods: 1} =\n               ResourceUnavailability.unavailabilities_over_last_days(resource, 1)\n\n      assert_in_delta hours, 6, 0.01\n\n      assert_in_delta ResourceUnavailability.availability_over_last_days(resource, 1), 100 - 6 / 24 * 100, 0.1\n      assert_in_delta ResourceUnavailability.availability_over_last_days(resource, 2), 100 - 6 / 48 * 100, 0.1\n    end\n\n    test \"compute bucketed availability\" do\n      resource = insert(:resource)\n\n      today = DateTime.utc_now() |> DateTime.to_date()\n      two_days_ago = Date.add(today, -2)\n      three_days_ago = Date.add(today, -3)\n      four_days_ago = Date.add(today, -4)\n\n      three_days_ago_midnight = three_days_ago |> DateTime.new!(~T[00:00:00.00])\n\n      insert(:resource_unavailability,\n        resource: resource,\n        start: three_days_ago_midnight |> add_hours(-2),\n        end: three_days_ago_midnight |> add_hours(2)\n      )\n\n      insert(:resource_unavailability,\n        resource: resource,\n        start: three_days_ago_midnight |> add_hours(3),\n        end: three_days_ago_midnight |> add_hours(4)\n      )\n\n      uptime = ResourceUnavailability.uptime_per_day(resource, 30)\n\n      uptime_two_days_ago =\n        uptime |> Enum.filter(fn d -> d[\"day\"] == two_days_ago end) |> Enum.at(0) |> Map.fetch!(\"uptime\")\n\n      uptime_three_days_ago =\n        uptime |> Enum.filter(fn d -> d[\"day\"] == three_days_ago end) |> Enum.at(0) |> Map.fetch!(\"uptime\")\n\n      uptime_four_days_ago =\n        uptime |> Enum.filter(fn d -> d[\"day\"] == four_days_ago end) |> Enum.at(0) |> Map.fetch!(\"uptime\")\n\n      assert uptime_two_days_ago == 1\n      assert_in_delta(uptime_four_days_ago, 22 / 24, 0.001)\n      assert_in_delta(uptime_three_days_ago, 21 / 24, 0.001)\n    end\n\n    test \"uptime_per_day over multiple days with an ongoing downtime\" do\n      resource = insert(:resource)\n\n      utc_now = DateTime.utc_now()\n      today_as_date = utc_now |> DateTime.to_date()\n      downtime_in_hours = 3\n\n      insert(:resource_unavailability,\n        resource: resource,\n        start: utc_now |> add_hours(-1 * downtime_in_hours),\n        end: nil\n      )\n\n      uptime = ResourceUnavailability.uptime_per_day(resource, 30)\n      uptime_today = uptime |> Enum.filter(&(&1[\"day\"] == today_as_date)) |> Enum.at(0) |> Map.fetch!(\"uptime\")\n\n      seconds_since_midnight = DateTime.diff(today_as_date |> DateTime.new!(~T[00:00:00.00]), utc_now) * -1\n\n      assert_in_delta(\n        uptime_today,\n        (seconds_since_midnight - downtime_in_hours * 60 * 60) / seconds_since_midnight,\n        0.001\n      )\n    end\n  end\n\n  defp add_hours(datetime, hours), do: DateTime.add(datetime, hours * 60 * 60, :second)\n\n  defp hours_ago(hours) when hours > 0 do\n    DateTime.utc_now() |> DateTime.add(-hours * 60 * 60, :second) |> DateTime.truncate(:second)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/reuse_test.exs",
    "content": "defmodule DB.ReuseTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n\n  doctest DB.Reuse, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"changeset\" do\n    %DB.Dataset{id: dataset_id} = insert(:dataset, datagouv_id: datagouv_id = \"53699569a3a729239d2046eb\")\n\n    # Payload from https://tabular-api.data.gouv.fr/api/resources/970aafa0-3778-4d8b-b9d1-de937525e379/data/?page=1&page_size=50&topic__exact=transport_and_mobility\n    data =\n      ~s|{\"id\": \"67c02dfe7172569a69c367e6\",\"title\": \"Carte nationale des plateaux techniques spécialisés (PTS) pour « évaluer l’aptitude médicale à la conduite » \",\"slug\": \"carte-nationale-des-plateaux-techniques-specialises-pts-pour-evaluer-laptitude-medicale-a-la-conduite\",\"url\": \"http://www.data.gouv.fr/fr/reuses/carte-nationale-des-plateaux-techniques-specialises-pts-pour-evaluer-laptitude-medicale-a-la-conduite/\",\"type\": \"visualization\",\"description\": \"Ceci est une description\",\"remote_url\": \"https://www.securite-routiere.gouv.fr/permis-et-situation-de-handicap/carte-des-plateaux-techniques-de-sante\",\"organization\": null,\"organization_id\": null,\"owner\": \"ilyes-zeroual\",\"owner_id\": \"67c0216ab1f98413870cc70c\",\"image\": \"https://static.data.gouv.fr/images/69/f0053e284741c9b6d2a73cc490edb2-500.png\",\"featured\": \"False\",\"created_at\": \"2025-02-27T09:18:54.658000\",\"last_modified\": \"2025-02-27T09:49:33.676000\",\"archived\": \"False\",\"topic\": \"transport_and_mobility\",\"tags\": \"foo,bar\",\"datasets\": \"54730e00c751df4f2ec2acbe,#{datagouv_id}\",\"metric.discussions\": \"0\",\"metric.datasets\": \"2\",\"metric.followers\": \"0\",\"metric.followers_by_months\": \"0\",\"metric.views\": \"234\"}|\n\n    assert %Ecto.Changeset{\n             valid?: true,\n             changes: %{\n               datagouv_id: \"67c02dfe7172569a69c367e6\",\n               tags: [\"foo\", \"bar\"],\n               metric_views: 234,\n               archived: false,\n               featured: false,\n               created_at: ~U[2025-02-27 09:18:54.658000Z]\n             }\n           } = changeset = DB.Reuse.changeset(%DB.Reuse{}, Jason.decode!(data))\n\n    DB.Repo.insert!(changeset)\n\n    [reuse] = DB.Repo.all(DB.Reuse)\n    assert [%DB.Dataset{id: ^dataset_id}] = reuse |> DB.Repo.preload(:datasets) |> Map.fetch!(:datasets)\n  end\n\n  test \"search\" do\n    d1 = insert(:dataset, type: \"public-transit\")\n    d2 = insert(:dataset, type: \"private-parking\")\n    foo = insert(:reuse, title: \"Foo\", datasets: [d1], created_at: DateTime.utc_now())\n    bar = insert(:reuse, owner: \"Bar\", datasets: [d1], created_at: DateTime.utc_now())\n    hello = insert(:reuse, organization: \"hello\", datasets: [d2], created_at: DateTime.utc_now())\n\n    assert [foo.id] == DB.Reuse.search(%{\"q\" => \"foo\"}) |> DB.Repo.all() |> Enum.map(& &1.id)\n    assert [bar.id] == DB.Reuse.search(%{\"q\" => \"bar\"}) |> DB.Repo.all() |> Enum.map(& &1.id)\n    assert [hello.id] == DB.Reuse.search(%{\"q\" => \"héllo\"}) |> DB.Repo.all() |> Enum.map(& &1.id)\n\n    # order by `created_at` desc\n    assert [hello.id, bar.id, foo.id] == DB.Reuse.search(%{}) |> DB.Repo.all() |> Enum.map(& &1.id)\n\n    # filter by type\n    assert [bar.id, foo.id] ==\n             DB.Reuse.search(%{\"type\" => \"public-transit\"}) |> DB.Repo.all() |> Enum.map(& &1.id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/test_helper.exs",
    "content": "ExUnit.start()\n\nEcto.Adapters.SQL.Sandbox.mode(DB.Repo, :manual)\n"
  },
  {
    "path": "apps/transport/test/db/token_test.exs",
    "content": "defmodule DB.TokenTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"can save objects in the database with relevant casts\" do\n    contact = insert_contact()\n    organization = insert(:organization)\n\n    DB.Token.changeset(%DB.Token{}, %{\n      contact_id: contact.id,\n      organization_id: organization.id,\n      name: name = \"Default\"\n    })\n    |> DB.Repo.insert!()\n\n    assert %DB.Token{secret: secret, name: ^name} = DB.Repo.one!(DB.Token)\n\n    # Can search using secret_hash`\n    assert 1 == DB.Token |> where([n], n.secret_hash == ^secret) |> DB.Repo.all() |> Enum.count()\n\n    # Cannot get rows by using the secret\n    assert DB.Token |> where([n], n.secret == ^secret) |> DB.Repo.all() |> Enum.empty?()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/db/user_feedback_test.exs",
    "content": "defmodule DB.UserFeedbackTest do\n  use ExUnit.Case, async: true\n  import Ecto.Query\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"can save and read a feedback with encrypted email\" do\n    %DB.UserFeedback{}\n    |> DB.UserFeedback.changeset(sample_feedback_args())\n    |> DB.Repo.insert()\n\n    expected_email = \"malotru@example.com\"\n\n    assert %DB.UserFeedback{email: ^expected_email, explanation: \"Awesome map!\"} =\n             DB.UserFeedback |> Ecto.Query.last() |> DB.Repo.one!()\n\n    # Cannot get rows by using the email, because values are encrypted\n    refute DB.UserFeedback |> where([f], f.email == ^expected_email) |> DB.Repo.exists?()\n  end\n\n  test \"can be associated with an existing contact\" do\n    %DB.Contact{datagouv_user_id: user_id} = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    {:ok, feedback} =\n      %DB.UserFeedback{}\n      |> DB.UserFeedback.changeset(sample_feedback_args())\n      |> DB.UserFeedback.assoc_contact_from_user_id(user_id)\n      |> DB.Repo.insert()\n\n    feedback_contact = DB.Repo.preload(feedback, :contact) |> Map.get(:contact)\n\n    assert user_id == feedback_contact.datagouv_user_id\n  end\n\n  test \"can be saved even without a user_id\" do\n    {:ok, feedback} =\n      %DB.UserFeedback{}\n      |> DB.UserFeedback.changeset(sample_feedback_args())\n      |> DB.UserFeedback.assoc_contact_from_user_id(nil)\n      |> DB.Repo.insert()\n\n    assert is_nil(feedback.contact_id)\n  end\n\n  defp sample_feedback_args do\n    %{\n      rating: :like,\n      explanation: \"<love>Awesome map!</love>\",\n      feature: :gtfs_stops,\n      email: \"Malotru@example.coM   \"\n    }\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/documentation_links_test.exs",
    "content": "defmodule Transport.DocumentationLinksTest do\n  use ExUnit.Case, async: true\n  @moduletag :ci_only_on_mondays\n  @documentation_domain \"doc.transport.data.gouv.fr\"\n\n  test \"documentation links are valid\" do\n    urls = documentation_urls()\n\n    refute Enum.empty?(urls), \"We should find #{@documentation_domain} URLs in our codebase\"\n\n    failures =\n      urls\n      |> Enum.map(fn url ->\n        case HTTPoison.head(url) do\n          {:ok, %HTTPoison.Response{status_code: status_code}} when status_code in [200, 302, 307] -> :success\n          response -> {:error, url, response}\n        end\n      end)\n      |> Enum.reject(&(&1 == :success))\n\n    message = \"\"\"\n    Unexpected HTTP responses for:\n    - #{failures |> Enum.map_join(\"\\n - \", fn {:error, url, _response} -> url end)}\n\n    Debug:\n    #{inspect(failures)}\n    \"\"\"\n\n    assert Enum.empty?(failures), message\n  end\n\n  defp documentation_urls do\n    regexp = ~r/https?:\\/\\/(www\\.)?[-a-zA-Z0-9@:%._\\+~#=]{2,256}\\.[a-z]{2,6}\\b([-a-zA-Z0-9@:%_\\+.~#?&\\/\\/=]*)/\n    {output, 0} = System.shell(\"grep -r #{@documentation_domain} ../../apps/transport/lib\")\n\n    regexp\n    |> Regex.scan(output)\n    |> Enum.filter(fn [url | _] -> String.contains?(url, @documentation_domain) end)\n    |> Enum.map(fn [url | _] -> url |> URI.parse() |> Map.replace!(:fragment, nil) |> URI.to_string() end)\n    |> Enum.uniq()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/ecto_interval_test.exs",
    "content": "# Taken from https://github.com/OvermindDL1/ecto_interval\ndefmodule EctoIntervalTest do\n  use ExUnit.Case, async: true\n  doctest EctoInterval\n\n  test \"load/1\" do\n    assert {:ok, %Postgrex.Interval{months: 0, days: 0, secs: 0}} =\n             EctoInterval.load(%{months: 0, days: 0, secs: 0})\n\n    assert {:ok, %Postgrex.Interval{months: 1, days: 2, secs: 3}} =\n             EctoInterval.load(%{months: 1, days: 2, secs: 3})\n  end\n\n  describe \"cast/1\" do\n    test \"accept atom keys\" do\n      {:ok, %{months: 1, days: 2, secs: 3}} =\n        EctoInterval.cast(%{months: \"1\", days: \"2\", secs: \"3\"})\n    end\n\n    test \"accept string keys\" do\n      {:ok, %{months: 1, days: 2, secs: 3}} =\n        EctoInterval.cast(%{\"months\" => 1, \"days\" => 2, \"secs\" => 3})\n    end\n\n    test \"accept string values\" do\n      {:ok, %{months: 1, days: 2, secs: 3}} =\n        EctoInterval.cast(%{\"months\" => \"1\", \"days\" => \"2\", \"secs\" => \"3\"})\n    end\n\n    test \"accept integer values\" do\n      {:ok, %{months: 1, days: 2, secs: 3}} = EctoInterval.cast(%{months: 1, days: 2, secs: 3})\n    end\n\n    test \"return :error in other cases\" do\n      :error = EctoInterval.cast(%{\"months\" => 1, days: 2, secs: 3})\n      :error = EctoInterval.cast(%{months: 1, days: \"1 day\", secs: 3})\n      :error = EctoInterval.cast(%{months: 1, days: 2, secs: :\"3 sec\"})\n    end\n  end\n\n  test \"to_string/1\" do\n    {:ok, none} = EctoInterval.load(%{months: 0, days: 0, secs: 0})\n    {:ok, some} = EctoInterval.load(%{months: 1, days: 2, secs: 3})\n    {:ok, usual} = EctoInterval.load(%{months: 24, days: 0, secs: 0})\n    assert \"<None>\" = to_string(none)\n    assert \"Every 1 months 2 days 3 seconds\" = to_string(some)\n    assert \"Every 24 months\" = to_string(usual)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/enroute/chouette_valid_rulesets_client_test.exs",
    "content": "defmodule Transport.EnRoute.ChouetteValidRulesetsClientTest do\n  use ExUnit.Case, async: true\n  import Mox\n\n  alias Transport.EnRoute.ChouetteValidRulesetsClient\n\n  setup :verify_on_exit!\n\n  @base_url \"https://chouette-valid.enroute.mobi/api/rulesets\"\n  @fake_auth \"Token token=fake_enroute_token\"\n\n  test \"list rulesets\" do\n    response_body = [\n      %{\n        \"id\" => \"2d9ffada-d923-40ee-8c76-02f262b1d8d5\",\n        \"name\" => \"enRoute Starter-Kit\",\n        \"slug\" => \"enroute:starter-kit:1\",\n        \"definition\" => \"[]\",\n        \"created_at\" => \"2024-07-05T14:41:19.933Z\",\n        \"updated_at\" => \"2024-07-05T14:41:20.933Z\"\n      }\n    ]\n\n    Transport.Req.Mock\n    |> expect(:get!, fn request ->\n      expect_commons(request)\n\n      assert URI.parse(\"\") == request.url\n\n      %Req.Response{status: 200, body: response_body}\n    end)\n\n    assert response_body == ChouetteValidRulesetsClient.list_rulesets()\n  end\n\n  test \"get ruleset by slug\" do\n    name = \"PAN - French Profile\"\n    slug = \"pan:french_profile:1\"\n    definition = \"[]\"\n\n    response_body =\n      %{\n        \"id\" => \"2d9ffada-d923-40ee-8c76-02f262b1d8d5\",\n        \"name\" => name,\n        \"slug\" => slug,\n        \"definition\" => definition,\n        \"created_at\" => \"2024-07-05T14:41:19.933Z\",\n        \"updated_at\" => \"2024-07-05T14:41:20.933Z\"\n      }\n\n    Transport.Req.Mock\n    |> expect(:get, fn request, [url: url] ->\n      expect_commons(request)\n\n      assert \"/#{slug}\" == url\n\n      {:ok, %Req.Response{status: 200, body: response_body}}\n    end)\n\n    assert {:ok, response_body} == ChouetteValidRulesetsClient.get_ruleset(slug)\n  end\n\n  test \"create ruleset\" do\n    name = \"PAN - French Profile\"\n    slug = \"pan:french_profile:1\"\n    definition = \"[]\"\n\n    response_body =\n      %{\n        \"id\" => \"2d9ffada-d923-40ee-8c76-02f262b1d8d5\",\n        \"name\" => name,\n        \"slug\" => slug,\n        \"definition\" => definition,\n        \"created_at\" => \"2024-07-05T14:41:19.933Z\",\n        \"updated_at\" => \"2024-07-05T14:41:20.933Z\"\n      }\n\n    Transport.Req.Mock\n    |> expect(:request, fn request, [method: :post, url: \"\", json: json] ->\n      expect_commons(request)\n\n      assert name == json.ruleset.name\n      assert slug == json.ruleset.slug\n      assert definition == json.ruleset.definition\n\n      {:ok, %Req.Response{status: 201, body: response_body}}\n    end)\n\n    assert {:ok, \"2d9ffada-d923-40ee-8c76-02f262b1d8d5\"} ==\n             ChouetteValidRulesetsClient.create_ruleset(definition, name, slug)\n  end\n\n  test \"update ruleset\" do\n    ruleset_id = \"2d9ffada-d923-40ee-8c76-02f262b1d8d5\"\n    name = \"PAN - French Profile\"\n    slug = \"pan:french_profile:1\"\n    definition = \"[]\"\n\n    response_body =\n      %{\n        \"id\" => ruleset_id,\n        \"name\" => name,\n        \"slug\" => slug,\n        \"definition\" => definition,\n        \"created_at\" => \"2024-07-05T14:41:19.933Z\",\n        \"updated_at\" => \"2025-09-10T18:34:43.644Z\"\n      }\n\n    Transport.Req.Mock\n    |> expect(:request, fn request, [method: :put, url: url, json: json] ->\n      expect_commons(request)\n\n      assert \"/#{slug}\" == url\n\n      assert name == json.ruleset.name\n      assert slug == json.ruleset.slug\n      assert definition == json.ruleset.definition\n\n      {:ok, %Req.Response{status: 200, body: response_body}}\n    end)\n\n    assert {:ok, \"2d9ffada-d923-40ee-8c76-02f262b1d8d5\"} ==\n             ChouetteValidRulesetsClient.update_ruleset(definition, name, slug)\n  end\n\n  test \"delete ruleset\" do\n    ruleset_id = \"2d9ffada-d923-40ee-8c76-02f262b1d8d5\"\n\n    Transport.Req.Mock\n    |> expect(:delete, fn request, [url: url] ->\n      expect_commons(request)\n\n      assert \"/#{ruleset_id}.json\" == url\n\n      {:ok, %Req.Response{status: 200}}\n    end)\n\n    assert :ok == ChouetteValidRulesetsClient.delete_ruleset(ruleset_id)\n  end\n\n  defp expect_commons(request) do\n    assert @fake_auth == request.options.auth\n    assert @base_url == request.options.base_url\n  end\nend\n\ndefmodule Transport.EnRoute.ChouetteValidRulesetsClient.SlugsTest do\n  use ExUnit.Case, async: true\n  doctest Transport.EnRoute.ChouetteValidRulesetsClient.Slugs, import: true\nend\n"
  },
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    "path": "apps/transport/test/fixture/files/csv_latin1.csv",
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Ponte-Leccia;MOROSAGLIA;2B169;Parking;2019-08-28;true;200076958;9.2083964;42.4652275;0;0;;00:00-00:00;Prive Morosaglia (000AB0221);;;42.4652275. 9.2083964;Corse;Haute-Corse;94;2B;1\r\n2A004-C-003;C-003;Socordis;Croisement RT20 - RT21 - RT40;AJACCIO;2A004;Aire de covoiturage;2019-08-28;true;200076958;8.801744;41.9307942;35;0;;00:00-00:00;Collectivite de Corse;true;transport : Bastiabus;41.9307942. 8.801744;Corse;Corse-du-Sud;94;2A;1\r\n2A249-C-001;C-001;SupermarchCasino;Vigna Majo;PROPRIANO;2A249;Supermarch;2019-08-28;true;200009827;8.91805094;41.67184442;0;0;;;Prive;;;41.67184442. 8.91805094;Corse;Corse-du-Sud;94;2A;1\r\n2A348-C-001;C-001;Fabrica;Fabrica;ALERIA;2A348;Parking;2019-08-28;true;200033827;9.515394;42.1038186;0;0;;00:00-00:00;Prive;false;;42.1038186. 9.515394;Corse;Corse-du-Sud;94;2A;1\r\n2B134-C-001;C-001;Fogata;Col de Fogata;L ILE ROUSSE;2B134;Parking;2019-08-28;true;200066611;8.921297466;42.62795148;10;0;;;Prive;true;;42.62795148. 8.921297466;Corse;Haute-Corse;94;2B;1\r\n2B303-C-002;C-002;Leclerc Alistro;Centre Cial Alistro;SAN GIULIANO;2B303;Supermarch;2019-08-28;true;200033827;9.5477843;42.2630024;0;0;;00:00-00:00;Prive;;;42.2630024. 9.5477843;Corse;Haute-Corse;94;2B;1\r\n2A004-C-006;C-006;U Cimiteriu - 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RD108;LAMA;2B136;Aire de covoiturage;2019-08-28;true;200066611;9.152213863;42.57743681;5;0;;;Collectivite de Corse;false;;42.57743681. 9.152213863;Corse;Haute-Corse;94;2B;1\r\n2B148-C-004;C-004;Strada di Figarella;Echangeur RT11 - RD10;LUCCIANA;2B148;Dlaiss routier;2019-08-28;true;242000354;9.457523196;42.5364817;0;0;;00:00-00:00;Collectivite de Corse;;;42.5364817. 9.457523196;Corse;Haute-Corse;94;2B;1\r\n2A085-C-003;C-003;A Benista;Bvd Jeanne-Marie Bozzi;CAURO;2A085;Supermarch;2019-08-28;true;200038958;8.823170103;41.90703809;0;0;;00:00-00:00;Prive;;;41.90703809. 8.823170103;Corse;Corse-du-Sud;94;2A;1\r\n2A271-C-001;C-001;U culleghju di Baleone - College de Baleone;Croisement RT20 - RT22;SARROLA CARCOPINO;2A271;Parking;2019-08-28;true;539830349;8.814186899;41.96469823;28;4;;00:00-00:00;Collectivite de Corse;true;transport : Train (CFC Effrico) et Bus Muvistrada (college);41.96469823. 8.814186899;Corse;Corse-du-Sud;94;2A;1\r\n2B126-C-001;C-001;Corsigliese;Croisement RT50 - RD14;GIUNCAGGIO;2B126;Parking;2019-08-28;true;200033827;9.4136095;42.1770446;0;0;;00:00-00:00;Collectivite de Corse;;;42.1770446. 9.4136095;Corse;Haute-Corse;94;2B;1\r\n2B150-C-001;C-001;Lumio;Avenue de la place de l'Eglise;LUMIO;2B150;Parking;2019-08-28;true;200066611;8.832549009;42.58097408;7;2;;;Collectivite de Corse;true;;42.58097408. 8.832549009;Corse;Haute-Corse;94;2B;1\r\n2B079-C-001;C-001;Gare Ponte Novu;Ponte Novu;CASTELLO DI ROSTINO;2B079;Parking relais;2019-08-28;true;222000036;9.2799175;42.4805798;0;0;;00:00-00:00;Collectivite de Corse;true;transport : Train (CFC Ponte Novu);42.4805798. 9.2799175;Corse;Haute-Corse;94;2B;1\r\n2B093-C-001;C-001;Curzo;Bocca di Carbonaja;CORBARA;2B093;Dlaiss routier;2019-08-28;true;200066611;8.891520805;42.62014208;5;0;;;Collectivite de Corse;;;42.62014208. 8.891520805;Corse;Haute-Corse;94;2B;1\r\n2B121-C-002;C-002;Galeria;Place de l'Eglise;GALERIA;2B121;Parking;2019-08-28;true;200066611;8.647728221;42.4091886;10;0;;;Commune;true;;42.4091886. 8.647728221;Corse;Haute-Corse;94;2B;1\r\n2B303-C-001;C-001;Route de Chiatra;Croisement RT10 - RD17;SAN GIULIANO;2B303;Dlaiss routier;2019-08-28;true;200033827;9.5453489;42.250305;0;0;;00:00-00:00;Collectivite de Corse (000ZL0049);false;;42.250305. 9.5453489;Corse;Haute-Corse;94;2B;1\r\n2B148-C-001;C-001;Gare de Casamozza;;LUCCIANA;2B148;Parking relais;2019-08-28;true;539830349;9.4408232;42.5220319;0;0;;00:00-00:00;Collectivite de Corse;;transport : Train (CFC Casamozza);42.5220319. 9.4408232;Corse;Haute-Corse;94;2B;1\r\n2A032-C-001;C-001;Gifi;Lieu-dit Alivella;BASTELICACCIA;2A032;Parking;2019-08-28;true;200038958;8.8246608;41.913679;0;0;;00:00-00:00;Collectivite de Corse;;;41.913679. 8.8246608;Corse;Corse-du-Sud;94;2A;1\r\n2B033-C-002;C-002;Sampieru Corsu;Avenue Sampiero Corso (croisement RT11 - RD264);BASTIA;2B033;Parking;2019-08-28;true;539830349;9.4449162;42.6773422;11;1;;00:00-00:00;Collectivite de Corse;;transport : Bastiabus;42.6773422. 9.4449162;Corse;Haute-Corse;94;2B;1\r\n2A271-C-005;C-005;Spar;Les Eucalyptus;VICO;2A271;Supermarch;2019-08-28;true;539830349;8.701685126;42.11327187;0;0;;00:00-00:00;Prive;;;42.11327187. 8.701685126;Corse;Corse-du-Sud;94;2A;1\r\n2A006-C-001;C-001;U Serenu;Croisement RD81 - RD161;ALATA;2A006;Supermarch;2019-08-28;true;222000028;8.778097256;41.98121882;0;0;;00:00-00:00;Prive;;;41.98121882. 8.778097256;Corse;Corse-du-Sud;94;2A;1\r\n2B033-C-005;C-005;Place du Marche;Rue Sebastiano d'Alzetto;BASTIA;2B033;Parking;2019-08-28;true;511237794;9.4509029;42.6972375;14;1;;00:00-00:00;Commune;;transport : Bastiabus;42.6972375. 9.4509029;Corse;Haute-Corse;94;2B;1\r\n2B148-C-002;C-002;Station-service;Croisement RT20 - RT10;LUCCIANA;2B148;Parking;2019-08-28;true;323415372;9.439794813;42.52077393;0;0;;00:00-00:00;Collectivite de Corse;;;42.52077393. 9.439794813;Corse;Haute-Corse;94;2B;1\r\n2B120-C-001;C-001;Gare de Furiani;Avenue Sampiero Corso;FURIANI;2B120;Parking;2019-08-28;true;242000354;9.441175808;42.65289043;0;0;;00:00-00:00;Collectivite de Corse;true;transport : Train (CFC Gare de Furiani);42.65289043. 9.441175808;Corse;Haute-Corse;94;2B;1\r\n2A247-C-001;C-001;Gamm Vert;Route de Muratello;PORTO VECCHIO;2A247;Supermarch;2019-08-28;true;539830349;9.265822555;41.59812894;0;0;;;Prive;;;41.59812894. 9.265822555;Corse;Corse-du-Sud;94;2A;1\r\n2B009-C-002;C-002;Route d'Aghjone;Croisement RT10 - RD343;ALERIA;2B009;Parking;2019-08-28;true;200033827;9.4844037;42.082492;0;0;;00:00-00:00;Prive;false;;42.082492. 9.4844037;Corse;Haute-Corse;94;2B;1\r\n2B123-C-002;C-002;Leclerc Ghisonaccia;1030 Av du 9 septembre;GHISONACCIA;2B123;Supermarch;2019-08-28;true;200033827;9.406702167;42.01803055;0;0;;00:00-00:00;Prive;true;;42.01803055. 9.406702167;Corse;Haute-Corse;94;2B;1\r\n2B316-C-001;C-001;Santa Reparata;Place de l'Eglise;SANTA REPARATA DI BALAGNA;2B316;Parking;2019-08-28;true;200066611;8.929731789;42.60418034;5;0;;;Commune;true;;42.60418034. 8.929731789;Corse;Haute-Corse;94;2B;1\r\n2B190-C-001;C-001;Maison Battaglini;Cappella Village;OLMI CAPPELLA;2B190;Parking;2019-08-28;true;200066611;9.019964376;42.52851142;5;0;;;Collectivite de Corse;true;;42.52851142. 9.019964376;Corse;Haute-Corse;94;2B;1\r\n2B251-C-001;C-001;Casino Prunelli;Lieu-Dit Baldanaccia;PRUNELLI DI FIUMORBO;2B251;Supermarch;2019-08-28;true;200033827;9.4021082;42.0017842;0;0;;00:00-00:00;Prive;true;;42.0017842. 9.4021082;Corse;Haute-Corse;94;2B;1\r\n2B169-C-001;C-001;Place de l'eglise;Ponte-Leccia;MOROSAGLIA;2B169;Parking;2019-08-28;true;539830349;9.207787109;42.45982219;0;0;;00:00-00:00;Prive;;;42.45982219. 9.207787109;Corse;Haute-Corse;94;2B;1\r\n2B143-C-001;C-001;Mairie Annexe Linguizetta;Tavagliese;LINGUIZZETTA;2B143;Parking;2019-08-28;true;200033827;9.532426;42.197475;0;0;;00:00-00:00;Commune;;;42.197475. 9.532426;Corse;Haute-Corse;94;2B;1\r\n2A271-C-002;C-002;A Mizana - Mezzana;Gare;SARROLA CARCOPINO;2A271;Parking relais;2019-08-28;true;200076958;8.834890555;41.97926363;50;2;;00:00-00:00;Collectivite de Corse;true;transport : Train (CFC Gare de Mezzana);41.97926363. 8.834890555;Corse;Corse-du-Sud;94;2A;1\r\n2B009-C-001;C-001;Parking centre Aleria;Croisement RT10 - RT50;ALERIA;2B009;Parking;2019-08-28;true;200033827;9.5135567;42.1128247;25;0;;00:00-00:00;Collectivite de Corse;true;;42.1128247. 9.5135567;Corse;Haute-Corse;94;2B;1\r\n2B037-C-001;C-001;U 4 - Numero 4;Multari. Route Ortale;BIGUGLIA;2B037;Parking;2019-08-28;true;323415372;9.438484383;42.59414581;0;0;;00:00-00:00;Collectivite de Corse;;transport : Train (CFC Tragone);42.59414581. 9.438484383;Corse;Haute-Corse;94;2B;1\r\n2A209-C-001;C-001;Pharmacie Casabianca;Lieu-dit Confina;PERI;2A209;Supermarch;2019-08-28;true;539830349;8.867738653;42.01034119;0;1;;00:00-00:00;Prive;;;42.01034119. 8.867738653;Corse;Corse-du-Sud;94;2A;1\r\n2A271-C-003;C-003;U Giratoghju d'Afa - Giratoire d'Afa;Croisement RT20 - RD161;SARROLA CARCOPINO;2A271;Aire de covoiturage;2019-08-28;true;200076958;8.818963456;41.97129498;0;0;;00:00-00:00;Collectivite de Corse;;;41.97129498. 8.818963456;Corse;Corse-du-Sud;94;2A;1\r\n2B042-C-001;C-001;Precoju;Echangeur RT11 - Avenue de Borgo;BORGO;2B042;Dlaiss routier;2019-08-28;true;242000354;9.44048023;42.56897648;0;0;;00:00-00:00;Collectivite de Corse;false;;42.56897648. 9.44048023;Corse;Haute-Corse;94;2B;1\r\n2B123-C-001;C-001;Le Cintra;Av 9 septembre. croisement RT10 - RD144;GHISONACCIA;2B123;Parking;2019-08-28;true;200033827;9.403644281;42.01189004;43;2;;00:00-00:00;Collectivite de Corse;true;;42.01189004. 9.403644281;Corse;Haute-Corse;94;2B;1\r\n2A017-C-001;C-001;U Listincu - Listincone;Col du Listincone (Croisement RD81 - RD581 - RD61);APPIETTO;2A017;Parking;2019-08-28;true;222000028;8.7566936;42.0015011;0;0;;00:00-00:00;Collectivite de Corse;;;42.0015011. 8.7566936;Corse;Corse-du-Sud;94;2A;1\r\n2A004-C-001;C-001;A Confina;Lieu-dit Stagnacciu (Croisement RT22 - RD31);AJACCIO;2A004;Supermarch;2019-08-28;true;539830349;8.783403;41.9523692;0;0;;00:00-00:00;Prive;true;transport : Bus Muvistrada (2);41.9523692. 8.783403;Corse;Corse-du-Sud;94;2A;1\r\n2B033-C-001;C-001;P+R de Toga;Chemin du Furcone;BASTIA;2B033;Parking relais;2019-08-28;true;539830349;9.452273554;42.70808906;0;0;;00:00-00:00;Commune;;transport : Bastiabus;42.70808906. 9.452273554;Corse;Haute-Corse;94;2B;1\r\n2A085-C-002;C-002;U Pisciatellu;Croisement RT40 - RD302;CAURO;2A085;Parking;2019-08-28;true;200038958;8.83704451;41.91157705;0;0;;00:00-00:00;Collectivite de Corse;;;41.91157705. 8.83704451;Corse;Corse-du-Sud;94;2A;1\r\n2B124-C-001;C-001;Place de l'Eglise;;GHISONI;2B124;Parking;2019-08-28;true;200033827;9.212459623;42.1036557;0;0;;00:00-00:00;Commune;;;42.1036557. 9.212459623;Corse;Haute-Corse;94;2B;1\r\n2A004-C-004;C-004;Station-service BP;Route du Ricanto. Croisement RT21 - RD503;AJACCIO;2A004;Supermarch;2019-08-28;true;200076958;8.761640007;41.92940226;0;0;;00:00-00:00;Prive;true;transport : Bus Muvistrada (1);41.92940226. 8.761640007;Corse;Corse-du-Sud;94;2A;1\r\n2B148-C-005;C-005;Carrefour Crocetta;Avenue de Borgo;LUCCIANA;2B148;Supermarch;2019-08-28;true;242000354;9.44156328;42.55021909;0;0;;00:00-00:00;Prive;;;42.55021909. 9.44156328;Corse;Haute-Corse;94;2B;1\r\n2B169-C-004;C-004;Gare Ponte Leccia;Ponte-Leccia;MOROSAGLIA;2B169;Parking relais;2019-08-28;true;222000036;9.2043543;42.4650059;34;2;;00:00-00:00;Collectivite de Corse;true;transport : Train (CFC Ponte-Leccia);42.4650059. 9.2043543;Corse;Haute-Corse;94;2B;1\r\n"
  },
  {
    "path": "apps/transport/test/fixture/files/csv_utf8.csv",
    "content": "id_local,nom_lieu,ad_lieu,com_lieu,insee,type,date_maj,ouvert,source,Xlong,Ylat,nbre_pl,nbre_pmr,duree,horaires,proprio,lumiere,comm\r\n6,D33 PR: 0+500,,Saint-Martin-des-Entrées,14630,Aire de covoiturage,2024-04-15,true,,-0.6514878987759956,49.25113265974201,42,0,,,Département du Calvados,false,\r\n23,GIR6_N13 PR: *0*+9,,Saint-Martin-des-Entrées,14630,Aire de covoiturage,2024-04-15,true,,-0.6802375125318783,49.251470223722514,47,1,,,Département du Calvados,false,\r\n5,D572 PR: 18+784,,Saint-Loup-Hors,14609,Aire de covoiturage,2024-04-15,true,,-0.7222874005526051,49.25637256896916,59,0,,,Département du Calvados,false,\r\n41,D613 PR: 78+956,,Thue et Mue,14098,Aire de covoiturage,2024-04-15,true,,-0.541680022163859,49.2181964638343,28,,,,,false,\r\n57,D400 PR: 6+566,,Cricqueville-en-Auge,14203,Aire de covoiturage,2024-04-15,true,,-0.08563741207275435,49.23077767682846,8,,,,,false,\r\n7,Giratoire D562A/N814 PR: ,,Fleury-sur-Orne,14271,Aire de covoiturage,2024-04-15,true,,-0.377229545796408,49.13687257877527,39,1,,,Caen-la-Mer,false,\r\n25,Giratire D405 / N814 PR: 0+127,,Éterville,14254,Aire de covoiturage,2024-04-15,true,,-0.41588588863567305,49.15327653421661,28,,,,,false,\r\n37,Bd Petit Vallerent PR: ,,Caen,14118,Aire de covoiturage,2024-04-15,true,,-0.37437519266910635,49.17128496778836,,,,,,false,\r\n38,D147A PR: 11+268,,Verson,14738,Aire de covoiturage,2024-04-15,true,,-0.46762317611547927,49.157755498060375,80,2,,,,false,\r\n27,D675 PR: 57+200,,Bretteville-sur-Odon,14101,Aire de covoiturage,2024-04-15,true,,-0.4252954960357548,49.1632580748011,44,,,,,false,\r\n60,D 220 PR: ,,Bretteville-sur-Odon,14101,Aire de covoiturage,2024-04-15,true,,-0.43326159910136186,49.175336361171645,238,7,,,Caen-la-Mer,false,\r\n18,D41 PR: 15+577,,Castine-en-Plaine,14538,Aire de covoiturage,2024-04-15,true,,-0.3100973289773141,49.09064634038565,19,1,,,,false,\r\n79,D658A PR: 8+520,,Saint-Martin-de-Mieux,14627,Aire de covoiturage,2024-04-15,true,,-0.21834501143754095,48.886336243578505,40,,,,,false,\r\n78,D658A PR: 8+520,,Saint-Martin-de-Mieux,14627,Aire de covoiturage,2024-04-15,true,,-0.21846201842982926,48.88640199382859,40,,,,Département du Calvados,false,\r\n9,D226 PR: 6+15,,Colombelles,14167,Aire de covoiturage,2024-04-15,true,,-0.2919038234396303,49.19922948662631,59,0,,,Département du Calvados,false,\r\n26,Bretelle Av. G. Clémenceau/N814 PR: ,,Hérouville-Saint-Clair,14327,Aire de covoiturage,2024-04-15,true,,-0.33632945015989274,49.19173194507887,16,,,,,false,\r\n10,D235 PR: 12+357,,Ifs,14341,Aire de covoiturage,2024-04-15,true,,-0.33719462379812926,49.13673353791362,44,,,,,false,\r\n34,Bretelle N814 / ex-D235 PR: 0+54,,Ifs,14341,Aire de covoiturage,2024-04-15,true,,-0.35048271466915676,49.15060315810893,78,,,,,false,\r\n68,D675 PR: 51+260,,Giberville,14301,Aire de covoiturage,2024-04-15,true,,-0.29473583678501253,49.17191557875996,46,3,,,Caen-la-Mer,false,\r\n54,GIR4_16 PR: *0*+70,,Saint-Pierre-en-Auge,14654,Aire de covoiturage,2024-04-15,true,,-0.029964753500646788,49.02678894603295,15,0,,,Département du Calvados,false,\r\n43,D16 PR: 11+513,,Notre-Dame-d'Estrées-Corbon,14474,Aire de covoiturage,2024-04-15,true,,-0.009460292977774848,49.141338813409504,25,,,,,false,\r\n66,D 16 PR: ,,Bonnebosq,14083,Aire de covoiturage,2024-04-15,true,,0.09676219373593341,49.23449099683463,15,,,,,false,\r\n28,\"VC \"\"Le Maresquier\"\" PR: \",,Ouistreham,14488,Aire de covoiturage,2024-04-15,true,,-0.26261013197391725,49.262921083078474,16,1,,,,false,\r\n42,D579 PR: 15+140,,Pont-l'Évêque,14514,Aire de covoiturage,2024-04-15,true,,0.1875994101989792,49.29773086485799,19,0,,,Département du Calvados,false,\r\n35,D579 PR: 21+304,,Fierville-les-Parcs,14269,Aire de covoiturage,2024-04-15,true,,0.22060566126174674,49.250977795617416,5,2,,,,false,\r\n53,D254A PR: 0+52,,Esson,14251,Aire de covoiturage,2024-04-15,true,,-0.4742534055744476,48.97797379131417,17,,,,,false,\r\n30,D572 PR: 0+132,,Litteau,14369,Aire de covoiturage,2024-04-15,true,,-0.9297678481374964,49.158460808506064,10,0,,,Département du Calvados,false,\r\n31,D613 PR: 51+407,,Vimont,14761,Aire de covoiturage,2024-04-15,true,,-0.20065060137949714,49.122806215319244,20,2,,,Commune de Vimont,false,\r\n32,D675 PR: 44+296,,Troarn,14712,Aire de covoiturage,2024-04-15,true,,-0.20262551731033882,49.17898476478968,49,,,,,false,\r\n39,D55B PR: 6+136,,Vire-Normandie,14762,Aire de covoiturage,2024-04-15,true,,-0.8700813253580557,48.86717795140262,25,,,,,false,\r\n33,D401 PR: 3+386,,Caen,14118,Aire de covoiturage,2024-04-15,true,,-0.361761593127739,49.210705438434225,148,,,,,false,\r\n24,GIR53_292_A84 PR: *0*+109,,Souleuvre-en-Bocage,14061,Aire de covoiturage,2024-04-15,true,,-0.8327023033946094,49.024883315303,20,0,,,Département du Calvados,false,\r\n36,D56 PR: 0+33,,Souleuvre-en-Bocage,14061,Aire de covoiturage,2024-04-15,true,,-0.9150833778701573,48.98874431849013,2,,,,,false,\r\n51,D562 PR: 0+156,,Condé-en-Normandie,14174,Aire de covoiturage,2024-04-15,true,,-0.5602133447042599,48.835851558750115,5,,,,,false,\r\n52,D512 PR: 0+942,,Condé-en-Normandie,14174,Aire de covoiturage,2024-04-15,true,,-0.5634736021947236,48.8514797346678,10,,,,,false,\r\n58,D675 PR: 81+863,,Seulline,14579,Aire de covoiturage,2024-04-15,true,,-0.7110540324027323,49.05209035059011,25,0,,,Département du Calvados,false,\r\n40,D6 PR: 34+541,,Maisoncelles-Pelvey,14389,Aire de covoiturage,2024-04-15,true,,-0.6590221112064645,49.06675114342179,44,0,,,Département du Calvados,false,\r\n"
  },
  {
    "path": "apps/transport/test/fixture/files/gtfs-rt-validator-errors.json",
    "content": "[ {\n  \"errorMessage\" : {\n    \"messageId\" : 0,\n    \"gtfsRtFeedIterationModel\" : null,\n    \"validationRule\" : {\n      \"errorId\" : \"W002\",\n      \"severity\" : \"WARNING\",\n      \"title\" : \"vehicle_id not populated\",\n      \"errorDescription\" : \"vehicle_id should be populated for TripUpdates and VehiclePositions\",\n      \"occurrenceSuffix\" : \"does not have a vehicle_id\"\n    },\n    \"errorDetails\" : null\n  },\n  \"occurrenceList\" : [ {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646637\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646540\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646839\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646810\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646604\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646746\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646660\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646873\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646837\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646562\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646794\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646793\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646904\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646744\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646585\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646874\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646811\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646661\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646745\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646542\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646650\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646563\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646662\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646905\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646659\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646838\"\n  } ]\n}, {\n  \"errorMessage\" : {\n    \"messageId\" : 0,\n    \"gtfsRtFeedIterationModel\" : null,\n    \"validationRule\" : {\n      \"errorId\" : \"E002\",\n      \"severity\" : \"ERROR\",\n      \"title\" : \"stop_times_updates not strictly sorted\",\n      \"errorDescription\" : \"stop_time_updates for a given trip_id must be strictly sorted by increasing stop_sequence\",\n      \"occurrenceSuffix\" : \"is not strictly sorted by increasing stop_sequence\"\n    },\n    \"errorDetails\" : null\n  },\n  \"occurrenceList\" : [ {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646603 stop_sequence [5, 0]\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646604 stop_sequence [5, 0]\"\n  } ]\n}, {\n  \"errorMessage\" : {\n    \"messageId\" : 0,\n    \"gtfsRtFeedIterationModel\" : null,\n    \"validationRule\" : {\n      \"errorId\" : \"E036\",\n      \"severity\" : \"ERROR\",\n      \"title\" : \"Sequential stop_time_updates have the same stop_sequence\",\n      \"errorDescription\" : \"Sequential GTFS-rt trip stop_time_updates should never have the same stop_sequence\",\n      \"occurrenceSuffix\" : \"- stop_sequence must increase for each stop_time_update\"\n    },\n    \"errorDetails\" : null\n  },\n  \"occurrenceList\" : [ {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646603 has repeating stop_sequence 0\"\n  }, {\n    \"occurrenceId\" : 0,\n    \"messageLogModel\" : null,\n    \"prefix\" : \"trip_id 17646604 has repeating stop_sequence 0\"\n  } ]\n} ]\n"
  },
  {
    "path": "apps/transport/test/fixture/gbfs/free_bike_status.2.2.json",
    "content": "{\n  \"last_updated\":1609866247,\n  \"ttl\":0,\n  \"version\":\"2.2\",\n  \"data\":{\n    \"bikes\":[\n      {\n        \"bike_id\":\"ghi789\",\n        \"last_reported\":1609866109,\n        \"lat\":12.34,\n        \"lon\":56.78,\n        \"is_reserved\":false,\n        \"is_disabled\":false,\n        \"vehicle_type_id\":\"abc123\"\n      },\n      {\n        \"bike_id\":\"jkl012\",\n        \"last_reported\":1609866204,\n        \"is_reserved\":false,\n        \"is_disabled\":false,\n        \"vehicle_type_id\":\"def456\",\n        \"current_range_meters\":6543,\n        \"station_id\":\"86\",\n        \"pricing_plan_id\":\"plan3\"\n      }\n    ]\n  }\n}\n"
  },
  {
    "path": "apps/transport/test/fixture/gbfs/gbfs.2.2.json",
    "content": "{\n  \"last_updated\": 1609866247,\n  \"ttl\": 0,\n  \"version\": \"2.2\",\n  \"data\": {\n    \"en\": {\n      \"feeds\": [\n        {\n          \"name\": \"station_status\",\n          \"url\": \"https://example.com/gbfs/station_status\"\n        },\n        {\n          \"name\": \"station_information\",\n          \"url\": \"https://example.com/gbfs/station_information\"\n        },\n        {\n          \"name\": \"free_bike_status\",\n          \"url\": \"https://example.com/gbfs/free_bike_status\"\n        }\n      ]\n    }\n  }\n}\n"
  },
  {
    "path": "apps/transport/test/fixture/gbfs/gbfs.3.0.json",
    "content": "{\n  \"last_updated\": \"2023-07-17T13:34:13+02:00\",\n  \"ttl\": 0,\n  \"version\": \"3.0\",\n  \"data\": {\n    \"feeds\": [\n      {\n        \"name\": \"station_status\",\n        \"url\": \"https://example.com/gbfs/station_status\"\n      },\n      {\n        \"name\": \"station_information\",\n        \"url\": \"https://example.com/gbfs/station_information\"\n      },\n      {\n        \"name\": \"vehicle_status\",\n        \"url\": \"https://example.com/gbfs/vehicle_status\"\n      }\n    ]\n  }\n}\n"
  },
  {
    "path": "apps/transport/test/fixture/gbfs/station_information.2.2.json",
    "content": "{\n  \"last_updated\": 1609866247,\n  \"ttl\": 0,\n  \"version\": \"2.2\",\n  \"data\": {\n    \"stations\": [\n      {\n        \"station_id\": \"pga\",\n        \"name\": \"Parking garage A\",\n        \"lat\": 12.345678,\n        \"lon\": 45.678901,\n        \"vehicle_type_capacity\": {\n          \"abc123\": 7,\n          \"def456\": 9\n        }\n      }\n    ]\n  }\n}\n"
  },
  {
    "path": "apps/transport/test/fixture/gbfs/station_information.3.0.json",
    "content": "{\n  \"last_updated\": \"2023-07-17T13:34:13+02:00\",\n  \"ttl\": 0,\n  \"version\": \"3.0\",\n  \"data\": {\n    \"stations\": [\n      {\n        \"station_id\": \"pga\",\n        \"name\": [\n          {\n            \"text\": \"Parking garage A\",\n            \"language\": \"en\"\n          }\n        ],\n        \"lat\": 12.345678,\n        \"lon\": 45.678901,\n        \"station_opening_hours\": \"Su-Th 05:00-22:00; Fr-Sa 05:00-01:00\",\n        \"parking_type\": \"underground_parking\",\n        \"parking_hoop\": false,\n        \"contact_phone\": \"+33109874321\",\n        \"is_charging_station\": true,\n        \"vehicle_docks_capacity\": [\n          {\n            \"vehicle_type_ids\": [\"abc123\"],\n            \"count\": 7\n          }\n        ]\n      },\n      {\n        \"station_id\": \"station12\",\n        \"name\": [\n          {\n            \"text\": \"SE Belmont & SE 10th\",\n            \"language\": \"en\"\n          }\n        ],\n        \"lat\": 45.516445,\n        \"lon\": -122.655775,\n        \"is_valet_station\": false,\n        \"is_virtual_station\": true,\n        \"is_charging_station\": false,\n        \"station_area\": {\n          \"type\": \"MultiPolygon\",\n          \"coordinates\": [\n            [\n              [\n                [\n                  -122.655775,\n                  45.516445\n                ],\n                [\n                  -122.655705,\n                  45.516445\n                ],\n                [\n                  -122.655705,\n                  45.516495\n                ],\n                [\n                  -122.655775,\n                  45.516495\n                ],\n                [\n                  -122.655775,\n                  45.516445\n                ]\n              ]\n            ]\n          ]\n        },\n        \"capacity\": 16,\n        \"vehicle_types_capacity\": [\n          {\n            \"vehicle_type_ids\": [\"abc123\", \"def456\"],\n            \"count\": 15\n          },\n          {\n            \"vehicle_type_ids\": [\"def456\"],\n            \"count\": 1\n          }\n\n        ]\n      }\n    ]\n  }\n}\n"
  },
  {
    "path": "apps/transport/test/fixture/gbfs/station_status.2.2.json",
    "content": "{\n  \"last_updated\":1609866247,\n  \"ttl\":0,\n  \"version\":\"2.2\",\n  \"data\":{\n    \"stations\":[\n      {\n        \"station_id\":\"station 1\",\n        \"is_installed\":true,\n        \"is_renting\":true,\n        \"is_returning\":true,\n        \"last_reported\":1609866125,\n        \"num_docks_available\":3,\n        \"vehicle_docks_available\":[\n          {\n            \"vehicle_type_ids\":[\n              \"abc123\"\n            ],\n            \"count\":2\n          },\n          {\n            \"vehicle_type_ids\":[\n              \"def456\"\n            ],\n            \"count\":1\n          }\n        ],\n        \"num_bikes_available\":1,\n        \"vehicle_types_available\":[\n          {\n            \"vehicle_type_id\":\"abc123\",\n            \"count\":1\n          },\n          {\n            \"vehicle_type_id\":\"def456\",\n            \"count\":0\n          }\n        ]\n      },\n      {\n        \"station_id\":\"station 2\",\n        \"is_installed\":true,\n        \"is_renting\":true,\n        \"is_returning\":true,\n        \"last_reported\":1609866106,\n        \"num_docks_available\":8,\n        \"num_docks_disabled\":1,\n        \"vehicle_docks_available\":[\n          {\n            \"vehicle_type_ids\":[\n              \"abc123\"\n            ],\n            \"count\":6\n          },\n          {\n            \"vehicle_type_ids\":[\n              \"def456\"\n            ],\n            \"count\":2\n          }\n        ],\n        \"num_bikes_available\":6,\n        \"vehicle_types_available\":[\n          {\n            \"vehicle_type_id\":\"abc123\",\n            \"count\":2\n          },\n          {\n            \"vehicle_type_id\":\"def456\",\n            \"count\":4\n          }\n        ]\n      },\n      {\n        \"station_id\":\"station 3\",\n        \"is_installed\":true,\n        \"is_renting\":true,\n        \"is_returning\":true,\n        \"last_reported\":1609866106,\n        \"num_docks_available\":999999,\n        \"num_bikes_available\":555555\n      }\n    ]\n  }\n}\n"
  },
  {
    "path": "apps/transport/test/fixture/gbfs/station_status.3.0.json",
    "content": "{\n  \"last_updated\":\"2023-07-17T13:34:13+02:00\",\n  \"ttl\":0,\n  \"version\":\"3.0\",\n  \"data\":{\n    \"stations\":[\n      {\n        \"station_id\":\"station1\",\n        \"is_installed\":true,\n        \"is_renting\":true,\n        \"is_returning\":true,\n        \"last_reported\":\"2023-07-17T13:34:13+02:00\",\n        \"num_docks_available\":3,\n        \"num_docks_disabled\":1,\n        \"vehicle_docks_available\":[\n          {\n            \"vehicle_type_ids\":[\n              \"abc123\",\n              \"def456\"\n            ],\n            \"count\":2\n          },\n          {\n            \"vehicle_type_ids\":[\n              \"def456\"\n            ],\n            \"count\":1\n          }\n        ],\n        \"num_vehicles_available\":1,\n        \"num_vehicles_disabled\":2,\n        \"vehicle_types_available\":[\n          {\n            \"vehicle_type_id\":\"abc123\",\n            \"count\":1\n          },\n          {\n            \"vehicle_type_id\":\"def456\",\n            \"count\":0\n          }\n        ]\n      },\n      {\n        \"station_id\":\"station2\",\n        \"is_installed\":true,\n        \"is_renting\":true,\n        \"is_returning\":true,\n        \"last_reported\":\"2023-07-17T13:34:13+02:00\",\n        \"num_docks_available\":8,\n        \"num_docks_disabled\":1,\n        \"vehicle_docks_available\":[\n          {\n            \"vehicle_type_ids\":[\n              \"abc123\"\n            ],\n            \"count\":6\n          },\n          {\n            \"vehicle_type_ids\":[\n              \"def456\"\n            ],\n            \"count\":2\n          }\n        ],\n        \"num_vehicles_available\":6,\n        \"num_vehicles_disabled\":1,\n        \"vehicle_types_available\":[\n          {\n            \"vehicle_type_id\":\"abc123\",\n            \"count\":2\n          },\n          {\n            \"vehicle_type_id\":\"def456\",\n            \"count\":4\n          }\n        ]\n      }\n    ]\n  }\n}\n"
  },
  {
    "path": "apps/transport/test/fixture/gbfs/vehicle_status.3.0.json",
    "content": "{\n  \"last_updated\":\"2023-07-17T13:34:13+02:00\",\n  \"ttl\":0,\n  \"version\":\"3.0\",\n  \"data\":{\n    \"vehicles\":[\n      {\n        \"vehicle_id\":\"973a5c94-c288-4a2b-afa6-de8aeb6ae2e5\",\n        \"last_reported\":\"2023-07-17T13:34:13+02:00\",\n        \"lat\":12.345678,\n        \"lon\":56.789012,\n        \"is_reserved\":false,\n        \"is_disabled\":true,\n        \"vehicle_type_id\":\"abc123\",\n        \"rental_uris\":{\n          \"android\":\"https://www.example.com/app?vehicle_id=973a5c94-c288-4a2b-afa6-de8aeb6ae2e5&platform=android&\",\n          \"ios\":\"https://www.example.com/app?vehicle_id=973a5c94-c288-4a2b-afa6-de8aeb6ae2e5&platform=ios\"\n        }\n      },\n      {\n        \"vehicle_id\":\"987fd100-b822-4347-86a4-b3eef8ca8b53\",\n        \"last_reported\":\"2023-07-17T13:34:13+02:00\",\n        \"is_reserved\":true,\n        \"is_disabled\":false,\n        \"vehicle_type_id\":\"def456\",\n        \"current_range_meters\":6543.0,\n        \"station_id\":\"86\",\n        \"pricing_plan_id\":\"plan3\"\n      }\n    ]\n  }\n}\n"
  },
  {
    "path": "apps/transport/test/fixture/schemas/schemas.json",
    "content": "{\n   \"$schema\":\"https://opendataschema.frama.io/catalog/schema-catalog.json\",\n   \"version\":1,\n   \"schemas\":[\n      {\n         \"name\":\"foo/bar\",\n         \"labels\":[\n\n         ]\n      },\n      {\n         \"name\":\"etalab/schema-amenagements-cyclables\",\n         \"title\":\"Am\\u00e9nagements cyclables\",\n         \"description\":\"Sp\\u00e9cification du sch\\u00e9ma de donn\\u00e9es d'am\\u00e9nagements cyclables\",\n         \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-amenagements-cyclables/latest/schema_amenagements_cyclables.json\",\n         \"schema_type\":\"jsonschema\",\n         \"contact\":\"contact@transport.beta.gouv.fr\",\n         \"examples\":[\n\n         ],\n         \"labels\":[\n            \"transport.data.gouv.fr\",\n            \"Socle Commun des Donn\\u00e9es Locales\"\n         ],\n         \"versions\":[\n            {\n               \"version_name\":\"0.1.0\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-amenagements-cyclables/0.1.0/schema_amenagements_cyclables.json\"\n            },\n            {\n               \"version_name\":\"0.2.0\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-amenagements-cyclables/0.2.0/schema_amenagements_cyclables.json\"\n            },\n            {\n               \"version_name\":\"0.2.1\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-amenagements-cyclables/0.2.1/schema_amenagements_cyclables.json\"\n            },\n            {\n               \"version_name\":\"0.2.2\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-amenagements-cyclables/0.2.2/schema_amenagements_cyclables.json\"\n            },\n            {\n               \"version_name\":\"0.2.3\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-amenagements-cyclables/0.2.3/schema_amenagements_cyclables.json\"\n            },\n            {\n               \"version_name\":\"0.3.0\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-amenagements-cyclables/0.3.0/schema_amenagements_cyclables.json\"\n            },\n            {\n               \"version_name\":\"0.3.1\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-amenagements-cyclables/0.3.1/schema_amenagements_cyclables.json\"\n            },\n            {\n               \"version_name\":\"0.3.2\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-amenagements-cyclables/0.3.2/schema_amenagements_cyclables.json\"\n            },\n            {\n               \"version_name\":\"0.3.3\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-amenagements-cyclables/0.3.3/schema_amenagements_cyclables.json\"\n            }\n         ],\n         \"external_doc\":\"https://doc.transport.data.gouv.fr/producteurs/amenagements-cyclables\",\n         \"external_tool\":\"https://github.com/etalab/schema-amenagements-cyclables/tree/master/tools\",\n         \"homepage\":\"https://github.com/etalab/schema-amenagements-cyclables\"\n      },\n      {\n         \"name\":\"etalab/schema-zfe\",\n         \"title\":\"Zone \\u00e0 Faibles Emissions\",\n         \"description\":\"Sp\\u00e9cification du sch\\u00e9ma de donn\\u00e9es des Zones \\u00e0 Faibles Emissions\",\n         \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-zfe/latest/schema.json\",\n         \"schema_type\":\"jsonschema\",\n         \"contact\":\"contact@transport.beta.gouv.fr\",\n         \"examples\":[\n\n         ],\n         \"labels\":[\n            \"transport.data.gouv.fr\"\n         ],\n         \"versions\":[\n            {\n               \"version_name\":\"0.6.1\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-zfe/0.6.1/schema.json\"\n            },\n            {\n               \"version_name\":\"0.7.0\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-zfe/0.7.0/schema.json\"\n            },\n            {\n               \"version_name\":\"0.7.1\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-zfe/0.7.1/schema.json\"\n            },\n            {\n               \"version_name\":\"0.7.2\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-zfe/0.7.2/schema.json\"\n            }\n         ],\n         \"external_doc\":\"https://doc.transport.data.gouv.fr/producteurs/zones-a-faibles-emissions\",\n         \"external_tool\":null,\n         \"homepage\":\"https://github.com/etalab/schema-zfe\"\n      },\n      {\n         \"name\":\"etalab/schema-lieux-covoiturage\",\n         \"title\":\"Lieux de covoiturage\",\n         \"description\":\"Sp\\u00e9cification des lieux permettant le covoiturage\",\n         \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-lieux-covoiturage/latest/schema.json\",\n         \"schema_type\":\"tableschema\",\n         \"contact\":\"contact@transport.beta.gouv.fr\",\n         \"examples\":[\n            {\n               \"title\":\"Ressource valide\",\n               \"name\":\"exemple-valide\",\n               \"path\":\"https://github.com/etalab/schema-lieux-covoiturage/raw/v0.2.2/exemple-valide.csv\"\n            },\n            {\n               \"title\":\"Ressource invalide\",\n               \"name\":\"exemple-invalide\",\n               \"path\":\"https://github.com/etalab/schema-lieux-covoiturage/raw/v0.2.2/exemple-invalide.csv\"\n            }\n         ],\n         \"labels\":[\n            \"transport.data.gouv.fr\"\n         ],\n         \"versions\":[\n            {\n               \"version_name\":\"0.0.1\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-lieux-covoiturage/0.0.1/schema.json\"\n            },\n            {\n               \"version_name\":\"0.1.0\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-lieux-covoiturage/0.1.0/schema.json\"\n            },\n            {\n               \"version_name\":\"0.1.1\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-lieux-covoiturage/0.1.1/schema.json\"\n            },\n            {\n               \"version_name\":\"0.1.2\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-lieux-covoiturage/0.1.2/schema.json\"\n            },\n            {\n               \"version_name\":\"0.2.0\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-lieux-covoiturage/0.2.0/schema.json\"\n            },\n            {\n               \"version_name\":\"0.2.1\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-lieux-covoiturage/0.2.1/schema.json\"\n            },\n            {\n               \"version_name\":\"0.2.2\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-lieux-covoiturage/0.2.2/schema.json\"\n            },\n            {\n               \"version_name\":\"0.2.3\",\n               \"schema_url\":\"https://schema.data.gouv.fr/schemas/etalab/schema-lieux-covoiturage/0.2.3/schema.json\"\n            }\n         ],\n         \"external_doc\":null,\n         \"external_tool\":null,\n         \"homepage\":\"https://github.com/etalab/schema-lieux-covoiturage.git\"\n      },\n      {\n         \"name\": \"etalab/schema-irve\",\n         \"title\": \"Infrastructures de recharges pour véhicules électriques\",\n         \"description\": \"data package contenant 2 schémas : IRVE statique et IRVE dynamique\",\n         \"schema_url\": \"https://schema.data.gouv.fr/schemas/etalab/schema-irve/latest/datapackage.json\",\n         \"schema_type\": \"datapackage\",\n         \"contact\": \"contact@transport.beta.gouv.fr\",\n         \"examples\": [],\n         \"labels\": [\n            \"Socle Commun des Données Locales\",\n            \"transport.data.gouv.fr\"\n         ],\n         \"consolidation_dataset_id\": \"5448d3e0c751df01f85d0572\",\n         \"versions\": [\n            {\n               \"version_name\": \"2.2.0\",\n               \"schema_url\": \"https://schema.data.gouv.fr/schemas/etalab/schema-irve/2.2.0/datapackage.json\"\n            }\n         ],\n         \"external_doc\": \"https://doc.transport.data.gouv.fr/producteurs/infrastructures-de-recharge-de-vehicules-electriques-irve\",\n         \"external_tool\": null,\n         \"homepage\": \"https://github.com/etalab/schema-irve.git\"\n      }\n   ]\n}\n"
  },
  {
    "path": "apps/transport/test/fixture/schemas/validata_source_error.json",
    "content": "{\"schema\": \"https://raw.githubusercontent.com/etalab/lieux-covoiturage/refs/heads/master/schema.json\",\"url\": \"https://example.com/file\",\"options\": {\"ignore_header_case\": \"false\"},\"error\": {\"message\": \"The data source could not be successfully loaded: HTTPConnectionPool(host='example.com', port=443): Max retries exceeded with url: file (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7f7dd9a6a910>, 'Connection to example.com timed out. (connect timeout=10)'))\",\"type\": \"source-error\"}}\n"
  },
  {
    "path": "apps/transport/test/fixture/schemas/validata_unknown_custom_check_error.json",
    "content": "{\"schema\":\"https://schema.data.gouv.fr/schemas/etalab/schema-stationnement-cyclable/1.1.1/schema.json\",\"url\":\"https://static.data.gouv.fr/resources/stationnement-cyclable-communaute-lesneven-cote-des-legendes/20220617-135734/data.csv\",\"options\":{\"ignore_header_case\":\"false\"},\"version\":\"0.12.0\",\"date\":\"2022-06-20T07:49:33.810216+00:00\",\"report\":{\"valid\":false,\"stats\":{\"errors\":1,\"warnings\":0,\"seconds\":0.04,\"fields\":21,\"rows\":76},\"errors\":[{\"message\":\"Tentative de définir le custom check 'french_gps_coordinates', qui n'est pas connu.\",\"type\":\"check-error\",\"tags\":[\"#structure\"]}]}}\n"
  },
  {
    "path": "apps/transport/test/fixture/schemas/validata_with_errors.json",
    "content": "{\"schema\":\"https://schema.data.gouv.fr/schemas/etalab/schema-irve-statique/2.3.1/schema-statique.json\",\"url\":\"https://raw.githubusercontent.com/etalab/schema-irve/v1.0.3/exemple-valide.csv\",\"options\":{\"ignore_header_case\":\"false\"},\"version\":\"0.12.0\",\"date\":\"2024-11-06T15:10:22.595699+00:00\",\"report\":{\"valid\":false,\"stats\":{\"errors\":23,\"warnings\":30,\"seconds\":0.035,\"fields\":17,\"rows\":2,\"rows_processed\":2},\"warnings\":[\"Colonne manquante : Ajoutez la colonne manquante `nom_amenageur`.\",\"Colonne manquante : Ajoutez la colonne manquante `siren_amenageur`.\",\"Colonne manquante : Ajoutez la colonne manquante `contact_amenageur`.\",\"Colonne manquante : Ajoutez la colonne manquante `nom_operateur`.\",\"Colonne manquante : Ajoutez la colonne manquante `telephone_operateur`.\",\"Colonne manquante : Ajoutez la colonne manquante `id_station_local`.\",\"Colonne manquante : Ajoutez la colonne manquante `code_insee_commune`.\",\"Colonne manquante : Ajoutez la colonne manquante `id_pdc_local`.\",\"Colonne manquante : Ajoutez la colonne manquante `gratuit`.\",\"Colonne manquante : Ajoutez la colonne manquante `paiement_cb`.\",\"Colonne manquante : Ajoutez la colonne manquante `paiement_autre`.\",\"Colonne manquante : Ajoutez la colonne manquante `tarification`.\",\"Colonne manquante : Ajoutez la colonne manquante `raccordement`.\",\"Colonne manquante : Ajoutez la colonne manquante `num_pdl`.\",\"Colonne manquante : Ajoutez la colonne manquante `date_mise_en_service`.\",\"Colonne manquante : Ajoutez la colonne manquante `cable_t2_attache`.\",\"Colonne surnuméraire : Retirez la colonne `n_amenageur` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `n_operateur` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `n_enseigne` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `id_station` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `n_station` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `ad_station` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `code_insee` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `Xlongitude` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `Ylatitude` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `id_pdc` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `puiss_max` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `type_prise` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `acces_recharge` non définie dans le schéma.\",\"Colonne surnuméraire : Retirez la colonne `accessibilité` non définie dans le schéma.\"],\"errors\":[{\"message\":\"La colonne obligatoire `contact_operateur` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"contact_operateur\",\"fieldNumber\":18},{\"message\":\"La colonne obligatoire `nom_enseigne` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"nom_enseigne\",\"fieldNumber\":19},{\"message\":\"La colonne obligatoire `id_station_itinerance` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"id_station_itinerance\",\"fieldNumber\":20},{\"message\":\"La colonne obligatoire `nom_station` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"nom_station\",\"fieldNumber\":21},{\"message\":\"La colonne obligatoire `implantation_station` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"implantation_station\",\"fieldNumber\":22},{\"message\":\"La colonne obligatoire `adresse_station` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"adresse_station\",\"fieldNumber\":23},{\"message\":\"La colonne obligatoire `coordonneesXY` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"coordonneesXY\",\"fieldNumber\":24},{\"message\":\"La colonne obligatoire `id_pdc_itinerance` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"id_pdc_itinerance\",\"fieldNumber\":25},{\"message\":\"La colonne obligatoire `puissance_nominale` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"puissance_nominale\",\"fieldNumber\":26},{\"message\":\"La colonne obligatoire `prise_type_ef` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"prise_type_ef\",\"fieldNumber\":27},{\"message\":\"La colonne obligatoire `prise_type_2` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"prise_type_2\",\"fieldNumber\":28},{\"message\":\"La colonne obligatoire `prise_type_combo_ccs` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"prise_type_combo_ccs\",\"fieldNumber\":29},{\"message\":\"La colonne obligatoire `prise_type_chademo` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"prise_type_chademo\",\"fieldNumber\":30},{\"message\":\"La colonne obligatoire `prise_type_autre` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"prise_type_autre\",\"fieldNumber\":31},{\"message\":\"La colonne obligatoire `paiement_acte` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"paiement_acte\",\"fieldNumber\":32},{\"message\":\"La colonne obligatoire `condition_acces` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"condition_acces\",\"fieldNumber\":33},{\"message\":\"La colonne obligatoire `reservation` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"reservation\",\"fieldNumber\":34},{\"message\":\"La colonne obligatoire `horaires` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"horaires\",\"fieldNumber\":35},{\"message\":\"La colonne obligatoire `accessibilite_pmr` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"accessibilite_pmr\",\"fieldNumber\":36},{\"message\":\"La colonne obligatoire `restriction_gabarit` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"restriction_gabarit\",\"fieldNumber\":37},{\"message\":\"La colonne obligatoire `station_deux_roues` est manquante\",\"type\":\"missing-label\",\"tags\":[\"#table\",\"#header\",\"#label\"],\"fieldName\":\"station_deux_roues\",\"fieldNumber\":38},{\"message\":\"La date doit être écrite sous la forme `aaaa-mm-jj`\",\"type\":\"type-error\",\"tags\":[\"#table\",\"#row\",\"#cell\"],\"rowNumber\":2,\"fieldName\":\"date_maj\",\"fieldNumber\":17,\"cell\":\"2018/03/31\"},{\"message\":\"La date doit être écrite sous la forme `aaaa-mm-jj`\",\"type\":\"type-error\",\"tags\":[\"#table\",\"#row\",\"#cell\"],\"rowNumber\":3,\"fieldName\":\"date_maj\",\"fieldNumber\":17,\"cell\":\"2018/3/31\"}]}}\n"
  },
  {
    "path": "apps/transport/test/fixture/schemas/validata_with_file_error.json",
    "content": "{\"schema\":\"https://schema.data.gouv.fr/schemas/etalab/schema-irve/latest/schema.json\",\"url\":\"https://www.data.gouv.fr/fr/datasets/r/099eb6ff-bcf4-42be-bda7-61dfe1ca4c9f\",\"options\":{\"ignore_header_case\":\"false\"},\"error\":{\"message\":\"JSON non valide ; Expecting value: line 1 column 1 (char 0)\",\"type\":\"json-format-error\"}}\n"
  },
  {
    "path": "apps/transport/test/fixture/schemas/validata_with_no_errors.json",
    "content": "{\"schema\":\"https://schema.data.gouv.fr/schemas/etalab/schema-irve-statique/2.3.1/schema-statique.json\",\"url\":\"https://static.data.gouv.fr/resources/fichier-exemple-stations-de-recharge-de-vehicules-electriques/20210505-170339/exemple-valide.csv\",\"options\":{\"ignore_header_case\":\"false\"},\"date\":\"2024-08-23T12:01:33.190039+00:00\",\"version\":\"0.12.0\",\"report\":{\"valid\":true,\"stats\":{\"errors\":0,\"warnings\":1,\"seconds\":0.074,\"fields\":39,\"rows\":1,\"rows_processed\":1},\"warnings\":[\"Colonne manquante : Ajoutez la colonne manquante `cable_t2_attache`.\"],\"errors\":[]}}\n"
  },
  {
    "path": "apps/transport/test/fixture/schemas/validata_with_opening_hours_error.json",
    "content": "{\"schema\":\"https://schema.data.gouv.fr/schemas/etalab/schema-lieux-covoiturage/0.2.4/schema.json\",\"url\":\"https://gist.githubusercontent.com/AntoineAugusti/59889a3e82ecfcdcc40cddaf8bfbd8cc/raw/4cd50116e4b8232be0a86136f57153992f737306/covoit_invalide.csv\",\"options\":{\"ignore_header_case\":\"false\"},\"date\":\"2024-08-23T12:02:37.487948+00:00\",\"version\":\"0.12.0\",\"report\":{\"valid\":false,\"stats\":{\"errors\":1,\"warnings\":0,\"seconds\":0.04,\"fields\":19,\"rows\":1,\"rows_processed\":1},\"warnings\":[],\"errors\":[{\"message\":\"La valeur 'lundi à dimanche' n'est pas une définition d'horaire d'ouverture correcte.\\n\\n Celle-ci doit respecter la spécification [OpenStreetMap](https://wiki.openstreetmap.org/wiki/Key:opening_hours) de description d'horaires d'ouverture.\",\"type\":\"opening-hours-value\",\"tags\":[\"#body\"],\"rowNumber\":2,\"fieldName\":\"horaires\",\"fieldNumber\":16,\"cell\":\"lundi à dimanche\"}]}}\n"
  },
  {
    "path": "apps/transport/test/gtfs/utils_test.exs",
    "content": "defmodule Transport.GTFS.UtilsTest do\n  use ExUnit.Case, async: true\n  doctest Transport.GTFS.Utils, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/netex/archive_parser_test.exs",
    "content": "defmodule Transport.NeTEx.ArchiveParserTest do\n  use ExUnit.Case, async: true\n\n  alias Transport.NeTEx.ArchiveParser\n\n  # not fully correct XML, but close enough for what we want to test\n  def some_netex_content do\n    \"\"\"\n        <GeneralFrame>\n          <members>\n            <StopPlace id=\"FR:HELLO:POYARTIN:001\">\n            <Name>Poyartin</Name>\n            <Centroid>\n              <Location>\n                <Latitude>43.6690</Latitude>\n                <Longitude>-0.9190</Longitude>\n              </Location>\n            </Centroid>\n          </StopPlace>\n        </members>\n      </GeneralFrame>\n    \"\"\"\n  end\n\n  test \"traverse the archive and return relevant content\" do\n    tmp_file = create_tmp_netex([{\"arrets.xml\", some_netex_content()}])\n\n    # given a zip netex archive containing 1 file, I want the output I expected\n    [{\"arrets.xml\", data}] = ArchiveParser.read_all_stop_places(tmp_file)\n\n    assert data ==\n             {:ok,\n              [\n                %{id: \"FR:HELLO:POYARTIN:001\", latitude: 43.669, longitude: -0.919, name: \"Poyartin\"}\n              ]}\n\n    # given a zip netex archive containing 1 file, I want the output I expected\n    [{\"arrets.xml\", data}] = ArchiveParser.read_all_stop_places!(tmp_file)\n\n    assert data == [\n             %{id: \"FR:HELLO:POYARTIN:001\", latitude: 43.669, longitude: -0.919, name: \"Poyartin\"}\n           ]\n  end\n\n  test \"extract validity dates from service calendars\" do\n    service_calendar_content = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" xmlns:siri=\"http://www.siri.org.uk/siri\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" version=\"1.0\" xsi:schemaLocation=\"http://www.netex.org.uk/netex ../../../xsd/NeTEx_publication.xsd\">\n        <dataObjects>\n          <ServiceCalendarFrame version=\"any\">\n            <Name>Calender Example for Netex   GD</Name>\n            <ServiceCalendar version=\"any\" id=\"ust:FullYear2026\">\n              <FromDate>2026-01-01</FromDate>\n              <ToDate>2026-12-31</ToDate>\n            </ServiceCalendar>\n          </ServiceCalendarFrame>\n          <ServiceCalendarFrame version=\"any\" id=\"LIO:ServiceCalendarFrame:0:LOC\">\n            <TypeOfFrameRef ref=\"FR:TypeOfFrame:NETEX_CALENDRIER:\"/>\n            <dayTypes>\n              <DayType version=\"any\" id=\"LIO:DayType:6e68183c42604e2d0f67\">\n                <ValidBetween>\n                  <FromDate>2025-11-03T00:00:00</FromDate>\n                  <ToDate>2025-11-15T00:00:00</ToDate>\n                </ValidBetween>\n                <Name>2025-07-25 → 11-15 (16 lun, 15 mar, 16 mer, 16 jeu, 16 ven, 16 sam)</Name>\n              </DayType>\n              <DayType version=\"any\" id=\"LIO:DayType:5d21656b7c1e4d2b0557\">\n                <ValidBetween>\n                  <FromDate>2025-11-03T00:00:00</FromDate>\n                  <ToDate>2025-11-28T00:00:00</ToDate>\n                </ValidBetween>\n                <Name>2025-07-25 → 11-28 (18 lun, 17 mar, 18 mer, 18 jeu, 18 ven)</Name>\n              </DayType>\n            </dayTypes>\n          </ServiceCalendarFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    data = extract(&ArchiveParser.read_all_service_calendars!/1, service_calendar_content)\n\n    assert [\n             %{\n               id: \"ust:FullYear2026\",\n               name: \"Calender Example for Netex   GD\",\n               start_date: Date.from_iso8601!(\"2026-01-01\"),\n               end_date: Date.from_iso8601!(\"2026-12-31\")\n             },\n             %{\n               id: \"LIO:DayType:6e68183c42604e2d0f67\",\n               name: \"2025-07-25 → 11-15 (16 lun, 15 mar, 16 mer, 16 jeu, 16 ven, 16 sam)\",\n               start_date: Date.from_iso8601!(\"2025-11-03\"),\n               end_date: Date.from_iso8601!(\"2025-11-15\")\n             },\n             %{\n               id: \"LIO:DayType:5d21656b7c1e4d2b0557\",\n               name: \"2025-07-25 → 11-28 (18 lun, 17 mar, 18 mer, 18 jeu, 18 ven)\",\n               start_date: Date.from_iso8601!(\"2025-11-03\"),\n               end_date: Date.from_iso8601!(\"2025-11-28\")\n             }\n           ] == data\n\n    empty_service_calendar_content = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" xmlns:siri=\"http://www.siri.org.uk/siri\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" version=\"1.0\" xsi:schemaLocation=\"http://www.netex.org.uk/netex ../../../xsd/NeTEx_publication.xsd\">\n        <dataObjects>\n          <ServiceCalendarFrame id=\"FR:1:ServiceCalendarFrame:j19\" version=\"any\">\n            <dayTypes>\n              <DayType id=\"FR:DayType:1:\" version=\"any\"/>\n              <DayType id=\"FR:DayType:2:\" version=\"any\"/>\n              <DayType id=\"FR:DayType:3:\" version=\"any\"/>\n            </dayTypes>\n          </ServiceCalendarFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    data = extract(&ArchiveParser.read_all_service_calendars!/1, empty_service_calendar_content)\n\n    assert [] == data\n  end\n\n  test \"extract validity dates from calendar\" do\n    calendar_content = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" xmlns:gis=\"http://www.opengis.net/gml/3.2\" xmlns:siri=\"http://www.siri.org.uk/siri\" version=\"1.1:FR-NETEX_CALENDRIER-2.2\">\n        <PublicationTimestamp>2025-07-29T09:34:55Z</PublicationTimestamp>\n        <ParticipantRef>DIGO</ParticipantRef>\n        <dataObjects>\n          <GeneralFrame version=\"any\" id=\"DIGO:GeneralFrame:NETEX_CALENDRIER-20250729093455Z:LOC\">\n            <ValidBetween>\n              <FromDate>2025-07-05T00:00:00</FromDate>\n              <ToDate>2025-08-31T23:59:59</ToDate>\n            </ValidBetween>\n            <TypeOfFrameRef ref=\"FR:TypeOfFrame:NETEX_CALENDRIER:\">version=\"1.1:FR-NETEX_CALENDRIER-2.2\"</TypeOfFrameRef>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    data = extract(&ArchiveParser.read_all_calendars!/1, calendar_content)\n\n    assert [\n             %{\n               id: \"DIGO:GeneralFrame:NETEX_CALENDRIER-20250729093455Z:LOC\",\n               start_date: Date.from_iso8601!(\"2025-07-05\"),\n               end_date: Date.from_iso8601!(\"2025-08-31\")\n             }\n           ] == data\n\n    calendar_content = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" xmlns:gis=\"http://www.opengis.net/gml/3.2\" xmlns:siri=\"http://www.siri.org.uk/siri\" version=\"1.1:FR-NETEX_CALENDRIER-2.2\">\n        <PublicationTimestamp>2025-07-29T09:34:55Z</PublicationTimestamp>\n        <ParticipantRef>DIGO</ParticipantRef>\n        <dataObjects>\n          <GeneralFrame version=\"any\" id=\"DIGO:GeneralFrame:NETEX_CALENDRIER-20250729093455Z:LOC\">\n            <ValidBetween>\n              <FromDate>2025-07-05T00:00:00</FromDate>\n              <ToDate>2025-08-31T23:59:59</ToDate>\n            </ValidBetween>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    data = extract(&ArchiveParser.read_all_calendars!/1, calendar_content)\n\n    assert [\n             %{\n               id: \"DIGO:GeneralFrame:NETEX_CALENDRIER-20250729093455Z:LOC\",\n               start_date: Date.from_iso8601!(\"2025-07-05\"),\n               end_date: Date.from_iso8601!(\"2025-08-31\")\n             }\n           ] == data\n\n    idfm_calendar_content = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" version=\"1.04:FR1-NETEX-1.6-1.8\">\n        <PublicationTimestamp>2026-02-02T15:45:04Z</PublicationTimestamp>\n        <ParticipantRef>FR1_OFFRE</ParticipantRef>\n        <dataObjects>\n          <GeneralFrame id=\"FR1:GeneralFrame:NETEX_CALENDRIER-20260202T154504Z:LOC\" version=\"1.8\" dataSourceRef=\"FR1-OFFRE_AUTO\">\n            <ValidBetween>\n              <FromDate>2026-02-02T00:00:00+00:00</FromDate>\n              <ToDate>2026-03-03T00:00:00+00:00</ToDate>\n            </ValidBetween>\n            <TypeOfFrameRef ref=\"FR1:TypeOfFrame:NETEX_CALENDRIER:\"/>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    data = extract(&ArchiveParser.read_all_calendars!/1, idfm_calendar_content)\n\n    assert [\n             %{\n               id: \"FR1:GeneralFrame:NETEX_CALENDRIER-20260202T154504Z:LOC\",\n               start_date: Date.from_iso8601!(\"2026-02-02\"),\n               end_date: Date.from_iso8601!(\"2026-03-03\")\n             }\n           ] == data\n  end\n\n  test \"extract validity dates from opertating periods\" do\n    operating_periods = \"\"\"\n      <GeneralFrame id=\"FR:GeneralFrame:NETEX_CALENDRIER:LOC\" version=\"1.09:FR-NETEX-2.1-1.0\">\n        <TypeOfFrameRef ref=\"FR:TypeOfFrame:NETEX_CALENDRIER:\"/>\n        <members>\n          <UicOperatingPeriod id=\"chouette:OperatingPeriod:7b424a03-552c-4833-9a91-e6b2e58c2c26-54:LOC\" version=\"any\">\n            <FromDate>2025-12-22T00:00:00</FromDate>\n            <ToDate>2026-12-22T00:00:00</ToDate>\n          </UicOperatingPeriod>\n        </members>\n      </GeneralFrame>\n    \"\"\"\n\n    data = extract(&ArchiveParser.read_all_calendars!/1, operating_periods)\n\n    assert [\n             %{\n               id: \"chouette:OperatingPeriod:7b424a03-552c-4833-9a91-e6b2e58c2c26-54:LOC\",\n               start_date: Date.from_iso8601!(\"2025-12-22\"),\n               end_date: Date.from_iso8601!(\"2026-12-22\")\n             }\n           ] == data\n  end\n\n  test \"extract TypeOfFrames\" do\n    general_frame = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" version=\"1.04:FR1-NETEX-1.6-1.8\">\n        <PublicationTimestamp>2026-02-02T15:45:04Z</PublicationTimestamp>\n        <ParticipantRef>FR1_OFFRE</ParticipantRef>\n        <dataObjects>\n          <GeneralFrame id=\"FR:GeneralFrame:NETEX_CALENDRIER:LOC\" version=\"1.09:FR-NETEX-2.1-1.0\">\n            <TypeOfFrameRef ref=\"FR:TypeOfFrame:NETEX_CALENDRIER:\"/>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    assert [\"NETEX_CALENDRIER\"] == extract(&ArchiveParser.read_all_types_of_frames!/1, general_frame)\n\n    composite_frames = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" version=\"1.04:FR1-NETEX-1.6-1.8\">\n        <PublicationTimestamp>2026-02-02T15:45:04Z</PublicationTimestamp>\n        <ParticipantRef>FR1_OFFRE</ParticipantRef>\n        <dataObjects>\n          <CompositeFrame id=\"FR1:CompositeFrame:NETEX_OFFRE_LIGNE-20260202T154504Z:LOC\" version=\"1.8\" dataSourceRef=\"FR1-OFFRE_AUTO\">\n            <Name>6201</Name>\n            <TypeOfFrameRef ref=\"FR1:TypeOfFrame:NETEX_N_LIGNE:\"/>\n            <frames>\n              <GeneralFrame id=\"FR1:GeneralFrame:NETEX_STRUCTURE-20260202T154504Z:LOC\" version=\"1.8\" dataSourceRef=\"FR1-OFFRE_AUTO\">\n                <TypeOfFrameRef ref=\"FR1:TypeOfFrame:NETEX_LIGNE:\"/>\n              </GeneralFrame>\n            </frames>\n          </CompositeFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    assert [\"NETEX_N_LIGNE\", \"NETEX_LIGNE\"] == extract(&ArchiveParser.read_all_types_of_frames!/1, composite_frames)\n\n    non_standard_types = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" version=\"1.04:FR1-NETEX-1.6-1.8\">\n        <PublicationTimestamp>2026-02-02T15:45:04Z</PublicationTimestamp>\n        <ParticipantRef>FR1_OFFRE</ParticipantRef>\n        <dataObjects>\n          <CompositeFrame id=\"FR1:CompositeFrame:NETEX_OFFRE_LIGNE-20260202T154504Z:LOC\" version=\"1.8\" dataSourceRef=\"FR1-OFFRE_AUTO\">\n            <Name>6201</Name>\n            <TypeOfFrameRef ref=\"FR1:TypeOfFrame:NETEX_OFFRE_LIGNE:\"/>\n            <frames>\n              <GeneralFrame id=\"FR1:GeneralFrame:NETEX_STRUCTURE-20260202T154504Z:LOC\" version=\"1.8\" dataSourceRef=\"FR1-OFFRE_AUTO\">\n                <TypeOfFrameRef ref=\"FR1:TypeOfFrame:NETEX_STRUCTURE:\"/>\n              </GeneralFrame>\n            </frames>\n          </CompositeFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    types = extract(&ArchiveParser.read_all_types_of_frames!/1, non_standard_types)\n\n    assert [] == types\n  end\n\n  test \"extract Network(s)\" do\n    general_frame = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" version=\"1.04:FR1-NETEX-1.6-1.8\">\n        <PublicationTimestamp>2026-02-02T15:45:04Z</PublicationTimestamp>\n        <ParticipantRef>FR1_OFFRE</ParticipantRef>\n        <dataObjects>\n          <GeneralFrame id=\"FR:GeneralFrame:NETEX_COMMUN:LOC\" version=\"1.09:FR-NETEX-2.1-1.0\">\n            <members>\n              <Network>\n                <Name>R'bus (Rochefort Océan)</Name>\n                <members>\n                  <LineRef ref=\"CA_ROCHEFORT_OCEAN:Line:A:LOC\"/>\n                </members>\n              </Network>\n              <Line id=\"CA_ROCHEFORT_OCEAN:Line:A:LOC\" version=\"any\">\n                <Name>Saint-Agnant Les Cordries / Echillais / Rochefort Roy Bry / Tonnay-Charente Les Fontenelles</Name>\n              </Line>\n            </members>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    assert [\"R'bus (Rochefort Océan)\"] == extract(&ArchiveParser.read_all_description!/1, general_frame).networks\n\n    multiple_networks = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" version=\"1.04:FR1-NETEX-1.6-1.8\">\n        <PublicationTimestamp>2026-02-02T15:45:04Z</PublicationTimestamp>\n        <ParticipantRef>FR1_OFFRE</ParticipantRef>\n        <dataObjects>\n          <GeneralFrame id=\"FR:GeneralFrame:NETEX_COMMUN:LOC\" version=\"1.09:FR-NETEX-2.1-1.0\">\n            <members>\n              <Network>\n                <Name>Réseau Urbain</Name>\n              </Network>\n              <Network>\n                <Name>Réseau Régional</Name>\n              </Network>\n            </members>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    assert [\"Réseau Urbain\", \"Réseau Régional\"] ==\n             extract(&ArchiveParser.read_all_description!/1, multiple_networks).networks\n  end\n\n  test \"extract TransportMode(s)\" do\n    general_frame = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" version=\"1.04:FR1-NETEX-1.6-1.8\">\n        <PublicationTimestamp>2026-02-02T15:45:04Z</PublicationTimestamp>\n        <ParticipantRef>FR1_OFFRE</ParticipantRef>\n        <dataObjects>\n          <GeneralFrame id=\"FR:GeneralFrame:NETEX_COMMUN:LOC\" version=\"1.09:FR-NETEX-2.1-1.0\">\n            <members>\n              <Network>\n                <Name>Réseau Urbain</Name>\n              </Network>\n              <Line>\n                <Name>Alberville - Besançon</Name>\n                <TransportMode>bus</TransportMode>\n              </Line>\n              <Line>\n                <Name>Cherbourg - Deauville</Name>\n                <TransportMode>ferry</TransportMode>\n              </Line>\n              <Line>\n                <Name>Écully - Francheville</Name>\n                <TransportMode>bus</TransportMode>\n              </Line>\n            </members>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    assert [\"bus\", \"ferry\", \"bus\"] == extract(&ArchiveParser.read_all_description!/1, general_frame).transport_modes\n  end\n\n  test \"extract statistics\" do\n    general_frame = \"\"\"\n      <GeneralFrame>\n        <members>\n          <Line id=\"CA_ROCHEFORT_OCEAN:Line:A:LOC\" version=\"any\">\n          </Line>\n          <Quay id=\"FR:Quay:Quay1:\" version=\"any\">\n          </Quay>\n          <Quay id=\"FR:Quay:Quay2:\" version=\"any\">\n          </Quay>\n          <Quay id=\"FR:Quay:Quay3:\" version=\"any\">\n          </Quay>\n          <StopPlace id=\"FR:StopPlace:StopPlace1:\" version=\"any\">\n          </StopPlace>\n          <StopPlace id=\"FR:StopPlace:StopPlace2:\" version=\"any\">\n          </StopPlace>\n        </members>\n      </GeneralFrame>\n    \"\"\"\n\n    statistics = extract(&ArchiveParser.read_all_description!/1, general_frame)\n\n    assert 1 == statistics.lines\n    assert 3 == statistics.quays\n    assert 2 == statistics.stop_places\n\n    assert statistics.features.networks\n    assert statistics.features.stops\n\n    refute statistics.features.timetables\n    refute statistics.features.fares\n    refute statistics.features.parkings\n    refute statistics.features.accessibility\n  end\n\n  defp extract(extractor, xml) do\n    tmp_file = create_tmp_netex([{\"directory/\", \"\"}, {\"directory/file.xml\", xml}])\n\n    try do\n      [{\"directory/\", _}, {\"directory/file.xml\", types}] = extractor.(tmp_file)\n\n      types\n    after\n      File.rm(tmp_file)\n    end\n  end\n\n  defp create_tmp_netex(files) do\n    tmp_file = System.tmp_dir!() |> Path.join(\"temp-netex-#{Ecto.UUID.generate()}.zip\")\n    ZipCreator.create!(tmp_file, files)\n    tmp_file\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/netex/chouette_valid_ruleset_generator_test.exs",
    "content": "defmodule Transport.NeTEx.ChouetteValidRulesetGeneratorTest do\n  use ExUnit.Case, async: true\n  doctest Transport.NeTEx.ChouetteValidRulesetGenerator, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/netex/stop_places_streaming_parser_test.exs",
    "content": "defmodule Transport.NeTEx.StopPlacesStreamingParserTest do\n  use ExUnit.Case, async: true\n\n  alias Transport.NeTEx.StopPlacesStreamingParser\n\n  def get_stop_places(xml) do\n    state = %{\n      current_stop_place: nil,\n      capture: false,\n      current_tree: [],\n      stop_places: [],\n      callback: fn state ->\n        state |> update_in([:stop_places], &(&1 ++ [state.current_stop_place]))\n      end\n    }\n\n    {:ok, final_state} = Saxy.parse_string(xml, StopPlacesStreamingParser, state)\n    final_state.stop_places\n  end\n\n  test \"parses a simple NeTEx StopPlace with Name and Coordinates\" do\n    xml = \"\"\"\n    <StopPlace id=\"FR:HELLO:POYARTIN:001\">\n      <Name>Poyartin</Name>\n      <Centroid>\n        <Location>\n          <Latitude>43.6690</Latitude>\n          <Longitude>-0.9190</Longitude>\n        </Location>\n      </Centroid>\n    </StopPlace>\n    \"\"\"\n\n    assert get_stop_places(xml) == [\n             %{\n               id: \"FR:HELLO:POYARTIN:001\",\n               name: \"Poyartin\",\n               latitude: 43.6690,\n               longitude: -0.9190\n             }\n           ]\n  end\n\n  test \"parses multiple stop places, including ones with limited data\" do\n    xml = \"\"\"\n    <SomeParentNode>\n      <StopPlace id=\"FR:HELLO:AUBIERE:001\">\n        <Name>Aubière</Name>\n      </StopPlace>\n      <StopPlace id=\"FR:HELLO:AUBIERE:001:A\">\n        <Name>Aubière (A)</Name>\n        <ParentSiteRef ref=\"FR:HELLO:AUBIERE:001\"/>\n        <Centroid>\n          <Location>\n            <Latitude>45.7594</Latitude>\n            <Longitude>3.1130</Longitude>\n          </Location>\n        </Centroid>\n      </StopPlace>\n    </SomeParentNode>\n    \"\"\"\n\n    assert get_stop_places(xml) == [\n             %{\n               id: \"FR:HELLO:AUBIERE:001\",\n               name: \"Aubière\"\n             },\n             %{\n               id: \"FR:HELLO:AUBIERE:001:A\",\n               name: \"Aubière (A)\",\n               latitude: 45.7594,\n               longitude: 3.1130\n             }\n           ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/netex/to_geojson/coordinates_test.exs",
    "content": "defmodule Transport.NeTEx.ToGeoJSON.CoordinatesTest do\n  use ExUnit.Case, async: true\n\n  alias Transport.NeTEx.ToGeoJSON.Coordinates\n\n  describe \"parse_gml_pos_list/1\" do\n    test \"parses a simple posList with two coordinates\" do\n      assert {:ok, [[2.3522, 48.8566], [2.36, 48.86]]} ==\n               Coordinates.parse_gml_pos_list(\"48.8566 2.3522 48.86 2.36\")\n    end\n\n    test \"parses a posList with multiple coordinates\" do\n      pos_list = \"48.85 2.35 48.86 2.36 48.87 2.37\"\n\n      assert {:ok, [[2.35, 48.85], [2.36, 48.86], [2.37, 48.87]]} ==\n               Coordinates.parse_gml_pos_list(pos_list)\n    end\n\n    test \"handles negative coordinates\" do\n      assert {:ok, [[-0.919, 43.669]]} ==\n               Coordinates.parse_gml_pos_list(\"43.669 -0.919\")\n    end\n\n    test \"handles whitespace variations\" do\n      assert {:ok, [[2.35, 48.85], [2.36, 48.86]]} ==\n               Coordinates.parse_gml_pos_list(\"  48.85   2.35   48.86  2.36  \")\n    end\n\n    test \"handles newlines and tabs\" do\n      pos_list = \"48.85\\t2.35\\n48.86\\t2.36\"\n\n      assert {:ok, [[2.35, 48.85], [2.36, 48.86]]} ==\n               Coordinates.parse_gml_pos_list(pos_list)\n    end\n\n    test \"returns empty list for empty string\" do\n      assert {:ok, []} == Coordinates.parse_gml_pos_list(\"\")\n    end\n\n    test \"returns empty list for whitespace-only string\" do\n      assert {:ok, []} == Coordinates.parse_gml_pos_list(\"   \")\n    end\n\n    test \"returns error for odd number of values\" do\n      assert {:error, \"Odd number of coordinate values\"} ==\n               Coordinates.parse_gml_pos_list(\"48.85 2.35 48.86\")\n    end\n\n    test \"returns error for invalid numeric values\" do\n      assert {:error, \"Invalid coordinate value: abc\"} ==\n               Coordinates.parse_gml_pos_list(\"48.85 abc\")\n    end\n  end\n\n  describe \"parse_gml_coordinates/1\" do\n    test \"parses a simple coordinates string\" do\n      assert {:ok, [[2.3522, 48.8566], [2.36, 48.86]]} ==\n               Coordinates.parse_gml_coordinates(\"2.3522,48.8566 2.36,48.86\")\n    end\n\n    test \"parses multiple coordinate pairs\" do\n      coords = \"2.35,48.85 2.36,48.86 2.37,48.87\"\n\n      assert {:ok, [[2.35, 48.85], [2.36, 48.86], [2.37, 48.87]]} ==\n               Coordinates.parse_gml_coordinates(coords)\n    end\n\n    test \"handles negative coordinates\" do\n      assert {:ok, [[-0.919, 43.669]]} ==\n               Coordinates.parse_gml_coordinates(\"-0.919,43.669\")\n    end\n\n    test \"handles whitespace variations\" do\n      assert {:ok, [[2.35, 48.85], [2.36, 48.86]]} ==\n               Coordinates.parse_gml_coordinates(\"  2.35,48.85   2.36,48.86  \")\n    end\n\n    test \"returns empty list for empty string\" do\n      assert {:ok, []} == Coordinates.parse_gml_coordinates(\"\")\n    end\n\n    test \"returns error for invalid pair format\" do\n      assert {:error, \"Invalid coordinate pair: 2.35\"} ==\n               Coordinates.parse_gml_coordinates(\"2.35\")\n    end\n\n    test \"returns error for invalid numeric values\" do\n      assert {:error, \"Invalid coordinate value: abc\"} ==\n               Coordinates.parse_gml_coordinates(\"abc,48.85\")\n    end\n  end\n\n  describe \"parse_latitude/1\" do\n    test \"parses a valid latitude\" do\n      assert {:ok, 48.8566} == Coordinates.parse_latitude(\"48.8566\")\n    end\n\n    test \"parses a negative latitude\" do\n      assert {:ok, -33.8688} == Coordinates.parse_latitude(\"-33.8688\")\n    end\n\n    test \"handles whitespace\" do\n      assert {:ok, 48.8566} == Coordinates.parse_latitude(\"  48.8566  \")\n    end\n\n    test \"returns error for invalid value\" do\n      assert {:error, \"Invalid coordinate value: invalid\"} ==\n               Coordinates.parse_latitude(\"invalid\")\n    end\n  end\n\n  describe \"parse_longitude/1\" do\n    test \"parses a valid longitude\" do\n      assert {:ok, 2.3522} == Coordinates.parse_longitude(\"2.3522\")\n    end\n\n    test \"parses a negative longitude\" do\n      assert {:ok, -0.919} == Coordinates.parse_longitude(\"-0.919\")\n    end\n\n    test \"handles whitespace\" do\n      assert {:ok, 2.3522} == Coordinates.parse_longitude(\"  2.3522  \")\n    end\n\n    test \"returns error for invalid value\" do\n      assert {:error, \"Invalid coordinate value: invalid\"} ==\n               Coordinates.parse_longitude(\"invalid\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/netex/to_geojson/geojson_builder_test.exs",
    "content": "defmodule Transport.NeTEx.ToGeoJSON.GeoJSONBuilderTest do\n  use ExUnit.Case, async: true\n\n  alias Transport.NeTEx.ToGeoJSON.GeoJSONBuilder\n\n  describe \"feature_collection/1\" do\n    test \"creates an empty FeatureCollection\" do\n      assert GeoJSONBuilder.feature_collection([]) == %{\n               \"type\" => \"FeatureCollection\",\n               \"features\" => []\n             }\n    end\n\n    test \"creates a FeatureCollection with features\" do\n      features = [\n        %{\"type\" => \"Feature\", \"geometry\" => %{}, \"properties\" => %{}}\n      ]\n\n      assert GeoJSONBuilder.feature_collection(features) == %{\n               \"type\" => \"FeatureCollection\",\n               \"features\" => features\n             }\n    end\n  end\n\n  describe \"point_feature/3\" do\n    test \"creates a Point feature with id\" do\n      result = GeoJSONBuilder.point_feature([2.3522, 48.8566], %{\"name\" => \"Paris\"}, \"stop_1\")\n\n      assert result == %{\n               \"type\" => \"Feature\",\n               \"id\" => \"stop_1\",\n               \"geometry\" => %{\n                 \"type\" => \"Point\",\n                 \"coordinates\" => [2.3522, 48.8566]\n               },\n               \"properties\" => %{\"name\" => \"Paris\"}\n             }\n    end\n\n    test \"creates a Point feature without id\" do\n      result = GeoJSONBuilder.point_feature([2.3522, 48.8566], %{\"name\" => \"Paris\"})\n\n      assert result == %{\n               \"type\" => \"Feature\",\n               \"geometry\" => %{\n                 \"type\" => \"Point\",\n                 \"coordinates\" => [2.3522, 48.8566]\n               },\n               \"properties\" => %{\"name\" => \"Paris\"}\n             }\n    end\n\n    test \"handles negative coordinates\" do\n      result = GeoJSONBuilder.point_feature([-0.919, 43.669], %{}, \"stop_1\")\n\n      assert result[\"geometry\"][\"coordinates\"] == [-0.919, 43.669]\n    end\n  end\n\n  describe \"line_string_feature/3\" do\n    test \"creates a LineString feature with id\" do\n      coords = [[2.35, 48.85], [2.36, 48.86], [2.37, 48.87]]\n\n      result =\n        GeoJSONBuilder.line_string_feature(coords, %{\"name\" => \"Route A\"}, \"link_1\")\n\n      assert result == %{\n               \"type\" => \"Feature\",\n               \"id\" => \"link_1\",\n               \"geometry\" => %{\n                 \"type\" => \"LineString\",\n                 \"coordinates\" => coords\n               },\n               \"properties\" => %{\"name\" => \"Route A\"}\n             }\n    end\n\n    test \"creates a LineString feature without id\" do\n      coords = [[2.35, 48.85], [2.36, 48.86]]\n      result = GeoJSONBuilder.line_string_feature(coords, %{})\n\n      refute Map.has_key?(result, \"id\")\n      assert result[\"geometry\"][\"type\"] == \"LineString\"\n    end\n  end\n\n  describe \"stop_to_feature/1\" do\n    test \"converts a complete stop to a Point feature\" do\n      stop = %{\n        id: \"FR:STOP:001\",\n        name: \"Gare Centrale\",\n        latitude: 48.8566,\n        longitude: 2.3522,\n        public_code: \"GC\",\n        type: :stop_place\n      }\n\n      result = GeoJSONBuilder.stop_to_feature(stop)\n\n      assert result == %{\n               \"type\" => \"Feature\",\n               \"id\" => \"FR:STOP:001\",\n               \"geometry\" => %{\n                 \"type\" => \"Point\",\n                 \"coordinates\" => [2.3522, 48.8566]\n               },\n               \"properties\" => %{\n                 \"netex_id\" => \"FR:STOP:001\",\n                 \"name\" => \"Gare Centrale\",\n                 \"public_code\" => \"GC\",\n                 \"type\" => :stop_place\n               }\n             }\n    end\n\n    test \"converts a minimal stop (only id and coordinates)\" do\n      stop = %{id: \"stop_1\", latitude: 45.0, longitude: 3.0}\n\n      result = GeoJSONBuilder.stop_to_feature(stop)\n\n      assert result[\"id\"] == \"stop_1\"\n      assert result[\"geometry\"][\"coordinates\"] == [3.0, 45.0]\n      assert result[\"properties\"] == %{\"netex_id\" => \"stop_1\"}\n    end\n\n    test \"returns nil for stop without latitude\" do\n      stop = %{id: \"stop_1\", longitude: 3.0}\n      assert GeoJSONBuilder.stop_to_feature(stop) == nil\n    end\n\n    test \"returns nil for stop without longitude\" do\n      stop = %{id: \"stop_1\", latitude: 45.0}\n      assert GeoJSONBuilder.stop_to_feature(stop) == nil\n    end\n\n    test \"returns nil for stop with nil coordinates\" do\n      stop = %{id: \"stop_1\", latitude: nil, longitude: nil}\n      assert GeoJSONBuilder.stop_to_feature(stop) == nil\n    end\n  end\n\n  describe \"service_link_to_feature/1\" do\n    test \"converts a complete service link to a LineString feature\" do\n      link = %{\n        id: \"FR:LINK:001\",\n        name: \"Route Express\",\n        from_point_ref: \"stop_1\",\n        to_point_ref: \"stop_2\",\n        coordinates: [[2.35, 48.85], [2.36, 48.86], [2.37, 48.87]]\n      }\n\n      result = GeoJSONBuilder.service_link_to_feature(link)\n\n      assert result == %{\n               \"type\" => \"Feature\",\n               \"id\" => \"FR:LINK:001\",\n               \"geometry\" => %{\n                 \"type\" => \"LineString\",\n                 \"coordinates\" => [[2.35, 48.85], [2.36, 48.86], [2.37, 48.87]]\n               },\n               \"properties\" => %{\n                 \"netex_id\" => \"FR:LINK:001\",\n                 \"name\" => \"Route Express\",\n                 \"from_point_ref\" => \"stop_1\",\n                 \"to_point_ref\" => \"stop_2\"\n               }\n             }\n    end\n\n    test \"converts a minimal service link\" do\n      link = %{\n        id: \"link_1\",\n        coordinates: [[2.35, 48.85], [2.36, 48.86]]\n      }\n\n      result = GeoJSONBuilder.service_link_to_feature(link)\n\n      assert result[\"id\"] == \"link_1\"\n      assert result[\"geometry\"][\"type\"] == \"LineString\"\n      assert result[\"properties\"] == %{\"netex_id\" => \"link_1\"}\n    end\n\n    test \"returns nil for link without coordinates\" do\n      link = %{id: \"link_1\", name: \"Route\"}\n      assert GeoJSONBuilder.service_link_to_feature(link) == nil\n    end\n\n    test \"returns nil for link with empty coordinates\" do\n      link = %{id: \"link_1\", coordinates: []}\n      assert GeoJSONBuilder.service_link_to_feature(link) == nil\n    end\n\n    test \"returns nil for link with single coordinate\" do\n      link = %{id: \"link_1\", coordinates: [[2.35, 48.85]]}\n      assert GeoJSONBuilder.service_link_to_feature(link) == nil\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/netex/to_geojson/parsers/quay_parser_test.exs",
    "content": "defmodule Transport.NeTEx.ToGeoJSON.QuayParserTest do\n  use ExUnit.Case, async: true\n\n  alias Transport.NeTEx.ToGeoJSON.QuayParser\n\n  describe \"parse/1\" do\n    test \"parses a simple Quay with all fields\" do\n      xml = \"\"\"\n      <Quay id=\"FR:QUAY:001\">\n        <Name>Quai A</Name>\n        <PublicCode>A</PublicCode>\n        <Centroid>\n          <Location>\n            <Latitude>48.8566</Latitude>\n            <Longitude>2.3522</Longitude>\n          </Location>\n        </Centroid>\n      </Quay>\n      \"\"\"\n\n      assert {:ok, [quay]} = QuayParser.parse(xml)\n\n      assert quay == %{\n               id: \"FR:QUAY:001\",\n               name: \"Quai A\",\n               public_code: \"A\",\n               latitude: 48.8566,\n               longitude: 2.3522,\n               type: :quay\n             }\n    end\n\n    test \"parses a Quay with minimal fields\" do\n      xml = \"\"\"\n      <Quay id=\"quay_1\">\n        <Name>Platform 1</Name>\n      </Quay>\n      \"\"\"\n\n      assert {:ok, [quay]} = QuayParser.parse(xml)\n\n      assert quay == %{\n               id: \"quay_1\",\n               name: \"Platform 1\",\n               type: :quay\n             }\n    end\n\n    test \"parses multiple Quays\" do\n      xml = \"\"\"\n      <root>\n        <Quay id=\"quay_1\">\n          <Name>Platform 1</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </Quay>\n        <Quay id=\"quay_2\">\n          <Name>Platform 2</Name>\n          <PublicCode>2</PublicCode>\n          <Centroid>\n            <Location>\n              <Latitude>48.86</Latitude>\n              <Longitude>2.36</Longitude>\n            </Location>\n          </Centroid>\n        </Quay>\n      </root>\n      \"\"\"\n\n      assert {:ok, quays} = QuayParser.parse(xml)\n      assert length(quays) == 2\n\n      [quay1, quay2] = quays\n      assert quay1.id == \"quay_1\"\n      assert quay1.name == \"Platform 1\"\n      assert quay1.latitude == 48.85\n      assert quay1.longitude == 2.35\n\n      assert quay2.id == \"quay_2\"\n      assert quay2.name == \"Platform 2\"\n      assert quay2.public_code == \"2\"\n    end\n\n    test \"handles negative coordinates\" do\n      xml = \"\"\"\n      <Quay id=\"quay_1\">\n        <Centroid>\n          <Location>\n            <Latitude>43.669</Latitude>\n            <Longitude>-0.919</Longitude>\n          </Location>\n        </Centroid>\n      </Quay>\n      \"\"\"\n\n      assert {:ok, [quay]} = QuayParser.parse(xml)\n      assert quay.latitude == 43.669\n      assert quay.longitude == -0.919\n    end\n\n    test \"ignores non-Quay elements\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop</Name>\n        </StopPlace>\n        <Quay id=\"quay_1\">\n          <Name>Platform</Name>\n        </Quay>\n      </root>\n      \"\"\"\n\n      assert {:ok, [quay]} = QuayParser.parse(xml)\n      assert quay.id == \"quay_1\"\n    end\n\n    test \"returns empty list for XML without Quays\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop</Name>\n        </StopPlace>\n      </root>\n      \"\"\"\n\n      assert {:ok, []} = QuayParser.parse(xml)\n    end\n\n    test \"handles deeply nested Quays\" do\n      xml = \"\"\"\n      <root>\n        <frame>\n          <members>\n            <StopPlace id=\"stop_1\">\n              <quays>\n                <Quay id=\"quay_1\">\n                  <Name>Nested Quay</Name>\n                </Quay>\n              </quays>\n            </StopPlace>\n          </members>\n        </frame>\n      </root>\n      \"\"\"\n\n      assert {:ok, [quay]} = QuayParser.parse(xml)\n      assert quay.id == \"quay_1\"\n      assert quay.name == \"Nested Quay\"\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/netex/to_geojson/parsers/service_link_parser_test.exs",
    "content": "defmodule Transport.NeTEx.ToGeoJSON.ServiceLinkParserTest do\n  use ExUnit.Case, async: true\n\n  alias Transport.NeTEx.ToGeoJSON.ServiceLinkParser\n\n  describe \"parse/1\" do\n    test \"parses a ServiceLink with all fields and posList coordinates\" do\n      xml = \"\"\"\n      <ServiceLink id=\"FR:LINK:001\">\n        <Name>Route Express</Name>\n        <FromPointRef ref=\"stop_1\"/>\n        <ToPointRef ref=\"stop_2\"/>\n        <projections>\n          <LinkProjection>\n            <gml:LineString>\n              <gml:posList>48.85 2.35 48.86 2.36 48.87 2.37</gml:posList>\n            </gml:LineString>\n          </LinkProjection>\n        </projections>\n      </ServiceLink>\n      \"\"\"\n\n      assert {:ok, [link]} = ServiceLinkParser.parse(xml)\n\n      assert link == %{\n               id: \"FR:LINK:001\",\n               name: \"Route Express\",\n               from_point_ref: \"stop_1\",\n               to_point_ref: \"stop_2\",\n               coordinates: [[2.35, 48.85], [2.36, 48.86], [2.37, 48.87]]\n             }\n    end\n\n    test \"parses a ServiceLink with gml:coordinates format\" do\n      xml = \"\"\"\n      <ServiceLink id=\"link_1\">\n        <Name>Route A</Name>\n        <gml:LineString>\n          <gml:coordinates>2.35,48.85 2.36,48.86</gml:coordinates>\n        </gml:LineString>\n      </ServiceLink>\n      \"\"\"\n\n      assert {:ok, [link]} = ServiceLinkParser.parse(xml)\n\n      assert link.id == \"link_1\"\n      assert link.name == \"Route A\"\n      assert link.coordinates == [[2.35, 48.85], [2.36, 48.86]]\n    end\n\n    test \"parses a ServiceLink with minimal fields\" do\n      xml = \"\"\"\n      <ServiceLink id=\"link_1\">\n        <Name>Simple Link</Name>\n      </ServiceLink>\n      \"\"\"\n\n      assert {:ok, [link]} = ServiceLinkParser.parse(xml)\n\n      assert link == %{\n               id: \"link_1\",\n               name: \"Simple Link\"\n             }\n    end\n\n    test \"parses multiple ServiceLinks\" do\n      xml = \"\"\"\n      <root>\n        <ServiceLink id=\"link_1\">\n          <Name>Route 1</Name>\n          <FromPointRef ref=\"a\"/>\n          <ToPointRef ref=\"b\"/>\n        </ServiceLink>\n        <ServiceLink id=\"link_2\">\n          <Name>Route 2</Name>\n          <FromPointRef ref=\"b\"/>\n          <ToPointRef ref=\"c\"/>\n        </ServiceLink>\n      </root>\n      \"\"\"\n\n      assert {:ok, links} = ServiceLinkParser.parse(xml)\n      assert length(links) == 2\n\n      [link1, link2] = links\n      assert link1.id == \"link_1\"\n      assert link1.from_point_ref == \"a\"\n      assert link1.to_point_ref == \"b\"\n\n      assert link2.id == \"link_2\"\n      assert link2.from_point_ref == \"b\"\n      assert link2.to_point_ref == \"c\"\n    end\n\n    test \"handles negative coordinates in posList\" do\n      xml = \"\"\"\n      <ServiceLink id=\"link_1\">\n        <gml:LineString>\n          <gml:posList>43.669 -0.919 43.670 -0.920</gml:posList>\n        </gml:LineString>\n      </ServiceLink>\n      \"\"\"\n\n      assert {:ok, [link]} = ServiceLinkParser.parse(xml)\n      assert link.coordinates == [[-0.919, 43.669], [-0.92, 43.67]]\n    end\n\n    test \"handles whitespace in posList\" do\n      xml = \"\"\"\n      <ServiceLink id=\"link_1\">\n        <gml:LineString>\n          <gml:posList>\n            48.85    2.35\n            48.86    2.36\n          </gml:posList>\n        </gml:LineString>\n      </ServiceLink>\n      \"\"\"\n\n      assert {:ok, [link]} = ServiceLinkParser.parse(xml)\n      assert link.coordinates == [[2.35, 48.85], [2.36, 48.86]]\n    end\n\n    test \"ignores non-ServiceLink elements\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop</Name>\n        </StopPlace>\n        <ServiceLink id=\"link_1\">\n          <Name>Link</Name>\n        </ServiceLink>\n      </root>\n      \"\"\"\n\n      assert {:ok, [link]} = ServiceLinkParser.parse(xml)\n      assert link.id == \"link_1\"\n    end\n\n    test \"returns empty list for XML without ServiceLinks\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop</Name>\n        </StopPlace>\n      </root>\n      \"\"\"\n\n      assert {:ok, []} = ServiceLinkParser.parse(xml)\n    end\n\n    test \"does not include coordinates if less than 2 points\" do\n      xml = \"\"\"\n      <ServiceLink id=\"link_1\">\n        <gml:LineString>\n          <gml:posList>48.85 2.35</gml:posList>\n        </gml:LineString>\n      </ServiceLink>\n      \"\"\"\n\n      assert {:ok, [link]} = ServiceLinkParser.parse(xml)\n      refute Map.has_key?(link, :coordinates)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/netex/to_geojson/to_geojson_test.exs",
    "content": "defmodule Transport.NeTEx.ToGeoJSONTest do\n  use ExUnit.Case, async: true\n\n  alias Transport.NeTEx.ToGeoJSON\n\n  describe \"convert_xml/1\" do\n    test \"converts StopPlaces to Point features\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Gare Centrale</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.8566</Latitude>\n              <Longitude>2.3522</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n      </root>\n      \"\"\"\n\n      assert {:ok, geojson} = ToGeoJSON.convert_xml(xml)\n\n      assert geojson[\"type\"] == \"FeatureCollection\"\n      assert length(geojson[\"features\"]) == 1\n\n      [feature] = geojson[\"features\"]\n      assert feature[\"type\"] == \"Feature\"\n      assert feature[\"id\"] == \"stop_1\"\n      assert feature[\"geometry\"][\"type\"] == \"Point\"\n      assert feature[\"geometry\"][\"coordinates\"] == [2.3522, 48.8566]\n      assert feature[\"properties\"][\"name\"] == \"Gare Centrale\"\n      assert feature[\"properties\"][\"type\"] == :stop_place\n    end\n\n    test \"converts Quays to Point features\" do\n      xml = \"\"\"\n      <root>\n        <Quay id=\"quay_1\">\n          <Name>Platform 1</Name>\n          <PublicCode>1</PublicCode>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </Quay>\n      </root>\n      \"\"\"\n\n      assert {:ok, geojson} = ToGeoJSON.convert_xml(xml)\n\n      assert length(geojson[\"features\"]) == 1\n\n      [feature] = geojson[\"features\"]\n      assert feature[\"id\"] == \"quay_1\"\n      assert feature[\"geometry\"][\"type\"] == \"Point\"\n      assert feature[\"properties\"][\"name\"] == \"Platform 1\"\n      assert feature[\"properties\"][\"public_code\"] == \"1\"\n      assert feature[\"properties\"][\"type\"] == :quay\n    end\n\n    test \"converts ServiceLinks to LineString features\" do\n      xml = \"\"\"\n      <root>\n        <ServiceLink id=\"link_1\">\n          <Name>Route A</Name>\n          <FromPointRef ref=\"stop_1\"/>\n          <ToPointRef ref=\"stop_2\"/>\n          <gml:LineString>\n            <gml:posList>48.85 2.35 48.86 2.36 48.87 2.37</gml:posList>\n          </gml:LineString>\n        </ServiceLink>\n      </root>\n      \"\"\"\n\n      assert {:ok, geojson} = ToGeoJSON.convert_xml(xml)\n\n      assert length(geojson[\"features\"]) == 1\n\n      [feature] = geojson[\"features\"]\n      assert feature[\"id\"] == \"link_1\"\n      assert feature[\"geometry\"][\"type\"] == \"LineString\"\n      assert feature[\"geometry\"][\"coordinates\"] == [[2.35, 48.85], [2.36, 48.86], [2.37, 48.87]]\n      assert feature[\"properties\"][\"name\"] == \"Route A\"\n      assert feature[\"properties\"][\"from_point_ref\"] == \"stop_1\"\n      assert feature[\"properties\"][\"to_point_ref\"] == \"stop_2\"\n    end\n\n    test \"combines all element types\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop 1</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n        <Quay id=\"quay_1\">\n          <Name>Quay 1</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.86</Latitude>\n              <Longitude>2.36</Longitude>\n            </Location>\n          </Centroid>\n        </Quay>\n        <ServiceLink id=\"link_1\">\n          <Name>Link 1</Name>\n          <gml:LineString>\n            <gml:posList>48.85 2.35 48.86 2.36</gml:posList>\n          </gml:LineString>\n        </ServiceLink>\n      </root>\n      \"\"\"\n\n      assert {:ok, geojson} = ToGeoJSON.convert_xml(xml)\n\n      assert length(geojson[\"features\"]) == 3\n\n      types = Enum.map(geojson[\"features\"], & &1[\"geometry\"][\"type\"])\n      assert \"Point\" in types\n      assert \"LineString\" in types\n    end\n\n    test \"filters by types option - stop_places only\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n        <Quay id=\"quay_1\">\n          <Name>Quay</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.86</Latitude>\n              <Longitude>2.36</Longitude>\n            </Location>\n          </Centroid>\n        </Quay>\n      </root>\n      \"\"\"\n\n      assert {:ok, geojson} = ToGeoJSON.convert_xml(xml, types: [:stop_places])\n\n      assert length(geojson[\"features\"]) == 1\n      assert hd(geojson[\"features\"])[\"id\"] == \"stop_1\"\n    end\n\n    test \"filters by types option - quays only\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n        <Quay id=\"quay_1\">\n          <Name>Quay</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.86</Latitude>\n              <Longitude>2.36</Longitude>\n            </Location>\n          </Centroid>\n        </Quay>\n      </root>\n      \"\"\"\n\n      assert {:ok, geojson} = ToGeoJSON.convert_xml(xml, types: [:quays])\n\n      assert length(geojson[\"features\"]) == 1\n      assert hd(geojson[\"features\"])[\"id\"] == \"quay_1\"\n    end\n\n    test \"filters by types option - multiple types\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n        <Quay id=\"quay_1\">\n          <Name>Quay</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.86</Latitude>\n              <Longitude>2.36</Longitude>\n            </Location>\n          </Centroid>\n        </Quay>\n        <ServiceLink id=\"link_1\">\n          <Name>Link</Name>\n          <gml:LineString>\n            <gml:posList>48.85 2.35 48.86 2.36</gml:posList>\n          </gml:LineString>\n        </ServiceLink>\n      </root>\n      \"\"\"\n\n      assert {:ok, geojson} = ToGeoJSON.convert_xml(xml, types: [:stop_places, :quays])\n\n      assert length(geojson[\"features\"]) == 2\n\n      ids = Enum.map(geojson[\"features\"], & &1[\"id\"])\n      assert \"stop_1\" in ids\n      assert \"quay_1\" in ids\n      refute \"link_1\" in ids\n    end\n\n    test \"skips elements without coordinates\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop without coords</Name>\n        </StopPlace>\n        <StopPlace id=\"stop_2\">\n          <Name>Stop with coords</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n      </root>\n      \"\"\"\n\n      assert {:ok, geojson} = ToGeoJSON.convert_xml(xml)\n\n      assert length(geojson[\"features\"]) == 1\n      assert hd(geojson[\"features\"])[\"id\"] == \"stop_2\"\n    end\n\n    test \"returns empty FeatureCollection for XML without supported elements\" do\n      xml = \"<root><SomeOtherElement/></root>\"\n\n      assert {:ok, geojson} = ToGeoJSON.convert_xml(xml)\n\n      assert geojson == %{\n               \"type\" => \"FeatureCollection\",\n               \"features\" => []\n             }\n    end\n  end\n\n  describe \"convert_archive/1\" do\n    test \"converts a ZIP archive with multiple XML files\" do\n      xml1 = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop 1</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n      </root>\n      \"\"\"\n\n      xml2 = \"\"\"\n      <root>\n        <Quay id=\"quay_1\">\n          <Name>Quay 1</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.86</Latitude>\n              <Longitude>2.36</Longitude>\n            </Location>\n          </Centroid>\n        </Quay>\n      </root>\n      \"\"\"\n\n      ZipCreator.with_tmp_zip([{\"stops.xml\", xml1}, {\"quays.xml\", xml2}], fn tmp_file ->\n        assert {:ok, geojson} = ToGeoJSON.convert_archive(tmp_file)\n\n        assert geojson[\"type\"] == \"FeatureCollection\"\n        assert length(geojson[\"features\"]) == 2\n\n        ids = Enum.map(geojson[\"features\"], & &1[\"id\"])\n        assert \"stop_1\" in ids\n        assert \"quay_1\" in ids\n      end)\n    end\n\n    test \"filters by types option\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop 1</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n        <Quay id=\"quay_1\">\n          <Name>Quay 1</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.86</Latitude>\n              <Longitude>2.36</Longitude>\n            </Location>\n          </Centroid>\n        </Quay>\n      </root>\n      \"\"\"\n\n      ZipCreator.with_tmp_zip([{\"data.xml\", xml}], fn tmp_file ->\n        assert {:ok, geojson} = ToGeoJSON.convert_archive(tmp_file, types: [:quays])\n\n        assert length(geojson[\"features\"]) == 1\n        assert hd(geojson[\"features\"])[\"id\"] == \"quay_1\"\n      end)\n    end\n\n    test \"skips non-XML files\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop 1</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n      </root>\n      \"\"\"\n\n      ZipCreator.with_tmp_zip([{\"data.xml\", xml}, {\"readme.txt\", \"Some text\"}], fn tmp_file ->\n        assert {:ok, geojson} = ToGeoJSON.convert_archive(tmp_file)\n\n        assert length(geojson[\"features\"]) == 1\n      end)\n    end\n\n    test \"skips directories\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop 1</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n      </root>\n      \"\"\"\n\n      ZipCreator.with_tmp_zip([{\"subdir/data.xml\", xml}], fn tmp_file ->\n        assert {:ok, geojson} = ToGeoJSON.convert_archive(tmp_file)\n\n        # Should still find the XML in the subdirectory\n        assert length(geojson[\"features\"]) == 1\n      end)\n    end\n  end\n\n  describe \"Transport.NeTEx.ArchiveParser.to_geojson/1 facade\" do\n    test \"delegates to convert_archive\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop 1</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n      </root>\n      \"\"\"\n\n      ZipCreator.with_tmp_zip([{\"data.xml\", xml}], fn tmp_file ->\n        assert {:ok, geojson} = Transport.NeTEx.ArchiveParser.to_geojson(tmp_file)\n\n        assert geojson[\"type\"] == \"FeatureCollection\"\n        assert length(geojson[\"features\"]) == 1\n      end)\n    end\n\n    test \"accepts types option\" do\n      xml = \"\"\"\n      <root>\n        <StopPlace id=\"stop_1\">\n          <Name>Stop</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.85</Latitude>\n              <Longitude>2.35</Longitude>\n            </Location>\n          </Centroid>\n        </StopPlace>\n        <Quay id=\"quay_1\">\n          <Name>Quay</Name>\n          <Centroid>\n            <Location>\n              <Latitude>48.86</Latitude>\n              <Longitude>2.36</Longitude>\n            </Location>\n          </Centroid>\n        </Quay>\n      </root>\n      \"\"\"\n\n      ZipCreator.with_tmp_zip([{\"data.xml\", xml}], fn tmp_file ->\n        assert {:ok, geojson} = Transport.NeTEx.ArchiveParser.to_geojson(tmp_file, types: [:stop_places])\n\n        assert length(geojson[\"features\"]) == 1\n        assert hd(geojson[\"features\"])[\"id\"] == \"stop_1\"\n      end)\n    end\n\n    test \"empty archive\" do\n      ZipCreator.with_tmp_zip([], fn tmp_file ->\n        assert {:ok, geojson} = Transport.NeTEx.ArchiveParser.to_geojson(tmp_file, types: [:stop_places])\n\n        assert geojson == %{\"features\" => [], \"type\" => \"FeatureCollection\"}\n      end)\n    end\n\n    test \"bad NeTEx\" do\n      xml = \"\"\"\n      not an XML\n      \"\"\"\n\n      ZipCreator.with_tmp_zip([{\"data.xml\", xml}], fn tmp_file ->\n        assert {:ok, geojson} = Transport.NeTEx.ArchiveParser.to_geojson(tmp_file, types: [:stop_places])\n\n        assert geojson == %{\"features\" => [], \"type\" => \"FeatureCollection\"}\n      end)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/no_css_inline_style_test.exs",
    "content": "defmodule NoCSSInlineStyleTest do\n  @moduledoc \"\"\"\n  Check that we do not use CSS styles inline\n  \"\"\"\n  use ExUnit.Case, async: true\n\n  test \"Do not use inline CSS styles, except for emails\" do\n    heex_files = \"../../apps/**/*.heex\" |> Path.wildcard()\n    js_files = \"../../apps/transport/client/javascripts/*.js\" |> Path.wildcard()\n\n    files =\n      (heex_files ++ js_files)\n      |> Enum.reject(&ignore_filepath?/1)\n      |> Enum.filter(&potential_css_inline?/1)\n      |> Enum.map(&Path.relative_to(&1, \"../..\"))\n\n    assert files == []\n  end\n\n  def ignore_filepath?(filepath) do\n    String.contains?(filepath, [\n      \"apps/transport/lib/transport_web/templates/email/\",\n      \"apps/transport/lib/transport_web/templates/layout/email.html.heex\"\n    ])\n  end\n\n  def potential_css_inline?(file) do\n    file |> File.read!() |> String.contains?(\"style=\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/registry/gtfs_test.exs",
    "content": "defmodule Transport.Registry.GTFSTest do\n  use ExUnit.Case, async: true\n  doctest Transport.Registry.GTFS, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/registry/model_test.exs",
    "content": "defmodule Transport.Registry.ModelTest do\n  use ExUnit.Case, async: true\n  doctest Transport.Registry.Model.DataSource, import: true\n  doctest Transport.Registry.Model.Stop, import: true\n  doctest Transport.Registry.Model.StopIdentifier, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/registry/result_test.exs",
    "content": "defmodule Transport.Registry.ResultTest do\n  use ExUnit.Case, async: false\n\n  require Integer\n  alias Transport.Registry.Result\n  doctest Result\n\n  test \"cat_results\" do\n    assert [] == cat_results([])\n    assert [] == cat_results([{:error, \"Error message\"}])\n    assert [1, 3] == cat_results([{:ok, 1}, {:error, \"Error message\"}, {:ok, 3}])\n  end\n\n  test \"map_result\" do\n    assert [] == map_result([], &even_is_forbidden/1)\n    assert [1, 3, 5, 7, 9] == map_result(1..10, &even_is_forbidden/1)\n  end\n\n  defp cat_results(enumerable) do\n    enumerable |> Result.cat_results() |> Enum.to_list()\n  end\n\n  defp map_result(enumerable, mapper) do\n    enumerable |> Result.map_result(mapper) |> Enum.to_list()\n  end\n\n  defp even_is_forbidden(i) when Integer.is_odd(i), do: {:ok, i}\n  defp even_is_forbidden(_), do: {:error, \"Even is forbidden\"}\nend\n"
  },
  {
    "path": "apps/transport/test/safe_svg_test.exs",
    "content": "defmodule SafeSVGTest do\n  @moduledoc \"\"\"\n  Check that SVG don't embed JavaScript\n  \"\"\"\n  use ExUnit.Case, async: true\n\n  @false_positives [\n    \"../../apps/transport/client/node_modules/template.data.gouv.fr/dist/images/logo-marianne-brassard.svg\"\n  ]\n\n  test \"SVGs don't have a script tag\" do\n    candidates = \"../../apps/transport/**/*.svg\" |> Path.wildcard()\n\n    refute Enum.empty?(candidates)\n\n    dangerous_files =\n      candidates\n      |> Enum.reject(&(&1 in @false_positives))\n      |> Enum.filter(&potential_issue_detected?/1)\n      |> Enum.map(&Path.relative_to(&1, \"../..\"))\n\n    assert Enum.empty?(dangerous_files)\n  end\n\n  def potential_issue_detected?(file) do\n    file\n    |> File.read!()\n    |> String.contains?(\"<script\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/channel_case.ex",
    "content": "defmodule TransportWeb.ChannelCase do\n  @moduledoc \"\"\"\n  This module defines the test case to be used by\n  channel tests.\n\n  Such tests rely on `Phoenix.ChannelTest` and also\n  import other functionality to make it easier\n  to build common datastructures and query the data layer.\n\n  Finally, if the test case interacts with the database,\n  it cannot be async. For this reason, every test runs\n  inside a transaction which is reset at the beginning\n  of the test unless the test case is marked as async.\n  \"\"\"\n\n  use ExUnit.CaseTemplate\n\n  using do\n    quote do\n      # Import conveniences for testing with channels\n      import Phoenix.ChannelTest\n\n      # The default endpoint for testing\n      @endpoint TransportWeb.Endpoint\n    end\n  end\n\n  setup _tags do\n    :ok\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/conn_case.ex",
    "content": "defmodule TransportWeb.ConnCase do\n  @moduledoc \"\"\"\n  This module defines the test case to be used by\n  tests that require setting up a connection.\n\n  Such tests rely on `Phoenix.ConnTest` and also\n  import other functionality to make it easier\n  to build common datastructures and query the data layer.\n\n  Finally, if the test case interacts with the database,\n  it cannot be async. For this reason, every test runs\n  inside a transaction which is reset at the beginning\n  of the test unless the test case is marked as async.\n  \"\"\"\n\n  use ExUnit.CaseTemplate\n  alias Phoenix.ConnTest\n  import Plug.Test\n\n  using do\n    quote do\n      # Import conveniences for testing with connections\n      import Plug.Conn\n      # NOTE: init_test_session delegates to Plug.Test as seen here,\n      # https://github.com/phoenixframework/phoenix/blob/v1.5.7/lib/phoenix/test/conn_test.ex#L253\n      # which is also imported, hence generating a compilation error.\n      # This is due to how we configured the various \"cases\" I believe, and we'll have to clean that up.\n      import Phoenix.ConnTest, except: [init_test_session: 2]\n      import TransportWeb.Router.Helpers\n      import TransportWeb.ConnCase\n\n      # The default endpoint for testing\n      @endpoint TransportWeb.Endpoint\n\n      use TransportWeb, :verified_routes\n    end\n  end\n\n  setup _tags do\n    {:ok, conn: ConnTest.build_conn()}\n  end\n\n  def setup_admin_in_session(%Plug.Conn{} = conn, contact \\\\ nil) do\n    contact = contact || DB.Factory.insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n    init_test_session(conn, %{current_user: %{\"is_admin\" => true, \"id\" => contact.datagouv_user_id}})\n  end\n\n  @doc \"\"\"\n  For Unlock tests.\n  Override host to route to the proxy router.\n  \"\"\"\n  def proxy_conn do\n    %{Phoenix.ConnTest.build_conn() | host: \"proxy.example.com\"}\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/data_gouv_api_fixtures.ex",
    "content": "defmodule Datagouvfr.ApiFixtures do\n  @moduledoc \"\"\"\n  Utility module for mocking Data.Gouv.Fr API.\n  \"\"\"\n\n  alias HTTPoison.Response\n\n  import Mox\n  import ExUnit.Assertions\n\n  use Datagouvfr.Client\n\n  @doc \"\"\"\n  Mock Data.Gouv.Fr API request and wrap exepected_data into the mocked response.\n  Assert that it's called only one time, that the given expected_url is called.\n  \"\"\"\n  def given_request_return_only_one_page(expected_url, expected_data),\n    do: given_request_return_response_without_next_page(expected_url, expected_data)\n\n  @doc \"\"\"\n  Mock Data.Gouv.Fr API request and wrap exepected_data into the mocked response.\n  Also generate a \"next_page\" url and return it into the mocked response.\n  Assert that it's called only one time, that the given expected_url is called.\n  \"\"\"\n  def given_request_return_response_with_next_page(expected_url, expected_data)\n\n  def given_request_return_response_with_next_page(expected_url, expected_data)\n      when not is_list(expected_data),\n      do: given_request_return_response_with_next_page(expected_url, [expected_data])\n\n  def given_request_return_response_with_next_page(expected_url, expected_data) do\n    next_page = expected_url <> \"_next\"\n    mocked_response = build_mocked_response(:ok, expected_data, 200, next_page)\n    mock_httpoison_request(expected_url, mocked_response)\n\n    next_page\n  end\n\n  @doc \"\"\"\n  Mock Data.Gouv.Fr API request to return an error.\n  Assert that it's called only one time, that the given expected_url is called.\n  An error response does not contains next_page property.\n  \"\"\"\n  def given_request_return_an_error(expected_url, error \\\\ \"error\") do\n    mocked_response = build_mocked_response(:error, expected_url, error)\n    mock_httpoison_request(expected_url, mocked_response)\n  end\n\n  @doc \"\"\"\n  Mock Data.Gouv.Fr API request and wrap exepected_data into the mocked response.\n  Since the resource only have one page, then the mocked response is set with \"next_page\" property to nil.\n  Assert that it's called only one time, that the given expected_url is called.\n  \"\"\"\n  def given_request_return_response_without_next_page(expected_url, expected_data) do\n    mocked_response = build_mocked_response(:ok, expected_data, 200, nil)\n    mock_httpoison_request(expected_url, mocked_response)\n    nil\n  end\n\n  def mock_httpoison_request(expected_url, expected_response, expected_options \\\\ nil) do\n    Transport.HTTPoison.Mock\n    |> expect(\n      :request,\n      1,\n      fn _method, requested_url, _body, _headers, options ->\n        assert expected_url == requested_url\n\n        unless is_nil(expected_options) do\n          assert expected_options == options\n        end\n\n        expected_response\n      end\n    )\n  end\n\n  defp build_mocked_response(:ok, expected_data, expected_status_code, expected_next_page),\n    do: {\n      :ok,\n      %Response{\n        status_code: expected_status_code,\n        body:\n          Jason.encode!(%{\n            next_page: expected_next_page,\n            data: expected_data\n          })\n      }\n    }\n\n  defp build_mocked_response(:error, expected_status_code, expected_data),\n    do: {\n      :ok,\n      %Response{\n        status_code: expected_status_code,\n        body:\n          Jason.encode!(%{\n            data: expected_data\n          })\n      }\n    }\nend\n"
  },
  {
    "path": "apps/transport/test/support/database_case.ex",
    "content": "defmodule TransportWeb.DatabaseCase do\n  @moduledoc \"\"\"\n  This module defines the test case to be used by\n  tests interacting with database.\n  \"\"\"\n\n  use ExUnit.CaseTemplate\n\n  using(options) do\n    quote do\n      alias DB.{AOM, Commune, Dataset, Region, Repo}\n      alias Ecto.Adapters.SQL.Sandbox\n\n      import Ecto\n      import Ecto.Query\n\n      defp init do\n        collections() |> Enum.each(&init(&1))\n      end\n\n      def init(:dataset_triggers) do\n        DB.Repo.query!(\"ALTER TABLE dataset ENABLE TRIGGER refresh_dataset_geographic_view_trigger\")\n        DB.Repo.query!(\"ALTER TABLE dataset ENABLE TRIGGER dataset_update_trigger\")\n      end\n\n      def init(_), do: :ok\n\n      defp cleanup do\n        collections() |> Enum.each(&cleanup(&1))\n      end\n\n      defp cleanup(:datasets), do: Repo.delete_all(Dataset)\n\n      defp cleanup(:dataset_triggers) do\n        DB.Repo.query!(\"ALTER TABLE dataset DISABLE TRIGGER refresh_dataset_geographic_view_trigger\")\n        DB.Repo.query!(\"ALTER TABLE dataset DISABLE TRIGGER dataset_update_trigger\")\n      end\n\n      defp collections do\n        unquote(options)[:cleanup]\n      end\n\n      setup context do\n        :ok = Sandbox.checkout(Repo)\n\n        unless context[:async] do\n          Sandbox.mode(Repo, {:shared, self()})\n        end\n\n        Repo.insert(%Region{nom: \"Pays de la Loire\", insee: \"52\"})\n        Repo.insert(%Region{nom: \"Auvergne-Rhône-Alpes\", insee: \"84\"})\n        Repo.insert(%Region{nom: \"Île-de-France\", insee: \"11\"})\n\n        Repo.insert(%AOM{\n          insee_commune_principale: \"53130\",\n          nom: \"Laval\",\n          region: Repo.get_by(Region, nom: \"Pays de la Loire\"),\n          population: 42\n        })\n\n        Repo.insert(%AOM{\n          insee_commune_principale: \"38185\",\n          nom: \"Grenoble\",\n          region: Repo.get_by(Region, nom: \"Auvergne-Rhône-Alpes\"),\n          population: 43\n        })\n\n        Repo.insert(%AOM{\n          insee_commune_principale: \"36044\",\n          nom: \"Châteauroux\",\n          region: Repo.get_by(Region, nom: \"Auvergne-Rhône-Alpes\"),\n          population: 44\n        })\n\n        Repo.insert(%Commune{\n          insee: \"38185\",\n          nom: \"Grenoble\",\n          surf_ha: 200_554.0\n        })\n\n        Repo.insert(%Commune{\n          insee: \"36044\",\n          nom: \"Châteauroux\",\n          surf_ha: 2554.0\n        })\n\n        Repo.insert(%Commune{\n          insee: \"63096\",\n          nom: \"Chas\",\n          surf_ha: 254.0\n        })\n\n        Repo.insert(%AOM{\n          insee_commune_principale: \"75056\",\n          nom: \"Île-de-France Mobilités\",\n          region: Repo.get_by(Region, nom: \"Île-de-France\"),\n          population: 45\n        })\n\n        Repo.insert(%Commune{\n          insee: \"36063\",\n          nom: \"Déols\",\n          surf_ha: 3177.0\n        })\n\n        cleanup()\n\n        init()\n\n        on_exit(fn ->\n          :ok = Sandbox.checkout(Repo)\n          cleanup()\n        end)\n\n        :ok\n      end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/enroute_chouette_valid_client_helpers.ex",
    "content": "defmodule Transport.Test.EnRouteChouetteValidClientHelpers do\n  @moduledoc \"\"\"\n  This module defines helpers to setup a mock enRoute Chouette Valid client.\n  \"\"\"\n  import Mox\n\n  def expect_create_validation(ruleset) do\n    validation_id = with_running_validation()\n\n    expect(Transport.EnRouteChouetteValidClient.Mock, :create_a_validation, fn _, ^ruleset -> validation_id end)\n\n    validation_id\n  end\n\n  def expect_pending_validation(validation_id) do\n    expect(Transport.EnRouteChouetteValidClient.Mock, :get_a_validation, fn ^validation_id -> :pending end)\n\n    validation_id\n  end\n\n  def expect_successful_validation(validation_id, elapsed) do\n    expect(Transport.EnRouteChouetteValidClient.Mock, :get_a_validation, fn ^validation_id ->\n      {:successful, \"http://localhost:9999/chouette-valid/#{validation_id}\", elapsed}\n    end)\n\n    validation_id\n  end\n\n  def expect_failed_validation(validation_id, elapsed) do\n    expect(Transport.EnRouteChouetteValidClient.Mock, :get_a_validation, fn ^validation_id -> {:failed, elapsed} end)\n\n    validation_id\n  end\n\n  def expect_get_messages(validation_id, result) do\n    expect(Transport.EnRouteChouetteValidClient.Mock, :get_messages, fn ^validation_id ->\n      {\"http://localhost:9999/chouette-valid/#{validation_id}/messages\", result}\n    end)\n\n    validation_id\n  end\n\n  def with_running_validation, do: Ecto.UUID.generate()\nend\n"
  },
  {
    "path": "apps/transport/test/support/external_case.ex",
    "content": "defmodule TransportWeb.ExternalCase do\n  @moduledoc \"\"\"\n  This module defines the test case to be used by\n  test that require to mock external API calls.\n  \"\"\"\n\n  use ExUnit.CaseTemplate\n\n  using do\n    quote do\n      use ExVCR.Mock, adapter: ExVCR.Adapter.Hackney, options: [clear_mock: true]\n      import Plug.Test\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/factory.ex",
    "content": "defmodule DB.Factory do\n  @moduledoc \"\"\"\n  Very preliminary use of ExMachina to generate test records.\n  We should figure out how to use changeset validations here, but\n  so far various troubles have been met.\n  \"\"\"\n  use ExMachina.Ecto, repo: DB.Repo\n\n  # Ecto records\n\n  def departement_factory do\n    %DB.Departement{\n      insee: \"38\",\n      nom: \"Isère\",\n      geom: %Geo.Polygon{\n        coordinates: [\n          [\n            {55.0, 3.0},\n            {60.0, 3.0},\n            {60.0, 5.0},\n            {55.0, 5.0},\n            {55.0, 3.0}\n          ]\n        ],\n        srid: 4326,\n        properties: %{}\n      },\n      zone: \"metro\"\n    }\n  end\n\n  def region_factory do\n    %DB.Region{\n      nom: sequence(\"region_nom\")\n    }\n  end\n\n  def aom_factory do\n    %DB.AOM{\n      insee_commune_principale: \"38185\",\n      nom: \"Grenoble\",\n      siren: \"253800825\",\n      region: build(:region),\n      population: 1_000\n    }\n  end\n\n  def dataset_factory do\n    %DB.Dataset{\n      created_at: DateTime.utc_now(),\n      last_update: DateTime.utc_now(),\n      datagouv_title: \"Hello\",\n      custom_title: \"Hello\",\n      slug: sequence(:slug, fn i -> \"dataset_slug_#{i}\" end),\n      datagouv_id: sequence(:datagouv_id, fn i -> \"dataset_datagouv_id_#{i}\" end),\n      organization_id: sequence(:organization_id, fn i -> \"dataset_organization_id_#{i}\" end),\n      licence: \"lov2\",\n      tags: [],\n      type: \"public-transit\",\n      logo: \"https://example.com/#{Ecto.UUID.generate()}_small.png\",\n      full_logo: \"https://example.com/#{Ecto.UUID.generate()}.png\",\n      frequency: \"daily\",\n      has_realtime: false,\n      is_active: true,\n      is_hidden: false,\n      nb_reuses: Enum.random(0..10)\n    }\n  end\n\n  def dataset_monthly_metric_factory do\n    %DB.DatasetMonthlyMetric{}\n  end\n\n  def dataset_follower_factory do\n    %DB.DatasetFollower{}\n  end\n\n  def resource_monthly_metric_factory do\n    %DB.ResourceMonthlyMetric{}\n  end\n\n  def resource_factory do\n    %DB.Resource{\n      last_import: DateTime.utc_now(),\n      last_update: DateTime.utc_now(),\n      title: \"GTFS.zip\",\n      counter_cache: %{},\n      # NOTE: we should use real urls here (but something safe on localhost?)\n      latest_url: \"url\",\n      url: \"url\",\n      type: \"main\",\n      datagouv_id: Ecto.UUID.generate()\n    }\n  end\n\n  def resource_history_factory do\n    %DB.ResourceHistory{\n      datagouv_id: \"resource_datagouv_id_123\",\n      payload: %{}\n    }\n  end\n\n  def data_conversion_factory do\n    %DB.DataConversion{\n      status: :success,\n      converter: \"my_converter\",\n      converter_version: Ecto.UUID.generate()\n    }\n  end\n\n  def resource_unavailability_factory do\n    %DB.ResourceUnavailability{}\n  end\n\n  def metrics_factory do\n    %DB.Metrics{}\n  end\n\n  def commune_factory do\n    %DB.Commune{\n      nom: \"Ballans\",\n      insee: \"17031\"\n    }\n  end\n\n  def epci_factory do\n    %DB.EPCI{}\n  end\n\n  def data_import_factory do\n    %DB.DataImport{}\n  end\n\n  def gtfs_stop_times_factory do\n    %DB.GTFS.StopTimes{}\n  end\n\n  def gtfs_trips_factory do\n    %DB.GTFS.Trips{}\n  end\n\n  def gtfs_calendar_factory do\n    %DB.GTFS.Calendar{}\n  end\n\n  def gtfs_calendar_dates_factory do\n    %DB.GTFS.CalendarDates{}\n  end\n\n  def geo_data_import_factory do\n    %DB.GeoDataImport{}\n  end\n\n  def geo_data_factory do\n    %DB.GeoData{}\n  end\n\n  def multi_validation_factory do\n    %DB.MultiValidation{validator: \"validator\", validation_timestamp: DateTime.utc_now()}\n  end\n\n  def resource_metadata_factory do\n    %DB.ResourceMetadata{}\n  end\n\n  def dataset_history_factory do\n    %DB.DatasetHistory{}\n  end\n\n  def dataset_history_resources_factory do\n    %DB.DatasetHistoryResources{}\n  end\n\n  def notification_factory do\n    %DB.Notification{}\n  end\n\n  def gtfs_stops_factory do\n    %DB.GTFS.Stops{}\n  end\n\n  def dataset_score_factory do\n    %DB.DatasetScore{}\n  end\n\n  # Non-Ecto stuff, for now kept here for convenience\n\n  def datagouv_api_get_factory do\n    %{\n      \"title\" => \"some title\"\n    }\n  end\n\n  def administrative_division_factory do\n    %DB.AdministrativeDivision{\n      insee: \"38\",\n      type_insee: \"departement_38\",\n      type: :departement,\n      nom: \"Isère\",\n      population: 0,\n      geom: %Geo.Polygon{\n        coordinates: [\n          [\n            {55.0, 3.0},\n            {60.0, 3.0},\n            {60.0, 5.0},\n            {55.0, 5.0},\n            {55.0, 3.0}\n          ]\n        ],\n        srid: 4326,\n        properties: %{}\n      }\n    }\n  end\n\n  @doc \"\"\"\n  Useful function to insert in one call everything needed for resource related tests.\n  A dataset, a resource, a resource history, a multi_validation, some metadata\n  For the moment, it inserts GTFS resources, but could be extended to insert any resource type and validation.\n\n  Usage:\n  insert_resource_and_friends(~D[2022-07-12], [])\n  => insert an active dataset, a resource, a resource history, a validation, a metadata.\n  Metadata contains the end date provided.\n\n  insert_resource_and_friends(~D[2022-07-12], [is_active: false])\n  => same as above, but the dataset is inactive\n\n  insert_resource_and_friends(~D[2022-07-12], [resource_available: false])\n  => resource is inserted with is_available = false\n\n  insert_resource_and_friends(~D[2022-07-12], [resource_history_payload: %{\"url\" => \"xxx\"}])\n  => specify resource_history payload\n\n  insert_resource_and_friends(~D[2022-07-12], [dataset: dataset_1])\n  => provide an already existing dataset. Useful when inserting a second resource linked to a dataset.\n\n  The function returns a map with all the created DB structures\n  \"\"\"\n  def insert_resource_and_friends(end_date, opts \\\\ []) do\n    def_opts = [resource_available: true, is_active: true, resource_history_payload: %{}]\n    opts = Keyword.merge(def_opts, opts)\n\n    dataset_opts =\n      [\n        is_active: Keyword.get(opts, :is_active),\n        has_realtime: Keyword.get(opts, :has_realtime),\n        type: Keyword.get(opts, :type),\n        custom_title: Keyword.get(opts, :custom_title)\n      ]\n      |> Enum.reject(fn {_, v} -> is_nil(v) end)\n\n    dataset = Keyword.get(opts, :dataset, insert(:dataset, dataset_opts))\n\n    %{id: resource_id} =\n      resource =\n      Keyword.get(\n        opts,\n        :resource,\n        insert(:resource,\n          dataset_id: dataset.id,\n          is_available: Keyword.get(opts, :resource_available),\n          is_community_resource: Keyword.get(opts, :is_community_resource, false),\n          format: \"GTFS\",\n          datagouv_id: Ecto.UUID.generate()\n        )\n      )\n\n    resource_history =\n      insert(:resource_history, resource_id: resource_id, payload: Keyword.get(opts, :resource_history_payload))\n\n    multi_validation =\n      insert(:multi_validation,\n        validator: Transport.Validators.GTFSTransport.validator_name(),\n        resource_history_id: resource_history.id,\n        max_error: Keyword.get(opts, :max_error, \"NoError\"),\n        digest: %{\n          \"max_severity\" => %{\"max_level\" => Keyword.get(opts, :max_error, \"NoError\"), \"worst_occurrences\" => 0}\n        }\n      )\n\n    resource_metadata =\n      insert(:resource_metadata,\n        multi_validation_id: multi_validation.id,\n        metadata: %{\"start_date\" => end_date |> Date.add(-60), \"end_date\" => end_date},\n        modes: Keyword.get(opts, :modes),\n        features: Keyword.get(opts, :features)\n      )\n\n    %{\n      dataset: dataset,\n      resource: resource,\n      resource_history: resource_history,\n      multi_validation: multi_validation,\n      resource_metadata: resource_metadata\n    }\n  end\n\n  def insert_up_to_date_resource_and_friends(opts \\\\ []) do\n    insert_resource_and_friends(Date.utc_today() |> Date.add(30), opts)\n  end\n\n  def insert_outdated_resource_and_friends(opts \\\\ []) do\n    insert_resource_and_friends(Date.utc_today() |> Date.add(-5), opts)\n  end\n\n  def insert_notification(%{dataset: %DB.Dataset{id: dataset_id, datagouv_id: datagouv_id}} = args) do\n    args\n    |> Map.delete(:dataset)\n    |> Map.merge(%{dataset_id: dataset_id, dataset_datagouv_id: datagouv_id})\n    |> insert_notification()\n  end\n\n  def insert_notification(args) do\n    notification = %DB.Notification{} |> DB.Notification.changeset(args) |> DB.Repo.insert!()\n\n    case Map.get(args, :inserted_at) do\n      nil -> notification\n      %DateTime{} = dt -> notification |> Ecto.Changeset.change(%{inserted_at: dt}) |> DB.Repo.update!()\n    end\n  end\n\n  def notification_subscription_factory do\n    %DB.NotificationSubscription{}\n  end\n\n  def hidden_reuser_alert_factory do\n    %DB.HiddenReuserAlert{}\n  end\n\n  def resource_related_factory do\n    %DB.ResourceRelated{}\n  end\n\n  def default_token_factory do\n    %DB.DefaultToken{}\n  end\n\n  def reuser_improved_data_factory do\n    dataset = build(:dataset)\n\n    %DB.ReuserImprovedData{\n      dataset: dataset,\n      resource: build(:resource, dataset_id: dataset.id),\n      contact: insert_contact(),\n      organization: build(:organization),\n      download_url: sequence(:download_url, fn i -> \"https://example.com/file_#{i}\" end)\n    }\n  end\n\n  def organization_factory do\n    %DB.Organization{\n      id: Ecto.UUID.generate(),\n      badges: [],\n      logo: \"https://example.com/#{Ecto.UUID.generate()}.small.png\",\n      logo_thumbnail: \"https://example.com/#{Ecto.UUID.generate()}.small.png\",\n      name: sequence(:name, fn i -> \"organization_name_#{i}\" end),\n      slug: sequence(:slug, fn i -> \"organization_slug_#{i}\" end)\n    }\n  end\n\n  def reuse_factory do\n    %DB.Reuse{\n      datagouv_id: sequence(:datagouv_id, &\"datagouv_id-#{&1}\"),\n      title: sequence(:title, &\"Reuse Title #{&1}\"),\n      slug: sequence(:slug, &\"reuse-slug-#{&1}\"),\n      url: sequence(:url, &\"http://example.com/reuse/#{&1}\"),\n      type: \"api\",\n      description: \"A description of the reuse.\",\n      remote_url: sequence(:remote_url, &\"http://remote.example.com/reuse/#{&1}\"),\n      organization: \"Example Organization\",\n      organization_id: sequence(:organization_id, &\"org-#{&1}\"),\n      owner: \"Example Owner\",\n      owner_id: sequence(:owner_id, &\"owner-#{&1}\"),\n      image: sequence(:image, &\"http://example.com/image/#{&1}.jpg\"),\n      featured: false,\n      archived: false,\n      topic: \"transport_and_mobility\",\n      tags: [\"tag1\", \"tag2\"],\n      metric_discussions: 0,\n      metric_datasets: 0,\n      metric_followers: 0,\n      metric_views: 0,\n      created_at: DateTime.utc_now(),\n      last_modified: DateTime.utc_now()\n    }\n  end\n\n  def offer_factory do\n    %DB.Offer{\n      nom_commercial: sequence(:nom_commercial, &\"nom_commercial-#{&1}\"),\n      identifiant_offre: sequence(:identifiant_offre, & &1),\n      type_transport: \"Transport urbain\",\n      modes: [\"Bus\"],\n      nom_aom: sequence(:nom_aom, &\"nom_aom-#{&1}\"),\n      aom_siren: sequence(:aom_siren, &\"aom_siren-#{&1}\"),\n      niveau: \"Local\",\n      exploitant: \"Keolis\",\n      type_contrat: \"\",\n      territoire: sequence(:territoire, &\"territoire-#{&1}\")\n    }\n  end\n\n  def dataset_subtype_factory do\n    %DB.DatasetSubtype{}\n  end\n\n  def company_factory do\n    %DB.Company{\n      siren: \"420495178\",\n      nom_complet: \"SOCIÉTÉ AIR FRANCE\"\n    }\n  end\n\n  def insert_token(%{} = args \\\\ %{}) do\n    args =\n      %{\n        secret: \"secret\",\n        name: \"name\",\n        contact_id: insert_contact().id\n      }\n      |> Map.merge(args)\n\n    # Insert an organization only if `organization_id` was not passed\n    args =\n      if Map.has_key?(args, :organization_id) do\n        args\n      else\n        Map.merge(args, %{organization_id: insert(:organization).id})\n      end\n\n    DB.Token.changeset(%DB.Token{}, args) |> DB.Repo.insert!()\n  end\n\n  def insert_contact(%{} = args \\\\ %{}) do\n    %{\n      first_name: \"John\",\n      last_name: \"Doe\",\n      email: \"john#{Ecto.UUID.generate()}@example.fr\",\n      job_title: \"Boss\",\n      organization: \"Big Corp Inc\",\n      phone_number: \"06 82 22 88 03\",\n      creation_source: \"admin\"\n    }\n    |> Map.merge(args)\n    |> DB.Contact.insert!()\n  end\n\n  def insert_irve_dataset do\n    insert(:dataset, %{\n      type: \"charging-stations\",\n      custom_title: \"Infrastructures de Recharge pour Véhicules Électriques - IRVE\",\n      organization: \"data.gouv.fr\",\n      organization_id: \"646b7187b50b2a93b1ae3d45\"\n    })\n  end\n\n  def insert_bnlc_dataset do\n    insert(:dataset, %{\n      type: \"carpooling-areas\",\n      organization: Application.fetch_env!(:transport, :datagouvfr_transport_publisher_label),\n      organization_id: \"5abca8d588ee386ee6ece479\"\n    })\n  end\n\n  def insert_parcs_relais_dataset do\n    insert(:dataset, %{\n      type: \"road-data\",\n      custom_title: \"Base nationale des parcs relais\",\n      organization: Application.fetch_env!(:transport, :datagouvfr_transport_publisher_label),\n      organization_id: \"5abca8d588ee386ee6ece479\"\n    })\n  end\n\n  def insert_zfe_dataset do\n    insert(:dataset, %{\n      type: \"road-data\",\n      custom_title: \"Base Nationale des Zones à Faibles Émissions (BNZFE)\",\n      organization: Application.fetch_env!(:transport, :datagouvfr_transport_publisher_label),\n      organization_id: \"5abca8d588ee386ee6ece479\",\n      datagouv_id: \"zfe_fake_dataset_id\"\n    })\n  end\n\n  def insert_imported_irve_geo_data(dataset_id) do\n    %{id: resource_history_id} = insert(:resource_history, %{payload: %{\"dataset_id\" => dataset_id}})\n    %{id: geo_data_import_id} = insert(:geo_data_import, %{slug: :irve, resource_history_id: resource_history_id})\n\n    insert(:geo_data, %{\n      geo_data_import_id: geo_data_import_id,\n      geom: %Geo.Point{coordinates: {1, 1}, srid: 4326},\n      payload: %{\n        \"nom_enseigne\" => \"Recharge Super 95\",\n        \"id_station_itinerance\" => \"FRELCPEYSPC\",\n        \"nom_station\" => \"Dehaven Centre\",\n        \"nbre_pdc\" => 2\n      }\n    })\n\n    insert(:geo_data, %{\n      geo_data_import_id: geo_data_import_id,\n      geom: %Geo.Point{coordinates: {2, 2}, srid: 4326},\n      payload: %{\n        \"nom_enseigne\" => \"Recharge Super 95\",\n        \"id_station_itinerance\" => \"FRELCPBLOHM\",\n        \"nom_station\" => \"Gemina Port\",\n        \"nbre_pdc\" => 3\n      }\n    })\n  end\n\n  def generate_dataset_payload(datagouv_id, resources \\\\ nil) do\n    datagouv_dataset_response(%{\"id\" => datagouv_id, \"resources\" => resources || generate_resources_payload()})\n  end\n\n  def datagouv_dataset_response(%{} = attributes \\\\ %{}) do\n    Map.merge(\n      %{\n        \"id\" => Ecto.UUID.generate(),\n        \"title\" => \"dataset\",\n        \"created_at\" => DateTime.utc_now() |> to_string(),\n        \"last_update\" => DateTime.utc_now() |> to_string(),\n        \"slug\" => \"dataset-slug\",\n        \"license\" => \"lov2\",\n        \"frequency\" => \"daily\",\n        \"tags\" => [],\n        \"organization\" => %{\n          \"id\" => Ecto.UUID.generate(),\n          \"name\" => \"Org \" <> Ecto.UUID.generate(),\n          \"badges\" => [],\n          \"logo\" => \"https://example.com/img.jpg\",\n          \"logo_thumbnail\" => \"https://example.com/img.small.jpg\",\n          \"slug\" => Ecto.UUID.generate()\n        }\n      },\n      attributes\n    )\n  end\n\n  def generate_resources_payload(opts \\\\ []) do\n    [generate_resource_payload(opts)]\n  end\n\n  def generate_resource_payload(opts \\\\ []) do\n    %{\n      \"title\" => Keyword.get(opts, :title, \"resource1\"),\n      \"url\" => Keyword.get(opts, :url, \"http://localhost:4321/resource1\"),\n      \"id\" => Keyword.get(opts, :id, \"resource1_id\"),\n      \"type\" => \"main\",\n      \"filetype\" => Keyword.get(opts, :filetype, \"remote\"),\n      \"format\" => Keyword.get(opts, :format, \"zip\"),\n      \"last_modified\" => DateTime.utc_now() |> DateTime.add(-1, :hour) |> DateTime.to_iso8601(),\n      \"schema\" => %{\"name\" => Keyword.get(opts, :schema_name), \"version\" => Keyword.get(opts, :schema_version)}\n    }\n  end\n\n  defmodule IRVE do\n    @moduledoc \"\"\"\n    Factory part relevant to IRVE.\n    \"\"\"\n\n    @doc \"\"\"\n    Generate a row following the IRVE static schema.\n\n    See:\n    - https://schema.data.gouv.fr/etalab/schema-irve-statique/\n    \"\"\"\n    def generate_row(overrides \\\\ %{}) do\n      %{\n        \"nom_amenageur\" => \"Métropole de Nulle Part\",\n        \"siren_amenageur\" => \"123456782\",\n        \"contact_amenageur\" => \"amenageur@example.com\",\n        \"nom_operateur\" => \"Opérateur de Charge\",\n        \"contact_operateur\" => \"operateur@example.com\",\n        \"telephone_operateur\" => \"0199456782\",\n        \"nom_enseigne\" => \"Réseau de recharge\",\n        \"id_station_itinerance\" => \"FRPAN99P12345678\",\n        \"id_station_local\" => \"station_001\",\n        \"nom_station\" => \"Ma Station\",\n        \"implantation_station\" => \"Voirie\",\n        \"adresse_station\" => \"26 rue des écluses, 17430 Champdolent\",\n        \"code_insee_commune\" => \"17085\",\n        \"coordonneesXY\" => \"[-0.799141,45.91914]\",\n        \"nbre_pdc\" => 1,\n        \"id_pdc_itinerance\" => \"FRPAN99E12345678\",\n        \"id_pdc_local\" => \"pdc_001\",\n        \"puissance_nominale\" => 22,\n        \"prise_type_ef\" => false,\n        \"prise_type_2\" => true,\n        \"prise_type_combo_ccs\" => false,\n        \"prise_type_chademo\" => false,\n        \"prise_type_autre\" => false,\n        \"gratuit\" => false,\n        \"paiement_acte\" => true,\n        \"paiement_cb\" => true,\n        \"paiement_autre\" => true,\n        \"tarification\" => \"2,50€ / 30min puis 0,025€ / minute\",\n        \"condition_acces\" => \"Accès libre\",\n        \"reservation\" => false,\n        \"horaires\" => \"24/7\",\n        \"accessibilite_pmr\" => \"Accessible mais non réservé PMR\",\n        \"restriction_gabarit\" => \"Hauteur maximale 2.30m\",\n        \"station_deux_roues\" => false,\n        \"raccordement\" => \"Direct\",\n        \"num_pdl\" => \"12345678912345\",\n        \"date_mise_en_service\" => \"2024-10-02\",\n        \"observations\" => \"Station située au niveau -1 du parking\",\n        \"date_maj\" => \"2024-10-17\",\n        \"cable_t2_attache\" => false\n      }\n      |> Map.merge(overrides)\n    end\n\n    def to_csv_body(items), do: items |> CSV.encode(headers: true) |> Enum.join()\n\n    def build_datagouv_initial_pagination_payload(page_size: page_size) do\n      %{\n        \"data\" => [],\n        \"next_page\" => nil,\n        \"page\" => 1,\n        \"total\" => 1,\n        \"page_size\" => page_size\n      }\n    end\n\n    @doc \"\"\"\n    Build a typical data gouv API (list datasets) response.\n\n    If you need to verify or modify the payload, see examples at:\n    - https://www.data.gouv.fr/api/1/datasets/?page=1&page_size=20&schema=etalab%2Fschema-irve-statique\n    - https://doc.data.gouv.fr/api/reference/#/datasets/list_datasets\n    \"\"\"\n    def build_datagouv_page_payload do\n      %{\n        \"data\" => [\n          %{\n            \"id\" => \"the-dataset-id\",\n            \"title\" => \"the-dataset-title\",\n            \"organization\" => %{\n              \"id\" => \"the-org-id\",\n              \"name\" => \"the-org\",\n              \"page\" => \"http://the-org\"\n            },\n            \"resources\" => [\n              %{\n                \"schema\" => %{\n                  \"name\" => \"etalab/schema-irve-statique\",\n                  \"version\" => \"2.3.0\"\n                },\n                \"id\" => \"the-resource-id\",\n                \"title\" => \"the-resource-title\",\n                \"extras\" => %{\n                  \"validation-report:valid_resource\" => true,\n                  \"validation-report:validation_date\" => \"2024-02-24\"\n                },\n                \"filetype\" => \"file\",\n                \"last_modified\" => \"2024-02-29T07:43:59.660000+00:00\",\n                \"url\" => \"https://static.data.gouv.fr/resources/some-irve-url-2024/data.csv\"\n              }\n            ]\n          },\n          %{\n            \"id\" => \"another-dataset-id\",\n            \"title\" => \"another-dataset-title\",\n            \"organization\" => %{\n              \"id\" => \"another-org-id\",\n              \"name\" => \"another-org\",\n              \"page\" => \"http://another-org\"\n            },\n            \"resources\" => [\n              %{\n                \"schema\" => %{\n                  \"name\" => \"etalab/schema-irve-statique\",\n                  \"version\" => \"2.3.0\"\n                },\n                \"id\" => \"another-resource-id\",\n                \"title\" => \"another-resource-title\",\n                \"extras\" => %{\n                  \"validation-report:valid_resource\" => true,\n                  \"validation-report:validation_date\" => \"2024-02-24\"\n                },\n                \"filetype\" => \"file\",\n                \"last_modified\" => \"2024-02-29T07:43:59.660000+00:00\",\n                \"url\" => \"https://static.data.gouv.fr/resources/another-irve-url-2024/data.csv\"\n              }\n            ]\n          },\n          %{\n            \"id\" => \"individual-published-dataset-id\",\n            \"title\" => \"individual-published-dataset-title\",\n            \"organization\" => nil,\n            \"owner\" => %{\n              \"class\" => \"User\",\n              \"first_name\" => \"Guy\",\n              \"id\" => \"test-user-id\",\n              \"last_name\" => \"Who loves IRVE\"\n            },\n            \"resources\" => [\n              %{\n                \"schema\" => %{\n                  \"name\" => \"etalab/schema-irve-statique\",\n                  \"version\" => \"2.3.0\"\n                },\n                \"id\" => \"individual-published-resource-id\",\n                \"title\" => \"individual-published-resource-title\",\n                \"extras\" => %{\n                  \"validation-report:valid_resource\" => true,\n                  \"validation-report:validation_date\" => \"2024-02-24\"\n                },\n                \"filetype\" => \"file\",\n                \"last_modified\" => \"2024-02-29T07:43:59.660000+00:00\",\n                \"url\" => \"https://static.data.gouv.fr/resources/individual-published-irve-url-2024/data.csv\"\n              }\n            ]\n          }\n        ]\n      }\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/file_stream_utils.ex",
    "content": "defmodule Transport.Test.FileStreamUtils do\n  @moduledoc \"\"\"\n  Shared tools to mox unzip calls during tests.\n  \"\"\"\n  import ExUnit.Assertions\n  import Mox\n\n  def setup_get_file_stream_mox(zip_filename) do\n    # NOTE: it will be possible to reuse common code from Transport.Unzip.S3 in there\n    Transport.Unzip.S3.Mock\n    |> expect(:get_file_stream, fn file_in_zip, zip_file, bucket ->\n      # from payload\n      assert zip_file == zip_filename\n      # from config\n      assert bucket == \"transport-data-gouv-fr-resource-history-test\"\n\n      # stub with a local file\n      path = \"#{__DIR__}/../fixture/files/gtfs_import.zip\"\n      zip_file = Unzip.LocalFile.open(path)\n      {:ok, unzip} = Unzip.new(zip_file)\n      Unzip.file_stream!(unzip, file_in_zip)\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/live_case.ex",
    "content": "defmodule TransportWeb.LiveCase do\n  @moduledoc \"\"\"\n  This module defines the test case to be used by\n  tests interacting with LiveView.\n  \"\"\"\n  use ExUnit.CaseTemplate\n\n  using(_options) do\n    quote do\n      import Phoenix.ConnTest\n\n      def extract_data_from_html(html) do\n        doc = Floki.parse_document!(html)\n\n        headers =\n          doc\n          |> Floki.find(\"table thead tr th\")\n          |> Enum.map(&Floki.text/1)\n          # delete newline and additional spaces (caused by formatting)\n          |> Enum.map(&String.replace(&1, ~r/\\n\\s*/, \"\"))\n\n        doc\n        |> Floki.find(\"table tbody tr\")\n        |> Enum.map(fn row ->\n          cells =\n            row\n            |> Floki.find(\"td\")\n            |> Enum.map(&Floki.text/1)\n\n          headers\n          |> Enum.zip(cells)\n          |> Enum.into(%{})\n        end)\n      end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/live_view_test_helpers.ex",
    "content": "defmodule TransportWeb.LiveViewTestHelpers do\n  @moduledoc \"\"\"\n  Shared helpers for Phoenix LiveView tests.\n  \"\"\"\n  import ExUnit.Assertions\n  import Phoenix.LiveViewTest\n\n  @doc \"\"\"\n  Like `assert_patched/2`, but compares query params as a map\n  to avoid flaky failures due to non-deterministic parameter ordering in URLs.\n  \"\"\"\n  def assert_patched_any_params_order(view, expected_url) do\n    # assert_patch/1 waits for a patch to happen and returns the actual URL\n    actual_url = assert_patch(view)\n    actual_uri = URI.parse(actual_url)\n    expected_uri = URI.parse(expected_url)\n    assert actual_uri.path == expected_uri.path\n    assert URI.decode_query(actual_uri.query) == URI.decode_query(expected_uri.query)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/mocks.ex",
    "content": "Mox.defmock(Transport.ExAWS.Mock, for: ExAws.Behaviour)\nMox.defmock(Shared.Validation.Validator.Mock, for: Shared.Validation.Validator)\nMox.defmock(Transport.Rambo.Mock, for: Transport.RamboLauncher)\nMox.defmock(Transport.GBFSMetadata.Mock, for: Transport.GBFSMetadata.Wrapper)\nMox.defmock(Transport.AvailabilityChecker.Mock, for: Transport.AvailabilityChecker.Wrapper)\nMox.defmock(Transport.Validators.JSONSchema.Mock, for: Transport.Validators.JSONSchema.Wrapper)\nMox.defmock(Transport.Validators.TableSchema.Mock, for: Transport.Validators.TableSchema.Wrapper)\nMox.defmock(Transport.History.Fetcher.Mock, for: Transport.History.Fetcher)\nMox.defmock(Hasher.Mock, for: Hasher.Wrapper)\nMox.defmock(Transport.ValidatorsSelection.Mock, for: Transport.ValidatorsSelection)\nMox.defmock(Transport.SIRIQueryGenerator.Mock, for: Transport.SIRIQueryGenerator.Behaviour)\nMox.defmock(Transport.Unzip.S3.Mock, for: Transport.Unzip.S3.Behaviour)\nMox.defmock(Transport.EnRouteChouetteValidClient.Mock, for: Transport.EnRouteChouetteValidClient.Wrapper)\n\nMox.defmock(Transport.Validators.MobilityDataGTFSValidatorClient.Mock,\n  for: Transport.Validators.MobilityDataGTFSValidatorClient.Wrapper\n)\n\nMox.defmock(Unlock.BatchMetrics.Mock, for: Unlock.EventIncrementer)\nMox.defmock(Transport.Schemas.Mock, for: Transport.Schemas.Wrapper)\n\nMox.defmock(Unlock.Config.Fetcher.Mock, for: Unlock.Config.Fetcher)\nMox.defmock(Unlock.HTTP.Client.Mock, for: Unlock.HTTP.Client)\n\nMox.defmock(Datagouvfr.Client.CommunityResources.Mock, for: Datagouvfr.Client.CommunityResources)\nMox.defmock(Datagouvfr.Authentication.Mock, for: Datagouvfr.Authentication.Wrapper)\nMox.defmock(Datagouvfr.Client.User.Mock, for: Datagouvfr.Client.User.Wrapper)\nMox.defmock(Datagouvfr.Client.Reuses.Mock, for: Datagouvfr.Client.Reuses.Wrapper)\nMox.defmock(Datagouvfr.Client.Discussions.Mock, for: Datagouvfr.Client.Discussions.Wrapper)\nMox.defmock(Datagouvfr.Client.Organization.Mock, for: Datagouvfr.Client.Organization.Wrapper)\nMox.defmock(Datagouvfr.Client.Datasets.Mock, for: Datagouvfr.Client.Datasets)\nMox.defmock(Datagouvfr.Client.Resources.Mock, for: Datagouvfr.Client.Resources)\n"
  },
  {
    "path": "apps/transport/test/support/netex_validation_report.ex",
    "content": "defmodule NeTExValidationReportHelpers do\n  @moduledoc \"\"\"\n  A set of helpers to test NeTEx validation reports.\n  \"\"\"\n\n  import Phoenix.ConnTest\n\n  def csv_response(conn, status) do\n    body = response(conn, status)\n    _ = response_content_type(conn, :csv)\n\n    body\n  end\n\n  def parse_csv(body) do\n    [body]\n    |> CSV.decode!(headers: true)\n    |> Enum.to_list()\n  end\n\n  def parquet_response(conn, status) do\n    body = response(conn, status)\n    _ = response_content_type(conn, :\"vnd.apache.parquet\")\n\n    body\n  end\n\n  def parse_parquet(body) do\n    body\n    |> Explorer.DataFrame.load_parquet!()\n    |> Explorer.DataFrame.to_rows()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/platform.ex",
    "content": "defmodule Transport.Platform do\n  @moduledoc \"\"\"\n  A little heuristic to determine if the code is running on a Mac M1.\n\n  Duplicate from `mix.exs`, a bit complicated to DRY apparently.\n  \"\"\"\n  def apple_silicon? do\n    :system_architecture\n    |> :erlang.system_info()\n    |> List.to_string()\n    |> String.starts_with?(\"aarch64-apple-darwin\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/siri_queries.ex",
    "content": "defmodule SIRIQueries do\n  @moduledoc \"\"\"\n  A place to group query building, used for testing.\n  \"\"\"\n  import Saxy.XML\n\n  @top_level_namespaces [\n    {\"xmlns:S\", \"http://schemas.xmlsoap.org/soap/envelope/\"},\n    {\"xmlns:SOAP-ENV\", \"http://schemas.xmlsoap.org/soap/envelope/\"}\n  ]\n\n  @request_namespaces [\n    {\"xmlns:sw\", \"http://wsdl.siri.org.uk\"},\n    {\"xmlns:siri\", \"http://www.siri.org.uk/siri\"}\n  ]\n\n  # original pattern from the experimental SIRI scripts, used as a basis of comparison\n  # to build something more API-esque, which will be useful for more flexible testing\n  def siri_query_from_template(timestamp, requestor_ref, message_identifier, stop_ref) do\n    \"\"\"\n    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\n    <S:Envelope xmlns:S=\"http://schemas.xmlsoap.org/soap/envelope/\" xmlns:SOAP-ENV=\"http://schemas.xmlsoap.org/soap/envelope/\">\n    <S:Body>\n        <sw:GetStopMonitoring xmlns:sw=\"http://wsdl.siri.org.uk\" xmlns:siri=\"http://www.siri.org.uk/siri\">\n            <ServiceRequestInfo>\n                <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n                <siri:RequestorRef>#{requestor_ref}</siri:RequestorRef>\n                <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n            </ServiceRequestInfo>\n            <Request>\n                <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n                <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n                <siri:MonitoringRef>#{stop_ref}</siri:MonitoringRef>\n                <siri:StopVisitTypes>all</siri:StopVisitTypes>\n            </Request>\n        </sw:GetStopMonitoring>\n    </S:Body>\n    </S:Envelope>\n    \"\"\"\n  end\n\n  # a more flexible way to build SIRI queries\n  def siri_query_from_builder(timestamp, requestor_ref, message_id, stop_ref, prolog \\\\ nil) do\n    root =\n      element(\"S:Envelope\", @top_level_namespaces, [\n        element(\"S:Body\", [], [\n          element(\"sw:GetStopMonitoring\", @request_namespaces, [\n            element(\"ServiceRequestInfo\", [], [\n              element(\"siri:RequestTimestamp\", [], timestamp),\n              element(\"siri:RequestorRef\", [], requestor_ref),\n              element(\"siri:MessageIdentifier\", [], message_id)\n            ]),\n            element(\"Request\", [], [\n              element(\"siri:RequestTimestamp\", [], timestamp),\n              element(\"siri:MessageIdentifier\", [], message_id),\n              element(\"siri:MonitoringRef\", [], stop_ref),\n              element(\"siri:StopVisitTypes\", [], [\"all\"])\n            ])\n          ])\n        ])\n      ])\n\n    Saxy.encode!(root, prolog)\n  end\n\n  def filter_newlines_from_model({element, tags, children}) do\n    {\n      element,\n      tags,\n      children\n      |> Enum.map(&filter_newlines_from_model/1)\n      |> Enum.reject(&is_nil/1)\n    }\n  end\n\n  def filter_newlines_from_model(content) when is_binary(content) do\n    if content |> String.trim() == \"\", do: nil, else: content\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/tmp_file.ex",
    "content": "defmodule Transport.TmpFile do\n  @moduledoc \"\"\"\n  Reusable abstraction to create & delete temporary files during tests.\n  \"\"\"\n\n  @doc \"\"\"\n  Create a tmp file with the provided content, run the provided `cb` method\n  and pass it the tmp file path. Ensure the file is deleted afterward.\n  \"\"\"\n  def with_tmp_file(content, cb) do\n    tmp_path = System.tmp_dir!() |> Path.join(\"transport_test_file_#{Ecto.UUID.generate()}.dat\")\n\n    try do\n      File.write!(tmp_path, content)\n      cb.(tmp_path)\n    after\n      File.rm(tmp_path)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/support/zip_creator.ex",
    "content": "defmodule ZipCreator do\n  @moduledoc \"\"\"\n  A light wrapper around OTP `:zip` features. Does not support streaming here,\n  but massages the string <-> charlist differences.\n  \"\"\"\n  @spec create!(String.t(), [{String.t(), binary()}]) :: no_return()\n  def create!(zip_filename, file_data) do\n    {:ok, ^zip_filename} =\n      :zip.create(\n        zip_filename,\n        file_data\n        |> Enum.map(fn {name, content} -> {name |> to_charlist(), content} end)\n      )\n  end\n\n  def with_tmp_zip(entries, cb) do\n    tmp_file = System.tmp_dir!() |> Path.join(\"temp-netex-#{Ecto.UUID.generate()}.zip\")\n\n    try do\n      ZipCreator.create!(tmp_file, entries)\n      cb.(tmp_file)\n    after\n      File.rm(tmp_file)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/swoosh_assert_no_email_sent_test.exs",
    "content": "defmodule SwooshAssertNoEmailSent do\n  @moduledoc \"\"\"\n  Check that we didn't send more emails when using Swoosh.\n  \"\"\"\n  use ExUnit.Case, async: true\n\n  test \"if you verify emails sent, you assert_no_email_sent\" do\n    files =\n      \"../../apps/transport/test/**/*_test.exs\"\n      |> Path.wildcard()\n      |> Enum.filter(&potential_issue_detected?/1)\n      |> Enum.map(&Path.relative_to(&1, \"../..\"))\n\n    assert files == []\n  end\n\n  def potential_issue_detected?(file) do\n    content = File.read!(file)\n    use_swoosh = String.contains?(content, \"import Swoosh.TestAssertions\")\n    assert_no_email_sent = String.contains?(content, \"on_exit(fn -> assert_no_email_sent() end)\")\n    use_swoosh and not assert_no_email_sent\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/test_helper.exs",
    "content": "exclude = [:pending]\n# NOTE: the CI variable is defined by CircleCI (and oftent by CI providers) here:\n# https://circleci.com/docs/2.0/env-vars/#built-in-environment-variables\nextra_exclude =\n  if System.get_env(\"CI\") == \"true\" do\n    # Run tests tagged with `:ci_only_on_mondays` only:\n    # - within the continuous integration env\n    # - on Mondays\n    case Date.utc_today() |> Date.day_of_week() do\n      1 -> []\n      _ -> [:ci_only_on_mondays]\n    end\n  else\n    [:transport_tools, :ci_only_on_mondays, :external, :timescaledb]\n  end\n\nExUnit.configure(exclude: exclude ++ extra_exclude)\n\n{:ok, _} = Application.ensure_all_started(:ex_machina)\n\n# Start ExUnit.\nExUnit.start()\n\n# Define VCR's path.\nExVCR.Config.cassette_library_dir(\"test/fixture/cassettes\")\n\n# Disable triggers on dataset, causing deadlocks\nDB.Repo.query!(\"ALTER TABLE dataset DISABLE TRIGGER refresh_dataset_geographic_view_trigger\")\nDB.Repo.query!(\"ALTER TABLE dataset DISABLE TRIGGER dataset_update_trigger\")\n\nEcto.Adapters.SQL.Sandbox.mode(DB.Repo, :manual)\n"
  },
  {
    "path": "apps/transport/test/transport/S3/aggregates_uploader_test.exs",
    "content": "defmodule Transport.S3.AggregatesUploaderTest do\n  use ExUnit.Case, async: true\n\n  alias Transport.S3.AggregatesUploader\n  alias Transport.Test.S3TestUtils\n  import Mox\n  setup :verify_on_exit!\n\n  test \"export to S3\" do\n    aggregate = \"aggregate-20250127193035.csv\"\n    latest_aggregate = \"aggregate-latest.csv\"\n    checksum = \"#{aggregate}.sha256sum\"\n    latest_checksum = \"#{latest_aggregate}.sha256sum\"\n\n    bucket_name = Transport.S3.bucket_name(:aggregates)\n\n    test_data = \"some relevant data\"\n\n    # Compute this with sha256sum: echo -n \"some relevant data\" | sha256sum\n    expected_sha256 = \"28d89bc28c02b0ed66f22b400b535e800e3a6b305e931c18dc01f8bf3582f1f9\"\n\n    S3TestUtils.s3_mock_stream_file(path: aggregate, bucket: bucket_name, acl: :private, file_content: test_data)\n    S3TestUtils.s3_mock_stream_file(path: checksum, bucket: bucket_name, acl: :private, file_content: expected_sha256)\n    S3TestUtils.s3_mocks_remote_copy_file(bucket_name, aggregate, latest_aggregate)\n    S3TestUtils.s3_mocks_remote_copy_file(bucket_name, checksum, latest_checksum)\n\n    AggregatesUploader.with_tmp_file(fn file ->\n      File.write(file, test_data)\n\n      :ok = AggregatesUploader.upload_aggregate!(file, aggregate, latest_aggregate)\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/application_test.exs",
    "content": "defmodule Transport.ApplicationTest do\n  use ExUnit.Case, async: false\nend\n"
  },
  {
    "path": "apps/transport/test/transport/availability_checker_test.exs",
    "content": "defmodule Transport.AvailabilityCheckerTest do\n  use ExUnit.Case, async: false\n  import Mock\n  import Mox\n  alias Transport.AvailabilityChecker\n\n  setup :verify_on_exit!\n\n  test \"HEAD supported, 200\" do\n    mock_head_with_status(200)\n    assert AvailabilityChecker.available?(\"GTFS\", \"url200\")\n  end\n\n  test \"HEAD supported, 400\" do\n    mock_head_with_status(400)\n    refute AvailabilityChecker.available?(\"GTFS\", \"url400\")\n  end\n\n  test \"HEAD supported, 500\" do\n    mock_head_with_status(500)\n    refute AvailabilityChecker.available?(\"GTFS\", \"url500\")\n  end\n\n  test \"HEAD supported, 204\" do\n    mock_head_with_status(204)\n    refute AvailabilityChecker.available?(\"GTFS\", \"url204\")\n  end\n\n  describe \"SIRI or SIRI Lite resource\" do\n    test \"401\" do\n      Transport.HTTPoison.Mock\n      |> expect(:get, 2, fn _url, [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 401}}\n      end)\n\n      assert AvailabilityChecker.available?(\"SIRI\", \"url401\")\n      assert AvailabilityChecker.available?(\"SIRI Lite\", \"url401\")\n    end\n\n    test \"405\" do\n      Transport.HTTPoison.Mock\n      |> expect(:get, 2, fn _url, [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 405}}\n      end)\n\n      assert AvailabilityChecker.available?(\"SIRI\", \"url405\")\n      assert AvailabilityChecker.available?(\"SIRI Lite\", \"url405\")\n    end\n\n    test \"303 response\" do\n      # See https://github.com/edgurgel/httpoison/issues/171#issuecomment-244029927\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn _url, [], [follow_redirect: true] ->\n        {:error, %HTTPoison.Error{reason: {:invalid_redirection, nil}}}\n      end)\n\n      assert AvailabilityChecker.available?(\"SIRI\", \"url303\")\n    end\n\n    test \"500 response (regular)\" do\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn \"url500\", [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 500, body: \"utter failure\"}}\n      end)\n\n      refute AvailabilityChecker.available?(\"SIRI\", \"url500\")\n    end\n\n    test \"500 response (but with SOAP body)\" do\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn \"url500soap\", [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 500, body: \"<soap:Envelope></soap:Envelope>\"}}\n      end)\n\n      assert AvailabilityChecker.available?(\"SIRI\", \"url500soap\")\n    end\n  end\n\n  test \"HEAD NOT supported, fallback on stream method\" do\n    test_fallback_to_stream(405)\n  end\n\n  test \"HEAD requires auth, fallback on stream method\" do\n    test_fallback_to_stream(401)\n    test_fallback_to_stream(403)\n  end\n\n  test \"redirection for Google Drive\" do\n    expect(Transport.HTTPoison.Mock, :head, fn _url, [], [follow_redirect: true, hackney: [force_redirect: true]] ->\n      {:ok, %HTTPoison.Response{status_code: 200}}\n    end)\n\n    assert AvailabilityChecker.available?(\"GTFS\", \"https://drive.google.com/test_url\")\n  end\n\n  defp mock_head_with_status(status_code) do\n    expect(Transport.HTTPoison.Mock, :head, fn _url, [], [follow_redirect: true] ->\n      {:ok, %HTTPoison.Response{status_code: status_code}}\n    end)\n  end\n\n  defp test_fallback_to_stream(status_code) do\n    mock_head_with_status(status_code)\n\n    streamer_mock = fn _url -> {:ok, 200} end\n\n    with_mock HTTPStreamV2, fetch_status_follow_redirect: streamer_mock do\n      assert AvailabilityChecker.available?(\"GTFS\", \"url\")\n      assert_called_exactly(HTTPStreamV2.fetch_status_follow_redirect(:_), 1)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/cache_cachex_test.exs",
    "content": "defmodule Transport.Cache.Cachex.Test do\n  # make sure to keep UUID for cache keys so that async can be kept in place\n  use ExUnit.Case, async: true\n  import ExUnit.CaptureLog\n\n  setup do\n    on_exit(fn -> Cachex.clear(Transport.Application.cache_name()) end)\n  end\n\n  def build_unique_cache_key, do: Ecto.UUID.generate()\n\n  test \"it caches values provided in Cachex cache\" do\n    unique_cache_key = build_unique_cache_key()\n    initial_value = [hello: \"world\"]\n\n    Transport.Cache.Cachex.fetch(unique_cache_key, fn -> initial_value end)\n    assert Cachex.get!(:transport, unique_cache_key) == initial_value\n\n    Transport.Cache.Cachex.fetch(unique_cache_key, fn -> \"something else\" end)\n    assert Cachex.get!(:transport, unique_cache_key) == [hello: \"world\"]\n\n    assert_in_delta Cachex.ttl!(:transport, unique_cache_key), 60_000, 1000\n  end\n\n  test \"custom expire\" do\n    unique_cache_key = build_unique_cache_key()\n    initial_value = [hello: \"world\"]\n\n    Transport.Cache.Cachex.fetch(unique_cache_key, fn -> initial_value end, :timer.seconds(45))\n\n    assert Cachex.get!(:transport, unique_cache_key) == initial_value\n    assert_in_delta Cachex.ttl!(:transport, unique_cache_key), 45_000, 1000\n  end\n\n  test \"it bubbles up errors occurring inside the computation function\" do\n    logs =\n      capture_log(fn ->\n        assert_raise ArithmeticError, fn ->\n          Transport.Cache.Cachex.fetch(build_unique_cache_key(), fn -> raise ArithmeticError end)\n        end\n      end)\n\n    assert logs =~ \"The computation function failed during cached query\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/cached_files_test.exs",
    "content": "defmodule Transport.CachedFilesTest do\n  use ExUnit.Case\n\n  test \"CSV for ZFE looks okay\" do\n    zfe = Transport.CachedFiles.zfe_ids()\n\n    # No duplicates\n    assert zfe |> Enum.map(& &1[\"code\"]) |> Enum.uniq() |> Enum.count() == Enum.count(zfe)\n    assert zfe |> Enum.map(& &1[\"siren\"]) |> Enum.uniq() |> Enum.count() == Enum.count(zfe)\n    # No empty code\n    assert zfe |> Enum.map(& &1[\"code\"]) |> Enum.filter(&is_nil(&1)) |> Enum.empty?()\n  end\n\n  test \"can load CSV for GBFS operators\" do\n    operators = Transport.CachedFiles.gbfs_operators() |> Enum.map(& &1[\"operator\"]) |> Enum.uniq()\n\n    assert \"JC Decaux\" in operators\n    assert \"Cykleo\" in operators\n\n    # Check `operator` values. Prevent typos and ensure unique values.\n    # Detect things like `Cykleo` VS `Cykléo`.\n    for x <- operators, y <- operators, x != y do\n      error_message = \"#{x} and #{y} look too similar. Is it the same operator?\"\n      assert String.jaro_distance(x, y) <= 0.75 || distinct_operators?(x, y), error_message\n    end\n\n    # Check `url` values. Make sure there is at most a single match per GBFS feed.\n    # We can't have in the file `example.com` and `example.com/city` for example.\n    urls = Transport.CachedFiles.gbfs_operators() |> Enum.map(& &1[\"url\"])\n\n    for x <- urls, y <- urls, x != y do\n      refute String.contains?(x, y), \"#{x} is contained #{y}. A GBFS feed can only match for a single URL.\"\n    end\n  end\n\n  def distinct_operators?(x, y) do\n    [\n      [\"Citiz\", \"Citybike\"]\n    ]\n    |> Enum.member?(Enum.sort([x, y]))\n  end\n\n  test \"can load static IRVE schema\" do\n    irve_schema = Transport.CachedFiles.static_irve_schema()\n    assert irve_schema[\"name\"] == \"schema-irve-statique\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/comments_checker_test.exs",
    "content": "defmodule Transport.CommentsCheckerTest do\n  use ExUnit.Case, async: false\n  alias DB.{Dataset, Repo}\n  alias Transport.CommentsChecker\n  import DB.Factory\n  import Mock\n  import Mox\n  import Swoosh.TestAssertions\n  setup :verify_on_exit!\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  def assert_dataset_ts(id, timestamp) do\n    %{latest_data_gouv_comment_timestamp: db_ts} = Dataset |> Repo.get!(id)\n\n    case timestamp do\n      nil -> assert is_nil(db_ts)\n      %DateTime{} = timestamp -> assert DateTime.diff(timestamp, db_ts) < 1\n    end\n  end\n\n  test \"relevant_datasets\" do\n    %DB.Dataset{id: dataset_id} = insert(:dataset, is_active: true)\n    insert(:dataset, is_active: true, is_hidden: true)\n    insert(:dataset, is_active: false)\n\n    assert [%DB.Dataset{id: ^dataset_id}] = CommentsChecker.relevant_datasets()\n  end\n\n  test \"check for new comments on data.gouv.fr\" do\n    %DB.Dataset{id: dataset_id} = insert(:dataset, datagouv_title: \"dataset 1\")\n    %DB.Contact{id: contact_id, email: email} = contact = insert_contact()\n\n    %DB.NotificationSubscription{id: ns_id} =\n      insert(:notification_subscription, %{\n        reason: :daily_new_comments,\n        source: :admin,\n        contact_id: contact_id,\n        role: :producer\n      })\n\n    # Should be ignored: reuser\n    insert(:notification_subscription, %{\n      reason: :daily_new_comments,\n      source: :user,\n      contact_id: insert_contact().id,\n      role: :reuser\n    })\n\n    # when the dataset is created, no comment timestamp is stored\n    assert_dataset_ts(dataset_id, nil)\n\n    get_mock = fn _url, [], _ ->\n      {:ok,\n       %{\n         \"data\" => [\n           %{\n             \"id\" => \"discussion_id_1\",\n             \"discussion\" => [\n               %{\"posted_on\" => \"2020-01-01T12:00:00.000100+00:00\", \"content\" => \"commentaire 1\"}\n             ]\n           }\n         ]\n       }}\n    end\n\n    with_mock Datagouvfr.Client.API, get: get_mock do\n      number_new_comments = CommentsChecker.check_for_new_comments()\n\n      assert_email_sent(\n        subject: \"1 nouveaux commentaires sur transport.data.gouv.fr\",\n        to: [{DB.Contact.display_name(contact), contact.email}]\n      )\n\n      assert number_new_comments == 1\n      assert_dataset_ts(dataset_id, ~U[2020-01-01T12:00:00.000100Z])\n    end\n\n    # second run: we shouldn't find new comment\n    with_mock Datagouvfr.Client.API, get: get_mock do\n      number_new_comments = CommentsChecker.check_for_new_comments()\n\n      assert_no_email_sent()\n\n      assert number_new_comments == 0\n      assert_dataset_ts(dataset_id, ~U[2020-01-01T12:00:00.000100Z])\n    end\n\n    # we add a new comment\n    get_mock = fn _url, [], _ ->\n      {:ok,\n       %{\n         \"data\" => [\n           %{\n             \"id\" => \"discussion_id_1\",\n             \"discussion\" => [\n               %{\"posted_on\" => \"2020-01-01T12:00:00.000100+00:00\", \"content\" => \"commentaire 1\"},\n               %{\"posted_on\" => \"2021-01-01T12:00:00.000200+00:00\", \"content\" => \"commentaire 2\"}\n             ]\n           }\n         ]\n       }}\n    end\n\n    with_mock Datagouvfr.Client.API, get: get_mock do\n      number_new_comments = CommentsChecker.check_for_new_comments()\n\n      assert_email_sent(\n        subject: \"1 nouveaux commentaires sur transport.data.gouv.fr\",\n        to: [{DB.Contact.display_name(contact), contact.email}]\n      )\n\n      assert number_new_comments == 1\n      assert_dataset_ts(dataset_id, ~U[2021-01-01T12:00:00.000200Z])\n    end\n\n    # Logs have been saved\n    assert [\n             %DB.Notification{\n               reason: :daily_new_comments,\n               role: :producer,\n               dataset_id: nil,\n               contact_id: ^contact_id,\n               email: ^email,\n               notification_subscription_id: ^ns_id,\n               payload: %{\"dataset_ids\" => [^dataset_id]}\n             },\n             %DB.Notification{\n               reason: :daily_new_comments,\n               role: :producer,\n               dataset_id: nil,\n               contact_id: ^contact_id,\n               email: ^email,\n               notification_subscription_id: ^ns_id,\n               payload: %{\"dataset_ids\" => [^dataset_id]}\n             }\n           ] = DB.Notification |> DB.Repo.all()\n  end\n\n  test \"does not insert notification logs when there are no new comments\" do\n    latest_ts = DateTime.utc_now()\n    %{datagouv_id: datagouv_id} = insert(:dataset, latest_data_gouv_comment_timestamp: latest_ts)\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, 2, fn :get,\n                              \"https://demo.data.gouv.fr/api/1/discussions/\",\n                              \"\",\n                              [],\n                              [follow_redirect: true, params: %{for: ^datagouv_id}] ->\n      data = %{\n        \"data\" => [\n          %{\n            \"id\" => \"discussion_id_1\",\n            \"discussion\" => [\n              %{\"posted_on\" => DateTime.to_string(latest_ts), \"content\" => \"commentaire 1\"}\n            ]\n          }\n        ]\n      }\n\n      {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(data)}}\n    end)\n\n    assert [{%Dataset{datagouv_id: ^datagouv_id}, ^datagouv_id, _title, [] = _comments}] =\n             CommentsChecker.fetch_new_comments()\n\n    number_new_comments = CommentsChecker.check_for_new_comments()\n\n    assert number_new_comments == 0\n    assert [] == DB.Notification |> DB.Repo.all()\n  end\n\n  test \"get latest comment timestamp\" do\n    discussions = [\n      %{\"posted_on\" => \"2020-05-12T15:07:04.547000+00:00\"},\n      %{\"posted_on\" => \"2021-05-12T15:07:00.547000+00:00\"},\n      %{\"posted_on\" => \"2021-05-12T15:07:04.547000+00:00\"},\n      %{\"posted_on\" => \"2021-05-12T15:06:48.512000+00:00\"}\n    ]\n\n    assert CommentsChecker.comments_latest_timestamp(discussions) ==\n             ~U[2021-05-12 15:07:04Z]\n  end\n\n  test \"timestamp of empty list is nil\" do\n    assert is_nil(CommentsChecker.comments_latest_timestamp([]))\n  end\n\n  test \"timestamp of nil is nil\" do\n    assert is_nil(CommentsChecker.comments_latest_timestamp(nil))\n  end\n\n  test \"fetch comments for datasets posted after timestamp\" do\n    discussions = [\n      %{\"discussion\" => [%{\"posted_on\" => \"2020-05-12T15:07:04.547000+00:00\", \"content\" => \"commentaire 1\"}]},\n      %{\n        \"discussion\" => [\n          %{\"posted_on\" => \"2020-05-12T15:07:00.547000+00:00\", \"content\" => \"commentaire 2\"},\n          %{\"posted_on\" => \"2022-05-12T15:07:04.547000+00:00\", \"content\" => \"commentaire 3\"}\n        ]\n      },\n      %{\"discussion\" => [%{\"posted_on\" => \"2022-05-12T15:06:48.512000+00:00\", \"content\" => \"commentaire 4\"}]}\n    ]\n\n    selected_discussions = CommentsChecker.comments_posted_after(discussions, ~U[2022-01-01 00:00:00.000Z])\n\n    assert selected_discussions |> Enum.frequencies_by(fn d -> d[\"content\"] end) == %{\n             \"commentaire 3\" => 1,\n             \"commentaire 4\" => 1\n           }\n\n    selected_discussions_empty = CommentsChecker.comments_posted_after(discussions, ~U[2023-01-01 00:00:00.000Z])\n    assert selected_discussions_empty == []\n  end\n\n  test \"comments_posted_after with nil timestamp\" do\n    discussions = [\n      %{\"discussion\" => [%{\"posted_on\" => \"2020-05-12T15:07:04.547000+00:00\", \"content\" => \"commentaire 1\"}]},\n      %{\n        \"discussion\" => [\n          %{\"posted_on\" => \"2020-05-12T15:07:00.547000+00:00\", \"content\" => \"commentaire 2\"},\n          %{\"posted_on\" => \"2022-05-12T15:07:04.547000+00:00\", \"content\" => \"commentaire 3\"}\n        ]\n      },\n      %{\"discussion\" => [%{\"posted_on\" => \"2022-05-12T15:06:48.512000+00:00\", \"content\" => \"commentaire 4\"}]}\n    ]\n\n    assert discussions |> CommentsChecker.comments_posted_after(nil) |> Enum.count() == 4\n    assert CommentsChecker.comments_posted_after([], nil) == []\n  end\n\n  test \"comments_posted_after with empty discussions\" do\n    assert CommentsChecker.comments_posted_after([], ~U[2023-01-01 00:00:00.000Z]) == []\n  end\n\n  test \"add a discussion id to comments\" do\n    discussions = [\n      %{\n        \"id\" => \"id1\",\n        \"discussion\" => [%{\"posted_on\" => \"2020-05-12T15:07:04.547000+00:00\", \"content\" => \"commentaire 1\"}]\n      },\n      %{\n        \"id\" => \"id2\",\n        \"discussion\" => [\n          %{\"posted_on\" => \"2020-05-12T15:07:00.547000+00:00\", \"content\" => \"commentaire 2\"},\n          %{\"posted_on\" => \"2022-05-12T15:07:04.547000+00:00\", \"content\" => \"commentaire 3\"}\n        ]\n      }\n    ]\n\n    modified_discussions = CommentsChecker.add_discussion_id_to_comments(discussions)\n\n    assert modified_discussions\n           |> Enum.flat_map(fn d -> d[\"discussion\"] end)\n           |> Enum.frequencies_by(fn comment -> comment[\"discussion_id\"] end) == %{\"id1\" => 1, \"id2\" => 2}\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/community_resource_cleaner_test.exs",
    "content": "defmodule Transport.CommunityResourcesCleanerTest do\n  use ExUnit.Case, async: false\n  import DB.Factory\n  import Transport.CommunityResourcesCleaner\n  alias DB.Repo\n\n  setup do\n    Mox.stub_with(\n      Datagouvfr.Client.CommunityResources.Mock,\n      Datagouvfr.Client.StubCommunityResources\n    )\n\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  defp insert_dataset_associated_with_ressources(resources) do\n    insert_dataset_associated_with_ressources(resources, Ecto.UUID.generate())\n  end\n\n  defp insert_dataset_associated_with_ressources(resources, datagouv_id) do\n    :dataset\n    |> insert(%{datagouv_id: datagouv_id})\n    |> Repo.preload(:resources)\n    |> Ecto.Changeset.change()\n    |> Ecto.Changeset.put_assoc(:resources, resources)\n    |> Repo.update!()\n  end\n\n  test \"community resources published by someone else are ignored\" do\n    resource =\n      insert(:resource, %{\n        community_resource_publisher: \"un autre producteur\",\n        is_community_resource: true,\n        original_resource_url: \"original_url\"\n      })\n\n    insert_dataset_associated_with_ressources([resource])\n    assert [] == list_orphan_community_resources()\n  end\n\n  test \"what happens when a community resource becomes an orphan\" do\n    resource_datagouv_id = \"r1\"\n    dataset_datagouv_id = \"d1\"\n\n    resource_parent =\n      insert(:resource, %{\n        is_community_resource: false,\n        url: \"original_url\"\n      })\n\n    community_resource =\n      insert(:resource, %{\n        is_community_resource: true,\n        community_resource_publisher: transport_publisher_label(),\n        original_resource_url: \"original_url\",\n        datagouv_id: resource_datagouv_id\n      })\n\n    dataset =\n      insert_dataset_associated_with_ressources(\n        [resource_parent, community_resource],\n        dataset_datagouv_id\n      )\n\n    # community_resource is not an orphan\n    assert [] == list_orphan_community_resources()\n\n    # now delete the parent\n    Repo.delete!(resource_parent)\n\n    # the community resource is now an orphan\n    assert [\n             %{\n               dataset_datagouv_id: dataset_datagouv_id,\n               resource_datagouv_id: resource_datagouv_id,\n               dataset_id: dataset.id,\n               resource_id: community_resource.id\n             }\n           ] == list_orphan_community_resources()\n  end\n\n  test \"orphan detection with 2 datasets\" do\n    resource1 =\n      insert(:resource, %{\n        is_community_resource: true,\n        community_resource_publisher: transport_publisher_label(),\n        original_resource_url: \"original_url1\"\n      })\n\n    resource2 =\n      insert(:resource, %{\n        is_community_resource: true,\n        community_resource_publisher: transport_publisher_label(),\n        original_resource_url: \"original_url2\"\n      })\n\n    insert_dataset_associated_with_ressources([resource1])\n    insert_dataset_associated_with_ressources([resource2])\n\n    resources = list_orphan_community_resources() |> Enum.map(& &1.resource_id)\n\n    assert Enum.count(resources) == 2\n    assert Enum.member?(resources, resource1.id) and Enum.member?(resources, resource2.id)\n  end\n\n  test \"clean 2 orphan resources\" do\n    # not an orphan of transport.data.gouv\n    resource10 =\n      insert(:resource, %{\n        is_community_resource: true,\n        community_resource_publisher: \"someone else\",\n        original_resource_url: \"original_url10\"\n      })\n\n    # orphan 1\n    resource11 =\n      insert(:resource, %{\n        is_community_resource: true,\n        community_resource_publisher: transport_publisher_label(),\n        original_resource_url: \"original_url11\"\n      })\n\n    insert_dataset_associated_with_ressources([resource10, resource11])\n\n    # orphan 2\n    resource20 =\n      insert(:resource, %{\n        is_community_resource: true,\n        community_resource_publisher: transport_publisher_label(),\n        original_resource_url: \"original_url20\"\n      })\n\n    insert_dataset_associated_with_ressources([resource20])\n\n    assert {:ok, 2} == clean_community_resources()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/companies_test.exs",
    "content": "defmodule Transport.CompaniesTest do\n  use ExUnit.Case, async: true\n  alias Transport.Companies\n  import Mox\n  doctest Companies, import: true\n\n  @siren \"420495178\"\n  setup :verify_on_exit!\n\n  describe \"by_siren_or_siret\" do\n    test \"validates formats\" do\n      assert {:error, :invalid_siren_siret_format} == Companies.by_siren_or_siret(\"420495179\")\n      assert {:error, :invalid_siren_siret_format} == Companies.by_siren_or_siret(\"42049517800016\")\n      assert {:error, :invalid_siren_siret_format} == Companies.by_siren_or_siret(\"foo\")\n    end\n\n    test \"result is found\" do\n      payload = %{\n        \"results\" => [result = %{\"siren\" => @siren, \"nom_complet\" => \"air france\"}, %{\"siren\" => Ecto.UUID.generate()}]\n      }\n\n      response = {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(payload)}}\n      setup_response_by_siren(@siren, response)\n\n      assert {:ok, result} == Companies.by_siren_or_siret(@siren)\n    end\n\n    test \"providing a valid SIRET searches for the associated SIREN\" do\n      siret = \"42049517800014\"\n      assert String.starts_with?(siret, @siren)\n\n      payload = %{\n        \"results\" => [result = %{\"siren\" => @siren, \"nom_complet\" => \"air france\"}, %{\"siren\" => Ecto.UUID.generate()}]\n      }\n\n      response = {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(payload)}}\n      setup_response_by_siren(@siren, response)\n\n      assert {:ok, result} == Companies.by_siren_or_siret(siret)\n    end\n\n    test \"500 from server\" do\n      response = {:ok, %HTTPoison.Response{status_code: 500}}\n      setup_response_by_siren(@siren, response)\n\n      assert {:error, :invalid_http_response} == Companies.by_siren_or_siret(@siren)\n    end\n\n    test \"200 from server but siren is not found in the results\" do\n      payload = %{\"results\" => [%{\"siren\" => Ecto.UUID.generate(), \"nom_complet\" => \"air france\"}]}\n      response = {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(payload)}}\n      setup_response_by_siren(@siren, response)\n\n      assert {:error, :result_not_found} == Companies.by_siren_or_siret(@siren)\n    end\n\n    test \"timeout from server\" do\n      response = {:error, %HTTPoison.Error{reason: :timeout}}\n      setup_response_by_siren(@siren, response)\n\n      assert {:error, :http_error} == Companies.by_siren_or_siret(@siren)\n    end\n  end\n\n  defp setup_response_by_siren(siren, response) do\n    uri = %URI{\n      scheme: \"https\",\n      host: \"recherche-entreprises.api.gouv.fr\",\n      port: 443,\n      path: \"/search\",\n      query: \"mtm_campaign=transport-data-gouv-fr&q=#{siren}\"\n    }\n\n    Transport.HTTPoison.Mock |> expect(:get, fn ^uri -> response end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/consolidated_dataset_test.exs",
    "content": "defmodule Transport.ConsolidatedDatasetTest do\n  # The trigger refresh_dataset_geographic_view_trigger makes this test\n  # unreliable in a concurrent setup.\n  use ExUnit.Case, async: false\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"Finds the IRVE Dataset\" do\n    %DB.Dataset{id: dataset_id} = insert_irve_dataset()\n    assert %DB.Dataset{id: ^dataset_id} = Transport.ConsolidatedDataset.dataset(:irve)\n  end\n\n  test \"Finds the right resource\" do\n    %DB.Dataset{id: dataset_id} = insert_zfe_dataset()\n    insert(:resource, dataset_id: dataset_id, format: \"csv\", title: \"Identifiants des ZFE\")\n\n    %DB.Resource{id: resource_geojson_id} =\n      insert(:resource, dataset_id: dataset_id, format: \"geojson\", title: \"aires.geojson\")\n\n    assert %DB.Resource{id: ^resource_geojson_id} = Transport.ConsolidatedDataset.resource(:zfe)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/custom_search_message_test.exs",
    "content": "defmodule Transport.CustomSearchMessageTest do\n  use ExUnit.Case, async: true\n  doctest Transport.CustomSearchMessage\n\n  defp space_shuttle do\n    %{\n      \"category\" => \"space-shuttle\",\n      \"search_params\" => [%{\"key\" => \"type\", \"value\" => \"space-shuttle\"}],\n      \"msg\" => %{\n        \"fr\" => \"L'ouverture des données est en cours.\"\n      }\n    }\n  end\n\n  defp teleportation do\n    %{\n      \"category\" => \"teleportation\",\n      \"search_params\" => [%{\"key\" => \"type\", \"value\" => \"teleportation\"}, %{\"key\" => \"filter\", \"value\" => \"real_time\"}],\n      \"msg\" => %{\n        \"fr\" => \"Ne bougez pas.\"\n      }\n    }\n  end\n\n  defp jetski do\n    %{\n      \"category\" => \"jetski\",\n      \"search_params\" => [%{\"key\" => \"modes\", \"value\" => [\"jetski\"]}, %{\"key\" => \"type\", \"value\" => \"boat\"}],\n      \"msg\" => %{\n        \"fr\" => \"accrochez vous\",\n        \"en\" => \"hold on\"\n      }\n    }\n  end\n\n  test \"all messages have a french AND an english content\" do\n    Transport.CustomSearchMessage.get_messages()\n    |> Enum.each(fn %{\"msg\" => msg, \"category\" => category} ->\n      assert is_binary(msg[\"fr\"]), \"fr message is missing for category #{category}\"\n      assert is_binary(msg[\"en\"]), \"en message is missing for category #{category}\"\n    end)\n  end\n\n  test \"find a category for a simple query\" do\n    messages = [space_shuttle(), teleportation()]\n    locale = \"fr\"\n\n    msg =\n      Transport.CustomSearchMessage.filter_messages(\n        messages,\n        %{\"type\" => \"teleportation\", \"filter\" => \"real_time\"},\n        locale\n      )\n\n    assert msg == \"Ne bougez pas.\"\n  end\n\n  test \"no matching category\" do\n    messages = [space_shuttle(), teleportation()]\n    locale = \"fr\"\n\n    msg =\n      Transport.CustomSearchMessage.filter_messages(\n        messages,\n        %{\"type\" => \"boat\"},\n        locale\n      )\n\n    assert is_nil(msg)\n  end\n\n  test \"query special case with array, fetch english message\" do\n    messages = [space_shuttle(), jetski()]\n    locale = \"en\"\n\n    msg =\n      Transport.CustomSearchMessage.filter_messages(\n        messages,\n        %{\"type\" => \"boat\", \"modes\" => [\"jetski\"]},\n        locale\n      )\n\n    assert msg == \"hold on\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/data_checker_test.exs",
    "content": "defmodule Transport.DataCheckerTest do\n  use ExUnit.Case, async: true\n  import Mox\n  import DB.Factory\n  import Swoosh.TestAssertions\n\n  setup :verify_on_exit!\n\n  setup do\n    # Using the real implementation for the moment, then it falls back on `HTTPoison.Mock`\n    Mox.stub_with(Datagouvfr.Client.Datasets.Mock, Datagouvfr.Client.Datasets.External)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  describe \"inactive_data job\" do\n    test \"warns our team of datasets reappearing on data gouv and reactivates them locally\" do\n      # we create a dataset which is considered not active on our side\n      dataset = insert(:dataset, is_active: false)\n\n      # the dataset is found on datagouv\n      setup_datagouv_response(dataset, 200, %{archived: nil})\n\n      # running the job\n      Transport.DataChecker.inactive_data()\n\n      assert_email_sent(\n        from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n        to: \"contact@transport.data.gouv.fr\",\n        subject: \"Jeux de données supprimés ou archivés\",\n        text_body: nil,\n        html_body: ~r/Certains jeux de données disparus sont réapparus sur data.gouv.fr/\n      )\n\n      # should result into marking the dataset back as active\n      assert %DB.Dataset{is_active: true} = DB.Repo.reload!(dataset)\n    end\n\n    test \"warns our team of datasets disappearing on data gouv and mark them as such locally\" do\n      # Create a bunch of random datasets to avoid triggering the safety net\n      # of desactivating more than 10% of active datasets\n      Enum.each(1..25, fn _ ->\n        dataset = insert(:dataset, is_active: true, datagouv_id: Ecto.UUID.generate())\n        setup_datagouv_response(dataset, 200, %{archived: nil})\n      end)\n\n      # Getting timeout errors, should be ignored\n      dataset_http_error = insert(:dataset, is_active: true, datagouv_id: Ecto.UUID.generate())\n      api_url = \"https://demo.data.gouv.fr/api/1/datasets/#{dataset_http_error.datagouv_id}/\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:request, 3, fn :get, ^api_url, \"\", [], [follow_redirect: true] ->\n        {:error, %HTTPoison.Error{reason: :timeout}}\n      end)\n\n      # We create a dataset which is considered active on our side\n      # but which is not found (=> inactive) on data gouv side\n      dataset = insert(:dataset, is_active: true, datagouv_id: Ecto.UUID.generate())\n      setup_datagouv_response(dataset, 404, %{})\n\n      # We create a dataset which is considered active on our side\n      # but we get a 500 error on data gouv side => we should not deactivate it\n      dataset_500 = insert(:dataset, is_active: true, datagouv_id: Ecto.UUID.generate())\n\n      setup_datagouv_response(dataset_500, 500, %{})\n\n      # we create a dataset which is considered active on our side\n      # but private on datagouv, resulting on a HTTP code 410\n      dataset_410 = insert(:dataset, is_active: true)\n\n      setup_datagouv_response(dataset_410, 410, %{})\n\n      # This dataset does not have a producer anymore\n      dataset_no_producer = insert(:dataset, is_active: true)\n\n      setup_datagouv_response(dataset_no_producer, 200, %{owner: nil, organization: nil, archived: nil})\n\n      # running the job\n      Transport.DataChecker.inactive_data()\n\n      assert_email_sent(\n        from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n        to: \"contact@transport.data.gouv.fr\",\n        subject: \"Jeux de données supprimés ou archivés\",\n        text_body: nil,\n        html_body: ~r/Certains jeux de données ont disparus de data.gouv.fr/\n      )\n\n      # should result into marking the dataset as inactive\n      assert %DB.Dataset{is_active: false} = DB.Repo.reload!(dataset)\n      # we got HTTP timeout errors: we should not deactivate the dataset\n      assert %DB.Dataset{is_active: true} = DB.Repo.reload!(dataset_http_error)\n      # we got a 500 error: we should not deactivate the dataset\n      assert %DB.Dataset{is_active: true} = DB.Repo.reload!(dataset_500)\n      # we got a 410 GONE HTTP code: we should deactivate the dataset\n      assert %DB.Dataset{is_active: false} = DB.Repo.reload!(dataset_410)\n      # no owner or organization: we should deactivate the dataset\n      assert %DB.Dataset{is_active: false} = DB.Repo.reload!(dataset_no_producer)\n    end\n\n    test \"sends an email when a dataset is now archived\" do\n      dataset = insert(:dataset, is_active: true)\n\n      setup_datagouv_response(dataset, 200, %{archived: DateTime.utc_now() |> DateTime.add(-10, :hour)})\n\n      Transport.DataChecker.inactive_data()\n\n      assert_email_sent(\n        from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n        to: \"contact@transport.data.gouv.fr\",\n        subject: \"Jeux de données supprimés ou archivés\",\n        text_body: nil,\n        html_body: ~r/Certains jeux de données sont indiqués comme archivés/\n      )\n    end\n\n    test \"does not send email if nothing has disappeared or reappeared\" do\n      assert DB.Repo.aggregate(DB.Dataset, :count) == 0\n\n      Transport.HTTPoison.Mock\n      |> expect(:head, 0, fn _ -> nil end)\n\n      Transport.DataChecker.inactive_data()\n\n      assert_no_email_sent()\n    end\n  end\n\n  describe \"dataset_status\" do\n    test \"active\" do\n      dataset = %DB.Dataset{datagouv_id: Ecto.UUID.generate()}\n\n      setup_datagouv_response(dataset, 200, %{archived: nil})\n\n      assert :active = Transport.DataChecker.dataset_status(dataset)\n    end\n\n    test \"archived\" do\n      dataset = %DB.Dataset{datagouv_id: Ecto.UUID.generate()}\n\n      setup_datagouv_response(dataset, 200, %{archived: datetime = DateTime.utc_now()})\n\n      assert {:archived, datetime} == Transport.DataChecker.dataset_status(dataset)\n    end\n\n    test \"inactive\" do\n      dataset = %DB.Dataset{datagouv_id: Ecto.UUID.generate()}\n\n      Enum.each([404, 410], fn status ->\n        setup_datagouv_response(dataset, status, %{})\n\n        assert :inactive = Transport.DataChecker.dataset_status(dataset)\n      end)\n    end\n\n    test \"no_producer\" do\n      dataset = %DB.Dataset{datagouv_id: Ecto.UUID.generate()}\n\n      setup_datagouv_response(dataset, 200, %{owner: nil, organization: nil, archived: nil})\n\n      assert :no_producer = Transport.DataChecker.dataset_status(dataset)\n    end\n\n    test \"ignore\" do\n      dataset = %DB.Dataset{datagouv_id: datagouv_id = Ecto.UUID.generate()}\n      url = \"https://demo.data.gouv.fr/api/1/datasets/#{datagouv_id}/\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:request, 3, fn :get, ^url, \"\", [], [follow_redirect: true] ->\n        {:error, %HTTPoison.Error{reason: :timeout}}\n      end)\n\n      assert :ignore = Transport.DataChecker.dataset_status(dataset)\n    end\n  end\n\n  defp setup_datagouv_response(%DB.Dataset{datagouv_id: datagouv_id}, status, body) do\n    url = \"https://demo.data.gouv.fr/api/1/datasets/#{datagouv_id}/\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, ^url, \"\", [], [follow_redirect: true] ->\n      {:ok, %HTTPoison.Response{status_code: status, body: Jason.encode!(body)}}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/data_frame/validation_primitives_test.exs",
    "content": "defmodule Transport.DataFrame.Validation.PrimitivesTest do\n  use ExUnit.Case, async: true\n\n  alias Explorer.Series\n\n  def build_series(values) do\n    Series.from_list(values)\n  end\n\n  doctest Transport.DataFrame.Validation.Primitives, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/transport/dataset_checks_test.exs",
    "content": "defmodule Transport.DatasetChecksTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"check\" do\n    test \"producer\" do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      %DB.Dataset{organization_id: organization_id, datagouv_id: datagouv_id} = dataset = insert(:dataset)\n      %DB.Resource{id: r1_id} = insert(:resource, dataset: dataset, is_available: false)\n      insert(:resource, dataset: dataset, is_available: true)\n\n      %{resource: %{id: r3_id}, multi_validation: %{id: mv1_id}} =\n        insert_resource_and_friends(Date.utc_today(), dataset: dataset)\n\n      %{resource: %{id: r4_id}, multi_validation: %{id: mv2_id}} =\n        insert_resource_and_friends(Date.add(Date.utc_today(), 10), dataset: dataset, max_error: \"Error\")\n\n      Datagouvfr.Client.Organization.Mock\n      |> expect(:get, fn ^organization_id, [restrict_fields: true] ->\n        {:ok, %{\"members\" => [%{\"user\" => %{\"id\" => contact.datagouv_user_id}}]}}\n      end)\n\n      discussion = %{\n        \"closed\" => nil,\n        \"discussion\" => [\n          %{\"posted_on\" => DateTime.utc_now() |> DateTime.to_iso8601(), \"posted_by\" => %{\"id\" => Ecto.UUID.generate()}}\n        ]\n      }\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn ^datagouv_id -> [discussion] end)\n\n      result = Transport.DatasetChecks.check(dataset, :producer)\n\n      assert %{\n               unavailable_resource: [%DB.Resource{id: ^r1_id, is_available: false}],\n               expiring_resource: [{%DB.Resource{id: ^r3_id}, [%DB.MultiValidation{id: ^mv1_id}]}],\n               invalid_resource: [\n                 {%DB.Resource{id: ^r4_id},\n                  [%DB.MultiValidation{id: ^mv2_id, digest: %{\"max_severity\" => %{\"max_level\" => \"Error\"}}}]}\n               ],\n               unanswered_discussions: [^discussion]\n             } = result\n\n      assert Transport.DatasetChecks.count_issues(result) == 4\n    end\n\n    test \"reuser\" do\n      insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      %DB.Dataset{datagouv_id: datagouv_id} = dataset = insert(:dataset)\n      %DB.Resource{id: r1_id} = insert(:resource, dataset: dataset, is_available: false)\n      insert(:resource, dataset: dataset, is_available: true)\n\n      %{resource: %{id: r3_id}, multi_validation: %{id: mv1_id}} =\n        insert_resource_and_friends(Date.utc_today(), dataset: dataset)\n\n      %{resource: %{id: r4_id}, multi_validation: %{id: mv2_id}} =\n        insert_resource_and_friends(Date.add(Date.utc_today(), 10), dataset: dataset, max_error: \"Error\")\n\n      discussion = %{\n        \"closed\" => nil,\n        \"discussion\" => [\n          %{\"posted_on\" => DateTime.utc_now() |> DateTime.to_iso8601()}\n        ]\n      }\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn ^datagouv_id -> [discussion] end)\n\n      result = Transport.DatasetChecks.check(dataset, :reuser)\n\n      assert %{\n               unavailable_resource: [%DB.Resource{id: ^r1_id, is_available: false}],\n               expiring_resource: [{%DB.Resource{id: ^r3_id}, [%DB.MultiValidation{id: ^mv1_id}]}],\n               invalid_resource: [\n                 {%DB.Resource{id: ^r4_id},\n                  [%DB.MultiValidation{id: ^mv2_id, digest: %{\"max_severity\" => %{\"max_level\" => \"Error\"}}}]}\n               ],\n               recent_discussions: [^discussion]\n             } = result\n\n      assert Transport.DatasetChecks.count_issues(result) == 4\n    end\n  end\n\n  test \"issue_name\" do\n    dataset = insert(:dataset)\n\n    Datagouvfr.Client.Organization.Mock\n    |> expect(:get, fn _organization_id, [restrict_fields: true] -> {:ok, %{\"members\" => []}} end)\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n    Transport.DatasetChecks.check(dataset, :producer)\n    |> Map.keys()\n    |> Enum.each(&Transport.DatasetChecks.issue_name/1)\n  end\n\n  test \"invalid_resource for a GTFS-RT\" do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset)\n\n    too_few_errors = [\n      %{\"error_id\" => \"E003\", \"errors_count\" => 10},\n      %{\"error_id\" => \"E004\", \"errors_count\" => 20},\n      %{\"error_id\" => \"E011\", \"errors_count\" => 10}\n    ]\n\n    errors = too_few_errors ++ [%{\"error_id\" => \"E034\", \"errors_count\" => 10}]\n\n    gtfs_rt_validator = Transport.Validators.GTFSRT.validator_name()\n\n    mv1 = %DB.MultiValidation{validator: gtfs_rt_validator, result: %{\"errors\" => too_few_errors}}\n    mv2 = %{mv1 | result: %{\"errors\" => errors}}\n    mv_fatal = %{mv1 | result: %{\"errors\" => [%{\"error_id\" => \"FATAL\", \"errors_count\" => 1}]}}\n\n    dataset = dataset |> DB.Repo.preload(:resources)\n\n    assert [] == dataset |> Transport.DatasetChecks.invalid_resource(%{resource.id => [mv1]})\n    assert [{_, [^mv2]}] = dataset |> Transport.DatasetChecks.invalid_resource(%{resource.id => [mv2]})\n    assert [{_, [^mv_fatal]}] = dataset |> Transport.DatasetChecks.invalid_resource(%{resource.id => [mv_fatal]})\n  end\n\n  test \"invalid_resource for a GTFS-RT at the check level\" do\n    dataset = insert(:dataset)\n    %{id: resource_id} = resource = insert(:resource, dataset: dataset)\n    resource_history = insert(:resource_history, resource: resource)\n\n    errors = [\n      %{\"error_id\" => \"E003\", \"errors_count\" => 10},\n      %{\"error_id\" => \"E004\", \"errors_count\" => 20},\n      %{\"error_id\" => \"E011\", \"errors_count\" => 10},\n      %{\"error_id\" => \"E034\", \"errors_count\" => 10}\n    ]\n\n    %{id: mv_id} =\n      insert(:multi_validation,\n        validator: Transport.Validators.GTFSRT.validator_name(),\n        result: %{\"errors\" => errors},\n        resource_history: resource_history\n      )\n\n    Datagouvfr.Client.Organization.Mock\n    |> expect(:get, fn _organization_id, [restrict_fields: true] -> {:ok, %{\"members\" => []}} end)\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n    assert %{invalid_resource: [{%DB.Resource{id: ^resource_id}, [%DB.MultiValidation{id: ^mv_id}]}]} =\n             Transport.DatasetChecks.check(dataset, :producer)\n  end\n\n  test \"has_issues?/1 and count_issues/1\" do\n    d1 = insert(:dataset)\n    d2 = insert(:dataset)\n    insert(:resource, dataset: d2, is_available: false)\n\n    Datagouvfr.Client.Organization.Mock\n    |> expect(:get, 2, fn _organization_id, [restrict_fields: true] -> {:ok, %{\"members\" => []}} end)\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, 2, fn _datagouv_id -> [] end)\n\n    result = Transport.DatasetChecks.check(d1, :producer)\n    refute result |> Transport.DatasetChecks.has_issues?()\n    assert Transport.DatasetChecks.count_issues(result) == 0\n\n    result = Transport.DatasetChecks.check(d2, :producer)\n    assert result |> Transport.DatasetChecks.has_issues?()\n    assert Transport.DatasetChecks.count_issues(result) == 1\n  end\n\n  test \"unanswered_discussions\" do\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n    %DB.Dataset{organization_id: organization_id, datagouv_id: datagouv_id} = dataset = insert(:dataset)\n\n    Datagouvfr.Client.Organization.Mock\n    |> expect(:get, fn ^organization_id, [restrict_fields: true] ->\n      {:ok, %{\"members\" => [%{\"user\" => %{\"id\" => contact.datagouv_user_id}}]}}\n    end)\n\n    discussion_by_contact = %{\n      \"closed\" => nil,\n      \"discussion\" => [\n        %{\n          \"posted_on\" => DateTime.utc_now() |> DateTime.to_iso8601(),\n          \"posted_by\" => %{\"id\" => contact.datagouv_user_id}\n        }\n      ]\n    }\n\n    discussion_too_old = %{\n      \"closed\" => nil,\n      \"discussion\" => [\n        %{\n          \"posted_on\" => DateTime.utc_now() |> DateTime.add(-31, :day) |> DateTime.to_iso8601(),\n          \"posted_by\" => %{\"id\" => Ecto.UUID.generate()}\n        }\n      ]\n    }\n\n    unanswered_discussion = %{\n      \"closed\" => nil,\n      \"discussion\" => [\n        %{\n          \"posted_on\" => DateTime.utc_now() |> DateTime.add(-20, :day) |> DateTime.to_iso8601(),\n          \"posted_by\" => %{\"id\" => Ecto.UUID.generate()}\n        }\n      ]\n    }\n\n    closed_discussion = %{unanswered_discussion | \"closed\" => DateTime.utc_now() |> DateTime.to_iso8601()}\n\n    Datagouvfr.Client.Discussions.Mock\n    |> expect(:get, fn ^datagouv_id ->\n      [\n        discussion_by_contact,\n        discussion_too_old,\n        unanswered_discussion,\n        closed_discussion\n      ]\n    end)\n\n    assert Transport.DatasetChecks.discussion_since(discussion_by_contact, 30)\n    assert Transport.DatasetChecks.discussion_since(unanswered_discussion, 30)\n    refute Transport.DatasetChecks.discussion_since(discussion_too_old, 30)\n\n    assert Transport.DatasetChecks.answered_by_team_member(discussion_by_contact, [contact.datagouv_user_id])\n    refute Transport.DatasetChecks.answered_by_team_member(discussion_too_old, [contact.datagouv_user_id])\n    refute Transport.DatasetChecks.answered_by_team_member(unanswered_discussion, [contact.datagouv_user_id])\n\n    assert [unanswered_discussion] == Transport.DatasetChecks.unanswered_discussions(dataset)\n  end\n\n  test \"recent_discussions\" do\n    %DB.Dataset{datagouv_id: datagouv_id} = dataset = insert(:dataset)\n\n    discussion = %{\n      \"discussion\" => [%{\"posted_on\" => DateTime.utc_now() |> DateTime.to_iso8601()}]\n    }\n\n    discussion_too_old = %{\n      \"discussion\" => [%{\"posted_on\" => DateTime.utc_now() |> DateTime.add(-8, :day) |> DateTime.to_iso8601()}]\n    }\n\n    Datagouvfr.Client.Discussions.Mock\n    |> expect(:get, fn ^datagouv_id -> [discussion, discussion_too_old] end)\n\n    assert [discussion] == Transport.DatasetChecks.recent_discussions(dataset)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/dataset_index_test.exs",
    "content": "defmodule Transport.DatasetIndexTest do\n  use ExUnit.Case, async: false\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"build_index\" do\n    test \"indexes active datasets with their facets\" do\n      dataset =\n        insert(:dataset,\n          type: \"public-transit\",\n          licence: \"fr-lo\",\n          has_realtime: true,\n          is_active: true,\n          is_hidden: false\n        )\n\n      insert(:resource, dataset: dataset, format: \"GTFS\")\n      insert(:resource, dataset: dataset, format: \"NeTEx\")\n\n      index = Transport.DatasetIndex.build_index()\n\n      assert Map.has_key?(index, dataset.id)\n\n      entry = Map.fetch!(index, dataset.id)\n      assert entry.type == \"public-transit\"\n      assert entry.licence == \"fr-lo\"\n      assert entry.has_realtime == true\n      assert entry.formats == [\"GTFS\", \"NeTEx\"]\n    end\n\n    test \"excludes inactive datasets\" do\n      insert(:dataset, is_active: false)\n\n      index = Transport.DatasetIndex.build_index()\n      assert index == %{}\n    end\n\n    test \"excludes hidden datasets\" do\n      insert(:dataset, is_active: true, is_hidden: true)\n\n      index = Transport.DatasetIndex.build_index()\n      assert index == %{}\n    end\n\n    test \"excludes community resources from formats\" do\n      dataset = insert(:dataset)\n      insert(:resource, dataset: dataset, format: \"GTFS\")\n      insert(:resource, dataset: dataset, format: \"csv\", is_community_resource: true)\n\n      index = Transport.DatasetIndex.build_index()\n\n      assert Map.fetch!(index, dataset.id).formats == [\"GTFS\"]\n    end\n\n    test \"indexes custom_tags and organization_id\" do\n      %DB.Organization{id: org_id} = insert(:organization)\n\n      dataset =\n        insert(:dataset,\n          custom_tags: [\"foo\", \"bar\"],\n          organization_id: org_id\n        )\n\n      index = Transport.DatasetIndex.build_index()\n      entry = Map.fetch!(index, dataset.id)\n\n      assert entry.custom_tags == [\"foo\", \"bar\"]\n      assert entry.organization_id == org_id\n    end\n\n    test \"indexes population, custom_title, inserted_at, datagouv_title\" do\n      dataset = insert(:dataset, population: 42, custom_title: \"My Title\", datagouv_title: \"DG Title\")\n\n      index = Transport.DatasetIndex.build_index()\n      entry = Map.fetch!(index, dataset.id)\n\n      assert entry.population == 42\n      assert entry.custom_title == \"My Title\"\n      assert entry.datagouv_title == \"DG Title\"\n      assert entry.inserted_at == dataset.inserted_at\n    end\n\n    test \"indexes modes from resource counter_cache\" do\n      dataset = insert(:dataset)\n      insert(:resource, dataset: dataset, counter_cache: %{gtfs_modes: [\"bus\", \"tramway\"]})\n      insert(:resource, dataset: dataset, counter_cache: %{gtfs_modes: [\"bus\", \"ferry\"]})\n\n      index = Transport.DatasetIndex.build_index()\n      entry = Map.fetch!(index, dataset.id)\n\n      assert Enum.sort(entry.modes) == [\"bus\", \"ferry\", \"tramway\"]\n    end\n\n    test \"indexes offer identifiers\" do\n      offer1 = insert(:offer)\n      offer2 = insert(:offer)\n      dataset = insert(:dataset, offers: [offer1, offer2])\n\n      index = Transport.DatasetIndex.build_index()\n      entry = Map.fetch!(index, dataset.id)\n\n      assert Enum.sort(entry.offer_ids) == Enum.sort([offer1.identifiant_offre, offer2.identifiant_offre])\n    end\n\n    test \"excludes archived datasets\" do\n      insert(:dataset, is_active: true, archived_at: DateTime.utc_now())\n\n      index = Transport.DatasetIndex.build_index()\n      assert index == %{}\n    end\n\n    test \"indexes dataset subtypes\" do\n      ds_urban = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"urban\")\n      ds_intercity = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"intercity\")\n\n      dataset =\n        insert(:dataset,\n          type: \"public-transit\",\n          is_active: true,\n          is_hidden: false,\n          dataset_subtypes: [ds_urban, ds_intercity]\n        )\n\n      index = Transport.DatasetIndex.build_index()\n\n      entry = Map.fetch!(index, dataset.id)\n      assert Enum.sort(entry.subtypes) == [\"intercity\", \"urban\"]\n    end\n  end\n\n  describe \"facet computation\" do\n    test \"types\" do\n      d1 = insert(:dataset, type: \"public-transit\")\n      d2 = insert(:dataset, type: \"public-transit\")\n      d3 = insert(:dataset, type: \"road-data\")\n\n      index = Transport.DatasetIndex.build_index()\n      result = Transport.DatasetIndex.types(index, [d1.id, d2.id, d3.id])\n\n      assert Enum.sort_by(result, & &1.type) == [\n               %{type: \"public-transit\", count: 2, msg: \"Transport public collectif\"},\n               %{type: \"road-data\", count: 1, msg: \"Données routières\"}\n             ]\n    end\n\n    test \"licences groups fr-lo and lov2 into licence-ouverte\" do\n      d1 = insert(:dataset, licence: \"fr-lo\")\n      d2 = insert(:dataset, licence: \"lov2\")\n      d3 = insert(:dataset, licence: \"mobility-licence\")\n\n      index = Transport.DatasetIndex.build_index()\n      result = Transport.DatasetIndex.licences(index, [d1.id, d2.id, d3.id])\n\n      assert result == [\n               %{licence: \"licence-ouverte\", count: 2},\n               %{licence: \"mobility-licence\", count: 1}\n             ]\n    end\n\n    test \"realtime_count\" do\n      d1 = insert(:dataset, has_realtime: true)\n      d2 = insert(:dataset, has_realtime: false)\n      d3 = insert(:dataset, has_realtime: true)\n\n      index = Transport.DatasetIndex.build_index()\n      result = Transport.DatasetIndex.realtime_count(index, [d1.id, d2.id, d3.id])\n\n      assert result == %{all: 3, true: 2}\n    end\n\n    test \"resource_format_count\" do\n      d1 = insert(:dataset)\n      insert(:resource, dataset: d1, format: \"GTFS\")\n      insert(:resource, dataset: d1, format: \"NeTEx\")\n      d2 = insert(:dataset)\n      insert(:resource, dataset: d2, format: \"GTFS\")\n\n      index = Transport.DatasetIndex.build_index()\n      result = Transport.DatasetIndex.resource_format_count(index, [d1.id, d2.id])\n\n      assert Enum.find(result, fn {k, _} -> k == :all end) == {:all, 2}\n      assert Enum.find(result, fn {k, _} -> k == \"GTFS\" end) == {\"GTFS\", 2}\n      assert Enum.find(result, fn {k, _} -> k == \"NeTEx\" end) == {\"NeTEx\", 1}\n    end\n\n    test \"facets only count requested dataset IDs\" do\n      d1 = insert(:dataset, type: \"public-transit\")\n      _d2 = insert(:dataset, type: \"road-data\")\n\n      index = Transport.DatasetIndex.build_index()\n      result = Transport.DatasetIndex.types(index, [d1.id])\n\n      assert result == [%{type: \"public-transit\", count: 1, msg: \"Transport public collectif\"}]\n    end\n\n    test \"filter_dataset_ids by type\" do\n      d1 = insert(:dataset, type: \"public-transit\")\n      _d2 = insert(:dataset, type: \"road-data\")\n\n      index = Transport.DatasetIndex.build_index()\n      ids = Transport.DatasetIndex.filter_dataset_ids(index, %{\"type\" => \"public-transit\"})\n      assert ids == [d1.id]\n    end\n\n    test \"filter_dataset_ids by subtype\" do\n      ds_urban = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"urban\")\n      d1 = insert(:dataset, type: \"public-transit\", dataset_subtypes: [ds_urban])\n      _d2 = insert(:dataset, type: \"public-transit\", dataset_subtypes: [])\n\n      index = Transport.DatasetIndex.build_index()\n      ids = Transport.DatasetIndex.filter_dataset_ids(index, %{\"subtype\" => \"urban\"})\n      assert ids == [d1.id]\n    end\n\n    test \"filter_dataset_ids by licence (licence-ouverte groups fr-lo and lov2)\" do\n      d1 = insert(:dataset, licence: \"fr-lo\")\n      d2 = insert(:dataset, licence: \"lov2\")\n      _d3 = insert(:dataset, licence: \"odc-odbl\")\n\n      index = Transport.DatasetIndex.build_index()\n      ids = Transport.DatasetIndex.filter_dataset_ids(index, %{\"licence\" => \"licence-ouverte\"})\n      assert Enum.sort(ids) == Enum.sort([d1.id, d2.id])\n    end\n\n    test \"filter_dataset_ids by has_realtime\" do\n      d1 = insert(:dataset, has_realtime: true)\n      _d2 = insert(:dataset, has_realtime: false)\n\n      index = Transport.DatasetIndex.build_index()\n      ids = Transport.DatasetIndex.filter_dataset_ids(index, %{\"filter\" => \"has_realtime\"})\n      assert ids == [d1.id]\n    end\n\n    test \"filter_dataset_ids by format\" do\n      d1 = insert(:dataset)\n      insert(:resource, dataset: d1, format: \"GTFS\")\n      d2 = insert(:dataset)\n      insert(:resource, dataset: d2, format: \"gbfs\")\n\n      index = Transport.DatasetIndex.build_index()\n      ids = Transport.DatasetIndex.filter_dataset_ids(index, %{\"format\" => \"GTFS\"})\n      assert ids == [d1.id]\n    end\n\n    test \"filter_dataset_ids by custom_tag\" do\n      d1 = insert(:dataset, custom_tags: [\"foo\", \"bar\"])\n      _d2 = insert(:dataset, custom_tags: [\"baz\"])\n\n      index = Transport.DatasetIndex.build_index()\n      ids = Transport.DatasetIndex.filter_dataset_ids(index, %{\"custom_tag\" => \"foo\"})\n      assert ids == [d1.id]\n    end\n\n    test \"filter_dataset_ids by organization_id\" do\n      %DB.Organization{id: org_id} = insert(:organization)\n      d1 = insert(:dataset, organization_id: org_id)\n      _d2 = insert(:dataset)\n\n      index = Transport.DatasetIndex.build_index()\n      ids = Transport.DatasetIndex.filter_dataset_ids(index, %{\"organization_id\" => to_string(org_id)})\n      assert ids == [d1.id]\n    end\n\n    test \"filter_dataset_ids with combined filters\" do\n      d1 = insert(:dataset, type: \"public-transit\", licence: \"fr-lo\", has_realtime: true)\n      _d2 = insert(:dataset, type: \"public-transit\", licence: \"fr-lo\", has_realtime: false)\n      _d3 = insert(:dataset, type: \"road-data\", licence: \"fr-lo\", has_realtime: true)\n\n      index = Transport.DatasetIndex.build_index()\n\n      ids =\n        Transport.DatasetIndex.filter_dataset_ids(index, %{\n          \"type\" => \"public-transit\",\n          \"licence\" => \"licence-ouverte\",\n          \"filter\" => \"has_realtime\"\n        })\n\n      assert ids == [d1.id]\n    end\n\n    test \"filter_dataset_ids by modes\" do\n      d1 = insert(:dataset)\n      insert(:resource, dataset: d1, counter_cache: %{gtfs_modes: [\"bus\", \"tramway\"]})\n      d2 = insert(:dataset)\n      insert(:resource, dataset: d2, counter_cache: %{gtfs_modes: [\"bus\"]})\n      _d3 = insert(:dataset)\n\n      index = Transport.DatasetIndex.build_index()\n      ids = Transport.DatasetIndex.filter_dataset_ids(index, %{\"modes\" => [\"bus\"]})\n      assert Enum.sort(ids) == Enum.sort([d1.id, d2.id])\n\n      ids = Transport.DatasetIndex.filter_dataset_ids(index, %{\"modes\" => [\"tramway\"]})\n      assert ids == [d1.id]\n    end\n\n    test \"filter_dataset_ids by identifiant_offre\" do\n      offer = insert(:offer)\n      d1 = insert(:dataset, offers: [offer])\n      _d2 = insert(:dataset)\n\n      index = Transport.DatasetIndex.build_index()\n\n      ids =\n        Transport.DatasetIndex.filter_dataset_ids(index, %{\"identifiant_offre\" => to_string(offer.identifiant_offre)})\n\n      assert ids == [d1.id]\n    end\n\n    test \"filter_dataset_ids with no filters returns all\" do\n      d1 = insert(:dataset)\n      d2 = insert(:dataset)\n\n      index = Transport.DatasetIndex.build_index()\n      ids = Transport.DatasetIndex.filter_dataset_ids(index, %{})\n      assert Enum.sort(ids) == Enum.sort([d1.id, d2.id])\n    end\n\n    test \"subtypes counts correctly filtered by parent_type\" do\n      ds_urban = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"urban\")\n      ds_intercity = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"intercity\")\n      ds_bicycle = insert(:dataset_subtype, parent_type: \"vehicles-sharing\", slug: \"bicycle\")\n\n      d1 = insert(:dataset, type: \"public-transit\", dataset_subtypes: [ds_urban])\n      d2 = insert(:dataset, type: \"public-transit\", dataset_subtypes: [ds_urban, ds_intercity])\n      d3 = insert(:dataset, type: \"vehicles-sharing\", dataset_subtypes: [ds_bicycle])\n\n      index = Transport.DatasetIndex.build_index()\n\n      # d2 has both urban and intercity: all count should be 2 (distinct datasets), not 3\n      pt_result = Transport.DatasetIndex.subtypes(index, [d1.id, d2.id, d3.id], \"public-transit\")\n\n      assert pt_result.all == 2\n\n      assert Enum.sort_by(pt_result.subtypes, & &1.subtype) == [\n               %{subtype: \"intercity\", count: 1, msg: DB.Dataset.subtype_to_str(\"intercity\")},\n               %{subtype: \"urban\", count: 2, msg: DB.Dataset.subtype_to_str(\"urban\")}\n             ]\n\n      vs_result = Transport.DatasetIndex.subtypes(index, [d1.id, d2.id, d3.id], \"vehicles-sharing\")\n\n      assert vs_result == %{\n               all: 1,\n               subtypes: [%{subtype: \"bicycle\", count: 1, msg: DB.Dataset.subtype_to_str(\"bicycle\")}]\n             }\n    end\n  end\n\n  describe \"order_dataset_ids\" do\n    test \"order_by alpha sorts by custom_title ASC\" do\n      d1 = insert(:dataset, custom_title: \"B dataset\")\n      d2 = insert(:dataset, custom_title: \"A dataset\")\n\n      index = Transport.DatasetIndex.build_index()\n      ids = [d1.id, d2.id]\n      sorted = Transport.DatasetIndex.order_dataset_ids(ids, index, %{\"order_by\" => \"alpha\"})\n      assert sorted == [d2.id, d1.id]\n    end\n\n    test \"order_by most_recent sorts by inserted_at DESC with nulls last\" do\n      today = DateTime.utc_now()\n      last_week = DateTime.add(today, -7, :day)\n\n      d1 = insert(:dataset, inserted_at: last_week)\n      d2 = insert(:dataset, inserted_at: today)\n      d3 = insert(:dataset) |> Ecto.Changeset.change(%{inserted_at: nil}) |> DB.Repo.update!()\n\n      index = Transport.DatasetIndex.build_index()\n      ids = [d1.id, d2.id, d3.id]\n      sorted = Transport.DatasetIndex.order_dataset_ids(ids, index, %{\"order_by\" => \"most_recent\"})\n      assert sorted == [d2.id, d1.id, d3.id]\n    end\n\n    test \"order_by most_recent correctly orders dates across month boundaries\" do\n      # March 1 (day=1) is more recent than February 28 (day=28).\n      # A naive DateTime struct comparison compares the `day` field first\n      # (alphabetically the 3rd key), giving 28 > 1 and putting Feb 28 before\n      # March 1 — which is wrong. This test guards against that regression.\n      feb_28 = ~U[2024-02-28 12:00:00Z]\n      mar_1 = ~U[2024-03-01 12:00:00Z]\n\n      d1 = insert(:dataset, inserted_at: feb_28)\n      d2 = insert(:dataset, inserted_at: mar_1)\n\n      index = Transport.DatasetIndex.build_index()\n      sorted = Transport.DatasetIndex.order_dataset_ids([d1.id, d2.id], index, %{\"order_by\" => \"most_recent\"})\n      # d2 (March 1) is more recent and must come first\n      assert sorted == [d2.id, d1.id]\n    end\n\n    test \"default order sorts by population DESC then custom_title ASC\" do\n      d1 = insert(:dataset, population: 10, custom_title: \"AAA\")\n      d2 = insert(:dataset, population: 20, custom_title: \"BBB\")\n      d3 = insert(:dataset, population: 20, custom_title: \"ABC\")\n\n      index = Transport.DatasetIndex.build_index()\n      ids = [d1.id, d2.id, d3.id]\n      sorted = Transport.DatasetIndex.order_dataset_ids(ids, index, %{})\n      assert sorted == [d3.id, d2.id, d1.id]\n    end\n\n    test \"default order prioritizes base nationale datasets\" do\n      pan_publisher = Application.fetch_env!(:transport, :datagouvfr_transport_publisher_id)\n\n      d1 = insert(:dataset, population: 100, custom_title: \"Z dataset\")\n\n      d2 =\n        insert(:dataset,\n          population: 1,\n          custom_title: \"Base nationale des GTFS\",\n          organization_id: pan_publisher\n        )\n\n      index = Transport.DatasetIndex.build_index()\n      ids = [d1.id, d2.id]\n      sorted = Transport.DatasetIndex.order_dataset_ids(ids, index, %{})\n      assert sorted == [d2.id, d1.id]\n    end\n\n    test \"with q param returns ids unchanged (no in-memory sort)\" do\n      d1 = insert(:dataset, custom_title: \"B\")\n      d2 = insert(:dataset, custom_title: \"A\")\n\n      index = Transport.DatasetIndex.build_index()\n      ids = [d1.id, d2.id]\n      sorted = Transport.DatasetIndex.order_dataset_ids(ids, index, %{\"q\" => \"some search\"})\n      assert sorted == ids\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/expiration_test.exs",
    "content": "defmodule Transport.ExpirationTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n\n  doctest Transport.Expiration, import: true\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"datasets_with_resources_expiring_on/1\" do\n    test \"returns datasets with resources expiring on a specific date - GTFS\",\n      do: test_case(\"GTFS\", Transport.Validators.GTFSTransport)\n\n    test \"returns datasets with resources expiring on a specific date - GTFS flex\",\n      do: test_case(\"GTFS\", Transport.Validators.MobilityDataGTFSValidator)\n\n    test \"returns datasets with resources expiring on a specific date - NeTEx\",\n      do: test_case(\"NeTEx\", Transport.Validators.NeTEx.Validator)\n\n    defp test_case(format, validator) do\n      {today, tomorrow, yesterday} = {Date.utc_today(), Date.add(Date.utc_today(), 1), Date.add(Date.utc_today(), -1)}\n      assert [] == today |> Transport.Expiration.datasets_with_resources_expiring_on()\n\n      insert_fn = fn %Date{} = expiration_date, %DB.Dataset{} = dataset ->\n        resource = insert(:resource, dataset: dataset, format: format)\n        resource_history = insert(:resource_history, resource: resource)\n\n        multi_validation =\n          insert(:multi_validation, validator: validator.validator_name(), resource_history: resource_history)\n\n        metadata = %{\"end_date\" => expiration_date}\n        insert(:resource_metadata, multi_validation: multi_validation, metadata: metadata)\n      end\n\n      # Ignores hidden or inactive datasets\n      insert_fn.(today, insert(:dataset, is_active: false))\n      insert_fn.(today, insert(:dataset, is_active: true, is_hidden: true))\n\n      assert [] == today |> Transport.Expiration.datasets_with_resources_expiring_on()\n\n      # 2 GTFS resources expiring on the same day for a dataset\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset, is_active: true)\n      insert_fn.(today, dataset)\n      insert_fn.(today, dataset)\n\n      assert [\n               {%DB.Dataset{id: ^dataset_id},\n                [%DB.Resource{dataset_id: ^dataset_id}, %DB.Resource{dataset_id: ^dataset_id}]}\n             ] = today |> Transport.Expiration.datasets_with_resources_expiring_on()\n\n      assert [] == tomorrow |> Transport.Expiration.datasets_with_resources_expiring_on()\n      assert [] == yesterday |> Transport.Expiration.datasets_with_resources_expiring_on()\n\n      insert_fn.(tomorrow, dataset)\n\n      assert [\n               {%DB.Dataset{id: ^dataset_id},\n                [%DB.Resource{dataset_id: ^dataset_id}, %DB.Resource{dataset_id: ^dataset_id}]}\n             ] = today |> Transport.Expiration.datasets_with_resources_expiring_on()\n\n      assert [\n               {%DB.Dataset{id: ^dataset_id}, [%DB.Resource{dataset_id: ^dataset_id}]}\n             ] = tomorrow |> Transport.Expiration.datasets_with_resources_expiring_on()\n\n      assert [] == yesterday |> Transport.Expiration.datasets_with_resources_expiring_on()\n\n      # Multiple datasets\n      %DB.Dataset{id: d2_id} = d2 = insert(:dataset, is_active: true)\n      insert_fn.(today, d2)\n\n      assert [\n               {%DB.Dataset{id: ^dataset_id},\n                [%DB.Resource{dataset_id: ^dataset_id}, %DB.Resource{dataset_id: ^dataset_id}]},\n               {%DB.Dataset{id: ^d2_id}, [%DB.Resource{dataset_id: ^d2_id}]}\n             ] = today |> Transport.Expiration.datasets_with_resources_expiring_on()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/file_downloads_test.exs",
    "content": "defmodule Transport.FileDownloadsTest do\n  use ExUnit.Case, async: true\n  doctest Transport.FileDownloads\nend\n"
  },
  {
    "path": "apps/transport/test/transport/gbfs_metadata_test.exs",
    "content": "defmodule Transport.GBFSMetadataTest do\n  # async: false is required because we use real in-memory caching in these tests\n  use ExUnit.Case, async: false\n  import Mox\n  import Transport.GBFSMetadata\n  import ExUnit.CaptureLog\n  alias Shared.Validation.GBFSValidator.Summary, as: GBFSValidationSummary\n\n  doctest Transport.GBFSMetadata, import: true\n\n  @gbfs_url \"https://example.com/gbfs.json\"\n\n  setup :set_mox_global\n  setup :verify_on_exit!\n\n  setup do\n    # Use a real in-memory cache for these tests to test the caching mecanism\n    old_value = Application.fetch_env!(:transport, :cache_impl)\n    Application.put_env(:transport, :cache_impl, Transport.Cache.Cachex)\n\n    on_exit(fn ->\n      Application.put_env(:transport, :cache_impl, old_value)\n      Cachex.reset(Transport.Cache.Cachex.cache_name())\n    end)\n  end\n\n  describe \"Compute GBFS metadata for a feed\" do\n    test \"for a stations feed with a single version\" do\n      setup_feeds([:gbfs, :system_information, :station_information, :station_status])\n      setup_validation_result()\n\n      assert %{\n               languages: [\"fr\"],\n               system_details: %{\n                 \"language\" => \"fr\",\n                 \"name\" => \"velhop\",\n                 \"system_id\" => \"strasbourg\",\n                 \"timezone\" => \"Europe/Paris\"\n               },\n               ttl: 3600,\n               types: [\"stations\"],\n               versions: [\"1.1\"],\n               feeds: [\"system_information\", \"station_information\", \"station_status\"],\n               validation: %GBFSValidationSummary{\n                 errors_count: 0,\n                 has_errors: false,\n                 version_detected: \"1.1\",\n                 version_validated: \"1.1\",\n                 validator_version: \"31c5325\",\n                 validator: :validator_module\n               },\n               feed_timestamp_delay: _,\n               vehicle_types: [\"bicycle\"],\n               stats: %{\n                 nb_docks_available: 11,\n                 nb_docks_disabled: 2,\n                 nb_installed_stations: 2,\n                 nb_renting_stations: 2,\n                 nb_returning_stations: 2,\n                 nb_stations: 2,\n                 nb_vehicles_available_stations: 7,\n                 nb_vehicles_disabled_stations: 3,\n                 version: 2\n               },\n               operator: \"Example\"\n             } = compute_feed_metadata(@gbfs_url)\n    end\n\n    test \"for a stations + free floating feed with multiple versions\" do\n      setup_feeds([\n        :gbfs_with_versions,\n        :gbfs_versions,\n        :system_information,\n        :vehicle_types,\n        :station_information,\n        :free_bike_status,\n        :station_status\n      ])\n\n      setup_validation_result(\n        {:ok, summary} =\n          {:ok,\n           %GBFSValidationSummary{\n             errors_count: 0,\n             has_errors: false,\n             version_detected: \"2.2\",\n             version_validated: \"2.2\",\n             validator_version: \"31c5325\",\n             validator: :validator_module\n           }}\n      )\n\n      assert %{\n               languages: [\"fr\"],\n               system_details: %{\n                 \"language\" => \"fr\",\n                 \"name\" => \"velhop\",\n                 \"system_id\" => \"strasbourg\",\n                 \"timezone\" => \"Europe/Paris\"\n               },\n               ttl: 60,\n               types: [\"free_floating\", \"stations\"],\n               validation: ^summary,\n               versions: [\"2.2\", \"2.1\"],\n               feeds: [\n                 \"system_information\",\n                 \"free_bike_status\",\n                 \"vehicle_types\",\n                 \"system_pricing_plans\",\n                 \"station_information\",\n                 \"station_status\",\n                 \"geofencing_zones\",\n                 \"gbfs_versions\"\n               ],\n               feed_timestamp_delay: feed_timestamp_delay,\n               vehicle_types: [\"bicycle\", \"scooter\"],\n               stats: %{\n                 nb_docks_available: 11,\n                 nb_docks_disabled: 2,\n                 nb_installed_stations: 2,\n                 nb_renting_stations: 2,\n                 nb_returning_stations: 2,\n                 nb_stations: 2,\n                 nb_vehicles_available_stations: 7,\n                 nb_vehicles_disabled_stations: 3,\n                 version: 2\n               },\n               operator: \"Example\"\n             } = compute_feed_metadata(@gbfs_url)\n\n      assert feed_timestamp_delay > 0\n    end\n\n    test \"for feed with a 500 error on the root URL\" do\n      setup_feeds([:gbfs_with_server_error])\n\n      {res, logs} = with_log(fn -> compute_feed_metadata(@gbfs_url) end)\n\n      assert %{} == res\n      assert logs =~ \"Could not compute GBFS feed metadata\"\n    end\n\n    test \"for feed with an invalid JSON response\" do\n      setup_feeds([:gbfs_with_invalid_gbfs_json])\n      setup_validation_result({:error, nil})\n\n      {res, logs} = with_log(fn -> compute_feed_metadata(@gbfs_url) end)\n\n      assert %{} == res\n      assert logs =~ \"Could not compute GBFS feed metadata\"\n    end\n  end\n\n  describe \"versions\" do\n    test \"1.0 feed\" do\n      json =\n        Jason.decode!(\"\"\"\n         {\n           \"last_updated\":1729501544,\n           \"ttl\":0,\n           \"data\":{\n              \"en\":{\n                 \"feeds\":[\n                    {\n                       \"name\":\"system_information\",\n                       \"url\":\"https://example.com/gbfs/system_information.json\"\n                    },\n                    {\n                       \"name\":\"station_information\",\n                       \"url\":\"https://example.com/gbfs/station_information.json\"\n                    },\n                    {\n                       \"name\":\"station_status\",\n                       \"url\":\"https://example.com/gbfs/station_status.json\"\n                    }\n                 ]\n              }\n           }\n        }\n        \"\"\")\n\n      assert [\"1.0\"] == versions(json)\n    end\n\n    test \"2.3 feed, no gbfs_versions feed\" do\n      json =\n        Jason.decode!(\"\"\"\n         {\n           \"last_updated\":1729501544,\n           \"ttl\":0,\n           \"version\": \"2.3\",\n           \"data\":{\n              \"en\":{\n                 \"feeds\":[\n                    {\n                       \"name\":\"system_information\",\n                       \"url\":\"https://example.com/gbfs/system_information.json\"\n                    },\n                    {\n                       \"name\":\"station_information\",\n                       \"url\":\"https://example.com/gbfs/station_information.json\"\n                    },\n                    {\n                       \"name\":\"station_status\",\n                       \"url\":\"https://example.com/gbfs/station_status.json\"\n                    }\n                 ]\n              }\n           }\n        }\n        \"\"\")\n\n      assert [\"2.3\"] == versions(json)\n    end\n\n    test \"2.3 feed, gbfs_versions feed\" do\n      gbfs_versions_url = \"https://example.com/gbfs/gbfs_versions\"\n\n      setup_response(\n        gbfs_versions_url,\n        Jason.encode!(%{\n          data: %{\n            versions: [\n              %{version: \"2.3\"},\n              %{version: \"3.0\"}\n            ]\n          }\n        })\n      )\n\n      json =\n        Jason.decode!(\"\"\"\n         {\n           \"last_updated\":1729501544,\n           \"ttl\":0,\n           \"version\": \"2.3\",\n           \"data\":{\n              \"en\":{\n                 \"feeds\":[\n                    {\n                       \"name\":\"system_information\",\n                       \"url\":\"https://example.com/gbfs/system_information.json\"\n                    },\n                    {\n                       \"name\":\"station_information\",\n                       \"url\":\"https://example.com/gbfs/station_information.json\"\n                    },\n                    {\n                       \"name\":\"station_status\",\n                       \"url\":\"https://example.com/gbfs/station_status.json\"\n                    },\n                    {\n                       \"name\":\"gbfs_versions\",\n                       \"url\":\"#{gbfs_versions_url}\"\n                    }\n                 ]\n              }\n           }\n        }\n        \"\"\")\n\n      assert [\"3.0\", \"2.3\"] == versions(json)\n    end\n  end\n\n  describe \"feeds\" do\n    test \"3.0 feed\" do\n      json =\n        Jason.decode!(\"\"\"\n         {\n          \"last_updated\": \"2023-07-17T13:34:13+02:00\",\n          \"ttl\": 0,\n          \"version\": \"3.0\",\n          \"data\": {\n            \"feeds\": [\n              {\n                \"name\": \"system_information\",\n                \"url\": \"https://www.example.com/gbfs/1/system_information\"\n              },\n              {\n                \"name\": \"station_information\",\n                \"url\": \"https://www.example.com/gbfs/1/station_information\"\n              }\n            ]\n          }\n        }\n        \"\"\")\n\n      assert [\"system_information\", \"station_information\"] == feeds(json)\n    end\n  end\n\n  describe \"system_details\" do\n    test \"2.3 feed\" do\n      system_information_url = \"https://example.com/gbfs/system_information\"\n\n      setup_response(\n        system_information_url,\n        \"\"\"\n        {\n          \"last_updated\": 1729517006,\n          \"ttl\": 0,\n          \"version\": \"2.3\",\n          \"data\": {\n            \"email\": \"support@ecovelo.com\",\n            \"feed_contact_email\": \"gbfs@ecovelo.com\",\n            \"language\": \"fr\",\n            \"name\": \"Vélycéo\",\n            \"phone_number\": \"+33974591314\",\n            \"purchase_url\": \"https://velyceo.ecovelo.mobi/#/forfaits\",\n            \"start_date\": \"2020-08-20\",\n            \"system_id\": \"velyceo\",\n            \"timezone\": \"Europe/Paris\",\n            \"url\": \"https://velyceo.ecovelo.mobi\"\n          }\n        }\n        \"\"\"\n      )\n\n      json =\n        Jason.decode!(\"\"\"\n         {\n          \"last_updated\": 1729517006,\n          \"ttl\": 0,\n          \"version\": \"2.3\",\n          \"data\": {\n            \"en\": {\n              \"feeds\": [\n                {\n                  \"name\": \"system_information\",\n                  \"url\": \"#{system_information_url}\"\n                },\n                {\n                  \"name\": \"station_information\",\n                  \"url\": \"https://example.com/gbfs/station_information\"\n                }\n              ]\n            }\n          }\n        }\n        \"\"\")\n\n      assert %{\n               \"email\" => \"support@ecovelo.com\",\n               \"feed_contact_email\" => \"gbfs@ecovelo.com\",\n               \"language\" => \"fr\",\n               \"name\" => \"Vélycéo\",\n               \"phone_number\" => \"+33974591314\",\n               \"purchase_url\" => \"https://velyceo.ecovelo.mobi/#/forfaits\",\n               \"start_date\" => \"2020-08-20\",\n               \"system_id\" => \"velyceo\",\n               \"timezone\" => \"Europe/Paris\",\n               \"url\" => \"https://velyceo.ecovelo.mobi\"\n             } == json |> system_details()\n    end\n\n    test \"3.0 feed\" do\n      system_information_url = \"https://example.com/gbfs/system_information\"\n\n      setup_response(\n        system_information_url,\n        \"\"\"\n        {\n          \"data\": {\n            \"email\": \"support@ecovelo.com\",\n            \"feed_contact_email\": \"gbfs@ecovelo.com\",\n            \"languages\": [\n              \"fr\"\n            ],\n            \"manifest_url\": \"https://api.gbfs.ecovelo.mobi/manifest.json\",\n            \"name\": [\n              {\n                \"language\": \"fr\",\n                \"text\": \"V\\u00e9lYc\\u00e9o\"\n              }\n            ],\n            \"opening_hours\": \"24/7\",\n            \"phone_number\": \"+33974591314\",\n            \"purchase_url\": \"https://velyceo.ecovelo.mobi/#/forfaits\",\n            \"start_date\": \"2020-08-20\",\n            \"system_id\": \"velyceo\",\n            \"terms_last_updated\": \"2022-04-01\",\n            \"terms_url\": [\n              {\n                \"language\": \"fr\",\n                \"text\": \"https://velyceo.ecovelo.mobi/#/cgu\"\n              }\n            ],\n            \"timezone\": \"Europe/Paris\",\n            \"url\": \"https://velyceo.ecovelo.mobi\"\n          },\n          \"last_updated\": \"2024-10-21T15:31:51+02:00\",\n          \"ttl\": 300,\n          \"version\": \"3.0\"\n        }\n        \"\"\"\n      )\n\n      json =\n        Jason.decode!(\"\"\"\n         {\n          \"last_updated\": \"2024-10-21T15:31:51+02:00\",\n          \"ttl\": 0,\n          \"version\": \"3.0\",\n          \"data\": {\n            \"feeds\": [\n              {\n                \"name\": \"system_information\",\n                \"url\": \"#{system_information_url}\"\n              },\n              {\n                \"name\": \"station_information\",\n                \"url\": \"https://example.com/gbfs/station_information\"\n              }\n            ]\n          }\n        }\n        \"\"\")\n\n      assert %{\n               \"email\" => \"support@ecovelo.com\",\n               \"feed_contact_email\" => \"gbfs@ecovelo.com\",\n               \"name\" => \"VélYcéo\",\n               \"phone_number\" => \"+33974591314\",\n               \"purchase_url\" => \"https://velyceo.ecovelo.mobi/#/forfaits\",\n               \"start_date\" => \"2020-08-20\",\n               \"system_id\" => \"velyceo\",\n               \"timezone\" => \"Europe/Paris\",\n               \"url\" => \"https://velyceo.ecovelo.mobi\",\n               \"languages\" => [\"fr\"],\n               \"manifest_url\" => \"https://api.gbfs.ecovelo.mobi/manifest.json\",\n               \"opening_hours\" => \"24/7\",\n               \"terms_last_updated\" => \"2022-04-01\",\n               \"terms_url\" => \"https://velyceo.ecovelo.mobi/#/cgu\"\n             } == json |> system_details()\n    end\n  end\n\n  describe \"vehicle_types\" do\n    test \"3.0 feed, vehicle_types feed present\" do\n      vehicle_types_url = \"https://example.com/gbfs/vehicle_types\"\n\n      setup_response(\n        vehicle_types_url,\n        Jason.encode!(%{\n          data: %{\n            vehicle_types: [\n              %{form_factor: \"bicycle\"},\n              %{form_factor: \"scooter_standing\"},\n              %{form_factor: \"bicycle\"}\n            ]\n          }\n        })\n      )\n\n      json =\n        Jason.decode!(\"\"\"\n         {\n          \"last_updated\": \"2023-07-17T13:34:13+02:00\",\n          \"ttl\": 0,\n          \"version\": \"3.0\",\n          \"data\": {\n            \"feeds\": [\n              {\n                \"name\": \"vehicle_types\",\n                \"url\": \"#{vehicle_types_url}\"\n              },\n              {\n                \"name\": \"station_information\",\n                \"url\": \"https://example.com/gbfs/station_information\"\n              }\n            ]\n          }\n        }\n        \"\"\")\n\n      assert MapSet.new([\"bicycle\", \"scooter_standing\"]) == json |> vehicle_types() |> MapSet.new()\n    end\n\n    test \"2.1 feed, vehicle_types feed not present\" do\n      json =\n        Jason.decode!(\"\"\"\n         {\n          \"last_updated\": \"1636116522\",\n          \"ttl\": 0,\n          \"version\": \"2.1\",\n          \"data\": {\n            \"fr\": {\n              \"feeds\": [\n                {\n                  \"name\": \"station_information\",\n                  \"url\": \"https://example.com/gbfs/station_information\"\n                }\n              ]\n            }\n          }\n        }\n        \"\"\")\n\n      assert [\"bicycle\"] == json |> vehicle_types()\n    end\n  end\n\n  describe \"languages\" do\n    test \"3.0 feed\" do\n      system_information_url = \"https://example.com/gbfs/system_information\"\n\n      setup_response(system_information_url, Jason.encode!(%{data: %{languages: [\"en\", \"fr\"]}}))\n\n      json =\n        Jason.decode!(\"\"\"\n         {\n          \"last_updated\": \"2023-07-17T13:34:13+02:00\",\n          \"ttl\": 0,\n          \"version\": \"3.0\",\n          \"data\": {\n            \"feeds\": [\n              {\n                \"name\": \"system_information\",\n                \"url\": \"#{system_information_url}\"\n              },\n              {\n                \"name\": \"station_information\",\n                \"url\": \"https://example.com/gbfs/station_information\"\n              }\n            ]\n          }\n        }\n        \"\"\")\n\n      assert MapSet.new([\"en\", \"fr\"]) == json |> languages() |> MapSet.new()\n    end\n\n    test \"2.3 feed\" do\n      # Example from https://github.com/MobilityData/gbfs/blob/v2.3/gbfs.md#gbfsjson\n      json =\n        Jason.decode!(\"\"\"\n        {\n          \"last_updated\": 1640887163,\n          \"ttl\": 0,\n          \"version\": \"2.3\",\n          \"data\": {\n            \"en\": {\n              \"feeds\": [\n                {\n                  \"name\": \"system_information\",\n                  \"url\": \"https://www.example.com/gbfs/1/en/system_information\"\n                },\n                {\n                  \"name\": \"station_information\",\n                  \"url\": \"https://www.example.com/gbfs/1/en/station_information\"\n                }\n              ]\n            },\n            \"fr\" : {\n              \"feeds\": [\n                {\n                  \"name\": \"system_information\",\n                  \"url\": \"https://www.example.com/gbfs/1/fr/system_information\"\n                },\n                {\n                  \"name\": \"station_information\",\n                  \"url\": \"https://www.example.com/gbfs/1/fr/station_information\"\n                }\n              ]\n            }\n          }\n        }\n        \"\"\")\n\n      assert MapSet.new([\"en\", \"fr\"]) == json |> languages() |> MapSet.new()\n    end\n  end\n\n  describe \"free_bike_status becomes vehicle_status\" do\n    test \"v2.3\" do\n      assert feed_is_named?(%{\"name\" => \"free_bike_status\"}, :vehicle_status)\n      assert feed_is_named?(%{\"name\" => \"free_bike_status.json\"}, :vehicle_status)\n\n      payload = %{\n        \"version\" => \"2.3\",\n        \"data\" => %{\n          \"en\" => %{\n            \"feeds\" => [%{\"name\" => \"free_bike_status\", \"url\" => feed_url = \"https://example.com/free_bike_status\"}]\n          }\n        }\n      }\n\n      assert has_feed?(payload, :vehicle_status)\n\n      assert payload |> feed_url_by_name(:vehicle_status) == feed_url\n\n      assert has_feed?(\n               %{\"version\" => \"2.3\", \"data\" => %{\"en\" => %{\"feeds\" => [%{\"name\" => \"free_bike_status.json\"}]}}},\n               :vehicle_status\n             )\n    end\n\n    test \"v3.0\" do\n      assert feed_is_named?(%{\"name\" => \"vehicle_status\"}, :vehicle_status)\n\n      payload = %{\n        \"version\" => \"3.0\",\n        \"data\" => %{\n          \"feeds\" => [%{\"name\" => \"vehicle_status\", \"url\" => feed_url = \"https://example.com/free_bike_status\"}]\n        }\n      }\n\n      assert has_feed?(payload, :vehicle_status)\n      assert payload |> feed_url_by_name(:vehicle_status) == feed_url\n    end\n  end\n\n  describe \"stats\" do\n    test \"3.0 feed\" do\n      setup_response(\"https://example.com/gbfs/station_status\", fixture_content(\"station_status.3.0\"))\n      setup_response(\"https://example.com/gbfs/station_information\", fixture_content(\"station_information.3.0\"))\n      setup_response(\"https://example.com/gbfs/vehicle_status\", fixture_content(\"vehicle_status.3.0\"))\n\n      # `version` is bumped when keys change\n      %{version: 2} = stats = stats(fixture_content(\"gbfs.3.0\") |> Jason.decode!())\n      assert \"7f96f20d6737450db8338d4ce83ae888\" == stats |> Map.keys() |> Enum.sort() |> Enum.join(\"|\") |> md5()\n\n      # Values may not make sense: responses have been taken from the GBFS spec\n      # and edited to make sure we test various possibilities without having massive\n      # fixture files.\n      assert %{\n               nb_disabled_vehicles: 1,\n               nb_docked_vehicles: 1,\n               nb_docks_available: 11,\n               nb_docks_disabled: 2,\n               nb_freefloating_vehicles: 1,\n               nb_installed_stations: 2,\n               nb_renting_stations: 2,\n               nb_reserved_vehicles: 1,\n               nb_returning_stations: 2,\n               nb_stations: 2,\n               nb_vehicles: 2,\n               version: 2,\n               nb_vehicles_available_stations: 7,\n               nb_vehicles_disabled_stations: 3,\n               nb_virtual_stations: 1\n             } == stats\n    end\n\n    test \"2.2 feed\" do\n      setup_response(\"https://example.com/gbfs/station_status\", fixture_content(\"station_status.2.2\"))\n      setup_response(\"https://example.com/gbfs/station_information\", fixture_content(\"station_information.2.2\"))\n      setup_response(\"https://example.com/gbfs/free_bike_status\", fixture_content(\"free_bike_status.2.2\"))\n\n      # Values may not make sense: responses have been taken from the GBFS spec\n      # and edited to make sure we test various possibilities without having massive\n      # fixture files.\n      assert %{\n               nb_disabled_vehicles: 0,\n               nb_docked_vehicles: 1,\n               nb_docks_available: 11,\n               nb_docks_disabled: 1,\n               nb_freefloating_vehicles: 1,\n               nb_installed_stations: 2,\n               nb_renting_stations: 2,\n               nb_reserved_vehicles: 0,\n               nb_returning_stations: 2,\n               nb_stations: 2,\n               nb_vehicles: 2,\n               nb_vehicles_available_stations: 7,\n               nb_vehicles_disabled_stations: 0,\n               nb_virtual_stations: 0,\n               version: 2\n             } == stats(fixture_content(\"gbfs.2.2\") |> Jason.decode!())\n    end\n  end\n\n  describe \"types\" do\n    test \"vehicles feed with no station information and stations feeds should be considered mixed type\" do\n      setup_response(\n        station_information_url = \"https://example.com/station_information\",\n        Jason.encode!(%{data: %{stations: [%{station_id: Ecto.UUID.generate()}]}})\n      )\n\n      # `station_id` is not present in the response, the bike is considered as free floating\n      setup_response(\n        vehicle_status_url = \"https://example.com/vehicle_status\",\n        Jason.encode!(%{data: %{vehicles: [%{bike_id: Ecto.UUID.generate()}]}})\n      )\n\n      gbfs_url = %{\n        \"version\" => \"3.0\",\n        \"data\" => %{\n          \"feeds\" => [\n            %{\"name\" => \"vehicle_status\", \"url\" => vehicle_status_url},\n            %{\"name\" => \"station_information\", \"url\" => station_information_url}\n          ]\n        }\n      }\n\n      assert [\"free_floating\", \"stations\"] == types(gbfs_url)\n    end\n\n    test \"vehicles and stations feeds, empty stations should be considered as free floating\" do\n      setup_response(\n        station_information_url = \"https://example.com/station_information\",\n        Jason.encode!(%{data: %{stations: []}})\n      )\n\n      setup_response(\n        vehicle_status_url = \"https://example.com/vehicle_status\",\n        Jason.encode!(%{data: %{vehicles: [%{bike_id: Ecto.UUID.generate()}]}})\n      )\n\n      gbfs_url = %{\n        \"version\" => \"3.0\",\n        \"data\" => %{\n          \"feeds\" => [\n            %{\"name\" => \"vehicle_status\", \"url\" => vehicle_status_url},\n            %{\"name\" => \"station_information\", \"url\" => station_information_url}\n          ]\n        }\n      }\n\n      assert [\"free_floating\"] == types(gbfs_url)\n    end\n\n    test \"vehicles and stations feeds, vehicles are docked\" do\n      setup_response(\n        station_information_url = \"https://example.com/station_information\",\n        Jason.encode!(%{data: %{stations: [%{station_id: Ecto.UUID.generate()}]}})\n      )\n\n      setup_response(\n        vehicle_status_url = \"https://example.com/vehicle_status\",\n        Jason.encode!(%{data: %{vehicles: [%{station_id: Ecto.UUID.generate()}]}})\n      )\n\n      gbfs_url = %{\n        \"version\" => \"3.0\",\n        \"data\" => %{\n          \"feeds\" => [\n            %{\"name\" => \"vehicle_status\", \"url\" => vehicle_status_url},\n            %{\"name\" => \"station_information\", \"url\" => station_information_url}\n          ]\n        }\n      }\n\n      assert [\"stations\"] == types(gbfs_url)\n    end\n\n    test \"vehicles and stations feeds, no vehicles\" do\n      setup_response(\n        station_information_url = \"https://example.com/station_information\",\n        Jason.encode!(%{data: %{stations: [%{station_id: Ecto.UUID.generate()}]}})\n      )\n\n      setup_response(\n        vehicle_status_url = \"https://example.com/vehicle_status\",\n        Jason.encode!(%{data: %{vehicles: []}})\n      )\n\n      gbfs_url = %{\n        \"version\" => \"3.0\",\n        \"data\" => %{\n          \"feeds\" => [\n            %{\"name\" => \"vehicle_status\", \"url\" => vehicle_status_url},\n            %{\"name\" => \"station_information\", \"url\" => station_information_url}\n          ]\n        }\n      }\n\n      assert [\"stations\"] == types(gbfs_url)\n    end\n\n    test \"stations feed only\" do\n      setup_response(\n        station_information_url = \"https://example.com/station_information\",\n        Jason.encode!(%{data: %{stations: [%{station_id: Ecto.UUID.generate()}]}})\n      )\n\n      gbfs_url = %{\n        \"version\" => \"3.0\",\n        \"data\" => %{\n          \"feeds\" => [\n            %{\"name\" => \"station_information\", \"url\" => station_information_url}\n          ]\n        }\n      }\n\n      assert [\"stations\"] == types(gbfs_url)\n    end\n\n    test \"vehicles feed only\" do\n      setup_response(\n        vehicle_status_url = \"https://example.com/vehicle_status\",\n        Jason.encode!(%{data: %{vehicles: [%{bike_id: Ecto.UUID.generate()}]}})\n      )\n\n      gbfs_url = %{\n        \"version\" => \"3.0\",\n        \"data\" => %{\n          \"feeds\" => [\n            %{\"name\" => \"vehicle_status\", \"url\" => vehicle_status_url}\n          ]\n        }\n      }\n\n      assert [\"free_floating\"] == types(gbfs_url)\n    end\n\n    test \"stations feed with only virtual stations should be considered as free floating\" do\n      station_id = Ecto.UUID.generate()\n\n      setup_response(\n        station_information_url = \"https://example.com/station_information\",\n        Jason.encode!(%{data: %{stations: [%{station_id: station_id, is_virtual_station: true}]}})\n      )\n\n      setup_response(\n        vehicle_status_url = \"https://example.com/vehicle_status\",\n        Jason.encode!(%{data: %{vehicles: [%{station_id: station_id}]}})\n      )\n\n      gbfs_url = %{\n        \"version\" => \"3.0\",\n        \"data\" => %{\n          \"feeds\" => [\n            %{\"name\" => \"vehicle_status\", \"url\" => vehicle_status_url},\n            %{\"name\" => \"station_information\", \"url\" => station_information_url}\n          ]\n        }\n      }\n\n      assert [\"free_floating\"] == types(gbfs_url)\n    end\n  end\n\n  describe \"virtual_station_ids\" do\n    test \"no station_information feed\" do\n      gbfs_url = %{\n        \"version\" => \"3.0\",\n        \"data\" => %{\n          \"feeds\" => [\n            %{\"name\" => \"vehicle_status\"}\n          ]\n        }\n      }\n\n      assert [] == virtual_station_ids(gbfs_url)\n    end\n\n    test \"identifies IDs\" do\n      virtual_station_id = Ecto.UUID.generate()\n      physical_station_id = Ecto.UUID.generate()\n\n      setup_response(\n        station_information_url = \"https://example.com/station_information\",\n        Jason.encode!(%{\n          data: %{\n            stations: [\n              %{station_id: virtual_station_id, is_virtual_station: true},\n              %{station_id: physical_station_id}\n            ]\n          }\n        })\n      )\n\n      gbfs_url = %{\n        \"version\" => \"3.0\",\n        \"data\" => %{\n          \"feeds\" => [\n            %{\"name\" => \"station_information\", \"url\" => station_information_url}\n          ]\n        }\n      }\n\n      assert [virtual_station_id] == virtual_station_ids(gbfs_url)\n    end\n  end\n\n  defp fixture_content(filename) do\n    File.read!(\"#{__DIR__}/../fixture/gbfs/#{filename}.json\")\n  end\n\n  defp setup_validation_result(summary \\\\ nil) do\n    Shared.Validation.GBFSValidator.Mock\n    |> expect(:validate, fn url ->\n      assert url == @gbfs_url\n\n      default =\n        {:ok,\n         %GBFSValidationSummary{\n           has_errors: false,\n           errors_count: 0,\n           version_detected: \"1.1\",\n           version_validated: \"1.1\",\n           validator_version: \"31c5325\",\n           validator: :validator_module\n         }}\n\n      if is_nil(summary), do: default, else: summary\n    end)\n  end\n\n  defp setup_feeds(feeds), do: Enum.map(feeds, &setup_feed(&1))\n\n  defp setup_feed(:gbfs), do: setup_gbfs_response()\n  defp setup_feed(:gbfs_with_versions), do: setup_gbfs_with_versions_response()\n  defp setup_feed(:gbfs_with_server_error), do: setup_gbfs_with_server_error_response()\n  defp setup_feed(:gbfs_with_invalid_gbfs_json), do: setup_invalid_gbfs_response()\n  defp setup_feed(:gbfs_versions), do: setup_gbfs_versions_response()\n  defp setup_feed(:free_bike_status), do: setup_free_bike_status_response()\n  defp setup_feed(:system_information), do: setup_system_information_response()\n  defp setup_feed(:station_information), do: setup_station_information_response()\n  defp setup_feed(:vehicle_types), do: setup_vehicle_types_response()\n  defp setup_feed(:station_status), do: setup_station_status_response()\n\n  defp setup_response(expected_url, body) do\n    Transport.HTTPoison.Mock\n    |> expect(:get, fn ^expected_url ->\n      {:ok, %HTTPoison.Response{status_code: 200, body: body, headers: [{\"content-type\", \"application/json\"}]}}\n    end)\n  end\n\n  defp setup_gbfs_with_server_error_response do\n    Transport.HTTPoison.Mock\n    |> expect(:get, fn _url -> {:ok, %HTTPoison.Response{status_code: 500}} end)\n  end\n\n  defp setup_gbfs_response do\n    body = \"\"\"\n     {\"data\":{\"fr\":{\"feeds\":[{\"name\":\"system_information\",\"url\":\"https://example.com/system_information.json\"},{\"name\":\"station_information\",\"url\":\"https://example.com/station_information.json\"},{\"name\":\"station_status\",\"url\":\"https://example.com/station_status.json\"}]}},\"last_updated\":1636116464,\"ttl\":3600,\"version\":\"1.1\"}\n    \"\"\"\n\n    setup_response(@gbfs_url, body)\n  end\n\n  defp setup_invalid_gbfs_response do\n    body = \"\"\"\n    {\"foo\": \"bar\"}\n    \"\"\"\n\n    setup_response(@gbfs_url, body)\n  end\n\n  defp setup_gbfs_with_versions_response do\n    body = \"\"\"\n    {\"last_updated\":1636365542,\"ttl\":60,\"version\":\"2.2\",\"data\":{\"fr\":{\"feeds\":[{\"name\":\"system_information.json\",\"url\":\"https://example.com/system_information.json\"},{\"name\":\"free_bike_status.json\",\"url\":\"https://example.com/free_bike_status.json\"},{\"name\":\"vehicle_types.json\",\"url\":\"https://example.com/vehicle_types.json\"},{\"name\":\"system_pricing_plans.json\",\"url\":\"https://example.com/system_pricing_plans.json\"},{\"name\":\"station_information.json\",\"url\":\"https://example.com/station_information.json\"},{\"name\":\"station_status.json\",\"url\":\"https://example.com/station_status.json\"},{\"name\":\"geofencing_zones.json\",\"url\":\"https://example.com/geofencing_zones.json\"},{\"name\":\"gbfs_versions.json\",\"url\":\"https://example.com/gbfs_versions.json\"}]}}}\n    \"\"\"\n\n    setup_response(@gbfs_url, body)\n  end\n\n  defp setup_gbfs_versions_response do\n    body = \"\"\"\n    {\"last_updated\":1636365614,\"ttl\":60,\"version\":\"2.2\",\"data\":{\"versions\":[{\"version\":\"2.1\",\"url\":\"https://data-sharing.tier-services.io/tier_grenoble/gbfs/2.1\"},{\"version\":\"2.2\",\"url\":\"https://data-sharing.tier-services.io/tier_grenoble/gbfs/2.2\"}]}}\n    \"\"\"\n\n    setup_response(\"https://example.com/gbfs_versions.json\", body)\n  end\n\n  defp setup_free_bike_status_response do\n    body = \"\"\"\n    {\"last_updated\":1636365844,\"ttl\":60,\"version\":\"2.2\",\"data\":{\"bikes\":[{\"bike_id\":\"e09ff10385b087afd4f69acf4fbabc3bd9c21d23973414a5489ac5364ced407f\",\"lat\":45.179489,\"lon\":5.726216,\"is_reserved\":false,\"is_disabled\":false,\"vehicle_type_id\":\"escooter_grenoble\",\"current_range_meters\":25564,\"pricing_plan_id\":\"7f500abb-9f84-461a-bc64-e411ddbcf174\",\"rental_uris\":{\"android\":\"https://tier.page.link/Vbaff\",\"ios\":\"https://tier.page.link/Vbaff\"}}]}}\n    \"\"\"\n\n    setup_response(\"https://example.com/free_bike_status.json\", body)\n  end\n\n  defp setup_system_information_response do\n    body = \"\"\"\n     {\"data\":{\"language\":\"fr\",\"name\":\"velhop\",\"system_id\":\"strasbourg\",\"timezone\":\"Europe/Paris\"},\"last_updated\":1636116522,\"ttl\":3600,\"version\":\"1.1\"}\n    \"\"\"\n\n    setup_response(\"https://example.com/system_information.json\", body)\n  end\n\n  defp setup_station_information_response do\n    body = \"\"\"\n     {\"data\":{\"stations\":[{\"capacity\":16,\"lat\":48.568644,\"lon\":7.795621,\"name\":\"124 Auberge de jeunesse\",\"rental_method\":\"CREDIT_CARD\",\"station_id\":\"124\"}]},\"last_updated\":1636116909,\"ttl\":3600,\"version\":\"1.1\"}\n    \"\"\"\n\n    setup_response(\"https://example.com/station_information.json\", body)\n  end\n\n  defp setup_vehicle_types_response do\n    body = \"\"\"\n     {\"data\": {\"vehicle_types\": [{\"form_factor\": \"bicycle\",\"max_range_meters\": 20000,\"propulsion_type\": \"electric_assist\",\"vehicle_type_id\": \"titibike\"},{\"form_factor\": \"bicycle\",\"max_range_meters\": 60000,\"propulsion_type\": \"electric_assist\",\"vehicle_type_id\": \"x2\"},{\"form_factor\": \"scooter\",\"max_range_meters\": 35000,\"propulsion_type\": \"electric\",\"vehicle_type_id\": \"knot\"},{\"form_factor\": \"scooter\",\"max_range_meters\": 60000,\"propulsion_type\": \"electric\",\"vehicle_type_id\": \"pony\"}]},\"last_updated\": \"2024-10-16T16:23:49+02:00\",\"ttl\": 300,\"version\": \"3.0\"}\n    \"\"\"\n\n    setup_response(\"https://example.com/vehicle_types.json\", body)\n  end\n\n  defp setup_station_status_response do\n    body = \"\"\"\n     {\"last_updated\":\"2023-07-17T13:34:13+02:00\",\"ttl\":0,\"version\":\"3.0\",\"data\":{\"stations\":[{\"station_id\":\"station1\",\"is_installed\":true,\"is_renting\":true,\"is_returning\":true,\"last_reported\":\"2023-07-17T13:34:13+02:00\",\"num_docks_available\":3,\"num_docks_disabled\":1,\"vehicle_docks_available\":[{\"vehicle_type_ids\":[\"abc123\",\"def456\"],\"count\":2},{\"vehicle_type_ids\":[\"def456\"],\"count\":1}],\"num_vehicles_available\":1,\"num_vehicles_disabled\":2,\"vehicle_types_available\":[{\"vehicle_type_id\":\"abc123\",\"count\":1},{\"vehicle_type_id\":\"def456\",\"count\":0}]},{\"station_id\":\"station2\",\"is_installed\":true,\"is_renting\":true,\"is_returning\":true,\"last_reported\":\"2023-07-17T13:34:13+02:00\",\"num_docks_available\":8,\"num_docks_disabled\":1,\"vehicle_docks_available\":[{\"vehicle_type_ids\":[\"abc123\"],\"count\":6},{\"vehicle_type_ids\":[\"def456\"],\"count\":2}],\"num_vehicles_available\":6,\"num_vehicles_disabled\":1,\"vehicle_types_available\":[{\"vehicle_type_id\":\"abc123\",\"count\":2},{\"vehicle_type_id\":\"def456\",\"count\":4}]}]}}\n    \"\"\"\n\n    setup_response(\"https://example.com/station_status.json\", body)\n  end\n\n  defp md5(value), do: :crypto.hash(:md5, value) |> Base.encode16(case: :lower)\nend\n"
  },
  {
    "path": "apps/transport/test/transport/gbfs_to_geojson_test.exs",
    "content": "defmodule Transport.GbfsToGeojsonTest do\n  use ExUnit.Case, async: true\n  import Mox\n\n  setup :verify_on_exit!\n\n  describe \"gbfs to geojson conversion\" do\n    test \"station_information conversion\" do\n      gbfs_endpoint = \"gbfs.json\"\n      feeds = [%{\"name\" => \"station_information\", \"url\" => \"station_information.json\"}]\n\n      set_gbfs_entrypoint_expect(gbfs_endpoint, feeds)\n      set_station_information_expect()\n\n      geojsons = Transport.GbfsToGeojson.gbfs_geojsons(gbfs_endpoint, %{})\n      assert geojsons[\"stations\"] == simple_station_information_geojson()\n    end\n\n    test \"station_information conversion for a 3.0 feed\" do\n      gbfs_endpoint = \"gbfs.json\"\n      feeds = [%{\"name\" => \"station_information\", \"url\" => \"station_information.json\"}]\n\n      set_gbfs_entrypoint_expect(gbfs_endpoint, feeds)\n      set_station_information_30_expect()\n\n      geojsons = Transport.GbfsToGeojson.gbfs_geojsons(gbfs_endpoint, %{})\n      assert geojsons[\"stations\"] == simple_station_information_geojson()\n    end\n\n    test \"station_information + station_status conversion\" do\n      gbfs_endpoint = \"gbfs.json\"\n\n      feeds = [\n        %{\"name\" => \"station_information\", \"url\" => \"station_information.json\"},\n        %{\"name\" => \"station_status\", \"url\" => \"station_status.json\"}\n      ]\n\n      set_gbfs_entrypoint_expect(gbfs_endpoint, feeds)\n      set_station_information_expect()\n      set_station_status_expect()\n\n      geojsons = Transport.GbfsToGeojson.gbfs_geojsons(gbfs_endpoint, %{})\n\n      assert geojsons[\"stations\"] ==\n               %{\n                 \"type\" => \"FeatureCollection\",\n                 \"features\" => [\n                   %{\n                     \"geometry\" => %{\n                       \"coordinates\" => [\"-2.3353\", \"47.26095\"],\n                       \"type\" => \"Point\"\n                     },\n                     \"properties\" => %{\n                       \"name\" => \"Rond-point de l'Hippodrome\",\n                       \"station_id\" => \"1\",\n                       \"station_status\" => %{\n                         \"num_bikes_available\" => 0,\n                         \"num_docks_available\" => 0,\n                         \"a_field\" => \"coucou\",\n                         \"availability\" => 0\n                       }\n                     },\n                     \"type\" => \"Feature\"\n                   },\n                   %{\n                     \"geometry\" => %{\n                       \"coordinates\" => [\"-2.345135\", \"47.270352\"],\n                       \"type\" => \"Point\"\n                     },\n                     \"properties\" => %{\n                       \"name\" => \"Gare de Pornichet\",\n                       \"station_id\" => \"2\",\n                       \"station_status\" => %{\n                         \"num_bikes_available\" => 3,\n                         \"num_docks_available\" => 12,\n                         \"num_vehicles_available\" => 3,\n                         \"availability\" => 3\n                       }\n                     },\n                     \"type\" => \"Feature\"\n                   }\n                 ]\n               }\n    end\n\n    test \"station_information + failing station_status conversion\" do\n      gbfs_endpoint = \"gbfs.json\"\n\n      feeds = [\n        %{\"name\" => \"station_information\", \"url\" => \"station_information.json\"},\n        %{\"name\" => \"station_status\", \"url\" => \"station_status.json\"}\n      ]\n\n      set_gbfs_entrypoint_expect(gbfs_endpoint, feeds)\n      set_station_information_expect()\n      set_station_status_expect(\"bad response\")\n\n      geojsons = Transport.GbfsToGeojson.gbfs_geojsons(gbfs_endpoint, %{})\n\n      # if the station_status is not valid, you should still have a basic geojson\n      # from station_information\n      assert geojsons[\"stations\"] == simple_station_information_geojson()\n    end\n\n    test \"free-floating conversion\" do\n      gbfs_endpoint = \"gbfs.json\"\n\n      feeds = [\n        %{\"name\" => \"free_bike_status\", \"url\" => \"free_bike_status.json\"}\n      ]\n\n      set_gbfs_entrypoint_expect(gbfs_endpoint, feeds)\n      set_free_bike_status_expect()\n\n      geojsons = Transport.GbfsToGeojson.gbfs_geojsons(gbfs_endpoint, %{})\n\n      # Only one bike was kept, because the other one add a station_id, so it was not \"free floating\"\n      assert geojsons[\"free_floating\"] == %{\n               \"features\" => [\n                 %{\n                   \"geometry\" => %{\"coordinates\" => [5.723688, 45.195638], \"type\" => \"Point\"},\n                   \"properties\" => %{\"bike_id\" => \"bike1\", \"is_disabled\" => false, \"is_reserved\" => false},\n                   \"type\" => \"Feature\"\n                 }\n               ],\n               \"type\" => \"FeatureCollection\"\n             }\n    end\n\n    test \"geofencing conversion\" do\n      gbfs_endpoint = \"gbfs.json\"\n\n      feeds = [\n        %{\"name\" => \"geofencing_zones\", \"url\" => \"geofencing_zones.json\"}\n      ]\n\n      set_gbfs_entrypoint_expect(gbfs_endpoint, feeds)\n      set_geofencing_expect()\n\n      geojsons = Transport.GbfsToGeojson.gbfs_geojsons(gbfs_endpoint, %{})\n\n      assert geojsons[\"geofencing_zones\"] == %{\n               \"global_rules\" => [\n                 %{\"ride_end_allowed\" => true, \"ride_start_allowed\" => true, \"ride_through_allowed\" => true}\n               ],\n               \"type\" => \"FeatureCollection\",\n               \"features\" => [\n                 %{\n                   \"type\" => \"Feature\",\n                   \"geometry\" => %{\n                     \"type\" => \"MultiPolygon\",\n                     \"coordinates\" => [\n                       [[[0, 0], [0, 1], [1, 1], [0, 0]]]\n                     ]\n                   },\n                   \"properties\" => %{\n                     \"name\" => \"zone_0\"\n                   }\n                 }\n               ]\n             }\n    end\n\n    test \"endpoint unavailable\" do\n      gbfs_endpoint = \"gbfs.json\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:get!, fn ^gbfs_endpoint ->\n        %{status: 500, body: \"maintenance en cours\"}\n      end)\n\n      assert %{} == Transport.GbfsToGeojson.gbfs_geojsons(gbfs_endpoint, %{})\n    end\n  end\n\n  defp simple_station_information_geojson do\n    %{\n      \"type\" => \"FeatureCollection\",\n      \"features\" => [\n        %{\n          \"geometry\" => %{\n            \"coordinates\" => [\"-2.3353\", \"47.26095\"],\n            \"type\" => \"Point\"\n          },\n          \"properties\" => %{\n            \"name\" => \"Rond-point de l'Hippodrome\",\n            \"station_id\" => \"1\"\n          },\n          \"type\" => \"Feature\"\n        },\n        %{\n          \"geometry\" => %{\n            \"coordinates\" => [\"-2.345135\", \"47.270352\"],\n            \"type\" => \"Point\"\n          },\n          \"properties\" => %{\n            \"name\" => \"Gare de Pornichet\",\n            \"station_id\" => \"2\"\n          },\n          \"type\" => \"Feature\"\n        }\n      ]\n    }\n  end\n\n  defp set_gbfs_entrypoint_expect(entrypoint_url, feeds) do\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn ^entrypoint_url ->\n      %{status_code: 200, body: gbfs_entry_point(feeds)}\n    end)\n  end\n\n  defp gbfs_entry_point(feeds) do\n    %{\n      \"data\" => %{\n        \"fr\" => %{\n          \"feeds\" => feeds\n        }\n      },\n      \"version\" => \"2.3\"\n    }\n    |> Jason.encode!()\n  end\n\n  defp station_information(gbfs_version) do\n    base = \"\"\"\n    {\n      \"data\": {\n        \"stations\": [\n          {\n            \"lat\": \"47.26095\",\n            \"lon\": \"-2.3353\",\n            \"name\": \"Rond-point de l'Hippodrome\",\n            \"station_id\": \"1\"\n          },\n          {\n            \"lat\": \"47.270352\",\n            \"lon\": \"-2.345135\",\n            \"name\": \"Gare de Pornichet\",\n            \"station_id\": \"2\"\n          }\n        ]\n      }\n    }\n    \"\"\"\n\n    case gbfs_version do\n      \"3.0\" ->\n        stations =\n          base\n          |> Jason.decode!()\n          |> get_in([\"data\", \"stations\"])\n          |> Enum.map(fn %{\"name\" => name} = payload ->\n            Map.put(payload, \"name\", [%{\"language\" => \"fr\", \"text\" => name}])\n          end)\n\n        %{\"data\" => %{\"stations\" => stations}} |> Jason.encode!()\n\n      _ ->\n        base\n    end\n  end\n\n  defp set_station_information_expect do\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn \"station_information.json\" ->\n      %{\n        status_code: 200,\n        body: station_information(\"2.3\")\n      }\n    end)\n  end\n\n  defp set_station_information_30_expect do\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn \"station_information.json\" ->\n      %{\n        status_code: 200,\n        body: station_information(\"3.0\")\n      }\n    end)\n  end\n\n  defp set_station_status_expect(custom_response \\\\ nil) do\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn \"station_status.json\" ->\n      custom_response ||\n        %{\n          status_code: 200,\n          body: \"\"\"\n          {\n            \"data\": {\n              \"stations\": [\n                {\n                  \"num_bikes_available\": 0,\n                  \"num_docks_available\": 0,\n                  \"a_field\": \"coucou\",\n                  \"station_id\": \"1\"\n                },\n                {\n                  \"num_bikes_available\": 3,\n                  \"num_docks_available\": 12,\n                  \"num_vehicles_available\": 3,\n                  \"station_id\": \"2\"\n                },\n                {\n                  \"num_bikes_available\": 16,\n                  \"station_id\": \"does not exist\"\n                }\n              ]\n            }\n          }\n          \"\"\"\n        }\n    end)\n  end\n\n  defp set_free_bike_status_expect do\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn \"free_bike_status.json\" ->\n      %{\n        status_code: 200,\n        body: \"\"\"\n          {\n            \"data\": {\n                \"bikes\": [\n                    {\n                        \"bike_id\": \"bike1\",\n                        \"is_disabled\": false,\n                        \"is_reserved\": false,\n                        \"lat\": 45.195638,\n                        \"lon\": 5.723688\n                    },\n                    {\n                        \"vehicle_type_id\": \"ebike\",\n                        \"station_id\" : \"1\"\n                    }\n                ]\n            }\n        }\n        \"\"\"\n      }\n    end)\n  end\n\n  defp set_geofencing_expect do\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn \"geofencing_zones.json\" ->\n      %{\n        status_code: 200,\n        body: \"\"\"\n          {\n            \"data\": {\n                \"geofencing_zones\": {\n                    \"type\": \"FeatureCollection\",\n                    \"features\": [\n                        {\n                            \"type\": \"Feature\",\n                            \"geometry\": {\n                                \"type\": \"MultiPolygon\",\n                                \"coordinates\": [\n                                    [[[0,0],[0,1],[1,1],[0,0]]]]\n                            },\n                            \"properties\": {\n                                \"name\": \"zone_0\"\n                            }\n                        }\n                    ]\n                },\n                \"global_rules\": [{\n                  \"ride_start_allowed\": true,\n                  \"ride_end_allowed\": true,\n                  \"ride_through_allowed\": true\n                }]\n            }\n        }\n        \"\"\"\n      }\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/gtfs_data_test.exs",
    "content": "defmodule Transport.GTFSDataTest do\n  use ExUnit.Case, async: false\n  import DB.Factory\n  import Ecto.Query\n  import Transport.GTFSData, only: [list_views: 1]\n\n  @cluster_views_prefix \"gtfs_stops_clusters\"\n  @cluster_views_pattern @cluster_views_prefix <> \"%\"\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  def drop_views(pattern) do\n    pattern\n    |> list_views()\n    |> Enum.each(fn view_name ->\n      {:ok, _} = Ecto.Adapters.SQL.query(DB.Repo, \"drop materialized view #{view_name}\")\n    end)\n  end\n\n  # input: arrays of lat/lon\n  def insert_gtfs_stops(lat_lon_list) do\n    dataset = insert(:dataset, %{custom_title: \"Transports publics de Dehaven\", is_active: true})\n    resource = insert(:resource, dataset: dataset)\n    resource_history = insert(:resource_history, resource: resource)\n    data_import = insert(:data_import, resource_history: resource_history)\n\n    lat_lon_list\n    |> Enum.with_index()\n    |> Enum.each(fn {{lat, lon}, index} ->\n      index = index + 1\n\n      insert(:gtfs_stops,\n        data_import: data_import,\n        stop_lat: lat,\n        stop_lon: lon,\n        stop_name: \"L'arrêt #{index}\",\n        stop_id: \"LOC:#{String.pad_leading(index |> Integer.to_string(), 3, \"0\")}\"\n      )\n    end)\n\n    {data_import, resource, dataset}\n  end\n\n  test \"build_detailed for map\" do\n    {data_import, _resource, _dataset} = insert_gtfs_stops([{2.5, 48.5}])\n\n    assert Transport.GTFSData.build_detailed({3.333333, 2.333333, 48.866667, 48.266667}) == %{\n             features: [\n               %{\n                 geometry: %{coordinates: [48.5, 2.5], type: \"Point\"},\n                 properties: %{\n                   stop_id: \"LOC:001\",\n                   stop_name: \"L'arrêt 1\",\n                   di_id: data_import.id,\n                   d_title: \"Transports publics de Dehaven\",\n                   location_type: nil\n                 },\n                 type: \"Feature\"\n               }\n             ],\n             type: \"FeatureCollection\"\n           }\n  end\n\n  test \"build_detailed for API\" do\n    {data_import, resource, dataset} = insert_gtfs_stops([{2.5, 48.5}])\n\n    assert Transport.GTFSData.build_detailed({3.333333, 2.333333, 48.866667, 48.266667}, mode: :api_mode) == %{\n             features: [\n               %{\n                 geometry: %{coordinates: [48.5, 2.5], type: \"Point\"},\n                 properties: %{\n                   stop_id: \"LOC:001\",\n                   stop_name: \"L'arrêt 1\",\n                   data_import_id: data_import.id,\n                   dataset_id: dataset.id,\n                   dataset_title: \"Transports publics de Dehaven\",\n                   resource_id: resource.id,\n                   resource_title: \"GTFS.zip\",\n                   location_type: nil\n                 },\n                 type: \"Feature\"\n               }\n             ],\n             type: \"FeatureCollection\"\n           }\n  end\n\n  def get_view_data(view_name) do\n    query = from(s in view_name)\n\n    query\n    |> select([:cluster_lat, :cluster_lon, :count])\n    |> DB.Repo.all()\n  end\n\n  test \"create_if_not_exist_materialized_views\" do\n    drop_views(@cluster_views_pattern)\n\n    insert_gtfs_stops([{2.5, 48.5}])\n\n    Transport.GTFSData.create_if_not_exist_materialized_views()\n\n    view_names = list_views(@cluster_views_pattern)\n    expected_view_names = 1..12 |> Enum.map(&\"#{@cluster_views_prefix}_level_#{&1}\")\n    assert view_names |> Enum.sort() == expected_view_names |> Enum.sort()\n\n    # quick litmus test to verify we have something roughly working\n    view_names\n    |> Enum.each(fn view_name ->\n      [%{cluster_lat: _, cluster_lon: _, count: 1}] = get_view_data(view_name)\n    end)\n  end\n\n  test \"refresh_materialized_views\" do\n    drop_views(@cluster_views_pattern)\n    insert_gtfs_stops([{2.5, 48.5}])\n    Transport.GTFSData.create_if_not_exist_materialized_views()\n    [%{count: 1}] = get_view_data(@cluster_views_prefix <> \"_level_1\")\n    insert_gtfs_stops([{2.5, 48.5}])\n    [%{count: 1}] = get_view_data(@cluster_views_prefix <> \"_level_1\")\n    Transport.GTFSData.refresh_materialized_views()\n    [%{count: 2}] = get_view_data(@cluster_views_prefix <> \"_level_1\")\n  end\n\n  test \"build_clusters_json_encoded\" do\n    drop_views(@cluster_views_pattern)\n\n    insert_gtfs_stops([\n      {2.5, 48.5},\n      {2.6, 48.6},\n      {3.3, 48.6}\n    ])\n\n    # the views must not be created lazily anymore\n    assert_raise(Postgrex.Error, ~r/undefined_table/, fn ->\n      Transport.GTFSData.build_clusters_json_encoded(\n        {3.333333, 2.333333, 48.866667, 48.266667},\n        {0.5, 0.5}\n      )\n    end)\n\n    Transport.GTFSData.create_if_not_exist_materialized_views()\n\n    # format is expected exactly as is, without keys (to reduce load), on the javascript side\n    assert Jason.decode!(\n             Transport.GTFSData.build_clusters_json_encoded(\n               {3.333333, 2.333333, 48.866667, 48.266667},\n               {0.5, 0.5}\n             )\n           ) ==\n             [[2.426, 48.3398, 2], [3.0325, 48.3398, 1]]\n  end\n\n  test \"build_clusters_json_encoded with no data must not raise\" do\n    drop_views(@cluster_views_pattern)\n\n    insert_gtfs_stops([\n      {lat = 2.5, 48.5}\n    ])\n\n    Transport.GTFSData.create_if_not_exist_materialized_views()\n\n    # must not crash when nothing is in the bounding box\n    assert Jason.decode!(\n             Transport.GTFSData.build_clusters_json_encoded(\n               {lat + 1, lat + 2, 48.866667, 48.266667},\n               {0.5, 0.5}\n             )\n           ) ==\n             []\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/gtfs_diff_test.exs",
    "content": "defmodule Transport.GTFSDiffTest do\n  use ExUnit.Case, async: true\n\n  describe \"GTFS Diff\" do\n    test \"2 identical files\" do\n      unzip_1 = unzip(\"test/fixture/files/gtfs_diff/gtfs.zip\")\n      unzip_2 = unzip(\"test/fixture/files/gtfs_diff/gtfs.zip\")\n\n      for profile <- [\"core\", \"full\"] do\n        assert [] == diff(unzip_1, unzip_2, profile)\n      end\n    end\n\n    test \"rows order is ignored\" do\n      unzip_1 = unzip(\"test/fixture/files/gtfs_diff/gtfs.zip\")\n      unzip_2 = unzip(\"test/fixture/files/gtfs_diff/gtfs_change_order.zip\")\n\n      for profile <- [\"core\", \"full\"] do\n        assert [] == diff(unzip_1, unzip_2, profile)\n      end\n    end\n\n    test \"detect changes\" do\n      unzip_1 = unzip(\"test/fixture/files/gtfs_diff/gtfs.zip\")\n      unzip_2 = unzip(\"test/fixture/files/gtfs_diff/gtfs_modified_files.zip\")\n\n      for profile <- [\"core\", \"full\"] do\n        diff = diff(unzip_1, unzip_2, profile)\n\n        # calendar.txt is deleted\n        # calendar_dates.txt is created with its content (one line)\n        assert diff == [\n                 %{\n                   action: \"add\",\n                   file: \"calendar_dates.txt\",\n                   id: 0,\n                   identifier: %{filename: \"calendar_dates.txt\"},\n                   target: \"file\"\n                 },\n                 %{\n                   action: \"delete\",\n                   file: \"calendar.txt\",\n                   id: 1,\n                   identifier: %{filename: \"calendar.txt\"},\n                   target: \"file\"\n                 },\n                 %{\n                   action: \"add\",\n                   file: \"calendar_dates.txt\",\n                   id: 2,\n                   identifier: %{column: \"service_id\"},\n                   target: \"column\"\n                 },\n                 %{\n                   action: \"add\",\n                   file: \"calendar_dates.txt\",\n                   id: 3,\n                   identifier: %{\"service_id\" => \"service2\"},\n                   new_value: %{\"service_id\" => \"service2\"},\n                   target: \"row\"\n                 }\n               ]\n      end\n    end\n\n    test \"modified columns\" do\n      unzip_1 = unzip(\"test/fixture/files/gtfs_diff/gtfs.zip\")\n      unzip_2 = unzip(\"test/fixture/files/gtfs_diff/gtfs_modified_columns.zip\")\n\n      for profile <- [\"core\", \"full\"] do\n        diff = diff(unzip_1, unzip_2, profile)\n\n        # a column in calendar.txt is deleted\n        # a column in agency.txt is added and 1 row has a value for the new column\n        assert diff == [\n                 %{\n                   action: \"add\",\n                   file: \"agency.txt\",\n                   id: 0,\n                   identifier: %{column: \"agency_nickname\"},\n                   target: \"column\"\n                 },\n                 %{action: \"delete\", file: \"calendar.txt\", id: 1, identifier: %{column: \"end_date\"}, target: \"column\"},\n                 %{\n                   action: \"update\",\n                   file: \"agency.txt\",\n                   id: 2,\n                   identifier: %{\"agency_id\" => \"agency\"},\n                   initial_value: %{\"agency_nickname\" => \"\"},\n                   new_value: %{\"agency_nickname\" => \"little_agency\"},\n                   target: \"row\"\n                 }\n               ]\n      end\n    end\n\n    test \"modified rows\" do\n      unzip_1 = unzip(\"test/fixture/files/gtfs_diff/gtfs.zip\")\n      unzip_2 = unzip(\"test/fixture/files/gtfs_diff/gtfs_modified_rows.zip\")\n\n      for profile <- [\"core\", \"full\"] do\n        diff = diff(unzip_1, unzip_2, profile)\n\n        assert diff == [\n                 %{\n                   action: \"add\",\n                   file: \"routes.txt\",\n                   id: 0,\n                   identifier: %{\"route_id\" => \"1000\"},\n                   new_value: %{\n                     \"agency_id\" => \"agency\",\n                     \"route_color\" => \"000000\",\n                     \"route_desc\" => \"\",\n                     \"route_id\" => \"1000\",\n                     \"route_long_name\" => \"101\",\n                     \"route_short_name\" => \"101\",\n                     \"route_text_color\" => \"CCCCCC\",\n                     \"route_type\" => \"3\",\n                     \"route_url\" => \"\"\n                   },\n                   target: \"row\"\n                 },\n                 %{action: \"delete\", file: \"stops.txt\", id: 1, identifier: %{\"stop_id\" => \"near1\"}, target: \"row\"},\n                 %{\n                   action: \"update\",\n                   file: \"stops.txt\",\n                   id: 2,\n                   identifier: %{\"stop_id\" => \"close2\"},\n                   initial_value: %{\"stop_lon\" => \"2.449385\"},\n                   new_value: %{\"stop_lon\" => \"2.443\"},\n                   target: \"row\"\n                 }\n               ]\n      end\n    end\n  end\n\n  describe \"dump_diff\" do\n    test \"empty diff, file is created\" do\n      tmp_path = System.tmp_dir!() |> Path.join(Ecto.UUID.generate())\n      refute File.exists?(tmp_path)\n      Transport.GTFSDiff.dump_diff([], tmp_path)\n      assert File.exists?(tmp_path)\n\n      assert [[\"id\", \"file\", \"action\", \"target\", \"identifier\", \"initial_value\", \"new_value\", \"note\"]] ==\n               read_csv(tmp_path)\n\n      File.rm(tmp_path)\n    end\n\n    test \"simple diff\" do\n      diff = [%{action: \"delete\", file: \"stops.txt\", id: 1, identifier: %{\"stop_id\" => \"near1\"}, target: \"row\"}]\n\n      diff_from_csv = [\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"stops.txt\",\n          \"id\" => \"1\",\n          \"identifier\" => %{\"stop_id\" => \"near1\"} |> Jason.encode!(),\n          \"target\" => \"row\",\n          \"initial_value\" => \"\",\n          \"new_value\" => \"\",\n          \"note\" => \"\"\n        }\n      ]\n\n      tmp_path = System.tmp_dir!() |> Path.join(Ecto.UUID.generate())\n      refute File.exists?(tmp_path)\n      Transport.GTFSDiff.dump_diff(diff, tmp_path)\n      assert File.exists?(tmp_path)\n\n      assert [\n               [\"id\", \"file\", \"action\", \"target\", \"identifier\", \"initial_value\", \"new_value\", \"note\"],\n               [\"1\", \"stops.txt\", \"delete\", \"row\", ~s({\"stop_id\":\"near1\"}), \"\", \"\", \"\"]\n             ] == read_csv(tmp_path)\n\n      assert diff_from_csv ==\n               File.read!(tmp_path) |> Transport.GTFSDiff.parse_diff_output()\n\n      File.rm(tmp_path)\n    end\n  end\n\n  defp unzip(path) do\n    zip_file = Unzip.LocalFile.open(path)\n    {:ok, unzip} = Unzip.new(zip_file)\n    unzip\n  end\n\n  defp read_csv(filepath) do\n    filepath |> File.read!() |> NimbleCSV.RFC4180.parse_string(skip_headers: false)\n  end\n\n  defp diff(unzip_1, unzip_2, profile), do: Transport.GTFSDiff.diff(unzip_1, unzip_2, profile, nil, \"fr\")\nend\n"
  },
  {
    "path": "apps/transport/test/transport/gtfs_query_test.exs",
    "content": "defmodule Transport.GtfsQueryTest do\n  use ExUnit.Case\n  import DB.Factory\n  import Transport.Jobs.GtfsToDB\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  defp insert_a_departure(opts) do\n    data_import_id = Keyword.fetch!(opts, :data_import_id)\n    departure_time = Keyword.fetch!(opts, :departure_time)\n    trip_id = Keyword.get(opts, :trip_id, \"trip_1\")\n    stop_id = Keyword.get(opts, :stop_id, \"stop_1\")\n    service_id = Keyword.get(opts, :service_id, \"service_1\")\n    route_id = Keyword.get(opts, :route_id, \"route_1\")\n    days = Keyword.get(opts, :days, [1, 2, 3, 4, 5, 6, 7])\n\n    :gtfs_stop_times\n    |> insert(\n      data_import_id: data_import_id,\n      trip_id: trip_id,\n      departure_time: departure_time,\n      stop_id: stop_id\n    )\n\n    :gtfs_trips\n    |> insert(\n      data_import_id: data_import_id,\n      service_id: service_id,\n      trip_id: trip_id,\n      route_id: route_id\n    )\n\n    :gtfs_calendar\n    |> insert(\n      data_import_id: data_import_id,\n      service_id: service_id,\n      start_date: Date.new!(2022, 1, 1),\n      end_date: Date.new!(2022, 1, 31),\n      days: days\n    )\n\n    %{\n      data_import_id: data_import_id,\n      departure_time: departure_time,\n      trip_id: trip_id,\n      stop_id: stop_id,\n      service_id: service_id,\n      route_id: route_id,\n      days: days\n    }\n  end\n\n  describe \"compute next departures\" do\n    test \"very simple case\" do\n      departure_time = \"08:05:00\" |> cast_binary_to_interval()\n\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      %{\n        trip_id: trip_id,\n        stop_id: stop_id,\n        service_id: service_id,\n        route_id: route_id\n      } = insert_a_departure(data_import_id: data_import_id, departure_time: departure_time)\n\n      # find one departure in the next 10 minutes after 8am\n      [next_departure] = Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-01 08:00:00Z], 10)\n\n      assert %{\n               \"departure\" => ~N[2022-01-01 08:05:00.000000],\n               \"route_id\" => ^route_id,\n               \"service_id\" => ^service_id,\n               \"stop_id\" => ^stop_id,\n               \"trip_id\" => ^trip_id\n             } = next_departure\n\n      # find no departure after 8:10am\n      assert [] = Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-01 08:10:00Z], 10)\n    end\n\n    test \"handle calendar_dates exception (remove date)\" do\n      departure_time = \"08:05:00\" |> cast_binary_to_interval()\n\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      %{service_id: service_id, stop_id: stop_id} =\n        insert_a_departure(data_import_id: data_import_id, departure_time: departure_time)\n\n      # add exception for 2022-01-15\n      :gtfs_calendar_dates\n      |> insert(\n        data_import_id: data_import_id,\n        service_id: service_id,\n        date: Date.new!(2022, 1, 15),\n        # exception_type 2 means \"remove\"\n        exception_type: 2\n      )\n\n      # find one departure the 14th and the 16th\n      assert [_next_departure] =\n               Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-14 08:00:00Z], 10)\n\n      assert [_next_departure] =\n               Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-16 08:00:00Z], 10)\n\n      # find no departure the 15th\n      assert [] = Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-15 08:00:00Z], 10)\n    end\n\n    test \"handle calendar_dates exception (add date)\" do\n      departure_time = \"08:05:00\" |> cast_binary_to_interval()\n\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      :gtfs_stop_times\n      |> insert(\n        data_import_id: data_import_id,\n        trip_id: trip_id = \"trip_1\",\n        departure_time: departure_time,\n        stop_id: stop_id = \"stop_1\"\n      )\n\n      :gtfs_trips\n      |> insert(\n        data_import_id: data_import_id,\n        service_id: service_id = \"service_1\",\n        trip_id: trip_id,\n        route_id: route_id = \"route_1\"\n      )\n\n      # add exception for 2022-01-15\n      :gtfs_calendar_dates\n      |> insert(\n        data_import_id: data_import_id,\n        service_id: service_id,\n        date: Date.new!(2022, 1, 15),\n        # exception_type 1 means \"add\"\n        exception_type: 1\n      )\n\n      [next_departure] = Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-15 08:00:00Z], 10)\n\n      assert %{\n               \"departure\" => ~N[2022-01-15 08:05:00.000000],\n               \"route_id\" => ^route_id,\n               \"service_id\" => ^service_id,\n               \"stop_id\" => ^stop_id,\n               \"trip_id\" => ^trip_id\n             } = next_departure\n    end\n\n    test \"handle calendar_dates exception (add date) when there is an associated calendar\" do\n      departure_time = \"08:05:00\" |> cast_binary_to_interval()\n\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      # sundays only\n      %{service_id: service_id, stop_id: stop_id, route_id: route_id, trip_id: trip_id} =\n        insert_a_departure(data_import_id: data_import_id, departure_time: departure_time, days: [7])\n\n      # add exception for 2022-01-15 (a saturday)\n      :gtfs_calendar_dates\n      |> insert(\n        data_import_id: data_import_id,\n        service_id: service_id,\n        date: Date.new!(2022, 1, 15),\n        # exception_type 1 means \"add\"\n        exception_type: 1\n      )\n\n      # the added exception day\n      [next_departure] = Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-15 08:00:00Z], 10)\n\n      assert %{\n               \"departure\" => ~N[2022-01-15 08:05:00.000000],\n               \"route_id\" => ^route_id,\n               \"service_id\" => ^service_id,\n               \"stop_id\" => ^stop_id,\n               \"trip_id\" => ^trip_id\n             } = next_departure\n\n      # the regular schedule (a sunday)\n      [next_departure] = Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-16 08:00:00Z], 10)\n\n      assert %{\n               \"departure\" => ~N[2022-01-16 08:05:00.000000],\n               \"route_id\" => ^route_id,\n               \"service_id\" => ^service_id,\n               \"stop_id\" => ^stop_id,\n               \"trip_id\" => ^trip_id\n             } = next_departure\n\n      # nothing the next day (a monday)\n      assert [] = Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-17 08:00:00Z], 10)\n    end\n\n    test \"filter departures on data_import_id\" do\n      departure_time_1 = \"08:05:00\" |> cast_binary_to_interval()\n      departure_time_2 = \"08:06:00\" |> cast_binary_to_interval()\n\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id_1} = :data_import |> insert(resource_history_id: resource_history_id)\n      %{id: data_import_id_2} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      %{service_id: service_id, stop_id: stop_id, route_id: route_id, trip_id: trip_id} =\n        insert_a_departure(data_import_id: data_import_id_1, departure_time: departure_time_1)\n\n      insert_a_departure(data_import_id: data_import_id_2, departure_time: departure_time_2)\n\n      # data_import_1\n      [next_departure] = Transport.GtfsQuery.next_departures(stop_id, data_import_id_1, ~U[2022-01-15 08:00:00Z], 10)\n\n      assert %{\n               \"departure\" => ~N[2022-01-15 08:05:00.000000],\n               \"route_id\" => ^route_id,\n               \"service_id\" => ^service_id,\n               \"stop_id\" => ^stop_id,\n               \"trip_id\" => ^trip_id\n             } = next_departure\n\n      # data_import_2\n      [next_departure] = Transport.GtfsQuery.next_departures(stop_id, data_import_id_2, ~U[2022-01-15 08:00:00Z], 10)\n\n      assert %{\n               \"departure\" => ~N[2022-01-15 08:06:00.000000],\n               \"route_id\" => ^route_id,\n               \"service_id\" => ^service_id,\n               \"stop_id\" => ^stop_id,\n               \"trip_id\" => ^trip_id\n             } = next_departure\n    end\n\n    test \"two departures from different trips on the same stop\" do\n      departure_time_1 = \"08:05:00\" |> cast_binary_to_interval()\n      departure_time_2 = \"08:06:00\" |> cast_binary_to_interval()\n\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      %{service_id: service_id, stop_id: stop_id, route_id: route_id, trip_id: trip_id} =\n        insert_a_departure(data_import_id: data_import_id, departure_time: departure_time_1)\n\n      %{service_id: service_id_2, route_id: route_id_2, trip_id: trip_id_2} =\n        insert_a_departure(\n          data_import_id: data_import_id,\n          departure_time: departure_time_2,\n          trip_id: \"other_trip\",\n          route_id: \"other_route\",\n          service_id: \"service_2\"\n        )\n\n      [departure1, departure2] =\n        Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-15 08:00:00Z], 10)\n\n      assert %{\n               \"departure\" => ~N[2022-01-15 08:05:00.000000],\n               \"route_id\" => ^route_id,\n               \"service_id\" => ^service_id,\n               \"stop_id\" => ^stop_id,\n               \"trip_id\" => ^trip_id\n             } = departure1\n\n      assert %{\n               \"departure\" => ~N[2022-01-15 08:06:00.000000],\n               \"route_id\" => ^route_id_2,\n               \"service_id\" => ^service_id_2,\n               \"stop_id\" => ^stop_id,\n               \"trip_id\" => ^trip_id_2\n             } = departure2\n    end\n\n    test \"a departure with a departure_time > 24:00\" do\n      departure_time = \"26:05:00\" |> cast_binary_to_interval()\n\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      %{stop_id: stop_id} =\n        insert_a_departure(data_import_id: data_import_id, departure_time: departure_time, days: [7])\n\n      # service_id is active on sundays (2022-01-16 for example)\n      # as the departure_time is > 24:00, the actual departure is the next day (2022-01-17 for example)\n      [departure] = Transport.GtfsQuery.next_departures(stop_id, data_import_id, ~U[2022-01-17 02:00:00Z], 10)\n\n      # actual time is 26:05 - 24:00 => 02:05\n      assert %{\"departure\" => ~N[2022-01-17 02:05:00.000000]} = departure\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/gtfs_rt_test.exs",
    "content": "defmodule Transport.GTFSRTTest do\n  alias TransitRealtime.{TimeRange, TranslatedString}\n  alias Transport.GTFSRT\n  use ExUnit.Case, async: true\n  import Mox\n  import ExUnit.CaptureLog\n  setup :verify_on_exit!\n\n  @sample_file \"#{__DIR__}/../fixture/files/bibus-brest-gtfs-rt-alerts.pb\"\n  @url \"https://example.com/gtfs-rt\"\n\n  doctest GTFSRT, import: true\n\n  describe \"decode_remote_feed\" do\n    test \"it works\" do\n      setup_gtfs_rt_feed(@url)\n      {:ok, feed} = GTFSRT.decode_remote_feed(@url)\n      message = feed.entity |> List.first()\n\n      assert message.id == \"2ea09850-74d9-4db7-a537-d97d821956e8\"\n      assert message.vehicle == nil\n      assert message.trip_update == nil\n      assert message.alert.cause == :CONSTRUCTION\n\n      assert message.alert.description_text.translation |> List.first() |> Map.get(:text) =~\n               ~r/Prolongation des travaux/\n    end\n\n    test \"cannot decode Protobuf\" do\n      setup_http_response(@url, {:ok, %HTTPoison.Response{status_code: 200, body: ~s({\"foo\": 42})}})\n\n      {{:error, \"Could not decode Protobuf\"}, _} = with_log(fn -> GTFSRT.decode_remote_feed(@url) end)\n    end\n\n    test \"502 HTTP status code\" do\n      setup_http_response(@url, {:ok, %HTTPoison.Response{status_code: 502, body: \"\"}})\n\n      assert {:error, \"Got a non 200 HTTP status code: 502\"} == GTFSRT.decode_remote_feed(@url)\n    end\n\n    test \"HTTPoison error\" do\n      reason =\n        {:tls_alert,\n         {:certificate_expired,\n          ~c\"TLS client: In state certify at ssl_handshake.erl:2065 generated CLIENT ALERT: Fatal - Certificate Expired\\n\"}}\n\n      setup_http_response(@url, {:error, %HTTPoison.Error{reason: reason}})\n\n      {:error, reason} = GTFSRT.decode_remote_feed(@url)\n      assert reason =~ ~r\"^Got an HTTP error:\"\n    end\n  end\n\n  test \"timestamp\" do\n    setup_gtfs_rt_feed(@url)\n    {:ok, feed} = GTFSRT.decode_remote_feed(@url)\n    assert GTFSRT.timestamp(feed) == ~U[2021-12-16 15:29:02Z]\n  end\n\n  test \"count_entities\" do\n    setup_gtfs_rt_feed(@url)\n    {:ok, feed} = GTFSRT.decode_remote_feed(@url)\n    assert %{service_alerts: 12, trip_updates: 0, vehicle_positions: 0} == GTFSRT.count_entities(feed)\n  end\n\n  test \"service_alerts\" do\n    setup_gtfs_rt_feed(@url)\n    {:ok, feed} = GTFSRT.decode_remote_feed(@url)\n    assert GTFSRT.has_service_alerts?(feed)\n    assert Enum.count(GTFSRT.service_alerts(feed)) == 12\n  end\n\n  test \"trip_updates\" do\n    setup_gtfs_rt_feed(@url)\n    {:ok, feed} = GTFSRT.decode_remote_feed(@url)\n    assert Enum.empty?(GTFSRT.trip_updates(feed))\n  end\n\n  test \"vehicle_positions\" do\n    setup_gtfs_rt_feed(@url)\n    {:ok, feed} = GTFSRT.decode_remote_feed(@url)\n    assert Enum.empty?(GTFSRT.vehicle_positions(feed))\n  end\n\n  test \"fetch_translation\" do\n    assert GTFSRT.fetch_translation(\n             %TranslatedString.Translation{language: \"fr\", text: \"bonjour\"},\n             \"fr\"\n           ) == \"bonjour\"\n\n    assert GTFSRT.fetch_translation(%TranslatedString.Translation{language: nil, text: \"bonjour\"}, \"fr\") ==\n             \"bonjour\"\n\n    assert GTFSRT.fetch_translation(\n             %TranslatedString.Translation{language: \"fr\", text: \"bonjour\"},\n             \"es\"\n           ) == nil\n  end\n\n  test \"best_translation\" do\n    assert GTFSRT.best_translation(\n             %TranslatedString{\n               translation: [%TranslatedString.Translation{language: \"fr\", text: \"bonjour\"}]\n             },\n             \"fr\"\n           ) == \"bonjour\"\n\n    assert GTFSRT.best_translation(\n             %TranslatedString{\n               translation: [\n                 %TranslatedString.Translation{language: \"fr\", text: \"bonjour\"},\n                 %TranslatedString.Translation{language: \"en\", text: \"hello\"}\n               ]\n             },\n             \"en\"\n           ) == \"hello\"\n\n    assert GTFSRT.best_translation(\n             %TranslatedString{\n               translation: [\n                 %TranslatedString.Translation{language: \"fr\", text: \"bonjour\"},\n                 %TranslatedString.Translation{language: \"en\", text: \"hello\"}\n               ]\n             },\n             \"fr\"\n           ) == \"bonjour\"\n\n    assert GTFSRT.best_translation(\n             %TranslatedString{\n               translation: [%TranslatedString.Translation{language: nil, text: \"bonjour\"}]\n             },\n             \"fr\"\n           ) == \"bonjour\"\n  end\n\n  test \"current?\" do\n    assert GTFSRT.current?(timerange(-5, nil))\n    assert GTFSRT.current?(timerange(-5, 5))\n    assert GTFSRT.current?(timerange(nil, 5))\n    refute GTFSRT.current?(timerange(-10, -5))\n    refute GTFSRT.current?(timerange(10, nil))\n    refute GTFSRT.current?(timerange(10, 20))\n  end\n\n  test \"active?\" do\n    assert GTFSRT.active?([])\n    assert GTFSRT.active?([timerange(nil, 5)])\n\n    assert GTFSRT.active?([\n             timerange(-10, -5),\n             timerange(nil, 5)\n           ])\n\n    refute GTFSRT.active?([timerange(-10, -5)])\n  end\n\n  test \"current_active_period\" do\n    assert GTFSRT.current_active_period([\n             timerange(-10, -5)\n           ]) == nil\n\n    %{start: start, end: end_date} = tr = timerange(-10, 5)\n\n    assert GTFSRT.current_active_period([tr]) == %{\n             start: start |> DateTime.from_unix!(),\n             end: end_date |> DateTime.from_unix!()\n           }\n  end\n\n  test \"service_alerts_for_display\" do\n    setup_gtfs_rt_feed(@url)\n    {:ok, feed} = GTFSRT.decode_remote_feed(@url)\n\n    assert %{\n             cause: :CONSTRUCTION,\n             current_active_period: nil,\n             description_text:\n               \"MAJ 22/11, L 45, Prolongation des travaux rue de Kermaria, déviation en place jusqu'au 24 décembre.\\nArrêts non desservis : Pen ar C'Hleuz et Kermaria\\nArrêt de report : poteau provisoire\",\n             effect: :DETOUR,\n             header_text: \"L 45 Prolongation des travaux rue de Kermaria jusqu'au 24/12\",\n             is_active: false,\n             url: \"https://www.bibus.fr/deviation/20265cf9-6a99-403e-9ddb-4290b852c00a.pdf\"\n           } == feed |> GTFSRT.service_alerts_for_display() |> List.first()\n  end\n\n  @tag :ci_only_on_mondays\n  test \".proto file is up-to-date\" do\n    normalize_whitespace = fn value ->\n      String.trim(Regex.replace(~r/\\s*/u, value, \"\"))\n    end\n\n    remote_content =\n      HTTPoison.get!(\"https://raw.githubusercontent.com/google/transit/master/gtfs-realtime/proto/gtfs-realtime.proto\").body\n\n    local_content = File.read!(\"#{__DIR__}/../../lib/transport/protobuf/gtfs-realtime.proto\")\n\n    assert normalize_whitespace.(remote_content) == normalize_whitespace.(local_content),\n           \"Protobuf file seems to have been updated. Consider updating it. See https://github.com/google/transit/tree/master/gtfs-realtime/proto and https://github.com/etalab/transport-site/issues/3891\"\n  end\n\n  def timerange(start_date, end_date) do\n    %TimeRange{start: unix_seconds_delta(start_date), end: unix_seconds_delta(end_date)}\n  end\n\n  defp unix_seconds_delta(nil), do: nil\n\n  defp unix_seconds_delta(seconds) when is_integer(seconds) do\n    DateTime.utc_now() |> DateTime.add(seconds, :second) |> DateTime.to_unix()\n  end\n\n  defp setup_http_response(url, response) do\n    Transport.HTTPoison.Mock |> expect(:get, fn ^url, [], follow_redirect: true -> response end)\n  end\n\n  defp setup_gtfs_rt_feed(url) do\n    setup_http_response(url, {:ok, %HTTPoison.Response{status_code: 200, body: File.read!(@sample_file)}})\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/history_fetcher_test.exs",
    "content": "defmodule Transport.History.FetcherTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"Fetcher.Null\" do\n    test \"history_resources\" do\n      assert [] == Transport.History.Fetcher.Null.history_resources(insert(:dataset))\n    end\n  end\n\n  describe \"Fetcher.Database\" do\n    test \"history_resources\" do\n      dataset = insert(:dataset)\n      resource = insert(:resource, dataset: dataset)\n      other_resource_same_dataset = insert(:resource, dataset: dataset)\n      other_resource = insert(:resource, dataset: insert(:dataset))\n\n      resource_history = insert(:resource_history, resource_id: resource.id, payload: %{})\n      mv_1 = insert(:multi_validation, resource_history_id: resource_history.id)\n      insert(:resource_metadata, multi_validation_id: mv_1.id, metadata: %{\"a\" => 1})\n\n      mv_2 = insert(:multi_validation, resource_history_id: resource_history.id)\n      insert(:resource_metadata, multi_validation_id: mv_2.id, metadata: %{\"a\" => 2})\n\n      # resource_id is nil, but dataset_id is filled in the payload => ok\n      insert(:resource_history, resource_id: nil, payload: %{\"dataset_id\" => dataset.id})\n\n      latest_resource_history =\n        insert(:resource_history, resource_id: other_resource_same_dataset.id, payload: %{\"dataset_id\" => dataset.id})\n\n      # Should be ignored\n      insert(:resource_history, resource_id: other_resource.id, payload: %{})\n\n      resources_history =\n        Transport.History.Fetcher.Database.history_resources(dataset,\n          max_records: 25,\n          preload_validations: true,\n          only_metadata: false,\n          fetch_mode: :all\n        )\n\n      assert length(resources_history) == 3\n\n      # check results are ordered by descending insertion date\n      assert resources_history |> Enum.at(0) |> Map.get(:id) == latest_resource_history.id\n\n      # check you can access metadata if present\n      rh_with_metadata = resources_history |> Enum.find(&(&1.id == resource_history.id))\n      [validation] = rh_with_metadata.validations\n      assert validation.metadata.metadata == %{\"a\" => 2}\n\n      assert Enum.count(\n               Transport.History.Fetcher.Database.history_resources(dataset,\n                 max_records: 1,\n                 preload_validations: true,\n                 only_metadata: false,\n                 fetch_mode: :all\n               )\n             ) == 1\n\n      assert Transport.History.Fetcher.Database.history_resources(insert(:dataset),\n               max_records: 25,\n               preload_validations: true,\n               only_metadata: false,\n               fetch_mode: :all\n             ) == []\n\n      # multi_validation details are not fetched when `only_metadata == true`\n      Enum.each([true, false], fn only_metadata ->\n        resources_history =\n          Transport.History.Fetcher.Database.history_resources(dataset,\n            max_records: 25,\n            preload_validations: true,\n            only_metadata: only_metadata,\n            fetch_mode: :all\n          )\n\n        rh_with_metadata = resources_history |> Enum.find(&(&1.id == resource_history.id))\n        [validation] = rh_with_metadata.validations\n        assert Map.has_key?(validation, :inserted_at) == not only_metadata\n      end)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/import_data_service_test.exs",
    "content": "defmodule Transport.ImportDataServiceTest do\n  use ExUnit.Case, async: true\n  use TransportWeb.DatabaseCase, cleanup: [:datasets]\n  use TransportWeb.ExternalCase\n  alias Transport.ImportData\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(\n      Datagouvfr.Client.CommunityResources.Mock,\n      Datagouvfr.Client.StubCommunityResources\n    )\n\n    Mox.stub_with(Transport.AvailabilityChecker.Mock, Transport.AvailabilityChecker.Dummy)\n    Mox.stub_with(Hasher.Mock, Hasher.Dummy)\n    :ok\n  end\n\n  describe \"import_from_data_gouv\" do\n    test \"import dataset with GTFS format\" do\n      resource_url = \"https://si.eurometropolemetz.eu/fiches/opendata/gtfs_current.zip\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:get!, fn \"https://demo.data.gouv.fr/api/1/datasets/transport-donnees-gtfs/\", _, _ ->\n        %{status: 200, body: ~s({\n          \"id\": \"546609c1c751df1a6f6c8d07\",\n          \"resources\": [\n              {\n                \"filetype\": \"remote\",\n                \"type\": \"main\",\n                \"format\": \"gtfs\",\n                \"latest\": \"https://demo.data.gouv.fr/fr/datasets/r/9bff120f-d1ba-4753-83cb-6d598ebe2e60\",\n                \"url\": \"#{resource_url}\",\n                \"id\": \"9bff120f-d1ba-4753-83cb-6d598ebe2e60\"\n              }\n          ],\n          \"slug\": \"transport-donnees-gtfs\"\n        })}\n      end)\n\n      assert {:ok, dataset} = ImportData.import_from_data_gouv(\"transport-donnees-gtfs\", \"public-transit\")\n\n      assert List.first(dataset[\"resources\"])[\"url\"] == resource_url\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/import_data_test.exs",
    "content": "defmodule Transport.ImportDataTest do\n  # NOTE: temporarily set to false, until it doesn't use with_mock anymore\n  use ExUnit.Case, async: false\n  alias Transport.ImportData\n  import Mock\n  import Mox\n  import DB.Factory\n  import ExUnit.CaptureLog\n  import Ecto.Query\n\n  doctest ImportData, import: true\n\n  setup :verify_on_exit!\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n\n    # The national dataset is pre-inserted in the DB via a migration\n    assert DB.Region |> where([r], r.nom == \"National\") |> DB.Repo.aggregate(:count) == 1\n    Mox.stub_with(Transport.HTTPoison.Mock, HTTPoison)\n    Mox.stub_with(Transport.AvailabilityChecker.Mock, Transport.AvailabilityChecker)\n    Mox.stub_with(Hasher.Mock, Hasher.Dummy)\n\n    :ok\n  end\n\n  def http_get_mock_200(datagouv_id, payload \\\\ nil) do\n    fn url, [], hackney: [follow_redirect: true] ->\n      base_url = Application.fetch_env!(:transport, :datagouvfr_site)\n      expected_url = \"#{base_url}/api/1/datasets/#{datagouv_id}/\"\n      assert url == expected_url\n\n      payload = payload || generate_dataset_payload(datagouv_id)\n\n      %HTTPoison.Response{body: Jason.encode!(payload), status_code: 200}\n    end\n  end\n\n  def http_get_mock_404(datagouv_id) do\n    fn url, [], hackney: [follow_redirect: true] ->\n      base_url = Application.fetch_env!(:transport, :datagouvfr_site)\n      expected_url = \"#{base_url}/api/1/datasets/#{datagouv_id}/\"\n      assert url == expected_url\n\n      %HTTPoison.Response{body: \"erreur 404, page non trouvée\", status_code: 404}\n    end\n  end\n\n  def http_stream_mock do\n    fn _url ->\n      {:ok,\n       %{\n         status: 200,\n         hash: \"resource1_hash\"\n       }}\n    end\n  end\n\n  def http_head_mock do\n    fn _url, _, _ ->\n      {:ok, %HTTPoison.Response{status_code: 200}}\n    end\n  end\n\n  def db_count(type) do\n    DB.Repo.aggregate(type, :count, :id)\n  end\n\n  defp mock_data_gouv(datagouv_id, dataset_payload) do\n    with_mock HTTPoison, get!: http_get_mock_200(datagouv_id, dataset_payload), head: http_head_mock() do\n      with_mock Datagouvfr.Client.CommunityResources, get: fn _ -> {:ok, []} end do\n        with_mock HTTPStreamV2, fetch_status_and_hash: http_stream_mock() do\n          ImportData.import_all_datasets()\n        end\n      end\n    end\n  end\n\n  defp list_resources do\n    DB.Resource\n    |> order_by([r], r.id)\n    |> DB.Repo.all()\n    |> Enum.map(fn resource -> {resource.id, resource.url} end)\n  end\n\n  test \"hello world des imports\" do\n    insert(:dataset, datagouv_id: datagouv_id = \"dataset1_id\")\n\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Resource) == 0\n\n    with_mock HTTPoison, get!: http_get_mock_200(datagouv_id), head: http_head_mock() do\n      with_mock Datagouvfr.Client.CommunityResources, get: fn _ -> {:ok, []} end do\n        with_mock HTTPStreamV2, fetch_status_and_hash: http_stream_mock() do\n          logs = capture_log([level: :info], fn -> ImportData.import_all_datasets() end)\n\n          assert_called_exactly(HTTPoison.get!(:_, :_, :_), 1)\n\n          # for each resource, 1 head request is made to check for availability\n          assert_called_exactly(HTTPoison.head(:_, :_, :_), 1)\n          assert_called_exactly(Datagouvfr.Client.CommunityResources.get(:_), 1)\n\n          # import is a success\n          assert logs =~ \"all datasets have been reimported (0 failures / 1)\"\n        end\n      end\n    end\n\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Resource) == 1\n  end\n\n  test \"import fails when datagouv responds a 404\" do\n    insert(:dataset, datagouv_id: datagouv_id = \"dataset1_id\")\n\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Resource) == 0\n\n    with_mock HTTPoison, get!: http_get_mock_404(datagouv_id), head: http_head_mock() do\n      with_mock Datagouvfr.Client.CommunityResources, get: fn _ -> {:ok, []} end do\n        with_mock HTTPStreamV2, fetch_status_and_hash: http_stream_mock() do\n          logs = capture_log([level: :info], fn -> ImportData.import_all_datasets() end)\n          assert_called_exactly(HTTPoison.get!(:_, :_, :_), 1)\n          assert logs =~ \"all datasets have been reimported (1 failures / 1)\"\n        end\n      end\n    end\n\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Resource) == 0\n  end\n\n  test \"what happens with resources when a dataset is reimported multiple times\" do\n    insert(:dataset, datagouv_id: datagouv_id = \"dataset1_id\")\n\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Resource) == 0\n\n    with_mock HTTPoison, get!: http_get_mock_200(datagouv_id), head: http_head_mock() do\n      with_mock Datagouvfr.Client.CommunityResources, get: fn _ -> {:ok, []} end do\n        with_mock HTTPStreamV2, fetch_status_and_hash: http_stream_mock() do\n          ImportData.import_all_datasets()\n        end\n      end\n    end\n\n    assert db_count(DB.Dataset) == 1\n\n    [resource] = DB.Resource |> DB.Repo.all()\n    assert Map.get(resource, :title) == \"resource1\"\n    assert Map.get(resource, :filetype) == \"remote\"\n    assert Map.get(resource, :type) == \"main\"\n    assert Map.get(resource, :display_position) == 0\n    resource_id = Map.get(resource, :id)\n\n    # import 2\n    payload_2 =\n      generate_dataset_payload(\n        datagouv_id,\n        generate_resources_payload(\n          title: new_title = \"new title !!! fresh !!!\",\n          url: \"http://localhost:4321/resource1\",\n          id: new_datagouv_id = \"resource2_id\"\n        )\n      )\n\n    with_mock HTTPoison, get!: http_get_mock_200(datagouv_id, payload_2), head: http_head_mock() do\n      with_mock Datagouvfr.Client.CommunityResources, get: fn _ -> {:ok, []} end do\n        with_mock HTTPStreamV2, fetch_status_and_hash: http_stream_mock() do\n          ImportData.import_all_datasets()\n        end\n      end\n    end\n\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Organization) == 2\n    organization_id = get_in(payload_2, [\"organization\", \"id\"])\n    organization_name = get_in(payload_2, [\"organization\", \"name\"])\n    %DB.Dataset{organization_id: ^organization_id, organization: ^organization_name} = DB.Dataset |> DB.Repo.one!()\n\n    [resource_updated] = DB.Resource |> DB.Repo.all()\n    # assert that the resource has been updated with a new title and a new datagouv_id\n    # but its id is still the same\n    assert Map.get(resource_updated, :title) == new_title\n    assert Map.get(resource_updated, :id) == resource_id\n    assert Map.get(resource_updated, :datagouv_id) == new_datagouv_id\n\n    # import 3\n    payload_3 =\n      generate_dataset_payload(\n        datagouv_id,\n        generate_resources_payload(\n          title: new_title,\n          url: \"https://example.com/\" <> Ecto.UUID.generate(),\n          id: new_datagouv_id\n        )\n      )\n\n    with_mock HTTPoison, get!: http_get_mock_200(datagouv_id, payload_3), head: http_head_mock() do\n      with_mock Datagouvfr.Client.CommunityResources, get: fn _ -> {:ok, []} end do\n        with_mock HTTPStreamV2, fetch_status_and_hash: http_stream_mock() do\n          ImportData.import_all_datasets()\n        end\n      end\n    end\n\n    assert db_count(DB.Dataset) == 1\n\n    # we still have only one resource\n    [resource_updated] = DB.Resource |> DB.Repo.all()\n\n    # the resource is up-to-date with data.gouv\n    assert Map.get(resource_updated, :title) == new_title\n    assert Map.get(resource_updated, :datagouv_id) == new_datagouv_id\n    assert Map.get(resource_updated, :display_position) == 0\n\n    # and the internal resource.id did not change\n    assert Map.get(resource_updated, :id) == resource_id\n  end\n\n  test \"handle resource deletion\" do\n    insert(:dataset, datagouv_id: datagouv_id = \"dataset1_id\")\n\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Resource) == 0\n\n    payload_1 =\n      generate_dataset_payload(datagouv_id, [\n        generate_resource_payload(\n          title: \"Resource 1\",\n          url: \"http://localhost:4321/resource1\",\n          id: \"resource1\"\n        ),\n        generate_resource_payload(\n          title: \"Resource 2\",\n          url: \"http://localhost:4321/resource2\",\n          id: \"resource2\"\n        )\n      ])\n\n    mock_data_gouv(datagouv_id, payload_1)\n\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Resource) == 2\n\n    # import 2\n    payload_2 =\n      generate_dataset_payload(datagouv_id, [\n        generate_resource_payload(\n          title: \"Resource 1\",\n          url: \"http://localhost:4321/resource1\",\n          id: \"resource1\"\n        )\n      ])\n\n    mock_data_gouv(datagouv_id, payload_2)\n\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Resource) == 1\n  end\n\n  test \"handle resource recycling\" do\n    insert(:dataset, datagouv_id: datagouv_id = \"dataset1_id\")\n\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Resource) == 0\n\n    # setup\n    setup_payload =\n      generate_dataset_payload(datagouv_id, [\n        generate_resource_payload(\n          title: \"Resource 1\",\n          url: \"http://localhost:4321/resource1\",\n          id: \"resource1\"\n        ),\n        generate_resource_payload(\n          title: \"Resource 2\",\n          url: \"http://localhost:4321/resource2\",\n          id: \"resource2\"\n        ),\n        generate_resource_payload(\n          title: \"Resource 3\",\n          url: \"http://localhost:4321/resource3\",\n          id: \"resource3\"\n        )\n      ])\n\n    mock_data_gouv(datagouv_id, setup_payload)\n\n    assert db_count(DB.Dataset) == 1\n\n    [{id1, url1}, {_id2, url2}, {id3, url3}] = list_resources()\n\n    assert url1 == \"http://localhost:4321/resource1\"\n    assert url2 == \"http://localhost:4321/resource2\"\n    assert url3 == \"http://localhost:4321/resource3\"\n\n    # import 1\n    payload_1 =\n      generate_dataset_payload(datagouv_id, [\n        generate_resource_payload(\n          title: \"Resource 1\",\n          url: \"http://localhost:4321/resource2\",\n          id: \"resource1\"\n        ),\n        generate_resource_payload(\n          title: \"Resource 3\",\n          url: \"http://localhost:4321/resource3\",\n          id: \"resource3\"\n        )\n      ])\n\n    mock_data_gouv(datagouv_id, payload_1)\n\n    assert db_count(DB.Dataset) == 1\n\n    assert [{id1, \"http://localhost:4321/resource2\"}, {id3, \"http://localhost:4321/resource3\"}] == list_resources()\n\n    # import 2\n    payload_2 =\n      generate_dataset_payload(datagouv_id, [\n        generate_resource_payload(\n          title: \"Resource 1\",\n          url: \"http://localhost:4321/resource2\",\n          id: \"resource1\"\n        ),\n        generate_resource_payload(\n          title: \"Resource 3\",\n          url: \"http://localhost:4321/resource3\",\n          id: \"resource3\"\n        ),\n        generate_resource_payload(\n          title: \"Resource 4\",\n          url: \"http://localhost:4321/resource1\",\n          id: \"resource4\"\n        )\n      ])\n\n    mock_data_gouv(datagouv_id, payload_2)\n\n    assert db_count(DB.Dataset) == 1\n\n    [{updated_id1, url1}, {updated_id2, url2}, {id4, url3}] = list_resources()\n\n    assert updated_id1 == id1\n    assert updated_id2 == id3\n    assert url1 == \"http://localhost:4321/resource2\"\n    assert url2 == \"http://localhost:4321/resource3\"\n    assert url3 == \"http://localhost:4321/resource1\"\n\n    # import 3\n    payload_3 =\n      generate_dataset_payload(datagouv_id, [\n        generate_resource_payload(\n          title: \"Resource 3\",\n          url: \"http://localhost:4321/resource3\",\n          id: \"resource3\"\n        ),\n        generate_resource_payload(\n          title: \"Resource 1\",\n          url: \"http://localhost:4321/resource2\",\n          id: \"resource4\"\n        )\n      ])\n\n    mock_data_gouv(datagouv_id, payload_3)\n\n    assert db_count(DB.Dataset) == 1\n\n    [{updated_id1, url1}, {updated_id2, url2}] = list_resources()\n    assert updated_id1 == id3\n    assert updated_id2 == id4\n    assert url1 == \"http://localhost:4321/resource3\"\n    assert url2 == \"http://localhost:4321/resource2\"\n  end\n\n  test \"import dataset with a community resource\" do\n    insert(:dataset, datagouv_id: datagouv_id = \"dataset1_id\")\n    assert db_count(DB.Dataset) == 1\n    assert db_count(DB.Resource) == 0\n\n    community_resource_title = \"a_community_resource\"\n    schema_name = \"etalab/covoiturage\"\n    schema_version = \"v1.0\"\n\n    with_mock HTTPoison,\n      get!: http_get_mock_200(datagouv_id, generate_dataset_payload(datagouv_id, [])),\n      head: http_head_mock() do\n      with_mock Datagouvfr.Client.CommunityResources,\n        get: fn _ ->\n          {:ok,\n           generate_resources_payload(\n             title: community_resource_title,\n             url: \"http://example.com/file\",\n             id: \"1\",\n             schema_name: schema_name,\n             schema_version: schema_version\n           )}\n        end do\n        with_mock HTTPStreamV2, fetch_status_and_hash: http_stream_mock() do\n          ImportData.import_all_datasets()\n        end\n      end\n    end\n\n    [resource] = DB.Resource |> where([r], r.is_community_resource) |> DB.Repo.all()\n    assert Map.get(resource, :title) == community_resource_title\n    assert Map.get(resource, :schema_name) == schema_name\n    assert Map.get(resource, :schema_version) == schema_version\n    assert Map.get(resource, :display_position) == 0\n  end\n\n  # test \"error while connecting to datagouv server\"\n\n  # test \"with community resources\"\n\n  describe \"import_all_test\" do\n    test \"logs unmanaged exceptions\" do\n      # NOTE: we should ultimately use \"valid\" datasets (which went through the changesets),\n      # because currently this is not the case\n      insert(:dataset, datagouv_id: \"some-id\")\n      assert DB.Repo.aggregate(DB.Dataset, :count, :id) == 1\n\n      # For now, using mocking as an intermediate step to using a real separate mock udata implementation\n      # (but there's too much to refactor for now).\n      payload = :datagouv_api_get |> build() |> Jason.encode!()\n\n      mock = fn _, _, _ ->\n        %HTTPoison.Response{body: payload, status_code: 200}\n      end\n\n      with_mock HTTPoison, get!: mock do\n        logs =\n          capture_log([level: :warning], fn ->\n            ImportData.import_all_datasets()\n          end)\n\n        logs = logs |> String.split(\"\\n\")\n        assert logs |> Enum.at(0) =~ \"Import of dataset has failed\"\n        # NOTE: for now, relying on a specific error that we're triggering due to missing key, but it's\n        # far from ideal and it would be better to have something more explicit\n        assert logs |> Enum.at(1) =~ \"no function clause matching in Transport.ImportData.get_valid_resources/2\"\n      end\n    end\n  end\n\n  test \"get valid resources\" do\n    m = %{\n      \"resources\" => [\n        %{\"format\" => \"gtfs\"},\n        %{\"format\" => \"netex\"},\n        %{\"format\" => \"gtfs-rt\"},\n        %{\"format\" => \"siri\"},\n        %{\"format\" => \"siri lite\"},\n        %{\"format\" => \"csv\"},\n        %{\"format\" => \"ssim\"}\n      ]\n    }\n\n    valid_resources = ImportData.get_valid_resources(m, \"public-transit\")\n\n    assert valid_resources |> Enum.frequencies_by(fn %{\"format\" => f} -> f end) == %{\n             \"gtfs\" => 1,\n             \"gtfs-rt\" => 1,\n             \"NeTEx\" => 1,\n             \"SIRI\" => 1,\n             \"SIRI Lite\" => 1,\n             \"SSIM\" => 1\n           }\n  end\n\n  describe \"get_resources\" do\n    test \"public-transit: filters resources and detects documentation\" do\n      dataset = %{\n        \"id\" => Ecto.UUID.generate(),\n        \"resources\" => [\n          generate_resource_payload(id: Ecto.UUID.generate(), url: \"https://example.com/gtfs\", format: \"gtfs\"),\n          generate_resource_payload(id: Ecto.UUID.generate(), url: \"https://example.com/geojson\", format: \"geojson\"),\n          generate_resource_payload(id: Ecto.UUID.generate(), url: \"https://example.com/svg\", format: \"svg\")\n        ]\n      }\n\n      Datagouvfr.Client.CommunityResources.Mock |> expect(:get, fn _ -> {:ok, []} end)\n\n      assert [%{\"format\" => \"GTFS\", \"type\" => \"main\"}, %{\"format\" => \"svg\", \"type\" => \"documentation\"}] =\n               ImportData.get_resources(dataset, \"public-transit\")\n    end\n\n    test \"another type: detects documentation\" do\n      dataset = %{\n        \"id\" => Ecto.UUID.generate(),\n        \"resources\" => [\n          generate_resource_payload(id: Ecto.UUID.generate(), url: \"https://example.com/gtfs\", format: \"gtfs\"),\n          generate_resource_payload(id: Ecto.UUID.generate(), url: \"https://example.com/geojson\", format: \"geojson\"),\n          generate_resource_payload(id: Ecto.UUID.generate(), url: \"https://example.com/svg\", format: \"svg\")\n        ]\n      }\n\n      Datagouvfr.Client.CommunityResources.Mock |> expect(:get, fn _ -> {:ok, []} end)\n\n      assert [\n               %{\"format\" => \"GTFS\", \"type\" => \"main\"},\n               %{\"format\" => \"geojson\", \"type\" => \"main\"},\n               %{\"format\" => \"svg\", \"type\" => \"documentation\"}\n             ] =\n               ImportData.get_resources(dataset, \"road-data\")\n    end\n\n    test \"can override the format\" do\n      insert(:resource,\n        format_override: override = \"SIRI Lite\",\n        datagouv_id: datagouv_id = Ecto.UUID.generate(),\n        dataset: insert(:dataset, datagouv_id: dataset_datagouv_id = Ecto.UUID.generate())\n      )\n\n      dataset = %{\n        \"id\" => dataset_datagouv_id,\n        \"resources\" => [\n          generate_resource_payload(id: datagouv_id, format: \"gtfs\")\n        ]\n      }\n\n      Datagouvfr.Client.CommunityResources.Mock |> expect(:get, fn _ -> {:ok, []} end)\n\n      assert [\n               %{\"format\" => ^override, \"type\" => \"main\", \"datagouv_id\" => ^datagouv_id}\n             ] =\n               ImportData.get_resources(dataset, \"public-transit\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/database_importer_test.exs",
    "content": "defmodule Transport.IRVE.DatabaseImporterTest do\n  use ExUnit.Case, async: true\n  import Ecto.Query\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"Import new file, then import again (no change) and import with change\" do\n    csv_content =\n      DB.Factory.IRVE.to_csv_body([DB.Factory.IRVE.generate_row(%{\"id_pdc_itinerance\" => \"FRPAN99E87654321\"})])\n\n    temp_path = System.tmp_dir!() |> Path.join(\"irve_test_#{Ecto.UUID.generate()}.csv\")\n    File.write!(temp_path, csv_content)\n\n    dataset_id = \"datagouv_dataset_id\"\n    resource_id = \"datagouv_resource_id\"\n    dataset_title = \"Bornes de recharge IRVE – mon réseau\"\n    organization = \"SuperCharge org\"\n    last_modified = \"2024-01-01T10:00:00+00:00\"\n\n    # First import: there is no previous version, so a new first_import_file and its PDCs are inserted.\n    # Let's make sure we start from a clean state.\n    assert DB.Repo.aggregate(DB.IRVEValidFile, :count, :id) == 0\n    assert DB.Repo.aggregate(DB.IRVEValidPDC, :count, :id) == 0\n\n    {:ok, _transaction_result} =\n      Transport.IRVE.DatabaseImporter.write_to_db(\n        temp_path,\n        dataset_id,\n        resource_id,\n        dataset_title,\n        organization,\n        last_modified\n      )\n\n    first_import_file = DB.Repo.one!(DB.IRVEValidFile)\n    assert first_import_file.datagouv_dataset_id == dataset_id\n    assert first_import_file.datagouv_resource_id == resource_id\n\n    [%DB.IRVEValidPDC{} = first_import_pdc] =\n      DB.IRVEValidPDC\n      |> where([p], p.irve_valid_file_id == ^first_import_file.id)\n      |> DB.Repo.all()\n\n    assert first_import_pdc.id_pdc_itinerance == \"FRPAN99E87654321\"\n    refute first_import_pdc.gratuit\n\n    # Second import with same file should raise a constraint error\n    assert_raise Ecto.ConstraintError, ~r/irve_valid_file_datagouv_resource_id_checksum_index/, fn ->\n      Transport.IRVE.DatabaseImporter.write_to_db(\n        temp_path,\n        dataset_id,\n        resource_id,\n        dataset_title,\n        organization,\n        last_modified\n      )\n    end\n\n    # Third import with a change\n    updated_csv_content =\n      DB.Factory.IRVE.to_csv_body([\n        DB.Factory.IRVE.generate_row(%{\n          \"id_pdc_itinerance\" => \"FRPAN99E87654321\",\n          # The change, it’s false in factories\n          \"gratuit\" => true\n        })\n      ])\n\n    File.write!(temp_path, updated_csv_content)\n\n    {:ok, _transaction_result} =\n      Transport.IRVE.DatabaseImporter.write_to_db(\n        temp_path,\n        dataset_id,\n        resource_id,\n        dataset_title,\n        organization,\n        last_modified\n      )\n\n    # It’s just a new file and its pdcs, the old one has been deleted. The one! would raise if there were more than one.\n    second_import_file = DB.Repo.one!(DB.IRVEValidFile)\n    refute first_import_file.id == second_import_file.id\n    refute first_import_file.checksum == second_import_file.checksum\n\n    # Same, this wouldn’t match if there was more than a single PDC.\n\n    %DB.IRVEValidPDC{} = second_import_pdc = DB.Repo.one!(DB.IRVEValidPDC)\n\n    refute first_import_pdc.id == second_import_pdc.id\n    assert second_import_pdc.id_pdc_itinerance == \"FRPAN99E87654321\"\n    assert second_import_pdc.gratuit\n\n    File.rm(temp_path)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/deduplicator_test.exs",
    "content": "defmodule Transport.IRVE.DeduplicatorTest do\n  use ExUnit.Case, async: true\n\n  test \"calculates duplicate statuses correctly\" do\n    test_df = create_test_dataframe()\n\n    result_df = Transport.IRVE.Deduplicator.add_duplicates_column(test_df)\n\n    result_list =\n      result_df\n      |> Explorer.DataFrame.select([\"id_pdc_itinerance\", \"datagouv_resource_id\", \"date_maj\", \"deduplication_status\"])\n      |> Explorer.DataFrame.to_rows()\n\n    assert result_list == [\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-15\",\n               \"date_maj\" => ~D[2026-02-01],\n               \"deduplication_status\" => \"unique\",\n               \"id_pdc_itinerance\" => \"FRS31UNIQUE1\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-15\",\n               \"date_maj\" => ~D[2026-02-01],\n               \"deduplication_status\" => \"removed_because_resource_not_more_recent\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE1\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-15\",\n               \"date_maj\" => ~D[2026-02-01],\n               \"deduplication_status\" => \"kept_because_date_maj_more_recent\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE2\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-15\",\n               \"date_maj\" => ~D[2026-02-02],\n               \"deduplication_status\" => \"removed_because_not_in_prioritary_dataset\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE3\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-17\",\n               \"date_maj\" => ~D[2026-02-01],\n               \"deduplication_status\" => \"kept_because_resource_more_recent\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE1\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-17\",\n               \"date_maj\" => ~D[2026-01-01],\n               \"deduplication_status\" => \"removed_because_date_maj_not_more_recent\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE2\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-01\",\n               \"date_maj\" => ~D[2026-02-01],\n               \"deduplication_status\" => \"removed_because_resource_not_more_recent\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE1\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-18\",\n               \"date_maj\" => ~D[2025-12-01],\n               \"deduplication_status\" => \"removed_because_date_maj_not_more_recent\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE1\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"gireve-resource\",\n               \"date_maj\" => ~D[2025-10-01],\n               \"deduplication_status\" => \"removed_because_not_in_prioritary_dataset\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE3\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"qualicharge-resource\",\n               \"date_maj\" => ~D[2025-10-01],\n               \"deduplication_status\" => \"kept_because_in_prioritary_dataset\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE3\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"non-itinerance-resource\",\n               \"date_maj\" => ~D[2025-10-01],\n               \"deduplication_status\" => \"removed_because_non_concerne\",\n               \"id_pdc_itinerance\" => \"Non concerné\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"with-exact-duplicates-resource\",\n               \"date_maj\" => ~D[2025-10-01],\n               \"deduplication_status\" => \"kept_because_exact_duplicate_in_same_file\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE5\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"with-exact-duplicates-resource\",\n               \"date_maj\" => ~D[2025-10-01],\n               \"deduplication_status\" => \"removed_because_exact_duplicate_in_same_file\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE5\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"similar-resource-1\",\n               \"date_maj\" => ~D[2025-10-01],\n               \"deduplication_status\" => \"removed_because_no_rule_applies\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE5\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"similar-resource-2\",\n               \"date_maj\" => ~D[2025-10-01],\n               \"deduplication_status\" => \"removed_because_no_rule_applies\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE5\"\n             }\n           ]\n  end\n\n  test \"we can generate a deduplicated dataframe\" do\n    test_df = create_test_dataframe()\n\n    result_df =\n      test_df\n      |> Transport.IRVE.Deduplicator.add_duplicates_column()\n      |> Transport.IRVE.Deduplicator.discard_duplicates()\n\n    result_list =\n      result_df\n      |> Explorer.DataFrame.select([\"id_pdc_itinerance\", \"datagouv_resource_id\"])\n      |> Explorer.DataFrame.to_rows()\n\n    assert result_list == [\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-15\",\n               \"id_pdc_itinerance\" => \"FRS31UNIQUE1\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-15\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE2\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"resource-2026-02-17\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE1\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"qualicharge-resource\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE3\"\n             },\n             %{\n               \"datagouv_resource_id\" => \"with-exact-duplicates-resource\",\n               \"id_pdc_itinerance\" => \"FRS31DUPLICATE5\"\n             }\n           ]\n  end\n\n  defp create_test_dataframe do\n    # First resource - 3 entries, one unique PDC\n\n    resource_2026_02_15 = %{\n      \"datagouv_dataset_id\" => \"dataset-2026-02-15\",\n      \"datagouv_resource_id\" => \"resource-2026-02-15\",\n      \"datagouv_last_modified\" => DateTime.new!(~D[2026-02-15], ~T[10:30:00.000], \"Etc/UTC\")\n    }\n\n    resource_2026_02_15_content =\n      [\n        %{\n          \"id_pdc_itinerance\" => \"FRS31UNIQUE1\",\n          \"date_maj\" => ~D[2026-02-01]\n        },\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE1\",\n          \"date_maj\" => ~D[2026-02-01]\n        },\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE2\",\n          \"date_maj\" => ~D[2026-02-01]\n        },\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE3\",\n          \"date_maj\" => ~D[2026-02-02]\n        }\n      ]\n      |> Enum.map(&Map.merge(&1, resource_2026_02_15))\n\n    # Second resource - 2 entries, duplicates of the first resource.\n    # File is more recent but one of the date_maj is older.\n\n    resource_2026_02_17 = %{\n      \"datagouv_dataset_id\" => \"dataset-2026-02-17\",\n      \"datagouv_resource_id\" => \"resource-2026-02-17\",\n      \"datagouv_last_modified\" => DateTime.new!(~D[2026-02-17], ~T[14:15:00.000], \"Etc/UTC\")\n    }\n\n    resource_2026_02_17_content =\n      [\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE1\",\n          \"date_maj\" => ~D[2026-02-01]\n        },\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE2\",\n          \"date_maj\" => ~D[2026-01-01]\n        }\n      ]\n      |> Enum.map(&Map.merge(&1, resource_2026_02_17))\n\n    # Third resource - 1 entry, same date_maj than first resource, but has an older datagouv_last_modified.\n    # Should be removed.\n\n    resource_2026_02_01 = %{\n      \"datagouv_dataset_id\" => \"dataset-2026-02-01\",\n      \"datagouv_resource_id\" => \"resource-2026-02-01\",\n      \"datagouv_last_modified\" => DateTime.new!(~D[2026-02-02], ~T[09:00:00.000], \"Etc/UTC\")\n    }\n\n    resource_2026_02_01_content =\n      [\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE1\",\n          \"date_maj\" => ~D[2026-02-01]\n        }\n      ]\n      |> Enum.map(&Map.merge(&1, resource_2026_02_01))\n\n    # Tricky case! Has been published the most recently, but the date_maj is older. Should be removed.\n    reource_2026_02_18 = %{\n      \"datagouv_dataset_id\" => \"dataset-2026-02-18\",\n      \"datagouv_resource_id\" => \"resource-2026-02-18\",\n      \"datagouv_last_modified\" => DateTime.new!(~D[2026-02-18], ~T[10:00:00.000], \"Etc/UTC\")\n    }\n\n    reource_2026_02_18_content =\n      [\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE1\",\n          \"date_maj\" => ~D[2025-12-01]\n        }\n      ]\n      |> Enum.map(&Map.merge(&1, reource_2026_02_18))\n\n    # Last resources for testing the prioritary list filter. Both are quite old but they should take the lead.\n\n    gireve_resource = %{\n      \"datagouv_dataset_id\" => \"63dccb1307e9b2f213a5130c\",\n      \"datagouv_resource_id\" => \"gireve-resource\",\n      \"datagouv_last_modified\" => DateTime.new!(~D[2025-11-01], ~T[12:00:00.000], \"Etc/UTC\")\n    }\n\n    gireve_resource_content =\n      [\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE3\",\n          \"date_maj\" => ~D[2025-10-01]\n        }\n      ]\n      |> Enum.map(&Map.merge(&1, gireve_resource))\n\n    qualicharge_resource = %{\n      \"datagouv_dataset_id\" => \"6818bce2d9af175f6e01a1b2\",\n      \"datagouv_resource_id\" => \"qualicharge-resource\",\n      \"datagouv_last_modified\" => DateTime.new!(~D[2025-11-01], ~T[12:00:00.000], \"Etc/UTC\")\n    }\n\n    qualicharge_resource_content =\n      [\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE3\",\n          \"date_maj\" => ~D[2025-10-01]\n        }\n      ]\n      |> Enum.map(&Map.merge(&1, qualicharge_resource))\n\n    non_itinerance_resource = %{\n      \"datagouv_dataset_id\" => \"non-itinerance-dataset\",\n      \"datagouv_resource_id\" => \"non-itinerance-resource\",\n      \"datagouv_last_modified\" => DateTime.new!(~D[2025-11-01], ~T[12:00:00.000], \"Etc/UTC\")\n    }\n\n    non_itinerance_resource_content =\n      [\n        %{\n          \"id_pdc_itinerance\" => \"Non concerné\",\n          \"date_maj\" => ~D[2025-10-01]\n        }\n      ]\n      |> Enum.map(&Map.merge(&1, non_itinerance_resource))\n\n    resource_with_exact_duplicates = %{\n      \"datagouv_dataset_id\" => \"with-exact-duplicates-dataset\",\n      \"datagouv_resource_id\" => \"with-exact-duplicates-resource\",\n      \"datagouv_last_modified\" => DateTime.new!(~D[2025-11-01], ~T[12:00:00.000], \"Etc/UTC\")\n    }\n\n    resource_with_exact_duplicates_content =\n      [\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE5\",\n          \"date_maj\" => ~D[2025-10-01]\n        },\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE5\",\n          \"date_maj\" => ~D[2025-10-01]\n        }\n      ]\n      |> Enum.map(&Map.merge(&1, resource_with_exact_duplicates))\n\n    similar_resource_published_at_same_timestamp_1 = %{\n      \"datagouv_dataset_id\" => \"similar-resource-dataset-1\",\n      \"datagouv_resource_id\" => \"similar-resource-1\",\n      \"datagouv_last_modified\" => DateTime.new!(~D[2025-11-01], ~T[12:00:00.000], \"Etc/UTC\")\n    }\n\n    similar_resource_published_at_same_timestamp_2 = %{\n      \"datagouv_dataset_id\" => \"similar-resource-dataset-2\",\n      \"datagouv_resource_id\" => \"similar-resource-2\",\n      \"datagouv_last_modified\" => DateTime.new!(~D[2025-11-01], ~T[12:00:00.000], \"Etc/UTC\")\n    }\n\n    similar_resource_content =\n      [\n        %{\n          \"id_pdc_itinerance\" => \"FRS31DUPLICATE5\",\n          \"date_maj\" => ~D[2025-10-01]\n        }\n      ]\n\n    data =\n      resource_2026_02_15_content ++\n        resource_2026_02_17_content ++\n        resource_2026_02_01_content ++\n        reource_2026_02_18_content ++\n        gireve_resource_content ++\n        qualicharge_resource_content ++\n        non_itinerance_resource_content ++\n        resource_with_exact_duplicates_content ++\n        Enum.map(similar_resource_content, &Map.merge(&1, similar_resource_published_at_same_timestamp_1)) ++\n        Enum.map(similar_resource_content, &Map.merge(&1, similar_resource_published_at_same_timestamp_2))\n\n    data\n    |> add_dummy_missing_columns()\n    |> Explorer.DataFrame.new()\n  end\n\n  defp add_dummy_missing_columns(data) do\n    dummy_columns =\n      Transport.IRVE.DatabaseExporter.export_field_list()\n      |> Map.new(&{&1, nil})\n\n    Enum.map(data, &Map.merge(dummy_columns, &1))\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/dynamic_irve_schema_test.exs",
    "content": "defmodule Transport.IRVE.DynamicIRVESchemaTest do\n  use ExUnit.Case, async: false\n\n  test \"enumerates current fields\" do\n    assert Transport.IRVE.DynamicIRVESchema.build_schema_fields_list() == [\n             \"id_pdc_itinerance\",\n             \"etat_pdc\",\n             \"occupation_pdc\",\n             \"horodatage\",\n             \"etat_prise_type_2\",\n             \"etat_prise_type_combo_ccs\",\n             \"etat_prise_type_chademo\",\n             \"etat_prise_type_ef\"\n           ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/irve_data_frame_test.exs",
    "content": "defmodule Transport.IRVE.DataFrameTest do\n  use ExUnit.Case, async: true\n  doctest Transport.IRVE.DataFrame, import: true\n\n  test \"schema content\" do\n    data =\n      Transport.IRVE.StaticIRVESchema.schema_content()\n      |> Map.fetch!(\"fields\")\n      |> Enum.at(0)\n      |> Map.take([\"name\", \"type\"])\n\n    assert data == %{\"name\" => \"nom_amenageur\", \"type\" => \"string\"}\n  end\n\n  test \"dataframe roundtrip (encode + decode)\" do\n    body = [DB.Factory.IRVE.generate_row()] |> DB.Factory.IRVE.to_csv_body()\n    df = Transport.IRVE.DataFrame.dataframe_from_csv_body!(body)\n    maps = Explorer.DataFrame.to_rows(df)\n\n    assert maps == [\n             %{\n               \"nom_amenageur\" => \"Métropole de Nulle Part\",\n               \"siren_amenageur\" => \"123456782\",\n               \"contact_amenageur\" => \"amenageur@example.com\",\n               \"nom_operateur\" => \"Opérateur de Charge\",\n               \"contact_operateur\" => \"operateur@example.com\",\n               \"telephone_operateur\" => \"0199456782\",\n               \"nom_enseigne\" => \"Réseau de recharge\",\n               \"id_station_itinerance\" => \"FRPAN99P12345678\",\n               \"id_station_local\" => \"station_001\",\n               \"nom_station\" => \"Ma Station\",\n               \"implantation_station\" => \"Voirie\",\n               \"adresse_station\" => \"26 rue des écluses, 17430 Champdolent\",\n               \"code_insee_commune\" => \"17085\",\n               \"coordonneesXY\" => \"[-0.799141,45.91914]\",\n               \"nbre_pdc\" => 1,\n               \"id_pdc_itinerance\" => \"FRPAN99E12345678\",\n               \"id_pdc_local\" => \"pdc_001\",\n               \"puissance_nominale\" => 22,\n               \"prise_type_ef\" => false,\n               \"prise_type_2\" => true,\n               \"prise_type_combo_ccs\" => false,\n               \"prise_type_chademo\" => false,\n               \"prise_type_autre\" => false,\n               \"gratuit\" => false,\n               \"paiement_acte\" => true,\n               \"paiement_cb\" => true,\n               \"paiement_autre\" => true,\n               \"tarification\" => \"2,50€ / 30min puis 0,025€ / minute\",\n               \"condition_acces\" => \"Accès libre\",\n               \"reservation\" => false,\n               \"horaires\" => \"24/7\",\n               \"accessibilite_pmr\" => \"Accessible mais non réservé PMR\",\n               \"restriction_gabarit\" => \"Hauteur maximale 2.30m\",\n               \"station_deux_roues\" => false,\n               \"raccordement\" => \"Direct\",\n               \"num_pdl\" => \"12345678912345\",\n               \"date_mise_en_service\" => ~D[2024-10-02],\n               \"observations\" => \"Station située au niveau -1 du parking\",\n               \"date_maj\" => ~D[2024-10-17],\n               \"cable_t2_attache\" => false\n             }\n           ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/irve_extractor_test.exs",
    "content": "defmodule Transport.IRVE.ExtractorTest do\n  use ExUnit.Case, async: true\n  import Mox\n  setup :verify_on_exit!\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"paginates data gouv to retrieve all relevant resources metadata via #resources call\" do\n    # NOTE: pagination is not really tested at the moment, but that's good enough for the current scope of use\n\n    # initial request helps computing the number of pages & generating urls\n    Transport.Req.Mock\n    |> expect(:get!, fn _request, options ->\n      assert options[:url] == \"https://www.data.gouv.fr/api/1/datasets/?schema=etalab/schema-irve-statique&page_size=3\"\n      %Req.Response{status: 200, body: DB.Factory.IRVE.build_datagouv_initial_pagination_payload(page_size: 3)}\n    end)\n\n    # next requests are same queries but paginated and helping\n    Transport.Req.Mock\n    |> expect(:get!, fn _request, options ->\n      assert options[:url] ==\n               \"https://www.data.gouv.fr/api/1/datasets/?schema=etalab/schema-irve-statique&page=1&page_size=3\"\n\n      %Req.Response{\n        status: 200,\n        body: DB.Factory.IRVE.build_datagouv_page_payload()\n      }\n    end)\n\n    assert Transport.IRVE.Extractor.datagouv_resources(page_size: 3) == [\n             %{\n               dataset_id: \"the-dataset-id\",\n               dataset_title: \"the-dataset-title\",\n               dataset_organisation_id: \"the-org-id\",\n               dataset_organisation_name: \"the-org\",\n               dataset_organisation_url: \"http://the-org\",\n               datagouv_organization_or_owner: \"the-org\",\n               datagouv_last_modified: \"2024-02-29T07:43:59.660000+00:00\",\n               resource_id: \"the-resource-id\",\n               resource_title: \"the-resource-title\",\n               schema_name: \"etalab/schema-irve-statique\",\n               schema_version: \"2.3.0\",\n               filetype: \"file\",\n               url: \"https://static.data.gouv.fr/resources/some-irve-url-2024/data.csv\",\n               valid: true,\n               validation_date: \"2024-02-24\",\n               last_modified: \"2024-02-29T07:43:59.660000+00:00\"\n             },\n             %{\n               valid: true,\n               last_modified: \"2024-02-29T07:43:59.660000+00:00\",\n               url: \"https://static.data.gouv.fr/resources/another-irve-url-2024/data.csv\",\n               dataset_id: \"another-dataset-id\",\n               dataset_organisation_id: \"another-org-id\",\n               dataset_organisation_name: \"another-org\",\n               dataset_organisation_url: \"http://another-org\",\n               datagouv_organization_or_owner: \"another-org\",\n               datagouv_last_modified: \"2024-02-29T07:43:59.660000+00:00\",\n               resource_id: \"another-resource-id\",\n               dataset_title: \"another-dataset-title\",\n               schema_version: \"2.3.0\",\n               schema_name: \"etalab/schema-irve-statique\",\n               resource_title: \"another-resource-title\",\n               filetype: \"file\",\n               validation_date: \"2024-02-24\"\n             },\n             %{\n               dataset_id: \"individual-published-dataset-id\",\n               dataset_organisation_id: \"???\",\n               dataset_organisation_name: \"???\",\n               dataset_organisation_url: \"???\",\n               datagouv_organization_or_owner: \"Guy Who loves IRVE\",\n               datagouv_last_modified: \"2024-02-29T07:43:59.660000+00:00\",\n               dataset_title: \"individual-published-dataset-title\",\n               filetype: \"file\",\n               last_modified: \"2024-02-29T07:43:59.660000+00:00\",\n               resource_id: \"individual-published-resource-id\",\n               resource_title: \"individual-published-resource-title\",\n               schema_name: \"etalab/schema-irve-statique\",\n               schema_version: \"2.3.0\",\n               url: \"https://static.data.gouv.fr/resources/individual-published-irve-url-2024/data.csv\",\n               valid: true,\n               validation_date: \"2024-02-24\"\n             }\n           ]\n  end\n\n  test \"given a list of resources, download & analyze them via #download_and_parse_all\" do\n    resources = [\n      orig_resource = %{\n        url: expected_url = \"https://static.data.gouv.fr/resources/something/something.csv\",\n        dataset_id: \"the-dataset-id\",\n        dataset_title: \"the-dataset-title\",\n        resource_id: \"the-resource-id\",\n        resource_title: \"the-resource-title\",\n        valid: true\n      }\n    ]\n\n    Transport.Req.Mock\n    |> expect(:get!, fn _request, options ->\n      assert options[:url] == expected_url\n\n      %Req.Response{\n        status: 200,\n        body: \"id_pdc_itinerance\\nFR123\\nFR456\\nFR789\"\n      }\n    end)\n\n    # parsed resources must be enriched with line count & index, and url removed\n    assert Transport.IRVE.Extractor.download_and_parse_all(resources) == [\n             orig_resource\n             |> Map.put(:index, 0)\n             |> Map.put(:line_count, 3)\n             |> Map.put(:http_status, 200)\n             |> Map.delete(:url)\n           ]\n  end\n\n  test \"handles non-200 response\" do\n    resources = [\n      orig_resource = %{\n        url: expected_url = \"https://static.data.gouv.fr/resources/something/something.csv\",\n        dataset_id: \"the-dataset-id\",\n        dataset_title: \"the-dataset-title\",\n        resource_id: \"the-resource-id\",\n        resource_title: \"the-resource-title\",\n        valid: true\n      }\n    ]\n\n    Transport.Req.Mock\n    |> expect(:get!, fn _request, options ->\n      assert options[:url] == expected_url\n\n      %Req.Response{\n        status: 404,\n        body: \"there is nothing here\"\n      }\n    end)\n\n    # parsed resources must be enriched with line count & index, and url removed\n    assert Transport.IRVE.Extractor.download_and_parse_all(resources) == [\n             orig_resource\n             |> Map.put(:index, 0)\n             |> Map.put(:http_status, 404)\n             |> Map.delete(:url)\n           ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/irve_http_pagination_test.exs",
    "content": "defmodule Transport.IRVE.HTTPPaginationTest do\n  use ExUnit.Case, async: true\n  doctest Transport.IRVE.HTTPPagination, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/irve_raw_static_consolidation_test.exs",
    "content": "defmodule Transport.IRVE.RawStaticConsolidationTest do\n  use ExUnit.Case, async: false\n  import Mox\n  import Transport.S3.AggregatesUploader, only: [with_tmp_file: 1]\n  doctest Transport.IRVE.RawStaticConsolidation, import: true\n\n  setup :verify_on_exit!\n\n  describe \"build_aggregate_and_report!/1\" do\n    test \"successfully processes valid IRVE resources and generates files\" do\n      with_tmp_file(fn data_file ->\n        with_tmp_file(fn report_file ->\n          # Mock the data.gouv.fr API response\n          mock_datagouv_resources()\n\n          # Mock HTTP requests for resource content\n          mock_resource_downloads()\n\n          # Execute the function\n          options = [\n            data_file: data_file,\n            report_file: report_file\n          ]\n\n          assert :ok = Transport.IRVE.RawStaticConsolidation.build_aggregate_and_report!(options)\n\n          # Verify data file was created and contains expected content\n          assert File.exists?(data_file)\n          [headers, _another_pdc_line, pdc_line] = data_file |> File.stream!() |> CSV.decode!() |> Enum.into([])\n\n          assert headers ==\n                   (Transport.IRVE.StaticIRVESchema.field_names_list() -- [\"coordonneesXY\", \"cable_t2_attache\"]) ++\n                     [\"longitude\", \"latitude\", \"original_dataset_id\", \"original_resource_id\"]\n\n          assert pdc_line == [\n                   \"Métropole de Nulle Part\",\n                   \"123456782\",\n                   \"amenageur@example.com\",\n                   \"Opérateur de Charge\",\n                   \"operateur@example.com\",\n                   \"0199456782\",\n                   \"Réseau de recharge\",\n                   \"FRPAN99P12345678\",\n                   \"station_001\",\n                   \"Ma Station\",\n                   \"Voirie\",\n                   \"26 rue des écluses, 17430 Champdolent\",\n                   \"17085\",\n                   \"1\",\n                   \"FRPAN99E12345678\",\n                   \"pdc_001\",\n                   \"22.0\",\n                   \"false\",\n                   \"true\",\n                   \"false\",\n                   \"false\",\n                   \"false\",\n                   \"false\",\n                   \"true\",\n                   \"true\",\n                   \"true\",\n                   \"2,50€ / 30min puis 0,025€ / minute\",\n                   \"Accès libre\",\n                   \"false\",\n                   \"24/7\",\n                   \"Accessible mais non réservé PMR\",\n                   \"Hauteur maximale 2.30m\",\n                   \"false\",\n                   \"Direct\",\n                   \"12345678912345\",\n                   \"2024-10-02\",\n                   \"Station située au niveau -1 du parking\",\n                   \"2024-10-17\",\n                   \"-0.799141\",\n                   \"45.91914\",\n                   \"the-dataset-id\",\n                   \"the-resource-id\"\n                 ]\n\n          # Verify report file was created and contains expected content\n          assert File.exists?(report_file)\n          report_content = File.read!(report_file)\n          assert String.contains?(report_content, \"dataset_id\")\n          assert String.contains?(report_content, \"resource_id\")\n          assert String.contains?(report_content, \"%RuntimeError{message: \\\"\\\"producer is not an organization\\\"\\\"}\")\n        end)\n      end)\n    end\n  end\n\n  defp mock_datagouv_resources do\n    Transport.Req.Mock\n    |> expect(:get!, fn _request, options ->\n      assert options[:url] ==\n               \"https://www.data.gouv.fr/api/1/datasets/?schema=etalab/schema-irve-statique&page_size=100\"\n\n      %Req.Response{status: 200, body: DB.Factory.IRVE.build_datagouv_initial_pagination_payload(page_size: 100)}\n    end)\n\n    # next requests are same queries but paginated and helping\n    Transport.Req.Mock\n    |> expect(:get!, fn _request, options ->\n      assert options[:url] ==\n               \"https://www.data.gouv.fr/api/1/datasets/?schema=etalab/schema-irve-statique&page=1&page_size=100\"\n\n      %Req.Response{\n        status: 200,\n        body: DB.Factory.IRVE.build_datagouv_page_payload()\n      }\n    end)\n  end\n\n  defp mock_resource_downloads do\n    Transport.Req.Mock\n    |> expect(:get!, 3, fn _url, _options ->\n      %Req.Response{\n        status: 200,\n        body: [DB.Factory.IRVE.generate_row()] |> DB.Factory.IRVE.to_csv_body()\n      }\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/irve_static_probes_test.exs",
    "content": "defmodule Transport.IRVE.Static.ProbesTest do\n  use ExUnit.Case, async: true\n  doctest Transport.IRVE.Static.Probes, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/processing_test.exs",
    "content": "defmodule Transport.IRVE.ProcessingTest do\n  use ExUnit.Case, async: true\n  doctest Transport.IRVE.Processing, import: true\n\n  test \"Read as DataFrame\" do\n    row =\n      DB.Factory.IRVE.generate_row(%{\n        \"prise_type_ef\" => \"FAUX\",\n        \"prise_type_2\" => 1,\n        # NOTE: 22.1 has no exact representation in either\n        # f32 or f64 (see https://float.exposed/0.21),\n        # so use an exact `Decimal` for the input\n        \"puissance_nominale\" => Decimal.new(\"22.1\")\n      })\n      |> Map.delete(\"tarification\")\n\n    body = [row] |> DB.Factory.IRVE.to_csv_body()\n    df = Transport.IRVE.Processing.read_as_data_frame(body)\n    maps = Explorer.DataFrame.to_rows(df)\n\n    assert maps == [\n             %{\n               \"nom_amenageur\" => \"Métropole de Nulle Part\",\n               \"siren_amenageur\" => \"123456782\",\n               \"contact_amenageur\" => \"amenageur@example.com\",\n               \"nom_operateur\" => \"Opérateur de Charge\",\n               \"contact_operateur\" => \"operateur@example.com\",\n               \"telephone_operateur\" => \"0199456782\",\n               \"nom_enseigne\" => \"Réseau de recharge\",\n               \"id_station_itinerance\" => \"FRPAN99P12345678\",\n               \"id_station_local\" => \"station_001\",\n               \"nom_station\" => \"Ma Station\",\n               \"implantation_station\" => \"Voirie\",\n               \"adresse_station\" => \"26 rue des écluses, 17430 Champdolent\",\n               \"code_insee_commune\" => \"17085\",\n               \"nbre_pdc\" => 1,\n               \"id_pdc_itinerance\" => \"FRPAN99E12345678\",\n               \"id_pdc_local\" => \"pdc_001\",\n               # using f64, while the representation is not exact,\n               # the comparison works because it is close enough\n               \"puissance_nominale\" => 22.1,\n               # This was converted\n               \"prise_type_ef\" => false,\n               # This was converted too\n               \"prise_type_2\" => true,\n               \"prise_type_combo_ccs\" => false,\n               \"prise_type_chademo\" => false,\n               \"prise_type_autre\" => false,\n               \"gratuit\" => false,\n               \"paiement_acte\" => true,\n               \"paiement_cb\" => true,\n               \"paiement_autre\" => true,\n               # This was added\n               \"tarification\" => nil,\n               \"condition_acces\" => \"Accès libre\",\n               \"reservation\" => false,\n               \"horaires\" => \"24/7\",\n               \"accessibilite_pmr\" => \"Accessible mais non réservé PMR\",\n               \"restriction_gabarit\" => \"Hauteur maximale 2.30m\",\n               \"station_deux_roues\" => false,\n               \"raccordement\" => \"Direct\",\n               \"num_pdl\" => \"12345678912345\",\n               \"date_mise_en_service\" => ~D[2024-10-02],\n               \"observations\" => \"Station située au niveau -1 du parking\",\n               \"date_maj\" => ~D[2024-10-17],\n               # This was added and coordonneesXY removed\n               \"longitude\" => -0.799141,\n               # Same\n               \"latitude\" => 45.91914\n             }\n           ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/simple_consolidation_test.exs",
    "content": "defmodule Transport.IRVE.SimpleConsolidationTest do\n  use ExUnit.Case, async: true\n  import Mox\n  import Ecto.Query\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    :verify_on_exit!\n    :ok\n  end\n\n  describe \"process/0\" do\n    # grouping successful & error test for now, will be improved\n    test \"writes pdcs for valid file, and not for invalid file\" do\n      # Mock the data.gouv.fr API response\n      mock_datagouv_resources()\n\n      # Mock HTTP requests for resource content, one is valid, the other is not\n      # Note: this consolidation only downloads resources published by orgs\n      # So it’s 2 calls here (see the mock)\n      mock_resource_downloads()\n\n      assert DB.Repo.aggregate(DB.IRVEValidFile, :count, :id) == 0\n      assert DB.Repo.aggregate(DB.IRVEValidPDC, :count, :id) == 0\n\n      # Check the content on S3\n      bucket_name = \"transport-data-gouv-fr-aggregates-test\"\n      date = Calendar.strftime(Date.utc_today(), \"%Y%m%d\")\n\n      # Create a DataFrame and select columns in the same order as the actual implementation\n      report_content =\n        [\n          %{\n            \"dataset_id\" => \"another-dataset-id\",\n            \"resource_id\" => \"another-resource-id\",\n            \"status\" => \"error_occurred\",\n            \"error_type\" => \"ArgumentError\",\n            \"estimated_pdc_count\" => \"1\",\n            \"file_extension\" => \".csv\",\n            \"url\" => \"https://static.data.gouv.fr/resources/another-irve-url-2024/data.csv\",\n            \"dataset_title\" => \"another-dataset-title\",\n            \"datagouv_organization_or_owner\" => \"another-org\",\n            \"datagouv_last_modified\" => \"2024-02-29T07:43:59.660000+00:00\",\n            # TODO rework to only compare the part of the message that matters\n            \"error_message\" =>\n              ~s|could not find column name \"nom_station\". The available columns are: [\"accessibilite_pmr\", \"telephone_operateur\", \"coordonneesXY\", \"observations\", \"date_maj\", \"num_pdl\", \"code_insee_commune\", \"nom_enseigne\", \"puissance_nominale\", \"adresse_station\", \"id_station_itinerance\", \"siren_amenageur\", \"contact_operateur\", \"implantation_station\", \"date_mise_en_service\", \"horaires\", \"id_pdc_itinerance\", \"nbre_pdc\", \"raccordement\", \"id_station_local\", \"nom_amenageur\", \"restriction_gabarit\", \"nom_operateur\", \"contact_amenageur\", \"id_pdc_local\", \"tarification\", \"condition_acces\", \"prise_type_ef\", \"prise_type_2\", \"prise_type_combo_ccs\", \"prise_type_chademo\", \"prise_type_autre\", \"gratuit\", \"paiement_acte\", \"paiement_cb\", \"paiement_autre\", \"reservation\", \"station_deux_roues\", \"cable_t2_attache\", \"check_column_nom_amenageur_valid\", \"check_column_siren_amenageur_valid\", \"check_column_contact_amenageur_valid\", \"check_column_nom_operateur_valid\", \"check_column_contact_operateur_valid\", \"check_column_telephone_operateur_valid\", \"check_column_nom_enseigne_valid\", \"check_column_id_station_itinerance_valid\", \"check_column_id_station_local_valid\"].\\nIf you are attempting to interpolate a value, use ^nom_station.|\n          },\n          %{\n            \"dataset_id\" => \"individual-published-dataset-id\",\n            \"resource_id\" => \"individual-published-resource-id\",\n            \"status\" => \"error_occurred\",\n            \"error_type\" => \"RuntimeError\",\n            \"estimated_pdc_count\" => \"1\",\n            \"file_extension\" => \".csv\",\n            \"url\" => \"https://static.data.gouv.fr/resources/individual-published-irve-url-2024/data.csv\",\n            \"dataset_title\" => \"individual-published-dataset-title\",\n            \"datagouv_organization_or_owner\" => \"Guy Who loves IRVE\",\n            \"datagouv_last_modified\" => \"2024-02-29T07:43:59.660000+00:00\",\n            \"error_message\" => \"producer is not an organization\"\n          },\n          %{\n            \"dataset_id\" => \"the-dataset-id\",\n            \"resource_id\" => \"the-resource-id\",\n            \"status\" => \"import_successful\",\n            \"error_type\" => nil,\n            \"estimated_pdc_count\" => \"1\",\n            \"file_extension\" => \".csv\",\n            \"url\" => \"https://static.data.gouv.fr/resources/some-irve-url-2024/data.csv\",\n            \"dataset_title\" => \"the-dataset-title\",\n            \"datagouv_organization_or_owner\" => \"the-org\",\n            \"datagouv_last_modified\" => \"2024-02-29T07:43:59.660000+00:00\",\n            \"error_message\" => nil\n          }\n        ]\n        |> Explorer.DataFrame.new()\n        # Use the same column order as in the actual implementation\n        |> Explorer.DataFrame.select([\n          \"dataset_id\",\n          \"resource_id\",\n          \"status\",\n          \"error_type\",\n          \"estimated_pdc_count\",\n          \"file_extension\",\n          \"url\",\n          \"dataset_title\",\n          \"datagouv_organization_or_owner\",\n          \"datagouv_last_modified\",\n          \"error_message\"\n        ])\n        |> Explorer.DataFrame.dump_csv!()\n\n      Transport.Test.S3TestUtils.s3_mock_stream_file(\n        start_path: \"consolidation_transport_irve_statique_rapport_#{date}\",\n        bucket: bucket_name,\n        acl: :private,\n        file_content: report_content\n      )\n\n      Transport.Test.S3TestUtils.s3_mock_stream_file(\n        start_path: \"consolidation_transport_irve_statique_rapport_#{date}\",\n        bucket: bucket_name,\n        acl: :private,\n        file_content: \"f06fd15d5afcd8be10880b049dc45424c6c9475b8ee2071c5ab1b9880638f3d9\"\n      )\n\n      Transport.Test.S3TestUtils.s3_mocks_remote_copy_file(\n        bucket_name,\n        \"consolidation_transport_irve_statique_rapport_#{date}\",\n        \"consolidation_transport_irve_statique_rapport.csv\"\n      )\n\n      Transport.Test.S3TestUtils.s3_mocks_remote_copy_file(\n        bucket_name,\n        \"consolidation_transport_irve_statique_rapport_#{date}\",\n        \"consolidation_transport_irve_statique_rapport.csv.sha256sum\"\n      )\n\n      consolidation_content =\n        [\n          DB.Factory.IRVE.generate_row()\n          |> Map.put(\"puissance_nominale\", \"22.0\")\n          |> Map.put(\"consolidated_longitude\", \"-0.79914\")\n          |> Map.put(\"consolidated_latitude\", \"45.91914\")\n          |> Map.put(\"coordonneesXY\", \"[-0.79914, 45.91914]\")\n          |> Map.put(\"cable_t2_attache\", nil)\n          |> Map.put(\"datagouv_dataset_id\", \"the-dataset-id\")\n          |> Map.put(\"datagouv_resource_id\", \"the-resource-id\")\n          |> Map.put(\"dataset_title\", \"the-dataset-title\")\n          |> Map.put(\"datagouv_organization_or_owner\", \"the-org\")\n          |> Map.put(\"datagouv_last_modified\", \"2024-02-29T07:43:59.000000+0000\")\n          |> Map.put(\"deduplication_status\", \"unique\")\n        ]\n        |> Explorer.DataFrame.new()\n        # Use the same column order as in the actual implementation\n        |> Explorer.DataFrame.select(\n          Transport.IRVE.StaticIRVESchema.field_names_list()\n          |> Enum.concat([\n            \"consolidated_longitude\",\n            \"consolidated_latitude\",\n            \"datagouv_dataset_id\",\n            \"datagouv_resource_id\",\n            \"dataset_title\",\n            \"datagouv_organization_or_owner\",\n            \"datagouv_last_modified\",\n            \"deduplication_status\"\n          ])\n        )\n        |> Explorer.DataFrame.dump_csv!()\n\n      Transport.Test.S3TestUtils.s3_mock_stream_file(\n        start_path: \"consolidation_transport_avec_doublons_irve_statique_#{date}\",\n        bucket: bucket_name,\n        acl: :private,\n        file_content: consolidation_content\n      )\n\n      Transport.Test.S3TestUtils.s3_mock_stream_file(\n        start_path: \"consolidation_transport_avec_doublons_irve_statique_#{date}\",\n        bucket: bucket_name,\n        acl: :private,\n        file_content: \"6c76cfc5918ead5a10e36f39e34995370184c47801c7568e5b7b2dc2a2a75714\"\n      )\n\n      Transport.Test.S3TestUtils.s3_mocks_remote_copy_file(\n        bucket_name,\n        \"consolidation_transport_avec_doublons_irve_statique_#{date}\",\n        \"consolidation_transport_avec_doublons_irve_statique.csv\"\n      )\n\n      Transport.Test.S3TestUtils.s3_mocks_remote_copy_file(\n        bucket_name,\n        \"consolidation_transport_avec_doublons_irve_statique_#{date}\",\n        \"consolidation_transport_avec_doublons_irve_statique.csv.sha256sum\"\n      )\n\n      # Dedup file is the same here as there is only one PDC.\n      Transport.Test.S3TestUtils.s3_mock_stream_file(\n        start_path: \"consolidation_transport_irve_statique_#{date}\",\n        bucket: bucket_name,\n        acl: :private,\n        file_content: consolidation_content\n      )\n\n      Transport.Test.S3TestUtils.s3_mock_stream_file(\n        start_path: \"consolidation_transport_irve_statique_#{date}\",\n        bucket: bucket_name,\n        acl: :private,\n        file_content: \"6c76cfc5918ead5a10e36f39e34995370184c47801c7568e5b7b2dc2a2a75714\"\n      )\n\n      Transport.Test.S3TestUtils.s3_mocks_remote_copy_file(\n        bucket_name,\n        \"consolidation_transport_irve_statique_#{date}\",\n        \"consolidation_transport_irve_statique.csv\"\n      )\n\n      Transport.Test.S3TestUtils.s3_mocks_remote_copy_file(\n        bucket_name,\n        \"consolidation_transport_irve_statique_#{date}\",\n        \"consolidation_transport_irve_statique.csv.sha256sum\"\n      )\n\n      # Run the consolidation process\n      {:ok, %Explorer.DataFrame{}} = Transport.IRVE.SimpleConsolidation.process()\n\n      # Check that we have imported a file and its unique PDC in the DB\n      [first_import_file] =\n        DB.IRVEValidFile\n        |> order_by([f], asc: f.datagouv_dataset_id)\n        |> DB.Repo.all()\n\n      assert first_import_file.datagouv_dataset_id == \"the-dataset-id\"\n      assert first_import_file.datagouv_resource_id == \"the-resource-id\"\n\n      assert DB.Repo.aggregate(DB.IRVEValidPDC, :count, :id) == 1\n\n      # There should be no leftover temporary files\n      refute File.exists?(System.tmp_dir!() |> Path.join(\"irve-resource-the-resource-id.dat\"))\n      refute File.exists?(System.tmp_dir!() |> Path.join(\"irve-resource-another-resource-id.dat\"))\n    end\n  end\n\n  defp mock_datagouv_resources do\n    Transport.Req.Mock\n    |> expect(:get!, fn _request, options ->\n      assert options[:url] ==\n               \"https://www.data.gouv.fr/api/1/datasets/?schema=etalab/schema-irve-statique&page_size=100\"\n\n      %Req.Response{status: 200, body: DB.Factory.IRVE.build_datagouv_initial_pagination_payload(page_size: 100)}\n    end)\n\n    # next requests are same queries but paginated and helping\n    Transport.Req.Mock\n    |> expect(:get!, fn _request, options ->\n      assert options[:url] ==\n               \"https://www.data.gouv.fr/api/1/datasets/?schema=etalab/schema-irve-statique&page=1&page_size=100\"\n\n      payload =\n        DB.Factory.IRVE.build_datagouv_page_payload()\n\n      %Req.Response{\n        status: 200,\n        body: payload\n      }\n    end)\n  end\n\n  defp mock_resource_downloads do\n    Transport.Req.Mock\n    # We need to have a single call with single expect to work properly\n    # because Mox matches in order of definition\n    #  and task process order is not deterministic\n    |> expect(:get!, 3, fn _url, options ->\n      # We deal with different cases with a pattern match inside the function\n      resource_mock(options)\n    end)\n  end\n\n  @valid_url \"https://static.data.gouv.fr/resources/some-irve-url-2024/data.csv\"\n  @individual_published_url \"https://static.data.gouv.fr/resources/individual-published-irve-url-2024/data.csv\"\n  @invalid_url \"https://static.data.gouv.fr/resources/another-irve-url-2024/data.csv\"\n\n  # A correct resource\n  defp resource_mock(into: into, decode_body: false, compressed: false, url: @valid_url) do\n    build_resource_response(into.path, [DB.Factory.IRVE.generate_row()])\n  end\n\n  # Invalid: missing required column nom_station\n  defp resource_mock(into: into, decode_body: false, compressed: false, url: @invalid_url) do\n    build_resource_response(into.path, [DB.Factory.IRVE.generate_row() |> Map.delete(\"nom_station\")])\n  end\n\n  # Published by individual, valid but should be skipped. Downloaded for line count.\n  defp resource_mock(into: into, decode_body: false, compressed: false, url: @individual_published_url) do\n    build_resource_response(into.path, [DB.Factory.IRVE.generate_row()])\n  end\n\n  defp build_resource_response(path, rows) do\n    body = DB.Factory.IRVE.to_csv_body(rows)\n    File.write!(path, body)\n    %Req.Response{status: 200, body: File.stream!(path)}\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/static_irve_schema_test.exs",
    "content": "defmodule Transport.IRVE.StaticIRVESchemaTest do\n  use ExUnit.Case, async: true\n\n  doctest Transport.IRVE.StaticIRVESchema, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/validation/data_frame_validation_test.exs",
    "content": "defmodule Transport.IRVE.Validator.DataFrameValidationTest do\n  # all the test-cases, assuming the data has been trimmed from\n  # leading & trailing whitespaces.\n  @test_cases [\n    # first, verify that full row validation with a special tuple.\n    {:full_default_factory_row, :valid},\n\n    # nom_amenageur\n    {\"nom_amenageur\", \"\", :valid},\n    {\"nom_amenageur\", \"Société X\", :valid},\n\n    # siren_amenageur\n    {\"siren_amenageur\", \"\", :valid},\n    {\"siren_amenageur\", \"123456789\", :valid},\n    {\"siren_amenageur\", \"12345678\", :invalid},\n    {\"siren_amenageur\", \"123A56789\", :invalid},\n\n    # contact_amenageur\n    {\"contact_amenageur\", \"\", :valid},\n    {\"contact_amenageur\", \"contact@entreprise.fr\", :valid},\n    {\"contact_amenageur\", \"contact@\", :invalid},\n\n    # nom_operateur\n    {\"nom_operateur\", \"\", :valid},\n    {\"nom_operateur\", \"Opérateur ABC\", :valid},\n\n    # contact_operateur\n    {\"contact_operateur\", \"contact@operateur.fr\", :valid},\n    {\"contact_operateur\", \"invalid@\", :invalid},\n    {\"contact_operateur\", \"\", :invalid},\n\n    # telephone_operateur\n    {\"telephone_operateur\", \"\", :valid},\n    {\"telephone_operateur\", \"0102030405\", :valid},\n\n    # nom_enseigne\n    {\"nom_enseigne\", \"Réseau X\", :valid},\n    {\"nom_enseigne\", \"\", :invalid},\n\n    # id_station_itinerance\n    {\"id_station_itinerance\", \"FRA68P68021001\", :valid},\n    {\"id_station_itinerance\", \"Non concerné\", :valid},\n    # TODO: open issue, the schema currently allows this and this is way to lax\n    {\"id_station_itinerance\", \"FRX123\", :valid},\n    {\"id_station_itinerance\", \"\", :invalid},\n\n    # id_station_local\n    {\"id_station_local\", \"\", :valid},\n    {\"id_station_local\", \"01F2KMMRZVQ5FQY882PCJQAPQ0\", :valid},\n\n    # nom_station\n    {\"nom_station\", \"Station Belleville\", :valid},\n    {\"nom_station\", \"\", :invalid},\n\n    # implantation_station\n    {\"implantation_station\", \"Voirie\", :valid},\n    {\"implantation_station\", \"Parking public\", :valid},\n    {\"implantation_station\", \"Autre\", :invalid},\n    {\"implantation_station\", \"\", :invalid},\n\n    # adresse_station\n    {\"adresse_station\", \"1 avenue de la Paix 75001 Paris\", :valid},\n    {\"adresse_station\", \"\", :invalid},\n\n    # code_insee_commune\n    {\"code_insee_commune\", \"\", :valid},\n    {\"code_insee_commune\", \"21231\", :valid},\n    {\"code_insee_commune\", \"2A031\", :valid},\n    {\"code_insee_commune\", \"9900\", :invalid},\n\n    # coordonneesXY\n    {\"coordonneesXY\", \"[7.48710500,48.345345]\", :valid},\n    {\"coordonneesXY\", \"[-7.123,-23.678]\", :valid},\n    {\"coordonneesXY\", \"\", :invalid},\n\n    # nbre_pdc\n    {\"nbre_pdc\", \"3\", :valid},\n    {\"nbre_pdc\", \"0\", :valid},\n    {\"nbre_pdc\", \"-1\", :invalid},\n    {\"nbre_pdc\", \"3.7\", :invalid},\n    {\"nbre_pdc\", \"3,7\", :invalid},\n    {\"nbre_pdc\", \"\", :invalid},\n\n    # id_pdc_itinerance\n    {\"id_pdc_itinerance\", \"FRA68E680210015\", :valid},\n    {\"id_pdc_itinerance\", \"Non concerné\", :valid},\n    {\"id_pdc_itinerance\", \"FR12E\", :invalid},\n    {\"id_pdc_itinerance\", \"\", :invalid},\n\n    # id_pdc_local\n    {\"id_pdc_local\", \"\", :valid},\n    {\"id_pdc_local\", \"01F2KNFARDSJG7KEH1YHG4033M\", :valid},\n\n    # puissance_nominale\n    {\"puissance_nominale\", \"22.0\", :valid},\n    {\"puissance_nominale\", \"22\", :valid},\n    {\"puissance_nominale\", \"0\", :valid},\n    {\"puissance_nominale\", \"-5\", :invalid},\n    {\"puissance_nominale\", \"5A\", :invalid},\n    {\"puissance_nominale\", \"BC\", :invalid},\n    {\"puissance_nominale\", \"\", :invalid},\n\n    # prise_type_ef\n    {\"prise_type_ef\", \"true\", :valid},\n    {\"prise_type_ef\", \"false\", :valid},\n    {\"prise_type_ef\", \"\", :invalid},\n\n    # prise_type_2\n    {\"prise_type_2\", \"true\", :valid},\n    {\"prise_type_2\", \"false\", :valid},\n    {\"prise_type_2\", \"\", :invalid},\n\n    # prise_type_combo_ccs\n    {\"prise_type_combo_ccs\", \"true\", :valid},\n    {\"prise_type_combo_ccs\", \"false\", :valid},\n    {\"prise_type_combo_ccs\", \"\", :invalid},\n\n    # prise_type_chademo\n    {\"prise_type_chademo\", \"true\", :valid},\n    {\"prise_type_chademo\", \"false\", :valid},\n    {\"prise_type_chademo\", \"\", :invalid},\n\n    # prise_type_autre\n    {\"prise_type_autre\", \"true\", :valid},\n    {\"prise_type_autre\", \"false\", :valid},\n    {\"prise_type_autre\", \"\", :invalid},\n\n    # gratuit\n    {\"gratuit\", \"true\", :valid},\n    {\"gratuit\", \"false\", :valid},\n    {\"gratuit\", \"\", :valid},\n\n    # paiement_acte\n    {\"paiement_acte\", \"true\", :valid},\n    {\"paiement_acte\", \"false\", :valid},\n    {\"paiement_acte\", \"\", :invalid},\n\n    # paiement_cb\n    {\"paiement_cb\", \"\", :valid},\n    {\"paiement_cb\", \"true\", :valid},\n    {\"paiement_cb\", \"false\", :valid},\n\n    # paiement_autre\n    {\"paiement_autre\", \"\", :valid},\n    {\"paiement_autre\", \"true\", :valid},\n    {\"paiement_autre\", \"false\", :valid},\n\n    # tarification\n    {\"tarification\", \"\", :valid},\n    {\"tarification\", \"0,40€/kWh\", :valid},\n\n    # condition_acces\n    {\"condition_acces\", \"Accès libre\", :valid},\n    {\"condition_acces\", \"Accès réservé\", :valid},\n    {\"condition_acces\", \"Ouvert\", :invalid},\n    {\"condition_acces\", \"\", :invalid},\n\n    # reservation\n    {\"reservation\", \"true\", :valid},\n    {\"reservation\", \"false\", :valid},\n    {\"reservation\", \"\", :invalid},\n\n    # horaires\n    {\"horaires\", \"24/7\", :valid},\n    {\"horaires\", \"Mo-Fr 08:00-18:00\", :valid},\n    {\"horaires\", \"Mo-Fr 08:00-12:00,Mo-Fr 14:00-18:00,Th 08:00-18:00\", :valid},\n    {\"horaires\", \"Lundi 9h-18h\", :invalid},\n    {\"horaires\", \"\", :invalid},\n\n    # accessibilite_pmr\n    {\"accessibilite_pmr\", \"Réservé PMR\", :valid},\n    {\"accessibilite_pmr\", \"Non accessible\", :valid},\n    {\"accessibilite_pmr\", \"Autre\", :invalid},\n    {\"accessibilite_pmr\", \"\", :invalid},\n\n    # restriction_gabarit\n    {\"restriction_gabarit\", \"Hauteur maximale 2m\", :valid},\n    {\"restriction_gabarit\", \"\", :invalid},\n\n    # station_deux_roues\n    {\"station_deux_roues\", \"true\", :valid},\n    {\"station_deux_roues\", \"false\", :valid},\n    {\"station_deux_roues\", \"\", :invalid},\n\n    # raccordement\n    {\"raccordement\", \"\", :valid},\n    {\"raccordement\", \"Direct\", :valid},\n    {\"raccordement\", \"Indirect\", :valid},\n    {\"raccordement\", \"Autre\", :invalid},\n\n    # num_pdl\n    {\"num_pdl\", \"\", :valid},\n    {\"num_pdl\", \"12345678912345\", :valid},\n\n    # date_mise_en_service\n    {\"date_mise_en_service\", \"\", :valid},\n    {\"date_mise_en_service\", \"2021-12-30\", :valid},\n    {\"date_mise_en_service\", \"2020-02-29\", :valid},\n    {\"date_mise_en_service\", \"2024-02-30\", :invalid},\n    {\"date_mise_en_service\", \"30/12/2021\", :invalid},\n\n    # observations\n    {\"observations\", \"\", :valid},\n    {\"observations\", \"Bornes réservées aux abonnés\", :valid},\n\n    # date_maj\n    {\"date_maj\", \"2021-12-30\", :valid},\n    {\"date_maj\", \"2024-02-30\", :invalid},\n    {\"date_maj\", \"30/12/2021\", :invalid},\n    {\"date_maj\", \"\", :invalid},\n\n    # cable_t2_attache\n    {\"cable_t2_attache\", \"\", :valid},\n    {\"cable_t2_attache\", \"true\", :valid},\n    {\"cable_t2_attache\", \"false\", :valid}\n  ]\n\n  use ExUnit.Case,\n    async: true,\n    parameterize: Enum.map(@test_cases, &%{test_data: &1})\n\n  test \"validation\", %{test_data: test_data} do\n    test_the_validation(test_data)\n  end\n\n  # full row version - test the validation on the default factory row\n  defp test_the_validation({:full_default_factory_row, :valid}) do\n    row = DB.Factory.IRVE.generate_row() |> stringify_row()\n    result = run_dataframe_validators([row])\n    assert result[\"check_row_valid\"] |> Explorer.Series.to_list() == [true]\n    assert result |> Transport.IRVE.Validator.full_file_valid?()\n  end\n\n  # \"single field changed from the default factory row\" version\n  defp test_the_validation({field, value, validity}) do\n    row = %{field => value} |> DB.Factory.IRVE.generate_row() |> stringify_row()\n\n    row_valid_name = \"check_row_valid\"\n    column_valid_name = \"check_column_#{field}_valid\"\n\n    result =\n      [row]\n      |> run_dataframe_validators()\n      |> Explorer.DataFrame.select([row_valid_name, column_valid_name])\n      |> Explorer.DataFrame.to_rows()\n\n    validity = to_boolean(validity)\n\n    assert result == [%{row_valid_name => validity, column_valid_name => validity}]\n  end\n\n  defp to_boolean(:valid), do: true\n  defp to_boolean(:invalid), do: false\n\n  defp stringify_row(row), do: row |> Enum.map(fn {a, b} -> {a, b |> to_string} end)\n\n  defp run_dataframe_validators(rows) do\n    Transport.IRVE.Validator.compute_validation(rows |> Explorer.DataFrame.new())\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/validation/validator_test.exs",
    "content": "defmodule Transport.IRVE.ValidatorTest do\n  @moduledoc \"\"\"\n  This modules does high-level tests of the IRVE Validator module.\n  There are more tests:\n  - In the Transport.IRVE.Validator.DataFrameValidationTest module,\n  - And primitives are tested in Transport.DataFrame.Validation.PrimitivesTest.\n  \"\"\"\n\n  use ExUnit.Case, async: true\n  import Transport.TmpFile\n\n  test \"validate/1 returns a dataframe with validation columns\" do\n    csv_content = [DB.Factory.IRVE.generate_row()] |> DB.Factory.IRVE.to_csv_body()\n\n    with_tmp_file(csv_content, fn path ->\n      result = Transport.IRVE.Validator.validate(path)\n\n      assert %Explorer.DataFrame{} = result\n      assert \"check_row_valid\" in Explorer.DataFrame.names(result)\n      assert Transport.IRVE.Validator.full_file_valid?(result)\n    end)\n  end\n\n  test \"a ZIP file should raise an error\" do\n    with_tmp_file(_zip_content = \"PK\\x03\\x04\" <> \"some content\", fn path ->\n      assert_raise RuntimeError, ~r/content is likely to be a zip file/, fn ->\n        Transport.IRVE.Validator.validate(path)\n      end\n    end)\n  end\n\n  test \"a non-CSV file should raise an error\" do\n    with_tmp_file(\"non-csv-content\", fn path ->\n      assert_raise RuntimeError, \"the content is likely not a CSV file (extension is .pdf)\", fn ->\n        Transport.IRVE.Validator.validate(path, \".pdf\")\n      end\n    end)\n  end\n\n  test \"A schema V1 file should raise an error\" do\n    v1_like_row =\n      DB.Factory.IRVE.generate_row()\n      |> Map.put(\"n_operateur\", Map.get(DB.Factory.IRVE.generate_row(), \"nom_operateur\"))\n      |> Map.delete(\"nom_operateur\")\n\n    csv_content = [v1_like_row] |> DB.Factory.IRVE.to_csv_body()\n\n    with_tmp_file(csv_content, fn path ->\n      assert_raise RuntimeError, \"looks like a v1 irve\", fn ->\n        Transport.IRVE.Validator.validate(path)\n      end\n    end)\n  end\n\n  test \"A file without id_pdc_itinerance should raise an error\" do\n    v1_like_row =\n      DB.Factory.IRVE.generate_row()\n      |> Map.put(\"id_pdc\", Map.get(DB.Factory.IRVE.generate_row(), \"id_pdc_itinerance\"))\n      |> Map.delete(\"id_pdc_itinerance\")\n\n    csv_content = [v1_like_row] |> DB.Factory.IRVE.to_csv_body()\n\n    with_tmp_file(csv_content, fn path ->\n      assert_raise RuntimeError, \"content has no id_pdc_itinerance in first line\", fn ->\n        Transport.IRVE.Validator.validate(path)\n      end\n    end)\n  end\n\n  test \"A file with a tabulation as separator should raise an error\" do\n    csv_content =\n      [DB.Factory.IRVE.generate_row()]\n      |> CSV.encode(separator: ?\\t, delimiter: \"\\n\", headers: true)\n      |> Enum.join()\n\n    with_tmp_file(csv_content, fn path ->\n      assert_raise RuntimeError, \"unsupported column separator \\t\", fn ->\n        Transport.IRVE.Validator.validate(path)\n      end\n    end)\n  end\n\n  test \"A Latin-1-encoded file should be considered valid & its data transcoded to UTF-8\" do\n    # `é` is encoded differently in UTF-8 vs Latin-1, allowing us to verify transcoding\n    # `€` doesn't exist in Latin-1, so we use `EUR` instead\n    row =\n      DB.Factory.IRVE.generate_row(%{\n        \"nom_station\" => \"Ma station accentuée\",\n        \"tarification\" => \"2,50 EUR / 30min puis 0,025 EUR / minute\"\n      })\n\n    latin1_content = [row] |> DB.Factory.IRVE.to_csv_body() |> :unicode.characters_to_binary(:utf8, :latin1)\n    # sanity check that we actually have Latin-1 byte for the accent\n    assert latin1_content =~ <<\"Ma station accentu\", 0xE9, \"e\">>\n\n    with_tmp_file(latin1_content, fn path ->\n      result = Transport.IRVE.Validator.validate(path)\n      assert Transport.IRVE.Validator.full_file_valid?(result)\n      # and here we're back to UTF-8\n      assert result[\"nom_station\"] |> Explorer.Series.to_list() == [\"Ma station accentuée\"]\n    end)\n  end\n\n  test \"A file with a semicolon as separator should be validated correctly\" do\n    csv_content =\n      [DB.Factory.IRVE.generate_row()]\n      |> CSV.encode(separator: ?;, headers: true)\n      |> Enum.join()\n\n    with_tmp_file(csv_content, fn path ->\n      result = Transport.IRVE.Validator.validate(path)\n      assert Transport.IRVE.Validator.full_file_valid?(result)\n    end)\n  end\n\n  test \"A file with a missing optional column should be validated correctly\" do\n    csv_content =\n      [\n        DB.Factory.IRVE.generate_row() |> Map.delete(\"tarification\")\n      ]\n      |> DB.Factory.IRVE.to_csv_body()\n\n    with_tmp_file(csv_content, fn path ->\n      result = Transport.IRVE.Validator.validate(path)\n      assert Transport.IRVE.Validator.full_file_valid?(result)\n    end)\n  end\n\n  test \"A file with a faulty boolean should be validated correctly\" do\n    csv_content =\n      [\n        DB.Factory.IRVE.generate_row(%{\"prise_type_ef\" => \"VRAI\"})\n      ]\n      |> DB.Factory.IRVE.to_csv_body()\n\n    with_tmp_file(csv_content, fn path ->\n      result = Transport.IRVE.Validator.validate(path)\n      assert Transport.IRVE.Validator.full_file_valid?(result)\n    end)\n  end\n\n  test \"summarize/1 returns a valid summary for a valid file\" do\n    csv_content = [DB.Factory.IRVE.generate_row()] |> DB.Factory.IRVE.to_csv_body()\n\n    with_tmp_file(csv_content, fn path ->\n      summary = Transport.IRVE.Validator.validate(path) |> Transport.IRVE.Validator.summarize()\n\n      assert %Transport.IRVE.Validator.Summary{\n               valid: true,\n               valid_row_count: 1,\n               invalid_row_count: 0,\n               total_row_count: 1,\n               file_level_errors: [],\n               column_errors: %{},\n               error_samples: []\n             } == summary\n    end)\n  end\n\n  test \"summarize/1 reports column errors and caps error samples to 5 per column\" do\n    # 10 rows with invalid puissance_nominale, 1 row with invalid nbre_pdc (valid puissance_nominale)\n    invalid_puissance_rows = for _ <- 1..10, do: DB.Factory.IRVE.generate_row(%{\"puissance_nominale\" => \"not-a-number\"})\n    invalid_nbre_pdc_row = DB.Factory.IRVE.generate_row(%{\"nbre_pdc\" => \"not-a-number\"})\n    csv_content = (invalid_puissance_rows ++ [invalid_nbre_pdc_row]) |> DB.Factory.IRVE.to_csv_body()\n\n    with_tmp_file(csv_content, fn path ->\n      summary = Transport.IRVE.Validator.validate(path) |> Transport.IRVE.Validator.summarize()\n\n      assert summary.valid == false\n      assert summary.valid_row_count == 0\n      assert summary.invalid_row_count == 11\n      assert summary.column_errors == %{\"puissance_nominale\" => 10, \"nbre_pdc\" => 1}\n\n      # 5 samples from puissance_nominale (capped) + 1 from nbre_pdc\n      assert length(summary.error_samples) == 6\n\n      assert summary.error_samples\n             |> Enum.filter(&(&1.column == \"puissance_nominale\"))\n             |> Enum.all?(&(&1.value == \"not-a-number\"))\n\n      assert [%{column: \"nbre_pdc\", value: \"not-a-number\", id_pdc_itinerance: _}] =\n               Enum.filter(summary.error_samples, &(&1.column == \"nbre_pdc\"))\n    end)\n  end\n\n  test \"validate_and_summarize/1 returns a normal summary with file_level_error: nil for a valid file\" do\n    csv_content = [DB.Factory.IRVE.generate_row()] |> DB.Factory.IRVE.to_csv_body()\n\n    with_tmp_file(csv_content, fn path ->\n      summary = Transport.IRVE.Validator.validate_and_summarize(path)\n\n      assert %{valid: true, valid_row_count: 1, invalid_row_count: 0, file_level_errors: []} = summary\n    end)\n  end\n\n  test \"validate_and_summarize/1 returns an error summary instead of raising on a file-level error\" do\n    with_tmp_file(\"PK\\x03\\x04\" <> \"some content\", fn path ->\n      summary = Transport.IRVE.Validator.validate_and_summarize(path)\n\n      assert %{\n               valid: false,\n               valid_row_count: nil,\n               invalid_row_count: nil,\n               total_row_count: nil,\n               file_level_errors: [error_message],\n               column_errors: %{},\n               error_samples: []\n             } = summary\n\n      assert error_message =~ \"zip\"\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/irve/zip_probe_test.exs",
    "content": "defmodule Transport.ZipProbeTest do\n  use ExUnit.Case, async: true\n  doctest Transport.ZipProbe, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/archive_metrics_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ArchiveMetricsJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.ArchiveMetricsJob\n\n  doctest ArchiveMetricsJob, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"enqueues jobs\" do\n    today = %{DateTime.utc_now() | hour: 0}\n    last_month = today |> DateTime.add(-10, :day)\n    three_months_ago = today |> DateTime.add(-91, :day)\n    four_months_ago = today |> DateTime.add(-30 * 4, :day)\n    five_months_ago = today |> DateTime.add(-30 * 5, :day)\n\n    insert(:metrics, period: last_month, target: \"foo\", event: \"bar\")\n    insert(:metrics, period: three_months_ago, target: \"foo\", event: \"bar\")\n    insert(:metrics, period: three_months_ago |> DateTime.add(5, :hour), target: \"foo\", event: \"bar\")\n    insert(:metrics, period: four_months_ago, target: \"foo\", event: \"baz\")\n    insert(:metrics, period: four_months_ago |> DateTime.add(2, :hour), target: \"foo\", event: \"baz\")\n    # Don't need to process as we have a single line per (period, target, event)\n    insert(:metrics, period: five_months_ago, target: \"foo\", event: \"baz\")\n    insert(:metrics, period: five_months_ago, target: \"foo\", event: \"bar\")\n    insert(:metrics, period: five_months_ago, target: \"baz\", event: \"bar\")\n\n    assert :ok == perform_job(ArchiveMetricsJob, %{})\n\n    three_months_ago_date = three_months_ago |> DateTime.to_date() |> Date.to_iso8601()\n    four_months_ago_date = four_months_ago |> DateTime.to_date() |> Date.to_iso8601()\n\n    assert [\n             %Oban.Job{\n               state: \"scheduled\",\n               worker: \"Transport.Jobs.ArchiveMetricsJob\",\n               args: %{\"date\" => ^three_months_ago_date}\n             },\n             %Oban.Job{\n               state: \"scheduled\",\n               worker: \"Transport.Jobs.ArchiveMetricsJob\",\n               args: %{\"date\" => ^four_months_ago_date}\n             }\n           ] = all_enqueued()\n  end\n\n  test \"archives rows for a given day\" do\n    test_date = %{\n      (DateTime.utc_now()\n       |> DateTime.add(-91, :day)\n       |> DateTime.truncate(:second))\n      | hour: 0,\n        minute: 0,\n        second: 0\n    }\n\n    day_before = test_date |> DateTime.add(-1, :day)\n    day_after = test_date |> DateTime.add(1, :day)\n\n    insert(:metrics, period: day_before, target: \"foo\", event: \"baz\", count: 10)\n    insert(:metrics, period: day_after, target: \"foo\", event: \"baz\", count: 5)\n    insert(:metrics, period: test_date, target: \"foo\", event: \"baz\", count: 1)\n    insert(:metrics, period: test_date |> DateTime.add(4, :hour), target: \"foo\", event: \"baz\", count: 2)\n    insert(:metrics, period: test_date |> DateTime.add(6, :hour), target: \"foo\", event: \"bar\", count: 4)\n\n    assert :ok == perform_job(ArchiveMetricsJob, %{\"date\" => test_date |> DateTime.to_date() |> Date.to_iso8601()})\n\n    metrics =\n      DB.Metrics\n      |> select([m], [:target, :event, :count, :period])\n      |> order_by([m], [m.period, m.count])\n      |> DB.Repo.all()\n\n    assert [\n             %DB.Metrics{target: \"foo\", event: \"baz\", period: ^day_before, count: 10},\n             %DB.Metrics{target: \"foo\", event: \"baz\", period: ^test_date, count: 3},\n             %DB.Metrics{target: \"foo\", event: \"bar\", period: ^test_date, count: 4},\n             %DB.Metrics{target: \"foo\", event: \"baz\", period: ^day_after, count: 5}\n           ] = metrics\n  end\n\n  test \"does not try to archive if not past the retention period\" do\n    insert(:metrics, period: DateTime.utc_now(), target: \"foo\", event: \"baz\", count: 10)\n\n    assert {:cancel, _} = perform_job(ArchiveMetricsJob, %{\"date\" => Date.utc_today() |> Date.to_iso8601()})\n\n    refute Enum.empty?(DB.Metrics |> DB.Repo.all())\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/backfill/backfill_metadata_non_gtfs_resource_history_test.exs",
    "content": "defmodule Transport.Jobs.Backfill.ResourceHistoryMetadataNonGTFSTest do\n  use ExUnit.Case, async: true\n  import Transport.Jobs.Backfill.ResourceHistoryMetadataNonGTFS\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"updates a non GTFS ResourceHistory\" do\n    resource_history =\n      insert(:resource_history, %{\n        datagouv_id: datagouv_id = \"datagouv_id\",\n        payload: %{\n          \"format\" => \"NeTEx\",\n          \"other_field\" => \"other_value\",\n          \"resource_metadata\" => %{\n            \"modes\" => [],\n            \"end_date\" => nil,\n            \"networks\" => [],\n            \"has_fares\" => false,\n            \"has_shapes\" => false,\n            \"start_date\" => nil,\n            \"lines_count\" => 0\n          }\n        }\n      })\n\n    update_resource_history(resource_history.id)\n\n    res = DB.Repo.reload!(resource_history)\n\n    assert res.datagouv_id == datagouv_id\n    assert res.payload == %{\"format\" => \"NeTEx\", \"other_field\" => \"other_value\", \"resource_metadata\" => nil}\n  end\n\n  test \"leaves GTFS ResourceHistory alone\" do\n    resource_history =\n      insert(:resource_history, %{\n        datagouv_id: \"datagouv_id\",\n        payload: %{\n          \"format\" => \"GTFS\",\n          \"other_field\" => \"other_value\",\n          \"resource_metadata\" => %{\n            \"modes\" => [],\n            \"end_date\" => nil,\n            \"networks\" => [],\n            \"has_fares\" => false,\n            \"has_shapes\" => false,\n            \"start_date\" => nil,\n            \"lines_count\" => 0\n          }\n        }\n      })\n\n    update_resource_history(resource_history.id)\n    assert DB.Repo.reload!(resource_history) == resource_history\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/backfill/backfill_resource_history_filesize_test.exs",
    "content": "defmodule Transport.Jobs.Backfill.ResourceHistoryFileSizeTest do\n  use ExUnit.Case, async: true\n  import Transport.Jobs.Backfill.ResourceHistoryFileSize\n  import DB.Factory\n  import Mox\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"update a zip resource history\" do\n    %{id: id} =\n      insert(:resource_history, %{\n        datagouv_id: datagouv_id = \"datagouv_id\",\n        payload: %{\"total_compressed_size\" => size = 10, \"other_field\" => \"other_value\"}\n      })\n\n    update_resource_filesize(id)\n\n    res = DB.ResourceHistory |> DB.Repo.get!(id)\n\n    assert res.datagouv_id == datagouv_id\n    assert res.payload == %{\"total_compressed_size\" => size, \"filesize\" => size, \"other_field\" => \"other_value\"}\n  end\n\n  test \"update an other resource history\" do\n    %{id: id} =\n      insert(:resource_history, %{\n        datagouv_id: datagouv_id = \"datagouv_id\",\n        payload: %{\"permanent_url\" => url = \"https//example.com\", \"other_field\" => \"other_value\"}\n      })\n\n    size = \"1000\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:head, 1, fn ^url ->\n      {:ok, %{headers: [{\"coucou\", \"toi\"}, {\"content-length\", size}]}}\n    end)\n\n    update_resource_filesize(id)\n\n    res = DB.ResourceHistory |> DB.Repo.get!(id)\n\n    assert res.datagouv_id == datagouv_id\n\n    assert res.payload == %{\n             \"permanent_url\" => url,\n             \"filesize\" => size |> String.to_integer(),\n             \"other_field\" => \"other_value\"\n           }\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/backfill/backfill_resource_history_resource_id_test.exs",
    "content": "defmodule Transport.Jobs.Backfill.ResourceHistoryResourceIdTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.Backfill.ResourceHistoryResourceId\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"it updates columns\" do\n    resource_with_datagouv_id = insert(:resource, datagouv_id: Ecto.UUID.generate())\n    resource_history = insert(:resource_history, datagouv_id: resource_with_datagouv_id.datagouv_id)\n    fake_url = \"https://example.com/\" <> Ecto.UUID.generate()\n    fake_title = \"title\" <> Ecto.UUID.generate()\n    dataset = insert(:dataset)\n    resource_with_url = insert(:resource, url: fake_url, dataset: dataset)\n\n    resource_history_with_url =\n      insert(:resource_history,\n        payload: %{\"resource_metadata\" => %{\"url\" => fake_url}, \"dataset_id\" => resource_with_url.dataset_id}\n      )\n\n    resource_with_title = insert(:resource, title: fake_title, dataset: dataset)\n\n    resource_history_with_title =\n      insert(:resource_history, payload: %{\"title\" => fake_title, \"dataset_id\" => resource_with_url.dataset_id})\n\n    resource_history_orphan = insert(:resource_history)\n\n    assert :ok == perform_job(ResourceHistoryResourceId, %{})\n\n    resource_history = DB.Repo.reload!(resource_history)\n    resource_history_with_url = DB.Repo.reload!(resource_history_with_url)\n    resource_history_with_title = DB.Repo.reload!(resource_history_with_title)\n    resource_history_orphan = DB.Repo.reload!(resource_history_orphan)\n\n    assert resource_with_datagouv_id.id == resource_history.resource_id\n    assert resource_with_url.id == resource_history_with_url.resource_id\n    assert resource_with_title.id == resource_history_with_title.resource_id\n    assert is_nil(resource_history_orphan.resource_id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/backfill/backfill_resource_history_schema_details_test.exs",
    "content": "defmodule Transport.Jobs.Backfill.ResourceHistorySchemaDetailsTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.Backfill.ResourceHistorySchemaDetails\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"it updates the payload column\" do\n    schema_name = \"etalab/foo\"\n    resource = insert(:resource, schema_name: schema_name)\n    resource_with_schema_version = insert(:resource, schema_name: schema_name, schema_version: schema_version = \"0.1.2\")\n    resource_history = insert(:resource_history, resource_id: resource.id)\n\n    resource_history_with_schema =\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: existing_payload = %{\"schema_name\" => schema_name, \"foo\" => \"bar\"}\n      )\n\n    resource_history_without_version = insert(:resource_history, resource_id: resource_with_schema_version.id)\n\n    assert :ok == perform_job(ResourceHistorySchemaDetails, %{})\n\n    assert %DB.ResourceHistory{payload: %{\"schema_name\" => ^schema_name, \"schema_version\" => nil}} =\n             DB.Repo.reload!(resource_history)\n\n    assert %DB.ResourceHistory{payload: %{\"schema_name\" => ^schema_name, \"schema_version\" => ^schema_version}} =\n             DB.Repo.reload!(resource_history_without_version)\n\n    assert %DB.ResourceHistory{payload: ^existing_payload} = DB.Repo.reload!(resource_history_with_schema)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/clean_multi_validation_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.CleanMultiValidationJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.CleanMultiValidationJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"max_records is set to 1 in test\" do\n    assert CleanMultiValidationJob.max_records() == 1\n  end\n\n  test \"perform for real-time resources\" do\n    now = DateTime.utc_now()\n    month_ago = now |> DateTime.add(-30, :day)\n    two_month_ago = now |> DateTime.add(-60, :day)\n    %DB.Resource{id: r1_id} = r1 = insert(:resource)\n    %DB.Resource{id: r2_id} = r2 = insert(:resource)\n\n    insert(:multi_validation, result: %{\"value\" => 4}, binary_result: <<4>>, resource: r1, inserted_at: two_month_ago)\n    insert(:multi_validation, result: %{\"value\" => 3}, binary_result: <<3>>, resource: r1, inserted_at: month_ago)\n    insert(:multi_validation, result: %{\"value\" => 2}, binary_result: <<2>>, resource: r1, inserted_at: month_ago)\n    insert(:multi_validation, result: %{\"value\" => 1}, binary_result: <<1>>, resource: r1, inserted_at: now)\n\n    insert(:multi_validation, result: %{\"value\" => 3}, binary_result: <<3>>, resource: r2, inserted_at: month_ago)\n    insert(:multi_validation, result: %{\"value\" => 2}, binary_result: <<2>>, resource: r2, inserted_at: month_ago)\n    insert(:multi_validation, result: %{\"value\" => 1}, binary_result: <<1>>, resource: r2, inserted_at: now)\n\n    on_demand = insert(:multi_validation, result: %{\"value\" => 1}, oban_args: %{\"state\" => \"completed\"})\n\n    assert :ok == perform_job(CleanMultiValidationJob, %{\"real_time\" => true})\n\n    # oldest record has been nullified\n    assert [\n             nil,\n             %{\"value\" => 3},\n             %{\"value\" => 2},\n             %{\"value\" => 1}\n           ] == results_for_resource(r1_id)\n\n    assert [\n             nil,\n             <<3>>,\n             <<2>>,\n             <<1>>\n           ] == binary_results_for_resource(r1_id)\n\n    # records have not been touched\n    assert [\n             %{\"value\" => 3},\n             %{\"value\" => 2},\n             %{\"value\" => 1}\n           ] == results_for_resource(r2_id)\n\n    assert [\n             <<3>>,\n             <<2>>,\n             <<1>>\n           ] == binary_results_for_resource(r2_id)\n\n    assert %DB.MultiValidation{result: %{\"value\" => 1}} = reload(on_demand)\n\n    assert [\n             %Oban.Job{\n               worker: \"Transport.Jobs.CleanMultiValidationJob\",\n               state: \"scheduled\",\n               args: %{\"real_time\" => true}\n             }\n           ] = all_enqueued()\n  end\n\n  test \"perform for static resources\" do\n    %DB.Resource{id: r1_id} = r1 = insert(:resource)\n    %DB.Resource{id: r2_id} = r2 = insert(:resource)\n\n    insert(:multi_validation,\n      result: %{\"value\" => 4},\n      binary_result: <<4>>,\n      resource_history: insert(:resource_history, resource: r1)\n    )\n\n    insert(:multi_validation,\n      result: %{\"value\" => 3},\n      binary_result: <<3>>,\n      resource_history: insert(:resource_history, resource: r1)\n    )\n\n    insert(:multi_validation,\n      result: %{\"value\" => 2},\n      binary_result: <<2>>,\n      resource_history: insert(:resource_history, resource: r1)\n    )\n\n    insert(:multi_validation,\n      result: %{\"value\" => 1},\n      binary_result: <<1>>,\n      resource_history: insert(:resource_history, resource: r1)\n    )\n\n    insert(:multi_validation,\n      result: %{\"value\" => 3},\n      binary_result: <<3>>,\n      resource_history: insert(:resource_history, resource: r2)\n    )\n\n    insert(:multi_validation,\n      result: %{\"value\" => 2},\n      binary_result: <<2>>,\n      resource_history: insert(:resource_history, resource: r2)\n    )\n\n    insert(:multi_validation,\n      result: %{\"value\" => 1},\n      binary_result: <<1>>,\n      resource_history: insert(:resource_history, resource: r2)\n    )\n\n    on_demand = insert(:multi_validation, result: %{\"value\" => 1}, oban_args: %{\"state\" => \"completed\"})\n\n    assert :ok == perform_job(CleanMultiValidationJob, %{\"static\" => true})\n\n    # oldest record has been nullified\n    assert [\n             nil,\n             %{\"value\" => 3},\n             %{\"value\" => 2},\n             %{\"value\" => 1}\n           ] == results_for_resource_history(r1_id)\n\n    assert [\n             nil,\n             <<3>>,\n             <<2>>,\n             <<1>>\n           ] == binary_results_for_resource_history(r1_id)\n\n    # records have not been touched\n    assert [\n             %{\"value\" => 3},\n             %{\"value\" => 2},\n             %{\"value\" => 1}\n           ] == results_for_resource_history(r2_id)\n\n    assert [\n             <<3>>,\n             <<2>>,\n             <<1>>\n           ] == binary_results_for_resource_history(r2_id)\n\n    assert %DB.MultiValidation{result: %{\"value\" => 1}} = reload(on_demand)\n\n    assert [\n             %Oban.Job{\n               worker: \"Transport.Jobs.CleanMultiValidationJob\",\n               state: \"scheduled\",\n               args: %{\"static\" => true}\n             }\n           ] = all_enqueued()\n  end\n\n  test \"perform dispatches both jobs\" do\n    assert :ok == perform_job(CleanMultiValidationJob, %{})\n\n    assert [\n             %Oban.Job{\n               worker: \"Transport.Jobs.CleanMultiValidationJob\",\n               state: \"available\",\n               args: %{\"real_time\" => true}\n             },\n             %Oban.Job{\n               worker: \"Transport.Jobs.CleanMultiValidationJob\",\n               state: \"available\",\n               args: %{\"static\" => true}\n             }\n           ] = all_enqueued()\n  end\n\n  defp results_for_resource(r_id) do\n    for_resource(r_id)\n    |> Enum.map(& &1.result)\n  end\n\n  defp results_for_resource_history(r_id) do\n    for_resource_history(r_id)\n    |> Enum.map(& &1.result)\n  end\n\n  defp binary_results_for_resource(r_id) do\n    for_resource(r_id)\n    |> Enum.map(& &1.binary_result)\n  end\n\n  defp binary_results_for_resource_history(r_id) do\n    for_resource_history(r_id)\n    |> Enum.map(& &1.binary_result)\n  end\n\n  defp for_resource(r_id) do\n    DB.MultiValidation.base_query(include_result: true, include_binary_result: true)\n    |> where([mv], mv.resource_id == ^r_id)\n    |> order_by([mv], {:asc, mv.id})\n    |> DB.Repo.all()\n  end\n\n  defp for_resource_history(r_id) do\n    DB.MultiValidation.base_query(include_result: true, include_binary_result: true)\n    |> join(:inner, [mv], rh in DB.ResourceHistory, on: rh.id == mv.resource_history_id)\n    |> where([_mv, rh], rh.resource_id == ^r_id)\n    |> order_by([mv], {:asc, mv.id})\n    |> DB.Repo.all()\n  end\n\n  defp reload(%DB.MultiValidation{id: id}) do\n    DB.MultiValidation.with_result() |> where([mv], mv.id == ^id) |> DB.Repo.one!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/clean_on_demand_validation_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.CleanOnDemandValidationJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.CleanOnDemandValidationJob\n\n  doctest CleanOnDemandValidationJob, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"enqueues jobs\" do\n    today = DateTime.utc_now()\n    last_week = today |> DateTime.add(-7, :day)\n    last_month = today |> DateTime.add(-30, :day)\n    two_month_ago = today |> DateTime.add(-30, :day)\n    three_months_ago = today |> DateTime.add(-90, :day)\n\n    insert(:multi_validation,\n      result: %{\"valid\" => true},\n      binary_result: <<1>>,\n      oban_args: %{\"foo\" => \"bar\"},\n      inserted_at: last_week\n    )\n\n    insert(:multi_validation,\n      result: %{\"valid\" => true},\n      binary_result: <<1>>,\n      oban_args: %{\"foo\" => \"bar\"},\n      inserted_at: last_month\n    )\n\n    insert(:multi_validation,\n      result: %{\"valid\" => true},\n      binary_result: <<1>>,\n      oban_args: %{\"foo\" => \"bar\"},\n      inserted_at: last_month\n    )\n\n    insert(:multi_validation,\n      result: %{\"valid\" => true},\n      binary_result: <<1>>,\n      oban_args: %{\"foo\" => \"bar\"},\n      inserted_at: three_months_ago\n    )\n\n    # inserted more than 30 days ago, but already cleaned => should not be included\n    insert(:multi_validation, result: nil, binary_result: nil, oban_args: %{\"foo\" => \"bar\"}, inserted_at: two_month_ago)\n\n    assert :ok == perform_job(CleanOnDemandValidationJob, %{})\n\n    last_month_date = last_month |> DateTime.to_date() |> Date.to_iso8601()\n    three_months_ago_date = three_months_ago |> DateTime.to_date() |> Date.to_iso8601()\n\n    assert [\n             %Oban.Job{\n               state: \"scheduled\",\n               worker: \"Transport.Jobs.CleanOnDemandValidationJob\",\n               args: %{\"date\" => ^last_month_date}\n             },\n             %Oban.Job{\n               state: \"scheduled\",\n               worker: \"Transport.Jobs.CleanOnDemandValidationJob\",\n               args: %{\"date\" => ^three_months_ago_date}\n             }\n           ] = all_enqueued()\n  end\n\n  test \"archives rows for a given day\" do\n    test_datetime = DateTime.utc_now() |> DateTime.add(-31, :day)\n    other_datetime = test_datetime |> DateTime.add(-1, :day)\n\n    mv =\n      insert(:multi_validation,\n        oban_args: %{\"foo\" => \"bar\"},\n        result: %{\"result\" => 42},\n        binary_result: <<42>>,\n        data_vis: %{\"data_vis\" => 42},\n        inserted_at: test_datetime\n      )\n\n    # multi_validation created on another day: should be left untouched\n    %{id: mv2_id} =\n      insert(:multi_validation,\n        oban_args: %{\"foo\" => \"bar\"},\n        result: %{\"result\" => 42},\n        binary_result: <<42>>,\n        data_vis: %{\"data_vis\" => 42},\n        inserted_at: other_datetime\n      )\n\n    # multi_validation with `oban_args = nil`: should be left untouched\n    %{id: mv3_id} =\n      insert(:multi_validation,\n        oban_args: nil,\n        result: %{\"result\" => 42},\n        binary_result: <<42>>,\n        data_vis: %{\"data_vis\" => 42},\n        inserted_at: test_datetime\n      )\n\n    assert :ok ==\n             perform_job(CleanOnDemandValidationJob, %{\n               \"date\" => test_datetime |> DateTime.to_date() |> Date.to_iso8601()\n             })\n\n    # `result`, `binary_result` and `data_vis` have been cleaned\n    %DB.MultiValidation{result: nil, binary_result: nil, data_vis: nil} =\n      load_multivalidation(mv.id)\n\n    # Other records have not changed\n    %DB.MultiValidation{result: %{\"result\" => 42}, binary_result: <<42>>, data_vis: %{\"data_vis\" => 42}} =\n      load_multivalidation(mv2_id)\n\n    %DB.MultiValidation{result: %{\"result\" => 42}, binary_result: <<42>>, data_vis: %{\"data_vis\" => 42}} =\n      load_multivalidation(mv3_id)\n  end\n\n  test \"does not try to archive if not past the retention period\" do\n    assert {:cancel, \"Cannot archive rows if they are not older than 30 days\"} =\n             perform_job(CleanOnDemandValidationJob, %{\"date\" => Date.utc_today() |> Date.to_iso8601()})\n  end\n\n  defp load_multivalidation(mv_id) do\n    DB.MultiValidation.base_query(include_result: true, include_binary_result: true)\n    |> DB.Repo.get!(mv_id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/clean_orphan_conversions_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.CleanOrphanConversionsJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias DB.Repo\n  alias Transport.Jobs.CleanOrphanConversionsJob\n  alias Transport.Test.S3TestUtils\n\n  setup :verify_on_exit!\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"CleanOrphanConversionsJob\" do\n    test \"it deletes orphan rows\" do\n      uuid = Ecto.UUID.generate()\n      filename = \"folder/file.zip\"\n\n      data_conversion =\n        insert(:data_conversion,\n          resource_history_uuid: uuid,\n          payload: %{\"filename\" => filename},\n          convert_from: \"GTFS\",\n          convert_to: \"GeoJSON\"\n        )\n\n      S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:history), filename)\n\n      assert :ok == perform_job(CleanOrphanConversionsJob, %{})\n\n      assert is_nil(Repo.reload(data_conversion))\n    end\n\n    test \"it ignores rows with a matching ResourceHistory\" do\n      uuid = Ecto.UUID.generate()\n\n      insert(:resource_history, payload: %{\"uuid\" => uuid})\n\n      data_conversion =\n        insert(:data_conversion,\n          resource_history_uuid: uuid,\n          payload: %{},\n          convert_from: \"GTFS\",\n          convert_to: \"GeoJSON\"\n        )\n\n      assert :ok == perform_job(CleanOrphanConversionsJob, %{})\n\n      refute is_nil(Repo.reload(data_conversion))\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/consolidate_bnlc_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ConsolidateBNLCJobTest do\n  use ExUnit.Case, async: true\n  @moduletag :capture_log\n  use Oban.Testing, repo: DB.Repo\n  import Mox\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.ConsolidateBNLCJob\n\n  @target_schema \"etalab/schema-lieux-covoiturage\"\n  @tmp_path System.tmp_dir!() |> Path.join(\"bnlc.csv\")\n  @csv_latin1_path \"#{__DIR__}/../../fixture/files/csv_latin1.csv\"\n  @csv_utf8_path \"#{__DIR__}/../../fixture/files/csv_utf8.csv\"\n\n  doctest ConsolidateBNLCJob, import: true\n  setup :verify_on_exit!\n\n  setup do\n    # Using the real implementation for the moment, then it falls back on `HTTPoison.Mock`\n    Mox.stub_with(Datagouvfr.Client.Resources.Mock, Datagouvfr.Client.Resources.External)\n    Mox.stub_with(Datagouvfr.Client.Datasets.Mock, Datagouvfr.Client.Datasets.External)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"datagouv_dataset_slugs\" do\n    Transport.HTTPoison.Mock\n    |> expect(\n      :get!,\n      fn \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/datasets.csv\" ->\n        body = \"\"\"\n        dataset_url\n        https://demo.data.gouv.fr/fr/datasets/foo/\n        https://demo.data.gouv.fr/fr/datasets/bar\n        https://demo.data.gouv.fr/fr/datasets/bar/\n        \"\"\"\n\n        %HTTPoison.Response{status_code: 200, body: body}\n      end\n    )\n\n    assert [\"foo\", \"bar\"] == ConsolidateBNLCJob.datagouv_dataset_slugs()\n  end\n\n  test \"extract_dataset_details\" do\n    # foo is a 200 response including a resource with an appropriate schema\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/foo/\", \"\", [], [follow_redirect: true] ->\n      body = %{\"slug\" => \"foo\", \"resources\" => [%{\"schema\" => %{\"name\" => @target_schema}}]}\n      {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(body)}}\n    end)\n\n    # bar is a 200-response with a resource without a schema\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/bar/\", \"\", [], [follow_redirect: true] ->\n      body = %{\"slug\" => \"bar\", \"resources\" => [%{\"format\" => \"csv\"}]}\n      {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(body)}}\n    end)\n\n    # baz returns an error\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/baz/\", \"\", [], [follow_redirect: true] ->\n      {:ok, %HTTPoison.Response{status_code: 404, body: \"\"}}\n    end)\n\n    assert %{\n             errors: [\n               %{\n                 dataset_details: %{\"resources\" => [%{\"format\" => \"csv\"}], \"slug\" => \"bar\"},\n                 error: :not_at_least_one_appropriate_resource\n               },\n               %{dataset_slug: \"baz\", error: :dataset_not_found}\n             ],\n             ok: [%{\"resources\" => [%{\"schema\" => %{\"name\" => @target_schema}}], \"slug\" => \"foo\"}]\n           } == ConsolidateBNLCJob.extract_dataset_details([\"foo\", \"bar\", \"baz\"])\n  end\n\n  describe \"format_errors\" do\n    test \"it formats everything\" do\n      errors = %{\n        dataset_errors: [\n          %{error: :dataset_not_found, dataset_slug: \"404-slug\"},\n          %{\n            error: :not_at_least_one_appropriate_resource,\n            dataset_details: %{\"page\" => \"https://example.com/jdd\", \"title\" => \"JDD sans ressources\"}\n          }\n        ],\n        validation_errors: [\n          {%{\"page\" => \"https://example.com/jdd_erreur\", \"title\" => \"JDD avec erreurs\"},\n           %{\"title\" => \"Ressource avec erreurs\", \"schema\" => %{\"name\" => @target_schema}}}\n        ],\n        download_errors: [\n          {:download,\n           {%{\"page\" => \"https://example.com/jdd_download_error\", \"title\" => \"JDD avec erreur de téléchargement\"},\n            %{\"title\" => \"Ressource indisponible\", \"schema\" => %{\"name\" => @target_schema}}}}\n        ],\n        decode_errors: [\n          {:decode,\n           {%{\"page\" => \"https://example.com/jdd_decode_error\", \"title\" => \"JDD impossible à décoder\"},\n            %{\"title\" => \"Ressource mal formatée\", \"schema\" => %{\"name\" => @target_schema}}}}\n        ]\n      }\n\n      assert \"\"\"\n             <h2>Erreurs liées aux jeux de données</h2>\n             Le slug du jeu de données `404-slug` est introuvable via l'API<br/>Pas de ressources avec le schéma etalab/schema-lieux-covoiturage pour <a href=\\\"https://example.com/jdd\\\">JDD sans ressources</a>\n\n\n             <h2>Ressources non valides par rapport au schéma etalab/schema-lieux-covoiturage</h2>\n             Ressource `Ressource avec erreurs` (<a href=\"https://example.com/jdd_erreur\">JDD avec erreurs</a>)\n\n\n             <h2>Impossible de télécharger les ressources suivantes</h2>\n             Ressource `Ressource indisponible` (<a href=\"https://example.com/jdd_download_error\">JDD avec erreur de téléchargement</a>)\n\n\n             <h2>Impossible de décoder les fichiers CSV suivants</h2>\n             Ressource `Ressource mal formatée` (<a href=\"https://example.com/jdd_decode_error\">JDD impossible à décoder</a>)\\\n             \"\"\" == ConsolidateBNLCJob.format_errors(errors)\n    end\n\n    test \"nil when there are no errors\" do\n      assert nil ==\n               ConsolidateBNLCJob.format_errors(%{\n                 dataset_errors: [],\n                 validation_errors: [],\n                 download_errors: [],\n                 decode_errors: []\n               })\n    end\n  end\n\n  test \"valid_datagouv_resources\" do\n    datasets_details = [\n      dataset_details = %{\n        \"resources\" => [\n          resource = %{\n            \"schema\" => %{\"name\" => @target_schema},\n            \"url\" => url = \"https://example.com/file.csv\"\n          },\n          # Ignored, not the expected schema\n          %{\"format\" => \"GTFS\"},\n          # Ignored: XLSX\n          %{\n            \"schema\" => %{\"name\" => @target_schema},\n            \"format\" => \"xlsx\"\n          },\n          other_resource = %{\n            \"schema\" => %{\"name\" => @target_schema},\n            \"url\" => other_url = \"https://example.com/other_file.csv\"\n          }\n        ],\n        \"slug\" => \"foo\"\n      },\n      # Another dataset where we will simulate a validation error (validator's fault)\n      other_dataset_details = %{\n        \"resources\" => [\n          validation_error_resource = %{\n            \"schema\" => %{\"name\" => @target_schema},\n            \"url\" => file_error_url = \"https://example.com/file_error.csv\"\n          }\n        ],\n        \"slug\" => \"bar\"\n      }\n    ]\n\n    Transport.Validators.TableSchema.Mock\n    |> expect(:validate, fn \"etalab/schema-lieux-covoiturage\", ^url ->\n      %{\"has_errors\" => false}\n    end)\n\n    Transport.Validators.TableSchema.Mock\n    |> expect(:validate, fn \"etalab/schema-lieux-covoiturage\", ^other_url ->\n      %{\"has_errors\" => true}\n    end)\n\n    Transport.Validators.TableSchema.Mock\n    |> expect(:validate, fn \"etalab/schema-lieux-covoiturage\", ^file_error_url ->\n      nil\n    end)\n\n    assert %{\n             errors: [\n               {:error, dataset_details, other_resource},\n               {:validator_unavailable_error, other_dataset_details, validation_error_resource}\n             ],\n             ok: [{dataset_details, resource}]\n           } == ConsolidateBNLCJob.valid_datagouv_resources(datasets_details)\n  end\n\n  test \"download_resources\" do\n    dataset_detail = %{\n      \"resources\" => [\n        resource = %{\n          \"id\" => resource_id = Ecto.UUID.generate(),\n          \"schema\" => %{\"name\" => @target_schema},\n          \"url\" => url = \"https://example.com/file.csv\"\n        }\n      ],\n      \"slug\" => \"foo\"\n    }\n\n    dataset_download_error_detail = %{\n      \"resources\" => [\n        resource_download_error = %{\n          \"id\" => Ecto.UUID.generate(),\n          \"schema\" => %{\"name\" => @target_schema},\n          \"url\" => download_error_url = \"https://example.com/download_error.csv\"\n        }\n      ],\n      \"slug\" => \"bar\"\n    }\n\n    dataset_decode_error_detail = %{\n      \"resources\" => [\n        resource_decode_error = %{\n          \"id\" => resource_decode_error_id = Ecto.UUID.generate(),\n          \"schema\" => %{\"name\" => @target_schema},\n          \"url\" => decode_error_url = \"https://example.com/decode_error.csv\"\n        }\n      ],\n      \"slug\" => \"baz\"\n    }\n\n    Transport.HTTPoison.Mock\n    |> expect(:get, fn ^url, [], [follow_redirect: true] ->\n      body = \"\"\"\n      foo,bar\n      1,2\n      \"\"\"\n\n      {:ok, %HTTPoison.Response{status_code: 200, body: body}}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:get, fn ^download_error_url, [], [follow_redirect: true] ->\n      {:ok, %HTTPoison.Response{status_code: 500, body: \"\"}}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:get, fn ^decode_error_url, [], [follow_redirect: true] ->\n      # Malformed CSV: unescaped double quotes: `\"\"2\"`\n      body = \"\"\"\n      \"foo\",\"bar\"\n      \"1\",\"\"2\"\n      \"\"\"\n\n      {:ok, %HTTPoison.Response{status_code: 200, body: body}}\n    end)\n\n    resources_details = [\n      {dataset_detail, resource},\n      {dataset_download_error_detail, resource_download_error},\n      {dataset_decode_error_detail, resource_decode_error}\n    ]\n\n    assert %{\n             errors: [\n               {:download, {^dataset_download_error_detail, ^resource_download_error}},\n               {:decode,\n                {^dataset_decode_error_detail,\n                 %{\n                   \"id\" => ^resource_decode_error_id,\n                   \"encoding\" => :utf8,\n                   \"csv_separator\" => ?,,\n                   \"tmp_download_path\" => tmp_decode_error_download_path,\n                   \"url\" => ^decode_error_url\n                 }}}\n             ],\n             ok: [\n               {^dataset_detail,\n                %{\n                  \"id\" => ^resource_id,\n                  \"url\" => ^url,\n                  \"encoding\" => :utf8,\n                  \"csv_separator\" => ?,,\n                  \"tmp_download_path\" => tmp_download_path\n                }}\n             ]\n           } = ConsolidateBNLCJob.download_resources(resources_details)\n\n    assert String.ends_with?(tmp_download_path, \"consolidate_bnlc_#{resource_id}\")\n    assert File.exists?(tmp_download_path)\n    refute File.exists?(tmp_decode_error_download_path)\n  end\n\n  test \"guess_csv_separator\" do\n    assert ?, ==\n             ConsolidateBNLCJob.guess_csv_separator(\"\"\"\n             foo,bar\n             1,2\n             \"\"\")\n\n    assert ?; ==\n             ConsolidateBNLCJob.guess_csv_separator(\"\"\"\n             foo;bar\n             1;2\n             \"\"\")\n\n    assert ?; ==\n             ConsolidateBNLCJob.guess_csv_separator(\"\"\"\n             \"foo\";\"bar\"\n             1;2\n             \"\"\")\n  end\n\n  test \"guess_encoding\" do\n    assert :latin1 == ConsolidateBNLCJob.guess_encoding(@csv_latin1_path)\n    assert :utf8 == ConsolidateBNLCJob.guess_encoding(@csv_utf8_path)\n  end\n\n  test \"bnlc_csv_headers\" do\n    Transport.HTTPoison.Mock\n    |> expect(\n      :get!,\n      fn \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/bnlc-.csv\" ->\n        body = \"\"\"\n        \"foo\",\"bar\",\"baz\",\"id_lieu\"\n        a,1,2,3\n        \"\"\"\n\n        %HTTPoison.Response{status_code: 200, body: body}\n      end\n    )\n\n    assert [\"foo\", \"bar\", \"baz\", \"id_lieu\"] == ConsolidateBNLCJob.bnlc_csv_headers()\n  end\n\n  test \"consolidate_resources\" do\n    dataset_detail = %{\n      \"resources\" => [\n        resource = %{\n          \"id\" => resource_id = Ecto.UUID.generate(),\n          \"schema\" => %{\"name\" => @target_schema},\n          \"url\" => url = \"https://example.com/file.csv\"\n        }\n      ],\n      \"slug\" => \"foo\",\n      \"id\" => dataset_id = Ecto.UUID.generate()\n    }\n\n    other_dataset_detail = %{\n      \"resources\" => [\n        other_resource = %{\n          \"id\" => other_resource_id = Ecto.UUID.generate(),\n          \"schema\" => %{\"name\" => @target_schema},\n          \"url\" => other_url = \"https://example.com/other_file.csv\"\n        }\n      ],\n      \"slug\" => \"bar\",\n      \"id\" => other_dataset_id = Ecto.UUID.generate()\n    }\n\n    Transport.HTTPoison.Mock\n    |> expect(:get, fn ^url, [], [follow_redirect: true] ->\n      # A CSV with BOM (byte order mark)\n      body = \"\"\"\n      \\uFEFFfoo,bar,baz,insee,id_local\n      1,2,3,21231,1\n      4,5,6,21231,2\n      \"\"\"\n\n      {:ok, %HTTPoison.Response{status_code: 200, body: body}}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:get, fn ^other_url, [], [follow_redirect: true] ->\n      body = \"\"\"\n      \"foo\";\"bar\";\"baz\";\"insee\";\"id_local\";\"extra_col\";\"id_lieu\"\n      \"a\";\"b\";\"c\";\"21231\";\"3\";\"its_a_trap\";\"not_falling_for_this\"\n      \"d\";\"e\";\"f\";\"21231\";\"4\";\"should_be_ignored\";\"cant_mess_with_me\"\n      \"\"\"\n\n      {:ok, %HTTPoison.Response{status_code: 200, body: body}}\n    end)\n\n    resources_details = [{dataset_detail, resource}, {other_dataset_detail, other_resource}]\n    assert %{errors: [], ok: res} = ConsolidateBNLCJob.download_resources(resources_details)\n\n    Transport.HTTPoison.Mock\n    |> expect(\n      :get!,\n      2,\n      fn \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/bnlc-.csv\" ->\n        body = \"\"\"\n        \"foo\",\"bar\",\"baz\",\"id_lieu\",\"insee\",\"id_local\"\n        I,Love,CSV,3,21231,5\n        Very,Much,So,4,21231,6\n        \"\"\"\n\n        %HTTPoison.Response{status_code: 200, body: body}\n      end\n    )\n\n    assert :ok == ConsolidateBNLCJob.consolidate_resources(res)\n\n    assert [\n             %{\n               \"foo\" => \"I\",\n               \"bar\" => \"Love\",\n               \"baz\" => \"CSV\",\n               \"insee\" => \"21231\",\n               \"id_local\" => \"5\",\n               \"id_lieu\" => \"21231-5\",\n               \"dataset_id\" => \"bnlc_github\",\n               \"resource_id\" => \"bnlc_github\"\n             },\n             %{\n               \"foo\" => \"Very\",\n               \"bar\" => \"Much\",\n               \"baz\" => \"So\",\n               \"insee\" => \"21231\",\n               \"id_local\" => \"6\",\n               \"id_lieu\" => \"21231-6\",\n               \"dataset_id\" => \"bnlc_github\",\n               \"resource_id\" => \"bnlc_github\"\n             },\n             %{\n               \"foo\" => \"1\",\n               \"bar\" => \"2\",\n               \"baz\" => \"3\",\n               \"insee\" => \"21231\",\n               \"id_local\" => \"1\",\n               \"id_lieu\" => \"21231-1\",\n               \"dataset_id\" => dataset_id,\n               \"resource_id\" => resource_id\n             },\n             %{\n               \"foo\" => \"4\",\n               \"bar\" => \"5\",\n               \"baz\" => \"6\",\n               \"insee\" => \"21231\",\n               \"id_local\" => \"2\",\n               \"id_lieu\" => \"21231-2\",\n               \"dataset_id\" => dataset_id,\n               \"resource_id\" => resource_id\n             },\n             %{\n               \"foo\" => \"a\",\n               \"bar\" => \"b\",\n               \"baz\" => \"c\",\n               \"insee\" => \"21231\",\n               \"id_local\" => \"3\",\n               \"id_lieu\" => \"21231-3\",\n               \"dataset_id\" => other_dataset_id,\n               \"resource_id\" => other_resource_id\n             },\n             %{\n               \"foo\" => \"d\",\n               \"bar\" => \"e\",\n               \"baz\" => \"f\",\n               \"insee\" => \"21231\",\n               \"id_local\" => \"4\",\n               \"id_lieu\" => \"21231-4\",\n               \"dataset_id\" => other_dataset_id,\n               \"resource_id\" => other_resource_id\n             }\n           ] == @tmp_path |> File.stream!() |> CSV.decode!(headers: true) |> Enum.to_list()\n\n    # From https://datatracker.ietf.org/doc/html/rfc4180#section-2\n    # > Each record is located on a separate line, delimited by a line break (CRLF)\n    # We could change to just a newline, using the `delimiter` option:\n    # https://hexdocs.pm/csv/CSV.html#encode/2\n    assert \"\"\"\n           id_lieu,foo,bar,baz,insee,id_local,dataset_id,resource_id\\r\n           21231-5,I,Love,CSV,21231,5,bnlc_github,bnlc_github\\r\n           21231-6,Very,Much,So,21231,6,bnlc_github,bnlc_github\\r\n           21231-1,1,2,3,21231,1,#{dataset_id},#{resource_id}\\r\n           21231-2,4,5,6,21231,2,#{dataset_id},#{resource_id}\\r\n           21231-3,a,b,c,21231,3,#{other_dataset_id},#{other_resource_id}\\r\n           21231-4,d,e,f,21231,4,#{other_dataset_id},#{other_resource_id}\\r\n           \"\"\" == File.read!(@tmp_path)\n\n    # Temporary files have been removed\n    [{_, r1}, {_, r2}] = res\n    refute r1 |> Map.fetch!(\"tmp_download_path\") |> File.exists?()\n    refute r2 |> Map.fetch!(\"tmp_download_path\") |> File.exists?()\n  end\n\n  describe \"perform\" do\n    test \"simple success case, no errors\" do\n      Transport.HTTPoison.Mock\n      |> expect(\n        :get!,\n        fn \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/datasets.csv\" ->\n          body = \"\"\"\n          dataset_url\n          https://demo.data.gouv.fr/fr/datasets/foo/\n          https://demo.data.gouv.fr/fr/datasets/bar\n          \"\"\"\n\n          %HTTPoison.Response{status_code: 200, body: body}\n        end\n      )\n\n      foo_dataset_response = %{\n        \"id\" => foo_dataset_id = Ecto.UUID.generate(),\n        \"slug\" => \"foo\",\n        \"resources\" => [\n          %{\n            \"schema\" => %{\"name\" => @target_schema},\n            \"id\" => foo_resource_id = Ecto.UUID.generate(),\n            \"url\" => foo_url = \"https://example.com/foo.csv\"\n          },\n          # Should be ignored, irrelevant resource\n          %{\n            \"id\" => Ecto.UUID.generate(),\n            \"url\" => \"fake\",\n            \"format\" => \"GTFS\"\n          }\n        ]\n      }\n\n      bar_dataset_response = %{\n        \"id\" => bar_dataset_id = Ecto.UUID.generate(),\n        \"slug\" => \"bar\",\n        \"resources\" => [\n          %{\n            \"schema\" => %{\"name\" => @target_schema},\n            \"id\" => bar_resource_id = Ecto.UUID.generate(),\n            \"url\" => bar_url = \"https://example.com/bar.csv\"\n          }\n        ]\n      }\n\n      # Calling the data.gouv.fr's API to get dataset details\n      Transport.HTTPoison.Mock\n      |> expect(:request, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/foo/\", \"\", [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(foo_dataset_response)}}\n      end)\n\n      Transport.HTTPoison.Mock\n      |> expect(:request, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/bar/\", \"\", [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(bar_dataset_response)}}\n      end)\n\n      # Validating resources with the schema validator\n      Transport.Validators.TableSchema.Mock\n      |> expect(:validate, fn \"etalab/schema-lieux-covoiturage\", ^foo_url ->\n        %{\"has_errors\" => false}\n      end)\n\n      Transport.Validators.TableSchema.Mock\n      |> expect(:validate, fn \"etalab/schema-lieux-covoiturage\", ^bar_url ->\n        %{\"has_errors\" => false}\n      end)\n\n      # Fetching CSV content and storing files locally\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^foo_url, [], [follow_redirect: true] ->\n        body = \"\"\"\n        \"foo\";\"bar\";\"baz\";\"insee\";\"id_local\"\n        \"a\";\"b\";\"c\";\"21231\";\"1\"\n        \"d\";\"e\";\"f\";\"21231\";\"2\"\n        \"\"\"\n\n        {:ok, %HTTPoison.Response{status_code: 200, body: body}}\n      end)\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^bar_url, [], [follow_redirect: true] ->\n        # A CSV with BOM (byte order mark)\n        body = \"\"\"\n        \\uFEFFfoo,bar,baz,insee,id_local,extra_col,id_lieu\n        1,2,3,21231,3,is_ignored,is_generated_again\n        \"\"\"\n\n        {:ok, %HTTPoison.Response{status_code: 200, body: body}}\n      end)\n\n      # Fetching the BNLC content hosted on GitHub\n      Transport.HTTPoison.Mock\n      |> expect(\n        :get!,\n        2,\n        fn \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/bnlc-.csv\" ->\n          body = \"\"\"\n          \"foo\",\"bar\",\"baz\",\"insee\",\"id_local\"\n          I,Love,CSV,21231,4\n          Very,Much,So,21231,5\n          \"\"\"\n\n          %HTTPoison.Response{status_code: 200, body: body}\n        end\n      )\n\n      expect_s3_stream_upload()\n\n      assert :ok == perform_job(ConsolidateBNLCJob, %{})\n\n      assert_ok_email_sent()\n      expect_job_scheduled_to_remove_file()\n\n      # CSV content is fine\n      assert \"\"\"\n             id_lieu,foo,bar,baz,insee,id_local,dataset_id,resource_id\\r\n             21231-4,I,Love,CSV,21231,4,bnlc_github,bnlc_github\\r\n             21231-5,Very,Much,So,21231,5,bnlc_github,bnlc_github\\r\n             21231-1,a,b,c,21231,1,#{foo_dataset_id},#{foo_resource_id}\\r\n             21231-2,d,e,f,21231,2,#{foo_dataset_id},#{foo_resource_id}\\r\n             21231-3,1,2,3,21231,3,#{bar_dataset_id},#{bar_resource_id}\\r\n             \"\"\" == File.read!(@tmp_path)\n    end\n\n    test \"stops when the schema validator is down\" do\n      Transport.HTTPoison.Mock\n      |> expect(\n        :get!,\n        fn \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/datasets.csv\" ->\n          body = \"\"\"\n          dataset_url\n          https://demo.data.gouv.fr/fr/datasets/foo/\n          \"\"\"\n\n          %HTTPoison.Response{status_code: 200, body: body}\n        end\n      )\n\n      dataset_response = %{\n        \"slug\" => \"foo\",\n        \"resources\" => [\n          %{\n            \"schema\" => %{\"name\" => @target_schema},\n            \"id\" => Ecto.UUID.generate(),\n            \"url\" => foo_url = \"https://example.com/foo.csv\"\n          },\n          %{\n            \"schema\" => %{\"name\" => @target_schema},\n            \"id\" => Ecto.UUID.generate(),\n            \"url\" => bar_url = \"https://example.com/bar.csv\"\n          }\n        ]\n      }\n\n      # Calling the data.gouv.fr's API to get dataset details\n      Transport.HTTPoison.Mock\n      |> expect(:request, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/foo/\", \"\", [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(dataset_response)}}\n      end)\n\n      # Validating resources with the schema validator\n      Transport.Validators.TableSchema.Mock\n      |> expect(:validate, fn \"etalab/schema-lieux-covoiturage\", ^foo_url -> nil end)\n\n      Transport.Validators.TableSchema.Mock\n      |> expect(:validate, fn \"etalab/schema-lieux-covoiturage\", ^bar_url ->\n        %{\"has_errors\" => false}\n      end)\n\n      assert {:discard, \"Cannot consolidate the BNLC because the TableSchema validator is not available\"} ==\n               perform_job(ConsolidateBNLCJob, %{})\n    end\n\n    test \"when a resource is not valid\" do\n      Transport.HTTPoison.Mock\n      |> expect(\n        :get!,\n        fn \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/datasets.csv\" ->\n          body = \"\"\"\n          dataset_url\n          https://demo.data.gouv.fr/fr/datasets/foo/\n          https://demo.data.gouv.fr/fr/datasets/bar\n          \"\"\"\n\n          %HTTPoison.Response{status_code: 200, body: body}\n        end\n      )\n\n      foo_dataset_response = %{\n        \"id\" => foo_dataset_id = Ecto.UUID.generate(),\n        \"slug\" => \"foo\",\n        \"resources\" => [\n          %{\n            \"schema\" => %{\"name\" => @target_schema},\n            \"id\" => foo_resource_id = Ecto.UUID.generate(),\n            \"url\" => foo_url = \"https://example.com/foo.csv\"\n          },\n          # Should be ignored, irrelevant resource\n          %{\n            \"id\" => Ecto.UUID.generate(),\n            \"url\" => \"fake\",\n            \"format\" => \"GTFS\"\n          }\n        ]\n      }\n\n      bar_dataset_response = %{\n        \"id\" => Ecto.UUID.generate(),\n        \"slug\" => \"bar\",\n        \"title\" => \"Bar JDD\",\n        \"page\" => \"https://data.gouv.fr/bar\",\n        \"resources\" => [\n          %{\n            \"schema\" => %{\"name\" => @target_schema},\n            \"id\" => Ecto.UUID.generate(),\n            \"url\" => bar_url = \"https://example.com/bar.csv\",\n            \"title\" => \"Bar CSV\"\n          }\n        ]\n      }\n\n      # Calling the data.gouv.fr's API to get dataset details\n      Transport.HTTPoison.Mock\n      |> expect(:request, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/foo/\", \"\", [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(foo_dataset_response)}}\n      end)\n\n      Transport.HTTPoison.Mock\n      |> expect(:request, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/bar/\", \"\", [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(bar_dataset_response)}}\n      end)\n\n      # Validating resources with the schema validator\n      Transport.Validators.TableSchema.Mock\n      |> expect(:validate, fn \"etalab/schema-lieux-covoiturage\", ^foo_url ->\n        %{\"has_errors\" => false}\n      end)\n\n      Transport.Validators.TableSchema.Mock\n      |> expect(:validate, fn \"etalab/schema-lieux-covoiturage\", ^bar_url ->\n        %{\"has_errors\" => true}\n      end)\n\n      # Fetching CSV content and storing files locally\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^foo_url, [], [follow_redirect: true] ->\n        body = \"\"\"\n        \"foo\";\"bar\";\"baz\";\"insee\";\"id_local\"\n        \"a\";\"b\";\"c\";\"21231\";\"1\"\n        \"d\";\"e\";\"f\";\"21231\";\"2\"\n        \"\"\"\n\n        {:ok, %HTTPoison.Response{status_code: 200, body: body}}\n      end)\n\n      # Fetching the BNLC content hosted on GitHub\n      Transport.HTTPoison.Mock\n      |> expect(\n        :get!,\n        2,\n        fn \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/bnlc-.csv\" ->\n          body = \"\"\"\n          \"foo\",\"bar\",\"baz\",\"insee\",\"id_local\"\n          I,Love,CSV,21231,3\n          Very,Much,So,21231,4\n          \"\"\"\n\n          %HTTPoison.Response{status_code: 200, body: body}\n        end\n      )\n\n      expect_s3_stream_upload()\n\n      assert :ok == perform_job(ConsolidateBNLCJob, %{})\n\n      assert_ko_email_sent()\n\n      expect_job_scheduled_to_remove_file()\n\n      assert \"\"\"\n             id_lieu,foo,bar,baz,insee,id_local,dataset_id,resource_id\\r\n             21231-3,I,Love,CSV,21231,3,bnlc_github,bnlc_github\\r\n             21231-4,Very,Much,So,21231,4,bnlc_github,bnlc_github\\r\n             21231-1,a,b,c,21231,1,#{foo_dataset_id},#{foo_resource_id}\\r\n             21231-2,d,e,f,21231,2,#{foo_dataset_id},#{foo_resource_id}\\r\n             \"\"\" == File.read!(@tmp_path)\n    end\n  end\n\n  test \"replace_file_on_datagouv\" do\n    File.write!(@tmp_path, \"fake_content\")\n\n    expect_datagouv_upload_file_http_call()\n\n    ConsolidateBNLCJob.replace_file_on_datagouv()\n\n    refute File.exists?(@tmp_path)\n  end\n\n  test \"perform and update file on data.gouv.fr\" do\n    Transport.HTTPoison.Mock\n    |> expect(\n      :get!,\n      fn \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/datasets.csv\" ->\n        %HTTPoison.Response{status_code: 200, body: \"dataset_url\"}\n      end\n    )\n\n    Transport.HTTPoison.Mock\n    |> expect(\n      :get!,\n      2,\n      fn \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/bnlc-.csv\" ->\n        body = \"\"\"\n        \"foo\",\"bar\",\"baz\",\"insee\",\"id_local\"\n        I,Love,CSV,21231,3\n        Very,Much,So,21231,4\n        \"\"\"\n\n        %HTTPoison.Response{status_code: 200, body: body}\n      end\n    )\n\n    expect_s3_stream_upload()\n    expect_datagouv_upload_file_http_call()\n\n    assert :ok == perform_job(ConsolidateBNLCJob, %{\"action\" => \"datagouv_update\"})\n\n    assert_ok_email_sent()\n\n    expect_job_scheduled_to_remove_file()\n\n    refute File.exists?(@tmp_path)\n  end\n\n  describe \"deleting a temporary file\" do\n    test \"perform with a wrong filename\" do\n      assert {:discard, ~s[Cannot delete file, unexpected filename: \"foo\"]} ==\n               perform_job(ConsolidateBNLCJob, %{\"action\" => \"delete_s3_file\", \"filename\" => \"foo\"})\n    end\n\n    test \"perform with an appropriate filename\" do\n      filename = \"bnlc-#{Ecto.UUID.generate()}\"\n\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.Operation.S3{} = operation ->\n        assert %ExAws.Operation.S3{\n                 bucket: \"transport-data-gouv-fr-on-demand-validation-test\",\n                 path: ^filename,\n                 http_method: :delete,\n                 service: :s3\n               } = operation\n\n        :ok\n      end)\n\n      assert :ok == perform_job(ConsolidateBNLCJob, %{\"action\" => \"delete_s3_file\", \"filename\" => filename})\n    end\n  end\n\n  defp expect_s3_stream_upload do\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn %ExAws.S3.Upload{\n                              src: %File.Stream{},\n                              bucket: \"transport-data-gouv-fr-on-demand-validation-test\",\n                              path: path,\n                              opts: [acl: :public_read],\n                              service: :s3\n                            } ->\n      assert path =~ ~r\"^bnlc-.*\\.csv$\"\n    end)\n  end\n\n  defp expect_datagouv_upload_file_http_call do\n    tmp_path = @tmp_path\n\n    expected_url =\n      \"https://demo.data.gouv.fr/api/1/datasets/bnlc_fake_dataset_id/resources/bnlc_fake_resource_id/upload/\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :post,\n                           ^expected_url,\n                           args,\n                           [{\"content-type\", \"multipart/form-data\"}, {\"X-API-KEY\", \"fake-datagouv-api-key\"}],\n                           [follow_redirect: true] ->\n      {:multipart, [{:file, ^tmp_path, {\"form-data\", [name: \"file\", filename: \"bnlc.csv\"]}, []}]} = args\n      {:ok, %HTTPoison.Response{body: \"\", status_code: 200}}\n    end)\n  end\n\n  defp expect_job_scheduled_to_remove_file do\n    # A job has been enqueued and scheduled to delete the temporary file stored in the bucket\n    assert [\n             %Oban.Job{\n               worker: \"Transport.Jobs.ConsolidateBNLCJob\",\n               args: %{\"action\" => \"delete_s3_file\", \"filename\" => filename},\n               scheduled_at: scheduled_at\n             }\n           ] = all_enqueued()\n\n    assert_in_delta 7 * 4, DateTime.diff(scheduled_at, DateTime.utc_now(), :day), 1\n    assert filename =~ ~r\"^bnlc-.*\\.csv$\"\n  end\n\n  defp assert_ok_email_sent do\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{\"\", \"contact@transport.data.gouv.fr\"}],\n                           subject: \"[OK] Rapport de consolidation de la BNLC\",\n                           html_body: html_body\n                         } ->\n      assert html_body =~ ~r\"✅ La consolidation s'est déroulée sans erreurs\"\n\n      assert html_body =~\n               ~r{🔗 <a href=\"https://transport-data-gouv-fr-on-demand-validation-test.cellar-c2.services.clever-cloud.com/bnlc-.*\\.csv\">Fichier consolidé</a>}\n    end)\n  end\n\n  defp assert_ko_email_sent do\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{\"\", \"contact@transport.data.gouv.fr\"}],\n                           subject: \"[ERREUR] Rapport de consolidation de la BNLC\",\n                           html_body: html_body\n                         } ->\n      assert html_body =~\n               ~s{<h2>Ressources non valides par rapport au schéma etalab/schema-lieux-covoiturage</h2>\\nRessource `Bar CSV` (<a href=\"https://data.gouv.fr/bar\">Bar JDD</a>)}\n\n      assert html_body =~\n               ~r{🔗 <a href=\"https://transport-data-gouv-fr-on-demand-validation-test.cellar-c2.services.clever-cloud.com/bnlc-.*\\.csv\">Fichier consolidé</a>}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/consolidate_lez_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ConsolidateLEZsJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Transport.Jobs.ConsolidateLEZsJob\n\n  doctest Transport.Jobs.ConsolidateLEZsJob, import: true\n\n  setup :verify_on_exit!\n\n  setup do\n    # Using the real implementation for the moment, then it falls back on `HTTPoison.Mock`\n    Mox.stub_with(Datagouvfr.Client.Resources.Mock, Datagouvfr.Client.Resources.External)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"resource type\" do\n    dataset = insert(:dataset, type: \"road-data\")\n    zfe_aire = insert(:resource, dataset: dataset, url: \"https://example.com/aires.geojson\")\n\n    zfe_voies =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://example.com/zfe_voies_speciale_ville.geojson\"\n      )\n\n    assert ConsolidateLEZsJob.type(zfe_aire) == \"aires\"\n    refute ConsolidateLEZsJob.voie?(zfe_aire)\n\n    assert ConsolidateLEZsJob.type(zfe_voies) == \"voies\"\n    assert ConsolidateLEZsJob.voie?(zfe_voies)\n  end\n\n  test \"relevant_resources\" do\n    dataset = insert(:dataset, type: \"road-data\", organization: \"Sample\")\n\n    pan_dataset =\n      insert(:dataset,\n        type: \"road-data\",\n        organization: \"Point d'Accès National transport.data.gouv.fr\",\n        organization_id: \"5abca8d588ee386ee6ece479\"\n      )\n\n    zfe_aire =\n      insert(:resource, dataset: dataset, url: \"https://example.com/aires.geojson\", schema_name: \"etalab/schema-zfe\")\n\n    zfe_voies =\n      insert(:resource, dataset: dataset, url: \"https://example.com/voies.geojson\", schema_name: \"etalab/schema-zfe\")\n\n    _zfe_pan =\n      insert(:resource,\n        dataset: pan_dataset,\n        url: \"https://example.com/aires.geojson\",\n        schema_name: \"etalab/schema-zfe\"\n      )\n\n    assert [zfe_aire.id, zfe_voies.id] == ConsolidateLEZsJob.relevant_resources() |> Enum.map(& &1.id) |> Enum.sort()\n  end\n\n  test \"consolidate_features and consolidate\" do\n    aom = insert(:aom, siren: \"253800825\", nom: \"SMM de l’Aire Grenobloise\", forme_juridique: \"Métropole\")\n    dataset = insert(:dataset, type: \"road-data\", organization: \"Sample\", legal_owners_aom: [aom])\n\n    zfe_aire =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://example.com/aires.geojson\",\n        schema_name: \"etalab/schema-zfe\"\n      )\n\n    zfe_voies =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://example.com/voies.geojson\",\n        schema_name: \"etalab/schema-zfe\"\n      )\n\n    # Should be ignored as this is not the most recent ResourceHistory / MultiValidation\n    old_resource_history_aire =\n      insert(:resource_history,\n        resource_id: zfe_aire.id,\n        payload: %{\n          \"permanent_url\" => \"https://example.com/permanent_url/aires##{Ecto.UUID.generate()}\"\n        }\n      )\n\n    resource_history_aire =\n      insert(:resource_history,\n        resource_id: zfe_aire.id,\n        payload: %{\n          \"permanent_url\" => permanent_url_aires = \"https://example.com/permanent_url/aires\"\n        }\n      )\n\n    # Should be ignored as we will create an invalid MultiValidation linked to it\n    resource_history_aire_invalid =\n      insert(:resource_history,\n        resource_id: zfe_aire.id,\n        payload: %{\n          \"permanent_url\" => \"#{permanent_url_aires}##{Ecto.UUID.generate()}\"\n        }\n      )\n\n    resource_history_voies =\n      insert(:resource_history,\n        resource_id: zfe_voies.id,\n        payload: %{\n          \"permanent_url\" => permanent_url_voies = \"https://example.com/permanent_url/voies\"\n        }\n      )\n\n    insert(:multi_validation, resource_history_id: old_resource_history_aire.id, result: %{\"has_errors\" => false})\n    insert(:multi_validation, resource_history_id: resource_history_aire.id, result: %{\"has_errors\" => false})\n    insert(:multi_validation, resource_history_id: resource_history_aire_invalid.id, result: %{\"has_errors\" => true})\n    insert(:multi_validation, resource_history_id: resource_history_voies.id, result: %{\"has_errors\" => false})\n\n    setup_http_mocks(permanent_url_aires, permanent_url_voies)\n\n    assert %{\n             features: [\n               %{\n                 \"properties\" => %{\"foo\" => \"bar\"},\n                 \"publisher\" => %{\n                   \"forme_juridique\" => \"Métropole\",\n                   \"nom\" => \"SMM de l’Aire Grenobloise\",\n                   \"siren\" => \"253800825\",\n                   \"zfe_id\" => \"GRENOBLE\"\n                 }\n               },\n               %{\n                 \"properties\" => %{\"bar\" => \"baz\"},\n                 \"publisher\" => %{\n                   \"forme_juridique\" => \"Métropole\",\n                   \"nom\" => \"SMM de l’Aire Grenobloise\",\n                   \"siren\" => \"253800825\",\n                   \"zfe_id\" => \"GRENOBLE\"\n                 }\n               }\n             ],\n             type: \"FeatureCollection\"\n           } ==\n             ConsolidateLEZsJob.consolidate_features([zfe_aire, zfe_voies])\n\n    setup_http_mocks(permanent_url_aires, permanent_url_voies)\n\n    assert [\n             {\n               \"aires\",\n               %{\n                 features: [\n                   %{\n                     \"properties\" => %{\"foo\" => \"bar\"},\n                     \"publisher\" => %{\n                       \"forme_juridique\" => \"Métropole\",\n                       \"nom\" => \"SMM de l’Aire Grenobloise\",\n                       \"siren\" => \"253800825\",\n                       \"zfe_id\" => \"GRENOBLE\"\n                     }\n                   }\n                 ],\n                 type: \"FeatureCollection\"\n               }\n             },\n             {\n               \"voies\",\n               %{\n                 features: [\n                   %{\n                     \"properties\" => %{\"bar\" => \"baz\"},\n                     \"publisher\" => %{\n                       \"forme_juridique\" => \"Métropole\",\n                       \"nom\" => \"SMM de l’Aire Grenobloise\",\n                       \"siren\" => \"253800825\",\n                       \"zfe_id\" => \"GRENOBLE\"\n                     }\n                   }\n                 ],\n                 type: \"FeatureCollection\"\n               }\n             }\n           ] == ConsolidateLEZsJob.consolidate()\n  end\n\n  test \"consolidate_features ignores resources without a valid resource history\" do\n    aom = insert(:aom, siren: \"253800825\", nom: \"SMM de l’Aire Grenobloise\", forme_juridique: \"Métropole\")\n    dataset = insert(:dataset, type: \"road-data\", organization: \"Sample\", legal_owners_aom: [aom])\n\n    zfe_aire =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://example.com/aires.geojson\",\n        schema_name: \"etalab/schema-zfe\"\n      )\n\n    zfe_voies =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://example.com/voies.geojson\",\n        schema_name: \"etalab/schema-zfe\"\n      )\n\n    resource_history_aire =\n      insert(:resource_history,\n        resource_id: zfe_aire.id,\n        payload: %{\n          \"permanent_url\" => permanent_url_aires = \"https://example.com/permanent_url/aires\"\n        }\n      )\n\n    # Should be ignored as we will create an invalid MultiValidation linked to it\n    resource_history_voies =\n      insert(:resource_history,\n        resource_id: zfe_voies.id,\n        payload: %{\n          \"permanent_url\" => \"https://example.com/permanent_url/voies\"\n        }\n      )\n\n    insert(:multi_validation, resource_history_id: resource_history_aire.id, result: %{\"has_errors\" => false})\n    insert(:multi_validation, resource_history_id: resource_history_voies.id, result: %{\"has_errors\" => true})\n\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn ^permanent_url_aires, [], follow_redirect: true ->\n      %HTTPoison.Response{status_code: 200, body: ~s({\"features\": [{\"properties\": {\"foo\": \"bar\"}}]})}\n    end)\n\n    assert %{\n             features: [\n               %{\n                 \"properties\" => %{\"foo\" => \"bar\"},\n                 \"publisher\" => %{\n                   \"forme_juridique\" => \"Métropole\",\n                   \"nom\" => \"SMM de l’Aire Grenobloise\",\n                   \"siren\" => \"253800825\",\n                   \"zfe_id\" => \"GRENOBLE\"\n                 }\n               }\n             ],\n             type: \"FeatureCollection\"\n           } ==\n             ConsolidateLEZsJob.consolidate_features([zfe_aire, zfe_voies])\n  end\n\n  describe \"publisher_details\" do\n    test \"with an AOM\" do\n      aom = insert(:aom, siren: \"253800825\", nom: \"SMM de l’Aire Grenobloise\", forme_juridique: \"Métropole\")\n      dataset = insert(:dataset, type: \"road-data\", organization: \"Sample\", legal_owners_aom: [aom])\n\n      zfe_aire =\n        insert(:resource,\n          datagouv_id: Ecto.UUID.generate(),\n          dataset: dataset,\n          url: \"https://example.com/aires.geojson\",\n          schema_name: \"etalab/schema-zfe\"\n        )\n\n      assert %{\n               \"forme_juridique\" => \"Métropole\",\n               \"nom\" => \"SMM de l’Aire Grenobloise\",\n               \"siren\" => \"253800825\",\n               \"zfe_id\" => \"GRENOBLE\"\n             } == ConsolidateLEZsJob.publisher_details(zfe_aire)\n    end\n\n    test \"without an AOM\" do\n      dataset = insert(:dataset, type: \"road-data\", organization: \"Ville de Paris\")\n\n      zfe_aire =\n        insert(:resource,\n          datagouv_id: Ecto.UUID.generate(),\n          dataset: dataset,\n          url: \"https://example.com/aires.geojson\",\n          schema_name: \"etalab/schema-zfe\"\n        )\n\n      assert %{\n               \"forme_juridique\" => \"Autre collectivité territoriale\",\n               \"nom\" => \"Ville de Paris\",\n               \"siren\" => \"217500016\",\n               \"zfe_id\" => \"PARIS\"\n             } == ConsolidateLEZsJob.publisher_details(zfe_aire)\n    end\n\n    test \"using autres_siren\" do\n      dataset = insert(:dataset, type: \"road-data\", organization: \"Toulouse métropole\")\n\n      zfe_aire =\n        insert(:resource,\n          datagouv_id: Ecto.UUID.generate(),\n          dataset: dataset,\n          url: \"https://example.com/aires.geojson\",\n          schema_name: \"etalab/schema-zfe\"\n        )\n\n      assert %{\n               \"forme_juridique\" => \"Métropole\",\n               \"nom\" => \"Toulouse Métropole\",\n               \"siren\" => \"243100518\",\n               \"zfe_id\" => \"TOULOUSE\"\n             } == ConsolidateLEZsJob.publisher_details(zfe_aire)\n    end\n  end\n\n  test \"update_files\" do\n    data = [\n      {\"aires\", %{features: [[\"foo\", \"bar\"]], type: \"FeatureCollection\"}},\n      {\"voies\", %{features: [[\"bar\", \"baz\"]], type: \"FeatureCollection\"}}\n    ]\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :post, url, args, headers, [follow_redirect: true] ->\n      {:multipart, [{:file, path, {\"form-data\", [name: \"file\", filename: \"aires.geojson\"]}, []}]} = args\n      assert String.ends_with?(path, \"aires.geojson\")\n\n      assert url ==\n               \"https://demo.data.gouv.fr/api/1/datasets/zfe_fake_dataset_id/resources/zfe_aires_fake_resource_id/upload/\"\n\n      assert headers == [{\"content-type\", \"multipart/form-data\"}, {\"X-API-KEY\", \"fake-datagouv-api-key\"}]\n      {:ok, %HTTPoison.Response{body: \"\", status_code: 200}}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :post, url, args, headers, [follow_redirect: true] ->\n      {:multipart, [{:file, path, {\"form-data\", [name: \"file\", filename: \"voies.geojson\"]}, []}]} = args\n      assert String.ends_with?(path, \"voies.geojson\")\n\n      assert url ==\n               \"https://demo.data.gouv.fr/api/1/datasets/zfe_fake_dataset_id/resources/zfe_voies_fake_resource_id/upload/\"\n\n      assert headers == [{\"content-type\", \"multipart/form-data\"}, {\"X-API-KEY\", \"fake-datagouv-api-key\"}]\n      {:ok, %HTTPoison.Response{body: \"\", status_code: 200}}\n    end)\n\n    ConsolidateLEZsJob.update_files(data)\n\n    refute File.exists?(ConsolidateLEZsJob.tmp_filepath(\"voies.geojson\"))\n    refute File.exists?(ConsolidateLEZsJob.tmp_filepath(\"aires.geojson\"))\n  end\n\n  test \"perform\" do\n    aom = insert(:aom, siren: \"253800825\")\n    dataset = insert(:dataset, type: \"road-data\", legal_owners_aom: [aom])\n\n    zfe_aire =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://example.com/aires.geojson\",\n        schema_name: \"etalab/schema-zfe\"\n      )\n\n    zfe_voies =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://example.com/voies.geojson\",\n        schema_name: \"etalab/schema-zfe\"\n      )\n\n    resource_history_aire =\n      insert(:resource_history,\n        resource_id: zfe_aire.id,\n        payload: %{\n          \"permanent_url\" => permanent_url_aires = \"https://example.com/permanent_url/aires\"\n        }\n      )\n\n    resource_history_voies =\n      insert(:resource_history,\n        resource_id: zfe_voies.id,\n        payload: %{\n          \"permanent_url\" => permanent_url_voies = \"https://example.com/permanent_url/voies\"\n        }\n      )\n\n    insert(:multi_validation, resource_history_id: resource_history_aire.id, result: %{\"has_errors\" => false})\n    insert(:multi_validation, resource_history_id: resource_history_voies.id, result: %{\"has_errors\" => false})\n\n    setup_http_mocks(permanent_url_aires, permanent_url_voies)\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :post, _url, args, _headers, [follow_redirect: true] ->\n      {:multipart, [{:file, path, {\"form-data\", [name: \"file\", filename: \"aires.geojson\"]}, []}]} = args\n      assert String.ends_with?(path, \"aires.geojson\")\n      {:ok, %HTTPoison.Response{body: \"\", status_code: 200}}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :post, _url, args, _headers, [follow_redirect: true] ->\n      {:multipart, [{:file, path, {\"form-data\", [name: \"file\", filename: \"voies.geojson\"]}, []}]} = args\n      assert String.ends_with?(path, \"voies.geojson\")\n      {:ok, %HTTPoison.Response{body: \"\", status_code: 200}}\n    end)\n\n    assert :ok == perform_job(ConsolidateLEZsJob, %{})\n\n    # When Oban 2.19.0 will be released we should be able to make sure that\n    # a broadcast notification was sent on the `:gossip` channel.\n    # => We need to control the `job_id` when dispatching a job.\n    # https://github.com/oban-bg/oban/commit/fae376232ef44d8405940d3d287ab8fd93912d0a\n  end\n\n  defp setup_http_mocks(url_aires, url_voies) do\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn ^url_aires, [], follow_redirect: true ->\n      %HTTPoison.Response{status_code: 200, body: ~s({\"features\": [{\"properties\": {\"foo\": \"bar\"}}]})}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn ^url_voies, [], follow_redirect: true ->\n      %HTTPoison.Response{status_code: 200, body: ~s({\"features\": [{\"properties\": {\"bar\": \"baz\"}}]})}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/conversions/gtfs_to_geojson_converter_job_test.exs",
    "content": "defmodule Transport.Jobs.GTFSToGeoJSONConverterJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Transport.Jobs.GTFSToGeoJSONConverterJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"GTFS to GeoJSON jobs are enqueued\" do\n    %{id: resource_history_id} =\n      insert(:resource_history,\n        datagouv_id: \"1\",\n        payload: %{\"format\" => \"GTFS\", \"uuid\" => Ecto.UUID.generate()}\n      )\n\n    insert(:resource_history,\n      datagouv_id: \"2\",\n      payload: %{\"format\" => \"NeTEx\", \"uuid\" => Ecto.UUID.generate()}\n    )\n\n    insert(:resource_history, datagouv_id: \"3\", payload: %{})\n\n    # Ignored because it previously had a fatal conversion error\n    insert(:resource_history,\n      datagouv_id: \"4\",\n      payload: %{\"format\" => \"GTFS\", \"uuid\" => Ecto.UUID.generate(), \"conversion_GeoJSON_fatal_error\" => true}\n    )\n\n    # This resource_history should not get enqueued for conversion,\n    # as a matching data_conversion already exists\n    insert(:resource_history,\n      datagouv_id: \"4\",\n      payload: %{\"format\" => \"GTFS\", uuid: uuid = Ecto.UUID.generate()}\n    )\n\n    insert(:data_conversion,\n      convert_from: :GTFS,\n      convert_to: :GeoJSON,\n      converter: DB.DataConversion.converter_to_use(:GTFS, :GeoJSON),\n      resource_history_uuid: uuid,\n      payload: %{}\n    )\n\n    assert :ok = perform_job(GTFSToGeoJSONConverterJob, %{})\n\n    assert [%Oban.Job{args: %{\"resource_history_id\" => ^resource_history_id}}] =\n             all_enqueued()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/conversions/netex_to_geojson_converter_job_test.exs",
    "content": "defmodule Transport.Jobs.NeTExToGeoJSONConverterJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Transport.Jobs.NeTExToGeoJSONConverterJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"NeTEx to GeoJSON jobs are enqueued\" do\n    %{id: resource_history_id} =\n      insert(:resource_history,\n        datagouv_id: \"1\",\n        payload: %{\"format\" => \"NeTEx\", \"uuid\" => Ecto.UUID.generate()}\n      )\n\n    insert(:resource_history,\n      datagouv_id: \"2\",\n      payload: %{\"format\" => \"GTFS\", \"uuid\" => Ecto.UUID.generate()}\n    )\n\n    insert(:resource_history, datagouv_id: \"3\", payload: %{})\n\n    # Ignored because it previously had a fatal conversion error\n    insert(:resource_history,\n      datagouv_id: \"4\",\n      payload: %{\"format\" => \"NeTEx\", \"uuid\" => Ecto.UUID.generate(), \"conversion_GeoJSON_fatal_error\" => true}\n    )\n\n    # This resource_history should not get enqueued for conversion,\n    # as a matching data_conversion already exists\n    insert(:resource_history,\n      datagouv_id: \"4\",\n      payload: %{\"format\" => \"NeTEx\", uuid: uuid = Ecto.UUID.generate()}\n    )\n\n    insert(:data_conversion,\n      convert_from: :NeTEx,\n      convert_to: :GeoJSON,\n      converter: DB.DataConversion.converter_to_use(:NeTEx, :GeoJSON),\n      resource_history_uuid: uuid,\n      payload: %{}\n    )\n\n    assert :ok = perform_job(NeTExToGeoJSONConverterJob, %{})\n\n    assert [%Oban.Job{args: %{\"resource_history_id\" => ^resource_history_id}}] =\n             all_enqueued()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/conversions/single_gtfs_to_geojson_converter_job_test.exs",
    "content": "defmodule Transport.Jobs.SingleGTFSToGeoJSONConverterJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Transport.Jobs.SingleGTFSToGeoJSONConverterJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"a non GTFS resource\" do\n    %{id: resource_history_id} =\n      insert(:resource_history,\n        payload: %{\"format\" => \"NeTEx\"}\n      )\n\n    # no mox expectation set, and the test passes => conversion is properly skipped\n    assert {:cancel, \"Conversion is not needed\"} ==\n             perform_job(SingleGTFSToGeoJSONConverterJob, %{\"resource_history_id\" => resource_history_id})\n  end\n\n  test \"existing conversion\" do\n    uuid = Ecto.UUID.generate()\n\n    insert(:data_conversion,\n      convert_from: :GTFS,\n      convert_to: :GeoJSON,\n      resource_history_uuid: uuid,\n      converter: DB.DataConversion.converter_to_use(:GTFS, :GeoJSON),\n      payload: %{}\n    )\n\n    %{id: resource_history_id} = insert(:resource_history, payload: %{\"uuid\" => uuid, \"format\" => \"GTFS\"})\n\n    # no mox expectation set, and the test passes => conversion is properly skipped\n    assert {:cancel, \"Conversion is not needed\"} ==\n             perform_job(SingleGTFSToGeoJSONConverterJob, %{\"resource_history_id\" => resource_history_id})\n  end\n\n  test \"launch a conversion\" do\n    permanent_url = \"https://resource.fr\"\n    uuid = Ecto.UUID.generate()\n\n    # add a resource history\n    %{id: resource_history_id} =\n      insert(:resource_history,\n        payload: %{\"uuid\" => uuid, \"format\" => \"GTFS\", \"permanent_url\" => permanent_url, \"filename\" => \"fff\"}\n      )\n\n    # mock for the resource download\n    Transport.HTTPoison.Mock\n    |> expect(:get!, 1, fn ^permanent_url ->\n      %{status_code: 200, body: \"this is my GTFS file\"}\n    end)\n\n    # mock for the resource conversion\n    Transport.Rambo.Mock\n    |> expect(:run, 1, fn _binary_path, [\"--input\", _file_path, \"--output\", geojson_file_path], _opts ->\n      File.write!(geojson_file_path, \"this my geojson content\")\n      {:ok, \"this my geojson content\"}\n    end)\n\n    Transport.Test.S3TestUtils.s3_mock_stream_file(\n      start_path: \"conversions/gtfs-to-geojson/\",\n      bucket: \"transport-data-gouv-fr-resource-history-test\"\n    )\n\n    # job succeed\n    assert :ok ==\n             perform_job(SingleGTFSToGeoJSONConverterJob, %{\"resource_history_id\" => resource_history_id})\n\n    # a data_conversion row is recorded ✌️‍\n    assert %DB.DataConversion{payload: %{\"filesize\" => 23, \"filename\" => \"conversions/gtfs-to-geojson/fff.geojson\"}} =\n             DB.Repo.get_by!(DB.DataConversion,\n               convert_from: :GTFS,\n               convert_to: :GeoJSON,\n               converter: DB.DataConversion.converter_to_use(:GTFS, :GeoJSON),\n               resource_history_uuid: uuid\n             )\n\n    Transport.Test.TestUtils.ensure_no_tmp_files!(\"conversion_gtfs_geojson_\")\n  end\n\n  test \"a failing GeoJSON conversion\" do\n    permanent_url = \"https://resource.fr\"\n    uuid = Ecto.UUID.generate()\n\n    # add a resource history\n    %{id: resource_history_id} =\n      resource_history =\n      insert(:resource_history,\n        payload: %{\"uuid\" => uuid, \"format\" => \"GTFS\", \"permanent_url\" => permanent_url, \"filename\" => \"fff\"}\n      )\n\n    # mock for the resource download\n    Transport.HTTPoison.Mock\n    |> expect(:get!, 1, fn ^permanent_url ->\n      %{status_code: 200, body: \"this is my GTFS file\"}\n    end)\n\n    # mock for the failing conversion\n    Transport.Rambo.Mock\n    |> expect(:run, 1, fn _binary_path, [\"--input\", _file_path, \"--output\", _geojson_file_path], _opts ->\n      {:error, \"conversion failed\"}\n    end)\n\n    assert {:cancel, _} = perform_job(SingleGTFSToGeoJSONConverterJob, %{\"resource_history_id\" => resource_history_id})\n\n    # ResourceHistory's payload is updated with the error information\n    expected_payload =\n      Map.merge(resource_history.payload, %{\n        \"conversion_GeoJSON_error\" => \"conversion failed\",\n        \"conversion_GeoJSON_fatal_error\" => true\n      })\n\n    assert %DB.ResourceHistory{payload: ^expected_payload} = DB.Repo.reload!(resource_history)\n\n    # no data_conversion row is recorded\n    assert_raise(Ecto.NoResultsError, fn ->\n      DB.DataConversion\n      |> DB.Repo.get_by!(\n        convert_from: :GTFS,\n        convert_to: :GeoJSON,\n        converter: DB.DataConversion.converter_to_use(:GTFS, :GeoJSON),\n        resource_history_uuid: uuid\n      )\n    end)\n\n    # all temp files have been cleaned\n    Transport.Test.TestUtils.ensure_no_tmp_files!(\"conversion_gtfs_geojson_\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/conversions/single_netex_to_geojson_converter_job_test.exs",
    "content": "defmodule Transport.Jobs.SingleNeTExToGeoJSONConverterJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import ExUnit.CaptureLog\n  import Mox\n  alias Transport.Jobs.SingleNeTExToGeoJSONConverterJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"a non NeTEx resource\" do\n    %{id: resource_history_id} =\n      insert(:resource_history,\n        payload: %{\"format\" => \"GTFS\"}\n      )\n\n    # no mox expectation set, and the test passes => conversion is properly skipped\n    assert {:cancel, \"Conversion is not needed\"} ==\n             perform_job(SingleNeTExToGeoJSONConverterJob, %{\"resource_history_id\" => resource_history_id})\n  end\n\n  test \"existing conversion\" do\n    uuid = Ecto.UUID.generate()\n\n    insert(:data_conversion,\n      convert_from: :NeTEx,\n      convert_to: :GeoJSON,\n      resource_history_uuid: uuid,\n      converter: DB.DataConversion.converter_to_use(:NeTEx, :GeoJSON),\n      payload: %{}\n    )\n\n    %{id: resource_history_id} = insert(:resource_history, payload: %{\"uuid\" => uuid, \"format\" => \"NeTEx\"})\n\n    # no mox expectation set, and the test passes => conversion is properly skipped\n    assert {:cancel, \"Conversion is not needed\"} ==\n             perform_job(SingleNeTExToGeoJSONConverterJob, %{\"resource_history_id\" => resource_history_id})\n  end\n\n  test \"launch a conversion\" do\n    permanent_url = \"https://resource.fr\"\n    uuid = Ecto.UUID.generate()\n\n    # add a resource history\n    %{id: resource_history_id} =\n      insert(:resource_history,\n        payload: %{\"uuid\" => uuid, \"format\" => \"NeTEx\", \"permanent_url\" => permanent_url, \"filename\" => \"fff\"}\n      )\n\n    ZipCreator.with_tmp_zip([{\"data.xml\", \"this is my NeTEx file\"}], fn zip_file ->\n      {:ok, zip_content} = File.read(zip_file)\n\n      # mock for the resource download\n      Transport.HTTPoison.Mock\n      |> expect(:get!, 1, fn ^permanent_url ->\n        %{status_code: 200, body: zip_content}\n      end)\n\n      Transport.Test.S3TestUtils.s3_mock_stream_file(\n        start_path: \"conversions/netex-to-geojson/\",\n        bucket: \"transport-data-gouv-fr-resource-history-test\"\n      )\n\n      # job succeed\n      assert :ok ==\n               perform_job(SingleNeTExToGeoJSONConverterJob, %{\"resource_history_id\" => resource_history_id})\n\n      # a data_conversion row is recorded ✌️‍\n      assert %DB.DataConversion{payload: %{\"filesize\" => 42, \"filename\" => \"conversions/netex-to-geojson/fff.geojson\"}} =\n               DB.Repo.get_by!(DB.DataConversion,\n                 convert_from: :NeTEx,\n                 convert_to: :GeoJSON,\n                 converter: DB.DataConversion.converter_to_use(:NeTEx, :GeoJSON),\n                 resource_history_uuid: uuid\n               )\n\n      Transport.Test.TestUtils.ensure_no_tmp_files!(\"conversion_netex_geojson_\")\n    end)\n  end\n\n  test \"a failing GeoJSON conversion\" do\n    permanent_url = \"https://resource.fr\"\n    uuid = Ecto.UUID.generate()\n\n    # add a resource history\n    %{id: resource_history_id} =\n      resource_history =\n      insert(:resource_history,\n        payload: %{\"uuid\" => uuid, \"format\" => \"NeTEx\", \"permanent_url\" => permanent_url, \"filename\" => \"fff\"}\n      )\n\n    # mock for the resource download\n    Transport.HTTPoison.Mock\n    |> expect(:get!, 1, fn ^permanent_url ->\n      %{status_code: 200, body: \"obviously invalid zip file\"}\n    end)\n\n    logs =\n      capture_log([level: :error], fn ->\n        assert {:cancel, _} =\n                 perform_job(SingleNeTExToGeoJSONConverterJob, %{\"resource_history_id\" => resource_history_id})\n\n        # ResourceHistory's payload is updated with the error information\n        expected_payload =\n          Map.merge(resource_history.payload, %{\n            \"conversion_GeoJSON_error\" => \"Invalid zip file, missing EOCD record\",\n            \"conversion_GeoJSON_fatal_error\" => true\n          })\n\n        assert %DB.ResourceHistory{payload: ^expected_payload} = DB.Repo.reload!(resource_history)\n\n        # no data_conversion row is recorded\n        assert_raise(Ecto.NoResultsError, fn ->\n          DB.DataConversion\n          |> DB.Repo.get_by!(\n            convert_from: :NeTEx,\n            convert_to: :GeoJSON,\n            converter: DB.DataConversion.converter_to_use(:NeTEx, :GeoJSON),\n            resource_history_uuid: uuid\n          )\n        end)\n\n        # all temp files have been cleaned\n        Transport.Test.TestUtils.ensure_no_tmp_files!(\"conversion_netex_geojson_\")\n      end)\n\n    assert logs =~ \"Invalid zip file\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/counter_cache_test.exs",
    "content": "defmodule Transport.Test.Transport.CounterCacheTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"write cache\" do\n    # First resource with everything good\n    %{resource: %{id: resource_id} = resource} =\n      insert_up_to_date_resource_and_friends(modes: [\"rollerblades\", \"bus\"], features: [\"tarifs\"])\n\n    # Second resource with empty modes\n    %{resource: %{id: resource_empty_metadata_id} = resource_empty_metadata} = insert_up_to_date_resource_and_friends()\n    # Third resource has no validation\n    %DB.Resource{id: resource_no_validation_id} =\n      resource_no_validation =\n      insert(:resource, dataset: insert(:dataset), format: \"GTFS\")\n\n    assert resource.counter_cache == %{}\n    assert resource_empty_metadata.counter_cache == %{}\n    assert resource_no_validation.counter_cache == %{}\n\n    Transport.CounterCache.cache_modes_features_on_resources()\n\n    assert %DB.Resource{counter_cache: %{\"gtfs_modes\" => [\"rollerblades\", \"bus\"], \"gtfs_features\" => [\"tarifs\"]}} =\n             DB.Repo.get!(DB.Resource, resource_id)\n\n    assert %DB.Resource{counter_cache: %{\"gtfs_modes\" => []}} = DB.Repo.get!(DB.Resource, resource_empty_metadata_id)\n    assert %DB.Resource{counter_cache: %{}} = DB.Repo.get!(DB.Resource, resource_no_validation_id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/create_tokens_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.CreateTokensJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.CreateTokensJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"enqueues jobs\" do\n    o1 = insert(:organization)\n    %DB.Organization{id: o2_id} = o2 = insert(:organization)\n    insert_token(%{organization_id: o1.id})\n\n    refute DB.Repo.preload(o1, :tokens).tokens |> Enum.empty?()\n    assert DB.Repo.preload(o2, :tokens).tokens |> Enum.empty?()\n\n    assert :ok == perform_job(CreateTokensJob, %{action: \"create_tokens_for_organizations\"})\n\n    assert [\n             %Oban.Job{\n               state: \"available\",\n               worker: \"Transport.Jobs.CreateTokensJob\",\n               args: %{\"organization_id\" => ^o2_id}\n             }\n           ] = all_enqueued()\n  end\n\n  test \"creates a default token for an organization\" do\n    %DB.Contact{id: pan_contact_id} = insert_contact(%{email: \"contact@transport.data.gouv.fr\"})\n    %DB.Organization{id: organization_id} = organization = insert(:organization)\n    c1 = insert_contact(%{organizations: [organization |> Map.from_struct()]})\n    c2 = insert_contact(%{organizations: [organization |> Map.from_struct()]})\n\n    # `c3` already has a default token, we should not try to create\n    # a new one even if they are a member of `organization`.\n    o2 = insert(:organization)\n\n    c3 =\n      insert_contact(%{\n        organizations: [\n          organization |> Map.from_struct(),\n          o2 |> Map.from_struct()\n        ]\n      })\n\n    token = insert_token(%{organization_id: o2.id, contact_id: c3.id})\n    insert(:default_token, %{token: token, contact: c3})\n\n    assert DB.Repo.preload(organization, :tokens).tokens |> Enum.empty?()\n\n    assert :ok == perform_job(CreateTokensJob, %{organization_id: organization.id})\n\n    assert [%DB.Token{id: token_id, organization_id: ^organization_id, contact_id: ^pan_contact_id, name: \"Défaut\"}] =\n             DB.Repo.preload(organization, :tokens).tokens\n\n    assert [%DB.Token{id: ^token_id}] = DB.Repo.preload(c1, :default_tokens).default_tokens\n    assert [%DB.Token{id: ^token_id}] = DB.Repo.preload(c2, :default_tokens).default_tokens\n  end\n\n  test \"set default token for contacts\" do\n    %DB.Organization{id: organization_id} = organization = insert(:organization)\n    c1 = insert_contact(%{organizations: [organization |> Map.from_struct()]})\n\n    # `c2` already has a default token, we should not try to create\n    # a new one.\n    c2 = insert_contact(%{organizations: [organization |> Map.from_struct()]})\n    token = insert_token(%{organization_id: organization.id, contact_id: c2.id})\n    insert(:default_token, %{token: token, contact: c2})\n\n    # c3 is a contact without an organization and should not interfere\n    _c3 = insert_contact()\n\n    assert :ok == perform_job(CreateTokensJob, %{action: \"set_default_token_for_contacts\"})\n\n    assert [%DB.Token{id: token_id, organization_id: ^organization_id}] =\n             DB.Repo.preload(organization, :tokens).tokens\n\n    assert [%DB.Token{id: ^token_id}] = DB.Repo.preload(c1, :default_tokens).default_tokens\n    assert [%DB.Token{id: ^token_id}] = DB.Repo.preload(c2, :default_tokens).default_tokens\n  end\n\n  test \"creates a token for contacts without an organization\" do\n    c1 = insert_contact(%{organizations: []})\n\n    # c2 is a member of an organization, we should not create a token\n    %DB.Organization{} = organization = insert(:organization)\n    _c2 = insert_contact(%{organizations: [organization |> Map.from_struct()]})\n\n    # c3 already has a default token, we should not try to create a new one.\n    c3 = insert_contact(%{organizations: []})\n    token = insert_token(%{organization_id: nil, contact_id: c3.id})\n    insert(:default_token, %{token: token, contact: c3})\n\n    assert :ok == perform_job(CreateTokensJob, %{action: \"create_tokens_for_contacts_without_org\"})\n\n    assert [%DB.Token{id: token_id}] = DB.Repo.preload(c1, :tokens).tokens\n    assert [%DB.Token{id: ^token_id}] = DB.Repo.preload(c1, :default_tokens).default_tokens\n\n    # Executing the job again runs without errors\n    assert :ok == perform_job(CreateTokensJob, %{action: \"create_tokens_for_contacts_without_org\"})\n  end\n\n  describe \"create_token_for_contact\" do\n    test \"no organizations\" do\n      contact = insert_contact(%{organizations: []})\n\n      assert :ok == perform_job(CreateTokensJob, %{action: \"create_token_for_contact\", contact_id: contact.id})\n\n      # Personal token has been created and is set as the default token\n      assert [%DB.Token{id: token_id, name: \"Défaut\"}] = DB.Repo.preload(contact, :tokens).tokens\n      assert [%DB.Token{id: ^token_id}] = DB.Repo.preload(contact, :default_tokens).default_tokens\n    end\n\n    test \"member of an organization\" do\n      organization = insert(:organization)\n      c1 = insert_contact(%{organizations: [organization |> Map.from_struct()]})\n\n      c2 = insert_contact(%{organizations: [organization |> Map.from_struct()]})\n      %DB.Token{id: token_id} = insert_token(%{organization_id: organization.id, contact_id: c2.id})\n\n      assert :ok == perform_job(CreateTokensJob, %{action: \"create_token_for_contact\", contact_id: c1.id})\n\n      # The default token is the one associated to the organization\n      assert [%DB.Token{id: ^token_id}] = DB.Repo.preload(c1, :default_tokens).default_tokens\n    end\n\n    test \"member of an organization without a token\" do\n      %DB.Organization{id: organization_id} = organization = insert(:organization)\n      %DB.Contact{id: contact_id} = c1 = insert_contact(%{organizations: [organization |> Map.from_struct()]})\n\n      assert :ok == perform_job(CreateTokensJob, %{action: \"create_token_for_contact\", contact_id: c1.id})\n\n      # Creates a token for the organization\n      assert [%DB.Token{id: token_id, organization_id: ^organization_id, contact_id: ^contact_id}] =\n               DB.Repo.all(DB.Token)\n\n      # The default token is the one associated to the organization\n      assert [%DB.Token{id: ^token_id}] = DB.Repo.preload(c1, :default_tokens).default_tokens\n    end\n\n    test \"already has a default token\" do\n      contact = insert_contact(%{organizations: []})\n      token = insert_token(%{organization_id: nil, contact_id: contact.id})\n      insert(:default_token, %{token: token, contact: contact})\n\n      assert {:cancel, \"already has a default token\"} ==\n               perform_job(CreateTokensJob, %{action: \"create_token_for_contact\", contact_id: contact.id})\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/custom_logo_conversion_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.CustomLogoConversionJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Transport.Jobs.CustomLogoConversionJob\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"perform\" do\n    %DB.Dataset{datagouv_id: datagouv_id} = dataset = insert(:dataset)\n    remote_path = \"#{Ecto.UUID.generate()}.png\"\n    local_path = Path.join(System.tmp_dir!(), remote_path)\n\n    inserted_at = DateTime.utc_now()\n    inserted_at_unix = DateTime.to_unix(inserted_at)\n    logo_filename = \"#{datagouv_id}.#{inserted_at_unix}.png\"\n    full_logo_filename = \"#{datagouv_id}_full.#{inserted_at_unix}.png\"\n\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn %ExAws.S3.Download{\n                              bucket: \"transport-data-gouv-fr-logos-test\",\n                              path: ^remote_path,\n                              dest: ^local_path,\n                              opts: [],\n                              service: :s3\n                            } ->\n      File.cp!(\"#{__DIR__}/../../fixture/files/logo.png\", local_path)\n      :ok\n    end)\n\n    Transport.ExAWS.Mock\n    |> expect(:request!, 2, fn %ExAws.S3.Upload{\n                                 src: %File.Stream{},\n                                 bucket: \"transport-data-gouv-fr-logos-test\",\n                                 path: path,\n                                 opts: [cache_control: \"public, max-age=604800\", acl: :public_read],\n                                 service: :s3\n                               } ->\n      assert Enum.member?([logo_filename, full_logo_filename], path)\n    end)\n\n    Transport.Test.S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:logos), remote_path)\n\n    assert :ok ==\n             perform_job(\n               CustomLogoConversionJob,\n               %{\"datagouv_id\" => datagouv_id, \"path\" => remote_path},\n               inserted_at: inserted_at\n             )\n\n    refute File.exists?(local_path)\n    expected_logo_url = Transport.S3.permanent_url(:logos, logo_filename)\n    expected_full_logo_url = Transport.S3.permanent_url(:logos, full_logo_filename)\n\n    assert %DB.Dataset{\n             custom_logo: ^expected_logo_url,\n             custom_full_logo: ^expected_full_logo_url,\n             custom_logo_changed_at: custom_logo_changed_at\n           } =\n             DB.Repo.reload!(dataset)\n\n    assert DateTime.diff(custom_logo_changed_at, DateTime.utc_now(), :second) < 3\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/database_backup_replication_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.DatabaseBackupReplicationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import Mox\n  alias Transport.Jobs.DatabaseBackupReplicationJob\n  doctest DatabaseBackupReplicationJob, import: true\n\n  setup :verify_on_exit!\n  @source_bucket_name \"fake_source_bucket_name\"\n  @destination_bucket_name \"fake_destination_bucket_name\"\n\n  test \"test config is up to date\" do\n    assert @source_bucket_name == Application.fetch_env!(:ex_aws, :database_backup_source)[:bucket_name]\n    assert @destination_bucket_name == Application.fetch_env!(:ex_aws, :database_backup_destination)[:bucket_name]\n  end\n\n  test \"check_dump_not_too_large!\" do\n    assert DatabaseBackupReplicationJob.max_size_threshold() == DatabaseBackupReplicationJob.gigabytes(10)\n    DatabaseBackupReplicationJob.check_dump_not_too_large!(%{size: \"1\"})\n\n    oversize = DatabaseBackupReplicationJob.gigabytes(11)\n    assert oversize > DatabaseBackupReplicationJob.max_size_threshold()\n\n    assert_raise RuntimeError, ~r'^Latest database dump is larger than 10 gigabytes', fn ->\n      DatabaseBackupReplicationJob.check_dump_not_too_large!(%{size: oversize |> round() |> to_string()})\n    end\n  end\n\n  test \"check_dump_is_recent_enough!\" do\n    assert DatabaseBackupReplicationJob.recent_enough_threshold() == DatabaseBackupReplicationJob.hours_in_seconds(12)\n\n    recent_datetime =\n      NaiveDateTime.utc_now() |> NaiveDateTime.add(-1 * DatabaseBackupReplicationJob.hours_in_seconds(2), :second)\n\n    DatabaseBackupReplicationJob.check_dump_is_recent_enough!(%{\n      last_modified: recent_datetime |> NaiveDateTime.to_iso8601()\n    })\n\n    too_old =\n      NaiveDateTime.utc_now() |> NaiveDateTime.add(-1 * DatabaseBackupReplicationJob.hours_in_seconds(13), :second)\n\n    assert_raise RuntimeError, ~r'^Latest database dump is not recent enough', fn ->\n      DatabaseBackupReplicationJob.check_dump_is_recent_enough!(%{last_modified: too_old |> NaiveDateTime.to_iso8601()})\n    end\n  end\n\n  test \"latest_dump, latest_dump_for_date and latest_source_dumps\" do\n    # List objects in source bucket\n    Transport.ExAWS.Mock\n    |> expect(:request!, 2, fn operation, config ->\n      assert %ExAws.Operation.S3{\n               body: \"\",\n               bucket: @source_bucket_name,\n               http_method: :get,\n               path: \"/\",\n               resource: \"\",\n               service: :s3\n             } = operation\n\n      assert config_is_source?(config)\n\n      recent_datetime = NaiveDateTime.utc_now() |> NaiveDateTime.add(-60 * 60 * 2, :second)\n      yesterday_datetime = recent_datetime |> NaiveDateTime.add(-1, :day)\n      yesterday_older_datetime = yesterday_datetime |> NaiveDateTime.add(-10, :second)\n\n      %{\n        body: %{\n          contents: [\n            %{last_modified: yesterday_older_datetime |> NaiveDateTime.to_iso8601(), key: \"third\", size: \"50\"},\n            %{last_modified: yesterday_datetime |> NaiveDateTime.to_iso8601(), key: \"second\", size: \"100\"},\n            %{last_modified: recent_datetime |> NaiveDateTime.to_iso8601(), key: \"first\", size: \"200\"}\n          ]\n        }\n      }\n    end)\n\n    dumps = DatabaseBackupReplicationJob.latest_source_dumps(3)\n\n    assert [%{key: \"first\", size: \"200\"}, %{key: \"second\", size: \"100\"}, %{key: \"third\", size: \"50\"}] = dumps\n\n    assert %{key: \"second\"} = DatabaseBackupReplicationJob.latest_dump_for_date(dumps, Date.utc_today() |> Date.add(-1))\n    assert %{key: \"first\"} = DatabaseBackupReplicationJob.latest_dump_for_date(dumps, Date.utc_today())\n\n    assert %{key: \"first\", size: \"200\"} = DatabaseBackupReplicationJob.latest_dump()\n  end\n\n  test \"bucket_name\" do\n    assert DatabaseBackupReplicationJob.bucket_name(:source) == @source_bucket_name\n    assert DatabaseBackupReplicationJob.bucket_name(:destination) == @destination_bucket_name\n  end\n\n  test \"perform\" do\n    latest_dump_filename = Ecto.UUID.generate() <> \".dump\"\n\n    setup_mock_permissions_checks()\n\n    # List objects in source bucket\n    Transport.ExAWS.Mock\n    |> expect(:request!, 2, fn operation, config ->\n      assert %ExAws.Operation.S3{\n               body: \"\",\n               bucket: @source_bucket_name,\n               http_method: :get,\n               path: \"/\",\n               resource: \"\",\n               service: :s3\n             } = operation\n\n      assert config_is_source?(config)\n\n      today_datetime = NaiveDateTime.utc_now() |> NaiveDateTime.add(-60 * 60 * 2, :second)\n      yesterday_datetime = today_datetime |> NaiveDateTime.add(-1, :day)\n\n      %{\n        body: %{\n          contents: [\n            %{last_modified: yesterday_datetime |> NaiveDateTime.to_iso8601(), key: Ecto.UUID.generate(), size: \"195\"},\n            %{last_modified: today_datetime |> NaiveDateTime.to_iso8601(), key: latest_dump_filename, size: \"200\"}\n          ]\n        }\n      }\n    end)\n\n    # Downloading the most recent dump\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn operation, config ->\n      assert %ExAws.S3.Download{bucket: @source_bucket_name, path: ^latest_dump_filename, service: :s3} = operation\n\n      assert config_is_source?(config)\n    end)\n\n    # Uploading the most recent dump\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn operation, config ->\n      assert %ExAws.S3.Upload{\n               bucket: @destination_bucket_name,\n               path: path,\n               service: :s3,\n               opts: [acl: :private, timeout: 90_000],\n               src: %File.Stream{}\n             } = operation\n\n      assert String.starts_with?(path, latest_dump_filename |> String.replace_trailing(\".dump\", \"\"))\n      assert String.ends_with?(path, \".dump\")\n      assert config_is_destination?(config)\n    end)\n\n    assert :ok == perform_job(DatabaseBackupReplicationJob, %{})\n  end\n\n  test \"raises if the latest dump is too small\" do\n    setup_mock_permissions_checks()\n\n    # List objects in source bucket\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn operation, config ->\n      assert %ExAws.Operation.S3{\n               body: \"\",\n               bucket: @source_bucket_name,\n               http_method: :get,\n               path: \"/\",\n               resource: \"\",\n               service: :s3\n             } = operation\n\n      assert config_is_source?(config)\n\n      today_datetime = NaiveDateTime.utc_now() |> NaiveDateTime.add(-60 * 60 * 2, :second)\n      yesterday_datetime = today_datetime |> NaiveDateTime.add(-1, :day)\n      yesterday_older_datetime = yesterday_datetime |> NaiveDateTime.add(-10, :second)\n\n      %{\n        body: %{\n          contents: [\n            %{\n              last_modified: yesterday_older_datetime |> NaiveDateTime.to_iso8601(),\n              key: Ecto.UUID.generate(),\n              size: \"88\"\n            },\n            %{last_modified: yesterday_datetime |> NaiveDateTime.to_iso8601(), key: Ecto.UUID.generate(), size: \"89\"},\n            %{last_modified: today_datetime |> NaiveDateTime.to_iso8601(), key: Ecto.UUID.generate(), size: \"100\"}\n          ]\n        }\n      }\n    end)\n\n    ExUnit.CaptureLog.capture_log(fn ->\n      assert_raise RuntimeError, \"Latest backup size is unexpected. Yesterday: 89, today: 100\", fn ->\n        perform_job(DatabaseBackupReplicationJob, %{})\n      end\n    end)\n  end\n\n  test \"check_appropriate_size!\" do\n    [\n      {100, 91, :ok},\n      {100, 109, :ok},\n      {100, 88, :raise},\n      {100, 112, :raise}\n    ]\n    |> Enum.each(fn {yesterday_size, today_size, expected} ->\n      expect(Transport.ExAWS.Mock, :request!, fn operation, config ->\n        assert %ExAws.Operation.S3{\n                 body: \"\",\n                 bucket: @source_bucket_name,\n                 http_method: :get,\n                 path: \"/\",\n                 resource: \"\",\n                 service: :s3\n               } = operation\n\n        assert config_is_source?(config)\n\n        today_datetime = NaiveDateTime.utc_now() |> NaiveDateTime.add(-60 * 60 * 2, :second)\n        yesterday_datetime = today_datetime |> NaiveDateTime.add(-1, :day)\n\n        %{\n          body: %{\n            contents: [\n              %{\n                last_modified: yesterday_datetime |> NaiveDateTime.to_iso8601(),\n                key: Ecto.UUID.generate(),\n                size: to_string(yesterday_size)\n              },\n              %{\n                last_modified: today_datetime |> NaiveDateTime.to_iso8601(),\n                key: Ecto.UUID.generate(),\n                size: to_string(today_size)\n              }\n            ]\n          }\n        }\n      end)\n\n      case expected do\n        :ok ->\n          DatabaseBackupReplicationJob.check_appropriate_size!()\n\n        :raise ->\n          assert_raise RuntimeError, ~r\"^Latest backup size is unexpected.\", fn ->\n            DatabaseBackupReplicationJob.check_appropriate_size!()\n          end\n      end\n    end)\n  end\n\n  test \"email on failure tag is set\" do\n    expected_tag = Transport.Jobs.ObanLogger.email_on_failure_tag()\n    assert %Ecto.Changeset{params: %{\"tags\" => [^expected_tag]}} = DatabaseBackupReplicationJob.new(%{})\n  end\n\n  defp setup_mock_permissions_checks do\n    # Listing buckets in destination\n    Transport.ExAWS.Mock\n    |> expect(:request!, fn operation, config ->\n      assert %ExAws.Operation.S3{body: \"\", bucket: \"\", http_method: :get, path: \"/\", resource: \"\", service: :s3} =\n               operation\n\n      assert config_is_destination?(config)\n      %{body: %{buckets: []}}\n    end)\n\n    # Listing objects in destination bucket\n    Transport.ExAWS.Mock\n    |> expect(:request, fn operation, config ->\n      assert %ExAws.Operation.S3{\n               body: \"\",\n               bucket: @destination_bucket_name,\n               http_method: :get,\n               path: \"/\",\n               resource: \"\",\n               service: :s3\n             } = operation\n\n      assert config_is_destination?(config)\n      {:error, {:http_error, 403, %{}}}\n    end)\n\n    # Trying to remove an object in destination bucket\n    Transport.ExAWS.Mock\n    |> expect(:request, fn operation, config ->\n      assert %ExAws.Operation.S3{\n               body: \"\",\n               bucket: @destination_bucket_name,\n               http_method: :delete,\n               path: path,\n               resource: \"\",\n               service: :s3\n             } = operation\n\n      refute is_nil(path) or path == \"/\"\n      assert config_is_destination?(config)\n      {:error, {:http_error, 403, %{}}}\n    end)\n  end\n\n  defp config_is_destination?(%{bucket_name: bucket_name}), do: bucket_name == @destination_bucket_name\n  defp config_is_source?(%{bucket_name: bucket_name}), do: bucket_name == @source_bucket_name\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/database_vacuum_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.DatabaseVacuumJobTest do\n  use ExUnit.Case, async: false\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.DatabaseVacuumJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo, sandbox: false)\n    Logger.configure(level: :debug)\n  end\n\n  test \"vacuum full is executed\" do\n    {_, log} =\n      ExUnit.CaptureLog.with_log(fn ->\n        assert :ok == perform_job(DatabaseVacuumJob, %{})\n      end)\n\n    assert log =~ \"VACUUM FULL\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/dataset_history_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.DatasetHistoryJobTest do\n  # The trigger refresh_dataset_geographic_view_trigger makes this test\n  # unreliable in a concurrent setup.\n  use ExUnit.Case, async: false\n  import DB.Factory\n  use Oban.Testing, repo: DB.Repo\n  import Ecto.Query\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"historize a dataset\" do\n    dataset =\n      insert(:dataset,\n        datagouv_id: datagouv_id = Ecto.UUID.generate(),\n        licence: \"love\",\n        type: \"public-transport\",\n        slug: \"the-slug\",\n        custom_tags: [\"foo\"]\n      )\n\n    # a resource with multiple resource history\n    r1 = insert(:resource, dataset_id: dataset.id, url: \"url1\")\n    r1_datagouv_id = r1.datagouv_id\n    insert(:resource_history, resource_id: r1.id)\n    %{id: rh_id_latest} = insert(:resource_history, resource_id: r1.id)\n\n    # a resource with multiple resource metadata and validations\n    r2 = insert(:resource, dataset_id: dataset.id, url: \"url2\")\n    r2_datagouv_id = r2.datagouv_id\n    insert(:resource_metadata, resource_id: r2.id)\n    %{id: rm_id_latest} = insert(:resource_metadata, resource_id: r2.id)\n    insert(:multi_validation, resource_id: r2.id)\n    %{id: rmv_id_latest} = insert(:multi_validation, resource_id: r2.id)\n\n    # another resource with multiple resource metadata and validations\n    r3 = insert(:resource, dataset_id: dataset.id, url: \"url3\")\n    r3_datagouv_id = r3.datagouv_id\n    insert(:resource_metadata, resource_id: r3.id)\n    %{id: rm_id_latest_3} = insert(:resource_metadata, resource_id: r3.id)\n    insert(:multi_validation, resource_id: r3.id)\n    %{id: rmv_id_latest_3} = insert(:multi_validation, resource_id: r3.id)\n\n    # just a resource\n    r4 = insert(:resource, dataset_id: dataset.id, url: \"url4\")\n\n    :ok = perform_job(Transport.Jobs.DatasetHistoryJob, %{\"dataset_id\" => dataset.id})\n\n    [dataset_history] = DB.DatasetHistory |> preload(:dataset_history_resources) |> DB.Repo.all()\n\n    dataset_id = dataset.id\n\n    assert %{\n             dataset_id: ^dataset_id,\n             dataset_datagouv_id: ^datagouv_id,\n             payload: %{\n               \"licence\" => \"love\",\n               \"type\" => \"public-transport\",\n               \"slug\" => \"the-slug\",\n               \"custom_tags\" => [\"foo\"]\n             }\n           } = dataset_history\n\n    dataset_history_resources = dataset_history.dataset_history_resources\n\n    assert Enum.count(dataset_history_resources) == 4\n\n    dhr1 = dataset_history_resources |> Enum.find(&(&1.resource_id == r1.id))\n\n    assert %{\n             resource_history_id: ^rh_id_latest,\n             resource_metadata_id: nil,\n             validation_id: nil,\n             payload: %{\"url\" => \"url1\"},\n             resource_datagouv_id: ^r1_datagouv_id\n           } = dhr1\n\n    dhr2 = dataset_history_resources |> Enum.find(&(&1.resource_id == r2.id))\n\n    assert %{\n             resource_history_id: nil,\n             resource_metadata_id: ^rm_id_latest,\n             validation_id: ^rmv_id_latest,\n             payload: %{\"url\" => \"url2\"},\n             resource_datagouv_id: ^r2_datagouv_id\n           } = dhr2\n\n    dhr3 = dataset_history_resources |> Enum.find(&(&1.resource_id == r3.id))\n\n    assert %{\n             resource_history_id: nil,\n             resource_metadata_id: ^rm_id_latest_3,\n             validation_id: ^rmv_id_latest_3,\n             payload: %{\"url\" => \"url3\"},\n             resource_datagouv_id: ^r3_datagouv_id\n           } = dhr3\n\n    dhr4 = dataset_history_resources |> Enum.find(&(&1.resource_id == r4.id))\n\n    assert %{resource_history_id: nil, resource_metadata_id: nil, validation_id: nil, payload: %{\"url\" => \"url4\"}} =\n             dhr4\n  end\n\n  test \"historize a dataset without resource\" do\n    dataset = insert(:dataset)\n    :ok = perform_job(Transport.Jobs.DatasetHistoryJob, %{\"dataset_id\" => dataset.id})\n  end\n\n  test \"enqueue all dataset history jobs\" do\n    %DB.Dataset{id: active_dataset_id} = insert(:dataset, is_active: true, is_hidden: false)\n    %DB.Dataset{id: hidden_dataset_id} = insert(:dataset, is_active: true, is_hidden: true)\n    %DB.Dataset{id: inactive_dataset_id} = insert(:dataset, is_active: false)\n\n    assert :ok = perform_job(Transport.Jobs.DatasetHistoryDispatcherJob, %{})\n\n    assert_enqueued(worker: Transport.Jobs.DatasetHistoryJob, args: %{\"dataset_id\" => active_dataset_id})\n    assert_enqueued(worker: Transport.Jobs.DatasetHistoryJob, args: %{\"dataset_id\" => hidden_dataset_id})\n    refute_enqueued(worker: Transport.Jobs.DatasetHistoryJob, args: %{\"dataset_id\" => inactive_dataset_id})\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/dataset_now_on_nap_notification_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.DatasetNowOnNAPNotificationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Ecto.Query\n  alias Transport.Jobs.DatasetNowOnNAPNotificationJob\n  import Swoosh.TestAssertions\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"perform\" do\n    %{id: dataset_id} = dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true, custom_title: \"Mon JDD\")\n\n    # We already sent a notification to someone for this dataset, it should be ignored\n    insert_notification(%{\n      dataset: dataset,\n      reason: :dataset_now_on_nap,\n      role: :producer,\n      email: already_sent_email = Ecto.UUID.generate() <> \"@example.fr\"\n    })\n\n    %DB.Contact{id: contact_id, email: email} = contact = insert_contact()\n\n    ~w(resource_unavailable expiration)a\n    |> Enum.each(fn reason ->\n      insert(:notification_subscription, %{\n        reason: reason,\n        source: :admin,\n        role: :producer,\n        contact: contact,\n        dataset: dataset\n      })\n    end)\n\n    # Should be ignored, it's a reuser\n    insert(:notification_subscription, %{\n      reason: :expiration,\n      source: :user,\n      role: :reuser,\n      contact: insert_contact(),\n      dataset: dataset\n    })\n\n    assert :ok == perform_job(DatasetNowOnNAPNotificationJob, %{\"dataset_id\" => dataset_id})\n\n    html_content =\n      ~s(Votre jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">Mon JDD</a> a bien été référencé)\n\n    assert_email_sent(\n      from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n      to: [{DB.Contact.display_name(contact), email}],\n      reply_to: {\"\", \"contact@transport.data.gouv.fr\"},\n      subject: \"Votre jeu de données a été référencé sur transport.data.gouv.fr\",\n      text_body: nil,\n      html_body: ~r/#{html_content}/\n    )\n\n    # Logs have been saved\n    assert [\n             %DB.Notification{\n               reason: :dataset_now_on_nap,\n               role: :producer,\n               dataset_id: ^dataset_id,\n               email: ^already_sent_email,\n               notification_subscription_id: nil\n             },\n             %DB.Notification{\n               reason: :dataset_now_on_nap,\n               role: :producer,\n               dataset_id: ^dataset_id,\n               email: ^email,\n               notification_subscription_id: nil,\n               contact_id: ^contact_id\n             }\n           ] = DB.Notification |> order_by([n], asc: n.inserted_at) |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/dataset_quality_score_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.DatasetQualityScoreTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n\n  import Transport.Jobs.{DatasetAvailabilityScore, DatasetComplianceScore, DatasetFreshnessScore, DatasetQualityScore}\n\n  doctest Transport.Jobs.DatasetQualityScore, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"resource last today metadata\" do\n    test \"there is none\" do\n      resource = insert(:resource)\n\n      insert(:resource_metadata,\n        resource_id: resource.id,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-3, :day)\n      )\n\n      assert resource_last_metadata_from_today(resource.id) == nil\n    end\n\n    test \"there is one\" do\n      resource = insert(:resource)\n      # most recent metadata for today\n      metadata = insert(:resource_metadata, resource_id: resource.id, inserted_at: DateTime.utc_now())\n\n      # metadata for today, but older\n      insert(:resource_metadata,\n        resource_id: resource.id,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-1, :minute)\n      )\n\n      assert resource_last_metadata_from_today(resource.id) == metadata\n    end\n  end\n\n  describe \"resource freshness computation\" do\n    test \"up to date GTFS resource\" do\n      %{resource: resource = %{id: resource_id}, resource_metadata: %{id: metadata_id, inserted_at: inserted_at}} =\n        insert_up_to_date_resource_and_friends()\n\n      assert %{\n               format: \"GTFS\",\n               freshness: 1.0,\n               raw_measure: %{end_date: _, start_date: _},\n               resource_id: ^resource_id,\n               metadata_id: ^metadata_id,\n               metadata_inserted_at: ^inserted_at\n             } = resource_freshness(resource)\n    end\n\n    test \"outdated GTFS resource\" do\n      %{resource: resource} = insert_outdated_resource_and_friends()\n\n      assert %{\n               format: \"GTFS\",\n               freshness: +0.0,\n               raw_measure: %{end_date: _, start_date: _},\n               resource_id: _\n             } = resource_freshness(resource)\n    end\n\n    test \"future GTFS resource\" do\n      # insert a GTFS with validity dates in the future\n      %{resource: resource} = insert_resource_and_friends(Date.utc_today() |> Date.add(365), [])\n\n      assert %{\n               format: \"GTFS\",\n               freshness: nil,\n               raw_measure: %{end_date: _, start_date: _},\n               resource_id: _\n             } = resource_freshness(resource)\n    end\n\n    test \"GTFS resource without metadata\" do\n      resource = insert(:resource, format: \"GTFS\")\n\n      assert %{format: \"GTFS\", freshness: nil, raw_measure: nil, resource_id: _} = resource_freshness(resource)\n    end\n\n    test \"GTFS with empty metadata\" do\n      resource = insert(:resource, format: \"GTFS\")\n      resource_history = insert(:resource_history, resource_id: resource.id)\n\n      validation =\n        insert(:multi_validation,\n          validator: Transport.Validators.GTFSTransport.validator_name(),\n          resource_history_id: resource_history.id\n        )\n\n      insert(:resource_metadata,\n        multi_validation_id: validation.id,\n        metadata: %{\"start_date\" => nil, \"end_date\" => nil}\n      )\n\n      assert %{format: \"GTFS\", freshness: nil, raw_measure: nil, resource_id: _} = resource_freshness(resource)\n    end\n\n    test \"up to date GBFS resource\" do\n      resource = %{id: resource_id} = insert(:resource, format: \"gbfs\")\n\n      %{id: metadata_id, inserted_at: inserted_at} =\n        insert(:resource_metadata,\n          resource_id: resource.id,\n          metadata: %{\"feed_timestamp_delay\" => 10}\n        )\n\n      assert %{\n               format: \"gbfs\",\n               freshness: 1.0,\n               raw_measure: 10,\n               resource_id: ^resource_id,\n               metadata_id: ^metadata_id,\n               metadata_inserted_at: ^inserted_at\n             } = resource_freshness(resource)\n    end\n\n    test \"outdated GBFS resource\" do\n      resource = insert(:resource, format: \"gbfs\")\n\n      insert(:resource_metadata,\n        resource_id: resource.id,\n        metadata: %{\"feed_timestamp_delay\" => 1000}\n      )\n\n      assert %{format: \"gbfs\", freshness: +0.0, raw_measure: 1000, resource_id: _} = resource_freshness(resource)\n    end\n\n    test \"GBFS resource without metadata for today\" do\n      resource = insert(:resource, format: \"gbfs\")\n\n      insert(:resource_metadata,\n        resource_id: resource.id,\n        metadata: %{\"feed_timestamp_delay\" => 0},\n        inserted_at: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      assert %{format: \"gbfs\", freshness: nil, raw_measure: nil, resource_id: _} = resource_freshness(resource)\n    end\n\n    test \"up to date GTFS-RT resource\" do\n      resource = %{id: resource_id} = insert(:resource, format: \"gtfs-rt\")\n\n      %{id: metadata_id, inserted_at: inserted_at} =\n        insert(:resource_metadata,\n          resource_id: resource.id,\n          metadata: %{\"feed_timestamp_delay\" => 10}\n        )\n\n      assert %{\n               format: \"gtfs-rt\",\n               freshness: 1.0,\n               raw_measure: 10,\n               resource_id: ^resource_id,\n               metadata_id: ^metadata_id,\n               metadata_inserted_at: ^inserted_at\n             } = resource_freshness(resource)\n    end\n\n    test \"for a GTFS-Flex\" do\n      resource = insert(:resource, format: \"GTFS\")\n\n      resource_history =\n        insert(:resource_history,\n          resource_id: resource.id,\n          payload: %{\"format\" => \"GTFS\", \"filenames\" => [\"stops.txt\", \"locations.geojson\"]}\n        )\n\n      assert DB.ResourceHistory.gtfs_flex?(resource_history)\n\n      validation =\n        insert(:multi_validation,\n          validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n          resource_history_id: resource_history.id\n        )\n\n      insert(:resource_metadata,\n        multi_validation_id: validation.id,\n        metadata: metadata = %{start_date: Date.utc_today() |> Date.add(-5), end_date: Date.utc_today() |> Date.add(5)}\n      )\n\n      assert %{\n               freshness: 1.0,\n               raw_measure: ^metadata\n             } = resource_freshness(resource)\n    end\n  end\n\n  describe \"resource_availability\" do\n    test \"with no unavailabilites\" do\n      resource = insert(:resource)\n\n      assert %{\n               availability: 1.0,\n               raw_measure: nil,\n               resource_id: resource.id\n             } == resource_availability(resource)\n    end\n\n    test \"with an ongoing unavailability\" do\n      resource = insert(:resource)\n      insert(:resource_unavailability, start: hours_ago(2), resource: resource)\n\n      assert %{\n               availability: +0.0,\n               raw_measure: (22 / 24 * 100) |> Float.floor(1),\n               resource_id: resource.id\n             } == resource_availability(resource)\n    end\n\n    test \"with a past availability\" do\n      resource = insert(:resource)\n      insert(:resource_unavailability, start: hours_ago(48), end: hours_ago(23), resource: resource)\n\n      assert %{\n               availability: 0.5,\n               raw_measure: (23 / 24 * 100) |> Float.floor(1),\n               resource_id: resource.id\n             } == resource_availability(resource)\n    end\n  end\n\n  describe \"current dataset availability\" do\n    test \"2 resources with availability at 100%\" do\n      dataset = insert(:dataset, is_active: true)\n      r1 = insert(:resource, dataset: dataset, is_community_resource: false)\n      r2 = insert(:resource, dataset: dataset, is_community_resource: false)\n\n      assert %{\n               details: %{\n                 resources: [\n                   %{availability: 1.0, raw_measure: nil, resource_id: r1.id},\n                   %{availability: 1.0, raw_measure: nil, resource_id: r2.id}\n                 ]\n               },\n               score: 1.0\n             } == current_dataset_availability(dataset.id)\n    end\n\n    test \"excludes documentation resources to compute the score\" do\n      dataset = insert(:dataset, is_active: true)\n      r1 = insert(:resource, dataset: dataset, is_community_resource: false)\n      r2 = insert(:resource, dataset: dataset, is_community_resource: false, type: \"documentation\")\n\n      assert DB.Resource.documentation?(r2)\n\n      assert %{\n               details: %{\n                 resources: [\n                   %{availability: 1.0, raw_measure: nil, resource_id: r1.id}\n                 ]\n               },\n               score: 1.0\n             } == current_dataset_availability(dataset.id)\n    end\n\n    test \"2 resources, one down for a long time\" do\n      dataset = insert(:dataset, is_active: true)\n      r1 = insert(:resource, dataset: dataset, is_community_resource: false)\n      r2 = insert(:resource, dataset: dataset, is_community_resource: false)\n      insert(:resource_unavailability, resource: r2, start: hours_ago(25))\n\n      assert %{\n               details: %{\n                 resources: [\n                   %{availability: 1.0, raw_measure: nil, resource_id: r1.id},\n                   %{availability: +0.0, raw_measure: 0, resource_id: r2.id}\n                 ]\n               },\n               score: 0.5\n             } == current_dataset_availability(dataset.id)\n    end\n\n    test \"2 resources, one down for a short period\" do\n      dataset = insert(:dataset, is_active: true)\n      r1 = insert(:resource, dataset: dataset, is_community_resource: false)\n      r2 = insert(:resource, dataset: dataset, is_community_resource: false)\n      insert(:resource_unavailability, resource: r2, start: hours_ago(1))\n\n      assert %{\n               details: %{\n                 resources: [\n                   %{availability: 1.0, raw_measure: nil, resource_id: r1.id},\n                   %{availability: 0.5, raw_measure: (23 / 24 * 100) |> Float.floor(1), resource_id: r2.id}\n                 ]\n               },\n               score: 0.75\n             } == current_dataset_availability(dataset.id)\n    end\n\n    test \"an hidden dataset with 0 resources\" do\n      dataset = insert(:dataset, is_active: true, is_hidden: true)\n\n      assert [] == dataset |> DB.Repo.preload(:resources) |> Map.fetch!(:resources)\n\n      assert %{score: +0.0, details: %{resources: []}} == current_dataset_availability(dataset.id)\n    end\n  end\n\n  describe \"current dataset freshness\" do\n    test \"2 resources with freshness\" do\n      # dataset, with 1 GTFS resource\n      %{dataset: dataset, resource: %{id: resource_id}} = insert_up_to_date_resource_and_friends()\n\n      # we add a GTFS realtime resource to the dataset\n      %{id: resource_id_2} = insert(:resource, format: \"gtfs-rt\", dataset_id: dataset.id, is_community_resource: false)\n\n      insert(:resource_metadata,\n        resource_id: resource_id_2,\n        metadata: %{\"feed_timestamp_delay\" => 1000}\n      )\n\n      assert %{score: 0.5, details: %{resources: resources}} = current_dataset_freshness(dataset.id)\n\n      assert [\n               %{\n                 format: \"GTFS\",\n                 freshness: 1.0,\n                 raw_measure: %{end_date: end_date, start_date: start_date},\n                 resource_id: ^resource_id\n               },\n               %{\n                 format: \"gtfs-rt\",\n                 freshness: +0.0,\n                 raw_measure: 1000,\n                 resource_id: ^resource_id_2\n               }\n             ] =\n               resources |> Enum.sort_by(fn %{format: format} -> format end)\n\n      today = Date.utc_today()\n      assert Date.diff(today, start_date) > 0 and Date.diff(end_date, today) > 0\n    end\n\n    test \"2 resources, but only one with freshness\" do\n      # dataset, with 1 outdated GTFS resource\n      %{dataset: dataset, resource: %{id: resource_id}} = insert_outdated_resource_and_friends()\n\n      # we add a GTFS realtime resource to the dataset, but no metadata\n      insert(:resource, format: \"gtfs-rt\", dataset_id: dataset.id, is_community_resource: false)\n\n      # average freshness for only 1 resource with freshness information available\n      assert %{\n               score: +0.0,\n               details: %{\n                 resources: [\n                   %{\n                     format: \"GTFS\",\n                     freshness: +0.0,\n                     raw_measure: %{end_date: _, start_date: _},\n                     resource_id: ^resource_id\n                   },\n                   %{\n                     format: \"gtfs-rt\",\n                     freshness: nil,\n                     raw_measure: nil,\n                     resource_id: _\n                   }\n                 ]\n               }\n             } = current_dataset_freshness(dataset.id)\n    end\n  end\n\n  describe \"current dataset compliance\" do\n    test \"GTFS-RT and documentation resources are ignored, GeoJSON with schema is used\" do\n      dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true)\n\n      geojson_resource =\n        insert(:resource, dataset: dataset, format: \"geojson\", schema_name: \"etalab/#{Ecto.UUID.generate()}\")\n\n      rh_geojson_resource = insert(:resource_history, resource: geojson_resource)\n\n      # A documentation resource, with a ResourceHistory but no validation is ignored\n      insert(:resource_history, resource: insert(:resource, dataset: dataset, format: \"pdf\", type: \"documentation\"))\n\n      # Should be ignored: we don't use the GTFS-RT validator\n      insert(:multi_validation, %{\n        validator: Transport.Validators.GTFSRT.validator_name(),\n        resource: insert(:resource, dataset: dataset, format: \"gtfs-rt\"),\n        max_error: \"ERROR\"\n      })\n\n      insert(:multi_validation, %{\n        resource_history: rh_geojson_resource,\n        validator: Transport.Validators.JSONSchema.validator_name(),\n        result: %{\"has_errors\" => true},\n        inserted_at: DateTime.utc_now() |> DateTime.add(-45, :minute)\n      })\n\n      assert %{\n               score: 0,\n               details: %{\n                 resources: [\n                   %{compliance: +0.0, raw_measure: %{\"has_errors\" => true}, resource_id: geojson_resource.id}\n                 ]\n               }\n             } == current_dataset_compliance(dataset.id)\n    end\n\n    test \"with 2 GTFS: a Fatal and a Warning\" do\n      dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true)\n\n      insert(:multi_validation, %{\n        resource_history:\n          insert(:resource_history, resource: gtfs_1 = insert(:resource, dataset: dataset, format: \"GTFS\")),\n        validator: Transport.Validators.GTFSTransport.validator_name(),\n        max_error: \"Error\"\n      })\n\n      insert(:multi_validation, %{\n        resource_history:\n          insert(:resource_history, resource: gtfs_2 = insert(:resource, dataset: dataset, format: \"GTFS\")),\n        validator: Transport.Validators.GTFSTransport.validator_name(),\n        max_error: \"Warning\"\n      })\n\n      assert %{\n               score: 0.5,\n               details: %{\n                 resources: [\n                   %{compliance: +0.0, raw_measure: %{\"max_error\" => \"Error\"}, resource_id: gtfs_1.id},\n                   %{compliance: 1.0, raw_measure: %{\"max_error\" => \"Warning\"}, resource_id: gtfs_2.id}\n                 ]\n               }\n             } == current_dataset_compliance(dataset.id)\n    end\n\n    test \"with a single GTFS with a Warning\" do\n      dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true)\n\n      insert(:multi_validation, %{\n        resource_history:\n          insert(:resource_history, resource: gtfs = insert(:resource, dataset: dataset, format: \"GTFS\")),\n        validator: Transport.Validators.GTFSTransport.validator_name(),\n        max_error: \"Warning\"\n      })\n\n      assert %{\n               score: 1.0,\n               details: %{\n                 resources: [\n                   %{compliance: 1.0, raw_measure: %{\"max_error\" => \"Warning\"}, resource_id: gtfs.id}\n                 ]\n               }\n             } == current_dataset_compliance(dataset.id)\n    end\n\n    test \"with a single NeTEx resource with an error\" do\n      dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true)\n\n      insert(:multi_validation, %{\n        resource_history:\n          insert(:resource_history, resource: netex = insert(:resource, dataset: dataset, format: \"NeTEx\")),\n        validator: Transport.Validators.NeTEx.Validator.validator_name(),\n        max_error: \"error\"\n      })\n\n      assert %{\n               score: 0,\n               details: %{\n                 resources: [\n                   %{compliance: +0.0, raw_measure: %{\"max_error\" => \"error\"}, resource_id: netex.id}\n                 ]\n               }\n             } == current_dataset_compliance(dataset.id)\n    end\n\n    test \"with a GTFS-Flex\" do\n      dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true)\n\n      insert(:multi_validation, %{\n        resource_history:\n          insert(:resource_history, resource: gtfs = insert(:resource, dataset: dataset, format: \"GTFS\")),\n        validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n        max_error: \"ERROR\"\n      })\n\n      assert %{\n               score: 0.0,\n               details: %{\n                 resources: [\n                   %{compliance: 0.0, raw_measure: %{\"max_error\" => \"ERROR\"}, resource_id: gtfs.id}\n                 ]\n               }\n             } == current_dataset_compliance(dataset.id)\n    end\n\n    test \"handles validation_performed = false with 2 resources\" do\n      dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true)\n      schema_name = \"etalab/#{Ecto.UUID.generate()}\"\n      zip_resource = insert(:resource, dataset: dataset, format: \"zip\", schema_name: schema_name)\n      geojson_resource = insert(:resource, dataset: dataset, format: \"geojson\", schema_name: schema_name)\n\n      insert(:multi_validation, %{\n        resource_history: insert(:resource_history, resource: geojson_resource),\n        validator: Transport.Validators.JSONSchema.validator_name(),\n        result: %{\"has_errors\" => false},\n        inserted_at: DateTime.utc_now() |> DateTime.add(-45, :minute)\n      })\n\n      insert(:multi_validation, %{\n        resource_history: insert(:resource_history, resource: zip_resource),\n        validator: Transport.Validators.JSONSchema.validator_name(),\n        result: %{\"validation_performed\" => false},\n        inserted_at: DateTime.utc_now() |> DateTime.add(-45, :minute)\n      })\n\n      assert %{\n               score: 1.0,\n               details: %{\n                 resources: [\n                   %{compliance: nil, raw_measure: %{\"validation_performed\" => false}, resource_id: zip_resource.id},\n                   %{compliance: 1.0, raw_measure: %{\"has_errors\" => false}, resource_id: geojson_resource.id}\n                 ]\n               }\n             } == current_dataset_compliance(dataset.id)\n    end\n\n    test \"handles validation result = nil, uses the digest\" do\n      dataset = insert(:dataset)\n      geojson_resource = insert(:resource, dataset: dataset, format: \"geojson\")\n\n      insert(:multi_validation, %{\n        resource_history: insert(:resource_history, resource: geojson_resource),\n        validator: Transport.Validators.JSONSchema.validator_name(),\n        result: nil,\n        digest: %{\"errors_count\" => 0}\n      })\n\n      assert %{\n               score: 1.0,\n               details: %{\n                 resources: [\n                   %{compliance: 1.0, raw_measure: %{\"errors_count\" => 0}, resource_id: geojson_resource.id}\n                 ]\n               }\n             } == current_dataset_compliance(dataset.id)\n    end\n  end\n\n  describe \"last_dataset_score\" do\n    test \"fetches the latest non-nil score for yesterday\" do\n      dataset = insert(:dataset, is_active: true)\n      yesterday = DateTime.utc_now() |> DateTime.add(-1, :day)\n      yesterday_after = yesterday |> DateTime.add(5, :second)\n\n      insert(:dataset_score, dataset: dataset, topic: :availability, score: 0.5, timestamp: yesterday)\n      insert(:dataset_score, dataset: dataset, topic: :availability, score: 0.75, timestamp: yesterday_after)\n      insert(:dataset_score, dataset: dataset, topic: :freshness, score: 1.0, timestamp: yesterday)\n      insert(:dataset_score, dataset: dataset, topic: :freshness, score: nil, timestamp: yesterday_after)\n      insert(:dataset_score, dataset: dataset, topic: :compliance, score: 0.8, timestamp: yesterday)\n      insert(:dataset_score, dataset: dataset, topic: :compliance, score: nil, timestamp: yesterday_after)\n\n      assert %DB.DatasetScore{score: 0.75, topic: :availability} = last_dataset_score(dataset.id, :availability)\n      assert %DB.DatasetScore{score: 1.0, topic: :freshness} = last_dataset_score(dataset.id, :freshness)\n      assert %DB.DatasetScore{score: 0.8, topic: :compliance} = last_dataset_score(dataset.id, :compliance)\n    end\n\n    test \"does not use scores if they are more than 7-day old\" do\n      dataset = insert(:dataset, is_active: true)\n      topics = Ecto.Enum.values(DB.DatasetScore, :topic)\n\n      insert(:dataset_score,\n        dataset: dataset,\n        topic: Enum.random(topics),\n        score: 0.5,\n        timestamp: DateTime.utc_now() |> DateTime.add(-8, :day)\n      )\n\n      Enum.each(topics, fn topic ->\n        assert is_nil(last_dataset_score(dataset.id, topic))\n      end)\n    end\n  end\n\n  describe \"save_dataset_score for availability\" do\n    test \"computes availability from yesterday and today\" do\n      dataset = insert(:dataset, is_active: true)\n      r1 = insert(:resource, dataset: dataset, is_community_resource: false)\n\n      # we save an availability score for yesterday\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :availability,\n        score: 0.5,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      # a score for another topic\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :freshness,\n        score: 1.0,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 2\n\n      # expected score is 0.5 * 0.9 + 1. * (1. - 0.9) = 0.55\n      # see exp_smoothing/3 function\n      assert {\n               :ok,\n               %DB.DatasetScore{id: _id, topic: :availability, score: 0.55, timestamp: timestamp, details: details}\n             } = save_dataset_score(dataset.id, :availability)\n\n      assert DateTime.diff(timestamp, DateTime.utc_now(), :second) < 3\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 3\n\n      assert %{\n               previous_score: 0.5,\n               today_score: 1.0,\n               resources: [\n                 %{\n                   availability: 1.0,\n                   resource_id: r1.id,\n                   raw_measure: nil\n                 }\n               ]\n             } == details\n    end\n  end\n\n  describe \"save_dataset_score for compliance\" do\n    test \"computes compliance from yesterday and today\" do\n      dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true)\n\n      insert(:multi_validation, %{\n        resource_history:\n          insert(:resource_history,\n            resource: %DB.Resource{id: gtfs_id} = insert(:resource, dataset: dataset, format: \"GTFS\")\n          ),\n        validator: Transport.Validators.GTFSTransport.validator_name(),\n        max_error: \"Warning\"\n      })\n\n      # we save a compliance score for yesterday\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :compliance,\n        score: 0.5,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      # a score for another topic\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :freshness,\n        score: 1.0,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 2\n\n      # expected score is 0.5 * 0.95 + 1. * (1. - 0.95) = 0.525\n      # see exp_smoothing/3 function\n      assert {\n               :ok,\n               %DB.DatasetScore{\n                 id: _id,\n                 topic: :compliance,\n                 score: 0.525,\n                 timestamp: timestamp,\n                 details: %{\n                   previous_score: 0.5,\n                   today_score: 1.0,\n                   resources: [%{compliance: 1.0, raw_measure: %{\"max_error\" => \"Warning\"}, resource_id: ^gtfs_id}]\n                 }\n               }\n             } = save_dataset_score(dataset.id, :compliance)\n\n      assert DateTime.diff(timestamp, DateTime.utc_now(), :second) < 3\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 3\n    end\n  end\n\n  describe \"save_dataset_score for freshness\" do\n    test \"compute freshness from yesterday and today\" do\n      %{dataset: dataset, resource: %{id: resource_id}, resource_metadata: %{id: metadata_id}} =\n        insert_up_to_date_resource_and_friends()\n\n      # we save a freshness score for yesterday\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :freshness,\n        score: 0.5,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      # another irrelevant score\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :availability,\n        score: 1.0,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 2\n\n      {:ok, score} = save_dataset_score(dataset.id, :freshness)\n\n      # expected score is 0.5 * 0.9 + 1. * (1. - 0.9)\n      # see exp_smoothing/3 function\n      assert %{id: _id, topic: :freshness, score: 0.55, timestamp: timestamp, details: details} = score\n\n      assert DateTime.diff(timestamp, DateTime.utc_now()) < 3\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 3\n\n      assert %{\n               previous_score: 0.5,\n               today_score: 1.0,\n               resources: [\n                 %{\n                   format: \"GTFS\",\n                   freshness: 1.0,\n                   resource_id: ^resource_id,\n                   raw_measure: %{start_date: start_date, end_date: end_date},\n                   metadata_id: ^metadata_id\n                 }\n               ]\n             } = details\n\n      assert Date.diff(Date.utc_today(), start_date) > 0 and Date.diff(end_date, Date.utc_today()) > 0\n    end\n\n    test \"no score yesterday\" do\n      %{dataset: dataset} = insert_up_to_date_resource_and_friends()\n\n      # an irrelevant score\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :availability,\n        score: 1.0,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 1\n\n      {:ok, score} = save_dataset_score(dataset.id, :freshness)\n\n      # expected score is todays's score (no existing history)\n      assert %{\n               id: _id,\n               topic: :freshness,\n               score: 1.0,\n               timestamp: timestamp,\n               details: %{previous_score: nil, today_score: 1.0}\n             } = score\n\n      assert DateTime.diff(timestamp, DateTime.utc_now()) < 3\n\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 2\n    end\n\n    test \"no score at all\" do\n      dataset = insert(:dataset)\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 0\n\n      {:ok, score} = save_dataset_score(dataset.id, :freshness)\n\n      # expected score is nil\n      assert %{\n               id: _id,\n               topic: :freshness,\n               score: nil,\n               timestamp: timestamp,\n               details: %{today_score: nil, previous_score: nil}\n             } = score\n\n      assert DateTime.diff(timestamp, DateTime.utc_now()) < 3\n\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 1\n    end\n\n    test \"new score is computed with last non nil score\" do\n      %{dataset: dataset} = insert_up_to_date_resource_and_friends()\n      # last score is nil\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :freshness,\n        score: nil,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      # but existing score before\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :freshness,\n        score: 0.5,\n        timestamp: DateTime.utc_now() |> DateTime.add(-2, :day)\n      )\n\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 2\n\n      {:ok, score} = save_dataset_score(dataset.id, :freshness)\n\n      # score is computed with today's freshness and last non nil score.\n      assert %{\n               id: _id,\n               topic: :freshness,\n               score: 0.55,\n               timestamp: timestamp,\n               details: %{today_score: 1.0, previous_score: 0.5}\n             } = score\n\n      assert DateTime.diff(timestamp, DateTime.utc_now()) < 3\n\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 3\n    end\n\n    test \"new score is computed with last non nil score, unless it is too old\" do\n      %{dataset: dataset} = insert_up_to_date_resource_and_friends()\n      # old existing score\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :freshness,\n        score: 0.5,\n        timestamp: DateTime.utc_now() |> DateTime.add(-8, :day)\n      )\n\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 1\n\n      {:ok, score} = save_dataset_score(dataset.id, :freshness)\n\n      # score is computed from scratch, previous score is not used\n      assert %{\n               id: _id,\n               topic: :freshness,\n               score: 1.0,\n               timestamp: timestamp,\n               details: %{today_score: 1.0, previous_score: nil}\n             } = score\n\n      assert DateTime.diff(timestamp, DateTime.utc_now()) < 3\n\n      assert DB.DatasetScore |> DB.Repo.all() |> length() == 2\n    end\n\n    test \"last score timestamp is not today\" do\n      # if a score is for some reason computed many times in one day\n      # we don't want to massively change the score\n      %{dataset: dataset} = insert_up_to_date_resource_and_friends()\n\n      # yesterday's score\n      insert(:dataset_score,\n        dataset_id: dataset.id,\n        topic: :freshness,\n        score: 0.5,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      {:ok, score} = save_dataset_score(dataset.id, :freshness)\n      # score is computed with yesterday's score\n      assert %{\n               id: id1,\n               topic: :freshness,\n               score: 0.55,\n               timestamp: _timestamp,\n               details: %{today_score: 1.0, previous_score: 0.5}\n             } = score\n\n      # we force refresh the score computation\n      # it should use yesterday's score again\n      {:ok, score} = save_dataset_score(dataset.id, :freshness)\n\n      assert %{\n               id: id2,\n               topic: :freshness,\n               score: 0.55,\n               timestamp: _timestamp,\n               details: %{today_score: 1.0, previous_score: 0.5}\n             } = score\n\n      assert id2 > id1\n    end\n\n    test \"dataset without scorable resource\" do\n      dataset = insert(:dataset, is_active: true)\n      %{id: resource_id} = insert(:resource, dataset_id: dataset.id, format: \"csv\", is_community_resource: false)\n\n      {:ok, score} = save_dataset_score(dataset.id, :freshness)\n\n      assert %{\n               topic: :freshness,\n               score: nil,\n               details: %{\n                 previous_score: nil,\n                 today_score: nil,\n                 resources: [%{resource_id: ^resource_id, format: \"csv\", freshness: nil}]\n               }\n             } = score\n    end\n\n    test \"last score is not nil and current's score is nil\" do\n      %DB.Dataset{id: dataset_id} = insert(:dataset, is_active: true)\n      topic = :freshness\n\n      insert(:dataset_score,\n        dataset_id: dataset_id,\n        topic: topic,\n        score: 0.5,\n        timestamp: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      assert %DB.DatasetScore{dataset_id: ^dataset_id, score: 0.5, topic: ^topic} =\n               last_dataset_score(dataset_id, topic)\n\n      assert %{details: %{resources: []}, score: nil} == current_dataset_freshness(dataset_id)\n\n      assert {:ok,\n              %DB.DatasetScore{\n                dataset_id: ^dataset_id,\n                score: nil,\n                topic: ^topic,\n                details: %{previous_score: 0.5, today_score: nil, resources: []}\n              }} = save_dataset_score(dataset_id, topic)\n    end\n  end\n\n  test \"resource_ids_with_unavailabilities\" do\n    r1 = insert(:resource)\n    r2 = insert(:resource)\n    r3 = insert(:resource)\n    insert(:resource_unavailability, resource: r1, start: hours_ago(5))\n    insert(:resource_unavailability, resource: r2, start: hours_ago(48), end: hours_ago(30))\n    insert(:resource_unavailability, resource: r3, start: hours_ago(5), end: hours_ago(2))\n    insert(:resource_unavailability, resource: r3, start: hours_ago(30), end: hours_ago(10))\n\n    assert [r1.id, r3.id] |> Enum.sort() == resource_ids_with_unavailabilities() |> Enum.sort()\n  end\n\n  describe \"DatasetQualityScore\" do\n    test \"job saves multiple topics for a dataset\" do\n      assert DB.DatasetScore |> DB.Repo.all() |> Enum.empty?()\n\n      %{dataset: %DB.Dataset{id: dataset_id} = dataset, resource: %DB.Resource{id: resource_id}} =\n        insert_up_to_date_resource_and_friends()\n\n      assert :ok == perform_job(Transport.Jobs.DatasetQualityScore, %{\"dataset_id\" => dataset.id})\n\n      assert [\n               %DB.DatasetScore{\n                 dataset_id: ^dataset_id,\n                 topic: :freshness,\n                 score: 1.0,\n                 details: %{\n                   \"previous_score\" => nil,\n                   \"today_score\" => 1.0,\n                   \"resources\" => [\n                     %{\n                       \"format\" => \"GTFS\",\n                       \"freshness\" => 1.0,\n                       \"raw_measure\" => %{\"end_date\" => _, \"start_date\" => _},\n                       \"resource_id\" => ^resource_id\n                     }\n                   ]\n                 }\n               },\n               %DB.DatasetScore{\n                 dataset_id: ^dataset_id,\n                 topic: :availability,\n                 score: 1.0,\n                 details: %{\n                   \"previous_score\" => nil,\n                   \"today_score\" => 1.0,\n                   \"resources\" => [%{\"availability\" => 1.0, \"raw_measure\" => nil, \"resource_id\" => ^resource_id}]\n                 }\n               },\n               %DB.DatasetScore{\n                 dataset_id: ^dataset_id,\n                 topic: :compliance,\n                 score: 1.0,\n                 details: %{\n                   \"previous_score\" => nil,\n                   \"today_score\" => 1.0,\n                   \"resources\" => [\n                     %{\"compliance\" => 1.0, \"raw_measure\" => %{\"max_error\" => \"NoError\"}, \"resource_id\" => ^resource_id}\n                   ]\n                 }\n               }\n             ] = DB.DatasetScore |> DB.Repo.all()\n    end\n  end\n\n  describe \"DatasetQualityScoreDispatcher\" do\n    test \"jobs are enqueued\" do\n      active_dataset = insert(:dataset, is_active: true, is_hidden: false)\n      hidden_dataset = insert(:dataset, is_active: true, is_hidden: true)\n      inactive_dataset = insert(:dataset, is_active: false)\n\n      assert :ok == perform_job(Transport.Jobs.DatasetQualityScoreDispatcher, %{})\n\n      assert_enqueued(\n        worker: Transport.Jobs.DatasetQualityScore,\n        args: %{\"dataset_id\" => active_dataset.id}\n      )\n\n      assert_enqueued(\n        worker: Transport.Jobs.DatasetQualityScore,\n        args: %{\"dataset_id\" => hidden_dataset.id}\n      )\n\n      refute_enqueued(\n        worker: Transport.Jobs.DatasetQualityScore,\n        args: %{\"dataset_id\" => inactive_dataset.id}\n      )\n    end\n  end\n\n  defp hours_ago(hours) when hours > 0 do\n    DateTime.utc_now() |> DateTime.add(-hours, :hour) |> DateTime.truncate(:second)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/datasets_climate_resilience_bill_not_lo_licence_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.DatasetsClimateResilienceBillNotLOLicenceJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.DatasetsClimateResilienceBillNotLOLicenceJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"perform\" do\n    dataset =\n      insert(:dataset,\n        is_active: true,\n        custom_tags: [\"foo\", \"loi-climat-resilience\"],\n        licence: \"odc-odbl\",\n        custom_title: \"Bar\"\n      )\n\n    lo_dataset = insert(:dataset, is_active: true, custom_tags: [\"foo\", \"loi-climat-resilience\"], licence: \"fr-lo\")\n\n    assert :ok == perform_job(DatasetsClimateResilienceBillNotLOLicenceJob, %{})\n\n    assert_email_sent(\n      from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n      to: \"contact@transport.data.gouv.fr\",\n      subject: \"Jeux de données article 122 avec licence inappropriée\",\n      text_body: nil,\n      html_body:\n        ~r(Les jeux de données suivants sont soumis à une obligation de réutilisation en vertu de l'article 122 de la loi climat et résilience mais ne sont plus publiés avec une licence ouverte)\n    )\n\n    assert [\n             %DB.Dataset{custom_tags: [\"foo\"], licence: \"odc-odbl\"},\n             %DB.Dataset{custom_tags: [\"foo\", \"loi-climat-resilience\"], licence: \"fr-lo\"}\n           ] = DB.Repo.reload!([dataset, lo_dataset])\n  end\n\n  test \"does not send an email if there are no datasets to handle\" do\n    insert(:dataset, is_active: true, custom_tags: [\"loi-climat-resilience\"], licence: \"fr-lo\")\n    assert :ok == perform_job(DatasetsClimateResilienceBillNotLOLicenceJob, %{})\n    # No e-mails have been sent\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/datasets_switching_climate_resilience_bill_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.DatasetsSwitchingClimateResilienceBillJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.DatasetsSwitchingClimateResilienceBillJob\n\n  doctest DatasetsSwitchingClimateResilienceBillJob, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"datasets_custom_tags_changes, datasets_previously_climate_resilience_bill and datasets_now_climate_resilience_bill\" do\n    %{id: d1_id} = d1 = insert(:dataset)\n    %{id: d2_id} = d2 = insert(:dataset)\n    d3 = insert(:dataset)\n\n    # d1 now has the `loi-climat-resilience` tag\n    insert(:dataset_history,\n      dataset: d1,\n      inserted_at: ~U[2023-04-20 14:30:00.000Z],\n      payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}\n    )\n\n    insert(:dataset_history,\n      dataset: d1,\n      inserted_at: ~U[2023-04-13 14:30:00.000Z],\n      payload: %{\"custom_tags\" => [\"foo\"]}\n    )\n\n    # d2 had the `loi-climat-resilience` tag\n    insert(:dataset_history,\n      dataset: d2,\n      inserted_at: ~U[2023-04-20 14:30:00.000Z],\n      payload: %{\"custom_tags\" => [\"foo\"]}\n    )\n\n    insert(:dataset_history,\n      dataset: d2,\n      inserted_at: ~U[2023-04-13 14:30:00.000Z],\n      payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}\n    )\n\n    # d3 kept the `loi-climat-resilience` tag\n    insert(:dataset_history,\n      dataset: d3,\n      inserted_at: ~U[2023-04-20 14:30:00.000Z],\n      payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}\n    )\n\n    insert(:dataset_history,\n      dataset: d3,\n      inserted_at: ~U[2023-04-13 14:30:00.000Z],\n      payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}\n    )\n\n    assert [\n             [\n               %DB.DatasetHistory{dataset_id: ^d1_id, payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}},\n               %DB.Dataset{id: ^d1_id},\n               %DB.DatasetHistory{dataset_id: ^d1_id, payload: %{\"custom_tags\" => [\"foo\"]}}\n             ],\n             [\n               %DB.DatasetHistory{dataset_id: ^d2_id, payload: %{\"custom_tags\" => [\"foo\"]}},\n               %DB.Dataset{id: ^d2_id},\n               %DB.DatasetHistory{dataset_id: ^d2_id, payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}}\n             ]\n           ] = changes = DatasetsSwitchingClimateResilienceBillJob.datasets_custom_tags_changes(~D[2023-04-20])\n\n    assert [\n             [\n               %DB.DatasetHistory{dataset_id: ^d1_id, payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}},\n               %DB.Dataset{id: ^d1_id},\n               %DB.DatasetHistory{dataset_id: ^d1_id, payload: %{\"custom_tags\" => [\"foo\"]}}\n             ]\n           ] = DatasetsSwitchingClimateResilienceBillJob.datasets_now_climate_resilience_bill(changes)\n\n    assert [\n             [\n               %DB.DatasetHistory{dataset_id: ^d2_id, payload: %{\"custom_tags\" => [\"foo\"]}},\n               %DB.Dataset{id: ^d2_id},\n               %DB.DatasetHistory{dataset_id: ^d2_id, payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}}\n             ]\n           ] = DatasetsSwitchingClimateResilienceBillJob.datasets_previously_climate_resilience_bill(changes)\n  end\n\n  test \"perform\" do\n    %{id: d1_id} = d1 = insert(:dataset, type: \"public-transit\", custom_title: \"FooBar\")\n    %{id: d2_id} = d2 = insert(:dataset, type: \"public-transit\", custom_title: \"BarBaz\")\n\n    # d1 now has the `loi-climat-resilience` tag\n    insert(:dataset_history,\n      dataset: d1,\n      inserted_at: ~U[2023-04-20 14:30:00.000Z],\n      payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}\n    )\n\n    insert(:dataset_history,\n      dataset: d1,\n      inserted_at: ~U[2023-04-13 14:30:00.000Z],\n      payload: %{\"custom_tags\" => [\"foo\"]}\n    )\n\n    # d2 had the `loi-climat-resilience` tag\n    insert(:dataset_history,\n      dataset: d2,\n      inserted_at: ~U[2023-04-20 14:30:00.000Z],\n      payload: %{\"custom_tags\" => [\"foo\"]}\n    )\n\n    insert(:dataset_history,\n      dataset: d2,\n      inserted_at: ~U[2023-04-13 14:30:00.000Z],\n      payload: %{\"custom_tags\" => [\"loi-climat-resilience\"]}\n    )\n\n    %DB.Contact{id: contact_id, email: email} = contact = insert_contact()\n\n    %DB.NotificationSubscription{id: ns_id} =\n      insert(:notification_subscription, %{\n        reason: :datasets_switching_climate_resilience_bill,\n        source: :admin,\n        role: :reuser,\n        contact_id: contact_id\n      })\n\n    assert :ok == perform_job(DatasetsSwitchingClimateResilienceBillJob, %{}, inserted_at: ~U[2023-04-21 06:00:00.000Z])\n\n    display_name = DB.Contact.display_name(contact)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{^display_name, ^email}],\n                           reply_to: {\"\", \"contact@transport.data.gouv.fr\"},\n                           subject: \"Loi climat et résilience : suivi des jeux de données\",\n                           text_body: nil,\n                           html_body: html_body\n                         } ->\n      assert html_body =~\n               ~s(Les jeux de données suivants feront l’objet d’une intégration obligatoire :\\n\\n<a href=\"http://127.0.0.1:5100/datasets/#{d1.slug}\">#{d1.custom_title}</a>)\n\n      assert html_body =~\n               ~s(Les jeux de données suivants faisaient l’objet d’une intégration obligatoire et ne font plus l’objet de cette obligation :\\n\\n<a href=\"http://127.0.0.1:5100/datasets/#{d2.slug}\">#{d2.custom_title}</a>)\n    end)\n\n    # Logs have been saved\n    assert [\n             %DB.Notification{\n               contact_id: ^contact_id,\n               email: ^email,\n               reason: :datasets_switching_climate_resilience_bill,\n               dataset_id: nil,\n               notification_subscription_id: ^ns_id,\n               payload: %{\n                 \"dataset_ids\" => dataset_ids,\n                 \"datasets_previously_climate_resilience_ids\" => [^d2_id],\n                 \"datasets_now_climate_resilience_ids\" => [^d1_id]\n               }\n             }\n           ] = DB.Notification |> DB.Repo.all() |> Enum.sort_by(& &1.dataset_id)\n\n    assert MapSet.new(dataset_ids) == MapSet.new([d1_id, d2_id])\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/datasets_without_gtfs_rt_related_resources_notification_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.DatasetsWithoutGTFSRTRelatedResourcesNotificationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.DatasetsWithoutGTFSRTRelatedResourcesNotificationJob\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"relevant_datasets\" do\n    # 2 GTFS and 2 GTFS-RT with resource_related set for all GTFS-RT\n    %{dataset: %DB.Dataset{id: d1_id} = d1, resource: %DB.Resource{format: \"GTFS\"} = gtfs_1_1} =\n      insert_up_to_date_resource_and_friends()\n\n    insert_up_to_date_resource_and_friends(dataset: d1)\n    gtfs_rt_1 = insert(:resource, dataset_id: d1_id, is_community_resource: false, format: \"gtfs-rt\")\n    gtfs_rt_2 = insert(:resource, dataset_id: d1_id, is_community_resource: false, format: \"gtfs-rt\")\n\n    insert(:resource_related, resource_src: gtfs_rt_1, resource_dst: gtfs_1_1, reason: :gtfs_rt_gtfs)\n    insert(:resource_related, resource_src: gtfs_rt_2, resource_dst: gtfs_1_1, reason: :gtfs_rt_gtfs)\n\n    # 1 GTFS and 1 GTFS-RT\n    %{dataset: %DB.Dataset{id: d2_id}, resource: %DB.Resource{format: \"GTFS\"}} =\n      insert_up_to_date_resource_and_friends()\n\n    insert(:resource, dataset_id: d2_id, is_community_resource: false, format: \"gtfs-rt\")\n\n    # 1 up-to-date GTFS, 1 outdated GTFS and 1 GTFS-RT\n    %{dataset: %DB.Dataset{id: d3_id} = d3, resource: %DB.Resource{format: \"GTFS\"}} =\n      insert_up_to_date_resource_and_friends()\n\n    insert_outdated_resource_and_friends(dataset: d3)\n    insert(:resource, dataset_id: d3_id, is_community_resource: false, format: \"gtfs-rt\")\n\n    # 2 GTFS and 1 GTFS-RT, without resource_related set\n    %{dataset: %DB.Dataset{id: d4_id} = d4, resource: %DB.Resource{format: \"GTFS\"}} =\n      insert_up_to_date_resource_and_friends()\n\n    insert_up_to_date_resource_and_friends(dataset: d4)\n    insert(:resource, dataset_id: d4_id, is_community_resource: false, format: \"gtfs-rt\")\n\n    assert [%DB.Dataset{id: ^d4_id}] =\n             DatasetsWithoutGTFSRTRelatedResourcesNotificationJob.relevant_datasets() |> Enum.sort()\n  end\n\n  test \"perform\" do\n    %{dataset: %DB.Dataset{id: dataset_id, slug: slug} = dataset, resource: %DB.Resource{format: \"GTFS\"}} =\n      insert_up_to_date_resource_and_friends(custom_title: \"Super JDD\")\n\n    insert_up_to_date_resource_and_friends(dataset: dataset)\n    insert(:resource, dataset: dataset, is_community_resource: false, format: \"gtfs-rt\")\n\n    assert [%DB.Dataset{id: ^dataset_id}] = DatasetsWithoutGTFSRTRelatedResourcesNotificationJob.relevant_datasets()\n\n    assert :ok == perform_job(DatasetsWithoutGTFSRTRelatedResourcesNotificationJob, %{})\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{\"\", \"contact@transport.data.gouv.fr\"}],\n                           reply_to: {\"\", \"contact@transport.data.gouv.fr\"},\n                           subject: \"Jeux de données GTFS-RT sans ressources liées\",\n                           text_body: nil,\n                           html_body: html_body\n                         } ->\n      assert html_body =~ ~r/des liens entre les ressources GTFS-RT et GTFS sont manquants/\n      assert html_body =~ ~r|<a href=\"http://127.0.0.1:5100/datasets/#{slug}\">Super JDD</a>|\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/dedupe_history_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.DedupeHistoryJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Ecto.Query\n  import Mox\n  alias DB.{Repo, ResourceHistory}\n  alias Transport.Jobs.{DedupeHistoryDispatcherJob, DedupeHistoryJob}\n  alias Transport.Test.S3TestUtils\n\n  setup :verify_on_exit!\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  @datagouv_id \"foo\"\n\n  describe \"DedupeHistoryDispatcherJob\" do\n    test \"it works\" do\n      insert(:resource_history, payload: %{}, datagouv_id: \"foo\")\n      insert(:resource_history, payload: %{}, datagouv_id: \"foo\")\n      insert(:resource_history, payload: %{}, datagouv_id: \"bar\")\n\n      assert :ok == perform_job(DedupeHistoryDispatcherJob, %{})\n\n      assert [\n               %Oban.Job{args: %{\"datagouv_id\" => \"foo\"}},\n               %Oban.Job{args: %{\"datagouv_id\" => \"bar\"}}\n             ] = all_enqueued(worker: DedupeHistoryJob)\n    end\n  end\n\n  describe \"same?\" do\n    test \"same objects\" do\n      assert DedupeHistoryJob.same?(resource_history_with_shas([\"a\", \"b\"]), resource_history_with_shas([\"b\", \"a\"]))\n    end\n\n    test \"different objects\" do\n      refute DedupeHistoryJob.same?(resource_history_with_shas([\"a\"]), resource_history_with_shas([\"b\"]))\n\n      refute DedupeHistoryJob.same?(resource_history_with_shas([\"a\"]), resource_history_with_shas([\"a\", \"b\"]))\n    end\n  end\n\n  describe \"DedupeHistoryJob\" do\n    test \"does nothing\" do\n      insert_resource_history_with_shas([\"a\"], ~U[2020-11-17 10:28:05Z])\n      insert_resource_history_with_shas([\"b\"], ~U[2020-11-18 10:28:05Z])\n\n      assert 2 == count_resource_history()\n\n      perform_job(DedupeHistoryJob, %{\"datagouv_id\" => @datagouv_id})\n\n      assert 2 == count_resource_history()\n    end\n\n    test \"does nothing when content hashes are different\" do\n      insert_resource_history_with_content_hash(\"a\", ~U[2020-11-17 10:28:05Z])\n      insert_resource_history_with_content_hash(\"b\", ~U[2020-11-18 10:28:05Z])\n\n      assert 2 == count_resource_history()\n\n      perform_job(DedupeHistoryJob, %{\"datagouv_id\" => @datagouv_id})\n\n      assert 2 == count_resource_history()\n    end\n\n    test \"removes duplicates for shas\" do\n      insert_resource_history_with_shas([\"a\"], ~U[2020-11-17 10:28:05Z])\n      to_remove1 = insert_resource_history_with_shas([\"a\"], ~U[2020-11-18 10:28:05Z])\n      insert_resource_history_with_shas([\"b\"], ~U[2020-11-18 10:28:05Z])\n      insert_resource_history_with_shas([\"c\"], ~U[2020-11-19 10:28:05Z])\n      to_remove2 = insert_resource_history_with_shas([\"c\"], ~U[2020-11-20 10:28:05Z])\n      insert_resource_history_with_shas([\"d\"], ~U[2020-11-21 10:28:05Z])\n\n      S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:history), to_remove1.payload[\"filename\"])\n      S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:history), to_remove2.payload[\"filename\"])\n\n      assert 6 == count_resource_history()\n\n      perform_job(DedupeHistoryJob, %{\"datagouv_id\" => @datagouv_id})\n\n      assert 4 == count_resource_history()\n      assert is_nil(Repo.get(ResourceHistory, to_remove1.id))\n      assert is_nil(Repo.get(ResourceHistory, to_remove2.id))\n    end\n\n    test \"removes duplicates for content hashes\" do\n      insert_resource_history_with_content_hash(\"a\", ~U[2020-11-17 10:28:05Z])\n      to_remove1 = insert_resource_history_with_content_hash(\"a\", ~U[2020-11-18 10:28:05Z])\n      insert_resource_history_with_content_hash(\"b\", ~U[2020-11-18 10:28:05Z])\n      insert_resource_history_with_content_hash(\"c\", ~U[2020-11-19 10:28:05Z])\n      to_remove2 = insert_resource_history_with_content_hash(\"c\", ~U[2020-11-20 10:28:05Z])\n      insert_resource_history_with_content_hash(\"d\", ~U[2020-11-21 10:28:05Z])\n\n      S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:history), to_remove1.payload[\"filename\"])\n      S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:history), to_remove2.payload[\"filename\"])\n\n      assert 6 == count_resource_history()\n\n      perform_job(DedupeHistoryJob, %{\"datagouv_id\" => @datagouv_id})\n\n      assert 4 == count_resource_history()\n      assert is_nil(Repo.get(ResourceHistory, to_remove1.id))\n      assert is_nil(Repo.get(ResourceHistory, to_remove2.id))\n    end\n\n    test \"scopes by datagouv_id\" do\n      insert_resource_history_with_shas([\"a\"], ~U[2020-11-18 10:28:05Z], \"foo\")\n      insert_resource_history_with_shas([\"a\"], ~U[2020-11-19 10:28:05Z], \"bar\")\n\n      assert 2 == count_resource_history()\n\n      perform_job(DedupeHistoryJob, %{\"datagouv_id\" => \"foo\"})\n      perform_job(DedupeHistoryJob, %{\"datagouv_id\" => \"bar\"})\n\n      assert 2 == count_resource_history()\n    end\n  end\n\n  defp insert_resource_history_with_content_hash(content_hash, inserted_at, datagouv_id \\\\ nil)\n       when is_binary(content_hash) do\n    insert(:resource_history,\n      payload: %{\"content_hash\" => content_hash, \"filename\" => \"#{inserted_at}.csv\"},\n      inserted_at: inserted_at,\n      datagouv_id: datagouv_id || @datagouv_id\n    )\n  end\n\n  defp insert_resource_history_with_shas(shas, inserted_at, datagouv_id \\\\ nil) when is_list(shas) do\n    insert(:resource_history,\n      payload: %{\"zip_metadata\" => shas |> Enum.map(&%{\"sha256\" => &1}), \"filename\" => \"#{inserted_at}.zip\"},\n      inserted_at: inserted_at,\n      datagouv_id: datagouv_id || @datagouv_id\n    )\n  end\n\n  defp resource_history_with_shas(shas) do\n    %ResourceHistory{payload: %{\"zip_metadata\" => shas |> Enum.map(&%{\"sha256\" => &1})}}\n  end\n\n  defp count_resource_history do\n    Repo.one!(from(r in ResourceHistory, select: count()))\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/default_token_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.DefaultTokensJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.DefaultTokensJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"enqueues jobs\" do\n    %DB.Organization{id: organization_id} = organization = insert(:organization)\n    o2 = insert(:organization)\n\n    %DB.Contact{id: c1_id} =\n      insert_contact(%{\n        organizations: [organization |> Map.from_struct()]\n      })\n\n    c2 =\n      insert_contact(%{\n        organizations: [o2 |> Map.from_struct()]\n      })\n\n    insert_token(%{organization_id: organization.id})\n\n    # 2 tokens for the same org, should not be enqueued\n    t2 = insert_token()\n    insert_token(%{organization_id: t2.organization_id, name: \"other\"})\n\n    # c2 already has a default token\n    t4 = insert_token(%{organization_id: o2.id})\n    insert(:default_token, %{token: t4, contact: c2})\n\n    assert :ok == perform_job(DefaultTokensJob, %{})\n\n    assert [\n             %Oban.Job{\n               state: \"available\",\n               worker: \"Transport.Jobs.DefaultTokensJob\",\n               args: %{\"contact_id\" => ^c1_id, \"organization_id\" => ^organization_id}\n             }\n           ] = all_enqueued()\n  end\n\n  describe \"perform\" do\n    test \"creates a default token\" do\n      organization = insert(:organization)\n\n      contact =\n        insert_contact(%{\n          organizations: [organization |> Map.from_struct()]\n        })\n\n      %DB.Token{id: t1_id} = insert_token(%{organization_id: organization.id})\n\n      assert :ok == perform_job(DefaultTokensJob, %{contact_id: contact.id, organization_id: organization.id})\n\n      assert [%DB.Token{id: ^t1_id}] = DB.Repo.preload(contact, :default_tokens).default_tokens\n    end\n\n    test \"does not create a default token if the contact already has one\" do\n      organization = insert(:organization)\n\n      contact =\n        insert_contact(%{\n          organizations: [organization |> Map.from_struct()]\n        })\n\n      %DB.Token{id: token_id} = token = insert_token(%{organization_id: organization.id})\n      insert(:default_token, %{token: token, contact: contact})\n\n      assert {:cancel, \"Contact##{contact.id} already has a default token\"} ==\n               perform_job(DefaultTokensJob, %{contact_id: contact.id, organization_id: organization.id})\n\n      assert [%DB.Token{id: ^token_id}] = DB.Repo.preload(contact, :default_tokens).default_tokens\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/expiration_notification_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ExpirationNotificationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.ExpirationNotificationJob\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  describe \"dispatcher (main job)\" do\n    test \"dispatches reuser digest jobs\" do\n      today = Date.utc_today()\n      today_str = today |> Date.to_string()\n      a_week_ago = Date.add(today, -7)\n      yesterday = Date.add(today, -1)\n      a_week_from_now = Date.add(today, 7)\n\n      # 2 resources expiring on the same date, does not include the dataset twice\n      %{dataset: %DB.Dataset{} = d1} = insert_resource_and_friends(today)\n      insert_resource_and_friends(today, dataset: d1)\n      %{dataset: %DB.Dataset{} = d2} = insert_resource_and_friends(yesterday)\n      %{dataset: %DB.Dataset{} = d3} = insert_resource_and_friends(a_week_ago)\n      %{dataset: %DB.Dataset{} = d4} = insert_resource_and_friends(a_week_from_now)\n\n      %DB.Contact{} = c1 = insert_contact()\n      %DB.Contact{id: c2_id} = c2 = insert_contact()\n\n      # Subscriptions for `c1`: should not match because:\n      # - is a producer for a relevant expiration delay (+7)\n      # - is a reuser but for an ignored expiration delay\n      # - is a reuser for an irrelevant reason for a matching dataset\n      insert(:notification_subscription,\n        contact_id: c1.id,\n        dataset_id: d1.id,\n        reason: :dataset_with_error,\n        role: :reuser,\n        source: :user\n      )\n\n      insert(:notification_subscription,\n        contact_id: c1.id,\n        dataset_id: d2.id,\n        reason: :expiration,\n        role: :reuser,\n        source: :user\n      )\n\n      insert(:notification_subscription,\n        contact_id: c1.id,\n        dataset_id: d4.id,\n        reason: :expiration,\n        role: :producer,\n        source: :user\n      )\n\n      # Subscriptions for `c2`: matches for expiration today and for +7\n      insert(:notification_subscription,\n        contact_id: c2.id,\n        dataset_id: d1.id,\n        reason: :expiration,\n        role: :reuser,\n        source: :user\n      )\n\n      insert(:notification_subscription,\n        contact_id: c2.id,\n        dataset_id: d4.id,\n        reason: :expiration,\n        role: :reuser,\n        source: :user\n      )\n\n      assert %{-7 => [d3.id], 0 => [d1.id], 7 => [d4.id]} ==\n               ExpirationNotificationJob.gtfs_expiring_on_target_dates(today)\n\n      assert :ok == perform_job(ExpirationNotificationJob, %{}, inserted_at: DateTime.utc_now())\n\n      # Should have dispatched a reuser digest job for c2\n      assert [\n               %Oban.Job{\n                 worker: \"Transport.Jobs.ExpirationNotificationJob\",\n                 args: %{\"type\" => \"reuser_digest\", \"contact_id\" => ^c2_id, \"digest_date\" => ^today_str},\n                 conflict?: false,\n                 state: \"available\"\n               }\n             ] = all_enqueued()\n    end\n\n    test \"sends admin and producer notifications\" do\n      %DB.Dataset{id: dataset_id} =\n        dataset =\n        insert(:dataset, is_active: true, custom_title: \"Dataset custom title\", custom_tags: [\"loi-climat-resilience\"])\n\n      assert DB.Dataset.climate_resilience_bill?(dataset)\n\n      %DB.Resource{id: resource_id} =\n        resource = insert(:resource, dataset: dataset, format: \"GTFS\", title: resource_title = \"Super GTFS\")\n\n      multi_validation =\n        insert(:multi_validation,\n          validator: Transport.Validators.GTFSTransport.validator_name(),\n          resource_history: insert(:resource_history, resource: resource)\n        )\n\n      insert(:resource_metadata,\n        multi_validation_id: multi_validation.id,\n        metadata: %{\"end_date\" => Date.utc_today()}\n      )\n\n      assert [{%DB.Dataset{id: ^dataset_id}, [%DB.Resource{id: ^resource_id}]}] =\n               Date.utc_today() |> Transport.Expiration.datasets_with_resources_expiring_on()\n\n      %DB.Contact{id: contact_id, email: email} = contact = insert_contact()\n\n      %DB.NotificationSubscription{id: ns_id} =\n        insert(:notification_subscription, %{\n          reason: :expiration,\n          source: :admin,\n          role: :producer,\n          contact_id: contact_id,\n          dataset_id: dataset.id\n        })\n\n      # Should be ignored, this subscription is for a reuser\n      %DB.Contact{id: reuser_id} = insert_contact()\n\n      insert(:notification_subscription, %{\n        reason: :expiration,\n        source: :user,\n        role: :reuser,\n        contact_id: reuser_id,\n        dataset_id: dataset.id\n      })\n\n      assert :ok == perform_job(ExpirationNotificationJob, %{}, inserted_at: DateTime.utc_now())\n\n      # Admin email\n      assert_email_sent(fn %Swoosh.Email{\n                             from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                             to: [{\"\", \"contact@transport.data.gouv.fr\"}],\n                             subject: \"Jeux de données arrivant à expiration\",\n                             text_body: nil,\n                             html_body: body\n                           } ->\n        assert body =~ ~r/Jeux de données périmant demain :/\n\n        assert body =~\n                 ~s|<li><a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a> - ✅ notification automatique ⚖️🗺️ article 122</li>|\n      end)\n\n      # Producer email\n      display_name = DB.Contact.display_name(contact)\n\n      assert_email_sent(fn %Swoosh.Email{\n                             from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                             to: [{^display_name, ^email}],\n                             subject: \"Jeu de données arrivant à expiration\",\n                             html_body: html_body\n                           } ->\n        refute html_body =~ \"notification automatique\"\n        refute html_body =~ \"article 122\"\n\n        assert html_body =~\n                 ~s(Les données GTFS #{resource_title} associées au jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a> périment demain.)\n\n        assert html_body =~\n                 ~s(<a href=\"https://doc.transport.data.gouv.fr/administration-des-donnees/procedures-de-publication/mettre-a-jour-des-donnees#remplacer-un-jeu-de-donnees-existant-plutot-quen-creer-un-nouveau\">remplaçant la ressource périmée par la nouvelle</a>)\n      end)\n\n      # Notification logs\n      assert [\n               %DB.Notification{\n                 contact_id: ^contact_id,\n                 email: ^email,\n                 reason: :expiration,\n                 dataset_id: ^dataset_id,\n                 notification_subscription_id: ^ns_id,\n                 role: :producer,\n                 payload: %{\"delay\" => 0, \"job_id\" => _job_id}\n               }\n             ] = DB.Notification |> DB.Repo.all()\n    end\n\n    test \"with nothing to send should not send email\" do\n      assert :ok == perform_job(ExpirationNotificationJob, %{}, inserted_at: DateTime.utc_now())\n      assert_no_email_sent()\n    end\n  end\n\n  describe \"reuser digest worker\" do\n    test \"sends digest email to reuser\" do\n      today = Date.utc_today()\n      a_week_ago = Date.add(today, -7)\n      yesterday = Date.add(today, -1)\n      a_week_from_now = Date.add(today, 7)\n\n      # 2 resources expiring on the same date, does not include the dataset twice\n      %{dataset: %DB.Dataset{id: d1_id} = d1} = insert_resource_and_friends(today)\n      insert_resource_and_friends(today, dataset: d1)\n      %{dataset: %DB.Dataset{} = d2} = insert_resource_and_friends(yesterday)\n      %{dataset: %DB.Dataset{} = d3} = insert_resource_and_friends(a_week_ago)\n      %{dataset: %DB.Dataset{id: d4_id} = d4} = insert_resource_and_friends(a_week_from_now)\n\n      %DB.Contact{id: contact_id, email: contact_email} = contact = insert_contact()\n\n      %DB.NotificationSubscription{id: ns1_id} =\n        insert(:notification_subscription,\n          contact_id: contact.id,\n          dataset_id: d1.id,\n          reason: :expiration,\n          role: :reuser,\n          source: :user\n        )\n\n      insert(:notification_subscription,\n        contact_id: contact.id,\n        dataset_id: d2.id,\n        reason: :expiration,\n        role: :reuser,\n        source: :user\n      )\n\n      %DB.NotificationSubscription{id: ns4_id} =\n        insert(:notification_subscription,\n          contact_id: contact.id,\n          dataset_id: d4.id,\n          reason: :expiration,\n          role: :reuser,\n          source: :user\n        )\n\n      assert %{-7 => [d3.id], 0 => [d1.id], 7 => [d4.id]} ==\n               ExpirationNotificationJob.gtfs_expiring_on_target_dates(today)\n\n      assert :ok ==\n               perform_job(\n                 ExpirationNotificationJob,\n                 %{type: \"reuser_digest\", contact_id: contact.id, digest_date: today},\n                 inserted_at: DateTime.utc_now()\n               )\n\n      display_name = DB.Contact.display_name(contact)\n\n      assert_email_sent(fn %Swoosh.Email{\n                             subject: \"Suivi des jeux de données favoris arrivant à expiration\",\n                             from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                             to: [{^display_name, ^contact_email}],\n                             text_body: nil,\n                             html_body: html\n                           } ->\n        html = String.replace(html, \"\\n\", \"\")\n\n        assert html =~\n                 ~s|<p>Bonjour,</p><p>Voici un résumé de vos jeux de données favoris arrivant à expiration.</p><strong>Jeux de données périmant demain :</strong><ul><li><a href=\"http://127.0.0.1:5100/datasets/#{d1.slug}\">Hello</a></li></ul><br/><strong>Jeux de données périmant dans 7 jours :</strong><ul><li><a href=\"http://127.0.0.1:5100/datasets/#{d4.slug}\">Hello</a></li></ul>|\n\n        assert html =~\n                 ~s|vous pouvez paramétrer vos alertes sur le suivi de vos jeux de données favoris depuis votre <a href=\"http://127.0.0.1:5100/espace_reutilisateur?utm_source=transactional_email&amp;utm_medium=email&amp;utm_campaign=expiration_reuser\">Espace réutilisateur</a>|\n      end)\n\n      assert [\n               %DB.Notification{\n                 reason: :expiration,\n                 role: :reuser,\n                 email: ^contact_email,\n                 contact_id: ^contact_id,\n                 dataset_id: ^d1_id,\n                 notification_subscription_id: ^ns1_id,\n                 payload: %{\"job_id\" => job_id1}\n               },\n               %DB.Notification{\n                 reason: :expiration,\n                 role: :reuser,\n                 email: ^contact_email,\n                 contact_id: ^contact_id,\n                 dataset_id: ^d4_id,\n                 notification_subscription_id: ^ns4_id,\n                 payload: %{\"job_id\" => job_id2}\n               }\n             ] = DB.Notification |> DB.Repo.all() |> Enum.sort_by(& &1.dataset_id)\n\n      assert [job_id1, job_id2] |> Enum.reject(&is_nil/1) |> Enum.uniq() |> Enum.count() == 1\n    end\n\n    test \"cannot dispatch the same reuser digest job twice for the same contact/date\" do\n      enqueue_job = fn ->\n        %{type: \"reuser_digest\", contact_id: 42, digest_date: Date.utc_today()}\n        |> ExpirationNotificationJob.new()\n        |> Oban.insert!()\n      end\n\n      assert %Oban.Job{conflict?: false, unique: %{fields: [:args, :queue, :worker], period: 72_000}} = enqueue_job.()\n      assert %Oban.Job{conflict?: true, unique: nil} = enqueue_job.()\n    end\n  end\n\n  describe \"gtfs_expiring_on_target_dates\" do\n    test \"works with both GTFS validators\" do\n      today = Date.utc_today()\n      a_week_ago = Date.add(today, -7)\n\n      %{dataset: %DB.Dataset{id: d1_id}} = insert_resource_and_friends(today)\n\n      %DB.Dataset{id: d2_id} = insert(:dataset)\n      resource = insert(:resource, dataset_id: d2_id, format: \"GTFS\")\n      resource_history = insert(:resource_history, resource: resource)\n\n      insert(:multi_validation,\n        resource_history: resource_history,\n        validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n        metadata: %DB.ResourceMetadata{metadata: %{\"start_date\" => a_week_ago, \"end_date\" => a_week_ago}}\n      )\n\n      assert %{-7 => [d2_id], 0 => [d1_id]} == ExpirationNotificationJob.gtfs_expiring_on_target_dates(today)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/gbfs_multi_validation_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.GBFSMultiValidationDispatcherJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Shared.Validation.GBFSValidator.Summary, as: GBFSValidationSummary\n  alias Transport.Jobs.{GBFSMultiValidationDispatcherJob, GBFSMultiValidationJob}\n\n  setup :verify_on_exit!\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"relevant_resources\" do\n    resource = insert(:resource, dataset: insert(:dataset), is_available: true, format: \"gbfs\")\n\n    _unvailable_resource = insert(:resource, dataset: insert(:dataset), is_available: true, format: \"csv\")\n    _csv_resource = insert(:resource, dataset: insert(:dataset), is_available: false, format: \"gbfs\")\n\n    assert [resource.id] == GBFSMultiValidationDispatcherJob.relevant_resources()\n  end\n\n  test \"enqueues other jobs\" do\n    %DB.Resource{id: resource_id} = insert(:resource, dataset: insert(:dataset), is_available: true, format: \"gbfs\")\n\n    # Non-relevant resource: a CSV\n    insert(:resource, dataset: insert(:dataset), is_available: true, format: \"csv\")\n\n    assert :ok == perform_job(GBFSMultiValidationDispatcherJob, %{})\n    assert [%Oban.Job{args: %{\"resource_id\" => ^resource_id}}] = all_enqueued(worker: GBFSMultiValidationJob)\n  end\n\n  test \"validates a GBFS resource\" do\n    %DB.Resource{id: resource_id, url: url} =\n      resource =\n      insert(:resource,\n        dataset: insert(:dataset),\n        is_available: true,\n        format: \"gbfs\",\n        url: \"https://example.com/gbfs.json\"\n      )\n\n    assert DB.Resource.gbfs?(resource)\n\n    Transport.GBFSMetadata.Mock\n    |> expect(:compute_feed_metadata, fn ^url ->\n      %{\n        languages: [\"fr\"],\n        system_details: %{\"name\" => \"velhop\", \"timezone\" => \"Europe/Paris\"},\n        vehicle_types: [\"bicycle\"],\n        ttl: 3600,\n        types: [\"stations\"],\n        versions: [\"1.1\"],\n        feeds: [\"system_information\", \"station_information\", \"station_status\"],\n        validation: %GBFSValidationSummary{\n          errors_count: 0,\n          has_errors: false,\n          version_detected: \"1.1\",\n          version_validated: \"1.1\",\n          validator_version: \"31c5325\",\n          validator: :validator_module\n        }\n      }\n    end)\n\n    assert :ok == perform_job(GBFSMultiValidationJob, %{resource_id: resource_id})\n\n    assert %DB.MultiValidation{\n             metadata: %DB.ResourceMetadata{\n               metadata: %{\n                 \"feeds\" => [\"system_information\", \"station_information\", \"station_status\"],\n                 \"languages\" => [\"fr\"],\n                 \"system_details\" => %{\"name\" => \"velhop\", \"timezone\" => \"Europe/Paris\"},\n                 \"ttl\" => 3600,\n                 \"types\" => [\"stations\"],\n                 \"versions\" => [\"1.1\"],\n                 \"vehicle_types\" => [\"bicycle\"]\n               },\n               resource_id: ^resource_id\n             },\n             resource_id: ^resource_id,\n             result: %{\n               \"errors_count\" => 0,\n               \"has_errors\" => false,\n               \"validator\" => \"validator_module\",\n               \"version_detected\" => \"1.1\",\n               \"version_validated\" => \"1.1\"\n             },\n             validated_data_name: ^url,\n             command: \"https://gbfs-validator.netlify.app/.netlify/functions/validator\",\n             validator: \"MobilityData/gbfs-validator\",\n             validator_version: \"31c5325\"\n           } = DB.MultiValidation.with_result() |> DB.Repo.one!() |> DB.Repo.preload(:metadata)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/gbfs_operators_notification_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.GBFSOperatorsNotificationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.GBFSOperatorsNotificationJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  describe \"perform\" do\n    test \"no resources matching\" do\n      known_gbfs = insert(:resource, url: \"https://example.com\", format: \"gbfs\")\n      refute Transport.GBFSMetadata.operator(known_gbfs.url) |> is_nil()\n\n      assert GBFSOperatorsNotificationJob.relevant_feeds() |> Enum.empty?()\n      assert :ok == perform_job(GBFSOperatorsNotificationJob, %{})\n\n      assert_no_email_sent()\n    end\n\n    test \"it works\" do\n      # Should be included: operator is not known\n      %DB.Resource{id: gbfs_id} = insert(:resource, url: url = \"https://404.fr\", format: \"gbfs\")\n      assert Transport.GBFSMetadata.operator(url) |> is_nil()\n\n      # Ignored: GBFS resource is not available\n      down_gbfs = insert(:resource, url: url = \"https://404.fr\", format: \"gbfs\", is_available: false)\n      assert Transport.GBFSMetadata.operator(down_gbfs.url) |> is_nil()\n      # Ignored: operator is known\n      known_gbfs = insert(:resource, url: \"https://example.com\", format: \"gbfs\")\n      refute Transport.GBFSMetadata.operator(known_gbfs.url) |> is_nil()\n      # Ignored: not a GBFS\n      insert(:resource, url: \"https://404.fr/gtfs.zip\", format: \"GTFS\")\n\n      assert [%DB.Resource{id: ^gbfs_id}] = GBFSOperatorsNotificationJob.relevant_feeds()\n\n      assert :ok == perform_job(GBFSOperatorsNotificationJob, %{})\n\n      assert_email_sent(fn %Swoosh.Email{\n                             from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                             to: [{\"\", \"contact@transport.data.gouv.fr\"}],\n                             reply_to: {\"\", \"contact@transport.data.gouv.fr\"},\n                             subject: \"Flux GBFS : opérateurs non détectés\",\n                             text_body: nil,\n                             html_body: html_body\n                           } ->\n        assert html_body =~ ~r/pas possible de détecter automatiquement les opérateurs des flux GBFS/\n        assert html_body =~ ~r|<li><a href=\"#{url}\">#{url}</a></li>|\n      end)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/geo_data/bnlc_to_geodata_test.exs",
    "content": "defmodule Transport.Jobs.BNLCToGeoDataTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.{BaseGeoData, BNLCToGeoData}\n  import DB.Factory\n  import Mox\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  @bnlc_datagouv_id \"bnlc_fake_resource_id\"\n  @bnlc_content ~s(\"id_lieu\",\"Xlong\",\"Ylat\",\"nbre_pl\"\\n\"2A004-C-001\",\"8.783403\",\"41.9523692\",\"0\"\\n\"01024-C-001\",\"5.158352778\",\"46.28957222\",\"5\")\n\n  test \"import a BNLC to the DB\" do\n    geo_data_import = %{id: id} = insert(:geo_data_import)\n    BaseGeoData.insert_data(@bnlc_content, id, &BNLCToGeoData.prepare_data_for_insert/2)\n\n    [row1, row2] = DB.GeoData |> DB.Repo.all()\n\n    assert %{\n             geo_data_import_id: ^id,\n             geom: %Geo.Point{coordinates: {8.783403, 41.952369}, srid: 4326},\n             payload: %{\"id_lieu\" => \"2A004-C-001\", \"nbre_pl\" => \"0\"}\n           } = row1\n\n    assert %{\n             geo_data_import_id: ^id,\n             geom: %Geo.Point{coordinates: {5.158353, 46.289572}, srid: 4326},\n             payload: %{\"id_lieu\" => \"01024-C-001\", \"nbre_pl\" => \"5\"}\n           } = row2\n\n    # test cascading delete: if geo_data_import is deleted, associated geo_data are deleted too\n    geo_data_import |> DB.Repo.delete!()\n    assert [] = DB.GeoData |> DB.Repo.all()\n  end\n\n  test \"bnlc data update logic\" do\n    now = DateTime.utc_now()\n    now_100 = now |> DateTime.add(-100)\n    now_50 = now |> DateTime.add(-50)\n    now_25 = now |> DateTime.add(-25)\n\n    assert [] = DB.GeoData |> DB.Repo.all()\n    assert [] = DB.GeoDataImport |> DB.Repo.all()\n\n    # insert bnlc dataset\n    %DB.Dataset{id: dataset_id} = insert_bnlc_dataset()\n\n    # insert bnlc resources\n    insert(:resource, %{dataset_id: dataset_id, is_community_resource: true})\n    %{id: resource_id} = insert(:resource, %{dataset_id: dataset_id, datagouv_id: @bnlc_datagouv_id})\n    # insert bnlc resource history\n    %{id: id_0} =\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: now_100,\n        payload: %{\"dataset_id\" => dataset_id, \"permanent_url\" => \"url\"}\n      })\n\n    # another random resource history, just in case\n    insert(:resource_history, %{inserted_at: now_25, payload: %{\"dataset_id\" => dataset_id + 5}})\n\n    # download BNLC Mock\n    Transport.HTTPoison.Mock\n    |> expect(:get!, 2, fn \"url\" -> %HTTPoison.Response{status_code: 200, body: @bnlc_content} end)\n\n    # launch job\n    assert :ok = perform_job(BNLCToGeoData, %{})\n\n    # data is imported\n    [%DB.GeoDataImport{id: geo_data_import_1, resource_history_id: ^id_0, slug: :bnlc}] =\n      DB.GeoDataImport |> DB.Repo.all()\n\n    assert DB.GeoData |> DB.Repo.all() |> Enum.count() == 2\n\n    # relaunch job\n    assert :ok = perform_job(BNLCToGeoData, %{})\n\n    # no change\n    [%{id: ^geo_data_import_1}] = DB.GeoDataImport |> DB.Repo.all()\n\n    # new (more recent) resource history\n    %{id: id_1} =\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: now_50,\n        payload: %{\"dataset_id\" => dataset_id, \"permanent_url\" => \"url\"}\n      })\n\n    # relaunch job\n    assert :ok = perform_job(BNLCToGeoData, %{})\n\n    # geo_data and geo_data_import are updated accordingly\n    [%DB.GeoDataImport{id: geo_data_import_2, resource_history_id: ^id_1, slug: :bnlc}] =\n      DB.GeoDataImport |> DB.Repo.all()\n\n    assert geo_data_import_2 !== geo_data_import_1\n\n    [%{geo_data_import_id: ^geo_data_import_2}, %{geo_data_import_id: ^geo_data_import_2}] = DB.GeoData |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/geo_data/gbfs_stations_to_geo_data_test.exs",
    "content": "defmodule Transport.Jobs.GBFSStationsToGeoDataTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.GBFSStationsToGeoData\n  import DB.Factory\n  import Mox\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"relevant_gbfs_urls\" do\n    gbfs_1 = insert(:resource, format: \"gbfs\", url: \"https://example.com/gbfs_1\")\n    gbfs_2 = insert(:resource, format: \"gbfs\", url: \"https://example.com/gbfs_2\")\n    gbfs_3 = insert(:resource, format: \"gbfs\", url: \"https://example.com/gbfs_3\")\n    gbfs_4 = insert(:resource, format: \"gbfs\", url: \"https://example.com/gbfs_4\")\n\n    ten_days_ago = DateTime.utc_now() |> DateTime.add(-10, :day)\n    five_days_ago = DateTime.utc_now() |> DateTime.add(-5, :day)\n\n    # `gbfs_1` is relevant but should not be duplicated\n    insert(:resource_metadata, resource_id: gbfs_1.id, metadata: %{types: [\"stations\"]}, inserted_at: five_days_ago)\n    insert(:resource_metadata, resource_id: gbfs_1.id, metadata: %{types: [\"stations\"]})\n    # `gbfs_4` should be included: stations + free floating\n    insert(:resource_metadata, resource_id: gbfs_4.id, metadata: %{types: [\"free_floating\", \"stations\"]})\n\n    # Ignored: too old\n    insert(:resource_metadata, resource_id: gbfs_2.id, metadata: %{types: [\"stations\"]}, inserted_at: ten_days_ago)\n    # Ignored: no stations\n    insert(:resource_metadata,\n      resource_id: gbfs_3.id,\n      metadata: %{types: [\"free_floating\"]},\n      inserted_at: five_days_ago\n    )\n\n    result = GBFSStationsToGeoData.relevant_gbfs_urls()\n    assert Enum.count(result) == 2\n    assert [gbfs_1.url, gbfs_4.url] |> MapSet.new() == result |> MapSet.new()\n  end\n\n  describe \"perform\" do\n    test \"imports stations data from 2 feeds\" do\n      assert DB.GeoData |> DB.Repo.all() |> Enum.empty?()\n      assert DB.GeoDataImport |> DB.Repo.all() |> Enum.empty?()\n\n      gbfs_1 = insert(:resource, format: \"gbfs\", url: \"https://example.com/gbfs_1\")\n      gbfs_2 = insert(:resource, format: \"gbfs\", url: \"https://example.com/gbfs_2\")\n      station_info_url_1 = \"https://example.com/station_info_url_1\"\n      station_info_url_2 = \"https://example.com/station_info_url_2\"\n\n      insert(:resource_metadata,\n        resource_id: gbfs_1.id,\n        metadata: %{types: [\"stations\"]},\n        inserted_at: DateTime.utc_now() |> DateTime.add(-5, :day)\n      )\n\n      insert(:resource_metadata, resource_id: gbfs_2.id, metadata: %{types: [\"free_floating\", \"stations\"]})\n\n      assert [gbfs_1.url, gbfs_2.url] |> MapSet.new() == GBFSStationsToGeoData.relevant_gbfs_urls() |> MapSet.new()\n\n      setup_responses(%{\n        gbfs_1.url => %{\n          \"version\" => \"3.0\",\n          \"data\" => %{\"feeds\" => [%{\"name\" => \"station_information\", \"url\" => station_info_url_1}]}\n        },\n        station_info_url_1 => %{\n          \"version\" => \"3.0\",\n          \"data\" => %{\n            \"stations\" => [\n              %{\n                \"capacity\" => 30,\n                \"is_valet_station\" => false,\n                \"is_virtual_station\" => false,\n                \"lat\" => 47.26095,\n                \"lon\" => -2.3353,\n                \"name\" => [\n                  %{\n                    \"language\" => \"fr\",\n                    \"text\" => \"Rond-point\"\n                  }\n                ]\n              }\n            ]\n          }\n        },\n        gbfs_2.url => %{\n          \"version\" => \"3.0\",\n          \"data\" => %{\"feeds\" => [%{\"name\" => \"station_information\", \"url\" => station_info_url_2}]}\n        },\n        station_info_url_2 => %{\n          \"version\" => \"3.0\",\n          \"data\" => %{\n            \"stations\" => [\n              %{\n                \"capacity\" => 20,\n                \"is_valet_station\" => false,\n                \"is_virtual_station\" => false,\n                \"lat\" => 45.4542,\n                \"lon\" => 2.6278,\n                \"name\" => [\n                  %{\n                    \"language\" => \"fr\",\n                    \"text\" => \"Gare\"\n                  }\n                ]\n              },\n              # Ignored: virtual station\n              %{\n                \"capacity\" => 10,\n                \"is_virtual_station\" => true,\n                \"lat\" => 2,\n                \"lon\" => 1,\n                \"name\" => [\n                  %{\n                    \"language\" => \"fr\",\n                    \"text\" => \"Bistrot\"\n                  }\n                ]\n              },\n              # Ignored: latitude is nil\n              %{\n                \"capacity\" => 10,\n                \"lat\" => nil,\n                \"lon\" => 1,\n                \"name\" => [\n                  %{\n                    \"language\" => \"fr\",\n                    \"text\" => \"Pub\"\n                  }\n                ]\n              },\n              # Ignored: no coordinates\n              %{\n                \"capacity\" => 10,\n                \"name\" => [\n                  %{\n                    \"language\" => \"fr\",\n                    \"text\" => \"Bar\"\n                  }\n                ]\n              }\n            ]\n          }\n        }\n      })\n\n      assert :ok == perform_job(GBFSStationsToGeoData, %{})\n\n      %DB.GeoDataImport{id: geo_data_import_id} = DB.Repo.get_by!(DB.GeoDataImport, slug: :gbfs_stations)\n\n      assert [\n               %DB.GeoData{\n                 geom: %Geo.Point{coordinates: {2.6278, 45.4542}, srid: 4326},\n                 payload: %{\"capacity\" => 20, \"name\" => \"Gare\"},\n                 geo_data_import_id: ^geo_data_import_id\n               },\n               %DB.GeoData{\n                 geom: %Geo.Point{coordinates: {-2.3353, 47.26095}, srid: 4326},\n                 payload: %{\"capacity\" => 30, \"name\" => \"Rond-point\"},\n                 geo_data_import_id: ^geo_data_import_id\n               }\n             ] = DB.GeoData |> DB.Repo.all() |> Enum.sort_by(& &1.payload[\"capacity\"])\n    end\n\n    test \"replaces existing data\" do\n      geo_data_import = %DB.GeoDataImport{slug: :gbfs_stations} |> DB.Repo.insert!()\n\n      %DB.GeoData{\n        geom: %Geo.Point{coordinates: {2.6278, 45.4542}, srid: 4326},\n        payload: %{\"capacity\" => 20, \"name\" => \"Gare\"},\n        geo_data_import_id: geo_data_import.id\n      }\n      |> DB.Repo.insert!()\n\n      # No GBFS metadata for stations, existing data should be deleted after running the job\n\n      assert [] == GBFSStationsToGeoData.relevant_gbfs_urls()\n\n      assert :ok == perform_job(GBFSStationsToGeoData, %{})\n\n      assert DB.GeoData |> DB.Repo.all() |> Enum.empty?()\n    end\n  end\n\n  defp setup_responses(responses) do\n    expect(Transport.HTTPoison.Mock, :get, Enum.count(responses), fn url ->\n      body = Map.fetch!(responses, url) |> Jason.encode!()\n      {:ok, %HTTPoison.Response{status_code: 200, body: body, headers: [{\"content-type\", \"application/json\"}]}}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/geo_data/irve_to_geodata_test.exs",
    "content": "defmodule Transport.Jobs.IRVEToGeoDataTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.{BaseGeoData, IRVEToGeoData}\n  import DB.Factory\n  import Mox\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  @irve_content ~S\"\"\"\n  nom_amenageur,siren_amenageur,contact_amenageur,nom_operateur,contact_operateur,telephone_operateur,nom_enseigne,id_station_itinerance,id_station_local,nom_station,implantation_station,adresse_station,code_insee_commune,coordonneesXY,nbre_pdc,id_pdc_itinerance,id_pdc_local,puissance_nominale,prise_type_ef,prise_type_2,prise_type_combo_ccs,prise_type_chademo,prise_type_autre,gratuit,paiement_acte,paiement_cb,paiement_autre,tarification,condition_acces,reservation,horaires,accessibilite_pmr,restriction_gabarit,station_deux_roues,raccordement,num_pdl,date_mise_en_service,observations,date_maj,cable_t2_attache,last_modified,datagouv_dataset_id,datagouv_resource_id,datagouv_organization_or_owner,created_at,consolidated_longitude,consolidated_latitude,consolidated_code_postal,consolidated_commune,consolidated_is_lon_lat_correct,consolidated_is_code_insee_verified\n  ,,info@chargepoint.com,,info@chargepoint.com,,STATION SUPER U BELLEVIGNY 4,FRCPIE6610355,FRCPIE6610355,STATION SUPER U BELLEVIGNY 4,Voirie,\"23 Av. Atlant’Vie, 85170 Bellevigny\",,\"[-1.429227, 46.776249]\",6,FRCPIE66103552,FRCPIE66103552,0,false,true,false,false,false,false,true,false,,,Accès réservé,false,24/7,Accessibilité inconnue,inconnu,false,,,2022-10-12,EF connector is available at the site separately,2024-04-07,false,2024-04-08T01:00:12.115000+00:00,64060c2ac773dcf3fabbe5d2,b11113db-875d-41c7-8673-0cf8ad43e917,eco-movement,2023-06-28T11:46:08.539000+00:00,-1.429227,46.776249,,,False,False\n  ,,info@ionity.eu,IONITY,info@ionity.eu,33187210891,IONITY GMBH,FRIONE417100,FRIONE417100,IONITY Giberville Sud,Station dédiée à la recharge rapide,\"Aire de Giberville Sud, Km 220, A13, 14730 Giberville\",14301,\"[-0.277238, 49.166932]\",5,FRIONE4171,FRIONE4171,350,FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,TRUE,FALSE,TRUE,0.69€ / kwh,Accès libre,FALSE,24/7,Accessible mais non réservé PMR,Hauteur maximale 3m,FALSE,Direct,50017455185930,2021-11-18,Recharge jusqu'à 350KW - CCS,2023-03-21,TRUE,2024-01-19T07:47:22.735000+00:00,5b597823c751df57045198a4,78356665-f3f2-4588-aca0-a5cb1606d86d,ionity-gmbh,2023-03-30T14:20:56.532000+00:00,-0.277238,49.166932,14730,Giberville,True,True\n  \"\"\"\n\n  test \"import an IRVE to the DB\" do\n    %{id: id} = insert(:geo_data_import)\n    BaseGeoData.insert_data(@irve_content, id, &IRVEToGeoData.prepare_data_for_insert/2)\n    [row1 | _t] = DB.GeoData |> DB.Repo.all()\n\n    assert %{\n             geo_data_import_id: ^id,\n             geom: %Geo.Point{\n               coordinates: {-1.429227, 46.776249},\n               srid: 4326\n             },\n             payload: %{\n               \"nom_enseigne\" => \"STATION SUPER U BELLEVIGNY 4\",\n               \"nom_station\" => \"STATION SUPER U BELLEVIGNY 4\",\n               \"id_station_itinerance\" => \"FRCPIE6610355\",\n               \"nbre_pdc\" => \"6\"\n             }\n           } = row1\n  end\n\n  test \"IRVE data update logic\" do\n    now = DateTime.utc_now()\n    now_200 = now |> DateTime.add(-200)\n    now_100 = now |> DateTime.add(-100)\n    now_50 = now |> DateTime.add(-50)\n    now_25 = now |> DateTime.add(-25)\n\n    assert [] = DB.GeoData |> DB.Repo.all()\n    assert [] = DB.GeoDataImport |> DB.Repo.all()\n\n    %DB.Dataset{id: dataset_id} = insert_irve_dataset()\n\n    # We don’t want to match community resources (but want to have them in base)\n    insert(:resource, %{\n      dataset_id: dataset_id,\n      is_community_resource: true,\n      datagouv_id: Ecto.UUID.generate()\n    })\n\n    # 2.2.0\n    %{id: old_resource_id} =\n      insert(:resource, %{\n        dataset_id: dataset_id,\n        datagouv_id: \"8d9398ae-3037-48b2-be19-412c24561fbb\",\n        format: \"csv\"\n      })\n\n    insert(:resource_history, %{\n      resource_id: old_resource_id,\n      inserted_at: now_200,\n      payload: %{\"dataset_id\" => dataset_id, \"permanent_url\" => \"url_2_2_0\"}\n    })\n\n    # 2.3.1\n    %{id: resource_id} =\n      insert(:resource, %{\n        dataset_id: dataset_id,\n        datagouv_id: \"eb76d20a-8501-400e-b336-d85724de5435\",\n        format: \"csv\"\n      })\n\n    %{id: id_1} =\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: now_100,\n        payload: %{\"dataset_id\" => dataset_id, \"permanent_url\" => \"url_2_3_1\"}\n      })\n\n    # another random resource history, just in case\n    insert(:resource_history, %{inserted_at: now_25, payload: %{\"dataset_id\" => dataset_id + 5}})\n\n    # download IRVE Mock\n    Transport.HTTPoison.Mock\n    |> expect(:get!, 2, fn \"url_2_3_1\" -> %HTTPoison.Response{status_code: 200, body: @irve_content} end)\n\n    # launch job\n    assert :ok = perform_job(IRVEToGeoData, %{})\n\n    # data is imported\n    [%DB.GeoDataImport{id: geo_data_import_1, resource_history_id: ^id_1, slug: :irve}] =\n      DB.GeoDataImport |> DB.Repo.all()\n\n    assert DB.GeoData |> DB.Repo.all() |> Enum.count() == 2\n\n    # relaunch job\n    assert :ok = perform_job(IRVEToGeoData, %{})\n\n    # no change\n    [%{id: ^geo_data_import_1}] = DB.GeoDataImport |> DB.Repo.all()\n\n    # new (more recent) resource history\n    %{id: id_2} =\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: now_50,\n        payload: %{\"dataset_id\" => dataset_id, \"permanent_url\" => \"url_2_3_1\"}\n      })\n\n    # relaunch job\n    assert :ok = perform_job(IRVEToGeoData, %{})\n\n    # geo_data and geo_data_import are updated accordingly\n    [%DB.GeoDataImport{id: geo_data_import_2, resource_history_id: ^id_2, slug: :irve}] =\n      DB.GeoDataImport |> DB.Repo.all()\n\n    assert geo_data_import_2 !== geo_data_import_1\n\n    [%{geo_data_import_id: ^geo_data_import_2}, %{geo_data_import_id: ^geo_data_import_2}] = DB.GeoData |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/geo_data/lez_to_geo_data_test.exs",
    "content": "defmodule Transport.Jobs.LowEmissionZonesToGeoDataTest do\n  # The trigger refresh_dataset_geographic_view_trigger makes this test\n  # unreliable in a concurrent setup.\n  use ExUnit.Case, async: false\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.{BaseGeoData, LowEmissionZonesToGeoData}\n  import DB.Factory\n  import Mox\n\n  doctest LowEmissionZonesToGeoData, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  @lez_aires_content ~S\"\"\"\n  {\"features\":[{\"geometry\":{\"coordinates\":[[[[102.0,2.0],[103.0,2.0],[103.0,3.0],[102.0,3.0],[102.0,2.0]]],[[[100.0,0.0],[101.0,0.0],[101.0,1.0],[100.0,1.0],[100.0,0.0]],[[100.2,0.2],[100.2,0.8],[100.8,0.8],[100.8,0.2],[100.2,0.2]]]],\"type\":\"MultiPolygon\"},\"properties\":{\"autobus_autocars_critair\":null,\"autobus_autocars_horaires\":null,\"date_debut\":\"2010-01-01\",\"date_fin\":\"2050-01-01\",\"deux_rm_critair\":null,\"deux_rm_horaires\":null,\"id\":\"200040715-ZFE-001\",\"pl_critair\":\"V3\",\"pl_horaires\":\"24/7\",\"url_arrete\":\"https://www.mobilites-m.fr/pdf/arrete_ZFE_VUL_PL.pdf\",\"url_site\":\"https://www.grenoblealpesmetropole.fr/831-la-zfe.htm\",\"vp_critair\":null,\"vp_horaires\":null,\"vul_critair\":\"V3\",\"vul_horaires\":\"24/7\"},\"publisher\":{\"forme_juridique\":\"Syndicat mixte ouvert\",\"nom\":\"Syndicat Mixte des Mobilités de l'Aire Grenobloise\",\"siren\":\"253800825\",\"zfe_id\":\"GRENOBLE\"},\"type\":\"Feature\"}],\"type\":\"FeatureCollection\"}\n  \"\"\"\n\n  test \"import a ZFE to the DB\" do\n    geo_data_import = %{id: id} = insert(:geo_data_import)\n    BaseGeoData.insert_data(@lez_aires_content, id, &LowEmissionZonesToGeoData.prepare_data_for_insert/2)\n\n    [row1] = DB.GeoData |> DB.Repo.all()\n\n    assert %{\n             geo_data_import_id: ^id,\n             geom: %Geo.MultiPolygon{\n               coordinates: [\n                 [[{102.0, 2.0}, {103.0, 2.0}, {103.0, 3.0}, {102.0, 3.0}, {102.0, 2.0}]],\n                 [\n                   [{100.0, +0.0}, {101.0, +0.0}, {101.0, 1.0}, {100.0, 1.0}, {100.0, +0.0}],\n                   [{100.2, 0.2}, {100.2, 0.8}, {100.8, 0.8}, {100.8, 0.2}, {100.2, 0.2}]\n                 ]\n               ],\n               srid: 4326\n             },\n             payload: %{\n               \"autobus_autocars_critair\" => nil,\n               \"autobus_autocars_horaires\" => nil,\n               \"date_debut\" => \"2010-01-01\",\n               \"date_fin\" => \"2050-01-01\",\n               \"deux_rm_critair\" => nil,\n               \"deux_rm_horaires\" => nil,\n               \"id\" => \"200040715-ZFE-001\",\n               \"pl_critair\" => \"V3\",\n               \"pl_horaires\" => \"24/7\",\n               \"url_arrete\" => \"https://www.mobilites-m.fr/pdf/arrete_ZFE_VUL_PL.pdf\",\n               \"url_site\" => \"https://www.grenoblealpesmetropole.fr/831-la-zfe.htm\",\n               \"vp_critair\" => nil,\n               \"vp_horaires\" => nil,\n               \"vul_critair\" => \"V3\",\n               \"vul_horaires\" => \"24/7\"\n             }\n           } = row1\n\n    # test cascading delete: if geo_data_import is deleted, associated geo_data are deleted too\n    geo_data_import |> DB.Repo.delete!()\n    assert [] = DB.GeoData |> DB.Repo.all()\n  end\n\n  test \"ZFE data update logic\" do\n    now = DateTime.utc_now()\n    now_100 = now |> DateTime.add(-100)\n    now_50 = now |> DateTime.add(-50)\n    now_25 = now |> DateTime.add(-25)\n\n    assert [] = DB.GeoData |> DB.Repo.all()\n    assert [] = DB.GeoDataImport |> DB.Repo.all()\n\n    %DB.Dataset{id: dataset_id} = insert_zfe_dataset()\n\n    %{id: resource_id} = insert(:resource, %{dataset_id: dataset_id, title: \"aires.geojson\", format: \"geojson\"})\n    # these should be ignored\n    insert(:resource, %{dataset_id: dataset_id, is_community_resource: true})\n    insert(:resource, %{dataset_id: dataset_id, title: \"voies.geojson\", format: \"geojson\"})\n\n    %{id: id_0} =\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: now_100,\n        payload: %{\"dataset_id\" => dataset_id, \"permanent_url\" => \"url\"}\n      })\n\n    # another random resource history, just in case\n    insert(:resource_history, %{inserted_at: now_25, payload: %{\"dataset_id\" => dataset_id + 5}})\n\n    # download ZFE Mock\n    Transport.HTTPoison.Mock\n    |> expect(:get!, 2, fn \"url\" -> %HTTPoison.Response{status_code: 200, body: @lez_aires_content} end)\n\n    # launch job\n    assert :ok = perform_job(LowEmissionZonesToGeoData, %{})\n\n    # data is imported\n    [%DB.GeoDataImport{id: geo_data_import_1, resource_history_id: ^id_0, slug: :zfe}] =\n      DB.GeoDataImport |> DB.Repo.all()\n\n    assert DB.GeoData |> DB.Repo.all() |> Enum.count() == 1\n\n    # relaunch job\n    assert :ok = perform_job(LowEmissionZonesToGeoData, %{})\n\n    # no change\n    [%{id: ^geo_data_import_1}] = DB.GeoDataImport |> DB.Repo.all()\n\n    # new (more recent) resource history\n    %{id: id_1} =\n      insert(:resource_history, %{\n        resource_id: resource_id,\n        inserted_at: now_50,\n        payload: %{\"dataset_id\" => dataset_id, \"permanent_url\" => \"url\"}\n      })\n\n    # relaunch job\n    assert :ok = perform_job(LowEmissionZonesToGeoData, %{})\n\n    # geo_data and geo_data_import are updated accordingly\n    [%DB.GeoDataImport{id: geo_data_import_2, resource_history_id: ^id_1, slug: :zfe}] =\n      DB.GeoDataImport |> DB.Repo.all()\n\n    assert geo_data_import_2 !== geo_data_import_1\n\n    [%{geo_data_import_id: ^geo_data_import_2}] = DB.GeoData |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/gtfs_diff_job_test.exs",
    "content": "defmodule Transport.Jobs.GTFSDiffTest do\n  use ExUnit.Case, async: true\n  alias Transport.Jobs.GTFSDiff\n  alias Transport.Test.S3TestUtils\n  use Oban.Testing, repo: DB.Repo\n  import Mox\n\n  setup do\n    # We need sandboxing to be disabled for Oban notifications to be persisted\n    # in the test database and therefore propagated to the test case.\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo, sandbox: false)\n  end\n\n  setup :verify_on_exit!\n\n  @base_file \"test/fixture/files/gtfs_diff/gtfs.zip\"\n  @modified_file \"test/fixture/files/gtfs_diff/gtfs_modified_rows.zip\"\n\n  describe \"with GTFS in the gtfs_diff S3 bucket\" do\n    test \"process job\" do\n      with_notifications(fn ->\n        base_gtfs_object = \"base-#{Ecto.UUID.generate()}.zip\"\n        modified_gtfs_object = \"modified-#{Ecto.UUID.generate()}.zip\"\n\n        expect_get_from_bucket(base_gtfs_object, @base_file)\n        expect_get_from_bucket(modified_gtfs_object, @modified_file)\n\n        expect_csv_streamed_to_s3()\n\n        expect_delete_from_bucket(base_gtfs_object)\n        expect_delete_from_bucket(modified_gtfs_object)\n\n        enqueue_job(%{\"gtfs_object_1\" => base_gtfs_object, \"gtfs_object_2\" => modified_gtfs_object})\n\n        expect_various_notifications()\n      end)\n    end\n  end\n\n  describe \"with external URLs\" do\n    test \"process job\" do\n      with_notifications(fn ->\n        base_gtfs_url = \"http://localhost/gtfs/base-#{Ecto.UUID.generate()}.zip\"\n        modified_gtfs_url = \"http://localhost/gtfs/modified-#{Ecto.UUID.generate()}.zip\"\n\n        expect_get_from_url(base_gtfs_url, @base_file)\n        expect_get_from_url(modified_gtfs_url, @modified_file)\n\n        expect_csv_streamed_to_s3()\n\n        enqueue_job(%{\"gtfs_url_1\" => base_gtfs_url, \"gtfs_url_2\" => modified_gtfs_url})\n\n        expect_various_notifications(base_gtfs_url, modified_gtfs_url)\n      end)\n    end\n  end\n\n  defp expect_get_from_bucket(object, file) do\n    Transport.Unzip.S3.Mock\n    |> expect(:get_unzip, fn ^object, bucket_name ->\n      assert bucket_name == \"transport-data-gouv-fr-gtfs-diff-test\"\n\n      file\n      |> Unzip.LocalFile.open()\n      |> Unzip.new()\n    end)\n  end\n\n  defp expect_delete_from_bucket(object) do\n    Transport.Test.S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:gtfs_diff), object)\n  end\n\n  defp expect_get_from_url(url, file) do\n    Transport.Req.impl()\n    |> expect(:get, fn ^url, options ->\n      stream_copy(file, options[:into])\n\n      {:ok, %{status: 200}}\n    end)\n  end\n\n  defp stream_copy(file, into_stream) do\n    File.stream!(file)\n    |> Stream.into(into_stream)\n    |> Stream.run()\n  end\n\n  defp with_notifications(func) do\n    Oban.Notifier.listen(:gossip)\n    func.()\n  after\n    Oban.Notifier.unlisten(:gossip)\n  end\n\n  defp expect_various_notifications do\n    expect_start_notification()\n    |> expect_running_notifications()\n    |> expect_completion_notification_for_files()\n  end\n\n  defp expect_various_notifications(base_url, modified_url) do\n    expect_start_notification()\n    |> expect_running_notifications()\n    |> expect_completion_notification_for_urls(base_url, modified_url)\n  end\n\n  defp expect_running_notifications(job_id) do\n    expect_running_notification(job_id, \"Calcul des différences pour <code>agency.txt</code>\")\n    expect_running_notification(job_id, \"Calcul des différences pour <code>calendar.txt</code>\")\n    expect_running_notification(job_id, \"Calcul des différences pour <code>routes.txt</code>\")\n    expect_running_notification(job_id, \"Calcul des différences pour <code>stops.txt</code>\")\n    expect_running_notification(job_id, \"Calcul des différences pour <code>trips.txt</code>\")\n    job_id\n  end\n\n  defp expect_start_notification do\n    assert_receive {:notification, :gossip, %{\"started\" => job_id}}\n\n    job_id\n  end\n\n  defp expect_running_notification(job_id, msg) do\n    assert_receive {:notification, :gossip, %{\"running\" => ^job_id, \"log\" => ^msg}}\n  end\n\n  defp expect_completion_notification_for_files(job_id) do\n    assert_receive {:notification, :gossip,\n                    %{\n                      \"complete\" => ^job_id,\n                      \"diff_file_url\" => _,\n                      \"context\" => %{\n                        \"gtfs_original_file_name_1\" => \"base.zip\",\n                        \"gtfs_original_file_name_2\" => \"modified.zip\"\n                      }\n                    }}\n  end\n\n  defp expect_completion_notification_for_urls(job_id, base_url, modified_url) do\n    assert_receive {:notification, :gossip,\n                    %{\n                      \"complete\" => ^job_id,\n                      \"diff_file_url\" => _,\n                      \"context\" => %{\n                        \"gtfs_url_1\" => ^base_url,\n                        \"gtfs_url_2\" => ^modified_url\n                      }\n                    }}\n  end\n\n  defp enqueue_job(args) do\n    base_args = %{\n      \"gtfs_original_file_name_1\" => \"base.zip\",\n      \"gtfs_original_file_name_2\" => \"modified.zip\",\n      \"profile\" => \"core\",\n      \"locale\" => \"fr\"\n    }\n\n    assert :ok == perform_job(GTFSDiff, Map.merge(base_args, args))\n  end\n\n  defp expect_csv_streamed_to_s3 do\n    S3TestUtils.s3_mock_stream_file(start_path: \"gtfs-diff\", bucket: Transport.S3.bucket_name(:gtfs_diff))\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/gtfs_import_stops_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.GTFSImportJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  import Transport.Test.FileStreamUtils\n  import Ecto.Query\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"import without error\" do\n    %{resource_history: %{id: resource_history_id}} =\n      insert_up_to_date_resource_and_friends(resource_history_payload: %{\"filename\" => \"some-file.zip\"})\n\n    setup_get_file_stream_mox(\"some-file.zip\")\n    setup_get_file_stream_mox(\"some-file.zip\")\n\n    {:ok, result} = perform_job(Transport.Jobs.GTFSImportStopsJob, %{})\n\n    %{\n      data_import_batch_id: data_import_batch_id,\n      result: [%{resource_history_id: ^resource_history_id}]\n    } = result\n\n    assert DB.Repo.get(DB.DataImportBatch, data_import_batch_id)\n  end\n\n  # NOTE: ultimately, a better approach would be to reimport stops & everything in temporary tables\n  # then drop previous tables, instead of manually removing items, but for now that will do.\n  test \"import must remove data imports for removed resource\" do\n    %{resource: %{id: resource_id}} =\n      insert_up_to_date_resource_and_friends(resource_history_payload: %{\"filename\" => \"some-file.zip\"})\n\n    # import another one to make sure we can still create the materialized views\n    insert_up_to_date_resource_and_friends(resource_history_payload: %{\"filename\" => \"some-file.zip\"})\n\n    setup_get_file_stream_mox(\"some-file.zip\")\n    setup_get_file_stream_mox(\"some-file.zip\")\n    setup_get_file_stream_mox(\"some-file.zip\")\n    setup_get_file_stream_mox(\"some-file.zip\")\n\n    {:ok, _result} = perform_job(Transport.Jobs.GTFSImportStopsJob, %{})\n    assert DB.Repo.aggregate(DB.DataImport, :count, :id) == 2\n    assert DB.Repo.aggregate(DB.GTFS.Stops, :count, :id) == 4\n    assert DB.Repo.aggregate(DB.GTFS.Agency, :count, :id) == 2\n\n    # then delete one of the resource\n    query = from(r in DB.Resource, where: r.id == ^resource_id)\n    query |> DB.Repo.delete_all()\n\n    # resource history & data imports must still be there at this point\n    assert DB.Repo.aggregate(DB.ResourceHistory, :count, :id) == 2\n    assert DB.Repo.aggregate(DB.DataImport, :count, :id) == 2\n    assert DB.Repo.aggregate(DB.GTFS.Stops, :count, :id) == 4\n    assert DB.Repo.aggregate(DB.GTFS.Agency, :count, :id) == 2\n\n    # deleting the resource and re-importing must result into data import removal\n    {:ok, _result} = perform_job(Transport.Jobs.GTFSImportStopsJob, %{})\n    assert DB.Repo.aggregate(DB.DataImport, :count, :id) == 1\n    assert DB.Repo.aggregate(DB.GTFS.Stops, :count, :id) == 2\n    assert DB.Repo.aggregate(DB.GTFS.Agency, :count, :id) == 1\n  end\n\n  test \"import must remove data imports for inactive datasets\" do\n    %{dataset: %{id: dataset_id}} =\n      insert_up_to_date_resource_and_friends(resource_history_payload: %{\"filename\" => \"some-file.zip\"})\n\n    # import another one to make sure we can still create the materialized views\n    insert_up_to_date_resource_and_friends(resource_history_payload: %{\"filename\" => \"some-file.zip\"})\n\n    setup_get_file_stream_mox(\"some-file.zip\")\n    setup_get_file_stream_mox(\"some-file.zip\")\n    setup_get_file_stream_mox(\"some-file.zip\")\n    setup_get_file_stream_mox(\"some-file.zip\")\n\n    {:ok, _result} = perform_job(Transport.Jobs.GTFSImportStopsJob, %{})\n    assert DB.Repo.aggregate(DB.DataImport, :count, :id) == 2\n    assert DB.Repo.aggregate(DB.GTFS.Stops, :count, :id) == 2 * 2\n    assert DB.Repo.aggregate(DB.GTFS.Agency, :count, :id) == 2\n\n    # make one dataset inactive\n    DB.Dataset\n    |> DB.Repo.get_by(id: dataset_id)\n    |> Ecto.Changeset.change(%{is_active: false})\n    |> DB.Repo.update!()\n\n    # data import must be removed\n    {:ok, _result} = perform_job(Transport.Jobs.GTFSImportStopsJob, %{})\n    assert DB.Repo.aggregate(DB.DataImport, :count, :id) == 1\n    assert DB.Repo.aggregate(DB.GTFS.Stops, :count, :id) == 2\n    assert DB.Repo.aggregate(DB.GTFS.Agency, :count, :id) == 1\n  end\n\n  test \"active_up_to_date_datasets_resource_history_items selects up-to-date GTFS\" do\n    insert_outdated_resource_and_friends()\n\n    assert [] == Transport.Jobs.GTFSImportStopsJob.active_up_to_date_datasets_resource_history_items()\n\n    %{resource_history: %{id: resource_history_id}} = insert_up_to_date_resource_and_friends()\n\n    assert [%DB.ResourceHistory{id: ^resource_history_id}] =\n             Transport.Jobs.GTFSImportStopsJob.active_up_to_date_datasets_resource_history_items()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/gtfs_import_stops_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.GTFSImportStopsTest do\n  # due to materialized views creations, we cannot go async\n  use ExUnit.Case, async: false\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  import Ecto.Query\n  import Transport.Test.FileStreamUtils\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  def data_import_ids do\n    DB.Repo.all(from(di in DB.DataImport, select: di.id, order_by: [asc: di.id]))\n  end\n\n  test \"import stops\" do\n    %{id: dataset_id} = insert(:dataset, %{datagouv_id: \"xxx\", datagouv_title: \"coucou\"})\n    %{id: resource_id} = insert(:resource, dataset_id: dataset_id)\n\n    %{id: resource_history_id} =\n      insert(:resource_history, %{resource_id: resource_id, payload: %{\"filename\" => \"some-file.zip\"}})\n\n    setup_get_file_stream_mox(\"some-file.zip\")\n    setup_get_file_stream_mox(\"some-file.zip\")\n    assert data_import_ids() == []\n    first_data_import_id = Transport.GTFSImportStops.import_stops_and_remove_previous(resource_history_id)\n    assert data_import_ids() == [first_data_import_id]\n\n    # subsequent import must remove the previous import for same resource_history_id\n    setup_get_file_stream_mox(\"some-file.zip\")\n    setup_get_file_stream_mox(\"some-file.zip\")\n    second_data_import_id = Transport.GTFSImportStops.import_stops_and_remove_previous(resource_history_id)\n    assert data_import_ids() == [second_data_import_id]\n\n    # subsequent import for a new resource_history_id on same resource should also remove previous imports\n    %{id: new_resource_history_id} =\n      insert(:resource_history, %{resource_id: resource_id, payload: %{\"filename\" => \"some-new-file.zip\"}})\n\n    setup_get_file_stream_mox(\"some-new-file.zip\")\n    setup_get_file_stream_mox(\"some-new-file.zip\")\n    third_data_import_id = Transport.GTFSImportStops.import_stops_and_remove_previous(new_resource_history_id)\n    assert data_import_ids() == [third_data_import_id]\n\n    # other resources should not be impacted by import\n    setup_get_file_stream_mox(\"some-other-file.zip\")\n    setup_get_file_stream_mox(\"some-other-file.zip\")\n    %{id: other_dataset_id} = insert(:dataset, %{datagouv_id: \"yyy\"})\n    %{id: other_resource_id} = insert(:resource, dataset_id: other_dataset_id)\n\n    %{id: other_resource_history_id} =\n      insert(:resource_history, %{resource_id: other_resource_id, payload: %{\"filename\" => \"some-other-file.zip\"}})\n\n    other_data_import_id = Transport.GTFSImportStops.import_stops_and_remove_previous(other_resource_history_id)\n\n    assert data_import_ids() == [third_data_import_id, other_data_import_id]\n\n    %{id: new_resource_history_id} =\n      insert(:resource_history, %{resource_id: resource_id, payload: %{\"filename\" => \"some-new-file.zip\"}})\n\n    setup_get_file_stream_mox(\"some-new-file.zip\")\n    setup_get_file_stream_mox(\"some-new-file.zip\")\n    fourth_data_import_id = Transport.GTFSImportStops.import_stops_and_remove_previous(new_resource_history_id)\n    assert data_import_ids() == [other_data_import_id, fourth_data_import_id]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/gtfs_rt_metadata_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.GTFSRTMetadataJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Transport.Jobs.{GTFSRTMetadataDispatcherJob, GTFSRTMetadataJob}\n  import ExUnit.CaptureLog\n\n  doctest GTFSRTMetadataJob, import: true\n\n  @url \"https://example.com/gtfs-rt\"\n  @sample_file \"#{__DIR__}/../../fixture/files/bibus-brest-gtfs-rt-alerts.pb\"\n\n  setup :verify_on_exit!\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"GTFSRTMetadataDispatcherJob\" do\n    test \"selects appropriate resources\" do\n      active_dataset = insert(:dataset, is_active: true)\n      inactive_dataset = insert(:dataset, is_active: false)\n      hidden_dataset = insert(:dataset, is_active: true, is_hidden: true)\n      insert(:resource, is_available: true, format: \"gbfs\")\n      insert(:resource, is_available: false, format: \"gtfs-rt\")\n      insert(:resource, is_available: true, format: \"gtfs-rt\", dataset: inactive_dataset)\n      insert(:resource, is_available: true, format: \"gtfs-rt\", dataset: hidden_dataset)\n      %{id: resource_id} = insert(:resource, is_available: true, format: \"gtfs-rt\", dataset: active_dataset)\n\n      assert :ok == perform_job(GTFSRTMetadataDispatcherJob, %{})\n      assert [%Oban.Job{args: %{\"resource_id\" => ^resource_id}}] = all_enqueued(worker: GTFSRTMetadataJob)\n    end\n\n    test \"removes old metadata\" do\n      resource = insert(:resource, format: \"gtfs-rt\")\n      gtfs_resource = insert(:resource, format: \"gtfs\")\n      rm1 = insert(:resource_metadata, resource_id: resource.id, inserted_at: days_ago(30))\n      rm2 = insert(:resource_metadata, resource_id: resource.id, inserted_at: days_ago(89))\n      rm3 = insert(:resource_metadata, resource_id: resource.id, inserted_at: days_ago(91))\n      rm4 = insert(:resource_metadata, resource_id: gtfs_resource.id, inserted_at: days_ago(91))\n\n      assert :ok == perform_job(GTFSRTMetadataDispatcherJob, %{})\n\n      assert [rm1, rm2, nil, rm4] == DB.Repo.reload([rm1, rm2, rm3, rm4])\n      assert resource == DB.Repo.reload(resource)\n    end\n  end\n\n  describe \"GTFSRTMetadataJob\" do\n    test \"days_to_keep\" do\n      assert 7 == GTFSRTMetadataJob.days_to_keep()\n    end\n\n    test \"perform with a feed with service_alerts\" do\n      setup_gtfs_rt_feed(@url)\n      resource = insert(:resource, is_available: true, format: \"gtfs-rt\", url: @url, datagouv_id: \"foo\")\n\n      assert :ok == perform_job(GTFSRTMetadataJob, %{\"resource_id\" => resource.id})\n\n      %{\n        metadata: %{\"service_alerts\" => _, \"feed_timestamp_delay\" => feed_timestamp_delay},\n        features: [\"service_alerts\"]\n      } = DB.ResourceMetadata |> DB.Repo.get_by!(resource_id: resource.id)\n\n      assert feed_timestamp_delay > 0\n    end\n\n    test \"perform with a decode error\" do\n      setup_http_response(@url, {:ok, %HTTPoison.Response{status_code: 502}})\n      resource = insert(:resource, is_available: true, format: \"gtfs-rt\", url: @url, datagouv_id: \"foo\")\n      {:ok, logs} = with_log(fn -> perform_job(GTFSRTMetadataJob, %{\"resource_id\" => resource.id}) end)\n      assert DB.Repo.aggregate(DB.ResourceMetadata, :count, :id) == 0\n      assert logs =~ \"Cannot decode GTFS-RT feed\"\n    end\n  end\n\n  defp setup_http_response(url, response) do\n    Transport.HTTPoison.Mock |> expect(:get, fn ^url, [], follow_redirect: true -> response end)\n  end\n\n  defp setup_gtfs_rt_feed(url) do\n    setup_http_response(url, {:ok, %HTTPoison.Response{status_code: 200, body: File.read!(@sample_file)}})\n  end\n\n  defp days_ago(nb) when nb > 0 do\n    DateTime.utc_now() |> DateTime.add(-nb * 24 * 60 * 60)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/gtfs_rt_multi_validation_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.GTFSRTMultiValidationDispatcherJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  alias Transport.Jobs.{GTFSRTMultiValidationDispatcherJob, GTFSRTMultiValidationJob}\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"GTFSRTMultiValidationDispatcherJob\" do\n    test \"selects datasets with at least 1 available GTFS-RT\" do\n      %{dataset: dataset} = insert_up_to_date_resource_and_friends()\n      insert(:resource, dataset_id: dataset.id, is_available: true, format: \"gtfs-rt\")\n\n      # Dataset with an outdated GTFS\n      %{dataset: outdated_dataset} = insert_outdated_resource_and_friends()\n      insert(:resource, dataset_id: outdated_dataset.id, is_available: true, format: \"gtfs-rt\")\n\n      # Dataset without a gtfs-rt\n      insert_up_to_date_resource_and_friends()\n\n      # Dataset with an unavailable GTFS\n      %{dataset: unavailable_dataset} = insert_up_to_date_resource_and_friends(resource_available: false)\n      insert(:resource, dataset_id: unavailable_dataset.id, is_available: true, format: \"gtfs-rt\")\n\n      assert MapSet.new([dataset.id, unavailable_dataset.id, outdated_dataset.id]) ==\n               GTFSRTMultiValidationDispatcherJob.relevant_datasets() |> Enum.map(& &1.id) |> MapSet.new()\n    end\n\n    test \"enqueues other jobs\" do\n      %{dataset: %{id: dataset_id}} = insert_up_to_date_resource_and_friends()\n\n      insert(:resource, dataset_id: dataset_id, is_available: true, format: \"gtfs-rt\")\n\n      assert :ok == perform_job(GTFSRTMultiValidationDispatcherJob, %{})\n      assert [%Oban.Job{args: %{\"dataset_id\" => ^dataset_id}}] = all_enqueued(worker: GTFSRTMultiValidationJob)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/gtfs_to_db_test.exs",
    "content": "defmodule Transport.Jobs.GtfsToDBTest do\n  use ExUnit.Case\n  import DB.Factory\n  import Transport.Jobs.GtfsToDB\n  doctest Transport.Jobs.GtfsToDB, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"import a GTFS file to the database\" do\n    test \"import stop_times\" do\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      file_stream = stream_local_file(\"stop_times.txt\", \"#{__DIR__}/../../fixture/files/gtfs_import.zip\")\n      stop_times_stream_insert(file_stream, data_import_id)\n\n      assert [stop_time_1, stop_time_2] = DB.GTFS.StopTimes |> DB.Repo.all()\n\n      arrival_time = struct(Postgrex.Interval, cast_binary_to_interval(\"08:05:00\"))\n      departure_time = struct(Postgrex.Interval, cast_binary_to_interval(\"08:06:00\"))\n\n      assert %{\n               stop_id: \"stop_1\",\n               data_import_id: ^data_import_id,\n               stop_sequence: 1,\n               trip_id: \"trip_1\",\n               arrival_time: ^arrival_time,\n               departure_time: ^departure_time\n             } = stop_time_1\n\n      time = struct(Postgrex.Interval, cast_binary_to_interval(\"08:10:00\"))\n\n      assert %{\n               stop_id: \"stop_2\",\n               data_import_id: ^data_import_id,\n               stop_sequence: 1,\n               trip_id: \"trip_2\",\n               arrival_time: ^time,\n               departure_time: ^time\n             } = stop_time_2\n    end\n\n    test \"import stops\" do\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      file_stream = stream_local_file(\"stops.txt\", \"#{__DIR__}/../../fixture/files/gtfs_import.zip\")\n      stops_stream_insert(file_stream, data_import_id)\n\n      assert [stop_1, stop_2] = DB.GTFS.Stops |> DB.Repo.all()\n\n      assert %{\n               stop_id: \"stop_1\",\n               data_import_id: ^data_import_id,\n               stop_name: \"Frioul\",\n               stop_lat: 43.28,\n               stop_lon: 5.3,\n               location_type: 1\n             } = stop_1\n\n      assert %{\n               stop_id: \"stop_2\",\n               data_import_id: ^data_import_id,\n               stop_name: \"stop_name\",\n               location_type: 2\n             } = stop_2\n    end\n\n    test \"import calendar\" do\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      file_stream = stream_local_file(\"calendar.txt\", \"#{__DIR__}/../../fixture/files/gtfs_import.zip\")\n      calendar_stream_insert(file_stream, data_import_id)\n\n      assert [cal_1, cal_2] = DB.GTFS.Calendar |> DB.Repo.all()\n\n      assert %{\n               service_id: \"service_1\",\n               data_import_id: ^data_import_id,\n               days: [1, 2, 3, 4, 5, 6, 7],\n               start_date: ~D[2022-01-01],\n               end_date: ~D[2022-01-31]\n             } = cal_1\n\n      assert %{\n               service_id: \"service_2\",\n               data_import_id: ^data_import_id,\n               days: [1, 3, 7],\n               start_date: ~D[2022-06-01],\n               end_date: ~D[2023-01-31]\n             } = cal_2\n    end\n\n    test \"import calendar dates\" do\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      file_stream = stream_local_file(\"calendar_dates.txt\", \"#{__DIR__}/../../fixture/files/gtfs_import.zip\")\n      calendar_dates_stream_insert(file_stream, data_import_id)\n\n      assert [cald_1, cald_2] = DB.GTFS.CalendarDates |> DB.Repo.all()\n\n      assert %{\n               service_id: \"service_1\",\n               data_import_id: ^data_import_id,\n               date: ~D[2022-01-15],\n               exception_type: 1\n             } = cald_1\n\n      assert %{\n               service_id: \"service_2\",\n               data_import_id: ^data_import_id,\n               date: ~D[2022-01-16],\n               exception_type: 2\n             } = cald_2\n    end\n\n    test \"import trips\" do\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      file_stream = stream_local_file(\"trips.txt\", \"#{__DIR__}/../../fixture/files/gtfs_import.zip\")\n      trips_stream_insert(file_stream, data_import_id)\n\n      assert [trip_1, trip_2] = DB.GTFS.Trips |> DB.Repo.all()\n\n      assert %{\n               route_id: \"route_1\",\n               service_id: \"service_1\",\n               trip_id: \"trip_1\",\n               data_import_id: ^data_import_id\n             } = trip_1\n\n      assert %{\n               route_id: \"route_2\",\n               service_id: \"service_2\",\n               trip_id: \"trip_2\",\n               data_import_id: ^data_import_id\n             } = trip_2\n    end\n\n    test \"import agencies\" do\n      %{id: resource_history_id} = :resource_history |> insert(payload: %{})\n      %{id: data_import_id} = :data_import |> insert(resource_history_id: resource_history_id)\n\n      stream_local_file(\"agency.txt\", \"#{__DIR__}/../../fixture/files/gtfs_import.zip\")\n      |> agency_stream_insert(data_import_id)\n\n      assert [\n               %DB.GTFS.Agency{\n                 data_import_id: ^data_import_id,\n                 agency_id: \"76\",\n                 agency_name: \"Frioul If Express\",\n                 agency_url: \"http://www.lepilote.com\",\n                 agency_timezone: \"Europe/Paris\",\n                 agency_lang: \"fr\",\n                 agency_phone: nil,\n                 agency_fare_url: nil,\n                 agency_email: nil,\n                 cemv_support: 0\n               }\n             ] = DB.GTFS.Agency |> DB.Repo.all()\n    end\n  end\n\n  def stream_local_file(file_name, zip_path) do\n    zip_file = Unzip.LocalFile.open(zip_path)\n    {:ok, unzip} = Unzip.new(zip_file)\n    Unzip.file_stream!(unzip, file_name)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/import_companies_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ImportCompaniesJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n  import Mox\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.ImportCompaniesJob\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  # Société Air France\n  @siren \"420495178\"\n  # Danone\n  @other_siren \"552032534\"\n\n  describe \"orchestrator\" do\n    test \"enqueues one job per distinct valid SIREN\" do\n      insert(:dataset, legal_owner_company_siren: @siren)\n      insert(:dataset, legal_owner_company_siren: @siren)\n      insert(:dataset, legal_owner_company_siren: @other_siren)\n      # Invalid SIREN: should be ignored\n      insert(:dataset, legal_owner_company_siren: \"123456789\")\n      # nil: should be ignored\n      insert(:dataset, legal_owner_company_siren: nil)\n\n      assert :ok == perform_job(ImportCompaniesJob, %{})\n\n      enqueued = all_enqueued(worker: ImportCompaniesJob)\n      assert length(enqueued) == 2\n      assert Enum.map(enqueued, & &1.args[\"siren\"]) |> MapSet.new() == MapSet.new([@siren, @other_siren])\n    end\n\n    test \"schedules jobs to respect rate limit of 7 requests per second\" do\n      # 7 additional valid SIRENs + @siren = 8 total\n      # With rate limit 7: indices 0-6 at second 0, index 7 at second 1 → 2 distinct scheduled times\n      valid_sirens = [\n        \"552032534\",\n        \"320878499\",\n        \"552144503\",\n        \"775670417\",\n        \"334024155\",\n        \"253800825\",\n        \"217500016\"\n      ]\n\n      for siren <- [@siren | valid_sirens] do\n        # insert duplicates to verify deduplication\n        insert(:dataset, legal_owner_company_siren: siren)\n        insert(:dataset, legal_owner_company_siren: siren)\n      end\n\n      assert :ok == perform_job(ImportCompaniesJob, %{})\n\n      enqueued = all_enqueued(worker: ImportCompaniesJob)\n      assert length(enqueued) == 8\n\n      # Truncate to the second to compare scheduling buckets\n      scheduled_buckets =\n        enqueued\n        |> Enum.map(& &1.scheduled_at)\n        |> Enum.map(&DateTime.truncate(&1, :second))\n        |> Enum.uniq()\n\n      assert length(scheduled_buckets) == 2\n    end\n  end\n\n  describe \"worker\" do\n    test \"creates a company when it does not exist\" do\n      result = api_result(@siren)\n\n      setup_http_response(\n        @siren,\n        {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(%{\"results\" => [result]})}}\n      )\n\n      assert :ok == perform_job(ImportCompaniesJob, %{siren: @siren})\n\n      company = DB.Repo.one!(from(c in DB.Company, where: c.siren == ^@siren))\n      assert company.nom_complet == \"AIR FRANCE\"\n      assert company.nom_raison_sociale == \"AIR FRANCE\"\n      assert company.sigle == \"AF\"\n      assert company.date_mise_a_jour_rne == ~D[2023-01-15]\n      assert company.siege_adresse == \"45 RUE DE PARIS 95747 ROISSY-EN-FRANCE\"\n      assert company.siege_latitude == 49.003869\n      assert company.siege_longitude == 2.563512\n      assert company.collectivite_territoriale == nil\n      assert company.est_service_public == true\n    end\n\n    test \"updates an existing company\" do\n      DB.Repo.insert!(%DB.Company{siren: @siren, nom_complet: \"OLD NAME\"})\n\n      result = api_result(@siren)\n\n      setup_http_response(\n        @siren,\n        {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(%{\"results\" => [result]})}}\n      )\n\n      assert :ok == perform_job(ImportCompaniesJob, %{siren: @siren})\n\n      assert DB.Repo.one!(from(c in DB.Company, where: c.siren == ^@siren)).nom_complet == \"AIR FRANCE\"\n      assert DB.Repo.aggregate(DB.Company, :count) == 1\n    end\n\n    test \"collectivite_territoriale stores the map from the API response\" do\n      ct = %{\"code\" => \"75\", \"code_insee\" => \"75056\"}\n\n      result =\n        @siren\n        |> api_result()\n        |> put_in([\"complements\", \"collectivite_territoriale\"], ct)\n\n      setup_http_response(\n        @siren,\n        {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(%{\"results\" => [result]})}}\n      )\n\n      assert :ok == perform_job(ImportCompaniesJob, %{siren: @siren})\n\n      assert DB.Repo.one!(from(c in DB.Company, where: c.siren == ^@siren)).collectivite_territoriale == ct\n    end\n\n    test \"logs a warning and does not crash when the API returns an error\" do\n      setup_http_response(@siren, {:ok, %HTTPoison.Response{status_code: 500}})\n\n      {result, log} = ExUnit.CaptureLog.with_log(fn -> perform_job(ImportCompaniesJob, %{siren: @siren}) end)\n\n      assert result == :ok\n      assert log =~ \"could not fetch SIREN #{@siren}\"\n      assert log =~ \"invalid_http_response\"\n      assert DB.Repo.aggregate(DB.Company, :count) == 0\n    end\n\n    test \"logs a warning and does not crash when SIREN is not found in API results\" do\n      setup_http_response(@siren, {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(%{\"results\" => []})}})\n\n      {result, log} = ExUnit.CaptureLog.with_log(fn -> perform_job(ImportCompaniesJob, %{siren: @siren}) end)\n\n      assert result == :ok\n      assert log =~ \"could not fetch SIREN #{@siren}\"\n      assert log =~ \"result_not_found\"\n      assert DB.Repo.aggregate(DB.Company, :count) == 0\n    end\n  end\n\n  describe \"sirens/0\" do\n    test \"returns distinct valid SIRENs from datasets\" do\n      insert(:dataset, legal_owner_company_siren: @siren)\n      insert(:dataset, legal_owner_company_siren: @siren)\n      insert(:dataset, legal_owner_company_siren: @other_siren)\n      insert(:dataset, legal_owner_company_siren: nil)\n      insert(:dataset, legal_owner_company_siren: \"123456789\")\n\n      assert MapSet.new(ImportCompaniesJob.sirens()) == MapSet.new([@siren, @other_siren])\n    end\n  end\n\n  defp api_result(siren) do\n    %{\n      \"siren\" => siren,\n      \"nom_complet\" => \"AIR FRANCE\",\n      \"nom_raison_sociale\" => \"AIR FRANCE\",\n      \"sigle\" => \"AF\",\n      \"date_mise_a_jour_rne\" => \"2023-01-15T16:49:33\",\n      \"siege\" => %{\n        \"adresse\" => \"45 RUE DE PARIS 95747 ROISSY-EN-FRANCE\",\n        \"latitude\" => \"49.003869\",\n        \"longitude\" => \"2.563512\"\n      },\n      \"complements\" => %{\n        \"collectivite_territoriale\" => nil,\n        \"est_service_public\" => true\n      }\n    }\n  end\n\n  defp setup_http_response(siren, response) do\n    uri = %URI{\n      scheme: \"https\",\n      host: \"recherche-entreprises.api.gouv.fr\",\n      port: 443,\n      path: \"/search\",\n      query: \"mtm_campaign=transport-data-gouv-fr&q=#{siren}\"\n    }\n\n    Transport.HTTPoison.Mock |> expect(:get, fn ^uri -> response end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/import_dataset_contact_points_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ImportDatasetContactPointsJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n  import Mox\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.ImportDatasetContactPointsJob\n\n  doctest ImportDatasetContactPointsJob, import: true\n\n  @producer_reasons Transport.NotificationReason.subscribable_reasons_related_to_datasets(:producer)\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"import_contact_point\" do\n    test \"removes a previously existing contact point\" do\n      other_producer = insert_contact()\n      contact_point = insert_contact()\n      %DB.Dataset{datagouv_id: datagouv_id} = dataset = insert(:dataset)\n\n      other_ns =\n        insert(:notification_subscription,\n          dataset_id: dataset.id,\n          contact_id: other_producer.id,\n          role: :producer,\n          reason: :expiration,\n          source: :user\n        )\n\n      contact_point_ns =\n        insert(:notification_subscription,\n          dataset_id: dataset.id,\n          contact_id: contact_point.id,\n          role: :producer,\n          reason: :expiration,\n          source: :\"automation:import_contact_point\"\n        )\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 1, fn ^datagouv_id -> {:ok, %{\"contact_points\" => []}} end)\n\n      ImportDatasetContactPointsJob.import_contact_point(datagouv_id)\n\n      # The contact point's subscription has been deleted and the other one\n      # is untouched.\n      assert [other_ns, nil] == DB.Repo.reload([other_ns, contact_point_ns])\n\n      # The contact point still exists\n      refute DB.Repo.reload(contact_point) |> is_nil()\n    end\n\n    test \"removes contact point with nothing in the database\" do\n      other_producer = insert_contact()\n      %DB.Dataset{datagouv_id: datagouv_id} = dataset = insert(:dataset)\n\n      other_ns =\n        insert(:notification_subscription,\n          dataset_id: dataset.id,\n          contact_id: other_producer.id,\n          role: :producer,\n          reason: :expiration,\n          source: :user\n        )\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 1, fn ^datagouv_id -> {:ok, %{\"contact_points\" => []}} end)\n\n      ImportDatasetContactPointsJob.import_contact_point(datagouv_id)\n\n      assert other_ns == DB.Repo.reload(other_ns)\n    end\n\n    test \"creates producer subscriptions for an existing contact with a subscription\" do\n      %DB.Contact{id: contact_id} = contact_point = insert_contact()\n      %DB.Dataset{datagouv_id: datagouv_id, id: dataset_id} = dataset = insert(:dataset)\n\n      insert(:notification_subscription,\n        dataset_id: dataset.id,\n        contact_id: contact_point.id,\n        role: :producer,\n        reason: :expiration,\n        source: :user\n      )\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 1, fn ^datagouv_id ->\n        {:ok,\n         %{\"contact_points\" => [%{\"email\" => contact_point.email, \"name\" => DB.Contact.display_name(contact_point)}]}}\n      end)\n\n      ImportDatasetContactPointsJob.import_contact_point(datagouv_id)\n\n      assert MapSet.new(@producer_reasons) ==\n               DB.NotificationSubscription.base_query()\n               |> where(\n                 [notification_subscription: ns],\n                 ns.dataset_id == ^dataset_id and ns.role == :producer and ns.contact_id == ^contact_id\n               )\n               |> select([notification_subscription: ns], ns.reason)\n               |> DB.Repo.all()\n               |> MapSet.new()\n\n      assert [\n               %{count: Enum.count(@producer_reasons) - 1, source: :\"automation:import_contact_point\"},\n               %{count: 1, source: :user}\n             ] ==\n               DB.NotificationSubscription.base_query()\n               |> where(\n                 [notification_subscription: ns],\n                 ns.dataset_id == ^dataset_id and ns.role == :producer and ns.contact_id == ^contact_id\n               )\n               |> select([notification_subscription: ns], %{source: ns.source, count: count(ns.id)})\n               |> group_by([notification_subscription: ns], ns.source)\n               |> DB.Repo.all()\n    end\n\n    test \"creates a new contact and producer subscriptions, deletes the previous contact point subscriptions\" do\n      %DB.Dataset{datagouv_id: datagouv_id} = dataset = insert(:dataset)\n      previous_contact_point = insert_contact()\n\n      previous_contact_point_ns =\n        insert(:notification_subscription,\n          dataset_id: dataset.id,\n          contact_id: previous_contact_point.id,\n          role: :producer,\n          reason: :expiration,\n          source: :\"automation:import_contact_point\"\n        )\n\n      email = \"john@example.fr\"\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 1, fn ^datagouv_id ->\n        {:ok, %{\"contact_points\" => [%{\"email\" => email, \"name\" => \"John DOE\"}]}}\n      end)\n\n      ImportDatasetContactPointsJob.import_contact_point(datagouv_id)\n\n      %DB.Contact{first_name: \"John\", email: ^email, creation_source: :\"automation:import_contact_point\"} =\n        contact = DB.Repo.get_by(DB.Contact, last_name: \"DOE\")\n\n      assert nil == DB.Repo.reload(previous_contact_point_ns)\n      assert MapSet.new(@producer_reasons) == subscribed_reasons(dataset, contact)\n    end\n\n    test \"creates subscriptions for 2 contact points, deletes the previous contact point subscription\" do\n      %DB.Dataset{datagouv_id: datagouv_id} = dataset = insert(:dataset)\n      previous_contact_point = insert_contact()\n\n      previous_contact_point_ns =\n        insert(:notification_subscription,\n          dataset_id: dataset.id,\n          contact_id: previous_contact_point.id,\n          role: :producer,\n          reason: :expiration,\n          source: :\"automation:import_contact_point\"\n        )\n\n      john_email = \"john@example.fr\"\n      jane_email = \"jane@example.fr\"\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 1, fn ^datagouv_id ->\n        {:ok,\n         %{\n           \"contact_points\" => [\n             %{\"email\" => john_email, \"name\" => \"John DOE\"},\n             %{\"email\" => jane_email, \"name\" => \"Jane FOO\"}\n           ]\n         }}\n      end)\n\n      ImportDatasetContactPointsJob.import_contact_point(datagouv_id)\n\n      %DB.Contact{first_name: \"John\", email: ^john_email, creation_source: :\"automation:import_contact_point\"} =\n        john = DB.Repo.get_by(DB.Contact, last_name: \"DOE\")\n\n      %DB.Contact{first_name: \"Jane\", email: ^jane_email, creation_source: :\"automation:import_contact_point\"} =\n        jane = DB.Repo.get_by(DB.Contact, last_name: \"FOO\")\n\n      assert nil == DB.Repo.reload(previous_contact_point_ns)\n      assert MapSet.new(@producer_reasons) == subscribed_reasons(dataset, john)\n      assert MapSet.new(@producer_reasons) == subscribed_reasons(dataset, jane)\n    end\n\n    test \"it does not crash when email is nil\" do\n      %DB.Dataset{datagouv_id: datagouv_id} = insert(:dataset)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 1, fn ^datagouv_id ->\n        {:ok,\n         %{\n           \"contact_points\" => [\n             %{\"email\" => nil, \"name\" => \"John DOE\"}\n           ]\n         }}\n      end)\n\n      ImportDatasetContactPointsJob.import_contact_point(datagouv_id)\n    end\n  end\n\n  test \"perform\" do\n    %DB.Dataset{datagouv_id: d1_datagouv_id} = d1 = insert(:dataset)\n    %DB.Dataset{datagouv_id: d2_datagouv_id} = d2 = insert(:dataset)\n    contact_point = insert_contact()\n    email = \"john@example.com\"\n    insert(:dataset, is_active: false)\n    insert(:dataset, is_active: true, is_hidden: true)\n\n    assert MapSet.new([d1_datagouv_id, d2_datagouv_id]) ==\n             ImportDatasetContactPointsJob.dataset_datagouv_ids() |> MapSet.new()\n\n    setup_http_responses([\n      {d1_datagouv_id,\n       %{\"contact_points\" => [%{\"email\" => contact_point.email, \"name\" => DB.Contact.display_name(contact_point)}]}},\n      {d2_datagouv_id, %{\"contact_points\" => [%{\"email\" => email, \"name\" => \"DOE John\"}]}}\n    ])\n\n    assert :ok == perform_job(ImportDatasetContactPointsJob, %{})\n\n    %DB.Contact{email: ^email, first_name: \"John\", creation_source: :\"automation:import_contact_point\"} =\n      created_contact = DB.Repo.get_by(DB.Contact, last_name: \"DOE\")\n\n    assert MapSet.new(@producer_reasons) == subscribed_reasons(d1, contact_point)\n    assert MapSet.new([]) == subscribed_reasons(d2, contact_point)\n\n    assert MapSet.new(@producer_reasons) == subscribed_reasons(d2, created_contact)\n    assert MapSet.new([]) == subscribed_reasons(d1, created_contact)\n  end\n\n  defp subscribed_reasons(%DB.Dataset{id: dataset_id}, %DB.Contact{id: contact_id}) do\n    DB.NotificationSubscription.base_query()\n    |> where(\n      [notification_subscription: ns],\n      ns.dataset_id == ^dataset_id and ns.role == :producer and ns.contact_id == ^contact_id and\n        ns.source == :\"automation:import_contact_point\"\n    )\n    |> select([notification_subscription: ns], ns.reason)\n    |> DB.Repo.all()\n    |> MapSet.new()\n  end\n\n  defp setup_http_responses(data) when is_list(data) do\n    responses =\n      Enum.into(data, %{}, fn {datagouv_id, response} ->\n        {datagouv_id, response}\n      end)\n\n    # HTTP requests order is not important\n    Datagouvfr.Client.Datasets.Mock\n    |> expect(:get, Enum.count(responses), fn datagouv_id ->\n      {:ok, Map.fetch!(responses, datagouv_id)}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/import_dataset_follower_reuser_improved_data_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ImportDatasetFollowerReuserImprovedDataJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Ecto.Query\n  import Transport.Jobs.ImportDatasetFollowerReuserImprovedDataJob\n  alias Transport.Jobs.ImportDatasetFollowerReuserImprovedDataJob\n\n  @dataset_custom_tag \"repartage_donnees\"\n  @google_maps_org_id \"63fdfe4f4cd1c437ac478323\"\n  @transit_org_id \"5c9a6477634f4133c7a5fc01\"\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"perform\" do\n    random_contact = insert_contact()\n    google_maps_org = insert(:organization, id: @google_maps_org_id)\n\n    google_maps_contact =\n      insert_contact(%{\n        datagouv_user_id: Ecto.UUID.generate(),\n        organizations: [google_maps_org |> Map.from_struct()]\n      })\n\n    transit_org = insert(:organization, id: @transit_org_id)\n\n    transit_contact =\n      insert_contact(%{\n        datagouv_user_id: Ecto.UUID.generate(),\n        organizations: [transit_org |> Map.from_struct()]\n      })\n\n    eligible_dataset = insert(:dataset, custom_tags: [@dataset_custom_tag], type: \"public-transit\")\n    other_eligible_dataset = insert(:dataset, custom_tags: [@dataset_custom_tag], type: \"public-transit\")\n    random_dataset = insert(:dataset)\n\n    insert(:dataset_follower, contact: transit_contact, dataset: eligible_dataset, source: :follow_button)\n    insert(:dataset_follower, contact: transit_contact, dataset: random_dataset, source: :follow_button)\n\n    assert MapSet.new([eligible_dataset.id, other_eligible_dataset.id]) == relevant_dataset_ids() |> MapSet.new()\n\n    assert MapSet.new([google_maps_contact.id, transit_contact.id]) ==\n             relevant_contacts() |> Enum.map(& &1.id) |> MapSet.new()\n\n    assert 0 ==\n             DB.DatasetFollower.base_query()\n             |> where([dataset_follower: df], df.source == :improved_data_pilot)\n             |> DB.Repo.aggregate(:count)\n\n    assert :ok == perform_job(ImportDatasetFollowerReuserImprovedDataJob, %{})\n\n    # `random_contact` has no favorites\n    # `google_maps_contact` had 0 and now follows eligible datasets\n    # `transit_contact` followed a random dataset and an eligible one, the other eligible dataset has been added\n    assert MapSet.new([]) == followed_dataset_ids(random_contact)\n    assert MapSet.new([eligible_dataset.id, other_eligible_dataset.id]) == followed_dataset_ids(google_maps_contact)\n\n    assert MapSet.new([eligible_dataset.id, other_eligible_dataset.id, random_dataset.id]) ==\n             followed_dataset_ids(transit_contact)\n\n    assert 3 ==\n             DB.DatasetFollower.base_query()\n             |> where([dataset_follower: df], df.source == :improved_data_pilot)\n             |> DB.Repo.aggregate(:count)\n\n    # Can run the job again without problems, existing favorites are ignored\n    assert :ok == perform_job(ImportDatasetFollowerReuserImprovedDataJob, %{})\n  end\n\n  test \"dataset custom tag has the right value\" do\n    assert @dataset_custom_tag == Application.fetch_env!(:transport, :data_sharing_pilot_dataset_custom_tag)\n  end\n\n  defp followed_dataset_ids(%DB.Contact{} = contact) do\n    contact\n    |> DB.Repo.preload(:followed_datasets)\n    |> Map.fetch!(:followed_datasets)\n    |> Enum.map(& &1.id)\n    |> MapSet.new()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/import_dataset_followers_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ImportDatasetFollowersJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Transport.Jobs.ImportDatasetFollowersJob\n\n  setup :verify_on_exit!\n\n  setup do\n    # Using the real implementation for the moment, then it falls back on `HTTPoison.Mock`\n    Mox.stub_with(Datagouvfr.Client.Datasets.Mock, Datagouvfr.Client.Datasets.External)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"perform\" do\n    insert(:dataset, is_active: false)\n    producer_org = :organization |> build() |> Map.from_struct()\n    other_org = :organization |> build() |> Map.from_struct()\n    dataset = insert(:dataset, organization_id: producer_org.id)\n    other_dataset = insert(:dataset)\n    not_found_dataset = insert(:dataset)\n    %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    %DB.Contact{id: other_contact_id} =\n      other_contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate(), organizations: [other_org]})\n\n    contact_producer = insert_contact(%{datagouv_user_id: Ecto.UUID.generate(), organizations: [producer_org]})\n\n    insert(:dataset_follower, dataset: dataset, contact: contact, source: :datagouv)\n\n    setup_http_responses([\n      {\n        dataset,\n        # Should only create a DatasetFollower row for `contact`:\n        # - 2nd follower is not a known contact\n        # - `contact_producer` is a member of the dataset organization and we don't create rows for producers\n        %{\n          data: [\n            %{\"follower\" => %{\"id\" => contact.datagouv_user_id}},\n            %{\"follower\" => %{\"id\" => Ecto.UUID.generate()}},\n            %{\"follower\" => %{\"id\" => contact_producer.datagouv_user_id}}\n          ],\n          status_code: 200\n        }\n      },\n      {\n        other_dataset,\n        %{\n          data: [\n            %{\"follower\" => %{\"id\" => other_contact.datagouv_user_id}},\n            %{\"follower\" => %{\"id\" => contact.datagouv_user_id}}\n          ],\n          status_code: 200\n        }\n      },\n      {not_found_dataset, %{data: \"\", status_code: 404}}\n    ])\n\n    assert [%DB.Contact{id: ^contact_id}] = dataset_followers(dataset)\n    assert [] = dataset_followers(other_dataset)\n\n    assert :ok == perform_job(ImportDatasetFollowersJob, %{})\n\n    assert [%DB.Contact{id: ^contact_id}] = dataset_followers(dataset)\n    assert [%DB.Contact{id: ^contact_id}, %DB.Contact{id: ^other_contact_id}] = dataset_followers(other_dataset)\n  end\n\n  test \"deletes producers following their datasets\" do\n    producer_org = :organization |> build() |> Map.from_struct()\n    dataset = insert(:dataset, organization_id: producer_org.id)\n    other_dataset = insert(:dataset)\n    %DB.Contact{id: producer_id} = producer = insert_contact(%{organizations: [producer_org]})\n\n    insert(:dataset_follower, dataset: dataset, contact: producer, source: :datagouv)\n    insert(:dataset_follower, dataset: other_dataset, contact: producer, source: :datagouv)\n\n    setup_http_responses([\n      {\n        dataset,\n        %{\n          data: [%{\"follower\" => %{\"id\" => Ecto.UUID.generate()}}],\n          status_code: 200\n        }\n      },\n      {\n        other_dataset,\n        %{\n          data: [%{\"follower\" => %{\"id\" => Ecto.UUID.generate()}}],\n          status_code: 200\n        }\n      }\n    ])\n\n    assert :ok == perform_job(ImportDatasetFollowersJob, %{})\n\n    assert [] == dataset_followers(dataset)\n    assert [%DB.Contact{id: ^producer_id}] = dataset_followers(other_dataset)\n  end\n\n  test \"delete_producers_following_their_datasets\" do\n    producer_org = :organization |> build() |> Map.from_struct()\n    other_org = :organization |> build() |> Map.from_struct()\n    dataset = insert(:dataset, organization_id: producer_org.id)\n    other_dataset = insert(:dataset)\n    %DB.Contact{id: contact_id} = contact = insert_contact()\n    %DB.Contact{id: other_contact_id} = other_contact = insert_contact(%{organizations: [other_org]})\n    %DB.Contact{id: producer_id} = contact_producer = insert_contact(%{organizations: [producer_org]})\n\n    Enum.each([dataset, other_dataset], fn current_dataset ->\n      insert(:dataset_follower, dataset: current_dataset, contact: contact, source: :datagouv)\n      insert(:dataset_follower, dataset: current_dataset, contact: other_contact, source: :datagouv)\n      insert(:dataset_follower, dataset: current_dataset, contact: contact_producer, source: :datagouv)\n    end)\n\n    ImportDatasetFollowersJob.delete_producers_following_their_datasets()\n\n    assert [%DB.Contact{id: ^contact_id}, %DB.Contact{id: ^other_contact_id}] = dataset_followers(dataset)\n\n    assert [%DB.Contact{id: ^contact_id}, %DB.Contact{id: ^other_contact_id}, %DB.Contact{id: ^producer_id}] =\n             dataset_followers(other_dataset)\n  end\n\n  test \"contact_is_producer?\" do\n    refute ImportDatasetFollowersJob.contact_is_producer?({\"foo\", %{organization_ids: []}}, %DB.Dataset{\n             organization_id: nil\n           })\n\n    refute ImportDatasetFollowersJob.contact_is_producer?({\"foo\", %{organization_ids: []}}, %DB.Dataset{\n             organization_id: \"bar\"\n           })\n\n    refute ImportDatasetFollowersJob.contact_is_producer?({\"foo\", %{organization_ids: [\"baz\"]}}, %DB.Dataset{\n             organization_id: \"bar\"\n           })\n\n    assert ImportDatasetFollowersJob.contact_is_producer?({\"foo\", %{organization_ids: [\"bar\"]}}, %DB.Dataset{\n             organization_id: \"bar\"\n           })\n  end\n\n  defp dataset_followers(%DB.Dataset{} = dataset) do\n    dataset |> DB.Repo.preload(:followers, force: true) |> Map.fetch!(:followers) |> Enum.sort_by(& &1.id)\n  end\n\n  defp setup_http_responses(data) do\n    responses =\n      Map.new(data, fn {%DB.Dataset{datagouv_id: datagouv_id}, %{data: _, status_code: _} = params} ->\n        url = \"https://demo.data.gouv.fr/api/1/datasets/#{datagouv_id}/followers/?page_size=500\"\n        {url, params}\n      end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, Enum.count(responses), fn :get,\n                                                  request_url,\n                                                  \"\",\n                                                  [{\"x-fields\", \"data{follower{id}}, next_page\"}],\n                                                  [follow_redirect: true] ->\n      %{status_code: status_code, data: data} = Map.fetch!(responses, request_url)\n      {:ok, %HTTPoison.Response{status_code: status_code, body: Jason.encode!(%{\"data\" => data, \"next_page\" => nil})}}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/import_dataset_monthly_metrics_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ImportDatasetMonthlyMetricsJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n  import Mox\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.ImportDatasetMonthlyMetricsJob\n\n  doctest Transport.Jobs.ImportMonthlyMetrics, import: true\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"import_metrics\" do\n    test \"base case\" do\n      %DB.Dataset{datagouv_id: datagouv_id} = insert(:dataset)\n\n      setup_http_response(datagouv_id, [\n        %{\n          \"dataset_id\" => datagouv_id,\n          \"metric_month\" => \"2022-08\",\n          \"monthly_visit\" => 2633,\n          \"monthly_download_resource\" => 557_626\n        },\n        %{\n          \"dataset_id\" => datagouv_id,\n          \"metric_month\" => \"2022-07\",\n          \"monthly_visit\" => 1475,\n          \"monthly_download_resource\" => 343_617\n        }\n      ])\n\n      assert DB.DatasetMonthlyMetric |> DB.Repo.all() |> Enum.empty?()\n\n      Transport.Jobs.ImportMonthlyMetrics.import_metrics(:dataset, datagouv_id)\n\n      assert [\n               %DB.DatasetMonthlyMetric{\n                 dataset_datagouv_id: ^datagouv_id,\n                 year_month: \"2022-08\",\n                 metric_name: :views,\n                 count: 2633\n               },\n               %DB.DatasetMonthlyMetric{\n                 dataset_datagouv_id: ^datagouv_id,\n                 year_month: \"2022-08\",\n                 metric_name: :downloads,\n                 count: 557_626\n               },\n               %DB.DatasetMonthlyMetric{\n                 dataset_datagouv_id: ^datagouv_id,\n                 year_month: \"2022-07\",\n                 metric_name: :views,\n                 count: 1475\n               },\n               %DB.DatasetMonthlyMetric{\n                 dataset_datagouv_id: ^datagouv_id,\n                 year_month: \"2022-07\",\n                 metric_name: :downloads,\n                 count: 343_617\n               }\n             ] = DB.Repo.all(DB.DatasetMonthlyMetric)\n    end\n\n    test \"replaces existing records\" do\n      %DB.Dataset{datagouv_id: datagouv_id} = insert(:dataset)\n\n      insert(:dataset_monthly_metric,\n        dataset_datagouv_id: datagouv_id,\n        year_month: \"2023-12\",\n        metric_name: :views,\n        count: 42\n      )\n\n      # This datagouv_id has already been imported, we should only fetch the\n      # 3 latest records\n      refute Transport.Jobs.ImportMonthlyMetrics.already_imported?(:dataset, Ecto.UUID.generate())\n      assert Transport.Jobs.ImportMonthlyMetrics.already_imported?(:dataset, datagouv_id)\n\n      setup_http_response(\n        datagouv_id,\n        [\n          %{\n            \"dataset_id\" => datagouv_id,\n            \"metric_month\" => \"2023-12\",\n            \"monthly_visit\" => 1337,\n            \"monthly_download_resource\" => 43\n          }\n        ],\n        page_size: 3\n      )\n\n      assert [\n               %DB.DatasetMonthlyMetric{\n                 id: metric_id,\n                 dataset_datagouv_id: ^datagouv_id,\n                 year_month: \"2023-12\",\n                 metric_name: :views,\n                 count: 42\n               }\n             ] = DB.Repo.all(DB.DatasetMonthlyMetric)\n\n      Transport.Jobs.ImportMonthlyMetrics.import_metrics(:dataset, datagouv_id)\n\n      assert [\n               # Count has been updated, primary key is still the same\n               %DB.DatasetMonthlyMetric{\n                 id: ^metric_id,\n                 dataset_datagouv_id: ^datagouv_id,\n                 year_month: \"2023-12\",\n                 metric_name: :views,\n                 count: 1337,\n                 inserted_at: inserted_at,\n                 updated_at: updated_at\n               },\n               # Has been inserted\n               %DB.DatasetMonthlyMetric{\n                 dataset_datagouv_id: ^datagouv_id,\n                 year_month: \"2023-12\",\n                 metric_name: :downloads,\n                 count: 43\n               }\n             ] = DB.Repo.all(DB.DatasetMonthlyMetric)\n\n      # `updated_at` has been updated to reflect that this row has changed\n      assert DateTime.after?(updated_at, inserted_at)\n    end\n  end\n\n  test \"perform\" do\n    %DB.Dataset{datagouv_id: d1_datagouv_id} = insert(:dataset)\n    %DB.Dataset{datagouv_id: d2_datagouv_id} = insert(:dataset)\n    insert(:dataset, is_active: false)\n    insert(:dataset, is_active: true, is_hidden: true)\n\n    assert MapSet.new([d1_datagouv_id, d2_datagouv_id]) ==\n             ImportDatasetMonthlyMetricsJob.dataset_datagouv_ids() |> MapSet.new()\n\n    setup_http_responses([\n      {d1_datagouv_id,\n       [\n         %{\n           \"dataset_id\" => d1_datagouv_id,\n           \"metric_month\" => \"2023-12\",\n           \"monthly_visit\" => 1337,\n           \"monthly_download_resource\" => 43\n         }\n       ]},\n      {d2_datagouv_id,\n       [\n         %{\n           \"dataset_id\" => d2_datagouv_id,\n           \"metric_month\" => \"2023-12\",\n           \"monthly_visit\" => nil,\n           \"monthly_download_resource\" => 5\n         }\n       ]}\n    ])\n\n    assert :ok == perform_job(ImportDatasetMonthlyMetricsJob, %{})\n\n    assert 4 == DB.Repo.aggregate(DB.DatasetMonthlyMetric, :count, :id)\n\n    assert [\n             %DB.DatasetMonthlyMetric{\n               dataset_datagouv_id: ^d1_datagouv_id,\n               year_month: \"2023-12\",\n               metric_name: :downloads,\n               count: 43\n             },\n             %DB.DatasetMonthlyMetric{\n               dataset_datagouv_id: ^d1_datagouv_id,\n               year_month: \"2023-12\",\n               metric_name: :views,\n               count: 1337\n             }\n           ] =\n             DB.DatasetMonthlyMetric\n             |> where([dmm], dmm.dataset_datagouv_id == ^d1_datagouv_id)\n             |> order_by([dmm], dmm.metric_name)\n             |> DB.Repo.all()\n\n    assert [\n             %DB.DatasetMonthlyMetric{\n               dataset_datagouv_id: ^d2_datagouv_id,\n               year_month: \"2023-12\",\n               metric_name: :downloads,\n               count: 5\n             },\n             %DB.DatasetMonthlyMetric{\n               dataset_datagouv_id: ^d2_datagouv_id,\n               year_month: \"2023-12\",\n               metric_name: :views,\n               count: 0\n             }\n           ] =\n             DB.DatasetMonthlyMetric\n             |> where([dmm], dmm.dataset_datagouv_id == ^d2_datagouv_id)\n             |> order_by([dmm], dmm.metric_name)\n             |> DB.Repo.all()\n  end\n\n  defp setup_http_responses(data) when is_list(data) do\n    responses =\n      Enum.into(data, %{}, fn {datagouv_id, response} ->\n        {Transport.Jobs.ImportMonthlyMetrics.api_url(:dataset, datagouv_id, page_size: 24), response}\n      end)\n\n    # HTTP requests order is not important\n    expect(Transport.Req.Mock, :get, Enum.count(responses), fn url, [] ->\n      {:ok, %Req.Response{status: 200, body: %{\"data\" => Map.fetch!(responses, url)}}}\n    end)\n  end\n\n  defp setup_http_response(datagouv_id, data, options \\\\ []) do\n    page_size = Keyword.get(options, :page_size, 24)\n    metrics_api_url = Transport.Jobs.ImportMonthlyMetrics.api_url(:dataset, datagouv_id, page_size: page_size)\n\n    expect(Transport.Req.Mock, :get, fn ^metrics_api_url, [] ->\n      {:ok, %Req.Response{status: 200, body: %{\"data\" => data}}}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/import_gbfs_feed_contact_point_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ImportGBFSFeedContactEmailJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.ImportGBFSFeedContactEmailJob\n  doctest ImportGBFSFeedContactEmailJob, import: true\n\n  @producer_reasons Transport.NotificationReason.subscribable_reasons_related_to_datasets(:producer) |> MapSet.new()\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"gbfs_feed_contact_emails\" do\n    gbfs_1 = insert(:resource, format: \"gbfs\")\n    gbfs_2 = insert(:resource, format: \"gbfs\")\n    gbfs_3 = insert(:resource, format: \"gbfs\")\n    gbfs_4 = insert(:resource, format: \"gbfs\")\n\n    ten_days_ago = DateTime.utc_now() |> DateTime.add(-10, :day)\n    five_days_ago = DateTime.utc_now() |> DateTime.add(-5, :day)\n\n    # `gbfs_1` is relevant but should not be duplicated\n    insert(:resource_metadata,\n      resource_id: gbfs_1.id,\n      metadata: %{system_details: %{feed_contact_email: \"gbfs1_old@example.com\"}},\n      inserted_at: five_days_ago\n    )\n\n    insert(:resource_metadata,\n      resource_id: gbfs_1.id,\n      metadata: %{system_details: %{feed_contact_email: gbfs_1_email = \"gbfs1@example.com\"}}\n    )\n\n    insert(:resource_metadata,\n      resource_id: gbfs_1.id,\n      metadata: %{system_details: %{feed_contact_email: gbfs_1_email}}\n    )\n\n    # `gbfs_4` should be included\n    insert(:resource_metadata,\n      resource_id: gbfs_4.id,\n      metadata: %{system_details: %{feed_contact_email: gbfs_4_email = \"gbfs4@example.com\"}}\n    )\n\n    # Ignored: too old\n    insert(:resource_metadata,\n      resource_id: gbfs_2.id,\n      metadata: %{system_details: %{feed_contact_email: \"gbfs2@example.com\"}},\n      inserted_at: ten_days_ago\n    )\n\n    # Ignored: no feed_contact_email\n    insert(:resource_metadata,\n      resource_id: gbfs_3.id,\n      metadata: %{system_details: %{foo: 42}},\n      inserted_at: five_days_ago\n    )\n\n    result = ImportGBFSFeedContactEmailJob.gbfs_feed_contact_emails()\n    assert Enum.count(result) == 2\n\n    assert [\n             %{\n               resource_id: gbfs_1.id,\n               feed_contact_email: gbfs_1_email,\n               dataset_id: gbfs_1.dataset_id,\n               resource_url: gbfs_1.url\n             },\n             %{\n               resource_id: gbfs_4.id,\n               feed_contact_email: gbfs_4_email,\n               dataset_id: gbfs_4.dataset_id,\n               resource_url: gbfs_4.url\n             }\n           ]\n           |> MapSet.new() == MapSet.new(result)\n  end\n\n  describe \"update_feed_contact_email\" do\n    test \"creates producer subscriptions for an existing contact with a subscription\" do\n      %DB.Contact{id: contact_id} = gbfs_contact = insert_contact()\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n\n      insert(:notification_subscription,\n        dataset_id: dataset.id,\n        contact_id: gbfs_contact.id,\n        role: :producer,\n        reason: :expiration,\n        source: :user\n      )\n\n      ImportGBFSFeedContactEmailJob.update_feed_contact_email(%{\n        resource_url: \"https://example.com/gbfs.json\",\n        dataset_id: dataset_id,\n        feed_contact_email: gbfs_contact.email\n      })\n\n      assert @producer_reasons ==\n               DB.NotificationSubscription.base_query()\n               |> where(\n                 [notification_subscription: ns],\n                 ns.dataset_id == ^dataset_id and ns.role == :producer and ns.contact_id == ^contact_id\n               )\n               |> select([notification_subscription: ns], ns.reason)\n               |> DB.Repo.all()\n               |> MapSet.new()\n\n      # Kept the already existing subscription made by the user (`source: :user`) and created\n      # the remaining producer reasons.\n      assert [\n               %{count: Enum.count(@producer_reasons) - 1, source: :\"automation:gbfs_feed_contact_email\"},\n               %{count: 1, source: :user}\n             ] ==\n               DB.NotificationSubscription.base_query()\n               |> where(\n                 [notification_subscription: ns],\n                 ns.dataset_id == ^dataset_id and ns.role == :producer and ns.contact_id == ^contact_id\n               )\n               |> select([notification_subscription: ns], %{source: ns.source, count: count(ns.id)})\n               |> group_by([notification_subscription: ns], ns.source)\n               |> DB.Repo.all()\n    end\n\n    test \"creates a new contact and producer subscriptions, deletes the previous GBFS contact subscriptions\" do\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n      previous_gbfs_contact = insert_contact()\n      email = \"john@example.fr\"\n\n      previous_gbfs_contact_ns =\n        insert(:notification_subscription,\n          dataset_id: dataset.id,\n          contact_id: previous_gbfs_contact.id,\n          role: :producer,\n          reason: :expiration,\n          source: :\"automation:gbfs_feed_contact_email\"\n        )\n\n      ImportGBFSFeedContactEmailJob.update_feed_contact_email(%{\n        resource_url: \"https://example.com/gbfs.json\",\n        dataset_id: dataset_id,\n        feed_contact_email: email\n      })\n\n      %DB.Contact{email: ^email, creation_source: :\"automation:import_gbfs_feed_contact_email\", organization: \"Example\"} =\n        contact = DB.Repo.get_by(DB.Contact, mailing_list_title: \"Équipe technique GBFS Example\")\n\n      assert nil == DB.Repo.reload(previous_gbfs_contact_ns)\n      assert MapSet.new([]) == subscribed_reasons(dataset, previous_gbfs_contact)\n      assert @producer_reasons == subscribed_reasons(dataset, contact)\n    end\n\n    test \"does nothing if the subscriptions are already in place, for another source\" do\n      gbfs_contact = insert_contact()\n      other_producer = insert_contact()\n      dataset = insert(:dataset)\n\n      subscriptions =\n        Enum.map(@producer_reasons, fn reason ->\n          insert(:notification_subscription,\n            dataset_id: dataset.id,\n            contact_id: gbfs_contact.id,\n            role: :producer,\n            reason: reason,\n            source: :user\n          )\n        end)\n\n      # Another producer's subscription does not interfere\n      other_ns =\n        insert(:notification_subscription,\n          dataset_id: dataset.id,\n          contact_id: other_producer.id,\n          role: :producer,\n          reason: :expiration,\n          source: :user\n        )\n\n      ImportGBFSFeedContactEmailJob.update_feed_contact_email(%{\n        resource_url: \"https://example.com/gbfs.json\",\n        dataset_id: dataset.id,\n        feed_contact_email: gbfs_contact.email\n      })\n\n      # Subscriptions are still there and did not change\n      assert other_ns == DB.Repo.reload(other_ns)\n      assert subscriptions == DB.Repo.reload(subscriptions)\n    end\n  end\n\n  test \"perform\" do\n    gbfs_1 = insert(:resource, dataset: insert(:dataset), format: \"gbfs\", url: \"https://example.com/gbfs.json\")\n    gbfs_2 = insert(:resource, dataset: insert(:dataset), format: \"gbfs\")\n    %DB.Contact{id: existing_gbfs_contact_id, email: gbfs_2_email} = existing_gbfs_contact = insert_contact()\n\n    five_days_ago = DateTime.utc_now() |> DateTime.add(-5, :day)\n\n    insert(:resource_metadata,\n      resource_id: gbfs_1.id,\n      metadata: %{system_details: %{feed_contact_email: gbfs_1_email = \"gbfs1@example.com\"}},\n      inserted_at: five_days_ago\n    )\n\n    insert(:resource_metadata,\n      resource_id: gbfs_2.id,\n      metadata: %{system_details: %{feed_contact_email: gbfs_2_email}}\n    )\n\n    assert :ok == perform_job(ImportGBFSFeedContactEmailJob, %{})\n\n    assert [first_contact, new_contact] = DB.Contact |> DB.Repo.all() |> Enum.sort_by(& &1.id)\n\n    assert %DB.Contact{id: ^existing_gbfs_contact_id, email: ^gbfs_2_email} = first_contact\n    assert \"Example\" == Transport.GBFSMetadata.operator(gbfs_1.url)\n    assert %DB.Contact{email: ^gbfs_1_email, mailing_list_title: \"Équipe technique GBFS Example\"} = new_contact\n\n    # Subscriptions have been created:\n    # - `new_contact` for `gbfs_1`'s dataset only\n    # - `existing_gbfs_contact` for `gbfs_2`'s dataset only\n    assert @producer_reasons == subscribed_reasons(%DB.Dataset{id: gbfs_1.dataset_id}, new_contact)\n    assert MapSet.new([]) == subscribed_reasons(%DB.Dataset{id: gbfs_2.dataset_id}, new_contact)\n\n    assert MapSet.new([]) == subscribed_reasons(%DB.Dataset{id: gbfs_1.dataset_id}, existing_gbfs_contact)\n    assert @producer_reasons == subscribed_reasons(%DB.Dataset{id: gbfs_2.dataset_id}, existing_gbfs_contact)\n  end\n\n  defp subscribed_reasons(%DB.Dataset{id: dataset_id}, %DB.Contact{id: contact_id}) do\n    DB.NotificationSubscription.base_query()\n    |> where(\n      [notification_subscription: ns],\n      ns.dataset_id == ^dataset_id and ns.role == :producer and ns.contact_id == ^contact_id and\n        ns.source == :\"automation:gbfs_feed_contact_email\"\n    )\n    |> select([notification_subscription: ns], ns.reason)\n    |> DB.Repo.all()\n    |> MapSet.new()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/import_resource_monthly_metrics_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ImportResourceMonthlyMetricsJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n  import Mox\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.ImportResourceMonthlyMetricsJob\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"import_metrics\" do\n    test \"base case\" do\n      %DB.Resource{datagouv_id: resource_datagouv_id} = insert(:resource)\n      %DB.Dataset{datagouv_id: dataset_datagouv_id} = insert(:dataset)\n\n      setup_http_response(resource_datagouv_id, [\n        %{\n          \"resource_id\" => resource_datagouv_id,\n          \"dataset_id\" => dataset_datagouv_id,\n          \"metric_month\" => \"2022-08\",\n          \"monthly_download_resource\" => 557_626\n        },\n        %{\n          \"resource_id\" => resource_datagouv_id,\n          \"dataset_id\" => dataset_datagouv_id,\n          \"metric_month\" => \"2022-07\",\n          \"monthly_download_resource\" => 343_617\n        }\n      ])\n\n      assert DB.ResourceMonthlyMetric |> DB.Repo.all() |> Enum.empty?()\n\n      Transport.Jobs.ImportMonthlyMetrics.import_metrics(:resource, resource_datagouv_id)\n\n      assert [\n               %DB.ResourceMonthlyMetric{\n                 resource_datagouv_id: ^resource_datagouv_id,\n                 dataset_datagouv_id: ^dataset_datagouv_id,\n                 year_month: \"2022-08\",\n                 metric_name: :downloads,\n                 count: 557_626\n               },\n               %DB.ResourceMonthlyMetric{\n                 resource_datagouv_id: ^resource_datagouv_id,\n                 dataset_datagouv_id: ^dataset_datagouv_id,\n                 year_month: \"2022-07\",\n                 metric_name: :downloads,\n                 count: 343_617\n               }\n             ] = DB.Repo.all(DB.ResourceMonthlyMetric)\n    end\n\n    test \"replaces existing records\" do\n      %DB.Resource{datagouv_id: resource_datagouv_id} = insert(:resource)\n      %DB.Dataset{datagouv_id: dataset_datagouv_id} = insert(:dataset)\n\n      insert(:resource_monthly_metric,\n        resource_datagouv_id: resource_datagouv_id,\n        year_month: \"2023-12\",\n        metric_name: :downloads,\n        count: 42\n      )\n\n      # This datagouv_id has already been imported, we should only fetch the\n      # 3 latest records\n      refute Transport.Jobs.ImportMonthlyMetrics.already_imported?(:resource, Ecto.UUID.generate())\n      assert Transport.Jobs.ImportMonthlyMetrics.already_imported?(:resource, resource_datagouv_id)\n\n      setup_http_response(\n        resource_datagouv_id,\n        [\n          %{\n            \"resource_id\" => resource_datagouv_id,\n            \"dataset_id\" => dataset_datagouv_id,\n            \"metric_month\" => \"2023-12\",\n            \"monthly_download_resource\" => 43\n          },\n          %{\n            \"resource_id\" => resource_datagouv_id,\n            \"dataset_id\" => dataset_datagouv_id,\n            \"metric_month\" => \"2023-11\",\n            \"monthly_download_resource\" => 1337\n          }\n        ],\n        page_size: 3\n      )\n\n      assert [\n               %DB.ResourceMonthlyMetric{\n                 id: metric_id,\n                 resource_datagouv_id: ^resource_datagouv_id,\n                 # older metrics might not have the datagouv_dataset_id\n                 dataset_datagouv_id: nil,\n                 year_month: \"2023-12\",\n                 metric_name: :downloads,\n                 count: 42\n               }\n             ] = DB.Repo.all(DB.ResourceMonthlyMetric)\n\n      Transport.Jobs.ImportMonthlyMetrics.import_metrics(:resource, resource_datagouv_id)\n\n      assert [\n               # Count and dataset_datagouv_id have been updated, primary key is still the same\n               %DB.ResourceMonthlyMetric{\n                 id: ^metric_id,\n                 resource_datagouv_id: ^resource_datagouv_id,\n                 dataset_datagouv_id: ^dataset_datagouv_id,\n                 year_month: \"2023-12\",\n                 metric_name: :downloads,\n                 count: 43,\n                 inserted_at: inserted_at,\n                 updated_at: updated_at\n               },\n               # Has been inserted\n               %DB.ResourceMonthlyMetric{\n                 resource_datagouv_id: ^resource_datagouv_id,\n                 dataset_datagouv_id: ^dataset_datagouv_id,\n                 year_month: \"2023-11\",\n                 metric_name: :downloads,\n                 count: 1337\n               }\n             ] = DB.Repo.all(DB.ResourceMonthlyMetric)\n\n      # `updated_at` has been updated to reflect that this row has changed\n      assert DateTime.after?(updated_at, inserted_at)\n    end\n  end\n\n  test \"perform\" do\n    %DB.Resource{datagouv_id: r1_datagouv_id} = insert(:resource)\n    %DB.Resource{datagouv_id: r2_datagouv_id} = insert(:resource)\n    %DB.Dataset{datagouv_id: d1_datagouv_id} = insert(:dataset)\n    %DB.Dataset{datagouv_id: d2_datagouv_id} = insert(:dataset)\n\n    assert MapSet.new([r1_datagouv_id, r2_datagouv_id]) ==\n             ImportResourceMonthlyMetricsJob.resource_datagouv_ids() |> MapSet.new()\n\n    setup_http_responses([\n      {r1_datagouv_id,\n       [\n         %{\n           \"resource_id\" => r1_datagouv_id,\n           \"dataset_id\" => d1_datagouv_id,\n           \"metric_month\" => \"2023-12\",\n           \"monthly_download_resource\" => 43\n         }\n       ]},\n      {r2_datagouv_id,\n       [\n         %{\n           \"resource_id\" => r2_datagouv_id,\n           \"dataset_id\" => d2_datagouv_id,\n           \"metric_month\" => \"2023-12\",\n           \"monthly_download_resource\" => 5\n         }\n       ]}\n    ])\n\n    assert :ok == perform_job(ImportResourceMonthlyMetricsJob, %{})\n\n    assert 2 == DB.Repo.aggregate(DB.ResourceMonthlyMetric, :count, :id)\n\n    assert [\n             %DB.ResourceMonthlyMetric{\n               resource_datagouv_id: ^r1_datagouv_id,\n               dataset_datagouv_id: ^d1_datagouv_id,\n               year_month: \"2023-12\",\n               metric_name: :downloads,\n               count: 43\n             }\n           ] =\n             DB.ResourceMonthlyMetric\n             |> where([rmm], rmm.resource_datagouv_id == ^r1_datagouv_id)\n             |> DB.Repo.all()\n\n    assert [\n             %DB.ResourceMonthlyMetric{\n               resource_datagouv_id: ^r2_datagouv_id,\n               dataset_datagouv_id: ^d2_datagouv_id,\n               year_month: \"2023-12\",\n               metric_name: :downloads,\n               count: 5\n             }\n           ] =\n             DB.ResourceMonthlyMetric\n             |> where([rmm], rmm.resource_datagouv_id == ^r2_datagouv_id)\n             |> DB.Repo.all()\n  end\n\n  defp setup_http_responses(data) when is_list(data) do\n    responses =\n      Enum.into(data, %{}, fn {resource_datagouv_id, response} ->\n        {Transport.Jobs.ImportMonthlyMetrics.api_url(:resource, resource_datagouv_id, page_size: 24), response}\n      end)\n\n    # HTTP requests order is not important\n    expect(Transport.Req.Mock, :get, Enum.count(responses), fn url, [] ->\n      {:ok, %Req.Response{status: 200, body: %{\"data\" => Map.fetch!(responses, url)}}}\n    end)\n  end\n\n  defp setup_http_response(resource_datagouv_id, data, options \\\\ []) do\n    page_size = Keyword.get(options, :page_size, 24)\n    metrics_api_url = Transport.Jobs.ImportMonthlyMetrics.api_url(:resource, resource_datagouv_id, page_size: page_size)\n\n    expect(Transport.Req.Mock, :get, fn ^metrics_api_url, [] ->\n      {:ok, %Req.Response{status: 200, body: %{\"data\" => data}}}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/import_reuses_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ImportReusesJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Mox\n  use Oban.Testing, repo: DB.Repo\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  @csv_url \"https://www.data.gouv.fr/fr/datasets/r/970aafa0-3778-4d8b-b9d1-de937525e379\"\n  @dataset_datagouv_id Ecto.UUID.generate()\n\n  test \"perform\" do\n    %DB.Dataset{id: dataset_id} = insert(:dataset, datagouv_id: @dataset_datagouv_id)\n\n    # An existing reuse will be deleted when importing all reuses\n    DB.Reuse.changeset(%DB.Reuse{}, sample_reuse(Ecto.UUID.generate()))\n    |> DB.Repo.insert!()\n\n    assert 1 == DB.Repo.all(DB.Reuse) |> Enum.count()\n\n    datagouv_id_1 = Ecto.UUID.generate()\n    datagouv_id_2 = Ecto.UUID.generate()\n\n    setup_csv_response([datagouv_id_1, datagouv_id_2])\n\n    assert :ok == perform_job(Transport.Jobs.ImportReusesJob, %{})\n\n    # We now have 2 reuses and they are associated with a dataset\n    # The orphan reuse (not referencing an existing dataset) has been deleted.\n    reuses = DB.Repo.all(DB.Reuse)\n    assert MapSet.new([datagouv_id_1, datagouv_id_2]) == reuses |> Enum.map(& &1.datagouv_id) |> MapSet.new()\n    assert %DB.Reuse{datasets: [%DB.Dataset{id: ^dataset_id}]} = reuses |> hd() |> DB.Repo.preload(:datasets)\n  end\n\n  defp sample_reuse(datagouv_id, datasets \\\\ [@dataset_datagouv_id]) do\n    ~s|{\"title\": \"Carte nationale des plateaux techniques spécialisés (PTS) pour « évaluer l’aptitude médicale à la conduite » \",\"slug\": \"carte-nationale-des-plateaux-techniques-specialises-pts-pour-evaluer-laptitude-medicale-a-la-conduite\",\"url\": \"http://www.data.gouv.fr/fr/reuses/carte-nationale-des-plateaux-techniques-specialises-pts-pour-evaluer-laptitude-medicale-a-la-conduite/\",\"type\": \"visualization\",\"description\": \"Ceci est une description\",\"remote_url\": \"https://www.securite-routiere.gouv.fr/permis-et-situation-de-handicap/carte-des-plateaux-techniques-de-sante\",\"organization\": null,\"organization_id\": null,\"owner\": \"ilyes-zeroual\",\"owner_id\": \"67c0216ab1f98413870cc70c\",\"image\": \"https://static.data.gouv.fr/images/69/f0053e284741c9b6d2a73cc490edb2-500.png\",\"featured\": \"False\",\"created_at\": \"2025-02-27T09:18:54.658000\",\"last_modified\": \"2025-02-27T09:49:33.676000\",\"archived\": \"False\",\"topic\": \"transport_and_mobility\",\"tags\": \"foo,bar\",\"metric.discussions\": \"0\",\"metric.datasets\": \"2\",\"metric.followers\": \"0\",\"metric.views\": \"234\"}|\n    |> Jason.decode!()\n    |> Map.put(\"id\", datagouv_id)\n    |> Map.put(\"datasets\", Enum.join(datasets, \",\"))\n  end\n\n  defp setup_csv_response(datagouv_ids) do\n    url = @csv_url\n    orphan_reuse = sample_reuse(Ecto.UUID.generate(), [Ecto.UUID.generate()])\n\n    body =\n      (Enum.map(datagouv_ids, &sample_reuse/1) ++ [orphan_reuse])\n      |> CSV.encode(headers: true, separator: ?;)\n      |> Enum.join(\"\")\n\n    expect(Transport.Req.Mock, :get!, fn ^url, [decode_body: false] ->\n      %Req.Response{status: 200, body: body}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/multi_validation_with_error_notification_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.MultiValidationWithErrorNotificationJobTest do\n  use ExUnit.Case, async: false\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Ecto.Query\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.MultiValidationWithErrorNotificationJob\n\n  doctest MultiValidationWithErrorNotificationJob, import: true\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  describe \"relevant_validations\" do\n    test \"base case\" do\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n      geojson_resource = insert(:resource, dataset: dataset, format: \"geojson\")\n\n      rh_geojson_resource = insert(:resource_history, resource: geojson_resource)\n\n      insert(:multi_validation, %{\n        validator: Transport.Validators.GTFSRT.validator_name(),\n        resource: insert(:resource, dataset: dataset, format: \"gtfs-rt\"),\n        max_error: \"ERROR\"\n      })\n\n      %DB.MultiValidation{id: mv_id} =\n        insert(:multi_validation, %{\n          resource_history: rh_geojson_resource,\n          validator: Transport.Validators.JSONSchema.validator_name(),\n          result: %{\"has_errors\" => true},\n          inserted_at: DateTime.utc_now() |> DateTime.add(-45, :minute)\n        })\n\n      # Should be empty because:\n      # - real-time validations (for GTFS-RT) are ignored\n      # - the GeoJSON is too old (45 minutes)\n      assert [] == MultiValidationWithErrorNotificationJob.relevant_validations(DateTime.utc_now())\n\n      # Finds the GeoJSON validation because it was created 45 minutes ago\n      dt_limit = DateTime.utc_now() |> DateTime.add(-30, :minute)\n      relevant_validations = MultiValidationWithErrorNotificationJob.relevant_validations(dt_limit)\n      assert [{%DB.Dataset{id: ^dataset_id}, [%DB.MultiValidation{id: ^mv_id}]}] = relevant_validations\n    end\n\n    test \"finds multi validation for real-time data\" do\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n      gbfs = insert(:resource, format: \"gbfs\", dataset: dataset)\n\n      %DB.MultiValidation{id: mv_id} =\n        insert(:multi_validation, %{\n          resource_id: gbfs.id,\n          validator: Transport.Validators.GBFSValidator.validator_name(),\n          result: %{\"has_errors\" => true},\n          inserted_at: DateTime.utc_now() |> DateTime.add(-15, :minute)\n        })\n\n      dt_limit = DateTime.utc_now() |> DateTime.add(-30, :minute)\n      relevant_validations = MultiValidationWithErrorNotificationJob.relevant_validations(dt_limit)\n      assert [{%DB.Dataset{id: ^dataset_id}, [%DB.MultiValidation{id: ^mv_id}]}] = relevant_validations\n    end\n\n    test \"for a GTFS-RT\" do\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n      gtfs_rt = insert(:resource, format: \"gtfs-rt\", dataset: dataset)\n\n      errors = [\n        %{\"error_id\" => \"E003\", \"errors_count\" => 10},\n        %{\"error_id\" => \"E004\", \"errors_count\" => 20},\n        %{\"error_id\" => \"E011\", \"errors_count\" => 10},\n        %{\"error_id\" => \"E034\", \"errors_count\" => 10}\n      ]\n\n      # Should be ignored, number of errors is below the threshold\n      insert(:multi_validation, %{\n        resource_id: gtfs_rt.id,\n        validator: Transport.Validators.GTFSRT.validator_name(),\n        result: %{\"has_errors\" => true, \"errors\" => Enum.take(errors, 3)},\n        inserted_at: DateTime.utc_now() |> DateTime.add(-15, :minute)\n      })\n\n      %DB.MultiValidation{id: mv_id} =\n        insert(:multi_validation, %{\n          resource_id: gtfs_rt.id,\n          validator: Transport.Validators.GTFSRT.validator_name(),\n          result: %{\"has_errors\" => true, \"errors\" => errors},\n          inserted_at: DateTime.utc_now() |> DateTime.add(-15, :minute)\n        })\n\n      dt_limit = DateTime.utc_now() |> DateTime.add(-30, :minute)\n      relevant_validations = MultiValidationWithErrorNotificationJob.relevant_validations(dt_limit)\n      assert [{%DB.Dataset{id: ^dataset_id}, [%DB.MultiValidation{id: ^mv_id}]}] = relevant_validations\n    end\n\n    test \"for a GTFS-RT with a FATAL error\" do\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n      gtfs_rt = insert(:resource, format: \"gtfs-rt\", dataset: dataset)\n\n      %DB.MultiValidation{id: mv_id} =\n        insert(:multi_validation, %{\n          resource_id: gtfs_rt.id,\n          validator: Transport.Validators.GTFSRT.validator_name(),\n          result: %{\"has_errors\" => true, \"errors\" => [%{\"error_id\" => \"FATAL\", \"errors_count\" => 1}]},\n          inserted_at: DateTime.utc_now() |> DateTime.add(-15, :minute)\n        })\n\n      dt_limit = DateTime.utc_now() |> DateTime.add(-30, :minute)\n      relevant_validations = MultiValidationWithErrorNotificationJob.relevant_validations(dt_limit)\n      assert [{%DB.Dataset{id: ^dataset_id}, [%DB.MultiValidation{id: ^mv_id}]}] = relevant_validations\n    end\n\n    test \"finds the MobilityData validator\" do\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n      gtfs = insert(:resource, format: \"GTFS\", dataset: dataset)\n\n      %DB.MultiValidation{id: mv_id} =\n        insert(:multi_validation, %{\n          resource_history: insert(:resource_history, resource: gtfs),\n          validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n          max_error: \"ERROR\",\n          inserted_at: DateTime.utc_now() |> DateTime.add(-15, :minute)\n        })\n\n      dt_limit = DateTime.utc_now() |> DateTime.add(-30, :minute)\n      relevant_validations = MultiValidationWithErrorNotificationJob.relevant_validations(dt_limit)\n      assert [{%DB.Dataset{id: ^dataset_id}, [%DB.MultiValidation{id: ^mv_id}]}] = relevant_validations\n    end\n  end\n\n  test \"perform for multiple static data cases\" do\n    # 2 datasets in scope, with different validators\n    # 1 GTFS dataset with a resource, another dataset with a JSON schema and 2 errors\n    %{id: dataset_id} = dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true, custom_title: \"Mon JDD\")\n\n    %{id: gtfs_dataset_id} =\n      gtfs_dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true, custom_title: \"Dataset GTFS\")\n\n    %DB.Resource{id: resource_1_id} =\n      resource_1 = insert(:resource, dataset: dataset, format: \"geojson\", title: \"GeoJSON 1\")\n\n    %DB.Resource{id: resource_2_id} =\n      resource_2 = insert(:resource, dataset: dataset, format: \"geojson\", title: \"GeoJSON 2\")\n\n    %DB.Resource{id: resource_gtfs_id} = resource_gtfs = insert(:resource, dataset: gtfs_dataset, format: \"GTFS\")\n    rh_resource_1 = insert(:resource_history, resource: resource_1)\n    rh_resource_2 = insert(:resource_history, resource: resource_2)\n    rh_resource_gtfs = insert(:resource_history, resource: resource_gtfs)\n\n    %{id: mv1_id} =\n      insert(:multi_validation, %{\n        resource_history: rh_resource_1,\n        validator: jsonschema_validator_name = Transport.Validators.JSONSchema.validator_name(),\n        result: %{\"has_errors\" => true}\n      })\n\n    %{id: mv2_id} =\n      insert(:multi_validation, %{\n        resource_history: rh_resource_2,\n        validator: Transport.Validators.JSONSchema.validator_name(),\n        result: %{\"has_errors\" => true}\n      })\n\n    %{id: mv3_id} =\n      insert(:multi_validation, %{\n        resource_history: rh_resource_gtfs,\n        validator: gtfs_validator_name = Transport.Validators.GTFSTransport.validator_name(),\n        max_error: \"Fatal\"\n      })\n\n    already_sent_email = \"alreadysent@example.fr\"\n    insert_notification(%{dataset: dataset, role: :producer, reason: :dataset_with_error, email: already_sent_email})\n    # Should be ignored because this is for another reason\n    insert_notification(%{dataset: dataset, role: :producer, reason: :expiration, email: \"foo@example.com\"})\n    # Should be ignored because it's for another dataset\n    insert_notification(%{\n      dataset: gtfs_dataset,\n      role: :producer,\n      reason: :dataset_with_error,\n      email: \"foo@example.com\"\n    })\n\n    # Should be ignored because it's too old\n    %{dataset: dataset, role: :producer, reason: :dataset_with_error, email: \"foo@example.com\"}\n    |> insert_notification()\n    |> Ecto.Changeset.change(%{inserted_at: DateTime.utc_now() |> DateTime.add(-20, :day)})\n    |> DB.Repo.update!()\n\n    %DB.Contact{id: already_sent_contact_id} = insert_contact(%{email: already_sent_email})\n    %DB.Contact{id: foo_contact_id} = foo_contact = insert_contact(%{email: \"foo@example.com\"})\n    %DB.Contact{id: reuser_contact_id} = reuser_contact = insert_contact(%{email: reuser_email = \"reuser@example.com\"})\n\n    # Subscriptions for a contact who was already warned, a producer and a reuser\n    insert(:notification_subscription, %{\n      reason: :dataset_with_error,\n      source: :admin,\n      role: :producer,\n      contact_id: already_sent_contact_id,\n      dataset_id: dataset.id\n    })\n\n    %DB.NotificationSubscription{id: subscription_foo_id} =\n      insert(:notification_subscription, %{\n        reason: :dataset_with_error,\n        source: :admin,\n        role: :producer,\n        contact_id: foo_contact_id,\n        dataset_id: dataset.id\n      })\n\n    %DB.NotificationSubscription{id: subscription_reuser_id} =\n      insert(:notification_subscription, %{\n        reason: :dataset_with_error,\n        source: :user,\n        role: :reuser,\n        contact_id: reuser_contact_id,\n        dataset_id: dataset.id\n      })\n\n    # Contact + subscription for another dataset\n    %DB.Contact{id: bar_contact_id} = bar_contact = insert_contact(%{email: \"bar@example.com\"})\n\n    %DB.NotificationSubscription{id: subscription_bar_id} =\n      insert(:notification_subscription, %{\n        reason: :dataset_with_error,\n        source: :admin,\n        role: :producer,\n        contact_id: bar_contact_id,\n        dataset_id: gtfs_dataset.id\n      })\n\n    assert :ok == perform_job(MultiValidationWithErrorNotificationJob, %{})\n\n    assert_email_sent(fn %Swoosh.Email{to: to, subject: subject, html_body: html} ->\n      assert to == [{DB.Contact.display_name(foo_contact), foo_contact.email}]\n      assert subject == \"Erreurs détectées dans le jeu de données #{dataset.custom_title}\"\n\n      assert html =~\n               ~s(Des erreurs bloquantes ont été détectées dans votre jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a>)\n\n      assert html =~\n               ~s(<a href=\"http://127.0.0.1:5100/resources/#{resource_1.id}\">#{resource_1.title}</a>)\n\n      assert html =~\n               ~s(<a href=\"http://127.0.0.1:5100/resources/#{resource_2.id}\">#{resource_2.title}</a>)\n    end)\n\n    assert_email_sent(fn %Swoosh.Email{to: to, subject: subject, html_body: html} ->\n      assert to == [{DB.Contact.display_name(reuser_contact), reuser_email}]\n      assert subject == \"Erreurs détectées dans le jeu de données #{dataset.custom_title}\"\n\n      assert html =~\n               ~s(Des erreurs bloquantes ont été détectées dans le jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a> que vous réutilisez.)\n\n      assert html =~ \"Nous avons déjà informé le producteur de ces données.\"\n    end)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: to,\n                           subject: subject,\n                           html_body: html\n                         } ->\n      assert to == [{DB.Contact.display_name(bar_contact), bar_contact.email}]\n      assert subject == \"Erreurs détectées dans le jeu de données #{gtfs_dataset.custom_title}\"\n\n      assert html =~\n               ~s(Des erreurs bloquantes ont été détectées dans votre jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{gtfs_dataset.slug}\">#{gtfs_dataset.custom_title}</a>)\n\n      assert html =~\n               ~s(<a href=\"http://127.0.0.1:5100/resources/#{resource_gtfs.id}\">#{resource_gtfs.title}</a>)\n    end)\n\n    # Checks no other emails have been sent\n    assert_no_email_sent()\n\n    # Logs have been saved\n    recent_dt = DateTime.utc_now() |> DateTime.add(-1, :second)\n\n    assert %DB.Notification{\n             role: :producer,\n             payload: %{\n               \"resource_formats\" => [\"geojson\", \"geojson\"],\n               \"resource_ids\" => [^resource_1_id, ^resource_2_id],\n               \"validator_name\" => ^jsonschema_validator_name,\n               \"job_id\" => job_id,\n               \"attempt\" => 1\n             },\n             notification_subscription_id: ^subscription_foo_id\n           } =\n             DB.Notification.base_query()\n             |> where(\n               [notification: n],\n               n.email_hash == ^\"foo@example.com\" and n.dataset_id == ^dataset_id and n.inserted_at >= ^recent_dt and\n                 n.reason == :dataset_with_error\n             )\n             |> DB.Repo.one!()\n\n    assert %DB.Notification{\n             role: :reuser,\n             reason: :dataset_with_error,\n             payload: %{\n               \"producer_warned\" => true,\n               \"validator_name\" => ^jsonschema_validator_name,\n               \"job_id\" => reuser_job_id,\n               \"attempt\" => 1\n             },\n             notification_subscription_id: ^subscription_reuser_id\n           } =\n             DB.Notification.base_query()\n             |> where(\n               [notification: n],\n               n.email_hash == ^reuser_email and n.dataset_id == ^dataset_id and n.inserted_at >= ^recent_dt\n             )\n             |> DB.Repo.one!()\n\n    assert %DB.Notification{\n             role: :producer,\n             reason: :dataset_with_error,\n             payload: %{\n               \"resource_formats\" => [\"GTFS\"],\n               \"resource_ids\" => [^resource_gtfs_id],\n               \"validator_name\" => ^gtfs_validator_name,\n               \"job_id\" => bar_job_id,\n               \"attempt\" => 1\n             },\n             notification_subscription_id: ^subscription_bar_id\n           } =\n             DB.Notification.base_query()\n             |> where(\n               [notification: n],\n               n.email_hash == ^\"bar@example.com\" and n.dataset_id == ^gtfs_dataset_id and n.inserted_at >= ^recent_dt\n             )\n             |> DB.Repo.one!()\n\n    assert MapSet.new([job_id, reuser_job_id, bar_job_id]) |> Enum.count() == 1\n\n    assert [\n             %Oban.Job{\n               worker: \"Transport.Jobs.MultiValidationWithErrorNotificationJob\",\n               args: %{\"dataset_id\" => ^gtfs_dataset_id, \"multi_validation_ids\" => [^mv3_id], \"attempt\" => 2},\n               scheduled_at: scheduled_at,\n               state: \"scheduled\"\n             },\n             %Oban.Job{\n               worker: \"Transport.Jobs.MultiValidationWithErrorNotificationJob\",\n               args: %{\"dataset_id\" => ^dataset_id, \"multi_validation_ids\" => [^mv1_id, ^mv2_id], \"attempt\" => 2},\n               state: \"scheduled\"\n             }\n           ] = all_enqueued()\n\n    assert_in_delta scheduled_at |> DateTime.to_unix(),\n                    DateTime.utc_now() |> DateTime.add(7, :day) |> DateTime.to_unix(),\n                    50\n  end\n\n  test \"perform for a real-time error dataset\" do\n    %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n    %DB.Resource{id: gbfs_id} = gbfs = insert(:resource, dataset: dataset, format: \"gbfs\")\n\n    insert(:multi_validation, %{\n      resource: gbfs,\n      validator: gbfs_validator_name = Transport.Validators.GBFSValidator.validator_name(),\n      result: %{\"has_errors\" => true}\n    })\n\n    %DB.Contact{id: producer_contact_id} = producer_contact = insert_contact()\n\n    %DB.NotificationSubscription{id: subscription_producer_id} =\n      insert(:notification_subscription, %{\n        reason: :dataset_with_error,\n        source: :admin,\n        role: :producer,\n        contact_id: producer_contact_id,\n        dataset_id: dataset.id\n      })\n\n    # An error notification was already sent to another producer in the last 30 days.\n    # The other producer should not be warned again.\n    %DB.Contact{email: already_sent_email} = insert_contact()\n\n    %DB.Notification{id: previous_notification_id} =\n      %{dataset: dataset, role: :producer, reason: :dataset_with_error, email: already_sent_email}\n      |> insert_notification()\n      |> Ecto.Changeset.change(%{inserted_at: DateTime.utc_now() |> DateTime.add(-25, :day)})\n      |> DB.Repo.update!()\n\n    assert :ok == perform_job(MultiValidationWithErrorNotificationJob, %{})\n\n    assert_email_sent(fn %Swoosh.Email{to: to, subject: subject, html_body: html} ->\n      assert to == [{DB.Contact.display_name(producer_contact), producer_contact.email}]\n      assert subject == \"Erreurs détectées dans le jeu de données #{dataset.custom_title}\"\n\n      assert html =~\n               ~s(Des erreurs bloquantes ont été détectées dans votre jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a>)\n\n      assert html =~\n               ~s(<a href=\"http://127.0.0.1:5100/resources/#{gbfs.id}\">#{gbfs.title}</a>)\n    end)\n\n    # Checks no other emails have been sent\n    assert_no_email_sent()\n\n    # Logs have been saved\n    assert [\n             %DB.Notification{id: ^previous_notification_id},\n             %DB.Notification{\n               contact_id: ^producer_contact_id,\n               dataset_id: ^dataset_id,\n               role: :producer,\n               payload: %{\n                 \"resource_formats\" => [\"gbfs\"],\n                 \"resource_ids\" => [^gbfs_id],\n                 \"validator_name\" => ^gbfs_validator_name,\n                 \"job_id\" => _,\n                 \"attempt\" => 1\n               },\n               notification_subscription_id: ^subscription_producer_id\n             }\n           ] = DB.Notification |> DB.Repo.all() |> Enum.sort_by(& &1.inserted_at, DateTime)\n\n    assert [] = all_enqueued()\n  end\n\n  test \"perform when a real-time notification was already sent and we have an error for static data\" do\n    %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n    %DB.Resource{} = gbfs = insert(:resource, dataset: dataset, format: \"gbfs\")\n    %DB.Resource{id: geojson_id} = geojson = insert(:resource, dataset: dataset, format: \"geojson\")\n\n    # Both resources have an error **now**\n    insert(:multi_validation, %{\n      resource: gbfs,\n      validator: gbfs_validator_name = Transport.Validators.GBFSValidator.validator_name(),\n      result: %{\"has_errors\" => true}\n    })\n\n    %{id: mv_id} =\n      insert(:multi_validation, %{\n        resource_history: insert(:resource_history, resource: geojson),\n        validator: geojson_validator_name = Transport.Validators.JSONSchema.validator_name(),\n        result: %{\"has_errors\" => true}\n      })\n\n    %DB.Contact{id: producer_contact_id} = producer_contact = insert_contact()\n\n    %DB.NotificationSubscription{id: subscription_producer_id} =\n      insert(:notification_subscription, %{\n        reason: :dataset_with_error,\n        source: :admin,\n        role: :producer,\n        contact_id: producer_contact_id,\n        dataset_id: dataset.id\n      })\n\n    # We already sent an error notification regarding the real time resource (GBFS) in the last 30 days\n    {gbfs_sending_delay, :day} = MultiValidationWithErrorNotificationJob.sending_delay_by_validator(gbfs_validator_name)\n\n    %DB.Notification{id: previous_notification_id} =\n      %{\n        dataset: dataset,\n        role: :producer,\n        reason: :dataset_with_error,\n        email: producer_contact.email,\n        payload: %{validator_name: gbfs_validator_name}\n      }\n      |> insert_notification()\n      |> Ecto.Changeset.change(%{inserted_at: DateTime.utc_now() |> DateTime.add(-(gbfs_sending_delay - 5), :day)})\n      |> DB.Repo.update!()\n\n    assert :ok == perform_job(MultiValidationWithErrorNotificationJob, %{})\n\n    # We send a single email related to the static resource (geojson)\n    assert_email_sent(fn %Swoosh.Email{to: to, subject: subject, html_body: html} ->\n      assert to == [{DB.Contact.display_name(producer_contact), producer_contact.email}]\n      assert subject == \"Erreurs détectées dans le jeu de données #{dataset.custom_title}\"\n\n      assert html =~\n               ~s(Des erreurs bloquantes ont été détectées dans votre jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a>)\n\n      assert html =~\n               ~s(<a href=\"http://127.0.0.1:5100/resources/#{geojson.id}\">#{geojson.title}</a>)\n    end)\n\n    # Checks no other emails have been sent\n    assert_no_email_sent()\n\n    # Logs have been saved\n    assert [\n             %DB.Notification{id: ^previous_notification_id},\n             %DB.Notification{\n               contact_id: ^producer_contact_id,\n               dataset_id: ^dataset_id,\n               role: :producer,\n               payload: %{\n                 \"resource_formats\" => [\"geojson\"],\n                 \"resource_ids\" => [^geojson_id],\n                 \"validator_name\" => ^geojson_validator_name,\n                 \"job_id\" => _,\n                 \"attempt\" => 1\n               },\n               notification_subscription_id: ^subscription_producer_id\n             }\n           ] = DB.Notification |> DB.Repo.all() |> Enum.sort_by(& &1.inserted_at, DateTime)\n\n    assert [\n             %Oban.Job{\n               args: %{\"dataset_id\" => ^dataset_id, \"multi_validation_ids\" => [^mv_id], \"attempt\" => 2},\n               worker: \"Transport.Jobs.MultiValidationWithErrorNotificationJob\",\n               state: \"scheduled\",\n               scheduled_at: scheduled_at\n             }\n           ] = all_enqueued()\n\n    assert_in_delta scheduled_at |> DateTime.to_unix(),\n                    DateTime.utc_now() |> DateTime.add(7, :day) |> DateTime.to_unix(),\n                    50\n  end\n\n  test \"perform for a job reenqueued, when validation is the same\" do\n    insert(:dataset)\n    %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n    %DB.Resource{id: geojson_id} = geojson = insert(:resource, dataset: dataset, format: \"geojson\")\n\n    %{id: mv_id} =\n      insert(:multi_validation, %{\n        resource_history: insert(:resource_history, resource: geojson),\n        validator: geojson_validator_name = Transport.Validators.JSONSchema.validator_name(),\n        result: %{\"has_errors\" => true}\n      })\n\n    %DB.Contact{id: producer_contact_id} = producer_contact = insert_contact()\n\n    %DB.NotificationSubscription{id: subscription_producer_id} =\n      insert(:notification_subscription, %{\n        reason: :dataset_with_error,\n        source: :admin,\n        role: :producer,\n        contact_id: producer_contact_id,\n        dataset_id: dataset.id\n      })\n\n    # Reuser is subscribed but should not receive the notification as this is\n    # the second attempt.\n    reuser_contact = insert_contact()\n\n    insert(:notification_subscription, %{\n      reason: :dataset_with_error,\n      source: :admin,\n      role: :reuser,\n      contact_id: reuser_contact.id,\n      dataset_id: dataset.id\n    })\n\n    assert :ok ==\n             perform_job(MultiValidationWithErrorNotificationJob, %{\n               dataset_id: dataset.id,\n               multi_validation_ids: [mv_id],\n               attempt: 2\n             })\n\n    assert_email_sent(fn %Swoosh.Email{to: to, subject: subject, html_body: html} ->\n      assert to == [{DB.Contact.display_name(producer_contact), producer_contact.email}]\n      assert subject == \"Erreurs détectées dans le jeu de données #{dataset.custom_title}\"\n\n      assert html =~\n               ~s(Des erreurs bloquantes ont été détectées dans votre jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a>)\n\n      assert html =~\n               ~s(<a href=\"http://127.0.0.1:5100/resources/#{geojson.id}\">#{geojson.title}</a>)\n    end)\n\n    assert [\n             %Oban.Job{\n               worker: \"Transport.Jobs.MultiValidationWithErrorNotificationJob\",\n               args: %{\"dataset_id\" => ^dataset_id, \"multi_validation_ids\" => [^mv_id], \"attempt\" => 3},\n               state: \"scheduled\",\n               scheduled_at: scheduled_at\n             }\n           ] = all_enqueued()\n\n    assert_in_delta scheduled_at |> DateTime.to_unix(),\n                    DateTime.utc_now() |> DateTime.add(7, :day) |> DateTime.to_unix(),\n                    50\n\n    assert [\n             %DB.Notification{\n               contact_id: ^producer_contact_id,\n               dataset_id: ^dataset_id,\n               role: :producer,\n               payload: %{\n                 \"resource_formats\" => [\"geojson\"],\n                 \"resource_ids\" => [^geojson_id],\n                 \"validator_name\" => ^geojson_validator_name,\n                 \"job_id\" => _,\n                 \"attempt\" => 2\n               },\n               notification_subscription_id: ^subscription_producer_id\n             }\n           ] = DB.Notification |> DB.Repo.all()\n  end\n\n  test \"email_addresses_already_sent\" do\n    dataset = insert(:dataset)\n    validator_name = Transport.Validators.GTFSTransport.validator_name()\n\n    %{\n      dataset: dataset,\n      role: :producer,\n      reason: :dataset_with_error,\n      email: \"foo@example.com\",\n      inserted_at: add_days(-6)\n    }\n    |> insert_notification()\n\n    # For a reuser\n    %{\n      dataset: dataset,\n      role: :reuser,\n      reason: :dataset_with_error,\n      email: \"baz@example.com\",\n      inserted_at: add_days(-6)\n    }\n    |> insert_notification()\n\n    # Too old\n    %{\n      dataset: dataset,\n      role: :producer,\n      reason: :dataset_with_error,\n      email: \"bar@example.com\",\n      inserted_at: add_days(-8)\n    }\n    |> insert_notification()\n\n    # Another reason\n    %{dataset: dataset, role: :producer, reason: :expiration, email: \"baz@example.com\", inserted_at: add_days(-6)}\n    |> insert_notification()\n\n    assert MapSet.new([\"baz@example.com\", \"foo@example.com\"]) ==\n             MultiValidationWithErrorNotificationJob.email_addresses_already_sent(dataset, validator_name)\n             |> MapSet.new()\n  end\n\n  defp add_days(days), do: DateTime.utc_now() |> DateTime.add(days, :day)\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/netex_poller_job_test.exs",
    "content": "defmodule Transport.Jobs.NeTExPollerJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import ExUnit.CaptureLog\n  import Mox\n  import Transport.Test.EnRouteChouetteValidClientHelpers\n\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_2, as: ResultsAdapter\n  alias Transport.Validators.NeTEx.Validator\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  @sample_error_messages [\n    %{\n      \"code\" => \"xsd-1871\",\n      \"criticity\" => \"error\",\n      \"message\" =>\n        \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\"\n    },\n    %{\n      \"code\" => \"uic-operating-period\",\n      \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n      \"criticity\" => \"error\"\n    },\n    %{\n      \"code\" => \"valid-day-bits\",\n      \"message\" => \"Mandatory attribute valid_day_bits not found\",\n      \"criticity\" => \"error\"\n    },\n    %{\n      \"code\" => \"frame-arret-resources\",\n      \"message\" => \"Tag frame_id doesn't match ''\",\n      \"criticity\" => \"warning\"\n    },\n    %{\n      \"message\" => \"Reference MOBIITI:Quay:104325 doesn't match any existing Resource\",\n      \"criticity\" => \"error\"\n    }\n  ]\n\n  test \"valid NeTEx\" do\n    resource_history = generate_resource_url() |> mk_netex_resource()\n\n    attempts = 5\n    duration = 12\n\n    validation_id = with_running_validation() |> expect_successful_validation(duration)\n\n    assert :ok == run_polling_job(resource_history, validation_id, attempts)\n\n    multi_validation = load_multi_validation(resource_history.id)\n\n    assert multi_validation.command == \"http://localhost:9999/chouette-valid/#{validation_id}\"\n    assert multi_validation.validator == \"enroute-chouette-netex-validator\"\n    assert multi_validation.validator_version == \"0.2.1\"\n    assert multi_validation.result == nil\n    assert multi_validation.digest == ResultsAdapter.digest(%{})\n    assert multi_validation.binary_result == ResultsAdapter.to_binary_result(%{})\n\n    assert %{\"retries\" => ^attempts, \"elapsed_seconds\" => ^duration, \"end_date\" => _} =\n             multi_validation.metadata.metadata\n  end\n\n  test \"invalid NeTEx\" do\n    resource_history = generate_resource_url() |> mk_netex_resource()\n\n    attempts = 5\n    duration = 12\n\n    validation_id = with_running_validation() |> expect_failed_validation(duration)\n\n    expect_get_messages(validation_id, @sample_error_messages)\n\n    assert :ok = run_polling_job(resource_history, validation_id, attempts)\n\n    multi_validation = load_multi_validation(resource_history.id)\n\n    assert multi_validation.command == \"http://localhost:9999/chouette-valid/#{validation_id}/messages\"\n    assert multi_validation.validator == \"enroute-chouette-netex-validator\"\n    assert multi_validation.validator_version == \"0.2.1\"\n\n    assert %{\"retries\" => ^attempts, \"elapsed_seconds\" => ^duration, \"end_date\" => _} =\n             multi_validation.metadata.metadata\n\n    assert multi_validation.result == nil\n\n    result = %{\n      \"xsd-schema\" => [\n        %{\n          \"code\" => \"xsd-1871\",\n          \"criticity\" => \"error\",\n          \"message\" =>\n            \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\"\n        }\n      ],\n      \"base-rules\" => [\n        %{\n          \"code\" => \"uic-operating-period\",\n          \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n          \"criticity\" => \"error\"\n        },\n        %{\n          \"code\" => \"valid-day-bits\",\n          \"message\" => \"Mandatory attribute valid_day_bits not found\",\n          \"criticity\" => \"error\"\n        },\n        %{\n          \"code\" => \"frame-arret-resources\",\n          \"message\" => \"Tag frame_id doesn't match ''\",\n          \"criticity\" => \"warning\"\n        },\n        %{\n          \"message\" => \"Reference MOBIITI:Quay:104325 doesn't match any existing Resource\",\n          \"criticity\" => \"error\"\n        }\n      ]\n    }\n\n    assert multi_validation.digest == ResultsAdapter.digest(result)\n    assert multi_validation.binary_result == ResultsAdapter.to_binary_result(result)\n  end\n\n  test \"pending validation\" do\n    resource_history = generate_resource_url() |> mk_netex_resource()\n\n    attempt = 5\n\n    validation_id = with_running_validation() |> expect_pending_validation()\n\n    assert {:snooze, Validator.poll_interval(attempt)} == run_polling_job(resource_history, validation_id, attempt)\n\n    assert nil == load_multi_validation(resource_history.id)\n  end\n\n  test \"too many attempts\" do\n    resource_history = generate_resource_url() |> mk_netex_resource()\n\n    attempt = 181\n\n    validation_id = with_running_validation() |> expect_pending_validation()\n\n    capture_log([level: :error], fn ->\n      assert :ok = run_polling_job(resource_history, validation_id, attempt)\n\n      assert nil == load_multi_validation(resource_history.id)\n    end) =~ \"Timeout while fetching results on enRoute Chouette Valid (resource_history_id: #{resource_history.id})\"\n  end\n\n  defp load_multi_validation(resource_history_id) do\n    DB.MultiValidation.base_query(include_binary_result: true)\n    |> DB.Repo.get_by(resource_history_id: resource_history_id)\n    |> DB.Repo.preload(:metadata)\n  end\n\n  defp mk_netex_resource(permanent_url) do\n    dataset = insert(:dataset)\n\n    resource = insert(:resource, dataset_id: dataset.id, format: \"NeTEx\")\n\n    insert(:resource_history, resource_id: resource.id, payload: %{\"permanent_url\" => permanent_url})\n  end\n\n  defp generate_resource_url do\n    \"http://localhost:9999/netex-#{Ecto.UUID.generate()}.zip\"\n  end\n\n  defp sample_metadata, do: %{\"end_date\" => Date.utc_today() |> Date.to_iso8601()}\n\n  defp run_polling_job(%DB.ResourceHistory{} = resource_history, validation_id, attempt) do\n    payload =\n      %{\n        \"resource_history_id\" => resource_history.id,\n        \"validation_id\" => validation_id,\n        \"metadata\" => sample_metadata()\n      }\n\n    perform_job(Transport.Jobs.NeTExPollerJob, payload, attempt: attempt)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/new_comments_notification_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.NewCommentsNotificationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.NewCommentsNotificationJob\n\n  setup :verify_on_exit!\n\n  doctest NewCommentsNotificationJob, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  describe \"relevant_datasets\" do\n    test \"a weekday excluding Monday\" do\n      # Ignored: inactive\n      insert(:dataset,\n        is_active: false,\n        is_hidden: false,\n        latest_data_gouv_comment_timestamp: ~U[2024-03-27 10:00:00.00Z]\n      )\n\n      # Ignored: hidden\n      insert(:dataset,\n        is_active: true,\n        is_hidden: true,\n        latest_data_gouv_comment_timestamp: ~U[2024-03-27 12:00:00.00Z]\n      )\n\n      # Ignored: more than a day old\n      insert(:dataset,\n        is_active: true,\n        is_hidden: false,\n        latest_data_gouv_comment_timestamp: ~U[2024-03-27 08:00:00.00Z]\n      )\n\n      %DB.Dataset{id: dataset_id} =\n        insert(:dataset,\n          is_active: true,\n          is_hidden: false,\n          latest_data_gouv_comment_timestamp: ~U[2024-03-27 10:00:00.00Z]\n        )\n\n      assert [%DB.Dataset{id: ^dataset_id}] =\n               ~U[2024-03-28 09:00:00.00Z] |> NewCommentsNotificationJob.relevant_datasets_query() |> DB.Repo.all()\n    end\n\n    test \"on a Monday\" do\n      # Ignored: inactive\n      insert(:dataset,\n        is_active: false,\n        is_hidden: false,\n        latest_data_gouv_comment_timestamp: ~U[2024-03-30 10:00:00.00Z]\n      )\n\n      # Ignored: hidden\n      insert(:dataset,\n        is_active: true,\n        is_hidden: true,\n        latest_data_gouv_comment_timestamp: ~U[2024-03-30 12:00:00.00Z]\n      )\n\n      # Ignored: more than 3 days old\n      insert(:dataset,\n        is_active: true,\n        is_hidden: false,\n        latest_data_gouv_comment_timestamp: ~U[2024-03-29 08:00:00.00Z]\n      )\n\n      %DB.Dataset{id: dataset_id} =\n        insert(:dataset,\n          is_active: true,\n          is_hidden: false,\n          latest_data_gouv_comment_timestamp: ~U[2024-03-29 10:00:00.00Z]\n        )\n\n      %DB.Dataset{id: other_dataset_id} =\n        insert(:dataset,\n          is_active: true,\n          is_hidden: false,\n          latest_data_gouv_comment_timestamp: ~U[2024-03-29 10:00:00.00Z]\n        )\n\n      assert [%DB.Dataset{id: ^dataset_id}, %DB.Dataset{id: ^other_dataset_id}] =\n               ~U[2024-04-01 09:00:00.00Z]\n               |> NewCommentsNotificationJob.relevant_datasets_query()\n               |> DB.Repo.all()\n               |> Enum.sort_by(& &1.id)\n    end\n  end\n\n  test \"relevant_contacts\" do\n    %DB.Contact{id: contact_id} = contact = insert_contact()\n    producer_contact = insert_contact()\n    follower_only_contact = insert_contact()\n    dataset = insert(:dataset, latest_data_gouv_comment_timestamp: ~U[2024-03-27 10:00:00.00Z])\n\n    insert(:dataset_follower, dataset_id: dataset.id, contact_id: contact_id, source: :datagouv)\n    insert(:notification_subscription, contact: contact, source: :user, reason: :daily_new_comments, role: :reuser)\n\n    # `producer_contact` is subscribed and does not follow the dataset\n    insert(:notification_subscription,\n      contact: producer_contact,\n      source: :user,\n      reason: :daily_new_comments,\n      role: :producer\n    )\n\n    # `follower_only_contact` follows the dataset but is not subscribed for the relevant reason\n    insert(:dataset_follower, dataset_id: dataset.id, contact_id: follower_only_contact.id, source: :datagouv)\n\n    insert(:notification_subscription,\n      contact: follower_only_contact,\n      dataset: dataset,\n      source: :user,\n      reason: :expiration,\n      role: :reuser\n    )\n\n    assert [%DB.Contact{id: ^contact_id}] = NewCommentsNotificationJob.relevant_contacts(~U[2024-03-28 09:00:00.00Z])\n  end\n\n  test \"enqueues jobs\" do\n    %DB.Contact{id: contact_id} = contact = insert_contact()\n\n    %DB.Dataset{id: dataset_id} =\n      insert(:dataset, latest_data_gouv_comment_timestamp: ~U[2024-03-27 10:00:00.00Z])\n\n    insert(:dataset_follower, dataset_id: dataset_id, contact_id: contact_id, source: :datagouv)\n    insert(:notification_subscription, contact: contact, source: :user, reason: :daily_new_comments, role: :reuser)\n\n    assert :ok == perform_job(NewCommentsNotificationJob, %{}, scheduled_at: ~U[2024-03-28 09:00:00.00Z])\n\n    assert [\n             %Oban.Job{\n               worker: \"Transport.Jobs.NewCommentsNotificationJob\",\n               args: %{\"contact_id\" => ^contact_id, \"dataset_ids\" => [^dataset_id]}\n             }\n           ] = all_enqueued()\n  end\n\n  test \"perform for a single contact\" do\n    %DB.Contact{id: contact_id, email: email} = contact = insert_contact()\n    other_followed_dataset = insert(:dataset)\n\n    %DB.Dataset{id: dataset1_id} =\n      dataset1 =\n      insert(:dataset, latest_data_gouv_comment_timestamp: ~U[2024-03-29 10:00:00.00Z])\n\n    %DB.Dataset{id: dataset2_id} =\n      dataset2 =\n      insert(:dataset, latest_data_gouv_comment_timestamp: ~U[2024-03-29 10:00:00.00Z])\n\n    %DB.Dataset{id: other_dataset_id} =\n      insert(:dataset, latest_data_gouv_comment_timestamp: ~U[2024-03-29 10:00:00.00Z])\n\n    # Identifies three datasets as relevant\n    assert [%DB.Dataset{id: ^dataset1_id}, %DB.Dataset{id: ^dataset2_id}, %DB.Dataset{id: ^other_dataset_id}] =\n             ~U[2024-04-01 09:00:00.00Z]\n             |> NewCommentsNotificationJob.relevant_datasets_query()\n             |> DB.Repo.all()\n             |> Enum.sort_by(& &1.id)\n\n    insert(:dataset_follower, dataset_id: dataset1_id, contact_id: contact_id, source: :datagouv)\n    insert(:dataset_follower, dataset_id: dataset2_id, contact_id: contact_id, source: :datagouv)\n    insert(:dataset_follower, dataset_id: other_followed_dataset.id, contact_id: contact_id, source: :datagouv)\n\n    %DB.NotificationSubscription{id: ns_id} =\n      insert(:notification_subscription,\n        contact_id: contact_id,\n        source: :user,\n        reason: :daily_new_comments,\n        role: :reuser\n      )\n\n    # Perform the job for a single contact\n    assert :ok ==\n             perform_job(NewCommentsNotificationJob, %{\n               \"contact_id\" => contact_id,\n               \"dataset_ids\" => [dataset1_id, dataset2_id, other_dataset_id]\n             })\n\n    # Email has been sent\n    display_name = DB.Contact.display_name(contact)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{^display_name, ^email}],\n                           reply_to: {\"\", \"contact@transport.data.gouv.fr\"},\n                           subject: \"Nouveaux commentaires sur transport.data.gouv.fr\",\n                           text_body: nil,\n                           html_body: html_body\n                         } ->\n      assert remove_whitespace(html_body) =~ remove_whitespace(~s|\n      <p>Bonjour,</p>\n\n      <p>\n        Des discussions ont eu lieu sur certains de vos jeux de données favoris. Vous pouvez prendre connaissance de ces échanges.\n      </p>\n\n      <ul>\n        <li>\n        <a href=\"http://127.0.0.1:5100/datasets/#{dataset1.slug}#dataset-discussions\">#{dataset1.custom_title}</a>\n        </li>\n        <li>\n        <a href=\"http://127.0.0.1:5100/datasets/#{dataset2.slug}#dataset-discussions\">#{dataset2.custom_title}</a>\n        </li>\n      </ul>\n\n      <p>L’équipe transport.data.gouv.fr</p>|)\n    end)\n\n    # Notification has been saved\n    assert [\n             %DB.Notification{\n               reason: :daily_new_comments,\n               role: :reuser,\n               dataset_id: nil,\n               email: ^email,\n               contact_id: ^contact_id,\n               payload: %{\"dataset_ids\" => [^dataset1_id, ^dataset2_id]},\n               notification_subscription_id: ^ns_id\n             }\n           ] =\n             DB.Notification |> DB.Repo.all()\n  end\n\n  defp remove_whitespace(value), do: value |> String.replace(~r/\\s/, \"\") |> String.trim()\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/new_datagouv_datasets_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.NewDatagouvDatasetsJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.NewDatagouvDatasetsJob\n\n  setup :verify_on_exit!\n\n  doctest NewDatagouvDatasetsJob, import: true\n\n  setup do\n    Sentry.Test.start_collecting_sentry_reports()\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"dataset_is_relevant?\" do\n    base = %{\"title\" => \"\", \"resources\" => [], \"tags\" => [], \"description\" => \"\"}\n\n    relevant_fn = fn dataset ->\n      NewDatagouvDatasetsJob.rules()\n      |> Enum.filter(&NewDatagouvDatasetsJob.dataset_is_relevant?(dataset, &1))\n      |> case do\n        [rule] -> rule\n        [_ | _] = rules -> Enum.sort_by(rules, & &1.category)\n        _ -> :no_match\n      end\n    end\n\n    assert [%{category: \"Freefloating\"}, %{category: \"Vélo et stationnements\"}] =\n             relevant_fn.(%{base | \"title\" => \"Vélos en libre service\"})\n\n    assert %{category: \"IRVE\"} = relevant_fn.(%{base | \"title\" => \"Borne de recharge Lidl\"})\n    assert %{category: \"Transport en commun\"} = relevant_fn.(%{base | \"title\" => \"GTFS de Dijon\"})\n    assert %{category: \"Transport en commun\"} = relevant_fn.(%{base | \"description\" => \"GTFS de Dijon\"})\n    assert %{category: \"Transport en commun\"} = relevant_fn.(%{base | \"tags\" => [Ecto.UUID.generate(), \"gtfs\"]})\n\n    assert %{category: \"Covoiturage et ZFE\"} =\n             relevant_fn.(%{base | \"description\" => \"Périmètre de la Zone à Faible Émission (ZFE) de Dijon Métropole.\"})\n\n    assert %{category: \"Freefloating\"} =\n             relevant_fn.(%{\n               base\n               | \"resources\" => [%{\"format\" => \"GBFS\", \"description\" => \"\"}]\n             })\n\n    assert %{category: \"Covoiturage et ZFE\"} =\n             relevant_fn.(%{\n               base\n               | \"resources\" => [\n                   %{\"format\" => \"csv\", \"schema\" => %{\"name\" => \"etalab/schema-zfe\"}, \"description\" => \"\"}\n                 ]\n             })\n\n    assert %{category: \"Transport en commun\"} =\n             relevant_fn.(%{\n               base\n               | \"resources\" => [%{\"format\" => \"csv\", \"description\" => \"Horaires des bus\"}]\n             })\n\n    assert :no_match == relevant_fn.(%{base | \"title\" => \"Résultat des élections\"})\n    # does not match on the word `velo` in the middle of the tag\n    assert :no_match == relevant_fn.(%{base | \"tags\" => [\"developpement-du-territoire\"]})\n\n    assert %{category: \"IRVE\"} =\n             relevant_fn.(%{\n               base\n               | \"resources\" => [\n                   %{\"format\" => \"csv\", \"schema\" => %{\"name\" => \"etalab/schema-irve-statique\"}, \"description\" => \"\"}\n                 ]\n             })\n\n    # Uses `ignore_dataset?/1` to ignore specific datasets\n    bdtopo_args =\n      Map.merge(base, %{\n        \"title\" => \"BDTOPO© - Chefs-Lieux pour le département de l'Eure-et-Loir\",\n        \"tags\" => [\"transport\"]\n      })\n\n    assert %{category: \"Transport en commun\"} = relevant_fn.(bdtopo_args)\n\n    assert :no_match == relevant_fn.(Map.merge(bdtopo_args, %{\"organization\" => %{\"id\" => \"5a83f81fc751df6f8573eb8a\"}}))\n  end\n\n  test \"filtered_datasets\" do\n    thursday_at_noon = ~U[2022-10-27 12:00:00Z]\n    friday_at_noon = ~U[2022-10-28 12:00:00Z]\n    saturday_at_noon = ~U[2022-10-29 12:00:00Z]\n    monday_night = ~U[2022-10-31 03:00:00Z]\n    monday_at_noon = ~U[2022-10-31 12:00:00Z]\n    tuesday_at_noon = ~U[2022-11-01 12:00:00Z]\n    wednesday_night = ~U[2022-11-02 03:00:00Z]\n\n    base = %{\n      \"title\" => \"\",\n      \"resources\" => [],\n      \"tags\" => [],\n      \"description\" => \"\",\n      \"internal\" => %{\"created_at_internal\" => DateTime.to_string(tuesday_at_noon)},\n      \"id\" => Ecto.UUID.generate()\n    }\n\n    insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate(), is_active: true)\n\n    created_on_thursday = %{\n      base\n      | \"internal\" => %{\"created_at_internal\" => DateTime.to_string(thursday_at_noon)},\n        \"title\" => \"GTFS de Dôle (jeudi)\"\n    }\n\n    created_on_friday = %{\n      base\n      | \"internal\" => %{\"created_at_internal\" => DateTime.to_string(friday_at_noon)},\n        \"title\" => \"GTFS de Dôle (vendredi)\"\n    }\n\n    created_on_friday_but_already_imported = %{\n      created_on_friday\n      | \"tags\" => [\"gbfs\"],\n        \"id\" => datagouv_id\n    }\n\n    created_on_saturday = %{\n      base\n      | \"internal\" => %{\"created_at_internal\" => DateTime.to_string(saturday_at_noon)},\n        \"title\" => \"GTFS de Besançon (samedi)\"\n    }\n\n    created_on_monday = %{\n      base\n      | \"internal\" => %{\"created_at_internal\" => DateTime.to_string(monday_at_noon)},\n        \"title\" => \"GTFS de Macon (lundi)\"\n    }\n\n    created_on_tuesday = %{base | \"title\" => \"GTFS de Dijon (mardi)\"}\n\n    created_on_tuesday_but_already_imported = %{\n      created_on_tuesday\n      | \"tags\" => [\"gbfs\"],\n        \"id\" => datagouv_id\n    }\n\n    datasets = [\n      created_on_thursday,\n      created_on_friday,\n      created_on_friday_but_already_imported,\n      created_on_saturday,\n      created_on_monday,\n      base,\n      created_on_tuesday,\n      created_on_tuesday_but_already_imported\n    ]\n\n    assert [true, true, true, true, true, false, true, true] ==\n             Enum.map(datasets, &dataset_is_relevant_for_any_rule?/1)\n\n    assert [created_on_tuesday] == matching_datasets_as_of(datasets, wednesday_night)\n\n    assert [created_on_friday, created_on_saturday] ==\n             matching_datasets_as_of(datasets, monday_night)\n  end\n\n  test \"rule_explanation\" do\n    assert \"<p>Règles utilisées pour identifier ces jeux de données :</p>\\n<ul>\\n  <li>Formats : netex</li>\\n  <li>Schémas : (vide)</li>\\n  <li>Mots-clés/tags : cassis, kir</li>\\n</ul>\\n\" ==\n             NewDatagouvDatasetsJob.rule_explanation(%{\n               schemas: MapSet.new([]),\n               tags: MapSet.new([\"kir\", \"cassis\"]),\n               formats: MapSet.new([\"netex\"])\n             })\n  end\n\n  describe \"perform\" do\n    test \"check_rules when schemas exist\" do\n      Transport.Schemas.Mock\n      |> expect(:transport_schemas, fn ->\n        NewDatagouvDatasetsJob.rules() |> Enum.flat_map(& &1.schemas) |> Map.new(fn schema -> {schema, true} end)\n      end)\n\n      assert :ok == perform_job(NewDatagouvDatasetsJob, %{\"check_rules\" => true})\n    end\n\n    test \"check_rules when a schema does not exist\" do\n      expect(Transport.Schemas.Mock, :transport_schemas, fn ->\n        %{\"404\" => true}\n      end)\n\n      assert :ok == perform_job(NewDatagouvDatasetsJob, %{\"check_rules\" => true})\n\n      sentry_events = Sentry.Test.pop_sentry_reports()\n\n      NewDatagouvDatasetsJob.rules()\n      |> Enum.reject(&Enum.empty?(&1.schemas))\n      |> Enum.zip(sentry_events)\n      |> Enum.each(fn {%{category: category}, event} ->\n        assert event.message.formatted =~ ~r|^Transport.Jobs.NewDatagouvDatasetsJob: `#{category}` has invalid schemas|\n      end)\n    end\n\n    test \"no datasets\" do\n      setup_datagouv_api_response([])\n\n      assert :ok == perform_job(NewDatagouvDatasetsJob, %{}, inserted_at: DateTime.utc_now())\n    end\n\n    test \"sends an email on Monday\" do\n      monday_night = ~U[2022-10-31 03:00:00Z]\n\n      test_email_sending(\n        monday_night,\n        ~s(Les jeux de données suivants ont été ajoutés sur data.gouv.fr dans les dernières 72h)\n      )\n    end\n\n    test \"sends an email on other weekday\" do\n      wednesday_night = ~U[2022-11-02 03:00:00Z]\n\n      test_email_sending(\n        wednesday_night,\n        ~s(Les jeux de données suivants ont été ajoutés sur data.gouv.fr dans les dernières 24h)\n      )\n    end\n\n    test \"sends multiple emails\" do\n      inserted_at = DateTime.utc_now()\n\n      base = %{\n        \"resources\" => [],\n        \"tags\" => [],\n        \"description\" => \"\",\n        \"internal\" => %{\n          \"created_at_internal\" => inserted_at |> DateTime.add(-23, :hour) |> DateTime.to_iso8601()\n        },\n        \"id\" => Ecto.UUID.generate(),\n        \"title\" => nil,\n        \"page\" => nil\n      }\n\n      datasets = [\n        %{base | \"title\" => \"GTFS de Dijon\", \"page\" => \"https://example.com/gtfs\"},\n        %{base | \"title\" => \"GBFS de Dijon\", \"page\" => \"https://example.com/gbfs\"}\n      ]\n\n      setup_datagouv_api_response(datasets)\n\n      assert :ok == perform_job(NewDatagouvDatasetsJob, %{}, inserted_at: inserted_at)\n\n      assert_email_sent(fn %Swoosh.Email{\n                             from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                             to: [{\"\", \"contact@transport.data.gouv.fr\"}],\n                             subject: \"Nouveaux jeux de données Freefloating à référencer - data.gouv.fr\",\n                             text_body: nil,\n                             html_body: body\n                           } ->\n        assert body =~ ~s(<a href=\"https://example.com/gbfs\">GBFS de Dijon</a>)\n      end)\n\n      assert_email_sent(fn %Swoosh.Email{\n                             from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                             to: [{\"\", \"contact@transport.data.gouv.fr\"}],\n                             subject: \"Nouveaux jeux de données Transport en commun à référencer - data.gouv.fr\",\n                             text_body: nil,\n                             html_body: body\n                           } ->\n        assert body =~ ~s(<a href=\"https://example.com/gtfs\">GTFS de Dijon</a>)\n      end)\n    end\n  end\n\n  defp matching_datasets_as_of(datasets, %DateTime{} = then) do\n    as_of(datasets, then)\n    |> NewDatagouvDatasetsJob.filtered_datasets(then)\n    |> Enum.filter(&dataset_is_relevant_for_any_rule?/1)\n  end\n\n  defp dataset_is_relevant_for_any_rule?(dataset) do\n    Enum.any?(NewDatagouvDatasetsJob.rules(), &NewDatagouvDatasetsJob.dataset_is_relevant?(dataset, &1))\n  end\n\n  defp as_of(datasets, %DateTime{} = then) do\n    Enum.reject(\n      datasets,\n      &NewDatagouvDatasetsJob.after_datetime?(get_in(&1, [\"internal\", \"created_at_internal\"]), then)\n    )\n  end\n\n  defp test_email_sending(%DateTime{} = inserted_at, expected_body) do\n    dataset = %{\n      \"title\" => \"GTFS de Dijon\",\n      \"resources\" => [],\n      \"tags\" => [],\n      \"description\" => \"\",\n      \"internal\" => %{\n        \"created_at_internal\" => inserted_at |> DateTime.add(-23, :hour) |> DateTime.to_iso8601()\n      },\n      \"page\" => \"https://example.com/link\",\n      \"id\" => Ecto.UUID.generate()\n    }\n\n    assert dataset_is_relevant_for_any_rule?(dataset)\n\n    setup_datagouv_api_response([dataset])\n\n    assert :ok == perform_job(NewDatagouvDatasetsJob, %{}, inserted_at: inserted_at)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{\"\", \"contact@transport.data.gouv.fr\"}],\n                           subject: \"Nouveaux jeux de données Transport en commun à référencer - data.gouv.fr\",\n                           text_body: nil,\n                           html_body: body\n                         } ->\n      assert body =~ ~s(<a href=\"#{dataset[\"page\"]}\">#{dataset[\"title\"]}</a>)\n      assert body =~ expected_body\n    end)\n  end\n\n  defp setup_datagouv_api_response(data) do\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn \"https://demo.data.gouv.fr/api/1/datasets/?sort=-created&page_size=500\",\n                        [],\n                        [timeout: 30_000, recv_timeout: 30_000] ->\n      %HTTPoison.Response{status_code: 200, body: Jason.encode!(%{\"data\" => data})}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/new_dataset_notifications_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.NewDatasetNotificationsJobTest do\n  # The trigger refresh_dataset_geographic_view_trigger makes this test\n  # unreliable in a concurrent setup.\n  use ExUnit.Case, async: false\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.NewDatasetNotificationsJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"relevant_datasets\" do\n    %{id: d1_id} = insert(:dataset, inserted_at: hours_ago(23), is_active: true)\n    %{id: d2_id} = insert(:dataset, inserted_at: hours_ago(1), is_active: true)\n    # Too old\n    insert(:dataset, inserted_at: hours_ago(25), is_active: true)\n    # Inactive\n    insert(:dataset, inserted_at: hours_ago(5), is_active: false)\n    # Hidden\n    insert(:dataset, inserted_at: hours_ago(5), is_active: true, is_hidden: true)\n\n    assert [%DB.Dataset{id: ^d1_id}, %DB.Dataset{id: ^d2_id}] =\n             DateTime.utc_now() |> NewDatasetNotificationsJob.relevant_datasets() |> Enum.sort(&(&1.id < &2.id))\n  end\n\n  test \"perform\" do\n    {contact, contact_id, email, ns_id} = insert_contact_and_notification_subscription()\n\n    %DB.Dataset{id: dataset_id} =\n      dataset = insert(:dataset, inserted_at: hours_ago(23), is_active: true, type: \"public-transit\")\n\n    assert :ok == perform_job(NewDatasetNotificationsJob, %{}, inserted_at: DateTime.utc_now())\n\n    assert_email_sent(\n      from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n      to: {DB.Contact.display_name(contact), email},\n      subject: \"Nouveaux jeux de données référencés\",\n      text_body: nil,\n      html_body:\n        ~r|<li><a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a> - \\(Transport public collectif\\)</li>|\n    )\n\n    # Logs have been saved\n    assert [\n             %DB.Notification{\n               contact_id: ^contact_id,\n               email: ^email,\n               reason: :new_dataset,\n               role: :reuser,\n               dataset_id: nil,\n               notification_subscription_id: ^ns_id,\n               payload: %{\"dataset_ids\" => [^dataset_id]}\n             }\n           ] =\n             DB.Notification |> DB.Repo.all()\n  end\n\n  test \"no datasets\" do\n    insert_contact_and_notification_subscription()\n\n    assert :ok == perform_job(NewDatasetNotificationsJob, %{}, inserted_at: DateTime.utc_now())\n\n    assert_no_email_sent()\n  end\n\n  defp hours_ago(hours) when hours > 0 do\n    DateTime.utc_now() |> DateTime.add(-hours * 60 * 60, :second)\n  end\n\n  defp insert_contact_and_notification_subscription do\n    %DB.Contact{id: contact_id, email: email} = contact = insert_contact()\n\n    %DB.NotificationSubscription{id: ns_id} =\n      insert(:notification_subscription, %{\n        reason: :new_dataset,\n        source: :user,\n        role: :reuser,\n        contact_id: contact_id\n      })\n\n    {contact, contact_id, email, ns_id}\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/notification_subscription_producer_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.NotificationSubscriptionProducerJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.NotificationSubscriptionProducerJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"updates relevant notification subscriptions\" do\n    %DB.Contact{id: reuser_id} = insert_contact()\n\n    %DB.Contact{id: producer_id} =\n      insert_contact(%{\n        organizations: [\n          %{\n            \"acronym\" => nil,\n            \"badges\" => [],\n            \"id\" => org_id = Ecto.UUID.generate(),\n            \"logo\" => \"https://example.com/original.png\",\n            \"logo_thumbnail\" => \"https://example.com/100.png\",\n            \"name\" => \"Big Corp\",\n            \"slug\" => \"foo\"\n          }\n        ]\n      })\n\n    %DB.Dataset{id: dataset_id} = insert(:dataset, organization_id: org_id)\n\n    insert(:notification_subscription, %{\n      reason: :expiration,\n      source: :admin,\n      dataset_id: dataset_id,\n      contact_id: reuser_id,\n      role: :reuser\n    })\n\n    # Should be deleted: the contact is a producer for this dataset and\n    # the subscription's role is set to `reuser`.\n    # We should create subscriptions for this (contact_id, dataset_id) for all\n    # producer reasons\n    insert(:notification_subscription, %{\n      reason: :expiration,\n      source: :admin,\n      dataset_id: dataset_id,\n      contact_id: producer_id,\n      role: :reuser\n    })\n\n    # Should be left untouched: this is a platform-wide reason\n    insert(:notification_subscription, %{\n      reason: :new_dataset,\n      source: :admin,\n      dataset_id: nil,\n      contact_id: producer_id,\n      role: :reuser\n    })\n\n    assert :ok == perform_job(NotificationSubscriptionProducerJob, %{})\n\n    assert [\n             %DB.NotificationSubscription{\n               reason: :expiration,\n               source: :admin,\n               role: :reuser,\n               contact_id: ^reuser_id,\n               dataset_id: ^dataset_id\n             },\n             %DB.NotificationSubscription{\n               role: :producer,\n               reason: :dataset_with_error,\n               source: :\"automation:migrate_from_reuser_to_producer\",\n               contact_id: ^producer_id,\n               dataset_id: ^dataset_id\n             },\n             %DB.NotificationSubscription{\n               reason: :expiration,\n               source: :\"automation:migrate_from_reuser_to_producer\",\n               role: :producer,\n               contact_id: ^producer_id,\n               dataset_id: ^dataset_id\n             },\n             %DB.NotificationSubscription{\n               reason: :new_dataset,\n               source: :admin,\n               role: :reuser,\n               contact_id: ^producer_id,\n               dataset_id: nil\n             },\n             %DB.NotificationSubscription{\n               reason: :resource_unavailable,\n               source: :\"automation:migrate_from_reuser_to_producer\",\n               role: :producer,\n               contact_id: ^producer_id,\n               dataset_id: ^dataset_id\n             }\n           ] =\n             DB.NotificationSubscription |> DB.Repo.all() |> Enum.sort_by(&{&1.contact_id, &1.reason})\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/oban_logger_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ObanLoggerJobTag do\n  use Oban.Worker\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    {:error, \"failed\"}\n  end\nend\n\ndefmodule Transport.Test.Transport.Jobs.ObanLoggerTest do\n  use ExUnit.Case, async: true\n  @moduletag :capture_log\n  use Oban.Testing, repo: DB.Repo\n  import Swoosh.TestAssertions\n\n  setup do\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"sends an email on failure if the appropriate tag is set\" do\n    assert {:error, \"failed\"} ==\n             perform_job(Transport.Test.Transport.Jobs.ObanLoggerJobTag, %{}, tags: [])\n\n    # When the specific tag is set, an email should be sent\n\n    # Should not be sent when not trying for the last time\n    assert {:error, \"failed\"} ==\n             perform_job(Transport.Test.Transport.Jobs.ObanLoggerJobTag, %{},\n               tags: [Transport.Jobs.ObanLogger.email_on_failure_tag()],\n               attempt: 1,\n               max_attempts: 2\n             )\n\n    assert_no_email_sent()\n\n    # Should be sent when failing at the last attempt\n    assert {:error, \"failed\"} ==\n             perform_job(Transport.Test.Transport.Jobs.ObanLoggerJobTag, %{},\n               tags: [Transport.Jobs.ObanLogger.email_on_failure_tag()],\n               attempt: 2,\n               max_attempts: 2\n             )\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{\"\", \"tech@transport.data.gouv.fr\"}],\n                           subject: \"Échec de job Oban : Transport.Test.Transport.Jobs.ObanLoggerJobTag\",\n                           html_body: html\n                         } ->\n      assert html =~\n               \"Un job Oban Transport.Test.Transport.Jobs.ObanLoggerJobTag vient d’échouer, il serait bien d’investiguer.\"\n    end)\n  end\n\n  test \"oban default logger is set up for important components\" do\n    registered_handlers =\n      Enum.filter(:telemetry.list_handlers([]), &(&1.id == Oban.Telemetry.default_handler_id()))\n\n    refute Enum.empty?(registered_handlers)\n\n    components =\n      registered_handlers\n      |> Enum.map(fn %{event_name: event_name} -> Enum.at(event_name, 1) end)\n      |> MapSet.new()\n\n    assert MapSet.new(~w(notifier plugin peer queue stager)a) == MapSet.new(components)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/on_demand_netex_poller_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.OnDemandNeTExPollerJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import ExUnit.CaptureLog\n  import Mox\n  import Transport.Test.EnRouteChouetteValidClientHelpers\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_2, as: ResultsAdapter\n  alias Transport.Validators.NeTEx.Validator\n\n  setup :verify_on_exit!\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  @filename \"file.zip\"\n\n  defp sample_metadata, do: %{\"end_date\" => Date.utc_today() |> Date.to_iso8601()}\n\n  test \"still pending\" do\n    attempt = 1\n    validation = create_validation(%{\"type\" => \"netex\"})\n\n    validation_id = with_running_validation() |> expect_pending_validation()\n\n    snooze_duration = Validator.poll_interval(attempt)\n\n    assert {:snooze, ^snooze_duration} = run_polling_job(validation, validation_id, sample_metadata(), attempt)\n\n    assert %{\n             data_vis: nil,\n             max_error: nil,\n             metadata: nil,\n             oban_args: %{\"state\" => \"waiting\", \"type\" => \"netex\"},\n             result: nil,\n             binary_result: nil,\n             digest: nil\n           } = validation |> reload_validation()\n  end\n\n  test \"too many attempts\" do\n    validation = create_validation(%{\"type\" => \"netex\"})\n\n    validation_id = with_running_validation() |> expect_pending_validation()\n\n    assert capture_log([level: :error], fn ->\n             assert :ok == run_polling_job(validation, validation_id, sample_metadata(), 181)\n\n             assert %{\n                      data_vis: nil,\n                      metadata: %DB.ResourceMetadata{metadata: nil},\n                      oban_args: %{\n                        \"state\" => \"error\",\n                        \"type\" => \"netex\",\n                        \"error_reason\" => \"enRoute Chouette Valid: Timeout while fetching results\"\n                      },\n                      result: nil,\n                      binary_result: nil,\n                      digest: nil,\n                      validation_timestamp: date,\n                      validator: \"enroute-chouette-netex-validator\",\n                      validator_version: \"0.2.1\"\n                    } = validation |> reload_validation()\n\n             assert DateTime.diff(date, DateTime.utc_now()) <= 1\n           end) =~ \"Timeout while fetching result\"\n  end\n\n  test \"completed\" do\n    validation = create_validation(%{\"type\" => \"netex\"})\n\n    validation_id = with_running_validation() |> expect_valid_netex()\n\n    assert :ok == run_polling_job(validation, validation_id, sample_metadata())\n\n    assert %{\n             data_vis: nil,\n             max_error: \"NoError\",\n             metadata: %DB.ResourceMetadata{metadata: %{\"end_date\" => _}},\n             oban_args: %{\"state\" => \"completed\", \"type\" => \"netex\"},\n             result: %{},\n             binary_result: binary_result,\n             digest: digest,\n             validation_timestamp: date,\n             validator: \"enroute-chouette-netex-validator\",\n             validator_version: \"0.2.1\"\n           } = validation |> reload_validation()\n\n    assert DateTime.diff(date, DateTime.utc_now()) <= 1\n    assert ResultsAdapter.to_binary_result(%{}) == binary_result\n    assert ResultsAdapter.digest(%{}) == digest\n  end\n\n  test \"error\" do\n    validation = create_validation(%{\"type\" => \"netex\"})\n\n    errors = [\n      %{\n        \"code\" => \"xsd-1871\",\n        \"criticity\" => \"error\",\n        \"message\" =>\n          \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\"\n      },\n      %{\n        \"code\" => \"uic-operating-period\",\n        \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n        \"criticity\" => \"error\"\n      },\n      %{\n        \"code\" => \"valid-day-bits\",\n        \"message\" => \"Mandatory attribute valid_day_bits not found\",\n        \"criticity\" => \"error\"\n      },\n      %{\n        \"code\" => \"frame-arret-resources\",\n        \"message\" => \"Tag frame_id doesn't match ''\",\n        \"criticity\" => \"warning\"\n      }\n    ]\n\n    validation_id = with_running_validation() |> expect_netex_with_errors(errors)\n\n    assert :ok == run_polling_job(validation, validation_id, sample_metadata())\n\n    assert %{\n             data_vis: nil,\n             max_error: \"error\",\n             metadata: %DB.ResourceMetadata{metadata: %{\"end_date\" => _}},\n             oban_args: %{\"state\" => \"completed\", \"type\" => \"netex\"},\n             result: result,\n             binary_result: binary_result,\n             digest: digest,\n             validation_timestamp: date\n           } = validation |> reload_validation()\n\n    assert %{\"xsd-schema\" => a1, \"base-rules\" => a2} = result\n    assert ResultsAdapter.to_binary_result(result) == binary_result\n    assert ResultsAdapter.digest(result) == digest\n\n    assert length(a1) == 1\n    assert length(a2) == 3\n\n    assert DateTime.diff(date, DateTime.utc_now()) <= 1\n  end\n\n  defp create_validation(details) do\n    oban_args =\n      details\n      |> Map.merge(%{\"filename\" => @filename, \"permanent_url\" => mk_url(), \"state\" => \"waiting\"})\n\n    insert(:multi_validation, oban_args: oban_args)\n  end\n\n  defp mk_url, do: \"http://localhost:9999/netex-#{Ecto.UUID.generate()}.zip\"\n\n  defp expect_valid_netex(validation_id), do: expect_successful_validation(validation_id, 180)\n\n  defp expect_netex_with_errors(validation_id, messages) do\n    expect_failed_validation(validation_id, 10)\n\n    expect_get_messages(validation_id, messages)\n  end\n\n  defp run_polling_job(%DB.MultiValidation{} = validation, validation_id, metadata, attempt \\\\ 1) do\n    payload =\n      validation.oban_args\n      |> Map.merge(%{\"id\" => validation.id, \"validation_id\" => validation_id, \"metadata\" => metadata})\n\n    perform_job(Transport.Jobs.OnDemandNeTExPollerJob, payload, attempt: attempt)\n  end\n\n  defp reload_validation(validation) do\n    DB.MultiValidation.base_query(include_result: true, include_binary_result: true)\n    |> DB.Repo.get!(validation.id)\n    |> DB.Repo.preload(:metadata)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/on_demand_validation_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.OnDemandValidationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  import Transport.Test.EnRouteChouetteValidClientHelpers\n  import Transport.Test.S3TestUtils\n  alias Transport.Jobs.OnDemandValidationJob\n  alias Transport.Validators.GTFSRT\n\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_2, as: ResultsAdapter\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.DataVisualization.Mock, Transport.DataVisualization.Impl)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  @url \"https://example.com/file.zip\"\n  @filename \"file.zip\"\n  @gtfs_rt_report_path \"#{__DIR__}/../../fixture/files/gtfs-rt-validator-errors.json\"\n  @validator_filename \"gtfs-realtime-validator-lib-1.0.0-SNAPSHOT.jar\"\n\n  describe \"OnDemandValidationJob\" do\n    test \"with a GTFS\" do\n      validation = create_validation(%{\"type\" => \"gtfs\"})\n\n      Shared.Validation.Validator.Mock\n      |> expect(:validate_from_url, fn url ->\n        assert url == @url\n\n        {:ok,\n         %{\n           \"validations\" => %{},\n           \"metadata\" => %{\n             \"start_date\" => \"2021-12-04\",\n             \"end_date\" => \"2022-04-24\",\n             \"modes\" => [\"bus\"],\n             \"networks\" => [\"Autocars RESALP\"]\n           }\n         }}\n      end)\n\n      s3_mocks_delete_object(Transport.S3.bucket_name(:on_demand_validation), @filename)\n\n      assert :ok == run_job(validation)\n\n      assert %{\n               validation_timestamp: date,\n               result: %{},\n               digest: %{\n                 \"issues\" => [],\n                 \"max_severity\" => %{\"max_level\" => \"NoError\", \"worst_occurrences\" => 0},\n                 \"stats\" => %{},\n                 \"summary\" => []\n               },\n               oban_args: %{\"state\" => \"completed\", \"type\" => \"gtfs\"},\n               metadata: %{metadata: %{\"modes\" => [\"bus\"]}},\n               data_vis: %{}\n             } = validation |> reload() |> DB.Repo.preload(:metadata)\n\n      assert DateTime.diff(date, DateTime.utc_now()) <= 1\n    end\n\n    test \"GTFS with an error\" do\n      validation = create_validation(%{\"type\" => \"gtfs\"})\n\n      Shared.Validation.Validator.Mock\n      |> expect(:validate_from_url, fn url ->\n        assert url == @url\n        {:error, \"something happened\"}\n      end)\n\n      s3_mocks_delete_object(Transport.S3.bucket_name(:on_demand_validation), @filename)\n\n      assert :ok == run_job(validation)\n\n      assert %{\n               result: nil,\n               oban_args: %{\n                 \"state\" => \"error\",\n                 \"error_reason\" => \"something happened\",\n                 \"type\" => \"gtfs\"\n               },\n               data_vis: nil\n             } = reload(validation)\n    end\n\n    test \"with a GTFS-Flex\" do\n      validation = create_validation(%{\"type\" => \"gtfs-flex\"})\n\n      job_id = Ecto.UUID.generate()\n      report_html_url = \"https://example.com/#{job_id}/report.html\"\n      version = \"4.2.0\"\n\n      expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :create_a_validation, fn url ->\n        assert url == @url\n        job_id\n      end)\n\n      expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :get_a_validation, fn ^job_id ->\n        notices = [\n          %{\n            \"code\" => \"unusable_trip\",\n            \"severity\" => \"WARNING\",\n            \"totalNotices\" => 2,\n            \"sampleNotices\" => [%{\"foo\" => \"bar\"}]\n          }\n        ]\n\n        report = %{\n          \"summary\" => %{\n            \"validatorVersion\" => version,\n            \"counts\" => %{\"Stops\" => 1337},\n            \"agencies\" => [%{\"url\" => \"https://example.com/agency\", \"name\" => \"Agency\"}],\n            \"feedInfo\" => %{\"feedServiceWindowStart\" => \"2025-01-01\", \"feedServiceWindowEnd\" => \"2025-02-01\"},\n            \"gtfsFeatures\" => [\"Continuous Stops\", \"Bike Allowed\"]\n          },\n          \"notices\" => notices\n        }\n\n        {:successful, report}\n      end)\n\n      expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :report_html_url, fn ^job_id ->\n        report_html_url\n      end)\n\n      s3_mocks_delete_object(Transport.S3.bucket_name(:on_demand_validation), @filename)\n\n      assert :ok == run_job(validation)\n\n      assert %{\n               validated_data_name: \"https://example.com/file.zip\",\n               validator: \"MobilityData GTFS Validator\",\n               validator_version: \"4.2.0\",\n               validation_timestamp: date,\n               digest: %{\n                 \"max_severity\" => %{\"max_level\" => \"WARNING\", \"worst_occurrences\" => 2},\n                 \"stats\" => %{\"WARNING\" => 2},\n                 \"summary\" => [%{\"code\" => \"unusable_trip\", \"severity\" => \"WARNING\", \"totalNotices\" => 2}]\n               },\n               result: %{\n                 \"notices\" => [\n                   %{\n                     \"code\" => \"unusable_trip\",\n                     \"sampleNotices\" => [%{\"foo\" => \"bar\"}],\n                     \"severity\" => \"WARNING\",\n                     \"totalNotices\" => 2\n                   }\n                 ],\n                 \"summary\" => %{\n                   \"agencies\" => [%{\"name\" => \"Agency\", \"url\" => \"https://example.com/agency\"}],\n                   \"counts\" => %{\"Stops\" => 1337},\n                   \"feedInfo\" => %{\"feedServiceWindowEnd\" => \"2025-02-01\", \"feedServiceWindowStart\" => \"2025-01-01\"},\n                   \"gtfsFeatures\" => [\"Continuous Stops\", \"Bike Allowed\"],\n                   \"validatorVersion\" => \"4.2.0\"\n                 }\n               },\n               oban_args: %{\n                 \"state\" => \"completed\",\n                 \"type\" => \"gtfs-flex\",\n                 \"filename\" => \"file.zip\",\n                 \"permanent_url\" => \"https://example.com/file.zip\"\n               },\n               max_error: \"WARNING\",\n               metadata: %DB.ResourceMetadata{\n                 features: [\"Continuous Stops\", \"Bike Allowed\"],\n                 metadata: %{\n                   \"agencies\" => [%{\"name\" => \"Agency\", \"url\" => \"https://example.com/agency\"}],\n                   \"counts\" => %{\"Stops\" => 1337},\n                   \"end_date\" => \"2025-02-01\",\n                   \"feedInfo\" => %{\"feedServiceWindowEnd\" => \"2025-02-01\", \"feedServiceWindowStart\" => \"2025-01-01\"},\n                   \"start_date\" => \"2025-01-01\"\n                 }\n               }\n             } = validation |> reload() |> DB.Repo.preload(:metadata)\n\n      assert DateTime.diff(date, DateTime.utc_now()) <= 1\n    end\n\n    test \"with a tableschema\" do\n      schema_name = \"etalab/foo\"\n      validation_result = %{\"errors_count\" => 0, \"has_errors\" => false, \"errors\" => []}\n\n      validation = create_validation(%{\"type\" => \"tableschema\", \"schema_name\" => schema_name})\n\n      Transport.Validators.TableSchema.Mock\n      |> expect(:validate, fn ^schema_name, url ->\n        assert url == @url\n        validation_result\n      end)\n\n      s3_mocks_delete_object(Transport.S3.bucket_name(:on_demand_validation), @filename)\n\n      assert :ok == run_job(validation)\n\n      assert %{\n               result: ^validation_result,\n               digest: %{\"errors_count\" => 0},\n               oban_args: %{\n                 \"state\" => \"completed\",\n                 \"type\" => \"tableschema\",\n                 \"schema_name\" => ^schema_name\n               },\n               data_vis: nil,\n               validator: \"validata-api\"\n             } = reload(validation)\n    end\n\n    test \"with a jsonschema\" do\n      schema_name = \"etalab/foo\"\n      validation_result = %{\"errors_count\" => 0, \"has_errors\" => false, \"errors\" => []}\n\n      validation = create_validation(%{\"type\" => \"jsonschema\", \"schema_name\" => schema_name})\n\n      Transport.Validators.JSONSchema.Mock\n      |> expect(:load_jsonschema_for_schema, fn ^schema_name ->\n        %ExJsonSchema.Schema.Root{\n          schema: %{\"properties\" => %{\"name\" => %{\"type\" => \"string\"}}, \"required\" => [\"name\"], \"type\" => \"object\"},\n          version: 7\n        }\n      end)\n\n      Transport.Validators.JSONSchema.Mock\n      |> expect(:validate, fn _schema, url ->\n        assert url == @url\n        validation_result\n      end)\n\n      s3_mocks_delete_object(Transport.S3.bucket_name(:on_demand_validation), @filename)\n\n      assert :ok == run_job(validation)\n\n      assert %{\n               result: ^validation_result,\n               digest: %{\"errors_count\" => 0},\n               oban_args: %{\n                 \"state\" => \"completed\",\n                 \"type\" => \"jsonschema\",\n                 \"schema_name\" => ^schema_name\n               },\n               data_vis: nil,\n               validator: \"EXJSONSchema\"\n             } = reload(validation)\n    end\n\n    test \"jsonschema with an exception raised\" do\n      schema_name = \"etalab/foo\"\n\n      validation = create_validation(%{\"type\" => \"jsonschema\", \"schema_name\" => schema_name})\n\n      Transport.Validators.JSONSchema.Mock\n      |> expect(:load_jsonschema_for_schema, fn ^schema_name ->\n        raise \"not a valid schema\"\n      end)\n\n      s3_mocks_delete_object(Transport.S3.bucket_name(:on_demand_validation), @filename)\n\n      assert :ok == run_job(validation)\n\n      assert %{\n               result: nil,\n               digest: nil,\n               oban_args: %{\n                 \"state\" => \"error\",\n                 \"type\" => \"jsonschema\",\n                 \"schema_name\" => ^schema_name\n               },\n               data_vis: nil,\n               validator: \"validator\"\n             } = reload(validation)\n    end\n\n    test \"with a gtfs-rt\" do\n      gtfs_url = \"https://example.com/gtfs.zip\"\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n      validation = create_validation(%{\"type\" => \"gtfs-rt\", \"gtfs_url\" => gtfs_url, \"gtfs_rt_url\" => gtfs_rt_url})\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^gtfs_url, [], _ ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"gtfs\"}}\n      end)\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^gtfs_rt_url, [], _ ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"gtfs-rt\"}}\n      end)\n\n      gtfs_path = OnDemandValidationJob.filename(validation.id, \"gtfs\")\n      gtfs_rt_path = OnDemandValidationJob.filename(validation.id, \"gtfs-rt\")\n\n      Transport.Rambo.Mock\n      |> expect(:run, fn binary, args, [log: false] ->\n        assert binary == \"java\"\n        assert File.exists?(gtfs_path)\n        assert File.exists?(gtfs_rt_path)\n\n        assert [\n                 \"-jar\",\n                 validator_path(),\n                 \"-gtfs\",\n                 gtfs_path,\n                 \"-gtfsRealtimePath\",\n                 Path.dirname(gtfs_rt_path)\n               ] == args\n\n        File.write!(OnDemandValidationJob.gtfs_rt_result_path(gtfs_rt_path), File.read!(@gtfs_rt_report_path))\n        {:ok, nil}\n      end)\n\n      assert :ok == run_job(validation)\n\n      {:ok, expected_details} = GTFSRT.convert_validator_report(@gtfs_rt_report_path)\n\n      assert %{\n               result: ^expected_details,\n               digest: %{\"errors_count\" => 4, \"warnings_count\" => 26},\n               oban_args: %{\n                 \"state\" => \"completed\",\n                 \"type\" => \"gtfs-rt\",\n                 \"gtfs_url\" => ^gtfs_url,\n                 \"gtfs_rt_url\" => ^gtfs_rt_url\n               },\n               data_vis: nil\n             } = reload(validation)\n\n      refute File.exists?(gtfs_path)\n      refute File.exists?(gtfs_rt_path)\n      refute File.exists?(OnDemandValidationJob.gtfs_rt_result_path(gtfs_rt_path))\n    end\n\n    test \"with a gtfs-rt, cannot download GTFS\" do\n      gtfs_url = \"https://example.com/gtfs.zip\"\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n      validation = create_validation(%{\"type\" => \"gtfs-rt\", \"gtfs_url\" => gtfs_url, \"gtfs_rt_url\" => gtfs_rt_url})\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^gtfs_url, [], _ ->\n        {:ok, %HTTPoison.Response{status_code: 404}}\n      end)\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^gtfs_rt_url, [], _ ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"gtfs-rt\"}}\n      end)\n\n      assert :ok == run_job(validation)\n\n      expected_error_reason = \"Got a non 200 status: 404 when downloading #{gtfs_url}\"\n\n      assert %{\n               result: nil,\n               digest: %{},\n               oban_args: %{\n                 \"state\" => \"error\",\n                 \"error_reason\" => ^expected_error_reason,\n                 \"type\" => \"gtfs-rt\",\n                 \"gtfs_url\" => ^gtfs_url,\n                 \"gtfs_rt_url\" => ^gtfs_rt_url\n               },\n               data_vis: nil\n             } = reload(validation)\n\n      gtfs_path = OnDemandValidationJob.filename(validation.id, \"gtfs\")\n      gtfs_rt_path = OnDemandValidationJob.filename(validation.id, \"gtfs-rt\")\n      refute File.exists?(gtfs_path)\n      refute File.exists?(gtfs_rt_path)\n    end\n\n    test \"with a gtfs-rt, validator error\" do\n      gtfs_url = \"https://example.com/gtfs.zip\"\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n      validation = create_validation(%{\"type\" => \"gtfs-rt\", \"gtfs_url\" => gtfs_url, \"gtfs_rt_url\" => gtfs_rt_url})\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^gtfs_url, [], _ ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"gtfs\"}}\n      end)\n\n      gtfs_path = OnDemandValidationJob.filename(validation.id, \"gtfs\")\n      gtfs_rt_path = OnDemandValidationJob.filename(validation.id, \"gtfs-rt\")\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^gtfs_rt_url, [], _ ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"gtfs-rt\"}}\n      end)\n\n      Transport.Rambo.Mock\n      |> expect(:run, fn binary, args, [log: false] ->\n        assert binary == \"java\"\n        assert File.exists?(gtfs_path)\n        assert File.exists?(gtfs_rt_path)\n\n        assert [\n                 \"-jar\",\n                 validator_path(),\n                 \"-gtfs\",\n                 gtfs_path,\n                 \"-gtfsRealtimePath\",\n                 Path.dirname(gtfs_rt_path)\n               ] == args\n\n        {:error, \"validator error\"}\n      end)\n\n      assert :ok == run_job(validation)\n\n      assert %{\n               result: nil,\n               digest: %{},\n               oban_args: %{\n                 \"state\" => \"error\",\n                 \"error_reason\" => ~s(\"validator error\"),\n                 \"type\" => \"gtfs-rt\",\n                 \"gtfs_url\" => ^gtfs_url,\n                 \"gtfs_rt_url\" => ^gtfs_rt_url\n               },\n               data_vis: nil\n             } = reload(validation)\n\n      refute File.exists?(gtfs_path)\n      refute File.exists?(gtfs_rt_path)\n    end\n\n    test \"with a gtfs-rt, validation fails, retries without shapes\" do\n      gtfs_url = \"https://example.com/gtfs.zip\"\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n      validation = create_validation(%{\"type\" => \"gtfs-rt\", \"gtfs_url\" => gtfs_url, \"gtfs_rt_url\" => gtfs_rt_url})\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^gtfs_url, [], _ ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"gtfs\"}}\n      end)\n\n      gtfs_path = OnDemandValidationJob.filename(validation.id, \"gtfs\")\n      gtfs_rt_path = OnDemandValidationJob.filename(validation.id, \"gtfs-rt\")\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^gtfs_rt_url, [], _ ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"gtfs-rt\"}}\n      end)\n\n      Transport.Rambo.Mock\n      |> expect(:run, fn binary, args, [log: false] ->\n        assert binary == \"java\"\n        assert File.exists?(gtfs_path)\n        assert File.exists?(gtfs_rt_path)\n\n        assert [\n                 \"-jar\",\n                 validator_path(),\n                 \"-gtfs\",\n                 gtfs_path,\n                 \"-gtfsRealtimePath\",\n                 Path.dirname(gtfs_rt_path)\n               ] == args\n\n        {:error, \"Exception in thread main java.lang.OutOfMemoryError: Java heap space\"}\n      end)\n\n      Transport.Rambo.Mock\n      |> expect(:run, fn binary, args, [log: false] ->\n        assert binary == \"java\"\n        assert File.exists?(gtfs_path)\n        assert File.exists?(gtfs_rt_path)\n\n        assert [\n                 \"-jar\",\n                 validator_path(),\n                 \"-ignoreShapes\",\n                 \"yes\",\n                 \"-gtfs\",\n                 gtfs_path,\n                 \"-gtfsRealtimePath\",\n                 Path.dirname(gtfs_rt_path)\n               ] == args\n\n        File.write!(OnDemandValidationJob.gtfs_rt_result_path(gtfs_rt_path), File.read!(@gtfs_rt_report_path))\n        {:ok, nil}\n      end)\n\n      assert :ok == run_job(validation)\n\n      {:ok, expected_details} = GTFSRT.convert_validator_report(@gtfs_rt_report_path, ignore_shapes: true)\n\n      assert %{\n               result: ^expected_details,\n               digest: %{\"warnings_count\" => 26, \"errors_count\" => 4},\n               oban_args: %{\n                 \"state\" => \"completed\",\n                 \"type\" => \"gtfs-rt\",\n                 \"gtfs_url\" => ^gtfs_url,\n                 \"gtfs_rt_url\" => ^gtfs_rt_url\n               },\n               data_vis: nil\n             } = reload(validation)\n\n      refute File.exists?(gtfs_path)\n      refute File.exists?(gtfs_rt_path)\n      refute File.exists?(OnDemandValidationJob.gtfs_rt_result_path(gtfs_rt_path))\n    end\n\n    test \"with a NeTEx with errors\" do\n      url = mk_raw_netex_resource()\n      validation = create_validation(%{\"type\" => \"netex\"}, url)\n\n      errors = [\n        %{\n          \"code\" => \"xsd-1871\",\n          \"criticity\" => \"error\",\n          \"message\" =>\n            \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\"\n        },\n        %{\n          \"code\" => \"uic-operating-period\",\n          \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n          \"criticity\" => \"error\"\n        },\n        %{\n          \"code\" => \"valid-day-bits\",\n          \"message\" => \"Mandatory attribute valid_day_bits not found\",\n          \"criticity\" => \"error\"\n        },\n        %{\n          \"code\" => \"frame-arret-resources\",\n          \"message\" => \"Tag frame_id doesn't match ''\",\n          \"criticity\" => \"warning\"\n        }\n      ]\n\n      expect_netex_with_errors(errors)\n\n      s3_mocks_delete_object(Transport.S3.bucket_name(:on_demand_validation), @filename)\n\n      assert :ok == run_job(validation)\n\n      assert %{\n               validation_timestamp: date,\n               result: result,\n               digest: %{\n                 \"max_severity\" => %{\"max_level\" => \"error\", \"worst_occurrences\" => 3},\n                 \"stats\" => %{\"error\" => 3, \"warning\" => 1},\n                 \"summary\" => [\n                   %{\"category\" => \"xsd-schema\", \"stats\" => %{\"count\" => 1, \"criticity\" => \"error\"}},\n                   %{\"category\" => \"french-profile\", \"stats\" => %{\"count\" => 0, \"criticity\" => \"NoError\"}},\n                   %{\"category\" => \"base-rules\", \"stats\" => %{\"count\" => 3, \"criticity\" => \"error\"}}\n                 ]\n               },\n               max_error: \"error\",\n               oban_args: %{\"state\" => \"completed\", \"type\" => \"netex\"},\n               metadata: %{},\n               data_vis: nil\n             } = validation |> reload() |> DB.Repo.preload(:metadata)\n\n      assert %{\"xsd-schema\" => a1, \"base-rules\" => a2} =\n               result\n\n      assert length(a1) == 1\n      assert length(a2) == 3\n\n      assert DateTime.diff(date, DateTime.utc_now()) <= 1\n    end\n\n    test \"with a NeTEx long lasting\" do\n      url = mk_raw_netex_resource()\n      validation = create_validation(%{\"type\" => \"netex\"}, url)\n\n      validation_id = expect_netex_long_lasting()\n\n      s3_mocks_delete_object(Transport.S3.bucket_name(:on_demand_validation), @filename)\n\n      assert :ok == run_job(validation)\n\n      validation = reload(validation)\n      assert nil == validation.result\n      assert nil == validation.digest\n      assert nil == validation.max_error\n\n      assert %{\n               \"filename\" => @filename,\n               \"permanent_url\" => url,\n               \"type\" => \"netex\",\n               \"state\" => \"waiting\"\n             } = validation.oban_args\n\n      in_20_seconds = DateTime.utc_now() |> DateTime.add(20, :second)\n\n      assert_enqueued(\n        worker: Transport.Jobs.OnDemandNeTExPollerJob,\n        args: %{\n          \"id\" => validation.id,\n          \"permanent_url\" => url,\n          \"validation_id\" => validation_id\n        },\n        scheduled_at: in_20_seconds\n      )\n    end\n  end\n\n  defp create_validation(details, url \\\\ @url) do\n    details =\n      if details[\"type\"] == \"gtfs-rt\" do\n        details\n      else\n        Map.merge(details, %{\"filename\" => @filename, \"permanent_url\" => url})\n      end\n\n    oban_args = Map.merge(%{\"state\" => \"waiting\"}, details)\n\n    insert(:multi_validation, oban_args: oban_args)\n  end\n\n  def expect_netex_with_errors(messages) do\n    validation_id = expect_create_validation(ResultsAdapter.french_profile().slug())\n    expect_failed_validation(validation_id, 10)\n\n    expect_get_messages(validation_id, messages)\n  end\n\n  def expect_netex_long_lasting do\n    expect_create_validation(ResultsAdapter.french_profile().slug()) |> expect_pending_validation()\n  end\n\n  defp run_job(%DB.MultiValidation{} = validation) do\n    payload = Map.merge(%{\"id\" => validation.id}, validation.oban_args)\n    perform_job(OnDemandValidationJob, payload)\n  end\n\n  defp validator_path, do: Path.join(Application.fetch_env!(:transport, :transport_tools_folder), @validator_filename)\n\n  defp mk_raw_netex_resource do\n    resource_url = \"http://localhost:9999/netex-#{Ecto.UUID.generate()}.zip\"\n\n    expect(Transport.Req.Mock, :get!, 1, fn ^resource_url, [{:compressed, false}, {:into, _}] ->\n      {:ok, %Req.Response{status: 200, body: %{\"data\" => \"some_zip_file\"}}}\n    end)\n\n    resource_url\n  end\n\n  defp reload(validation) do\n    DB.MultiValidation.with_result()\n    |> DB.Repo.get(validation.id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/periodic_reminder_producers_notification_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.PeriodicReminderProducersNotificationJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.PeriodicReminderProducersNotificationJob\n  import Swoosh.TestAssertions\n\n  doctest PeriodicReminderProducersNotificationJob, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  describe \"enqueues jobs\" do\n    test \"discards if not the first Monday of the month\" do\n      assert {:discard, _} =\n               perform_job(PeriodicReminderProducersNotificationJob, %{}, inserted_at: ~U[2023-07-28 09:00:00Z])\n    end\n\n    test \"enqueues jobs for each contact\" do\n      dataset = insert(:dataset, organization_id: org_id = Ecto.UUID.generate())\n      insert(:dataset, organization_id: publisher_org_id = Ecto.UUID.generate())\n      # Contact should be kept: it doesn't have orgs set but it's subscribed as a producer\n      %DB.Contact{id: contact_id_without_org} = insert_contact()\n\n      insert(:notification_subscription,\n        source: :admin,\n        role: :producer,\n        reason: :expiration,\n        dataset: dataset,\n        contact_id: contact_id_without_org\n      )\n\n      # Contact should be ignored: it's a reuser\n      insert(:notification_subscription,\n        source: :user,\n        role: :reuser,\n        reason: :expiration,\n        dataset: dataset,\n        contact: insert_contact()\n      )\n\n      # Contact should be kept: no subscriptions but member of orgs\n      # with published datasets.\n      # A single job should be enqueued even if the contact is a member\n      # of multiple orgs with published datasets.\n      %DB.Contact{id: contact_id_with_org} =\n        insert_contact(%{\n          organizations: [\n            sample_org(%{\"id\" => org_id}),\n            sample_org(%{\"id\" => publisher_org_id})\n          ]\n        })\n\n      assert 1 == PeriodicReminderProducersNotificationJob.chunk_size()\n\n      assert :ok ==\n               perform_job(PeriodicReminderProducersNotificationJob, %{}, inserted_at: ~U[2023-07-03 09:00:00.000000Z])\n\n      assert [\n               %Oban.Job{\n                 worker: \"Transport.Jobs.PeriodicReminderProducersNotificationJob\",\n                 args: %{\"contact_id\" => ^contact_id_without_org},\n                 scheduled_at: ~U[2023-07-04 09:00:00.000000Z],\n                 state: \"scheduled\"\n               },\n               %Oban.Job{\n                 worker: \"Transport.Jobs.PeriodicReminderProducersNotificationJob\",\n                 args: %{\"contact_id\" => ^contact_id_with_org},\n                 scheduled_at: ~U[2023-07-03 09:00:00.000000Z],\n                 state: \"scheduled\"\n               }\n             ] = all_enqueued()\n    end\n  end\n\n  test \"subscribed_as_producer?\" do\n    dataset = insert(:dataset)\n    contact = insert_contact()\n\n    insert(:notification_subscription,\n      source: :admin,\n      role: :reuser,\n      reason: :new_dataset,\n      contact: contact\n    )\n\n    refute contact\n           |> DB.Repo.preload(:notification_subscriptions)\n           |> PeriodicReminderProducersNotificationJob.subscribed_as_producer?()\n\n    insert(:notification_subscription,\n      source: :admin,\n      role: :producer,\n      reason: :expiration,\n      dataset: dataset,\n      contact: contact\n    )\n\n    assert contact\n           |> DB.Repo.preload(:notification_subscriptions)\n           |> PeriodicReminderProducersNotificationJob.subscribed_as_producer?()\n  end\n\n  test \"other_producers_subscribers\" do\n    producer_1 = insert_contact()\n    %DB.Contact{id: producer_2_id} = producer_2 = insert_contact()\n    reuser = insert_contact()\n    dataset = insert(:dataset)\n    other_dataset = insert(:dataset)\n\n    # Should be ignored, the contact of a member of the transport.data.gouv.fr's org\n    admin_producer =\n      insert_contact(%{organizations: [sample_org(%{\"name\" => \"Point d'Accès National transport.data.gouv.fr\"})]})\n\n    [{producer_1, :producer}, {producer_2, :producer}, {reuser, :reuser}, {admin_producer, :producer}]\n    |> Enum.each(fn {%DB.Contact{} = contact, role} ->\n      insert(:notification_subscription,\n        source: :admin,\n        role: role,\n        reason: :expiration,\n        dataset: dataset,\n        contact: contact\n      )\n    end)\n\n    # Subscribed as a reuser to another dataset and a producer has notifications enabled.\n    # Should not list the other producer.\n    [{producer_1, :reuser}, {producer_2, :producer}]\n    |> Enum.each(fn {%DB.Contact{} = current_contact, role} ->\n      insert(:notification_subscription,\n        source: :admin,\n        role: role,\n        reason: :expiration,\n        dataset: other_dataset,\n        contact: current_contact\n      )\n    end)\n\n    assert [%DB.Contact{id: ^producer_2_id}] =\n             producer_1\n             |> DB.Repo.preload(notification_subscriptions: [:dataset])\n             |> PeriodicReminderProducersNotificationJob.other_producers_subscribers()\n  end\n\n  test \"datasets_subscribed_as_producer\" do\n    contact = insert_contact()\n    %DB.Dataset{id: d1_id} = d1 = insert(:dataset, custom_title: \"A\")\n    %DB.Dataset{id: d2_id} = d2 = insert(:dataset, custom_title: \"B\")\n    d3 = insert(:dataset, custom_title: \"C\")\n\n    [\n      {d1, :producer, :expiration},\n      {d2, :producer, :expiration},\n      {d2, :producer, :dataset_with_error},\n      {d3, :reuser, :expiration}\n    ]\n    |> Enum.each(fn {%DB.Dataset{} = dataset, role, reason} ->\n      insert(:notification_subscription,\n        source: :admin,\n        role: role,\n        reason: reason,\n        dataset: dataset,\n        contact: contact\n      )\n    end)\n\n    assert [%DB.Dataset{id: ^d1_id}, %DB.Dataset{id: ^d2_id}] =\n             contact\n             |> DB.Repo.preload(notification_subscriptions: [:dataset])\n             |> PeriodicReminderProducersNotificationJob.datasets_subscribed_as_producer()\n  end\n\n  test \"send mail to producer with subscriptions\" do\n    %DB.Contact{id: contact_id, email: email} = producer_1 = insert_contact()\n    producer_2 = insert_contact(%{first_name: \"Marina\", last_name: \"Loiseau\"})\n    producer_3 = insert_contact(%{first_name: \"Foo\", last_name: \"Baz\"})\n    reuser = insert_contact()\n    dataset = insert(:dataset, custom_title: \"Super JDD\")\n    other_dataset = insert(:dataset)\n\n    %DB.Contact{id: admin_producer_id} =\n      admin_producer =\n      insert_contact(%{organizations: [sample_org(%{\"name\" => \"Point d'Accès National transport.data.gouv.fr\"})]})\n\n    [{producer_1, :producer}, {producer_2, :producer}, {reuser, :reuser}, {admin_producer, :producer}]\n    |> Enum.each(fn {%DB.Contact{} = contact, role} ->\n      insert(:notification_subscription,\n        source: :admin,\n        role: role,\n        reason: :expiration,\n        dataset: dataset,\n        contact: contact\n      )\n    end)\n\n    # Subscribed as a reuser to another dataset and a producer has notifications enabled.\n    # Should not list the other producer.\n    [{producer_1, :reuser}, {producer_3, :producer}]\n    |> Enum.each(fn {%DB.Contact{} = contact, role} ->\n      insert(:notification_subscription,\n        source: :admin,\n        role: role,\n        reason: :expiration,\n        dataset: other_dataset,\n        contact: contact\n      )\n    end)\n\n    assert [%DB.Contact{id: ^admin_producer_id}] = DB.Contact.admin_contacts()\n    assert [admin_producer.id] == DB.Contact.admin_contact_ids()\n\n    assert :ok == perform_job(PeriodicReminderProducersNotificationJob, %{\"contact_id\" => producer_1.id})\n\n    display_name = DB.Contact.display_name(producer_1)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{^display_name, ^email}],\n                           subject: subject,\n                           html_body: html\n                         } ->\n      assert subject == \"Rappel : vos notifications pour vos données sur transport.data.gouv.fr\"\n\n      assert html =~\n               ~s(vous êtes inscrit à des notifications pour le jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a>)\n\n      assert html =~\n               \"Les autres personnes impliquées dans la production ou publication de vos données (qu’ils soient exploitants, intervenants techniques ou responsables légaux) et inscrites à ces notifications sont : Marina Loiseau.\"\n    end)\n\n    assert [\n             %DB.Notification{\n               reason: :periodic_reminder_producers,\n               email: ^email,\n               contact_id: ^contact_id,\n               dataset_id: nil,\n               role: :producer,\n               payload: %{\"template_type\" => \"producer_with_subscriptions\"},\n               notification_subscription_id: nil\n             }\n           ] = DB.Notification |> DB.Repo.all()\n  end\n\n  test \"send mail to producer without subscriptions\" do\n    org_id = Ecto.UUID.generate()\n\n    %DB.Contact{id: contact_id, email: email} =\n      contact =\n      insert_contact(%{\n        organizations: [\n          sample_org(%{\"id\" => org_id})\n        ]\n      })\n\n    dataset = insert(:dataset, custom_title: \"Super JDD\", organization_id: org_id)\n\n    refute contact\n           |> DB.Repo.preload(:notification_subscriptions)\n           |> PeriodicReminderProducersNotificationJob.subscribed_as_producer?()\n\n    assert :ok == perform_job(PeriodicReminderProducersNotificationJob, %{\"contact_id\" => contact.id})\n\n    display_name = DB.Contact.display_name(contact)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{^display_name, ^email}],\n                           subject: subject,\n                           html_body: html\n                         } ->\n      assert subject == \"Notifications pour vos données sur transport.data.gouv.fr\"\n\n      assert html =~\n               ~s(il est possible de vous inscrire à des notifications concernant le jeu de données que vous gérez sur transport.data.gouv.fr, <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a>)\n\n      assert html =~\n               ~s(Pour vous inscrire, rien de plus simple : rendez-vous sur votre <a href=\"http://127.0.0.1:5100/espace_producteur?utm_source=transactional_email&amp;utm_medium=email&amp;utm_campaign=periodic_reminder_producer_without_subscriptions\">Espace Producteur</a>)\n    end)\n\n    assert [\n             %DB.Notification{\n               reason: :periodic_reminder_producers,\n               email: ^email,\n               contact_id: ^contact_id,\n               dataset_id: nil,\n               role: :producer,\n               payload: %{\"template_type\" => \"producer_without_subscriptions\"},\n               notification_subscription_id: nil\n             }\n           ] = DB.Notification |> DB.Repo.all()\n  end\n\n  test \"makes sure the email has not been sent recently already\" do\n    contact = insert_contact()\n    refute PeriodicReminderProducersNotificationJob.sent_mail_recently?(contact)\n\n    insert_notification(%{\n      email: contact.email,\n      reason: Transport.NotificationReason.reason(:periodic_reminder_producers),\n      role: :producer\n    })\n\n    assert PeriodicReminderProducersNotificationJob.sent_mail_recently?(contact)\n\n    assert {:discard, \"Mail has already been sent recently\"} ==\n             perform_job(PeriodicReminderProducersNotificationJob, %{\"contact_id\" => contact.id})\n  end\n\n  defp sample_org(%{} = args) do\n    Map.merge(\n      %{\n        \"acronym\" => nil,\n        \"badges\" => [],\n        \"id\" => Ecto.UUID.generate(),\n        \"logo\" => \"https://example.com/original.png\",\n        \"logo_thumbnail\" => \"https://example.com/100.png\",\n        \"name\" => \"Big Corp\",\n        \"slug\" => \"foo\" <> Ecto.UUID.generate()\n      },\n      args\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/promote_producer_space_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.PromoteProducerSpaceJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Ecto.Query\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.PromoteProducerSpaceJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  describe \"perform\" do\n    test \"does nothing if you're a reuser\" do\n      contact = insert_contact()\n      insert(:dataset)\n\n      assert :ok == perform_job(PromoteProducerSpaceJob, %{contact_id: contact.id})\n\n      assert DB.NotificationSubscription |> DB.Repo.all() |> Enum.empty?()\n      refute_email_sent()\n    end\n\n    test \"for a producer\" do\n      organization = insert(:organization)\n\n      %DB.Contact{id: contact_id, email: contact_email} =\n        contact =\n        insert_contact(%{organizations: [organization |> Map.from_struct()]})\n\n      dataset = insert(:dataset, organization_id: organization.id)\n      # Another dataset, should be ignored: contact is not a producer for it\n      insert(:dataset)\n\n      # An existing notification subscription in the DB before executing the job\n      insert(:notification_subscription,\n        dataset_id: dataset.id,\n        reason: :expiration,\n        role: :producer,\n        contact_id: contact_id,\n        source: :admin\n      )\n\n      assert :ok == perform_job(PromoteProducerSpaceJob, %{contact_id: contact_id})\n\n      # The contact has been subscribed to all producer reasons for the dataset.\n      # The existing subscription did not interfere.\n      producer_reasons = Transport.NotificationReason.subscribable_reasons_related_to_datasets(:producer)\n\n      subscriptions =\n        DB.NotificationSubscription.base_query()\n        |> select([notification_subscription: ns], %{\n          dataset_id: ns.dataset_id,\n          role: ns.role,\n          contact_id: ns.contact_id,\n          reason: ns.reason\n        })\n        |> DB.Repo.all()\n\n      assert %{admin: 1, \"automation:promote_producer_space\": Enum.count(producer_reasons) - 1} ==\n               DB.NotificationSubscription.base_query()\n               |> select([notification_subscription: ns], ns.source)\n               |> DB.Repo.all()\n               |> Enum.frequencies()\n\n      expected_subscriptions =\n        MapSet.new(producer_reasons, fn reason ->\n          %{dataset_id: dataset.id, role: :producer, contact_id: contact_id, reason: reason}\n        end)\n\n      assert Enum.count(subscriptions) == subscriptions |> MapSet.new() |> Enum.count()\n      assert expected_subscriptions == MapSet.new(subscriptions)\n\n      display_name = DB.Contact.display_name(contact)\n\n      assert_email_sent(fn %Swoosh.Email{\n                             from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                             to: [{^display_name, ^contact_email}],\n                             reply_to: {\"\", \"contact@transport.data.gouv.fr\"},\n                             subject: \"Bienvenue ! Découvrez votre Espace producteur\",\n                             text_body: nil,\n                             html_body: html_body\n                           } ->\n        assert html_body =~ \"Bienvenue sur le Point d’Accès National aux données de transport\"\n\n        assert html_body =~\n                 ~s(Rendez-vous sur votre <a href=\"http://127.0.0.1:5100/espace_producteur?utm_source=transactional_email&amp;utm_medium=email&amp;utm_campaign=promote_producer_space\">Espace Producteur</a> pour mettre à jour vos données ou paramétrer vos notifications)\n      end)\n\n      assert [\n               %DB.Notification{\n                 reason: :promote_producer_space,\n                 contact_id: ^contact_id,\n                 email: ^contact_email,\n                 role: :producer,\n                 dataset_id: nil,\n                 notification_subscription_id: nil\n               }\n             ] = DB.Notification |> DB.Repo.all()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/promote_reuser_space_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.PromoteReuserSpaceJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.PromoteReuserSpaceJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"perform\" do\n    %DB.Contact{email: email, id: contact_id} = contact = insert_contact()\n    assert :ok == perform_job(PromoteReuserSpaceJob, %{\"contact_id\" => contact_id})\n\n    display_name = DB.Contact.display_name(contact)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{^display_name, ^email}],\n                           reply_to: {\"\", \"contact@transport.data.gouv.fr\"},\n                           subject: \"Gestion de vos favoris dans votre espace réutilisateur\",\n                           text_body: nil,\n                           html_body: html_body\n                         } ->\n      assert html_body =~\n               \"Vous venez d’ajouter votre 1er favori pour suivre un jeu de données référencé sur le PAN et nous vous en félicitons !\"\n\n      assert html_body =~\n               ~s(Rendez-vous sur votre <a href=\"http://127.0.0.1:5100/espace_reutilisateur?utm_source=transactional_email&amp;utm_medium=email&amp;utm_campaign=promote_reuser_space\">Espace réutilisateur</a> pour personnaliser vos préférences)\n    end)\n\n    assert [\n             %DB.Notification{\n               reason: :promote_reuser_space,\n               contact_id: ^contact_id,\n               email: ^email,\n               role: :reuser,\n               dataset_id: nil,\n               notification_subscription_id: nil\n             }\n           ] = DB.Notification |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/refresh_autocomplete_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.RefreshAutocompleteJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.RefreshAutocompleteJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    Logger.configure(level: :debug)\n  end\n\n  test \"refresh view is executed\" do\n    {_, log} =\n      ExUnit.CaptureLog.with_log(fn ->\n        assert :ok == perform_job(RefreshAutocompleteJob, %{})\n      end)\n\n    assert log =~ \"REFRESH MATERIALIZED VIEW autocomplete\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/remove_history_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.RemoveHistoryJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Transport.Jobs.RemoveHistoryJob\n  alias Transport.Test.S3TestUtils\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"enqueues jobs when deleting by dataset type\" do\n    %DB.Dataset{id: d1_id} = insert(:dataset, type: \"vehicles-sharing\")\n    %DB.Dataset{id: d2_id} = insert(:dataset, type: \"vehicles-sharing\")\n    dataset_3 = insert(:dataset, type: \"public-transit\")\n\n    assert :ok == perform_job(RemoveHistoryJob, %{\"dataset_type\" => \"vehicles-sharing\"})\n\n    assert MapSet.new([d1_id, d2_id]) ==\n             [worker: RemoveHistoryJob]\n             |> all_enqueued()\n             |> Enum.map(fn %Oban.Job{args: %{\"dataset_id\" => dataset_id}} -> dataset_id end)\n             |> MapSet.new()\n\n    refute DB.Dataset.should_skip_history?(dataset_3)\n    assert :ok == perform_job(RemoveHistoryJob, %{\"dataset_type\" => \"public-transit\"})\n\n    assert Enum.count(all_enqueued(worker: RemoveHistoryJob)) == 2\n  end\n\n  test \"cannot delete history rows for wrong dataset type\" do\n    dataset = insert(:dataset, type: \"public-transit\")\n\n    refute DB.Dataset.should_skip_history?(dataset)\n    assert {:cancel, _} = perform_job(RemoveHistoryJob, %{\"dataset_id\" => dataset.id})\n  end\n\n  test \"marks for deletion relevant rows when deleting by dataset_id\" do\n    %{id: dataset_id} = dataset = insert(:dataset, type: \"vehicles-sharing\")\n    resource = insert(:resource, dataset_id: dataset.id)\n\n    rh1 = insert(:resource_history, resource_id: resource.id, payload: %{\"dataset_id\" => dataset.id})\n    rh2 = insert(:resource_history, resource_id: resource.id, payload: %{\"dataset_id\" => dataset.id})\n\n    assert DB.Dataset.should_skip_history?(dataset)\n    assert :ok == perform_job(RemoveHistoryJob, %{\"dataset_id\" => dataset.id})\n\n    rh1_payload = Map.put(rh1.payload, \"mark_for_deletion\", true)\n    rh2_payload = Map.put(rh2.payload, \"mark_for_deletion\", true)\n\n    assert [%DB.ResourceHistory{payload: ^rh1_payload}, %DB.ResourceHistory{payload: ^rh2_payload}] =\n             DB.Repo.reload([rh1, rh2])\n\n    assert [%Oban.Job{args: %{\"dataset_id\" => ^dataset_id, \"action\" => \"remove\"}}] =\n             all_enqueued(worker: RemoveHistoryJob)\n  end\n\n  test \"marks for deletion relevant rows when deleting by schema_name and days_limit\" do\n    resource = insert(:resource, dataset: insert(:dataset, type: \"charging-stations\"))\n\n    rh1 =\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: %{\"schema_name\" => \"etalab/schema-irve-dynamique\"},\n        inserted_at: DateTime.utc_now() |> DateTime.add(-5, :day)\n      )\n\n    rh2 =\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: %{\"schema_name\" => \"etalab/schema-irve-dynamique\"},\n        inserted_at: DateTime.utc_now() |> DateTime.add(-5, :day)\n      )\n\n    # Should not be marked for deletion because it's too recent\n    rh3 =\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: %{\"schema_name\" => \"etalab/schema-irve-dynamique\"},\n        inserted_at: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n    assert :ok == perform_job(RemoveHistoryJob, %{\"schema_name\" => \"etalab/schema-irve-dynamique\", \"days_limit\" => 3})\n\n    rh1_payload = Map.put(rh1.payload, \"mark_for_deletion\", true)\n    rh2_payload = Map.put(rh2.payload, \"mark_for_deletion\", true)\n    rh3_payload = rh3.payload\n\n    assert [\n             %DB.ResourceHistory{payload: ^rh1_payload},\n             %DB.ResourceHistory{payload: ^rh2_payload},\n             %DB.ResourceHistory{payload: ^rh3_payload}\n           ] = DB.Repo.reload([rh1, rh2, rh3])\n\n    assert [%Oban.Job{args: job_args}] = all_enqueued(worker: RemoveHistoryJob)\n    assert job_args == %{\"action\" => \"remove\"}\n  end\n\n  test \"removes rows and deletes objects for a given dataset_id\" do\n    public_transit_dataset = insert(:dataset, type: \"public-transit\")\n    public_transit_resource = insert(:resource, dataset_id: public_transit_dataset.id)\n\n    # Should not be deleted because it does not have `mark_for_deletion` and\n    # does not belong to the dataset for which we will enqueue a job\n    public_transit_resource_history =\n      insert(:resource_history,\n        resource_id: public_transit_resource.id,\n        payload: %{\"filename\" => Ecto.UUID.generate(), \"dataset_id\" => public_transit_dataset.id}\n      )\n\n    %{id: dataset_id} = dataset = insert(:dataset, type: \"vehicles-sharing\")\n    resource = insert(:resource, dataset_id: dataset.id)\n\n    rh1 =\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: %{\n          \"filename\" => rh1_filename = Ecto.UUID.generate(),\n          \"dataset_id\" => dataset.id,\n          \"mark_for_deletion\" => true\n        }\n      )\n\n    rh2 =\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: %{\n          \"filename\" => rh2_filename = Ecto.UUID.generate(),\n          \"dataset_id\" => dataset.id,\n          \"mark_for_deletion\" => true\n        }\n      )\n\n    S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:history), rh1_filename)\n    S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:history), rh2_filename)\n\n    assert :ok == perform_job(RemoveHistoryJob, %{\"dataset_id\" => dataset.id, \"action\" => \"remove\"})\n\n    assert [nil, nil, %DB.ResourceHistory{}] = DB.Repo.reload([rh1, rh2, public_transit_resource_history])\n\n    assert [%Oban.Job{args: %{\"dataset_id\" => ^dataset_id, \"action\" => \"remove\"}, scheduled_at: scheduled_at}] =\n             all_enqueued(worker: RemoveHistoryJob)\n\n    refute is_nil(scheduled_at)\n  end\n\n  test \"removes rows and deletes objects when marked for deletion\" do\n    public_transit_dataset = insert(:dataset, type: \"public-transit\")\n    public_transit_resource = insert(:resource, dataset_id: public_transit_dataset.id)\n\n    # Should not be deleted because it does not have `mark_for_deletion`\n    public_transit_resource_history =\n      insert(:resource_history,\n        resource_id: public_transit_resource.id,\n        payload: %{\"filename\" => Ecto.UUID.generate(), \"dataset_id\" => public_transit_dataset.id}\n      )\n\n    resource = insert(:resource, dataset: insert(:dataset, type: \"charging-stations\"))\n\n    rh1 =\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: %{\n          \"filename\" => rh1_filename = Ecto.UUID.generate(),\n          \"schema_name\" => \"etalab/schema-irve-dynamique\",\n          \"mark_for_deletion\" => true\n        }\n      )\n\n    rh2 =\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: %{\n          \"filename\" => rh2_filename = Ecto.UUID.generate(),\n          \"schema_name\" => \"etalab/schema-irve-dynamique\",\n          \"mark_for_deletion\" => true\n        }\n      )\n\n    S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:history), rh1_filename)\n    S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:history), rh2_filename)\n\n    assert :ok == perform_job(RemoveHistoryJob, %{\"action\" => \"remove\"})\n\n    assert [nil, nil, %DB.ResourceHistory{}] = DB.Repo.reload([rh1, rh2, public_transit_resource_history])\n\n    assert [%Oban.Job{args: job_args, scheduled_at: scheduled_at}] = all_enqueued(worker: RemoveHistoryJob)\n    assert job_args == %{\"action\" => \"remove\"}\n    refute is_nil(scheduled_at)\n  end\n\n  test \"does not enqueue a job when there is nothing left\" do\n    assert :ok == perform_job(RemoveHistoryJob, %{\"dataset_id\" => 42, \"action\" => \"remove\"})\n    assert [] == all_enqueued(worker: RemoveHistoryJob)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/resource_history_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ResourceHistoryJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  use Oban.Testing, repo: DB.Repo\n  import Ecto.Query\n  import Mox\n  import Transport.Test.TestUtils\n\n  alias Transport.Jobs.{ResourceHistoryAndValidationDispatcherJob, ResourceHistoryJob}\n\n  doctest ResourceHistoryJob, import: true\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    Mox.stub_with(Transport.DataVisualization.Mock, Transport.DataVisualization.Impl)\n    :ok\n  end\n\n  setup :verify_on_exit!\n\n  @gtfs_path \"#{__DIR__}/../../../../shared/test/validation/gtfs.zip\"\n  @gtfs_content File.read!(@gtfs_path)\n\n  def setup_req_mock(resource_url, csv_content, opts \\\\ []) do\n    opts = Keyword.validate!(opts, status: 200)\n\n    Transport.Req.Mock\n    |> expect(:get, fn ^resource_url, options ->\n      assert options[:compressed] == false\n      assert options[:decode_body] == false\n      stream = options |> Keyword.fetch!(:into)\n      # fake write\n      File.write!(stream.path, csv_content)\n\n      response =\n        %Req.Response{status: opts[:status], headers: %{}}\n        |> Req.Response.put_header(\"Content-Type\", \"application/octet-stream\")\n        |> Req.Response.put_header(\"x-foo\", \"bar\")\n\n      {:ok, response}\n    end)\n  end\n\n  def setup_aws_mock(resource_id) do\n    Transport.ExAWS.Mock\n    # Resource upload\n    |> expect(:request!, fn request ->\n      bucket_name = Transport.S3.bucket_name(:history)\n      assert Map.has_key?(request, :body) == false\n\n      assert %{\n               src: %File.Stream{} = _,\n               service: :s3,\n               path: path,\n               bucket: ^bucket_name,\n               opts: [acl: :public_read]\n             } = request\n\n      assert String.starts_with?(path, to_string(resource_id))\n    end)\n  end\n\n  describe \"ResourceHistoryAndValidationDispatcherJob\" do\n    test \"resources_to_historise\" do\n      ids = create_resources_for_history()\n      assert 10 == count_resources()\n\n      assert MapSet.new(ids) ==\n               ResourceHistoryAndValidationDispatcherJob.resources_to_historise() |> Enum.map(& &1.id) |> MapSet.new()\n    end\n\n    test \"a successful case for resources\" do\n      ids = create_resources_for_history()\n\n      assert count_resources() > 1\n      assert :ok == perform_job(ResourceHistoryAndValidationDispatcherJob, %{})\n\n      assert [\n               %{args: %{\"first_job_args\" => %{\"resource_id\" => first_id}}},\n               %{args: %{\"first_job_args\" => %{\"resource_id\" => second_id}}},\n               %{args: %{\"first_job_args\" => %{\"resource_id\" => third_id}}}\n             ] = all_enqueued(worker: Transport.Jobs.Workflow)\n\n      assert Enum.sort([first_id, second_id, third_id]) == Enum.sort(ids)\n\n      refute_enqueued(worker: ResourceHistoryAndValidationDispatcherJob)\n    end\n\n    test \"a successful case for reuser improved data jobs\" do\n      insert(:reuser_improved_data)\n      insert(:reuser_improved_data)\n      insert(:reuser_improved_data)\n\n      ids =\n        DB.ReuserImprovedData.base_query()\n        |> select([reuser_improved_data: rid], rid.id)\n        |> DB.Repo.all()\n\n      assert :ok == perform_job(ResourceHistoryAndValidationDispatcherJob, %{mode: \"reuser_improved_data\"})\n\n      assert [\n               %{args: %{\"first_job_args\" => %{\"reuser_improved_data_id\" => first_id}}},\n               %{args: %{\"first_job_args\" => %{\"reuser_improved_data_id\" => second_id}}},\n               %{args: %{\"first_job_args\" => %{\"reuser_improved_data_id\" => third_id}}}\n             ] = all_enqueued(worker: Transport.Jobs.Workflow)\n\n      assert Enum.sort([first_id, second_id, third_id]) == Enum.sort(ids)\n\n      refute_enqueued(worker: ResourceHistoryAndValidationDispatcherJob)\n    end\n  end\n\n  describe \"should_store_resource?\" do\n    test \"with an empty or a nil ZIP metadata\" do\n      refute ResourceHistoryJob.should_store_resource?(%DB.Resource{}, nil)\n      refute ResourceHistoryJob.should_store_resource?(%DB.ReuserImprovedData{}, nil)\n\n      refute ResourceHistoryJob.should_store_resource?(%DB.Resource{}, [])\n      refute ResourceHistoryJob.should_store_resource?(%DB.ReuserImprovedData{}, [])\n    end\n\n    test \"with no ResourceHistory records\" do\n      assert 0 == count_resource_history()\n      assert ResourceHistoryJob.should_store_resource?(%DB.Resource{id: 1}, zip_metadata())\n      assert ResourceHistoryJob.should_store_resource?(%DB.ReuserImprovedData{id: 1}, zip_metadata())\n    end\n\n    test \"with the latest ResourceHistory matching for a ZIP\" do\n      %{id: resource_history_id, resource_id: resource_id} =\n        resource_history =\n        insert(:resource_history,\n          resource: insert(:resource),\n          payload: %{\"zip_metadata\" => zip_metadata()}\n        )\n\n      assert 1 == count_resource_history()\n      assert ResourceHistoryJob.same_resource?(resource_history, zip_metadata())\n\n      assert {false, %{id: ^resource_history_id}} =\n               ResourceHistoryJob.should_store_resource?(%DB.Resource{id: resource_id}, zip_metadata())\n    end\n\n    test \"with the latest ResourceHistory matching for a ZIP, reuser improved data\" do\n      reuser_improved_data = insert(:reuser_improved_data)\n\n      %{id: resource_history_id} =\n        resource_history =\n        insert(:resource_history,\n          payload: %{\"zip_metadata\" => zip_metadata()},\n          reuser_improved_data_id: reuser_improved_data.id\n        )\n\n      assert 1 == count_resource_history()\n      assert ResourceHistoryJob.same_resource?(resource_history, zip_metadata())\n\n      assert {false, %{id: ^resource_history_id}} =\n               ResourceHistoryJob.should_store_resource?(\n                 %DB.ReuserImprovedData{id: reuser_improved_data.id},\n                 zip_metadata()\n               )\n    end\n\n    test \"with the latest ResourceHistory matching for a content hash\" do\n      content_hash = \"hash\"\n\n      %{id: resource_history_id, resource_id: resource_id} =\n        resource_history =\n        insert(:resource_history,\n          resource: insert(:resource),\n          payload: %{\"content_hash\" => content_hash}\n        )\n\n      assert 1 == count_resource_history()\n      assert ResourceHistoryJob.same_resource?(resource_history, content_hash)\n\n      assert {false, %{id: ^resource_history_id}} =\n               ResourceHistoryJob.should_store_resource?(%DB.Resource{id: resource_id}, content_hash)\n    end\n\n    test \"with the latest ResourceHistory matching for a content hash, reuser improved data\" do\n      content_hash = \"hash\"\n      reuser_improved_data = insert(:reuser_improved_data)\n\n      %{id: resource_history_id} =\n        resource_history =\n        insert(:resource_history,\n          payload: %{\"content_hash\" => content_hash},\n          reuser_improved_data_id: reuser_improved_data.id\n        )\n\n      assert 1 == count_resource_history()\n      assert ResourceHistoryJob.same_resource?(resource_history, content_hash)\n\n      assert {false, %{id: ^resource_history_id}} =\n               ResourceHistoryJob.should_store_resource?(\n                 %DB.ReuserImprovedData{id: reuser_improved_data.id},\n                 content_hash\n               )\n    end\n\n    test \"with the latest ResourceHistory matching but for a different resource ID\" do\n      %{resource_id: resource_id} =\n        insert(:resource_history,\n          resource: insert(:resource),\n          payload: %{\"zip_metadata\" => zip_metadata()}\n        )\n\n      assert 1 == count_resource_history()\n      assert ResourceHistoryJob.should_store_resource?(%DB.Resource{id: resource_id + 1}, zip_metadata())\n    end\n\n    test \"with the latest ResourceHistory matching but for a different reuser improved data ID\" do\n      %{id: reuser_improved_data_id} = insert(:reuser_improved_data)\n\n      insert(:resource_history,\n        reuser_improved_data_id: reuser_improved_data_id,\n        payload: %{\"zip_metadata\" => zip_metadata()}\n      )\n\n      assert 1 == count_resource_history()\n\n      assert ResourceHistoryJob.should_store_resource?(\n               %DB.ReuserImprovedData{id: reuser_improved_data_id + 1},\n               zip_metadata()\n             )\n    end\n\n    test \"with the second to last ResourceHistory matching\" do\n      %{resource_id: resource_id, payload: %{\"zip_metadata\" => zip_metadata}} =\n        insert(:resource_history,\n          resource: insert(:resource),\n          payload: %{\"zip_metadata\" => zip_metadata()}\n        )\n\n      %{id: latest_rh_id} =\n        insert(:resource_history,\n          resource_id: resource_id,\n          payload: %{\"zip_metadata\" => zip_metadata |> Enum.take(2)}\n        )\n\n      assert 2 == count_resource_history()\n      assert ResourceHistoryJob.should_store_resource?(%DB.Resource{id: resource_id}, zip_metadata())\n\n      %DB.ResourceHistory{id: latest_rh_id} |> DB.Repo.delete()\n\n      assert {false, _} = ResourceHistoryJob.should_store_resource?(%DB.Resource{id: resource_id}, zip_metadata())\n    end\n\n    test \"with the second to last ResourceHistory matching, reuser improved data\" do\n      %{id: reuser_improved_data_id} = insert(:reuser_improved_data)\n\n      %{payload: %{\"zip_metadata\" => zip_metadata}} =\n        insert(:resource_history,\n          reuser_improved_data_id: reuser_improved_data_id,\n          payload: %{\"zip_metadata\" => zip_metadata()}\n        )\n\n      %{id: latest_rh_id} =\n        insert(:resource_history,\n          reuser_improved_data_id: reuser_improved_data_id,\n          payload: %{\"zip_metadata\" => zip_metadata |> Enum.take(2)}\n        )\n\n      assert 2 == count_resource_history()\n\n      assert ResourceHistoryJob.should_store_resource?(\n               %DB.ReuserImprovedData{id: reuser_improved_data_id},\n               zip_metadata()\n             )\n\n      %DB.ResourceHistory{id: latest_rh_id} |> DB.Repo.delete()\n\n      assert {false, _} =\n               ResourceHistoryJob.should_store_resource?(\n                 %DB.ReuserImprovedData{id: reuser_improved_data_id},\n                 zip_metadata()\n               )\n    end\n\n    test \"with the latest ResourceHistory not matching for a ZIP\" do\n      %{resource_id: resource_id} =\n        insert(:resource_history,\n          resource: insert(:resource),\n          payload: %{\"zip_metadata\" => zip_metadata() |> Enum.take(2)}\n        )\n\n      assert 1 == count_resource_history()\n\n      assert ResourceHistoryJob.should_store_resource?(%DB.Resource{id: resource_id}, zip_metadata())\n    end\n\n    test \"with the latest ResourceHistory not matching for a ZIP, reuser improved data\" do\n      %{id: reuser_improved_data_id} = insert(:reuser_improved_data)\n\n      insert(:resource_history,\n        reuser_improved_data_id: reuser_improved_data_id,\n        payload: %{\"zip_metadata\" => zip_metadata() |> Enum.take(2)}\n      )\n\n      assert 1 == count_resource_history()\n\n      assert ResourceHistoryJob.should_store_resource?(\n               %DB.ReuserImprovedData{id: reuser_improved_data_id},\n               zip_metadata()\n             )\n    end\n\n    test \"with the latest ResourceHistory not matching\" do\n      %{resource_id: resource_id} =\n        insert(:resource_history, resource: insert(:resource), payload: %{\"content_hash\" => \"foo\"})\n\n      assert 1 == count_resource_history()\n\n      assert ResourceHistoryJob.should_store_resource?(%DB.Resource{id: resource_id}, \"bar\")\n    end\n\n    test \"with the latest ResourceHistory not matching, reuser improved data\" do\n      %{id: reuser_improved_data_id} = insert(:reuser_improved_data)\n\n      insert(:resource_history,\n        resource: insert(:resource),\n        reuser_improved_data_id: reuser_improved_data_id,\n        payload: %{\n          \"content_hash\" => \"foo\"\n        }\n      )\n\n      assert 1 == count_resource_history()\n\n      assert ResourceHistoryJob.should_store_resource?(%DB.ReuserImprovedData{id: reuser_improved_data_id}, \"bar\")\n    end\n  end\n\n  describe \"set_of_sha256\" do\n    test \"with atoms\" do\n      assert MapSet.new([{\"bar\", \"foo\"}]) == ResourceHistoryJob.set_of_sha256([%{sha256: \"foo\", file_name: \"bar\"}])\n    end\n\n    test \"with strings\" do\n      assert MapSet.new([{\"bar\", \"foo\"}]) ==\n               ResourceHistoryJob.set_of_sha256([%{\"sha256\" => \"foo\", \"file_name\" => \"bar\"}])\n    end\n\n    test \"with atoms and strings\" do\n      assert MapSet.new([{\"bar\", \"foo\"}, {\"foo\", \"bar\"}]) ==\n               ResourceHistoryJob.set_of_sha256([\n                 %{\"sha256\" => \"foo\", \"file_name\" => \"bar\"},\n                 %{sha256: \"bar\", file_name: \"foo\"}\n               ])\n    end\n  end\n\n  describe \"same_resource?\" do\n    test \"successful\" do\n      assert ResourceHistoryJob.same_resource?(\n               %DB.ResourceHistory{payload: %{\"zip_metadata\" => zip_metadata()}},\n               zip_metadata()\n             )\n\n      assert ResourceHistoryJob.same_resource?(\n               %DB.ResourceHistory{payload: %{\"content_hash\" => \"content_hash\"}},\n               \"content_hash\"\n             )\n    end\n\n    test \"failures\" do\n      # For ZIPs\n      refute ResourceHistoryJob.same_resource?(\n               %DB.ResourceHistory{payload: %{\"zip_metadata\" => zip_metadata()}},\n               zip_metadata() |> Enum.map(fn m -> Map.put(m, \"sha256\", \"foo\") end)\n             )\n\n      refute ResourceHistoryJob.same_resource?(\n               %DB.ResourceHistory{payload: %{\"zip_metadata\" => zip_metadata()}},\n               zip_metadata() |> Enum.take(2)\n             )\n\n      refute ResourceHistoryJob.same_resource?(\n               %DB.ResourceHistory{payload: %{\"zip_metadata\" => zip_metadata() |> Enum.take(2)}},\n               zip_metadata()\n             )\n\n      refute ResourceHistoryJob.same_resource?(%DB.ResourceHistory{payload: %{\"zip_metadata\" => zip_metadata()}}, [])\n\n      refute ResourceHistoryJob.same_resource?(\n               %DB.ResourceHistory{payload: %{\"zip_metadata\" => [%{\"file_name\" => \"folder/a.txt\", \"sha256\" => \"sha\"}]}},\n               [%{\"file_name\" => \"a.txt\", \"sha256\" => \"sha\"}]\n             )\n\n      # For regular files\n      refute ResourceHistoryJob.same_resource?(%DB.ResourceHistory{payload: %{\"content_hash\" => \"foo\"}}, \"\")\n    end\n  end\n\n  describe \"upload_filename\" do\n    test \"GTFS, ZIP file\" do\n      resource_id = 42\n\n      assert \"#{resource_id}/#{resource_id}.20211202.130534.393187.zip\" ==\n               ResourceHistoryJob.upload_filename(\n                 %DB.Resource{id: resource_id, format: \"GTFS\"},\n                 @gtfs_path,\n                 ~U[2021-12-02 13:05:34.393187Z]\n               )\n    end\n\n    test \"CSV file\" do\n      resource_id = 42\n      filepath = Path.join(System.tmp_dir!(), Ecto.UUID.generate())\n\n      File.write!(filepath, \"foo\")\n\n      assert \"#{resource_id}/#{resource_id}.20211202.130534.393187.csv\" ==\n               ResourceHistoryJob.upload_filename(\n                 %DB.Resource{id: resource_id, format: \"csv\"},\n                 filepath,\n                 ~U[2021-12-02 13:05:34.393187Z]\n               )\n\n      File.rm!(filepath)\n    end\n  end\n\n  describe \"ResourceHistoryJob\" do\n    test \"a simple successful case for a GTFS\" do\n      resource_url = \"https://example.com/gtfs.zip\"\n\n      %{\n        id: resource_id,\n        datagouv_id: datagouv_id,\n        dataset_id: dataset_id,\n        title: title\n      } =\n        insert(:resource,\n          url: resource_url,\n          dataset: insert(:dataset, is_active: true),\n          format: \"GTFS\",\n          title: \"title\",\n          datagouv_id: \"1\",\n          is_community_resource: false\n        )\n\n      setup_req_mock(resource_url, @gtfs_content)\n      setup_aws_mock(resource_id)\n\n      assert 0 == count_resource_history()\n      assert :ok == perform_job(ResourceHistoryJob, %{resource_id: resource_id})\n      assert 1 == count_resource_history()\n\n      ensure_no_tmp_files!(\"resource_\")\n\n      expected_zip_metadata = zip_metadata()\n\n      assert %DB.ResourceHistory{\n               resource_id: ^resource_id,\n               datagouv_id: ^datagouv_id,\n               payload: %{\n                 \"filenames\" => [\n                   \"ExportService.checksum.md5\",\n                   \"agency.txt\",\n                   \"calendar.txt\",\n                   \"calendar_dates.txt\",\n                   \"routes.txt\",\n                   \"stop_times.txt\",\n                   \"stops.txt\",\n                   \"transfers.txt\",\n                   \"trips.txt\"\n                 ],\n                 \"dataset_id\" => ^dataset_id,\n                 \"format\" => \"GTFS\",\n                 \"http_headers\" => %{\"content-type\" => \"application/octet-stream\"},\n                 \"total_compressed_size\" => 2_370,\n                 \"total_uncompressed_size\" => 10_685,\n                 \"title\" => ^title,\n                 \"filename\" => filename,\n                 \"permanent_url\" => permanent_url,\n                 \"zip_metadata\" => ^expected_zip_metadata,\n                 \"uuid\" => _uuid,\n                 \"download_datetime\" => _download_datetime\n               },\n               last_up_to_date_at: last_up_to_date_at\n             } = DB.ResourceHistory |> DB.Repo.one!()\n\n      assert permanent_url == Transport.S3.permanent_url(:history, filename)\n      refute is_nil(last_up_to_date_at)\n    end\n\n    test \"a simple successful case for a reuser improved GTFS\" do\n      download_url = \"https://example.com/gtfs.zip\"\n\n      %DB.ReuserImprovedData{id: reuser_improved_data_id} = insert(:reuser_improved_data, download_url: download_url)\n\n      setup_req_mock(download_url, @gtfs_content)\n      setup_aws_mock(\"reuser_improved_data_#{reuser_improved_data_id}\")\n\n      assert 0 == count_resource_history()\n      assert :ok == perform_job(ResourceHistoryJob, %{reuser_improved_data_id: reuser_improved_data_id})\n      assert 1 == count_resource_history()\n\n      ensure_no_tmp_files!(\"reuser_improved_data_\")\n\n      expected_zip_metadata = zip_metadata()\n\n      assert %DB.ResourceHistory{\n               resource_id: nil,\n               datagouv_id: nil,\n               payload: %{\n                 \"filenames\" => [\n                   \"ExportService.checksum.md5\",\n                   \"agency.txt\",\n                   \"calendar.txt\",\n                   \"calendar_dates.txt\",\n                   \"routes.txt\",\n                   \"stop_times.txt\",\n                   \"stops.txt\",\n                   \"transfers.txt\",\n                   \"trips.txt\"\n                 ],\n                 \"format\" => \"GTFS\",\n                 \"http_headers\" => %{\"content-type\" => \"application/octet-stream\"},\n                 \"total_compressed_size\" => 2_370,\n                 \"total_uncompressed_size\" => 10_685,\n                 \"filename\" => filename,\n                 \"permanent_url\" => permanent_url,\n                 \"zip_metadata\" => ^expected_zip_metadata,\n                 \"uuid\" => _uuid,\n                 \"download_datetime\" => _download_datetime\n               },\n               last_up_to_date_at: last_up_to_date_at\n             } = DB.ResourceHistory |> DB.Repo.one!()\n\n      assert permanent_url == Transport.S3.permanent_url(:history, filename)\n      refute is_nil(last_up_to_date_at)\n    end\n\n    test \"a simple successful case for a CSV\" do\n      csv_content = \"col1,col2\\nval1,val2\"\n      latest_schema_version = \"0.4.2\"\n\n      %DB.Resource{id: resource_id, dataset_id: dataset_id} =\n        insert(:resource,\n          url: resource_url = \"https://example.com/file.csv\",\n          latest_url: resource_latest_url = \"https://example.com/#{Ecto.UUID.generate()}\",\n          dataset: insert(:dataset, is_active: true),\n          format: \"csv\",\n          title: title = \"title\",\n          is_community_resource: false,\n          datagouv_id: datagouv_id = Ecto.UUID.generate(),\n          schema_name: schema_name = \"etalab/schema-lieux-covoiturage\",\n          schema_version: schema_version = \"0.4.1\"\n        )\n\n      setup_req_mock(resource_url, csv_content)\n      setup_aws_mock(resource_id)\n\n      Transport.Schemas.Mock\n      |> expect(:transport_schemas, 1, fn ->\n        %{schema_name => %{\"versions\" => [%{\"version_name\" => latest_schema_version}]}}\n      end)\n\n      assert 0 == count_resource_history()\n      assert :ok == perform_job(ResourceHistoryJob, %{resource_id: resource_id})\n      assert 1 == count_resource_history()\n\n      ensure_no_tmp_files!(\"resource_\")\n\n      content_hash = :sha256 |> :crypto.hash(csv_content) |> Base.encode16() |> String.downcase()\n\n      assert %DB.ResourceHistory{\n               resource_id: ^resource_id,\n               datagouv_id: ^datagouv_id,\n               payload: %{\n                 \"dataset_id\" => ^dataset_id,\n                 \"resource_url\" => ^resource_url,\n                 \"resource_latest_url\" => ^resource_latest_url,\n                 \"format\" => \"csv\",\n                 \"content_hash\" => ^content_hash,\n                 \"http_headers\" => %{\"content-type\" => \"application/octet-stream\"},\n                 \"title\" => ^title,\n                 \"filename\" => filename,\n                 \"permanent_url\" => permanent_url,\n                 \"uuid\" => _uuid,\n                 \"download_datetime\" => _download_datetime,\n                 \"schema_name\" => ^schema_name,\n                 \"schema_version\" => ^schema_version,\n                 \"latest_schema_version_to_date\" => ^latest_schema_version\n               },\n               last_up_to_date_at: last_up_to_date_at\n             } = DB.ResourceHistory |> DB.Repo.one!()\n\n      # Prevent a potential mistake when test data or code mix up schema versions\n      assert schema_version != latest_schema_version\n      assert permanent_url == Transport.S3.permanent_url(:history, filename)\n      refute is_nil(last_up_to_date_at)\n    end\n\n    test \"discards the job when the resource should not be historicised\" do\n      %DB.Resource{} =\n        resource =\n        insert(:resource,\n          url: \"https://example.com/gtfs.zip\",\n          dataset: insert(:dataset, is_active: true),\n          format: \"GTFS\",\n          title: \"title\",\n          is_community_resource: true\n        )\n\n      assert DB.Resource.community_resource?(resource)\n\n      assert {:cancel, \"Resource should not be historicised\"} ==\n               perform_job(ResourceHistoryJob, %{resource_id: resource.id})\n    end\n\n    test \"does not store resource again when it did not change\" do\n      resource_url = \"https://example.com/gtfs.zip\"\n\n      %{id: resource_id} =\n        insert(:resource,\n          url: resource_url,\n          dataset: insert(:dataset, is_active: true),\n          format: \"GTFS\",\n          title: \"title\",\n          is_community_resource: false\n        )\n\n      %{id: resource_history_id, updated_at: updated_at} =\n        insert(:resource_history,\n          resource_id: resource_id,\n          payload: %{\"zip_metadata\" => zip_metadata()}\n        )\n\n      setup_req_mock(resource_url, @gtfs_content)\n\n      assert 1 == count_resource_history()\n      assert :ok == perform_job(ResourceHistoryJob, %{resource_id: resource_id})\n      assert 1 == count_resource_history()\n\n      # check the updated_at field has been updated.\n      assert DB.ResourceHistory\n             |> DB.Repo.get!(resource_history_id)\n             |> Map.get(:updated_at)\n             |> DateTime.diff(updated_at, :microsecond) > 0\n\n      ensure_no_tmp_files!(\"resource_\")\n    end\n\n    test \"does not crash when there is a server error\" do\n      resource_url = \"https://example.com/gtfs.zip\"\n\n      %{id: resource_id} =\n        insert(:resource,\n          url: resource_url,\n          dataset: insert(:dataset, is_active: true),\n          format: \"GTFS\",\n          title: \"title\",\n          is_community_resource: false\n        )\n\n      setup_req_mock(resource_url, \"\", status: 500)\n\n      assert 0 == count_resource_history()\n      assert :ok == perform_job(ResourceHistoryJob, %{resource_id: resource_id})\n\n      ensure_no_tmp_files!(\"resource_\")\n    end\n  end\n\n  test \"historize and validate job workflow, with options\" do\n    job =\n      Transport.Jobs.ResourceHistoryJob.historize_and_validate_job(%{resource_id: resource_id = 123},\n        history_options: [unique: nil],\n        validation_custom_args: %{\"force_validation\" => true}\n      )\n\n    assert %{changes: %{args: %{jobs: jobs, first_job_args: %{resource_id: ^resource_id}}}} = job\n\n    assert [\n             [Transport.Jobs.ResourceHistoryJob, %{}, %{unique: nil}],\n             [Transport.Jobs.ResourceHistoryValidationJob, %{\"force_validation\" => true}, %{}]\n           ] = jobs\n  end\n\n  defp create_resources_for_history do\n    %DB.Dataset{id: active_dataset_id} = insert(:dataset, is_active: true, type: \"public-transit\")\n    %DB.Dataset{id: hidden_dataset_id} = insert(:dataset, is_active: true, is_hidden: true, type: \"public-transit\")\n    %DB.Dataset{id: inactive_dataset_id} = insert(:dataset, is_active: false, type: \"public-transit\")\n\n    %{id: id_gtfs} =\n      insert(:resource,\n        url: \"https://example.com/gtfs.zip\",\n        dataset_id: active_dataset_id,\n        format: \"GTFS\",\n        title: \"title\",\n        datagouv_id: \"1_gtfs\",\n        is_community_resource: false\n      )\n\n    %{id: id_netex} =\n      insert(:resource,\n        url: \"https://example.com/netex.zip\",\n        dataset_id: active_dataset_id,\n        format: \"NeTEx\",\n        title: \"title\",\n        datagouv_id: \"1_netex\",\n        is_community_resource: false\n      )\n\n    # Resources that should be ignored\n    insert(:resource,\n      url: \"https://example.com/gtfs.zip\",\n      dataset_id: active_dataset_id,\n      format: \"GTFS\",\n      title: \"Ignored because it's a community resource\",\n      datagouv_id: \"2\",\n      is_community_resource: true\n    )\n\n    insert(:resource,\n      url: \"https://example.com/gbfs\",\n      dataset_id: active_dataset_id,\n      format: \"gbfs\",\n      title: \"Ignored because it's realtime\",\n      datagouv_id: \"3\",\n      is_community_resource: false\n    )\n\n    insert(:resource,\n      url: \"https://example.com/gtfs.zip\",\n      dataset_id: inactive_dataset_id,\n      format: \"GTFS\",\n      title: \"Ignored because is not active\",\n      datagouv_id: \"5\",\n      is_community_resource: false\n    )\n\n    insert(:resource,\n      url: \"ftp://example.com/gtfs.zip\",\n      dataset_id: active_dataset_id,\n      format: \"GTFS\",\n      title: \"Ignored because is not available over HTTP\",\n      datagouv_id: \"6\",\n      is_community_resource: false\n    )\n\n    insert(:resource,\n      url: \"https://example.com/doc\",\n      dataset_id: active_dataset_id,\n      format: \"html\",\n      type: \"documentation\",\n      title: \"Ignored because it's a documentation\",\n      datagouv_id: \"7\",\n      is_community_resource: false\n    )\n\n    insert(:resource,\n      url: \"https://example.com/file\",\n      dataset: insert(:dataset, is_active: true, type: \"vehicles-sharing\"),\n      format: \"GTFS\",\n      title: \"Ignored because the dataset type is vehicles-sharing\",\n      datagouv_id: \"8\",\n      is_community_resource: false\n    )\n\n    insert(:resource,\n      url: \"https://example.com/file\",\n      dataset: insert(:dataset, is_active: true, type: \"charging-stations\", custom_tags: [\"skip_history\"]),\n      format: \"GTFS\",\n      title: \"Ignored because it has the `skip_history` custom tag\",\n      datagouv_id: \"9\",\n      is_community_resource: false\n    )\n\n    %{id: id_csv} =\n      insert(:resource,\n        url: \"https://example.com/file.csv\",\n        dataset_id: hidden_dataset_id,\n        format: \"csv\",\n        title: \"CSV file without a datagouv_id\",\n        datagouv_id: nil,\n        is_community_resource: false\n      )\n\n    [id_gtfs, id_netex, id_csv]\n  end\n\n  defp count_resource_history do\n    DB.Repo.one!(from(r in DB.ResourceHistory, select: count()))\n  end\n\n  defp count_resources do\n    DB.Repo.one!(from(r in DB.Resource, select: count()))\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/resource_history_jsonschema_validation_job_test.exs",
    "content": "defmodule Transport.Jobs.ResourceHistoryJSONSchemaValidationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Transport.Jobs.ResourceHistoryJSONSchemaValidationJob\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"can validate a single ResourceHistory\" do\n    %{id: resource_history_id} =\n      insert(:resource_history, %{\n        payload: %{\n          \"schema_name\" => sample_json_schema_name = \"sample_json_schema\",\n          \"schema_version\" => schema_version = \"0.4.2\",\n          \"permanent_url\" => permanent_url = \"https://example.com/permanent_url\"\n        }\n      })\n\n    Transport.Validators.JSONSchema.Mock\n    |> expect(:load_jsonschema_for_schema, fn ^sample_json_schema_name, ^schema_version ->\n      %ExJsonSchema.Schema.Root{\n        schema: %{\"properties\" => %{\"name\" => %{\"type\" => \"string\"}}, \"required\" => [\"name\"], \"type\" => \"object\"},\n        version: 7\n      }\n    end)\n\n    Transport.Validators.JSONSchema.Mock\n    |> expect(:validate, fn _schema, ^permanent_url ->\n      %{\"has_errors\" => false, \"errors_count\" => 0, \"errors\" => []}\n    end)\n\n    assert :ok == perform_job(ResourceHistoryJSONSchemaValidationJob, %{resource_history_id: resource_history_id})\n\n    assert %{\n             result: %{\"has_errors\" => false, \"errors_count\" => 0, \"errors\" => [], \"validation_performed\" => true},\n             resource_history_id: ^resource_history_id,\n             command: nil,\n             data_vis: nil,\n             validation_timestamp: _,\n             validator: \"EXJSONSchema\",\n             validator_version: validator_version\n           } = DB.MultiValidation.with_result() |> DB.Repo.get_by!(resource_history_id: resource_history_id)\n\n    assert \"0.\" <> _ = validator_version\n  end\n\n  test \"discards job if already validated\" do\n    rh = insert(:resource_history, %{payload: %{\"schema_name\" => Ecto.UUID.generate(), \"schema_version\" => \"0.1.2\"}})\n\n    insert(:multi_validation, %{\n      resource_history_id: rh.id,\n      validator: Transport.Validators.JSONSchema.validator_name()\n    })\n\n    assert {:cancel, _} = perform_job(ResourceHistoryJSONSchemaValidationJob, %{resource_history_id: rh.id})\n  end\n\n  test \"enqueues jobs for all ResourceHistory with a JSON Schema schema that have not been validated\" do\n    sample_json_schema_name = \"sample_json_schema\"\n    # needs validation: no MultiValidation\n    rh1 = insert(:resource_history, %{payload: %{\"schema_name\" => sample_json_schema_name}})\n    # does not need validation: already validated with the JSON Schema validator\n    rh2 = insert(:resource_history, %{payload: %{\"schema_name\" => sample_json_schema_name}})\n\n    insert(:multi_validation, %{\n      resource_history_id: rh2.id,\n      validator: Transport.Validators.JSONSchema.validator_name()\n    })\n\n    # needs validation: validated with another validator\n    rh3 = insert(:resource_history, %{payload: %{\"schema_name\" => sample_json_schema_name}})\n    insert(:multi_validation, %{resource_history_id: rh3.id, validator: Ecto.UUID.generate()})\n    # does not need validation: schema is not a JSON Schema\n    _rh4 = insert(:resource_history, %{payload: %{\"schema_name\" => Ecto.UUID.generate()}})\n\n    Transport.Schemas.Mock |> expect(:schemas_by_type, fn \"jsonschema\" -> %{sample_json_schema_name => %{}} end)\n\n    assert :ok == perform_job(ResourceHistoryJSONSchemaValidationJob, %{})\n\n    assert_enqueued(\n      worker: Transport.Jobs.ResourceHistoryJSONSchemaValidationJob,\n      args: %{\"resource_history_id\" => rh1.id}\n    )\n\n    assert_enqueued(\n      worker: Transport.Jobs.ResourceHistoryJSONSchemaValidationJob,\n      args: %{\"resource_history_id\" => rh3.id}\n    )\n\n    assert 2 == Enum.count(all_enqueued(worker: Transport.Jobs.ResourceHistoryJSONSchemaValidationJob))\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/resource_history_tableschema_validation_job_test.exs",
    "content": "defmodule Transport.Jobs.ResourceHistoryTableSchemaValidationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  alias Transport.Jobs.ResourceHistoryTableSchemaValidationJob\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"can validate a single ResourceHistory\" do\n    fake_validator_url = \"https://example.com/fake_validator_url\"\n    validata_api_version = \"1.2.3\"\n\n    %{id: resource_history_id} =\n      insert(:resource_history, %{\n        payload: %{\n          \"schema_name\" => schema_name = \"sample_tableschema\",\n          \"schema_version\" => schema_version = \"0.4.2\",\n          \"permanent_url\" => permanent_url = \"https://example.com/permanent_url\"\n        }\n      })\n\n    Transport.Validators.TableSchema.Mock\n    |> expect(:validate, fn ^schema_name, ^permanent_url, ^schema_version ->\n      %{\"has_errors\" => false, \"errors_count\" => 0, \"errors\" => [], \"validata_api_version\" => validata_api_version}\n    end)\n\n    Transport.Validators.TableSchema.Mock\n    |> expect(:validator_api_url, fn ^schema_name, ^permanent_url, ^schema_version ->\n      fake_validator_url\n    end)\n\n    assert :ok == perform_job(ResourceHistoryTableSchemaValidationJob, %{resource_history_id: resource_history_id})\n\n    assert %{\n             result: %{\"has_errors\" => false, \"errors_count\" => 0, \"errors\" => [], \"validation_performed\" => true},\n             resource_history_id: ^resource_history_id,\n             command: ^fake_validator_url,\n             data_vis: nil,\n             validation_timestamp: _,\n             validator: \"validata-api\",\n             validator_version: ^validata_api_version\n           } =\n             DB.MultiValidation.with_result()\n             |> DB.Repo.get_by!(resource_history_id: resource_history_id)\n  end\n\n  test \"discards job if already validated\" do\n    rh = insert(:resource_history, %{payload: %{\"schema_name\" => Ecto.UUID.generate()}})\n\n    insert(:multi_validation, %{\n      resource_history_id: rh.id,\n      validator: Transport.Validators.TableSchema.validator_name()\n    })\n\n    assert {:cancel, _} = perform_job(ResourceHistoryTableSchemaValidationJob, %{resource_history_id: rh.id})\n  end\n\n  test \"enqueues jobs for all ResourceHistory with a Table Schema schema that have not been validated\" do\n    schema_name = \"sample_tableschema\"\n    # needs validation: no MultiValidation\n    rh1 = insert(:resource_history, %{payload: %{\"schema_name\" => schema_name}})\n    # does not need validation: already validated with the Table Schema validator\n    rh2 = insert(:resource_history, %{payload: %{\"schema_name\" => schema_name}})\n\n    insert(:multi_validation, %{\n      resource_history_id: rh2.id,\n      validator: Transport.Validators.TableSchema.validator_name()\n    })\n\n    # needs validation: validated with another validator\n    rh3 = insert(:resource_history, %{payload: %{\"schema_name\" => schema_name}})\n    insert(:multi_validation, %{resource_history_id: rh3.id, validator: Ecto.UUID.generate()})\n    # does not need validation: schema is not a Table Schema\n    _rh4 = insert(:resource_history, %{payload: %{\"schema_name\" => Ecto.UUID.generate()}})\n\n    Transport.Schemas.Mock |> expect(:schemas_by_type, fn \"tableschema\" -> %{schema_name => %{}} end)\n\n    assert :ok == perform_job(ResourceHistoryTableSchemaValidationJob, %{})\n\n    assert_enqueued(\n      worker: Transport.Jobs.ResourceHistoryTableSchemaValidationJob,\n      args: %{\"resource_history_id\" => rh1.id}\n    )\n\n    assert_enqueued(\n      worker: Transport.Jobs.ResourceHistoryTableSchemaValidationJob,\n      args: %{\"resource_history_id\" => rh3.id}\n    )\n\n    assert 2 == Enum.count(all_enqueued(worker: Transport.Jobs.ResourceHistoryTableSchemaValidationJob))\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/resource_history_validation_job_test.exs",
    "content": "defmodule Transport.Jobs.ResourceHistoryValidationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  @formats [\"GTFS\", \"NeTEx\"]\n\n  def insert_data(validator_name, format) do\n    rh = insert(:resource)\n\n    # already validated\n    already_validated = insert(:resource_history, %{payload: %{\"format\" => format}})\n    insert(:multi_validation, %{resource_history_id: already_validated.id, validator: validator_name})\n\n    # pending validation\n    pending1 =\n      insert(:resource_history, %{payload: %{\"format\" => format}, resource_id: rh.id, inserted_at: DateTime.utc_now()})\n\n    insert(:multi_validation, %{resource_history_id: pending1.id, validator: \"coucou\"})\n\n    pending2 =\n      insert(:resource_history, %{\n        payload: %{\"format\" => format},\n        resource_id: rh.id,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-600)\n      })\n\n    %{already_validated: already_validated, pending: [pending1, pending2]}\n  end\n\n  for format <- @formats do\n    describe format do\n      @describetag format: format\n\n      test \"validate all resource history, fixed format and validator\", %{format: format} do\n        validator = Transport.Validators.Dummy\n        validator_string = validator |> to_string()\n        validator_name = validator.validator_name()\n\n        %{pending: [pending1, pending2]} = insert_data(validator_name, format)\n\n        assert :ok =\n                 Transport.Jobs.ResourceHistoryValidationJob\n                 |> perform_job(%{\"format\" => format, \"validator\" => validator_string})\n\n        assert_enqueued(\n          worker: Transport.Jobs.ResourceHistoryValidationJob,\n          args: %{\"resource_history_id\" => pending1.id, \"validator\" => validator, \"force_validation\" => false}\n        )\n\n        assert_enqueued(\n          worker: Transport.Jobs.ResourceHistoryValidationJob,\n          args: %{\"resource_history_id\" => pending2.id, \"validator\" => validator, \"force_validation\" => false}\n        )\n\n        assert 2 == Enum.count(all_enqueued(worker: Transport.Jobs.ResourceHistoryValidationJob))\n      end\n\n      test \"validate all resource history, fixed format and validator - forced mode\", %{format: format} do\n        validator = Transport.Validators.Dummy\n        validator_string = validator |> to_string()\n        validator_name = validator.validator_name()\n\n        %{already_validated: already_validated, pending: [pending1, pending2]} = insert_data(validator_name, format)\n\n        assert :ok =\n                 Transport.Jobs.ResourceHistoryValidationJob\n                 |> perform_job(%{\"format\" => format, \"validator\" => validator_string, \"force_validation\" => true})\n\n        # already_validated is validated, because validation is forced\n        assert_enqueued(\n          worker: Transport.Jobs.ResourceHistoryValidationJob,\n          args: %{\"resource_history_id\" => already_validated.id, \"validator\" => validator, \"force_validation\" => true}\n        )\n\n        assert_enqueued(\n          worker: Transport.Jobs.ResourceHistoryValidationJob,\n          args: %{\"resource_history_id\" => pending1.id, \"validator\" => validator, \"force_validation\" => true}\n        )\n\n        assert_enqueued(\n          worker: Transport.Jobs.ResourceHistoryValidationJob,\n          args: %{\"resource_history_id\" => pending2.id, \"validator\" => validator, \"force_validation\" => true}\n        )\n\n        assert 3 == Enum.count(all_enqueued(worker: Transport.Jobs.ResourceHistoryValidationJob))\n      end\n\n      test \"validate only latest resource history, fixed format and validator - forced mode\", %{format: format} do\n        validator = Transport.Validators.Dummy\n        validator_string = validator |> to_string()\n        validator_name = validator.validator_name()\n\n        %{already_validated: already_validated, pending: [pending1, _pending2]} = insert_data(validator_name, format)\n\n        assert :ok =\n                 Transport.Jobs.ResourceHistoryValidationJob\n                 |> perform_job(%{\n                   \"format\" => format,\n                   \"validator\" => validator_string,\n                   \"force_validation\" => true,\n                   \"only_latest_resource_history\" => true\n                 })\n\n        # already_validated is validated, because validation is forced\n        assert_enqueued(\n          worker: Transport.Jobs.ResourceHistoryValidationJob,\n          args: %{\"resource_history_id\" => already_validated.id, \"validator\" => validator, \"force_validation\" => true}\n        )\n\n        assert_enqueued(\n          worker: Transport.Jobs.ResourceHistoryValidationJob,\n          args: %{\"resource_history_id\" => pending1.id, \"validator\" => validator, \"force_validation\" => true}\n        )\n\n        # pending2 is not enqueued, because pending1 is the latest resource history for that resource\n\n        assert 2 == Enum.count(all_enqueued(worker: Transport.Jobs.ResourceHistoryValidationJob))\n      end\n    end\n  end\n\n  test \"validate a resource history with one validator\" do\n    rh1 = insert(:resource_history)\n\n    assert :ok =\n             Transport.Jobs.ResourceHistoryValidationJob\n             |> perform_job(%{\n               \"resource_history_id\" => rh1.id,\n               \"validator\" => Transport.Validators.Dummy |> to_string()\n             })\n\n    # dummy validator sends a message for testing\n    assert_received :validate!\n  end\n\n  test \"GTFS-Flex is validated with the MobilityData one\" do\n    permanent_url = \"https://example.com/gtfs\"\n    job_id = Ecto.UUID.generate()\n    report_html_url = \"https://example.com/#{job_id}/report.html\"\n\n    rh =\n      insert(:resource_history,\n        payload: %{\n          \"format\" => \"GTFS\",\n          \"filenames\" => [\"locations.geojson\", \"stops.txt\"],\n          \"permanent_url\" => permanent_url\n        }\n      )\n\n    assert DB.ResourceHistory.gtfs_flex?(rh)\n\n    Transport.ValidatorsSelection.Mock\n    |> expect(:validators, 1, fn ^rh ->\n      [Transport.Validators.MobilityDataGTFSValidator]\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :create_a_validation, fn ^permanent_url ->\n      job_id\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :get_a_validation, fn ^job_id ->\n      notices = [\n        %{\n          \"code\" => \"unusable_trip\",\n          \"severity\" => \"WARNING\",\n          \"totalNotices\" => 2,\n          \"sampleNotices\" => [%{\"foo\" => \"bar\"}]\n        }\n      ]\n\n      report = %{\"summary\" => %{\"validatorVersion\" => \"4.2.0\"}, \"notices\" => notices}\n      {:successful, report}\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :report_html_url, fn ^job_id ->\n      report_html_url\n    end)\n\n    assert :ok ==\n             Transport.Jobs.ResourceHistoryValidationJob\n             |> perform_job(%{\"resource_history_id\" => rh.id})\n  end\n\n  test \"all validations for one resource history\" do\n    %{id: resource_history_id} = resource_history = insert(:resource_history, %{payload: %{\"format\" => \"GTFS\"}})\n\n    Transport.ValidatorsSelection.Mock\n    |> expect(:validators, 1, fn ^resource_history ->\n      [Transport.Validators.Dummy, Transport.Validators.Dummy]\n    end)\n\n    assert :ok =\n             Transport.Jobs.ResourceHistoryValidationJob\n             |> perform_job(%{\"resource_history_id\" => resource_history_id})\n\n    # validation has been launched twice\n    assert_received :validate!\n    assert_received :validate!\n  end\n\n  test \"single resource history validation\" do\n    rh = insert(:resource_history)\n    validator = Transport.Validators.Dummy\n    validator_string = validator |> to_string()\n    validator_name = validator.validator_name()\n\n    assert :ok =\n             Transport.Jobs.ResourceHistoryValidationJob\n             |> perform_job(%{\"resource_history_id\" => rh.id, \"validator\" => validator_string})\n\n    # validation is performed\n    assert_received :validate!\n\n    # we insert manually a mv\n    mv = insert(:multi_validation, resource_history_id: rh.id, validator: validator_name)\n    md = insert(:resource_metadata, multi_validation_id: mv.id)\n\n    # validation is skipped\n    assert {:cancel, msg} =\n             Transport.Jobs.ResourceHistoryValidationJob\n             |> perform_job(%{\"resource_history_id\" => rh.id, \"validator\" => validator_string})\n\n    assert msg =~ \"already validated\"\n\n    # we force the validation\n    assert :ok =\n             Transport.Jobs.ResourceHistoryValidationJob\n             |> perform_job(%{\n               \"resource_history_id\" => rh.id,\n               \"validator\" => validator_string,\n               \"force_validation\" => true\n             })\n\n    # existing validation & metadata have been deleted\n    assert is_nil(DB.Repo.reload(mv))\n    assert is_nil(DB.Repo.reload(md))\n\n    # validation is called\n    assert_received :validate!\n  end\n\n  test \"single resource history validation, all validators\" do\n    rh = insert(:resource_history)\n    validator = Transport.Validators.Dummy\n\n    Transport.ValidatorsSelection.Mock\n    |> expect(:validators, 3, fn ^rh ->\n      [validator]\n    end)\n\n    assert :ok =\n             Transport.Jobs.ResourceHistoryValidationJob\n             |> perform_job(%{\"resource_history_id\" => rh.id})\n\n    # validation is performed\n    assert_received :validate!\n\n    # we insert manually a mv\n    mv = insert(:multi_validation, resource_history_id: rh.id, validator: validator.validator_name())\n    md = insert(:resource_metadata, multi_validation_id: mv.id)\n\n    # validation is skipped\n    assert :ok =\n             Transport.Jobs.ResourceHistoryValidationJob\n             |> perform_job(%{\"resource_history_id\" => rh.id})\n\n    refute_receive :validate!, 50\n\n    # we force the validation\n    assert :ok =\n             Transport.Jobs.ResourceHistoryValidationJob\n             |> perform_job(%{\n               \"resource_history_id\" => rh.id,\n               \"force_validation\" => true\n             })\n\n    # existing validation & metadata have been deleted\n    assert is_nil(DB.Repo.reload(mv))\n    assert is_nil(DB.Repo.reload(md))\n\n    # validation is called\n    assert_received :validate!\n  end\n\n  # wait for https://github.com/sorentwo/oban/issues/704 response\n  # test \"job uniqueness for a resource_history validation\" do\n  #   %{\"resource_history_id\" => 1, \"validator\" => \"Elixir.Transport.Validators.Dummy\"}\n  #   |> Transport.Jobs.ResourceHistoryValidationJob.new()\n  #   |> Oban.insert()\n\n  #   %{\"resource_history_id\" => 1, \"validator\" => \"Elixir.Transport.Validators.Dummy\"}\n  #   |> Transport.Jobs.ResourceHistoryValidationJob.new()\n  #   |> Oban.insert()\n\n  #   %{resource_history_id: 2, validator: \"Elixir.Transport.Validators.Dummy\"}\n  #   |> Transport.Jobs.ResourceHistoryValidationJob.new()\n  #   |> Oban.insert()\n\n  #   %{}\n  #   |> Transport.Jobs.ResourceHistoryValidationJob.new()\n  #   |> Oban.insert()\n\n  #   %{}\n  #   |> Transport.Jobs.ResourceHistoryValidationJob.new()\n  #   |> Oban.insert()\n\n  #   assert jobs = all_enqueued()\n  #   assert 2 == length(jobs)\n  # end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/resource_unavailable_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ResourceUnavailableJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  use Oban.Testing, repo: DB.Repo\n\n  alias DB.{Repo, Resource, ResourceUnavailability}\n  alias Transport.Jobs.{ResourcesUnavailableDispatcherJob, ResourceUnavailableJob}\n  import Ecto.Query\n  import Mox\n\n  setup :verify_on_exit!\n\n  @resource_url \"https://example.com/gtfs.zip\"\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(Repo)\n  end\n\n  describe \"ResourcesUnavailableDispatcherJob\" do\n    test \"resources_to_check with not only unavailable\" do\n      resource_id = create_resources()\n      assert 4 == count_resources()\n      assert [resource_id] == ResourcesUnavailableDispatcherJob.resources_to_check(false)\n    end\n\n    test \"resources_to_check with only unavailable\" do\n      assert [] == ResourcesUnavailableDispatcherJob.resources_to_check(true)\n\n      create_resources()\n      assert count_resources() > 1\n      resource = insert(:resource)\n      insert(:resource_unavailability, resource: resource, start: hours_ago(5))\n      insert(:resource_unavailability, resource: build(:resource), start: hours_ago(5), end: hours_ago(3))\n      assert [resource.id] == ResourcesUnavailableDispatcherJob.resources_to_check(true)\n    end\n\n    test \"a simple successful case\" do\n      resource_id = create_resources()\n\n      assert count_resources() > 1\n      assert :ok == perform_job(ResourcesUnavailableDispatcherJob, %{})\n      assert [%{args: %{\"resource_id\" => ^resource_id}}] = all_enqueued(worker: ResourceUnavailableJob)\n      refute_enqueued(worker: ResourcesUnavailableDispatcherJob)\n    end\n\n    test \"includes hidden datasets\" do\n      %DB.Resource{id: resource_id} =\n        insert(:resource,\n          dataset: insert(:dataset, is_active: true),\n          is_community_resource: false,\n          url: \"https://example.com/#{Ecto.UUID.generate()}\"\n        )\n\n      %DB.Resource{id: other_resource_id} =\n        insert(:resource,\n          dataset: insert(:dataset, is_active: true, is_hidden: true),\n          is_community_resource: false,\n          url: \"https://example.com/#{Ecto.UUID.generate()}\"\n        )\n\n      assert MapSet.new([resource_id, other_resource_id]) ==\n               MapSet.new(ResourcesUnavailableDispatcherJob.resources_to_check(false))\n    end\n  end\n\n  describe \"ResourceUnavailableJob\" do\n    test \"when there are no unavailabilities\" do\n      assert 0 == count_resource_unavailabilities()\n      resource = available_resource()\n      resource_id = resource.id\n\n      setup_mock_unavailable()\n\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource_id})\n\n      assert 1 == count_resource_unavailabilities()\n      %ResourceUnavailability{resource_id: ^resource_id, start: start, end: nil} = ResourceUnavailability |> Repo.one!()\n      assert DateTime.diff(DateTime.utc_now(), start) <= 1\n      assert %DB.Resource{is_available: false} = Repo.reload(resource)\n    end\n\n    test \"when there is an ongoing unavailability and the resource stays unavailable\" do\n      resource = unavailable_resource()\n      resource_id = resource.id\n      start = 2 |> hours_ago()\n      insert(:resource_unavailability, resource: resource, start: start)\n      assert 1 == count_resource_unavailabilities()\n\n      setup_mock_unavailable()\n\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource_id})\n\n      %ResourceUnavailability{resource_id: ^resource_id, start: ^start, end: nil} =\n        ResourceUnavailability |> Repo.one!()\n\n      assert %DB.Resource{is_available: false} = Repo.reload(resource)\n    end\n\n    test \"when there is an ongoing unavailability and the resource is now available\" do\n      resource = unavailable_resource()\n      resource_id = resource.id\n      start = 2 |> hours_ago()\n      insert(:resource_unavailability, resource: resource, start: start)\n      assert 1 == count_resource_unavailabilities()\n\n      setup_mock_available()\n\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource_id})\n\n      %ResourceUnavailability{resource_id: ^resource_id, start: ^start, end: date_end} =\n        ResourceUnavailability |> Repo.one!()\n\n      assert DateTime.diff(DateTime.utc_now(), date_end) <= 1\n      assert %DB.Resource{is_available: true} = Repo.reload(resource)\n    end\n\n    test \"when there are no unavailabilities and the resource is available\" do\n      resource = available_resource()\n      assert 0 == count_resource_unavailabilities()\n\n      setup_mock_available()\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource.id})\n\n      assert 0 == count_resource_unavailabilities()\n      assert %DB.Resource{is_available: true} = Repo.reload(resource)\n    end\n\n    test \"uses latest_url when relevant\" do\n      resource =\n        insert(:resource,\n          url: \"https://static.data.gouv.fr/gtfs.zip\",\n          latest_url: latest_url = \"https://static.data.gouv.fr/latest_url\",\n          is_available: true,\n          datagouv_id: \"foo\",\n          dataset: insert(:dataset)\n        )\n\n      Transport.AvailabilityChecker.Mock |> expect(:available?, fn _format, ^latest_url -> true end)\n\n      assert DB.Resource.download_url(resource) == latest_url\n\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource.id})\n\n      assert 0 == count_resource_unavailabilities()\n      assert %DB.Resource{is_available: true} = Repo.reload(resource)\n    end\n\n    test \"updates the resource's url when needed\" do\n      %{id: resource_id} =\n        resource =\n        insert(:resource,\n          url: url = \"https://static.data.gouv.fr/gtfs.zip\",\n          latest_url: latest_url = \"https://static.data.gouv.fr/latest_url\",\n          is_available: true,\n          datagouv_id: \"foo\",\n          filetype: \"file\"\n        )\n\n      new_url = \"#{url}##{Ecto.UUID.generate()}\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^latest_url ->\n        {:ok, %HTTPoison.Response{status_code: 302, headers: [{\"location\", new_url}]}}\n      end)\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^new_url ->\n        {:ok, %HTTPoison.Response{status_code: 200}}\n      end)\n\n      # `Transport.AvailabilityChecker.Mock` is not called\n\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource.id})\n\n      assert 0 == count_resource_unavailabilities()\n      assert %DB.Resource{is_available: true, url: ^new_url} = Repo.reload(resource)\n\n      assert [\n               %{\n                 args: %{\n                   \"first_job_args\" => %{\"resource_id\" => ^resource_id},\n                   \"jobs\" => [\n                     [\"Elixir.Transport.Jobs.ResourceHistoryJob\", _, _],\n                     [\"Elixir.Transport.Jobs.ResourceHistoryValidationJob\", %{}, %{}]\n                   ]\n                 }\n               }\n             ] = all_enqueued(worker: Transport.Jobs.Workflow)\n    end\n\n    test \"updates the resource's URL and requests the final URL only once\" do\n      %{id: resource_id} =\n        resource =\n        insert(:resource,\n          url: url = \"https://static.data.gouv.fr/gtfs.zip\",\n          latest_url: latest_url = \"https://static.data.gouv.fr/latest_url\",\n          is_available: true,\n          datagouv_id: \"foo\",\n          filetype: \"file\"\n        )\n\n      new_url = \"#{url}##{Ecto.UUID.generate()}\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^latest_url ->\n        {:ok, %HTTPoison.Response{status_code: 303, headers: [{\"location\", new_url}]}}\n      end)\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^new_url ->\n        {:ok, %HTTPoison.Response{status_code: 200}}\n      end)\n\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource.id})\n\n      assert 0 == count_resource_unavailabilities()\n      assert %DB.Resource{is_available: true, url: ^new_url} = Repo.reload(resource)\n\n      assert [\n               %{\n                 args: %{\n                   \"first_job_args\" => %{\"resource_id\" => ^resource_id},\n                   \"jobs\" => [\n                     [\"Elixir.Transport.Jobs.ResourceHistoryJob\", _, _],\n                     [\"Elixir.Transport.Jobs.ResourceHistoryValidationJob\", %{}, %{}]\n                   ]\n                 }\n               }\n             ] = all_enqueued(worker: Transport.Jobs.Workflow)\n    end\n\n    test \"does not update resource.url if the status code is 404\" do\n      %DB.Resource{} =\n        resource =\n        insert(:resource,\n          url: url = \"https://static.data.gouv.fr/gtfs.zip\",\n          latest_url: latest_url = \"https://www.data.gouv.fr/latest_url\",\n          is_available: true,\n          datagouv_id: \"foo\",\n          filetype: \"file\",\n          dataset: insert(:dataset)\n        )\n\n      expect(Transport.HTTPoison.Mock, :get, fn ^latest_url ->\n        {:ok, %HTTPoison.Response{status_code: 404}}\n      end)\n\n      expect(Transport.AvailabilityChecker.Mock, :available?, fn _format, ^latest_url -> false end)\n\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource.id})\n\n      assert 1 == count_resource_unavailabilities()\n      assert %DB.Resource{is_available: false, url: ^url} = Repo.reload(resource)\n      assert [] == all_enqueued()\n    end\n\n    test \"performs a GET request and allows a 401 response for a SIRI resource\" do\n      resource =\n        insert(:resource,\n          url: url = \"https://example.com/stop-monitoring\",\n          latest_url: \"https://static.data.gouv.fr/latest_url\",\n          is_available: true,\n          format: \"SIRI\",\n          datagouv_id: \"foo\",\n          dataset: insert(:dataset)\n        )\n\n      Transport.AvailabilityChecker.Mock\n      |> expect(:available?, fn \"SIRI\", ^url -> true end)\n\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource.id})\n\n      assert 0 == count_resource_unavailabilities()\n      assert %DB.Resource{is_available: true} = Repo.reload(resource)\n    end\n\n    test \"resource in skip list is always marked as available even if unavailable\" do\n      resource = unavailable_resource()\n      resource_id = resource.id\n      start = 2 |> hours_ago()\n      insert(:resource_unavailability, resource: resource, start: start)\n      assert 1 == count_resource_unavailabilities()\n\n      # Configure this resource to be skipped\n      Application.put_env(:transport, :resource_unavailable_skip_resource_ids, [resource_id])\n\n      on_exit(fn ->\n        Application.put_env(:transport, :resource_unavailable_skip_resource_ids, [])\n      end)\n\n      # No mock for AvailabilityChecker - it should not be called\n\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource_id})\n\n      # The unavailability should be closed\n      %ResourceUnavailability{resource_id: ^resource_id, start: ^start, end: date_end} =\n        ResourceUnavailability |> Repo.one!()\n\n      assert DateTime.diff(DateTime.utc_now(), date_end) <= 1\n      assert %DB.Resource{is_available: true} = Repo.reload(resource)\n    end\n\n    test \"resource not in skip list is checked normally\" do\n      resource = available_resource()\n      resource_id = resource.id\n      other_resource_id = resource_id + 1000\n\n      # Configure a different resource to be skipped\n      Application.put_env(:transport, :resource_unavailable_skip_resource_ids, [other_resource_id])\n\n      on_exit(fn ->\n        Application.put_env(:transport, :resource_unavailable_skip_resource_ids, [])\n      end)\n\n      # The availability checker should be called for this resource\n      setup_mock_unavailable()\n\n      assert :ok == perform_job(ResourceUnavailableJob, %{\"resource_id\" => resource_id})\n\n      # Resource should be marked as unavailable\n      assert 1 == count_resource_unavailabilities()\n      assert %DB.Resource{is_available: false} = Repo.reload(resource)\n    end\n  end\n\n  defp unavailable_resource, do: new_resource(false)\n  defp available_resource, do: new_resource(true)\n\n  defp new_resource(is_available) do\n    insert(:resource, url: @resource_url, is_available: is_available, dataset: insert(:dataset))\n  end\n\n  defp setup_mock_unavailable do\n    url = @resource_url\n\n    Transport.AvailabilityChecker.Mock\n    |> expect(:available?, fn _format, ^url -> false end)\n  end\n\n  defp setup_mock_available do\n    url = @resource_url\n\n    Transport.AvailabilityChecker.Mock\n    |> expect(:available?, fn _format, ^url -> true end)\n  end\n\n  defp count_resources do\n    Repo.one!(from(r in Resource, select: count()))\n  end\n\n  defp count_resource_unavailabilities do\n    Repo.one!(from(r in ResourceUnavailability, select: count()))\n  end\n\n  defp hours_ago(hours) when hours > 0 do\n    DateTime.utc_now() |> DateTime.add(-hours * 60 * 60, :second) |> DateTime.truncate(:second)\n  end\n\n  defp create_resources do\n    %{id: active_dataset_id} = insert(:dataset, is_active: true)\n    %{id: inactive_dataset_id} = insert(:dataset, is_active: false)\n\n    %{id: resource_id} =\n      insert(:resource,\n        url: \"https://example.com/gtfs.zip\",\n        dataset_id: active_dataset_id,\n        is_community_resource: false\n      )\n\n    # Resources that should be ignored\n    insert(:resource,\n      url: \"https://example.com/gtfs.zip\",\n      dataset_id: active_dataset_id,\n      title: \"Ignored because it's a community resource\",\n      is_community_resource: true\n    )\n\n    insert(:resource,\n      url: \"https://example.com/gtfs.zip\",\n      dataset_id: inactive_dataset_id,\n      title: \"Ignored because is not active\",\n      is_community_resource: false\n    )\n\n    insert(:resource,\n      url: \"ftp://example.com/gtfs.zip\",\n      dataset_id: active_dataset_id,\n      title: \"Ignored because is not available over HTTP\",\n      is_community_resource: false\n    )\n\n    resource_id\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/resource_unavailable_notification_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ResourceUnavailableNotificationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Ecto.Query\n  import Mox\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.ResourceUnavailableNotificationJob\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"relevant_unavailabilities\" do\n    dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true)\n    gtfs_resource = insert(:resource, dataset: dataset, format: \"GTFS\")\n\n    other_dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true)\n    geojson_resource = insert(:resource, dataset: other_dataset, format: \"geojson\")\n\n    assert [] == ResourceUnavailableNotificationJob.relevant_unavailabilities(DateTime.utc_now())\n\n    insert(:resource_unavailability,\n      start: DateTime.add(DateTime.utc_now(), -6 * 60 - 15, :minute),\n      end: nil,\n      resource_id: gtfs_resource.id\n    )\n\n    # Ignored because it's ongoing but started 7 hours ago\n    insert(:resource_unavailability,\n      start: DateTime.add(DateTime.utc_now(), -7, :hour),\n      end: nil,\n      resource_id: geojson_resource.id\n    )\n\n    assert [dataset.id] ==\n             DateTime.utc_now()\n             |> ResourceUnavailableNotificationJob.relevant_unavailabilities()\n             |> Enum.map(&elem(&1, 0).id)\n  end\n\n  test \"perform\" do\n    # 2 datasets in scope: 1 GTFS dataset with a resource, another dataset with 2 resources\n    # All resources are currently down for [6h00 ; 6h30]\n    %{id: dataset_id} = dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true, custom_title: \"Mon JDD\")\n\n    %{id: gtfs_dataset_id} =\n      gtfs_dataset = insert(:dataset, slug: Ecto.UUID.generate(), is_active: true, custom_title: \"Dataset GTFS\")\n\n    %DB.Resource{id: resource_1_id} =\n      resource_1 =\n      insert(:resource,\n        dataset: dataset,\n        format: \"geojson\",\n        title: \"GeoJSON 1\",\n        url: \"https://static.data.gouv.fr/file.geojson\"\n      )\n\n    %DB.Resource{id: resource_2_id} =\n      resource_2 =\n      insert(:resource,\n        dataset: dataset,\n        format: \"geojson\",\n        title: \"GeoJSON 2\",\n        url: \"https://static.data.gouv.fr/other_file.geojson\"\n      )\n\n    %DB.Resource{id: resource_gtfs_id} =\n      resource_gtfs = insert(:resource, dataset: gtfs_dataset, format: \"GTFS\", url: \"https://example/file.zip\")\n\n    insert(:resource_unavailability,\n      start: DateTime.add(DateTime.utc_now(), -6 * 60 - 29, :minute),\n      end: nil,\n      resource_id: resource_1.id\n    )\n\n    insert(:resource_unavailability,\n      start: DateTime.add(DateTime.utc_now(), -6 * 60, :minute),\n      end: nil,\n      resource_id: resource_2.id\n    )\n\n    insert(:resource_unavailability,\n      start: DateTime.add(DateTime.utc_now(), -6 * 60 - 15, :minute),\n      end: nil,\n      resource_id: resource_gtfs.id\n    )\n\n    already_sent_email = \"alreadysent@example.fr\"\n    insert_notification(%{dataset: dataset, role: :producer, reason: :resource_unavailable, email: already_sent_email})\n    # Should be ignored because this is for another reason\n    insert_notification(%{dataset: dataset, role: :producer, reason: :expiration, email: \"foo@example.com\"})\n    # Should be ignored because it's for another dataset\n    insert_notification(%{\n      dataset: gtfs_dataset,\n      role: :producer,\n      reason: :resource_unavailable,\n      email: \"foo@example.com\"\n    })\n\n    # Should be ignored because it's too old\n    %{\n      dataset: dataset,\n      role: :producer,\n      reason: :resource_unavailable,\n      email: \"foo@example.com\",\n      inserted_at: add_hours(-25)\n    }\n    |> insert_notification()\n\n    setup_dataset_response(dataset, resource_1.url, DateTime.utc_now() |> DateTime.add(-6, :hour))\n\n    %DB.Contact{id: already_sent_contact_id} = insert_contact(%{email: already_sent_email})\n    %DB.Contact{id: foo_contact_id} = foo_contact = insert_contact(%{email: \"foo@example.com\"})\n    %DB.Contact{id: reuser_contact_id} = reuser_contact = insert_contact(%{email: reuser_email = \"reuser@example.com\"})\n\n    insert(:notification_subscription, %{\n      reason: :resource_unavailable,\n      source: :admin,\n      role: :producer,\n      contact_id: already_sent_contact_id,\n      dataset_id: dataset.id\n    })\n\n    %DB.NotificationSubscription{id: ns_1} =\n      insert(:notification_subscription, %{\n        reason: :resource_unavailable,\n        source: :admin,\n        role: :producer,\n        contact_id: foo_contact_id,\n        dataset_id: dataset.id\n      })\n\n    %DB.NotificationSubscription{id: ns_2} =\n      insert(:notification_subscription, %{\n        reason: :resource_unavailable,\n        source: :user,\n        role: :reuser,\n        contact_id: reuser_contact_id,\n        dataset_id: dataset.id\n      })\n\n    %DB.Contact{id: bar_contact_id} = bar_contact = insert_contact(%{email: \"bar@example.com\"})\n\n    %DB.NotificationSubscription{id: ns_3} =\n      insert(:notification_subscription, %{\n        reason: :resource_unavailable,\n        source: :admin,\n        role: :producer,\n        contact_id: bar_contact_id,\n        dataset_id: gtfs_dataset.id\n      })\n\n    assert :ok == perform_job(ResourceUnavailableNotificationJob, %{})\n\n    # Emails have been sent\n    display_name = DB.Contact.display_name(foo_contact)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{^display_name, \"foo@example.com\"}],\n                           subject: subject,\n                           html_body: html_part\n                         } ->\n      assert subject == \"Ressources indisponibles dans le jeu de données #{dataset.custom_title}\"\n\n      assert html_part =~\n               ~s(Les ressources #{resource_1.title}, #{resource_2.title} dans votre jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a> ne sont plus disponibles au téléchargement depuis plus de 6h.)\n\n      assert html_part =~ \"Il semble que vous ayez supprimé puis créé une nouvelle ressource\"\n\n      assert html_part =~\n               ~s(rendez-vous sur votre <a href=\"http://127.0.0.1:5100/espace_producteur?utm_source=transactional_email&amp;utm_medium=email&amp;utm_campaign=resource_unavailable_producer\">Espace Producteur</a> à partir duquel vous pourrez procéder à ces mises à jour)\n    end)\n\n    display_name = DB.Contact.display_name(reuser_contact)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{^display_name, ^reuser_email}],\n                           subject: subject,\n                           html_body: html_part\n                         } ->\n      assert subject == \"Ressources indisponibles dans le jeu de données #{dataset.custom_title}\"\n\n      assert html_part =~\n               ~s(Les ressources #{resource_1.title}, #{resource_2.title} du jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a> que vous réutilisez ne sont plus disponibles au téléchargement depuis plus de 6h.)\n\n      assert html_part =~ \"Nous avons déjà informé le producteur de ces données.\"\n    end)\n\n    display_name = DB.Contact.display_name(bar_contact)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{^display_name, \"bar@example.com\"}],\n                           subject: subject,\n                           html_body: html_part\n                         } ->\n      assert subject == \"Ressources indisponibles dans le jeu de données #{gtfs_dataset.custom_title}\"\n\n      assert html_part =~\n               ~s(Les ressources #{resource_gtfs.title} dans votre jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{gtfs_dataset.slug}\">#{gtfs_dataset.custom_title}</a> ne sont plus disponibles au téléchargement depuis plus de 6h.)\n\n      refute html_part =~ \"Il semble que vous ayez supprimé puis créé une nouvelle ressource\"\n\n      assert html_part =~\n               \"Nous vous invitons à corriger l’accès à vos données dès que possible afin de ne pas perturber leur réutilisation.\"\n    end)\n\n    assert_no_email_sent()\n\n    # Logs have been saved\n    recent_dt = DateTime.utc_now() |> DateTime.add(-1, :second)\n\n    assert DB.Notification |> DB.Repo.aggregate(:count) == 7\n\n    assert %DB.Notification{\n             notification_subscription_id: ^ns_1,\n             role: :producer,\n             payload: %{\n               \"deleted_recreated_on_datagouv\" => true,\n               \"hours_consecutive_downtime\" => 6,\n               \"attempt\" => 1,\n               \"resource_ids\" => [^resource_1_id, ^resource_2_id],\n               \"job_id\" => job_id_1\n             }\n           } =\n             DB.Notification.base_query()\n             |> where(\n               [notification: n],\n               n.email_hash == ^\"foo@example.com\" and n.inserted_at >= ^recent_dt and n.reason == :resource_unavailable and\n                 n.dataset_id == ^dataset_id\n             )\n             |> DB.Repo.one!()\n\n    assert %DB.Notification{\n             notification_subscription_id: ^ns_2,\n             dataset_id: ^dataset_id,\n             reason: :resource_unavailable,\n             role: :reuser,\n             payload: %{\n               \"hours_consecutive_downtime\" => 6,\n               \"attempt\" => 1,\n               \"producer_warned\" => true,\n               \"resource_ids\" => [^resource_1_id, ^resource_2_id],\n               \"job_id\" => job_id_2\n             }\n           } =\n             DB.Notification.base_query()\n             |> where([notification: n], n.email_hash == ^reuser_email and n.inserted_at >= ^recent_dt)\n             |> DB.Repo.one!()\n\n    assert %DB.Notification{\n             notification_subscription_id: ^ns_3,\n             dataset_id: ^gtfs_dataset_id,\n             role: :producer,\n             reason: :resource_unavailable,\n             payload: %{\n               \"deleted_recreated_on_datagouv\" => false,\n               \"hours_consecutive_downtime\" => 6,\n               \"attempt\" => 1,\n               \"resource_ids\" => [^resource_gtfs_id],\n               \"job_id\" => job_id_3\n             }\n           } =\n             DB.Notification.base_query()\n             |> where([notification: n], n.email_hash == ^\"bar@example.com\" and n.inserted_at >= ^recent_dt)\n             |> DB.Repo.one!()\n\n    assert MapSet.new([job_id_1, job_id_2, job_id_3]) |> Enum.count() == 1\n\n    assert [\n             %Oban.Job{\n               worker: \"Transport.Jobs.ResourceUnavailableNotificationJob\",\n               args: %{\n                 \"dataset_id\" => ^gtfs_dataset_id,\n                 \"resource_ids\" => [^resource_gtfs_id],\n                 \"hours_consecutive_downtime\" => 30,\n                 \"attempt\" => 2\n               },\n               state: \"scheduled\",\n               scheduled_at: scheduled_at_1\n             },\n             %Oban.Job{\n               worker: \"Transport.Jobs.ResourceUnavailableNotificationJob\",\n               args: %{\n                 \"dataset_id\" => ^dataset_id,\n                 \"resource_ids\" => [^resource_1_id, ^resource_2_id],\n                 \"hours_consecutive_downtime\" => 30,\n                 \"attempt\" => 2\n               },\n               state: \"scheduled\",\n               scheduled_at: scheduled_at_2\n             }\n           ] = all_enqueued()\n\n    assert_in_delta DateTime.to_unix(scheduled_at_1),\n                    DateTime.utc_now() |> DateTime.add(24, :hour) |> DateTime.to_unix(),\n                    2\n\n    assert_in_delta DateTime.to_unix(scheduled_at_2),\n                    DateTime.utc_now() |> DateTime.add(24, :hour) |> DateTime.to_unix(),\n                    2\n  end\n\n  describe \"perform when sending again\" do\n    test \"when resources remain unavailable\" do\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n      %DB.Resource{id: resource_1_id} = resource_1 = insert(:resource, dataset: dataset, is_available: false)\n\n      %DB.Contact{id: foo_contact_id} = foo_contact = insert_contact()\n      %DB.Contact{id: bar_contact_id} = bar_contact = insert_contact()\n\n      %{id: ns_1} =\n        insert(:notification_subscription, %{\n          reason: :resource_unavailable,\n          source: :admin,\n          role: :producer,\n          contact_id: foo_contact_id,\n          dataset_id: dataset.id\n        })\n\n      %{id: ns_2} =\n        insert(:notification_subscription, %{\n          reason: :resource_unavailable,\n          source: :admin,\n          role: :reuser,\n          contact_id: bar_contact_id,\n          dataset_id: dataset.id\n        })\n\n      assert :ok ==\n               perform_job(ResourceUnavailableNotificationJob, %{\n                 dataset_id: dataset.id,\n                 resource_ids: [resource_1.id],\n                 hours_consecutive_downtime: 30\n               })\n\n      # Emails have been sent\n      display_name = DB.Contact.display_name(foo_contact)\n      foo_email = foo_contact.email\n\n      assert_email_sent(fn %Swoosh.Email{\n                             from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                             to: [{^display_name, ^foo_email}],\n                             subject: subject,\n                             html_body: html_part\n                           } ->\n        assert subject == \"Ressources indisponibles dans le jeu de données #{dataset.custom_title}\"\n\n        assert html_part =~\n                 ~s(Les ressources #{resource_1.title} dans votre jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a> ne sont plus disponibles au téléchargement depuis plus de 30h.)\n      end)\n\n      display_name = DB.Contact.display_name(bar_contact)\n      reuser_email = bar_contact.email\n\n      assert_email_sent(fn %Swoosh.Email{\n                             from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                             to: [{^display_name, ^reuser_email}],\n                             subject: subject,\n                             html_body: html_part\n                           } ->\n        assert subject == \"Ressources indisponibles dans le jeu de données #{dataset.custom_title}\"\n\n        assert html_part =~\n                 ~s(Les ressources #{resource_1.title} du jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a> que vous réutilisez ne sont plus disponibles au téléchargement depuis plus de 30h.)\n\n        assert html_part =~ \"Nous avons déjà informé le producteur de ces données.\"\n      end)\n\n      # Logs have been saved\n      recent_dt = DateTime.utc_now() |> DateTime.add(-1, :second)\n\n      assert DB.Notification |> DB.Repo.aggregate(:count) == 2\n\n      assert %DB.Notification{\n               notification_subscription_id: ^ns_1,\n               reason: :resource_unavailable,\n               role: :producer,\n               contact_id: ^foo_contact_id,\n               payload: %{\n                 \"hours_consecutive_downtime\" => 30,\n                 \"attempt\" => 2,\n                 \"resource_ids\" => [^resource_1_id],\n                 \"job_id\" => job_id_1\n               }\n             } =\n               DB.Notification.base_query()\n               |> where(\n                 [notification: n],\n                 n.role == :producer and n.inserted_at >= ^recent_dt and n.dataset_id == ^dataset_id\n               )\n               |> DB.Repo.one!()\n\n      assert %DB.Notification{\n               notification_subscription_id: ^ns_2,\n               reason: :resource_unavailable,\n               role: :reuser,\n               contact_id: ^bar_contact_id,\n               payload: %{\n                 \"hours_consecutive_downtime\" => 30,\n                 \"attempt\" => 2,\n                 \"resource_ids\" => [^resource_1_id],\n                 \"producer_warned\" => true,\n                 \"job_id\" => job_id_2\n               }\n             } =\n               DB.Notification.base_query()\n               |> where(\n                 [notification: n],\n                 n.role == :reuser and n.inserted_at >= ^recent_dt and n.dataset_id == ^dataset_id\n               )\n               |> DB.Repo.one!()\n\n      assert job_id_1 == job_id_2\n\n      # Next job has been enqueued\n      assert [\n               %Oban.Job{\n                 worker: \"Transport.Jobs.ResourceUnavailableNotificationJob\",\n                 args: %{\n                   \"dataset_id\" => ^dataset_id,\n                   \"resource_ids\" => [^resource_1_id],\n                   \"hours_consecutive_downtime\" => 54,\n                   \"attempt\" => 3\n                 },\n                 state: \"scheduled\",\n                 scheduled_at: scheduled_at\n               }\n             ] = all_enqueued()\n\n      assert_in_delta DateTime.to_unix(scheduled_at),\n                      DateTime.utc_now() |> DateTime.add(24, :hour) |> DateTime.to_unix(),\n                      2\n    end\n\n    test \"when resources are now available\" do\n      dataset = insert(:dataset)\n      resource_1 = insert(:resource, dataset: dataset, is_available: true)\n\n      foo_contact = insert_contact()\n      bar_contact = insert_contact()\n\n      insert(:notification_subscription, %{\n        reason: :resource_unavailable,\n        source: :admin,\n        role: :producer,\n        contact: foo_contact,\n        dataset: dataset\n      })\n\n      insert(:notification_subscription, %{\n        reason: :resource_unavailable,\n        source: :admin,\n        role: :reuser,\n        contact: bar_contact,\n        dataset: dataset\n      })\n\n      assert :ok ==\n               perform_job(ResourceUnavailableNotificationJob, %{\n                 dataset_id: dataset.id,\n                 resource_ids: [resource_1.id],\n                 hours_consecutive_downtime: 30\n               })\n\n      assert_no_email_sent()\n\n      assert DB.Repo.all(DB.Notification) |> Enum.empty?()\n      assert all_enqueued() |> Enum.empty?()\n    end\n  end\n\n  describe \"created_resource_hosted_on_datagouv_recently?\" do\n    test \"base case\" do\n      dataset = %DB.Dataset{datagouv_id: Ecto.UUID.generate()}\n      file_url = \"https://static.data.gouv.fr/file.zip\"\n      assert DB.Resource.hosted_on_datagouv?(file_url)\n      setup_dataset_response(dataset, file_url, DateTime.utc_now() |> DateTime.add(-6, :hour))\n      assert ResourceUnavailableNotificationJob.created_resource_hosted_on_datagouv_recently?(dataset)\n    end\n\n    test \"resource on datagouv has been created a long time ago\" do\n      dataset = %DB.Dataset{datagouv_id: Ecto.UUID.generate()}\n      file_url = \"https://static.data.gouv.fr/file.zip\"\n      assert DB.Resource.hosted_on_datagouv?(file_url)\n      setup_dataset_response(dataset, file_url, DateTime.utc_now() |> DateTime.add(-24, :hour))\n      refute ResourceUnavailableNotificationJob.created_resource_hosted_on_datagouv_recently?(dataset)\n    end\n\n    test \"recent resource is not hosted on datagouv\" do\n      dataset = %DB.Dataset{datagouv_id: Ecto.UUID.generate()}\n      file_url = \"https://example.com/file.zip\"\n      refute DB.Resource.hosted_on_datagouv?(file_url)\n      setup_dataset_response(dataset, file_url, DateTime.utc_now() |> DateTime.add(-6, :hour))\n      refute ResourceUnavailableNotificationJob.created_resource_hosted_on_datagouv_recently?(dataset)\n    end\n  end\n\n  test \"email_addresses_already_sent\" do\n    dataset = insert(:dataset)\n\n    %{\n      dataset: dataset,\n      role: :producer,\n      reason: :resource_unavailable,\n      email: \"foo@example.com\",\n      inserted_at: add_hours(-20)\n    }\n    |> insert_notification()\n\n    # Too old\n    %{\n      dataset: dataset,\n      role: :producer,\n      reason: :resource_unavailable,\n      email: \"bar@example.com\",\n      inserted_at: add_hours(-25)\n    }\n    |> insert_notification()\n\n    # Another reason\n    %{dataset: dataset, role: :producer, reason: :expiration, email: \"baz@example.com\", inserted_at: add_hours(-6)}\n    |> insert_notification()\n\n    assert [\"foo@example.com\"] == ResourceUnavailableNotificationJob.email_addresses_already_sent(dataset)\n  end\n\n  defp add_hours(days), do: DateTime.utc_now() |> DateTime.add(days, :hour)\n\n  defp setup_dataset_response(%DB.Dataset{datagouv_id: datagouv_id}, resource_url, created_at) do\n    Datagouvfr.Client.Datasets.Mock\n    |> expect(:get, fn ^datagouv_id ->\n      {:ok, %{\"resources\" => [%{\"url\" => resource_url, \"created_at\" => created_at |> DateTime.to_iso8601()}]}}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/resource_validation_job_test.exs",
    "content": "defmodule Transport.Jobs.ResourceValidationJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import ExUnit.CaptureLog\n  import DB.Factory\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"perform\" do\n    test \"all validations for one resource\" do\n      %{id: resource_id} = resource = insert(:resource, format: \"gtfs-rt\")\n\n      Transport.ValidatorsSelection.Mock\n      |> expect(:validators, 1, fn ^resource ->\n        [Transport.Validators.Dummy]\n      end)\n\n      perform_job(Transport.Jobs.ResourceValidationJob, %{\"resource_id\" => resource_id})\n\n      assert_received :validate!\n    end\n  end\n\n  test \"detects when a resource is not real time\" do\n    %{id: resource_id} = insert(:resource, format: \"csv\")\n\n    assert capture_log(fn ->\n             assert {:error, \"Resource##{resource_id} is not real time\"} ==\n                      perform_job(Transport.Jobs.ResourceValidationJob, %{\"resource_id\" => resource_id})\n           end) =~ ~r|\\[warning\\] Job \\d+ handled by Transport\\.Jobs\\.ResourceValidationJob|\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/resources_changed_notification_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.ResourcesChangedNotificationJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Mox\n  import Swoosh.TestAssertions\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.ResourcesChangedNotificationJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  setup :verify_on_exit!\n\n  test \"relevant_datasets and dispatches jobs\" do\n    today = DateTime.utc_now()\n    today_date = today |> DateTime.to_date()\n    yesterday = today |> DateTime.add(-1, :day)\n    day_before = today |> DateTime.add(-2, :day)\n\n    %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n    other_dataset = insert(:dataset)\n\n    resource_dataset_gtfs =\n      insert(:resource,\n        dataset: dataset,\n        format: \"GTFS\",\n        url: \"https://example.com/gtfs.zip\",\n        is_community_resource: false\n      )\n\n    resource_dataset_gtfs_rt =\n      insert(:resource,\n        dataset: dataset,\n        format: \"gtfs-rt\",\n        url: \"https://example.com/gtfs-rt\",\n        is_community_resource: false\n      )\n\n    resource_other_dataset_gtfs =\n      insert(:resource,\n        dataset: other_dataset,\n        format: \"GTFS\",\n        is_community_resource: false,\n        url: \"https://example.fr/gtfs.zip\"\n      )\n\n    community_resource_other_dataset =\n      insert(:resource,\n        dataset: other_dataset,\n        format: \"GTFS\",\n        is_community_resource: true,\n        url: \"https://lemonde.fr/pan\"\n      )\n\n    resource_other_dataset_gtfs_rt =\n      insert(:resource,\n        dataset: other_dataset,\n        format: \"gtfs-rt\",\n        is_community_resource: false,\n        url: \"https://example.fr/gtfs.zip\"\n      )\n\n    # `dataset` has a new resource today, `other_dataset` did not change today but before\n    dataset_dh_today = insert(:dataset_history, dataset: dataset, inserted_at: today)\n    dataset_dh_yesterday = insert(:dataset_history, dataset: dataset, inserted_at: yesterday)\n    other_dataset_dh_today = insert(:dataset_history, dataset: other_dataset, inserted_at: today)\n    other_dataset_dh_yesterday = insert(:dataset_history, dataset: other_dataset, inserted_at: yesterday)\n    other_dataset_dh_day_before = insert(:dataset_history, dataset: other_dataset, inserted_at: day_before)\n\n    # For `dataset`\n    # Today: GTFS-RT + GTFS\n    # Yesterday: GTFS\n    insert(:dataset_history_resources,\n      resource: resource_dataset_gtfs,\n      payload: %{\"download_url\" => resource_dataset_gtfs.url},\n      dataset_history: dataset_dh_today\n    )\n\n    insert(:dataset_history_resources,\n      resource: resource_dataset_gtfs_rt,\n      payload: %{\"download_url\" => resource_dataset_gtfs_rt.url},\n      dataset_history: dataset_dh_today\n    )\n\n    insert(:dataset_history_resources,\n      resource: resource_dataset_gtfs,\n      payload: %{\"download_url\" => resource_dataset_gtfs.url},\n      dataset_history: dataset_dh_yesterday\n    )\n\n    # For `other_dataset`\n    # - 2 days ago: GTFS-RT + GTFS (should be ignored)\n    # - Only a GTFS for yesterday and today\n    # - A new community resource was added today (should be ignored)\n    insert(:dataset_history_resources,\n      resource: resource_other_dataset_gtfs,\n      payload: %{\"download_url\" => resource_other_dataset_gtfs.url},\n      dataset_history: other_dataset_dh_today\n    )\n\n    insert(:dataset_history_resources,\n      resource: community_resource_other_dataset,\n      payload: %{\"download_url\" => community_resource_other_dataset.url},\n      dataset_history: other_dataset_dh_today\n    )\n\n    insert(:dataset_history_resources,\n      resource: resource_other_dataset_gtfs,\n      payload: %{\"download_url\" => resource_other_dataset_gtfs.url},\n      dataset_history: other_dataset_dh_yesterday\n    )\n\n    insert(:dataset_history_resources,\n      resource: resource_other_dataset_gtfs,\n      payload: %{\"download_url\" => resource_other_dataset_gtfs.url},\n      dataset_history: other_dataset_dh_day_before\n    )\n\n    insert(:dataset_history_resources,\n      resource: resource_other_dataset_gtfs_rt,\n      payload: %{\"download_url\" => resource_other_dataset_gtfs_rt.url},\n      dataset_history: other_dataset_dh_day_before\n    )\n\n    assert [\n             %{\n               dataset_id: ^dataset_id,\n               date: ^today_date,\n               urls: \"https://example.com/gtfs-rt,https://example.com/gtfs.zip\"\n             }\n           ] = ResourcesChangedNotificationJob.relevant_datasets()\n\n    assert :ok == perform_job(ResourcesChangedNotificationJob, %{})\n\n    assert [%Oban.Job{worker: \"Transport.Jobs.ResourcesChangedNotificationJob\", args: %{\"dataset_id\" => ^dataset_id}}] =\n             all_enqueued()\n  end\n\n  describe \"perform with a dataset_id\" do\n    test \"with a subscription\" do\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset, custom_title: \"Super JDD\")\n      %DB.Contact{id: contact_id, email: email} = contact = insert_contact()\n\n      %DB.NotificationSubscription{id: ns_id} =\n        insert(:notification_subscription, %{\n          dataset_id: dataset_id,\n          reason: :resources_changed,\n          source: :admin,\n          role: :reuser,\n          contact_id: contact_id\n        })\n\n      assert :ok == perform_job(ResourcesChangedNotificationJob, %{\"dataset_id\" => dataset_id})\n\n      # Logs have been saved\n      assert [\n               %DB.Notification{\n                 contact_id: ^contact_id,\n                 email: ^email,\n                 reason: :resources_changed,\n                 dataset_id: ^dataset_id,\n                 role: :reuser,\n                 notification_subscription_id: ^ns_id,\n                 payload: %{\"job_id\" => _}\n               }\n             ] = DB.Notification |> DB.Repo.all()\n\n      assert_email_sent(\n        from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n        to: {DB.Contact.display_name(contact), email},\n        reply_to: {\"\", \"contact@transport.data.gouv.fr\"},\n        subject: \"Super JDD : ressources modifiées\",\n        text_body: nil,\n        html_body:\n          ~r(Les ressources du jeu de données <a href=\"http://127.0.0.1:5100/datasets/#{dataset.slug}\">#{dataset.custom_title}</a> viennent d’être modifiées)\n      )\n    end\n  end\n\n  test \"without subscriptions\" do\n    dataset = insert(:dataset)\n\n    assert :ok == perform_job(ResourcesChangedNotificationJob, %{\"dataset_id\" => dataset.id})\n\n    assert [] = DB.Notification |> DB.Repo.all()\n    assert_no_email_sent()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/table_size_history_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.TableSizeHistoryJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.TableSizeHistoryJob\n\n  @moduletag :timescaledb\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"perform\" do\n    today = Date.utc_today()\n\n    assert :ok == perform_job(TableSizeHistoryJob, %{})\n\n    records = DB.Repo.all(DB.TableSizeHistory)\n\n    assert Enum.count(records) >= 50\n    assert Enum.member?(Enum.map(records, & &1.table_name), \"dataset\")\n    assert Enum.uniq(Enum.map(records, & &1.date)) == [today]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/transport_tools_test.exs",
    "content": "defmodule TransportWeb.TransportToolsTest do\n  use ExUnit.Case\n\n  setup _ do\n    Mox.stub_with(Transport.Rambo.Mock, Transport.Rambo)\n    :ok\n  end\n\n  describe \"we can launch tools from transport-tools folder\" do\n    # NOTE: the :transport_tools tag is just a quick fix to completely skip the tests outside CI, until\n    # we implement a better version of this, allowing to skip by default yet allow local runs\n    # with specific versions (either compiled locally, or Docker-pulled)\n    # See https://github.com/etalab/transport-site/issues/1820\n    @tag :transport_tools\n    test \"check the GeoJSON conversion binary is accessible\" do\n      {:error, msg} = Transport.GTFSToGeoJSONConverter.convert(\"\", \"\")\n\n      # this is the error msg we would get if the binary file was not found\n      assert msg != \"rambo exited with 0\"\n    end\n\n    @tag :transport_tools\n    test \"we can convert a gtfs to GeoJSON\" do\n      geojson_file = \"test.geojson\"\n      :ok = Transport.GTFSToGeoJSONConverter.convert(\"#{__DIR__}/../../fixture/files/gtfs.zip\", geojson_file)\n      assert geojson_file |> File.read!() |> String.contains?(\"FeatureCollection\")\n      File.rm!(geojson_file)\n    end\n  end\n\n  describe \"Necessary command lines tools are installed on the machine\" do\n    @tag :transport_tools\n    test \"zip a simple folder\" do\n      zip_archive_path = [System.tmp_dir!(), \"subfolder\", \"myzip.zip\"] |> Path.join()\n      content_folder_path = [System.tmp_dir!(), \"subfolder\", \"folder_to_zip\"] |> Path.join()\n\n      content_folder_path\n      |> File.mkdir_p!()\n\n      File.write(Path.join([content_folder_path, \"a_file\"]), \"the file content\")\n\n      # if the zip command is not available in the container, this will fail\n      :ok = Transport.FolderZipper.zip(content_folder_path, zip_archive_path)\n\n      # we check the content to be sure files are saved inside the zip\n      # with path relative to \"folder_to_zip\", and we don't save absolute paths (ie /tmp/subfolder/folder_to_zip/a_file)\n      zip_file = Unzip.LocalFile.open(zip_archive_path)\n      {:ok, %Unzip{cd_list: %{\"a_file\" => _map}}} = Unzip.new(zip_file)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/update_contacts_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.UpdateContactsJobTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Mox\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.UpdateContactsJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"enqueues jobs\" do\n    insert_contact()\n    insert_contact(%{datagouv_user_id: user_id_1 = Ecto.UUID.generate()})\n    insert_contact(%{datagouv_user_id: user_id_2 = Ecto.UUID.generate()})\n    assert :ok == perform_job(UpdateContactsJob, %{})\n\n    assert [\n             %Oban.Job{\n               worker: \"Transport.Jobs.UpdateContactsJob\",\n               state: \"scheduled\",\n               args: %{\"contact_ids\" => contact_ids}\n             }\n           ] = all_enqueued()\n\n    assert MapSet.new(contact_ids) == MapSet.new([user_id_1, user_id_2])\n  end\n\n  test \"updates organizations\" do\n    contact = insert_contact(%{datagouv_user_id: user_id = Ecto.UUID.generate(), organization: nil})\n    url = \"https://demo.data.gouv.fr/api/1/users/#{user_id}/\"\n\n    org = %{\n      \"acronym\" => nil,\n      \"badges\" => [],\n      \"id\" => org_id = Ecto.UUID.generate(),\n      \"logo\" => \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-original.png\",\n      \"logo_thumbnail\" => \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-100.png\",\n      \"name\" => org_name = \"PAN\",\n      \"slug\" => \"equipe-transport-data-gouv-fr\"\n    }\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, ^url, \"\", [], [follow_redirect: true] ->\n      {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(%{\"organizations\" => [org]})}}\n    end)\n\n    assert :ok == perform_job(UpdateContactsJob, %{contact_ids: [user_id]})\n\n    contact = contact |> DB.Repo.reload!() |> DB.Repo.preload([:organizations])\n    assert [%DB.Organization{name: ^org_name, id: ^org_id}] = contact.organizations\n    assert %DB.Contact{organization: ^org_name} = contact\n  end\n\n  test \"removes datagouv_user_id and organizations when API responds with 404 or 410\" do\n    Enum.each([404, 410], fn status_code ->\n      contact =\n        insert_contact(%{\n          datagouv_user_id: user_id = Ecto.UUID.generate(),\n          organizations: [:organization |> build() |> Map.from_struct()]\n        })\n\n      url = \"https://demo.data.gouv.fr/api/1/users/#{user_id}/\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:request, fn :get, ^url, \"\", [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: status_code, body: \"\"}}\n      end)\n\n      assert :ok == perform_job(UpdateContactsJob, %{contact_ids: [user_id]})\n\n      assert %DB.Contact{datagouv_user_id: nil, organizations: []} =\n               contact |> DB.Repo.reload!() |> DB.Repo.preload([:organizations])\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/update_counter_cache_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.UpdateCounterCacheJobTest do\n  @moduledoc \"\"\"\n  This test only tests that the job can run, not the actual logic of the job, see `Transport.CounterCacheTest` for that.\n  \"\"\"\n  use ExUnit.Case, async: true\n  import DB.Factory\n  use Oban.Testing, repo: DB.Repo\n  alias Transport.Jobs.UpdateCounterCacheJob\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"perform\" do\n    # Needs at least one resource and friends in database, else the job will fail.\n    insert_up_to_date_resource_and_friends()\n    assert :ok == perform_job(UpdateCounterCacheJob, %{})\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/visit_download_statistics_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.VisitDownloadStatisticsJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.VisitDownloadStatisticsJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"perform\" do\n    # Should be ignored\n    insert_contact()\n\n    %DB.Organization{id: organization_id} = insert(:organization)\n    %DB.Contact{id: contact_id} = contact = insert_contact(%{organizations: [%{id: organization_id}]})\n\n    # Another contact but they received the email already\n    %DB.Contact{id: other_contact_id} = other_contact = insert_contact(%{organizations: [%{id: organization_id}]})\n\n    insert_notification(%{\n      contact_id: other_contact.id,\n      reason: :visit_download_statistics,\n      email: other_contact.email,\n      role: :producer\n    })\n\n    dataset = insert(:dataset, organization_id: organization_id)\n    insert(:resource, dataset: dataset, url: \"https://static.data.gouv.fr/example\")\n    insert(:resource, dataset: dataset, url: \"https://static.data.gouv.fr/other_resource\")\n\n    assert [%DB.Contact{id: ^contact_id}, %DB.Contact{id: ^other_contact_id}] =\n             VisitDownloadStatisticsJob.relevant_contacts() |> Enum.sort_by(& &1.id)\n\n    assert :ok == perform_job(VisitDownloadStatisticsJob, %{})\n\n    html_content = \"vous pouvez consulter et télécharger des statistiques de téléchargement de vos données\"\n\n    assert_email_sent(\n      from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n      to: [{DB.Contact.display_name(contact), contact.email}],\n      subject: \"Découvrez vos statistiques de téléchargement\",\n      html_body: ~r/#{html_content}/\n    )\n\n    [\n      %DB.Notification{\n        reason: :visit_download_statistics,\n        contact_id: ^other_contact_id,\n        role: :producer\n      },\n      %DB.Notification{\n        reason: :visit_download_statistics,\n        contact_id: ^contact_id,\n        role: :producer\n      }\n    ] = DB.Repo.all(DB.Notification) |> Enum.sort_by(& &1.id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/visit_proxy_statistics_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.VisitProxyStatisticsJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.VisitProxyStatisticsJob\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"perform\" do\n    # Should be ignored\n    insert_contact()\n\n    %DB.Organization{id: organization_id} = insert(:organization)\n    %DB.Contact{id: contact_id} = contact = insert_contact(%{organizations: [%{id: organization_id}]})\n\n    # Another contact but they received the email already\n    %DB.Contact{id: other_contact_id} = other_contact = insert_contact(%{organizations: [%{id: organization_id}]})\n\n    insert_notification(%{\n      contact_id: other_contact.id,\n      reason: :visit_proxy_statistics,\n      email: other_contact.email,\n      role: :producer\n    })\n\n    dataset = insert(:dataset, organization_id: organization_id)\n    insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/resource/example\")\n    insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/resource/other_resource\")\n\n    assert [%DB.Contact{id: ^contact_id}, %DB.Contact{id: ^other_contact_id}] =\n             VisitProxyStatisticsJob.relevant_contacts() |> Enum.sort_by(& &1.id)\n\n    assert :ok == perform_job(VisitProxyStatisticsJob, %{})\n\n    html_content = \"vous pouvez consulter et télécharger des statistiques d’utilisation de vos données\"\n\n    assert_email_sent(\n      from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n      to: [{DB.Contact.display_name(contact), contact.email}],\n      subject: \"Découvrez vos statistiques proxy\",\n      html_body: ~r/#{html_content}/\n    )\n\n    [\n      %DB.Notification{\n        reason: :visit_proxy_statistics,\n        contact_id: ^other_contact_id,\n        role: :producer\n      },\n      %DB.Notification{\n        reason: :visit_proxy_statistics,\n        contact_id: ^contact_id,\n        role: :producer\n      }\n    ] = DB.Repo.all(DB.Notification) |> Enum.sort_by(& &1.id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/visit_statistics_base_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.VisitStatisticsBaseTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n  alias Transport.Jobs.VisitStatisticsBase\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"relevant_contacts/1\" do\n    test \"returns unique contacts for resources matching the filter\" do\n      %DB.Organization{id: org_id} = insert(:organization)\n      %DB.Contact{id: contact_id} = insert_contact(%{organizations: [%{id: org_id}]})\n\n      dataset = insert(:dataset, organization_id: org_id)\n      insert(:resource, dataset: dataset, url: \"https://static.data.gouv.fr/example\")\n      insert(:resource, dataset: dataset, url: \"https://other.example.com/file\")\n\n      filter_fn = &DB.Resource.hosted_on_datagouv?/1\n      contacts = VisitStatisticsBase.relevant_contacts(filter_fn)\n\n      assert [%DB.Contact{id: ^contact_id}] = contacts\n    end\n\n    test \"returns empty list when no resources match filter\" do\n      %DB.Organization{id: org_id} = insert(:organization)\n      insert_contact(%{organizations: [%{id: org_id}]})\n\n      dataset = insert(:dataset, organization_id: org_id)\n      insert(:resource, dataset: dataset, url: \"https://other.example.com/file\")\n\n      filter_fn = &DB.Resource.hosted_on_datagouv?/1\n      contacts = VisitStatisticsBase.relevant_contacts(filter_fn)\n\n      assert contacts == []\n    end\n\n    test \"deduplicates contacts from multiple resources\" do\n      %DB.Organization{id: org_id} = insert(:organization)\n      %DB.Contact{id: contact_id} = insert_contact(%{organizations: [%{id: org_id}]})\n\n      dataset = insert(:dataset, organization_id: org_id)\n      insert(:resource, dataset: dataset, url: \"https://static.data.gouv.fr/example1\")\n      insert(:resource, dataset: dataset, url: \"https://static.data.gouv.fr/example2\")\n\n      filter_fn = &DB.Resource.hosted_on_datagouv?/1\n      contacts = VisitStatisticsBase.relevant_contacts(filter_fn)\n\n      # Should only return one contact despite two resources\n      assert [%DB.Contact{id: ^contact_id}] = contacts\n    end\n  end\n\n  describe \"email_addresses_already_sent/2\" do\n    test \"returns emails sent in the last 30 days\" do\n      reason = :visit_download_statistics\n      %DB.Contact{email: email} = contact = insert_contact()\n\n      insert_notification(%{\n        contact_id: contact.id,\n        reason: reason,\n        email: email,\n        role: :producer\n      })\n\n      scheduled_at = DateTime.utc_now()\n      emails = VisitStatisticsBase.email_addresses_already_sent(scheduled_at, reason)\n\n      assert email in emails\n    end\n\n    test \"does not return emails sent more than 30 days ago\" do\n      reason = :visit_download_statistics\n      %DB.Contact{email: email} = contact = insert_contact()\n\n      # Insert old notification\n      notification =\n        insert_notification(%{\n          contact_id: contact.id,\n          reason: reason,\n          email: email,\n          role: :producer\n        })\n\n      # Update to make it 31 days old\n      DB.Notification\n      |> where([n], n.id == ^notification.id)\n      |> DB.Repo.update_all(set: [inserted_at: DateTime.add(DateTime.utc_now(), -31, :day)])\n\n      scheduled_at = DateTime.utc_now()\n      emails = VisitStatisticsBase.email_addresses_already_sent(scheduled_at, reason)\n\n      assert email not in emails\n    end\n\n    test \"filters by notification reason\" do\n      %DB.Contact{email: email} = contact = insert_contact()\n\n      insert_notification(%{\n        contact_id: contact.id,\n        reason: :visit_proxy_statistics,\n        email: email,\n        role: :producer\n      })\n\n      scheduled_at = DateTime.utc_now()\n      emails = VisitStatisticsBase.email_addresses_already_sent(scheduled_at, :visit_download_statistics)\n\n      assert email not in emails\n    end\n  end\n\n  describe \"save_notification/2\" do\n    test \"saves notification and returns contact\" do\n      reason = :visit_download_statistics\n      %DB.Contact{id: contact_id, email: email} = contact = insert_contact()\n\n      result = VisitStatisticsBase.save_notification(contact, reason)\n\n      assert %DB.Contact{id: ^contact_id} = result\n\n      notification = DB.Repo.get_by(DB.Notification, contact_id: contact_id, reason: reason)\n      assert notification.email == email\n      assert notification.role == :producer\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/warn_user_inactivity_job_test.exs",
    "content": "defmodule Transport.Test.Transport.Jobs.WarnUserInactivityJobTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Swoosh.TestAssertions\n  alias Transport.Jobs.WarnUserInactivityJob\n\n  doctest WarnUserInactivityJob, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  # 2 years + 1 month\n  @inactivity_limit 30 * 25\n\n  test \"prune a single contact\" do\n    now = DateTime.utc_now()\n    insert_contact_inactive_since(now, %{days: @inactivity_limit + 10})\n\n    assert :ok == perform_job(WarnUserInactivityJob, %{})\n\n    assert_no_email_sent()\n\n    assert 0 == DB.Repo.aggregate(DB.Contact, :count)\n  end\n\n  @login_prompt ~r/Pour conserver votre compte, il vous suffira de <a href=\"https?:\\/\\/[^\\\\]+\\/login\\/explanation\\?redirect_path=%2F\">vous reconnecter<\\/a>./\n\n  test \"warn first time 30 days before deadline\" do\n    now = DateTime.utc_now()\n    %DB.Contact{} = insert_contact_inactive_since(now, %{days: @inactivity_limit - 31})\n    %DB.Contact{} = contact = insert_contact_inactive_since(now, %{days: @inactivity_limit - 30})\n    %DB.Contact{} = insert_contact_inactive_since(now, %{days: @inactivity_limit - 29})\n\n    assert :ok == perform_job(WarnUserInactivityJob, %{})\n\n    assert_warning_is_sent(contact, \"Votre compte sera supprimé dans 1 mois\", [\n      \"Vous avez un compte utilisateur associé à l‘adresse email <strong>#{contact.email}</strong> sur <a href=\\\"https://transport.data.gouv.fr\\\">transport.data.gouv.fr</a>.\",\n      \"Dans 1 mois nous supprimerons votre compte conformément aux règles en vigueur concernant les données utilisateur.\",\n      @login_prompt\n    ])\n\n    assert 3 == DB.Repo.aggregate(DB.Contact, :count)\n  end\n\n  test \"warn first time 15 days before deadline\" do\n    now = DateTime.utc_now()\n    %DB.Contact{} = insert_contact_inactive_since(now, %{days: @inactivity_limit - 14})\n\n    %DB.Contact{id: contact_id, email: email} =\n      contact = insert_contact_inactive_since(now, %{days: @inactivity_limit - 15})\n\n    %DB.Contact{} = insert_contact_inactive_since(now, %{days: @inactivity_limit - 16})\n\n    assert :ok == perform_job(WarnUserInactivityJob, %{})\n\n    assert_warning_is_sent(contact, \"Votre compte sera supprimé dans 2 semaines\", [\n      \"Vous avez un compte utilisateur associé à l‘adresse email <strong>#{contact.email}</strong> sur <a href=\\\"https://transport.data.gouv.fr\\\">transport.data.gouv.fr</a>.\",\n      \"Dans 2 semaines nous supprimerons votre compte conformément aux règles en vigueur concernant les données utilisateur.\",\n      @login_prompt\n    ])\n\n    assert 3 == DB.Repo.aggregate(DB.Contact, :count)\n\n    assert [\n             %DB.Notification{\n               reason: :warn_user_inactivity,\n               role: :reuser,\n               contact_id: ^contact_id,\n               email: ^email,\n               payload: %{\"horizon\" => 15},\n               notification_subscription_id: nil\n             }\n           ] = DB.Notification |> DB.Repo.all()\n  end\n\n  test \"warn first time the day before deadline\" do\n    now = DateTime.utc_now()\n    %DB.Contact{} = insert_contact_inactive_since(now, %{days: @inactivity_limit - 2})\n\n    %DB.Contact{id: contact_id, email: email} =\n      contact = insert_contact_inactive_since(now, %{days: @inactivity_limit - 1})\n\n    %DB.Contact{} = insert_contact_inactive_since(now, %{days: @inactivity_limit})\n\n    assert :ok == perform_job(WarnUserInactivityJob, %{})\n\n    assert_warning_is_sent(contact, \"Votre compte sera supprimé demain\", [\n      \"Vous avez un compte utilisateur associé à l‘adresse email <strong>#{contact.email}</strong> sur <a href=\\\"https://transport.data.gouv.fr\\\">transport.data.gouv.fr</a>.\",\n      \"Demain nous supprimerons votre compte conformément aux règles en vigueur concernant les données utilisateur.\",\n      @login_prompt\n    ])\n\n    assert 2 == DB.Repo.aggregate(DB.Contact, :count)\n\n    assert [\n             %DB.Notification{\n               reason: :warn_user_inactivity,\n               role: :reuser,\n               contact_id: ^contact_id,\n               email: ^email,\n               payload: %{\"horizon\" => 1},\n               notification_subscription_id: nil\n             }\n           ] = DB.Notification |> DB.Repo.all()\n  end\n\n  defp insert_contact_inactive_since(now, %{days: days}) do\n    last_login_at = DateTime.add(now, 0 - days, :day)\n\n    insert_contact(%{last_login_at: last_login_at})\n  end\n\n  defp assert_warning_is_sent(%DB.Contact{email: email} = contact, subject, body_parts) do\n    contact_name = DB.Contact.display_name(contact)\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"transport.data.gouv.fr\", \"contact@transport.data.gouv.fr\"},\n                           to: [{^contact_name, ^email}],\n                           reply_to: {\"\", \"contact@transport.data.gouv.fr\"},\n                           subject: ^subject,\n                           text_body: nil,\n                           html_body: html_body\n                         } ->\n      Enum.each(body_parts, fn body_part ->\n        assert simplify_whitespaces(html_body) =~ body_part\n      end)\n    end)\n  end\n\n  defp simplify_whitespaces(str), do: String.replace(str, ~r/\\s/, \" \")\nend\n"
  },
  {
    "path": "apps/transport/test/transport/jobs/workflow_test.exs",
    "content": "defmodule Transport.Jobs.WorkflowTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import Transport.Jobs.Workflow\n  import Ecto.Adapters.SQL.Sandbox\n  import ExUnit.CaptureLog\n\n  doctest Transport.Jobs.Workflow, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"a simple workflow\" do\n    parent_process = self()\n\n    jobs = [Transport.Jobs.Dummy.JobA, Transport.Jobs.Dummy.JobB]\n    some_id = 1\n\n    spawn(fn ->\n      # the workflow is spawned in a different process\n      # we give it a name\n      Process.register(self(), :workflow_process)\n\n      # we allow the process to use the same db sandbox as the main process\n      allow(DB.Repo, parent_process, self())\n\n      # the workflow is launched\n      perform_job(Transport.Jobs.Workflow, %{\n        \"jobs\" => jobs,\n        \"first_job_args\" => %{\"some_id\" => some_id}\n      })\n\n      Process.unregister(:workflow_process)\n    end)\n\n    # we expect the first job to be enqueued\n    assert_enqueued(\n      [worker: Transport.Jobs.Dummy.JobA, args: %{\"some_id\" => some_id}],\n      200\n    )\n\n    # we drain the queue : jobA is effectively executed\n    Oban.drain_queue(queue: :default)\n\n    # after job A is done, we expect job B to be enqueued\n    assert_enqueued(\n      [worker: Transport.Jobs.Dummy.JobB, args: %{\"some_id\" => some_id + 1}],\n      200\n    )\n  end\n\n  test \"a workflow with custom arguments\" do\n    parent_process = self()\n\n    jobs = [Transport.Jobs.Dummy.JobA, [Transport.Jobs.Dummy.JobB, %{\"forced\" => true}, %{}]]\n    some_id = 1\n\n    spawn(fn ->\n      Process.register(self(), :workflow_process)\n      allow(DB.Repo, parent_process, self())\n\n      perform_job(Transport.Jobs.Workflow, %{\n        \"jobs\" => jobs,\n        \"first_job_args\" => %{\"some_id\" => some_id}\n      })\n    end)\n\n    assert_enqueued(\n      [worker: Transport.Jobs.Dummy.JobA, args: %{\"some_id\" => some_id}],\n      200\n    )\n\n    Oban.drain_queue(queue: :default)\n\n    # after job A is done, we expect job B to be enqueued with custom arguments provided (\"forced\")\n    assert_enqueued(\n      [worker: Transport.Jobs.Dummy.JobB, args: %{\"some_id\" => some_id + 1, \"forced\" => true}],\n      200\n    )\n  end\n\n  test \"a workflow with custom job options\" do\n    parent_process = self()\n\n    jobs = [\n      Transport.Jobs.Dummy.JobA,\n      [Elixir.Transport.Jobs.Dummy.JobB, %{}, kw_to_map(queue: :super_heavy, unique: [period: 1])]\n    ]\n\n    some_id = 1\n\n    spawn(fn ->\n      Process.register(self(), :workflow_process)\n      allow(DB.Repo, parent_process, self())\n\n      perform_job(Transport.Jobs.Workflow, %{\n        \"jobs\" => jobs,\n        \"first_job_args\" => %{\"some_id\" => some_id}\n      })\n\n      Process.unregister(:workflow_process)\n    end)\n\n    assert_enqueued(\n      [worker: Transport.Jobs.Dummy.JobA, args: %{\"some_id\" => some_id}],\n      200\n    )\n\n    Oban.drain_queue(queue: :default)\n\n    # after job A is done, we expect job B to be enqueued with on a custom queue\n    # I couldn't find a way to test for uniqueness, as the information seems to be erased when the job is enqueued.\n    assert_enqueued(\n      [worker: Transport.Jobs.Dummy.JobB, args: %{\"some_id\" => some_id + 1}, queue: :super_heavy],\n      50\n    )\n  end\n\n  test \"a workflow with a failing job\" do\n    parent_process = self()\n\n    jobs = [\n      Transport.Jobs.Dummy.FailingJob,\n      Transport.Jobs.Dummy.JobA\n    ]\n\n    # this id will make FailingJob fail\n    some_id = 1\n\n    spawn(fn ->\n      Process.register(self(), :workflow_process)\n      allow(DB.Repo, parent_process, self())\n\n      {res, logs} =\n        with_log(fn ->\n          perform_job(Transport.Jobs.Workflow, %{\n            \"jobs\" => jobs,\n            \"first_job_args\" => %{\"some_id\" => some_id}\n          })\n        end)\n\n      # catch the logs from the failing job\n      assert logs =~ \"job fails\"\n      Process.unregister(:workflow_process)\n\n      # {:error, } response from the workflow is sent from here\n      send(parent_process, res)\n    end)\n\n    # FailingJob is enqueued\n    assert_enqueued(\n      [worker: Transport.Jobs.Dummy.FailingJob, args: %{\"some_id\" => some_id}],\n      200\n    )\n\n    refute_receive({:error, _})\n\n    # FailingJob is executed and fails (max_attempts = 1) => the workflow fails as well\n    Oban.drain_queue(queue: :default, with_recursion: true)\n\n    # {:error, } workflow response is received here\n    assert_receive({:error, _}, 200)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/notifiers_test.exs",
    "content": "defmodule Transport.NotifiersTest do\n  @moduledoc \"\"\"\n  This module is just there to run the doctests of the notifiers, which have been moved from other modules.\n  \"\"\"\n\n  use ExUnit.Case, async: true\n  import DB.Factory\n  doctest Transport.UserNotifier, import: true\n  doctest Transport.AdminNotifier, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"Old tests from DataChecker\" do\n    test \"count_archived_datasets\" do\n      insert(:dataset, is_active: true, archived_at: nil)\n      insert(:dataset, is_active: true, archived_at: DateTime.utc_now())\n      insert(:dataset, is_active: false, archived_at: DateTime.utc_now())\n\n      assert 1 == Transport.AdminNotifier.count_archived_datasets()\n    end\n\n    test \"with no subscriptions from producers\" do\n      insert(:notification_subscription, %{\n        reason: :expiration,\n        source: :user,\n        role: :reuser,\n        contact: insert_contact(),\n        dataset: dataset = insert(:dataset)\n      })\n\n      refute Transport.AdminNotifier.has_expiration_notifications?(dataset)\n      assert \"❌ pas de notification automatique\" == Transport.AdminNotifier.expiration_notification_enabled_str(dataset)\n    end\n  end\n\n  test \"with a subscription from a producer\" do\n    dataset = insert(:dataset)\n\n    insert(:notification_subscription, %{\n      reason: :dataset_with_error,\n      source: :admin,\n      role: :producer,\n      contact: insert_contact(),\n      dataset: dataset\n    })\n\n    refute Transport.AdminNotifier.has_expiration_notifications?(dataset)\n\n    insert(:notification_subscription, %{\n      reason: :expiration,\n      source: :admin,\n      role: :producer,\n      contact: insert_contact(),\n      dataset: dataset\n    })\n\n    assert Transport.AdminNotifier.has_expiration_notifications?(dataset)\n    assert \"✅ notification automatique\" == Transport.AdminNotifier.expiration_notification_enabled_str(dataset)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/schemas_test.exs",
    "content": "defmodule Transport.SchemasTest do\n  use ExUnit.Case, async: false\n  import Transport.Schemas\n  import Mox\n\n  setup :verify_on_exit!\n\n  @base_url \"https://schema.data.gouv.fr\"\n\n  setup do\n    setup_schemas_response()\n    Cachex.clear(Transport.Application.cache_name())\n    on_exit(fn -> Cachex.clear(Transport.Application.cache_name()) end)\n    Mox.stub_with(Transport.Schemas.Mock, Transport.Schemas)\n    :ok\n  end\n\n  test \"transport_schemas\" do\n    assert [\"etalab/schema-amenagements-cyclables\", \"etalab/schema-lieux-covoiturage\", \"etalab/schema-zfe\"] ==\n             Map.keys(transport_schemas())\n\n    assert_cache_key_has_ttl(\"transport_schemas\")\n  end\n\n  test \"schemas_by_type\" do\n    assert [\"etalab/schema-amenagements-cyclables\", \"etalab/schema-zfe\"] == Map.keys(schemas_by_type(\"jsonschema\"))\n    assert [\"etalab/schema-lieux-covoiturage\"] == Map.keys(schemas_by_type(\"tableschema\"))\n  end\n\n  describe \"schema_url\" do\n    test \"simple case\" do\n      assert \"#{@base_url}/schemas/etalab/schema-zfe/0.7.2/schema.json\" ==\n               schema_url(\"etalab/schema-zfe\", \"latest\")\n\n      assert \"#{@base_url}/schemas/etalab/schema-zfe/0.7.2/schema.json\" ==\n               schema_url(\"etalab/schema-zfe\", \"0.7.2\")\n    end\n\n    test \"with a custom schema filename\" do\n      assert \"#{@base_url}/schemas/etalab/schema-amenagements-cyclables/0.3.3/schema_amenagements_cyclables.json\" ==\n               schema_url(\"etalab/schema-amenagements-cyclables\", \"latest\")\n    end\n\n    test \"makes sure schema and version are valid\" do\n      assert_raise KeyError, ~r(^key \"foo\" not found in), fn ->\n        schema_url(\"foo\", \"latest\")\n      end\n\n      assert_raise KeyError, \"foo is not a valid version for etalab/schema-zfe\", fn ->\n        schema_url(\"etalab/schema-zfe\", \"foo\")\n      end\n    end\n  end\n\n  describe \"documentation_url\" do\n    test \"with only a schema_name\" do\n      assert \"https://schema.data.gouv.fr/etalab/schema-zfe/\" == documentation_url(\"etalab/schema-zfe\")\n    end\n\n    test \"with a schema_name and a schema_version\" do\n      assert \"https://schema.data.gouv.fr/etalab/schema-zfe/0.7.2/\" == documentation_url(\"etalab/schema-zfe\", \"0.7.2\")\n    end\n\n    test \"makes sure schema and version are valid\" do\n      assert_raise KeyError, ~r(^key \"foo\" not found in), fn ->\n        documentation_url(\"foo\", \"latest\")\n      end\n\n      assert_raise KeyError, \"foo is not a valid version for etalab/schema-zfe\", fn ->\n        documentation_url(\"etalab/schema-zfe\", \"foo\")\n      end\n    end\n  end\n\n  defp setup_schemas_response do\n    url = \"https://schema.data.gouv.fr/schemas.json\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn ^url ->\n      %HTTPoison.Response{body: File.read!(\"#{__DIR__}/../fixture/schemas/schemas.json\"), status_code: 200}\n    end)\n  end\n\n  def assert_cache_key_has_ttl(cache_key, expected_ttl \\\\ 300) do\n    assert_in_delta Cachex.ttl!(Transport.Application.cache_name(), cache_key),\n                    :timer.seconds(expected_ttl),\n                    :timer.seconds(1)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/search_communes_test.exs",
    "content": "defmodule Transport.SearchCommunesTest do\n  use ExUnit.Case, async: true\n  alias Transport.SearchCommunes\n\n  doctest SearchCommunes\nend\n"
  },
  {
    "path": "apps/transport/test/transport/siri_queries_test.exs",
    "content": "defmodule Transport.SIRITest do\n  use ExUnit.Case\n\n  # see https://github.com/qcam/saxy/issues/103\n  defmodule XMLNewlinesRemover do\n    def filter_newlines_from_model({element, tags, children}) do\n      {\n        element,\n        tags,\n        children\n        |> Enum.map(&filter_newlines_from_model/1)\n        |> Enum.reject(&is_nil/1)\n      }\n    end\n\n    def filter_newlines_from_model(content) when is_binary(content) do\n      if content |> String.trim() == \"\", do: nil, else: content\n    end\n  end\n\n  @doc \"\"\"\n  To make it easier to compare XML strings during test, we parse them as\n  Elixir structures, and removing the non-significant newlines.\n  \"\"\"\n  def parse_xml(payload) do\n    payload\n    |> Unlock.SIRI.parse_incoming()\n    |> XMLNewlinesRemover.filter_newlines_from_model()\n  end\n\n  test \"CheckStatus\" do\n    timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n    requestor_ref = \"the-ref\"\n    message_identifier = \"Test::Message::#{Ecto.UUID.generate()}\"\n    request = Transport.SIRI.check_status(timestamp, requestor_ref, message_identifier)\n\n    expected_response = \"\"\"\n    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\n    <S:Envelope xmlns:S=\"http://schemas.xmlsoap.org/soap/envelope/\" xmlns:SOAP-ENV=\"http://schemas.xmlsoap.org/soap/envelope/\">\n      <S:Body>\n        <sw:CheckStatus xmlns:sw=\"http://wsdl.siri.org.uk\" xmlns:siri=\"http://www.siri.org.uk/siri\">\n          <Request>\n            <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n            <siri:RequestorRef>#{requestor_ref}</siri:RequestorRef>\n            <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n          </Request>\n          <RequestExtension/>\n        </sw:CheckStatus>\n      </S:Body>\n    </S:Envelope>\n    \"\"\"\n\n    assert parse_xml(request) == parse_xml(expected_response)\n  end\n\n  test \"LinesDiscovery\" do\n    timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n    requestor_ref = \"the-ref\"\n    message_identifier = \"Test::Message::#{Ecto.UUID.generate()}\"\n    request = Transport.SIRI.lines_discovery(timestamp, requestor_ref, message_identifier)\n\n    expected_response = \"\"\"\n    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\n    <S:Envelope xmlns:S=\"http://schemas.xmlsoap.org/soap/envelope/\" xmlns:SOAP-ENV=\"http://schemas.xmlsoap.org/soap/envelope/\">\n      <S:Body>\n        <sw:LinesDiscovery xmlns:sw=\"http://wsdl.siri.org.uk\" xmlns:siri=\"http://www.siri.org.uk/siri\">\n          <Request>\n            <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n            <siri:RequestorRef>#{requestor_ref}</siri:RequestorRef>\n            <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n          </Request>\n          <RequestExtension/>\n        </sw:LinesDiscovery>\n      </S:Body>\n    </S:Envelope>\n    \"\"\"\n\n    assert parse_xml(request) == parse_xml(expected_response)\n  end\n\n  test \"StopPointsDiscovery\" do\n    timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n    requestor_ref = \"the-ref\"\n    message_identifier = \"Test::Message::#{Ecto.UUID.generate()}\"\n    request = Transport.SIRI.stop_points_discovery(timestamp, requestor_ref, message_identifier)\n\n    expected_response = \"\"\"\n    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\n    <S:Envelope xmlns:S=\"http://schemas.xmlsoap.org/soap/envelope/\" xmlns:SOAP-ENV=\"http://schemas.xmlsoap.org/soap/envelope/\">\n      <S:Body>\n        <sw:StopPointsDiscovery xmlns:sw=\"http://wsdl.siri.org.uk\" xmlns:siri=\"http://www.siri.org.uk/siri\">\n          <Request>\n            <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n            <siri:RequestorRef>#{requestor_ref}</siri:RequestorRef>\n            <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n          </Request>\n          <RequestExtension/>\n        </sw:StopPointsDiscovery>\n      </S:Body>\n    </S:Envelope>\n    \"\"\"\n\n    assert parse_xml(request) == parse_xml(expected_response)\n  end\n\n  test \"GetEstimatedTimetable (with line references)\" do\n    timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n    requestor_ref = \"the-ref\"\n    message_identifier = \"Test::Message::#{Ecto.UUID.generate()}\"\n    line_001 = \"LINE:001\"\n    line_002 = \"LINE:002\"\n    request = Transport.SIRI.get_estimated_timetable(timestamp, requestor_ref, message_identifier, [line_001, line_002])\n\n    expected_response = \"\"\"\n    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\n    <S:Envelope xmlns:S=\"http://schemas.xmlsoap.org/soap/envelope/\" xmlns:SOAP-ENV=\"http://schemas.xmlsoap.org/soap/envelope/\">\n      <S:Body>\n        <sw:GetEstimatedTimetable xmlns:sw=\"http://wsdl.siri.org.uk\" xmlns:siri=\"http://www.siri.org.uk/siri\">\n            <ServiceRequestInfo>\n              <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n              <siri:RequestorRef>#{requestor_ref}</siri:RequestorRef>\n              <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n            </ServiceRequestInfo>\n            <Request>\n              <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n              <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n              <siri:Lines>\n                <siri:LineDirection>\n                  <siri:LineRef>#{line_001}</siri:LineRef>\n                </siri:LineDirection>\n                <siri:LineDirection>\n                  <siri:LineRef>#{line_002}</siri:LineRef>\n                </siri:LineDirection>\n              </siri:Lines>\n            </Request>\n            <RequestExtension/>\n        </sw:GetEstimatedTimetable>\n      </S:Body>\n    </S:Envelope>\n    \"\"\"\n\n    assert parse_xml(request) == parse_xml(expected_response)\n  end\n\n  # NOTE: there are apparently differently ways to create this (\"ALL\" vs \"nothing\")\n  # and different servers exhibit different behaviours (to be verified).\n  test \"GetEstimatedTimetable (without line references)\" do\n    timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n    requestor_ref = \"the-ref\"\n    message_identifier = \"Test::Message::#{Ecto.UUID.generate()}\"\n    request = Transport.SIRI.get_estimated_timetable(timestamp, requestor_ref, message_identifier, [])\n\n    expected_response = \"\"\"\n    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\n    <S:Envelope xmlns:S=\"http://schemas.xmlsoap.org/soap/envelope/\" xmlns:SOAP-ENV=\"http://schemas.xmlsoap.org/soap/envelope/\">\n      <S:Body>\n        <sw:GetEstimatedTimetable xmlns:sw=\"http://wsdl.siri.org.uk\" xmlns:siri=\"http://www.siri.org.uk/siri\">\n            <ServiceRequestInfo>\n              <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n              <siri:RequestorRef>#{requestor_ref}</siri:RequestorRef>\n              <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n            </ServiceRequestInfo>\n            <Request>\n              <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n              <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n            </Request>\n            <RequestExtension/>\n        </sw:GetEstimatedTimetable>\n      </S:Body>\n    </S:Envelope>\n    \"\"\"\n\n    assert parse_xml(request) == parse_xml(expected_response)\n  end\n\n  test \"GetGeneralMessage\" do\n    timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n    requestor_ref = \"the-ref\"\n    message_identifier = \"Test::Message::#{Ecto.UUID.generate()}\"\n    request = Transport.SIRI.get_general_message(timestamp, requestor_ref, message_identifier)\n\n    expected_response = \"\"\"\n    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\n    <S:Envelope xmlns:S=\"http://schemas.xmlsoap.org/soap/envelope/\" xmlns:SOAP-ENV=\"http://schemas.xmlsoap.org/soap/envelope/\">\n    <S:Body>\n     \t<sw:GetGeneralMessage xmlns:sw=\"http://wsdl.siri.org.uk\" xmlns:siri=\"http://www.siri.org.uk/siri\">\n        <ServiceRequestInfo>\n          <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n          <siri:RequestorRef>#{requestor_ref}</siri:RequestorRef>\n          <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n        </ServiceRequestInfo>\n        <Request>\n          <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n          <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n        </Request>\n        <RequestExtension/>\n      </sw:GetGeneralMessage>\n    </S:Body>\n    </S:Envelope>\n    \"\"\"\n\n    assert parse_xml(request) == parse_xml(expected_response)\n  end\n\n  test \"GetStopMonitoring\" do\n    timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n    requestor_ref = \"the-ref\"\n    message_identifier = \"Test::Message::#{Ecto.UUID.generate()}\"\n    stop_ref = \"STOP:001\"\n    request = Transport.SIRI.get_stop_monitoring(timestamp, requestor_ref, message_identifier, stop_ref)\n\n    expected_response = \"\"\"\n    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\n    <S:Envelope xmlns:S=\"http://schemas.xmlsoap.org/soap/envelope/\" xmlns:SOAP-ENV=\"http://schemas.xmlsoap.org/soap/envelope/\">\n    <S:Body>\n      <sw:GetStopMonitoring xmlns:sw=\"http://wsdl.siri.org.uk\" xmlns:siri=\"http://www.siri.org.uk/siri\">\n        <ServiceRequestInfo>\n          <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n          <siri:RequestorRef>#{requestor_ref}</siri:RequestorRef>\n          <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n        </ServiceRequestInfo>\n        <Request>\n          <siri:RequestTimestamp>#{timestamp}</siri:RequestTimestamp>\n          <siri:MessageIdentifier>#{message_identifier}</siri:MessageIdentifier>\n          <siri:MonitoringRef>#{stop_ref}</siri:MonitoringRef>\n          <siri:StopVisitTypes>all</siri:StopVisitTypes>\n        </Request>\n        <RequestExtension/>\n      </sw:GetStopMonitoring>\n    </S:Body>\n    </S:Envelope>\n    \"\"\"\n\n    assert parse_xml(request) == parse_xml(expected_response)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/stats_handler_test.exs",
    "content": "defmodule Transport.StatsHandlerTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Ecto.Query\n  import Transport.StatsHandler\n\n  doctest Transport.StatsHandler, import: true\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    insert_bnlc_dataset()\n    insert_irve_dataset()\n    insert_parcs_relais_dataset()\n    insert_zfe_dataset()\n    :ok\n  end\n\n  test \"compute_stats\" do\n    assert is_map(compute_stats())\n  end\n\n  test \"count_feed_types_gtfs_rt\" do\n    resource = insert(:resource, format: \"gtfs-rt\")\n    # should not be used as this is too old\n    insert(:resource_metadata,\n      features: [\"foo\"],\n      resource_id: resource.id,\n      inserted_at: Transport.Jobs.GTFSRTMetadataJob.datetime_limit() |> DateTime.add(-5)\n    )\n\n    # Empty cases, should not crash\n    insert(:resource_metadata, features: [], resource_id: resource.id)\n    insert(:resource_metadata, features: nil, resource_id: resource.id)\n\n    # recent metadata for the resource\n    insert(:resource_metadata, features: [\"vehicle_positions\", \"entity\"], resource_id: resource.id)\n    insert(:resource_metadata, features: [\"vehicle_positions\", \"trip_updates\"], resource_id: resource.id)\n\n    # another resource linked to a single metadata\n    insert(:resource_metadata,\n      features: [\"vehicle_positions\", \"service_alerts\"],\n      resource: insert(:resource, format: \"gtfs-rt\")\n    )\n\n    assert %{\"service_alerts\" => 1, \"trip_updates\" => 1, \"vehicle_positions\" => 2, \"entity\" => 1} ==\n             count_feed_types_gtfs_rt()\n  end\n\n  test \"climate_resilience_bill_count\" do\n    insert(:dataset, is_active: false, custom_tags: [\"loi-climat-resilience\"], type: \"public-transit\")\n    insert(:dataset, is_active: true, custom_tags: [\"loi-climat-resilience\"], type: \"public-transit\")\n    insert(:dataset, is_active: true, custom_tags: [\"loi-climat-resilience\"], type: \"public-transit\")\n    insert(:dataset, is_active: true, custom_tags: [\"loi-climat-resilience\", \"foo\"], type: \"road-data\")\n\n    assert %{\n             climate_resilience_bill_count: %{\n               \"road-data\" => 1,\n               \"public-transit\" => 2\n             }\n           } = compute_stats()\n  end\n\n  test \"store_stats\" do\n    gtfs_rt_resource = insert(:resource, format: \"gtfs-rt\")\n    insert(:resource_metadata, features: [\"vehicle_positions\"], resource_id: gtfs_rt_resource.id)\n    insert(:resource_metadata, features: [\"trip_updates\"], resource_id: gtfs_rt_resource.id)\n    insert(:resource_metadata, features: [\"vehicle_positions\"], resource: insert(:resource, format: \"gtfs-rt\"))\n\n    insert(:resource_metadata,\n      metadata: %{\n        versions: [\"3.0\"],\n        types: [\"free_floating\"],\n        vehicle_types: [\"scooter\"],\n        stats: %{nb_vehicles: 10, version: 1}\n      },\n      resource_id: insert(:resource, format: \"gbfs\").id\n    )\n\n    # climate_resilience_bill data\n    insert(:dataset, is_active: false, custom_tags: [\"loi-climat-resilience\"], type: \"public-transit\")\n    insert(:dataset, is_active: true, custom_tags: [\"loi-climat-resilience\"], type: \"public-transit\")\n    insert(:dataset, is_active: true, custom_tags: [\"loi-climat-resilience\"], type: \"public-transit\")\n    insert(:dataset, is_active: true, custom_tags: [\"loi-climat-resilience\", \"foo\"], type: \"road-data\")\n\n    # reuses stats\n    insert(:reuse, type: \"api\", metric_discussions: 0, metric_followers: 2, metric_views: 5)\n    insert(:reuse, type: \"visualization\", metric_discussions: 1, metric_followers: 1, metric_views: 10)\n\n    stats = compute_stats()\n    store_stats()\n    assert DB.Repo.aggregate(DB.StatsHistory, :count, :id) >= Enum.count(stats)\n\n    all_metrics = DB.StatsHistory |> select([s], s.metric) |> DB.Repo.all()\n\n    stats_metrics =\n      stats\n      |> Map.keys()\n      |> Enum.map(&to_string/1)\n      |> Enum.reject(\n        &String.starts_with?(&1, [\"gtfs_rt_types\", \"climate_resilience_bill_count\", \"count_geo_data_lines\", \"reuses\"])\n      )\n\n    assert MapSet.subset?(MapSet.new(stats_metrics), MapSet.new(all_metrics))\n    assert Enum.member?(all_metrics, \"gtfs_rt_types::vehicle_positions\")\n    assert Enum.member?(all_metrics, \"gtfs_rt_types::trip_updates\")\n    assert Enum.member?(all_metrics, \"count_geo_data_lines::irve\")\n    assert Enum.member?(all_metrics, \"reuses::nb_reuses\")\n\n    expected = Decimal.new(2)\n    assert %{value: ^expected} = DB.Repo.get_by!(DB.StatsHistory, metric: \"gtfs_rt_types::vehicle_positions\")\n    expected = Decimal.new(1)\n    assert %{value: ^expected} = DB.Repo.get_by!(DB.StatsHistory, metric: \"gbfs_v3.0_count\")\n    expected = Decimal.new(15)\n    assert %{value: ^expected} = DB.Repo.get_by!(DB.StatsHistory, metric: \"reuses::sum_metric_views\")\n\n    decimal_1 = Decimal.new(1)\n    decimal_2 = Decimal.new(2)\n\n    assert [\n             %DB.StatsHistory{metric: \"climate_resilience_bill_count::public-transit\", value: ^decimal_2},\n             %DB.StatsHistory{metric: \"climate_resilience_bill_count::road-data\", value: ^decimal_1}\n           ] =\n             DB.StatsHistory\n             |> where([s], like(s.metric, \"climate_resilience_bill_count%\"))\n             |> order_by([s], s.metric)\n             |> DB.Repo.all()\n  end\n\n  test \"count dataset per format\" do\n    inactive_dataset = insert(:dataset, is_active: false)\n    insert(:resource, dataset_id: inactive_dataset.id, format: format = \"xxx\")\n\n    active_dataset = insert(:dataset, is_active: true)\n    insert(:resource, dataset_id: active_dataset.id, format: format)\n\n    count_resources = count_dataset_with_format(format)\n\n    assert count_resources == 1\n  end\n\n  test \"compute aom max severity\" do\n    aom = insert(:aom)\n    dataset = insert(:dataset, legal_owners_aom: [aom])\n    insert_up_to_date_resource_and_friends(dataset: dataset, max_error: \"Error\")\n    insert_up_to_date_resource_and_friends(dataset: dataset, max_error: \"Warning\")\n    insert_outdated_resource_and_friends(dataset: dataset, max_error: \"Fatal\")\n\n    assert %{\"Error\" => 1} == compute_aom_gtfs_max_severity()\n  end\n\n  test \"compute aom max severity bis\" do\n    aom_1 = insert(:aom)\n    dataset = insert(:dataset, legal_owners_aom: [aom_1])\n    insert_up_to_date_resource_and_friends(dataset: dataset, max_error: \"Fatal\")\n\n    aom_2 = insert(:aom)\n    dataset = insert(:dataset, legal_owners_aom: [aom_2])\n    insert_up_to_date_resource_and_friends(dataset: dataset, max_error: \"Fatal\")\n\n    aom_3 = insert(:aom)\n    dataset = insert(:dataset, legal_owners_aom: [aom_3])\n    insert_up_to_date_resource_and_friends(dataset: dataset, max_error: \"Warning\")\n\n    aom_4 = insert(:aom)\n    dataset = insert(:dataset, legal_owners_aom: [aom_4])\n    insert_up_to_date_resource_and_friends(dataset: dataset, max_error: \"Information\")\n    insert_outdated_resource_and_friends(dataset: dataset, max_error: \"Fatal\")\n\n    assert %{\"Fatal\" => 2, \"Warning\" => 1, \"Information\" => 1} == compute_aom_gtfs_max_severity()\n  end\n\n  test \"uses legal owners to assign datasets to AOMs\" do\n    DB.Dataset |> DB.Repo.delete_all()\n    DB.AOM |> DB.Repo.delete_all()\n\n    insert(:aom, population: 1_000_000)\n    aom2 = insert(:aom, population: 1_000_000)\n    insert(:aom, population: 1_000_000)\n\n    insert(:dataset, legal_owners_aom: [aom2])\n\n    assert %{nb_aoms_with_data: 1, nb_aoms: 3, population_couverte: 1, population_totale: 3} = compute_stats()\n  end\n\n  test \"ignores hidden datasets\" do\n    insert(:resource, dataset: insert(:dataset, is_active: true), format: \"GTFS\")\n\n    hidden_dataset = insert(:dataset, is_active: true, is_hidden: true)\n    insert(:resource, dataset: hidden_dataset, format: \"GTFS\")\n\n    assert %{nb_datasets: 5, nb_gtfs: 1, nb_pt_datasets: 1} = compute_stats()\n  end\n\n  test \"counts the number of IRVE lines in GeoData\" do\n    assert 0 == count_geo_data_lines(:irve)\n    insert_imported_irve_geo_data(Transport.ConsolidatedDataset.dataset(:irve).id)\n    assert 2 == count_geo_data_lines(:irve)\n  end\n\n  describe \"gbfs_stats\" do\n    test \"no rows for today\" do\n      insert(:resource_metadata,\n        metadata: %{\"stats\" => 42},\n        resource_id: insert(:resource, format: \"gbfs\").id,\n        inserted_at: DateTime.add(DateTime.utc_now(), -1, :day)\n      )\n\n      assert %{} == gbfs_stats()\n    end\n\n    test \"it works\" do\n      gbfs_resource = insert(:resource, format: \"gbfs\")\n      other_gbfs_resource = insert(:resource, format: \"gbfs\")\n      gtfs_resource = insert(:resource, format: \"GTFS\")\n\n      now = DateTime.utc_now()\n\n      # Should be ignored: GTFS\n      insert(:resource_metadata, metadata: %{foo: 42}, resource_id: gtfs_resource.id)\n      # Should be ignored: not the most recent one for `gbfs_resource`\n      insert(:resource_metadata,\n        metadata: %{stats: %{foo: 42}},\n        resource_id: gbfs_resource.id,\n        inserted_at: DateTime.add(now, -5, :second)\n      )\n\n      # Relevant metadata\n      insert(:resource_metadata,\n        metadata: %{\n          versions: [\"3.0\", \"2.3\"],\n          types: [\"stations\"],\n          vehicle_types: [\"bicycle\", \"scooter\"],\n          stats: %{nb_vehicles: 20, nb_stations: 3, version: 1}\n        },\n        resource_id: gbfs_resource.id\n      )\n\n      insert(:resource_metadata,\n        metadata: %{\n          versions: [\"3.0\"],\n          types: [\"free_floating\"],\n          vehicle_types: [\"scooter\"],\n          stats: %{nb_vehicles: 10, version: 1}\n        },\n        resource_id: other_gbfs_resource.id\n      )\n\n      assert %{\n               gbfs_feed_type_free_floating_count: 1,\n               gbfs_feed_type_stations_count: 1,\n               gbfs_nb_stations_sum: 3,\n               gbfs_nb_vehicles_sum: 30,\n               \"gbfs_v2.3_count\": 1,\n               \"gbfs_v3.0_count\": 2,\n               gbfs_vehicle_type_bicycle_count: 1,\n               gbfs_vehicle_type_scooter_count: 2\n             } == gbfs_stats()\n    end\n  end\n\n  test \"reuses_stats\" do\n    insert(:reuse, type: \"api\", metric_discussions: 0, metric_followers: 2, metric_views: 5)\n    insert(:reuse, type: \"visualization\", metric_discussions: 1, metric_followers: 1, metric_views: 10)\n\n    assert %{\n             :nb_reuses => 2,\n             :sum_metric_discussions => 1,\n             :sum_metric_followers => 3,\n             :sum_metric_views => 15,\n             \"api\" => 1,\n             \"visualization\" => 1\n           } = reuses_stats = reuses_stats()\n\n    assert %{reuses: ^reuses_stats} = compute_stats()\n  end\n\n  test \"count_resources_stats\" do\n    insert_list(4, :resource, format: \"gbfs\")\n    insert_list(5, :resource, format: \"GTFS\")\n    insert_list(10, :resource, format: \"gtfs-rt\")\n\n    assert %{nb_gtfs_rt_resources: 10, nb_gtfs_resources: 5} = compute_stats()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/telemetry_test.exs",
    "content": "defmodule Transport.TelemetryTest do\n  use ExUnit.Case, async: true\n  import Transport.Telemetry, only: [count_event: 3, count_event: 4]\n  import Mox\n\n  setup :verify_on_exit!\n\n  doctest Transport.Telemetry, import: true\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  def stored_events, do: DB.Repo.all(DB.Metrics)\n\n  test \"telemetry forwards proxy events to batch metrics system (incr_event)\" do\n    assert DB.Repo.all(DB.Metrics) |> Enum.empty?()\n    assert %{} == :sys.get_state(Unlock.BatchMetrics)\n\n    Unlock.BatchMetrics.Mock\n    |> expect(:incr_event, fn %{target: \"foo\", event: \"proxy:request:external\"} ->\n      :ok\n    end)\n\n    Unlock.BatchMetrics.Mock\n    |> expect(:incr_event, fn %{target: \"bar\", event: \"proxy:request:internal\"} ->\n      :ok\n    end)\n\n    # Dispatch Telemetry events\n    :telemetry.execute(\n      [:proxy, :request, :external],\n      %{},\n      %{target: \"foo\"}\n    )\n\n    :telemetry.execute(\n      [:proxy, :request, :internal],\n      %{},\n      %{target: \"bar\"}\n    )\n\n    # Metrics have not been inserted directly\n    assert DB.Repo.all(DB.Metrics) |> Enum.empty?()\n  end\n\n  test \"aggregates same hour for a given identifier/event\" do\n    count_event(\"id-001\", [:proxy, :request, :internal], ~U[2021-11-22 14:28:06.098765Z])\n    count_event(\"id-001\", [:proxy, :request, :internal], ~U[2021-11-22 14:28:56.098765Z])\n\n    assert [\n             %{\n               count: 2,\n               event: \"proxy:request:internal\",\n               period: ~U[2021-11-22 14:00:00Z],\n               target: \"id-001\"\n             }\n           ] = stored_events()\n  end\n\n  test \"count_event can aggregate at the day level\" do\n    count_event(\"id-001\", [:proxy, :request, :internal], ~U[2021-11-22 14:28:06.098765Z], :day)\n    count_event(\"id-001\", [:proxy, :request, :internal], ~U[2021-11-23 15:29:56.098765Z], :day)\n\n    assert [\n             %{\n               count: 1,\n               event: \"proxy:request:internal\",\n               period: ~U[2021-11-22 00:00:00Z],\n               target: \"id-001\"\n             },\n             %{\n               count: 1,\n               event: \"proxy:request:internal\",\n               period: ~U[2021-11-23 00:00:00Z],\n               target: \"id-001\"\n             }\n           ] = stored_events()\n  end\n\n  test \"dissociates events at different hours\" do\n    count_event(\"id-001\", [:proxy, :request, :internal], ~U[2021-11-22 14:28:06.098765Z])\n    count_event(\"id-001\", [:proxy, :request, :internal], ~U[2021-11-22 15:29:56.098765Z])\n\n    assert [\n             %{\n               count: 1,\n               event: \"proxy:request:internal\",\n               period: ~U[2021-11-22 14:00:00Z],\n               target: \"id-001\"\n             },\n             %{\n               count: 1,\n               event: \"proxy:request:internal\",\n               period: ~U[2021-11-22 15:00:00Z],\n               target: \"id-001\"\n             }\n           ] = stored_events()\n  end\n\n  test \"dissociates events for different events and identifiers at the same hour\" do\n    count_event(id = \"id-001\", event = [:first_event], datetime = ~U[2021-11-22 14:28:06.098765Z])\n    count_event(id, second_event = [:second_event], datetime)\n    count_event(\"id-002\", event, datetime)\n    count_event(\"id-003\", second_event, datetime)\n\n    assert stored_events() |> Enum.count() == 4\n  end\n\n  test \"handlers have been registered\" do\n    Transport.Telemetry.proxy_request_event_names()\n    |> Kernel.++(Transport.Telemetry.conversions_get_event_names())\n    |> Enum.each(fn event -> refute is_nil(:telemetry.list_handlers(event)) end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/enroute_chouette_valid_client_test.exs",
    "content": "defmodule Transport.EnRouteChouetteValidClientTest do\n  use ExUnit.Case, async: true\n  import Mox\n  import Transport.TmpFile\n\n  alias Transport.EnRouteChouetteValidClient\n\n  doctest Transport.EnRouteChouetteValidClient, import: true\n\n  setup :verify_on_exit!\n\n  @expected_headers [{\"authorization\", \"Token token=fake_enroute_token\"}]\n\n  test \"create a validation\" do\n    response_body =\n      \"\"\"\n      {\n        \"id\": \"d8e2b6c2-b1e5-4890-84d4-9b761a445882\",\n        \"rule_set\": \"enroute:starter-kit\",\n        \"user_status\": \"pending\",\n        \"include_schema\": true,\n        \"created_at\": \"2024-07-05T14:41:19.933Z\",\n        \"updated_at\": \"2024-07-05T14:41:19.933Z\"\n      }\n      \"\"\"\n\n    url = \"https://chouette-valid.enroute.mobi/api/validations\"\n\n    with_tmp_file(\"\", fn tmp_file ->\n      expect(Transport.HTTPoison.Mock, :post!, fn ^url, {:multipart, parts}, headers ->\n        assert @expected_headers == headers\n\n        assert [\n                 {\"validation[rule_set]\", \"enroute:starter-kit\"},\n                 {\"validation[include_schema]\", \"true\"},\n                 {:file, tmp_file, {\"form-data\", [{:name, \"validation[file]\"}, {:filename, Path.basename(tmp_file)}]},\n                  []}\n               ] == parts\n\n        %HTTPoison.Response{status_code: 201, body: response_body}\n      end)\n\n      assert \"d8e2b6c2-b1e5-4890-84d4-9b761a445882\" == EnRouteChouetteValidClient.create_a_validation(tmp_file)\n    end)\n  end\n\n  describe \"get a validation\" do\n    test \"pending\" do\n      validation_id = \"d8e2b6c2-b1e5-4890-84d4-9b761a445882\"\n\n      response_body =\n        \"\"\"\n        {\n          \"id\": \"#{validation_id}\",\n          \"rule_set\": \"enroute:starter-kit\",\n          \"user_status\": \"pending\",\n          \"include_schema\": true,\n          \"started_at\": \"2024-07-05T14:41:20.680Z\",\n          \"created_at\": \"2024-07-05T14:41:19.933Z\",\n          \"updated_at\": \"2024-07-05T14:41:20.933Z\"\n        }\n        \"\"\"\n\n      url = \"https://chouette-valid.enroute.mobi/api/validations/#{validation_id}\"\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^url, headers ->\n        assert @expected_headers == headers\n        %HTTPoison.Response{status_code: 200, body: response_body}\n      end)\n\n      assert :pending == EnRouteChouetteValidClient.get_a_validation(validation_id)\n    end\n\n    test \"successful\" do\n      validation_id = \"d8e2b6c2-b1e5-4890-84d4-9b761a445882\"\n\n      response_body =\n        \"\"\"\n        {\n          \"id\": \"#{validation_id}\",\n          \"rule_set\": \"enroute:starter-kit\",\n          \"user_status\": \"successful\",\n          \"include_schema\": true,\n          \"started_at\": \"2024-07-05T14:41:20.680Z\",\n          \"ended_at\": \"2024-07-05T14:41:25.685Z\",\n          \"created_at\": \"2024-07-05T14:41:19.933Z\",\n          \"updated_at\": \"2024-07-05T14:41:20.933Z\"\n        }\n        \"\"\"\n\n      url = \"https://chouette-valid.enroute.mobi/api/validations/#{validation_id}\"\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^url, headers ->\n        assert @expected_headers == headers\n        %HTTPoison.Response{status_code: 200, body: response_body}\n      end)\n\n      assert {:successful, url, 5} == EnRouteChouetteValidClient.get_a_validation(validation_id)\n    end\n\n    test \"warning\" do\n      validation_id = \"d8e2b6c2-b1e5-4890-84d4-9b761a445882\"\n\n      response_body =\n        \"\"\"\n        {\n          \"id\": \"#{validation_id}\",\n          \"rule_set\": \"enroute:starter-kit\",\n          \"user_status\": \"warning\",\n          \"include_schema\": true,\n          \"started_at\": \"2024-07-05T14:41:20.680Z\",\n          \"ended_at\": \"2024-07-05T14:41:24.685Z\",\n          \"created_at\": \"2024-07-05T14:41:19.933Z\",\n          \"updated_at\": \"2024-07-05T14:41:20.933Z\"\n        }\n        \"\"\"\n\n      url = \"https://chouette-valid.enroute.mobi/api/validations/#{validation_id}\"\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^url, headers ->\n        assert @expected_headers == headers\n        %HTTPoison.Response{status_code: 200, body: response_body}\n      end)\n\n      assert {:warning, 4} == EnRouteChouetteValidClient.get_a_validation(validation_id)\n    end\n\n    test \"failed\" do\n      validation_id = \"d8e2b6c2-b1e5-4890-84d4-9b761a445882\"\n\n      response_body =\n        \"\"\"\n        {\n          \"id\": \"#{validation_id}\",\n          \"rule_set\": \"enroute:starter-kit\",\n          \"user_status\": \"failed\",\n          \"include_schema\": true,\n          \"started_at\": \"2024-07-05T14:41:20.680Z\",\n          \"ended_at\": \"2024-07-05T14:41:28.685Z\",\n          \"created_at\": \"2024-07-05T14:41:19.933Z\",\n          \"updated_at\": \"2024-07-05T14:41:20.933Z\"\n        }\n        \"\"\"\n\n      url = \"https://chouette-valid.enroute.mobi/api/validations/#{validation_id}\"\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^url, headers ->\n        assert @expected_headers == headers\n        %HTTPoison.Response{status_code: 200, body: response_body}\n      end)\n\n      assert {:failed, 8} == EnRouteChouetteValidClient.get_a_validation(validation_id)\n    end\n  end\n\n  test \"get messages\" do\n    response_body =\n      \"\"\"\n      [\n        {\n          \"code\": \"xsd-123\",\n          \"message\": \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n          \"resource\": {\n            \"id\": \"23504000009\",\n            \"line\": 665,\n            \"class\": \"OperatingPeriod\",\n            \"column\": 1,\n            \"filename\": \"RESOURCE.xml\"\n          },\n          \"criticity\": \"error\"\n        },\n        {\n          \"code\": \"valid-day-bits\",\n          \"message\": \"Mandatory attribute valid_day_bits not found\",\n          \"resource\": {\n            \"id\": \"23504000057\",\n            \"line\": 641,\n            \"class\": \"OperatingPeriod\",\n            \"column\": 1,\n            \"filename\": \"RESOURCE.xml\"\n          },\n          \"criticity\": \"error\"\n        },\n        {\n          \"code\": \"frame-arret-resources\",\n          \"message\": \"Tag frame_id doesn't match ''\",\n          \"resource\": {\n            \"id\": \"5030\",\n            \"line\": 424,\n            \"class\": \"Quay\",\n            \"column\": 5\n          },\n          \"criticity\": \"error\"\n        }\n      ]\n      \"\"\"\n\n    validation_id = Ecto.UUID.generate()\n    url = \"https://chouette-valid.enroute.mobi/api/validations/#{validation_id}/messages\"\n\n    expect(Transport.HTTPoison.Mock, :get!, fn ^url, headers ->\n      assert @expected_headers == headers\n      %HTTPoison.Response{status_code: 200, body: response_body}\n    end)\n\n    {^url, messages} = EnRouteChouetteValidClient.get_messages(validation_id)\n    assert length(messages) == 3\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/gbfs_validator_test.exs",
    "content": "defmodule Transport.Validators.GBFSValidatorTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Mox\n  alias Shared.Validation.GBFSValidator.Summary, as: GBFSValidationSummary\n  alias Transport.Validators.GBFSValidator\n\n  doctest Transport.Validators.GBFSValidator, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"validate_and_save inserts the expected data in the database\" do\n    %DB.Resource{id: resource_id} =\n      resource = insert(:resource, url: url = \"https://example.com/gbfs.json\", format: \"gbfs\")\n\n    assert DB.Resource.gbfs?(resource)\n\n    Transport.GBFSMetadata.Mock\n    |> expect(:compute_feed_metadata, fn ^url ->\n      %{\n        languages: [\"fr\"],\n        system_details: %{\"name\" => \"velhop\", \"timezone\" => \"Europe/Paris\"},\n        vehicle_types: [\"bicycle\"],\n        ttl: 3600,\n        types: [\"stations\"],\n        versions: [\"1.1\"],\n        feeds: [\"system_information\", \"station_information\", \"station_status\"],\n        validation: %GBFSValidationSummary{\n          errors_count: 0,\n          has_errors: false,\n          version_detected: \"1.1\",\n          version_validated: \"1.1\",\n          validator_version: \"31c5325\",\n          validator: :validator_module\n        }\n      }\n    end)\n\n    GBFSValidator.validate_and_save(resource)\n\n    assert %DB.MultiValidation{\n             metadata: %DB.ResourceMetadata{\n               metadata: %{\n                 \"feeds\" => [\"system_information\", \"station_information\", \"station_status\"],\n                 \"languages\" => [\"fr\"],\n                 \"system_details\" => %{\"name\" => \"velhop\", \"timezone\" => \"Europe/Paris\"},\n                 \"ttl\" => 3600,\n                 \"types\" => [\"stations\"],\n                 \"versions\" => [\"1.1\"],\n                 \"vehicle_types\" => [\"bicycle\"]\n               },\n               resource_id: ^resource_id\n             },\n             resource_id: ^resource_id,\n             result:\n               validation_result = %{\n                 \"errors_count\" => 0,\n                 \"has_errors\" => false,\n                 \"validator\" => \"validator_module\",\n                 \"version_detected\" => \"1.1\",\n                 \"version_validated\" => \"1.1\"\n               },\n             validated_data_name: ^url,\n             digest: %{\"errors_count\" => 0},\n             command: \"https://gbfs-validator.netlify.app/.netlify/functions/validator\",\n             validator: \"MobilityData/gbfs-validator\",\n             validator_version: \"31c5325\"\n           } = load_validation()\n\n    refute Map.has_key?(validation_result, \"validator_version\")\n  end\n\n  defp load_validation do\n    DB.MultiValidation.with_result()\n    |> DB.Repo.one!()\n    |> DB.Repo.preload(:metadata)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/gtfs_rt_validator_test.exs",
    "content": "defmodule Transport.Validators.GTFSRTTest do\n  # The trigger refresh_dataset_geographic_view_trigger makes this test\n  # unreliable in a concurrent setup.\n  use ExUnit.Case, async: false\n  use Oban.Testing, repo: DB.Repo\n  import Ecto.Query\n  import DB.Factory\n  alias Transport.Validators.GTFSRT\n  import Mox\n\n  doctest Transport.Validators.GTFSRT, import: true\n\n  @gtfs_rt_report_path \"#{__DIR__}/../../fixture/files/gtfs-rt-validator-errors.json\"\n  @validator_filename \"gtfs-realtime-validator-lib-1.0.0-SNAPSHOT.jar\"\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"critical_errors?\" do\n    mv = fn errors -> %DB.MultiValidation{result: %{\"errors\" => errors}} end\n\n    refute GTFSRT.critical_errors?(mv.([]))\n    refute GTFSRT.critical_errors?(mv.([%{\"error_id\" => \"E003\", \"errors_count\" => 49}]))\n\n    assert GTFSRT.critical_errors?(mv.([%{\"error_id\" => \"E003\", \"errors_count\" => 50}]))\n\n    assert GTFSRT.critical_errors?(\n             mv.([\n               %{\"error_id\" => \"E003\", \"errors_count\" => 10},\n               %{\"error_id\" => \"E004\", \"errors_count\" => 40}\n             ])\n           )\n\n    assert GTFSRT.critical_errors?(mv.([%{\"error_id\" => \"FATAL\", \"errors_count\" => 1}]))\n    refute GTFSRT.critical_errors?(mv.([%{\"error_id\" => \"E001\", \"errors_count\" => 100}]))\n  end\n\n  test \"get_max_severity_error\" do\n    assert nil == GTFSRT.get_max_severity_error([])\n    assert \"ERROR\" == GTFSRT.get_max_severity_error([%{\"severity\" => \"ERROR\"}])\n\n    assert \"ERROR\" ==\n             GTFSRT.get_max_severity_error([%{\"severity\" => \"ERROR\"}, %{\"severity\" => \"WARNING\"}])\n\n    assert \"WARNING\" == GTFSRT.get_max_severity_error([%{\"severity\" => \"WARNING\"}])\n\n    assert_raise RuntimeError, ~r/^Some severity levels are not handled/, fn ->\n      GTFSRT.get_max_severity_error([%{\"severity\" => \"foo\"}])\n    end\n  end\n\n  test \"convert_validator_report\" do\n    assert {:ok,\n            %{\n              \"warnings_count\" => 26,\n              \"errors_count\" => 4,\n              \"has_errors\" => true,\n              \"ignore_shapes\" => false,\n              \"errors\" => [\n                %{\n                  \"description\" => \"vehicle_id should be populated for TripUpdates and VehiclePositions\",\n                  \"error_id\" => \"W002\",\n                  \"errors\" => [\n                    \"trip_id 17646637 does not have a vehicle_id\",\n                    \"trip_id 17646540 does not have a vehicle_id\",\n                    \"trip_id 17646839 does not have a vehicle_id\",\n                    \"trip_id 17646810 does not have a vehicle_id\",\n                    \"trip_id 17646604 does not have a vehicle_id\"\n                  ],\n                  \"errors_count\" => 26,\n                  \"severity\" => \"WARNING\",\n                  \"title\" => \"vehicle_id not populated\"\n                },\n                %{\n                  \"description\" =>\n                    \"stop_time_updates for a given trip_id must be strictly sorted by increasing stop_sequence\",\n                  \"error_id\" => \"E002\",\n                  \"errors\" => [\n                    \"trip_id 17646603 stop_sequence [5, 0] is not strictly sorted by increasing stop_sequence\",\n                    \"trip_id 17646604 stop_sequence [5, 0] is not strictly sorted by increasing stop_sequence\"\n                  ],\n                  \"errors_count\" => 2,\n                  \"severity\" => \"ERROR\",\n                  \"title\" => \"stop_times_updates not strictly sorted\"\n                },\n                %{\n                  \"description\" => \"Sequential GTFS-rt trip stop_time_updates should never have the same stop_sequence\",\n                  \"error_id\" => \"E036\",\n                  \"errors\" => [\n                    \"trip_id 17646603 has repeating stop_sequence 0 - stop_sequence must increase for each stop_time_update\",\n                    \"trip_id 17646604 has repeating stop_sequence 0 - stop_sequence must increase for each stop_time_update\"\n                  ],\n                  \"errors_count\" => 2,\n                  \"severity\" => \"ERROR\",\n                  \"title\" => \"Sequential stop_time_updates have the same stop_sequence\"\n                }\n              ]\n            }} == GTFSRT.convert_validator_report(@gtfs_rt_report_path)\n  end\n\n  test \"convert_validator_report when file does not exist\" do\n    assert :error == GTFSRT.convert_validator_report(Ecto.UUID.generate())\n  end\n\n  describe \"validate_and_save\" do\n    test \"with a GTFS and 2 GTFS-rt\" do\n      gtfs_permanent_url = \"https://example.com/gtfs.zip\"\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n      gtfs_rt_no_errors_url = \"https://example.com/gtfs-rt-no-errors\"\n\n      resource_history_uuid = Ecto.UUID.generate()\n\n      %{dataset: dataset, resource_history: %{id: resource_history_id}, resource: %{id: gtfs_id} = gtfs} =\n        insert_up_to_date_resource_and_friends(\n          resource_history_payload: %{\n            \"format\" => \"GTFS\",\n            \"permanent_url\" => gtfs_permanent_url,\n            \"uuid\" => resource_history_uuid\n          }\n        )\n\n      %DB.Resource{id: gtfs_rt_id} =\n        gtfs_rt =\n        insert(:resource,\n          dataset_id: dataset.id,\n          is_available: true,\n          format: \"gtfs-rt\",\n          is_community_resource: false,\n          url: gtfs_rt_url\n        )\n\n      %DB.Resource{id: gtfs_rt_no_errors_id} =\n        gtfs_rt_no_errors =\n        insert(:resource,\n          dataset_id: dataset.id,\n          is_available: true,\n          format: \"gtfs-rt\",\n          is_community_resource: false,\n          url: gtfs_rt_no_errors_url\n        )\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_rt_url, [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, body = \"gtfs-rt\")\n        {:ok, %Req.Response{status: 200, body: body}}\n      end)\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_rt_no_errors_url,\n                         [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, body = \"gtfs-rt\")\n        {:ok, %Req.Response{status: 200, body: body}}\n      end)\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_permanent_url,\n                         [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, \"gtfs_content\")\n        {:ok, %Req.Response{status: 200}}\n      end)\n\n      mock_s3_stream_upload(gtfs_rt)\n      mock_s3_stream_upload(gtfs_rt_no_errors)\n\n      gtfs_path = GTFSRT.download_path(gtfs)\n      gtfs_rt_path = GTFSRT.download_path(gtfs_rt)\n      gtfs_rt_no_errors_path = GTFSRT.download_path(gtfs_rt_no_errors)\n\n      Transport.Rambo.Mock\n      |> expect(:run, fn binary, args, [log: false] ->\n        assert binary == \"java\"\n        assert File.exists?(gtfs_path)\n        assert File.exists?(gtfs_rt_path)\n\n        assert [\n                 \"-jar\",\n                 validator_path(),\n                 \"-gtfs\",\n                 gtfs_path,\n                 \"-gtfsRealtimePath\",\n                 Path.dirname(gtfs_rt_path)\n               ] == args\n\n        File.write!(GTFSRT.gtfs_rt_result_path(gtfs_rt), File.read!(@gtfs_rt_report_path))\n        {:ok, nil}\n      end)\n\n      Transport.Rambo.Mock\n      |> expect(:run, fn binary, args, [log: false] ->\n        assert binary == \"java\"\n        assert File.exists?(gtfs_path)\n        assert File.exists?(gtfs_rt_no_errors_path)\n\n        assert [\n                 \"-jar\",\n                 validator_path(),\n                 \"-gtfs\",\n                 gtfs_path,\n                 \"-gtfsRealtimePath\",\n                 Path.dirname(gtfs_rt_no_errors_path)\n               ] == args\n\n        File.write!(GTFSRT.gtfs_rt_result_path(gtfs_rt_no_errors), \"[]\")\n        {:ok, nil}\n      end)\n\n      assert :ok == GTFSRT.validate_and_save(dataset)\n      {:ok, report} = GTFSRT.convert_validator_report(@gtfs_rt_report_path)\n      expected_errors = Map.fetch!(report, \"errors\")\n\n      gtfs_rt_validation =\n        DB.MultiValidation.with_result()\n        |> where([mv], mv.resource_id == ^gtfs_rt.id and mv.validator == ^GTFSRT.validator_name())\n        |> order_by([mv], desc: mv.inserted_at)\n        |> limit(1)\n        |> DB.Repo.one!()\n\n      gtfs_rt_no_errors_validation =\n        DB.MultiValidation.with_result()\n        |> where([mv], mv.resource_id == ^gtfs_rt_no_errors.id and mv.validator == ^GTFSRT.validator_name())\n        |> order_by([mv], desc: mv.inserted_at)\n        |> limit(1)\n        |> DB.Repo.one!()\n\n      validator_name = GTFSRT.validator_name()\n\n      assert %{\n               validator: ^validator_name,\n               result: %{\n                 \"errors\" => ^expected_errors,\n                 \"warnings_count\" => 26,\n                 \"errors_count\" => 4,\n                 \"files\" => %{\n                   \"gtfs_permanent_url\" => ^gtfs_permanent_url,\n                   \"gtfs_resource_history_uuid\" => ^resource_history_uuid,\n                   \"gtfs_rt_filename\" => gtfs_rt_filename,\n                   \"gtfs_rt_permanent_url\" => gtfs_rt_permanent_url\n                 },\n                 \"has_errors\" => true,\n                 \"uuid\" => _uuid\n               },\n               resource_id: ^gtfs_rt_id,\n               secondary_resource_id: ^gtfs_id,\n               secondary_resource_history_id: ^resource_history_id,\n               max_error: \"ERROR\"\n             } = gtfs_rt_validation\n\n      assert gtfs_rt_permanent_url == Transport.S3.permanent_url(:history, gtfs_rt_filename)\n\n      assert %{\n               validator: ^validator_name,\n               result: %{\n                 \"errors\" => [],\n                 \"warnings_count\" => 0,\n                 \"errors_count\" => 0,\n                 \"files\" => %{\n                   \"gtfs_permanent_url\" => ^gtfs_permanent_url,\n                   \"gtfs_resource_history_uuid\" => ^resource_history_uuid,\n                   \"gtfs_rt_filename\" => gtfs_rt_no_errors_filename,\n                   \"gtfs_rt_permanent_url\" => gtfs_rt_no_errors_permanent_url\n                 },\n                 \"has_errors\" => false,\n                 \"uuid\" => _uuid\n               },\n               resource_id: ^gtfs_rt_no_errors_id,\n               secondary_resource_id: ^gtfs_id,\n               secondary_resource_history_id: ^resource_history_id,\n               max_error: nil\n             } = gtfs_rt_no_errors_validation\n\n      assert gtfs_rt_no_errors_permanent_url == Transport.S3.permanent_url(:history, gtfs_rt_no_errors_filename)\n\n      # No temporary files left\n      refute File.exists?(Path.dirname(gtfs_path))\n      refute File.exists?(Path.dirname(gtfs_rt_path))\n      refute File.exists?(Path.dirname(gtfs_rt_no_errors_path))\n    end\n\n    test \"with a GTFS, 2 GTFS-rt and a resource_id filter\" do\n      gtfs_permanent_url = \"https://example.com/gtfs.zip\"\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n      gtfs_rt_no_errors_url = \"https://example.com/gtfs-rt-no-errors\"\n\n      resource_history_uuid = Ecto.UUID.generate()\n\n      %{dataset: dataset, resource_history: %{id: resource_history_id}, resource: %{id: gtfs_id} = gtfs} =\n        insert_up_to_date_resource_and_friends(\n          resource_history_payload: %{\n            \"format\" => \"GTFS\",\n            \"permanent_url\" => gtfs_permanent_url,\n            \"uuid\" => resource_history_uuid\n          }\n        )\n\n      %DB.Resource{id: gtfs_rt_id} =\n        gtfs_rt =\n        insert(:resource,\n          dataset_id: dataset.id,\n          is_available: true,\n          format: \"gtfs-rt\",\n          is_community_resource: false,\n          url: gtfs_rt_url\n        )\n\n      gtfs_rt_no_errors =\n        insert(:resource,\n          dataset_id: dataset.id,\n          is_available: true,\n          format: \"gtfs-rt\",\n          is_community_resource: false,\n          url: gtfs_rt_no_errors_url\n        )\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_rt_url, [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, body = \"gtfs-rt\")\n        {:ok, %Req.Response{status: 200, body: body}}\n      end)\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_permanent_url,\n                         [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, \"gtfs_content\")\n        {:ok, %Req.Response{status: 200}}\n      end)\n\n      mock_s3_stream_upload(gtfs_rt)\n\n      gtfs_path = GTFSRT.download_path(gtfs)\n      gtfs_rt_path = GTFSRT.download_path(gtfs_rt)\n\n      Transport.Rambo.Mock\n      |> expect(:run, fn binary, args, [log: false] ->\n        assert binary == \"java\"\n        assert File.exists?(gtfs_path)\n        assert File.exists?(gtfs_rt_path)\n\n        assert [\n                 \"-jar\",\n                 validator_path(),\n                 \"-gtfs\",\n                 gtfs_path,\n                 \"-gtfsRealtimePath\",\n                 Path.dirname(gtfs_rt_path)\n               ] == args\n\n        File.write!(GTFSRT.gtfs_rt_result_path(gtfs_rt), File.read!(@gtfs_rt_report_path))\n        {:ok, nil}\n      end)\n\n      assert :ok == GTFSRT.validate_and_save(gtfs_rt)\n      {:ok, report} = GTFSRT.convert_validator_report(@gtfs_rt_report_path)\n      expected_errors = Map.fetch!(report, \"errors\")\n\n      gtfs_rt_validation =\n        DB.MultiValidation.with_result()\n        |> where([mv], mv.resource_id == ^gtfs_rt.id and mv.validator == ^GTFSRT.validator_name())\n        |> order_by([mv], desc: mv.inserted_at)\n        |> limit(1)\n        |> DB.Repo.one!()\n\n      validator_name = GTFSRT.validator_name()\n\n      assert %{\n               validator: ^validator_name,\n               result: %{\n                 \"errors\" => ^expected_errors,\n                 \"warnings_count\" => 26,\n                 \"errors_count\" => 4,\n                 \"files\" => %{\n                   \"gtfs_permanent_url\" => ^gtfs_permanent_url,\n                   \"gtfs_resource_history_uuid\" => ^resource_history_uuid,\n                   \"gtfs_rt_filename\" => gtfs_rt_filename,\n                   \"gtfs_rt_permanent_url\" => gtfs_rt_permanent_url\n                 },\n                 \"has_errors\" => true,\n                 \"uuid\" => _uuid\n               },\n               digest: %{\n                 \"warnings_count\" => 26,\n                 \"errors_count\" => 4\n               },\n               resource_id: ^gtfs_rt_id,\n               secondary_resource_id: ^gtfs_id,\n               secondary_resource_history_id: ^resource_history_id,\n               max_error: \"ERROR\"\n             } = gtfs_rt_validation\n\n      assert gtfs_rt_permanent_url == Transport.S3.permanent_url(:history, gtfs_rt_filename)\n\n      refute DB.MultiValidation.with_result()\n             |> where([mv], mv.resource_id == ^gtfs_rt_no_errors.id and mv.validator == ^GTFSRT.validator_name())\n             |> DB.Repo.exists?()\n\n      # No temporary files left\n      refute File.exists?(Path.dirname(gtfs_path))\n      refute File.exists?(Path.dirname(gtfs_rt_path))\n    end\n\n    test \"with a validator error\" do\n      gtfs_permanent_url = \"https://example.com/gtfs.zip\"\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n      validator_message = \"io error: entityType=org.onebusaway.gtfs.model.FeedInfo path=feed_info.txt lineNumber=2\"\n\n      %{dataset: dataset, resource: gtfs} =\n        insert_up_to_date_resource_and_friends(\n          resource_history_payload: %{\n            \"format\" => \"GTFS\",\n            \"permanent_url\" => gtfs_permanent_url,\n            \"uuid\" => Ecto.UUID.generate()\n          }\n        )\n\n      %DB.Resource{} =\n        gtfs_rt =\n        insert(:resource,\n          dataset_id: dataset.id,\n          is_available: true,\n          format: \"gtfs-rt\",\n          is_community_resource: false,\n          url: gtfs_rt_url\n        )\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_rt_url, [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, body = \"gtfs-rt\")\n        {:ok, %Req.Response{status: 200, body: body}}\n      end)\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_permanent_url,\n                         [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, \"gtfs_content\")\n        {:ok, %Req.Response{status: 200}}\n      end)\n\n      mock_s3_stream_upload(gtfs_rt)\n\n      gtfs_path = GTFSRT.download_path(gtfs)\n      gtfs_rt_path = GTFSRT.download_path(gtfs_rt)\n\n      Transport.Rambo.Mock\n      |> expect(:run, fn binary, args, [log: false] ->\n        assert binary == \"java\"\n        assert File.exists?(gtfs_path)\n        assert File.exists?(gtfs_rt_path)\n\n        assert [\n                 \"-jar\",\n                 validator_path(),\n                 \"-gtfs\",\n                 gtfs_path,\n                 \"-gtfsRealtimePath\",\n                 Path.dirname(gtfs_rt_path)\n               ] == args\n\n        {:error, validator_message}\n      end)\n\n      assert :ok == GTFSRT.validate_and_save(dataset)\n\n      refute DB.MultiValidation.with_result()\n             |> where([mv], mv.resource_id == ^gtfs_rt.id and mv.validator == ^GTFSRT.validator_name())\n             |> DB.Repo.exists?()\n    end\n\n    test \"inserts a fatal validation when the validator produces no results file (not a valid GTFS or GTFS-RT)\" do\n      gtfs_permanent_url = \"https://example.com/gtfs.zip\"\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n\n      %{dataset: dataset, resource_history: %{id: resource_history_id}, resource: %{id: gtfs_id}} =\n        insert_up_to_date_resource_and_friends(\n          resource_history_payload: %{\n            \"format\" => \"GTFS\",\n            \"permanent_url\" => gtfs_permanent_url,\n            \"uuid\" => Ecto.UUID.generate()\n          }\n        )\n\n      %DB.Resource{id: gtfs_rt_id} =\n        gtfs_rt =\n        insert(:resource,\n          dataset_id: dataset.id,\n          is_available: true,\n          format: \"gtfs-rt\",\n          is_community_resource: false,\n          url: gtfs_rt_url\n        )\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_rt_url, [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, \"not a gtfs-rt\")\n        {:ok, %Req.Response{status: 200, body: \"not a gtfs-rt\"}}\n      end)\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_permanent_url,\n                         [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, \"gtfs_content\")\n        {:ok, %Req.Response{status: 200}}\n      end)\n\n      mock_s3_stream_upload(gtfs_rt)\n\n      Transport.Rambo.Mock\n      |> expect(:run, fn _binary, _args, [log: false] ->\n        # Validator runs but does not produce a results file\n        {:ok, nil}\n      end)\n\n      assert :ok == GTFSRT.validate_and_save(dataset)\n\n      %DB.MultiValidation{\n        result: result,\n        max_error: \"ERROR\",\n        resource_id: ^gtfs_rt_id,\n        secondary_resource_id: ^gtfs_id,\n        secondary_resource_history_id: ^resource_history_id\n      } =\n        DB.MultiValidation.with_result()\n        |> where([mv], mv.resource_id == ^gtfs_rt.id and mv.validator == ^GTFSRT.validator_name())\n        |> DB.Repo.one!()\n\n      assert %{\n               \"errors_count\" => 1,\n               \"warnings_count\" => 0,\n               \"has_errors\" => true,\n               \"max_severity\" => \"ERROR\",\n               \"errors\" => [%{\"error_id\" => \"FATAL\", \"severity\" => \"ERROR\"}]\n             } = result\n    end\n\n    test \"when there is a memory error, run the validator another time and ignore shapes\" do\n      gtfs_permanent_url = \"https://example.com/gtfs.zip\"\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n\n      %{dataset: dataset, resource: gtfs} =\n        insert_up_to_date_resource_and_friends(\n          resource_history_payload: %{\n            \"format\" => \"GTFS\",\n            \"permanent_url\" => gtfs_permanent_url,\n            \"uuid\" => Ecto.UUID.generate()\n          }\n        )\n\n      %DB.Resource{} =\n        gtfs_rt =\n        insert(:resource,\n          dataset_id: dataset.id,\n          is_available: true,\n          format: \"gtfs-rt\",\n          is_community_resource: false,\n          url: gtfs_rt_url\n        )\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_rt_url, [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, body = \"gtfs-rt\")\n        {:ok, %Req.Response{status: 200, body: body}}\n      end)\n\n      Transport.Req.Mock\n      |> expect(:get, fn ^gtfs_permanent_url,\n                         [compressed: false, decode_body: false, into: %File.Stream{path: stream_path}] ->\n        File.write!(stream_path, \"gtfs_content\")\n        {:ok, %Req.Response{status: 200}}\n      end)\n\n      mock_s3_stream_upload(gtfs_rt)\n\n      gtfs_path = GTFSRT.download_path(gtfs)\n      gtfs_rt_path = GTFSRT.download_path(gtfs_rt)\n\n      Transport.Rambo.Mock\n      |> expect(:run, fn binary, args, [log: false] ->\n        assert binary == \"java\"\n        assert File.exists?(gtfs_path)\n        assert File.exists?(gtfs_rt_path)\n\n        assert [\n                 \"-jar\",\n                 validator_path(),\n                 \"-gtfs\",\n                 gtfs_path,\n                 \"-gtfsRealtimePath\",\n                 Path.dirname(gtfs_rt_path)\n               ] == args\n\n        {:error, \"Exception in thread main java.lang.OutOfMemoryError: Java heap space\"}\n      end)\n\n      # Runs the validator another time, this time it should ignore shapes validation\n      Transport.Rambo.Mock\n      |> expect(:run, fn binary, args, [log: false] ->\n        assert binary == \"java\"\n        assert File.exists?(gtfs_path)\n        assert File.exists?(gtfs_rt_path)\n\n        assert [\n                 \"-jar\",\n                 validator_path(),\n                 \"-ignoreShapes\",\n                 \"yes\",\n                 \"-gtfs\",\n                 gtfs_path,\n                 \"-gtfsRealtimePath\",\n                 Path.dirname(gtfs_rt_path)\n               ] == args\n\n        File.write!(GTFSRT.gtfs_rt_result_path(gtfs_rt), File.read!(@gtfs_rt_report_path))\n        {:ok, nil}\n      end)\n\n      assert :ok == GTFSRT.validate_and_save(dataset)\n\n      assert DB.MultiValidation.with_result()\n             |> where([mv], mv.resource_id == ^gtfs_rt.id and mv.validator == ^GTFSRT.validator_name())\n             |> DB.Repo.exists?()\n\n      # No temporary files left\n      refute File.exists?(Path.dirname(gtfs_path))\n      refute File.exists?(Path.dirname(gtfs_rt_path))\n    end\n  end\n\n  describe \"gtfs_rt_resources\" do\n    test \"with an outdated GTFS and 1 GTFS-RT\" do\n      %{dataset: dataset} = insert_outdated_resource_and_friends()\n      insert(:resource, dataset: dataset, is_available: true, format: \"gtfs-rt\")\n      assert [] == GTFSRT.gtfs_rt_resources(dataset)\n    end\n\n    test \"with 2 GTFS, a GTFS-RT linked to an outdated one: it uses the up-to-date one\" do\n      %{dataset: dataset, resource: gtfs_1} = insert_outdated_resource_and_friends()\n      %{resource: gtfs_2} = insert_up_to_date_resource_and_friends(dataset: dataset)\n      %{id: gtfs_2_id} = gtfs_2\n\n      %DB.Resource{id: gtfs_rt_1_id} =\n        gtfs_rt_1 =\n        insert(:resource, dataset: dataset, is_available: true, format: \"gtfs-rt\", is_community_resource: false)\n\n      insert(:resource_related, resource_src: gtfs_rt_1, resource_dst: gtfs_1, reason: :gtfs_rt_gtfs)\n\n      assert [\n               {%DB.Resource{id: ^gtfs_2_id}, %DB.Resource{id: ^gtfs_rt_1_id}}\n             ] = GTFSRT.gtfs_rt_resources(dataset)\n    end\n\n    test \"with 2 up-to-date GTFS, 2 GTFS-RT linked to a GTFS, 1 GTFS-RT linked to nothing\" do\n      %{dataset: dataset, resource: %DB.Resource{id: gtfs_1_id, format: \"GTFS\"} = gtfs_1} =\n        insert_up_to_date_resource_and_friends()\n\n      %{resource: %DB.Resource{format: \"GTFS\"}} = insert_up_to_date_resource_and_friends(dataset: dataset)\n\n      %DB.Resource{id: gtfs_rt_1_id} =\n        gtfs_rt_1 =\n        insert(:resource, dataset: dataset, is_available: true, format: \"gtfs-rt\", is_community_resource: false)\n\n      %DB.Resource{id: gtfs_rt_2_id} =\n        gtfs_rt_2 =\n        insert(:resource, dataset: dataset, is_available: true, format: \"gtfs-rt\", is_community_resource: false)\n\n      # Should be ignored because no `resource_related` exists\n      _ignored_gtfs_rt = insert(:resource, dataset: dataset, is_available: true, format: \"gtfs-rt\")\n\n      insert(:resource_related, resource_src: gtfs_rt_1, resource_dst: gtfs_1, reason: :gtfs_rt_gtfs)\n      insert(:resource_related, resource_src: gtfs_rt_2, resource_dst: gtfs_1, reason: :gtfs_rt_gtfs)\n\n      assert [\n               {%DB.Resource{id: ^gtfs_1_id}, %DB.Resource{id: ^gtfs_rt_1_id}},\n               {%DB.Resource{id: ^gtfs_1_id}, %DB.Resource{id: ^gtfs_rt_2_id}}\n             ] = GTFSRT.gtfs_rt_resources(dataset)\n    end\n  end\n\n  defp validator_path, do: Path.join(Application.fetch_env!(:transport, :transport_tools_folder), @validator_filename)\n\n  defp mock_s3_stream_upload(%DB.Resource{id: resource_id}) do\n    Transport.Test.S3TestUtils.s3_mock_stream_file(\n      start_path: to_string(resource_id),\n      bucket: \"transport-data-gouv-fr-resource-history-test\"\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/gtfs_transport_validator_test.exs",
    "content": "defmodule Transport.Validators.GtfsTransportValidatorTest do\n  use ExUnit.Case, async: true\n  import Mox\n  import DB.Factory\n  alias Transport.Validators.GTFSTransport\n\n  doctest Transport.Validators.GTFSTransport, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"the GTFS validator inserts expected data in DB\" do\n    %{id: resource_history_id} = insert(:resource_history)\n\n    validation_content = %{\n      \"NullDuration\" => [%{\"severity\" => \"Information\"}],\n      \"MissingCoordinates\" => [%{\"severity\" => \"Warning\"}]\n    }\n\n    digest = Transport.Validators.GTFSTransport.digest(validation_content)\n\n    # Add a fake GeoJSON point to each issue\n    validation_content_with_geojson =\n      Enum.into(validation_content, %{}, fn {issue_type, issues} ->\n        {issue_type,\n         Enum.map(\n           issues,\n           &Map.put(&1, \"geojson\", %{\n             \"features\" => [\n               %{\n                 \"geometry\" => %{\n                   \"coordinates\" => [\n                     5.001521,\n                     47.317228\n                   ],\n                   \"type\" => \"Point\"\n                 },\n                 \"type\" => \"Feature\"\n               }\n             ]\n           })\n         )}\n      end)\n\n    data_vis_content = %{\"data_vis\" => \"some data vis\"}\n    metadata_content = %{\"m\" => 1, \"validator_version\" => validator_version = \"0.2.0\"}\n\n    Transport.DataVisualization.Mock\n    |> expect(:validation_data_vis, 1, fn _ ->\n      data_vis_content\n    end)\n\n    Shared.Validation.Validator.Mock\n    |> expect(:validate_from_url, 1, fn _url ->\n      {:ok, %{\"validations\" => validation_content_with_geojson, \"metadata\" => metadata_content}}\n    end)\n\n    Transport.Validators.GTFSTransport.validate_and_save(%DB.ResourceHistory{\n      id: resource_history_id,\n      payload: %{\"permanent_url\" => \"url\"}\n    })\n\n    assert %{\n             id: validation_id,\n             result: ^validation_content,\n             digest: ^digest,\n             data_vis: ^data_vis_content,\n             resource_history_id: ^resource_history_id,\n             validator_version: ^validator_version,\n             max_error: \"Warning\"\n           } =\n             DB.MultiValidation.with_result()\n             |> DB.Repo.get_by!(resource_history_id: resource_history_id)\n\n    assert %{metadata: ^metadata_content, resource_history_id: ^resource_history_id} =\n             DB.ResourceMetadata |> DB.Repo.get_by!(multi_validation_id: validation_id)\n  end\n\n  test \"find_tags_from_metadata\" do\n    # Can detect all available tags\n    assert [\"transport à la demande\"] ==\n             GTFSTransport.find_tags_from_metadata(%{\"some_stops_need_phone_agency\" => true})\n\n    assert [\"transport à la demande\"] ==\n             GTFSTransport.find_tags_from_metadata(%{\"some_stops_need_phone_driver\" => true})\n\n    assert [\"description des correspondances\"] == GTFSTransport.find_tags_from_metadata(%{\"has_pathways\" => true})\n    assert [\"tracés de lignes\"] == GTFSTransport.find_tags_from_metadata(%{\"has_shapes\" => true})\n\n    assert [\"couleurs des lignes\"] ==\n             GTFSTransport.find_tags_from_metadata(%{\n               \"stats\" => %{\"routes_with_custom_color_count\" => 4, \"routes_count\" => 5}\n             })\n\n    assert GTFSTransport.find_tags_from_metadata(%{\"lines_with_custom_color_count\" => 0, \"has_fares\" => false}) == []\n\n    # Can find multiple tags\n    assert GTFSTransport.find_tags_from_metadata(%{\"has_fares\" => true, \"has_pathways\" => true}) == [\n             \"tarifs\",\n             \"description des correspondances\"\n           ]\n\n    assert GTFSTransport.find_tags_from_metadata(%{\n             \"some_stops_need_phone_driver\" => true,\n             \"some_stops_need_phone_agency\" => true\n           }) == [\"transport à la demande\"]\n\n    # Does not crash when map is empty or some keys are not recognised\n    assert GTFSTransport.find_tags_from_metadata(%{}) == []\n    assert GTFSTransport.find_tags_from_metadata(%{\"foo\" => \"bar\"}) == []\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/jsonschema_validata_json_test.exs",
    "content": "defmodule Transport.Validators.ValidataJsonTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Mox\n\n  doctest Transport.Validators.ValidataJson, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"a validata json validation\" do\n    job_id = Ecto.UUID.generate()\n\n    Transport.Schemas.Mock\n    |> expect(:transport_schemas, 2, fn ->\n      %{\n        \"etalab/schema_name\" => %{\n          \"versions\" => [\n            %{\n              \"version_name\" => \"schema_version\",\n              \"schema_url\" => \"schema_url\"\n            }\n          ]\n        }\n      }\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:post, 1, fn _url, \"\" ->\n      {:ok, %HTTPoison.Response{status_code: 201, body: job_id}}\n    end)\n\n    poll_url = \"https://json.validator.validata.fr/job/#{job_id}\"\n    output_url = poll_url <> \"/output?text_or_json=json\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:get, 1, fn ^poll_url ->\n      {:ok, %HTTPoison.Response{status_code: 303, headers: [{\"location\", \"/job/#{job_id}/output\"}]}}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:get, 1, fn ^output_url ->\n      {:ok, %HTTPoison.Response{status_code: 200, body: \"{\\\"validated\\\": true}\"}}\n    end)\n\n    rh =\n      insert(:resource_history,\n        payload: %{\n          \"permanent_url\" => \"permananent_url\",\n          \"schema_name\" => \"etalab/schema_name\",\n          \"schema_version\" => \"schema_version\"\n        }\n      )\n\n    assert :ok = Transport.Validators.ValidataJson.validate_and_save(rh)\n    mv = DB.MultiValidation.with_result() |> DB.Repo.get_by!(resource_history_id: rh.id)\n\n    assert mv.validator == Transport.Validators.ValidataJson.validator_name()\n    assert mv.result == %{\"validated\" => true}\n    assert mv.digest == %{}\n    assert mv.resource_history_id == rh.id\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/jsonschema_validator_test.exs",
    "content": "defmodule Transport.Validators.JSONSchemaTest do\n  use ExUnit.Case, async: false\n  import DB.Factory\n  import Mox\n  import Transport.Validators.JSONSchema\n\n  doctest Transport.Validators.JSONSchema, import: true\n\n  @validator_version_regex ~r/^0\\.\\d+\\.\\d$/\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.Schemas.Mock, Transport.Schemas)\n    Cachex.clear(Transport.Application.cache_name())\n    on_exit(fn -> Cachex.clear(Transport.Application.cache_name()) end)\n    :ok\n  end\n\n  describe \"load_jsonschema_for_schema\" do\n    test \"schema-zfe\" do\n      setup_schemas_response()\n      setup_zfe_schema()\n      schema = load_jsonschema_for_schema(schema_name = \"etalab/schema-zfe\")\n\n      assert %ExJsonSchema.Schema.Root{\n               schema: %{\"properties\" => %{\"name\" => %{\"type\" => \"string\"}}, \"required\" => [\"name\"], \"type\" => \"object\"},\n               version: 7\n             } = schema\n\n      assert_cache_key_has_ttl(\"jsonschema_#{schema_name}_latest\")\n\n      assert ExJsonSchema.Validator.valid?(schema, %{\"name\" => \"foo\"})\n    end\n\n    test \"non existing schema\" do\n      setup_schemas_response()\n\n      assert_raise RuntimeError, fn ->\n        load_jsonschema_for_schema(\"etalab/foo\")\n      end\n    end\n\n    test \"with a specific version\" do\n      schema_version = \"0.7.1\"\n      setup_schemas_response()\n      setup_zfe_schema(schema_version)\n      schema = load_jsonschema_for_schema(schema_name = \"etalab/schema-zfe\", schema_version)\n\n      assert %ExJsonSchema.Schema.Root{\n               schema: %{\"properties\" => %{\"name\" => %{\"type\" => \"string\"}}, \"required\" => [\"name\"], \"type\" => \"object\"},\n               version: 7\n             } = schema\n\n      assert_cache_key_has_ttl(\"jsonschema_#{schema_name}_#{schema_version}\")\n    end\n  end\n\n  describe \"validate\" do\n    test \"valid object\" do\n      assert %{\n               \"errors_count\" => 0,\n               \"has_errors\" => false,\n               \"errors\" => [],\n               \"validator\" => Transport.Validators.JSONSchema\n             } ==\n               validate(name_jsonschema(), %{\"name\" => \"foo\"})\n    end\n\n    test \"invalid object\" do\n      assert %{\n               \"errors_count\" => 1,\n               \"has_errors\" => true,\n               \"errors\" => [\"#: Required property name was not present.\"],\n               \"validator\" => Transport.Validators.JSONSchema\n             } ==\n               validate(name_jsonschema(), %{})\n\n      assert %{\n               \"errors_count\" => 1,\n               \"has_errors\" => true,\n               \"errors\" => [\"#/name: Type mismatch. Expected String but got Integer.\"],\n               \"validator\" => Transport.Validators.JSONSchema\n             } ==\n               validate(name_jsonschema(), %{\"name\" => 42})\n    end\n\n    test \"with an url and a valid payload\" do\n      url = \"http://example.com/file\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^url, [], follow_redirect: true, recv_timeout: _ ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(%{\"name\" => \"foo\"})}}\n      end)\n\n      assert %{\n               \"errors_count\" => 0,\n               \"has_errors\" => false,\n               \"errors\" => [],\n               \"validator\" => Transport.Validators.JSONSchema\n             } == validate(name_jsonschema(), url)\n    end\n\n    test \"with an url and a server error\" do\n      url = \"http://example.com/file\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^url, [], follow_redirect: true, recv_timeout: _ ->\n        {:ok, %HTTPoison.Response{status_code: 500, body: \"error\"}}\n      end)\n\n      assert nil == validate(name_jsonschema(), url)\n    end\n\n    test \"with an url and an invalid payload\" do\n      url = \"http://example.com/file\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^url, [], follow_redirect: true, recv_timeout: _ ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"error\"}}\n      end)\n\n      assert nil == validate(name_jsonschema(), url)\n    end\n\n    test \"supports version up to 7\" do\n      base_schema = %{\"type\" => \"object\", \"properties\" => %{\"foo\" => %{\"type\" => \"string\"}}}\n      v7_schema = Map.put(base_schema, \"$schema\", \"http://json-schema.org/draft-07/schema\")\n\n      assert ExJsonSchema.Schema.resolve(v7_schema)\n\n      # 2019-09 was previously known as version 8\n      assert_raise ExJsonSchema.Schema.UnsupportedSchemaVersionError, fn ->\n        base_schema\n        |> Map.put(\"$schema\", \"https://json-schema.org/draft/2019-09/schema\")\n        |> ExJsonSchema.Schema.resolve()\n      end\n    end\n\n    test \"can validate dependencies\" do\n      schema = %ExJsonSchema.Schema.Root{\n        schema: %{\n          \"properties\" => %{\"name\" => %{\"type\" => \"string\"}, \"age\" => %{\"type\" => \"integer\"}},\n          \"type\" => \"object\",\n          \"dependencies\" => %{\"name\" => [\"age\"], \"age\" => [\"name\"]}\n        },\n        version: 7\n      }\n\n      assert %{\n               \"errors\" => [\"#: Property name depends on property age to be present but it was not.\"],\n               \"errors_count\" => 1,\n               \"has_errors\" => true,\n               \"validator\" => Transport.Validators.JSONSchema\n             } == validate(schema, %{\"name\" => \"Bob\"})\n\n      assert %{\n               \"errors\" => [\"#: Property age depends on property name to be present but it was not.\"],\n               \"errors_count\" => 1,\n               \"has_errors\" => true,\n               \"validator\" => Transport.Validators.JSONSchema\n             } == validate(schema, %{\"age\" => 42})\n\n      # Our Elixir validator does not recognise `dependentRequired` yet,\n      # even if it exists in the JSONSchema spec\n      # https://json-schema.org/understanding-json-schema/reference/conditionals.html#id4\n      #\n      # See https://github.com/etalab/transport-site/issues/2347\n      {value, base_schema} = Map.pop!(schema.schema, \"dependencies\")\n\n      dependent_required_schema = %ExJsonSchema.Schema.Root{\n        schema: Map.put(base_schema, \"dependentRequired\", value),\n        version: 7\n      }\n\n      assert Map.has_key?(dependent_required_schema.schema, \"dependentRequired\")\n\n      assert %{\"has_errors\" => false} = validate(dependent_required_schema, %{\"name\" => \"Bob\"})\n      assert %{\"has_errors\" => false} = validate(dependent_required_schema, %{\"age\" => 42})\n    end\n  end\n\n  defp name_jsonschema do\n    %ExJsonSchema.Schema.Root{\n      schema: %{\"properties\" => %{\"name\" => %{\"type\" => \"string\"}}, \"required\" => [\"name\"], \"type\" => \"object\"},\n      version: 7\n    }\n  end\n\n  defp setup_zfe_schema(version \\\\ \"0.7.2\") do\n    url = \"https://schema.data.gouv.fr/schemas/etalab/schema-zfe/#{version}/schema.json\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn ^url ->\n      body = \"\"\"\n      {\n         \"type\": \"object\",\n         \"properties\": {\n            \"name\": {\"type\": \"string\"}\n         },\n         \"required\":[\"name\"]\n      }\n      \"\"\"\n\n      %HTTPoison.Response{body: body, status_code: 200}\n    end)\n  end\n\n  defp setup_schemas_response do\n    url = \"https://schema.data.gouv.fr/schemas.json\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn ^url ->\n      %HTTPoison.Response{body: File.read!(\"#{__DIR__}/../../fixture/schemas/schemas.json\"), status_code: 200}\n    end)\n  end\n\n  test \"test data is up to date\" do\n    # This piece of code or regex may need to be updated if we upgrade\n    # the version of this dependency\n    assert String.match?(to_string(Application.spec(:ex_json_schema, :vsn)), @validator_version_regex)\n  end\n\n  test \"inserts the expected data in the database\" do\n    %{id: resource_history_id} =\n      resource_history =\n      insert(:resource_history,\n        payload: %{\n          \"permanent_url\" => permanent_url = \"https://example.com/permanent\",\n          \"schema_name\" => schema_name = \"etalab/schema-zfe\",\n          \"schema_version\" => nil,\n          \"latest_schema_version_to_date\" => schema_version = \"0.4.2\"\n        }\n      )\n\n    mock_load_jsonschema(schema_name, schema_version)\n\n    Transport.Validators.JSONSchema.Mock\n    |> expect(:validate, fn _schema, ^permanent_url ->\n      %{\"has_errors\" => false, \"errors_count\" => 0, \"errors\" => []}\n    end)\n\n    assert :ok == validate_and_save(resource_history)\n\n    assert %{\n             result: %{\"has_errors\" => false, \"errors_count\" => 0, \"errors\" => [], \"validation_performed\" => true},\n             digest: %{\"errors_count\" => 0},\n             resource_history_id: ^resource_history_id,\n             command: nil,\n             data_vis: nil,\n             validation_timestamp: _,\n             validator: \"EXJSONSchema\",\n             validator_version: validator_version\n           } = DB.MultiValidation.with_result() |> DB.Repo.get_by!(resource_history_id: resource_history_id)\n\n    assert String.match?(validator_version, @validator_version_regex)\n  end\n\n  test \"perform_validation when validator returns nil\" do\n    schema_name = \"etalab/schema-zfe\"\n    schema_version = \"0.1.2\"\n    permanent_url = \"https://example.com/permanent_url\"\n\n    mock_load_jsonschema(schema_name, schema_version)\n\n    Transport.Validators.JSONSchema.Mock\n    |> expect(:validate, fn _schema, ^permanent_url -> nil end)\n\n    assert %{\"validation_performed\" => false} == perform_validation(schema_name, schema_version, permanent_url)\n  end\n\n  defp mock_load_jsonschema(schema_name, schema_version) do\n    Transport.Validators.JSONSchema.Mock\n    |> expect(:load_jsonschema_for_schema, fn ^schema_name, ^schema_version ->\n      %ExJsonSchema.Schema.Root{\n        schema: %{\"properties\" => %{\"name\" => %{\"type\" => \"string\"}}, \"required\" => [\"name\"], \"type\" => \"object\"},\n        version: 7\n      }\n    end)\n  end\n\n  def assert_cache_key_has_ttl(cache_key, expected_ttl \\\\ 300) do\n    assert_in_delta Cachex.ttl!(cache_name(), cache_key), :timer.seconds(expected_ttl), :timer.seconds(1)\n  end\n\n  defp cache_name, do: Transport.Application.cache_name()\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/mobilitydata_gtfs_validator_client_test.exs",
    "content": "defmodule Transport.Validators.MobilityDataGTFSValidatorClientTest do\n  use ExUnit.Case, async: true\n  import Mox\n  alias Transport.Validators.MobilityDataGTFSValidatorClient\n\n  @default_http_headers [{\"user-agent\", \"French NAP; contact@transport.data.gouv.fr\"}]\n\n  setup :verify_on_exit!\n\n  test \"create_a_validation\" do\n    job_id = Ecto.UUID.generate()\n    gtfs_url = \"https://example.com/#{Ecto.UUID.generate()}\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:post!, fn url, args, headers, [recv_timeout: 10_000] ->\n      assert headers == [\n               {\"content-type\", \"application/json\"},\n               {\"user-agent\", \"French NAP; contact@transport.data.gouv.fr\"}\n             ]\n\n      assert url == \"https://gtfs-validator-web-mbzoxaljzq-ue.a.run.app/create-job\"\n\n      assert args ==\n               %{\n                 \"countryCode\" => \"FR\",\n                 \"url\" => gtfs_url\n               }\n               |> Jason.encode!()\n\n      body = %{jobId: job_id} |> Jason.encode!()\n      %HTTPoison.Response{status_code: 200, body: body}\n    end)\n\n    assert job_id == MobilityDataGTFSValidatorClient.create_a_validation(gtfs_url)\n  end\n\n  describe \"get_a_validation\" do\n    test \"successful\" do\n      job_id = Ecto.UUID.generate()\n      execution_result_url = \"https://gtfs-validator-results.mobilitydata.org/#{job_id}/execution_result.json\"\n      report_url = \"https://gtfs-validator-results.mobilitydata.org/#{job_id}/report.json\"\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^execution_result_url, @default_http_headers ->\n        %HTTPoison.Response{status_code: 404}\n      end)\n\n      assert :pending == MobilityDataGTFSValidatorClient.get_a_validation(job_id)\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^execution_result_url, @default_http_headers ->\n        %HTTPoison.Response{status_code: 200, body: %{\"status\" => \"success\"} |> Jason.encode!()}\n      end)\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^report_url, @default_http_headers ->\n        %HTTPoison.Response{status_code: 200, body: %{\"data\" => 42} |> Jason.encode!()}\n      end)\n\n      assert {:successful, %{\"data\" => 42}} == MobilityDataGTFSValidatorClient.get_a_validation(job_id)\n    end\n\n    test \"error\" do\n      job_id = Ecto.UUID.generate()\n      execution_result_url = \"https://gtfs-validator-results.mobilitydata.org/#{job_id}/execution_result.json\"\n      report_url = \"https://gtfs-validator-results.mobilitydata.org/#{job_id}/report.json\"\n      system_errors_url = \"https://gtfs-validator-results.mobilitydata.org/#{job_id}/system_errors.json\"\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^execution_result_url, @default_http_headers ->\n        %HTTPoison.Response{status_code: 200, body: %{\"status\" => \"error\"} |> Jason.encode!()}\n      end)\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^report_url, @default_http_headers ->\n        %HTTPoison.Response{status_code: 200, body: %{\"data\" => 42} |> Jason.encode!()}\n      end)\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^system_errors_url, @default_http_headers ->\n        %HTTPoison.Response{status_code: 200, body: %{\"error_details\" => 1337} |> Jason.encode!()}\n      end)\n\n      assert {:error, %{\"data\" => 42, \"system_errors\" => %{\"error_details\" => 1337}}} ==\n               MobilityDataGTFSValidatorClient.get_a_validation(job_id)\n    end\n\n    test \"unexpected_validation_status\" do\n      job_id = Ecto.UUID.generate()\n      execution_result_url = \"https://gtfs-validator-results.mobilitydata.org/#{job_id}/execution_result.json\"\n\n      expect(Transport.HTTPoison.Mock, :get!, fn ^execution_result_url, @default_http_headers ->\n        %HTTPoison.Response{status_code: 500}\n      end)\n\n      assert :unexpected_validation_status == MobilityDataGTFSValidatorClient.get_a_validation(job_id)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/mobilitydata_gtfs_validator_test.exs",
    "content": "defmodule Transport.Validators.MobilityDataGTFSValidatorTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Mox\n  alias Transport.Validators.MobilityDataGTFSValidator\n\n  doctest Transport.Validators.MobilityDataGTFSValidator, import: true\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"validate_and_save for ResourceHistory\" do\n    gtfs_url = \"https://example.com/gtfs\"\n    job_id = Ecto.UUID.generate()\n    report_html_url = \"https://example.com/#{job_id}/report.html\"\n    version = \"4.2.0\"\n    %{id: rh_id} = rh = insert(:resource_history, payload: %{\"permanent_url\" => gtfs_url})\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :create_a_validation, fn ^gtfs_url ->\n      job_id\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :get_a_validation, fn ^job_id ->\n      notices = [\n        %{\n          \"code\" => \"unusable_trip\",\n          \"severity\" => \"WARNING\",\n          \"totalNotices\" => 2,\n          \"sampleNotices\" => [%{\"foo\" => \"bar\"}]\n        }\n      ]\n\n      report = %{\n        \"summary\" => %{\n          \"validatorVersion\" => version,\n          \"counts\" => %{\"Stops\" => 1337},\n          \"agencies\" => [%{\"url\" => \"https://example.com/agency\", \"name\" => \"Agency\"}],\n          \"feedInfo\" => %{\"feedServiceWindowStart\" => \"2025-01-01\", \"feedServiceWindowEnd\" => \"2025-02-01\"},\n          \"gtfsFeatures\" => [\"Continuous Stops\", \"Bike Allowed\"]\n        },\n        \"notices\" => notices\n      }\n\n      {:successful, report}\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :report_html_url, fn ^job_id ->\n      report_html_url\n    end)\n\n    assert :ok == MobilityDataGTFSValidator.validate_and_save(rh)\n\n    assert [\n             %DB.MultiValidation{\n               id: mv_id,\n               resource_history_id: ^rh_id,\n               validator: \"MobilityData GTFS Validator\",\n               validator_version: ^version,\n               command: ^report_html_url,\n               result: %{\n                 \"notices\" => [\n                   %{\n                     \"code\" => \"unusable_trip\",\n                     \"sampleNotices\" => [%{\"foo\" => \"bar\"}],\n                     \"severity\" => \"WARNING\",\n                     \"totalNotices\" => 2\n                   }\n                 ],\n                 \"summary\" => %{\"validatorVersion\" => \"4.2.0\"}\n               },\n               digest: %{\n                 \"max_severity\" => %{\"max_level\" => \"WARNING\", \"worst_occurrences\" => 2},\n                 \"stats\" => %{\"WARNING\" => 2},\n                 \"summary\" => [%{\"code\" => \"unusable_trip\", \"severity\" => \"WARNING\", \"totalNotices\" => 2}]\n               },\n               max_error: \"WARNING\"\n             }\n           ] = DB.MultiValidation.with_result() |> DB.Repo.all()\n\n    assert [\n             %DB.ResourceMetadata{\n               resource_id: nil,\n               resource_history_id: ^rh_id,\n               multi_validation_id: ^mv_id,\n               metadata: %{\n                 \"agencies\" => [%{\"name\" => \"Agency\", \"url\" => \"https://example.com/agency\"}],\n                 \"counts\" => %{\"Stops\" => 1337},\n                 \"feedInfo\" => %{\"feedServiceWindowEnd\" => \"2025-02-01\", \"feedServiceWindowStart\" => \"2025-01-01\"},\n                 \"start_date\" => \"2025-01-01\",\n                 \"end_date\" => \"2025-02-01\"\n               },\n               modes: [],\n               features: [\"Continuous Stops\", \"Bike Allowed\"]\n             }\n           ] =\n             DB.ResourceMetadata |> DB.Repo.all()\n  end\n\n  test \"uses the GitHub validator version if the version is missing from the summary\" do\n    gtfs_url = \"https://example.com/gtfs\"\n    job_id = Ecto.UUID.generate()\n    report_html_url = \"https://example.com/#{job_id}/report.html\"\n    version = \"4.2.0\"\n    %{id: rh_id} = rh = insert(:resource_history, payload: %{\"permanent_url\" => gtfs_url})\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :create_a_validation, fn ^gtfs_url ->\n      job_id\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :get_a_validation, fn ^job_id ->\n      notices = [\n        %{\n          \"code\" => \"unusable_trip\",\n          \"severity\" => \"WARNING\",\n          \"totalNotices\" => 2,\n          \"sampleNotices\" => [%{\"foo\" => \"bar\"}]\n        }\n      ]\n\n      {:successful, %{\"summary\" => %{}, \"notices\" => notices}}\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :report_html_url, fn ^job_id ->\n      report_html_url\n    end)\n\n    # Call to GitHub to get the version\n    expect(Transport.HTTPoison.Mock, :get!, fn url ->\n      assert url == \"https://api.github.com/repos/MobilityData/gtfs-validator/releases/latest\"\n      %HTTPoison.Response{status_code: 200, body: %{tag_name: \"v\" <> version} |> Jason.encode!()}\n    end)\n\n    assert :ok == MobilityDataGTFSValidator.validate_and_save(rh)\n\n    assert [\n             %DB.MultiValidation{\n               resource_history_id: ^rh_id,\n               validator: \"MobilityData GTFS Validator\",\n               validator_version: ^version,\n               command: ^report_html_url\n             }\n           ] = DB.MultiValidation.with_result() |> DB.Repo.all()\n  end\n\n  test \"validate_and_save when error\" do\n    gtfs_url = \"https://example.com/gtfs\"\n    job_id = Ecto.UUID.generate()\n    %{id: rh_id} = rh = insert(:resource_history, payload: %{\"permanent_url\" => gtfs_url})\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :create_a_validation, fn ^gtfs_url ->\n      job_id\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :get_a_validation, fn ^job_id ->\n      {:error, %{\"reason\" => \"nope\"}}\n    end)\n\n    expect(Transport.HTTPoison.Mock, :get!, fn url ->\n      assert url == \"https://api.github.com/repos/MobilityData/gtfs-validator/releases/latest\"\n      %HTTPoison.Response{status_code: 200, body: %{tag_name: \"4.2.0\"} |> Jason.encode!()}\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :report_html_url, fn ^job_id ->\n      \"https://example.com/report\"\n    end)\n\n    assert :ok == MobilityDataGTFSValidator.validate_and_save(rh)\n\n    assert [\n             mv = %DB.MultiValidation{\n               resource_history_id: ^rh_id,\n               validator: \"MobilityData GTFS Validator\",\n               result: %{\"reason\" => \"nope\", \"validation_performed\" => false}\n             }\n           ] = DB.MultiValidation.with_result() |> DB.Repo.all()\n\n    refute TransportWeb.DatasetView.multi_validation_performed?(mv)\n  end\n\n  test \"validate_and_save when unexpected_validation_status\" do\n    gtfs_url = \"https://example.com/gtfs\"\n    job_id = Ecto.UUID.generate()\n    %{id: rh_id} = rh = insert(:resource_history, payload: %{\"permanent_url\" => gtfs_url})\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :create_a_validation, fn ^gtfs_url ->\n      job_id\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :get_a_validation, fn ^job_id ->\n      :unexpected_validation_status\n    end)\n\n    expect(Transport.HTTPoison.Mock, :get!, fn url ->\n      assert url == \"https://api.github.com/repos/MobilityData/gtfs-validator/releases/latest\"\n      %HTTPoison.Response{status_code: 200, body: %{tag_name: \"4.2.0\"} |> Jason.encode!()}\n    end)\n\n    expect(Transport.Validators.MobilityDataGTFSValidatorClient.Mock, :report_html_url, fn ^job_id ->\n      \"https://example.com/report\"\n    end)\n\n    assert :ok == MobilityDataGTFSValidator.validate_and_save(rh)\n\n    assert [\n             mv = %DB.MultiValidation{\n               resource_history_id: ^rh_id,\n               validator: \"MobilityData GTFS Validator\",\n               result: %{\"reason\" => \"unexpected_validation_status\", \"validation_performed\" => false}\n             }\n           ] = DB.MultiValidation.with_result() |> DB.Repo.all()\n\n    refute TransportWeb.DatasetView.multi_validation_performed?(mv)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/netex/metadata_extractor_test.exs",
    "content": "defmodule Transport.Validators.NeTEx.MetadataExtractorTest do\n  use ExUnit.Case, async: true\n  import Transport.TmpFile\n\n  alias Transport.Validators.NeTEx.MetadataExtractor\n\n  describe \"invalid zip archives\" do\n    test \"empty or corrupt file should return empty result silently\" do\n      for content <- [\"\", \"illegal zip content\"] do\n        {true, logs} =\n          ExUnit.CaptureLog.with_log(fn ->\n            with_tmp_file(content, fn filepath ->\n              assert %{\n                       \"no_validity_dates\" => true,\n                       \"networks\" => [],\n                       \"modes\" => [],\n                       \"stats\" => %{\n                         \"lines_count\" => 0,\n                         \"quays_count\" => 0,\n                         \"stop_places_count\" => 0\n                       },\n                       \"features\" => %{\n                         \"networks\" => false,\n                         \"stops\" => false,\n                         \"timetables\" => false,\n                         \"fares\" => false,\n                         \"parkings\" => false,\n                         \"accessibility\" => false\n                       }\n                     } ==\n                       MetadataExtractor.extract(filepath)\n            end)\n          end)\n\n        assert logs =~ \"Invalid zip file, missing EOCD record\"\n      end\n    end\n\n    test \"empty valid ZIP archive\" do\n      ZipCreator.with_tmp_zip([], fn filepath ->\n        assert %{\n                 \"no_validity_dates\" => true,\n                 \"networks\" => [],\n                 \"modes\" => [],\n                 \"stats\" => %{\n                   \"lines_count\" => 0,\n                   \"quays_count\" => 0,\n                   \"stop_places_count\" => 0\n                 },\n                 \"features\" => %{\n                   \"networks\" => false,\n                   \"stops\" => false,\n                   \"timetables\" => false,\n                   \"fares\" => false,\n                   \"parkings\" => false,\n                   \"accessibility\" => false\n                 }\n               } ==\n                 MetadataExtractor.extract(filepath)\n      end)\n    end\n  end\n\n  describe \"validity dates\" do\n    test \"simple NeTEx archive\" do\n      calendar_content = \"\"\"\n        <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" xmlns:gis=\"http://www.opengis.net/gml/3.2\" xmlns:siri=\"http://www.siri.org.uk/siri\" version=\"1.1:FR-NETEX_CALENDRIER-2.2\">\n          <PublicationTimestamp>2025-07-29T09:34:55Z</PublicationTimestamp>\n          <ParticipantRef>DIGO</ParticipantRef>\n          <dataObjects>\n            <GeneralFrame version=\"any\" id=\"DIGO:GeneralFrame:NETEX_CALENDRIER-20250729093455Z:LOC\">\n              <ValidBetween>\n                <FromDate>2025-07-05T00:00:00</FromDate>\n                <ToDate>2025-08-31T23:59:59</ToDate>\n              </ValidBetween>\n            </GeneralFrame>\n          </dataObjects>\n        </PublicationDelivery>\n      \"\"\"\n\n      ZipCreator.with_tmp_zip([{\"resource.xml\", calendar_content}] |> in_sub_directory(), fn filepath ->\n        assert %{\n                 \"start_date\" => \"2025-07-05\",\n                 \"end_date\" => \"2025-08-31\",\n                 \"networks\" => [],\n                 \"modes\" => [],\n                 \"stats\" => %{\n                   \"lines_count\" => 0,\n                   \"quays_count\" => 0,\n                   \"stop_places_count\" => 0\n                 },\n                 \"features\" => %{\n                   \"networks\" => false,\n                   \"stops\" => false,\n                   \"timetables\" => false,\n                   \"fares\" => false,\n                   \"parkings\" => false,\n                   \"accessibility\" => false\n                 }\n               } ==\n                 MetadataExtractor.extract(filepath)\n      end)\n    end\n\n    test \"validity dates from dayTypes\" do\n      service_calendar_content = \"\"\"\n        <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" xmlns:siri=\"http://www.siri.org.uk/siri\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" version=\"1.0\" xsi:schemaLocation=\"http://www.netex.org.uk/netex ../../../xsd/NeTEx_publication.xsd\">\n          <dataObjects>\n            <ServiceCalendarFrame version=\"any\" id=\"LIO:ServiceCalendarFrame:0:LOC\">\n              <TypeOfFrameRef ref=\"FR:TypeOfFrame:NETEX_CALENDRIER:\"/>\n              <dayTypes>\n                <DayType version=\"any\" id=\"LIO:DayType:6e68183c42604e2d0f67\">\n                  <ValidBetween>\n                    <FromDate>2025-11-03T00:00:00</FromDate>\n                    <ToDate>2025-11-15T00:00:00</ToDate>\n                  </ValidBetween>\n                  <Name>2025-11-03 → 2025-11-15</Name>\n                </DayType>\n                <DayType version=\"any\" id=\"LIO:DayType:5d21656b7c1e4d2b0557\">\n                  <ValidBetween>\n                    <FromDate>2025-11-21T00:00:00</FromDate>\n                    <ToDate>2025-11-28T00:00:00</ToDate>\n                  </ValidBetween>\n                  <Name>2025-11-21 → 2025-11-28</Name>\n                </DayType>\n              </dayTypes>\n            </ServiceCalendarFrame>\n          </dataObjects>\n        </PublicationDelivery>\n      \"\"\"\n\n      ZipCreator.with_tmp_zip([{\"resource.xml\", service_calendar_content}] |> in_sub_directory(), fn filepath ->\n        assert %{\n                 \"start_date\" => \"2025-11-03\",\n                 \"end_date\" => \"2025-11-28\",\n                 \"networks\" => [],\n                 \"modes\" => [],\n                 \"stats\" => %{\n                   \"lines_count\" => 0,\n                   \"quays_count\" => 0,\n                   \"stop_places_count\" => 0\n                 },\n                 \"features\" => %{\n                   \"networks\" => false,\n                   \"stops\" => false,\n                   \"timetables\" => false,\n                   \"fares\" => false,\n                   \"parkings\" => false,\n                   \"accessibility\" => false\n                 }\n               } ==\n                 MetadataExtractor.extract(filepath)\n      end)\n    end\n  end\n\n  describe \"networks\" do\n    test \"standard use case\" do\n      multiple_networks = \"\"\"\n        <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" version=\"1.04:FR1-NETEX-1.6-1.8\">\n          <PublicationTimestamp>2026-02-02T15:45:04Z</PublicationTimestamp>\n          <ParticipantRef>FR1_OFFRE</ParticipantRef>\n          <dataObjects>\n            <GeneralFrame id=\"FR:GeneralFrame:NETEX_COMMUN:LOC\" version=\"1.09:FR-NETEX-2.1-1.0\">\n              <members>\n                <Network>\n                  <Name>Réseau Urbain</Name>\n                </Network>\n                <Network>\n                  <Name>Réseau Régional</Name>\n                </Network>\n                <Line>\n                  <TransportMode>bus</TransportMode>\n                </Line>\n                <Line>\n                  <TransportMode>ferry</TransportMode>\n                </Line>\n                <Line>\n                  <TransportMode>bus</TransportMode>\n                </Line>\n              </members>\n            </GeneralFrame>\n          </dataObjects>\n        </PublicationDelivery>\n      \"\"\"\n\n      ZipCreator.with_tmp_zip([{\"network.xml\", multiple_networks}] |> in_sub_directory(), fn filepath ->\n        assert %{\n                 \"no_validity_dates\" => true,\n                 \"networks\" => [\"Réseau Urbain\", \"Réseau Régional\"],\n                 \"modes\" => [\"bus\", \"ferry\"],\n                 \"stats\" => %{\n                   \"lines_count\" => 3,\n                   \"quays_count\" => 0,\n                   \"stop_places_count\" => 0\n                 },\n                 \"features\" => %{\n                   \"networks\" => true,\n                   \"stops\" => false,\n                   \"timetables\" => false,\n                   \"fares\" => false,\n                   \"parkings\" => false,\n                   \"accessibility\" => false\n                 }\n               } ==\n                 MetadataExtractor.extract(filepath)\n      end)\n    end\n  end\n\n  test \"statistics\" do\n    network = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" version=\"1.04:FR1-NETEX-1.6-1.8\">\n        <dataObjects>\n          <GeneralFrame>\n            <Line id=\"FR:Line:LineA:\" version=\"any\">\n            </Line>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    stops = \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" version=\"1.04:FR1-NETEX-1.6-1.8\">\n        <dataObjects>\n          <GeneralFrame>\n            <Quay id=\"FR:Quay:Quay1:\" version=\"any\">\n            </Quay>\n            <Quay id=\"FR:Quay:Quay2:\" version=\"any\">\n            </Quay>\n            <Quay id=\"FR:Quay:Quay3:\" version=\"any\">\n            </Quay>\n            <StopPlace id=\"FR:StopPlace:StopPlace1:\" version=\"any\">\n            </StopPlace>\n            <StopPlace id=\"FR:StopPlace:StopPlace2:\" version=\"any\">\n            </StopPlace>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n\n    ZipCreator.with_tmp_zip(\n      [{\"network.xml\", network}, {\"stops.xml\", stops}] |> in_sub_directory(),\n      fn filepath ->\n        assert %{\n                 \"no_validity_dates\" => true,\n                 \"networks\" => [],\n                 \"modes\" => [],\n                 \"stats\" => %{\n                   \"lines_count\" => 1,\n                   \"quays_count\" => 3,\n                   \"stop_places_count\" => 2\n                 },\n                 \"features\" => %{\n                   \"networks\" => true,\n                   \"stops\" => true,\n                   \"timetables\" => false,\n                   \"fares\" => false,\n                   \"parkings\" => false,\n                   \"accessibility\" => false\n                 }\n               } ==\n                 MetadataExtractor.extract(filepath)\n      end\n    )\n  end\n\n  defp in_sub_directory(filespecs) do\n    [{\"directory/\", \"\"}] ++\n      Enum.map(filespecs, fn {filename, content} -> {Path.join(\"directory\", filename), content} end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/netex/results_adapters/commons_test.exs",
    "content": "defmodule Transport.Validators.NeTEx.ResultsAdapters.CommonsTest do\n  use ExUnit.Case, async: true\n  alias Transport.Validators.NeTEx.ResultsAdapters.Commons\n  require Explorer.DataFrame, as: DF\n\n  @xsd %{\n    \"code\" => \"xsd-123\",\n    \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n    \"criticity\" => \"error\",\n    \"resource\" => %{\n      \"line\" => 1,\n      \"filename\" => \"stops.xml\"\n    }\n  }\n\n  @rule %{\n    \"code\" => \"valid-day-bits\",\n    \"message\" => \"Mandatory attribute valid_day_bits not found\",\n    \"criticity\" => \"error\"\n  }\n\n  @errors [@xsd, @rule]\n\n  test \"dataframe building\" do\n    assert [\n             %{\n               \"code\" => \"xsd-123\",\n               \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n               \"criticity\" => \"error\",\n               \"resource.class\" => nil,\n               \"resource.column\" => nil,\n               \"resource.filename\" => \"stops.xml\",\n               \"resource.id\" => nil,\n               \"resource.line\" => 1\n             },\n             %{\n               \"code\" => \"valid-day-bits\",\n               \"message\" => \"Mandatory attribute valid_day_bits not found\",\n               \"criticity\" => \"error\",\n               \"resource.class\" => nil,\n               \"resource.column\" => nil,\n               \"resource.filename\" => nil,\n               \"resource.id\" => nil,\n               \"resource.line\" => nil\n             }\n           ] == example() |> DF.to_rows()\n  end\n\n  test \"serialisation roundtrip\" do\n    df = example()\n    assert df |> DF.to_rows() == df |> Commons.to_binary() |> Commons.from_binary() |> DF.to_rows()\n  end\n\n  def example do\n    Commons.to_dataframe(@errors, fn _ -> %{} end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/netex/results_adapters/v0_1_0_test.exs",
    "content": "defmodule Transport.Validators.NeTEx.ResultsAdapters.V0_1_0Test do\n  use ExUnit.Case, async: true\n  doctest Transport.Validators.NeTEx.ResultsAdapters.V0_1_0, import: true\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_1_0\n  import TransportWeb.PaginationHelpers, only: [make_pagination_config: 1]\n\n  @xsd %{\n    \"code\" => \"xsd-123\",\n    \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n    \"criticity\" => \"error\"\n  }\n  @rule %{\n    \"code\" => \"valid-day-bits\",\n    \"message\" => \"Mandatory attribute valid_day_bits not found\",\n    \"criticity\" => \"error\"\n  }\n\n  test \"get_issues from binary, with errors\" do\n    pagination_config = make_pagination_config(%{})\n\n    binary_result =\n      result_factory(\"xsd-123\": 41, \"valid-day-bits\": 41)\n      |> V0_1_0.to_binary_result()\n\n    assert {%{\"issue_type\" => \"valid-day-bits\"}, {41, repeated(@rule, 20)}} ==\n             V0_1_0.get_issues(binary_result, %{}, pagination_config)\n\n    assert {%{\"issue_type\" => \"xsd-123\"}, {41, repeated(@xsd, 20)}} ==\n             V0_1_0.get_issues(binary_result, %{\"issue_type\" => \"xsd-123\"}, pagination_config)\n\n    assert {%{\"issue_type\" => \"valid-day-bits\"}, {41, repeated(@rule, 20)}} ==\n             V0_1_0.get_issues(binary_result, %{\"issue_type\" => \"valid-day-bits\"}, pagination_config)\n\n    pagination_config = make_pagination_config(%{\"page\" => \"3\"})\n\n    assert {%{\"issue_type\" => \"valid-day-bits\"}, {41, repeated(@rule, 1)}} ==\n             V0_1_0.get_issues(binary_result, %{}, pagination_config)\n\n    assert {%{\"issue_type\" => \"xsd-123\"}, {41, repeated(@xsd, 1)}} ==\n             V0_1_0.get_issues(binary_result, %{\"issue_type\" => \"xsd-123\"}, pagination_config)\n\n    assert {%{\"issue_type\" => \"valid-day-bits\"}, {41, repeated(@rule, 1)}} ==\n             V0_1_0.get_issues(binary_result, %{\"issue_type\" => \"valid-day-bits\"}, pagination_config)\n  end\n\n  test \"get_issues from binary, no error\" do\n    pagination_config = make_pagination_config(%{})\n\n    binary_result =\n      result_factory(\"xsd-123\": 0, \"valid-day-bits\": 0)\n      |> V0_1_0.to_binary_result()\n\n    assert {%{\"issue_type\" => \"\"}, {0, repeated(@rule, 0)}} ==\n             V0_1_0.get_issues(binary_result, %{}, pagination_config)\n\n    assert {%{\"issue_type\" => \"xsd-123\"}, {0, repeated(@xsd, 0)}} ==\n             V0_1_0.get_issues(binary_result, %{\"issue_type\" => \"xsd-123\"}, pagination_config)\n\n    assert {%{\"issue_type\" => \"valid-day-bits\"}, {0, repeated(@rule, 0)}} ==\n             V0_1_0.get_issues(binary_result, %{\"issue_type\" => \"valid-day-bits\"}, pagination_config)\n\n    pagination_config = make_pagination_config(%{\"page\" => \"3\"})\n\n    assert {%{\"issue_type\" => \"\"}, {0, repeated(@rule, 0)}} ==\n             V0_1_0.get_issues(binary_result, %{}, pagination_config)\n\n    assert {%{\"issue_type\" => \"xsd-123\"}, {0, repeated(@xsd, 0)}} ==\n             V0_1_0.get_issues(binary_result, %{\"issue_type\" => \"xsd-123\"}, pagination_config)\n\n    assert {%{\"issue_type\" => \"valid-day-bits\"}, {0, repeated(@rule, 0)}} ==\n             V0_1_0.get_issues(binary_result, %{\"issue_type\" => \"valid-day-bits\"}, pagination_config)\n  end\n\n  defp result_factory(counts) do\n    counts\n    |> Enum.map(fn {category, count} ->\n      {Atom.to_string(category), error_factory(category, count)}\n    end)\n    |> Map.new()\n  end\n\n  defp error_factory(:\"xsd-123\", count), do: repeated(@xsd, count)\n  defp error_factory(:\"valid-day-bits\", count), do: repeated(@rule, count)\n  defp error_factory(_, _), do: []\n\n  defp repeated(item, times) do\n    [item]\n    |> Stream.cycle()\n    |> Enum.take(times)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/netex/results_adapters/v0_2_0_test.exs",
    "content": "defmodule Transport.Validators.NeTEx.ResultsAdapters.V0_2_0Test do\n  use ExUnit.Case, async: true\n  doctest Transport.Validators.NeTEx.ResultsAdapters.V0_2_0, import: true\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_0\n  import TransportWeb.PaginationHelpers, only: [make_pagination_config: 1]\n\n  @xsd %{\n    \"code\" => \"xsd-123\",\n    \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n    \"criticity\" => \"error\"\n  }\n  @rule %{\n    \"code\" => \"valid-day-bits\",\n    \"message\" => \"Mandatory attribute valid_day_bits not found\",\n    \"criticity\" => \"error\"\n  }\n\n  test \"get_issues from binary, with errors\" do\n    pagination_config = make_pagination_config(%{})\n\n    binary_result =\n      result_factory(\"base-rules\": 41, \"xsd-schema\": 41)\n      |> V0_2_0.to_binary_result()\n\n    assert {%{\"issues_category\" => \"xsd-schema\"}, {41, repeated(@xsd, 20)}} ==\n             V0_2_0.get_issues(binary_result, %{}, pagination_config)\n\n    assert {%{\"issues_category\" => \"xsd-schema\"}, {41, repeated(@xsd, 20)}} ==\n             V0_2_0.get_issues(binary_result, %{\"issues_category\" => \"xsd-schema\"}, pagination_config)\n\n    assert {%{\"issues_category\" => \"base-rules\"}, {41, repeated(@rule, 20)}} ==\n             V0_2_0.get_issues(binary_result, %{\"issues_category\" => \"base-rules\"}, pagination_config)\n\n    pagination_config = make_pagination_config(%{\"page\" => \"3\"})\n\n    assert {%{\"issues_category\" => \"xsd-schema\"}, {41, repeated(@xsd, 1)}} ==\n             V0_2_0.get_issues(binary_result, %{}, pagination_config)\n\n    assert {%{\"issues_category\" => \"xsd-schema\"}, {41, repeated(@xsd, 1)}} ==\n             V0_2_0.get_issues(binary_result, %{\"issues_category\" => \"xsd-schema\"}, pagination_config)\n\n    assert {%{\"issues_category\" => \"base-rules\"}, {41, repeated(@rule, 1)}} ==\n             V0_2_0.get_issues(binary_result, %{\"issues_category\" => \"base-rules\"}, pagination_config)\n  end\n\n  test \"get_issues from binary, no error\" do\n    pagination_config = make_pagination_config(%{})\n\n    binary_result =\n      result_factory(\"base-rules\": 0, \"xsd-schema\": 0)\n      |> V0_2_0.to_binary_result()\n\n    assert {%{\"issues_category\" => \"xsd-schema\"}, {0, repeated(@xsd, 0)}} ==\n             V0_2_0.get_issues(binary_result, %{}, pagination_config)\n\n    assert {%{\"issues_category\" => \"xsd-schema\"}, {0, repeated(@xsd, 0)}} ==\n             V0_2_0.get_issues(binary_result, %{\"issues_category\" => \"xsd-schema\"}, pagination_config)\n\n    assert {%{\"issues_category\" => \"base-rules\"}, {0, repeated(@rule, 0)}} ==\n             V0_2_0.get_issues(binary_result, %{\"issues_category\" => \"base-rules\"}, pagination_config)\n\n    pagination_config = make_pagination_config(%{\"page\" => \"3\"})\n\n    assert {%{\"issues_category\" => \"xsd-schema\"}, {0, repeated(@xsd, 0)}} ==\n             V0_2_0.get_issues(binary_result, %{}, pagination_config)\n\n    assert {%{\"issues_category\" => \"xsd-schema\"}, {0, repeated(@xsd, 0)}} ==\n             V0_2_0.get_issues(binary_result, %{\"issues_category\" => \"xsd-schema\"}, pagination_config)\n\n    assert {%{\"issues_category\" => \"base-rules\"}, {0, repeated(@rule, 0)}} ==\n             V0_2_0.get_issues(binary_result, %{\"issues_category\" => \"base-rules\"}, pagination_config)\n  end\n\n  defp result_factory(counts) do\n    counts\n    |> Enum.map(fn {category, count} ->\n      {Atom.to_string(category), error_factory(category, count)}\n    end)\n    |> Map.new()\n  end\n\n  defp error_factory(:\"xsd-schema\", count), do: repeated(@xsd, count)\n  defp error_factory(:\"base-rules\", count), do: repeated(@rule, count)\n  defp error_factory(_, _), do: []\n\n  defp repeated(item, times) do\n    [item]\n    |> Stream.cycle()\n    |> Enum.take(times)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/netex/results_adapters/v0_2_1_test.exs",
    "content": "defmodule Transport.Validators.NeTEx.ResultsAdapters.V0_2_1Test do\n  use ExUnit.Case, async: true\n  doctest Transport.Validators.NeTEx.ResultsAdapters.V0_2_1, import: true\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_1\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_2\n  import TransportWeb.PaginationHelpers, only: [make_pagination_config: 1]\n\n  @xsd %{\n    \"code\" => \"xsd-123\",\n    \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n    \"criticity\" => \"error\"\n  }\n  @rule %{\n    \"code\" => \"valid-day-bits\",\n    \"message\" => \"Mandatory attribute valid_day_bits not found\",\n    \"criticity\" => \"error\"\n  }\n\n  test \"get_issues from binary, with errors\" do\n    pagination_config = make_pagination_config(%{})\n\n    for module <- [V0_2_1, V0_2_2] do\n      binary_result =\n        result_factory(\"base-rules\": 41, \"xsd-schema\": 41)\n        |> module.to_binary_result()\n\n      assert {%{\"issues_category\" => \"xsd-schema\"}, {41, repeated(@xsd, 20)}} ==\n               module.get_issues(binary_result, %{}, pagination_config)\n\n      assert {%{\"issues_category\" => \"xsd-schema\"}, {41, repeated(@xsd, 20)}} ==\n               module.get_issues(binary_result, %{\"issues_category\" => \"xsd-schema\"}, pagination_config)\n\n      assert {%{\"issues_category\" => \"base-rules\"}, {41, repeated(@rule, 20)}} ==\n               module.get_issues(binary_result, %{\"issues_category\" => \"base-rules\"}, pagination_config)\n\n      pagination_config = make_pagination_config(%{\"page\" => \"3\"})\n\n      assert {%{\"issues_category\" => \"xsd-schema\"}, {41, repeated(@xsd, 1)}} ==\n               module.get_issues(binary_result, %{}, pagination_config)\n\n      assert {%{\"issues_category\" => \"xsd-schema\"}, {41, repeated(@xsd, 1)}} ==\n               module.get_issues(binary_result, %{\"issues_category\" => \"xsd-schema\"}, pagination_config)\n\n      assert {%{\"issues_category\" => \"base-rules\"}, {41, repeated(@rule, 1)}} ==\n               module.get_issues(binary_result, %{\"issues_category\" => \"base-rules\"}, pagination_config)\n    end\n  end\n\n  test \"get_issues from binary, no error\" do\n    for module <- [V0_2_1, V0_2_2] do\n      pagination_config = make_pagination_config(%{})\n\n      binary_result =\n        result_factory(\"base-rules\": 0, \"xsd-schema\": 0)\n        |> module.to_binary_result()\n\n      assert {%{\"issues_category\" => \"xsd-schema\"}, {0, repeated(@xsd, 0)}} ==\n               module.get_issues(binary_result, %{}, pagination_config)\n\n      assert {%{\"issues_category\" => \"xsd-schema\"}, {0, repeated(@xsd, 0)}} ==\n               module.get_issues(binary_result, %{\"issues_category\" => \"xsd-schema\"}, pagination_config)\n\n      assert {%{\"issues_category\" => \"base-rules\"}, {0, repeated(@rule, 0)}} ==\n               module.get_issues(binary_result, %{\"issues_category\" => \"base-rules\"}, pagination_config)\n\n      pagination_config = make_pagination_config(%{\"page\" => \"3\"})\n\n      assert {%{\"issues_category\" => \"xsd-schema\"}, {0, repeated(@xsd, 0)}} ==\n               module.get_issues(binary_result, %{}, pagination_config)\n\n      assert {%{\"issues_category\" => \"xsd-schema\"}, {0, repeated(@xsd, 0)}} ==\n               module.get_issues(binary_result, %{\"issues_category\" => \"xsd-schema\"}, pagination_config)\n\n      assert {%{\"issues_category\" => \"base-rules\"}, {0, repeated(@rule, 0)}} ==\n               module.get_issues(binary_result, %{\"issues_category\" => \"base-rules\"}, pagination_config)\n    end\n  end\n\n  defp result_factory(counts) do\n    counts\n    |> Enum.map(fn {category, count} ->\n      {Atom.to_string(category), error_factory(category, count)}\n    end)\n    |> Map.new()\n  end\n\n  defp error_factory(:\"xsd-schema\", count), do: repeated(@xsd, count)\n  defp error_factory(:\"base-rules\", count), do: repeated(@rule, count)\n  defp error_factory(_, _), do: []\n\n  defp repeated(item, times) do\n    [item]\n    |> Stream.cycle()\n    |> Enum.take(times)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/netex/validator_test.exs",
    "content": "defmodule Transport.Validators.NeTEx.ValidatorTest do\n  use ExUnit.Case, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Mox\n  import Transport.Test.EnRouteChouetteValidClientHelpers\n\n  alias Transport.Validators.NeTEx.ResultsAdapters.V0_2_2, as: ResultsAdapter\n  alias Transport.Validators.NeTEx.Validator\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  @sample_error_messages [\n    %{\n      \"code\" => \"xsd-1871\",\n      \"criticity\" => \"error\",\n      \"message\" =>\n        \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\"\n    },\n    %{\n      \"code\" => \"uic-operating-period\",\n      \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n      \"criticity\" => \"error\"\n    },\n    %{\n      \"code\" => \"valid-day-bits\",\n      \"message\" => \"Mandatory attribute valid_day_bits not found\",\n      \"criticity\" => \"error\"\n    },\n    %{\n      \"code\" => \"frame-arret-resources\",\n      \"message\" => \"Tag frame_id doesn't match ''\",\n      \"criticity\" => \"warning\"\n    },\n    %{\n      \"message\" => \"Reference MOBIITI:Quay:104325 doesn't match any existing Resource\",\n      \"criticity\" => \"error\"\n    }\n  ]\n\n  describe \"existing resource\" do\n    test \"valid NeTEx\" do\n      start_date = \"2025-11-03\"\n      end_date = \"2025-11-15\"\n      network = \"Réseau Urbain\"\n\n      lines = [\n        mk_line(\"A\", \"bus\"),\n        mk_line(\"B\", \"bus\"),\n        mk_line(\"F1\", \"ferry\"),\n        mk_line(\"F2\", \"ferry\")\n      ]\n\n      modes = lines |> modes()\n\n      resource_history = mk_netex_resource_with_calendar(start_date, end_date, network, lines)\n\n      validation_id =\n        expect_create_validation(ResultsAdapter.french_profile().slug()) |> expect_successful_validation(12)\n\n      assert :ok == Validator.validate_and_save(resource_history)\n\n      multi_validation = load_multi_validation(resource_history.id)\n\n      assert multi_validation.command == \"http://localhost:9999/chouette-valid/#{validation_id}\"\n      assert multi_validation.validator == \"enroute-chouette-netex-validator\"\n      assert multi_validation.validator_version == \"0.2.1\"\n      assert multi_validation.result == nil\n      assert multi_validation.digest == ResultsAdapter.digest(%{})\n      assert multi_validation.binary_result == ResultsAdapter.to_binary_result(%{})\n\n      assert multi_validation.metadata.metadata == %{\n               \"retries\" => 0,\n               \"elapsed_seconds\" => 12,\n               \"start_date\" => start_date,\n               \"end_date\" => end_date,\n               \"networks\" => [network],\n               \"modes\" => modes,\n               \"stats\" => %{\n                 \"lines_count\" => length(lines),\n                 \"quays_count\" => 0,\n                 \"stop_places_count\" => 0\n               },\n               \"features\" => %{\n                 \"networks\" => true,\n                 \"stops\" => false,\n                 \"timetables\" => false,\n                 \"fares\" => false,\n                 \"parkings\" => false,\n                 \"accessibility\" => false\n               }\n             }\n\n      assert multi_validation.metadata.modes == modes\n      assert multi_validation.metadata.features == [\"networks\"]\n    end\n\n    test \"pending validation\" do\n      start_date = \"2025-11-03\"\n      end_date = \"2025-11-15\"\n      network = \"Réseau Urbain\"\n\n      lines = [\n        mk_line(\"A\", \"bus\"),\n        mk_line(\"B\", \"bus\"),\n        mk_line(\"F1\", \"ferry\"),\n        mk_line(\"F2\", \"ferry\")\n      ]\n\n      modes = lines |> modes()\n\n      resource_history = mk_netex_resource_with_calendar(start_date, end_date, network, lines)\n\n      validation_id = expect_create_validation(ResultsAdapter.french_profile().slug()) |> expect_pending_validation()\n\n      assert :ok == Validator.validate_and_save(resource_history)\n\n      assert_enqueued(\n        worker: Transport.Jobs.NeTExPollerJob,\n        args: %{\n          \"validation_id\" => validation_id,\n          \"resource_history_id\" => resource_history.id,\n          \"metadata\" => %{\n            \"start_date\" => start_date,\n            \"end_date\" => end_date,\n            \"networks\" => [network],\n            \"modes\" => modes,\n            \"stats\" => %{\n              \"lines_count\" => length(lines),\n              \"quays_count\" => 0,\n              \"stop_places_count\" => 0\n            },\n            \"features\" => %{\n              \"networks\" => true,\n              \"stops\" => false,\n              \"timetables\" => false,\n              \"fares\" => false,\n              \"parkings\" => false,\n              \"accessibility\" => false\n            }\n          }\n        }\n      )\n\n      assert nil == load_multi_validation(resource_history.id)\n    end\n\n    test \"invalid NeTEx\" do\n      start_date = \"2025-11-03\"\n      end_date = \"2025-11-15\"\n      network = \"Réseau Urbain\"\n\n      lines = [\n        mk_line(\"A\", \"bus\"),\n        mk_line(\"B\", \"bus\"),\n        mk_line(\"F1\", \"ferry\"),\n        mk_line(\"F2\", \"ferry\")\n      ]\n\n      modes = lines |> modes()\n\n      resource_history = mk_netex_resource_with_calendar(start_date, end_date, network, lines)\n\n      validation_id = expect_create_validation(ResultsAdapter.french_profile().slug()) |> expect_failed_validation(31)\n\n      expect_get_messages(validation_id, @sample_error_messages)\n\n      assert :ok == Validator.validate_and_save(resource_history)\n\n      multi_validation = load_multi_validation(resource_history.id)\n\n      assert multi_validation.command == \"http://localhost:9999/chouette-valid/#{validation_id}/messages\"\n      assert multi_validation.validator == \"enroute-chouette-netex-validator\"\n      assert multi_validation.validator_version == \"0.2.1\"\n\n      assert multi_validation.metadata.metadata == %{\n               \"retries\" => 0,\n               \"elapsed_seconds\" => 31,\n               \"start_date\" => start_date,\n               \"end_date\" => end_date,\n               \"networks\" => [network],\n               \"modes\" => modes,\n               \"stats\" => %{\n                 \"lines_count\" => length(lines),\n                 \"quays_count\" => 0,\n                 \"stop_places_count\" => 0\n               },\n               \"features\" => %{\n                 \"networks\" => true,\n                 \"stops\" => false,\n                 \"timetables\" => false,\n                 \"fares\" => false,\n                 \"parkings\" => false,\n                 \"accessibility\" => false\n               }\n             }\n\n      assert multi_validation.metadata.modes == modes\n      assert multi_validation.metadata.features == [\"networks\"]\n\n      result = %{\n        \"xsd-schema\" => [\n          %{\n            \"code\" => \"xsd-1871\",\n            \"criticity\" => \"error\",\n            \"message\" =>\n              \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\"\n          }\n        ],\n        \"base-rules\" => [\n          %{\n            \"code\" => \"uic-operating-period\",\n            \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n            \"criticity\" => \"error\"\n          },\n          %{\n            \"code\" => \"valid-day-bits\",\n            \"message\" => \"Mandatory attribute valid_day_bits not found\",\n            \"criticity\" => \"error\"\n          },\n          %{\n            \"code\" => \"frame-arret-resources\",\n            \"message\" => \"Tag frame_id doesn't match ''\",\n            \"criticity\" => \"warning\"\n          },\n          %{\n            \"message\" => \"Reference MOBIITI:Quay:104325 doesn't match any existing Resource\",\n            \"criticity\" => \"error\"\n          }\n        ]\n      }\n\n      assert multi_validation.result == nil\n\n      assert multi_validation.digest == ResultsAdapter.digest(result)\n      assert multi_validation.binary_result == ResultsAdapter.to_binary_result(result)\n    end\n\n    defp load_multi_validation(resource_history_id) do\n      DB.MultiValidation.base_query(include_binary_result: true)\n      |> DB.Repo.get_by(resource_history_id: resource_history_id)\n      |> DB.Repo.preload(:metadata)\n    end\n  end\n\n  describe \"raw URL\" do\n    test \"valid NeTEx\" do\n      start_date = \"2025-11-03\"\n      end_date = \"2025-11-15\"\n      network = \"Réseau Urbain\"\n\n      lines = [\n        mk_line(\"A\", \"bus\"),\n        mk_line(\"B\", \"bus\"),\n        mk_line(\"F1\", \"ferry\"),\n        mk_line(\"F2\", \"ferry\")\n      ]\n\n      modes = lines |> modes()\n\n      resource_url = mk_netex(start_date, end_date, network, lines)\n\n      expect_create_validation(ResultsAdapter.french_profile().slug()) |> expect_successful_validation(9)\n\n      assert {:ok,\n              %{\n                \"validations\" => %{},\n                \"metadata\" => %{\n                  :retries => 0,\n                  :elapsed_seconds => 9,\n                  \"start_date\" => start_date,\n                  \"end_date\" => end_date,\n                  \"networks\" => [network],\n                  \"modes\" => modes,\n                  \"stats\" => %{\n                    \"lines_count\" => length(lines),\n                    \"quays_count\" => 0,\n                    \"stop_places_count\" => 0\n                  },\n                  \"features\" => %{\n                    \"networks\" => true,\n                    \"stops\" => false,\n                    \"timetables\" => false,\n                    \"fares\" => false,\n                    \"parkings\" => false,\n                    \"accessibility\" => false\n                  }\n                }\n              }} ==\n               Validator.validate(resource_url)\n    end\n\n    test \"invalid NeTEx\" do\n      start_date = \"2025-11-03\"\n      end_date = \"2025-11-15\"\n      network = \"Réseau Urbain\"\n\n      lines = [\n        mk_line(\"A\", \"bus\"),\n        mk_line(\"B\", \"bus\"),\n        mk_line(\"F1\", \"ferry\"),\n        mk_line(\"F2\", \"ferry\")\n      ]\n\n      modes = lines |> modes()\n\n      resource_url = mk_netex(start_date, end_date, network, lines)\n\n      validation_id = expect_create_validation(ResultsAdapter.french_profile().slug()) |> expect_failed_validation(25)\n\n      expect_get_messages(validation_id, @sample_error_messages)\n\n      validation_result = %{\n        \"xsd-schema\" => [\n          %{\n            \"code\" => \"xsd-1871\",\n            \"criticity\" => \"error\",\n            \"message\" =>\n              \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\"\n          }\n        ],\n        \"base-rules\" => [\n          %{\n            \"code\" => \"uic-operating-period\",\n            \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n            \"criticity\" => \"error\"\n          },\n          %{\n            \"code\" => \"valid-day-bits\",\n            \"message\" => \"Mandatory attribute valid_day_bits not found\",\n            \"criticity\" => \"error\"\n          },\n          %{\n            \"code\" => \"frame-arret-resources\",\n            \"message\" => \"Tag frame_id doesn't match ''\",\n            \"criticity\" => \"warning\"\n          },\n          %{\n            \"message\" => \"Reference MOBIITI:Quay:104325 doesn't match any existing Resource\",\n            \"criticity\" => \"error\"\n          }\n        ]\n      }\n\n      assert {:ok,\n              %{\n                \"validations\" => validation_result,\n                \"metadata\" => %{\n                  :retries => 0,\n                  :elapsed_seconds => 25,\n                  \"start_date\" => start_date,\n                  \"end_date\" => end_date,\n                  \"networks\" => [network],\n                  \"modes\" => modes,\n                  \"stats\" => %{\n                    \"lines_count\" => length(lines),\n                    \"quays_count\" => 0,\n                    \"stop_places_count\" => 0\n                  },\n                  \"features\" => %{\n                    \"networks\" => true,\n                    \"stops\" => false,\n                    \"timetables\" => false,\n                    \"fares\" => false,\n                    \"parkings\" => false,\n                    \"accessibility\" => false\n                  }\n                }\n              }} ==\n               Validator.validate(resource_url)\n    end\n\n    test \"pending\" do\n      start_date = \"2025-11-03\"\n      end_date = \"2025-11-15\"\n      network = \"Réseau Urbain\"\n\n      lines = [\n        mk_line(\"A\", \"bus\"),\n        mk_line(\"B\", \"bus\"),\n        mk_line(\"F1\", \"ferry\"),\n        mk_line(\"F2\", \"ferry\")\n      ]\n\n      modes = lines |> modes()\n\n      metadata = %{\n        \"start_date\" => start_date,\n        \"end_date\" => end_date,\n        \"networks\" => [network],\n        \"modes\" => modes,\n        \"stats\" => %{\n          \"lines_count\" => length(lines),\n          \"quays_count\" => 0,\n          \"stop_places_count\" => 0\n        },\n        \"features\" => %{\n          \"networks\" => true,\n          \"stops\" => false,\n          \"timetables\" => false,\n          \"fares\" => false,\n          \"parkings\" => false,\n          \"accessibility\" => false\n        }\n      }\n\n      resource_url = mk_netex(start_date, end_date, network, lines)\n\n      validation_id = expect_create_validation(ResultsAdapter.french_profile().slug()) |> expect_pending_validation()\n\n      assert {:pending, {validation_id, metadata}} == Validator.validate(resource_url)\n    end\n  end\n\n  defp mk_line(public_code, mode) do\n    %{\n      id: \"RESEAU_URBAIN:Line:#{public_code}\",\n      short_name: \"Ligne #{public_code}\",\n      public_code: public_code,\n      mode: mode\n    }\n  end\n\n  defp modes(lines) do\n    lines |> Enum.map(& &1.mode) |> MapSet.new() |> MapSet.to_list()\n  end\n\n  defp mk_netex_resource_with_calendar(start_date, end_date, network, lines) do\n    dataset = insert(:dataset)\n\n    resource = insert(:resource, dataset_id: dataset.id, format: \"NeTEx\")\n\n    insert(:resource_history,\n      resource_id: resource.id,\n      payload: %{\"permanent_url\" => mk_netex(start_date, end_date, network, lines)}\n    )\n  end\n\n  defp mk_netex(start_date, end_date, network, lines),\n    do:\n      mk_raw_netex_resource([\n        {\"resource.xml\", calendar_content(start_date, end_date)},\n        {\"network.xml\", network_content(network, lines)}\n      ])\n\n  defp mk_raw_netex_resource(content) do\n    resource_url = generate_resource_url()\n\n    expect(Transport.Req.Mock, :get!, 1, fn ^resource_url, [{:compressed, false}, {:into, into}] ->\n      content = zip_file(into.path, content)\n\n      {:ok, %Req.Response{status: 200, body: %{\"data\" => content}}}\n    end)\n\n    resource_url\n  end\n\n  defp zip_file(path, content) do\n    ZipCreator.create!(path, content)\n    File.read!(path)\n  end\n\n  defp generate_resource_url do\n    \"http://localhost:9999/netex-#{Ecto.UUID.generate()}.zip\"\n  end\n\n  defp calendar_content(start_date, end_date) do\n    \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" xmlns:gis=\"http://www.opengis.net/gml/3.2\" xmlns:siri=\"http://www.siri.org.uk/siri\" version=\"1.1:FR-NETEX_CALENDRIER-2.2\">\n        <PublicationTimestamp>2025-07-29T09:34:55Z</PublicationTimestamp>\n        <ParticipantRef>DIGO</ParticipantRef>\n        <dataObjects>\n          <GeneralFrame version=\"any\" id=\"DIGO:GeneralFrame:NETEX_CALENDRIER-20250729093455Z:LOC\">\n            <ValidBetween>\n              <FromDate>#{start_date}T00:00:00</FromDate>\n              <ToDate>#{end_date}T23:59:59</ToDate>\n            </ValidBetween>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n  end\n\n  defp network_content(network_name, lines) do\n    line_refs =\n      Enum.map(lines, fn line ->\n        \"\"\"\n          <LineRef ref=\"#{line.id}\" />\n        \"\"\"\n      end)\n\n    network =\n      \"\"\"\n        <Network>\n          <Name>#{network_name}</Name>\n          <members>\n            #{line_refs}\n          </members>\n        </Network>\n      \"\"\"\n\n    lines =\n      Enum.map(lines, fn line ->\n        \"\"\"\n          <Line version=\"any\" id=\"#{line.id}\">\n            <ShortName>#{line.short_name}</ShortName>\n            <PublicCode>#{line.public_code}</PublicCode>\n            <TransportMode>#{line.mode}</TransportMode>\n          </Line>\n        \"\"\"\n      end)\n\n    \"\"\"\n      <PublicationDelivery xmlns=\"http://www.netex.org.uk/netex\" xmlns:gis=\"http://www.opengis.net/gml/3.2\" xmlns:siri=\"http://www.siri.org.uk/siri\" version=\"1.1:FR-NETEX_CALENDRIER-2.2\">\n        <PublicationTimestamp>2025-07-29T09:34:55Z</PublicationTimestamp>\n        <ParticipantRef>DIGO</ParticipantRef>\n        <dataObjects>\n          <GeneralFrame version=\"any\" id=\"DIGO:GeneralFrame:NETEX_CALENDRIER-20250729093455Z:LOC\">\n            <members>\n              #{network}\n              #{lines}\n            </members>\n          </GeneralFrame>\n        </dataObjects>\n      </PublicationDelivery>\n    \"\"\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/tableschema_validator_test.exs",
    "content": "defmodule Transport.Validators.TableSchemaTest do\n  use ExUnit.Case, async: false\n  import DB.Factory\n  import Mox\n  import Transport.Schemas, only: [schema_url: 2]\n  import Transport.Validators.TableSchema\n  alias Transport.Validators.TableSchema\n\n  @schema_name \"etalab/schema-lieux-covoiturage\"\n  @url \"https://example.com/file\"\n\n  doctest Transport.Validators.TableSchema, import: true\n\n  setup do\n    Mox.stub_with(Transport.Schemas.Mock, Transport.Schemas)\n    Cachex.clear(Transport.Application.cache_name())\n    on_exit(fn -> Cachex.clear(Transport.Application.cache_name()) end)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  test \"inserts the expected data in the database\" do\n    %{id: resource_history_id} =\n      resource_history =\n      insert(:resource_history,\n        payload: %{\n          \"permanent_url\" => permanent_url = \"https://example.com/permanent\",\n          \"schema_name\" => schema_name = \"etalab/schema-lieux-covoiturage\",\n          \"schema_version\" => schema_version = \"0.4.2\"\n        }\n      )\n\n    expected_command_url = setup_mock_validator_url(schema_name, permanent_url, schema_version)\n    validator_version = \"0.13.37\"\n\n    Transport.Validators.TableSchema.Mock\n    |> expect(:validate, fn ^schema_name, ^permanent_url, ^schema_version ->\n      %{\n        \"has_errors\" => false,\n        \"errors_count\" => 0,\n        \"errors\" => [],\n        \"validata_api_version\" => validator_version,\n        \"validator\" => \"OriginalValidatorName\"\n      }\n    end)\n\n    assert :ok == TableSchema.validate_and_save(resource_history)\n\n    assert %{\n             result: %{\"has_errors\" => false, \"errors_count\" => 0, \"errors\" => [], \"validation_performed\" => true},\n             digest: %{\"errors_count\" => 0},\n             resource_history_id: ^resource_history_id,\n             command: ^expected_command_url,\n             data_vis: nil,\n             validation_timestamp: _,\n             validator: \"validata-api\",\n             validator_version: ^validator_version\n           } = DB.MultiValidation.with_result() |> DB.Repo.get_by!(resource_history_id: resource_history_id)\n  end\n\n  test \"when validator returns nil\" do\n    %{id: resource_history_id} =\n      resource_history =\n      insert(:resource_history,\n        payload: %{\n          \"permanent_url\" => permanent_url = \"https://example.com/permanent\",\n          \"schema_name\" => schema_name = \"etalab/schema-lieux-covoiturage\",\n          \"schema_version\" => nil,\n          \"latest_schema_version_to_date\" => schema_version = \"0.4.2\"\n        }\n      )\n\n    expected_command_url = setup_mock_validator_url(schema_name, permanent_url, schema_version)\n\n    Transport.Validators.TableSchema.Mock\n    |> expect(:validate, fn ^schema_name, ^permanent_url, ^schema_version -> nil end)\n\n    assert :ok == TableSchema.validate_and_save(resource_history)\n\n    assert %{\n             result: %{\"validation_performed\" => false},\n             resource_history_id: ^resource_history_id,\n             command: ^expected_command_url,\n             data_vis: nil,\n             validation_timestamp: _,\n             validator: \"validata-api\",\n             validator_version: nil\n           } =\n             DB.MultiValidation.with_result()\n             |> DB.Repo.get_by!(resource_history_id: resource_history_id)\n  end\n\n  def setup_mock_validator_url(schema_name, url, schema_version) do\n    fake_url = \"https://example.com/\" <> Enum.join([schema_name, url, schema_version], \"/\")\n\n    Transport.Validators.TableSchema.Mock\n    |> expect(:validator_api_url, fn ^schema_name, ^url, ^schema_version -> fake_url end)\n\n    fake_url\n  end\n\n  describe \"validator_api_url\" do\n    test \"with a specific schema version\" do\n      setup_schemas_response()\n      schema_version = \"0.2.2\"\n      query = URI.encode_query(%{schema: schema_url(@schema_name, schema_version), url: @url, header_case: \"false\"})\n      expected_url = \"https://api.validata.etalab.studio/validate?#{query}\"\n\n      assert validator_api_url(@schema_name, @url, schema_version) == expected_url\n    end\n\n    test \"with latest version\" do\n      setup_schemas_response()\n      query = URI.encode_query(%{schema: schema_url(@schema_name, \"latest\"), url: @url, header_case: \"false\"})\n      expected_url = \"https://api.validata.etalab.studio/validate?#{query}\"\n\n      assert validator_api_url(@schema_name, @url) == expected_url\n    end\n  end\n\n  describe \"validate\" do\n    test \"ensures schema is a tableschema\" do\n      schema_name = \"foo\"\n\n      assert_raise RuntimeError, \"#{schema_name} is not a tableschema\", fn ->\n        setup_schemas_response()\n        validate(schema_name, @url)\n      end\n    end\n\n    test \"invalid object\" do\n      setup_schemas_response()\n      \"validata_with_errors.json\" |> setup_validata_response()\n\n      assert %{\n               \"errors\" => [\n                 \"La colonne obligatoire `contact_operateur` est manquante\",\n                 \"La colonne obligatoire `nom_enseigne` est manquante\",\n                 \"La colonne obligatoire `id_station_itinerance` est manquante\",\n                 \"La colonne obligatoire `nom_station` est manquante\",\n                 \"La colonne obligatoire `implantation_station` est manquante\",\n                 \"La colonne obligatoire `adresse_station` est manquante\",\n                 \"La colonne obligatoire `coordonneesXY` est manquante\",\n                 \"La colonne obligatoire `id_pdc_itinerance` est manquante\",\n                 \"La colonne obligatoire `puissance_nominale` est manquante\",\n                 \"La colonne obligatoire `prise_type_ef` est manquante\",\n                 \"La colonne obligatoire `prise_type_2` est manquante\",\n                 \"La colonne obligatoire `prise_type_combo_ccs` est manquante\",\n                 \"La colonne obligatoire `prise_type_chademo` est manquante\",\n                 \"La colonne obligatoire `prise_type_autre` est manquante\",\n                 \"La colonne obligatoire `paiement_acte` est manquante\",\n                 \"La colonne obligatoire `condition_acces` est manquante\",\n                 \"La colonne obligatoire `reservation` est manquante\",\n                 \"La colonne obligatoire `horaires` est manquante\",\n                 \"La colonne obligatoire `accessibilite_pmr` est manquante\",\n                 \"La colonne obligatoire `restriction_gabarit` est manquante\",\n                 \"La colonne obligatoire `station_deux_roues` est manquante\",\n                 \"La date doit être écrite sous la forme `aaaa-mm-jj` Colonne `date_maj`, ligne 2.\",\n                 \"La date doit être écrite sous la forme `aaaa-mm-jj` Colonne `date_maj`, ligne 3.\"\n               ],\n               \"errors_count\" => 23,\n               \"has_errors\" => true,\n               \"validata_api_version\" => \"0.12.0\",\n               \"validator\" => Transport.Validators.TableSchema\n             } == validate(@schema_name, @url)\n    end\n\n    test \"valid object\" do\n      setup_schemas_response()\n      \"validata_with_no_errors.json\" |> setup_validata_response()\n\n      assert %{\n               \"errors\" => [],\n               \"errors_count\" => 0,\n               \"has_errors\" => false,\n               \"validator\" => Transport.Validators.TableSchema,\n               \"validata_api_version\" => \"0.12.0\"\n             } == validate(@schema_name, @url)\n    end\n\n    test \"with a server error\" do\n      setup_schemas_response()\n      validata_response_with_body(\"error\", 500)\n      assert nil == validate(@schema_name, @url)\n    end\n\n    test \"with a file error\" do\n      setup_schemas_response()\n      \"validata_with_file_error.json\" |> setup_validata_response()\n\n      assert nil == validate(@schema_name, @url)\n    end\n\n    test \"with a custom check error\" do\n      setup_schemas_response()\n      \"validata_with_opening_hours_error.json\" |> setup_validata_response()\n\n      assert %{\n               \"errors\" => [\n                 \"La valeur 'lundi à dimanche' n'est pas une définition d'horaire d'ouverture correcte.\\n\\n Celle-ci doit respecter la spécification [OpenStreetMap](https://wiki.openstreetmap.org/wiki/Key:opening_hours) de description d'horaires d'ouverture. Colonne `horaires`, ligne 2.\"\n               ],\n               \"errors_count\" => 1,\n               \"has_errors\" => true,\n               \"validator\" => Transport.Validators.TableSchema,\n               \"validata_api_version\" => \"0.12.0\"\n             } == validate(@schema_name, @url)\n    end\n\n    test \"when the custom check is unknown and stats.errors is wrong\" do\n      setup_schemas_response()\n      \"validata_unknown_custom_check_error.json\" |> setup_validata_response()\n\n      assert %{\n               \"errors\" => [\n                 \"Tentative de définir le custom check 'french_gps_coordinates', qui n'est pas connu.\"\n               ],\n               \"errors_count\" => 1,\n               \"has_errors\" => true,\n               \"validator\" => Transport.Validators.TableSchema,\n               \"validata_api_version\" => \"0.12.0\"\n             } == validate(@schema_name, @url)\n    end\n\n    test \"when the remote file does not exist\" do\n      setup_schemas_response()\n      \"validata_source_error.json\" |> setup_validata_response()\n      assert :source_error == validate(@schema_name, @url)\n    end\n  end\n\n  describe \"validata_web_url\" do\n    test \"it works\" do\n      setup_schemas_response()\n\n      assert \"https://validata.fr/table-schema?schema_name=schema-datagouvfr.etalab%2Fschema-lieux-covoiturage\" ==\n               validata_web_url(@schema_name)\n    end\n\n    test \"with an unknown schema\" do\n      schema_name = \"foo\"\n\n      assert_raise RuntimeError, \"#{schema_name} is not a tableschema\", fn ->\n        setup_schemas_response()\n        validata_web_url(schema_name)\n      end\n    end\n  end\n\n  defp setup_validata_response(filename), do: filename |> read_json() |> validata_response_with_body()\n\n  defp read_json(filename), do: File.read!(\"#{__DIR__}/../../fixture/schemas/#{filename}\")\n\n  defp validata_response_with_body(body, status_code \\\\ 200) do\n    query = URI.encode_query(%{schema: schema_url(@schema_name, \"latest\"), url: @url, header_case: \"false\"})\n    url = \"https://api.validata.etalab.studio/validate?#{query}\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:get, fn ^url, [] = _headers, [recv_timeout: 180_000] = _options ->\n      {:ok, %HTTPoison.Response{body: body, status_code: status_code}}\n    end)\n  end\n\n  defp setup_schemas_response do\n    url = \"https://schema.data.gouv.fr/schemas.json\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn ^url ->\n      %HTTPoison.Response{body: File.read!(\"#{__DIR__}/../../fixture/schemas/schemas.json\"), status_code: 200}\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport/validators/validator_selection_test.exs",
    "content": "defmodule Transport.ValidatorsSelectionTest do\n  use ExUnit.Case, async: true\n  import DB.Factory\n  import Mox\n\n  doctest Transport.ValidatorsSelection, import: true\n  alias Transport.ValidatorsSelection.Impl, as: ValidatorsSelection\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  setup :verify_on_exit!\n\n  describe \"validators\" do\n    test \"for a ResourceHistory with only a format\" do\n      resource_history = insert(:resource_history, payload: %{\"format\" => \"GTFS\"})\n\n      assert ValidatorsSelection.validators(resource_history) == [\n               Transport.Validators.GTFSTransport\n             ]\n\n      resource_history = insert(:resource_history, payload: %{\"format\" => \"NeTEx\"})\n\n      assert ValidatorsSelection.validators(resource_history) == [\n               Transport.Validators.NeTEx.Validator\n             ]\n    end\n\n    test \"for a ResourceHistory with a schema\" do\n      resource_history =\n        insert(:resource_history, payload: %{\"format\" => \"csv\", \"schema_name\" => schema_name = \"etalab/schema-zfe\"})\n\n      Transport.Schemas.Mock\n      |> expect(:schemas_by_type, 2, fn type ->\n        case type do\n          \"tableschema\" -> %{}\n          \"jsonschema\" -> %{schema_name => %{}}\n        end\n      end)\n\n      assert [Transport.Validators.JSONSchema] == ValidatorsSelection.validators(resource_history)\n    end\n\n    test \"for a Resource with a format\" do\n      resource = insert(:resource, format: \"gbfs\")\n\n      assert [Transport.Validators.GBFSValidator] == ValidatorsSelection.validators(resource)\n    end\n\n    test \"for a Resource with a schema\" do\n      resource = insert(:resource, format: \"csv\", schema_name: schema_name = \"etalab/schema-zfe\")\n\n      Transport.Schemas.Mock\n      |> expect(:schemas_by_type, 2, fn type ->\n        case type do\n          \"tableschema\" -> %{}\n          \"jsonschema\" -> %{schema_name => %{}}\n        end\n      end)\n\n      assert [Transport.Validators.JSONSchema] == ValidatorsSelection.validators(resource)\n    end\n\n    test \"for a GTFS-Flex\" do\n      rh =\n        insert(:resource_history,\n          payload: %{\n            \"format\" => \"GTFS\",\n            \"filenames\" => [\"locations.geojson\", \"stops.txt\"],\n            \"permanent_url\" => \"https://example.com/file\"\n          }\n        )\n\n      assert DB.ResourceHistory.gtfs_flex?(rh)\n\n      assert [Transport.Validators.MobilityDataGTFSValidator] == ValidatorsSelection.validators(rh)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/aoms_controller_test.exs",
    "content": "defmodule TransportWeb.AOMsControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"display AOM information with inactive dataset\" do\n    aom = insert(:aom, nom: \"aom\")\n    insert(:dataset, is_active: false, legal_owners_aom: [aom], has_realtime: true, type: \"public-transit\")\n\n    assert %{\n             nom: \"aom\",\n             published: false,\n             in_aggregate: false,\n             up_to_date: false,\n             has_realtime: false,\n             nb_gtfs: 0\n           } = TransportWeb.AOMSController.aoms() |> Enum.find(fn r -> r.nom == aom.nom end)\n  end\n\n  test \"display AOM information using legal owners\" do\n    %DB.AOM{nom: nom_aom} = aom = insert(:aom, nom: \"Super AOM 76\")\n    aom2 = insert(:aom)\n\n    dataset =\n      insert(:dataset,\n        legal_owners_aom: [aom, aom2],\n        is_active: true,\n        type: \"public-transit\",\n        has_realtime: true\n      )\n\n    insert(:resource, format: \"NeTEx\", dataset: dataset)\n\n    DB.Factory.insert_resource_and_friends(Date.utc_today() |> Date.add(10), dataset: dataset)\n\n    assert %{\n             nom: ^nom_aom,\n             published: true,\n             in_aggregate: true,\n             up_to_date: true,\n             has_realtime: true,\n             nb_gtfs: 1,\n             nb_netex: 1\n           } = TransportWeb.AOMSController.aoms() |> Enum.find(fn r -> r.nom == aom.nom end)\n  end\n\n  test \"Having an aggregated dataset without GTFS associated validations works\" do\n    %DB.AOM{nom: nom_aom} = aom = insert(:aom, nom: \"Super AOM 76\")\n    aom2 = insert(:aom)\n\n    dataset =\n      insert(:dataset,\n        legal_owners_aom: [aom, aom2],\n        is_active: true,\n        type: \"public-transit\",\n        has_realtime: true\n      )\n\n    insert(:resource, title: \"GTFS-flex TAD\", dataset: dataset, format: \"GTFS\")\n    insert(:resource, dataset: dataset, format: \"gtfs-rt\")\n\n    assert %{\n             nom: ^nom_aom,\n             published: true,\n             in_aggregate: true,\n             # The controller only gets up to date information for GTFS datasets\n             up_to_date: false,\n             # This is a quirk that could be corrected with some effort\n             has_realtime: false,\n             nb_gtfs: 1,\n             nb_gtfs_rt: 1\n           } = TransportWeb.AOMSController.aoms() |> Enum.find(fn r -> r.nom == aom.nom end)\n  end\n\n  test \"displays AOM information with datasets\" do\n    aom = insert(:aom, nom: \"aom\")\n    dataset = insert(:dataset, legal_owners_aom: [aom], is_active: true, type: \"public-transit\", has_realtime: true)\n\n    DB.Factory.insert_resource_and_friends(Date.utc_today() |> Date.add(-10), dataset: dataset)\n    DB.Factory.insert_resource_and_friends(Date.utc_today() |> Date.add(10), dataset: dataset)\n\n    assert %{\n             nom: \"aom\",\n             published: true,\n             in_aggregate: false,\n             up_to_date: true,\n             has_realtime: true,\n             nb_gtfs: 2\n           } = TransportWeb.AOMSController.aoms() |> Enum.find(fn r -> r.nom == aom.nom end)\n  end\n\n  test \"displays AOM information with legal owners\" do\n    %DB.AOM{nom: nom_aom} = aom = insert(:aom, nom: \"Super AOM 76\")\n    aom2 = insert(:aom)\n\n    dataset =\n      insert(:dataset, legal_owners_aom: [aom, aom2], is_active: true, type: \"public-transit\", has_realtime: true)\n\n    DB.Factory.insert_resource_and_friends(Date.utc_today() |> Date.add(10), dataset: dataset)\n\n    assert %{\n             nom: ^nom_aom,\n             published: true,\n             in_aggregate: true,\n             up_to_date: true,\n             has_realtime: true,\n             nb_gtfs: 1\n           } = TransportWeb.AOMSController.aoms() |> Enum.find(fn r -> r.nom == aom.nom end)\n  end\n\n  test \"displays AOM information without dataset\" do\n    %DB.AOM{nom: nom_aom} = aom = insert(:aom, nom: \"Super AOM 76\")\n\n    assert %{\n             nom: ^nom_aom,\n             published: false,\n             in_aggregate: false,\n             up_to_date: false,\n             has_realtime: false,\n             nb_gtfs: 0\n           } = TransportWeb.AOMSController.aoms() |> Enum.find(fn r -> r.nom == aom.nom end)\n  end\n\n  test \"the page renders\", %{conn: conn} do\n    aom = insert(:aom, nom: \"ma petite aom\")\n\n    DB.Factory.insert_resource_and_friends(Date.utc_today() |> Date.add(-10),\n      has_realtime: true,\n      type: \"public-transit\"\n    )\n\n    assert conn |> get(aoms_path(conn, :index)) |> html_response(200) =~ aom.nom\n  end\n\n  test \"can download the CSV\", %{conn: conn} do\n    departement = insert(:departement, insee: \"76\")\n    commune = insert(:commune, nom: \"Rouen\", insee: \"76540\", departement_insee: departement.insee)\n\n    aom =\n      insert(:aom,\n        nom: \"Seine-Maritime\",\n        region: region = insert(:region, nom: \"Normandie\"),\n        insee_commune_principale: commune.insee,\n        departement_object: departement,\n        nombre_communes: 1\n      )\n\n    dataset = insert(:dataset, legal_owners_aom: [aom], is_active: true, type: \"public-transit\", has_realtime: true)\n\n    DB.Factory.insert_resource_and_friends(Date.utc_today() |> Date.add(10), dataset: dataset)\n\n    assert [\n             %{\n               \"departement\" => departement.insee,\n               \"has_realtime\" => \"true\",\n               \"in_aggregate\" => \"false\",\n               \"insee_commune_principale\" => aom.insee_commune_principale,\n               \"nb_gtfs\" => \"1\",\n               \"nb_gtfs_rt\" => \"0\",\n               \"nb_netex\" => \"0\",\n               \"nb_siri\" => \"0\",\n               \"nb_siri_lite\" => \"0\",\n               \"nom\" => aom.nom,\n               \"nom_commune\" => commune.nom,\n               \"nombre_communes\" => aom.nombre_communes |> to_string(),\n               \"population\" => aom.population |> to_string(),\n               \"published\" => \"true\",\n               \"region\" => region.nom,\n               \"up_to_date\" => \"true\"\n             }\n           ] == [conn |> get(aoms_path(conn, :csv)) |> response(200)] |> CSV.decode!(headers: true) |> Enum.to_list()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/api/aom_controller_test.exs",
    "content": "defmodule TransportWeb.API.AomControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n  import OpenApiSpex.TestAssertions\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"GET /api/aoms/:insee\", %{conn: conn} do\n    insert(:departement, insee: \"76\")\n    commune = insert(:commune, insee: \"76217\", aom_siren: \"247600786\")\n\n    insert(:aom,\n      siren: commune.aom_siren,\n      departement: \"76\",\n      forme_juridique: \"Communauté de communes\",\n      nom: \"CA de la région Dieppoise\",\n      insee_commune_principale: \"76217\"\n    )\n\n    json = conn |> get(TransportWeb.API.Router.Helpers.aom_path(conn, :by_insee, commune.insee)) |> json_response(200)\n\n    assert_response_schema(json, \"AOMResponse\", TransportWeb.API.Spec.spec())\n\n    assert json == %{\n             \"departement\" => \"76\",\n             \"forme_juridique\" => \"Communauté de communes\",\n             \"insee_commune_principale\" => \"76217\",\n             \"nom\" => \"CA de la région Dieppoise\",\n             \"siren\" => \"247600786\"\n           }\n  end\n\n  test \"GET /api/aoms/geojson\", %{conn: conn} do\n    insert(:departement, insee: \"38\")\n\n    insert(:aom,\n      geom: %Geo.Polygon{\n        coordinates: [\n          [\n            {55.0, 3.0},\n            {60.0, 3.0},\n            {60.0, 5.0},\n            {55.0, 5.0},\n            {55.0, 3.0}\n          ]\n        ],\n        srid: 4326,\n        properties: %{}\n      },\n      nom: \"Grenoble\",\n      departement: \"38\",\n      forme_juridique: \"Communauté de communes\",\n      insee_commune_principale: \"38185\",\n      siren: \"247400690\"\n    )\n\n    json = conn |> get(TransportWeb.API.Router.Helpers.aom_path(conn, :geojson)) |> json_response(200)\n\n    assert_response_schema(json, \"GeoJSONResponse\", TransportWeb.API.Spec.spec())\n\n    assert json == %{\n             \"features\" => [\n               %{\n                 \"geometry\" => %{\n                   \"coordinates\" => [[[55.0, 3.0], [60.0, 3.0], [60.0, 5.0], [55.0, 5.0], [55.0, 3.0]]],\n                   \"crs\" => %{\"properties\" => %{\"name\" => \"EPSG:4326\"}, \"type\" => \"name\"},\n                   \"type\" => \"Polygon\"\n                 },\n                 \"properties\" => %{\n                   \"departement\" => \"38\",\n                   \"forme_juridique\" => \"Communauté de communes\",\n                   \"insee_commune_principale\" => \"38185\",\n                   \"nom\" => \"Grenoble\",\n                   \"siren\" => \"247400690\"\n                 },\n                 \"type\" => \"Feature\"\n               }\n             ],\n             \"type\" => \"FeatureCollection\"\n           }\n  end\n\n  test \"GET /api/aoms (by_coordinates)\", %{conn: conn} do\n    geom = %Geo.Polygon{\n      coordinates: [\n        [\n          {55.0, 3.0},\n          {60.0, 3.0},\n          {60.0, 5.0},\n          {55.0, 5.0},\n          {55.0, 3.0}\n        ]\n      ],\n      srid: 4326,\n      properties: %{}\n    }\n\n    insert(:departement, insee: \"38\")\n\n    insert(:aom,\n      geom: geom,\n      nom: \"Grenoble\",\n      departement: \"38\",\n      forme_juridique: \"Communauté de communes\",\n      insee_commune_principale: \"38185\",\n      siren: \"247400690\"\n    )\n\n    json =\n      conn\n      |> get(TransportWeb.API.Router.Helpers.aom_path(conn, :by_coordinates, lon: 56.0, lat: 4.0))\n      |> json_response(200)\n\n    assert_response_schema(json, \"AOMResponse\", TransportWeb.API.Spec.spec())\n\n    assert json == %{\n             \"departement\" => \"38\",\n             \"forme_juridique\" => \"Communauté de communes\",\n             \"insee_commune_principale\" => \"38185\",\n             \"nom\" => \"Grenoble\",\n             \"siren\" => \"247400690\"\n           }\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/api/autocomplete_controller_test.exs",
    "content": "defmodule TransportWeb.API.AutocompleteControllerTest do\n  use TransportWeb.ConnCase, async: true\n  alias TransportWeb.API.Router.Helpers\n  import OpenApiSpex.TestAssertions\n  import DB.Factory\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    insert(:administrative_division, nom: \"Châteauroux\", insee: \"36044\", type: :commune, type_insee: \"commune_36044\")\n    insert(:administrative_division, nom: \"Châteauroux\", insee: \"1\", type: :epci, type_insee: \"epci_1\")\n    insert(:administrative_division, nom: \"Île-de-France\", insee: \"2\", type: :region, type_insee: \"region_2\")\n    insert(:administrative_division, nom: \"Île-de-France Mobilités\", insee: \"3\", type: :epci, type_insee: \"epci_3\")\n    insert(:administrative_division, nom: \"Chas\", insee: \"63096\", type: :commune, type_insee: \"commune_63096\")\n    :ok\n  end\n\n  defp cleanup(value) do\n    # we cannot compare the urls as they can contain internal unstable db id\n    # so we strip the id, the last fragment of the url\n    Regex.replace(~r/([[:alnum:]]+$)/, value, \":id\")\n  end\n\n  defp clean_urls(res),\n    do: Enum.map(res, &Map.update!(&1, \"url\", fn v -> cleanup(v) end))\n\n  test \"Search a place\", %{conn: conn} do\n    path = Helpers.autocomplete_path(conn, :autocomplete, q: \"chat\")\n    conn = conn |> get(path)\n    r = conn |> json_response(200)\n\n    assert clean_urls(r) ==\n             [\n               %{\n                 \"name\" => \"Châteauroux\",\n                 \"type\" => \"epci\",\n                 \"url\" => \"/datasets/epci/:id\"\n               },\n               %{\n                 \"name\" => \"Châteauroux (36044)\",\n                 \"type\" => \"commune\",\n                 \"url\" => \"/datasets/commune/:id\"\n               }\n             ]\n\n    [etag] = conn |> get_resp_header(\"etag\")\n    json = json_response(conn, 200)\n    assert etag\n    assert conn |> get_resp_header(\"cache-control\") == [\"max-age=60, public, must-revalidate\"]\n\n    # Passing the previous `ETag` value in a new HTTP request returns a 304\n    conn |> recycle() |> put_req_header(\"if-none-match\", etag) |> get(path) |> response(304)\n\n    assert_response_schema(json, \"AutocompleteResponse\", TransportWeb.API.Spec.spec())\n  end\n\n  test \"Search a place with accent\", %{conn: conn} do\n    json =\n      conn\n      |> get(Helpers.autocomplete_path(conn, :autocomplete, q: \"cha\"))\n      |> json_response(200)\n\n    assert clean_urls(json) ==\n             [\n               %{\n                 \"name\" => \"Châteauroux\",\n                 \"type\" => \"epci\",\n                 \"url\" => \"/datasets/epci/:id\"\n               },\n               %{\n                 \"name\" => \"Chas (63096)\",\n                 \"type\" => \"commune\",\n                 \"url\" => \"/datasets/commune/:id\"\n               },\n               %{\n                 \"name\" => \"Châteauroux (36044)\",\n                 \"type\" => \"commune\",\n                 \"url\" => \"/datasets/commune/:id\"\n               }\n             ]\n\n    assert_response_schema(json, \"AutocompleteResponse\", TransportWeb.API.Spec.spec())\n  end\n\n  test \"Search a place with multiple words\", %{conn: conn} do\n    json =\n      conn\n      |> get(Helpers.autocomplete_path(conn, :autocomplete, q: \"ile de fr\"))\n      |> json_response(200)\n\n    assert clean_urls(json) ==\n             [\n               %{\n                 \"name\" => \"Île-de-France\",\n                 \"type\" => \"region\",\n                 \"url\" => \"/datasets/region/:id\"\n               },\n               %{\n                 \"name\" => \"Île-de-France Mobilités\",\n                 \"type\" => \"epci\",\n                 \"url\" => \"/datasets/epci/:id\"\n               }\n             ]\n\n    assert_response_schema(json, \"AutocompleteResponse\", TransportWeb.API.Spec.spec())\n  end\n\n  test \"Search an unknown place\", %{conn: conn} do\n    json =\n      conn\n      |> get(Helpers.autocomplete_path(conn, :autocomplete, q: \"pouet\"))\n      |> json_response(200)\n\n    assert clean_urls(json) == []\n\n    assert_response_schema(json, \"AutocompleteResponse\", TransportWeb.API.Spec.spec())\n  end\n\n  test \"search a dataset\", %{conn: conn} do\n    dataset = insert(:dataset, custom_title: \"Réseau urbain Astuce\")\n\n    refresh_autocomplete_view()\n\n    json =\n      conn\n      |> get(Helpers.autocomplete_path(conn, :autocomplete, q: \"astuce\"))\n      |> json_response(200)\n\n    assert json == [\n             %{\"name\" => \"Réseau urbain Astuce\", \"type\" => \"dataset\", \"url\" => \"/datasets/#{dataset.slug}\"}\n           ]\n\n    assert_response_schema(json, \"AutocompleteResponse\", TransportWeb.API.Spec.spec())\n  end\n\n  test \"search a dataset and an offer\", %{conn: conn} do\n    offer = insert(:offer, nom_commercial: \"Astuce\")\n    dataset = insert(:dataset, custom_title: \"Réseau urbain Astuce\")\n\n    refresh_autocomplete_view()\n\n    json =\n      conn\n      |> get(Helpers.autocomplete_path(conn, :autocomplete, q: \"astuce\"))\n      |> json_response(200)\n\n    assert json == [\n             %{\"name\" => \"Astuce\", \"type\" => \"offer\", \"url\" => \"/datasets/offer/#{offer.identifiant_offre}\"},\n             %{\"name\" => \"Réseau urbain Astuce\", \"type\" => \"dataset\", \"url\" => \"/datasets/#{dataset.slug}\"}\n           ]\n\n    assert_response_schema(json, \"AutocompleteResponse\", TransportWeb.API.Spec.spec())\n  end\n\n  defp refresh_autocomplete_view, do: Ecto.Adapters.SQL.query!(DB.Repo, \"REFRESH MATERIALIZED VIEW autocomplete\")\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/api/datasets_controller_test.exs",
    "content": "defmodule TransportWeb.API.DatasetControllerTest do\n  use TransportWeb.ConnCase, async: true\n  use TransportWeb.DatabaseCase, cleanup: [:datasets]\n  alias TransportWeb.API.Router.Helpers\n  import DB.Factory\n  import Mox\n  import OpenApiSpex.TestAssertions\n\n  @pan_org_id \"5abca8d588ee386ee6ece479\"\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    :ok\n  end\n\n  test \"GET /api/datasets has HTTP cache headers set\", %{conn: conn} do\n    path = Helpers.dataset_path(conn, :datasets)\n    conn = conn |> get(path)\n\n    [etag] = conn |> get_resp_header(\"etag\")\n    json = json_response(conn, 200)\n    assert etag\n    assert conn |> get_resp_header(\"cache-control\") == [\"max-age=60, public, must-revalidate\"]\n\n    # Passing the previous `ETag` value in a new HTTP request returns a 304\n    conn |> recycle() |> put_req_header(\"if-none-match\", etag) |> get(path) |> response(304)\n\n    api_spec = TransportWeb.API.Spec.spec()\n    assert_schema(json, \"DatasetsResponse\", api_spec)\n  end\n\n  describe \"token_auth\" do\n    test \"GET /api/datasets with an invalid token\", %{conn: conn} do\n      assert conn\n             |> put_req_header(\"authorization\", \"invalid\")\n             |> get(Helpers.dataset_path(conn, :datasets))\n             |> json_response(401) == %{\"error\" => \"You must set a valid Authorization header\"}\n\n      assert [] == DB.APIRequest |> DB.Repo.all()\n    end\n\n    test \"GET /api/datasets with a valid token\", %{conn: conn} do\n      %DB.Token{id: token_id} = token = insert_token()\n\n      assert conn\n             |> put_req_header(\"authorization\", token.secret)\n             |> get(Helpers.dataset_path(conn, :datasets))\n             |> json_response(200)\n\n      assert [\n               %DB.APIRequest{\n                 method: \"TransportWeb.API.DatasetController#datasets\",\n                 path: \"/api/datasets\",\n                 token_id: ^token_id\n               }\n             ] = DB.APIRequest |> DB.Repo.all()\n    end\n\n    test \"GET /api/datasets without a token\", %{conn: conn} do\n      assert conn\n             |> get(Helpers.dataset_path(conn, :datasets))\n             |> json_response(200)\n\n      assert [\n               %DB.APIRequest{\n                 method: \"TransportWeb.API.DatasetController#datasets\",\n                 path: \"/api/datasets\",\n                 token_id: nil\n               }\n             ] = DB.APIRequest |> DB.Repo.all()\n    end\n\n    test \"GET /api/datasets/:id with an invalid token\", %{conn: conn} do\n      assert conn\n             |> put_req_header(\"authorization\", \"invalid\")\n             |> get(Helpers.dataset_path(conn, :by_id, Ecto.UUID.generate()))\n             |> json_response(401) == %{\"error\" => \"You must set a valid Authorization header\"}\n\n      assert [] == DB.APIRequest |> DB.Repo.all()\n    end\n\n    test \"GET /api/datasets/:id with a valid token\", %{conn: conn} do\n      %DB.Token{id: token_id} = token = insert_token()\n      dataset = insert(:dataset)\n\n      setup_empty_history_resources()\n\n      assert conn\n             |> put_req_header(\"authorization\", token.secret)\n             |> get(Helpers.dataset_path(conn, :by_id, dataset.datagouv_id))\n             |> json_response(200)\n\n      path = \"/api/datasets/#{dataset.datagouv_id}\"\n\n      assert [\n               %DB.APIRequest{method: \"TransportWeb.API.DatasetController#by_id\", path: ^path, token_id: ^token_id}\n             ] = DB.APIRequest |> DB.Repo.all()\n    end\n\n    test \"GET /api/datasets/:id without a token\", %{conn: conn} do\n      dataset = insert(:dataset)\n\n      setup_empty_history_resources()\n\n      assert conn\n             |> get(Helpers.dataset_path(conn, :by_id, dataset.datagouv_id))\n             |> json_response(200)\n\n      path = \"/api/datasets/#{dataset.datagouv_id}\"\n\n      assert [\n               %DB.APIRequest{\n                 method: \"TransportWeb.API.DatasetController#by_id\",\n                 path: ^path,\n                 token_id: nil\n               }\n             ] = DB.APIRequest |> DB.Repo.all()\n    end\n  end\n\n  test \"GET /api/datasets does not include inactive or hidden datasets\", %{conn: conn} do\n    insert(:dataset, is_active: false)\n    insert(:dataset, is_active: true, is_hidden: true)\n\n    assert [] == conn |> get(Helpers.dataset_path(conn, :datasets)) |> json_response(200)\n  end\n\n  test \"GET /api/datasets then /api/datasets/:id *with* history, multi_validation and resource_metadata\",\n       %{conn: conn} do\n    ds1 = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"urban\")\n\n    dataset =\n      insert(:dataset,\n        custom_title: \"title\",\n        type: \"public-transit\",\n        licence: \"lov2\",\n        slug: \"slug-1\",\n        is_active: true,\n        created_at: ~U[2021-12-23 13:30:40.000000Z],\n        organization: \"org\",\n        organization_id: \"org_id\",\n        declarative_spatial_areas: [\n          build(:administrative_division, nom: \"Angers Métropole\", insee: \"123456\", type: :epci)\n        ],\n        custom_tags: [\"foo\", \"bar\"],\n        offers: [\n          insert(:offer,\n            identifiant_offre: 1,\n            nom_commercial: \"Superbus\",\n            nom_aom: \"Super AOM\",\n            type_transport: \"Transport urbain\"\n          )\n        ],\n        dataset_subtypes: [ds1]\n      )\n\n    gtfs_resource_1 =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://link.to/file.zip\",\n        latest_url: \"https://static.data.gouv.fr/foo\",\n        datagouv_id: \"1\",\n        type: \"main\",\n        format: \"GTFS\",\n        filesize: 42\n      )\n\n    gtfs_resource_2 =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://link.to/file2.zip\",\n        latest_url: \"https://static.data.gouv.fr/foo2\",\n        datagouv_id: \"2\",\n        type: \"main\",\n        format: \"GTFS\",\n        filesize: 43\n      )\n\n    gbfs_resource =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://link.to/gbfs.json\",\n        latest_url: \"https://link.to/latest\",\n        datagouv_id: \"3\",\n        title: \"GBFS\",\n        type: \"main\",\n        format: \"gbfs\",\n        is_available: false\n      )\n\n    netex_resource =\n      insert(:resource,\n        dataset: dataset,\n        url: \"https://link.to/file3.zip\",\n        latest_url: \"https://static.data.gouv.fr/foo3\",\n        datagouv_id: \"4\",\n        title: \"NeTEx\",\n        type: \"main\",\n        format: \"NeTEx\",\n        filesize: 43\n      )\n\n    insert(:resource_metadata,\n      multi_validation:\n        insert(:multi_validation,\n          resource_history: insert(:resource_history, resource: gtfs_resource_1),\n          validator: Transport.Validators.GTFSTransport.validator_name()\n        ),\n      modes: [\"bus\"],\n      features: [\"couleurs des lignes\"],\n      metadata: %{\"foo\" => \"bar\"}\n    )\n\n    insert(:resource_metadata,\n      multi_validation:\n        insert(:multi_validation,\n          resource_history: insert(:resource_history, resource: gtfs_resource_2),\n          validator: Transport.Validators.GTFSTransport.validator_name()\n        ),\n      modes: [\"skate\"],\n      features: [\"clim\"],\n      metadata: %{\"foo\" => \"bar2\"}\n    )\n\n    insert(:resource_metadata,\n      multi_validation:\n        insert(:multi_validation,\n          resource_history: insert(:resource_history, resource: netex_resource),\n          validator: Transport.Validators.NeTEx.Validator.validator_name()\n        ),\n      modes: [\"bus\"],\n      features: [\"networks\"],\n      metadata: %{\"foo\" => \"bar3\"}\n    )\n\n    path = Helpers.dataset_path(conn, :datasets)\n\n    dataset_res = %{\n      \"community_resources\" => [],\n      \"covered_area\" => [%{\"insee\" => \"123456\", \"nom\" => \"Angers Métropole\", \"type\" => \"epci\"}],\n      \"legal_owners\" => [],\n      \"created_at\" => \"2021-12-23\",\n      \"datagouv_id\" => dataset.datagouv_id,\n      \"id\" => dataset.datagouv_id,\n      \"licence\" => \"lov2\",\n      \"page_url\" => \"http://127.0.0.1:5100/datasets/slug-1\",\n      \"publisher\" => %{\"name\" => \"org\", \"type\" => \"organization\", \"id\" => \"org_id\"},\n      \"resources\" => [\n        %{\n          \"updated\" => gtfs_resource_1.last_update |> DateTime.to_iso8601(),\n          \"page_url\" => resource_page_url(gtfs_resource_1),\n          \"id\" => gtfs_resource_1.id,\n          \"datagouv_id\" => \"1\",\n          \"features\" => [\"couleurs des lignes\"],\n          \"filesize\" => 42,\n          \"format\" => \"GTFS\",\n          \"metadata\" => %{\"foo\" => \"bar\"},\n          \"modes\" => [\"bus\"],\n          \"original_url\" => \"https://link.to/file.zip\",\n          \"title\" => \"GTFS.zip\",\n          \"type\" => \"main\",\n          \"url\" => \"https://static.data.gouv.fr/foo\",\n          \"is_available\" => true\n        },\n        %{\n          \"updated\" => gtfs_resource_2.last_update |> DateTime.to_iso8601(),\n          \"page_url\" => resource_page_url(gtfs_resource_2),\n          \"id\" => gtfs_resource_2.id,\n          \"datagouv_id\" => \"2\",\n          \"features\" => [\"clim\"],\n          \"filesize\" => 43,\n          \"format\" => \"GTFS\",\n          \"metadata\" => %{\"foo\" => \"bar2\"},\n          \"modes\" => [\"skate\"],\n          \"original_url\" => \"https://link.to/file2.zip\",\n          \"title\" => \"GTFS.zip\",\n          \"type\" => \"main\",\n          \"url\" => \"https://static.data.gouv.fr/foo2\",\n          \"is_available\" => true\n        },\n        %{\n          \"updated\" => gbfs_resource.last_update |> DateTime.to_iso8601(),\n          \"page_url\" => resource_page_url(gbfs_resource),\n          \"id\" => gbfs_resource.id,\n          \"datagouv_id\" => gbfs_resource.datagouv_id,\n          \"format\" => gbfs_resource.format,\n          \"original_url\" => gbfs_resource.url,\n          \"title\" => gbfs_resource.title,\n          \"type\" => \"main\",\n          \"url\" => gbfs_resource.latest_url,\n          \"is_available\" => gbfs_resource.is_available\n        },\n        %{\n          \"updated\" => netex_resource.last_update |> DateTime.to_iso8601(),\n          \"page_url\" => resource_page_url(netex_resource),\n          \"id\" => netex_resource.id,\n          \"datagouv_id\" => \"4\",\n          \"features\" => [\"networks\"],\n          \"filesize\" => 43,\n          \"format\" => \"NeTEx\",\n          \"metadata\" => %{\"foo\" => \"bar3\"},\n          \"modes\" => [\"bus\"],\n          \"original_url\" => \"https://link.to/file3.zip\",\n          \"title\" => \"NeTEx\",\n          \"type\" => \"main\",\n          \"url\" => \"https://static.data.gouv.fr/foo3\",\n          \"is_available\" => true\n        }\n      ],\n      \"slug\" => \"slug-1\",\n      \"title\" => \"title\",\n      \"type\" => \"public-transit\",\n      \"sub_types\" => [\"urban\"],\n      \"updated\" =>\n        [gtfs_resource_1, gbfs_resource, gtfs_resource_2, netex_resource]\n        |> Enum.map(& &1.last_update)\n        |> Enum.max(DateTime)\n        |> DateTime.to_iso8601(),\n      \"tags\" => [\"foo\", \"bar\"],\n      \"offers\" => [\n        %{\n          \"identifiant_offre\" => 1,\n          \"nom_aom\" => \"Super AOM\",\n          \"nom_commercial\" => \"Superbus\",\n          \"type_transport\" => \"Transport urbain\"\n        }\n      ]\n    }\n\n    assert json = conn |> get(path) |> json_response(200)\n    assert [dataset_res] == json\n    assert_schema(json, \"DatasetsResponse\", TransportWeb.API.Spec.spec())\n\n    # check the result is in line with a query on this dataset\n    # only difference: individual dataset adds information about history and conversions\n    setup_empty_history_resources()\n\n    dataset_res =\n      dataset_res\n      |> Map.merge(%{\"history\" => []})\n      |> Map.put(\"resources\", Enum.map(dataset_res[\"resources\"], &Map.put(&1, \"conversions\", %{})))\n\n    json = conn |> get(Helpers.dataset_path(conn, :by_id, dataset.datagouv_id)) |> json_response(200)\n    assert dataset_res == json\n    assert_schema(json, \"DatasetDetails\", TransportWeb.API.Spec.spec())\n  end\n\n  test \"GET /api/datasets *without* history, multi_validation and resource_metadata\", %{conn: conn} do\n    resource =\n      insert(:resource,\n        dataset:\n          insert(:dataset,\n            custom_title: \"title\",\n            type: \"public-transit\",\n            licence: \"lov2\",\n            datagouv_id: \"datagouv\",\n            slug: \"slug-1\",\n            is_active: true,\n            created_at: ~U[2021-12-23 13:30:40.000000Z],\n            organization: \"org\",\n            organization_id: \"org_id\",\n            declarative_spatial_areas: [\n              build(:administrative_division, nom: \"Angers Métropole\", insee: \"123456\", type: :epci)\n            ]\n          ),\n        url: \"https://link.to/gbfs.json\",\n        datagouv_id: \"2\",\n        type: \"main\",\n        format: \"gbfs\"\n      )\n\n    path = Helpers.dataset_path(conn, :datasets)\n\n    json = conn |> get(path) |> json_response(200)\n\n    assert [\n             %{\n               \"community_resources\" => [],\n               \"covered_area\" => [%{\"insee\" => \"123456\", \"nom\" => \"Angers Métropole\", \"type\" => \"epci\"}],\n               \"legal_owners\" => [],\n               \"created_at\" => \"2021-12-23\",\n               \"datagouv_id\" => \"datagouv\",\n               \"id\" => \"datagouv\",\n               \"licence\" => \"lov2\",\n               \"page_url\" => \"http://127.0.0.1:5100/datasets/slug-1\",\n               \"publisher\" => %{\"name\" => \"org\", \"id\" => \"org_id\", \"type\" => \"organization\"},\n               \"resources\" => [\n                 %{\n                   \"page_url\" => resource_page_url(resource),\n                   \"id\" => resource.id,\n                   \"is_available\" => true,\n                   \"datagouv_id\" => \"2\",\n                   \"format\" => \"gbfs\",\n                   \"original_url\" => \"https://link.to/gbfs.json\",\n                   \"title\" => \"GTFS.zip\",\n                   \"type\" => \"main\",\n                   \"updated\" => resource.last_update |> DateTime.to_iso8601(),\n                   \"url\" => \"url\"\n                 }\n               ],\n               \"slug\" => \"slug-1\",\n               \"title\" => \"title\",\n               \"type\" => \"public-transit\",\n               \"sub_types\" => [],\n               \"updated\" => resource.last_update |> DateTime.to_iso8601(),\n               \"tags\" => [],\n               \"offers\" => []\n             }\n           ] == json\n\n    assert_schema(json, \"DatasetsResponse\", TransportWeb.API.Spec.spec())\n  end\n\n  test \"GET /api/datasets without the experimental tagged datasets\", %{conn: conn} do\n    insert(:resource,\n      dataset:\n        insert(:dataset,\n          custom_title: \"TC\",\n          type: \"public-transit\",\n          licence: \"lov2\",\n          datagouv_id: \"datagouv-1\",\n          slug: \"slug-1\",\n          is_active: true,\n          created_at: ~U[2021-12-23 13:30:40.000000Z],\n          tags: [\"netex\"]\n        ),\n      url: \"https://link.to/gbfs.json\",\n      datagouv_id: \"1\",\n      type: \"main\",\n      format: \"gbfs\"\n    )\n\n    insert(:resource,\n      dataset:\n        insert(:dataset,\n          custom_title: \"Tarifs (expérimental)\",\n          type: \"public-transit\",\n          licence: \"lov2\",\n          datagouv_id: \"datagouv-2\",\n          slug: \"slug-2\",\n          is_active: true,\n          created_at: ~U[2021-12-23 13:30:40.000000Z],\n          custom_tags: [\"netex\", \"experimental\"]\n        ),\n      url: \"https://link.to/gbfs.json\",\n      datagouv_id: \"2\",\n      type: \"main\",\n      format: \"gbfs\"\n    )\n\n    path = Helpers.dataset_path(conn, :datasets)\n\n    json = conn |> get(path) |> json_response(200)\n\n    assert [%{\"title\" => \"TC\"}] = json\n  end\n\n  test \"GET /api/datasets/:id *without* history, multi_validation and resource_metadata\", %{conn: conn} do\n    aom = insert(:aom, nom: \"Angers Métropole\", siren: \"siren\", id: 4242)\n    region = DB.Region |> Ecto.Query.where(insee: \"52\") |> DB.Repo.one!()\n\n    dataset =\n      insert(:dataset,\n        custom_title: \"title\",\n        is_active: true,\n        type: \"public-transit\",\n        licence: \"lov2\",\n        datagouv_id: \"datagouv\",\n        slug: \"slug-1\",\n        organization: \"org\",\n        resources: [\n          %DB.Resource{\n            last_import: DateTime.utc_now(),\n            last_update: last_update_gtfs = DateTime.utc_now() |> DateTime.add(-2, :hour),\n            url: \"https://link.to/file.zip\",\n            latest_url: \"https://static.data.gouv.fr/foo\",\n            datagouv_id: \"1\",\n            type: \"main\",\n            format: \"GTFS\",\n            filesize: 42,\n            title: \"The title\"\n          },\n          %DB.Resource{\n            last_import: DateTime.utc_now(),\n            last_update: last_update_geojson = DateTime.utc_now() |> DateTime.add(-1, :hour),\n            url: \"http://link.to/file.zip?foo=bar\",\n            latest_url: \"http://static.data.gouv.fr/?foo=bar\",\n            datagouv_id: \"2\",\n            type: \"main\",\n            format: \"geojson\",\n            schema_name: \"etalab/schema-zfe\",\n            title: \"The other title\"\n          }\n        ],\n        created_at: ~U[2021-12-23 13:30:40.000000Z],\n        last_update: DateTime.utc_now(),\n        legal_owners_aom: [aom],\n        legal_owners_region: [region],\n        declarative_spatial_areas: [\n          build(:administrative_division, nom: \"Angers Métropole\", insee: \"123456\", type: :epci)\n        ]\n      )\n\n    setup_empty_history_resources()\n\n    path = Helpers.dataset_path(conn, :by_id, dataset.datagouv_id)\n\n    json = conn |> get(path) |> json_response(200)\n\n    assert %{\n             \"community_resources\" => [],\n             \"covered_area\" => [%{\"insee\" => \"123456\", \"nom\" => \"Angers Métropole\", \"type\" => \"epci\"}],\n             \"legal_owners\" => [\n               %{\"name\" => \"Angers Métropole\", \"siren\" => \"siren\", \"type\" => \"aom\"},\n               %{\"insee\" => \"52\", \"name\" => \"Pays de la Loire\", \"type\" => \"region\"}\n             ],\n             \"created_at\" => \"2021-12-23\",\n             \"datagouv_id\" => \"datagouv\",\n             \"history\" => [],\n             \"id\" => \"datagouv\",\n             \"page_url\" => \"http://127.0.0.1:5100/datasets/slug-1\",\n             \"publisher\" => %{\"name\" => \"org\", \"id\" => dataset.organization_id, \"type\" => \"organization\"},\n             \"resources\" => [\n               %{\n                 \"is_available\" => true,\n                 \"id\" => Enum.find(dataset.resources, &(&1.format == \"GTFS\")).id,\n                 \"page_url\" => dataset.resources |> Enum.find(&(&1.format == \"GTFS\")) |> resource_page_url(),\n                 \"datagouv_id\" => \"1\",\n                 \"filesize\" => 42,\n                 \"type\" => \"main\",\n                 \"format\" => \"GTFS\",\n                 \"original_url\" => \"https://link.to/file.zip\",\n                 \"updated\" => last_update_gtfs |> DateTime.to_iso8601(),\n                 \"url\" => \"https://static.data.gouv.fr/foo\",\n                 \"conversions\" => %{},\n                 \"title\" => \"The title\"\n               },\n               %{\n                 \"is_available\" => true,\n                 \"id\" => Enum.find(dataset.resources, &(&1.format == \"geojson\")).id,\n                 \"page_url\" => dataset.resources |> Enum.find(&(&1.format == \"geojson\")) |> resource_page_url(),\n                 \"datagouv_id\" => \"2\",\n                 \"type\" => \"main\",\n                 \"format\" => \"geojson\",\n                 \"original_url\" => \"http://link.to/file.zip?foo=bar\",\n                 \"schema_name\" => \"etalab/schema-zfe\",\n                 \"updated\" => last_update_geojson |> DateTime.to_iso8601(),\n                 \"url\" => \"http://static.data.gouv.fr/?foo=bar\",\n                 \"conversions\" => %{},\n                 \"title\" => \"The other title\"\n               }\n             ],\n             \"slug\" => \"slug-1\",\n             \"title\" => \"title\",\n             \"type\" => \"public-transit\",\n             \"sub_types\" => [],\n             \"licence\" => \"lov2\",\n             \"updated\" => [last_update_gtfs, last_update_geojson] |> Enum.max(DateTime) |> DateTime.to_iso8601(),\n             \"tags\" => [],\n             \"offers\" => []\n           } == json\n\n    assert_schema(json, \"DatasetDetails\", TransportWeb.API.Spec.spec())\n  end\n\n  test \"GET /api/datasets/:id *with* history, conversions, multi_validation and resource_metadata\", %{conn: conn} do\n    dataset =\n      insert(:dataset,\n        custom_title: \"title\",\n        type: \"public-transit\",\n        licence: \"lov2\",\n        datagouv_id: \"datagouv\",\n        slug: \"slug-1\",\n        is_active: true,\n        created_at: ~U[2021-12-23 13:30:40.000000Z],\n        organization: \"org\",\n        organization_id: \"org_id\",\n        declarative_spatial_areas: [\n          build(:administrative_division, nom: \"Angers Métropole\", insee: \"123456\", type: :epci)\n        ]\n      )\n\n    resource =\n      insert(:resource,\n        dataset_id: dataset.id,\n        url: \"https://link.to/file.zip\",\n        latest_url: \"https://static.data.gouv.fr/foo\",\n        datagouv_id: \"1\",\n        type: \"main\",\n        format: \"GTFS\",\n        filesize: 42\n      )\n\n    gbfs_resource =\n      insert(:resource,\n        dataset_id: dataset.id,\n        url: \"https://link.to/gbfs.json\",\n        datagouv_id: \"2\",\n        type: \"main\",\n        format: \"gbfs\"\n      )\n\n    resource_history =\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: %{\"uuid\" => uuid1 = Ecto.UUID.generate()},\n        last_up_to_date_at: last_up_to_date_at = DateTime.utc_now()\n      )\n\n    insert(:resource_metadata,\n      multi_validation:\n        insert(:multi_validation,\n          resource_history: resource_history,\n          validator: Transport.Validators.GTFSTransport.validator_name()\n        ),\n      modes: [\"bus\"],\n      features: [\"couleurs des lignes\"],\n      metadata: %{\"foo\" => \"bar\"}\n    )\n\n    insert(:data_conversion,\n      resource_history_uuid: uuid1,\n      convert_from: \"GTFS\",\n      convert_to: \"GeoJSON\",\n      converter: DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n      payload: %{\"permanent_url\" => \"https://example.com/url1\", \"filesize\" => filesize = 43}\n    )\n\n    setup_empty_history_resources()\n\n    path = Helpers.dataset_path(conn, :by_id, dataset.datagouv_id)\n\n    json = conn |> get(path) |> json_response(200)\n\n    assert %{\n             \"community_resources\" => [],\n             \"covered_area\" => [%{\"insee\" => \"123456\", \"nom\" => \"Angers Métropole\", \"type\" => \"epci\"}],\n             \"legal_owners\" => [],\n             \"created_at\" => \"2021-12-23\",\n             \"datagouv_id\" => \"datagouv\",\n             \"history\" => [],\n             \"id\" => \"datagouv\",\n             \"licence\" => \"lov2\",\n             \"page_url\" => \"http://127.0.0.1:5100/datasets/slug-1\",\n             \"publisher\" => %{\"name\" => \"org\", \"id\" => \"org_id\", \"type\" => \"organization\"},\n             \"resources\" => [\n               %{\n                 \"updated\" => resource.last_update |> DateTime.to_iso8601(),\n                 \"page_url\" => resource_page_url(resource),\n                 \"id\" => resource.id,\n                 \"is_available\" => true,\n                 \"datagouv_id\" => \"1\",\n                 \"features\" => [\"couleurs des lignes\"],\n                 \"filesize\" => 42,\n                 \"format\" => \"GTFS\",\n                 \"metadata\" => %{\"foo\" => \"bar\"},\n                 \"modes\" => [\"bus\"],\n                 \"original_url\" => \"https://link.to/file.zip\",\n                 \"title\" => \"GTFS.zip\",\n                 \"type\" => \"main\",\n                 \"url\" => \"https://static.data.gouv.fr/foo\",\n                 \"conversions\" => %{\n                   \"GeoJSON\" => %{\n                     \"filesize\" => filesize,\n                     \"last_check_conversion_is_up_to_date\" => last_up_to_date_at |> DateTime.to_iso8601(),\n                     \"stable_url\" => \"http://127.0.0.1:5100/resources/conversions/#{resource.id}/GeoJSON\"\n                   }\n                 }\n               },\n               %{\n                 \"updated\" => gbfs_resource.last_update |> DateTime.to_iso8601(),\n                 \"page_url\" => resource_page_url(gbfs_resource),\n                 \"id\" => gbfs_resource.id,\n                 \"is_available\" => true,\n                 \"datagouv_id\" => \"2\",\n                 \"format\" => \"gbfs\",\n                 \"original_url\" => \"https://link.to/gbfs.json\",\n                 \"title\" => \"GTFS.zip\",\n                 \"type\" => \"main\",\n                 \"url\" => \"url\",\n                 \"conversions\" => %{}\n               }\n             ],\n             \"slug\" => \"slug-1\",\n             \"title\" => \"title\",\n             \"type\" => \"public-transit\",\n             \"sub_types\" => [],\n             \"updated\" =>\n               [resource, gbfs_resource] |> Enum.map(& &1.last_update) |> Enum.max(DateTime) |> DateTime.to_iso8601(),\n             \"tags\" => [],\n             \"offers\" => []\n           } == json\n\n    assert_schema(json, \"DatasetDetails\", TransportWeb.API.Spec.spec())\n  end\n\n  test \"GET /api/datasets/:id with an hidden dataset\", %{conn: conn} do\n    %DB.Dataset{datagouv_id: datagouv_id} = insert(:dataset, is_active: true, is_hidden: true)\n\n    setup_empty_history_resources()\n\n    assert %{\"datagouv_id\" => ^datagouv_id} =\n             conn\n             |> get(Helpers.dataset_path(conn, :by_id, datagouv_id))\n             |> json_response(200)\n  end\n\n  test \"GET /api/datasets/:id with a dataset tagged 'experimental'\", %{conn: conn} do\n    setup_empty_history_resources()\n\n    %DB.Dataset{datagouv_id: visible_dataset_datagouv_id} =\n      insert(:dataset,\n        datagouv_id: \"datagouv-1\",\n        is_active: true,\n        created_at: ~U[2021-12-23 13:30:40.000000Z],\n        tags: [\"netex\"]\n      )\n\n    %DB.Dataset{datagouv_id: experimental_dataset_datagouv_id} =\n      insert(:dataset,\n        datagouv_id: \"datagouv-2\",\n        is_active: true,\n        created_at: ~U[2021-12-23 13:30:40.000000Z],\n        custom_tags: [\"netex\", \"experimental\"]\n      )\n\n    assert %{\"datagouv_id\" => ^visible_dataset_datagouv_id} =\n             conn\n             |> get(Helpers.dataset_path(conn, :by_id, visible_dataset_datagouv_id))\n             |> json_response(200)\n\n    conn\n    |> get(Helpers.dataset_path(conn, :by_id, experimental_dataset_datagouv_id))\n    |> json_response(404)\n  end\n\n  test \"gtfs-rt features are filled\", %{conn: conn} do\n    dataset_1 =\n      insert(:dataset,\n        datagouv_id: datagouv_id_1 = Ecto.UUID.generate(),\n        organization: \"org\",\n        organization_id: \"org_id\"\n      )\n\n    resource_1 = insert(:resource, dataset_id: dataset_1.id, format: \"gtfs-rt\")\n    insert(:resource_metadata, resource_id: resource_1.id, features: [\"a\"])\n    insert(:resource_metadata, resource_id: resource_1.id, features: [\"a\", \"b\"])\n    insert(:resource_metadata, resource_id: resource_1.id, features: [\"c\"])\n\n    setup_empty_history_resources()\n\n    # call to specific dataset\n    path = Helpers.dataset_path(conn, :by_id, datagouv_id_1)\n    dataset_response = conn |> get(path) |> json_response(200)\n    %{\"resources\" => [%{\"features\" => features}]} = dataset_response\n\n    assert_schema(dataset_response, \"DatasetDetails\", TransportWeb.API.Spec.spec())\n\n    assert features |> Enum.sort() == [\"a\", \"b\", \"c\"]\n\n    # add another dataset\n    dataset_2 =\n      insert(:dataset,\n        datagouv_id: datagouv_id_2 = Ecto.UUID.generate(),\n        organization: \"org2\",\n        organization_id: \"org2_id\"\n      )\n\n    resource_2 = insert(:resource, dataset_id: dataset_2.id, format: \"gtfs-rt\")\n    insert(:resource_metadata, resource_id: resource_2.id, features: [\"x\"])\n\n    # call for all datasets\n    path = Helpers.dataset_path(conn, :datasets)\n    datasets = conn |> get(path) |> json_response(200)\n    assert_schema(datasets, \"DatasetsResponse\", TransportWeb.API.Spec.spec())\n\n    assert [\"a\", \"b\", \"c\"] ==\n             datasets\n             |> Enum.find(fn d -> Map.get(d, \"datagouv_id\") == datagouv_id_1 end)\n             |> Map.get(\"resources\")\n             |> Enum.at(0)\n             |> Map.get(\"features\")\n             |> Enum.sort()\n\n    assert [\"x\"] ==\n             datasets\n             |> Enum.find(fn d -> Map.get(d, \"datagouv_id\") == datagouv_id_2 end)\n             |> Map.get(\"resources\")\n             |> Enum.at(0)\n             |> Map.get(\"features\")\n             |> Enum.sort()\n  end\n\n  test \"GET /api/datasets/:id with a PAN resource\", %{conn: conn} do\n    dataset = insert(:dataset, organization_id: @pan_org_id)\n    resource = insert(:resource, dataset: dataset)\n    setup_empty_history_resources()\n\n    json = conn |> get(Helpers.dataset_path(conn, :by_id, dataset.datagouv_id)) |> json_response(200)\n\n    download_url = TransportWeb.Router.Helpers.resource_url(TransportWeb.Endpoint, :download, resource.id)\n    assert [%{\"url\" => ^download_url}] = json[\"resources\"]\n  end\n\n  test \"GET /api/datasets/:id with a PAN resource and a token\", %{conn: conn} do\n    dataset = insert(:dataset, organization_id: @pan_org_id)\n    resource = insert(:resource, dataset: dataset)\n    %DB.Token{secret: secret} = insert_token()\n\n    setup_empty_history_resources()\n\n    json =\n      conn\n      |> put_req_header(\"authorization\", secret)\n      |> get(Helpers.dataset_path(conn, :by_id, dataset.datagouv_id))\n      |> json_response(200)\n\n    download_url = TransportWeb.Router.Helpers.resource_url(TransportWeb.Endpoint, :download, resource.id)\n    auth_url = download_url <> \"?token=#{secret}\"\n    assert [%{\"url\" => ^auth_url}] = json[\"resources\"]\n  end\n\n  test \"GET /api/datasets/:id with a dataset with experimentation tag\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, dataset: dataset)\n    setup_empty_history_resources()\n\n    json = conn |> get(Helpers.dataset_path(conn, :by_id, dataset.datagouv_id)) |> json_response(200)\n\n    download_url = TransportWeb.Router.Helpers.resource_url(TransportWeb.Endpoint, :download, resource.id)\n    assert [%{\"url\" => ^download_url}] = json[\"resources\"]\n  end\n\n  test \"GET /api/datasets/:id with a dataset with experimentation tag and a token\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, dataset: dataset)\n    %DB.Token{secret: secret} = insert_token()\n\n    setup_empty_history_resources()\n\n    json =\n      conn\n      |> put_req_header(\"authorization\", secret)\n      |> get(Helpers.dataset_path(conn, :by_id, dataset.datagouv_id))\n      |> json_response(200)\n\n    download_url = TransportWeb.Router.Helpers.resource_url(TransportWeb.Endpoint, :download, resource.id)\n    auth_url = download_url <> \"?token=#{secret}\"\n    assert [%{\"url\" => ^auth_url}] = json[\"resources\"]\n  end\n\n  test \"GET /api/datasets with a PAN dataset and a token\", %{conn: conn} do\n    dataset = insert(:dataset, organization_id: @pan_org_id)\n    resource = insert(:resource, dataset: dataset)\n    %DB.Token{secret: secret} = insert_token()\n\n    json =\n      conn\n      |> put_req_header(\"authorization\", secret)\n      |> get(Helpers.dataset_path(conn, :datasets))\n      |> json_response(200)\n\n    download_url = TransportWeb.Router.Helpers.resource_url(TransportWeb.Endpoint, :download, resource.id)\n    auth_url = download_url <> \"?token=#{secret}\"\n    assert [%{\"url\" => ^auth_url}] = json |> hd() |> Map.get(\"resources\")\n  end\n\n  test \"GET /api/datasets with a dataset with experimentation tag and a token\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, dataset: dataset)\n    %DB.Token{secret: secret} = insert_token()\n\n    json =\n      conn\n      |> put_req_header(\"authorization\", secret)\n      |> get(Helpers.dataset_path(conn, :datasets))\n      |> json_response(200)\n\n    download_url = TransportWeb.Router.Helpers.resource_url(TransportWeb.Endpoint, :download, resource.id)\n    auth_url = download_url <> \"?token=#{secret}\"\n    assert [%{\"url\" => ^auth_url}] = json |> hd() |> Map.get(\"resources\")\n  end\n\n  test \"GET /api/datasets with a dataset with experimentation tag and a real-time resource\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, latest_url: \"https://example.com/gbfs\", format: \"gbfs\", dataset: dataset)\n\n    assert DB.Resource.real_time?(resource)\n\n    json =\n      conn\n      |> get(Helpers.dataset_path(conn, :datasets))\n      |> json_response(200)\n\n    download_url = resource.latest_url\n    assert [%{\"url\" => ^download_url}] = json |> hd() |> Map.get(\"resources\")\n  end\n\n  test \"GET /api/datasets/:id with a proxy resource\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/#{Ecto.UUID.generate()}\")\n    assert resource |> DB.Resource.served_by_proxy?()\n    setup_empty_history_resources()\n\n    json = conn |> get(Helpers.dataset_path(conn, :by_id, dataset.datagouv_id)) |> json_response(200)\n\n    download_url = resource.url\n    assert [%{\"url\" => ^download_url}] = json[\"resources\"]\n  end\n\n  test \"GET /api/datasets/:id with a proxy resource and a token\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/#{Ecto.UUID.generate()}\")\n    assert resource |> DB.Resource.served_by_proxy?()\n    %DB.Token{secret: secret} = insert_token()\n\n    setup_empty_history_resources()\n\n    json =\n      conn\n      |> put_req_header(\"authorization\", secret)\n      |> get(Helpers.dataset_path(conn, :by_id, dataset.datagouv_id))\n      |> json_response(200)\n\n    auth_url = resource.url <> \"?token=#{secret}\"\n    assert [%{\"url\" => ^auth_url}] = json[\"resources\"]\n  end\n\n  test \"GET /api/datasets with a proxy resource and a token\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/#{Ecto.UUID.generate()}\")\n    assert resource |> DB.Resource.served_by_proxy?()\n    %DB.Token{secret: secret} = insert_token()\n\n    json =\n      conn\n      |> put_req_header(\"authorization\", secret)\n      |> get(Helpers.dataset_path(conn, :datasets))\n      |> json_response(200)\n\n    auth_url = resource.url <> \"?token=#{secret}\"\n    assert [%{\"url\" => ^auth_url}] = json |> hd() |> Map.get(\"resources\")\n  end\n\n  test \"covered_area\" do\n    dataset =\n      insert(:dataset,\n        declarative_spatial_areas: [\n          build(:administrative_division, nom: \"A\", insee: \"123\", type_insee: \"epci_123\", type: :epci),\n          build(:administrative_division, nom: \"B\", insee: \"456\", type_insee: \"region_456\", type: :region)\n        ]\n      )\n      |> DB.Repo.preload(:declarative_spatial_areas)\n\n    assert TransportWeb.API.DatasetController.covered_area(dataset) == [\n             %{type: :region, nom: \"B\", insee: \"456\"},\n             %{type: :epci, nom: \"A\", insee: \"123\"}\n           ]\n  end\n\n  describe \"geojson_by_id\" do\n    test \"it works\", %{conn: conn} do\n      commune =\n        insert(:administrative_division,\n          type: :commune,\n          type_insee: \"commune_12345\",\n          insee: \"12345\",\n          nom: \"Test Commune\",\n          geom: %Geo.Point{coordinates: {1, 1}, srid: 4326}\n        )\n\n      departement =\n        insert(:administrative_division,\n          type: :departement,\n          type_insee: \"departement_123\",\n          insee: \"123\",\n          nom: \"Test Département\",\n          geom: %Geo.Polygon{\n            coordinates: [\n              [\n                {55.0, 3.0},\n                {60.0, 3.0},\n                {60.0, 5.0},\n                {55.0, 5.0},\n                {55.0, 3.0}\n              ]\n            ],\n            srid: 4326,\n            properties: %{}\n          }\n        )\n\n      dataset = insert(:dataset, declarative_spatial_areas: [departement, commune])\n\n      json =\n        conn\n        |> get(Helpers.dataset_path(conn, :geojson_by_id, dataset.datagouv_id))\n        |> json_response(200)\n\n      assert json == %{\n               \"features\" => [\n                 %{\n                   \"geometry\" => %{\n                     \"coordinates\" => [[[55.0, 3.0], [60.0, 3.0], [60.0, 5.0], [55.0, 5.0], [55.0, 3.0]]],\n                     \"crs\" => %{\"properties\" => %{\"name\" => \"EPSG:4326\"}, \"type\" => \"name\"},\n                     \"type\" => \"Polygon\"\n                   },\n                   \"properties\" => %{\"name\" => \"Test Département\"},\n                   \"type\" => \"Feature\"\n                 },\n                 %{\n                   \"geometry\" => %{\n                     \"coordinates\" => [1.0, 1.0],\n                     \"crs\" => %{\"properties\" => %{\"name\" => \"EPSG:4326\"}, \"type\" => \"name\"},\n                     \"type\" => \"Point\"\n                   },\n                   \"properties\" => %{\"name\" => \"Test Commune\"},\n                   \"type\" => \"Feature\"\n                 }\n               ],\n               \"name\" => \"Dataset #{dataset.slug}\",\n               \"type\" => \"FeatureCollection\"\n             }\n    end\n\n    test \"404\", %{conn: conn} do\n      json =\n        conn\n        |> get(Helpers.dataset_path(conn, :geojson_by_id, \"notfound\"))\n        |> json_response(404)\n\n      assert json == \"dataset not found\"\n    end\n  end\n\n  defp setup_empty_history_resources do\n    expect(Transport.History.Fetcher.Mock, :history_resources, fn %DB.Dataset{}, options ->\n      assert Keyword.equal?(options,\n               preload_validations: false,\n               max_records: 25,\n               fetch_mode: :all,\n               only_metadata: false\n             )\n\n      []\n    end)\n  end\n\n  defp resource_page_url(%DB.Resource{id: id}) do\n    TransportWeb.Router.Helpers.resource_url(TransportWeb.Endpoint, :details, id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/api/features_controller_test.exs",
    "content": "defmodule TransportWeb.API.FeaturesControllerTest do\n  use TransportWeb.ConnCase, async: true\n  alias TransportWeb.API.Router.Helpers\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"autocomplete\", %{conn: conn} do\n    assert [] == DB.Repo.all(DB.FeatureUsage)\n\n    assert conn\n           |> post(Helpers.features_path(conn, :autocomplete, %{name: \"Foo\", type: \"commune\", contact_id: nil}))\n           |> json_response(200) == %{\"status\" => \"ok\"}\n\n    assert [\n             %DB.FeatureUsage{\n               feature: :autocomplete,\n               metadata: %{\"name\" => \"Foo\", \"type\" => \"commune\"},\n               contact_id: nil\n             }\n           ] = DB.Repo.all(DB.FeatureUsage)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/api/geo_query_controller_test.exs",
    "content": "defmodule TransportWeb.API.GeoQueryControllerTest do\n  # The trigger refresh_dataset_geographic_view_trigger makes this test\n  # unreliable in a concurrent setup.\n  use TransportWeb.ConnCase, async: false\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"a BNLC geo query\", %{conn: conn} do\n    %{id: dataset_id} = insert_bnlc_dataset()\n\n    %{id: resource_history_id} = insert(:resource_history, %{payload: %{\"dataset_id\" => dataset_id}})\n    %{id: geo_data_import_id} = insert(:geo_data_import, %{slug: :bnlc, resource_history_id: resource_history_id})\n    %{id: geo_data_import_id_ko} = insert(:geo_data_import)\n\n    point1 = %Geo.Point{coordinates: {1, 1}, srid: 4326}\n    point2 = %Geo.Point{coordinates: {2, 2}, srid: 4326}\n\n    insert(:geo_data, %{geo_data_import_id: geo_data_import_id, geom: point1, payload: %{\"nom_lieu\" => \"Ajaccio\"}})\n\n    insert(:geo_data, %{geo_data_import_id: geo_data_import_id, geom: point2, payload: %{\"nom_lieu\" => \"Coti-Chiavari\"}})\n\n    insert(:geo_data, %{geo_data_import_id: geo_data_import_id_ko, geom: point2, payload: %{\"nom_lieu\" => \"Bastia\"}})\n\n    assert_expected_geojson(conn,\n      data: \"bnlc\",\n      expected_features: [\n        %{\n          \"geometry\" => %{\"coordinates\" => [1, 1], \"type\" => \"Point\"},\n          \"properties\" => %{\"nom_lieu\" => \"Ajaccio\"},\n          \"type\" => \"Feature\"\n        },\n        %{\n          \"geometry\" => %{\"coordinates\" => [2, 2], \"type\" => \"Point\"},\n          \"properties\" => %{\"nom_lieu\" => \"Coti-Chiavari\"},\n          \"type\" => \"Feature\"\n        }\n      ]\n    )\n  end\n\n  test \"a ZFE geo query\", %{conn: conn} do\n    %{id: dataset_id} = insert_zfe_dataset()\n\n    %{id: resource_history_id} = insert(:resource_history, %{payload: %{\"dataset_id\" => dataset_id}})\n    %{id: geo_data_import_id} = insert(:geo_data_import, %{slug: :zfe, resource_history_id: resource_history_id})\n\n    %{id: geo_data_import_id_ko} = insert(:geo_data_import)\n\n    polygon1 = %Geo.Polygon{coordinates: [[{102, 2}, {103, 2}, {103, 3}, {102, 3}, {102, 2}]], srid: 4326}\n    polygon2 = %Geo.Polygon{coordinates: [[{42, 2}, {103, 2}, {103, 3}, {42, 3}, {42, 2}]], srid: 4326}\n\n    insert(:geo_data, %{\n      geo_data_import_id: geo_data_import_id,\n      geom: polygon1,\n      payload: %{}\n    })\n\n    insert(:geo_data, %{\n      geo_data_import_id: geo_data_import_id,\n      geom: polygon2,\n      payload: %{}\n    })\n\n    # Should be ignored, other `geo_data_import`\n    insert(:geo_data, %{\n      geo_data_import_id: geo_data_import_id_ko,\n      geom: %Geo.Point{coordinates: {1, 1}, srid: 4326},\n      payload: %{}\n    })\n\n    assert_expected_geojson(conn,\n      data: \"zfe\",\n      expected_features: [\n        %{\n          \"geometry\" => %{\n            \"coordinates\" => [[[102, 2], [103, 2], [103, 3], [102, 3], [102, 2]]],\n            \"type\" => \"Polygon\"\n          },\n          \"properties\" => %{},\n          \"type\" => \"Feature\"\n        },\n        %{\n          \"geometry\" => %{\n            \"coordinates\" => [[[42, 2], [103, 2], [103, 3], [42, 3], [42, 2]]],\n            \"type\" => \"Polygon\"\n          },\n          \"properties\" => %{},\n          \"type\" => \"Feature\"\n        }\n      ]\n    )\n  end\n\n  test \"a IRVE geo query\", %{conn: conn} do\n    %{id: dataset_id} = insert_irve_dataset()\n    insert_imported_irve_geo_data(dataset_id)\n\n    assert_expected_geojson(conn,\n      data: \"irve\",\n      expected_features: [\n        %{\n          \"geometry\" => %{\"coordinates\" => [1, 1], \"type\" => \"Point\"},\n          \"properties\" => %{\n            \"nom_enseigne\" => \"Recharge Super 95\",\n            \"id_station_itinerance\" => \"FRELCPEYSPC\",\n            \"nom_station\" => \"Dehaven Centre\",\n            \"nbre_pdc\" => \"2\"\n          },\n          \"type\" => \"Feature\"\n        },\n        %{\n          \"geometry\" => %{\"coordinates\" => [2, 2], \"type\" => \"Point\"},\n          \"properties\" => %{\n            \"nom_enseigne\" => \"Recharge Super 95\",\n            \"id_station_itinerance\" => \"FRELCPBLOHM\",\n            \"nom_station\" => \"Gemina Port\",\n            \"nbre_pdc\" => \"3\"\n          },\n          \"type\" => \"Feature\"\n        }\n      ]\n    )\n  end\n\n  test \"a gbfs_stations geo query\", %{conn: conn} do\n    %{id: geo_data_import_id} = insert(:geo_data_import, %{slug: :gbfs_stations})\n    %{id: geo_data_import_id_ko} = insert(:geo_data_import)\n\n    insert(:geo_data, %{\n      geo_data_import_id: geo_data_import_id,\n      geom: %Geo.Point{coordinates: {1, 1}, srid: 4326},\n      payload: %{name: \"Gare\", capacity: 42}\n    })\n\n    insert(:geo_data, %{\n      geo_data_import_id: geo_data_import_id,\n      geom: %Geo.Point{coordinates: {2, 2}, srid: 4326},\n      payload: %{name: \"Bistrot\", capacity: 20}\n    })\n\n    # Should be ignored, other `geo_data_import`\n    insert(:geo_data, %{\n      geo_data_import_id: geo_data_import_id_ko,\n      geom: %Geo.Point{coordinates: {3, 4}, srid: 4326},\n      payload: %{}\n    })\n\n    assert_expected_geojson(conn,\n      data: \"gbfs_stations\",\n      expected_features: [\n        %{\n          \"geometry\" => %{\"coordinates\" => [1, 1], \"type\" => \"Point\"},\n          \"properties\" => %{\"capacity\" => \"42\", \"name\" => \"Gare\"},\n          \"type\" => \"Feature\"\n        },\n        %{\n          \"geometry\" => %{\"coordinates\" => [2, 2], \"type\" => \"Point\"},\n          \"properties\" => %{\"capacity\" => \"20\", \"name\" => \"Bistrot\"},\n          \"type\" => \"Feature\"\n        }\n      ]\n    )\n  end\n\n  test \"404 cases\", %{conn: conn} do\n    conn\n    |> get(TransportWeb.API.Router.Helpers.geo_query_path(conn, :index))\n    |> json_response(404)\n\n    conn\n    |> get(TransportWeb.API.Router.Helpers.geo_query_path(conn, :index, data: Ecto.UUID.generate()))\n    |> json_response(404)\n  end\n\n  defp assert_expected_geojson(%Plug.Conn{} = conn, data: data, expected_features: expected_features) do\n    %{\"type\" => \"FeatureCollection\", \"features\" => features} =\n      conn\n      |> get(TransportWeb.API.Router.Helpers.geo_query_path(conn, :index, data: data))\n      |> json_response(200)\n\n    assert MapSet.new(features) == MapSet.new(expected_features)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/api/gtfs_stops_controller_test.exs",
    "content": "defmodule TransportWeb.API.GTFSStopsControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"GET /api/gtfs-stops without parameters\", %{conn: conn} do\n    conn = conn |> get(~p\"/api/gtfs-stops\")\n    json = json_response(conn, 422)\n    assert json[\"error\"] == \"incorrect parameters\"\n  end\n\n  test \"GET /api/gtfs-stops with full map parameters\", %{conn: conn} do\n    conn =\n      conn\n      |> get(~p\"/api/gtfs-stops\", %{\n        \"south\" => \"48.8\",\n        \"east\" => \"2.4\",\n        \"west\" => \"2.2\",\n        \"north\" => \"48.9\",\n        \"width_pixels\" => \"1000\",\n        \"height_pixels\" => \"1000\",\n        \"zoom_level\" => \"12\"\n      })\n\n    json = json_response(conn, 200)\n    assert json[\"type\"] == \"FeatureCollection\"\n  end\n\n  test \"GET /api/gtfs-stops with a small zoom\", %{conn: conn} do\n    # At least one stop is needed to create the materialized view\n    insert(:gtfs_stops, %{stop_lat: 48.8, stop_lon: 2.4})\n    Transport.GTFSData.create_gtfs_stops_materialized_view(6)\n\n    conn =\n      conn\n      |> get(~p\"/api/gtfs-stops\", %{\n        \"south\" => \"43.5326204268101\",\n        \"east\" => \"22.6318359375\",\n        \"west\" => \"-18.764648437500004\",\n        \"north\" => \"49.724479188712984\",\n        \"width_pixels\" => \"1884\",\n        \"height_pixels\" => \"411\",\n        \"zoom_level\" => \"6\"\n      })\n\n    json = json_response(conn, 200)\n    assert json[\"type\"] == \"clustered\"\n  end\n\n  test \"GET /api/gtfs-stops with only coordinate parameters\", %{conn: conn} do\n    insert(:gtfs_stops, %{stop_lat: 48.8, stop_lon: 2.4})\n\n    conn =\n      conn\n      |> get(~p\"/api/gtfs-stops\", %{\n        \"south\" => \"48.8\",\n        \"east\" => \"2.4\",\n        \"west\" => \"2.2\",\n        \"north\" => \"48.9\"\n      })\n\n    json = json_response(conn, 200)\n    assert json[\"type\"] == \"FeatureCollection\"\n\n    # Note: It’s not possible to test that the response is a GeoJSON (with a FeatureCollection) that matches the schema\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/api/schemas_test.exs",
    "content": "defmodule TransportWeb.API.SchemasTest do\n  use ExUnit.Case, async: true\n\n  test \"make sure we get a warning because this helps keeping specs in sync with API output\" do\n    api_spec = TransportWeb.API.Spec.spec()\n\n    api_spec.components.schemas\n    |> Enum.filter(fn {_name, schema} -> schema.type == :object end)\n    # composable type\n    |> Enum.reject(fn {name, _schema} -> name == \"GeometryBase\" end)\n    |> Enum.each(fn {name, schema} ->\n      assert schema.additionalProperties == false,\n             ~s(\"#{name}\" OpenAPI spec declaration lacks additionalProperties: false\")\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/api/stats_controller_test.exs",
    "content": "defmodule TransportWeb.API.StatsControllerTest do\n  use TransportWeb.DatabaseCase, async: false, cleanup: [:datasets, :dataset_triggers]\n  use TransportWeb.ConnCase\n  import Mock\n  import DB.Factory\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    :ok\n  end\n\n  @cached_features_routes [\n    {\"/api/stats\", \"api-stats-aoms\"},\n    {\"/api/stats/quality\", \"api-stats-quality\"}\n  ]\n\n  for {route, cache_key} <- @cached_features_routes do\n    test \"GET #{route} (invokes the cache system)\", %{conn: conn} do\n      # return original computed payload\n      mock = fn unquote(cache_key), x, _ -> x.() end\n\n      with_mock Transport.Cache, fetch: mock do\n        conn = conn |> get(unquote(route))\n        %{\"features\" => _features} = json_response(conn, 200)\n        assert_called_exactly(Transport.Cache.fetch(:_, :_, :_), 1)\n      end\n    end\n\n    test \"GET #{route} (returns the cached value as is)\", %{conn: conn} do\n      mock = fn unquote(cache_key), _, _ -> %{hello: 123} |> Jason.encode!() end\n\n      with_mock Transport.Cache, fetch: mock do\n        conn = conn |> get(unquote(route))\n        assert json_response(conn, 200) == %{\"hello\" => 123}\n      end\n    end\n  end\n\n  test \"Get the vehicles sharing stats\" do\n    ad =\n      insert(:administrative_division,\n        type: :epci,\n        insee: \"01\",\n        geom:\n          \"SRID=4326;POLYGON((55.5832 -21.3723,55.5510 -21.3743,55.5359 -21.3631,55.5832 -21.3723))\"\n          |> Geo.WKT.decode!()\n      )\n\n    dataset1 =\n      insert(:dataset, %{\n        type: \"vehicles-sharing\",\n        is_active: true,\n        declarative_spatial_areas: [ad],\n        custom_title: \"other name\",\n        slug: \"a\"\n      })\n\n    dataset2 =\n      insert(:dataset, %{\n        type: \"vehicles-sharing\",\n        is_active: true,\n        declarative_spatial_areas: [ad],\n        custom_title: \"name\",\n        slug: \"z\"\n      })\n\n    insert(:dataset)\n\n    expected = [\n      %{\n        \"geometry\" => %{\n          \"coordinates\" => [[[55.5832, -21.3723], [55.551, -21.3743], [55.5359, -21.3631], [55.5832, -21.3723]]],\n          \"crs\" => %{\"properties\" => %{\"name\" => \"EPSG:4326\"}, \"type\" => \"name\"},\n          \"type\" => \"Polygon\"\n        },\n        \"properties\" => %{\n          names: [dataset2.custom_title, dataset1.custom_title],\n          slugs: [dataset2.slug, dataset1.slug]\n        },\n        \"type\" => \"Feature\"\n      }\n    ]\n\n    assert TransportWeb.API.StatsController.vehicles_sharing_features_query()\n           |> DB.Repo.all()\n           |> TransportWeb.API.StatsController.vehicles_sharing_features() == expected\n\n    # result can be encoded\n    refute expected |> Jason.encode!() |> is_nil()\n  end\n\n  test \"can load the /stats page\", %{conn: conn} do\n    insert(:resource_metadata, features: [\"service_alerts\"], resource: insert(:resource, format: \"gtfs-rt\"))\n\n    insert(:resource_metadata,\n      features: [\"service_alerts\", \"vehicle_positions\"],\n      resource: insert(:resource, format: \"gtfs-rt\")\n    )\n\n    insert_bnlc_dataset()\n    insert_parcs_relais_dataset()\n    insert_irve_dataset()\n    insert_zfe_dataset()\n\n    conn2 = conn |> get(TransportWeb.Router.Helpers.stats_path(conn, :index))\n    assert conn2 |> html_response(200)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/api/validators_controller_test.exs",
    "content": "defmodule TransportWeb.API.ValidatorsControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import Mox\n\n  setup :verify_on_exit!\n\n  describe \"/gtfs-transport\" do\n    test \"without an Authorization header\", %{conn: conn} do\n      conn = conn |> get(~p\"/api/validators/gtfs-transport\")\n      assert %{\"error\" => \"You must set a valid Authorization header\"} == json_response(conn, 401)\n    end\n\n    test \"with an invalid Authorization header\", %{conn: conn} do\n      conn = conn |> put_req_header(\"authorization\", \"invalid\") |> get(~p\"/api/validators/gtfs-transport\")\n      assert %{\"error\" => \"You must set a valid Authorization header\"} == json_response(conn, 401)\n    end\n\n    test \"with a valid Authorization header, no URL\", %{conn: conn} do\n      conn = conn |> put_req_header(\"authorization\", \"secret_token\") |> get(~p\"/api/validators/gtfs-transport\")\n      assert %{\"error\" => \"You must include a GTFS URL\"} == json_response(conn, 400)\n    end\n\n    test \"with a valid Authorization header, invalid URL passed\", %{conn: conn} do\n      url = \"foobar\"\n\n      Shared.Validation.Validator.Mock\n      |> expect(:validate_from_url, fn ^url -> {:error, \"Not a valid URL\"} end)\n\n      %{token: token} = authorized_client()\n\n      assert %{\"error\" => \"Not a valid URL\"} ==\n               conn\n               |> put_req_header(\"authorization\", token)\n               |> get(~p\"/api/validators/gtfs-transport?url=#{url}\")\n               |> json_response(400)\n    end\n\n    test \"with a valid Authorization header, success response\", %{conn: conn} do\n      gtfs_url = \"https://example.com/gtfs.zip\"\n      validator_response = %{\"validator\" => \"response\"}\n\n      Shared.Validation.Validator.Mock\n      |> expect(:validate_from_url, fn ^gtfs_url -> {:ok, validator_response} end)\n\n      %{client: client, token: token} = authorized_client()\n\n      logs =\n        ExUnit.CaptureLog.capture_log(fn ->\n          conn =\n            conn\n            |> put_req_header(\"authorization\", token)\n            |> get(~p\"/api/validators/gtfs-transport?url=#{gtfs_url}\")\n\n          assert validator_response == json_response(conn, 200)\n        end)\n\n      assert logs =~ \"Handling GTFS validation from #{client} for #{gtfs_url}\"\n    end\n\n    @spec authorized_client() :: %{client: binary(), token: binary()}\n    defp authorized_client do\n      clients = Application.fetch_env!(:transport, :api_auth_clients)\n      [client, token] = clients |> String.split(\";\") |> hd() |> String.split(\":\")\n      %{client: client, token: token}\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/atom_controller_test.exs",
    "content": "defmodule TransportWeb.AtomControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import TransportWeb.AtomController\n  import DB.Factory\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"get recent resources for atom feed\" do\n    days = 1000\n\n    insert(:resource, title: \"10-days-old\", last_update: days_ago(10))\n    insert(:resource, title: \"today-old\", last_update: days_ago(0))\n    insert(:resource, title: \"naive-yesterday-old\", last_update: days_ago(1))\n    insert(:resource, title: \"too-old-should-not-appear\", last_update: days_ago(days * 2))\n\n    limit = days_ago(days)\n\n    resources = get_recently_updated_resources(limit)\n    titles = resources |> Enum.map(& &1.title)\n\n    assert titles == [\n             # most recent at the top, despite created after\n             \"today-old\",\n             \"naive-yesterday-old\",\n             # not too old to be filtered out\n             \"10-days-old\"\n             # very old is excluded\n           ]\n  end\n\n  test \"date format in atom feed\", %{conn: conn} do\n    %{id: dataset_id} = insert(:dataset)\n    last_update_utc = days_ago(5)\n    insert(:resource, title: \"today-old\", last_update: last_update_utc, dataset_id: dataset_id)\n\n    conn = conn |> get(atom_path(conn, :index))\n\n    doc = conn |> response(200) |> Floki.parse_document!()\n    assert {\"updated\", [], [last_update_utc |> DateTime.to_iso8601()]} == doc |> Floki.find(\"updated\") |> Enum.at(0)\n  end\n\n  test \"doc is rendered as expected\", %{conn: conn} do\n    %{id: resource_id} =\n      insert(:resource,\n        title: \"title\",\n        last_update: last_update = days_ago(5),\n        dataset: insert(:dataset, description: \"<p>Hello</p>\", organization: \"BusCorp\", custom_title: \"Custom Title\")\n      )\n\n    content = conn |> get(atom_path(conn, :index)) |> response(200)\n\n    assert content =~ ~s(<link href=\"http://127.0.0.1:5100/atom.xml\" rel=\"self\" />)\n\n    # This assertion is intense, but HEEx + XML is not great so it's a bit too much\n    # to be safe.\n    assert [\n             {:pi, \"xml\", [{\"version\", \"1.0\"}, {\"encoding\", \"utf-8\"}]},\n             {\"feed\", [{\"xmlns\", \"http://www.w3.org/2005/Atom\"}],\n              [\n                {\"title\", [], [\"transport.data.gouv.fr\"]},\n                {\"subtitle\", [], [\"Jeux de données GTFS\"]},\n                {\"link\", [{\"href\", \"http://127.0.0.1:5100/atom.xml\"}, {\"rel\", \"self\"}], []},\n                {\"id\", [], [\"tag:transport.data.gouv.fr,2019-02-27:/20190227161047181\"]},\n                {\"updated\", [], [last_update |> DateTime.to_iso8601()]},\n                {\"entry\", [],\n                 [\n                   {\"title\", [], [\"Custom Title — title\"]},\n                   {\"link\", [{\"href\", \"url\"}], []},\n                   {\"id\", [], [\"http://127.0.0.1:5100/resources/#{resource_id}\"]},\n                   {\"updated\", [], [last_update |> DateTime.to_iso8601()]},\n                   {\"summary\", [], [\"Cette ressource fait partie du jeux de données Custom Title\"]},\n                   {\"content\", [{\"type\", \"html\"}], [\"\\n        <p>\\n  Hello</p>\\n\\n      \"]},\n                   {\"author\", [], [{\"name\", [], [\"BusCorp\"]}]}\n                 ]}\n              ]}\n           ] == Floki.parse_document!(content)\n  end\n\n  def days_ago(days) when is_integer(days) and days >= 0 do\n    DateTime.utc_now() |> DateTime.add(-days, :day)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/backoffice/backoffice_controller_test.exs",
    "content": "defmodule TransportWeb.BackofficeControllerTest do\n  use Oban.Testing, repo: DB.Repo\n  use TransportWeb.ConnCase, async: false\n  use TransportWeb.ExternalCase\n  use TransportWeb.DatabaseCase, cleanup: [:datasets]\n  alias DB.{Repo, Resource}\n\n  import Mox\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Datagouvfr.Client.CommunityResources.Mock, Datagouvfr.Client.StubCommunityResources)\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n\n    # ressource.db now uses Transport.Shared.Wrapper.HTTPoison instead of HTTPoison directly\n    # we stub the mock with the real module here to keep the tests of this file unchanged.\n    Mox.stub_with(Transport.HTTPoison.Mock, HTTPoison)\n    Mox.stub_with(Shared.Validation.Validator.Mock, Shared.Validation.GtfsValidator)\n    Mox.stub_with(Transport.AvailabilityChecker.Mock, Transport.AvailabilityChecker.Dummy)\n    Mox.stub_with(Hasher.Mock, Hasher.Dummy)\n    Mox.stub_with(Datagouvfr.Authentication.Mock, Datagouvfr.Authentication.Dummy)\n    Mox.stub_with(Datagouvfr.Client.User.Mock, Datagouvfr.Client.User.Dummy)\n    Mox.stub_with(Transport.DataVisualization.Mock, Transport.DataVisualization.Impl)\n    # Using the real implementation for the moment, then it falls back on `HTTPoison.Mock`\n    Mox.stub_with(Datagouvfr.Client.Datasets.Mock, Datagouvfr.Client.Datasets.External)\n    :ok\n  end\n\n  @dataset_url \"https://demo.data.gouv.fr/fr/datasets/horaires-theoriques-du-reseau-de-transport-tag-1/\"\n  @dataset %{\n    \"url\" => @dataset_url,\n    \"custom_title\" => \"Grenoble\",\n    \"region_id\" => 1,\n    \"insee\" => \"38185\",\n    \"type\" => \"public-transit\",\n    \"action\" => \"new\"\n  }\n\n  test \"Deny access to backoffice if not logged\", %{conn: conn} do\n    conn = get(conn, backoffice_page_path(conn, :index))\n    target_uri = URI.parse(redirected_to(conn, 302))\n    assert target_uri.path == \"/login/explanation\"\n    assert target_uri.query == URI.encode_query(redirect_path: \"/backoffice\")\n    assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Vous devez être préalablement connecté\"\n  end\n\n  test \"Check that you are an admin\", %{conn: conn} do\n    contact = DB.Factory.insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    conn =\n      conn\n      |> init_test_session(%{current_user: %{\"is_admin\" => false, \"id\" => contact.datagouv_user_id}})\n      |> get(backoffice_page_path(conn, :index))\n\n    assert redirected_to(conn, 302) =~ \"/login/explanation\"\n\n    assert Phoenix.Flash.get(conn.assigns.flash, :error) =~\n             \"Vous devez être un membre de l'équipe transport.data.gouv.fr.\"\n  end\n\n  test \"Show 'add new dataset' form\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session() |> get(backoffice_page_path(conn, :index))\n    assert html_response(conn, 200) =~ \"Ajouter un jeu de données\"\n  end\n\n  test \"Add a dataset\", %{conn: conn} do\n    dataset_datagouv_id = \"12\"\n    dataset = @dataset\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, _url, _, _, _ ->\n      {:ok, %HTTPoison.Response{body: %{\"id\" => dataset_datagouv_id} |> Jason.encode!(), status_code: 200}}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn \"https://demo.data.gouv.fr/api/1/datasets/12/\", [], _ ->\n      body =\n        %{\n          \"id\" => dataset_datagouv_id,\n          \"slug\" => \"dataset-slug\",\n          \"type\" => \"public-transit\",\n          \"resources\" => [\n            %{\n              \"last_modified\" => DateTime.utc_now() |> DateTime.to_iso8601(),\n              \"url\" => \"url1\",\n              \"id\" => \"resource_datagouv_id\",\n              \"format\" => \"siri\",\n              \"type\" => \"main\"\n            }\n          ]\n        }\n        |> DB.Factory.datagouv_dataset_response()\n        |> Jason.encode!()\n\n      %HTTPoison.Response{body: body, status_code: 200}\n    end)\n\n    # we fetch 2 community resources\n    Datagouvfr.Client.CommunityResources.Mock\n    |> expect(:get, fn _dataset_id ->\n      {:ok,\n       [\n         %{\n           \"url\" => \"url2\",\n           \"last_modified\" => DateTime.utc_now() |> DateTime.to_iso8601(),\n           \"format\" => \"json\",\n           \"id\" => \"resource_datagouv_id_2\",\n           \"type\" => \"main\"\n         },\n         %{\n           \"url\" => \"url3\",\n           \"last_modified\" => DateTime.utc_now() |> DateTime.to_iso8601(),\n           \"format\" => \"csv\",\n           \"id\" => \"resource_datagouv_id_3\",\n           \"type\" => \"main\"\n         }\n       ]}\n    end)\n\n    conn = conn |> setup_admin_in_session() |> post(backoffice_dataset_path(conn, :post), %{\"form\" => dataset})\n\n    assert redirected_to(conn, 302) == backoffice_page_path(conn, :index)\n    assert Resource |> where([r], not r.is_community_resource) |> Repo.all() |> length() == 1\n    assert Resource |> where([r], r.is_community_resource) |> Repo.all() |> length() == 2\n    assert [\"Dataset ajouté\" | _] = Phoenix.Flash.get(conn.assigns.flash, :info)\n  end\n\n  test \"Add a dataset twice\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session()\n\n    resource_url = \"http://www.metromobilite.fr/data/Horaires/SEM-GTFS.zip\"\n    dataset = %{@dataset | \"region_id\" => nil}\n\n    use_cassette \"dataset/dataset_twice\" do\n      conn = post(conn, backoffice_dataset_path(conn, :post), %{\"form\" => dataset})\n      query = from(r in Resource, where: r.url == ^resource_url)\n      assert redirected_to(conn, 302) == backoffice_page_path(conn, :index)\n      assert query |> Repo.all() |> length() == 1\n\n      conn = post(conn, backoffice_dataset_path(conn, :post), %{\"form\" => dataset})\n      query = from(r in Resource, where: r.url == ^resource_url)\n      assert redirected_to(conn, 302) == backoffice_page_path(conn, :index)\n      assert query |> Repo.all() |> length() == 1\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/backoffice/broken_urls_controller_test.exs",
    "content": "defmodule TransportWeb.Backoffice.BrokenUrlsControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n  alias TransportWeb.Backoffice.BrokenUrlsController\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"denies access to dashboard if not logged\", %{conn: conn} do\n    conn = get(conn, request_path = backoffice_broken_urls_path(conn, :index))\n    target_uri = URI.parse(redirected_to(conn, 302))\n    assert target_uri.path == \"/login/explanation\"\n    assert target_uri.query == URI.encode_query(redirect_path: request_path)\n    assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Vous devez être préalablement connecté\"\n  end\n\n  test \"detects a broken URL\", %{conn: conn} do\n    dataset = insert(:dataset, custom_title: \"Dataset custom title\")\n\n    dataset_history = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history.id, payload: %{\"download_url\" => \"url1\"})\n    dataset_history_2 = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_2.id, payload: %{\"download_url\" => \"url2\"})\n\n    conn = conn |> setup_admin_in_session() |> get(backoffice_broken_urls_path(conn, :index))\n\n    res = conn |> html_response(200)\n    assert res =~ \"Détection de changements d'URLs stables\"\n    assert res =~ dataset.custom_title\n    assert res =~ \"/datasets/#{dataset.id}\"\n    assert res =~ \"url1\"\n    assert res =~ \"url2\"\n  end\n\n  test \"detects multiple broken URLs\" do\n    dataset = insert(:dataset, custom_title: \"Dataset custom title\")\n    dataset_history = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history.id, payload: %{\"download_url\" => \"url1\"})\n    dataset_history_2 = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_2.id, payload: %{\"download_url\" => \"url2\"})\n\n    dataset_2 = insert(:dataset, custom_title: \"Dataset custom title 2\")\n    dataset_history_3 = insert(:dataset_history, dataset_id: dataset_2.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_3.id, payload: %{\"download_url\" => \"url3\"})\n    dataset_history_4 = insert(:dataset_history, dataset_id: dataset_2.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_4.id, payload: %{\"download_url\" => \"url4\"})\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_4.id, payload: %{\"download_url\" => \"url5\"})\n\n    [broken_1, broken_2] = BrokenUrlsController.broken_urls()\n\n    # we show recent events first => dataset_2 comes first\n    assert %{\n             dataset_id: dataset_2.id,\n             inserted_at: dataset_history_4.inserted_at,\n             urls: [\"url4\", \"url5\"],\n             previous_urls: [\"url3\"],\n             disappeared_urls: true,\n             new_urls: true,\n             dataset_custom_title: dataset_2.custom_title\n           } == %{broken_1 | urls: broken_1.urls |> Enum.sort()}\n\n    assert %{\n             dataset_id: dataset.id,\n             inserted_at: dataset_history_2.inserted_at,\n             urls: [\"url2\"],\n             previous_urls: [\"url1\"],\n             disappeared_urls: true,\n             new_urls: true,\n             dataset_custom_title: dataset.custom_title\n           } == broken_2\n  end\n\n  test \"doesn't detect an unchanged URL\", %{conn: conn} do\n    dataset = insert(:dataset, custom_title: \"Dataset custom title\")\n\n    dataset_history = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history.id, payload: %{\"download_url\" => \"url1\"})\n    dataset_history_2 = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_2.id, payload: %{\"download_url\" => \"url1\"})\n\n    conn = conn |> setup_admin_in_session() |> get(backoffice_broken_urls_path(conn, :index))\n\n    # check we get a 200 if list is empty\n    res = conn |> html_response(200)\n    refute res =~ \"/datasets/#{dataset.id}\"\n  end\n\n  test \"doesn't detect just a new URL\" do\n    dataset = insert(:dataset, custom_title: \"Dataset custom title\")\n\n    dataset_history = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history.id, payload: %{\"download_url\" => \"url1\"})\n    dataset_history_2 = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_2.id, payload: %{\"download_url\" => \"url1\"})\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_2.id, payload: %{\"download_url\" => \"url2\"})\n\n    assert [] == BrokenUrlsController.broken_urls()\n  end\n\n  test \"doesn't detect just a deleted URL\" do\n    dataset = insert(:dataset, custom_title: \"Dataset custom title\")\n\n    dataset_history = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history.id, payload: %{\"download_url\" => \"url1\"})\n    insert(:dataset_history_resources, dataset_history_id: dataset_history.id, payload: %{\"download_url\" => \"url2\"})\n    dataset_history_2 = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_2.id, payload: %{\"download_url\" => \"url1\"})\n\n    assert [] == BrokenUrlsController.broken_urls()\n  end\n\n  test \"doesn't detect a change of order for URLs\" do\n    dataset = insert(:dataset, custom_title: \"Dataset custom title\")\n\n    dataset_history = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history.id, payload: %{\"download_url\" => \"url1\"})\n    insert(:dataset_history_resources, dataset_history_id: dataset_history.id, payload: %{\"download_url\" => \"url2\"})\n    dataset_history_2 = insert(:dataset_history, dataset_id: dataset.id)\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_2.id, payload: %{\"download_url\" => \"url2\"})\n    insert(:dataset_history_resources, dataset_history_id: dataset_history_2.id, payload: %{\"download_url\" => \"url1\"})\n\n    assert [] == BrokenUrlsController.broken_urls()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/backoffice/contact_controller_test.exs",
    "content": "defmodule TransportWeb.Backoffice.ContactControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n  alias TransportWeb.Backoffice.ContactController\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"denies access if not logged\", %{conn: conn} do\n    conn = get(conn, request_path = backoffice_contact_path(conn, :index))\n    target_uri = URI.parse(redirected_to(conn, 302))\n    assert target_uri.path == \"/login/explanation\"\n    assert target_uri.query == URI.encode_query(redirect_path: request_path)\n    assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Vous devez être préalablement connecté\"\n  end\n\n  describe \"index\" do\n    test \"search contacts\", %{conn: conn} do\n      DB.Contact.insert!(%{sample_contact_args() | last_name: \"Foo\"})\n      DB.Contact.insert!(%{sample_contact_args() | last_name: \"Bar\"})\n\n      content =\n        conn\n        |> setup_admin_in_session()\n        |> get(backoffice_contact_path(conn, :index))\n        |> html_response(200)\n\n      table_content = content |> Floki.parse_document!() |> Floki.find(\"table\") |> Floki.text()\n      assert table_content =~ \"Foo\"\n      assert table_content =~ \"Bar\"\n\n      content =\n        conn\n        |> setup_admin_in_session()\n        |> get(backoffice_contact_path(conn, :index, %{\"q\" => \"foo\"}))\n        |> html_response(200)\n\n      table_content = content |> Floki.parse_document!() |> Floki.find(\"table\") |> Floki.text()\n      assert table_content =~ \"Foo\"\n      refute table_content =~ \"Bar\"\n    end\n  end\n\n  describe \"new\" do\n    test \"loads the form\", %{conn: conn} do\n      content =\n        conn\n        |> setup_admin_in_session()\n        |> get(backoffice_contact_path(conn, :new))\n        |> html_response(200)\n\n      assert content =~ \"Créer un contact\"\n      assert [] == content |> Floki.parse_document!() |> Floki.find(\".notification\")\n    end\n\n    test \"shows errors\", %{conn: conn} do\n      content =\n        conn\n        |> setup_admin_in_session()\n        |> get(backoffice_contact_path(conn, :new, %{\"first_name\" => \"John\"}))\n        |> html_response(200)\n\n      assert content =~ \"Créer un contact\"\n      doc = content |> Floki.parse_document!()\n\n      assert [\n               {\"li\", [], [\"first_name : You need to fill either first_name and last_name OR mailing_list_title\"]},\n               {\"li\", [], [\"email : can't be blank\"]},\n               {\"li\", [], [\"creation_source : can't be blank\"]}\n             ] == Floki.find(doc, \".notification.error ul li\")\n    end\n  end\n\n  describe \"create\" do\n    test \"creates a contact\", %{conn: conn} do\n      args = %{\n        \"first_name\" => \"John\",\n        \"last_name\" => \"Doe\",\n        \"email\" => \"john@example.com\",\n        \"organization\" => \"Corp Inc\"\n      }\n\n      conn =\n        conn\n        |> setup_admin_in_session()\n        |> post(backoffice_contact_path(conn, :create, %{\"contact\" => args}))\n\n      assert redirected_to(conn, 302) == backoffice_contact_path(conn, :index)\n\n      assert %DB.Contact{\n               first_name: \"John\",\n               last_name: \"Doe\",\n               email: \"john@example.com\",\n               organization: \"Corp Inc\",\n               creation_source: :admin\n             } =\n               DB.Repo.get_by!(DB.Contact, organization: \"Corp Inc\")\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Contact mis à jour\"\n    end\n\n    test \"redirects when there are errors\", %{conn: conn} do\n      args = %{\"first_name\" => \"John\", \"last_name\" => \"Doe\"}\n\n      conn =\n        conn\n        |> setup_admin_in_session()\n        |> post(backoffice_contact_path(conn, :create, %{\"contact\" => args}))\n\n      assert redirected_to(conn, 302) == backoffice_contact_path(conn, :new) <> \"?#{URI.encode_query(args)}\"\n\n      assert DB.Contact |> DB.Repo.all() |> Enum.count() == 1\n    end\n  end\n\n  describe \"edit\" do\n    test \"can change values\", %{conn: conn} do\n      contact =\n        DB.Contact.insert!(\n          sample_contact_args(%{\n            datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n            last_login_at: ~U[2023-04-28 09:54:19.458897Z]\n          })\n        )\n\n      content =\n        conn\n        |> setup_admin_in_session()\n        |> get(backoffice_contact_path(conn, :edit, contact.id))\n        |> html_response(200)\n\n      assert content =~ \"Éditer un contact\"\n      assert content =~ contact.first_name\n      assert content =~ contact.last_name\n      assert content =~ datagouv_user_id\n      assert content =~ \"28/04/2023 à 11h54 Europe/Paris\"\n\n      args = %{\"id\" => contact.id, \"last_name\" => new_last_name = \"Bar\"}\n\n      conn =\n        conn\n        |> setup_admin_in_session()\n        |> post(backoffice_contact_path(conn, :create, %{\"contact\" => args}))\n\n      assert redirected_to(conn, 302) == backoffice_contact_path(conn, :index)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Contact mis à jour\"\n      assert %DB.Contact{last_name: ^new_last_name} = DB.Repo.reload!(contact)\n    end\n\n    test \"validates changes\", %{conn: conn} do\n      %DB.Contact{email: other_email} = DB.Contact.insert!(sample_contact_args())\n      %DB.Contact{email: email} = contact = DB.Contact.insert!(sample_contact_args())\n\n      conn =\n        conn\n        |> setup_admin_in_session()\n        |> post(backoffice_contact_path(conn, :create, %{\"contact\" => %{\"id\" => contact.id, \"email\" => other_email}}))\n\n      assert redirected_to(conn, 302) == backoffice_contact_path(conn, :index)\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) =~ \"Un contact existe déjà avec cette adresse e-mail\"\n      assert %DB.Contact{email: ^email} = DB.Repo.reload!(contact)\n    end\n\n    test \"displays notification subscriptions\", %{conn: conn} do\n      dataset = insert(:dataset, custom_title: Ecto.UUID.generate())\n      contact = DB.Contact.insert!(sample_contact_args())\n\n      insert(:notification_subscription,\n        contact_id: contact.id,\n        dataset_id: dataset.id,\n        reason: :expiration,\n        source: :admin,\n        role: :producer\n      )\n\n      insert(:notification_subscription,\n        contact_id: contact.id,\n        dataset_id: nil,\n        reason: :datasets_switching_climate_resilience_bill,\n        source: :admin,\n        role: :producer\n      )\n\n      content =\n        conn\n        |> setup_admin_in_session()\n        |> get(backoffice_contact_path(conn, :edit, contact.id))\n        |> html_response(200)\n\n      assert content =~ dataset.custom_title\n      assert content =~ \"expiration\"\n      assert content =~ \"datasets_switching_climate_resilience_bill\"\n    end\n\n    test \"displays notifications received\", %{conn: conn} do\n      %DB.Dataset{custom_title: custom_title} = dataset = insert(:dataset)\n      contact = DB.Contact.insert!(sample_contact_args())\n      other_contact = DB.Contact.insert!(sample_contact_args())\n\n      insert_notification(%{\n        contact_id: contact.id,\n        reason: :daily_new_comments,\n        role: :reuser,\n        dataset_id: nil,\n        email: contact.email,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-5, :hour)\n      })\n\n      insert_notification(%{\n        contact_id: contact.id,\n        reason: :expiration,\n        role: :reuser,\n        dataset_id: dataset.id,\n        email: contact.email\n      })\n\n      # Should be ignored: very old\n      insert_notification(%{\n        contact_id: contact.id,\n        reason: :dataset_with_error,\n        role: :reuser,\n        dataset_id: dataset.id,\n        email: contact.email,\n        inserted_at: DateTime.utc_now() |> DateTime.add(-6 * 30 - 1, :day)\n      })\n\n      # Should be ignored: sent to another contact\n      insert_notification(%{\n        contact_id: other_contact.id,\n        reason: :dataset_with_error,\n        role: :reuser,\n        dataset_id: dataset.id,\n        email: other_contact.email\n      })\n\n      content =\n        conn\n        |> setup_admin_in_session()\n        |> get(backoffice_contact_path(conn, :edit, contact.id))\n        |> html_response(200)\n        |> Floki.parse_document!()\n        |> Floki.find(\"#notifications table tr td\")\n        |> Enum.map(fn el -> el |> Floki.text() |> String.trim() end)\n\n      assert [\n               \"reuser\",\n               \"expiration\",\n               ^custom_title,\n               _,\n               # 2nd row: a platworm-wide notification\n               \"reuser\",\n               \"daily_new_comments\",\n               \"-\",\n               _\n             ] = content\n    end\n  end\n\n  test \"delete\", %{conn: conn} do\n    contact = DB.Contact.insert!(sample_contact_args())\n\n    conn =\n      conn\n      |> setup_admin_in_session()\n      |> post(backoffice_contact_path(conn, :delete, contact.id))\n\n    assert redirected_to(conn, 302) == backoffice_contact_path(conn, :index)\n    assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Le contact a été supprimé\"\n    assert is_nil(DB.Repo.reload(contact))\n  end\n\n  test \"search_datalist\" do\n    DB.Contact.insert!(sample_contact_args(%{last_name: \"Doe\", organization: \"FooBar\"}))\n    DB.Contact.insert!(sample_contact_args(%{last_name: \"Oppenheimer\", organization: \"FooBar\"}))\n\n    DB.Contact.insert!(\n      sample_contact_args(%{first_name: nil, last_name: nil, organization: \"Disney\", mailing_list_title: \"Data\"})\n    )\n\n    assert [\"Disney\", \"Doe\", \"FooBar\", \"Oppenheimer\"] == ContactController.search_datalist()\n  end\n\n  test \"datasets_datalist\" do\n    %DB.Dataset{id: active_dataset_id} = insert(:dataset, is_active: true, custom_title: \"B\")\n    %DB.Dataset{id: hidden_dataset_id} = insert(:dataset, is_active: true, is_hidden: true, custom_title: \"A\")\n    insert(:dataset, is_active: false, is_hidden: false, custom_title: \"C\")\n\n    assert [\n             %DB.Dataset{id: ^hidden_dataset_id, custom_title: \"A\", is_hidden: true},\n             %DB.Dataset{id: ^active_dataset_id, custom_title: \"B\", is_hidden: false}\n           ] = ContactController.datasets_datalist()\n  end\n\n  test \"csv_export\", %{conn: conn} do\n    organization = insert(:organization)\n    dataset = insert(:dataset, organization_id: organization.id)\n\n    contact =\n      insert_contact(%{\n        datagouv_user_id: Ecto.UUID.generate(),\n        organizations: [organization |> Map.from_struct()]\n      })\n\n    _other_contact = insert_contact()\n\n    insert(:notification_subscription,\n      reason: :dataset_with_error,\n      role: :producer,\n      contact_id: contact.id,\n      dataset_id: dataset.id,\n      source: :user\n    )\n\n    insert(:notification_subscription,\n      reason: :daily_new_comments,\n      role: :reuser,\n      contact_id: contact.id,\n      source: :user\n    )\n\n    # Check that we sent a chunked response with the expected CSV content\n    %Plug.Conn{state: :chunked} =\n      response =\n      conn\n      |> setup_admin_in_session(contact)\n      |> get(backoffice_contact_path(conn, :csv_export))\n\n    content = response(response, 200)\n\n    # Check CSV header\n    assert content |> String.split(\"\\r\\n\") |> hd() |> String.split(\",\") ==\n             \"id,first_name,last_name,mailing_list_title,email,phone_number,job_title,organization,inserted_at,updated_at,datagouv_user_id,last_login_at,creation_source,organization_names,is_producer,producer_daily_new_comments,producer_dataset_with_error,producer_expiration,producer_resource_unavailable,is_reuser,reuser_daily_new_comments,reuser_dataset_with_error,reuser_datasets_switching_climate_resilience_bill,reuser_expiration,reuser_new_dataset,reuser_resource_unavailable,reuser_resources_changed\"\n             |> String.split(\",\")\n\n    # Check CSV content\n    csv_content = [content] |> CSV.decode!(headers: true) |> Enum.to_list()\n\n    assert Enum.count(csv_content) == 2\n\n    assert [relevant, irrelevant] = csv_content\n\n    assert %{\n             \"id\" => to_string(contact.id),\n             \"first_name\" => contact.first_name,\n             \"last_name\" => contact.last_name,\n             \"mailing_list_title\" => \"\",\n             \"email\" => contact.email,\n             \"phone_number\" => contact.phone_number,\n             \"job_title\" => contact.job_title,\n             \"organization\" => contact.organization,\n             \"inserted_at\" => to_string(contact.inserted_at) |> String.trim_trailing(\"Z\"),\n             \"updated_at\" => to_string(contact.updated_at) |> String.trim_trailing(\"Z\"),\n             \"datagouv_user_id\" => contact.datagouv_user_id,\n             \"last_login_at\" => \"\",\n             \"creation_source\" => to_string(contact.creation_source),\n             \"organization_names\" => organization.name,\n             \"producer_daily_new_comments\" => \"false\",\n             \"producer_dataset_with_error\" => \"true\",\n             \"producer_expiration\" => \"false\",\n             \"producer_resource_unavailable\" => \"false\",\n             \"reuser_daily_new_comments\" => \"true\",\n             \"reuser_dataset_with_error\" => \"false\",\n             \"reuser_datasets_switching_climate_resilience_bill\" => \"false\",\n             \"reuser_expiration\" => \"false\",\n             \"reuser_new_dataset\" => \"false\",\n             \"reuser_resource_unavailable\" => \"false\",\n             \"reuser_resources_changed\" => \"false\",\n             \"is_producer\" => \"true\",\n             \"is_reuser\" => \"false\"\n           } == relevant\n\n    # `array_agg` with only null values is properly encoded\n    assert %{\"organization_names\" => \"\"} = irrelevant\n  end\n\n  defp sample_contact_args(%{} = args \\\\ %{}) do\n    Map.merge(\n      %{\n        first_name: \"John\",\n        last_name: \"Doe\",\n        email: \"john#{Ecto.UUID.generate()}@example.fr\",\n        job_title: \"Boss\",\n        organization: \"Big Corp Inc\",\n        phone_number: \"06 82 22 88 03\",\n        creation_source: \"admin\"\n      },\n      args\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/backoffice/dataset_controller_test.exs",
    "content": "defmodule TransportWeb.Backoffice.DatasetControllerTest do\n  use TransportWeb.ConnCase, async: false\n  alias TransportWeb.Router.Helpers, as: Routes\n  import DB.Factory\n  import Mox\n  import Ecto.Query\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    Ecto.Adapters.SQL.Sandbox.mode(DB.Repo, {:shared, self()})\n    # Using the real implementation for the moment, then it falls back on `HTTPoison.Mock`\n    Mox.stub_with(Datagouvfr.Client.Datasets.Mock, Datagouvfr.Client.Datasets.External)\n    :ok\n  end\n\n  test \"update a dataset custom title\", %{conn: conn} do\n    dataset = insert(:dataset, custom_title: \"title 1\", slug: slug = \"https://example.com/slug\")\n\n    set_expectations()\n\n    conn\n    |> setup_admin_in_session()\n    |> post(Routes.backoffice_dataset_path(conn, :post, dataset.id), %{\n      \"form\" => %{\n        \"custom_title\" => \"new title\",\n        \"url\" => slug,\n        \"type\" => \"public-transit\"\n      }\n    })\n\n    # the title has been updated, the dataset_id has not changed\n    assert %DB.Dataset{custom_title: \"new title\"} = DB.Repo.reload!(dataset)\n  end\n\n  test \"update a dataset slug\", %{conn: conn} do\n    dataset =\n      %{id: dataset_id} =\n      insert(:dataset,\n        is_active: false,\n        datagouv_id: Ecto.UUID.generate(),\n        custom_title: \"title\",\n        slug: \"https://example.com/slug\"\n      )\n\n    datagouv_id_2 = \"datagouv_id_2_\" <> Ecto.UUID.generate()\n    slug_2 = \"slug_2_\" <> Ecto.UUID.generate()\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, url, _, _, _ ->\n      assert url == \"https://demo.data.gouv.fr/api/1/datasets/#{slug_2}/\"\n      # the slug changes, the datagouv_id too\n      {:ok, %HTTPoison.Response{body: ~s({\"id\": \"#{datagouv_id_2}\"}), status_code: 200}}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn url, _, _ ->\n      assert \"https://demo.data.gouv.fr/api/1/datasets/#{datagouv_id_2}/\" == url\n\n      %HTTPoison.Response{\n        body: Jason.encode!(datagouv_dataset_response(%{\"id\" => datagouv_id_2, \"slug\" => slug_2, \"resources\" => []})),\n        status_code: 200\n      }\n    end)\n\n    Datagouvfr.Client.CommunityResources.Mock\n    |> expect(:get, fn _ -> {:ok, []} end)\n\n    conn\n    |> setup_admin_in_session()\n    |> post(Routes.backoffice_dataset_path(conn, :post, dataset.id), %{\n      \"form\" => %{\n        \"custom_title\" => \"title\",\n        \"url\" => \"https://example.com/#{slug_2}\",\n        \"type\" => \"public-transit\"\n      }\n    })\n\n    # the slug and datagouv_id have been updated, but the dataset_id has not changed\n    # `is_active` has been changed to `true`\n    assert %DB.Dataset{\n             id: ^dataset_id,\n             datagouv_id: ^datagouv_id_2,\n             custom_title: \"title\",\n             slug: ^slug_2,\n             is_active: true\n           } = DB.Repo.reload!(dataset)\n  end\n\n  test \"update a dataset custom tags, organization type\", %{conn: conn} do\n    dataset = insert(:dataset, slug: slug = \"slug\")\n\n    set_expectations()\n\n    conn\n    |> setup_admin_in_session()\n    |> post(Routes.backoffice_dataset_path(conn, :post, dataset.id), %{\n      \"form\" => %{\n        \"custom_title\" => \"title\",\n        \"url\" => slug,\n        \"type\" => \"public-transit\",\n        \"custom_tags[0]\" => tag1 = \"top\",\n        \"custom_tags[1]\" => tag2 = \"super\",\n        \"organization_type\" => organization_type = \"AOM\"\n      }\n    })\n\n    # the custom tags have been saved\n    assert %DB.Dataset{custom_tags: [^tag1, ^tag2], organization_type: ^organization_type} = DB.Repo.reload!(dataset)\n  end\n\n  test \"update a dataset siren and legal owners\", %{conn: conn} do\n    dataset = insert(:dataset, slug: slug = \"slug\")\n\n    aom_0 = insert(:aom)\n    aom_1 = insert(:aom)\n    region_0 = insert(:region)\n    region_1 = insert(:region)\n\n    set_expectations()\n\n    siren = \"552049447\"\n\n    conn\n    |> setup_admin_in_session()\n    |> post(Routes.backoffice_dataset_path(conn, :post, dataset.id), %{\n      \"form\" => %{\n        \"custom_title\" => \"title\",\n        \"url\" => slug,\n        \"type\" => \"public-transit\",\n        \"legal_owner_company_siren\" => siren,\n        \"legal_owners_aom[0]\" => aom_0.id |> Integer.to_string(),\n        \"legal_owners_aom[1]\" => aom_1.id |> Integer.to_string(),\n        \"legal_owners_region[0]\" => region_0.id |> Integer.to_string(),\n        \"legal_owners_region[1]\" => region_1.id |> Integer.to_string()\n      }\n    })\n\n    # the legal owners have been saved\n    assert %DB.Dataset{legal_owner_company_siren: ^siren, legal_owners_aom: aoms, legal_owners_region: regions} =\n             DB.Dataset |> preload([:legal_owners_aom, :legal_owners_region]) |> DB.Repo.get!(dataset.id)\n\n    assert aoms |> Enum.map(& &1.id) |> Enum.sort() == [aom_0.id, aom_1.id]\n    assert regions |> Enum.map(& &1.id) |> Enum.sort() == [region_0.id, region_1.id]\n  end\n\n  defp set_expectations do\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/slug/\", _, _, _ ->\n      {:ok, %HTTPoison.Response{body: ~s({\"id\": \"datagouv_id\"}), status_code: 200}}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn \"https://demo.data.gouv.fr/api/1/datasets/datagouv_id/\", _, _ ->\n      %HTTPoison.Response{\n        body: Jason.encode!(datagouv_dataset_response(%{\"resources\" => []})),\n        status_code: 200\n      }\n    end)\n\n    Datagouvfr.Client.CommunityResources.Mock\n    |> expect(:get, fn _ -> {:ok, []} end)\n  end\n\n  test \"delete a dataset\", %{conn: conn} do\n    dataset = insert(:dataset, slug: \"slug\")\n\n    resource = insert(:resource, dataset: dataset)\n\n    organization = insert(:organization)\n\n    insert_contact(%{\n      datagouv_user_id: Ecto.UUID.generate(),\n      organizations: [organization |> Map.from_struct()]\n    })\n\n    token = insert_token(%{organization_id: organization.id})\n\n    %DB.ResourceDownload{}\n    |> Ecto.Changeset.change(%{\n      time: DateTime.utc_now(),\n      resource_id: resource.id,\n      token_id: token.id\n    })\n    |> DB.Repo.insert!()\n\n    conn\n    |> setup_admin_in_session()\n    |> post(Routes.backoffice_dataset_path(conn, :delete, dataset.id), %{})\n\n    assert DB.Repo.reload(dataset) |> is_nil()\n  end\n\n  describe \"resource_related_create\" do\n    test \"creates an association between two resources\", %{conn: conn} do\n      dataset = insert(:dataset)\n      resource_src = insert(:resource, dataset: dataset)\n      resource_dst = insert(:resource, dataset: dataset)\n\n      conn =\n        conn\n        |> setup_admin_in_session()\n        |> post(Routes.backoffice_dataset_path(conn, :resource_related_create, dataset.id), %{\n          \"resource_src_id\" => to_string(resource_src.id),\n          \"resource_dst_id\" => to_string(resource_dst.id),\n          \"reason\" => \"gtfs_rt_gtfs\"\n        })\n\n      assert redirected_to(conn, 302) == backoffice_page_path(conn, :edit, dataset.id)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Les ressources ont été associées\"\n\n      assert DB.Repo.get_by(DB.ResourceRelated,\n               resource_src_id: resource_src.id,\n               resource_dst_id: resource_dst.id,\n               reason: :gtfs_rt_gtfs\n             )\n    end\n\n    test \"is idempotent when the association already exists\", %{conn: conn} do\n      dataset = insert(:dataset)\n      resource_src = insert(:resource, dataset: dataset)\n      resource_dst = insert(:resource, dataset: dataset)\n\n      insert(:resource_related,\n        resource_src: resource_src,\n        resource_dst: resource_dst,\n        reason: :manual\n      )\n\n      conn\n      |> setup_admin_in_session()\n      |> post(Routes.backoffice_dataset_path(conn, :resource_related_create, dataset.id), %{\n        \"resource_src_id\" => to_string(resource_src.id),\n        \"resource_dst_id\" => to_string(resource_dst.id),\n        \"reason\" => \"manual\"\n      })\n\n      assert DB.Repo.aggregate(DB.ResourceRelated, :count) == 1\n    end\n\n    test \"returns an error when a resource does not belong to the dataset\", %{conn: conn} do\n      dataset = insert(:dataset)\n      other_dataset = insert(:dataset)\n      resource_src = insert(:resource, dataset: dataset)\n      resource_dst = insert(:resource, dataset: other_dataset)\n\n      conn =\n        conn\n        |> setup_admin_in_session()\n        |> post(Routes.backoffice_dataset_path(conn, :resource_related_create, dataset.id), %{\n          \"resource_src_id\" => to_string(resource_src.id),\n          \"resource_dst_id\" => to_string(resource_dst.id),\n          \"reason\" => \"manual\"\n        })\n\n      assert redirected_to(conn, 302) == backoffice_page_path(conn, :edit, dataset.id)\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) =~ \"appartenir au jeu de données\"\n\n      assert DB.Repo.aggregate(DB.ResourceRelated, :count) == 0\n    end\n\n    test \"returns an error when src and dst are the same resource\", %{conn: conn} do\n      dataset = insert(:dataset)\n      resource = insert(:resource, dataset: dataset)\n\n      conn =\n        conn\n        |> setup_admin_in_session()\n        |> post(Routes.backoffice_dataset_path(conn, :resource_related_create, dataset.id), %{\n          \"resource_src_id\" => to_string(resource.id),\n          \"resource_dst_id\" => to_string(resource.id),\n          \"reason\" => \"manual\"\n        })\n\n      assert redirected_to(conn, 302) == backoffice_page_path(conn, :edit, dataset.id)\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) =~ \"différentes\"\n\n      assert DB.Repo.aggregate(DB.ResourceRelated, :count) == 0\n    end\n  end\n\n  describe \"resource_related_delete\" do\n    test \"returns an error when a resource does not belong to the dataset\", %{conn: conn} do\n      dataset = insert(:dataset)\n      other_dataset = insert(:dataset)\n      resource_src = insert(:resource, dataset: dataset)\n      resource_dst = insert(:resource, dataset: other_dataset)\n\n      insert(:resource_related, resource_src: resource_src, resource_dst: resource_dst, reason: :manual)\n\n      conn =\n        conn\n        |> setup_admin_in_session()\n        |> post(Routes.backoffice_dataset_path(conn, :resource_related_delete, dataset.id), %{\n          \"resource_src_id\" => to_string(resource_src.id),\n          \"resource_dst_id\" => to_string(resource_dst.id),\n          \"reason\" => \"manual\"\n        })\n\n      assert redirected_to(conn, 302) == backoffice_page_path(conn, :edit, dataset.id)\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) =~ \"appartenir au jeu de données\"\n\n      assert DB.Repo.aggregate(DB.ResourceRelated, :count) == 1\n    end\n\n    test \"deletes an existing association\", %{conn: conn} do\n      dataset = insert(:dataset)\n      resource_src = insert(:resource, dataset: dataset)\n      resource_dst = insert(:resource, dataset: dataset)\n\n      insert(:resource_related,\n        resource_src: resource_src,\n        resource_dst: resource_dst,\n        reason: :manual\n      )\n\n      conn =\n        conn\n        |> setup_admin_in_session()\n        |> post(Routes.backoffice_dataset_path(conn, :resource_related_delete, dataset.id), %{\n          \"resource_src_id\" => to_string(resource_src.id),\n          \"resource_dst_id\" => to_string(resource_dst.id),\n          \"reason\" => \"manual\"\n        })\n\n      assert redirected_to(conn, 302) == backoffice_page_path(conn, :edit, dataset.id)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"supprimée\"\n\n      assert DB.Repo.aggregate(DB.ResourceRelated, :count) == 0\n    end\n  end\n\n  test \"resource_format_override\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, format: \"GTFS\")\n\n    conn =\n      conn\n      |> setup_admin_in_session()\n      |> post(Routes.backoffice_dataset_path(conn, :resource_format_override, dataset.id), %{\n        \"resource_id\" => resource.id,\n        \"format_override\" => \"gbfs\"\n      })\n\n    assert redirected_to(conn, 302) == backoffice_page_path(conn, :edit, dataset.id)\n    assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Le format de la ressource a été changé\"\n\n    assert %DB.Resource{format: \"gbfs\", format_override: \"gbfs\"} = DB.Repo.reload(resource)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/backoffice/notification_subscription_controller_test.exs",
    "content": "defmodule TransportWeb.NotificationSubscriptionControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import Ecto.Query\n  import DB.Factory\n  @target_html_anchor \"#notification_subscriptions\"\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"create\" do\n    test \"for reasons related to a dataset\", %{conn: conn} do\n      %DB.Dataset{id: dataset_id} = insert(:dataset)\n      %DB.Contact{id: contact_id} = insert_contact()\n\n      args = %{\n        \"redirect_location\" => \"dataset\",\n        \"dataset_id\" => dataset_id,\n        \"contact_id\" => contact_id,\n        \"expiration\" => \"true\",\n        \"resource_unavailable\" => \"true\",\n        # Should be ignored because this is not a valid reason\n        \"ignored_notification_reason\" => \"true\",\n        # Ignored because it's set to false (happens only when manipulating requests)\n        \"dataset_with_error\" => \"false\"\n      }\n\n      conn_response =\n        conn\n        |> setup_admin_in_session()\n        |> post(backoffice_notification_subscription_path(conn, :create, args))\n\n      assert redirected_to(conn_response, 302) == backoffice_page_path(conn, :edit, dataset_id) <> @target_html_anchor\n      assert Phoenix.Flash.get(conn_response.assigns.flash, :info) =~ \"L'abonnement a été créé\"\n\n      assert [\n               %DB.NotificationSubscription{\n                 contact_id: ^contact_id,\n                 dataset_id: ^dataset_id,\n                 source: :admin,\n                 reason: :expiration\n               },\n               %DB.NotificationSubscription{\n                 contact_id: ^contact_id,\n                 dataset_id: ^dataset_id,\n                 source: :admin,\n                 reason: :resource_unavailable\n               }\n             ] = DB.NotificationSubscription |> DB.Repo.all() |> Enum.sort_by(& &1.reason)\n\n      # Sending a request again, but with a new valid reason. Should not try to create duplicates.\n      conn_response =\n        conn\n        |> setup_admin_in_session()\n        |> post(backoffice_notification_subscription_path(conn, :create, Map.put(args, \"dataset_with_error\", \"true\")))\n\n      assert redirected_to(conn_response, 302) == backoffice_page_path(conn, :edit, dataset_id) <> @target_html_anchor\n      assert Phoenix.Flash.get(conn_response.assigns.flash, :info) =~ \"L'abonnement a été créé\"\n\n      assert Enum.sort([:dataset_with_error, :expiration, :resource_unavailable]) ==\n               DB.NotificationSubscription.base_query()\n               |> select([notification_subscription: ns], ns.reason)\n               |> DB.Repo.all()\n               |> Enum.sort()\n    end\n\n    test \"for reasons not related to datasets\", %{conn: conn} do\n      %DB.Dataset{id: dataset_id} = insert(:dataset)\n      %DB.Contact{id: contact_id} = insert_contact()\n      # An existing subscription linked to a dataset\n      insert(:notification_subscription,\n        dataset_id: dataset_id,\n        source: :admin,\n        role: :producer,\n        contact_id: contact_id,\n        reason: :expiration\n      )\n\n      assert [\n               %DB.NotificationSubscription{\n                 contact_id: ^contact_id,\n                 dataset_id: ^dataset_id,\n                 source: :admin,\n                 reason: :expiration\n               }\n             ] = DB.NotificationSubscription |> DB.Repo.all()\n\n      args = %{\n        \"redirect_location\" => \"contact\",\n        \"contact_id\" => contact_id,\n        \"daily_new_comments\" => \"true\",\n        # Not a valid reason, should be ignored\n        \"foobar\" => \"true\"\n      }\n\n      conn_response =\n        conn\n        |> setup_admin_in_session()\n        |> post(backoffice_notification_subscription_path(conn, :create, args))\n\n      assert redirected_to(conn_response, 302) ==\n               backoffice_contact_path(conn, :edit, contact_id) <> @target_html_anchor\n\n      assert Phoenix.Flash.get(conn_response.assigns.flash, :info) =~ \"Abonnements mis à jour\"\n\n      assert [\n               %DB.NotificationSubscription{\n                 contact_id: ^contact_id,\n                 dataset_id: nil,\n                 source: :admin,\n                 reason: :daily_new_comments\n               },\n               %DB.NotificationSubscription{\n                 contact_id: ^contact_id,\n                 dataset_id: ^dataset_id,\n                 source: :admin,\n                 reason: :expiration\n               }\n             ] = DB.NotificationSubscription |> DB.Repo.all() |> Enum.sort_by(& &1.reason)\n    end\n  end\n\n  test \"delete\", %{conn: conn} do\n    %DB.Dataset{id: dataset_id} = insert(:dataset)\n    %DB.Contact{id: contact_id} = insert_contact()\n\n    %DB.NotificationSubscription{id: subscription_id} =\n      insert(:notification_subscription,\n        contact_id: contact_id,\n        dataset_id: dataset_id,\n        reason: :expiration,\n        source: :admin,\n        role: :producer\n      )\n\n    conn_response =\n      conn\n      |> setup_admin_in_session()\n      |> delete(backoffice_notification_subscription_path(conn, :delete, subscription_id), %{\n        \"redirect_location\" => \"dataset\"\n      })\n\n    assert redirected_to(conn_response, 302) == backoffice_page_path(conn, :edit, dataset_id) <> @target_html_anchor\n    assert Phoenix.Flash.get(conn_response.assigns.flash, :info) =~ \"L'abonnement a été supprimé\"\n\n    assert DB.NotificationSubscription |> DB.Repo.all() |> Enum.empty?()\n  end\n\n  test \"delete_for_contact_and_dataset\", %{conn: conn} do\n    %DB.Dataset{id: dataset_id} = insert(:dataset)\n    %DB.Contact{id: contact_id} = insert_contact()\n    %DB.Contact{id: other_contact_id} = insert_contact()\n\n    insert(:notification_subscription,\n      contact_id: contact_id,\n      dataset_id: dataset_id,\n      reason: :expiration,\n      source: :admin,\n      role: :producer\n    )\n\n    insert(:notification_subscription,\n      contact_id: contact_id,\n      dataset_id: dataset_id,\n      reason: :dataset_with_error,\n      source: :admin,\n      role: :producer\n    )\n\n    # A subscription, but for another contact.\n    insert(:notification_subscription,\n      contact_id: other_contact_id,\n      dataset_id: dataset_id,\n      reason: :dataset_with_error,\n      source: :admin,\n      role: :producer\n    )\n\n    conn_response =\n      conn\n      |> setup_admin_in_session()\n      |> delete(\n        backoffice_notification_subscription_path(conn, :delete_for_contact_and_dataset, contact_id, dataset_id),\n        %{\"redirect_location\" => \"dataset\"}\n      )\n\n    assert redirected_to(conn_response, 302) == backoffice_page_path(conn, :edit, dataset_id) <> @target_html_anchor\n    assert Phoenix.Flash.get(conn_response.assigns.flash, :info) =~ \"Les abonnements ont été supprimés\"\n\n    assert [\n             %DB.NotificationSubscription{\n               contact_id: ^other_contact_id,\n               dataset_id: ^dataset_id,\n               reason: :dataset_with_error,\n               source: :admin\n             }\n           ] = DB.NotificationSubscription |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/backoffice/page_controller_test.exs",
    "content": "defmodule TransportWeb.Backoffice.PageControllerTest do\n  use TransportWeb.ConnCase, async: true\n  alias TransportWeb.Backoffice.PageController\n  alias TransportWeb.Router.Helpers, as: Routes\n  import DB.Factory\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"check availability filter\" do\n    now = DateTime.utc_now()\n    # 10% downtime of 30 days is 72 hours\n    hours_ago_73 = now |> DateTime.add(-73 * 60 * 60)\n    minute_ago_1 = now |> DateTime.add(-60)\n\n    # dataset 1 : resource always available\n    %{id: dataset_id_1} = insert(:dataset)\n    insert(:resource, %{dataset_id: dataset_id_1})\n\n    # dataset 2 : 1 resource unavailable\n    %{id: dataset_id_2} = insert(:dataset)\n\n    %{id: resource_id_2_1} = insert(:resource, %{dataset_id: dataset_id_2})\n    insert(:resource, %{dataset_id: dataset_id_2})\n\n    insert(:resource_unavailability, %{resource_id: resource_id_2_1, start: hours_ago_73, end: minute_ago_1})\n\n    # dataset 3 : all resources unavailable\n    %{id: dataset_id_3} = insert(:dataset)\n\n    %{id: resource_id_3_1} = insert(:resource, %{dataset_id: dataset_id_3})\n    %{id: resource_id_3_2} = insert(:resource, %{dataset_id: dataset_id_3})\n\n    insert(:resource_unavailability, %{resource_id: resource_id_3_1, start: hours_ago_73, end: minute_ago_1})\n    insert(:resource_unavailability, %{resource_id: resource_id_3_2, start: hours_ago_73})\n\n    assert [dataset_id_2, dataset_id_3] == PageController.dataset_with_resource_under_90_availability()\n  end\n\n  test \"inactive datasets are filtered out\" do\n    now = DateTime.utc_now()\n    hours_ago_73 = now |> DateTime.add(-73 * 60 * 60)\n    minute_ago_1 = now |> DateTime.add(-60)\n\n    %{id: dataset_id} = insert(:dataset, %{is_active: false})\n    %{id: resource_id} = insert(:resource, %{dataset_id: dataset_id})\n    insert(:resource_unavailability, %{resource_id: resource_id, start: hours_ago_73, end: minute_ago_1})\n\n    assert [] == PageController.dataset_with_resource_under_90_availability()\n  end\n\n  test \"can load the dataset#new page\", %{conn: conn} do\n    conn\n    |> setup_admin_in_session()\n    |> get(Routes.backoffice_page_path(conn, :new))\n    |> html_response(200)\n  end\n\n  test \"outdated datasets filter\", %{conn: conn} do\n    insert_outdated_resource_and_friends(custom_title: \"un dataset outdated\")\n    insert_up_to_date_resource_and_friends(custom_title: \"un dataset bien à jour\")\n\n    conn1 =\n      conn\n      |> setup_admin_in_session()\n      |> get(Routes.backoffice_page_path(conn, :index))\n\n    assert html_response(conn1, 200) =~ \"un dataset outdated\"\n    assert html_response(conn1, 200) =~ \"un dataset bien à jour\"\n\n    conn2 =\n      conn\n      |> setup_admin_in_session()\n      |> get(\n        Routes.backoffice_page_path(conn, :index, %{\"filter\" => \"outdated\", \"dir\" => \"asc\", \"order_by\" => \"end_date\"})\n      )\n\n    assert html_response(conn2, 200) =~ \"un dataset outdated\"\n    refute html_response(conn2, 200) =~ \"un dataset bien à jour\"\n  end\n\n  test \"notifications config and notifications sent are displayed\", %{conn: conn} do\n    organization = insert(:organization)\n\n    dataset =\n      insert(:dataset,\n        is_active: true,\n        datagouv_id: Ecto.UUID.generate(),\n        slug: Ecto.UUID.generate(),\n        organization_id: organization.id\n      )\n\n    insert_notification(%{dataset: dataset, role: :producer, email: \"foo@example.fr\", reason: :expiration})\n    insert_notification(%{dataset: dataset, role: :producer, email: \"bar@example.fr\", reason: :expiration})\n\n    doc =\n      conn\n      |> setup_admin_in_session()\n      |> get(Routes.backoffice_page_path(conn, :edit, dataset.id))\n      |> html_response(200)\n      |> Floki.parse_document!()\n\n    assert \"bar@example.fr, foo@example.fr\" ==\n             doc |> Floki.find(\"#notifications_sent table td:nth-child(3)\") |> Floki.text()\n  end\n\n  test \"notification subscriptions\", %{conn: conn} do\n    producer = insert_contact(%{last_name: \"Dupont\"})\n    reuser = insert_contact(%{last_name: \"Dupond\"})\n\n    dataset = insert(:dataset, custom_title: \"Super JDD\")\n\n    [{producer, :producer}, {reuser, :reuser}]\n    |> Enum.each(fn {%DB.Contact{} = contact, role} ->\n      insert(:notification_subscription,\n        source: :admin,\n        role: role,\n        reason: :expiration,\n        dataset: dataset,\n        contact: contact\n      )\n\n      insert(:notification_subscription,\n        source: :admin,\n        role: role,\n        reason: :dataset_with_error,\n        dataset: dataset,\n        contact: contact\n      )\n    end)\n\n    doc =\n      conn\n      |> setup_admin_in_session()\n      |> get(Routes.backoffice_page_path(conn, :edit, dataset.id))\n      |> html_response(200)\n      |> Floki.parse_document!()\n\n    text_for_cell = fn row, cell ->\n      doc |> Floki.find(\"#existing_subscriptions_table tr:nth-child(#{row}) td:nth-child(#{cell})\") |> Floki.text()\n    end\n\n    assert text_for_cell.(2, 1) =~ \"Dupont\"\n    assert text_for_cell.(2, 2) =~ \"dataset_with_error\"\n    assert text_for_cell.(2, 3) =~ \"admin\"\n    assert text_for_cell.(3, 1) =~ \"expiration\"\n    assert text_for_cell.(3, 2) =~ \"admin\"\n\n    assert doc |> Floki.find(\"#reuser_subscriptions\") |> Floki.text() |> String.replace(~r/(\\s)+/, \" \") =~\n             \"Ainsi que 2 abonnements de 1 réutilisateur.\"\n  end\n\n  test \"can edit a dataset, even when it's not active\", %{conn: conn} do\n    dataset = insert(:dataset, is_active: false)\n\n    doc =\n      conn\n      |> setup_admin_in_session()\n      |> get(Routes.backoffice_page_path(conn, :edit, dataset.id))\n      |> html_response(200)\n      |> Floki.parse_document!()\n\n    assert doc |> Floki.find(\".notification.warning\") |> Floki.text() =~\n             \"Ce jeu de données a été supprimé de data.gouv.fr\"\n  end\n\n  test \"notifications_sent sort order and grouping works\" do\n    dataset = insert(:dataset, is_active: true, datagouv_id: Ecto.UUID.generate(), slug: Ecto.UUID.generate())\n\n    now = DateTime.utc_now()\n    five_hours_ago = DateTime.add(now, -5, :hour)\n\n    insert_notification_at_datetime(\n      %{dataset: dataset, role: :producer, email: \"foo@example.fr\", reason: :expiration},\n      now\n    )\n\n    insert_notification_at_datetime(\n      %{dataset: dataset, role: :producer, email: \"bar@example.fr\", reason: :expiration},\n      now\n    )\n\n    insert_notification_at_datetime(\n      %{dataset: dataset, role: :producer, email: \"bar@example.fr\", reason: :expiration},\n      five_hours_ago\n    )\n\n    insert_notification_at_datetime(\n      %{dataset: dataset, role: :producer, email: \"baz@example.fr\", reason: :expiration},\n      five_hours_ago\n    )\n\n    now_truncated = %{DateTime.truncate(now, :second) | second: 0}\n    five_hours_ago_truncated = %{DateTime.truncate(five_hours_ago, :second) | second: 0}\n\n    assert [\n             {{:expiration, ^now_truncated}, emails_1},\n             {{:expiration, ^five_hours_ago_truncated}, emails_2}\n           ] = PageController.notifications_sent(dataset)\n\n    assert emails_1 |> Enum.sort() == [\"bar@example.fr\", \"foo@example.fr\"]\n    assert emails_2 |> Enum.sort() == [\"bar@example.fr\", \"baz@example.fr\"]\n  end\n\n  test \"can download the datasets CSV\", %{conn: conn} do\n    # Being an admin is not enough\n    assert %URI{path: \"/login/explanation\"} =\n             conn\n             |> setup_admin_in_session()\n             |> get(Routes.backoffice_page_path(conn, :download_datasets_csv))\n             |> redirected_to(302)\n             |> URI.parse()\n\n    # Can download the CSV if you provide the secret key in the URL\n    assert \"fake_export_secret_key\" == Application.fetch_env!(:transport, :export_secret_key)\n\n    response =\n      conn\n      |> get(Routes.backoffice_page_path(conn, :download_datasets_csv), %{\"export_key\" => \"fake_export_secret_key\"})\n\n    assert response(response, 200)\n    assert response_content_type(response, :csv) == \"text/csv; charset=utf-8\"\n\n    assert Plug.Conn.get_resp_header(response, \"content-disposition\") == [\n             ~s(attachment; filename=\"datasets-#{Date.utc_today() |> Date.to_iso8601()}.csv\")\n           ]\n  end\n\n  test \"can download the resources CSV\", %{conn: conn} do\n    # Being an admin is not enough\n    assert %URI{path: \"/login/explanation\"} =\n             conn\n             |> setup_admin_in_session()\n             |> get(Routes.backoffice_page_path(conn, :download_resources_csv))\n             |> redirected_to(302)\n             |> URI.parse()\n\n    # Can download the CSV if you provide the secret key in the URL\n    assert \"fake_export_secret_key\" == Application.fetch_env!(:transport, :export_secret_key)\n\n    response =\n      conn\n      |> get(Routes.backoffice_page_path(conn, :download_resources_csv), %{\"export_key\" => \"fake_export_secret_key\"})\n\n    assert response(response, 200)\n    assert response_content_type(response, :csv) == \"text/csv; charset=utf-8\"\n\n    assert Plug.Conn.get_resp_header(response, \"content-disposition\") == [\n             ~s(attachment; filename=\"ressources-#{Date.utc_today() |> Date.to_iso8601()}.csv\")\n           ]\n  end\n\n  describe \"contacts_in_org\" do\n    test \"dataset is nil\" do\n      assert [] == PageController.contacts_in_org(nil)\n    end\n\n    test \"with contacts\" do\n      organization = insert(:organization)\n      dataset = insert(:dataset, organization_id: organization.id)\n      %DB.Contact{id: contact_id} = insert_contact(%{organizations: [organization |> Map.from_struct()]})\n\n      assert [%DB.Contact{id: ^contact_id}] =\n               PageController.contacts_in_org(dataset |> DB.Repo.preload(organization_object: :contacts))\n    end\n  end\n\n  describe \"subscriptions_by_producer\" do\n    test \"ignore reusers\" do\n      producer_1 = insert_contact(%{last_name: \"Dupont\"})\n      producer_2 = insert_contact(%{last_name: \"Loiseau\"})\n\n      admin_producer =\n        insert_contact(%{\n          last_name: \"Castafiore\",\n          organizations: [sample_org(%{\"name\" => \"Point d'Accès National transport.data.gouv.fr\"})]\n        })\n\n      reuser = insert_contact(%{last_name: \"Dupond\"})\n\n      dataset = insert(:dataset, custom_title: \"Super JDD\")\n\n      [{producer_1, :producer}, {producer_2, :producer}, {reuser, :reuser}, {admin_producer, :producer}]\n      |> Enum.each(fn {%DB.Contact{} = contact, role} ->\n        insert(:notification_subscription,\n          source: :admin,\n          role: role,\n          reason: :expiration,\n          dataset: dataset,\n          contact: contact\n        )\n\n        insert(:notification_subscription,\n          source: :admin,\n          role: role,\n          reason: :dataset_with_error,\n          dataset: dataset,\n          contact: contact\n        )\n      end)\n\n      dataset = PageController.load_dataset(dataset.id)\n\n      subscriptions_by_producer = PageController.subscriptions_by_producer(dataset)\n\n      contacts =\n        subscriptions_by_producer\n        |> Enum.map(fn {contact, _} -> contact end)\n\n      # contact are sorted by last name & reason, and restricted to producers\n      assert Enum.map(contacts, & &1.id) == [admin_producer.id, producer_1.id, producer_2.id]\n\n      assert Enum.all?(subscriptions_by_producer, fn {_, subscriptions} ->\n               Enum.map(subscriptions, & &1.reason) == [:dataset_with_error, :expiration]\n             end)\n    end\n  end\n\n  describe \"clear_proxy_config\" do\n    test \"requires auth\", %{conn: conn} do\n      assert conn\n             |> post(Routes.backoffice_page_path(conn, :clear_proxy_config))\n             |> text_response(401) == \"Unauthorized\"\n    end\n\n    test \"success case\", %{conn: conn} do\n      Unlock.Config.Fetcher.Mock\n      |> expect(:clear_config_cache!, fn -> :ok end)\n\n      assert \"fake_proxy_config_secret_key\" == Application.fetch_env!(:transport, :proxy_config_secret_key)\n\n      assert conn\n             |> put_req_header(\"x-key\", \"fake_proxy_config_secret_key\")\n             |> put_private(:plug_skip_csrf_protection, false)\n             |> post(Routes.backoffice_page_path(conn, :clear_proxy_config))\n             |> text_response(200) == \"OK\"\n    end\n  end\n\n  defp sample_org(%{} = args) do\n    Map.merge(\n      %{\n        \"acronym\" => nil,\n        \"badges\" => [],\n        \"id\" => Ecto.UUID.generate(),\n        \"logo\" => \"https://example.com/original.png\",\n        \"logo_thumbnail\" => \"https://example.com/100.png\",\n        \"name\" => \"Big Corp\",\n        \"slug\" => \"foo\" <> Ecto.UUID.generate()\n      },\n      args\n    )\n  end\n\n  defp insert_notification_at_datetime(%{} = args, %DateTime{} = datetime) do\n    args\n    |> insert_notification()\n    |> Ecto.Changeset.change(%{inserted_at: datetime})\n    |> DB.Repo.update!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/breaking_news_controller_test.exs",
    "content": "defmodule TransportWeb.BreakingNewsControllerTest do\n  use TransportWeb.ConnCase, async: true\n  use TransportWeb.DatabaseCase, cleanup: []\n\n  describe \"breaking news home message\" do\n    test \"no flash message by default\", %{conn: conn} do\n      conn = conn |> get(page_path(conn, :index))\n\n      doc = conn |> html_response(200) |> Floki.parse_document!()\n      assert [] == Floki.find(doc, \".notification\")\n    end\n\n    test \"security : cannot update message if not admin\", %{conn: conn} do\n      conn =\n        conn\n        |> post(backoffice_breaking_news_path(conn, :update_breaking_news, %{level: \"info\", msg: \"coucou\"}))\n\n      assert html_response(conn, 302)\n    end\n\n    test \"update a message, check it is displayed on home, delete it\", %{conn: conn} do\n      message = \"coucou message **alerte**\"\n      expected_message = \"coucou message <strong>alerte</strong>\"\n\n      levels = Ecto.Enum.values(DB.BreakingNews, :level)\n\n      Enum.each(levels, fn level ->\n        # set the message\n        conn\n        |> setup_admin_in_session()\n        |> post(backoffice_breaking_news_path(conn, :update_breaking_news, %{level: level, msg: message}))\n        |> html_response(200)\n\n        response = conn |> get(page_path(conn, :index)) |> html_response(200)\n\n        # message is displayed on home page and Markdown is rendered\n        assert response =~ expected_message\n      end)\n\n      # set an empty message\n      conn\n      |> setup_admin_in_session()\n      |> post(backoffice_breaking_news_path(conn, :update_breaking_news, %{level: hd(levels), msg: \"\"}))\n      |> html_response(200)\n\n      assert DB.BreakingNews |> DB.Repo.all() |> Enum.empty?()\n\n      conn_client = conn |> get(page_path(conn, :index))\n\n      # Message has been removed on the home page\n      doc = conn_client |> html_response(200) |> Floki.parse_document!()\n      refute html_response(conn_client, 200) =~ expected_message\n      assert [] == Floki.find(doc, \".notification\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/contact_controller_test.exs",
    "content": "defmodule TransportWeb.ContactControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import Swoosh.TestAssertions\n\n  setup do\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  test \"Post contact form with honey pot filled\", %{conn: conn} do\n    conn = post(conn, contact_path(conn, :send_mail, %{email: \"spammer@internet.com\", name: \"John Doe\"}))\n    # only spammers get a fox emoji in their flash message\n    assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"🦊\"\n\n    assert_no_email_sent()\n  end\n\n  test \"Post contact form without honey pot\", %{conn: conn} do\n    conn =\n      conn\n      |> post(\n        contact_path(conn, :send_mail, %{\n          email: \"human@user.fr\",\n          user_type: \"data-reuser\",\n          question_type: \"other\",\n          subject: \"dataset\",\n          question: \"where is my dataset?\"\n        })\n      )\n\n    refute Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"🦊\"\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"PAN, Formulaire Contact\", \"contact@transport.data.gouv.fr\"},\n                           to: [{\"\", \"contact@transport.data.gouv.fr\"}],\n                           subject: \"dataset\",\n                           text_body: nil,\n                           html_body: html,\n                           reply_to: {\"\", \"human@user.fr\"}\n                         } ->\n      assert html =~ \"where is my dataset?\"\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/conversion_controller_test.exs",
    "content": "defmodule TransportWeb.ConversionControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n  alias TransportWeb.ConversionController\n  doctest ConversionController, import: true\n\n  setup do\n    setup_telemetry_handler()\n    # See https://elixirforum.com/t/dbconnection-ownershiperror-cannot-find-ownership-process-for-pid-0-xxx-0/41373/3\n    # and https://github.com/etalab/transport-site/issues/3434\n    pid = Ecto.Adapters.SQL.Sandbox.start_owner!(DB.Repo)\n    on_exit(fn -> Ecto.Adapters.SQL.Sandbox.stop_owner(pid) end)\n  end\n\n  describe \"get\" do\n    test \"when the resource does not exist\", %{conn: conn} do\n      assert conn |> get(conversion_path(conn, :get, 42, \"GeoJSON\")) |> text_response(404) == \"Conversion not found.\"\n    end\n\n    test \"when the conversion format does not exist\", %{conn: conn} do\n      assert conn |> get(conversion_path(conn, :get, 42, \"foo\")) |> text_response(404) ==\n               \"Conversion not found. `foo` is not a possible value.\"\n    end\n\n    test \"when the resource exists but there are no conversions\", %{conn: conn} do\n      resource = insert(:resource)\n\n      assert conn |> get(conversion_path(conn, :get, resource.id, \"GeoJSON\")) |> text_response(404) ==\n               \"Conversion not found.\"\n    end\n\n    test \"with an existing conversion\", %{conn: conn} do\n      resource = insert(:resource, format: \"GTFS\")\n\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: %{\"uuid\" => uuid1 = Ecto.UUID.generate()},\n        last_up_to_date_at: last_up_to_date_at = DateTime.utc_now()\n      )\n\n      insert(:data_conversion,\n        resource_history_uuid: uuid1,\n        convert_from: \"GTFS\",\n        convert_to: \"GeoJSON\",\n        converter: DB.DataConversion.converter_to_use(\"GTFS\", \"GeoJSON\"),\n        payload: %{\"permanent_url\" => permanent_url = \"https://example.com/url1\", \"filesize\" => 42}\n      )\n\n      # Relevant headers are sent and we return a redirect response\n      conn_redirected = conn |> get(conversion_path(conn, :get, resource.id, \"GeoJSON\"))\n\n      assert [\n               {\"cache-control\", \"public, max-age=300\"},\n               {\"etag\", ConversionController.md5_hash(permanent_url)},\n               {\"x-last-up-to-date-at\", last_up_to_date_at |> DateTime.to_iso8601()},\n               {\"x-robots-tag\", \"noindex\"}\n             ] ==\n               conn_redirected.resp_headers\n               |> Enum.filter(fn {k, _} -> k in [\"cache-control\", \"etag\", \"x-last-up-to-date-at\", \"x-robots-tag\"] end)\n               |> Enum.sort_by(fn {k, _} -> k end, :asc)\n\n      assert redirected_to(conn_redirected, 302) == permanent_url\n\n      # A request is recorded in the `metrics` table, with a `period` at the day level\n      target = \"resource_id:#{resource.id}\"\n      period = %{DateTime.truncate(DateTime.utc_now(), :second) | second: 0, minute: 0, hour: 0}\n      assert_received {:telemetry_event, [:conversions, :get, :GeoJSON], %{}, %{target: ^target}}\n\n      # Need to wait a few milliseconds because the real telemetry handler\n      # writes rows in the database asynchronously.\n      # NOTE: to be improved in the future\n      Process.sleep(100)\n\n      assert [%DB.Metrics{target: ^target, event: \"conversions:get:GeoJSON\", period: ^period, count: 1}] =\n               DB.Metrics |> DB.Repo.all()\n    end\n  end\n\n  defp setup_telemetry_handler do\n    # inspired by https://github.com/dashbitco/broadway/blob/main/test/broadway_test.exs\n    :telemetry.attach_many(\n      \"test-handler-#{System.unique_integer()}\",\n      Transport.Telemetry.conversions_get_event_names(),\n      fn name, measurements, metadata, _ ->\n        send(self(), {:telemetry_event, name, measurements, metadata})\n      end,\n      nil\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/dataset_controller_test.exs",
    "content": "defmodule TransportWeb.DatasetControllerTest do\n  use TransportWeb.ConnCase, async: false\n  use TransportWeb.ExternalCase\n  use TransportWeb.DatabaseCase, cleanup: [:datasets]\n  import DB.Factory\n  import ExUnit.CaptureLog\n\n  import Mock\n  import Mox\n\n  @pan_org_id \"5abca8d588ee386ee6ece479\"\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Datagouvfr.Client.Reuses.Mock, Datagouvfr.Client.Reuses)\n    Mox.stub_with(Datagouvfr.Client.Discussions.Mock, Datagouvfr.Client.Discussions)\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    Mox.stub_with(Datagouvfr.Client.Datasets.Mock, Datagouvfr.Client.Datasets.External)\n    :ok\n  end\n\n  doctest TransportWeb.DatasetController\n\n  test \"GET /\", %{conn: conn} do\n    conn = conn |> get(dataset_path(conn, :index))\n    assert html_response(conn, 200) =~ \"Jeux de données\"\n  end\n\n  test \"dataset details with a documentation resource\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, type: \"documentation\", url: \"https://example.com\", dataset: dataset)\n\n    dataset = dataset |> DB.Repo.preload(:resources)\n\n    assert DB.Resource.documentation?(resource)\n    assert Enum.empty?(TransportWeb.DatasetView.other_official_resources(dataset))\n    assert 1 == Enum.count(TransportWeb.DatasetView.official_documentation_resources(dataset))\n\n    mock_empty_history_resources()\n\n    with_mocks [\n      {Datagouvfr.Client.Reuses, [], [get: fn _dataset -> {:ok, []} end]},\n      {Datagouvfr.Client.Discussions, [], [get: fn _id -> nil end]}\n    ] do\n      html_response = conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200)\n      assert html_response =~ \"Documentation\"\n      refute html_response =~ \"Conversions automatiques\"\n    end\n  end\n\n  test \"the search custom message gets displayed\", %{conn: conn} do\n    conn = conn |> get(dataset_path(conn, :index, type: \"public-transit\"))\n    html = html_response(conn, 200)\n    doc = Floki.parse_document!(html)\n    [msg] = Floki.find(doc, \"#custom-message\")\n    # extract from the category \"public-transit\" fr message :\n    assert(Floki.text(msg) =~ \"Les jeux de données référencés dans cette catégorie\")\n  end\n\n  test \"the search custom message is not displayed\", %{conn: conn} do\n    conn = conn |> get(dataset_path(conn, :index, type: \"inexistant\"))\n    html = html_response(conn, 200)\n    doc = Floki.parse_document!(html)\n    assert [] == Floki.find(doc, \"#custom-message\")\n  end\n\n  test \"custom logo is displayed\", %{conn: conn} do\n    dataset =\n      insert(:dataset,\n        type: \"public-transit\",\n        is_active: true,\n        custom_title: custom_title = \"Super JDD\",\n        custom_logo: custom_logo = \"https://example.com/logo_#{Ecto.UUID.generate()}.png\"\n      )\n\n    assert DB.Dataset.logo(dataset) == custom_logo\n\n    Transport.DatasetIndex.refresh()\n\n    assert [\n             {\"div\", [{\"class\", \"dataset__image\"}, {\"data-provider\", _}],\n              [{\"img\", [{\"alt\", ^custom_title}, {\"src\", ^custom_logo}], []}]}\n           ] =\n             conn\n             |> get(dataset_path(conn, :index))\n             |> html_response(200)\n             |> Floki.parse_document!()\n             |> Floki.find(\".dataset__image\")\n  end\n\n  describe \"heart icons\" do\n    test \"not displayed when logged out\", %{conn: conn} do\n      insert(:dataset, type: \"public-transit\", is_active: true)\n      Transport.DatasetIndex.refresh()\n\n      assert [\n               {\"div\", [{\"class\", \"dataset__type\"}],\n                [{\"img\", [{\"alt\", \"public-transit\"}, {\"src\", \"/images/icons/bus.svg\"}], []}]}\n             ] =\n               conn\n               |> get(dataset_path(conn, :index))\n               |> html_response(200)\n               |> Floki.parse_document!()\n               |> Floki.find(\".dataset__type\")\n    end\n\n    test \"non admin\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n\n      insert(:dataset, custom_title: \"A\")\n      followed_dataset = insert(:dataset, custom_title: \"B\")\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: followed_dataset.id)\n      Transport.DatasetIndex.refresh()\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n      document =\n        conn\n        |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id, \"is_admin\" => false}})\n        |> get(dataset_path(conn, :index))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert [\"A\", \"B\"] == dataset_titles(document)\n\n      assert [\n               {\"i\", [{\"class\", \"fa fa-heart\"}], []},\n               {\"i\", [{\"class\", \"fa fa-heart following\"}], []}\n             ] == Floki.find(document, \".dataset__type i.fa-heart\")\n    end\n\n    test \"admin: displayed accordingly for producer, following and nothing\", %{conn: conn} do\n      organization = insert(:organization)\n\n      contact =\n        insert_contact(%{\n          datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n          organizations: [organization |> Map.from_struct()]\n        })\n\n      insert(:dataset, organization_id: organization.id, custom_title: \"A\")\n      followed_dataset = insert(:dataset, custom_title: \"B\")\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: followed_dataset.id)\n      insert(:dataset, custom_title: \"C\")\n      Transport.DatasetIndex.refresh()\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n      document =\n        conn\n        |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id, \"is_admin\" => true}})\n        |> get(dataset_path(conn, :index))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert [\"A\", \"B\", \"C\"] == dataset_titles(document)\n\n      assert [\n               {\"i\", [{\"class\", \"fa fa-heart producer\"}], []},\n               {\"i\", [{\"class\", \"fa fa-heart following\"}], []},\n               {\"i\", [{\"class\", \"fa fa-heart\"}], []}\n             ] =\n               Floki.find(document, \".dataset__type i.fa-heart\")\n    end\n  end\n\n  describe \"header links\" do\n    test \"logged out\", %{conn: conn} do\n      mock_empty_history_resources()\n\n      dataset = insert(:dataset)\n\n      assert [\n               {\"a\",\n                [\n                  {\"href\", page_path(conn, :infos_reutilisateurs, utm_campaign: \"dataset_details\")},\n                  {\"target\", \"_blank\"}\n                ], [\"Espace réutilisateur\"]}\n             ] ==\n               conn\n               |> init_test_session(%{force_display_reuser_space: true})\n               |> dataset_header_links(dataset)\n    end\n\n    test \"logged-in, producer\", %{conn: conn} do\n      mock_empty_history_resources()\n      organization = insert(:organization)\n\n      insert_contact(%{\n        datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n        organizations: [organization |> Map.from_struct()]\n      })\n\n      dataset = insert(:dataset, organization_id: organization.id)\n\n      assert [\n               {\"a\",\n                [\n                  {\"href\", espace_producteur_path(conn, :edit_dataset, dataset.id, utm_campaign: \"dataset_details\")},\n                  {\"target\", \"_blank\"}\n                ], [\"Espace producteur\"]}\n             ] ==\n               conn\n               |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n               |> dataset_header_links(dataset)\n    end\n\n    test \"logged-in, follows the dataset\", %{conn: conn} do\n      mock_empty_history_resources()\n      contact = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n      dataset = insert(:dataset)\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset.id, source: :follow_button)\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n      assert [\n               {\"a\",\n                [\n                  {\"href\", reuser_space_path(conn, :datasets_edit, dataset.id, utm_campaign: \"dataset_details\")},\n                  {\"target\", \"_blank\"}\n                ], [\"Espace réutilisateur\"]}\n             ] ==\n               conn\n               |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n               |> dataset_header_links(dataset)\n    end\n\n    test \"logged-in, does not follow the dataset\", %{conn: conn} do\n      mock_empty_history_resources()\n      insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n      dataset = insert(:dataset)\n\n      assert [\n               {\"a\",\n                [\n                  {\"href\", reuser_space_path(conn, :espace_reutilisateur, utm_campaign: \"dataset_details\")},\n                  {\"target\", \"_blank\"}\n                ], [\"Espace réutilisateur\"]}\n             ] ==\n               conn\n               |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n               |> dataset_header_links(dataset)\n    end\n\n    test \"for an admin, producer\", %{conn: conn} do\n      mock_empty_history_resources()\n      organization = insert(:organization)\n\n      insert_contact(%{\n        datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n        organizations: [organization |> Map.from_struct()]\n      })\n\n      dataset = insert(:dataset, organization_id: organization.id)\n\n      assert [\n               {\"a\", [{\"href\", backoffice_page_path(conn, :edit, dataset.id)}], [\"Backoffice\"]},\n               {\"a\",\n                [\n                  {\"href\", espace_producteur_path(conn, :edit_dataset, dataset.id, utm_campaign: \"dataset_details\")},\n                  {\"target\", \"_blank\"}\n                ], [\"Espace producteur\"]}\n             ] ==\n               conn\n               |> init_test_session(%{\n                 current_user: %{\"id\" => datagouv_user_id, \"is_admin\" => true}\n               })\n               |> dataset_header_links(dataset)\n    end\n  end\n\n  test \"dataset_heart_values\" do\n    organization = insert(:organization)\n\n    contact =\n      insert_contact(%{\n        datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n        organizations: [organization |> Map.from_struct()]\n      })\n\n    producer_dataset = insert(:dataset, organization_id: organization.id)\n    insert(:dataset_follower, contact_id: contact.id, dataset: followed_dataset = insert(:dataset))\n    nothing_dataset = insert(:dataset)\n\n    datasets = DB.Repo.all(DB.Dataset)\n\n    assert %{\n             producer_dataset.id => :producer,\n             followed_dataset.id => :following,\n             nothing_dataset.id => nil\n           } == TransportWeb.DatasetController.dataset_heart_values(%{\"id\" => datagouv_user_id}, datasets)\n  end\n\n  test \"has_validity_period?\" do\n    assert TransportWeb.DatasetView.has_validity_period?(%DB.ResourceHistory{\n             validations: [\n               %{metadata: %DB.ResourceMetadata{metadata: %{\"start_date\" => \"2022-02-17\", \"end_date\" => \"2023-02-17\"}}}\n             ]\n           })\n\n    # end_date is missing\n    refute TransportWeb.DatasetView.has_validity_period?(%DB.ResourceHistory{\n             validations: [%{metadata: %DB.ResourceMetadata{metadata: %{\"start_date\" => \"2022-02-17\"}}}]\n           })\n\n    refute TransportWeb.DatasetView.has_validity_period?(%DB.ResourceHistory{\n             validations: [%{metadata: %DB.ResourceMetadata{metadata: %{\"start_date\" => nil}}}]\n           })\n\n    refute TransportWeb.DatasetView.has_validity_period?(%DB.ResourceHistory{})\n  end\n\n  test \"show GTFS number of errors\", %{conn: conn} do\n    dataset = insert(:dataset)\n\n    resource = insert(:resource, dataset: dataset, format: \"GTFS\", url: \"url\")\n\n    resource_history = insert(:resource_history, resource: resource)\n\n    result = %{\"Slow\" => [%{\"severity\" => \"Information\"}]}\n    digest = Transport.Validators.GTFSTransport.digest(result)\n\n    insert(:multi_validation,\n      resource_history_id: resource_history.id,\n      validator: Transport.Validators.GTFSTransport.validator_name(),\n      result: result,\n      digest: digest,\n      metadata: %DB.ResourceMetadata{metadata: %{}, modes: [\"ferry\", \"bus\"]}\n    )\n\n    mock_empty_history_resources()\n\n    conn = conn |> get(dataset_path(conn, :details, dataset.slug))\n    assert conn |> html_response(200) |> extract_resource_details() =~ \"1 information\"\n    # Dataset modes are not displayed\n    refute conn |> html_response(200) |> extract_resource_details() =~ \"ferry\"\n  end\n\n  test \"show number of errors for a GBFS\", %{conn: conn} do\n    dataset = insert(:dataset, slug: \"dataset-slug\")\n\n    resource = insert(:resource, dataset_id: dataset.id, format: \"gbfs\", url: \"url\")\n\n    %{id: resource_history_id} = insert(:resource_history, resource_id: resource.id)\n\n    result = %{\"errors_count\" => 1}\n    digest = Transport.Validators.GBFSValidator.digest(result)\n\n    insert(:multi_validation,\n      resource_history_id: resource_history_id,\n      validator: Transport.Validators.GBFSValidator.validator_name(),\n      result: result,\n      digest: digest,\n      metadata: %DB.ResourceMetadata{metadata: %{\"versions\" => nil, \"ttl\" => 60}}\n    )\n\n    mock_empty_history_resources()\n\n    content = conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200)\n\n    assert content |> extract_resource_details() =~ \"1 erreur\"\n    assert content |> extract_resource_details() =~ \"60s\"\n  end\n\n  test \"show number of errors when validated with the MobilityData validator\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, format: \"GTFS\")\n    resource_history = insert(:resource_history, resource_id: resource.id)\n\n    result = %{\n      \"notices\" => [\n        %{\n          \"code\" => \"unusable_trip\",\n          \"sampleNotices\" => [%{\"foo\" => \"bar\"}],\n          \"severity\" => \"ERROR\",\n          \"totalNotices\" => 1\n        }\n      ],\n      \"summary\" => %{\"validatorVersion\" => \"4.2.0\"}\n    }\n\n    insert(:multi_validation,\n      resource_history: resource_history,\n      validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n      result: result,\n      digest: Transport.Validators.MobilityDataGTFSValidator.digest(result),\n      metadata: %DB.ResourceMetadata{\n        metadata: %{\"start_date\" => \"2025-12-01\", \"end_date\" => \"2025-12-31\"},\n        features: [\"Bike Allowed\"]\n      }\n    )\n\n    mock_empty_history_resources()\n\n    content =\n      conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200) |> extract_resource_details()\n\n    assert content =~ \"1 erreur\"\n    assert content =~ \"01/12/2025\"\n    assert content =~ \"31/12/2025\"\n    assert content =~ \"Périmé\"\n  end\n\n  test \"displays no error when validated with the MobilityData validator\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, format: \"GTFS\")\n    resource_history = insert(:resource_history, resource_id: resource.id)\n\n    result = %{\"notices\" => []}\n\n    insert(:multi_validation,\n      resource_history: resource_history,\n      validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n      result: result,\n      digest: Transport.Validators.MobilityDataGTFSValidator.digest(result[\"notices\"])\n    )\n\n    mock_empty_history_resources()\n\n    conn = conn |> get(dataset_path(conn, :details, dataset.slug))\n\n    assert conn |> html_response(200) |> extract_resource_details() =~ \"Pas d'erreur\"\n  end\n\n  test \"displays MobilityData if validated by both GTFS validators\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, format: \"GTFS\")\n    resource_history = insert(:resource_history, resource_id: resource.id)\n\n    result = %{\"Slow\" => [%{\"severity\" => \"Information\"}]}\n\n    insert(:multi_validation,\n      resource_history: resource_history,\n      validator: Transport.Validators.GTFSTransport.validator_name(),\n      result: result,\n      digest: Transport.Validators.GTFSTransport.digest(result),\n      metadata: %DB.ResourceMetadata{metadata: %{}, modes: [\"ferry\", \"bus\"]}\n    )\n\n    result = %{\n      \"notices\" => [\n        %{\n          \"code\" => \"unusable_trip\",\n          \"sampleNotices\" => [%{\"foo\" => \"bar\"}],\n          \"severity\" => \"ERROR\",\n          \"totalNotices\" => 1\n        }\n      ],\n      \"summary\" => %{\"validatorVersion\" => \"4.2.0\"}\n    }\n\n    insert(:multi_validation,\n      resource_history: resource_history,\n      validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n      result: result,\n      digest: Transport.Validators.MobilityDataGTFSValidator.digest(result)\n    )\n\n    mock_empty_history_resources()\n\n    conn = conn |> get(dataset_path(conn, :details, dataset.slug))\n\n    assert conn |> html_response(200) |> extract_resource_details() =~ \"1 erreur\"\n  end\n\n  test \"GTFS-Flex validation with the MobilityData validator, with empty dates\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, format: \"GTFS\", dataset: dataset)\n\n    rh =\n      insert(:resource_history,\n        resource: resource,\n        payload: %{\n          \"format\" => \"GTFS\",\n          \"filenames\" => [\"locations.geojson\", \"stops.txt\"],\n          \"permanent_url\" => \"https://example.com/gtfs\"\n        }\n      )\n\n    assert DB.ResourceHistory.gtfs_flex?(rh)\n\n    result = %{\n      \"notices\" => [\n        %{\n          \"code\" => \"unusable_trip\",\n          \"sampleNotices\" => [%{\"foo\" => \"bar\"}],\n          \"severity\" => \"WARNING\",\n          \"totalNotices\" => 2\n        }\n      ],\n      \"summary\" => %{\"validatorVersion\" => \"4.2.0\"}\n    }\n\n    insert(:multi_validation, %{\n      resource_history: rh,\n      validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n      metadata: %DB.ResourceMetadata{\n        metadata: %{\"start_date\" => \"\", \"end_date\" => \"\"},\n        features: [\"Bike Allowed\"]\n      },\n      result: result,\n      digest: Transport.Validators.MobilityDataGTFSValidator.digest(result),\n      max_error: \"WARNING\"\n    })\n\n    mock_empty_history_resources()\n\n    content = conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200)\n\n    assert content =~ \"2 avertissements\"\n  end\n\n  test \"GBFS with a nil validation\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset_id: dataset.id, format: \"gbfs\", url: \"url\")\n    %{id: resource_history_id} = insert(:resource_history, resource_id: resource.id)\n\n    insert(:multi_validation,\n      resource_history_id: resource_history_id,\n      validator: Transport.Validators.GBFSValidator.validator_name(),\n      result: nil,\n      metadata: nil\n    )\n\n    mock_empty_history_resources()\n\n    assert conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200)\n  end\n\n  test \"show NeTEx number of errors\", %{conn: conn} do\n    issues = [%{\"criticity\" => \"error\"}]\n\n    for version <- [\"0.1.0\", \"0.2.0\", \"0.2.1\"] do\n      dataset = insert(:dataset)\n\n      resource = insert(:resource, title: \"NeTEx.zip\", dataset: dataset, format: \"NeTEx\", url: \"url\")\n\n      resource_history = insert(:resource_history, resource: resource)\n\n      result =\n        case version do\n          \"0.1.0\" -> %{\"xsd-1871\" => issues}\n          _ -> %{\"xsd-schema\" => issues}\n        end\n\n      results_adapter = Transport.Validators.NeTEx.ResultsAdapter.resolve(version)\n\n      digest = results_adapter.digest(result)\n\n      insert(:multi_validation,\n        resource_history: resource_history,\n        validator: Transport.Validators.NeTEx.Validator.validator_name(),\n        validator_version: version,\n        result: result,\n        digest: digest,\n        metadata: %DB.ResourceMetadata{\n          metadata: %{\"elapsed_seconds\" => 42, \"start_date\" => \"2025-12-01\", \"end_date\" => \"2025-12-31\"},\n          modes: [],\n          features: []\n        }\n      )\n\n      mock_empty_history_resources()\n\n      conn = conn |> get(dataset_path(conn, :details, dataset.slug))\n      content = conn |> html_response(200) |> extract_resource_details()\n      assert content =~ \"1 erreur\"\n      assert content =~ \"01/12/2025\"\n      assert content =~ \"31/12/2025\"\n      assert content =~ \"Périmé\"\n    end\n  end\n\n  test \"don't show NeTEx number of errors if no validation\", %{conn: conn} do\n    %{id: dataset_id} = insert(:dataset, slug: slug = \"dataset-slug\")\n\n    %{id: resource_id} = insert(:resource, dataset_id: dataset_id, format: \"NeTEx\", url: \"url\")\n\n    insert(:resource_history, resource_id: resource_id)\n\n    mock_empty_history_resources()\n\n    conn = conn |> get(dataset_path(conn, :details, slug))\n    refute conn |> html_response(200) |> extract_resource_details() =~ \"1 erreur\"\n  end\n\n  test \"GTFS-RT without validation\", %{conn: conn} do\n    %{id: dataset_id} = insert(:dataset, slug: slug = \"dataset-slug\")\n    insert(:resource, dataset_id: dataset_id, format: \"gtfs-rt\", url: \"url\")\n\n    mock_empty_history_resources()\n\n    conn = conn |> get(dataset_path(conn, :details, slug))\n    assert conn |> html_response(200) =~ \"Données temps réel\"\n  end\n\n  describe \"licence description\" do\n    test \"ODbL licence with specific conditions\", %{conn: conn} do\n      insert(:dataset, slug: slug = \"dataset-slug\", licence: \"odc-odbl\")\n\n      mock_empty_history_resources()\n\n      conn = conn |> get(dataset_path(conn, :details, slug))\n      assert conn |> html_response(200) =~ \"Conditions Particulières\"\n    end\n\n    test \"ODbL licence with openstreetmap tag\", %{conn: conn} do\n      insert(:dataset, slug: slug = \"dataset-slug\", licence: \"odc-odbl\", tags: [\"openstreetmap\"])\n\n      mock_empty_history_resources()\n\n      conn = conn |> get(dataset_path(conn, :details, slug))\n      refute conn |> html_response(200) =~ \"Conditions Particulières\"\n      assert conn |> html_response(200) =~ \"Règles de la communauté OSM\"\n    end\n\n    test \"licence ouverte licence\", %{conn: conn} do\n      insert(:dataset, slug: slug = \"dataset-slug\", licence: \"lov2\")\n\n      mock_empty_history_resources()\n\n      conn = conn |> get(dataset_path(conn, :details, slug))\n      assert conn |> html_response(200) =~ \"Licence Ouverte — version 2.0\"\n      refute conn |> html_response(200) =~ \"Conditions Particulières\"\n    end\n  end\n\n  test \"does not crash when validation_performed is false\", %{conn: conn} do\n    %{id: dataset_id} = insert(:dataset, slug: slug = \"dataset-slug\")\n\n    %{id: resource_id} =\n      insert(:resource,\n        dataset_id: dataset_id,\n        format: \"geojson\",\n        schema_name: schema_name = \"etalab/zfe\",\n        url: \"https://example.com/file\"\n      )\n\n    Transport.Schemas.Mock\n    |> expect(:transport_schemas, 1, fn -> %{schema_name => %{\"title\" => \"foo\"}} end)\n\n    insert(:multi_validation, %{\n      resource_history: insert(:resource_history, resource_id: resource_id),\n      validator: Transport.Validators.JSONSchema.validator_name(),\n      result: %{\"validation_performed\" => false}\n    })\n\n    mock_empty_history_resources()\n\n    conn |> get(dataset_path(conn, :details, slug)) |> html_response(200)\n  end\n\n  test \"with an inactive dataset\", %{conn: conn} do\n    insert(:dataset, is_active: false, slug: slug = \"dataset-slug\")\n\n    mock_empty_history_resources()\n\n    assert conn |> get(dataset_path(conn, :details, slug)) |> html_response(404) =~\n             \"Ce jeu de données a été supprimé de data.gouv.fr\"\n  end\n\n  test \"with an archived dataset\", %{conn: conn} do\n    insert(:dataset, is_active: true, slug: slug = \"dataset-slug\", archived_at: DateTime.utc_now())\n\n    mock_empty_history_resources()\n\n    assert conn |> get(dataset_path(conn, :details, slug)) |> html_response(200) =~\n             \"Ce jeu de données a été archivé de data.gouv.fr\"\n  end\n\n  test \"redirects when the slug changed on data.gouv.fr\", %{conn: conn} do\n    dataset =\n      insert(:dataset, is_active: true, slug: old_slug = \"old_slug\", datagouv_id: datagouv_id = Ecto.UUID.generate())\n\n    new_slug = \"new_slug\"\n    url = \"https://demo.data.gouv.fr/api/1/datasets/#{new_slug}/\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, ^url, \"\", [], [follow_redirect: true] ->\n      {:ok, %HTTPoison.Response{status_code: 200, body: Jason.encode!(%{id: datagouv_id, slug: new_slug})}}\n    end)\n\n    {path, _} = with_log(fn -> conn |> get(dataset_path(conn, :details, new_slug)) |> redirected_to(302) end)\n\n    assert path == dataset_path(conn, :details, old_slug)\n\n    assert %Dataset{slug: ^old_slug} = DB.Repo.reload!(dataset)\n  end\n\n  test \"404 when data.gouv.fr's API returns a 404\", %{conn: conn} do\n    insert(:dataset, is_active: true, slug: \"old_slug\")\n    slug_404 = \"slug_404\"\n    url = \"https://demo.data.gouv.fr/api/1/datasets/#{slug_404}/\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, fn :get, ^url, \"\", [], [follow_redirect: true] ->\n      {:ok, %HTTPoison.Response{status_code: 404, body: \"\"}}\n    end)\n\n    with_log(fn -> conn |> get(dataset_path(conn, :details, slug_404)) |> html_response(404) end)\n  end\n\n  test \"dataset#details with an ID or datagouv_id redirects to slug\", %{conn: conn} do\n    dataset = insert(:dataset, is_active: true, slug: Ecto.UUID.generate(), datagouv_id: Ecto.UUID.generate())\n\n    [dataset.id, dataset.datagouv_id]\n    |> Enum.each(fn param ->\n      {path, _} = with_log(fn -> conn |> get(dataset_path(conn, :details, param)) |> redirected_to(302) end)\n      assert path == dataset_path(conn, :details, dataset.slug)\n    end)\n  end\n\n  test \"dataset#details uses DatasetHistory when passed an old slug\", %{conn: conn} do\n    dataset = insert(:dataset, is_active: true, slug: Ecto.UUID.generate(), datagouv_id: Ecto.UUID.generate())\n\n    insert(:dataset_history, dataset_id: dataset.id, payload: %{slug: old_slug = Ecto.UUID.generate()})\n\n    {path, _} = with_log(fn -> conn |> get(dataset_path(conn, :details, old_slug)) |> redirected_to(302) end)\n    assert path == dataset_path(conn, :details, dataset.slug)\n  end\n\n  test \"dataset#details with an old slug when DatasetHistory returns multiple possible datasets\", %{conn: conn} do\n    dataset = insert(:dataset, is_active: true, slug: Ecto.UUID.generate(), datagouv_id: Ecto.UUID.generate())\n    dataset2 = insert(:dataset, is_active: true, slug: Ecto.UUID.generate(), datagouv_id: Ecto.UUID.generate())\n    old_slug = Ecto.UUID.generate()\n\n    insert(:dataset_history, dataset_id: dataset.id, payload: %{slug: old_slug})\n    insert(:dataset_history, dataset_id: dataset2.id, payload: %{slug: old_slug})\n\n    with_log(fn -> conn |> get(dataset_path(conn, :details, old_slug)) |> html_response(404) end)\n  end\n\n  test \"dataset#details with resources_related for gtfs-rt resources\", %{conn: conn} do\n    dataset = insert(:dataset, is_active: true, slug: slug = \"dataset-slug\")\n    gtfs = insert(:resource, dataset: dataset, url: \"https://example.com/gtfs.zip\", format: \"GTFS\")\n    gtfs_rt = insert(:resource, dataset: dataset, url: \"https://example.com/gtfs-rt\", format: \"gtfs-rt\")\n    insert(:resource_related, resource_src: gtfs_rt, resource_dst: gtfs, reason: :gtfs_rt_gtfs)\n\n    mock_empty_history_resources()\n\n    assert conn |> get(dataset_path(conn, :details, slug)) |> html_response(200) =~\n             ~s{<i class=\"icon fa fa-link\" aria-hidden=\"true\"></i><a class=\"dark\" href=\"#{resource_path(conn, :details, gtfs.id)}\">GTFS</a>}\n  end\n\n  test \"dataset#details with notifications sent recently\", %{conn: conn} do\n    dataset = insert(:dataset, is_active: true)\n\n    insert_notification(%{\n      dataset: dataset,\n      role: :producer,\n      reason: :expiration,\n      email: Ecto.UUID.generate() <> \"@example.com\",\n      payload: %{\"delay\" => 7},\n      inserted_at: inserted_at = DateTime.utc_now()\n    })\n\n    mock_empty_history_resources()\n\n    doc = conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200) |> Floki.parse_document!()\n    [msg] = Floki.find(doc, \"#notifications-sent\")\n    assert Floki.text(msg) =~ \"Expiration de données\"\n\n    expected_dt = Shared.DateTimeDisplay.format_datetime_to_paris(inserted_at, \"fr\")\n\n    assert Floki.find(doc, \"#notifications-sent table tbody\") == [\n             {\"tbody\", [],\n              [\n                {\"tr\", [],\n                 [\n                   {\"td\", [], [\"Expiration de données\"]},\n                   {\"td\", [], [\"\\n  dans 7 jours\\n\"]},\n                   {\"td\", [], [expected_dt]}\n                 ]}\n              ]}\n           ]\n  end\n\n  test \"dataset#details with a SIRI resource links to the query generator\", %{conn: conn} do\n    requestor_ref = Ecto.UUID.generate()\n    dataset = insert(:dataset, is_active: true, slug: \"dataset-slug\", custom_tags: [\"requestor_ref:#{requestor_ref}\"])\n    resource = insert(:resource, dataset: dataset, url: \"https://example.com/siri\", format: \"SIRI\")\n    assert DB.Resource.requestor_ref(resource) == requestor_ref\n\n    mock_empty_history_resources()\n    {html, _} = with_log(fn -> conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200) end)\n\n    assert html =~\n             conn\n             |> live_path(TransportWeb.Live.SIRIQuerierLive,\n               endpoint_url: resource.url,\n               requestor_ref: DB.Resource.requestor_ref(resource),\n               query_template: \"LinesDiscovery\"\n             )\n             |> Phoenix.HTML.html_escape()\n             |> Phoenix.HTML.safe_to_string()\n  end\n\n  test \"quality indicators chart is displayed\", %{conn: conn} do\n    dataset = insert(:dataset, is_active: true)\n\n    insert(:dataset_score,\n      dataset: dataset,\n      timestamp: DateTime.utc_now() |> DateTime.add(-24, :hour),\n      score: 0.3,\n      topic: :freshness\n    )\n\n    insert(:dataset_score,\n      dataset: dataset,\n      timestamp: DateTime.utc_now() |> DateTime.add(-1, :hour),\n      score: 0.549,\n      topic: :freshness\n    )\n\n    insert(:dataset_score,\n      dataset: dataset,\n      timestamp: DateTime.utc_now() |> DateTime.add(-3, :hour),\n      score: 0.8,\n      topic: :compliance\n    )\n\n    insert(:dataset_score,\n      dataset: dataset,\n      timestamp: DateTime.utc_now() |> DateTime.add(-1, :hour),\n      score: nil,\n      topic: :availability\n    )\n\n    mock_empty_history_resources()\n\n    content = conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200) |> Floki.parse_document!()\n\n    refute content |> Floki.find(\"#quality-indicators\") |> Enum.empty?()\n\n    assert [\n             {\"table\", [{\"class\", \"table\"}],\n              [\n                {\"tr\", [], [{\"th\", [], [\"Conformité\"]}, {\"th\", [], [\"Fraicheur\"]}]},\n                {\"tr\", [], [{\"td\", [], [\"80%\"]}, {\"td\", [], [\"55%\"]}]}\n              ]}\n           ] == content |> Floki.find(\"#quality-indicators table\")\n  end\n\n  describe \"information & warning banners are displayed\" do\n    test \"a seasonal dataset\", %{conn: conn} do\n      ds = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"seasonal\")\n      dataset = insert(:dataset, is_active: true, dataset_subtypes: [ds])\n      assert TransportWeb.DatasetView.seasonal_warning?(dataset)\n\n      dataset_has_banner_with_text(\n        conn,\n        dataset,\n        \"Le service de transport de ce jeu de donnée ne fonctionne pas toute l'année\"\n      )\n    end\n\n    test \"a dataset with authentication required\", %{conn: conn} do\n      dataset = insert(:dataset, is_active: true, custom_tags: [\"authentification_requise\"])\n\n      assert TransportWeb.DatasetView.authentication_required?(dataset)\n\n      dataset_has_banner_with_text(\n        conn,\n        dataset,\n        \"Le producteur requiert une authentification pour accéder aux données\"\n      )\n    end\n\n    test \"an experimental dataset\", %{conn: conn} do\n      dataset = insert(:dataset, is_active: true, custom_tags: [\"experimental\", \"foo\"])\n      assert DB.Dataset.experimental?(dataset)\n\n      dataset_has_banner_with_text(\n        conn,\n        dataset,\n        \"Ce jeu de données non officiel est publié à titre expérimental. Veuillez ne pas le réutiliser à des fins d’information voyageur.\"\n      )\n    end\n  end\n\n  test \"custom logo is displayed when set\", %{conn: conn} do\n    dataset =\n      insert(:dataset,\n        is_active: true,\n        custom_title: custom_title = \"Super JDD\",\n        custom_full_logo: custom_full_logo = \"https://example.com/logo_#{Ecto.UUID.generate()}.png\"\n      )\n\n    mock_empty_history_resources()\n\n    assert DB.Dataset.full_logo(dataset) == custom_full_logo\n\n    assert [{\"div\", [{\"class\", \"dataset__logo\"}], [{\"img\", [{\"alt\", custom_title}, {\"src\", custom_full_logo}], []}]}] ==\n             conn\n             |> get(dataset_path(conn, :details, dataset.slug))\n             |> html_response(200)\n             |> Floki.parse_document!()\n             |> Floki.find(\".dataset__logo\")\n  end\n\n  describe \"dataset#details: favorite icon\" do\n    test \"logged-out: nudge signup\", %{conn: conn} do\n      dataset = insert(:dataset)\n\n      mock_empty_history_resources()\n\n      assert [\n               {\"div\", [{\"class\", \"follow-dataset-icon\"}], [{\"i\", [{\"class\", _}, {\"phx-click\", \"nudge_signup\"}], []}]}\n             ] =\n               conn\n               |> get(dataset_path(conn, :details, dataset.slug))\n               |> html_response(200)\n               |> Floki.parse_document!()\n               |> Floki.find(\".follow-dataset-icon\")\n    end\n\n    test \"shown if you're an admin\", %{conn: conn} do\n      dataset = insert(:dataset)\n      insert_contact(%{datagouv_user_id: contact_datagouv_id = Ecto.UUID.generate()})\n\n      mock_empty_history_resources()\n\n      assert [\n               {\"div\", [{\"class\", \"follow-dataset-icon\"}],\n                [\n                  {\"div\", [{\"class\", \"tooltip\"}],\n                   [\n                     {\"i\", [{\"class\", _}, {\"phx-click\", \"follow\"}], []},\n                     {\"span\", [{\"class\", \"tooltiptext left\"}], [\"Suivre ce jeu de données\"]}\n                   ]}\n                ]}\n             ] =\n               conn\n               |> init_test_session(%{current_user: %{\"is_admin\" => true, \"id\" => contact_datagouv_id}})\n               |> get(dataset_path(conn, :details, dataset.slug))\n               |> html_response(200)\n               |> Floki.parse_document!()\n               |> Floki.find(\".follow-dataset-icon\")\n    end\n  end\n\n  test \"gtfs-rt entities\" do\n    dataset = %{id: dataset_id} = insert(:dataset, type: \"public-transit\")\n    %{id: resource_id_1} = insert(:resource, dataset_id: dataset_id, format: \"gtfs-rt\")\n    insert(:resource_metadata, resource_id: resource_id_1, features: [\"a\", \"b\"])\n    %{id: resource_id_2} = insert(:resource, dataset_id: dataset_id, format: \"gtfs-rt\")\n    insert(:resource_metadata, resource_id: resource_id_2, features: [\"a\", \"c\"])\n    insert(:resource_metadata, resource_id: resource_id_2, features: [\"d\"])\n\n    # too old\n    %{id: resource_id_3} = insert(:resource, dataset_id: dataset_id, format: \"gtfs-rt\")\n\n    insert(:resource_metadata,\n      resource_id: resource_id_3,\n      features: [\"e\"],\n      inserted_at: Transport.Jobs.GTFSRTMetadataJob.datetime_limit() |> DateTime.add(-5)\n    )\n\n    assert %{resource_id_1 => MapSet.new([\"a\", \"b\"]), resource_id_2 => MapSet.new([\"a\", \"c\", \"d\"])} ==\n             dataset |> TransportWeb.DatasetController.gtfs_rt_entities()\n  end\n\n  describe \"subtypes facet\" do\n    test \"appears when filtering by type=public-transit\", %{conn: conn} do\n      ds_urban = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"urban\")\n      insert(:dataset, type: \"public-transit\", dataset_subtypes: [ds_urban])\n      Transport.DatasetIndex.refresh()\n\n      html = conn |> get(dataset_path(conn, :index, type: \"public-transit\")) |> html_response(200)\n      assert html =~ \"Sous-type\"\n      assert html =~ DB.Dataset.subtype_to_str(\"urban\")\n    end\n\n    test \"does not appear when no type filter is selected\", %{conn: conn} do\n      ds_urban = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"urban\")\n      insert(:dataset, type: \"public-transit\", dataset_subtypes: [ds_urban])\n      Transport.DatasetIndex.refresh()\n\n      html = conn |> get(dataset_path(conn, :index)) |> html_response(200)\n      refute html =~ \"Sous-type\"\n    end\n\n    test \"does not appear when type without subtypes is selected\", %{conn: conn} do\n      insert(:dataset, type: \"road-data\")\n      Transport.DatasetIndex.refresh()\n\n      html = conn |> get(dataset_path(conn, :index, type: \"road-data\")) |> html_response(200)\n      refute html =~ \"Sous-type\"\n    end\n\n    test \"filtering by subtype returns correct results\", %{conn: conn} do\n      ds_urban = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"urban\")\n      ds_intercity = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"intercity\")\n\n      urban_dataset = insert(:dataset, type: \"public-transit\", dataset_subtypes: [ds_urban], custom_title: \"Urban JDD\")\n\n      intercity_dataset =\n        insert(:dataset, type: \"public-transit\", dataset_subtypes: [ds_intercity], custom_title: \"Intercity JDD\")\n\n      Transport.DatasetIndex.refresh()\n\n      html =\n        conn\n        |> get(dataset_path(conn, :index, type: \"public-transit\", subtype: \"urban\"))\n        |> html_response(200)\n\n      assert html =~ urban_dataset.custom_title\n      refute html =~ intercity_dataset.custom_title\n    end\n  end\n\n  test \"licences facet\" do\n    insert(:dataset, licence: \"lov2\", type: \"road-data\")\n    insert(:dataset, licence: \"fr-lo\", type: \"road-data\")\n    insert(:dataset, licence: \"odc-odbl\", type: \"road-data\")\n    insert(:dataset, licence: \"odc-odbl\", type: \"public-transit\")\n\n    index = Transport.DatasetIndex.build_index()\n\n    public_transit_ids =\n      %{\"type\" => \"public-transit\"} |> DB.Dataset.list_datasets() |> DB.Repo.all() |> Enum.map(& &1.id)\n\n    assert [%{count: 1, licence: \"odc-odbl\"}] ==\n             Transport.DatasetIndex.licences(index, public_transit_ids)\n\n    road_data_ids =\n      %{\"type\" => \"road-data\"} |> DB.Dataset.list_datasets() |> DB.Repo.all() |> Enum.map(& &1.id)\n\n    assert [%{count: 2, licence: \"licence-ouverte\"}, %{count: 1, licence: \"odc-odbl\"}] ==\n             Transport.DatasetIndex.licences(index, road_data_ids)\n  end\n\n  test \"hidden datasets\", %{conn: conn} do\n    hidden_dataset = insert(:dataset, is_hidden: true, is_active: true)\n\n    # Dataset is not listed\n    refute conn\n           |> get(dataset_path(conn, :index))\n           |> html_response(200) =~ hidden_dataset.custom_title\n\n    mock_empty_history_resources()\n\n    # Dataset can be seen on the details page, with a banner\n    [{\"div\", [{\"class\", \"notification full-width\"}], [content]}] =\n      conn\n      |> get(dataset_path(conn, :details, hidden_dataset.slug))\n      |> html_response(200)\n      |> Floki.parse_document!()\n      |> Floki.find(\".notification\")\n\n    assert content =~ \"Ce jeu de données est masqué\"\n  end\n\n  test \"dataset-page-title\", %{conn: conn} do\n    [\n      {%{\"type\" => \"public-transit\"}, \"Transport public collectif\"}\n    ]\n    |> Enum.each(fn {params, expected_title} ->\n      title =\n        conn\n        |> get(dataset_path(conn, :index, params))\n        |> html_response(200)\n        |> dataset_page_title()\n\n      assert title == expected_title\n    end)\n  end\n\n  test \"resources_history_csv\", %{conn: conn} do\n    # Using the real implementation to test end-to-end\n    Mox.stub_with(Transport.History.Fetcher.Mock, Transport.History.Fetcher.Database)\n\n    %DB.Contact{id: contact_id} = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n\n    %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset)\n    other_resource = insert(:resource, dataset: dataset)\n    # another resource, no history for this one\n    insert(:resource, dataset: dataset, format: \"gtfs-rt\")\n\n    rh1 =\n      insert(:resource_history,\n        resource_id: resource.id,\n        payload: %{\"foo\" => \"bar\", \"permanent_url\" => \"https://example.com/1\"}\n      )\n\n    mv =\n      insert(:multi_validation,\n        resource_history_id: rh1.id,\n        validator: \"validator_name\",\n        result: %{\"validation_details\" => 42}\n      )\n\n    insert(:resource_metadata, multi_validation_id: mv.id, metadata: %{\"metadata\" => 1337})\n\n    # resource_id is nil, but dataset_id is filled in the payload\n    # no resource_metadata/multi_validation associated\n    rh2 =\n      insert(:resource_history,\n        resource_id: nil,\n        payload: %{\"dataset_id\" => dataset.id, \"bar\" => \"baz\", \"permanent_url\" => \"https://example.com/2\"}\n      )\n\n    # another resource for this dataset\n    # no resource_metadata/multi_validation associated\n    rh3 =\n      insert(:resource_history,\n        resource_id: other_resource.id,\n        payload: %{\"dataset_id\" => dataset.id, \"permanent_url\" => \"https://example.com/3\"}\n      )\n\n    # Check that we sent a chunked response with the expected CSV content\n    %Plug.Conn{state: :chunked} =\n      response =\n      conn\n      |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n      |> get(dataset_path(conn, :resources_history_csv, dataset.id))\n\n    content = response(response, 200)\n\n    # Check CSV header\n    assert content |> String.split(\"\\r\\n\") |> hd() ==\n             \"resource_history_id,resource_id,permanent_url,payload,inserted_at\"\n\n    # Check CSV content\n    assert [content] |> CSV.decode!(headers: true) |> Enum.to_list() == [\n             %{\n               \"inserted_at\" => to_string(rh3.inserted_at),\n               \"payload\" => Jason.encode!(rh3.payload),\n               \"permanent_url\" => \"https://example.com/3\",\n               \"resource_history_id\" => to_string(rh3.id),\n               \"resource_id\" => to_string(rh3.resource_id)\n             },\n             %{\n               \"inserted_at\" => to_string(rh2.inserted_at),\n               \"payload\" => Jason.encode!(rh2.payload),\n               \"permanent_url\" => \"https://example.com/2\",\n               \"resource_history_id\" => to_string(rh2.id),\n               \"resource_id\" => to_string(rh2.resource_id)\n             },\n             %{\n               \"inserted_at\" => to_string(rh1.inserted_at),\n               \"payload\" => Jason.encode!(rh1.payload),\n               \"permanent_url\" => \"https://example.com/1\",\n               \"resource_history_id\" => to_string(rh1.id),\n               \"resource_id\" => to_string(rh1.resource_id)\n             }\n           ]\n\n    assert response_content_type(response, :csv) == \"text/csv; charset=utf-8\"\n\n    assert Plug.Conn.get_resp_header(response, \"content-disposition\") == [\n             ~s(attachment; filename=\"historisation-dataset-#{dataset.id}-#{Date.utc_today() |> Date.to_iso8601()}.csv\")\n           ]\n\n    assert [\n             %DB.FeatureUsage{\n               feature: :download_resource_history,\n               contact_id: ^contact_id,\n               metadata: %{\"dataset_id\" => ^dataset_id}\n             }\n           ] = DB.FeatureUsage |> DB.Repo.all()\n  end\n\n  describe \"Legal owner display\" do\n    test \"dataset#details with no legal owners\", %{conn: conn} do\n      dataset = insert(:dataset, is_active: true)\n\n      mock_empty_history_resources()\n\n      doc = conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200) |> Floki.parse_document!()\n      refute Floki.text(doc) =~ \"Données sous la responsabilité de\"\n    end\n\n    test \"dataset#details with AOM legal owner\", %{conn: conn} do\n      aom = insert(:aom, nom: \"Angers Métropole\", siren: \"siren\")\n      dataset = insert(:dataset, is_active: true, legal_owners_aom: [aom])\n\n      mock_empty_history_resources()\n\n      doc = conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200) |> Floki.parse_document!()\n      assert Floki.text(doc) =~ \"Données sous la responsabilité de\"\n      assert Floki.text(doc) =~ \"Angers Métropole\"\n    end\n\n    test \"dataset#details with both Region and AOM legal owner\", %{conn: conn} do\n      region = DB.Region |> Ecto.Query.where(insee: \"52\") |> DB.Repo.one!()\n      aom = insert(:aom, nom: \"Angers Métropole\", siren: \"siren\")\n      dataset = insert(:dataset, is_active: true, legal_owners_aom: [aom], legal_owners_region: [region])\n\n      mock_empty_history_resources()\n\n      doc = conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200) |> Floki.parse_document!()\n      assert Floki.text(doc) =~ \"Données sous la responsabilité de\"\n      # Region is displayed first\n      assert Floki.text(doc) =~ \"Pays de la Loire, Angers Métropole\"\n    end\n\n    test \"dataset#details with a company legal owner, DB.Company exists\", %{conn: conn} do\n      %DB.Company{siren: siren, nom_complet: nom_complet} = insert(:company)\n      dataset = insert(:dataset, is_active: true, legal_owner_company_siren: siren)\n\n      mock_empty_history_resources()\n\n      doc = conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200) |> Floki.parse_document!()\n      assert Floki.text(doc) =~ \"Données sous la responsabilité de\"\n      assert Floki.text(doc) =~ nom_complet\n    end\n\n    test \"dataset#details with a company legal owner, DB.Company does not exist yet\", %{conn: conn} do\n      siren = \"420495178\"\n      dataset = insert(:dataset, is_active: true, legal_owner_company_siren: siren)\n\n      mock_empty_history_resources()\n\n      doc = conn |> get(dataset_path(conn, :details, dataset.slug)) |> html_response(200) |> Floki.parse_document!()\n      assert Floki.text(doc) =~ \"Données sous la responsabilité de\"\n      # Falls back to displaying the SIREN when the company is not yet in DB\n      assert Floki.text(doc) =~ siren\n    end\n  end\n\n  test \"dataset#details, PAN resource, logged-in user with a default token\", %{conn: conn} do\n    dataset = insert(:dataset, organization_id: @pan_org_id)\n    resource = insert(:resource, dataset: dataset)\n    assert resource |> DB.Repo.preload(:dataset) |> DB.Resource.pan_resource?()\n\n    contact = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n    token = insert_token()\n    insert(:default_token, contact: contact, token: token)\n\n    mock_empty_history_resources()\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id, token: token.secret)] ==\n             conn\n             |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> dataset_href_download_button(dataset)\n  end\n\n  test \"dataset#details, PAN resource, logged-in user without a default token\", %{conn: conn} do\n    dataset = insert(:dataset, organization_id: @pan_org_id)\n    resource = insert(:resource, dataset: dataset)\n    assert resource |> DB.Repo.preload(:dataset) |> DB.Resource.pan_resource?()\n\n    organization = insert(:organization)\n\n    insert_contact(%{\n      datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n      organizations: [organization |> Map.from_struct()]\n    })\n\n    insert_token(%{organization_id: organization.id})\n\n    mock_empty_history_resources()\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id)] ==\n             conn\n             |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> dataset_href_download_button(dataset)\n  end\n\n  test \"dataset#details, PAN resource, logged-out user\", %{conn: conn} do\n    dataset = insert(:dataset, organization_id: @pan_org_id)\n    resource = insert(:resource, dataset: dataset)\n    assert resource |> DB.Repo.preload(:dataset) |> DB.Resource.pan_resource?()\n\n    mock_empty_history_resources()\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id)] ==\n             conn |> dataset_href_download_button(dataset)\n  end\n\n  test \"dataset#details, dataset with experimentation tag, logged-in user with a default token\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, dataset: dataset)\n\n    contact = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n    token = insert_token()\n    insert(:default_token, contact: contact, token: token)\n\n    mock_empty_history_resources()\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id, token: token.secret)] ==\n             conn\n             |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> dataset_href_download_button(dataset)\n  end\n\n  test \"dataset#details, dataset with experimentation tag, logged-in user without a default token\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, dataset: dataset)\n\n    organization = insert(:organization)\n\n    insert_contact(%{\n      datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n      organizations: [organization |> Map.from_struct()]\n    })\n\n    insert_token(%{organization_id: organization.id})\n\n    mock_empty_history_resources()\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id)] ==\n             conn\n             |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> dataset_href_download_button(dataset)\n  end\n\n  test \"dataset#details, dataset with experimentation tag, logged-out user\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, dataset: dataset)\n\n    mock_empty_history_resources()\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id)] ==\n             conn |> dataset_href_download_button(dataset)\n  end\n\n  test \"dataset#details, dataset with experimentation tag, real-time resource\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, url: \"https://example.com/gbfs\", format: \"gbfs\", dataset: dataset)\n\n    assert DB.Resource.real_time?(resource)\n    mock_empty_history_resources()\n\n    assert [resource.url] == conn |> dataset_href_download_button(dataset)\n  end\n\n  test \"dataset#details, proxy resource, logged-in user with a default token\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/#{Ecto.UUID.generate()}\")\n    assert resource |> DB.Resource.served_by_proxy?()\n\n    contact = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n    token = insert_token()\n    insert(:default_token, contact: contact, token: token)\n\n    mock_empty_history_resources()\n\n    assert [resource.url <> \"?token=#{token.secret}\"] ==\n             conn\n             |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> dataset_href_download_button(dataset)\n  end\n\n  test \"dataset#details, proxy resource, logged-in user without a default token\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/#{Ecto.UUID.generate()}\")\n    assert resource |> DB.Resource.served_by_proxy?()\n\n    organization = insert(:organization)\n\n    insert_contact(%{\n      datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n      organizations: [organization |> Map.from_struct()]\n    })\n\n    insert_token(%{organization_id: organization.id})\n\n    mock_empty_history_resources()\n\n    assert [resource.url] ==\n             conn\n             |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> dataset_href_download_button(dataset)\n  end\n\n  test \"dataset#details, proxy resource, logged-out user\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/#{Ecto.UUID.generate()}\")\n    assert resource |> DB.Resource.served_by_proxy?()\n\n    mock_empty_history_resources()\n\n    assert [resource.url] ==\n             conn |> dataset_href_download_button(dataset)\n  end\n\n  test \"dataset#details, territories\", %{conn: conn} do\n    commune =\n      insert(:administrative_division,\n        type: :commune,\n        type_insee: \"commune_12345\",\n        insee: \"12345\",\n        nom: \"Test Commune\"\n      )\n\n    departement =\n      insert(:administrative_division,\n        type: :departement,\n        type_insee: \"departement_123\",\n        insee: \"123\",\n        nom: \"Test Département\"\n      )\n\n    dataset = insert(:dataset, declarative_spatial_areas: [departement, commune])\n\n    mock_empty_history_resources()\n\n    assert conn\n           |> get(dataset_path(conn, :details, dataset.slug))\n           |> html_response(200) =~ \"Test Département, Test Commune\"\n  end\n\n  test \"dataset#details, transport offer\", %{conn: conn} do\n    offer = insert(:offer)\n    dataset = insert(:dataset, offers: [offer])\n\n    mock_empty_history_resources()\n\n    assert conn\n           |> get(dataset_path(conn, :details, dataset.slug))\n           |> html_response(200) =~ offer.nom_commercial\n  end\n\n  test \"dataset#by_offer\", %{conn: conn} do\n    offer = insert(:offer)\n    dataset = insert(:dataset, offers: [offer])\n    other_dataset = insert(:dataset, custom_title: Ecto.UUID.generate())\n    Transport.DatasetIndex.refresh()\n\n    content = conn |> get(dataset_path(conn, :by_offer, offer.identifiant_offre)) |> html_response(200)\n\n    assert offer.nom_commercial == dataset_page_title(content)\n    assert content =~ \"offre de transport\"\n    assert content =~ dataset.custom_title\n    refute content =~ other_dataset.custom_title\n  end\n\n  test \"dataset by format\", %{conn: conn} do\n    dataset = insert(:dataset, custom_title: Ecto.UUID.generate())\n    insert(:resource, format: \"GTFS\", dataset: dataset)\n\n    other_dataset = insert(:dataset, custom_title: Ecto.UUID.generate())\n    insert(:resource, format: \"NeTEx\", dataset: other_dataset)\n    Transport.DatasetIndex.refresh()\n\n    content = conn |> get(dataset_path(conn, :index, format: \"GTFS\")) |> html_response(200)\n\n    assert \"GTFS\" == dataset_page_title(content)\n    assert content =~ \"format de données\"\n    assert content =~ dataset.custom_title\n    refute content =~ other_dataset.custom_title\n  end\n\n  def dataset_href_download_button(%Plug.Conn{} = conn, %DB.Dataset{} = dataset) do\n    conn\n    |> get(dataset_path(conn, :details, dataset.slug))\n    |> html_response(200)\n    |> Floki.parse_document!()\n    |> Floki.find(\"a.download-button\")\n    |> hd()\n    |> Floki.attribute(\"href\")\n  end\n\n  defp dataset_page_title(content) do\n    content\n    |> Floki.parse_document!()\n    |> Floki.find(\".dataset-page-title h1\")\n    |> Floki.text()\n  end\n\n  defp mock_empty_history_resources do\n    Transport.History.Fetcher.Mock\n    |> expect(:history_resources, fn _, options ->\n      assert Keyword.equal?(options, preload_validations: true, max_records: 25, fetch_mode: :all, only_metadata: true)\n      []\n    end)\n  end\n\n  defp dataset_titles(document) do\n    document |> Floki.find(\".dataset__title > a\") |> Enum.map(&(&1 |> Floki.text() |> String.trim()))\n  end\n\n  defp dataset_header_links(%Plug.Conn{} = conn, %DB.Dataset{} = dataset) do\n    conn\n    |> get(dataset_path(conn, :details, dataset.slug))\n    |> html_response(200)\n    |> Floki.parse_document!()\n    |> Floki.find(~s|div[data-section=\"dataset-header-links\"] a|)\n  end\n\n  defp dataset_has_banner_with_text(%Plug.Conn{} = conn, %DB.Dataset{slug: slug}, text) do\n    mock_empty_history_resources()\n\n    content =\n      conn\n      |> get(dataset_path(conn, :details, slug))\n      |> html_response(200)\n      |> Floki.parse_document!()\n      |> Floki.find(\".notification\")\n      |> Floki.text()\n\n    assert content =~ text\n  end\n\n  defp extract_resource_details(html) do\n    html\n    |> Floki.parse_document!()\n    |> Floki.find(\"section#dataset-resources div.ressources-list div.resource\")\n    |> Floki.text()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/dataset_search_test.exs",
    "content": "defmodule TransportWeb.DatasetSearchControllerTest do\n  use TransportWeb.ConnCase, async: false\n  use TransportWeb.DatabaseCase, cleanup: [:datasets, :dataset_triggers]\n  import DB.Factory\n\n  doctest TransportWeb.DatasetController\n\n  setup do\n    insert(:dataset,\n      created_at: DateTime.utc_now(),\n      last_update: DateTime.utc_now(),\n      description: \"Un jeu de données\",\n      licence: \"odc-odbl\",\n      datagouv_title: \"Horaires et arrêts du réseau IRIGO - format GTFS\",\n      custom_title: \"Horaires Angers\",\n      type: \"public-transit\",\n      slug: \"horaires-et-arrets-du-reseau-irigo-format-gtfs\",\n      datagouv_id: \"5b4cd3a0b59508054dd496cd\",\n      frequency: \"yearly\",\n      tags: [],\n      resources: [\n        %DB.Resource{\n          last_update: DateTime.utc_now() |> DateTime.add(-6, :hour),\n          last_import: DateTime.utc_now() |> DateTime.add(-1, :hour),\n          url: \"https://link.to/angers.zip\",\n          title: \"angers.zip\"\n        }\n      ]\n    )\n\n    insert(:dataset,\n      created_at: DateTime.utc_now(),\n      last_update: DateTime.utc_now(),\n      description: \"Un autre jeu de données\",\n      licence: \"lov2\",\n      datagouv_title: \"offre de transport du réseau de LAVAL Agglomération (GTFS)\",\n      custom_title: \"Horaires Laval\",\n      slug: \"offre-de-transport-du-reseau-de-laval-agglomeration-gtfs\",\n      type: \"public-transit\",\n      datagouv_id: \"5bc493d08b4c416c84a69500\",\n      frequency: \"yearly\",\n      tags: [],\n      resources: [\n        %DB.Resource{\n          last_update: DateTime.utc_now() |> DateTime.add(-6, :hour),\n          last_import: DateTime.utc_now() |> DateTime.add(-1, :hour),\n          url: \"https://link.to/angers.zip\"\n        }\n      ]\n    )\n\n    Transport.DatasetIndex.refresh()\n\n    :ok\n  end\n\n  test \"GET /datasets title\", %{conn: conn} do\n    conn = conn |> get(dataset_path(conn, :index))\n    # titre de la page\n    assert html_response(conn, 200) =~ \"Jeux de données\"\n  end\n\n  test \"GET /datasets filter\", %{conn: conn} do\n    conn = conn |> get(dataset_path(conn, :index))\n    # info dans les filtres à gauche des datasets\n    assert html_response(conn, 200) =~ \"Transport public collectif (2)\"\n  end\n\n  describe \"list datasets\" do\n    test \"with modes\" do\n      %DB.Resource{dataset_id: dataset_1_id} =\n        insert(:resource, counter_cache: %{gtfs_modes: [\"rollerblades\"]}, dataset: insert(:dataset))\n\n      %DB.Resource{dataset_id: dataset_2_id} =\n        insert(:resource, counter_cache: %{gtfs_modes: [\"rollerblades\", \"tramway\"]}, dataset: insert(:dataset))\n\n      %DB.Resource{} =\n        insert(:resource, counter_cache: %{gtfs_modes: [\"bus\"]}, dataset: insert(:dataset))\n\n      %DB.Resource{} = insert(:resource, counter_cache: %{gtfs_modes: []}, dataset: insert(:dataset))\n      %DB.Resource{} = insert(:resource, counter_cache: nil, dataset: insert(:dataset))\n\n      datasets = %{\"modes\" => [\"rollerblades\"]} |> DB.Dataset.list_datasets() |> DB.Repo.all()\n      assert datasets |> Enum.map(& &1.id) |> Enum.sort() == [dataset_1_id, dataset_2_id]\n\n      # Doesn’t crash if we mix the search with other filters\n      assert [] == %{\"modes\" => [\"bus\"], \"features\" => [\"realtime\"]} |> DB.Dataset.list_datasets() |> DB.Repo.all()\n\n      # Doesn’t crash and sends back the whole list if we search for nil\n      refute Enum.empty?(%{\"modes\" => nil} |> DB.Dataset.list_datasets() |> DB.Repo.all())\n    end\n\n    test \"with features\" do\n      %DB.Resource{dataset_id: dataset_1_id} =\n        insert(:resource, counter_cache: %{gtfs_features: [\"repose pieds en velour\"]}, dataset: insert(:dataset))\n\n      %DB.Resource{dataset_id: dataset_2_id} =\n        insert(:resource,\n          counter_cache: %{gtfs_features: [\"repose pieds en velour\", \"DJ à bord\"]},\n          dataset: insert(:dataset)\n        )\n\n      datasets = %{\"features\" => [\"repose pieds en velour\"]} |> DB.Dataset.list_datasets() |> DB.Repo.all()\n      assert datasets |> Enum.map(& &1.id) |> Enum.sort() == [dataset_1_id, dataset_2_id]\n\n      [dataset] = %{\"features\" => [\"DJ à bord\"]} |> DB.Dataset.list_datasets() |> DB.Repo.all()\n      assert dataset.id == dataset_2_id\n    end\n\n    test \"with gtfs-rt features\" do\n      %DB.Region{insee: region_insee} = region = insert(:region, insee: \"01\")\n      ad = insert(:administrative_division, type: :region, insee: region.insee)\n\n      %{id: dataset_id} = insert(:dataset, type: \"public-transit\", declarative_spatial_areas: [ad])\n      %{id: resource_id} = insert(:resource, dataset_id: dataset_id)\n      insert(:resource_metadata, resource_id: resource_id, features: [\"vehicle_positions\"])\n\n      # insert a second matching resource, to check \"distinct\" on dataset_id works (no duplicate result)\n      %{id: resource_id_again} = insert(:resource, dataset_id: dataset_id)\n      insert(:resource_metadata, resource_id: resource_id_again, features: [\"vehicle_positions\"])\n\n      %{id: dataset_id_2} = insert(:dataset, type: \"public-transit\", declarative_spatial_areas: [ad])\n      %{id: resource_id_2} = insert(:resource, dataset_id: dataset_id_2)\n\n      # feature has been seen, but too long ago\n      insert(:resource_metadata,\n        resource_id: resource_id_2,\n        features: [\"vehicle_positions\"],\n        inserted_at: ~U[2020-01-01 00:00:00Z]\n      )\n\n      %{id: dataset_id_3} = insert(:dataset, type: \"public-transit\", declarative_spatial_areas: [ad])\n      %{id: resource_id_3} = insert(:resource, dataset_id: dataset_id_3)\n      insert(:resource_metadata, resource_id: resource_id_3, features: [\"repose pieds en velour\"])\n\n      index = Transport.DatasetIndex.build_index()\n\n      dataset_ids =\n        %{\"features\" => [\"vehicle_positions\"]}\n        |> DB.Dataset.list_datasets()\n        |> DB.Repo.all()\n        |> Enum.map(& &1.id)\n\n      assert [dataset_id] == dataset_ids\n\n      assert [%{count: 1, type: \"public-transit\"}] =\n               Transport.DatasetIndex.types(index, dataset_ids)\n\n      regions_count = Transport.DatasetIndex.regions(index, dataset_ids)\n      assert [%{count: 1, insee: ^region_insee}] = regions_count |> Enum.filter(&(&1.insee == region_insee))\n    end\n  end\n\n  test \"GET /datasets?type=public-transit\", %{conn: conn} do\n    conn = conn |> get(dataset_path(conn, :index), %{type: \"public-transit\"})\n    assert html_response(conn, 200) =~ \"Jeux de données\"\n  end\n\n  test \"GET /datasets?type=public-transit&licence=odc-odbl\", %{conn: conn} do\n    conn = conn |> get(dataset_path(conn, :index), %{type: \"public-transit\", licence: \"odc-odbl\"})\n    assert html_response(conn, 200) =~ \"Transport public collectif (1)\"\n    assert html_response(conn, 200) =~ \"Horaires Angers\"\n    refute html_response(conn, 200) =~ \"Horaires Laval\"\n\n    conn = conn |> get(dataset_path(conn, :index), %{type: \"public-transit\", licence: \"licence-ouverte\"})\n    assert html_response(conn, 200) =~ \"Horaires Laval\"\n    refute html_response(conn, 200) =~ \"Horaires Angers\"\n  end\n\n  test \"searching with a custom tag\" do\n    %DB.Dataset{id: dataset_id} =\n      insert(:dataset, type: \"public-transit\", is_active: true, custom_tags: [\"bar\", \"foo\"])\n\n    assert 3 == %{\"type\" => \"public-transit\"} |> Dataset.list_datasets() |> Repo.all() |> Enum.count()\n\n    assert [%DB.Dataset{id: ^dataset_id}] =\n             %{\"type\" => \"public-transit\", \"custom_tag\" => \"foo\"} |> Dataset.list_datasets() |> Repo.all()\n\n    assert 1 == DB.Dataset.count_by_custom_tag(\"foo\")\n  end\n\n  test \"searching by resource format\" do\n    %DB.Dataset{id: d1_id} = insert(:dataset)\n    insert(:resource, dataset_id: d1_id, format: \"GTFS\")\n    insert(:resource, dataset_id: d1_id, format: \"gtfs-rt\")\n\n    %DB.Dataset{id: d2_id} = insert(:dataset)\n    insert(:resource, dataset_id: d2_id, format: \"gbfs\")\n\n    %DB.Dataset{id: d3_id} = insert(:dataset)\n    insert(:resource, dataset_id: d3_id, format: \"csv\")\n    insert(:resource, dataset_id: d3_id, format: \"csv\")\n\n    assert [%DB.Dataset{id: ^d1_id}] = %{\"format\" => \"GTFS\"} |> DB.Dataset.list_datasets() |> DB.Repo.all()\n    assert [%DB.Dataset{id: ^d2_id}] = %{\"format\" => \"gbfs\"} |> DB.Dataset.list_datasets() |> DB.Repo.all()\n    assert [%DB.Dataset{id: ^d3_id}] = %{\"format\" => \"csv\"} |> DB.Dataset.list_datasets() |> DB.Repo.all()\n    assert [] = %{\"format\" => \"NeTEx\"} |> DB.Dataset.list_datasets() |> DB.Repo.all()\n  end\n\n  test \"search for datasets published by an organization\" do\n    %DB.Organization{id: org_id} = insert(:organization)\n    %Dataset{id: dataset_id} = insert(:dataset, organization_id: org_id, is_active: true)\n    # other dataset by another org, shouldn’t be found\n    %DB.Organization{id: other_org_id} = insert(:organization)\n    %Dataset{id: _other_dataset_id} = insert(:dataset, organization_id: other_org_id, is_active: true)\n\n    assert [%Dataset{id: ^dataset_id}] =\n             %{\"organization_id\" => to_string(org_id)} |> Dataset.list_datasets() |> Repo.all()\n  end\n\n  test \"a dataset labelled as base nationale published by us is first without filters\" do\n    %{id: base_nationale_dataset_id} =\n      insert(:dataset,\n        type: \"public-transit\",\n        custom_title: \"Base nationale des GTFS\",\n        organization_id: Application.fetch_env!(:transport, :datagouvfr_transport_publisher_id)\n      )\n\n    results = %{\"type\" => \"public-transit\"} |> Dataset.list_datasets() |> Repo.all()\n    assert Enum.count(results) == 3\n    assert %Dataset{id: ^base_nationale_dataset_id} = hd(results)\n\n    %{id: first_dataset_id} =\n      %{\"type\" => \"public-transit\", \"q\" => \"angers\"} |> Dataset.list_datasets() |> Repo.all() |> hd()\n\n    assert first_dataset_id != base_nationale_dataset_id\n  end\n\n  test \"uses population and custom_title to sort by default\" do\n    type = \"private-parking\"\n\n    # small population: last result expected\n    small_dataset = insert(:dataset, is_active: true, type: type, custom_title: \"AAA\", population: 10)\n    # equal population, alphabetical order expected\n    big_dataset_1 = insert(:dataset, is_active: true, type: type, custom_title: \"ABC\", population: 20)\n    big_dataset_2 = insert(:dataset, is_active: true, type: type, custom_title: \"BBB\", population: 20)\n    # national dataset, population is null\n    national_dataset = insert(:dataset, is_active: true, type: type, population: 30)\n\n    assert [national_dataset.id, big_dataset_1.id, big_dataset_2.id, small_dataset.id] ==\n             %{\"type\" => type} |> Dataset.list_datasets() |> DB.Repo.all() |> Enum.map(& &1.id)\n  end\n\n  test \"hidden datasets are not included\" do\n    hidden_dataset = insert(:dataset, is_active: true, is_hidden: true)\n\n    refute hidden_dataset.id in (%{} |> DB.Dataset.list_datasets() |> DB.Repo.all() |> Enum.map(& &1.id))\n  end\n\n  test \"archived datasets are not included\" do\n    archived_dataset = insert(:dataset, is_active: true, archived_at: DateTime.utc_now())\n\n    assert DB.Dataset.archived?(archived_dataset)\n    refute archived_dataset.id in (%{} |> DB.Dataset.list_datasets() |> DB.Repo.all() |> Enum.map(& &1.id))\n  end\n\n  test \"sort by most_recent\" do\n    today = DateTime.utc_now()\n    last_week = DateTime.add(today, -7, :day)\n    type = \"private-parking\"\n\n    older_dataset = insert(:dataset, type: type, inserted_at: last_week)\n    recent_dataset = insert(:dataset, type: type, inserted_at: today)\n    null_dataset = insert(:dataset, type: type) |> Ecto.Changeset.change(%{inserted_at: nil}) |> DB.Repo.update!()\n\n    assert [recent_dataset.id, older_dataset.id, null_dataset.id] ==\n             %{\"type\" => type, \"order_by\" => \"most_recent\"}\n             |> Dataset.list_datasets()\n             |> DB.Repo.all()\n             |> Enum.map(& &1.id)\n  end\n\n  test \"sort by alpha\" do\n    type = \"private-parking\"\n\n    b_dataset = insert(:dataset, type: type, custom_title: \"B\")\n    a_dataset = insert(:dataset, type: type, custom_title: \"A\")\n\n    assert [a_dataset.id, b_dataset.id] ==\n             %{\"type\" => type, \"order_by\" => \"alpha\"} |> Dataset.list_datasets() |> DB.Repo.all() |> Enum.map(& &1.id)\n  end\n\n  test \"search by department\" do\n    departement = insert(:departement)\n    commune = insert(:commune, insee: \"1\", departement_insee: departement.insee)\n    epci = insert(:epci, insee: \"2\")\n    insert(:commune, insee: \"3\", departement_insee: departement.insee, epci_insee: epci.insee)\n    region = insert(:region, insee: \"4\")\n    insert(:commune, insee: \"5\", departement_insee: departement.insee, region_id: region.id)\n\n    departement_ad =\n      insert(:administrative_division,\n        type: :departement,\n        type_insee: \"departement_#{departement.insee}\",\n        insee: departement.insee\n      )\n\n    commune_ad =\n      insert(:administrative_division, type: :commune, type_insee: \"commune_#{commune.insee}\", insee: commune.insee)\n\n    epci_ad = insert(:administrative_division, type: :epci, type_insee: \"epci_#{epci.insee}\", insee: epci.insee)\n\n    region_ad =\n      insert(:administrative_division, type: :region, type_insee: \"region_#{region.insee}\", insee: region.insee)\n\n    d1 = insert(:dataset, declarative_spatial_areas: [departement_ad])\n    d2 = insert(:dataset, declarative_spatial_areas: [commune_ad])\n    d3 = insert(:dataset, declarative_spatial_areas: [epci_ad])\n    d4 = insert(:dataset, declarative_spatial_areas: [region_ad])\n    insert(:dataset)\n\n    assert [d1.id, d2.id, d3.id, d4.id] ==\n             %{\"departement\" => departement.insee}\n             |> DB.Dataset.list_datasets()\n             |> DB.Repo.all()\n             |> Enum.map(& &1.id)\n             |> Enum.sort()\n  end\n\n  test \"search by region\" do\n    region = insert(:region, insee: \"1\")\n    departement = insert(:departement, region_insee: region.insee)\n    commune = insert(:commune, insee: \"2\", region_id: region.id)\n    epci = insert(:epci, insee: \"3\")\n    insert(:commune, insee: \"4\", region_id: region.id, epci_insee: epci.insee)\n\n    departement_ad =\n      insert(:administrative_division,\n        type: :departement,\n        type_insee: \"departement_#{departement.insee}\",\n        insee: departement.insee\n      )\n\n    commune_ad =\n      insert(:administrative_division, type: :commune, type_insee: \"commune_#{commune.insee}\", insee: commune.insee)\n\n    epci_ad = insert(:administrative_division, type: :epci, type_insee: \"epci_#{epci.insee}\", insee: epci.insee)\n\n    region_ad =\n      insert(:administrative_division, type: :region, type_insee: \"region_#{region.insee}\", insee: region.insee)\n\n    d1 = insert(:dataset, population: 4, declarative_spatial_areas: [region_ad])\n    d2 = insert(:dataset, population: 3, declarative_spatial_areas: [departement_ad])\n    d3 = insert(:dataset, population: 2, declarative_spatial_areas: [epci_ad])\n    d4 = insert(:dataset, population: 1, declarative_spatial_areas: [commune_ad])\n    # Other dataset is not included\n    insert(:dataset)\n\n    assert [d1.id, d2.id, d3.id, d4.id] ==\n             %{\"region\" => region.insee}\n             |> DB.Dataset.list_datasets()\n             |> DB.Repo.all()\n             |> Enum.map(& &1.id)\n  end\n\n  test \"search by commune\" do\n    departement = insert(:departement)\n    region = insert(:region, insee: \"1\")\n    epci = insert(:epci, insee: \"2\")\n\n    commune =\n      insert(:commune, insee: \"3\", departement_insee: departement.insee, region_id: region.id, epci_insee: epci.insee)\n\n    departement_ad =\n      insert(:administrative_division,\n        type: :departement,\n        type_insee: \"departement_#{departement.insee}\",\n        insee: departement.insee\n      )\n\n    commune_ad =\n      insert(:administrative_division, type: :commune, type_insee: \"commune_#{commune.insee}\", insee: commune.insee)\n\n    epci_ad = insert(:administrative_division, type: :epci, type_insee: \"epci_#{epci.insee}\", insee: epci.insee)\n\n    region_ad =\n      insert(:administrative_division, type: :region, type_insee: \"region_#{region.insee}\", insee: region.insee)\n\n    d1 = insert(:dataset, population: 4, declarative_spatial_areas: [region_ad])\n    d2 = insert(:dataset, population: 3, declarative_spatial_areas: [departement_ad])\n    d3 = insert(:dataset, population: 2, declarative_spatial_areas: [epci_ad])\n    d4 = insert(:dataset, population: 1, declarative_spatial_areas: [commune_ad])\n    # Other dataset is not included\n    insert(:dataset)\n\n    assert [d1.id, d2.id, d3.id, d4.id] ==\n             %{\"commune\" => commune.insee}\n             |> DB.Dataset.list_datasets()\n             |> DB.Repo.all()\n             |> Enum.map(& &1.id)\n  end\n\n  test \"search by EPCI\" do\n    epci = insert(:epci, insee: \"1\")\n    departement = insert(:departement)\n    region = insert(:region, insee: \"2\")\n\n    commune =\n      insert(:commune, insee: \"3\", departement_insee: departement.insee, region_id: region.id, epci_insee: epci.insee)\n\n    departement_ad =\n      insert(:administrative_division,\n        type: :departement,\n        type_insee: \"departement_#{departement.insee}\",\n        insee: departement.insee\n      )\n\n    commune_ad =\n      insert(:administrative_division, type: :commune, type_insee: \"commune_#{commune.insee}\", insee: commune.insee)\n\n    epci_ad = insert(:administrative_division, type: :epci, type_insee: \"epci_#{epci.insee}\", insee: epci.insee)\n\n    region_ad =\n      insert(:administrative_division, type: :region, type_insee: \"region_#{region.insee}\", insee: region.insee)\n\n    d1 = insert(:dataset, population: 4, declarative_spatial_areas: [region_ad])\n    d2 = insert(:dataset, population: 3, declarative_spatial_areas: [departement_ad])\n    d3 = insert(:dataset, population: 2, declarative_spatial_areas: [epci_ad])\n    d4 = insert(:dataset, population: 1, declarative_spatial_areas: [commune_ad])\n    # Other dataset is not included\n    insert(:dataset)\n\n    assert [d1.id, d2.id, d3.id, d4.id] ==\n             %{\"epci\" => epci.insee}\n             |> DB.Dataset.list_datasets()\n             |> DB.Repo.all()\n             |> Enum.map(& &1.id)\n  end\n\n  test \"search by subtype\" do\n    ds_urban = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"urban\")\n    ds_intercity = insert(:dataset_subtype, parent_type: \"public-transit\", slug: \"intercity\")\n\n    d1 = insert(:dataset, type: \"public-transit\", dataset_subtypes: [ds_urban])\n    d2 = insert(:dataset, type: \"public-transit\", dataset_subtypes: [ds_intercity])\n    _d3 = insert(:dataset, type: \"public-transit\", dataset_subtypes: [])\n\n    assert [d1.id] ==\n             %{\"type\" => \"public-transit\", \"subtype\" => \"urban\"}\n             |> DB.Dataset.list_datasets()\n             |> DB.Repo.all()\n             |> Enum.map(& &1.id)\n\n    assert [d2.id] ==\n             %{\"type\" => \"public-transit\", \"subtype\" => \"intercity\"}\n             |> DB.Dataset.list_datasets()\n             |> DB.Repo.all()\n             |> Enum.map(& &1.id)\n  end\n\n  test \"search by transport offer\" do\n    o1 = insert(:offer)\n    o2 = insert(:offer)\n\n    d1 = insert(:dataset, offers: [o1], custom_title: \"A\")\n    d2 = insert(:dataset, offers: [o2])\n    d3 = insert(:dataset, offers: [o1], custom_title: \"B\")\n\n    assert [d1.id, d3.id] ==\n             %{\"identifiant_offre\" => o1.identifiant_offre}\n             |> DB.Dataset.list_datasets()\n             |> DB.Repo.all()\n             |> Enum.map(& &1.id)\n\n    assert [d2.id] ==\n             %{\"identifiant_offre\" => o2.identifiant_offre}\n             |> DB.Dataset.list_datasets()\n             |> DB.Repo.all()\n             |> Enum.map(& &1.id)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/discussion_controller_test.exs",
    "content": "defmodule TransportWeb.DiscussionControllerTest do\n  use TransportWeb.ConnCase, async: false\n  @moduletag :capture_log\n  import DB.Factory\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"post_discussion\" do\n    test \"success case\", %{conn: conn} do\n      %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      %DB.Dataset{id: dataset_id, datagouv_id: datagouv_id} = dataset = insert(:dataset)\n      title = \"J'ai une question\"\n      comment = \"Coucou\"\n\n      Datagouvfr.Client.Discussions.Mock\n      |> expect(:post, fn %Plug.Conn{}, ^datagouv_id, ^title, ^comment ->\n        {:ok, nil}\n      end)\n\n      conn =\n        conn\n        |> Phoenix.ConnTest.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> post(\n          discussion_path(conn, :post_discussion, datagouv_id, %{\n            \"comment\" => comment,\n            \"title\" => title,\n            \"dataset_slug\" => dataset.slug\n          })\n        )\n\n      assert redirected_to(conn, 302) == dataset_path(conn, :details, dataset.slug)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Nouvelle discussion commencée\"\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :post_discussion,\n                 contact_id: ^contact_id,\n                 metadata: %{\"dataset_id\" => ^dataset_id}\n               }\n             ] = DB.FeatureUsage |> DB.Repo.all()\n    end\n  end\n\n  describe \"post_answer\" do\n    test \"success case\", %{conn: conn} do\n      %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n      discussion_id = Ecto.UUID.generate()\n      comment = \"Coucou\"\n\n      Datagouvfr.Client.Discussions.Mock\n      |> expect(:post, fn %Plug.Conn{}, ^discussion_id, ^comment, close: true ->\n        {:ok, nil}\n      end)\n\n      conn =\n        conn\n        |> Phoenix.ConnTest.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> post(\n          discussion_path(conn, :post_answer, dataset.datagouv_id, discussion_id, %{\n            \"comment\" => comment,\n            \"dataset_slug\" => dataset.slug,\n            \"answer_and_close\" => true\n          })\n        )\n\n      assert redirected_to(conn, 302) == dataset_path(conn, :details, dataset.slug)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Réponse publiée\"\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :post_comment,\n                 contact_id: ^contact_id,\n                 metadata: %{\"dataset_id\" => ^dataset_id}\n               }\n             ] = DB.FeatureUsage |> DB.Repo.all()\n    end\n\n    test \"error from the API\", %{conn: conn} do\n      %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n      discussion_id = Ecto.UUID.generate()\n      comment = \"Coucou\"\n\n      Datagouvfr.Client.Discussions.Mock\n      |> expect(:post, fn %Plug.Conn{}, ^discussion_id, ^comment, close: false ->\n        {:error, %{\"message\" => \"The server could not verify that you are authorized to access the URL requested\"}}\n      end)\n\n      conn =\n        conn\n        |> Phoenix.ConnTest.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> post(\n          discussion_path(conn, :post_answer, dataset.datagouv_id, discussion_id, %{\n            \"comment\" => comment,\n            \"dataset_slug\" => dataset.slug\n          })\n        )\n\n      assert redirected_to(conn, 302) == dataset_path(conn, :details, dataset.slug)\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) =~ \"Impossible de publier la réponse\"\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :post_comment,\n                 contact_id: ^contact_id,\n                 metadata: %{\"dataset_id\" => ^dataset_id}\n               }\n             ] = DB.FeatureUsage |> DB.Repo.all()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/espace_producteur_controller_test.exs",
    "content": "defmodule TransportWeb.EspaceProducteurControllerTest do\n  use Oban.Testing, repo: DB.Repo\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n  import Phoenix.LiveViewTest\n  import Plug.Test, only: [init_test_session: 2]\n  import Mox\n\n  @gtfs_path \"#{__DIR__}/../../fixture/files/gtfs.zip\"\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"GET /espace_producteur\" do\n    test \"requires authentication\", %{conn: conn} do\n      conn = conn |> get(espace_producteur_path(conn, :espace_producteur))\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Vous devez être préalablement connecté\"\n      assert redirected_to(conn, 302) == page_path(conn, :infos_producteurs)\n    end\n\n    test \"renders successfully and finds datasets using organization IDs\", %{conn: conn} do\n      dataset = insert(:dataset, custom_title: custom_title = \"Foobar\")\n\n      resource = insert(:resource, url: \"https://static.data.gouv.fr/file\", dataset: dataset)\n      assert DB.Resource.hosted_on_datagouv?(resource)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      last_year = Date.utc_today().year - 1\n\n      insert(:dataset_monthly_metric,\n        dataset_datagouv_id: dataset.datagouv_id,\n        year_month: \"#{last_year}-12\",\n        metric_name: :downloads,\n        count: 120_250\n      )\n\n      assert dataset |> DB.Repo.preload(:resources) |> TransportWeb.EspaceProducteurView.show_downloads_stats?()\n\n      conn =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :espace_producteur))\n\n      # `is_producer` attribute has been set for the current user\n      assert %{\"is_producer\" => true} = conn |> get_session(:current_user)\n\n      {:ok, doc} = conn |> html_response(200) |> Floki.parse_document()\n      assert Floki.find(doc, \".message--error\") == []\n\n      assert doc |> Floki.find(\"h3.dataset__title\") |> Enum.map(&(&1 |> Floki.text() |> String.trim())) == [\n               custom_title\n             ]\n    end\n\n    test \"action items\", %{conn: conn} do\n      menu_items = fn %Plug.Conn{} = conn ->\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :espace_producteur))\n        |> html_response(200)\n        |> Floki.parse_document!()\n        |> Floki.find(\".action-panel h4\")\n        |> Floki.text(sep: \"|\")\n        |> String.replace(~r/(\\s)+/, \" \")\n        |> String.split(\"|\")\n        |> Enum.map(&String.trim/1)\n      end\n\n      %DB.Dataset{organization_id: organization_id} = dataset = insert(:dataset)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, 3, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset, 3)\n\n      assert menu_items.(conn) == [\n               \"Tester vos jeux de données\",\n               \"Publier un jeu de données\",\n               \"Recevoir des notifications\",\n               \"Discussions sans réponse\"\n             ]\n\n      # Should show download stats\n      resource = insert(:resource, url: \"https://static.data.gouv.fr/file\", dataset: dataset)\n      assert DB.Resource.hosted_on_datagouv?(resource)\n\n      assert menu_items.(conn) == [\n               \"Tester vos jeux de données\",\n               \"Publier un jeu de données\",\n               \"Recevoir des notifications\",\n               \"Vos statistiques de téléchargements\",\n               \"Discussions sans réponse\"\n             ]\n\n      # Should show proxy stats\n      resource = insert(:resource, url: \"https://proxy.transport.data.gouv.fr/url\", dataset: dataset)\n      assert DB.Resource.served_by_proxy?(resource)\n\n      assert menu_items.(conn) == [\n               \"Tester vos jeux de données\",\n               \"Publier un jeu de données\",\n               \"Recevoir des notifications\",\n               \"Vos statistiques proxy\",\n               \"Vos statistiques de téléchargements\",\n               \"Discussions sans réponse\"\n             ]\n    end\n\n    test \"when user is not a producer\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      conn\n      |> init_test_session(%{\"is_producer\" => false, \"current_user\" => %{\"id\" => contact.datagouv_user_id}})\n      |> get(espace_producteur_path(conn, :espace_producteur))\n      |> html_response(200)\n    end\n\n    test \"with an OAuth2 error\", %{conn: conn} do\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:error, \"its broken\"} end)\n\n      conn =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :espace_producteur))\n\n      {:ok, doc} = conn |> html_response(200) |> Floki.parse_document()\n      assert doc |> Floki.find(\".dataset-item\") |> length == 0\n\n      assert doc |> Floki.find(\".message--error\") |> Floki.text() ==\n               \"Une erreur a eu lieu lors de la récupération de vos ressources\"\n    end\n\n    test \"important information panel\", %{conn: conn} do\n      %DB.Dataset{organization_id: organization_id, datagouv_id: datagouv_id} = dataset = insert(:dataset)\n      resource = insert(:resource, title: \"GTFS Super\", format: \"GTFS\", is_available: false, dataset: dataset)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n      Datagouvfr.Client.Organization.Mock\n      |> expect(:get, fn ^organization_id, [restrict_fields: true] ->\n        {:ok, %{\"members\" => []}}\n      end)\n\n      discussion = %{\n        \"closed\" => nil,\n        \"discussion\" => [\n          %{\"posted_on\" => DateTime.utc_now() |> DateTime.to_iso8601(), \"posted_by\" => %{\"id\" => Ecto.UUID.generate()}}\n        ],\n        \"id\" => discussion_id = Ecto.UUID.generate()\n      }\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn ^datagouv_id -> [discussion] end)\n\n      doc =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :espace_producteur))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      # Filter out recent_features row if present (during first 7 days of month)\n      all_tbody_rows = doc |> Floki.find(~s|[data-name=\"important-information\"] tbody tr|)\n\n      tbody_rows_without_recent_features =\n        all_tbody_rows\n        |> Enum.reject(fn row ->\n          row |> Floki.text() |> String.contains?(\"Nouvelles fonctionnalités\")\n        end)\n\n      # Expected tbody structure without recent_features\n      expected_tbody_rows = [\n        {\"tr\", [],\n         [\n           {\"td\", [],\n            [\n              {\"a\", [{\"href\", dataset_path(conn, :details, dataset.slug)}, {\"target\", \"_blank\"}],\n               [{\"i\", [{\"class\", \"fa fa-external-link\"}], []}, \"\\n      Hello\\n    \"]}\n            ]},\n           {\"td\", [], []},\n           {\"td\", [], [\"Discussions sans réponse\"]},\n           {\"td\", [],\n            [\n              {\"a\",\n               [\n                 {\"href\", dataset_path(conn, :details, dataset.slug) <> \"#discussion-\" <> discussion_id},\n                 {\"class\", \"button-outline primary small\"},\n                 {\"data-tracking-category\", \"espace_producteur\"},\n                 {\"data-tracking-action\", \"important_information_see_discussion_button\"}\n               ],\n               [\n                 {\"i\", [{\"class\", \"icon fas fa-comments\"}], []},\n                 \"Voir la discussion\\n  \"\n               ]}\n            ]}\n         ]},\n        {\"tr\", [],\n         [\n           {\"td\", [],\n            [\n              {\"a\", [{\"href\", dataset_path(conn, :details, dataset.slug)}, {\"target\", \"_blank\"}],\n               [{\"i\", [{\"class\", \"fa fa-external-link\"}], []}, \"\\n      Hello\\n    \"]}\n            ]},\n           {\"td\", [], [\"GTFS Super \", {\"span\", [{\"class\", \"label\"}], [\"GTFS\"]}]},\n           {\"td\", [], [\"Ressource indisponible\"]},\n           {\"td\", [],\n            [\n              {\"a\",\n               [\n                 {\"href\", espace_producteur_path(conn, :edit_resource, dataset.id, resource.datagouv_id)},\n                 {\"class\", \"button-outline primary small\"},\n                 {\"data-tracking-category\", \"espace_producteur\"},\n                 {\"data-tracking-action\", \"important_information_edit_resource_button\"}\n               ],\n               [\n                 {\"i\", [{\"class\", \"fa fa-edit\"}], []},\n                 \"Modifier la ressource\\n  \"\n               ]}\n            ]}\n         ]}\n      ]\n\n      assert tbody_rows_without_recent_features == expected_tbody_rows\n\n      # Verify the complete structure with the filtered tbody\n      assert doc |> Floki.find(~s|[data-name=\"important-information\"]|) |> length() == 1\n\n      assert doc |> Floki.find(~s|[data-name=\"important-information\"] h2|) |> Floki.text() ==\n               \"Informations importantes concernant vos ressources\"\n\n      assert doc\n             |> Floki.find(~s|[data-name=\"important-information\"] p|)\n             |> Floki.text() ==\n               \"Les informations suivantes requièrent votre attention.\"\n\n      # Verify table structure\n      assert doc |> Floki.find(~s|[data-name=\"important-information\"] table|) |> length() == 1\n\n      # If we're in the first 7 days, recent_features row should be present\n      if Date.utc_today().day in 1..7 do\n        assert length(all_tbody_rows) == 3\n\n        assert Enum.any?(all_tbody_rows, fn row ->\n                 row |> Floki.text() |> String.contains?(\"Nouvelles fonctionnalités\")\n               end)\n      else\n        assert length(all_tbody_rows) == 2\n      end\n    end\n  end\n\n  test \"important_information for expiring_resource\", %{conn: conn} do\n    %{resource: resource, dataset: dataset, multi_validation: multi_validation} =\n      insert_resource_and_friends(Date.utc_today())\n\n    multi_validation = multi_validation |> DB.Repo.preload(:metadata)\n\n    start_date =\n      DB.MultiValidation.get_metadata_info(multi_validation, \"start_date\") |> Shared.DateTimeDisplay.format_date(\"fr\")\n\n    end_date =\n      DB.MultiValidation.get_metadata_info(multi_validation, \"end_date\") |> Shared.DateTimeDisplay.format_date(\"fr\")\n\n    assert render_component(&TransportWeb.EspaceProducteurView.important_information/1,\n             issue: resource,\n             dataset: dataset,\n             check_name: :expiring_resource,\n             multi_validation: multi_validation,\n             locale: \"fr\",\n             mode: :producer,\n             conn: conn\n           )\n           |> Floki.parse_document!() == [\n             {\"tr\", [],\n              [\n                {\"td\", [],\n                 [\n                   {\"a\", [{\"href\", dataset_path(TransportWeb.Endpoint, :details, dataset.slug)}, {\"target\", \"_blank\"}],\n                    [{\"i\", [{\"class\", \"fa fa-external-link\"}], []}, \"\\n      Hello\\n    \"]}\n                 ]},\n                {\"td\", [],\n                 [\n                   \"GTFS.zip \",\n                   {\"span\", [{\"class\", \"label\"}], [\"GTFS\"]},\n                   {\"div\", [{\"title\", \"Période de validité\"}],\n                    [\n                      {\"i\", [{\"class\", \"icon icon--calendar-alt\"}, {\"aria-hidden\", \"true\"}], []},\n                      {\"span\", [], [start_date]},\n                      {\"i\",\n                       [\n                         {\"class\", \"icon icon--right-arrow ml-05-em\"},\n                         {\"aria-hidden\", \"true\"}\n                       ], []},\n                      {\"span\", [{\"class\", \"resource__summary--Error\"}], [end_date]}\n                    ]}\n                 ]},\n                {\"td\", [], [\"Ressource expirée\"]},\n                {\"td\", [],\n                 [\n                   {\"a\",\n                    [\n                      {\"href\",\n                       espace_producteur_path(TransportWeb.Endpoint, :edit_resource, dataset.id, resource.datagouv_id)},\n                      {\"class\", \"button-outline primary small\"},\n                      {\"data-tracking-category\", \"espace_producteur\"},\n                      {\"data-tracking-action\", \"important_information_edit_resource_button\"}\n                    ], [{\"i\", [{\"class\", \"fa fa-edit\"}], []}, \"Modifier la ressource\\n  \"]}\n                 ]}\n              ]}\n           ]\n  end\n\n  describe \"edit_dataset\" do\n    test \"requires authentication\", %{conn: conn} do\n      conn |> get(espace_producteur_path(conn, :edit_dataset, 42)) |> assert_redirects_to_info_page()\n    end\n\n    test \"redirects if you're not a member of the dataset organization\", %{conn: conn} do\n      dataset = insert(:dataset)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => []}} end)\n\n      conn =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :edit_dataset, dataset.id))\n\n      assert redirected_to(conn, 302) == espace_producteur_path(conn, :espace_producteur)\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) == \"Impossible de récupérer ce jeu de données pour le moment\"\n    end\n\n    test \"renders successfully and finds the dataset using organization IDs\", %{conn: conn} do\n      %DB.Dataset{organization_id: organization_id, datagouv_id: dataset_datagouv_id} = dataset = insert(:dataset)\n\n      %DB.Resource{datagouv_id: resource_datagouv_id} = resource = insert(:resource, dataset: dataset)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, 2, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 2, fn ^dataset_datagouv_id ->\n        dataset_datagouv_get_response(dataset_datagouv_id, resource_id: resource_datagouv_id)\n      end)\n\n      mock_organization_and_discussion(dataset, 2)\n\n      td_text = fn doc ->\n        doc |> Floki.find(\"td.align-right\") |> Floki.text() |> String.replace(~r/(\\s)+/, \" \") |> String.trim()\n      end\n\n      doc =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :edit_dataset, dataset.id))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert td_text.(doc) == \"Modifier la ressource Supprimer la ressource\"\n\n      # With a reuser improved data\n      insert(:reuser_improved_data, dataset: dataset, resource: resource)\n\n      doc =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :edit_dataset, dataset.id))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert td_text.(doc) == \"Modifier la ressource GTFS réutilisateurSupprimer la ressource\"\n    end\n\n    test \"when a custom logo is set\", %{conn: conn} do\n      %DB.Dataset{\n        id: dataset_id,\n        datagouv_id: datagouv_id,\n        organization_id: organization_id\n      } = dataset = insert(:dataset, custom_logo: \"https://example.com/pic.png\")\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, fn ^datagouv_id -> {:ok, generate_dataset_payload(datagouv_id)} end)\n\n      content =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :edit_dataset, dataset_id))\n        |> html_response(200)\n\n      assert content\n             |> Floki.parse_document!()\n             |> Floki.find(~s{.producer-actions button[type=\"submit\"]})\n             |> Floki.text() =~ \"Supprimer le logo personnalisé\"\n    end\n\n    test \"validity dates, validity and important information for a GTFS\", %{conn: conn} do\n      %DB.Dataset{\n        id: dataset_id,\n        datagouv_id: datagouv_id,\n        organization_id: organization_id\n      } = dataset = insert(:dataset)\n\n      %{resource: %DB.Resource{} = resource} = insert_resource_and_friends(~D[2025-12-25], dataset: dataset)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, fn ^datagouv_id ->\n        dataset_datagouv_get_response(datagouv_id, resource_id: resource.datagouv_id)\n      end)\n\n      doc =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :edit_dataset, dataset_id))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert doc |> Floki.find(~s|[data-name=\"validity-dates\"]|) == [\n               {\"td\", [{\"data-name\", \"validity-dates\"}],\n                [\n                  {\"div\", [{\"title\", \"Période de validité\"}],\n                   [\n                     {\"i\", [{\"class\", \"icon icon--calendar-alt\"}, {\"aria-hidden\", \"true\"}], []},\n                     {\"span\", [], [\"26/10/2025\"]},\n                     {\"i\", [{\"class\", \"icon icon--right-arrow ml-05-em\"}, {\"aria-hidden\", \"true\"}], []},\n                     {\"span\", [{\"class\", \"resource__summary--Error\"}], [\"25/12/2025\"]}\n                   ]}\n                ]}\n             ]\n\n      assert doc |> Floki.find(~s|[data-name=\"validity\"]|) == [\n               {\"td\", [{\"data-name\", \"validity\"}, {\"class\", \"no-underline\"}],\n                [\n                  {\"div\", [{\"class\", \"pb-24\"}],\n                   [\n                     {\"a\", [{\"href\", resource_path(conn, :details, resource.id) <> \"#validation-report\"}],\n                      [{\"span\", [{\"class\", \"resource__summary--Success\"}], [\"\\n\\n          Pas d'erreur\\n\\n      \"]}]},\n                     {\"span\", [], [\"lors de la validation\"]}\n                   ]}\n                ]}\n             ]\n\n      assert doc |> Floki.find(~s|[data-name=\"important-information\"] h2|) |> Floki.text() ==\n               \"Informations importantes concernant vos ressources\"\n    end\n\n    test \"validity for a TableSchema\", %{conn: conn} do\n      %DB.Dataset{\n        id: dataset_id,\n        datagouv_id: datagouv_id,\n        organization_id: organization_id\n      } = dataset = insert(:dataset)\n\n      resource = insert(:resource, dataset: dataset)\n\n      schema_name = \"etalab/foo\"\n\n      result = %{\"has_errors\" => true, \"errors_count\" => 1, \"validation_performed\" => true, \"errors\" => [\"oops\"]}\n\n      insert(:multi_validation,\n        resource_history: insert(:resource_history, resource_id: resource.id, payload: %{\"schema_name\" => schema_name}),\n        validator: Transport.Validators.TableSchema.validator_name(),\n        result: result,\n        digest: Transport.Validators.TableSchema.digest(result)\n      )\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, fn ^datagouv_id ->\n        dataset_datagouv_get_response(datagouv_id, resource_id: resource.datagouv_id)\n      end)\n\n      doc =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :edit_dataset, dataset_id))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert doc |> Floki.find(~s|[data-name=\"validity-dates\"|) == [{\"td\", [{\"data-name\", \"validity-dates\"}], []}]\n\n      assert doc |> Floki.find(~s|[data-name=\"validity\"|) == [\n               {\"td\", [{\"data-name\", \"validity\"}, {\"class\", \"no-underline\"}],\n                [\n                  {\"div\", [{\"class\", \"pb-24\"}],\n                   [\n                     {\"a\",\n                      [\n                        {\"href\", resource_path(conn, :details, resource.id) <> \"#validation-report\"}\n                      ],\n                      [{\"span\", [{\"class\", \"resource__summary--Error\"}], [\"\\n\\n\\n\\n            1 erreur\\n\\n        \"]}]},\n                     {\"span\", [], [\"lors de la validation\"]}\n                   ]}\n                ]}\n             ]\n    end\n\n    test \"when another dataset has failing dataset checks\", %{conn: conn} do\n      %DB.Dataset{\n        id: dataset_id,\n        datagouv_id: datagouv_id,\n        organization_id: organization_id\n      } = dataset = insert(:dataset)\n\n      resource = insert(:resource, dataset: dataset)\n\n      %DB.Dataset{datagouv_id: d2_datagouvid} = d2 = insert(:dataset, organization_id: organization_id)\n      insert(:resource, dataset: d2, is_available: false)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, 2, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n      mock_organization_and_discussion(d2)\n\n      mock_organization_and_discussion(dataset)\n      mock_organization_and_discussion(d2)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, fn ^datagouv_id ->\n        dataset_datagouv_get_response(datagouv_id, resource_id: resource.datagouv_id)\n      end)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, fn ^d2_datagouvid ->\n        dataset_datagouv_get_response(d2_datagouvid, resource_id: resource.datagouv_id)\n      end)\n\n      # Panel is not displayed\n      doc =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :edit_dataset, dataset_id))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      # important-information may be present if we're in first 7 days (recent_features banner)\n      # but should not contain any real issues (only recent_features if present)\n      important_information_rows = doc |> Floki.find(~s|[data-name=\"important-information\"] tbody tr|)\n\n      real_issues_rows =\n        important_information_rows\n        |> Enum.reject(fn row ->\n          row |> Floki.text() |> String.contains?(\"Nouvelles fonctionnalités\")\n        end)\n\n      assert Enum.empty?(real_issues_rows)\n\n      # Other dataset has the panel displayed\n      doc =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :edit_dataset, d2.id))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      refute doc |> Floki.find(~s|[data-name=\"important-information\"]|) |> Enum.empty?()\n    end\n  end\n\n  describe \"upload_logo\" do\n    test \"requires authentication\", %{conn: conn} do\n      conn\n      |> post(espace_producteur_path(conn, :upload_logo, 42), %{\"upload\" => %{\"file\" => %Plug.Upload{}}})\n      |> assert_redirects_to_info_page()\n    end\n\n    test \"redirects if you're not a member of the dataset organization\", %{conn: conn} do\n      dataset = insert(:dataset)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => []}} end)\n\n      conn =\n        conn\n        |> init_session_for_producer()\n        |> post(espace_producteur_path(conn, :upload_logo, dataset.id), %{\"upload\" => %{\"file\" => %Plug.Upload{}}})\n\n      assert redirected_to(conn, 302) == espace_producteur_path(conn, :espace_producteur)\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) == \"Impossible de récupérer ce jeu de données pour le moment\"\n    end\n\n    test \"uploads the logo to S3, enqueue a job and redirect\", %{conn: conn} do\n      %DB.Dataset{organization_id: organization_id, datagouv_id: datagouv_id} = dataset = insert(:dataset)\n\n      filename = \"sample.jpg\"\n      local_path = System.tmp_dir!() |> Path.join(filename)\n      upload_path = \"tmp_#{datagouv_id}.jpg\"\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.S3.Upload{\n                                src: %File.Stream{path: ^local_path},\n                                bucket: \"transport-data-gouv-fr-logos-test\",\n                                path: ^upload_path,\n                                opts: [acl: :private],\n                                service: :s3\n                              } ->\n        :ok\n      end)\n\n      %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      conn =\n        conn\n        |> init_test_session(current_user: %{\"id\" => contact.datagouv_user_id, \"is_producer\" => true})\n        |> post(espace_producteur_path(conn, :upload_logo, dataset.id), %{\n          \"upload\" => %{\"file\" => %Plug.Upload{path: local_path, filename: filename}}\n        })\n\n      assert [\n               %Oban.Job{\n                 worker: \"Transport.Jobs.CustomLogoConversionJob\",\n                 args: %{\"datagouv_id\" => ^datagouv_id, \"path\" => ^upload_path}\n               }\n             ] = all_enqueued()\n\n      assert redirected_to(conn, 302) == espace_producteur_path(conn, :espace_producteur)\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :upload_logo,\n                 contact_id: ^contact_id,\n                 metadata: %{\n                   \"dataset_datagouv_id\" => ^datagouv_id\n                 }\n               }\n             ] = DB.Repo.all(DB.FeatureUsage)\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) ==\n               \"Votre logo a bien été reçu. Il sera remplacé dans quelques instants.\"\n    end\n  end\n\n  describe \"remove_custom_logo\" do\n    test \"requires authentication\", %{conn: conn} do\n      conn |> delete(espace_producteur_path(conn, :remove_custom_logo, 42)) |> assert_redirects_to_info_page()\n    end\n\n    test \"redirects if you're not a member of the dataset organization\", %{conn: conn} do\n      dataset = insert(:dataset)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => []}} end)\n\n      conn =\n        conn\n        |> init_session_for_producer()\n        |> delete(espace_producteur_path(conn, :remove_custom_logo, dataset.id))\n\n      assert redirected_to(conn, 302) == espace_producteur_path(conn, :espace_producteur)\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) == \"Impossible de récupérer ce jeu de données pour le moment\"\n    end\n\n    test \"deletes objects and resets custom logos\", %{conn: conn} do\n      custom_logo_path = \"#{Ecto.UUID.generate()}.png\"\n      custom_full_logo_path = \"#{Ecto.UUID.generate()}_full.png\"\n      bucket_url = Transport.S3.permanent_url(:logos)\n\n      dataset =\n        insert(:dataset,\n          custom_logo: Path.join(bucket_url, custom_logo_path),\n          custom_full_logo: Path.join(bucket_url, custom_full_logo_path)\n        )\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      Transport.Test.S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:logos), custom_logo_path)\n      Transport.Test.S3TestUtils.s3_mocks_delete_object(Transport.S3.bucket_name(:logos), custom_full_logo_path)\n\n      conn =\n        conn\n        |> init_session_for_producer()\n        |> delete(espace_producteur_path(conn, :remove_custom_logo, dataset.id))\n\n      assert redirected_to(conn, 302) == espace_producteur_path(conn, :espace_producteur)\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) == \"Votre logo personnalisé a été supprimé.\"\n\n      assert %DB.Dataset{custom_logo: nil, custom_full_logo: nil, custom_logo_changed_at: custom_logo_changed_at} =\n               DB.Repo.reload!(dataset)\n\n      assert DateTime.diff(custom_logo_changed_at, DateTime.utc_now(), :second) < 3\n    end\n  end\n\n  describe \"proxy_statistics\" do\n    test \"requires authentication\", %{conn: conn} do\n      conn |> get(espace_producteur_path(conn, :proxy_statistics)) |> assert_redirects_to_info_page()\n    end\n\n    test \"redirects when there is an error when fetching datasets\", %{conn: conn} do\n      Datagouvfr.Client.User.Mock |> expect(:me, fn _conn -> {:error, nil} end)\n\n      conn =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :proxy_statistics))\n\n      assert redirected_to(conn, 302) == espace_producteur_path(conn, :espace_producteur)\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) ==\n               \"Une erreur a eu lieu lors de la récupération de vos ressources\"\n    end\n\n    test \"renders successfully with a resource handled by the proxy\", %{conn: conn} do\n      dataset = insert(:dataset, is_active: true, datagouv_id: Ecto.UUID.generate())\n\n      gtfs_rt_resource =\n        insert(:resource,\n          dataset: dataset,\n          format: \"gtfs-rt\",\n          url: \"https://proxy.transport.data.gouv.fr/resource/divia-dijon-gtfs-rt-trip-update\"\n        )\n\n      assert DB.Resource.served_by_proxy?(gtfs_rt_resource)\n      proxy_slug = DB.Resource.proxy_slug(gtfs_rt_resource)\n      assert proxy_slug == \"divia-dijon-gtfs-rt-trip-update\"\n\n      today = Transport.Telemetry.truncate_datetime_to_hour(DateTime.utc_now())\n\n      insert(:metrics,\n        target: \"proxy:#{proxy_slug}\",\n        event: \"proxy:request:external\",\n        count: 2,\n        period: today\n      )\n\n      insert(:metrics,\n        target: \"proxy:#{proxy_slug}\",\n        event: \"proxy:request:internal\",\n        count: 1,\n        period: today\n      )\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn _conn -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      html =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :proxy_statistics))\n        |> html_response(200)\n\n      assert_breadcrumb_content(html, [\"Espace producteur\", \"Statistiques du proxy Transport\"])\n\n      # Check that proxy statistics are displayed in metric cards\n      assert html =~ \"Requêtes gérées par le proxy\"\n      assert html =~ \"Requêtes transmises à la source\"\n      # Check that the metric values are displayed (formatted with spaces as thousand separator)\n      doc = html |> Floki.parse_document!()\n      assert doc |> Floki.find(~s|[data-name=total-proxy\"]|) |> Floki.text() |> String.trim() == \"2\"\n      assert doc |> Floki.find(~s|[data-name=total-upstream\"]|) |> Floki.text() |> String.trim() == \"1\"\n      # Check that the period is mentioned\n      assert html =~ \"sur les 15 derniers jours\"\n    end\n  end\n\n  describe \"download_statistics_csv\" do\n    test \"requires authentication\", %{conn: conn} do\n      conn |> get(espace_producteur_path(conn, :download_statistics_csv)) |> assert_redirects_to_info_page()\n    end\n\n    test \"redirects when there is an error when fetching datasets\", %{conn: conn} do\n      Datagouvfr.Client.User.Mock |> expect(:me, fn _conn -> {:error, nil} end)\n\n      conn = conn |> init_session_for_producer() |> get(espace_producteur_path(conn, :download_statistics_csv))\n\n      assert redirected_to(conn, 302) == espace_producteur_path(conn, :espace_producteur)\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) ==\n               \"Une erreur a eu lieu lors de la récupération de vos ressources\"\n    end\n\n    test \"renders successfully with a datagouv resource\", %{conn: conn} do\n      dataset = insert(:dataset)\n      resource = insert(:resource, dataset: dataset, url: \"https://static.data.gouv.fr/url\", title: \"GTFS.zip\")\n\n      assert DB.Resource.hosted_on_datagouv?(resource)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn _conn -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      insert(:resource_monthly_metric,\n        metric_name: :downloads,\n        dataset_datagouv_id: dataset.datagouv_id,\n        resource_datagouv_id: resource.datagouv_id,\n        count: 2,\n        year_month: \"2025-12\"\n      )\n\n      assert [dataset |> DB.Repo.preload(:resources)] |> DB.ResourceMonthlyMetric.download_statistics() == [\n               %{\n                 count: 2,\n                 dataset_title: dataset.custom_title,\n                 resource_title: resource.title,\n                 year_month: \"2025-12\",\n                 dataset_datagouv_id: dataset.datagouv_id,\n                 resource_datagouv_id: resource.datagouv_id\n               }\n             ]\n\n      response =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :download_statistics_csv))\n\n      assert response_content_type(response, :csv) == \"text/csv; charset=utf-8\"\n\n      assert Plug.Conn.get_resp_header(response, \"content-disposition\") == [\n               ~s(attachment; filename=\"download_statistics-#{Date.utc_today() |> Date.to_iso8601()}.csv\")\n             ]\n\n      assert [response(response, 200)] |> CSV.decode!(headers: true) |> Enum.to_list() == [\n               %{\n                 \"count\" => \"2\",\n                 \"dataset_datagouv_id\" => dataset.datagouv_id,\n                 \"dataset_title\" => dataset.custom_title,\n                 \"resource_datagouv_id\" => resource.datagouv_id,\n                 \"resource_title\" => \"GTFS.zip\",\n                 \"year_month\" => \"2025-12\"\n               }\n             ]\n    end\n  end\n\n  describe \"proxy_statistics_csv\" do\n    test \"requires authentication\", %{conn: conn} do\n      conn |> get(espace_producteur_path(conn, :proxy_statistics_csv)) |> assert_redirects_to_info_page()\n    end\n\n    test \"redirects when there is an error when fetching datasets\", %{conn: conn} do\n      Datagouvfr.Client.User.Mock |> expect(:me, fn _conn -> {:error, nil} end)\n\n      conn =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :proxy_statistics_csv))\n\n      assert redirected_to(conn, 302) == espace_producteur_path(conn, :espace_producteur)\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) ==\n               \"Une erreur a eu lieu lors de la récupération de vos ressources\"\n    end\n\n    test \"renders successfully with a resource handled by the proxy\", %{conn: conn} do\n      dataset = insert(:dataset, is_active: true, datagouv_id: Ecto.UUID.generate())\n\n      slug = \"divia-dijon-gtfs-rt-trip-update\"\n\n      gtfs_rt_resource =\n        insert(:resource,\n          dataset: dataset,\n          format: \"gtfs-rt\",\n          url: \"https://proxy.transport.data.gouv.fr/resource/#{slug}\"\n        )\n\n      assert DB.Resource.served_by_proxy?(gtfs_rt_resource)\n      proxy_slug = DB.Resource.proxy_slug(gtfs_rt_resource)\n      assert proxy_slug == slug\n\n      insert(:metrics,\n        target: \"proxy:#{proxy_slug}\",\n        event: \"proxy:request:external\",\n        count: 2,\n        period: ~U[2025-11-01 10:00:00.0Z]\n      )\n\n      insert(:metrics,\n        target: \"proxy:#{proxy_slug}\",\n        event: \"proxy:request:internal\",\n        count: 1,\n        period: ~U[2025-11-01 10:00:00.0Z]\n      )\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn _conn -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      response =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :proxy_statistics_csv))\n\n      assert response_content_type(response, :csv) == \"text/csv; charset=utf-8\"\n\n      assert Plug.Conn.get_resp_header(response, \"content-disposition\") == [\n               ~s(attachment; filename=\"proxy_statistics-#{Date.utc_today() |> Date.to_iso8601()}.csv\")\n             ]\n\n      assert [response(response, 200)] |> CSV.decode!(headers: true) |> Enum.to_list() == [\n               %{\n                 \"count\" => \"2\",\n                 \"event\" => \"proxy:request:external\",\n                 \"month\" => \"2025-11\",\n                 \"target\" => \"proxy:divia-dijon-gtfs-rt-trip-update\"\n               },\n               %{\n                 \"count\" => \"1\",\n                 \"event\" => \"proxy:request:internal\",\n                 \"month\" => \"2025-11\",\n                 \"target\" => \"proxy:divia-dijon-gtfs-rt-trip-update\"\n               }\n             ]\n    end\n  end\n\n  describe \"resource_actions\" do\n    test \"we can show the form of an existing remote resource\", %{conn: conn} do\n      conn = conn |> init_session_for_producer()\n\n      %DB.Dataset{id: dataset_id, datagouv_id: dataset_datagouv_id, organization_id: organization_id} =\n        dataset =\n        insert(:dataset, custom_title: custom_title = \"Base Nationale des Lieux de Covoiturage\")\n\n      resource = insert(:resource, url: url = \"https://example.com/file\", dataset: dataset)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 1, fn ^dataset_datagouv_id ->\n        dataset_datagouv_get_response(dataset_datagouv_id, resource_id: resource.datagouv_id)\n      end)\n\n      html =\n        conn\n        |> get(espace_producteur_path(conn, :edit_resource, dataset_id, resource.datagouv_id))\n        |> html_response(200)\n\n      doc = html |> Floki.parse_document!()\n      assert_breadcrumb_content(html, [\"Espace producteur\", custom_title, \"Modifier une ressource\"])\n\n      # Title\n      assert doc |> Floki.find(\"h2\") |> Floki.text(sep: \"|\") == \"Modification d’une ressource|Laissez-nous votre avis\"\n      assert html =~ \"bnlc.csv\"\n      assert html =~ url\n    end\n\n    test \"edit a resource for a GTFS file\", %{conn: conn} do\n      resource_datagouv_id = Ecto.UUID.generate()\n\n      %DB.Dataset{id: dataset_id, datagouv_id: dataset_datagouv_id, organization_id: organization_id} =\n        dataset = insert(:dataset)\n\n      insert(:resource, format: \"GTFS\", datagouv_id: resource_datagouv_id, dataset_id: dataset_id)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 1, fn ^dataset_datagouv_id ->\n        dataset_datagouv_get_response(dataset_datagouv_id, resource_id: resource_datagouv_id, filetype: \"file\")\n      end)\n\n      html =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :edit_resource, dataset_id, resource_datagouv_id))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      refute html |> Floki.find(\"form#upload-form\") |> is_nil()\n    end\n\n    test \"we can show the form for a new resource\", %{conn: conn} do\n      conn = conn |> init_session_for_producer()\n\n      %DB.Dataset{id: dataset_id, datagouv_id: dataset_datagouv_id, organization_id: organization_id} =\n        dataset =\n        insert(:dataset, custom_title: custom_title = \"Base Nationale des Lieux de Covoiturage\")\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 1, fn ^dataset_datagouv_id -> dataset_datagouv_get_response(dataset_datagouv_id) end)\n\n      doc =\n        conn\n        |> get(espace_producteur_path(conn, :new_resource, dataset_id))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert_breadcrumb_content(doc, [\"Espace producteur\", custom_title, \"Nouvelle ressource\"])\n      # Title\n      assert doc |> Floki.find(\"h2\") |> Floki.text(sep: \"|\") == \"Ajouter une nouvelle ressource|Laissez-nous votre avis\"\n    end\n\n    test \"we can add a new resource with a URL\", %{conn: conn} do\n      Datagouvfr.Client.User.Mock |> expect(:me, fn _conn -> [] end)\n      %DB.Dataset{datagouv_id: dataset_datagouv_id} = insert(:dataset)\n      %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      conn = conn |> init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id, \"is_producer\" => true}})\n\n      # We expect a call to the function Datagouvfr.Client.Resource.update/2, but this is indeed to create a new resource.\n      # There is a clause in the real client that does a POST call for a new resource if there is no resource_id\n      Datagouvfr.Client.Resources.Mock\n      |> expect(:update, fn _conn,\n                            %{\n                              \"dataset_id\" => ^dataset_datagouv_id,\n                              \"format\" => \"csv\",\n                              \"title\" => \"Test\",\n                              \"url\" => \"https://example.com/my_csv_resource.csv\"\n                            } = _params ->\n        # We don’t really care about API answer, as it is discarded and not used (see controller code)\n        {:ok, %{}}\n      end)\n\n      # We need to mock other things too:\n      # Adding a new resource triggers an ImportData, and then a validation.\n      mocks_for_import_data_etc(dataset_datagouv_id)\n\n      location =\n        conn\n        |> post(\n          espace_producteur_path(conn, :post_file, dataset_datagouv_id),\n          %{\n            \"form\" => %{\n              \"format\" => \"csv\",\n              \"title\" => \"Test\",\n              \"url\" => \"https://example.com/my_csv_resource.csv\"\n            }\n          }\n        )\n        |> redirected_to\n\n      assert location == dataset_path(conn, :details, dataset_datagouv_id)\n      # No need to really check content of dataset and resources in database,\n      # because the response of Datagouv.Client.Resources.update is discarded.\n      # We would just check that import_data works correctly, while this is already tested elsewhere.\n      assert [\n               %DB.FeatureUsage{\n                 feature: :upload_file,\n                 contact_id: ^contact_id,\n                 metadata: %{\n                   \"dataset_datagouv_id\" => ^dataset_datagouv_id,\n                   \"format\" => \"csv\"\n                 }\n               }\n             ] = DB.Repo.all(DB.FeatureUsage)\n    end\n\n    test \"post_file with a file with hidden fields\", %{conn: conn} do\n      Datagouvfr.Client.User.Mock |> expect(:me, fn _conn -> [] end)\n      %DB.Dataset{datagouv_id: dataset_datagouv_id} = insert(:dataset)\n      %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      conn = conn |> init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id, \"is_producer\" => true}})\n\n      Datagouvfr.Client.Resources.Mock\n      |> expect(:update, fn %Plug.Conn{},\n                            %{\n                              \"dataset_id\" => ^dataset_datagouv_id,\n                              \"format\" => \"GTFS\",\n                              \"title\" => \"Test\",\n                              \"resource_file\" => %Plug.Upload{\n                                path: @gtfs_path,\n                                filename: \"GTFS.zip\"\n                              }\n                            } = _params ->\n        # We don’t really care about API answer, as it is discarded and not used (see controller code)\n        {:ok, %{}}\n      end)\n\n      mocks_for_import_data_etc(dataset_datagouv_id)\n\n      assert conn\n             |> post(\n               espace_producteur_path(conn, :post_file, dataset_datagouv_id),\n               %{\n                 \"format\" => \"GTFS\",\n                 \"title\" => \"Test\",\n                 \"resource_file\" => %{\n                   \"filename\" => \"GTFS.zip\",\n                   \"path\" => @gtfs_path\n                 }\n               }\n             )\n             |> redirected_to(302) == dataset_path(conn, :details, dataset_datagouv_id)\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :upload_file,\n                 contact_id: ^contact_id,\n                 metadata: %{\n                   \"dataset_datagouv_id\" => ^dataset_datagouv_id,\n                   \"format\" => \"GTFS\"\n                 }\n               }\n             ] = DB.Repo.all(DB.FeatureUsage)\n    end\n\n    test \"we can show the delete confirmation page\", %{conn: conn} do\n      conn = conn |> init_session_for_producer()\n      resource_datagouv_id = \"resource_dataset_id\"\n\n      %DB.Dataset{id: dataset_id, datagouv_id: dataset_datagouv_id, organization_id: organization_id} =\n        dataset =\n        insert(:dataset, custom_title: custom_title = \"Base Nationale des Lieux de Covoiturage\")\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, 1, fn ^dataset_datagouv_id ->\n        dataset_datagouv_get_response(dataset_datagouv_id, resource_id: resource_datagouv_id)\n      end)\n\n      html =\n        conn\n        |> get(espace_producteur_path(conn, :delete_resource_confirmation, dataset_id, resource_datagouv_id))\n        |> html_response(200)\n\n      assert_breadcrumb_content(html, [\"Espace producteur\", custom_title, \"Supprimer une ressource\"])\n\n      assert html =~ \"bnlc.csv\"\n      assert html =~ \"Souhaitez-vous mettre à jour la ressource ou la supprimer définitivement ?\"\n    end\n\n    test \"we can delete a resource\", %{conn: conn} do\n      Datagouvfr.Client.User.Mock |> expect(:me, fn _conn -> [] end)\n\n      %DB.Dataset{datagouv_id: dataset_datagouv_id, resources: [%DB.Resource{datagouv_id: resource_datagouv_id}]} =\n        insert(:dataset, resources: [insert(:resource)])\n\n      %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      conn = conn |> init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id, \"is_producer\" => true}})\n\n      Datagouvfr.Client.Resources.Mock\n      |> expect(:delete, fn _conn, %{\"dataset_id\" => ^dataset_datagouv_id, \"resource_id\" => ^resource_datagouv_id} ->\n        # We don’t really care about API answer, as it is discarded and not used (see controller code)\n        {:ok, %{}}\n      end)\n\n      # We need to mock other things too:\n      # Adding a new resource triggers an ImportData, and then a validation.\n      mocks_for_import_data_etc(dataset_datagouv_id)\n\n      location =\n        conn\n        |> delete(espace_producteur_path(conn, :delete_resource, dataset_datagouv_id, resource_datagouv_id))\n        |> redirected_to\n\n      assert location == espace_producteur_path(conn, :espace_producteur)\n      # No need to really check content of dataset and resources in database,\n      # because the response of Datagouv.Client.Resources.update is discarded.\n      # We would just check that import_data works correctly, while this is already tested elsewhere.\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :delete_resource,\n                 contact_id: ^contact_id,\n                 metadata: %{\n                   \"dataset_datagouv_id\" => ^dataset_datagouv_id,\n                   \"resource_datagouv_id\" => ^resource_datagouv_id\n                 }\n               }\n             ] = DB.Repo.all(DB.FeatureUsage)\n    end\n  end\n\n  describe \"reuser_improved_data\" do\n    test \"requires authentication\", %{conn: conn} do\n      conn |> get(espace_producteur_path(conn, :reuser_improved_data, 42, 1337)) |> assert_redirects_to_info_page()\n    end\n\n    test \"redirects if you're not a member of the dataset organization\", %{conn: conn} do\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => []}} end)\n\n      conn =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :reuser_improved_data, 42, 1337))\n\n      assert redirected_to(conn, 302) == espace_producteur_path(conn, :espace_producteur)\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) == \"Impossible de récupérer ce jeu de données pour le moment\"\n    end\n\n    test \"we can see reuser improved data\", %{conn: conn} do\n      %DB.Dataset{organization_id: organization_id, datagouv_id: datagouv_id} = dataset = insert(:dataset)\n      resource = insert(:resource, dataset: dataset)\n\n      reuser_improved_data =\n        insert(:reuser_improved_data, dataset: dataset, resource: resource) |> DB.Repo.preload([:organization])\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      Datagouvfr.Client.Datasets.Mock\n      |> expect(:get, fn ^datagouv_id -> {:ok, generate_dataset_payload(datagouv_id)} end)\n\n      html =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :reuser_improved_data, dataset.id, resource.id))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert_breadcrumb_content(html, [\"Espace producteur\", dataset.custom_title, resource.title])\n\n      assert html |> Floki.find(\"h2\") |> Floki.text() =~ \"Repartage des données améliorées\"\n      assert html |> Floki.find(\"table\") |> Floki.text() =~ reuser_improved_data.organization.name\n\n      # Actions buttons\n      download_url = reuser_improved_data.download_url\n\n      assert [\n               {\"a\",\n                [\n                  {\"class\", \"button-outline reuser small\"},\n                  {\"data-tracking-action\", \"download_reuser_gtfs\"},\n                  {\"data-tracking-category\", \"espace_producteur\"},\n                  {\"href\", ^download_url},\n                  {\"target\", \"_blank\"}\n                ], [\"Télécharger le GTFS réutilisateur\"]},\n               {\"a\",\n                [\n                  {\"class\", \"button-outline primary small\"},\n                  {\"data-tracking-action\", \"see_gtfs_diff_report\"},\n                  {\"data-tracking-category\", \"espace_producteur\"},\n                  {\"href\", gtfs_diff_url},\n                  {\"target\", \"_blank\"}\n                ], [\"Comparer avec mon GTFS\"]}\n             ] = html |> Floki.find(\"a.button-outline\")\n\n      %URI{path: \"/tools/gtfs_diff\", query: query} = URI.new!(gtfs_diff_url)\n\n      assert %{\"modified_url\" => reuser_improved_data.download_url, \"reference_url\" => resource.url} ==\n               URI.decode_query(query)\n    end\n  end\n\n  describe \"download_statistics\" do\n    test \"requires authentication\", %{conn: conn} do\n      conn |> get(espace_producteur_path(conn, :download_statistics)) |> assert_redirects_to_info_page()\n    end\n\n    test \"redirects when there is an error when fetching datasets\", %{conn: conn} do\n      Datagouvfr.Client.User.Mock |> expect(:me, fn _conn -> {:error, nil} end)\n\n      conn =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :download_statistics))\n\n      assert redirected_to(conn, 302) == espace_producteur_path(conn, :espace_producteur)\n\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) ==\n               \"Une erreur a eu lieu lors de la récupération de vos ressources\"\n    end\n\n    test \"renders successfully\", %{conn: conn} do\n      %DB.Dataset{} = dataset = insert(:dataset)\n\n      resource =\n        insert(:resource,\n          title: \"gtfs.zip\",\n          format: \"GTFS\",\n          url: \"https://static.data.gouv.fr/example.zip\",\n          dataset: dataset\n        )\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn _conn -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n      mock_organization_and_discussion(dataset)\n\n      current_year = Date.utc_today().year\n      previous_year = current_year - 1\n      year_month = Date.utc_today() |> Date.to_iso8601() |> String.slice(0..6)\n      previous_year_month = \"#{previous_year}-01\"\n\n      insert(:resource_monthly_metric,\n        resource_datagouv_id: resource.datagouv_id,\n        metric_name: :downloads,\n        count: 2_000,\n        year_month: year_month\n      )\n\n      insert(:resource_monthly_metric,\n        resource_datagouv_id: resource.datagouv_id,\n        metric_name: :downloads,\n        count: 1_500,\n        year_month: previous_year_month\n      )\n\n      html =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :download_statistics))\n        |> html_response(200)\n\n      assert_breadcrumb_content(html, [\"Espace producteur\", \"Statistiques de téléchargements\"])\n\n      assert html =~ \"<h2>Statistiques de téléchargements</h2>\"\n\n      assert html |> Floki.parse_document!() |> Floki.find(\"table\") == [\n               {\"table\", [{\"class\", \"table small-padding\"}],\n                [\n                  {\"thead\", [],\n                   [\n                     {\"tr\", [],\n                      [\n                        {\"th\", [], [\"Jeu de données\"]},\n                        {\"th\", [], [\"Ressource\"]},\n                        {\"th\", [], [\"Téléchargements de l'année #{previous_year}\"]},\n                        {\"th\", [], [\"Téléchargements de l'année #{current_year}\"]}\n                      ]}\n                   ]},\n                  {\"tbody\", [],\n                   [\n                     {\"tr\", [],\n                      [\n                        {\"td\", [{\"rowspan\", \"1\"}], [dataset.custom_title]},\n                        {\"td\", [], [resource.title <> \" \", {\"span\", [{\"class\", \"label\"}], [resource.format]}]},\n                        {\"td\", [], [\"\\n                  1 500\\n                \"]},\n                        {\"td\", [], [\"\\n                  2 000\\n                \"]}\n                      ]}\n                   ]}\n                ]}\n             ]\n    end\n  end\n\n  describe \"discussions\" do\n    test \"requires authentication\", %{conn: conn} do\n      conn |> get(espace_producteur_path(conn, :discussions)) |> assert_redirects_to_info_page()\n    end\n\n    test \"we can see unanswered discussions\", %{conn: conn} do\n      %DB.Dataset{organization_id: organization_id, datagouv_id: datagouv_id} = dataset = insert(:dataset)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn _conn -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n      Datagouvfr.Client.Organization.Mock\n      |> expect(:get, 2, fn ^organization_id, [restrict_fields: true] ->\n        {:ok, %{\"members\" => []}}\n      end)\n\n      discussion = %{\n        \"id\" => Ecto.UUID.generate(),\n        \"closed\" => nil,\n        \"title\" => \"Discussion title\",\n        \"discussion\" => [\n          %{\n            \"posted_on\" => DateTime.utc_now() |> DateTime.to_iso8601(),\n            \"posted_by\" => %{\"id\" => Ecto.UUID.generate()}\n          }\n        ]\n      }\n\n      Datagouvfr.Client.Discussions.Mock\n      |> expect(:get, 2, fn ^datagouv_id -> [discussion] end)\n\n      html =\n        conn\n        |> init_session_for_producer()\n        |> get(espace_producteur_path(conn, :discussions))\n        |> html_response(200)\n\n      doc = html |> Floki.parse_document!()\n\n      assert doc |> Floki.find(\"table\") == [\n               {\"table\", [{\"class\", \"table small-padding\"}],\n                [\n                  {\"thead\", [],\n                   [{\"tr\", [], [{\"th\", [], [\"Jeu de données\"]}, {\"th\", [], [\"Discussion\"]}, {\"th\", [], [\"Lien\"]}]}]},\n                  {\"tbody\", [],\n                   [\n                     {\"tr\", [],\n                      [\n                        {\"td\", [{\"rowspan\", \"1\"}],\n                         [\n                           {\"a\", [{\"href\", dataset_path(conn, :details, dataset.slug)}, {\"target\", \"_blank\"}],\n                            [\n                              {\"i\", [{\"class\", \"fa fa-external-link\"}], []},\n                              \"\\n                    Hello\\n                  \"\n                            ]}\n                         ]},\n                        {\"td\", [], [\"Discussion title\"]},\n                        {\"td\", [],\n                         [\n                           {\"a\",\n                            [\n                              {\"href\",\n                               dataset_path(conn, :details, dataset.slug) <> ~s|#discussion-#{discussion[\"id\"]}|},\n                              {\"target\", \"_blank\"},\n                              {\"class\", \"button-outline primary small\"},\n                              {\"data-tracking-category\", \"espace_producteur\"},\n                              {\"data-tracking-action\", \"unanswered_discussion_button\"}\n                            ],\n                            [\n                              {\"i\", [{\"class\", \"icon fas fa-comments\"}], []},\n                              \"\\n                    Voir la discussion\\n                  \"\n                            ]}\n                         ]}\n                      ]}\n                   ]}\n                ]}\n             ]\n\n      assert doc |> Floki.find(\".notification\") |> Enum.empty?()\n\n      assert_breadcrumb_content(html, [\"Espace producteur\", \"Discussions sans réponse\"])\n    end\n  end\n\n  test \"formats_for_dataset\" do\n    dataset = insert(:dataset, type: \"public-transit\")\n    other_dataset = insert(:dataset, type: \"vehicles-sharing\")\n    insert(:resource, format: \"GTFS\", dataset: dataset)\n    insert(:resource, format: \"GTFS\", dataset: dataset)\n    insert(:resource, format: \"NeTEx\", dataset: dataset)\n    insert(:resource, format: \"gbfs\", dataset: other_dataset)\n\n    assert [\"GTFS\", \"NeTEx\"] ==\n             TransportWeb.EspaceProducteurController.formats_for_dataset(%Plug.Conn{assigns: %{dataset: dataset}})\n\n    assert [\"gbfs\"] ==\n             TransportWeb.EspaceProducteurController.formats_for_dataset(%Plug.Conn{assigns: %{dataset: other_dataset}})\n  end\n\n  defp assert_redirects_to_info_page(%Plug.Conn{} = conn) do\n    Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Vous devez être préalablement connecté\"\n    assert redirected_to(conn, 302) == page_path(conn, :infos_producteurs)\n  end\n\n  defp dataset_datagouv_get_response(dataset_datagouv_id, opts \\\\ []) do\n    {:ok,\n     datagouv_dataset_response(%{\n       \"id\" => dataset_datagouv_id,\n       \"title\" => \"Base Nationale des Lieux de Covoiturage\",\n       \"resources\" =>\n         generate_resources_payload(\n           title: \"bnlc.csv\",\n           url: \"https://raw.githubusercontent.com/etalab/transport-base-nationale-covoiturage/main/bnlc-.csv\",\n           id: Keyword.get(opts, :resource_id, \"resource_id_1\"),\n           format: \"csv\",\n           filetype: Keyword.get(opts, :filetype, \"remote\")\n         )\n     })}\n  end\n\n  test \"show_downloads_stats?\" do\n    dataset = insert(:dataset)\n    refute dataset |> DB.Repo.preload(:resources) |> TransportWeb.EspaceProducteurView.show_downloads_stats?()\n\n    resource = insert(:resource, dataset: dataset)\n    refute DB.Resource.hosted_on_datagouv?(resource)\n    refute dataset |> DB.Repo.preload(:resources) |> TransportWeb.EspaceProducteurView.show_downloads_stats?()\n\n    resource = insert(:resource, dataset: dataset, url: \"https://static.data.gouv.fr/file.csv\")\n    assert DB.Resource.hosted_on_datagouv?(resource)\n    assert dataset |> DB.Repo.preload(:resources) |> TransportWeb.EspaceProducteurView.show_downloads_stats?()\n\n    # Works with list\n    dataset = dataset |> DB.Repo.preload(:resources)\n    other_dataset = insert(:dataset) |> DB.Repo.preload(:resources)\n    assert [dataset, other_dataset] |> TransportWeb.EspaceProducteurView.show_downloads_stats?()\n  end\n\n  defp mocks_for_import_data_etc(dataset_datagouv_id) do\n    Transport.HTTPoison.Mock\n    |> expect(\n      :get!,\n      fn _url, [], hackney: [follow_redirect: true] ->\n        %HTTPoison.Response{body: Jason.encode!(generate_dataset_payload(dataset_datagouv_id)), status_code: 200}\n      end\n    )\n\n    Datagouvfr.Client.CommunityResources.Mock |> expect(:get, fn _ -> {:ok, []} end)\n    Mox.stub_with(Transport.AvailabilityChecker.Mock, Transport.AvailabilityChecker.Dummy)\n  end\n\n  defp assert_breadcrumb_content(html, expected) when is_binary(html) do\n    assert_breadcrumb_content(Floki.parse_document!(html), expected)\n  end\n\n  defp assert_breadcrumb_content(doc, expected) do\n    assert doc |> Floki.find(\".breadcrumbs-element\") |> Enum.map(&Floki.text/1) == expected\n  end\n\n  defp init_session_for_producer(%Plug.Conn{} = conn) do\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n    conn |> init_test_session(current_user: %{\"is_producer\" => true, \"id\" => contact.datagouv_user_id})\n  end\n\n  defp mock_organization_and_discussion(\n         %DB.Dataset{organization_id: organization_id, datagouv_id: datagouv_id},\n         times \\\\ 1\n       ) do\n    Datagouvfr.Client.Organization.Mock\n    |> expect(:get, times, fn ^organization_id, [restrict_fields: true] ->\n      {:ok, %{\"members\" => []}}\n    end)\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, times, fn ^datagouv_id -> [] end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/explore_controller_test.exs",
    "content": "defmodule TransportWeb.ExploreControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    insert_bnlc_dataset()\n    insert_parcs_relais_dataset()\n    insert_zfe_dataset()\n    insert_irve_dataset()\n\n    :ok\n  end\n\n  test \"GET /explore\", %{conn: conn} do\n    conn = conn |> get(~p\"/explore\")\n    redirect_path = conn |> redirected_to(302)\n    assert redirect_path =~ ~r\"^/explore\\?\"\n    html = conn |> get(redirect_path) |> html_response(200)\n    assert html =~ \"Carte d&#39;exploration des données\"\n    assert 5 == (html |> String.split(\"checked\") |> Enum.count()) - 1\n\n    conn = conn |> get(~p\"/explore?zfe=yes\")\n    html = html_response(conn, 200)\n    assert 1 == (html |> String.split(\"checked\") |> Enum.count()) - 1\n  end\n\n  test \"GET /explore/vehicle-positions\", %{conn: conn} do\n    redirect_path =\n      conn\n      |> get(~p\"/explore/vehicle-positions\")\n      |> redirected_to(302)\n\n    assert redirect_path == \"/explore\"\n  end\n\n  test \"GET /explore/gtfs-stops\", %{conn: conn} do\n    conn = conn |> get(~p\"/explore/gtfs-stops\")\n    html = html_response(conn, 200)\n    doc = Floki.parse_document!(html)\n\n    [{\"title\", _, [title]}] = Floki.find(doc, \"title\")\n\n    assert title == \"Carte consolidée des arrêts GTFS (beta)\"\n    assert html =~ \"<h2>Carte consolidée des arrêts GTFS (beta)</h2>\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/gbfs_analyzer_controller_test.exs",
    "content": "defmodule TransportWeb.GbfsAnalyzerControllerTest do\n  use TransportWeb.ConnCase, async: true\n\n  import Mox\n  setup :verify_on_exit!\n\n  describe \"GBFS analyzer\" do\n    test \"the analyzer starting page\", %{conn: conn} do\n      conn = conn |> get(gbfs_analyzer_path(conn, :index))\n\n      assert redirected_to(conn, 302) ==\n               live_path(conn, TransportWeb.Live.OnDemandValidationSelectLive,\n                 type: \"gbfs\",\n                 selected_tile: \"vehicles-sharing\",\n                 selected_subtile: \"gbfs\"\n               )\n    end\n\n    test \"with a GBFS to analyze\", %{conn: conn} do\n      gbfs_url = \"/gbfs.json\"\n\n      Transport.GBFSMetadata.Mock\n      |> expect(:compute_feed_metadata, fn ^gbfs_url ->\n        %{\n          system_details: %{\"name\" => \"GBFS feed name\"},\n          feeds: [\"station_information\"]\n        }\n      end)\n\n      conn = conn |> get(gbfs_analyzer_path(conn, :index, url: gbfs_url))\n      assert html_response(conn, 200) =~ \"Rapport de validation GBFS\"\n      assert html_response(conn, 200) =~ \"GBFS feed name\"\n      assert html_response(conn, 200) =~ \"station_information\"\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/landing_page_controller_test.exs",
    "content": "defmodule TransportWeb.LandingPageVLSControllerTest do\n  use TransportWeb.ConnCase, async: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"GET /landing-vls\", %{conn: conn} do\n    conn = conn |> get(~p\"/landing-vls\")\n\n    html = conn |> html_response(200)\n\n    assert html =~ \"Accédez aux données\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/nav_test.exs",
    "content": "defmodule TransportWeb.NavTest do\n  # NOTE: temporarily set to false, until it doesn't use with_mock anymore\n  use TransportWeb.ConnCase, async: false\n  use TransportWeb.DatabaseCase, cleanup: [:datasets]\n  import DB.Factory\n  import Mock\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    insert(:dataset,\n      description: \"Un jeu de données\",\n      custom_title: \"Horaires Angers\",\n      resources: [\n        build(:resource, url: \"https://link.to/angers.zip\")\n      ]\n    )\n\n    Mox.stub_with(Transport.HTTPoison.Mock, HTTPoison)\n    Mox.stub_with(Datagouvfr.Client.Reuses.Mock, Datagouvfr.Client.Reuses.Dummy)\n    Mox.stub_with(Datagouvfr.Client.Discussions.Mock, Datagouvfr.Client.Discussions.Dummy)\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n\n    Transport.DatasetIndex.refresh()\n\n    :ok\n  end\n\n  def click_link_by_text(conn, html, text) do\n    doc = Floki.parse_document!(html)\n    [link] = Floki.find(doc, \"a:fl-contains('#{text}')\")\n    [href] = Floki.attribute(link, \"href\")\n    conn |> get(href)\n  end\n\n  test \"I can list available datasets to find and download transport data\", %{conn: conn} do\n    Transport.History.Fetcher.Mock |> expect(:history_resources, fn _, _ -> [] end)\n    # NOTE: we cannot easily mock the API exchanges, so just stubbing the known bits for now, and\n    # we'll later use a proper stubbed implementation for all tests.\n    with_mock Datagouvfr.Client.Discussions, get: fn _ -> [] end do\n      # browse the home\n      conn = conn |> get(~p\"/\")\n      html = html_response(conn, 200)\n\n      # I can click to the a list of available datasets\n      conn = click_link_by_text(conn, html, \"Voir les jeux de données récents\")\n      html = html_response(conn, 200)\n\n      # I can see or read somewhere that the datasets are valid\n      assert html =~ \"Jeux de données\"\n      conn = click_link_by_text(conn, html, \"Horaires Angers\")\n      html = html_response(conn, 200)\n\n      assert html =~ \"Horaires Angers\"\n      assert html =~ \"Un jeu de données\"\n\n      doc = Floki.parse_document!(html)\n\n      # I can download the dataset\n      [element] = Floki.find(doc, \".download-button\")\n      [href] = Floki.attribute(element, \"href\")\n      assert String.ends_with?(href, \".zip\")\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/page_controller_test.exs",
    "content": "defmodule TransportWeb.PageControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n  import Plug.Test, only: [init_test_session: 2]\n  import Mox\n\n  setup :verify_on_exit!\n\n  doctest TransportWeb.PageController\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"GET /\", %{conn: conn} do\n    conn = conn |> get(page_path(conn, :index))\n    html = html_response(conn, 200)\n    assert html =~ \"disponible, valoriser et améliorer\"\n  end\n\n  test \"GET / shows a contact button\", %{conn: conn} do\n    conn = conn |> get(page_path(conn, :index))\n\n    [_element] =\n      conn\n      |> html_response(200)\n      |> Floki.parse_document!()\n      |> Floki.find(\".mail__button .icon--envelope\")\n  end\n\n  test \"GET login page without a redirect_path\", %{conn: conn} do\n    conn |> get(page_path(conn, :login)) |> html_response(200)\n  end\n\n  test \"I can see a log-in link on home\", %{conn: conn} do\n    # go to the home page\n    conn = conn |> get(~p\"/\")\n    doc = html_response(conn, 200)\n    html = doc |> Floki.parse_document!()\n\n    # simulate click on login link\n    [link] = Floki.find(html, \".navigation__link--login\")\n    [href] = Floki.attribute(link, \"href\")\n    assert href == \"/login/explanation?redirect_path=%2F\"\n    conn = conn |> get(href)\n\n    # verify the content\n    html = html_response(conn, 200)\n    assert html =~ \"disponible, valoriser et améliorer\"\n\n    # I have an explanation of what data.gouv.fr is\n    assert html =~ \"plateforme ouverte des données publiques françaises\"\n\n    # I have an explanation of what the relationship is between data.gouv.fr and Transport\n    assert html =~ \"transport.data.gouv.fr est un site affilié à data.gouv.fr\"\n\n    # I have an explanation of what's going to happen and what I'm I supposed to do\n    assert html =~ \"créer un compte ou vous identifier avec votre compte data.gouv.fr\"\n    assert html =~ \"autoriser transport.data.gouv.fr à utiliser votre compte data.gouv.fr\"\n\n    # I can click somewhere to start the log in / sign up process\n    assert html =~ \"Se connecter\"\n\n    # I can click somewhere to ask for help\n    assert html =~ \"Nous contacter\"\n  end\n\n  describe \"infos_producteurs\" do\n    test \"for logged-out users\", %{conn: conn} do\n      conn = conn |> get(page_path(conn, :infos_producteurs))\n      body = html_response(conn, 200)\n      assert body =~ \"transport.data.gouv.fr vous aide à publier vos données\"\n\n      {:ok, doc} = Floki.parse_document(body)\n      [item] = doc |> Floki.find(\".panel-producteurs a.button\")\n\n      assert Floki.attribute(item, \"href\") == [\"/login/explanation?redirect_path=%2Fespace_producteur\"]\n      assert item |> Floki.text() =~ \"Identifiez-vous\"\n    end\n\n    test \"for logged-in users\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      Datagouvfr.Client.User.Mock |> expect(:me, fn _conn -> [] end)\n\n      conn =\n        conn\n        |> init_test_session(current_user: %{\"is_producer\" => true, \"id\" => contact.datagouv_user_id})\n        |> get(page_path(conn, :infos_producteurs))\n\n      body = html_response(conn, 200)\n      assert body =~ \"transport.data.gouv.fr vous aide à publier vos données\"\n\n      {:ok, doc} = Floki.parse_document(body)\n      [item] = doc |> Floki.find(\".panel-producteurs a.button\")\n\n      assert Floki.attribute(item, \"href\") == [\"/espace_producteur?utm_campaign=producer_infos_page\"]\n      assert item |> Floki.text() =~ \"Accédez à votre espace producteur\"\n    end\n  end\n\n  describe \"infos_reutilisateurs\" do\n    test \"for logged-out users\", %{conn: conn} do\n      conn = conn |> get(page_path(conn, :infos_reutilisateurs))\n      body = html_response(conn, 200)\n      assert body =~ \"transport.data.gouv.fr vous aide à suivre les données que vous réutilisez\"\n\n      {:ok, doc} = Floki.parse_document(body)\n      [item] = doc |> Floki.find(\".panel-producteurs a.button\")\n\n      assert Floki.attribute(item, \"href\") == [\"/login/explanation?redirect_path=%2Fespace_reutilisateur\"]\n      assert item |> Floki.text() =~ \"Identifiez-vous\"\n    end\n\n    test \"for logged-in users\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      conn =\n        conn\n        |> init_test_session(current_user: %{\"is_producer\" => false, \"id\" => contact.datagouv_user_id})\n        |> get(page_path(conn, :infos_reutilisateurs))\n\n      body = html_response(conn, 200)\n      assert body =~ \"transport.data.gouv.fr vous aide à suivre les données que vous réutilisez\"\n\n      {:ok, doc} = Floki.parse_document(body)\n      [item] = doc |> Floki.find(\".panel-producteurs a.button\")\n\n      assert Floki.attribute(item, \"href\") == [\"/espace_reutilisateur?utm_campaign=reuser_infos_page\"]\n      assert item |> Floki.text() =~ \"Accédez à votre espace réutilisateur\"\n    end\n  end\n\n  test \"404 page\", %{conn: conn} do\n    conn = conn |> get(\"/this-page-does-not-exist\")\n    html = html_response(conn, 404)\n    assert html =~ \"Page non disponible\"\n  end\n\n  test \"security.txt page\", %{conn: conn} do\n    conn |> get(~p\"/.well-known/security.txt\") |> text_response(200)\n  end\n\n  test \"nouveautés\", %{conn: conn} do\n    content = conn |> get(~p\"/nouveautes\") |> html_response(200)\n\n    doc = content |> Floki.parse_document!()\n\n    assert doc |> Floki.find(\".side-pane__dropdown.unfolded\") |> Enum.count() == 1\n    assert doc |> Floki.find(\".side-pane__dropdown.folded\") |> Enum.count() >= 1\n\n    tags = doc |> Floki.find(\"h2, h3\") |> Floki.text(sep: \"|\") |> String.replace(\"#| \\n\", \"\") |> String.split(\"|\")\n\n    assert sublist?(tags, [\n             \"Décembre 2025\",\n             \"⚡️ IRVE\",\n             \"🚀 Espace Producteur & Expérience Utilisateur\",\n             \"🔍 Recherche\",\n             \"🛠 Validation & Qualité des Données\",\n             \"🔌 Proxy & Flux Temps Réel\",\n             \"📧 Notifications & Backoffice\",\n             \"⚙️ Technique & Infrastructure\"\n           ])\n  end\n\n  describe \"robots.txt\" do\n    test \"200 response, doesn't disallow indexing everything and includes sitemap\", %{conn: conn} do\n      content = conn |> get(~p\"/robots.txt\") |> text_response(200)\n      refute content =~ ~r(Disallow: \\/\\n)\n      assert content =~ \"Sitemap: http://127.0.0.1:5100/sitemap.txt\"\n    end\n\n    test \"disallow indexing everything in staging\" do\n      assert TransportWeb.PageController.robots_txt_content(:staging) =~ ~r(Disallow: \\/$)\n      refute TransportWeb.PageController.robots_txt_content(:prod) =~ ~r(Disallow: \\/$)\n    end\n  end\n\n  test \"accessibility page\", %{conn: conn} do\n    conn |> get(page_path(conn, :accessibility)) |> html_response(200)\n  end\n\n  test \"missions page\", %{conn: conn} do\n    conn |> get(page_path(conn, :missions)) |> html_response(200)\n  end\n\n  test \"sitemap page\", %{conn: conn} do\n    conn |> get(page_path(conn, :sitemap_txt)) |> text_response(200)\n  end\n\n  test \"budget page\", %{conn: conn} do\n    conn |> get(~p\"/budget\") |> redirected_to(302) =~ \"https://doc.transport.data.gouv.fr\"\n  end\n\n  test \"humans txt\", %{conn: conn} do\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn \"https://beta.gouv.fr/api/v2.5/authors.json\" ->\n      body = [\n        %{\"id\" => \"foo\", \"fullname\" => \"Foo\"},\n        %{\"id\" => \"bar\", \"fullname\" => \"Bar\"},\n        %{\"id\" => \"baz\", \"fullname\" => \"Baz\"}\n      ]\n\n      %HTTPoison.Response{status_code: 200, body: Jason.encode!(body)}\n    end)\n\n    Transport.HTTPoison.Mock\n    |> expect(:get!, fn \"https://beta.gouv.fr/api/v2.5/startups_details.json\" ->\n      body = %{\n        \"transport\" => %{\n          \"active_members\" => [\"foo\"],\n          \"previous_members\" => [\"bar\", \"baz\"],\n          \"expired_members\" => [\"baz\", \"nope\"]\n        }\n      }\n\n      %HTTPoison.Response{status_code: 200, body: Jason.encode!(body)}\n    end)\n\n    content = conn |> get(page_path(conn, :humans_txt)) |> text_response(200)\n    assert content == \"# Membres actuels\\nFoo\\n\\n# Anciens membres\\nBar\\nBaz\"\n  end\n\n  test \"menu has a link to producer space when the user is a producer\", %{conn: conn} do\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    has_menu_item? = fn %Plug.Conn{} = conn ->\n      not (conn\n           |> get(page_path(conn, :index))\n           |> html_response(200)\n           |> Floki.parse_document!()\n           |> Floki.find(~s|nav .dropdown-content a[data-link-name=\"producer-space\"]|)\n           |> Enum.empty?())\n    end\n\n    refute conn\n           |> init_test_session(current_user: %{\"is_producer\" => false, \"id\" => contact.datagouv_user_id})\n           |> has_menu_item?.()\n\n    Datagouvfr.Client.User.Mock |> expect(:me, fn _conn -> [] end)\n\n    assert conn\n           |> init_test_session(current_user: %{\"is_producer\" => true, \"id\" => contact.datagouv_user_id})\n           |> has_menu_item?.()\n  end\n\n  test \"menu has notification count if producer has issues to tackle\", %{conn: conn} do\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n    %DB.Dataset{organization_id: organization_id, datagouv_id: dataset_datagouv_id} = dataset = insert(:dataset)\n    insert(:resource, dataset: dataset, is_available: false)\n\n    Datagouvfr.Client.User.Mock\n    |> expect(:me, fn _conn -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n    Datagouvfr.Client.Organization.Mock\n    |> expect(:get, fn ^organization_id, [restrict_fields: true] ->\n      {:ok, %{\"members\" => []}}\n    end)\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, fn ^dataset_datagouv_id -> [] end)\n\n    doc =\n      conn\n      |> init_test_session(current_user: %{\"is_producer\" => true, \"id\" => contact.datagouv_user_id})\n      |> get(page_path(conn, :index))\n      |> html_response(200)\n      |> Floki.parse_document!()\n\n    assert doc |> Floki.find(\".notification_badge\") == [\n             {\"span\", [{\"class\", \"notification_badge static\"}, {\"aria-label\", \"1 notification\"}], [\"\\n  1\\n\"]},\n             {\"span\", [{\"class\", \"notification_badge static\"}, {\"aria-label\", \"1 notification\"}], [\"\\n  1\\n\"]}\n           ]\n\n    assert doc\n           |> Floki.find(~s|nav .dropdown-content a[data-link-name=\"producer-space\"]|)\n           |> Floki.text()\n           |> String.trim()\n           |> String.replace(~r/(\\s)+/, \" \") ==\n             \"Espace producteur 1\"\n  end\n\n  test \"notifications count for a producer and reuser\", %{conn: conn} do\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n    dataset = insert(:dataset)\n    insert(:resource, dataset: dataset, is_available: false)\n\n    other_dataset = insert(:dataset)\n    insert(:resource, dataset: other_dataset, is_available: false)\n    insert(:dataset_follower, contact: contact, dataset: dataset)\n\n    Datagouvfr.Client.User.Mock\n    |> expect(:me, fn _conn -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n    Datagouvfr.Client.Organization.Mock\n    |> expect(:get, fn _organization_id, [restrict_fields: true] ->\n      {:ok, %{\"members\" => []}}\n    end)\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, 2, fn _dataset_datagouv_id -> [] end)\n\n    doc =\n      conn\n      |> init_test_session(current_user: %{\"is_producer\" => true, \"id\" => contact.datagouv_user_id})\n      |> get(page_path(conn, :index))\n      |> html_response(200)\n      |> Floki.parse_document!()\n\n    assert doc |> Floki.find(\".notification_badge\") == [\n             {\"span\", [{\"class\", \"notification_badge static\"}, {\"aria-label\", \"2 notifications\"}], [\"\\n  2\\n\"]},\n             {\"span\", [{\"class\", \"notification_badge static\"}, {\"aria-label\", \"1 notification\"}], [\"\\n  1\\n\"]},\n             {\"span\", [{\"class\", \"notification_badge static\"}, {\"aria-label\", \"1 notification\"}], [\"\\n  1\\n\"]}\n           ]\n\n    assert doc\n           |> Floki.find(~s|nav .dropdown-content a[data-link-name=\"producer-space\"]|)\n           |> Floki.text()\n           |> String.trim()\n           |> String.replace(~r/(\\s)+/, \" \") ==\n             \"Espace producteur 1\"\n\n    assert doc\n           |> Floki.find(~s|nav .dropdown-content a[data-link-name=\"reuser-space\"]|)\n           |> Floki.text()\n           |> String.trim()\n           |> String.replace(~r/(\\s)+/, \" \") ==\n             \"Espace réutilisateur 1\"\n  end\n\n  test \"notifications count for a reuser with hidden reuser alerts\", %{conn: conn} do\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, is_available: false)\n    insert(:dataset_follower, contact: contact, dataset: dataset)\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, 2, fn _dataset_datagouv_id -> [] end)\n\n    doc =\n      conn\n      |> init_test_session(current_user: %{\"id\" => contact.datagouv_user_id})\n      |> get(page_path(conn, :index))\n      |> html_response(200)\n      |> Floki.parse_document!()\n\n    assert doc |> Floki.find(\".notification_badge\") == [\n             {\"span\", [{\"class\", \"notification_badge static\"}, {\"aria-label\", \"1 notification\"}], [\"\\n  1\\n\"]},\n             {\"span\", [{\"class\", \"notification_badge static\"}, {\"aria-label\", \"1 notification\"}], [\"\\n  1\\n\"]}\n           ]\n\n    # Now hide the alert\n    insert(:hidden_reuser_alert,\n      contact: contact,\n      dataset: dataset,\n      check_type: :unavailable_resource,\n      resource_id: resource.id,\n      hidden_until: DateTime.utc_now() |> DateTime.add(7, :day)\n    )\n\n    # Badges should be gone\n    doc =\n      conn\n      |> init_test_session(current_user: %{\"id\" => contact.datagouv_user_id})\n      |> get(page_path(conn, :index))\n      |> html_response(200)\n      |> Floki.parse_document!()\n\n    assert doc |> Floki.find(\".notification_badge\") == []\n  end\n\n  def sublist?(list, sublist) do\n    list\n    |> Enum.chunk_every(length(sublist), 1, :discard)\n    |> Enum.member?(sublist)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/pagination_helpers_test.exs",
    "content": "defmodule TransportWeb.PaginationHelpersTest do\n  use TransportWeb.ConnCase, async: false\n  import DB.Factory\n\n  import TransportWeb.PaginationHelpers\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"pagination_links\" do\n    test \"simple links\" do\n      assert test_pagination(1, %{}) == []\n      assert test_pagination(1, %{\"page\" => \"1\"}) == []\n\n      test_pagination(2, %{})\n      |> assert_has_pages([{\"1\", nil}, {\"2\", \"/datasets?page=2\"}, {\">>\", \"/datasets?page=2\"}])\n\n      test_pagination(2, %{\"page\" => \"1\"})\n      |> assert_has_pages([{\"1\", nil}, {\"2\", \"/datasets?page=2\"}, {\">>\", \"/datasets?page=2\"}])\n\n      test_pagination(2, %{\"page\" => \"2\"})\n      |> assert_has_pages([{\"<<\", \"/datasets\"}, {\"1\", \"/datasets\"}, {\"2\", nil}])\n\n      test_pagination(5, %{\"format\" => \"NeTEx\", \"page\" => \"3\"})\n      |> assert_has_pages([\n        {\"<<\", \"/datasets?format=NeTEx&page=2\"},\n        {\"1\", \"/datasets?format=NeTEx\"},\n        {\"2\", \"/datasets?format=NeTEx&page=2\"},\n        {\"3\", nil},\n        {\"4\", \"/datasets?format=NeTEx&page=4\"},\n        {\"5\", \"/datasets?format=NeTEx&page=5\"},\n        {\">>\", \"/datasets?format=NeTEx&page=4\"}\n      ])\n    end\n\n    test \"custom path\" do\n      opts = [path: &custom_path/3]\n\n      test_pagination(2, %{}, opts)\n      |> assert_has_pages([{\"1\", nil}, {\"2\", \"/datasets?page=2#list\"}, {\">>\", \"/datasets?page=2#list\"}])\n\n      test_pagination(2, %{\"page\" => \"1\"}, opts)\n      |> assert_has_pages([{\"1\", nil}, {\"2\", \"/datasets?page=2#list\"}, {\">>\", \"/datasets?page=2#list\"}])\n\n      test_pagination(2, %{\"page\" => \"2\"}, opts)\n      |> assert_has_pages([{\"<<\", \"/datasets#list\"}, {\"1\", \"/datasets#list\"}, {\"2\", nil}])\n\n      test_pagination(5, %{\"page\" => \"3\"}, [format: \"NeTEx\"] ++ opts)\n      |> assert_has_pages([\n        {\"<<\", \"/datasets?format=NeTEx&page=2#list\"},\n        {\"1\", \"/datasets?format=NeTEx#list\"},\n        {\"2\", \"/datasets?format=NeTEx&page=2#list\"},\n        {\"3\", nil},\n        {\"4\", \"/datasets?format=NeTEx&page=4#list\"},\n        {\"5\", \"/datasets?format=NeTEx&page=5#list\"},\n        {\">>\", \"/datasets?format=NeTEx&page=4#list\"}\n      ])\n    end\n  end\n\n  defp custom_path(conn, action, params) do\n    dataset_path(conn, action, params) <> \"#list\"\n  end\n\n  defp test_pagination(n_pages, params) do\n    {conn, pagination} = setup_pagination(n_pages, params)\n\n    conn\n    |> pagination_links(pagination)\n    |> Phoenix.HTML.safe_to_string()\n    |> Floki.parse_document!()\n  end\n\n  defp test_pagination(n_pages, params, opts) do\n    {conn, pagination} = setup_pagination(n_pages, params)\n\n    conn\n    |> pagination_links(pagination, opts)\n    |> Phoenix.HTML.safe_to_string()\n    |> Floki.parse_document!()\n    |> assert_has_aria_label()\n  end\n\n  defp assert_has_aria_label(doc) do\n    assert [{\"nav\", [{\"aria-label\", _}], _}] = doc\n\n    doc\n  end\n\n  defp assert_has_pages(doc, links) do\n    assert links == doc |> Floki.find(\"a\") |> Enum.map(&extract_link/1)\n\n    doc\n  end\n\n  defp extract_link(link) do\n    href =\n      case Floki.attribute(link, \"href\") do\n        [href] -> href\n        _ -> nil\n      end\n\n    {Floki.text(link), href}\n  end\n\n  defp setup_pagination(n_pages, params) do\n    page_size = make_pagination_config(%{}).page_size\n\n    conn = build_conn(:get, \"/\", params)\n\n    datasets =\n      for _n <- 1..(page_size * n_pages) do\n        insert(:dataset)\n      end\n\n    pagination = Scrivener.paginate(datasets, make_pagination_config(params))\n\n    {conn, pagination}\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/resource_controller_test.exs",
    "content": "defmodule TransportWeb.ResourceControllerTest do\n  use TransportWeb.ConnCase, async: false\n  use TransportWeb.DatabaseCase, cleanup: [:datasets], async: false\n  import Mox\n  import DB.Factory\n  import ExUnit.CaptureLog\n  import NeTExValidationReportHelpers\n  import TransportWeb.PaginationHelpers, only: [make_pagination_config: 1]\n  import TransportWeb.ResourceController, only: [paginate_netex_results: 2]\n\n  setup :verify_on_exit!\n\n  @service_alerts_file \"#{__DIR__}/../../fixture/files/bibus-brest-gtfs-rt-alerts.pb\"\n  @pan_org_id \"5abca8d588ee386ee6ece479\"\n\n  setup do\n    Mox.stub_with(Transport.DataVisualization.Mock, Transport.DataVisualization.Impl)\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n\n    insert(:dataset,\n      created_at: DateTime.utc_now(),\n      last_update: DateTime.utc_now(),\n      slug: \"slug-1\",\n      resources: [\n        %DB.Resource{\n          last_update: DateTime.utc_now() |> DateTime.add(-6, :hour),\n          last_import: DateTime.utc_now() |> DateTime.add(-1, :hour),\n          url: \"https://link.to/angers.zip\",\n          datagouv_id: \"1\",\n          format: \"GTFS\",\n          title: \"GTFS\",\n          description: \"Une _très_ belle ressource\"\n        },\n        %DB.Resource{\n          last_update: DateTime.utc_now() |> DateTime.add(-6, :hour),\n          last_import: DateTime.utc_now() |> DateTime.add(-1, :hour),\n          url: \"http://link.to/angers.zip?foo=bar\",\n          datagouv_id: \"2\",\n          format: \"GTFS\"\n        },\n        %DB.Resource{\n          last_update: DateTime.utc_now() |> DateTime.add(-6, :hour),\n          last_import: DateTime.utc_now() |> DateTime.add(-1, :hour),\n          url: \"http://link.to/gbfs\",\n          datagouv_id: \"3\",\n          format: \"gbfs\"\n        },\n        %DB.Resource{\n          last_update: DateTime.utc_now() |> DateTime.add(-6, :hour),\n          last_import: DateTime.utc_now() |> DateTime.add(-1, :hour),\n          url: \"http://link.to/file\",\n          datagouv_id: \"4\",\n          schema_name: \"etalab/foo\",\n          format: \"json\"\n        },\n        %DB.Resource{\n          last_update: DateTime.utc_now() |> DateTime.add(-6, :hour),\n          last_import: DateTime.utc_now() |> DateTime.add(-1, :hour),\n          url: \"http://link.to/gtfs-rt\",\n          datagouv_id: \"5\",\n          format: \"gtfs-rt\"\n        }\n      ]\n    )\n\n    :ok\n  end\n\n  describe \"details\" do\n    test \"Non existing resource returns a 404\", %{conn: conn} do\n      conn = conn |> get(resource_path(conn, :details, 0))\n\n      assert conn |> html_response(404) =~ \"Page non disponible\"\n    end\n\n    test \"GBFS resource with multi-validation sends back 200\", %{conn: conn} do\n      resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"3\")\n      assert DB.Resource.gbfs?(resource)\n\n      insert(:multi_validation, %{\n        resource_history: insert(:resource_history, %{resource_id: resource.id}),\n        validator: Transport.Validators.GBFSValidator.validator_name(),\n        result: %{\"errors_count\" => 1},\n        metadata: %DB.ResourceMetadata{metadata: %{}}\n      })\n\n      Transport.Schemas.Mock |> expect(:transport_schemas, fn -> %{} end)\n\n      conn = conn |> get(resource_path(conn, :details, resource.id))\n      assert conn |> html_response(200) =~ \"1 erreur\"\n    end\n\n    test \"GBFS resource with nil validation sends back 200\", %{conn: conn} do\n      resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"3\")\n      assert DB.Resource.gbfs?(resource)\n\n      insert(:multi_validation, %{\n        resource_history: insert(:resource_history, %{resource_id: resource.id}),\n        validator: Transport.Validators.GBFSValidator.validator_name(),\n        result: nil,\n        metadata: %DB.ResourceMetadata{metadata: %{}}\n      })\n\n      Transport.Schemas.Mock |> expect(:transport_schemas, fn -> %{} end)\n\n      assert conn |> get(resource_path(conn, :details, resource.id)) |> html_response(200)\n    end\n\n    test \"resource has its description displayed\", %{conn: conn} do\n      resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"1\")\n\n      assert resource.description == \"Une _très_ belle ressource\"\n      html = conn |> get(resource_path(conn, :details, resource.id)) |> html_response(200)\n      assert html =~ \"Une <em>très</em> belle ressource\"\n    end\n\n    test \"resource has download availability displayed\", %{conn: conn} do\n      resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"4\")\n\n      Transport.Schemas.Mock\n      |> expect(:schemas_by_type, 1, fn _type -> %{resource.schema_name => %{}} end)\n\n      html = conn |> get(resource_path(conn, :details, resource.id)) |> html_response(200)\n\n      assert html =~ \"Disponibilité au téléchargement\"\n      assert html =~ \"download_availability_100\"\n    end\n\n    test \"gtfs-rt resource with error details sends back a 200\", %{conn: conn} do\n      resource_url = \"xxx\"\n\n      validation_result = %{\n        \"errors_count\" => 2,\n        \"warnings_count\" => 3,\n        \"files\" => %{\n          \"gtfs_permanent_url\" => \"https://example.com/gtfs.zip\",\n          \"gtfs_rt_permanent_url\" => \"https://example.com/gtfs-rt\"\n        },\n        \"errors\" => [\n          %{\n            \"title\" => \"error title\",\n            \"description\" => \"error description\",\n            \"severity\" => \"ERROR\",\n            \"error_id\" => \"E001\",\n            \"errors_count\" => 2,\n            \"errors\" => [\"sample 1\", \"foo\"]\n          },\n          %{\n            \"title\" => \"warning title\",\n            \"description\" => \"warning description\",\n            \"severity\" => \"WARNING\",\n            \"error_id\" => \"W001\",\n            \"errors_count\" => 3,\n            \"errors\" => [\"sample 2\", \"bar\", \"baz\"]\n          }\n        ]\n      }\n\n      dataset = insert(:dataset)\n      resource = insert(:resource, dataset_id: dataset.id, url: resource_url, format: \"gtfs-rt\")\n\n      insert(:multi_validation,\n        validator: Transport.Validators.GTFSRT.validator_name(),\n        resource_id: resource.id,\n        validation_timestamp: DateTime.utc_now(),\n        result: validation_result\n      )\n\n      resource = DB.Resource |> preload(:dataset) |> DB.Repo.get!(resource.id)\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^resource_url, [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: File.read!(@service_alerts_file)}}\n      end)\n\n      assert DB.Resource.gtfs_rt?(resource)\n\n      content = conn |> get(resource_path(conn, :details, resource.id)) |> html_response(200)\n\n      [\n        \"2 erreurs\",\n        \"3 avertissements\",\n        \"error title\",\n        \"E001\",\n        \"warning title\",\n        \"W001\",\n        \"sample 1\",\n        \"sample 2\",\n        validation_result[\"files\"][\"gtfs_permanent_url\"],\n        validation_result[\"files\"][\"gtfs_rt_permanent_url\"],\n        \"Prolongation des travaux rue de Kermaria\",\n        \"Impossible de déterminer le fichier GTFS à utiliser\",\n        \"Validations précédentes\"\n      ]\n      |> Enum.each(&assert content =~ &1)\n    end\n\n    test \"gtfs-rt resource with feed decode error\", %{conn: conn} do\n      %{url: url} = resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"5\")\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^url, [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 502, body: \"\"}}\n      end)\n\n      assert DB.Resource.gtfs_rt?(resource)\n      content = conn |> get(resource_path(conn, :details, resource.id)) |> html_response(200)\n\n      assert content =~ \"Impossible de décoder le flux GTFS-RT\"\n    end\n  end\n\n  describe \"download\" do\n    test \"HEAD request for an HTTP resource\", %{conn: conn} do\n      resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"2\")\n      refute DB.Resource.can_direct_download?(resource)\n\n      Transport.HTTPoison.Mock\n      |> expect(:head, fn url, [] ->\n        assert url == resource.url\n\n        {:ok,\n         %HTTPoison.Response{\n           status_code: 200,\n           headers: [\n             {\"Content-Type\", \"application/zip\"},\n             {\"foo\", \"bar\"},\n             {\"transfer-encoding\", \"chunked\"},\n             {\"date\", \"date_value\"}\n           ]\n         }}\n      end)\n\n      assert %Plug.Conn{assigns: %{original_method: \"HEAD\"}, resp_body: \"\", status: 200} =\n               conn = conn |> head(resource_path(conn, :download, resource.id))\n\n      assert [\"application/zip\"] == conn |> get_resp_header(\"content-type\")\n      assert [\"date_value\"] == conn |> get_resp_header(\"date\")\n      # Headers absent from the allowlist have been removed\n      assert [] == conn |> get_resp_header(\"foo\")\n      assert [] == conn |> get_resp_header(\"transfer-encoding\")\n\n      # With a resource that can be directly downloaded\n      resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"1\")\n      assert DB.Resource.can_direct_download?(resource)\n      assert conn |> head(resource_path(conn, :download, resource.id)) |> response(404) == \"\"\n    end\n\n    test \"downloading a resource that can be directly downloaded\", %{conn: conn} do\n      resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"1\")\n      assert DB.Resource.can_direct_download?(resource)\n\n      location = conn |> get(resource_path(conn, :download, resource.id)) |> redirected_to\n      assert location == resource.url\n    end\n\n    test \"downloading a resource that cannot be directly downloaded\", %{conn: conn} do\n      resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"2\")\n      refute DB.Resource.can_direct_download?(resource)\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn url, [], hackney: [follow_redirect: true] ->\n        assert url == resource.url\n        {:ok, %HTTPoison.Response{status_code: 200, body: \"payload\", headers: [{\"Content-Type\", \"application/zip\"}]}}\n      end)\n\n      conn = conn |> get(resource_path(conn, :download, resource.id))\n      assert [\"application/zip\"] == conn |> get_resp_header(\"content-type\")\n      assert [~s(attachment; filename=\"angers.zip\")] == conn |> get_resp_header(\"content-disposition\")\n\n      assert conn |> response(200) == \"payload\"\n    end\n\n    test \"downloading a resource that cannot be directly downloaded with a filename\", %{conn: conn} do\n      resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"2\")\n      refute DB.Resource.can_direct_download?(resource)\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn url, [], hackney: [follow_redirect: true] ->\n        assert url == resource.url\n\n        {:ok,\n         %HTTPoison.Response{\n           status_code: 200,\n           body: \"payload\",\n           headers: [{\"Content-Type\", \"application/zip\"}, {\"Content-Disposition\", ~s(attachment; filename=\"foo.zip\")}]\n         }}\n      end)\n\n      conn = conn |> get(resource_path(conn, :download, resource.id))\n      assert [\"application/zip\"] == conn |> get_resp_header(\"content-type\")\n      assert [~s(attachment; filename=\"foo.zip\")] == conn |> get_resp_header(\"content-disposition\")\n\n      assert conn |> response(200) == \"payload\"\n    end\n\n    test \"downloading a resource that cannot be directly downloaded, not found case\", %{conn: conn} do\n      test_remote_download_error(conn, 404)\n    end\n\n    test \"downloading a resource that cannot be directly downloaded, remote server error case\", %{conn: conn} do\n      for status_code <- [500, 502] do\n        test_remote_download_error(conn, status_code)\n      end\n    end\n\n    test \"HEAD request for a PAN resource\", %{conn: conn} do\n      dataset = insert(:dataset, organization_id: @pan_org_id)\n      resource = insert(:resource, dataset: dataset)\n\n      assert conn |> head(resource_path(conn, :download, resource.id)) |> response(200)\n    end\n\n    test \"download a PAN resource, invalid token\", %{conn: conn} do\n      dataset = insert(:dataset, organization_id: @pan_org_id)\n      resource = insert(:resource, dataset: dataset)\n\n      assert \"You must set a valid Authorization header\" ==\n               conn\n               |> get(resource_path(conn, :download, resource.id, token: \"invalid\"))\n               |> response(401)\n\n      assert [] = DB.ResourceDownload |> DB.Repo.all()\n    end\n\n    test \"download a PAN resource, no token\", %{conn: conn} do\n      dataset = insert(:dataset, organization_id: @pan_org_id)\n\n      %DB.Resource{id: resource_id} =\n        resource = insert(:resource, dataset: dataset, latest_url: latest_url = \"https://example.com/latest_url\")\n\n      assert latest_url ==\n               conn\n               |> get(resource_path(conn, :download, resource.id))\n               |> redirected_to(302)\n\n      assert [%DB.ResourceDownload{token_id: nil, resource_id: ^resource_id}] = DB.ResourceDownload |> DB.Repo.all()\n    end\n\n    test \"download a PAN resource, valid token\", %{conn: conn} do\n      dataset = insert(:dataset, organization_id: @pan_org_id)\n\n      %DB.Resource{id: resource_id} =\n        resource = insert(:resource, dataset: dataset, latest_url: latest_url = \"https://example.com/latest_url\")\n\n      %DB.Token{id: token_id} = token = insert_token()\n\n      assert latest_url ==\n               conn\n               |> get(resource_path(conn, :download, resource.id, token: token.secret))\n               |> redirected_to(302)\n\n      assert [%DB.ResourceDownload{token_id: ^token_id, resource_id: ^resource_id}] =\n               DB.ResourceDownload |> DB.Repo.all()\n    end\n\n    test \"HEAD request for a dataset with the experimental tag\", %{conn: conn} do\n      dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n      resource = insert(:resource, url: url = \"https://example.com/head\", dataset: dataset)\n\n      Transport.HTTPoison.Mock\n      |> expect(:head, fn ^url, [] ->\n        {:ok, %HTTPoison.Response{status_code: 200}}\n      end)\n\n      assert conn |> head(resource_path(conn, :download, resource.id)) |> response(200)\n    end\n\n    test \"download a dataset with the experimental tag, invalid token\", %{conn: conn} do\n      dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n      resource = insert(:resource, dataset: dataset)\n\n      assert \"You must set a valid Authorization header\" ==\n               conn\n               |> get(resource_path(conn, :download, resource.id, token: \"invalid\"))\n               |> response(401)\n\n      assert [] = DB.ResourceDownload |> DB.Repo.all()\n    end\n\n    test \"download a dataset with the experimental tag, no token\", %{conn: conn} do\n      dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n\n      %DB.Resource{id: resource_id} =\n        resource = insert(:resource, dataset: dataset, latest_url: latest_url = \"https://example.com/latest_url\")\n\n      assert latest_url ==\n               conn\n               |> get(resource_path(conn, :download, resource.id))\n               |> redirected_to(302)\n\n      assert [%DB.ResourceDownload{token_id: nil, resource_id: ^resource_id}] = DB.ResourceDownload |> DB.Repo.all()\n    end\n\n    test \"download a dataset with the experimental tag, valid token\", %{conn: conn} do\n      dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n\n      %DB.Resource{id: resource_id} =\n        resource = insert(:resource, dataset: dataset, latest_url: latest_url = \"https://example.com/latest_url\")\n\n      %DB.Token{id: token_id} = token = insert_token()\n\n      assert latest_url ==\n               conn\n               |> get(resource_path(conn, :download, resource.id, token: token.secret))\n               |> redirected_to(302)\n\n      assert [%DB.ResourceDownload{token_id: ^token_id, resource_id: ^resource_id}] =\n               DB.ResourceDownload |> DB.Repo.all()\n    end\n  end\n\n  test \"resource#details, PAN resource, logged-in user with a default token\", %{conn: conn} do\n    dataset = insert(:dataset, organization_id: @pan_org_id)\n    resource = insert(:resource, dataset: dataset)\n    assert resource |> DB.Repo.preload(:dataset) |> DB.Resource.pan_resource?()\n\n    contact = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n    token = insert_token()\n    insert(:default_token, contact: contact, token: token)\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id, token: token.secret)] ==\n             conn\n             |> Phoenix.ConnTest.init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> resource_href_download_button(resource)\n  end\n\n  test \"resource#details, PAN resource, logged-in user without a default token\", %{conn: conn} do\n    dataset = insert(:dataset, organization_id: @pan_org_id)\n    resource = insert(:resource, dataset: dataset)\n    assert resource |> DB.Repo.preload(:dataset) |> DB.Resource.pan_resource?()\n\n    organization = insert(:organization)\n\n    insert_contact(%{\n      datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n      organizations: [organization |> Map.from_struct()]\n    })\n\n    insert_token(%{organization_id: organization.id})\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id)] ==\n             conn\n             |> Phoenix.ConnTest.init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> resource_href_download_button(resource)\n  end\n\n  test \"resource#details, PAN resource, logged-out user\", %{conn: conn} do\n    dataset = insert(:dataset, organization_id: @pan_org_id)\n    resource = insert(:resource, dataset: dataset)\n    assert resource |> DB.Repo.preload(:dataset) |> DB.Resource.pan_resource?()\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id)] ==\n             conn |> resource_href_download_button(resource)\n  end\n\n  test \"resource#details, dataset with experimentation tag, logged-in user with a default token\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, dataset: dataset)\n\n    contact = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n    token = insert_token()\n    insert(:default_token, contact: contact, token: token)\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id, token: token.secret)] ==\n             conn\n             |> Phoenix.ConnTest.init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> resource_href_download_button(resource)\n  end\n\n  test \"resource#details, dataset with experimentation tag, logged-in user without a default token\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, dataset: dataset)\n\n    organization = insert(:organization)\n\n    insert_contact(%{\n      datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n      organizations: [organization |> Map.from_struct()]\n    })\n\n    insert_token(%{organization_id: organization.id})\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id)] ==\n             conn\n             |> Phoenix.ConnTest.init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> resource_href_download_button(resource)\n  end\n\n  test \"resource#details, dataset with experimentation tag, logged-out user\", %{conn: conn} do\n    dataset = insert(:dataset, custom_tags: [\"authentification_experimentation\"])\n    resource = insert(:resource, dataset: dataset)\n\n    assert [resource_url(TransportWeb.Endpoint, :download, resource.id)] ==\n             conn |> resource_href_download_button(resource)\n  end\n\n  test \"resource#details, proxy resource, logged-in user with a default token\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/#{Ecto.UUID.generate()}\")\n    assert resource |> DB.Resource.served_by_proxy?()\n\n    contact = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n    token = insert_token()\n    insert(:default_token, contact: contact, token: token)\n\n    assert [resource.url <> \"?token=#{token.secret}\"] ==\n             conn\n             |> Phoenix.ConnTest.init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> resource_href_download_button(resource)\n  end\n\n  test \"resource#details, proxy resource, logged-in user without a default token\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/#{Ecto.UUID.generate()}\")\n    assert resource |> DB.Resource.served_by_proxy?()\n\n    organization = insert(:organization)\n\n    insert_contact(%{\n      datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n      organizations: [organization |> Map.from_struct()]\n    })\n\n    insert_token(%{organization_id: organization.id})\n\n    assert [resource.url] ==\n             conn\n             |> Phoenix.ConnTest.init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n             |> resource_href_download_button(resource)\n  end\n\n  test \"resource#details, proxy resource, logged-out user\", %{conn: conn} do\n    dataset = insert(:dataset)\n    resource = insert(:resource, dataset: dataset, url: \"https://proxy.transport.data.gouv.fr/#{Ecto.UUID.generate()}\")\n    assert resource |> DB.Resource.served_by_proxy?()\n\n    assert [resource.url] == conn |> resource_href_download_button(resource)\n  end\n\n  test \"flash message when parent dataset is inactive\", %{conn: conn} do\n    %{id: dataset_id} = insert(:dataset, %{is_active: false})\n    %{id: resource_id} = insert(:resource, %{dataset_id: dataset_id, url: \"https://example.com/file\"})\n\n    conn = conn |> get(resource_path(conn, :details, resource_id))\n    assert conn |> html_response(200) =~ \"supprimé de data.gouv.fr\"\n  end\n\n  test \"no flash message when parent dataset is active\", %{conn: conn} do\n    %{id: dataset_id} = insert(:dataset, %{is_active: true})\n    %{id: resource_id} = insert(:resource, %{dataset_id: dataset_id, url: \"https://example.com/file\"})\n\n    conn = conn |> get(resource_path(conn, :details, resource_id))\n    refute conn |> html_response(200) =~ \"supprimé de data.gouv.fr\"\n  end\n\n  test \"no validation report section for documentation resources\", %{conn: conn} do\n    resource =\n      insert(:resource, %{\n        dataset: insert(:dataset),\n        format: \"pdf\",\n        url: \"https://example.com/file\",\n        type: \"documentation\"\n      })\n\n    assert DB.Resource.documentation?(resource)\n\n    refute conn |> get(resource_path(conn, :details, resource.id)) |> html_response(200) =~ \"Rapport de validation\"\n  end\n\n  describe \"Validation reports\" do\n    test \"GTFS Transport validation is shown\", %{conn: conn} do\n      items = page_size() * 2 + 1\n\n      for params <- gtfs_params(\"MissingCoordinates\") do\n        %{id: dataset_id} = insert(:dataset)\n\n        %{id: resource_id} =\n          insert(:resource, %{\n            dataset_id: dataset_id,\n            format: \"GTFS\",\n            url: \"https://example.com/file\"\n          })\n\n        conn1 = conn |> get(resource_path(conn, :details, resource_id))\n        assert conn1 |> html_response(200) =~ \"Pas de validation disponible\"\n\n        %{id: resource_history_id} =\n          insert(:resource_history, %{\n            resource_id: resource_id,\n            payload: %{\"permanent_url\" => permanent_url = \"https://example.com/#{Ecto.UUID.generate()}\"}\n          })\n\n        result = %{\n          \"NullDuration\" => [%{\"severity\" => \"Information\"}] |> repeated(items),\n          \"MissingCoordinates\" => [%{\"severity\" => \"Warning\"}] |> repeated(items)\n        }\n\n        %{metadata: metadata} =\n          insert(:multi_validation, %{\n            resource_history_id: resource_history_id,\n            validator: Transport.Validators.GTFSTransport.validator_name(),\n            result: result,\n            max_error: \"Warning\",\n            metadata: %DB.ResourceMetadata{\n              metadata: %{\n                \"networks\" => [\"3CM\", \"RLV\"],\n                \"networks_start_end_dates\" => %{\n                  \"3CM\" => %{\n                    \"end_date\" => \"2022-09-30\",\n                    \"start_date\" => \"2021-03-05\"\n                  },\n                  \"RLV\" => %{\n                    end_date: \"2022-11-20\",\n                    start_date: \"2022-08-29\"\n                  }\n                },\n                \"stats\" => %{\n                  \"stop_points_count\" => 1_322,\n                  \"stop_areas_count\" => 30,\n                  \"routes_count\" => 123,\n                  \"routes_with_short_name_count\" => 5\n                }\n              },\n              modes: [\"ferry\"]\n            },\n            validation_timestamp: ~U[2022-10-28 14:12:29.041243Z]\n          })\n\n        content = conn |> get(resource_path(conn, :details, resource_id, params)) |> html_response(200)\n        assert content =~ \"Rapport de validation\"\n        assert content =~ \"ferry\"\n        assert content =~ ~r\"nombre de lignes :(\\s*)<strong>123</strong>\"\n        assert content =~ ~r\"nombre d&#39;arrêts :(\\s*)<strong>1 322</strong>\"\n        assert content =~ ~r\"nombre de zones d&#39;arrêts :(\\s*)<strong>30</strong>\"\n        assert content =~ \"couverture calendaire par réseau\"\n        assert content =~ \"3CM\"\n        assert content =~ \"30/09/2022\"\n\n        assert content =~\n                 ~s{Validation effectuée en utilisant <a href=\"#{permanent_url}\">le fichier GTFS en vigueur</a> le 28/10/2022 à 16h12 Europe/Paris}\n\n        [\n          # Features are displayed in a table\n          {\"table\", [{\"class\", _}],\n           [\n             {\"thead\", [],\n              [\n                {\"tr\", [],\n                 [\n                   {\"th\", [], [\"Description\"]},\n                   {\"th\", [], [\"Fichier ou champ\"]},\n                   {\"th\", [], [\"Statut\"]},\n                   {\"th\", [], [\"Quantité\"]}\n                 ]}\n              ]},\n             {\"tbody\", [], rows}\n           ]},\n          # Issues are listed in a paginated table\n          {\"table\", [{\"class\", \"table\"}],\n           [\n             {\"tr\", [],\n              [\n                {\"th\", [], [\"Type d'objet\"]},\n                {\"th\", [], [\"Identifiant\"]},\n                {\"th\", [], [\"Nom de l’objet\"]},\n                {\"th\", [], [\"Identifiant associé\"]},\n                {\"th\", [], [\"Détails\"]}\n              ]}\n             | list\n           ]}\n        ] = content |> Floki.parse_document!() |> Floki.find(\"table\")\n\n        assert page_size() == Enum.count(list)\n\n        assert {\"tr\", [],\n                [\n                  {\"td\", [], [\"Nom court ou n° de la ligne\"]},\n                  {\"td\", [{\"lang\", \"en\"}], [{\"code\", [], [\"routes.txt\"]}, \" — \", {\"code\", [], [\"route_short_name\"]}]},\n                  {\"td\", [], [\"✅\"]},\n                  {\"td\", [], [\"5\"]}\n                ]} in rows\n\n        # we remove \"networks_start_end_dates\" content\n        DB.Repo.update!(\n          Ecto.Changeset.change(metadata, %{\n            metadata: %{\"networks_start_end_dates\" => nil, \"networks\" => [\"foo\", \"bar\"]}\n          })\n        )\n\n        refute conn\n               |> get(resource_path(conn, :details, resource_id, params))\n               |> html_response(200) =~ \"couverture calendaire par réseau\"\n      end\n    end\n\n    test \"NeTEx validation is shown\", %{conn: conn} do\n      page_size = 10\n\n      items = page_size * 2 + 1\n\n      issues =\n        [\n          %{\n            \"code\" => \"xsd-1871\",\n            \"message\" =>\n              \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\",\n            \"criticity\" => \"error\"\n          }\n        ]\n        |> repeated(items)\n\n      for version <- [\"0.1.0\", \"0.2.0\", \"0.2.1\"],\n          params <- netex_params_for(version) do\n        %{id: dataset_id} = insert(:dataset)\n\n        resource =\n          insert(:resource, %{\n            dataset_id: dataset_id,\n            format: \"NeTEx\",\n            url: \"https://example.com/file\"\n          })\n\n        url = resource_path(conn, :details, resource.id)\n        conn1 = conn |> get(url, params)\n        assert conn1 |> html_response(200) =~ \"Pas de validation disponible\"\n\n        %{id: resource_history_id} =\n          insert(:resource_history, %{\n            resource: resource,\n            payload: %{\"permanent_url\" => permanent_url = \"https://example.com/#{Ecto.UUID.generate()}\"}\n          })\n\n        result =\n          case version do\n            \"0.1.0\" -> %{\"xsd-1871\" => issues}\n            _ -> %{\"xsd-schema\" => issues}\n          end\n\n        results_adapter = Transport.Validators.NeTEx.ResultsAdapter.resolve(version)\n\n        networks = [\"Réseau urbain\", \"Réseau inter-urbain\"]\n        modes = [\"bus\", \"ferry\"]\n\n        insert(:multi_validation, %{\n          resource_history_id: resource_history_id,\n          validator: Transport.Validators.NeTEx.Validator.validator_name(),\n          validator_version: version,\n          digest: results_adapter.digest(result),\n          binary_result: results_adapter.to_binary_result(result),\n          max_error: \"error\",\n          metadata: %DB.ResourceMetadata{\n            metadata: %{\n              \"elapsed_seconds\" => 42,\n              \"networks\" => networks,\n              \"modes\" => modes,\n              \"stats\" => %{\n                \"lines_count\" => 1,\n                \"quays_count\" => 1002,\n                \"stop_places_count\" => 103\n              }\n            },\n            modes: modes,\n            features: []\n          },\n          validation_timestamp: ~U[2022-10-28 14:12:29.041243Z]\n        })\n\n        url = resource_path(conn, :details, resource.id)\n        content = conn |> get(url, params) |> html_response(200)\n        assert content =~ \"Rapport de validation\"\n\n        assert content =~\n                 ~s{Validation effectuée en utilisant <a href=\"#{permanent_url}\">le fichier NeTEx en vigueur</a> le 28/10/2022 à 16h12 Europe/Paris}\n\n        rows = content |> Floki.parse_document!() |> Floki.find(\"table tr.message\")\n\n        if version in [\"0.2.0\", \"0.2.1\"] do\n          assert distinct_xsd_errors(issues) == Enum.count(rows)\n        else\n          assert page_size == Enum.count(rows)\n        end\n\n        assert content =~ \"réseaux\"\n        assert content =~ \"Réseau urbain, Réseau inter-urbain\"\n\n        assert content =~ \"modes de transport\"\n        assert content =~ \"bus, ferry\"\n        assert content =~ ~r\"nombre de lignes :(\\s*)<strong>1</strong>\"\n        assert content =~ ~r\"nombre de zones d’embarquement :(\\s*)<strong>1 002</strong>\"\n        assert content =~ ~r\"nombre de lieux d’arrêt :(\\s*)<strong>103</strong>\"\n\n        if version in [\"0.2.0\", \"0.2.1\"] do\n          assert content =~ \"Au format CSV :\"\n          assert content =~ \"validation.csv\"\n\n          assert content =~ \"Au format Parquet :\"\n          assert content =~ \"validation.parquet\"\n        end\n      end\n    end\n\n    test \"GTFS-RT validation is shown\", %{conn: conn} do\n      %{id: dataset_id} = insert(:dataset)\n      %{id: gtfs_id} = insert(:resource, format: \"GTFS\", dataset_id: dataset_id)\n\n      %{id: resource_id} =\n        insert(:resource, %{\n          dataset_id: dataset_id,\n          format: \"gtfs-rt\",\n          url: \"https://example.com/file\"\n        })\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, 2, fn _, _, _ -> {:ok, %HTTPoison.Response{status_code: 200, body: \"\"}} end)\n\n      {conn1, _} = with_log(fn -> conn |> get(resource_path(conn, :details, resource_id)) end)\n      assert conn1 |> html_response(200) =~ \"Pas de validation disponible\"\n      # Even without a multi-validation we can validate now as we have a single GTFS resource\n      assert conn1 |> html_response(200) =~ \"Valider ce GTFS-RT maintenant\"\n\n      %{id: resource_history_id} = insert(:resource_history, %{resource_id: resource_id})\n\n      insert(:multi_validation, %{\n        resource_history_id: resource_history_id,\n        validator: Transport.Validators.GTFSRT.validator_name(),\n        result: %{\n          \"errors\" => [\n            %{\n              \"title\" => \"oops\",\n              \"severity\" => \"ERROR\",\n              \"error_id\" => \"id\",\n              \"errors_count\" => 1,\n              \"description\" => \"oops\",\n              \"errors\" => [\"oops\"]\n            }\n          ],\n          \"has_errors\" => true,\n          \"errors_count\" => 1,\n          \"ignore_shapes\" => true,\n          \"files\" => %{\n            \"gtfs_permanent_url\" => \"url\",\n            \"gtfs_rt_permanent_url\" => \"url\"\n          }\n        },\n        secondary_resource_id: gtfs_id,\n        metadata: %DB.ResourceMetadata{metadata: %{}}\n      })\n\n      {conn2, _} = with_log(fn -> conn |> get(resource_path(conn, :details, resource_id)) end)\n      assert conn2 |> html_response(200) =~ \"Rapport de validation\"\n      assert conn2 |> html_response(200) =~ \"1 erreur\"\n      assert conn2 |> html_response(200) =~ \"Les shapes présentes dans le GTFS ont été ignorées\"\n      assert conn2 |> html_response(200) =~ \"Valider ce GTFS-RT maintenant\"\n      refute conn2 |> html_response(200) =~ \"Pas de validation disponible\"\n    end\n\n    test \"GTFS-RT validation when result is nil\", %{conn: conn} do\n      %{id: dataset_id} = insert(:dataset)\n      %{id: gtfs_id} = insert(:resource, format: \"GTFS\", dataset_id: dataset_id)\n\n      %{id: resource_id} =\n        insert(:resource, %{\n          dataset_id: dataset_id,\n          format: \"gtfs-rt\",\n          url: \"https://example.com/file\"\n        })\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn _, _, _ -> {:ok, %HTTPoison.Response{status_code: 200, body: \"\"}} end)\n\n      %{id: resource_history_id} = insert(:resource_history, %{resource_id: resource_id})\n\n      insert(:multi_validation, %{\n        resource_history_id: resource_history_id,\n        validator: Transport.Validators.GTFSRT.validator_name(),\n        result: nil,\n        digest: %{\"errors_count\" => 1, \"warnings_count\" => 0},\n        secondary_resource_id: gtfs_id,\n        metadata: %DB.ResourceMetadata{metadata: %{}}\n      })\n\n      {response, _} = with_log(fn -> conn |> get(resource_path(conn, :details, resource_id)) end)\n      assert response |> html_response(200) =~ \"Rapport de validation\"\n      assert response |> html_response(200) =~ \"1 erreur\"\n      assert response |> html_response(200) =~ \"Valider ce GTFS-RT maintenant\"\n      refute response |> html_response(200) =~ \"Pas de validation disponible\"\n    end\n\n    test \"GTFS-RT validation shows identifier mismatch warning when >= 50 matching errors\", %{conn: conn} do\n      %{id: dataset_id} = insert(:dataset)\n      %{id: gtfs_id} = insert(:resource, format: \"GTFS\", dataset_id: dataset_id)\n\n      %{id: resource_id} =\n        insert(:resource, %{\n          dataset_id: dataset_id,\n          format: \"gtfs-rt\",\n          url: \"https://example.com/file\"\n        })\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, 2, fn _, _, _ -> {:ok, %HTTPoison.Response{status_code: 200, body: \"\"}} end)\n\n      %{id: resource_history_id} = insert(:resource_history, %{resource_id: resource_id})\n\n      base_validation_fields = %{\n        resource_history_id: resource_history_id,\n        validator: Transport.Validators.GTFSRT.validator_name(),\n        secondary_resource_id: gtfs_id,\n        metadata: %DB.ResourceMetadata{metadata: %{}}\n      }\n\n      files = %{\"gtfs_permanent_url\" => \"url\", \"gtfs_rt_permanent_url\" => \"url\"}\n\n      # below threshold: no warning\n      insert(\n        :multi_validation,\n        Map.put(base_validation_fields, :result, %{\n          \"errors\" => [\n            %{\n              \"title\" => \"Unknown entity\",\n              \"severity\" => \"ERROR\",\n              \"error_id\" => \"E003\",\n              \"errors_count\" => 49,\n              \"description\" => \"desc\",\n              \"errors\" => []\n            }\n          ],\n          \"has_errors\" => true,\n          \"errors_count\" => 49,\n          \"files\" => files\n        })\n      )\n\n      {conn1, _} = with_log(fn -> conn |> get(resource_path(conn, :details, resource_id)) end)\n\n      refute conn1 |> html_response(200) =~\n               \"les identifiants du GTFS-RT ne correspondent pas\"\n\n      # at threshold: warning shown\n      insert(\n        :multi_validation,\n        Map.put(base_validation_fields, :result, %{\n          \"errors\" => [\n            %{\n              \"title\" => \"Unknown entity\",\n              \"severity\" => \"ERROR\",\n              \"error_id\" => \"E003\",\n              \"errors_count\" => 30,\n              \"description\" => \"desc\",\n              \"errors\" => []\n            },\n            %{\n              \"title\" => \"Another mismatch\",\n              \"severity\" => \"ERROR\",\n              \"error_id\" => \"E011\",\n              \"errors_count\" => 20,\n              \"description\" => \"desc\",\n              \"errors\" => []\n            },\n            %{\n              \"title\" => \"Unrelated error\",\n              \"severity\" => \"ERROR\",\n              \"error_id\" => \"E001\",\n              \"errors_count\" => 100,\n              \"description\" => \"desc\",\n              \"errors\" => []\n            }\n          ],\n          \"has_errors\" => true,\n          \"errors_count\" => 150,\n          \"files\" => files\n        })\n      )\n\n      {conn2, _} = with_log(fn -> conn |> get(resource_path(conn, :details, resource_id)) end)\n\n      assert conn2 |> html_response(200) =~\n               \"les identifiants du GTFS-RT ne correspondent pas\"\n    end\n\n    test \"Table Schema validation is shown\", %{conn: conn} do\n      %{id: dataset_id} = insert(:dataset)\n\n      %{id: resource_id} =\n        insert(:resource, %{\n          dataset_id: dataset_id,\n          format: \"csv\",\n          schema_name: schema_name = \"etalab/schema-lieux-covoiturage\",\n          url: \"https://example.com/file\"\n        })\n\n      Transport.Schemas.Mock\n      |> expect(:schemas_by_type, 3, fn type ->\n        case type do\n          \"tableschema\" -> %{schema_name => %{}}\n          \"jsonschema\" -> %{}\n        end\n      end)\n\n      Transport.Schemas.Mock\n      |> expect(:transport_schemas, 2, fn -> %{schema_name => %{\"title\" => \"foo\"}} end)\n\n      conn1 = conn |> get(resource_path(conn, :details, resource_id))\n      assert conn1 |> html_response(200) =~ \"Pas de validation disponible\"\n\n      insert(:multi_validation, %{\n        resource_history:\n          insert(:resource_history, %{resource_id: resource_id, payload: %{\"schema_name\" => schema_name}}),\n        validator: Transport.Validators.TableSchema.validator_name(),\n        result: %{\"has_errors\" => true, \"errors_count\" => 1, \"validation_performed\" => true, \"errors\" => [\"oops\"]},\n        metadata: %DB.ResourceMetadata{metadata: %{}}\n      })\n\n      response = conn |> get(resource_path(conn, :details, resource_id))\n      assert response |> html_response(200) =~ \"Rapport de validation\"\n      assert response |> html_response(200) =~ \"1 erreur\"\n      assert response |> html_response(200) =~ \"oops\"\n      refute response |> html_response(200) =~ \"Pas de validation disponible\"\n    end\n\n    test \"JSON Schema validation is shown\", %{conn: conn} do\n      %{id: dataset_id} = insert(:dataset)\n\n      %{id: resource_id} =\n        insert(:resource, %{\n          dataset_id: dataset_id,\n          format: \"csv\",\n          schema_name: schema_name = \"etalab/zfe\",\n          url: \"https://example.com/file\"\n        })\n\n      Transport.Schemas.Mock\n      |> expect(:schemas_by_type, 6, fn type ->\n        case type do\n          \"tableschema\" -> %{}\n          \"jsonschema\" -> %{schema_name => %{}}\n        end\n      end)\n\n      Transport.Schemas.Mock\n      |> expect(:transport_schemas, 2, fn -> %{schema_name => %{\"title\" => \"foo\"}} end)\n\n      conn1 = conn |> get(resource_path(conn, :details, resource_id))\n      assert conn1 |> html_response(200) =~ \"Pas de validation disponible\"\n\n      insert(:multi_validation, %{\n        resource_history:\n          insert(:resource_history, %{resource_id: resource_id, payload: %{\"schema_name\" => schema_name}}),\n        validator: Transport.Validators.JSONSchema.validator_name(),\n        result: %{\"has_errors\" => true, \"errors_count\" => 1, \"validation_performed\" => true, \"errors\" => [\"oops\"]},\n        metadata: %DB.ResourceMetadata{metadata: %{}}\n      })\n\n      response = conn |> get(resource_path(conn, :details, resource_id))\n      assert response |> html_response(200) =~ \"Rapport de validation\"\n      assert response |> html_response(200) =~ \"1 erreur\"\n      assert response |> html_response(200) =~ \"oops\"\n      refute response |> html_response(200) =~ \"Pas de validation disponible\"\n    end\n\n    test \"GTFS-Flex validation is shown\", %{conn: conn} do\n      dataset = insert(:dataset)\n      resource = insert(:resource, format: \"GTFS\", dataset: dataset)\n\n      rh =\n        insert(:resource_history,\n          resource: resource,\n          payload: %{\n            \"format\" => \"GTFS\",\n            \"filenames\" => [\"locations.geojson\", \"stops.txt\"],\n            \"permanent_url\" => \"https://example.com/gtfs\"\n          }\n        )\n\n      assert DB.ResourceHistory.gtfs_flex?(rh)\n\n      result = %{\n        \"notices\" => [\n          %{\n            \"code\" => \"unusable_trip\",\n            \"sampleNotices\" => [%{\"foo\" => \"bar\"}],\n            \"severity\" => \"WARNING\",\n            \"totalNotices\" => 1\n          }\n        ],\n        \"summary\" => %{\"validatorVersion\" => \"4.2.0\"}\n      }\n\n      insert(:multi_validation, %{\n        resource_history: rh,\n        validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n        metadata: %DB.ResourceMetadata{\n          metadata: %{\"start_date\" => \"2025-12-01\", \"end_date\" => \"2025-12-31\"},\n          features: [\"Bike Allowed\"]\n        },\n        result: result,\n        digest: Transport.Validators.MobilityDataGTFSValidator.digest(result),\n        max_error: \"WARNING\"\n      })\n\n      response = conn |> get(resource_path(conn, :details, resource.id))\n\n      # Resource metadata\n      assert response |> html_response(200) =~ \"01/12/2025\"\n      assert response |> html_response(200) =~ \"31/12/2025\"\n      assert response |> html_response(200) =~ \"Bike Allowed\"\n\n      # Validation\n      assert response |> html_response(200) =~ \"Rapport de validation\"\n      assert response |> html_response(200) =~ \"1 avertissement\"\n      assert response |> html_response(200) =~ \"unusable_trip\"\n      refute response |> html_response(200) =~ \"Pas de validation disponible\"\n    end\n\n    test \"GTFS-Flex with empty dates\", %{conn: conn} do\n      dataset = insert(:dataset)\n      resource = insert(:resource, format: \"GTFS\", dataset: dataset)\n\n      rh =\n        insert(:resource_history,\n          resource: resource,\n          payload: %{\n            \"format\" => \"GTFS\",\n            \"filenames\" => [\"locations.geojson\", \"stops.txt\"],\n            \"permanent_url\" => \"https://example.com/gtfs\"\n          }\n        )\n\n      assert DB.ResourceHistory.gtfs_flex?(rh)\n\n      result = %{\n        \"notices\" => [\n          %{\n            \"code\" => \"unusable_trip\",\n            \"sampleNotices\" => [%{\"foo\" => \"bar\"}],\n            \"severity\" => \"WARNING\",\n            \"totalNotices\" => 2\n          }\n        ],\n        \"summary\" => %{\"validatorVersion\" => \"4.2.0\"}\n      }\n\n      insert(:multi_validation, %{\n        resource_history: rh,\n        validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n        metadata: %DB.ResourceMetadata{\n          metadata: %{\"start_date\" => \"\", \"end_date\" => \"\"},\n          features: [\"Bike Allowed\"]\n        },\n        result: result,\n        digest: Transport.Validators.MobilityDataGTFSValidator.digest(result),\n        max_error: \"WARNING\"\n      })\n\n      response = conn |> get(resource_path(conn, :details, resource.id))\n\n      # Resource metadata\n      assert response |> html_response(200) =~ \"Bike Allowed\"\n\n      # Validation\n      assert response |> html_response(200) =~ \"Rapport de validation\"\n      assert response |> html_response(200) =~ \"2 avertissements\"\n      assert response |> html_response(200) =~ \"unusable_trip\"\n    end\n\n    test \"GTFS-Flex with lists as sampleNotices\", %{conn: conn} do\n      dataset = insert(:dataset)\n      resource = insert(:resource, format: \"GTFS\", dataset: dataset)\n\n      rh =\n        insert(:resource_history,\n          resource: resource,\n          payload: %{\n            \"format\" => \"GTFS\",\n            \"filenames\" => [\"locations.geojson\", \"stops.txt\"],\n            \"permanent_url\" => \"https://example.com/gtfs\"\n          }\n        )\n\n      assert DB.ResourceHistory.gtfs_flex?(rh)\n\n      result = %{\n        \"notices\" => [\n          %{\n            \"code\" => \"stop_too_far_from_shape_using_user_distance\",\n            \"severity\" => \"WARNING\",\n            \"totalNotices\" => 2,\n            \"sampleNotices\" => [\n              %{\n                \"match\" => [\n                  43.410709,\n                  3.678308\n                ],\n                \"stopId\" => \"SETCGAU1\",\n                \"tripId\" => \"93360_260105-5359\",\n                \"shapeId\" => \"260105-102\",\n                \"stopName\" => \"Charles De Gaulle\",\n                \"tripCsvRowNumber\" => 1_907,\n                \"geoDistanceToShape\" => 106.89965062036212,\n                \"stopTimeCsvRowNumber\" => 41_357\n              }\n            ]\n          }\n        ],\n        \"summary\" => %{\"validatorVersion\" => \"4.2.0\"}\n      }\n\n      insert(:multi_validation, %{\n        resource_history: rh,\n        validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n        result: result,\n        digest: Transport.Validators.MobilityDataGTFSValidator.digest(result),\n        max_error: \"WARNING\"\n      })\n\n      response = conn |> get(resource_path(conn, :details, resource.id))\n\n      # Validation\n      assert response |> html_response(200) =~ \"Rapport de validation\"\n      assert response |> html_response(200) =~ \"2 avertissements\"\n      assert response |> html_response(200) =~ \"stop_too_far_from_shape_using_user_distance\"\n      assert response |> html_response(200) =~ \"[43.410709, 3.678308]\"\n    end\n\n    test \"displays MobilityData if validated by both GTFS validators\", %{conn: conn} do\n      dataset = insert(:dataset)\n      resource = insert(:resource, format: \"GTFS\", dataset: dataset)\n\n      rh =\n        insert(:resource_history,\n          resource: resource,\n          payload: %{\n            \"format\" => \"GTFS\",\n            \"filenames\" => [\"locations.geojson\", \"stops.txt\"],\n            \"permanent_url\" => \"https://example.com/gtfs\"\n          }\n        )\n\n      assert DB.ResourceHistory.gtfs_flex?(rh)\n\n      result = %{\n        \"notices\" => [\n          %{\n            \"code\" => \"unusable_trip\",\n            \"sampleNotices\" => [%{\"foo\" => \"bar\"}],\n            \"severity\" => \"WARNING\",\n            \"totalNotices\" => 1\n          }\n        ],\n        \"summary\" => %{\"validatorVersion\" => \"4.2.0\"}\n      }\n\n      insert(:multi_validation, %{\n        resource_history: rh,\n        validator: Transport.Validators.MobilityDataGTFSValidator.validator_name(),\n        result: result,\n        digest: Transport.Validators.MobilityDataGTFSValidator.digest(result),\n        max_error: \"WARNING\"\n      })\n\n      insert(:multi_validation, %{\n        resource_history: rh,\n        validator: Transport.Validators.GTFSTransport.validator_name(),\n        result: nil,\n        max_error: \"Warning\"\n      })\n\n      response = conn |> get(resource_path(conn, :details, resource.id))\n\n      assert response |> html_response(200) =~ \"Rapport de validation\"\n      assert response |> html_response(200) =~ \"1 avertissement\"\n      assert response |> html_response(200) =~ \"unusable_trip\"\n    end\n\n    test \"does not crash when validation_performed is false\", %{conn: conn} do\n      %{id: dataset_id} = insert(:dataset)\n\n      %{id: resource_id} =\n        insert(:resource, %{\n          dataset_id: dataset_id,\n          format: \"csv\",\n          schema_name: schema_name = \"etalab/zfe\",\n          url: \"https://example.com/file\"\n        })\n\n      Transport.Schemas.Mock\n      |> expect(:schemas_by_type, 4, fn type ->\n        case type do\n          \"tableschema\" -> %{}\n          \"jsonschema\" -> %{schema_name => %{}}\n        end\n      end)\n\n      conn1 = conn |> get(resource_path(conn, :details, resource_id))\n      assert conn1 |> html_response(200) =~ \"Pas de validation disponible\"\n\n      %{id: resource_history_id} = insert(:resource_history, %{resource_id: resource_id})\n\n      insert(:multi_validation, %{\n        resource_history_id: resource_history_id,\n        validator: Transport.Validators.JSONSchema.validator_name(),\n        result: %{\"validation_performed\" => false}\n      })\n\n      conn2 = conn |> get(resource_path(conn, :details, resource_id))\n      assert conn2 |> html_response(200) =~ \"Pas de validation disponible\"\n    end\n  end\n\n  test \"gtfs-rt entities\" do\n    resource = %{id: resource_id} = insert(:resource, format: \"gtfs-rt\")\n    insert(:resource_metadata, resource_id: resource_id, features: [\"b\"])\n    insert(:resource_metadata, resource_id: resource_id, features: [\"a\", \"d\"])\n    insert(:resource_metadata, resource_id: resource_id, features: [\"c\"])\n    # too old\n    insert(:resource_metadata, resource_id: resource_id, features: [\"e\"], inserted_at: ~U[2020-01-01 00:00:00Z])\n\n    # we want a sorted list in the output!\n    assert [\"a\", \"b\", \"c\", \"d\"] = TransportWeb.ResourceController.gtfs_rt_entities(resource)\n  end\n\n  test \"SIRI RequestorRef is displayed\", %{conn: conn} do\n    requestor_ref_value = Ecto.UUID.generate()\n\n    resource =\n      insert(:resource,\n        format: \"SIRI\",\n        url: \"https://example.com/siri\",\n        dataset: insert(:dataset, custom_tags: [\"requestor_ref:#{requestor_ref_value}\", \"foo\"])\n      )\n\n    assert DB.Resource.siri?(resource)\n    assert requestor_ref_value == DB.Resource.requestor_ref(resource)\n\n    html = conn |> get(resource_path(conn, :details, resource.id)) |> html_response(200)\n    assert html =~ ~s{<h2 id=\"siri-authentication\">Authentification SIRI</h2>}\n    assert html =~ requestor_ref_value\n  end\n\n  test \"latest_validations_details\" do\n    resource = insert(:resource, format: \"gtfs-rt\")\n\n    insert(:multi_validation,\n      validator: Transport.Validators.GTFSRT.validator_name(),\n      resource_id: resource.id,\n      validation_timestamp: DateTime.utc_now() |> DateTime.add(-500),\n      result: %{\n        \"errors\" => [\n          %{\n            \"title\" => \"error title\",\n            \"description\" => \"error description\",\n            \"severity\" => \"ERROR\",\n            \"error_id\" => \"E001\",\n            \"errors_count\" => 2,\n            \"errors\" => [\"sample 1\", \"foo\"]\n          },\n          %{\n            \"title\" => \"warning title\",\n            \"description\" => \"warning description\",\n            \"severity\" => \"WARNING\",\n            \"error_id\" => \"W001\",\n            \"errors_count\" => 3,\n            \"errors\" => [\"sample 2\", \"bar\", \"baz\"]\n          }\n        ]\n      }\n    )\n\n    insert(:multi_validation,\n      validator: Transport.Validators.GTFSRT.validator_name(),\n      resource_id: resource.id,\n      validation_timestamp: DateTime.utc_now(),\n      result: %{\n        \"errors\" => [\n          %{\n            \"title\" => \"error title\",\n            \"description\" => \"error description\",\n            \"severity\" => \"ERROR\",\n            \"error_id\" => \"E001\",\n            \"errors_count\" => 1,\n            \"errors\" => [\"sample 1\"]\n          },\n          %{\n            \"title\" => \"error title\",\n            \"description\" => \"error description 002\",\n            \"severity\" => \"ERROR\",\n            \"error_id\" => \"E002\",\n            \"errors_count\" => 2,\n            \"errors\" => [\"sample 1\", \"sample 2\"]\n          }\n        ]\n      }\n    )\n\n    assert %{\n             \"E001\" => %{\n               \"description\" => \"error description\",\n               \"errors_count\" => 3,\n               \"occurence\" => 2,\n               \"percentage\" => 100\n             },\n             \"E002\" => %{\n               \"description\" => \"error description 002\",\n               \"errors_count\" => 2,\n               \"occurence\" => 1,\n               \"percentage\" => 50\n             },\n             \"W001\" => %{\n               \"description\" => \"warning description\",\n               \"errors_count\" => 3,\n               \"occurence\" => 1,\n               \"percentage\" => 50\n             }\n           } == TransportWeb.ResourceController.latest_validations_details(resource)\n  end\n\n  test \"resources_related are displayed\", %{conn: conn} do\n    %{url: gtfs_url} = gtfs_rt_resource = DB.Repo.get_by(DB.Resource, datagouv_id: \"5\", format: \"gtfs-rt\")\n    gtfs_resource = DB.Repo.get_by(DB.Resource, datagouv_id: \"1\", format: \"GTFS\")\n\n    insert(:resource_related, resource_src: gtfs_rt_resource, resource_dst: gtfs_resource, reason: :gtfs_rt_gtfs)\n\n    expect(Transport.HTTPoison.Mock, :get, fn ^gtfs_url, [], [follow_redirect: true] ->\n      {:ok, %HTTPoison.Response{status_code: 200, body: \"\"}}\n    end)\n\n    {html_response, _logs} =\n      with_log(fn -> conn |> get(resource_path(conn, :details, gtfs_rt_resource.id)) |> html_response(200) end)\n\n    assert html_response =~ ~s(<h2 id=\"related-resources\">Ressources associées</h2>)\n    assert html_response =~ \"Fichier GTFS associé\"\n  end\n\n  test \"resource size and link to explore.data.gouv.fr are displayed\", %{conn: conn} do\n    resource = insert(:resource, format: \"csv\", dataset: insert(:dataset, is_active: true))\n    insert(:resource_history, resource_id: resource.id, payload: %{\"filesize\" => \"1024\"})\n\n    html_response = conn |> get(resource_path(conn, :details, resource.id)) |> html_response(200)\n    assert html_response =~ \"Taille : 1 KB\"\n\n    assert TransportWeb.ResourceView.eligible_for_explore?(resource)\n    assert html_response =~ \"https://explore.data.gouv.fr\"\n  end\n\n  test \"NeTEx pagination\" do\n    config = make_pagination_config(%{})\n\n    total_pages_for_items = fn items ->\n      paginate_netex_results({items, repeated([{}], items)}, config).total_pages\n    end\n\n    assert 0 == total_pages_for_items.(0)\n    assert 1 == total_pages_for_items.(20)\n    assert 2 == total_pages_for_items.(22)\n    assert 2 == total_pages_for_items.(30)\n    assert 3 == total_pages_for_items.(41)\n  end\n\n  defp test_remote_download_error(%Plug.Conn{} = conn, mock_status_code) do\n    resource = DB.Resource |> DB.Repo.get_by(datagouv_id: \"2\")\n    refute DB.Resource.can_direct_download?(resource)\n\n    Transport.HTTPoison.Mock\n    |> expect(:get, fn url, [], hackney: [follow_redirect: true] ->\n      assert url == resource.url\n      {:ok, %HTTPoison.Response{status_code: mock_status_code}}\n    end)\n\n    conn = conn |> get(resource_path(conn, :download, resource.id))\n\n    html = html_response(conn, 404)\n    assert html =~ \"Page non disponible\"\n    assert Phoenix.Flash.get(conn.assigns.flash, :error) == \"La ressource n'est pas disponible sur le serveur distant\"\n  end\n\n  describe \"validation report download\" do\n    test \"NeTEx validation report\", %{conn: conn} do\n      {conn, contact_id} = connected_user(conn)\n\n      resource =\n        insert(:resource, %{\n          dataset: insert(:dataset),\n          format: \"NeTEx\",\n          url: \"https://example.com/file\"\n        })\n\n      for version <- [\"0.1.0\", \"0.2.0\", \"0.2.1\"] do\n        setup_netex_validation_report(resource, version, true)\n\n        assert expected_netex_report_content(version, nils_as_empty_string: true) ==\n                 conn\n                 |> get(resource_path(conn, :download_validation_report, resource.id))\n                 |> csv_response(200)\n                 |> parse_csv()\n\n        assert expected_netex_report_content(version) ==\n                 conn\n                 |> get(resource_path(conn, :download_validation_report, resource.id, format: \"parquet\"))\n                 |> parquet_response(200)\n                 |> parse_parquet()\n      end\n\n      resource_id = resource.id\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :download_validation_report,\n                 contact_id: ^contact_id,\n                 metadata: %{\"resource_id\" => ^resource_id, \"format\" => \"csv\"}\n               },\n               %DB.FeatureUsage{\n                 feature: :download_validation_report,\n                 contact_id: ^contact_id,\n                 metadata: %{\"resource_id\" => ^resource_id, \"format\" => \"parquet\"}\n               },\n               %DB.FeatureUsage{\n                 feature: :download_validation_report,\n                 contact_id: ^contact_id,\n                 metadata: %{\"resource_id\" => ^resource_id, \"format\" => \"csv\"}\n               },\n               %DB.FeatureUsage{\n                 feature: :download_validation_report,\n                 contact_id: ^contact_id,\n                 metadata: %{\"resource_id\" => ^resource_id, \"format\" => \"parquet\"}\n               },\n               %DB.FeatureUsage{\n                 feature: :download_validation_report,\n                 contact_id: ^contact_id,\n                 metadata: %{\"resource_id\" => ^resource_id, \"format\" => \"csv\"}\n               },\n               %DB.FeatureUsage{\n                 feature: :download_validation_report,\n                 contact_id: ^contact_id,\n                 metadata: %{\"resource_id\" => ^resource_id, \"format\" => \"parquet\"}\n               }\n             ] = DB.FeatureUsage |> DB.Repo.all()\n    end\n\n    test \"NeTEx validation report without binary_result\", %{conn: conn} do\n      resource =\n        insert(:resource, %{\n          dataset: insert(:dataset),\n          format: \"NeTEx\",\n          url: \"https://example.com/file\"\n        })\n\n      for version <- [\"0.1.0\", \"0.2.0\", \"0.2.1\"] do\n        setup_netex_validation_report(resource, version, false)\n\n        conn\n        |> get(resource_path(conn, :download_validation_report, resource.id))\n        |> html_response(404)\n\n        assert [] = DB.FeatureUsage |> DB.Repo.all()\n      end\n    end\n  end\n\n  defp setup_netex_validation_report(resource, version, with_binary_result) do\n    issues =\n      [\n        %{\n          \"code\" => \"xsd-1871\",\n          \"message\" =>\n            \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\",\n          \"criticity\" => \"error\"\n        }\n      ]\n\n    resource_history =\n      insert(:resource_history, %{\n        resource: resource,\n        payload: %{\"permanent_url\" => \"https://example.com/#{Ecto.UUID.generate()}\"}\n      })\n\n    result = %{\"xsd-schema\" => issues}\n\n    results_adapter = Transport.Validators.NeTEx.ResultsAdapter.resolve(version)\n\n    binary_result = if with_binary_result, do: results_adapter.to_binary_result(result)\n\n    insert(:multi_validation, %{\n      resource_history: resource_history,\n      validator: Transport.Validators.NeTEx.Validator.validator_name(),\n      validator_version: version,\n      digest: results_adapter.digest(result),\n      binary_result: binary_result,\n      max_error: \"error\"\n    })\n  end\n\n  def expected_netex_report_content(version, opts \\\\ [])\n\n  def expected_netex_report_content(\"0.1.0\", opts) do\n    expected_netex_report_content(\"0.2.1\", opts)\n    |> Enum.map(&Map.delete(&1, \"category\"))\n  end\n\n  def expected_netex_report_content(_, opts) do\n    nils_as_empty_string = Keyword.get(opts, :nils_as_empty_string, false)\n\n    empty =\n      if nils_as_empty_string do\n        \"\"\n      else\n        nil\n      end\n\n    [\n      %{\n        \"category\" => \"xsd-schema\",\n        \"code\" => \"xsd-1871\",\n        \"criticity\" => \"error\",\n        \"message\" =>\n          \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\",\n        \"resource.class\" => empty,\n        \"resource.column\" => empty,\n        \"resource.filename\" => empty,\n        \"resource.id\" => empty,\n        \"resource.line\" => empty\n      }\n    ]\n  end\n\n  defp connected_user(conn) do\n    %DB.Contact{id: contact_id} = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n    conn = conn |> Phoenix.ConnTest.init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n\n    {conn, contact_id}\n  end\n\n  def resource_href_download_button(%Plug.Conn{} = conn, %DB.Resource{} = resource) do\n    conn\n    |> get(resource_path(conn, :details, resource.id))\n    |> html_response(200)\n    |> Floki.parse_document!()\n    |> Floki.find(\".button-outline.small.secondary\")\n    |> hd()\n    |> Floki.attribute(\"href\")\n  end\n\n  defp gtfs_params(issue_type) do\n    expand_paginated_params([%{}, %{\"issue_type\" => issue_type}])\n  end\n\n  defp netex_params_for(version) do\n    filtered_params =\n      case version do\n        \"0.1.0\" -> %{\"issue_type\" => \"xsd-1871\"}\n        _ -> %{\"issues_category\" => \"xsd-schema\"}\n      end\n\n    expand_paginated_params([%{}, filtered_params])\n  end\n\n  defp expand_paginated_params(all_params) do\n    for params <- all_params,\n        page <- [nil, 1, 2] do\n      if is_nil(page) do\n        params\n      else\n        Map.merge(%{\"page\" => page}, params)\n      end\n    end\n  end\n\n  defp repeated(enumerable, times) do\n    enumerable\n    |> Stream.cycle()\n    |> Enum.take(times)\n  end\n\n  defp page_size do\n    TransportWeb.PaginationHelpers.make_pagination_config(%{}).page_size\n  end\n\n  defp distinct_xsd_errors(issues) do\n    issues\n    |> Enum.filter(&String.starts_with?(&1[\"code\"], \"xsd-\"))\n    |> Enum.map(& &1[\"message\"])\n    |> MapSet.new()\n    |> MapSet.size()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/reuse_controller_test.exs",
    "content": "defmodule TransportWeb.ReuseControllerTest do\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"index\" do\n    test \"page is displayed\", %{conn: conn} do\n      insert(:reuse, title: title = \"Ma réutilisation\")\n      assert conn |> get(reuse_path(conn, :index)) |> html_response(200) =~ title\n    end\n\n    test \"searching reuses\", %{conn: conn} do\n      d1 = insert(:dataset, type: \"public-transit\")\n      d2 = insert(:dataset, type: \"private-parking\")\n      foo = insert(:reuse, title: \"Foo\", datasets: [d1])\n      bar = insert(:reuse, owner: \"Bar\", datasets: [d2])\n\n      reuse_titles = fn q, type ->\n        conn\n        |> get(reuse_path(conn, :index), q: q, type: type)\n        |> html_response(200)\n        |> Floki.parse_document!()\n        |> Floki.find(\".card__content h3\")\n        |> Enum.map(&Floki.text/1)\n      end\n\n      assert [bar.title, foo.title] == reuse_titles.(\"\", \"\")\n      assert [foo.title] == reuse_titles.(\"foo\", \"\")\n      assert [bar.title] == reuse_titles.(\"ba\", \"\")\n      assert [bar.title] == reuse_titles.(\"\", d2.type)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/reuser_space_controller_test.exs",
    "content": "defmodule TransportWeb.ReuserSpaceControllerTest do\n  # `async: false` because we change the app config in a test\n  use TransportWeb.ConnCase, async: false\n  import TransportWeb.ReuserSpaceController\n  import DB.Factory\n  import Mox\n\n  @cache_name Transport.Cache.Cachex.cache_name()\n\n  @home_url reuser_space_path(TransportWeb.Endpoint, :espace_reutilisateur)\n  @google_maps_org_id \"63fdfe4f4cd1c437ac478323\"\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"espace_reutilisateur\" do\n    test \"logged out\", %{conn: conn} do\n      conn = conn |> get(@home_url)\n      assert redirected_to(conn, 302) == page_path(conn, :infos_reutilisateurs)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Vous devez être préalablement connecté\"\n    end\n\n    test \"logged in\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      content =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(@home_url)\n        |> html_response(200)\n\n      # Feedback form is displayed\n      refute content |> Floki.parse_document!() |> Floki.find(\"form.feedback-form\") |> Enum.empty?()\n    end\n\n    test \"urgent issues are displayed\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      dataset = insert(:dataset)\n      resource = insert(:resource, dataset: dataset, is_available: false)\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset.id, source: :follow_button)\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n      doc =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(@home_url)\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert doc |> Floki.find(~s|[data-name=\"important-information\"] h2|) |> Floki.text() ==\n               \"Informations importantes concernant les ressources que vous suivez\"\n\n      # Check that one row is displayed with the expected content\n      assert [row] = important_info_rows_without_recent_features(doc)\n\n      # Check dataset link\n      assert row |> Floki.find(\"a[href='/datasets/#{dataset.slug}']\") |> Enum.any?()\n\n      # Check resource link\n      assert row |> Floki.find(\"a[href='/resources/#{resource.id}']\") |> Enum.any?()\n\n      # Check hide button is present\n      assert row |> Floki.find(\"form.hide-alert-form\") |> Enum.any?()\n      assert row |> Floki.find(\"input[name='check_type'][value='unavailable_resource']\") |> Enum.any?()\n\n      # Check issue text\n      assert row |> Floki.text() |> String.contains?(\"Ressource indisponible\")\n\n      # If we're in the first 7 days, recent_features row should be present\n      all_tbody_rows = doc |> Floki.find(~s|[data-name=\"important-information\"] tbody tr|)\n\n      if Date.utc_today().day in 1..7 do\n        assert length(all_tbody_rows) == 2\n        assert Enum.any?(all_tbody_rows, &recent_features_row?/1)\n      else\n        assert length(all_tbody_rows) == 1\n      end\n    end\n  end\n\n  describe \"datasets_edit\" do\n    test \"logged out\", %{conn: conn} do\n      conn = conn |> get(reuser_space_path(conn, :datasets_edit, 42))\n      assert redirected_to(conn, 302) == page_path(conn, :infos_reutilisateurs)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Vous devez être préalablement connecté\"\n    end\n\n    test \"logged in, the requested dataset is not in the user's favorites\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      dataset = insert(:dataset)\n\n      conn =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(reuser_space_path(conn, :datasets_edit, dataset.id))\n\n      assert redirected_to(conn, 302) == reuser_space_path(conn, :espace_reutilisateur)\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) =~ \"Impossible de récupérer ce jeu de données pour le moment\"\n    end\n\n    test \"logged in, with a favorited dataset\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      dataset = insert(:dataset)\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset.id, source: :follow_button)\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n      assert conn\n             |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n             |> get(reuser_space_path(conn, :datasets_edit, dataset.id))\n             |> html_response(200)\n             |> Floki.parse_document!()\n             |> Floki.find(\".reuser-space-section h2\")\n             |> Floki.text() == dataset.custom_title\n    end\n\n    test \"logged in, dataset is eligible for the data sharing pilot\", %{conn: conn} do\n      organization = insert(:organization, id: @google_maps_org_id)\n      dataset = insert(:dataset, custom_tags: [\"repartage_donnees\"], type: \"public-transit\")\n\n      contact =\n        insert_contact(%{\n          datagouv_user_id: Ecto.UUID.generate(),\n          organizations: [organization |> Map.from_struct()]\n        })\n\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset.id, source: :follow_button)\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n      assert conn\n             |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n             |> get(reuser_space_path(conn, :datasets_edit, dataset.id))\n             |> html_response(200)\n             |> Floki.parse_document!()\n             |> Floki.find(\"#data-sharing\")\n             |> Floki.text()\n             |> String.trim() =~ \"Étape 1 : sélectionnez la ressource initiale du producteur\"\n    end\n  end\n\n  describe \"unfavorite\" do\n    test \"cache is invalidated after unfavoriting to avoid checks offset\", %{conn: conn} do\n      # Regression test: when the checks cache was not invalidated after unfavoriting,\n      # `Enum.zip(followed_datasets_ids, followed_datasets_checks)` would misalign\n      # dataset IDs with checks — e.g. dataset_B would receive dataset_A's checks.\n      #\n      # Setup: user follows 2 datasets.\n      # dataset_a has an unavailable resource (triggers an \"important information\" check).\n      # dataset_b is healthy (no checks).\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      dataset_a = insert(:dataset)\n      dataset_b = insert(:dataset)\n      insert(:resource, dataset: dataset_a, is_available: false)\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset_a.id, source: :follow_button)\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset_b.id, source: :follow_button)\n\n      Datagouvfr.Client.Discussions.Mock |> stub(:get, fn _datagouv_id -> [] end)\n\n      old_cache_impl = Application.fetch_env!(:transport, :cache_impl)\n      Application.put_env(:transport, :cache_impl, Transport.Cache.Cachex)\n\n      on_exit(fn ->\n        Application.put_env(:transport, :cache_impl, old_cache_impl)\n        Cachex.reset(@cache_name)\n      end)\n\n      # First page load: populates the cache with checks for [dataset_a, dataset_b].\n      # At this point 1 check row is expected (unavailable resource on dataset_a).\n      doc =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(@home_url)\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert length(important_info_rows_without_recent_features(doc)) == 1\n\n      # Unfavorite dataset_a — this should invalidate the cache.\n      conn\n      |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n      |> post(reuser_space_path(conn, :unfavorite, dataset_a.id))\n\n      # Second page load: only dataset_b is followed. The cache must have been\n      # invalidated so checks are recomputed for [dataset_b] only.\n      # Without the fix the stale cache returns [checks_a, checks_b], zip gives\n      # {dataset_b.id => checks_a}, and dataset_b incorrectly shows 1 check row.\n      doc =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(@home_url)\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert Enum.empty?(important_info_rows_without_recent_features(doc))\n    end\n\n    test \"requested dataset is not in the user's favorites\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      dataset = insert(:dataset)\n\n      conn =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> post(reuser_space_path(conn, :unfavorite, dataset.id))\n\n      assert redirected_to(conn, 302) == reuser_space_path(conn, :espace_reutilisateur)\n      assert Phoenix.Flash.get(conn.assigns.flash, :error) =~ \"Impossible de récupérer ce jeu de données pour le moment\"\n    end\n\n    test \"with a favorite dataset\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      dataset = insert(:dataset, custom_title: \"FooBar\")\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset.id, source: :follow_button)\n\n      insert(:notification_subscription,\n        contact_id: contact.id,\n        dataset_id: dataset.id,\n        source: :user,\n        reason: :expiration,\n        role: :reuser\n      )\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n      conn =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> post(reuser_space_path(conn, :unfavorite, dataset.id))\n\n      assert redirected_to(conn, 302) == reuser_space_path(conn, :espace_reutilisateur)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"FooBar a été retiré de vos favoris\"\n\n      assert %DB.Contact{notification_subscriptions: [], followed_datasets: []} =\n               DB.Repo.preload(contact, [:followed_datasets, :notification_subscriptions])\n    end\n  end\n\n  test \"add_improved_data\", %{conn: conn} do\n    %DB.Organization{id: organization_id} = organization = insert(:organization, id: @google_maps_org_id)\n    %DB.Dataset{id: dataset_id} = insert(:dataset, custom_tags: [\"repartage_donnees\"], type: \"public-transit\")\n    %DB.Resource{id: gtfs_id} = insert(:resource, dataset_id: dataset_id, format: \"GTFS\")\n\n    %DB.Contact{id: contact_id} =\n      contact =\n      insert_contact(%{\n        datagouv_user_id: Ecto.UUID.generate(),\n        organizations: [organization |> Map.from_struct()]\n      })\n\n    download_url = \"https://example.com/#{Ecto.UUID.generate()}\"\n\n    insert(:dataset_follower, contact_id: contact_id, dataset_id: dataset_id, source: :follow_button)\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, 2, fn _datagouv_id -> [] end)\n\n    conn =\n      conn\n      |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n      |> post(\n        reuser_space_path(conn, :add_improved_data, dataset_id, %{\n          \"resource_id\" => gtfs_id,\n          \"organization_id\" => @google_maps_org_id,\n          \"download_url\" => download_url\n        })\n      )\n\n    redirection_path = redirected_to(conn, 302)\n    assert reuser_space_path(conn, :datasets_edit, dataset_id) == redirection_path\n    assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Vos données améliorées ont bien été sauvegardées.\"\n\n    assert [\n             %DB.ReuserImprovedData{\n               dataset_id: ^dataset_id,\n               resource_id: ^gtfs_id,\n               contact_id: ^contact_id,\n               organization_id: ^organization_id,\n               download_url: ^download_url\n             }\n           ] = DB.ReuserImprovedData |> DB.Repo.all()\n\n    assert get(recycle(conn), redirection_path)\n           |> html_response(200)\n           |> Floki.parse_document!()\n           |> Floki.find(\"#data-sharing p.notification\")\n           |> Floki.text()\n           |> String.trim() == \"Vous avez déjà partagé des données améliorées pour ce jeu de données, merci !\"\n  end\n\n  describe \"data_sharing_pilot?\" do\n    test \"contact is not a member of an eligible organization\" do\n      dataset = %DB.Dataset{type: \"public-transit\", custom_tags: [\"repartage_donnees\"]}\n      contact = %DB.Contact{organizations: []}\n      refute data_sharing_pilot?(dataset, contact)\n    end\n\n    test \"dataset does not have the required tag\" do\n      dataset = %DB.Dataset{type: \"public-transit\", custom_tags: []}\n      contact = %DB.Contact{organizations: [%DB.Organization{id: @google_maps_org_id}]}\n      refute data_sharing_pilot?(dataset, contact)\n    end\n\n    test \"dataset is eligible for contact\" do\n      dataset = %DB.Dataset{type: \"public-transit\", custom_tags: [\"repartage_donnees\"]}\n      contact = %DB.Contact{organizations: [%DB.Organization{id: @google_maps_org_id}]}\n      assert data_sharing_pilot?(dataset, contact)\n    end\n  end\n\n  describe \"settings\" do\n    test \"panel links\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      assert conn\n             |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n             |> index_href_attributes() == [\n               reuser_space_path(conn, :notifications),\n               \"https://www.data.gouv.fr/admin/reuses/new/\",\n               reuser_space_path(conn, :settings)\n             ]\n    end\n\n    test \"no tokens\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      assert conn\n             |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n             |> get(reuser_space_path(conn, :settings))\n             |> html_response(200)\n             |> Floki.parse_document!()\n             |> Floki.find(\"p.notification\")\n             |> Floki.text()\n             |> String.trim() == \"Il n'y a pas de tokens pour le moment.\"\n    end\n\n    test \"an existing token is displayed\", %{conn: conn} do\n      organization = insert(:organization)\n\n      contact =\n        insert_contact(%{\n          datagouv_user_id: Ecto.UUID.generate(),\n          organizations: [organization |> Map.from_struct()]\n        })\n\n      token =\n        insert_token(%{\n          organization_id: organization.id,\n          contact_id: contact.id,\n          name: \"Default\"\n        })\n\n      insert(:default_token, token: token, contact: contact)\n\n      organization_name = organization.name\n      token_name = \"#{token.name} (par défaut)\"\n      token_secret = token.secret\n\n      assert [\n               {\"td\", [], [^organization_name]},\n               {\"td\", [], [{\"b\", [], [^token_name]}]},\n               {\"td\", [], [{\"code\", [], [^token_secret]}]},\n               {\"td\", [], [_]}\n             ] =\n               conn\n               |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n               |> get(reuser_space_path(conn, :settings))\n               |> html_response(200)\n               |> Floki.parse_document!()\n               |> Floki.find(\"table tr td\")\n    end\n\n    test \"personal token is displayed\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      token =\n        insert_token(%{\n          organization_id: nil,\n          contact_id: contact.id,\n          name: \"Default\"\n        })\n\n      insert(:default_token, token: token, contact: contact)\n\n      organization_name = \"Token personnel\"\n      token_name = \"#{token.name} (par défaut)\"\n      token_secret = token.secret\n\n      assert [\n               {\"td\", [], [^organization_name]},\n               {\"td\", [], [{\"b\", [], [^token_name]}]},\n               {\"td\", [], [{\"code\", [], [^token_secret]}]},\n               {\"td\", [], [_]}\n             ] =\n               conn\n               |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n               |> get(reuser_space_path(conn, :settings))\n               |> html_response(200)\n               |> Floki.parse_document!()\n               |> Floki.find(\"table tr td\")\n    end\n  end\n\n  describe \"new_token\" do\n    test \"no organizations\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      doc =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(reuser_space_path(conn, :new_token))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert doc |> Floki.find(\".panel form\") |> Enum.empty?()\n\n      assert doc\n             |> Floki.find(\"p.notification.error\")\n             |> Floki.text()\n             |> String.trim() == \"Vous devez être membre d'une organisation pour créer un nouveau token.\"\n    end\n\n    test \"member of an organization\", %{conn: conn} do\n      organization = insert(:organization)\n\n      contact =\n        insert_contact(%{\n          datagouv_user_id: Ecto.UUID.generate(),\n          organizations: [organization |> Map.from_struct()]\n        })\n\n      doc =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(reuser_space_path(conn, :new_token))\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      refute doc |> Floki.find(\".panel form\") |> Enum.empty?()\n\n      assert doc |> Floki.find(\".panel form option\") == [{\"option\", [{\"value\", organization.id}], [organization.name]}]\n    end\n  end\n\n  describe \"create_new_token\" do\n    test \"create a new token\", %{conn: conn} do\n      %DB.Organization{id: organization_id} = organization = insert(:organization)\n\n      %DB.Contact{id: contact_id} =\n        contact =\n        insert_contact(%{\n          datagouv_user_id: Ecto.UUID.generate(),\n          organizations: [organization |> Map.from_struct()]\n        })\n\n      assert DB.Token |> DB.Repo.all() |> Enum.empty?()\n\n      conn =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> post(reuser_space_path(conn, :create_new_token), %{organization_id: organization.id, name: name = \"Name\"})\n\n      assert redirected_to(conn, 302) == reuser_space_path(conn, :settings)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Votre token a bien été créé\"\n\n      assert [\n               %DB.Token{\n                 id: token_id,\n                 contact_id: ^contact_id,\n                 organization_id: ^organization_id,\n                 name: ^name\n               }\n             ] =\n               DB.Repo.all(DB.Token)\n\n      assert [%DB.Token{id: ^token_id}] = DB.Repo.preload(contact, :default_tokens) |> Map.fetch!(:default_tokens)\n    end\n\n    test \"creating a new token, with an error\", %{conn: conn} do\n      organization = insert(:organization)\n\n      contact =\n        insert_contact(%{\n          datagouv_user_id: Ecto.UUID.generate(),\n          organizations: [organization |> Map.from_struct()]\n        })\n\n      assert DB.Token |> DB.Repo.all() |> Enum.empty?()\n\n      assert conn\n             |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n             |> post(reuser_space_path(conn, :create_new_token), %{organization_id: organization.id})\n             |> html_response(200)\n             |> Floki.parse_document!()\n             |> Floki.find(\".notification.error\")\n             |> Floki.text() == \"name: can't be blank\"\n\n      assert [] = DB.Repo.all(DB.Token)\n    end\n\n    @tag :capture_log\n    test \"cannot pass a random organization_id\", %{conn: conn} do\n      organization = insert(:organization)\n\n      contact =\n        insert_contact(%{\n          datagouv_user_id: Ecto.UUID.generate(),\n          organizations: [organization |> Map.from_struct()]\n        })\n\n      assert DB.Token |> DB.Repo.all() |> Enum.empty?()\n\n      assert_raise MatchError, fn ->\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> post(reuser_space_path(conn, :create_new_token), %{organization_id: Ecto.UUID.generate(), name: \"Default\"})\n        |> html_response(200)\n      end\n    end\n\n    test \"creates a new token with an existing token\", %{conn: conn} do\n      %DB.Organization{id: organization_id} = organization = insert(:organization)\n\n      %DB.Contact{id: contact_id} =\n        contact =\n        insert_contact(%{\n          datagouv_user_id: Ecto.UUID.generate(),\n          organizations: [organization |> Map.from_struct()]\n        })\n\n      token = insert_token(%{contact_id: contact_id, organization_id: organization_id})\n      insert(:default_token, token: token, contact: contact)\n\n      conn =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> post(reuser_space_path(conn, :create_new_token), %{organization_id: organization.id, name: name = \"Name\"})\n\n      assert redirected_to(conn, 302) == reuser_space_path(conn, :settings)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Votre token a bien été créé\"\n\n      assert [\n               %DB.Token{id: t1_id},\n               %DB.Token{\n                 contact_id: ^contact_id,\n                 organization_id: ^organization_id,\n                 name: ^name\n               }\n             ] =\n               DB.Token |> DB.Repo.all() |> Enum.sort_by(& &1.inserted_at, DateTime)\n\n      assert [%DB.Token{id: ^t1_id}] = DB.Repo.preload(contact, :default_tokens) |> Map.fetch!(:default_tokens)\n    end\n  end\n\n  test \"delete_token\", %{conn: conn} do\n    organization = insert(:organization)\n\n    contact =\n      insert_contact(%{\n        datagouv_user_id: Ecto.UUID.generate(),\n        organizations: [organization |> Map.from_struct()]\n      })\n\n    t1 = insert_token(%{contact_id: contact.id, organization_id: organization.id, name: \"t1\"})\n    insert(:default_token, token: t1, contact: contact)\n\n    t2 = insert_token(%{contact_id: contact.id, organization_id: organization.id, name: \"t2\"})\n\n    conn =\n      conn\n      |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n      |> delete(reuser_space_path(conn, :delete_token, t2.id))\n\n    assert redirected_to(conn, 302) == reuser_space_path(conn, :settings)\n    assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Votre token a bien été supprimé\"\n\n    assert t2 |> DB.Repo.reload() |> is_nil()\n  end\n\n  test \"default_token\", %{conn: conn} do\n    organization = insert(:organization)\n\n    %DB.Contact{id: contact_id} =\n      contact =\n      insert_contact(%{\n        datagouv_user_id: Ecto.UUID.generate(),\n        organizations: [organization |> Map.from_struct()]\n      })\n\n    %DB.Contact{id: c2_id} = c2 = insert_contact()\n\n    t1 =\n      insert_token(%{\n        contact_id: contact.id,\n        organization_id: organization.id,\n        name: \"t1\"\n      })\n\n    insert(:default_token, token: t1, contact: contact)\n\n    %DB.Token{id: t2_id} = t2 = insert_token(%{contact_id: contact.id, organization_id: organization.id, name: \"t2\"})\n    insert(:default_token, token: t2, contact: c2)\n\n    conn =\n      conn\n      |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n      |> post(reuser_space_path(conn, :default_token, t2.id))\n\n    assert redirected_to(conn, 302) == reuser_space_path(conn, :settings)\n    assert Phoenix.Flash.get(conn.assigns.flash, :info) == \"Le token t2 est maintenant le token par défaut\"\n\n    assert [] = DB.Repo.preload(t1, :default_for_contacts) |> Map.fetch!(:default_for_contacts)\n\n    assert [%DB.Contact{id: ^contact_id}, %DB.Contact{id: ^c2_id}] =\n             DB.Repo.preload(t2, :default_for_contacts)\n             |> Map.fetch!(:default_for_contacts)\n             |> Enum.sort_by(& &1.inserted_at, DateTime)\n\n    assert [%DB.Token{id: ^t2_id}] = DB.Repo.preload(contact, :default_tokens) |> Map.fetch!(:default_tokens)\n  end\n\n  test \"contact can only have 1 default_token\" do\n    contact = insert_contact()\n    t1 = insert_token()\n    t2 = insert_token()\n\n    insert(:default_token, contact: contact, token: t1)\n\n    assert_raise Ecto.ConstraintError, ~r/default_token_contact_id_index/, fn ->\n      insert(:default_token, contact: contact, token: t2)\n    end\n  end\n\n  describe \"hide_alert\" do\n    test \"hides an alert for a resource\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      dataset = insert(:dataset)\n      resource = insert(:resource, dataset: dataset, is_available: false)\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset.id, source: :follow_button)\n\n      # The mock is called by ReuserData plug (1x) + controller checks (1x) = 2x per page load\n      # We have 2 page loads (initial + after hide) + 1 redirect that also calls the plug\n      Datagouvfr.Client.Discussions.Mock |> stub(:get, fn _datagouv_id -> [] end)\n\n      # First, check that the alert is visible and notification badge shows 1\n      doc =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(@home_url)\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert length(important_info_rows_without_recent_features(doc)) == 1\n      assert doc |> Floki.find(\".notification_badge\") |> Floki.text() =~ \"1\"\n\n      # Now hide the alert\n      conn =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> post(reuser_space_path(conn, :hide_alert, dataset.id), %{\n          \"check_type\" => \"unavailable_resource\",\n          \"resource_id\" => to_string(resource.id)\n        })\n\n      assert redirected_to(conn, 302) == @home_url\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Information masquée pendant 7 jours\"\n\n      # Check the database\n      assert [%DB.HiddenReuserAlert{} = hidden_alert] = DB.Repo.all(DB.HiddenReuserAlert)\n      assert hidden_alert.contact_id == contact.id\n      assert hidden_alert.dataset_id == dataset.id\n      assert hidden_alert.check_type == :unavailable_resource\n      assert hidden_alert.resource_id == resource.id\n      assert hidden_alert.discussion_id == nil\n\n      assert_in_delta hidden_alert.hidden_until |> DateTime.to_unix(),\n                      DateTime.add(DateTime.utc_now(), 7, :day) |> DateTime.to_unix(),\n                      1\n\n      # Check that the alert is no longer visible and notification badge is gone\n      doc =\n        conn\n        |> recycle()\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(@home_url)\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert Enum.empty?(important_info_rows_without_recent_features(doc))\n      assert doc |> Floki.find(\".notification_badge\") |> Enum.empty?()\n    end\n\n    test \"hides an alert for a discussion\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      dataset = insert(:dataset)\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset.id, source: :follow_button)\n      discussion_id = Ecto.UUID.generate()\n\n      Datagouvfr.Client.Discussions.Mock\n      |> stub(:get, fn _datagouv_id ->\n        [\n          %{\n            \"id\" => discussion_id,\n            \"title\" => \"Test discussion\",\n            \"discussion\" => [\n              %{\n                \"posted_on\" => DateTime.utc_now() |> DateTime.to_iso8601()\n              }\n            ]\n          }\n        ]\n      end)\n\n      # First, check that the alert is visible\n      doc =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(@home_url)\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert length(important_info_rows_without_recent_features(doc)) == 1\n\n      # Now hide the alert\n      conn =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> post(reuser_space_path(conn, :hide_alert, dataset.id), %{\n          \"check_type\" => \"recent_discussions\",\n          \"discussion_id\" => discussion_id\n        })\n\n      assert redirected_to(conn, 302) == @home_url\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Information masquée pendant 7 jours\"\n\n      # Check the database\n      assert [%DB.HiddenReuserAlert{} = hidden_alert] = DB.Repo.all(DB.HiddenReuserAlert)\n      assert hidden_alert.check_type == :recent_discussions\n      assert hidden_alert.resource_id == nil\n      assert hidden_alert.discussion_id == discussion_id\n\n      # Check that the alert is no longer visible\n      doc =\n        conn\n        |> recycle()\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(@home_url)\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert Enum.empty?(important_info_rows_without_recent_features(doc))\n    end\n\n    test \"expired hidden alert reappears\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n      dataset = insert(:dataset)\n      resource = insert(:resource, dataset: dataset, is_available: false)\n      insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset.id, source: :follow_button)\n\n      # Insert an expired hidden alert\n      insert(:hidden_reuser_alert,\n        contact_id: contact.id,\n        dataset_id: dataset.id,\n        check_type: :unavailable_resource,\n        resource_id: resource.id,\n        hidden_until: DateTime.utc_now() |> DateTime.add(-1, :day)\n      )\n\n      Datagouvfr.Client.Discussions.Mock |> stub(:get, fn _datagouv_id -> [] end)\n\n      # Check that the alert is visible since it has expired\n      doc =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n        |> get(@home_url)\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert length(important_info_rows_without_recent_features(doc)) == 1\n    end\n  end\n\n  def index_href_attributes(%Plug.Conn{} = conn) do\n    conn\n    |> get(reuser_space_path(conn, :espace_reutilisateur))\n    |> html_response(200)\n    |> Floki.parse_document!()\n    |> Floki.find(\".action-panel a\")\n    |> Floki.attribute(\"a\", \"href\")\n  end\n\n  defp important_info_rows_without_recent_features(doc) do\n    doc\n    |> Floki.find(~s|[data-name=\"important-information\"] tbody tr|)\n    |> Enum.reject(&recent_features_row?/1)\n  end\n\n  defp recent_features_row?(row), do: row |> Floki.text() |> String.contains?(\"Nouvelles fonctionnalités\")\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/seo_test.exs",
    "content": "defmodule TransportWeb.SeoMetadataTest do\n  @moduledoc \"\"\"\n  test seo metadata\n  \"\"\"\n  use TransportWeb.ConnCase, async: false\n  use TransportWeb.DatabaseCase, cleanup: [:datasets]\n  import DB.Factory\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.DataVisualization.Mock, Transport.DataVisualization.Impl)\n    Mox.stub_with(Datagouvfr.Client.Reuses.Mock, Datagouvfr.Client.Reuses.Dummy)\n    Mox.stub_with(Datagouvfr.Client.Discussions.Mock, Datagouvfr.Client.Discussions.Dummy)\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n\n    insert(:dataset,\n      created_at: DateTime.utc_now(),\n      last_update: DateTime.utc_now(),\n      datagouv_title: \"Horaires et arrêts du réseau IRIGO - format GTFS\",\n      custom_title: \"Horaires Angers\",\n      type: \"public-transit\",\n      slug: \"horaires-et-arrets-du-reseau-irigo-format-gtfs\",\n      resources: [\n        %DB.Resource{\n          last_update: DateTime.utc_now() |> DateTime.add(-6, :hour),\n          last_import: DateTime.utc_now() |> DateTime.add(-1, :hour),\n          url: \"https://link.to/angers.zip\",\n          description: \"blabla on resource\",\n          format: \"GTFS\",\n          title: \"angers.zip\",\n          id: 1234\n        }\n      ],\n      declarative_spatial_areas: [\n        %DB.AdministrativeDivision{\n          type: :epci,\n          type_insee: \"epci\",\n          insee: \"123456\",\n          geom: %Geo.Point{coordinates: {1, 1}, srid: 4326},\n          nom: \"Angers Métropôle\",\n          population: 10\n        }\n      ]\n    )\n\n    Mox.stub_with(Transport.HTTPoison.Mock, HTTPoison)\n\n    :ok\n  end\n\n  test \"GET / \", %{conn: conn} do\n    title = conn |> get(~p\"/\") |> html_response(200) |> title\n    assert title =~ \"Le Point d’Accès National aux données ouvertes de transport\"\n  end\n\n  test \"GET /datasets \", %{conn: conn} do\n    title = conn |> get(dataset_path(conn, :index)) |> html_response(200) |> title\n    assert title =~ \"Le Point d’Accès National aux données ouvertes de transport\"\n  end\n\n  test \"GET /datasets/region/52 \", %{conn: conn} do\n    region = Repo.get_by(Region, nom: \"Pays de la Loire\")\n    title = conn |> get(~p\"/datasets/region/#{region.insee}\") |> html_response(200) |> title\n    assert title =~ \"Jeux de données ouverts de la région Pays de la Loire\"\n  end\n\n  test \"GET /datasets/departement/76 \", %{conn: conn} do\n    insert(:departement, insee: \"76\", nom: \"Seine Maritime\")\n    title = conn |> get(~p\"/datasets/departement/76\") |> html_response(200) |> title\n    assert title =~ \"Département Seine Maritime : Jeux de données ouverts\"\n  end\n\n  test \"GET /datasets/epci/4242 \", %{conn: conn} do\n    insert(:epci, insee: \"4242\", nom: \"Angers Métropôle\")\n    title = conn |> get(~p\"/datasets/epci/4242\") |> html_response(200) |> title\n    assert title =~ \"EPCI Angers Métropôle : Jeux de données ouverts\"\n  end\n\n  test \"GET /datasets/commune/36044 \", %{conn: conn} do\n    title = conn |> get(~p\"/datasets/commune/36044\") |> html_response(200) |> title\n    assert title =~ \"Jeux de données ouverts de la commune de Châteauroux\"\n  end\n\n  test \"GET /datasets/offer/:id\", %{conn: conn} do\n    offer = insert(:offer)\n    title = conn |> get(~p\"/datasets/offer/#{offer.identifiant_offre}\") |> html_response(200) |> title\n    assert title =~ \"Jeux de données ouverts de l&#39;offre de transport #{offer.nom_commercial}\"\n  end\n\n  test \"GET /datasets?format=GTFS\", %{conn: conn} do\n    title = conn |> get(~p\"/datasets?format=GTFS\") |> html_response(200) |> title\n    assert title == \"Jeux de données ouverts du format de données GTFS\"\n  end\n\n  test \"GET /landing-vls\", %{conn: conn} do\n    title = conn |> get(~p\"/landing-vls\") |> html_response(200) |> title\n    assert title =~ \"Jeux de données ouverts de la catégorie Vélos et trottinettes en libre-service\"\n  end\n\n  test \"GET /dataset/:id \", %{conn: conn} do\n    Transport.History.Fetcher.Mock |> expect(:history_resources, fn _, _ -> [] end)\n    title = conn |> get(~p\"/datasets/horaires-et-arrets-du-reseau-irigo-format-gtfs\") |> html_response(200) |> title\n    assert title =~ \"Horaires Angers - Données (GTFS) ouvertes - Angers Métropôle\"\n  end\n\n  test \"GET /resources/:id \", %{conn: conn} do\n    title = conn |> get(~p\"/resources/1234\") |> html_response(200) |> title\n    assert title =~ \"Jeu de données ouvert GTFS - angers.zip pour Horaires Angers - Angers Métropôle\"\n  end\n\n  test \"GET /aoms \", %{conn: conn} do\n    title = conn |> get(~p\"/aoms\") |> html_response(200) |> title\n    assert title =~ \"État de l’ouverture des données de transport en commun pour les AOMs françaises\"\n  end\n\n  test \"GET /validation \", %{conn: conn} do\n    Transport.Schemas.Mock |> expect(:transport_schemas, fn -> %{} end)\n    title = conn |> get(~p\"/validation\") |> html_response(200) |> title\n    assert title =~ \"Évaluation de la qualité d’un fichier ou d’un flux\"\n  end\n\n  test \"GET /espace_reutilisateur\", %{conn: conn} do\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    assert \"Espace réutilisateur\" ==\n             conn\n             |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n             |> get(reuser_space_path(conn, :espace_reutilisateur))\n             |> html_response(200)\n             |> title()\n  end\n\n  defp title(page) do\n    page |> Floki.parse_document!() |> Floki.find(\"title\") |> Floki.text()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/session_controller_test.exs",
    "content": "defmodule TransportWeb.SessionControllerTest do\n  use Oban.Testing, repo: DB.Repo\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n  import Mox\n  import Plug.Test\n  import TransportWeb.SessionController\n\n  doctest TransportWeb.SessionController\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Datagouvfr.Authentication.Mock, Datagouvfr.Authentication.Dummy)\n    Mox.stub_with(Datagouvfr.Client.User.Mock, Datagouvfr.Client.User.Dummy)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"GET /login/callback\", %{conn: conn} do\n    user_params = %{\n      \"first_name\" => first_name = \"John\",\n      \"last_name\" => last_name = \"Doe\",\n      \"id\" => datagouv_user_id = \"user_id_1\",\n      \"email\" => email = \"email@example.fr\",\n      \"organizations\" => [\n        %{\n          \"acronym\" => nil,\n          \"badges\" => [%{\"kind\" => \"certified\"}, %{\"kind\" => \"public-service\"}],\n          \"id\" => organization_id = \"5abca8d588ee386ee6ece479\",\n          \"logo\" => logo = \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-original.png\",\n          \"logo_thumbnail\" =>\n            logo_thumbnail = \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-100.png\",\n          \"name\" => organization_name = \"Point d'Accès National transport.data.gouv.fr\",\n          \"slug\" => organization_slug = \"equipe-transport-data-gouv-fr\"\n        }\n      ]\n    }\n\n    expect(Datagouvfr.Client.User.Mock, :me, fn %Plug.Conn{} -> {:ok, user_params} end)\n\n    assert [] == DB.Repo.all(DB.Contact)\n    conn = conn |> get(session_path(conn, :create, %{\"code\" => \"secret\"}))\n\n    current_user = get_session(conn, :current_user)\n\n    assert %{\n             \"id\" => ^datagouv_user_id,\n             \"email\" => ^email,\n             \"first_name\" => ^first_name,\n             \"last_name\" => ^last_name,\n             \"is_admin\" => true,\n             # No active dataset for this users' organizations\n             \"is_producer\" => false\n           } = current_user\n\n    refute Map.has_key?(current_user, \"avatar\")\n    refute Map.has_key?(current_user, \"organizations\")\n\n    assert redirected_to(conn, 302) == \"/\"\n\n    # Token has been saved to `datagouv_token` key.\n    assert conn.assigns[:datagouv_token] == Datagouvfr.Authentication.Dummy.get_token!(%{}) |> Map.fetch!(:token)\n\n    # A `DB.Contact` has been created for this user\n    assert [\n             %DB.Contact{\n               first_name: ^first_name,\n               last_name: ^last_name,\n               email: ^email,\n               organization: ^organization_name,\n               datagouv_user_id: ^datagouv_user_id,\n               last_login_at: last_login_at,\n               creation_source: :datagouv_oauth_login\n             }\n           ] = DB.Repo.all(DB.Contact)\n\n    assert [\n             %DB.Organization{\n               id: ^organization_id,\n               slug: ^organization_slug,\n               name: ^organization_name,\n               logo_thumbnail: ^logo_thumbnail,\n               logo: ^logo,\n               acronym: nil,\n               badges: [%{\"kind\" => \"certified\"}, %{\"kind\" => \"public-service\"}]\n             }\n           ] = DB.Repo.all(DB.Organization)\n\n    assert [\n             %DB.Organization{id: ^organization_id}\n           ] = DB.Contact |> DB.Repo.one!() |> DB.Repo.preload(:organizations) |> Map.fetch!(:organizations)\n\n    assert_in_delta last_login_at |> DateTime.to_unix(), DateTime.utc_now() |> DateTime.to_unix(), 1\n  end\n\n  test \"save_current_user\", %{conn: conn} do\n    pan_org = %{\"slug\" => \"equipe-transport-data-gouv-fr\", \"name\" => \"PAN\", \"id\" => org_id = Ecto.UUID.generate()}\n\n    assert TransportWeb.Session.admin?(%{\"organizations\" => [pan_org]})\n    refute TransportWeb.Session.producer?(%{\"organizations\" => [pan_org]})\n    insert(:dataset, organization_id: org_id)\n    # You're a producer if you're a member of an org with an active dataset\n    assert TransportWeb.Session.producer?(%{\"organizations\" => [pan_org]})\n\n    user_params = %{\"foo\" => \"bar\", \"organizations\" => [pan_org]}\n\n    assert %{\"foo\" => \"bar\", \"is_admin\" => true, \"is_producer\" => true} ==\n             conn |> init_test_session(%{}) |> save_current_user(user_params) |> get_session(:current_user)\n  end\n\n  test \"GET /login/callback and redirection to /datasets\", %{conn: conn} do\n    conn =\n      conn\n      |> init_test_session(redirect_path: \"/datasets\")\n      |> get(session_path(conn, :create, %{\"code\" => \"secret\"}))\n\n    assert redirected_to(conn, 302) == \"/datasets\"\n  end\n\n  describe \"find_or_create_contact\" do\n    test \"when contact exists, updates attributes coming from data.gouv.fr and the last_login_at\" do\n      contact = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n      assert contact.last_login_at == nil\n\n      find_or_create_contact(%{\n        \"id\" => datagouv_user_id,\n        \"first_name\" => contact.first_name,\n        \"last_name\" => contact.last_name,\n        \"email\" => new_email = \"#{Ecto.UUID.generate()}@example.fr\",\n        \"organizations\" => []\n      })\n\n      contact = DB.Repo.reload!(contact)\n\n      assert contact.email == new_email\n      assert_in_delta contact.last_login_at |> DateTime.to_unix(), DateTime.utc_now() |> DateTime.to_unix(), 1\n\n      assert all_enqueued() |> Enum.empty?()\n    end\n\n    test \"when contact exists with a mailing_list_title, don't update (first|last)_name\" do\n      contact =\n        insert_contact(%{\n          first_name: nil,\n          last_name: nil,\n          mailing_list_title: mailing_list_title = \"Équipe data\",\n          datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()\n        })\n\n      find_or_create_contact(%{\n        \"id\" => datagouv_user_id,\n        \"first_name\" => \"Équipe data\",\n        \"last_name\" => \"CD42\",\n        \"email\" => contact.email,\n        \"organizations\" => []\n      })\n\n      contact = DB.Repo.reload!(contact)\n\n      assert %DB.Contact{first_name: nil, last_name: nil, mailing_list_title: ^mailing_list_title} = contact\n      assert_in_delta contact.last_login_at |> DateTime.to_unix(), DateTime.utc_now() |> DateTime.to_unix(), 1\n\n      assert all_enqueued() |> Enum.empty?()\n    end\n\n    test \"can find a contact using its email address and sets the datagouv_user_id\" do\n      %DB.Contact{id: contact_id, datagouv_user_id: nil} = contact = insert_contact()\n\n      find_or_create_contact(%{\n        \"id\" => datagouv_user_id = Ecto.UUID.generate(),\n        \"first_name\" => new_first_name = \"Oka\",\n        \"last_name\" => last_name = contact.last_name,\n        # We should perform a lowercase comparison for the email address\n        \"email\" => String.upcase(contact.email),\n        \"organizations\" => []\n      })\n\n      contact = DB.Repo.reload!(contact)\n\n      assert %DB.Contact{first_name: ^new_first_name, last_name: ^last_name, datagouv_user_id: ^datagouv_user_id} =\n               contact\n\n      assert_in_delta contact.last_login_at |> DateTime.to_unix(), DateTime.utc_now() |> DateTime.to_unix(), 1\n\n      assert [\n               %Oban.Job{\n                 worker: \"Transport.Jobs.CreateTokensJob\",\n                 args: %{\"contact_id\" => ^contact_id, \"action\" => \"create_token_for_contact\"},\n                 state: \"scheduled\"\n               },\n               %Oban.Job{\n                 worker: \"Transport.Jobs.PromoteProducerSpaceJob\",\n                 args: %{\"contact_id\" => ^contact_id},\n                 state: \"scheduled\"\n               }\n             ] = all_enqueued()\n    end\n\n    test \"creates a contact when it doesn't exist\" do\n      assert DB.Contact |> DB.Repo.all() |> Enum.empty?()\n\n      find_or_create_contact(%{\n        \"id\" => datagouv_user_id = Ecto.UUID.generate(),\n        \"first_name\" => first_name = \"John\",\n        \"last_name\" => last_name = \"Doe\",\n        \"email\" => email = \"email@example.fr\",\n        \"organizations\" => [\n          %{\n            \"acronym\" => nil,\n            \"badges\" => [],\n            \"id\" => org_id = \"5abca8d588ee386ee6ece479\",\n            \"logo\" => \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-original.png\",\n            \"logo_thumbnail\" => \"https://static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-100.png\",\n            \"name\" => org_name = \"Corp Inc\",\n            \"slug\" => org_slug = Ecto.UUID.generate()\n          }\n        ]\n      })\n\n      assert [\n               %DB.Contact{\n                 id: contact_id,\n                 first_name: ^first_name,\n                 last_name: ^last_name,\n                 datagouv_user_id: ^datagouv_user_id,\n                 email: ^email,\n                 organization: ^org_name,\n                 last_login_at: last_login_at,\n                 creation_source: :datagouv_oauth_login\n               }\n             ] = DB.Contact |> DB.Repo.all()\n\n      assert [\n               %DB.Organization{id: ^org_id, name: ^org_name, slug: ^org_slug}\n             ] = DB.Organization |> DB.Repo.all()\n\n      assert_in_delta last_login_at |> DateTime.to_unix(), DateTime.utc_now() |> DateTime.to_unix(), 1\n\n      assert [\n               %Oban.Job{\n                 worker: \"Transport.Jobs.CreateTokensJob\",\n                 args: %{\"contact_id\" => ^contact_id, \"action\" => \"create_token_for_contact\"},\n                 state: \"scheduled\"\n               },\n               %Oban.Job{\n                 worker: \"Transport.Jobs.PromoteProducerSpaceJob\",\n                 args: %{\"contact_id\" => ^contact_id},\n                 state: \"scheduled\"\n               }\n             ] = all_enqueued()\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/siri_querier_test.exs",
    "content": "defmodule TransportWeb.SIRIQuerierLiveTest do\n  use TransportWeb.ConnCase, async: true\n  use Oban.Testing, repo: DB.Repo\n  import Mox\n  import Phoenix.LiveViewTest\n  alias TransportWeb.Live.SIRIQuerierLive\n\n  setup do\n    # Ensure the query generated properly marshalls the input and propagate them\n    Mox.stub_with(Transport.SIRIQueryGenerator.Mock, Transport.SIRIQueryGenerator)\n\n    :ok\n  end\n\n  setup :verify_on_exit!\n\n  test \"renders form\", %{conn: conn} do\n    conn |> get(live_path(conn, SIRIQuerierLive)) |> html_response(200)\n  end\n\n  test \"uses query params to set input values when provided\", %{conn: conn} do\n    {:ok, view, _html} =\n      conn\n      |> get(\n        live_path(conn, SIRIQuerierLive,\n          endpoint_url: endpoint_url = Ecto.UUID.generate(),\n          requestor_ref: requestor_ref = Ecto.UUID.generate(),\n          query_template: query_template = \"LinesDiscovery\"\n        )\n      )\n      |> live()\n\n    assert view |> element(~s{[name=\"config[endpoint_url]\"]}) |> render() =~ ~s(value=\"#{endpoint_url}\")\n    assert view |> element(~s{[name=\"config[requestor_ref]\"]}) |> render() =~ ~s(value=\"#{requestor_ref}\")\n    assert view |> element(~s{[name=\"config[query_template]\"]}) |> render() =~ ~s(value=\"#{query_template}\")\n  end\n\n  test \"clicking on generate and then execute\", %{conn: conn} do\n    {:ok, view, _html} = conn |> get(live_path(conn, SIRIQuerierLive)) |> live()\n\n    view\n    |> render_change(\"change_form\", %{\n      \"config\" => %{\n        \"endpoint_url\" => endpoint_url = \"https://example.com\",\n        \"requestor_ref\" => requestor_ref = Ecto.UUID.generate(),\n        \"query_template\" => query_template = \"CheckStatus\"\n      }\n    })\n\n    assert_patched(\n      view,\n      live_path(conn, SIRIQuerierLive,\n        endpoint_url: endpoint_url,\n        requestor_ref: requestor_ref,\n        query_template: query_template\n      )\n    )\n\n    # Form has the \"Generate\" button but not the \"Execute\" one\n    assert view |> has_element?(~s{button[phx-click=\"generate_query\"]})\n    refute view |> has_element?(~s{button[phx-click=\"execute_query\"]})\n\n    # Clicking on \"Generate\" makes the \"Execute\" button show up\n    view |> element(~s{button[phx-click=\"generate_query\"]}) |> render_click()\n    assert view |> has_element?(~s{button[phx-click=\"execute_query\"]})\n\n    # SIRI query is displayed\n    assert view |> has_element?(\"#query_code_wrapper\")\n    refute view |> has_element?(\"#response_code_wrapper\")\n\n    assert view |> element(\"#siri_query_wrapper\") |> render() =~\n             \"<siri:RequestorRef>#{requestor_ref}</siri:RequestorRef>\"\n             |> Phoenix.HTML.html_escape()\n             |> Phoenix.HTML.safe_to_string()\n\n    assert view |> element(\"#siri_query_wrapper\") |> render() =~ \"sw:CheckStatus\"\n\n    # Clicking on execute\n    Transport.HTTPoison.Mock\n    |> expect(:post, fn ^endpoint_url, _body, [{\"content-type\", \"text/xml\"}], [recv_timeout: _] ->\n      {:ok,\n       %HTTPoison.Response{\n         status_code: 200,\n         body: \"\"\"\n         <?xml version=\"1.0\" encoding=\"utf-8\"?>\n         <S:Envelope xmlns:S=\"http://schemas.xmlsoap.org/soap/envelope/\">\n           <S:Body>\n             <sw:CheckStatusResponse xmlns:sw=\"http://wsdl.siri.org.uk\" xmlns:siri=\"http://www.siri.org.uk/siri\">\n               <CheckStatusAnswerInfo>\n                 <siri:ResponseTimestamp>2022-10-24T14:05:22.471+02:00</siri:ResponseTimestamp>\n                 <siri:ProducerRef>Ara</siri:ProducerRef>\n                 <siri:ResponseMessageIdentifier>47ddcbb9-2b28-4c53-8f32-a8599a667d9e</siri:ResponseMessageIdentifier>\n                 <siri:RequestMessageRef>Test::Message::d55c816c-0514-4f28-84ff-f3ec9a13e042</siri:RequestMessageRef>\n               </CheckStatusAnswerInfo>\n               <Answer>\n                 <siri:Status>true</siri:Status>\n                 <siri:ServiceStartedTime>2022-10-24T04:00:00.543+02:00</siri:ServiceStartedTime>\n               </Answer>\n               <AnswerExtension/>\n             </sw:CheckStatusResponse>\n           </S:Body>\n         </S:Envelope>\n         \"\"\",\n         headers: [{\"Content-Type\", \"text/xml\"}]\n       }}\n    end)\n\n    view |> element(~s{button[phx-click=\"execute_query\"]}) |> render_click()\n    assert view |> has_element?(\"#response_code_wrapper\")\n    assert view |> render() =~ \"HTTP status 200\"\n    assert view |> render() =~ \"Content-Type: text/xml\"\n    assert view |> element(\"#siri_response_wrapper\") |> render() =~ \"CheckStatusAnswerInfo\"\n\n    # With a server error\n    Transport.HTTPoison.Mock\n    |> expect(:post, fn ^endpoint_url, _body, [{\"content-type\", \"text/xml\"}], [recv_timeout: _] ->\n      {:error, %HTTPoison.Error{reason: \"Got an error\"}}\n    end)\n\n    view |> element(~s{button[phx-click=\"execute_query\"]}) |> render_click()\n    refute view |> has_element?(\"#response_code_wrapper\")\n    assert view |> has_element?(\"#siri_response_error\")\n    assert view |> element(\"#siri_response_error\") |> render() =~ \"Got an error\"\n\n    # re-encodes a latin1 body to UTF-8\n    # Express `£éduff` in latin1 as bytes first\n    latin1 = <<163, 233, 100, 117, 102, 102>>\n    expected_utf8_conversion = \"£éduff\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:post, fn ^endpoint_url, _body, [{\"content-type\", \"text/xml\"}], [recv_timeout: _] ->\n      {:ok,\n       %HTTPoison.Response{\n         body: latin1,\n         headers: [{\"Content-Type\", \"text/plain;charset=ISO-8859-1\"}],\n         status_code: 200\n       }}\n    end)\n\n    view |> element(~s{button[phx-click=\"execute_query\"]}) |> render_click()\n\n    assert view |> element(\"#siri_response_wrapper\") |> render() =~\n             ~s(<input type=\"hidden\" value=\"#{expected_utf8_conversion}\" data-code=\"response_code_id\")\n\n    refute view |> has_element?(\"#siri_response_error\")\n  end\n\n  test \"choosing GetEstimatedTimetable allows to input line references\", %{conn: conn} do\n    {:ok, view, _html} =\n      conn\n      |> get(live_path(conn, SIRIQuerierLive))\n      |> live()\n\n    # By default, we must be on CheckStatus\n    assert view\n           |> element(\"select option:checked\")\n           |> render() =~ \"CheckStatus\"\n\n    # And the user cannot input line references\n    refute view |> has_element?(\"#siri_querier_line_refs\")\n\n    # Select GetEstimatedTimetable\n    assert view\n           |> element(\"form\")\n           |> render_change(%{\n             config: %{\n               \"requestor_ref\" => \"test-ref\",\n               \"query_template\" => \"GetEstimatedTimetable\"\n             }\n           })\n\n    # Should be selected\n    assert view\n           |> element(\"select option:checked\")\n           |> render() =~ \"GetEstimatedTimetable\"\n\n    # The user should be offered a way to type line references\n    assert view |> has_element?(\"#siri_querier_line_refs\")\n\n    # Simulate user typing in\n    view\n    |> form(\"#siri_querier\")\n    |> render_change(%{config: %{\"line_refs\" => \" VILX, 101\"}})\n\n    xml_query = \"<payload></payload>\"\n\n    Transport.SIRIQueryGenerator.Mock\n    |> expect(:generate_query, fn params ->\n      # comma-separated split, trimmed\n      assert params[:line_refs] == [\"VILX\", \"101\"]\n      assert params[:template] == \"GetEstimatedTimetable\"\n      assert params[:requestor_ref] == \"test-ref\"\n      assert params[:message_id] =~ \"Test::Message\"\n\n      xml_query\n    end)\n\n    # Clicking on \"Generate\" makes the \"Execute\" button show up\n    view |> element(~s{button[phx-click=\"generate_query\"]}) |> render_click()\n\n    # The payload should come back\n    assert view\n           |> element(\"#siri_query_wrapper\")\n           |> render()\n           |> Floki.parse_document!()\n           |> Floki.attribute(\"value\") == [xml_query]\n\n    assert_patched(\n      view,\n      live_path(conn, SIRIQuerierLive,\n        requestor_ref: \"test-ref\",\n        query_template: \"GetEstimatedTimetable\",\n        line_refs: \" VILX, 101\"\n      )\n    )\n  end\n\n  test \"choosing GetStopMonitoring allows to input stop reference\", %{conn: conn} do\n    {:ok, view, _html} =\n      conn\n      |> get(live_path(conn, SIRIQuerierLive))\n      |> live()\n\n    # And the user cannot input stop reference\n    refute view |> has_element?(\"#siri_querier_stop_ref\")\n\n    # Select GetStopMonitoring\n    assert view\n           |> element(\"form\")\n           |> render_change(%{\n             config: %{\n               \"requestor_ref\" => \"test-ref\",\n               \"query_template\" => \"GetStopMonitoring\"\n             }\n           })\n\n    # Should be selected\n    assert view\n           |> element(\"select option:checked\")\n           |> render() =~ \"GetStopMonitoring\"\n\n    # The user should be offered a way to type stop reference\n    assert view |> has_element?(\"#siri_querier_stop_ref\")\n\n    # Simulate user typing in\n    view\n    |> form(\"#siri_querier\")\n    |> render_change(%{config: %{\"stop_ref\" => \" Test:StopPoint \"}})\n\n    xml_query = \"<payload></payload>\"\n\n    Transport.SIRIQueryGenerator.Mock\n    |> expect(:generate_query, fn params ->\n      # trimmed\n      assert params[:stop_ref] == \"Test:StopPoint\"\n      assert params[:template] == \"GetStopMonitoring\"\n      assert params[:requestor_ref] == \"test-ref\"\n      assert params[:message_id] =~ \"Test::Message\"\n\n      xml_query\n    end)\n\n    # Clicking on \"Generate\" makes the \"Execute\" button show up\n    view |> element(~s{button[phx-click=\"generate_query\"]}) |> render_click()\n\n    # The payload should come back\n    assert view\n           |> element(\"#siri_query_wrapper\")\n           |> render()\n           |> Floki.parse_document!()\n           |> Floki.attribute(\"value\") == [xml_query]\n\n    assert_patched(\n      view,\n      live_path(conn, SIRIQuerierLive,\n        requestor_ref: \"test-ref\",\n        query_template: \"GetStopMonitoring\",\n        stop_ref: \" Test:StopPoint \"\n      )\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/controllers/validation_controller_test.exs",
    "content": "defmodule TransportWeb.ValidationControllerTest do\n  use TransportWeb.ConnCase, async: false\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Ecto.Query\n  import Mox\n  import NeTExValidationReportHelpers\n  import Phoenix.LiveViewTest\n  import TransportWeb.LiveViewTestHelpers\n  import Transport.TmpFile\n  alias Transport.Test.S3TestUtils\n  alias Transport.Validators.NeTEx.ResultsAdapter\n  alias TransportWeb.Live.OnDemandValidationSelectLive\n\n  setup :verify_on_exit!\n  @gtfs_path \"#{__DIR__}/../../fixture/files/gtfs.zip\"\n  @netex_path \"#{__DIR__}/../../fixture/files/netex.zip\"\n  @gtfs_rt_report_path \"#{__DIR__}/../../fixture/files/gtfs-rt-validator-errors.json\"\n  @service_alerts_file \"#{__DIR__}/../../fixture/files/bibus-brest-gtfs-rt-alerts.pb\"\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"GET /validation \" do\n    test \"renders form\", %{conn: conn} do\n      Transport.Schemas.Mock |> expect(:transport_schemas, fn -> %{} end)\n      conn |> get(live_path(conn, OnDemandValidationSelectLive)) |> html_response(200)\n    end\n\n    test \"updates inputs\", %{conn: conn} do\n      Transport.Schemas.Mock |> expect(:transport_schemas, 2, fn -> %{} end)\n      {:ok, view, _html} = conn |> get(live_path(conn, OnDemandValidationSelectLive)) |> live()\n\n      # Select \"vehicles sharing\" > \"GBFS\"\n      view |> element(~s|[phx-value-tile=\"vehicles-sharing\"]|) |> render_click()\n      assert_patched(view, live_path(conn, OnDemandValidationSelectLive, selected_tile: \"vehicles-sharing\"))\n      refute view |> has_element?(\"input[name='upload[file]']\")\n      refute view |> has_element?(\"input[name='upload[url]']\")\n\n      assert [\n               {\"h4\", [], [\"Transport public collectif\"]},\n               {\"h4\", [], [\"Véhicules en libre-service\"]},\n               {\"h4\", [], [\"Mobilités routières et vélo\"]},\n               {\"h4\", [], [\"GBFS\"]},\n               {\"h4\", [], [\"NeTEx\"]}\n             ] == view |> render() |> Floki.parse_document!() |> Floki.find(\".tile__text h4\")\n\n      view |> element(~s|[phx-value-tile=\"gbfs\"]|) |> render_click()\n\n      assert_patched_any_params_order(\n        view,\n        live_path(conn, OnDemandValidationSelectLive,\n          type: \"gbfs\",\n          selected_subtile: \"gbfs\",\n          selected_tile: \"vehicles-sharing\"\n        )\n      )\n\n      assert view |> has_element?(\"input[name='upload[url]']\")\n      refute view |> has_element?(\"input[name='upload[file]']\")\n\n      # Select \"public-transit\" > \"GTFS\"\n      view |> element(~s|[phx-value-tile=\"public-transit\"]|) |> render_click()\n      assert_patched(view, live_path(conn, OnDemandValidationSelectLive, selected_tile: \"public-transit\"))\n      refute view |> has_element?(\"input[name='upload[file]']\")\n      refute view |> has_element?(\"input[name='upload[url]']\")\n\n      assert [\n               {\"h4\", [], [\"Transport public collectif\"]},\n               {\"h4\", [], [\"Véhicules en libre-service\"]},\n               {\"h4\", [], [\"Mobilités routières et vélo\"]},\n               {\"h4\", [], [\"GTFS\"]},\n               {\"h4\", [], [\"GTFS-Flex\"]},\n               {\"h4\", [], [\"GTFS-RT\"]},\n               {\"h4\", [], [\"NeTEx\"]}\n             ] == view |> render() |> Floki.parse_document!() |> Floki.find(\".tile__text h4\")\n\n      view |> element(~s|[phx-value-tile=\"gtfs\"]|) |> render_click()\n\n      assert_patched_any_params_order(\n        view,\n        live_path(conn, OnDemandValidationSelectLive,\n          type: \"gtfs\",\n          selected_subtile: \"gtfs\",\n          selected_tile: \"public-transit\"\n        )\n      )\n\n      assert view |> has_element?(\"input[name='upload[file]']\")\n      refute view |> has_element?(\"input[name='upload[url]']\")\n\n      # Select \"NeTEx\"\n      view |> element(~s|[phx-value-tile=\"netex\"]|) |> render_click()\n\n      assert_patched_any_params_order(\n        view,\n        live_path(conn, OnDemandValidationSelectLive,\n          type: \"netex\",\n          selected_subtile: \"netex\",\n          selected_tile: \"public-transit\"\n        )\n      )\n\n      refute view |> has_element?(\"input[name='upload[url]']\")\n      assert view |> has_element?(\"input[name='upload[file]']\")\n\n      # Select \"GTFS-RT\"\n      view |> element(~s|[phx-value-tile=\"gtfs-rt\"]|) |> render_click()\n\n      assert_patched_any_params_order(\n        view,\n        live_path(conn, OnDemandValidationSelectLive,\n          type: \"gtfs-rt\",\n          selected_subtile: \"gtfs-rt\",\n          selected_tile: \"public-transit\"\n        )\n      )\n\n      refute view |> has_element?(\"input[name='upload[file]']\")\n      assert view |> has_element?(\"input[name='upload[url]']\")\n      assert view |> has_element?(\"input[name='upload[feed_url]']\")\n    end\n\n    test \"takes into account query params\", %{conn: conn} do\n      Transport.Schemas.Mock |> expect(:transport_schemas, 2, fn -> %{} end)\n\n      {:ok, view, _html} =\n        conn\n        |> get(\n          live_path(conn, OnDemandValidationSelectLive,\n            type: \"gbfs\",\n            selected_subtile: \"gbfs\",\n            selected_tile: \"vehicles-sharing\"\n          )\n        )\n        |> live()\n\n      refute view |> has_element?(\"input[name='upload[file]']\")\n      assert view |> has_element?(\"input[name='upload[url]']\")\n    end\n  end\n\n  describe \"POST validate\" do\n    test \"with a GBFS\", %{conn: conn} do\n      conn =\n        conn\n        |> post(validation_path(conn, :validate), %{\n          \"upload\" => %{\"url\" => url = \"https://example.com/gbfs.json\", \"type\" => \"gbfs\"}\n        })\n\n      assert redirected_to(conn, 302) == gbfs_analyzer_path(conn, :index, url: url)\n\n      validator_name = Transport.Validators.GBFSValidator.validator_name()\n\n      assert %{\n               validator: ^validator_name,\n               validated_data_name: ^url,\n               validation_timestamp: validation_timestamp\n             } = DB.Repo.one!(DB.MultiValidation)\n\n      refute is_nil(validation_timestamp)\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :on_demand_validation,\n                 contact_id: nil,\n                 metadata: %{\"type\" => \"gbfs\"}\n               }\n             ] = DB.FeatureUsage |> DB.Repo.all()\n    end\n\n    test \"with a GTFS\", %{conn: conn} do\n      Transport.Schemas.Mock |> expect(:transport_schemas, fn -> %{} end)\n      S3TestUtils.s3_mock_stream_file(start_path: \"\", bucket: \"transport-data-gouv-fr-on-demand-validation-test\")\n      assert 0 == count_validations()\n\n      conn =\n        conn\n        |> post(validation_path(conn, :validate), %{\n          \"upload\" => %{\"file\" => %Plug.Upload{path: @gtfs_path}, \"type\" => \"gtfs\"}\n        })\n\n      assert 1 == count_validations()\n\n      assert %{\n               oban_args: %{\n                 \"filename\" => filename,\n                 \"permanent_url\" => permanent_url,\n                 \"state\" => \"waiting\",\n                 \"type\" => \"gtfs\",\n                 \"secret_url_token\" => token\n               },\n               id: validation_id\n             } = multi_validation = DB.MultiValidation |> DB.Repo.one!() |> DB.Repo.preload(:metadata)\n\n      assert [\n               %Oban.Job{\n                 args: %{\n                   \"id\" => ^validation_id,\n                   \"state\" => \"waiting\",\n                   \"filename\" => ^filename,\n                   \"permanent_url\" => ^permanent_url,\n                   \"type\" => \"gtfs\"\n                 }\n               }\n             ] = all_enqueued(worker: Transport.Jobs.OnDemandValidationJob, queue: :on_demand_validation)\n\n      assert permanent_url == Transport.S3.permanent_url(:on_demand_validation, filename)\n      assert redirected_to(conn, 302) == validation_path(conn, :show, validation_id, token: token)\n\n      # Validation is completed, ensure that the validation's result page can be displayed\n      multi_validation\n      |> Ecto.Changeset.change(%{\n        oban_args: %{multi_validation.oban_args | \"state\" => \"completed\"},\n        result: %{\n          \"NullDuration\" => [%{\"severity\" => \"Information\"}],\n          \"MissingCoordinates\" => [%{\"severity\" => \"Warning\"}]\n        },\n        max_error: \"Warning\",\n        data_vis: %{},\n        metadata: %DB.ResourceMetadata{modes: [\"bus\", \"ferry\"], metadata: %{\"networks\" => [\"SuperRéseau\"]}}\n      })\n      |> DB.Repo.update!()\n\n      Transport.DataVisualization.Mock |> expect(:has_features, fn _ -> false end)\n\n      conn2 = conn |> get(validation_path(conn, :show, validation_id, token: token))\n      assert conn2 |> html_response(200) =~ \"bus, ferry\"\n      assert conn2 |> html_response(200) =~ \"SuperRéseau\"\n      assert conn2 |> html_response(200) =~ \"1 avertissement\"\n      assert conn2 |> html_response(200) =~ \"1 information\"\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :on_demand_validation,\n                 contact_id: nil,\n                 metadata: %{\"type\" => \"gtfs\"}\n               }\n             ] = DB.FeatureUsage |> DB.Repo.all()\n    end\n\n    test \"with an integrated IRVE Statique valid file\", %{conn: conn} do\n      csv_content = [DB.Factory.IRVE.generate_row()] |> DB.Factory.IRVE.to_csv_body()\n\n      with_tmp_file(csv_content, fn path ->\n        conn =\n          conn\n          |> post(validation_path(conn, :validate), %{\n            \"upload\" => %{\n              \"file\" => %Plug.Upload{path: path, filename: \"irve.csv\"},\n              \"type\" => \"etalab/schema-irve-statique\"\n            }\n          })\n\n        response = html_response(conn, 200)\n        assert response =~ \"icon--validation\\\">✅</span>\"\n        assert response =~ \"validata.fr/table-schema\"\n\n        assert 0 == count_validations()\n\n        assert [\n                 %DB.FeatureUsage{\n                   feature: :on_demand_validation,\n                   contact_id: nil,\n                   metadata: %{\"type\" => \"irve-statique\"}\n                 }\n               ] = DB.FeatureUsage |> DB.Repo.all()\n      end)\n    end\n\n    test \"with an integrated IRVE Statique invalid file\", %{conn: conn} do\n      csv_content =\n        [DB.Factory.IRVE.generate_row(%{\"puissance_nominale\" => \"not-a-number\"})]\n        |> DB.Factory.IRVE.to_csv_body()\n\n      with_tmp_file(csv_content, fn path ->\n        conn =\n          conn\n          |> post(validation_path(conn, :validate), %{\n            \"upload\" => %{\n              \"file\" => %Plug.Upload{path: path, filename: \"irve.csv\"},\n              \"type\" => \"etalab/schema-irve-statique\"\n            }\n          })\n\n        response = html_response(conn, 200)\n        assert response =~ \"icon--validation\\\">❌</span>\"\n        assert response =~ \"puissance_nominale\"\n\n        assert 0 == count_validations()\n      end)\n    end\n\n    test \"with an oversized IRVE Statique file\", %{conn: conn} do\n      oversized_content = String.duplicate(\"x\", 50 * 1024 * 1024 + 1)\n\n      with_tmp_file(oversized_content, fn path ->\n        conn =\n          conn\n          |> post(validation_path(conn, :validate), %{\n            \"upload\" => %{\n              \"file\" => %Plug.Upload{path: path, filename: \"irve.csv\"},\n              \"type\" => \"etalab/schema-irve-statique\"\n            }\n          })\n\n        assert redirected_to(conn, 302) ==\n                 live_path(conn, OnDemandValidationSelectLive, type: \"etalab/schema-irve-statique\")\n\n        assert Phoenix.Flash.get(conn.assigns.flash, :error) =~ \"trop gros\"\n        assert 0 == count_validations()\n      end)\n    end\n\n    test \"with a GTFS-Flex\", %{conn: conn} do\n      Transport.Schemas.Mock |> expect(:transport_schemas, fn -> %{} end)\n      S3TestUtils.s3_mock_stream_file(start_path: \"\", bucket: \"transport-data-gouv-fr-on-demand-validation-test\")\n      assert 0 == count_validations()\n\n      conn =\n        conn\n        |> post(validation_path(conn, :validate), %{\n          \"upload\" => %{\"file\" => %Plug.Upload{path: @gtfs_path}, \"type\" => \"gtfs-flex\"}\n        })\n\n      assert 1 == count_validations()\n\n      assert %{\n               oban_args: %{\n                 \"filename\" => filename,\n                 \"permanent_url\" => permanent_url,\n                 \"state\" => \"waiting\",\n                 \"type\" => \"gtfs-flex\",\n                 \"secret_url_token\" => token\n               },\n               id: validation_id\n             } = multi_validation = DB.MultiValidation |> DB.Repo.one!() |> DB.Repo.preload(:metadata)\n\n      assert [\n               %Oban.Job{\n                 args: %{\n                   \"id\" => ^validation_id,\n                   \"state\" => \"waiting\",\n                   \"filename\" => ^filename,\n                   \"permanent_url\" => ^permanent_url,\n                   \"type\" => \"gtfs-flex\"\n                 }\n               }\n             ] = all_enqueued(worker: Transport.Jobs.OnDemandValidationJob, queue: :on_demand_validation)\n\n      assert permanent_url == Transport.S3.permanent_url(:on_demand_validation, filename)\n      assert redirected_to(conn, 302) == validation_path(conn, :show, validation_id, token: token)\n\n      # Validation is completed, ensure that the validation's result page can be displayed\n      multi_validation\n      |> Ecto.Changeset.change(%{\n        oban_args: %{multi_validation.oban_args | \"state\" => \"completed\"},\n        digest: %{\n          \"max_severity\" => %{\"max_level\" => \"WARNING\", \"worst_occurrences\" => 1},\n          \"stats\" => %{\"WARNING\" => 1},\n          \"summary\" => [%{\"code\" => \"unusable_trip\", \"severity\" => \"WARNING\", \"totalNotices\" => 2}]\n        },\n        result: %{\n          \"notices\" => [\n            %{\n              \"code\" => \"unusable_trip\",\n              \"sampleNotices\" => [%{\"foo\" => \"bar\"}],\n              \"severity\" => \"WARNING\",\n              \"totalNotices\" => 2\n            }\n          ],\n          \"summary\" => %{\n            \"agencies\" => [%{\"name\" => \"Agency\", \"url\" => \"https://example.com/agency\"}],\n            \"counts\" => %{\"Stops\" => 1337},\n            \"feedInfo\" => %{\"feedServiceWindowEnd\" => \"2025-02-01\", \"feedServiceWindowStart\" => \"2025-01-01\"},\n            \"gtfsFeatures\" => [\"Continuous Stops\", \"Bike Allowed\"],\n            \"validatorVersion\" => \"4.2.0\"\n          }\n        },\n        max_error: \"WARNING\",\n        metadata: %DB.ResourceMetadata{\n          features: [\"Continuous Stops\", \"Bike Allowed\"],\n          metadata: %{\n            \"agencies\" => [%{\"name\" => \"Agency\", \"url\" => \"https://example.com/agency\"}],\n            \"counts\" => %{\"Stops\" => 1337},\n            \"end_date\" => \"2025-02-01\",\n            \"feedInfo\" => %{\"feedServiceWindowEnd\" => \"2025-02-01\", \"feedServiceWindowStart\" => \"2025-01-01\"},\n            \"start_date\" => \"2025-01-01\"\n          }\n        }\n      })\n      |> DB.Repo.update!()\n\n      conn = conn |> get(validation_path(conn, :show, validation_id, token: token))\n      assert conn |> html_response(200) =~ \"unusable_trip\"\n      assert conn |> html_response(200) =~ \"1 avertissement\"\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :on_demand_validation,\n                 contact_id: nil,\n                 metadata: %{\"type\" => \"gtfs-flex\"}\n               }\n             ] = DB.FeatureUsage |> DB.Repo.all()\n    end\n\n    test \"with a NeTEx - 0.1.0\", %{conn: conn} do\n      {conn, multi_validation, token} = setup_netex_validation(conn)\n\n      result = %{\n        \"xsd-1871\" => [\n          %{\n            \"code\" => \"xsd-1871\",\n            \"criticity\" => \"error\",\n            \"message\" =>\n              \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\"\n          }\n        ],\n        \"uic-operating-period\" => [\n          %{\n            \"code\" => \"uic-operating-period\",\n            \"message\" => \"Resource 23504000009 hasn't expected class but Netex::OperatingPeriod\",\n            \"criticity\" => \"warning\"\n          }\n        ],\n        \"valid-day-bits\" => [\n          %{\n            \"code\" => \"valid-day-bits\",\n            \"message\" => \"Mandatory attribute valid_day_bits not found\",\n            \"criticity\" => \"warning\"\n          }\n        ],\n        \"frame-arret-resources\" => [\n          %{\n            \"code\" => \"frame-arret-resources\",\n            \"message\" => \"Tag frame_id doesn't match ''\",\n            \"criticity\" => \"warning\"\n          }\n        ]\n      }\n\n      results_adapter = ResultsAdapter.resolve(\"0.1.0\")\n\n      mark_netex_validation_completed(\n        multi_validation,\n        %{\n          validator_version: \"0.1.0\",\n          result: nil,\n          digest: results_adapter.digest(result),\n          binary_result: results_adapter.to_binary_result(result),\n          max_error: \"warning\"\n        }\n      )\n\n      conn2 = conn |> get(validation_path(conn, :show, multi_validation.id, token: token))\n      assert conn2 |> html_response(200) =~ \"3 avertissements\"\n      assert conn2 |> html_response(200) =~ \"1 erreur\"\n    end\n\n    test \"with a NeTEx - 0.2.0\", %{conn: conn} do\n      render_netex_validation(conn, \"0.2.0\")\n    end\n\n    test \"with a NeTEx - 0.2.1\", %{conn: conn} do\n      render_netex_validation(conn, \"0.2.1\")\n    end\n\n    def render_netex_validation(conn, validator_version) do\n      {conn, multi_validation, token} = setup_netex_validation(conn)\n\n      result = %{\n        \"xsd-schema\" => [\n          %{\n            \"code\" => \"xsd-1871\",\n            \"criticity\" => \"error\",\n            \"message\" =>\n              \"Element '{http://www.netex.org.uk/netex}OppositeDIrectionRef': This element is not expected. Expected is ( {http://www.netex.org.uk/netex}OppositeDirectionRef ).\"\n          }\n        ]\n      }\n\n      results_adapter = ResultsAdapter.resolve(validator_version)\n\n      mark_netex_validation_completed(\n        multi_validation,\n        %{\n          validator_version: validator_version,\n          result: nil,\n          digest: results_adapter.digest(result),\n          binary_result: results_adapter.to_binary_result(result),\n          max_error: \"error\"\n        }\n      )\n\n      conn = conn |> get(validation_path(conn, :show, multi_validation.id, token: token))\n      body = conn |> html_response(200) |> Floki.parse_document!() |> Floki.text()\n      assert body =~ ~r{XSD\\s+– 1 erreur}\n\n      assert body =~ \"Au format CSV :\"\n      assert body =~ \"validation.csv\"\n\n      assert url =\n               conn\n               |> get(validation_url(conn, :download_validation_report, multi_validation.id, token: token))\n               |> redirected_to(:moved_permanently)\n\n      assert csv_report_content =\n               conn\n               |> get(url)\n               |> csv_response(200)\n               |> parse_csv()\n\n      assert 1 == length(csv_report_content)\n\n      assert body =~ \"Au format Parquet :\"\n      assert body =~ \"validation.parquet\"\n\n      assert url =\n               conn\n               |> get(\n                 validation_url(conn, :download_validation_report, multi_validation.id, token: token, format: \"parquet\")\n               )\n               |> redirected_to(:moved_permanently)\n\n      assert parquet_report_content =\n               conn\n               |> get(url)\n               |> parquet_response(200)\n               |> parse_parquet()\n\n      assert 1 == length(parquet_report_content)\n    end\n\n    test \"with a schema\", %{conn: conn} do\n      schema_name = \"etalab/foo\"\n\n      Transport.Schemas.Mock\n      |> expect(:transport_schemas, 3, fn -> %{schema_name => %{\"schema_type\" => \"tableschema\", \"title\" => \"foo\"}} end)\n\n      S3TestUtils.s3_mock_stream_file(start_path: \"\", bucket: \"transport-data-gouv-fr-on-demand-validation-test\")\n      assert 0 == count_validations()\n\n      conn =\n        conn\n        |> post(validation_path(conn, :validate), %{\n          \"upload\" => %{\"file\" => %Plug.Upload{path: @gtfs_path}, \"type\" => schema_name}\n        })\n\n      assert 1 == count_validations()\n\n      assert %{\n               oban_args: %{\n                 \"filename\" => filename,\n                 \"permanent_url\" => permanent_url,\n                 \"state\" => \"waiting\",\n                 \"type\" => \"tableschema\",\n                 \"schema_name\" => ^schema_name\n               },\n               id: validation_id\n             } = DB.Repo.one!(DB.MultiValidation)\n\n      assert String.ends_with?(filename, \".csv\")\n      assert permanent_url == Transport.S3.permanent_url(:on_demand_validation, filename)\n\n      assert [\n               %Oban.Job{\n                 args: %{\n                   \"id\" => ^validation_id,\n                   \"state\" => \"waiting\",\n                   \"filename\" => ^filename,\n                   \"permanent_url\" => ^permanent_url,\n                   \"type\" => \"tableschema\",\n                   \"schema_name\" => ^schema_name,\n                   \"secret_url_token\" => token\n                 }\n               }\n             ] = all_enqueued(worker: Transport.Jobs.OnDemandValidationJob, queue: :on_demand_validation)\n\n      assert redirected_to(conn, 302) == validation_path(conn, :show, validation_id, token: token)\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :on_demand_validation,\n                 contact_id: nil,\n                 metadata: %{\"type\" => \"tableschema\", \"schema_name\" => ^schema_name}\n               }\n             ] = DB.FeatureUsage |> DB.Repo.all()\n    end\n\n    test \"with a GTFS-RT\", %{conn: conn} do\n      %DB.Contact{id: contact_id} = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n      gtfs_url = \"https://example.com/gtfs.zip\"\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n      upload_params = %{\"type\" => \"gtfs-rt\", \"url\" => gtfs_url, \"feed_url\" => gtfs_rt_url}\n\n      conn =\n        conn\n        |> Plug.Test.init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n        |> post(validation_path(conn, :validate), %{\"upload\" => upload_params})\n\n      assert 1 == count_validations()\n\n      assert %{\n               oban_args: %{\n                 \"gtfs_url\" => ^gtfs_url,\n                 \"gtfs_rt_url\" => ^gtfs_rt_url,\n                 \"state\" => \"waiting\",\n                 \"type\" => \"gtfs-rt\",\n                 \"secret_url_token\" => token\n               },\n               id: validation_id,\n               validation_timestamp: date\n             } = DB.Repo.one!(DB.MultiValidation)\n\n      refute is_nil(date)\n\n      assert [\n               %Oban.Job{\n                 args: %{\n                   \"id\" => ^validation_id,\n                   \"gtfs_url\" => ^gtfs_url,\n                   \"gtfs_rt_url\" => ^gtfs_rt_url,\n                   \"type\" => \"gtfs-rt\"\n                 }\n               }\n             ] = all_enqueued(worker: Transport.Jobs.OnDemandValidationJob, queue: :on_demand_validation)\n\n      assert redirected_to(conn, 302) == validation_path(conn, :show, validation_id, token: token)\n\n      # Submitting the same GTFS/GTFS-RT should not enqueue another job\n      conn = conn |> post(validation_path(conn, :validate), %{\"upload\" => upload_params})\n\n      assert redirected_to(conn, 302) ==\n               live_path(conn, OnDemandValidationSelectLive, feed_url: gtfs_rt_url, type: \"gtfs-rt\", url: gtfs_url)\n\n      assert Enum.count(all_enqueued(worker: Transport.Jobs.OnDemandValidationJob, queue: :on_demand_validation)) == 1\n\n      assert %{\n               oban_args: %{\n                 \"gtfs_url\" => ^gtfs_url,\n                 \"gtfs_rt_url\" => ^gtfs_rt_url,\n                 \"state\" => \"error\",\n                 \"error_reason\" => \"Can run this job only once every 5 minutes\",\n                 \"type\" => \"gtfs-rt\"\n               }\n             } = DB.MultiValidation |> last() |> DB.Repo.one!()\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :on_demand_validation,\n                 contact_id: ^contact_id,\n                 metadata: %{\"type\" => \"gtfs-rt\"}\n               },\n               %DB.FeatureUsage{\n                 feature: :on_demand_validation,\n                 contact_id: ^contact_id,\n                 metadata: %{\"type\" => \"gtfs-rt\"}\n               }\n             ] = DB.FeatureUsage |> DB.Repo.all() |> Enum.sort_by(& &1.time, DateTime)\n    end\n\n    test \"with an invalid type\", %{conn: conn} do\n      Transport.Schemas.Mock |> expect(:transport_schemas, 2, fn -> %{} end)\n\n      conn\n      |> post(validation_path(conn, :validate), %{\n        \"upload\" => %{\"file\" => %Plug.Upload{path: @gtfs_path}, \"type\" => \"foo\"}\n      })\n      |> html_response(400)\n\n      assert 0 == count_validations()\n\n      assert [\n               %DB.FeatureUsage{\n                 feature: :on_demand_validation,\n                 contact_id: nil,\n                 metadata: %{\"type\" => nil, \"schema_name\" => \"foo\"}\n               }\n             ] = DB.FeatureUsage |> DB.Repo.all()\n    end\n  end\n\n  describe \"GET /validation/:id\" do\n    test \"401 when validation with a token and the passed one doesn't match\", %{conn: conn} do\n      validation =\n        insert(:multi_validation,\n          oban_args: %{\n            \"state\" => \"waiting\",\n            \"type\" => \"etalab/foo\",\n            \"secret_url_token\" => Ecto.UUID.generate()\n          }\n        )\n\n      conn |> get(validation_path(conn, :show, validation.id)) |> html_response(401)\n      conn |> get(validation_path(conn, :show, validation.id, token: \"not-valid\")) |> html_response(401)\n    end\n\n    test \"validation without a token can be accessed\", %{conn: conn} do\n      validation = insert(:multi_validation, oban_args: %{\"state\" => \"waiting\", \"type\" => \"etalab/foo\"})\n\n      refute Map.has_key?(validation.oban_args, \"secret_url_token\")\n\n      conn |> get(validation_path(conn, :show, validation.id)) |> html_response(200)\n    end\n\n    test \"with an unknown validation\", %{conn: conn} do\n      conn |> get(validation_path(conn, :show, 42)) |> html_response(404)\n    end\n\n    test \"with an expired validation\", %{conn: conn} do\n      validation = insert(:multi_validation, oban_args: %{\"state\" => \"completed\"}, result: nil)\n\n      assert conn\n             |> get(validation_path(conn, :show, validation.id))\n             |> html_response(200) =~\n               \"Ce rapport de validation est maintenant expiré. Les résultats ne sont plus accessibles.\"\n    end\n\n    test \"with an error\", %{conn: conn} do\n      {conn, validation} = ensure_waiting_message_is_displayed(conn, %{\"state\" => \"waiting\", \"type\" => \"etalab/foo\"})\n      {:ok, view, _html} = live(conn)\n\n      # Error message is displayed\n      error_msg = \"hello world\"\n\n      validation\n      |> Ecto.Changeset.change(\n        oban_args: Map.merge(validation.oban_args, %{\"state\" => \"error\", \"error_reason\" => error_msg})\n      )\n      |> DB.Repo.update!()\n\n      send(view.pid, :update_data)\n      assert render(view) =~ error_msg\n    end\n\n    test \"with an error for a GTFS\", %{conn: conn} do\n      {conn, validation} = ensure_waiting_message_is_displayed(conn, %{\"state\" => \"waiting\", \"type\" => \"gtfs\"})\n      {:ok, view, _html} = live(conn)\n\n      # Error message is displayed\n      error_msg = \"hello world\"\n\n      validation\n      |> Ecto.Changeset.change(\n        oban_args: Map.merge(validation.oban_args, %{\"state\" => \"error\", \"error_reason\" => error_msg})\n      )\n      |> DB.Repo.update!()\n\n      send(view.pid, :update_data)\n      assert render(view) =~ error_msg\n    end\n\n    test \"with a waiting validation\", %{conn: conn} do\n      {conn, validation} = ensure_waiting_message_is_displayed(conn, %{\"state\" => \"waiting\", \"type\" => \"gtfs\"})\n\n      # Redirects to result's page when validation is done\n      {:ok, view, _html} = live(conn)\n\n      validation\n      |> Ecto.Changeset.change(oban_args: Map.merge(validation.oban_args, %{\"state\" => \"completed\"}))\n      |> DB.Repo.update!()\n\n      send(view.pid, :update_data)\n\n      assert_redirect(\n        view,\n        validation_path(conn, :show, validation.id, token: Map.fetch!(validation.oban_args, \"secret_url_token\"))\n      )\n    end\n\n    test \"with a validation result\", %{conn: conn} do\n      schema_name = \"etalab/foo\"\n\n      Transport.Schemas.Mock\n      |> expect(:transport_schemas, 1, fn ->\n        %{\n          schema_name => %{\n            \"versions\" => [%{\"version_name\" => \"0.1.0\", \"schema_url\" => \"http://example.com/schema.json\"}]\n          }\n        }\n      end)\n\n      {conn, validation} = ensure_waiting_message_is_displayed(conn, %{\"state\" => \"waiting\", \"type\" => schema_name})\n      {:ok, view, _html} = live(conn)\n\n      # Error messages are displayed\n      validation\n      |> Ecto.Changeset.change(\n        oban_args:\n          Map.merge(validation.oban_args, %{\n            \"state\" => \"completed\",\n            \"type\" => \"tableschema\",\n            \"schema_name\" => schema_name\n          }),\n        result: %{\n          \"errors\" => [\n            \"#/features/0/properties/deux_rm_critair: Value is not allowed in enum.\",\n            \"#/features/0/properties/vp_critair: Value is not allowed in enum.\"\n          ],\n          \"has_errors\" => true,\n          errors_count: 2\n        }\n      )\n      |> DB.Repo.update!()\n\n      send(view.pid, :update_data)\n\n      assert render(view) =~ \"2 erreurs\"\n      assert render(view) =~ \"Value is not allowed in enum.\"\n    end\n\n    test \"with a GTFS-RT validation\", %{conn: conn} do\n      gtfs_rt_url = \"https://example.com/gtfs-rt\"\n\n      Transport.HTTPoison.Mock\n      |> expect(:get, fn ^gtfs_rt_url, [], [follow_redirect: true] ->\n        {:ok, %HTTPoison.Response{status_code: 200, body: File.read!(@service_alerts_file)}}\n      end)\n\n      {conn, validation} =\n        ensure_waiting_message_is_displayed(conn, %{\n          \"state\" => \"waiting\",\n          \"type\" => \"gtfs-rt\",\n          \"gtfs_url\" => \"https://example.com/gtfs.zip\",\n          \"gtfs_rt_url\" => gtfs_rt_url\n        })\n\n      {:ok, view, _html} = live(conn)\n\n      # Validation is displayed\n      {:ok, report} = Transport.Validators.GTFSRT.convert_validator_report(@gtfs_rt_report_path, ignore_shapes: true)\n\n      validation\n      |> Ecto.Changeset.change(\n        oban_args: %{validation.oban_args | \"state\" => \"completed\"},\n        result: report\n      )\n      |> DB.Repo.update!()\n\n      send(view.pid, :update_data)\n\n      assert render(view) =~ \"4 erreurs, 26 avertissements\"\n      assert render(view) =~ \"Les shapes présentes dans le GTFS ont été ignorées\"\n      assert render(view) =~ \"stop_times_updates not strictly sorted\"\n      assert render(view) =~ \"vehicle_id should be populated for TripUpdates and VehiclePositions\"\n      assert render(view) =~ \"Ligne 5 Travaux à compter 22/11 pour 5 semaines\"\n    end\n  end\n\n  defp ensure_waiting_message_is_displayed(conn, metadata) do\n    validation =\n      insert(:multi_validation,\n        oban_args: Map.merge(metadata, %{\"secret_url_token\" => Ecto.UUID.generate()})\n      )\n\n    conn =\n      conn\n      |> get(validation_path(conn, :show, validation.id, token: Map.fetch!(validation.oban_args, \"secret_url_token\")))\n\n    # The loader is displayed\n    response = html_response(conn, 200)\n    assert response =~ ~s|<div class=\"loader\">|\n\n    {conn, validation}\n  end\n\n  defp count_validations do\n    DB.Repo.one!(from(v in DB.MultiValidation, select: count()))\n  end\n\n  defp setup_netex_validation(conn) do\n    Transport.Schemas.Mock |> expect(:transport_schemas, fn -> %{} end)\n    S3TestUtils.s3_mock_stream_file(start_path: \"\", bucket: \"transport-data-gouv-fr-on-demand-validation-test\")\n    assert 0 == count_validations()\n\n    conn =\n      conn\n      |> post(validation_path(conn, :validate), %{\n        \"upload\" => %{\"file\" => %Plug.Upload{path: @netex_path}, \"type\" => \"netex\"}\n      })\n\n    assert 1 == count_validations()\n\n    assert %{\n             oban_args: %{\n               \"filename\" => filename,\n               \"permanent_url\" => permanent_url,\n               \"state\" => \"waiting\",\n               \"type\" => \"netex\",\n               \"secret_url_token\" => token\n             },\n             id: validation_id\n           } = multi_validation = DB.MultiValidation |> DB.Repo.one!() |> DB.Repo.preload(:metadata)\n\n    assert [\n             %Oban.Job{\n               args: %{\n                 \"id\" => ^validation_id,\n                 \"state\" => \"waiting\",\n                 \"filename\" => ^filename,\n                 \"permanent_url\" => ^permanent_url,\n                 \"type\" => \"netex\"\n               }\n             }\n           ] = all_enqueued(worker: Transport.Jobs.OnDemandValidationJob, queue: :on_demand_validation)\n\n    assert permanent_url == Transport.S3.permanent_url(:on_demand_validation, filename)\n    assert redirected_to(conn, 302) == validation_path(conn, :show, validation_id, token: token)\n\n    {conn, multi_validation, token}\n  end\n\n  defp mark_netex_validation_completed(multi_validation, arguments) do\n    multi_validation\n    |> Ecto.Changeset.change(\n      Map.merge(arguments, %{\n        oban_args: %{multi_validation.oban_args | \"state\" => \"completed\"},\n        data_vis: nil,\n        metadata: %{}\n      })\n    )\n    |> DB.Repo.update!()\n\n    assert [\n             %DB.FeatureUsage{\n               feature: :on_demand_validation,\n               contact_id: nil,\n               metadata: %{\"type\" => \"netex\"}\n             }\n           ] = DB.FeatureUsage |> DB.Repo.all()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/cache_live_test.exs",
    "content": "defmodule TransportWeb.Backoffice.CacheLiveTest do\n  # async: false: the LiveView reads the global Cachex state, polluted by other async tests.\n  use ExUnit.Case, async: false\n  use TransportWeb.LiveCase\n  import TransportWeb.ConnCase, only: [setup_admin_in_session: 1]\n  import Transport.Application, only: [cache_name: 0]\n  import Phoenix.LiveViewTest\n\n  @endpoint TransportWeb.Endpoint\n  @url \"/backoffice/cache\"\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> Cachex.clear(Transport.Application.cache_name()) end)\n    {:ok, conn: build_conn()}\n  end\n\n  test \"requires login\", %{conn: conn} do\n    conn = get(conn, @url)\n    assert html_response(conn, 302)\n  end\n\n  test \"displays the expected data\", %{conn: conn} do\n    conn = setup_admin_in_session(conn)\n    conn = get(conn, @url)\n\n    response = html_response(conn, 200)\n    assert response =~ \"Debug du cache de l'application transport\"\n\n    assert response =~ \"Nombre de clés : 0\"\n    assert response =~ \"Nombre de clés expirées : 0\"\n    assert [] == extract_data_from_html(response)\n\n    {:ok, view, _html} = live(conn)\n\n    Cachex.put(cache_name(), \"foo\", 42)\n    Cachex.put(cache_name(), \"bar\", \"value\", expire: :timer.seconds(10))\n\n    send(view.pid, :update_data)\n\n    assert render(view) =~ \"Nombre de clés : 2\"\n    assert render(view) =~ \"Nombre de clés expirées : 0\"\n\n    assert [\n             %{\"Clé\" => \"bar\", \"TTL\" => \"dans 10 secondes\"},\n             %{\"Clé\" => \"foo\", \"TTL\" => \"Pas de TTL\"}\n           ] = extract_data_from_html(render(view))\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/custom_tags_live_test.exs",
    "content": "defmodule TransportWeb.CustomTagsLiveTest do\n  use TransportWeb.ConnCase, async: true\n  import Phoenix.LiveViewTest\n  import DB.Factory\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"render and add tags\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session()\n\n    dataset =\n      insert(:dataset,\n        custom_tags: [\"super\", \"top\"],\n        # needs to be preloaded\n        legal_owners_aom: [],\n        # same\n        legal_owners_region: [],\n        # again\n        declarative_spatial_areas: [],\n        offers: [],\n        dataset_subtypes: []\n      )\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.EditDatasetLive,\n        session: %{\n          \"dataset\" => dataset,\n          \"dataset_types\" => [],\n          \"regions\" => [],\n          \"form_url\" => \"url_used_to_post_result\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    # render existing tags\n    assert render(view) =~ \"Ajouter un tag\"\n    assert render(view) =~ \"super\"\n    assert render(view) =~ \"top\"\n\n    # add a new tag\n    view\n    |> element(\"#custom_tag\")\n    |> render_keydown(%{\"key\" => \"Enter\", \"value\" => \" ExCeLlEnT   \"})\n\n    # We need to rerender the view to see the tag\n    assert render(view) =~ \"excellent\"\n    refute render(view) =~ \"excellent   \"\n\n    # Does not lowercase tags for SIRI requestor refs\n    view\n    |> element(\"#custom_tag\")\n    |> render_keydown(%{\"key\" => \"Enter\", \"value\" => \"requestor_ref:OPENDATA\"})\n\n    assert render(view) =~ \"requestor_ref:OPENDATA\"\n  end\n\n  test \"tags_suggestions includes unique tags in the DB + documented tags\" do\n    insert(:dataset, is_active: true, custom_tags: [\"foo\"])\n    insert(:dataset, is_active: true, custom_tags: [\"foo\", \"bar\"])\n    insert(:dataset, is_active: true, is_hidden: true, custom_tags: [\"baz\"])\n    insert(:dataset, is_active: false, custom_tags: [\"nope\"])\n\n    suggestions = MapSet.new(TransportWeb.CustomTagsLive.tags_suggestions())\n\n    assert MapSet.new([\"bar\", \"baz\", \"foo\"]) |> MapSet.subset?(suggestions)\n\n    documented_tags = Enum.map(TransportWeb.CustomTagsLive.tags_documentation(), & &1.name)\n    assert MapSet.new([\"bar\", \"baz\", \"foo\"] ++ documented_tags) |> MapSet.equal?(suggestions)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/dataset_notifications_live_test.exs",
    "content": "defmodule TransportWeb.Live.DatasetNotificationsLiveTest do\n  use TransportWeb.ConnCase, async: true\n  use TransportWeb.LiveCase\n  import DB.Factory\n  import Mox\n  import Phoenix.LiveViewTest\n\n  setup do\n    :verify_on_exit!\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"displays existing subscriptions\", %{conn: conn} do\n    %DB.Dataset{id: dataset_id} = insert(:dataset, custom_title: custom_title = \"Mon super JDD\")\n    other_dataset = insert(:dataset)\n\n    %DB.Contact{id: contact_id} = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n\n    other_contact = insert_contact()\n\n    insert(:dataset_follower, contact_id: contact_id, dataset_id: dataset_id, source: :follow_button)\n    insert(:dataset_follower, contact_id: contact_id, dataset_id: other_dataset.id, source: :follow_button)\n\n    %DB.NotificationSubscription{id: subscription_id} =\n      insert(:notification_subscription,\n        contact_id: contact_id,\n        dataset_id: dataset_id,\n        reason: :expiration,\n        role: :reuser,\n        source: :user\n      )\n\n    # Ignored: another dataset\n    insert(:notification_subscription,\n      contact_id: contact_id,\n      dataset_id: other_dataset.id,\n      reason: :dataset_with_error,\n      role: :reuser,\n      source: :user\n    )\n\n    # Ignored: another contact\n    insert(:notification_subscription,\n      contact_id: other_contact.id,\n      dataset_id: dataset_id,\n      reason: :dataset_with_error,\n      role: :reuser,\n      source: :user\n    )\n\n    # Ignored: platform-wide reason\n    insert(:notification_subscription,\n      contact_id: contact_id,\n      dataset_id: nil,\n      reason: :daily_new_comments,\n      role: :reuser,\n      source: :user\n    )\n\n    Datagouvfr.Client.Organization.Mock\n    |> expect(:get, 2, fn _organization_id, [restrict_fields: true] ->\n      {:ok, %{\"members\" => []}}\n    end)\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, 2, fn _datagouv_id -> [] end)\n\n    content =\n      conn\n      |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n      |> get(reuser_space_path(conn, :datasets_edit, dataset_id))\n      |> html_response(200)\n\n    assert content =~ custom_title\n\n    inputs =\n      content\n      |> Floki.parse_document!()\n      |> Floki.find(~s|table tr td .form__group fieldset .switch input|)\n\n    # Toggled reasons\n    assert [\n             %{\n               \"id\" => \"expiration\",\n               \"phx-value-dataset-id\" => Integer.to_string(dataset_id),\n               \"phx-value-subscription-id\" => Integer.to_string(subscription_id)\n             }\n           ] ==\n             inputs\n             |> keep_checked_inputs()\n             |> Enum.map(fn {\"input\", attributes, []} ->\n               attributes |> Map.new() |> Map.take([\"id\", \"phx-value-dataset-id\", \"phx-value-subscription-id\"])\n             end)\n\n    # Untoggled reasons\n    assert [\"dataset_with_error\", \"resource_unavailable\", \"resources_changed\"] ==\n             inputs\n             |> reject_checked_inputs()\n             |> Enum.map(fn {\"input\", attributes, []} ->\n               attributes |> Map.new() |> Map.fetch!(\"name\")\n             end)\n  end\n\n  test \"toggle on and then off\", %{conn: conn} do\n    %DB.Dataset{id: dataset_id} = insert(:dataset)\n    %DB.Contact{id: contact_id} = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n    insert(:dataset_follower, contact_id: contact_id, dataset_id: dataset_id, source: :follow_button)\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.DatasetNotificationsLive,\n        session: %{\n          \"current_user\" => %{\"id\" => datagouv_user_id},\n          \"dataset_id\" => dataset_id,\n          \"locale\" => \"fr\"\n        }\n      )\n\n    assert [] = DB.NotificationSubscription |> DB.Repo.all()\n\n    render_change(view, :toggle, %{\n      \"dataset-id\" => dataset_id,\n      \"subscription-id\" => \"\",\n      \"reason\" => \"expiration\",\n      \"action\" => \"turn_on\"\n    })\n\n    assert [\n             %DB.NotificationSubscription{\n               contact_id: ^contact_id,\n               dataset_id: ^dataset_id,\n               source: :user,\n               role: :reuser,\n               reason: :expiration,\n               id: subscription_id\n             }\n           ] = DB.NotificationSubscription |> DB.Repo.all()\n\n    render_change(view, :toggle, %{\n      \"dataset-id\" => dataset_id,\n      \"subscription-id\" => subscription_id,\n      \"reason\" => \"expiration\",\n      \"action\" => \"turn_off\"\n    })\n\n    assert [] = DB.NotificationSubscription |> DB.Repo.all()\n  end\n\n  defp keep_checked_inputs(inputs) do\n    Enum.filter(inputs, fn {\"input\", attributes, []} -> {\"checked\", \"checked\"} in attributes end)\n  end\n\n  defp reject_checked_inputs(inputs) do\n    Enum.reject(inputs, fn {\"input\", attributes, []} ->\n      Enum.any?([{\"checked\", \"checked\"}, {\"type\", \"hidden\"}], &(&1 in attributes))\n    end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/discussions_live_test.exs",
    "content": "defmodule Transport.TransportWeb.DiscussionsLiveTest do\n  use TransportWeb.ConnCase, async: true\n  import Phoenix.LiveViewTest\n  import DB.Factory\n  import Mox\n\n  @admin_datagouv_id \"5e60d6668b4c410c429b8a4a\"\n  @art_organization_id \"5a65deb788ee38279c49d926\"\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n\n    %{\n      admin_org: insert(:organization, name: \"Point d'Accès National transport.data.gouv.fr\"),\n      art_org: insert(:organization, id: @art_organization_id)\n    }\n  end\n\n  test \"render some discussions\", %{conn: conn, admin_org: admin_org} do\n    insert_contact(%{datagouv_user_id: @admin_datagouv_id, organizations: [Map.from_struct(admin_org)]})\n\n    dataset =\n      insert(:dataset,\n        datagouv_id: datagouv_id = Ecto.UUID.generate(),\n        organization_id: organization_id = Ecto.UUID.generate()\n      )\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, fn ^datagouv_id -> discussions() end)\n\n    Datagouvfr.Client.Organization.Mock\n    |> expect(:get, fn ^organization_id, [restrict_fields: true] -> organization() end)\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.DiscussionsLive,\n        session: %{\n          \"dataset_datagouv_id\" => datagouv_id,\n          \"current_user\" => %{\"email\" => \"fc@tdg.fr\"},\n          \"dataset\" => dataset,\n          \"locale\" => \"fr\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    parsed_content = view |> render() |> Floki.parse_document!()\n\n    discussion_title_text =\n      parsed_content |> Floki.find(\".discussion-title h4\") |> Floki.text()\n\n    [question_comment, answer_comment] = Floki.find(parsed_content, \".discussion-comment\")\n    question_comment_text = Floki.text(question_comment)\n\n    assert discussion_title_text =~ \"Le titre de la question\"\n    assert question_comment_text =~ \"petite question\"\n    assert question_comment_text =~ \"Francis Chabouis\"\n    assert question_comment_text =~ \"07/06/2023\"\n    refute question_comment_text =~ \"Producteur de la donnée\"\n\n    # This user is a member of transport.data.gouv.fr\n    assert [@admin_datagouv_id] == DB.Contact.admin_datagouv_ids()\n\n    assert question_comment |> Floki.find(\".label.label--role\") |> Floki.text() |> String.trim() ==\n             \"transport.data.gouv.fr\"\n\n    assert question_comment |> Floki.find(\"img\") |> Floki.attribute(\"alt\") == [\"Francis Chabouis\"]\n\n    # Producer badge\n    assert answer_comment |> Floki.find(\".label.label--role\") |> Floki.text() |> String.trim() =~\n             \"Producteur de la donnée\"\n\n    assert answer_comment |> Floki.find(\"img\") |> Floki.attribute(\"src\") == [\n             \"https://demo-static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-100.png\"\n           ]\n  end\n\n  test \"regulator's badge\", %{conn: conn, art_org: art_org} do\n    %{\"id\" => user_id} = discussions() |> hd() |> Map.fetch!(\"discussion\") |> hd() |> Map.fetch!(\"posted_by\")\n    insert_contact(%{datagouv_user_id: user_id, organizations: [Map.from_struct(art_org)]})\n\n    dataset =\n      insert(:dataset,\n        datagouv_id: datagouv_id = Ecto.UUID.generate(),\n        organization_id: organization_id = Ecto.UUID.generate()\n      )\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, fn ^datagouv_id -> discussions() end)\n\n    Datagouvfr.Client.Organization.Mock\n    |> expect(:get, fn ^organization_id, [restrict_fields: true] -> organization() end)\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.DiscussionsLive,\n        session: %{\n          \"dataset_datagouv_id\" => datagouv_id,\n          \"current_user\" => %{\"email\" => \"fc@tdg.fr\"},\n          \"dataset\" => dataset,\n          \"locale\" => \"fr\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    [question_comment, _] = view |> render() |> Floki.parse_document!() |> Floki.find(\".discussion-comment\")\n\n    # This user is a member of the regulator's organization\n    assert [user_id] == DB.Contact.regulator_datagouv_ids()\n\n    assert question_comment |> Floki.find(\".label.label--role\") |> Floki.text() |> String.trim() == \"Régulateur\"\n  end\n\n  test \"renders even if data.gouv is down\", %{conn: conn} do\n    dataset =\n      insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate(), organization_id: org_id = Ecto.UUID.generate())\n\n    # in case of request failure, the function returns an empty list.\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, fn ^datagouv_id -> [] end)\n    Datagouvfr.Client.Organization.Mock |> expect(:get, fn ^org_id, _opts -> {:error, \"error reason\"} end)\n\n    assert {:ok, view, _html} =\n             live_isolated(conn, TransportWeb.DiscussionsLive,\n               session: %{\n                 \"dataset_datagouv_id\" => datagouv_id,\n                 \"current_user\" => %{\"email\" => \"fc@tdg.fr\"},\n                 \"dataset\" => dataset,\n                 \"locale\" => \"fr\",\n                 \"csp_nonce_value\" => Ecto.UUID.generate()\n               }\n             )\n\n    # we render the view to make sure the async call to data.gouv is done\n    assert render(view) =~ \"\"\n  end\n\n  test \"closed discussion banner\", %{conn: conn} do\n    dataset =\n      insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate(), organization_id: org_id = Ecto.UUID.generate())\n\n    discussions =\n      discussions()\n      |> Enum.map(fn discussion -> Map.put(discussion, \"closed\", DateTime.utc_now() |> DateTime.to_iso8601()) end)\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, fn ^datagouv_id -> discussions end)\n    Datagouvfr.Client.Organization.Mock |> expect(:get, fn ^org_id, [restrict_fields: true] -> organization() end)\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.DiscussionsLive,\n        session: %{\n          \"dataset_datagouv_id\" => datagouv_id,\n          \"current_user\" => %{\"email\" => \"fc@tdg.fr\"},\n          \"dataset\" => dataset,\n          \"locale\" => \"fr\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    assert view\n           |> render()\n           |> Floki.parse_document!()\n           |> Floki.find(\".notification.warning\")\n           |> Floki.text()\n           |> String.trim() == \"Cette discussion est fermée\"\n  end\n\n  test \"answer and answer and close buttons\", %{conn: conn} do\n    dataset =\n      insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate(), organization_id: org_id = Ecto.UUID.generate())\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, 2, fn ^datagouv_id -> discussions() end)\n    Datagouvfr.Client.Organization.Mock |> expect(:get, 2, fn ^org_id, [restrict_fields: true] -> organization() end)\n\n    # When the current user *IS NOT* a member of the dataset organization\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.DiscussionsLive,\n        session: %{\n          \"dataset_datagouv_id\" => datagouv_id,\n          \"current_user\" => %{\"email\" => \"fc@tdg.fr\"},\n          \"dataset\" => dataset,\n          \"locale\" => \"fr\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    parsed_content = view |> render() |> Floki.parse_document!()\n    assert Floki.find(parsed_content, \".discussion-form .button-outline\") |> Floki.text() |> String.trim() == \"Répondre\"\n    assert \"Répondre\" == parsed_content |> Floki.find(\".discussion-form button\") |> Floki.text() |> String.trim()\n    assert parsed_content |> Floki.find(\".notification\") |> Enum.empty?()\n\n    # When the current user *IS* a member of the dataset organization\n    user_id = organization() |> elem(1) |> Map.fetch!(\"members\") |> hd() |> get_in([\"user\", \"id\"])\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.DiscussionsLive,\n        session: %{\n          \"dataset_datagouv_id\" => datagouv_id,\n          \"current_user\" => %{\"email\" => \"fc@tdg.fr\", \"id\" => user_id},\n          \"dataset\" => dataset,\n          \"locale\" => \"fr\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    # Two buttons: answer + answer and close\n    doc = view |> render() |> Floki.parse_document!()\n    assert Floki.find(doc, \".discussion-form .button-outline\") |> Floki.text() |> String.trim() == \"Répondre ou clore\"\n\n    assert [\n             {\"button\", [{\"class\", \"button\"}, {\"name\", \"anwser\"}, {\"type\", \"submit\"}], [anwser_text]},\n             {\"button\", [{\"class\", \"button secondary\"}, {\"name\", \"answer_and_close\"}, {\"type\", \"submit\"}],\n              [answer_and_close_text]}\n           ] = doc |> Floki.find(\".discussion-form button\")\n\n    assert [\"Répondre\", \"Répondre et clore\"] == Enum.map([anwser_text, answer_and_close_text], &String.trim/1)\n    assert doc |> Floki.find(\".notification\") |> Enum.empty?()\n  end\n\n  test \"the counter reacts to broadcasted messages\", %{conn: conn} do\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.CountDiscussionsLive,\n        session: %{\n          \"dataset_datagouv_id\" => datagouv_id = Ecto.UUID.generate()\n        }\n      )\n\n    refute render(view) =~ \"(\"\n\n    Phoenix.PubSub.broadcast(\n      TransportWeb.PubSub,\n      \"dataset_discussions_count:bad_dataset_id\",\n      {:count, 10}\n    )\n\n    refute render(view) =~ \"(\"\n\n    Phoenix.PubSub.broadcast(\n      TransportWeb.PubSub,\n      \"dataset_discussions_count:#{datagouv_id}\",\n      {:count, 10}\n    )\n\n    assert render(view) =~ \"(10)\"\n  end\n\n  test \"a closed discussion should be displayed as closed\" do\n    discussion = %{\"closed\" => \"2021-09-10T16:14:53.091000+00:00\"}\n    assert TransportWeb.DiscussionsLive.discussion_should_be_closed?(discussion)\n  end\n\n  test \"a discussion with an old discussion should be displayed as closed\" do\n    discussion = %{\n      \"closed\" => nil,\n      \"discussion\" => [\n        %{\n          \"posted_on\" => iso8601_string_x_months_ago(3)\n        },\n        %{\n          \"posted_on\" => iso8601_string_x_months_ago(4)\n        },\n        %{\n          \"posted_on\" => iso8601_string_x_months_ago(5)\n        }\n      ]\n    }\n\n    assert TransportWeb.DiscussionsLive.discussion_should_be_closed?(discussion)\n  end\n\n  test \"a discussion with a newer discussion should not be displayed as closed\" do\n    discussion = %{\n      \"closed\" => nil,\n      \"discussion\" => [\n        %{\n          \"posted_on\" => iso8601_string_x_months_ago(1)\n        },\n        %{\n          \"posted_on\" => iso8601_string_x_months_ago(4)\n        },\n        %{\n          \"posted_on\" => iso8601_string_x_months_ago(5)\n        }\n      ]\n    }\n\n    refute TransportWeb.DiscussionsLive.discussion_should_be_closed?(discussion)\n  end\n\n  defp iso8601_string_x_months_ago(x) do\n    DateTime.utc_now() |> TimeWrapper.shift(months: -x) |> DateTime.to_iso8601()\n  end\n\n  defp discussions do\n    [\n      %{\n        \"class\" => \"Discussion\",\n        \"closed\" => nil,\n        \"closed_by\" => nil,\n        \"created\" => \"2023-06-07T14:59:48.310000+00:00\",\n        \"discussion\" => [\n          %{\n            \"content\" => \"petite question\",\n            \"posted_by\" => %{\n              \"avatar\" => \"https://demo-static.data.gouv.fr/avatars/66/831b849f1c454683bbc9253c5ee191-original.png\",\n              \"avatar_thumbnail\" =>\n                \"https://demo-static.data.gouv.fr/avatars/66/831b849f1c454683bbc9253c5ee191-500.png\",\n              \"class\" => \"User\",\n              \"first_name\" => \"Francis\",\n              \"id\" => @admin_datagouv_id,\n              \"last_name\" => \"Chabouis\",\n              \"page\" => \"https://demo.data.gouv.fr/fr/users/francis-chabouis-1/\",\n              \"slug\" => \"francis-chabouis-1\",\n              \"uri\" => \"https://demo.data.gouv.fr/api/1/users/francis-chabouis-1/\"\n            },\n            \"posted_on\" => \"2023-06-07T14:59:48.310000+00:00\"\n          },\n          %{\n            \"content\" => \"pouvez-vous répéter la question ?\",\n            \"posted_by\" => %{\n              \"avatar\" => nil,\n              \"avatar_thumbnail\" => nil,\n              \"class\" => \"User\",\n              \"first_name\" => \"Vincent\",\n              \"id\" => \"649ad29b9a7af3d61ded5785\",\n              \"last_name\" => \"Degove\",\n              \"page\" => \"https://demo.data.gouv.fr/fr/users/vincent-degove-1/\",\n              \"slug\" => \"vincent-degove-1\",\n              \"uri\" => \"https://demo.data.gouv.fr/api/1/users/vincent-degove-1/\"\n            },\n            \"posted_on\" => \"2023-06-07T14:59:48.310000+00:00\"\n          }\n        ],\n        \"extras\" => %{},\n        \"id\" => \"64809b64d0b8608165867d6f\",\n        \"subject\" => %{\"class\" => \"Dataset\", \"id\" => \"60a37b7f303fdf4f2654b73d\"},\n        \"title\" => \"Le titre de la question\",\n        \"url\" => \"https://demo.data.gouv.fr/api/1/discussions/64809b64d0b8608165867d6f/\",\n        \"user\" => %{\n          \"avatar\" => \"https://demo-static.data.gouv.fr/avatars/66/831b849f1c454683bbc9253c5ee191-original.png\",\n          \"avatar_thumbnail\" => \"https://demo-static.data.gouv.fr/avatars/66/831b849f1c454683bbc9253c5ee191-500.png\",\n          \"class\" => \"User\",\n          \"first_name\" => \"Francis\",\n          \"id\" => \"5e60d6668b4c410c429b8a4a\",\n          \"last_name\" => \"Chabouis\",\n          \"page\" => \"https://demo.data.gouv.fr/fr/users/francis-chabouis-1/\",\n          \"slug\" => \"francis-chabouis-1\",\n          \"uri\" => \"https://demo.data.gouv.fr/api/1/users/francis-chabouis-1/\"\n        }\n      }\n    ]\n  end\n\n  defp organization do\n    {:ok,\n     %{\n       \"logo_thumbnail\" => \"https://demo-static.data.gouv.fr/avatars/85/53e0a3845e43eb87fb905032aaa389-100.png\",\n       \"members\" => [%{\"user\" => %{\"id\" => \"649ad29b9a7af3d61ded5785\"}}]\n     }}\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/edit_dataset_live_test.exs",
    "content": "defmodule TransportWeb.EditDatasetLiveTest do\n  # The trigger refresh_dataset_geographic_view_trigger makes this test\n  # unreliable in a concurrent setup.\n  use TransportWeb.ConnCase, async: false\n  import Phoenix.LiveViewTest\n  import Mox\n  import DB.Factory\n\n  setup :verify_on_exit!\n\n  setup do\n    # Using the real implementation for the moment, then it falls back on `HTTPoison.Mock`\n    Mox.stub_with(Datagouvfr.Client.Datasets.Mock, Datagouvfr.Client.Datasets.External)\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"dataset form, input url is 404\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session()\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.EditDatasetLive,\n        session: %{\n          \"dataset\" => nil,\n          \"dataset_types\" => [],\n          \"regions\" => [],\n          \"form_url\" => \"url_used_to_post_result\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    slug = \"url_404\"\n    input_data_gouv_url = \"http://data.gouv.fr/#{slug}\"\n    api_url = \"https://demo.data.gouv.fr/api/1/datasets/#{slug}/\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, 1, fn :get, ^api_url, _, _, _ ->\n      {:ok, %HTTPoison.Response{body: \"\", status_code: 404}}\n    end)\n\n    # this is done in the liveView by a spawned Task\n    # but I couldn't find a way to use the Mox in the spawned process :(\n    # so I do it manually\n    datagouv_info = TransportWeb.EditDatasetLive.get_datagouv_infos(input_data_gouv_url)\n\n    # the task sends back the message\n    send(view.pid, {Process.monitor(self()), datagouv_info})\n\n    assert render(view) =~ \"Impossible de trouver ce jeu de données sur data.gouv\"\n  end\n\n  test \"dataset form, input url is 200, new dataset\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session()\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.EditDatasetLive,\n        session: %{\n          \"dataset\" => nil,\n          \"dataset_types\" => [],\n          \"regions\" => [],\n          \"form_url\" => \"url_used_to_post_result\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    input_data_gouv_url = \"http://data.gouv.fr/url_200\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, 1, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/url_200/\", _, _, _ ->\n      {:ok,\n       %HTTPoison.Response{\n         body: ~s({\"id\":\"1234\",\"title\": \"Horaires de Talence\", \"organization\": {\"name\": \"Mairie de Talence\"}}),\n         status_code: 200\n       }}\n    end)\n\n    # this is shown only when we know the organization name\n    refute render(view) =~ \"publié par\"\n\n    datagouv_info = TransportWeb.EditDatasetLive.get_datagouv_infos(input_data_gouv_url)\n\n    # the task sends back the message\n    send(view.pid, {Process.monitor(self()), datagouv_info})\n\n    assert render(view) =~ \"Horaires de Talence\"\n    assert render(view) =~ \"1234\"\n    assert render(view) =~ \"pas encore référencé chez nous\"\n\n    assert render(view) =~ \"publié par\"\n    assert render(view) =~ \"Mairie de Talence\"\n  end\n\n  test \"dataset form, input url is 200, existing dataset\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session()\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.EditDatasetLive,\n        session: %{\n          \"dataset\" => nil,\n          \"dataset_types\" => [],\n          \"regions\" => [],\n          \"form_url\" => \"url_used_to_post_result\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    insert(:dataset, datagouv_id: datagouv_id = \"1234\")\n\n    input_data_gouv_url = \"http://data.gouv.fr/url_200\"\n\n    Transport.HTTPoison.Mock\n    |> expect(:request, 1, fn :get, \"https://demo.data.gouv.fr/api/1/datasets/url_200/\", _, _, _ ->\n      {:ok,\n       %HTTPoison.Response{\n         body: ~s({\"id\":\"#{datagouv_id}\",\"title\": \"Horaires de Talence\"}),\n         status_code: 200\n       }}\n    end)\n\n    datagouv_info = TransportWeb.EditDatasetLive.get_datagouv_infos(input_data_gouv_url)\n\n    # the task sends back the message\n    send(view.pid, {Process.monitor(self()), datagouv_info})\n\n    assert render(view) =~ \"Horaires de Talence\"\n    assert render(view) =~ \"1234\"\n    assert render(view) =~ \"Ce jeu de données est déjà référencé\"\n  end\n\n  test \"dataset form, show legal AOM owners and spatial areas saved in database\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session()\n\n    dataset =\n      insert(:dataset,\n        datagouv_id: \"1234\",\n        legal_owners_aom: [insert(:aom, nom: aom_name = \"Bordeaux Métropole\")],\n        legal_owners_region: [insert(:region, nom: region_name = \"jolie région\")],\n        # needs to be preloaded\n        declarative_spatial_areas: [\n          insert(:administrative_division,\n            type: :epci,\n            insee: \"123456789\",\n            type_insee: \"epci_123456789\",\n            nom: \"Mon EPCI\"\n          )\n        ],\n        offers: [],\n        dataset_subtypes: []\n      )\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.EditDatasetLive,\n        session: %{\n          \"dataset\" => dataset,\n          \"dataset_types\" => [],\n          \"regions\" => [],\n          \"form_url\" => \"url_used_to_post_result\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    assert render(view) =~ \"Représentants légaux\"\n    assert render(view) =~ aom_name\n    assert render(view) =~ region_name\n    assert render(view) =~ \"Mon EPCI (123456789 – EPCI)\"\n  end\n\n  test \"dataset form, show legal company owner saved in database\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session()\n\n    dataset =\n      insert(:dataset,\n        datagouv_id: \"1234\",\n        legal_owner_company_siren: siren = \"552049447\",\n        legal_owners_aom: [],\n        legal_owners_region: [],\n        # needs to be preloaded\n        declarative_spatial_areas: [],\n        offers: [],\n        dataset_subtypes: []\n      )\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.EditDatasetLive,\n        session: %{\n          \"dataset\" => dataset,\n          \"dataset_types\" => [],\n          \"regions\" => [],\n          \"form_url\" => \"url_used_to_post_result\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    assert render(view) =~ \"Représentants légaux\"\n    assert render(view) =~ siren\n  end\n\n  test \"dataset form, show offers saved in the database\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session()\n\n    dataset =\n      insert(:dataset,\n        datagouv_id: \"1234\",\n        offers: [insert(:offer, nom_commercial: nom_commercial = \"Astuce\")],\n        # needs to be preloaded\n        dataset_subtypes: [],\n        legal_owners_aom: [],\n        legal_owners_region: [],\n        declarative_spatial_areas: []\n      )\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.EditDatasetLive,\n        session: %{\n          \"dataset\" => dataset,\n          \"dataset_types\" => [],\n          \"regions\" => [],\n          \"form_url\" => \"url_used_to_post_result\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    assert render(view) =~ \"Offres\"\n    assert render(view) =~ nom_commercial\n  end\n\n  test \"dataset form, show dataset subtypes saved in the database\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session()\n\n    dataset =\n      insert(:dataset,\n        type: \"public-transit\",\n        dataset_subtypes: [insert(:dataset_subtype, slug: \"urban\", parent_type: \"public-transit\")],\n        # needs to be preloaded\n        offers: [],\n        legal_owners_aom: [],\n        legal_owners_region: [],\n        declarative_spatial_areas: []\n      )\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.EditDatasetLive,\n        session: %{\n          \"dataset\" => dataset,\n          \"dataset_types\" => [],\n          \"regions\" => [],\n          \"form_url\" => \"url_used_to_post_result\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    assert render(view) =~ \"urban\"\n  end\n\n  test \"form inputs are persisted\", %{conn: conn} do\n    conn = conn |> setup_admin_in_session()\n    aom = insert(:aom, nom: \"mon AOM\")\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.EditDatasetLive,\n        session: %{\n          \"dataset\" => nil,\n          \"dataset_types\" => [],\n          \"regions\" => [],\n          \"form_url\" => \"url_used_to_post_result\",\n          \"csp_nonce_value\" => Ecto.UUID.generate()\n        }\n      )\n\n    custom_title = \"dataset custom title\"\n\n    # fill the custom title input, it should be rendered\n    assert view\n           |> element(\"form\")\n           |> render_change(%{_target: [\"form\", \"custom_title\"], form: %{custom_title: custom_title}}) =~ custom_title\n\n    # add a legal owner, by sending a message\n    send(view.pid, {:updated_legal_owner, [%{id: aom.id, label: aom.nom, type: \"aom\"}]})\n\n    # the legal owner is rendered\n    assert render(view) =~ aom.nom\n    # custom title has not been cleared\n    assert render(view) =~ custom_title\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/email_preview_live_test.exs",
    "content": "defmodule TransportWeb.Backoffice.EmailPreviewLiveTest do\n  use ExUnit.Case, async: true\n  use TransportWeb.LiveCase\n  import DB.Factory\n  import Phoenix.LiveViewTest\n\n  doctest TransportWeb.Backoffice.EmailPreviewLive, import: true\n\n  @endpoint TransportWeb.Endpoint\n  @url \"/backoffice/email_preview\"\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    {:ok, conn: build_conn()}\n  end\n\n  test \"requires login\", %{conn: conn} do\n    conn = get(conn, @url)\n    assert html_response(conn, 302)\n  end\n\n  test \"displays the expected data\", %{conn: conn} do\n    insert(:dataset, type: \"public-transit\", custom_title: \"Hello\")\n    insert(:dataset, type: \"public-transit\", custom_title: \"Hello\")\n\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    conn =\n      conn\n      |> init_test_session(%{\n        current_user: %{\"id\" => contact.datagouv_user_id, \"is_admin\" => true},\n        csp_nonce_value: \"nonce\"\n      })\n      |> get(@url)\n\n    {:ok, view, _html} = live(conn)\n\n    assert view |> render() |> Floki.parse_document!() |> Floki.find(\"h1\") |> Floki.text() == \"Email preview\"\n\n    form = view |> element(\"form\")\n\n    assert [\"Bienvenue ! Découvrez votre Espace producteur\"] == form |> search_by_value(\"Bienvenue\") |> subjects()\n    assert [\"Loi climat et résilience : suivi des jeux de données\"] == form |> search_by_value(\"climat\") |> subjects()\n\n    assert [\n             \"Erreurs détectées dans le jeu de données Hello\",\n             \"Gestion de vos favoris dans votre espace réutilisateur\",\n             \"Hello : ressources modifiées\",\n             \"Loi climat et résilience : suivi des jeux de données\",\n             \"Nouveaux commentaires sur transport.data.gouv.fr\",\n             \"Nouveaux jeux de données référencés\",\n             \"Ressources indisponibles dans le jeu de données Hello\",\n             \"Suivi des jeux de données favoris arrivant à expiration\"\n           ] == form |> search_by_value(\"reuser\") |> subjects()\n\n    assert form |> search_by_value(\"\") |> subjects() |> Enum.count() >= 15\n  end\n\n  test \"all emails in Transport.UserNotifier are present\" do\n    insert(:dataset, type: \"public-transit\")\n    insert(:dataset, type: \"public-transit\")\n\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    {:ok, %Phoenix.LiveView.Socket{assigns: %{emails: emails}}} =\n      TransportWeb.Backoffice.EmailPreviewLive.mount(\n        %{},\n        %{\"current_user\" => %{\"id\" => contact.datagouv_user_id, \"is_admin\" => true}, \"csp_nonce_value\" => \"nonce\"},\n        %Phoenix.LiveView.Socket{}\n      )\n\n    assert Transport.UserNotifier.__info__(:functions)\n           |> Enum.map(fn {function, _arity} -> function end)\n           |> Enum.reject(&(&1 in [:resource_titles, :render_body, :expiration_email_subject]))\n           |> MapSet.new() == emails |> Enum.map(&elem(&1, 0)) |> MapSet.new()\n  end\n\n  defp search_by_value(%Phoenix.LiveViewTest.Element{} = el, value) do\n    render_change(el, %{_target: [\"search\"], search: value})\n  end\n\n  defp subjects(%Phoenix.LiveViewTest.View{} = view), do: view |> render() |> subjects()\n\n  defp subjects(content) when is_binary(content) do\n    content\n    |> Floki.parse_document!()\n    |> Floki.find(~s|[data-name=\"subject\"]|)\n    |> Enum.map(&(&1 |> Floki.text() |> String.trim()))\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/feedback_live_test.exs",
    "content": "defmodule TransportWeb.FeedbackLiveTest do\n  use TransportWeb.ConnCase, async: true\n  import Phoenix.LiveViewTest\n  import Swoosh.TestAssertions\n  import ExUnit.CaptureLog\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    on_exit(fn -> assert_no_email_sent() end)\n  end\n\n  @endpoint TransportWeb.Endpoint\n\n  test \"Render the feedback component\", %{conn: conn} do\n    {:ok, _view, html} =\n      live_isolated(conn, TransportWeb.Live.FeedbackLive,\n        session: %{\"feature\" => \"on_demand_validation\", \"locale\" => \"fr\", \"csp_nonce_value\" => Ecto.UUID.generate()}\n      )\n\n    assert html =~ \"Qu’avez-vous pensé de cette page ?\"\n  end\n\n  test \"Post feedback form with honey pot filled\", %{conn: conn} do\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.FeedbackLive,\n        session: %{\"feature\" => \"on_demand_validation\", \"locale\" => \"fr\", \"csp_nonce_value\" => Ecto.UUID.generate()}\n      )\n\n    view\n    |> element(\"form\")\n    |> render_submit(%{feedback: %{email: \"spammer@internet.com\", name: \"John Doe\"}})\n    |> Kernel.=~(\"Merci d’avoir laissé votre avis !\")\n    |> assert\n\n    assert_no_email_sent()\n  end\n\n  test \"Post feedback form without honey pot\", %{conn: conn} do\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.FeedbackLive,\n        session: %{\"feature\" => \"on_demand_validation\", \"locale\" => \"fr\", \"csp_nonce_value\" => Ecto.UUID.generate()}\n      )\n\n    view\n    |> element(\"form\")\n    |> render_submit(%{\n      feedback: %{\n        email: \"\",\n        feature: \"on_demand_validation\",\n        rating: \"like\",\n        explanation: \"  so useful for my GTFS files  \"\n      }\n    })\n    |> Kernel.=~(\"Merci d’avoir laissé votre avis !\")\n    |> assert\n\n    assert_email_sent(fn %Swoosh.Email{\n                           from: {\"Formulaire feedback\", \"contact@transport.data.gouv.fr\"},\n                           to: [{\"\", \"contact@transport.data.gouv.fr\"}],\n                           subject: \"Nouvel avis pour on_demand_validation : j’aime\",\n                           text_body: nil,\n                           html_body: html,\n                           reply_to: {\"\", \"contact@transport.data.gouv.fr\"}\n                         } ->\n      assert remove_whitespace(html) =~\n               \"<p> Vous avez un nouvel avis sur le PAN.</p> <ul> <li> Fonctionnalité : on_demand_validation </li> <li> Notation : j’aime </li> <li> Adresse e-mail : </li> </ul> <p> Explication : so useful for my GTFS files</p>\"\n    end)\n\n    assert %DB.UserFeedback{\n             rating: :like,\n             explanation: \"so useful for my GTFS files\",\n             feature: :on_demand_validation,\n             email: nil\n           } = DB.UserFeedback |> Ecto.Query.last() |> DB.Repo.one()\n  end\n\n  test \"Post invalid parameters in feedback form and check it doesn’t crash\", %{conn: conn} do\n    feedback_count = DB.UserFeedback |> DB.Repo.aggregate(:count, :id)\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.FeedbackLive,\n        session: %{\"feature\" => \"on_demand_validation\", \"locale\" => \"fr\", \"csp_nonce_value\" => Ecto.UUID.generate()}\n      )\n\n    {view, logs} =\n      with_log(fn ->\n        view\n        |> element(\"form\")\n        |> render_submit(%{topic: \"question\", demande: \"where is my dataset?\"})\n      end)\n\n    assert view =~ \"Il y a eu une erreur réessayez.\"\n    assert logs =~ \"Bad parameters for feedback\"\n    assert_no_email_sent()\n    # Nothing should have been inserted in the database\n    assert feedback_count == DB.UserFeedback |> DB.Repo.aggregate(:count, :id)\n  end\n\n  test \"Is correctly included in the validation Liveview\", %{conn: conn} do\n    Transport.Schemas.Mock |> expect(:transport_schemas, 2, fn -> %{} end)\n    {:ok, _view, html} = conn |> live(live_path(conn, TransportWeb.Live.OnDemandValidationSelectLive))\n    assert html =~ \"<h2>Laissez-nous votre avis</h2>\"\n  end\n\n  defp remove_whitespace(value), do: value |> String.replace(~r/(\\s)+/, \" \") |> String.trim()\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/follow_dataset_live_test.exs",
    "content": "defmodule TransportWeb.Live.FollowDatasetLiveTest do\n  use TransportWeb.ConnCase, async: true\n  use Oban.Testing, repo: DB.Repo\n  import Phoenix.LiveViewTest\n  import DB.Factory\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"when user is logged out\", %{conn: conn} do\n    dataset = insert(:dataset)\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.FollowDatasetLive,\n        session: %{\n          \"locale\" => \"fr\",\n          \"dataset_id\" => dataset.id,\n          \"current_user\" => nil\n        }\n      )\n\n    assert_renders_logged_out_div(view, with_banner: false)\n\n    # Clicking the heart icon\n    view |> element(\"div i\") |> render_click()\n\n    assert_renders_logged_out_div(view, with_banner: true)\n  end\n\n  test \"when current_user is a producer of the dataset\", %{conn: conn} do\n    organization = build(:organization)\n    producer = insert_contact(%{datagouv_user_id: Ecto.UUID.generate(), organizations: [Map.from_struct(organization)]})\n    dataset = insert(:dataset, organization_id: organization.id)\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.FollowDatasetLive,\n        session: %{\n          \"locale\" => \"fr\",\n          \"dataset_id\" => dataset.id,\n          \"current_user\" => %{\"id\" => producer.datagouv_user_id}\n        }\n      )\n\n    assert_renders_manage_settings_div(view, dataset.id)\n  end\n\n  test \"follows the dataset\", %{conn: conn} do\n    %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n    %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n    insert(:dataset_follower, contact_id: contact.id, dataset_id: dataset.id, source: :datagouv)\n\n    notification_subscription =\n      insert(:notification_subscription,\n        contact_id: contact.id,\n        dataset_id: dataset.id,\n        source: :user,\n        role: :reuser,\n        reason: :expiration\n      )\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.FollowDatasetLive,\n        session: %{\n          \"locale\" => \"fr\",\n          \"dataset_id\" => dataset.id,\n          \"current_user\" => %{\"id\" => contact.datagouv_user_id}\n        }\n      )\n\n    assert [notification_subscription] == DB.NotificationSubscription |> DB.Repo.all()\n    assert_renders_red_heart(view, dataset_id, with_banner: false)\n    assert [%DB.DatasetFollower{dataset_id: ^dataset_id, contact_id: ^contact_id}] = DB.DatasetFollower |> DB.Repo.all()\n  end\n\n  test \"does not follow the dataset, clicking the heart icon\", %{conn: conn} do\n    %DB.Dataset{id: dataset_id} = dataset = insert(:dataset)\n    %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.FollowDatasetLive,\n        session: %{\n          \"locale\" => \"fr\",\n          \"dataset_id\" => dataset.id,\n          \"current_user\" => %{\"id\" => contact.datagouv_user_id}\n        }\n      )\n\n    assert_renders_grey_heart(view)\n\n    assert [] == DB.NotificationSubscription |> DB.Repo.all()\n\n    # Clicking the heart icon\n    view |> element(\"div i\") |> render_click()\n\n    assert_renders_red_heart(view, dataset_id, with_banner: true)\n\n    # Dataset is now being followed\n    assert [%DB.DatasetFollower{dataset_id: ^dataset_id, contact_id: ^contact_id, source: :follow_button}] =\n             DB.DatasetFollower |> DB.Repo.all()\n\n    # Enqueued a job to promote the reuser space\n    assert [%Oban.Job{worker: \"Transport.Jobs.PromoteReuserSpaceJob\", args: %{\"contact_id\" => ^contact_id}}] =\n             all_enqueued()\n\n    # The user is subscribed to all reasons\n    assert [\n             %DB.NotificationSubscription{\n               reason: :daily_new_comments,\n               source: :user,\n               role: :reuser,\n               contact_id: ^contact_id,\n               dataset_id: nil\n             },\n             %DB.NotificationSubscription{\n               reason: :dataset_with_error,\n               source: :user,\n               role: :reuser,\n               contact_id: ^contact_id,\n               dataset_id: ^dataset_id\n             },\n             %DB.NotificationSubscription{\n               reason: :expiration,\n               source: :user,\n               role: :reuser,\n               contact_id: ^contact_id,\n               dataset_id: ^dataset_id\n             },\n             %DB.NotificationSubscription{\n               reason: :resource_unavailable,\n               source: :user,\n               role: :reuser,\n               contact_id: ^contact_id,\n               dataset_id: ^dataset_id\n             },\n             %DB.NotificationSubscription{\n               reason: :resources_changed,\n               source: :user,\n               role: :reuser,\n               contact_id: ^contact_id,\n               dataset_id: ^dataset_id\n             }\n           ] =\n             DB.NotificationSubscription\n             |> DB.Repo.all()\n             |> Enum.sort_by(fn %DB.NotificationSubscription{reason: reason} -> reason end)\n  end\n\n  test \"does not enqueue a job if the user already follows a dataset\", %{conn: conn} do\n    %DB.Dataset{id: dataset_id} = insert(:dataset)\n    %DB.Dataset{id: other_dataset_id} = insert(:dataset)\n    %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    insert(:dataset_follower, contact_id: contact_id, dataset_id: other_dataset_id, source: :follow_button)\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.FollowDatasetLive,\n        session: %{\n          \"locale\" => \"fr\",\n          \"dataset_id\" => dataset_id,\n          \"current_user\" => %{\"id\" => contact.datagouv_user_id}\n        }\n      )\n\n    assert_renders_grey_heart(view)\n\n    # Clicking the heart icon\n    view |> element(\"div i\") |> render_click()\n\n    assert_renders_red_heart(view, dataset_id, with_banner: true)\n\n    assert [] == all_enqueued()\n  end\n\n  test \"content is translated\", %{conn: conn} do\n    %DB.Dataset{id: dataset_id} = insert(:dataset)\n    insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.FollowDatasetLive,\n        session: %{\n          \"locale\" => \"en\",\n          \"dataset_id\" => dataset_id,\n          \"current_user\" => %{\"id\" => datagouv_user_id}\n        }\n      )\n\n    assert \"Follow this dataset\" ==\n             view |> render() |> Floki.parse_document!() |> Floki.find(\".tooltiptext\") |> Floki.text()\n  end\n\n  describe \"maybe_promote_reuser_space\" do\n    test \"enqueues a job if the user already follows a dataset but not through the button\" do\n      %DB.Dataset{id: dataset_id} = insert(:dataset)\n      %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      insert(:dataset_follower, contact_id: contact_id, dataset_id: dataset_id, source: :datagouv)\n\n      TransportWeb.Live.FollowDatasetLive.maybe_promote_reuser_space(contact)\n\n      assert [%Oban.Job{worker: \"Transport.Jobs.PromoteReuserSpaceJob\", args: %{\"contact_id\" => ^contact_id}}] =\n               all_enqueued()\n    end\n\n    test \"does not enqueue a job if the user already follows a dataset through the button\" do\n      %DB.Dataset{id: dataset_id} = insert(:dataset)\n      %DB.Contact{id: contact_id} = contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      insert(:dataset_follower, contact_id: contact_id, dataset_id: dataset_id, source: :follow_button)\n\n      TransportWeb.Live.FollowDatasetLive.maybe_promote_reuser_space(contact)\n\n      assert [] == all_enqueued()\n    end\n  end\n\n  describe \"maybe_subscribe_to_daily_new_comments\" do\n    test \"user not subscribed to daily comments, 0 subscriptions\" do\n      %DB.Contact{id: contact_id} = contact = insert_contact()\n      TransportWeb.Live.FollowDatasetLive.maybe_subscribe_to_daily_new_comments(contact)\n\n      assert [\n               %DB.NotificationSubscription{\n                 reason: :daily_new_comments,\n                 source: :user,\n                 role: :reuser,\n                 contact_id: ^contact_id,\n                 dataset_id: nil\n               }\n             ] = DB.NotificationSubscription |> DB.Repo.all()\n    end\n\n    test \"user is already subscribed to daily comments\" do\n      %DB.Contact{id: contact_id} = contact = insert_contact()\n\n      notification_subscription =\n        insert(:notification_subscription,\n          reason: :daily_new_comments,\n          role: :reuser,\n          source: :user,\n          contact_id: contact_id\n        )\n\n      TransportWeb.Live.FollowDatasetLive.maybe_subscribe_to_daily_new_comments(contact)\n      assert [notification_subscription] == DB.NotificationSubscription |> DB.Repo.all()\n    end\n\n    test \"user not subscribed to daily comments, an existing subscription\" do\n      %DB.Contact{id: contact_id} = contact = insert_contact()\n      %DB.Dataset{id: dataset_id} = insert(:dataset)\n\n      notification_subscription =\n        insert(:notification_subscription,\n          reason: :expiration,\n          role: :reuser,\n          source: :user,\n          contact_id: contact_id,\n          dataset_id: dataset_id\n        )\n\n      TransportWeb.Live.FollowDatasetLive.maybe_subscribe_to_daily_new_comments(contact)\n\n      assert [notification_subscription] == DB.NotificationSubscription |> DB.Repo.all()\n    end\n  end\n\n  defp assert_renders_logged_out_div(%Phoenix.LiveViewTest.View{} = view, with_banner: true) do\n    infos_url = page_path(TransportWeb.Endpoint, :infos_reutilisateurs)\n\n    assert [\n             {\"div\", _,\n              [\n                {\"div\", [{\"class\", \"follow-dataset-icon\"}],\n                 [\n                   {\"i\", [{\"class\", \"fa fa-heart fa-2x icon---animated-heart\"}, {\"phx-click\", \"nudge_signup\"}], []},\n                   {\n                     \"p\",\n                     [{\"class\", \"notification active\"}],\n                     [\n                       {\"a\", [{\"href\", ^infos_url}, {\"target\", \"_blank\"}], [\"Inscrivez-vous ou connectez-vous\"]},\n                       _\n                     ]\n                   }\n                 ]}\n              ]}\n           ] = view |> render() |> Floki.parse_document!()\n  end\n\n  defp assert_renders_logged_out_div(%Phoenix.LiveViewTest.View{} = view, with_banner: false) do\n    assert [\n             {\"div\", _,\n              [\n                {\"div\", [{\"class\", \"follow-dataset-icon\"}],\n                 [\n                   {\"i\", [{\"class\", \"fa fa-heart fa-2x icon---animated-heart\"}, {\"phx-click\", \"nudge_signup\"}], []}\n                 ]}\n              ]}\n           ] = view |> render() |> Floki.parse_document!()\n  end\n\n  defp assert_renders_manage_settings_div(%Phoenix.LiveViewTest.View{} = view, dataset_id) do\n    producer_space_url =\n      espace_producteur_path(TransportWeb.Endpoint, :edit_dataset, dataset_id, utm_campaign: \"follow_dataset_heart\")\n\n    assert [\n             {\"div\", _,\n              [\n                {\"div\", [{\"class\", \"follow-dataset-icon\"}],\n                 [\n                   {\"div\", [{\"class\", \"tooltip\"}],\n                    [\n                      {\"a\", [{\"href\", ^producer_space_url}, {\"target\", \"_blank\"}],\n                       [{\"i\", [{\"class\", \"fa fa-heart fa-2x producer\"}], []}]},\n                      {\"span\", [{\"class\", \"tooltiptext left\"}], [\"Gérez votre jeu de données\"]}\n                    ]}\n                 ]}\n              ]}\n           ] = view |> render() |> Floki.parse_document!()\n  end\n\n  defp assert_renders_grey_heart(%Phoenix.LiveViewTest.View{} = view) do\n    assert [\n             {\"div\", _,\n              [\n                {\n                  \"div\",\n                  [{\"class\", \"follow-dataset-icon\"}],\n                  [\n                    {\n                      \"div\",\n                      [{\"class\", \"tooltip\"}],\n                      [\n                        {\"i\", [{\"class\", \"fa fa-heart fa-2x icon---animated-heart\"}, {\"phx-click\", \"follow\"}], []},\n                        {\"span\", [{\"class\", \"tooltiptext left\"}], [\"Suivre ce jeu de données\"]}\n                      ]\n                    }\n                  ]\n                }\n              ]}\n           ] = view |> render() |> Floki.parse_document!()\n  end\n\n  defp assert_renders_red_heart(%Phoenix.LiveViewTest.View{} = view, dataset_id, with_banner: true) do\n    reuser_space_url =\n      reuser_space_path(TransportWeb.Endpoint, :datasets_edit, dataset_id, utm_campaign: \"follow_dataset_heart\")\n\n    assert [\n             {\"div\", _,\n              [\n                {\n                  \"div\",\n                  [{\"class\", \"follow-dataset-icon\"}],\n                  [\n                    {\n                      \"div\",\n                      [{\"class\", \"tooltip\"}],\n                      [\n                        {\"a\", [{\"href\", ^reuser_space_url}, {\"target\", \"_blank\"}],\n                         [{\"i\", [{\"class\", \"fa fa-heart fa-2x icon---animated-heart active\"}], []}]},\n                        {\"span\", [{\"class\", \"tooltiptext left\"}], [\"Gérez les services liés à ce jeu de données\"]}\n                      ]\n                    },\n                    {\n                      \"p\",\n                      [{\"class\", \"notification active\"}],\n                      [\n                        \"\\n    Jeu de données ajouté à vos favoris ! Personnalisez vos préférences depuis votre \",\n                        {\"a\", [{\"href\", ^reuser_space_url}, {\"target\", \"_blank\"}], [\"espace réutilisateur\"]},\n                        \".\\n  \"\n                      ]\n                    }\n                  ]\n                }\n              ]}\n           ] = view |> render() |> Floki.parse_document!()\n  end\n\n  defp assert_renders_red_heart(%Phoenix.LiveViewTest.View{} = view, dataset_id, with_banner: false) do\n    reuser_space_url =\n      reuser_space_path(TransportWeb.Endpoint, :datasets_edit, dataset_id, utm_campaign: \"follow_dataset_heart\")\n\n    assert [\n             {\"div\", _,\n              [\n                {\n                  \"div\",\n                  [{\"class\", \"follow-dataset-icon\"}],\n                  [\n                    {\n                      \"div\",\n                      [{\"class\", \"tooltip\"}],\n                      [\n                        {\"a\", [{\"href\", ^reuser_space_url}, {\"target\", \"_blank\"}],\n                         [{\"i\", [{\"class\", \"fa fa-heart fa-2x icon---animated-heart active\"}], []}]},\n                        {\"span\", [{\"class\", \"tooltiptext left\"}], [\"Gérez les services liés à ce jeu de données\"]}\n                      ]\n                    }\n                  ]\n                }\n              ]}\n           ] = view |> render() |> Floki.parse_document!()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/gtfs_diff_explain_test.exs",
    "content": "defmodule TransportWeb.GtfsDiffExplainTest do\n  use ExUnit.Case, async: true\n  doctest TransportWeb.GTFSDiffExplain.Explanations, import: true\n  doctest TransportWeb.GTFSDiffExplain.Summary, import: true\n  alias TransportWeb.GTFSDiffExplain\n\n  test \"gtfs diff explanations\" do\n    diff = [\n      %{\n        \"action\" => \"add\",\n        \"file\" => \"agency.txt\",\n        \"target\" => \"file\"\n      },\n      %{\n        \"action\" => \"delete\",\n        \"file\" => \"fares.txt\",\n        \"target\" => \"file\"\n      },\n      %{\n        \"action\" => \"update\",\n        \"file\" => \"stops.txt\",\n        \"identifier\" => \"{\\\"stop_id\\\":\\\"3000055\\\"}\",\n        \"initial_value\" => \"{\\\"stop_name\\\":\\\"Hôpital\\\", \\\"stop_lat\\\":\\\"46.605513\\\", \\\"stop_lon\\\":\\\"0.275126\\\"}\",\n        \"new_value\" => \"{\\\"stop_name\\\":\\\"Hôpital Arnauzand\\\", \\\"stop_lat\\\":\\\"46.605348\\\", \\\"stop_lon\\\":\\\"0.275881\\\"}\",\n        \"target\" => \"row\"\n      },\n      %{\n        \"action\" => \"update\",\n        \"file\" => \"stops.txt\",\n        \"identifier\" => \"{\\\"stop_id\\\":\\\"4000055\\\"}\",\n        \"initial_value\" => \"{\\\"stop_lat\\\":\\\"47.632\\\", \\\"stop_lon\\\":\\\"6.114208\\\"}\",\n        \"new_value\" => \"{\\\"stop_lat\\\":\\\"47.632\\\", \\\"stop_lon\\\":\\\"6.1142\\\"}\",\n        \"target\" => \"row\"\n      },\n      %{\n        \"action\" => \"update\",\n        \"file\" => \"stops.txt\",\n        \"identifier\" => \"{\\\"stop_id\\\":\\\"100\\\"}\",\n        \"initial_value\" => \"{\\\"wheelchair_boarding\\\":\\\"0\\\", \\\"location_type\\\": \\\"0\\\"}\",\n        \"new_value\" => \"{\\\"wheelchair_boarding\\\":\\\"1\\\", \\\"location_type\\\": \\\"1\\\"}\",\n        \"target\" => \"row\"\n      },\n      %{\n        \"action\" => \"update\",\n        \"file\" => \"routes.txt\",\n        \"identifier\" => \"{\\\"route_id\\\":\\\"146\\\"}\",\n        \"initial_value\" =>\n          \"{\\\"route_color\\\":\\\"5C2483\\\", \\\"route_text_color\\\":\\\"FFFFFF\\\", \\\"route_short_name\\\":\\\"30\\\", \\\"route_long_name\\\":\\\"Migné Rochereaux-Laborit/Mignaloux\\\", \\\"route_type\\\":\\\"0\\\"}\",\n        \"new_value\" =>\n          \"{\\\"route_color\\\":\\\"0000B0\\\", \\\"route_text_color\\\":\\\"000000\\\", \\\"route_short_name\\\":\\\"TER\\\", \\\"route_long_name\\\":\\\"Migné Rochereaux-Laborit / Mignaloux\\\", \\\"route_type\\\":\\\"1\\\"}\",\n        \"target\" => \"row\"\n      },\n      %{\n        \"action\" => \"update\",\n        \"file\" => \"routes.txt\",\n        \"identifier\" => \"{\\\"route_id\\\":\\\"147\\\"}\",\n        \"initial_value\" => \"{\\\"route_color\\\":\\\"5c2483\\\", \\\"route_text_color\\\":\\\"ffffff\\\"}\",\n        \"new_value\" => \"{\\\"route_color\\\":\\\"5C2483\\\", \\\"route_text_color\\\":\\\"FFFFFF\\\"}\",\n        \"target\" => \"row\"\n      },\n      %{\n        \"action\" => \"update\",\n        \"file\" => \"agency.txt\",\n        \"identifier\" => \"{\\\"agency_id\\\":\\\"1\\\"}\",\n        \"initial_value\" => \"{\\\"agency_url\\\":\\\"http://localhost/foo\\\"}\",\n        \"new_value\" => \"{\\\"agency_url\\\":\\\"http://localhost/bar\\\"}\",\n        \"target\" => \"row\"\n      },\n      %{\n        \"action\" => \"update\",\n        \"file\" => \"agency.txt\",\n        \"identifier\" => \"{\\\"agency_id\\\":\\\"1\\\"}\",\n        \"initial_value\" => ~s|{\"agency_fare_url\":\"\",\"agency_phone\":\"\"}|,\n        \"new_value\" => ~s|{\"agency_fare_url\":\"https://example.com/tarifs\",\"agency_phone\":\"0123456\"}|,\n        \"target\" => \"row\"\n      },\n      %{\n        \"action\" => \"update\",\n        \"file\" => \"trips.txt\",\n        \"identifier\" => \"{\\\"trip_id\\\":\\\"1\\\"}\",\n        \"initial_value\" => \"{\\\"trip_headsign\\\":\\\"Foo\\\"}\",\n        \"new_value\" => \"{\\\"trip_headsign\\\":\\\"Bar\\\"}\",\n        \"target\" => \"row\"\n      }\n    ]\n\n    assert MapSet.new([\n             %{\n               file: \"stops.txt\",\n               type: \"stop_position\",\n               message: \"L’arrêt 3000055 a été déplacé de 61m\",\n               before: \"(46.605513, 0.275126)\",\n               after: \"(46.605348, 0.275881)\",\n               sort_key: -61\n             },\n             %{\n               file: \"stops.txt\",\n               type: \"stop_name\",\n               message: \"L’arrêt 3000055 a été renommé\",\n               before: \"Hôpital\",\n               after: \"Hôpital Arnauzand\",\n               sort_key: \"Hôpital\"\n             },\n             %{\n               file: \"stops.txt\",\n               type: \"wheelchair_boarding\",\n               message: \"L’information d’accessibilité wheelchair_boarding a été modifiée pour l’arrêt 100\",\n               before: \"0\",\n               after: \"1\",\n               sort_key: \"100\"\n             },\n             %{\n               file: \"routes.txt\",\n               type: \"route_text_color\",\n               message: \"La couleur de texte de la route 146 a été modifiée\",\n               before: \"#FFFFFF\",\n               after: \"#000000\",\n               sort_key: \"146\"\n             },\n             %{\n               file: \"routes.txt\",\n               type: \"route_color\",\n               message: \"La couleur de la route 146 a été modifiée\",\n               before: \"#5C2483\",\n               after: \"#0000B0\",\n               sort_key: \"146\"\n             },\n             %{\n               file: \"routes.txt\",\n               type: \"route_long_name\",\n               message: \"Le nom long de la route 146 a été modifié\",\n               before: \"Migné Rochereaux-Laborit/Mignaloux\",\n               after: \"Migné Rochereaux-Laborit / Mignaloux\",\n               sort_key: \"146\"\n             },\n             %{\n               file: \"routes.txt\",\n               type: \"route_short_name\",\n               message: \"Le nom court de la route 146 a été modifié\",\n               before: \"30\",\n               after: \"TER\",\n               sort_key: \"146\"\n             },\n             %{\n               file: \"routes.txt\",\n               type: \"route_type\",\n               message: \"Le type de la route 146 a été modifié\",\n               before: \"0\",\n               after: \"1\",\n               sort_key: \"146\"\n             },\n             %{\n               file: \"stops.txt\",\n               type: \"location_type\",\n               message: \"Le type de lieu pour l’arrêt 100 a été modifié\",\n               before: \"0\",\n               after: \"1\",\n               sort_key: \"100\"\n             },\n             %{\n               file: \"agency.txt\",\n               type: \"agency_url\",\n               message: \"L’URL de l’entité 1 a été modifiée\",\n               before: \"http://localhost/foo\",\n               after: \"http://localhost/bar\",\n               sort_key: \"1\"\n             },\n             %{\n               file: \"agency.txt\",\n               type: \"agency_phone\",\n               message: \"Le téléphone de l’entité 1 a été modifié\",\n               before: \"\",\n               after: \"0123456\",\n               sort_key: \"1\"\n             },\n             %{\n               file: \"agency.txt\",\n               type: \"agency_fare_url\",\n               message: \"L’URL des tarifs de l’entité 1 a été modifiée\",\n               before: \"\",\n               after: \"https://example.com/tarifs\",\n               sort_key: \"1\"\n             },\n             %{\n               file: \"trips.txt\",\n               type: \"trip_headsign\",\n               message: \"Le panneau de destination du trajet 1 a été modifié\",\n               before: \"Foo\",\n               after: \"Bar\",\n               sort_key: \"1\"\n             }\n           ]) == GTFSDiffExplain.diff_explanations(diff) |> MapSet.new()\n  end\n\n  test \"structural changes\" do\n    diff =\n      [\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"agency.txt\",\n          \"target\" => \"file\"\n        },\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"agency.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"agency_id\\\"}\"\n        },\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"agency.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"agency_name\\\"}\"\n        },\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"calendar.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"start_date\\\"}\"\n        },\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"calendar.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"end_date\\\"}\"\n        },\n        %{\n          \"action\" => \"add\",\n          \"file\" => \"calendar.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"monday\\\"}\"\n        },\n        %{\n          \"action\" => \"add\",\n          \"file\" => \"stop_times.txt\",\n          \"target\" => \"row\"\n        },\n        %{\n          \"action\" => \"add\",\n          \"file\" => \"trips.txt\",\n          \"target\" => \"file\"\n        },\n        %{\n          \"action\" => \"add\",\n          \"file\" => \"trips.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"route_id\\\"}\"\n        },\n        %{\n          \"action\" => \"add\",\n          \"file\" => \"trips.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"service_id\\\"}\"\n        }\n      ]\n\n    assert %{\n             \"agency.txt\" => [\n               {:deleted_columns, [\"agency_id\", \"agency_name\"]},\n               :deleted_file\n             ],\n             \"calendar.txt\" => [\n               {:added_columns, [\"monday\"]},\n               {:deleted_columns, [\"end_date\", \"start_date\"]}\n             ],\n             \"trips.txt\" => [\n               {:added_columns, [\"route_id\", \"service_id\"]},\n               :added_file\n             ]\n           } == GTFSDiffExplain.structural_changes(diff)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/gtfs_diff_select_live_test.exs",
    "content": "defmodule TransportWeb.Live.GTFSDiffSelectLiveTest do\n  use ExUnit.Case, async: true\n  import Phoenix.LiveViewTest\n  doctest TransportWeb.Live.GTFSDiffSelectLive, import: true\n  doctest TransportWeb.Live.GTFSDiffSelectLive.Differences, import: true\n  doctest TransportWeb.Live.GTFSDiffSelectLive.Setup, import: true\n\n  alias TransportWeb.GTFSDiffExplain\n  alias TransportWeb.Live.GTFSDiffSelectLive.Results\n\n  describe \"results\" do\n    test \"display results for similar GTFS files\" do\n      gtfs_original_file_name_1 = \"base.zip\"\n      gtfs_original_file_name_2 = \"modified.zip\"\n\n      results = %{\n        context: %{\n          \"gtfs_original_file_name_1\" => gtfs_original_file_name_1,\n          \"gtfs_original_file_name_2\" => gtfs_original_file_name_2\n        },\n        diff_file_url: \"http://localhost:5000/gtfs-diff.csv\",\n        diff_summary: %{},\n        structural_changes: []\n      }\n\n      html = render_results(error_msg: nil, profile: \"core\", results: results)\n\n      assert html |> Floki.find(\"p:nth-child(3)\") |> Floki.text() ==\n               \"Les fichier GTFS #{gtfs_original_file_name_2} et #{gtfs_original_file_name_1} sont similaires.\"\n\n      assert html |> Floki.find(\"div.dashboard\") == []\n    end\n\n    test \"display results for different GTFS files\" do\n      gtfs_original_file_name_1 = \"base.zip\"\n      gtfs_original_file_name_2 = \"modified.zip\"\n\n      diff = [\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"agency.txt\",\n          \"target\" => \"file\"\n        },\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"agency.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"agency_id\\\"}\"\n        },\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"agency.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"agency_name\\\"}\"\n        },\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"agency.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"extra_column\\\"}\"\n        },\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"calendar.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"start_date\\\"}\"\n        },\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"calendar.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"end_date\\\"}\"\n        },\n        %{\n          \"action\" => \"add\",\n          \"file\" => \"calendar.txt\",\n          \"target\" => \"column\",\n          \"identifier\" => \"{\\\"column\\\": \\\"monday\\\"}\"\n        },\n        %{\n          \"action\" => \"add\",\n          \"file\" => \"stop_times.txt\",\n          \"target\" => \"row\"\n        },\n        %{\n          \"action\" => \"update\",\n          \"file\" => \"stops.txt\",\n          \"identifier\" => \"{\\\"stop_id\\\":\\\"3000055\\\"}\",\n          \"initial_value\" => \"{\\\"stop_name\\\":\\\"Hôpital\\\"}\",\n          \"new_value\" => \"{\\\"stop_name\\\":\\\"Hôpital Arnauzand\\\"}\",\n          \"target\" => \"row\"\n        },\n        %{\n          \"action\" => \"update\",\n          \"file\" => \"stops.txt\",\n          \"identifier\" => \"{\\\"stop_id\\\":\\\"100\\\"}\",\n          \"initial_value\" => \"{\\\"wheelchair_boarding\\\":\\\"0\\\"}\",\n          \"new_value\" => \"{\\\"wheelchair_boarding\\\":\\\"1\\\"}\",\n          \"target\" => \"row\"\n        },\n        %{\n          \"action\" => \"delete\",\n          \"file\" => \"feed_info.txt\",\n          \"target\" => \"file\"\n        }\n      ]\n\n      diff_summary = diff |> GTFSDiffExplain.diff_summary()\n      diff_explanations = diff |> GTFSDiffExplain.diff_explanations() |> drop_empty()\n      structural_changes = diff |> GTFSDiffExplain.structural_changes()\n\n      results = %{\n        context: %{\n          \"gtfs_original_file_name_1\" => gtfs_original_file_name_1,\n          \"gtfs_original_file_name_2\" => gtfs_original_file_name_2\n        },\n        diff_file_url: \"http://localhost:5000/gtfs-diff.csv\",\n        diff_summary: diff_summary,\n        diff_explanations: diff_explanations,\n        structural_changes: structural_changes\n      }\n\n      html = render_results(error_msg: nil, profile: \"core\", results: results)\n\n      assert html |> Floki.find(\"div.panel > p:nth-child(3)\") |> Floki.text() ==\n               \"Le fichier GTFS #{gtfs_original_file_name_2} comporte les différences ci-dessous par rapport au fichier GTFS #{gtfs_original_file_name_1} :\"\n\n      navigation = html |> Floki.find(\"div.dashboard aside\")\n\n      files = [\n        \"agency.txt\",\n        \"stops.txt\",\n        \"stop_times.txt\",\n        \"calendar.txt\",\n        \"feed_info.txt\"\n      ]\n\n      assert navigation |> Floki.find(\"a\") |> texts == files\n\n      assert navigation |> Floki.find(\"a.active\") |> Floki.text() == \"agency.txt\"\n\n      selected_file_details = html |> Floki.find(\"div.dashboard div.main\")\n      assert selected_file_details |> Floki.find(\"h4\") |> texts == [\"agency.txt\"]\n\n      assert selected_file_details |> Floki.find(\"ul li\") |> texts == [\n               \"agency_id\",\n               \"agency_name\",\n               \"extra_column colonne non standard\"\n             ]\n\n      files\n      |> Enum.each(fn selected_file ->\n        results = Map.put(results, :selected_file, selected_file)\n\n        render_results(error_msg: nil, profile: \"core\", results: results)\n      end)\n    end\n  end\n\n  defp texts(html_tuples) do\n    Enum.map(html_tuples, fn tuple ->\n      tuple |> Floki.text() |> clean_whitespaces()\n    end)\n  end\n\n  defp clean_whitespaces(text) do\n    text\n    |> String.trim()\n    |> String.replace(~r/\\s+/, \" \")\n  end\n\n  defp render_results(args) do\n    render_component(&Results.results_step/1, args)\n    |> Floki.parse_document!()\n    |> Floki.find(\"div#gtfs-diff-results\")\n  end\n\n  defp drop_empty([]), do: nil\n  defp drop_empty(otherwise), do: otherwise\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/notifications_live_test.exs",
    "content": "defmodule TransportWeb.Live.NotificationsLiveTest do\n  use TransportWeb.ConnCase, async: true\n  use TransportWeb.LiveCase\n  import DB.Factory\n  import Ecto.Query\n  import Mox\n  import Phoenix.LiveViewTest\n\n  @producer_url espace_producteur_path(TransportWeb.Endpoint, :notifications)\n  @reuser_url reuser_space_path(TransportWeb.Endpoint, :notifications)\n\n  @dataset_notifications_path ~s|form table[data-content=\"dataset-notifications\"]|\n  @platform_wide_path ~s|div[data-content=\"platform-wide-notifications\"] form table|\n\n  setup :verify_on_exit!\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"requires login\" do\n    test \"as a producer\", %{conn: conn} do\n      conn = conn |> get(@producer_url)\n      assert redirected_to(conn, 302) == page_path(conn, :infos_producteurs)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Vous devez être préalablement connecté\"\n    end\n\n    test \"as a reuser\", %{conn: conn} do\n      conn = conn |> get(@reuser_url)\n      assert redirected_to(conn, 302) == page_path(conn, :infos_reutilisateurs)\n      assert Phoenix.Flash.get(conn.assigns.flash, :info) =~ \"Vous devez être préalablement connecté\"\n    end\n  end\n\n  test \"displays existing subscriptions for a producer\", %{conn: conn} do\n    %DB.Organization{id: organization_id} = insert(:organization)\n\n    %DB.Dataset{id: dataset_id, organization_id: ^organization_id} =\n      insert(:dataset, custom_title: \"Mon super JDD\", organization_id: organization_id)\n\n    other_dataset = insert(:dataset)\n\n    %DB.Contact{id: contact_id} =\n      insert_contact(%{\n        datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n        organizations: [%{id: organization_id}]\n      })\n\n    other_contact = insert_contact()\n\n    insert_admin()\n\n    %DB.NotificationSubscription{id: subscription_id} =\n      insert(:notification_subscription,\n        contact_id: contact_id,\n        dataset_id: dataset_id,\n        reason: :expiration,\n        role: :producer,\n        source: :user\n      )\n\n    # Ignored: another dataset\n    insert(:notification_subscription,\n      contact_id: contact_id,\n      dataset_id: other_dataset.id,\n      reason: :dataset_with_error,\n      role: :reuser,\n      source: :user\n    )\n\n    # Ignored: another contact\n    insert(:notification_subscription,\n      contact_id: other_contact.id,\n      dataset_id: dataset_id,\n      reason: :dataset_with_error,\n      role: :reuser,\n      source: :user\n    )\n\n    # This notification shouldn’t exist as the reason isn’t a producer one, but is there in database\n    # It should be filtered out\n    insert(:notification_subscription,\n      contact_id: contact_id,\n      dataset_id: dataset_id,\n      reason: :resources_changed,\n      role: :producer,\n      source: :user\n    )\n\n    Datagouvfr.Client.User.Mock\n    |> expect(:me, fn _ -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n    conn = conn |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}, datagouv_token: %{}})\n    content = conn |> get(@producer_url) |> html_response(200)\n    assert content =~ \"Mon super JDD\"\n\n    doc = content |> Floki.parse_document!()\n\n    [{\"input\", switch_attr, []}] =\n      doc\n      |> Floki.find(\"#{@dataset_notifications_path} tr td .form__group fieldset .switch input\")\n      |> Floki.find(\"[value=true]\")\n      |> Floki.find(\"[checked=checked]\")\n\n    switch_attr = Map.new(switch_attr)\n\n    assert [\"expiration_#{dataset_id}\", Integer.to_string(dataset_id), Integer.to_string(subscription_id)] ==\n             [switch_attr[\"id\"], switch_attr[\"phx-value-dataset-id\"], switch_attr[\"phx-value-subscription-id\"]]\n\n    # Platform-wide subscriptions are not displayed\n    assert [] == doc |> Floki.find(@platform_wide_path)\n  end\n\n  test \"displays existing subscriptions for a reuser\", %{conn: conn} do\n    %DB.Dataset{id: dataset_id} = insert(:dataset, custom_title: custom_title = \"Mon super JDD\")\n    other_dataset = insert(:dataset)\n\n    %DB.Contact{id: contact_id} = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n    other_contact = insert_contact()\n\n    insert(:dataset_follower, contact_id: contact_id, dataset_id: dataset_id, source: :follow_button)\n\n    %DB.NotificationSubscription{id: subscription_id} =\n      insert(:notification_subscription,\n        contact_id: contact_id,\n        dataset_id: dataset_id,\n        reason: :expiration,\n        role: :reuser,\n        source: :user\n      )\n\n    # Ignored: another dataset\n    insert(:notification_subscription,\n      contact_id: contact_id,\n      dataset_id: other_dataset.id,\n      reason: :dataset_with_error,\n      role: :reuser,\n      source: :user\n    )\n\n    # Ignored: another contact\n    insert(:notification_subscription,\n      contact_id: other_contact.id,\n      dataset_id: dataset_id,\n      reason: :dataset_with_error,\n      role: :reuser,\n      source: :user\n    )\n\n    # Platform-wide reason\n    insert(:notification_subscription,\n      contact_id: contact_id,\n      dataset_id: nil,\n      reason: :daily_new_comments,\n      role: :reuser,\n      source: :user\n    )\n\n    Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n    content =\n      conn\n      |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n      |> get(@reuser_url)\n      |> html_response(200)\n\n    assert content =~ custom_title\n\n    [{\"input\", switch_attr, []}] =\n      content\n      |> Floki.parse_document!()\n      |> Floki.find(\"#{@dataset_notifications_path} tr td .form__group fieldset .switch input\")\n      |> Floki.find(\"[value=true]\")\n      |> Floki.find(\"[checked=checked]\")\n\n    switch_attr = Map.new(switch_attr)\n\n    assert [\"expiration_#{dataset_id}\", Integer.to_string(dataset_id), Integer.to_string(subscription_id)] ==\n             [switch_attr[\"id\"], switch_attr[\"phx-value-dataset-id\"], switch_attr[\"phx-value-subscription-id\"]]\n\n    # Platform-wide subscription switches\n    assert [\n             {\"input\", [{\"name\", \"daily_new_comments\"}, {\"type\", \"hidden\"}, {\"value\", \"false\"}], []},\n             {\"input\",\n              [\n                {\"checked\", \"checked\"},\n                {\"id\", \"daily_new_comments\"},\n                {\"name\", \"daily_new_comments\"},\n                {\"phx-click\", \"toggle\"},\n                {\"phx-value-action\", \"turn_off\"},\n                {\"phx-value-reason\", \"daily_new_comments\"},\n                {\"type\", \"checkbox\"},\n                {\"value\", \"true\"}\n              ], []},\n             {\"input\", [{\"name\", \"new_dataset\"}, {\"type\", \"hidden\"}, {\"value\", \"false\"}], []},\n             {\"input\",\n              [\n                {\"id\", \"new_dataset\"},\n                {\"name\", \"new_dataset\"},\n                {\"phx-click\", \"toggle\"},\n                {\"phx-value-action\", \"turn_on\"},\n                {\"phx-value-reason\", \"new_dataset\"},\n                {\"type\", \"checkbox\"},\n                {\"value\", \"true\"}\n              ], []}\n           ] ==\n             content\n             |> Floki.parse_document!()\n             |> Floki.find(\"#{@platform_wide_path} tr td .form__group fieldset .switch input\")\n  end\n\n  test \"displays an error message if we can’t retrieve user orgs (and thus datasets) through data.gouv.fr\", %{\n    conn: conn\n  } do\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    Datagouvfr.Client.User.Mock\n    |> expect(:me, fn _ -> {:error, %HTTPoison.Error{reason: :nxdomain, id: nil}} end)\n\n    conn = conn |> init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}, datagouv_token: %{}})\n    content = conn |> get(@producer_url) |> html_response(200)\n    assert content =~ \"Une erreur a eu lieu lors de la récupération de vos ressources\"\n  end\n\n  describe \"toggle on and then off a notification\" do\n    test \"for a producer\", %{conn: conn} do\n      %DB.Organization{id: organization_id} = insert(:organization)\n\n      %DB.Dataset{id: dataset_id, organization_id: ^organization_id} =\n        insert(:dataset, custom_title: \"Mon super JDD\", organization_id: organization_id)\n\n      %DB.Contact{id: contact_id} =\n        insert_contact(%{\n          datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n          organizations: [%{id: organization_id}]\n        })\n\n      insert_admin()\n\n      conn = conn |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}, datagouv_token: %{}})\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, 2, fn _ -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n      {:ok, view, _html} = conn |> get(@producer_url) |> live()\n\n      assert [] = DB.NotificationSubscription |> DB.Repo.all()\n\n      render_change(view, :toggle, %{\n        \"dataset-id\" => dataset_id,\n        \"subscription-id\" => \"\",\n        \"reason\" => \"expiration\",\n        \"action\" => \"turn_on\"\n      })\n\n      assert [\n               %DB.NotificationSubscription{\n                 contact_id: ^contact_id,\n                 dataset_id: ^dataset_id,\n                 source: :user,\n                 role: :producer,\n                 reason: :expiration,\n                 id: subscription_id\n               }\n             ] = DB.NotificationSubscription |> DB.Repo.all()\n\n      render_change(view, :toggle, %{\n        \"dataset-id\" => dataset_id,\n        \"subscription-id\" => subscription_id,\n        \"reason\" => \"expiration\",\n        \"action\" => \"turn_off\"\n      })\n\n      assert [] = DB.NotificationSubscription |> DB.Repo.all()\n    end\n\n    test \"for a reuser\", %{conn: conn} do\n      %DB.Dataset{id: dataset_id} = insert(:dataset)\n      %DB.Contact{id: contact_id} = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n      insert(:dataset_follower, contact_id: contact_id, dataset_id: dataset_id, source: :follow_button)\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn _datagouv_id -> [] end)\n\n      {:ok, view, _html} =\n        conn |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}}) |> get(@reuser_url) |> live()\n\n      assert [] = DB.NotificationSubscription |> DB.Repo.all()\n\n      content =\n        render_change(view, :toggle, %{\n          \"dataset-id\" => dataset_id,\n          \"subscription-id\" => \"\",\n          \"reason\" => \"expiration\",\n          \"action\" => \"turn_on\"\n        })\n\n      assert [\n               %{\"name\" => \"daily_new_comments\", \"phx-value-action\" => \"turn_on\"},\n               %{\"name\" => \"new_dataset\", \"phx-value-action\" => \"turn_on\"}\n             ]\n             |> MapSet.new() == dom_platform_wide_reasons(content)\n\n      assert [\n               %DB.NotificationSubscription{\n                 contact_id: ^contact_id,\n                 dataset_id: ^dataset_id,\n                 source: :user,\n                 role: :reuser,\n                 reason: :expiration,\n                 id: subscription_id\n               }\n             ] = DB.NotificationSubscription |> DB.Repo.all()\n\n      content =\n        render_change(view, :toggle, %{\n          \"dataset-id\" => dataset_id,\n          \"subscription-id\" => subscription_id,\n          \"reason\" => \"expiration\",\n          \"action\" => \"turn_off\"\n        })\n\n      assert [\n               %{\"name\" => \"daily_new_comments\", \"phx-value-action\" => \"turn_on\"},\n               %{\"name\" => \"new_dataset\", \"phx-value-action\" => \"turn_on\"}\n             ]\n             |> MapSet.new() == dom_platform_wide_reasons(content)\n\n      assert [] = DB.NotificationSubscription |> DB.Repo.all()\n    end\n\n    test \"platform-wide reason for a reuser\", %{conn: conn} do\n      %DB.Contact{id: contact_id} = insert_contact(%{datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()})\n\n      {:ok, view, _html} =\n        conn |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}}) |> get(@reuser_url) |> live()\n\n      assert [] = DB.NotificationSubscription |> DB.Repo.all()\n\n      content =\n        render_change(view, :toggle, %{\"reason\" => \"new_dataset\", \"action\" => \"turn_on\"})\n\n      assert [\n               %{\"name\" => \"daily_new_comments\", \"phx-value-action\" => \"turn_on\"},\n               %{\"name\" => \"new_dataset\", \"phx-value-action\" => \"turn_off\"}\n             ]\n             |> MapSet.new() == dom_platform_wide_reasons(content)\n\n      assert [\n               %DB.NotificationSubscription{\n                 contact_id: ^contact_id,\n                 dataset_id: nil,\n                 source: :user,\n                 role: :reuser,\n                 reason: :new_dataset\n               }\n             ] = DB.NotificationSubscription |> DB.Repo.all()\n\n      content = render_change(view, :toggle, %{\"reason\" => \"new_dataset\", \"action\" => \"turn_off\"})\n\n      assert [\n               %{\"name\" => \"daily_new_comments\", \"phx-value-action\" => \"turn_on\"},\n               %{\"name\" => \"new_dataset\", \"phx-value-action\" => \"turn_on\"}\n             ]\n             |> MapSet.new() == dom_platform_wide_reasons(content)\n\n      assert [] = DB.NotificationSubscription |> DB.Repo.all()\n    end\n  end\n\n  test \"only have correct colleague notifications showing\", %{conn: conn} do\n    %DB.Organization{id: organization_id} = insert(:organization)\n    %DB.Organization{id: foreign_organization_id} = insert(:organization)\n\n    %DB.Dataset{id: dataset_id, organization_id: ^organization_id} =\n      insert(:dataset, custom_title: \"Mon super JDD\", organization_id: organization_id)\n\n    %DB.Contact{id: _contact_id} =\n      insert_contact(%{\n        datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n        organizations: [%{id: organization_id}]\n      })\n\n    %DB.Contact{id: contact_id_2} =\n      insert_contact(%{first_name: \"Marina\", last_name: \"Loiseau\", organizations: [%{id: organization_id}]})\n\n    %DB.Contact{id: mailing_list_id} =\n      insert_contact(%{\n        first_name: \"\",\n        last_name: \"\",\n        mailing_list_title: \"Liste de diffusion service transport\",\n        organizations: [%{id: organization_id}]\n      })\n\n    %DB.Contact{id: contact_id_3} =\n      insert_contact(%{first_name: \"Henri\", last_name: \"Duflot\", organizations: [%{id: organization_id}]})\n\n    %DB.Contact{id: foreign_contact} =\n      insert_contact(%{first_name: \"Mikhaïl\", last_name: \"Karlov\", organizations: [%{id: foreign_organization_id}]})\n\n    insert_admin()\n\n    # Should show, normal colleague\n    insert(:notification_subscription,\n      contact_id: contact_id_2,\n      dataset_id: dataset_id,\n      reason: :expiration,\n      role: :producer,\n      source: :admin\n    )\n\n    # Here our team subscribed also a mailing list, should show\n    insert(:notification_subscription,\n      contact_id: mailing_list_id,\n      dataset_id: dataset_id,\n      reason: :expiration,\n      role: :producer,\n      source: :admin\n    )\n\n    # We subscribed a foreign contact, this should show as well.\n    # We’re ok with that: we suscribe people from other orgs to our datasets but we want producers to know it.\n    # This is because they’re kind of colleagues – it may be the operator vs transport authority.\n    insert(:notification_subscription,\n      contact_id: foreign_contact,\n      dataset_id: dataset_id,\n      reason: :expiration,\n      role: :producer,\n      source: :user\n    )\n\n    # This is a trap: it’s a reuser notification\n    insert(:notification_subscription,\n      contact_id: contact_id_3,\n      dataset_id: dataset_id,\n      reason: :expiration,\n      role: :reuser,\n      source: :user\n    )\n\n    Datagouvfr.Client.User.Mock\n    |> expect(:me, fn _ -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n    conn = conn |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}, datagouv_token: %{}})\n    content = conn |> get(@producer_url) |> html_response(200)\n    assert content =~ \"Autres abonnés : Liste de diffusion service transport, Marina Loiseau, Mikhaïl Karlov\"\n    refute content =~ \"Henri Duflot\"\n  end\n\n  test \"toggle all on and off\", %{conn: conn} do\n    %DB.Organization{id: organization_id} = insert(:organization)\n\n    %DB.Dataset{id: dataset_id_1, organization_id: ^organization_id} =\n      insert(:dataset, custom_title: \"Mon super JDD\", organization_id: organization_id)\n\n    %DB.Dataset{id: dataset_id_2, organization_id: ^organization_id} =\n      insert(:dataset, custom_title: \"Mon autre JDD\", organization_id: organization_id)\n\n    %DB.Contact{id: contact_id} =\n      insert_contact(%{\n        datagouv_user_id: datagouv_user_id = Ecto.UUID.generate(),\n        organizations: [%{id: organization_id}]\n      })\n\n    insert_admin()\n\n    # Let’s have at least one subscription in base\n    notification =\n      %DB.NotificationSubscription{\n        contact_id: ^contact_id,\n        dataset_id: ^dataset_id_1,\n        reason: :expiration,\n        role: :producer,\n        source: :user\n      } =\n      insert(\n        :notification_subscription,\n        contact_id: contact_id,\n        dataset_id: dataset_id_1,\n        reason: :expiration,\n        role: :producer,\n        source: :user\n      )\n\n    not_to_be_deleted_notification =\n      %DB.NotificationSubscription{\n        contact_id: ^contact_id,\n        reason: :new_dataset,\n        role: :producer,\n        source: :admin\n      } =\n      insert(\n        :notification_subscription,\n        contact_id: contact_id,\n        dataset_id: nil,\n        reason: :new_dataset,\n        role: :producer,\n        source: :admin\n      )\n\n    conn = conn |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}, datagouv_token: %{}})\n\n    Datagouvfr.Client.User.Mock\n    |> expect(:me, 2, fn _ -> {:ok, %{\"organizations\" => [%{\"id\" => organization_id}]}} end)\n\n    {:ok, view, _html} = conn |> get(@producer_url) |> live()\n\n    assert [^notification, ^not_to_be_deleted_notification] =\n             DB.NotificationSubscription |> order_by(asc: :id) |> DB.Repo.all()\n\n    render_change(view, \"toggle-all\", %{\"action\" => \"turn_on\"})\n\n    notifications =\n      DB.NotificationSubscription\n      |> select([n], [n.dataset_id, n.reason])\n      |> order_by([n], [n.dataset_id, n.reason])\n      |> DB.Repo.all()\n\n    assert [\n             [dataset_id_1, :dataset_with_error],\n             [dataset_id_1, :expiration],\n             [dataset_id_1, :resource_unavailable],\n             [dataset_id_2, :dataset_with_error],\n             [dataset_id_2, :expiration],\n             [dataset_id_2, :resource_unavailable],\n             [nil, :new_dataset]\n           ] == notifications\n\n    render_change(view, \"toggle-all\", %{\"action\" => \"turn_off\"})\n\n    assert [^not_to_be_deleted_notification] = DB.NotificationSubscription |> DB.Repo.all()\n  end\n\n  describe \"feedback form is displayed\" do\n    test \"for a reuser\", %{conn: conn} do\n      insert_contact(%{\n        datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()\n      })\n\n      doc =\n        conn\n        |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}})\n        |> get(@reuser_url)\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert doc |> Floki.find(\"input#feedback_feature\") |> Floki.attribute(\"value\") == [\"reuser_space\"]\n    end\n\n    test \"for a producer\", %{conn: conn} do\n      insert_admin()\n\n      insert_contact(%{\n        datagouv_user_id: datagouv_user_id = Ecto.UUID.generate()\n      })\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn _ -> {:ok, %{\"organizations\" => []}} end)\n\n      doc =\n        conn\n        |> init_test_session(%{current_user: %{\"id\" => datagouv_user_id}, datagouv_token: %{}})\n        |> get(@producer_url)\n        |> html_response(200)\n        |> Floki.parse_document!()\n\n      assert doc |> Floki.find(\"input#feedback_feature\") |> Floki.attribute(\"value\") == [\"producer_space\"]\n    end\n  end\n\n  defp insert_admin do\n    insert_contact(%{\n      organizations: [\n        %{\n          \"name\" => \"Point d'Accès National transport.data.gouv.fr\",\n          \"acronym\" => nil,\n          \"badges\" => [],\n          \"id\" => Ecto.UUID.generate(),\n          \"logo\" => \"https://example.com/original.png\",\n          \"logo_thumbnail\" => \"https://example.com/100.png\",\n          \"slug\" => \"foo\" <> Ecto.UUID.generate()\n        }\n      ]\n    })\n  end\n\n  defp dom_platform_wide_reasons(content) do\n    content\n    |> Floki.parse_document!()\n    |> Floki.find(~s|#{@platform_wide_path} tr td .form__group fieldset .switch input[phx-click=\"toggle\"]|)\n    |> Enum.map(fn {\"input\", attributes, []} -> attributes |> Map.new() |> Map.take([\"name\", \"phx-value-action\"]) end)\n    |> MapSet.new()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/proxy_config_live_test.exs",
    "content": "defmodule TransportWeb.Backoffice.ProxyConfigLiveTest do\n  use ExUnit.Case, async: true\n  use TransportWeb.LiveCase\n  import TransportWeb.ConnCase, only: [setup_admin_in_session: 1]\n  import Mox\n  import Phoenix.LiveViewTest\n\n  doctest TransportWeb.Backoffice.ProxyConfigLive, import: true\n\n  describe \"total_cache_sizes/1\" do\n    alias TransportWeb.Backoffice.ProxyConfigLive\n\n    test \"returns zeros when config is empty\" do\n      assert {\"0 B\", \"0 B\"} = ProxyConfigLive.total_cache_sizes([])\n    end\n\n    test \"returns zeros when no items have cache_size_bytes\" do\n      config = [%{type: \"HTTP\"}, %{type: \"SIRI\"}]\n      assert {\"0 B\", \"0 B\"} = ProxyConfigLive.total_cache_sizes(config)\n    end\n\n    test \"sums RAM and disk sizes separately\" do\n      config = [\n        %{type: \"HTTP\", cache_size_bytes: 1024},\n        %{type: \"HTTP\", cache_size_bytes: 512},\n        %{type: \"HTTP\", caching: \"disk\", cache_size_bytes: 2048},\n        %{type: \"S3\", cache_size_bytes: 4096}\n      ]\n\n      {ram, disk} = ProxyConfigLive.total_cache_sizes(config)\n      assert ram == Sizeable.filesize(1024 + 512)\n      assert disk == Sizeable.filesize(2048 + 4096)\n    end\n  end\n\n  @endpoint TransportWeb.Endpoint\n  @url \"/backoffice/proxy-config\"\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    DB.Repo.delete_all(DB.Metrics)\n    {:ok, conn: build_conn()}\n  end\n\n  setup :verify_on_exit!\n\n  def setup_proxy_config(slug, siri_slug, aggregate_slug, s3_slug) do\n    config = %{\n      slug => %Unlock.Config.Item.Generic.HTTP{\n        identifier: slug,\n        target_url: \"http://localhost/some-remote-resource\",\n        ttl: 10,\n        caching: \"disk\"\n      },\n      siri_slug => %Unlock.Config.Item.SIRI{\n        identifier: siri_slug,\n        target_url: \"http://localhost/some-siri-resource\",\n        requestor_ref: \"secret\"\n      },\n      aggregate_slug => %Unlock.Config.Item.Aggregate{\n        identifier: aggregate_slug,\n        feeds: []\n      },\n      s3_slug => %Unlock.Config.Item.S3{\n        identifier: s3_slug,\n        bucket: \"bucket\",\n        path: \"path\",\n        ttl: 500\n      }\n    }\n\n    Unlock.Config.Fetcher.Mock\n    |> stub(:fetch_config!, fn -> config end)\n  end\n\n  test \"requires login\", %{conn: conn} do\n    conn = get(conn, @url)\n    assert html_response(conn, 302)\n  end\n\n  def add_events(item_id) do\n    target = \"proxy:#{item_id}\"\n    Transport.Telemetry.count_event(target, event_name(:external))\n    Transport.Telemetry.count_event(target, event_name(:external))\n    Transport.Telemetry.count_event(target, event_name(:internal))\n  end\n\n  defp event_name(type) do\n    type |> Transport.Telemetry.proxy_request_event_name()\n  end\n\n  test \"disconnected and connected mount refresh stats\", %{conn: conn} do\n    item_id = \"gtfs-rt-slug\"\n    siri_item_id = \"siri-slug\"\n    aggregate_item_id = \"aggregate-slug\"\n    s3_item_id = \"s3-slug\"\n    setup_proxy_config(item_id, siri_item_id, aggregate_item_id, s3_item_id)\n\n    add_events(item_id)\n\n    conn = setup_admin_in_session(conn)\n    conn = get(conn, @url)\n\n    response = html_response(conn, 200)\n    assert response =~ \"Configuration du Proxy\"\n\n    # NOTE: alphabetical slug order\n    assert [\n             %{\n               \"Type\" => \"Aggregate\",\n               \"Identifiant\" => \"aggregate-slug\",\n               \"Req ext 7j\" => \"0\",\n               \"Req int 7j\" => \"N/C\"\n             },\n             %{\n               \"Type\" => \"HTTP\",\n               \"Identifiant\" => \"gtfs-rt-slug\",\n               \"Req ext 7j\" => \"2\",\n               \"Req int 7j\" => \"1\"\n             },\n             %{\n               \"Type\" => \"S3\",\n               \"Identifiant\" => \"s3-slug\",\n               \"Req ext 7j\" => \"0\",\n               \"Req int 7j\" => \"0\"\n             },\n             %{\n               \"Identifiant\" => \"siri-slug\",\n               \"Req ext 7j\" => \"0\",\n               \"Req int 7j\" => \"0\"\n             }\n           ] = extract_data_from_html(response)\n\n    {:ok, view, _html} = live(conn)\n\n    add_events(item_id)\n\n    send(view.pid, :update_data)\n\n    assert [\n             _aggregate_item,\n             %{\n               \"Type\" => \"HTTP\",\n               \"Identifiant\" => \"gtfs-rt-slug\",\n               \"Req ext 7j\" => \"4\",\n               \"Req int 7j\" => \"2\"\n             },\n             _siri_item,\n             _s3_item\n           ] = extract_data_from_html(render(view))\n  end\n\n  test \"can search feeds\", %{conn: conn} do\n    item_id = \"gtfs-rt-slug\"\n    siri_item_id = \"siri-slug\"\n    aggregate_item_id = \"aggregate-slug\"\n    s3_item_id = \"s3-slug\"\n    setup_proxy_config(item_id, siri_item_id, aggregate_item_id, s3_item_id)\n\n    {:ok, view, _html} = conn |> setup_admin_in_session() |> get(@url) |> live()\n\n    assert [\n             {\"select\", [{\"id\", \"backoffice_search_container_type\"}, {\"name\", \"type\"}],\n              [\n                {\"option\", [{\"selected\", \"\"}, {\"value\", \"\"}], [\"Tout\"]},\n                {\"option\", [{\"value\", \"Aggregate\"}], [\"Aggregate\"]},\n                {\"option\", [{\"value\", \"HTTP\"}], [\"HTTP\"]},\n                {\"option\", [{\"value\", \"S3\"}], [\"S3\"]},\n                {\"option\", [{\"value\", \"SIRI\"}], [\"SIRI\"]}\n              ]}\n           ] == view |> element(\"form select\") |> render() |> Floki.parse_document!()\n\n    assert [\"aggregate-slug\", \"gtfs-rt-slug\", \"s3-slug\", \"siri-slug\"] == slugs(view)\n\n    form = view |> element(\"form\")\n\n    assert [\"s3-slug\"] == form |> search_by_type(\"S3\") |> slugs()\n\n    assert_patch(view, @url <> \"?search=&type=S3&disk=false\")\n\n    # Reset the form\n    form |> search_by_type(\"\")\n\n    assert [\"siri-slug\"] == form |> search_by_value(\"siri\") |> slugs()\n    assert_patch(view, @url <> \"?search=siri&type=&disk=false\")\n\n    form |> search_by_type(\"SIRI\")\n    assert [\"siri-slug\"] == form |> search_by_value(\"siri\") |> slugs()\n    assert_patch(view, @url <> \"?search=siri&type=SIRI&disk=false\")\n\n    assert [] == form |> search_by_value(\"other\") |> slugs()\n    form |> search_by_type(\"\")\n\n    assert [\"aggregate-slug\", \"gtfs-rt-slug\", \"s3-slug\", \"siri-slug\"] == form |> search_by_value(\"slug\") |> slugs()\n    assert_patch(view, @url <> \"?search=slug&type=&disk=false\")\n\n    # Search by disk using the checkbox\n    form |> search_by_value(\"\")\n\n    assert [\"gtfs-rt-slug\", \"s3-slug\"] == form |> search_by_disk(true) |> slugs()\n    assert_patch(view, @url <> \"?search=&type=&disk=true\")\n  end\n\n  defp search_by_value(%Phoenix.LiveViewTest.Element{} = el, value) do\n    render_change(el, %{_target: [\"search\"], search: value})\n  end\n\n  defp search_by_type(%Phoenix.LiveViewTest.Element{} = el, value) do\n    render_change(el, %{_target: [\"type\"], type: value})\n  end\n\n  defp search_by_disk(%Phoenix.LiveViewTest.Element{} = el, value) do\n    render_change(el, %{_target: [\"disk\"], disk: value})\n  end\n\n  defp slugs(%Phoenix.LiveViewTest.View{} = view), do: view |> render() |> slugs()\n\n  defp slugs(content) when is_binary(content) do\n    content\n    |> Floki.parse_document!()\n    |> Floki.find(~s|[data-name=\"unique-slug\"]|)\n    |> Enum.map(&(&1 |> Floki.text() |> String.trim()))\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/proxy_requests_count_live_test.exs",
    "content": "defmodule Transport.TransportWeb.ProxyRequestsCountLiveTest do\n  use TransportWeb.ConnCase, async: true\n  import Phoenix.LiveViewTest\n  import DB.Factory\n  import Transport.Telemetry, only: [truncate_datetime_to_hour: 1]\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"renders the expected counts\", %{conn: conn} do\n    today = truncate_datetime_to_hour(DateTime.utc_now())\n    yesterday = truncate_datetime_to_hour(DateTime.add(DateTime.utc_now(), -1, :day))\n    two_months_ago = truncate_datetime_to_hour(DateTime.add(DateTime.utc_now(), -60, :day))\n\n    insert(:metrics, target: \"foo\", event: \"proxy:request:internal\", count: 1, period: today)\n    insert(:metrics, target: \"foo\", event: \"proxy:request:external\", count: 3, period: today)\n    insert(:metrics, target: \"bar\", event: \"gbfs:request:external\", count: 2, period: yesterday)\n    insert(:metrics, target: \"bar\", event: \"gbfs:request:internal\", count: 2, period: yesterday)\n    insert(:metrics, target: \"bar\", event: \"proxy:request:external\", count: 200, period: two_months_ago)\n    insert(:metrics, target: \"bar\", event: \"proxy:request:internal\", count: 200, period: two_months_ago)\n\n    {:ok, view, _html} =\n      conn\n      |> Phoenix.ConnTest.init_test_session(%{\"locale\" => \"fr\"})\n      |> live_isolated(TransportWeb.ProxyRequestsCountLive)\n\n    assert %{socket: %Phoenix.LiveView.Socket{assigns: %{data: %{\"external\" => 5, \"internal\" => 3}}}} =\n             :sys.get_state(view.pid)\n\n    assert render(view) =~ ~s(<div class=\"proxy-external-requests\">\\n    5\\n  </div>)\n    assert render(view) =~ ~s(par un facteur de 1,7 sur cette période.)\n\n    insert(:metrics, target: \"baz\", event: \"proxy:request:external\", count: 10, period: today)\n    send(view.pid, :update_data)\n\n    assert %{socket: %Phoenix.LiveView.Socket{assigns: %{data: %{\"external\" => 15, \"internal\" => 3}}}} =\n             :sys.get_state(view.pid)\n\n    assert render(view) =~ ~s(<div class=\"proxy-external-requests\">\\n    15\\n  </div>)\n    assert render(view) =~ ~s(par un facteur de 5 sur cette période.)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/rate_limiter_live_test.exs",
    "content": "defmodule TransportWeb.Backoffice.RateLimiterLiveTest do\n  use ExUnit.Case, async: true\n  use TransportWeb.LiveCase\n  import Phoenix.LiveViewTest\n  import TransportWeb.ConnCase, only: [setup_admin_in_session: 1]\n\n  @endpoint TransportWeb.Endpoint\n  @url \"/backoffice/rate_limiter\"\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    {:ok, conn: build_conn()}\n  end\n\n  test \"requires login\", %{conn: conn} do\n    conn\n    |> get(@url)\n    |> html_response(302)\n  end\n\n  test \"page can load\", %{conn: conn} do\n    conn\n    |> setup_admin_in_session()\n    |> get(@url)\n    |> html_response(200)\n  end\n\n  test \"ips_in_jail\" do\n    assert [] == PhoenixDDoS.Jail.ips_in_jail()\n    PhoenixDDoS.Jail.send(~c\"108.128.238.17\", {nil, %{jail_time: {1, :hour}}})\n    assert [\"108.128.238.17\"] == PhoenixDDoS.Jail.ips_in_jail()\n  end\n\n  test \"bail out IP\", %{conn: conn} do\n    ip = \"108.128.238.17\"\n    ip |> to_charlist() |> PhoenixDDoS.Jail.send({nil, %{jail_time: {1, :hour}}})\n    {:ok, view, html} = conn |> setup_admin_in_session() |> live(@url)\n    assert [ip] == PhoenixDDoS.Jail.ips_in_jail()\n\n    assert html =~ ip\n\n    assert view\n           |> element(\"button\", \"Retirer de la jail\")\n           |> render_click()\n\n    assert [] == PhoenixDDoS.Jail.ips_in_jail()\n\n    send(view.pid, :update_data)\n\n    refute render(view) =~ ip\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/reuses_live_test.exs",
    "content": "defmodule Transport.TransportWeb.ReusesLiveTest do\n  use TransportWeb.ConnCase, async: true\n  import Phoenix.LiveViewTest\n  import DB.Factory\n  import Mox\n\n  setup :verify_on_exit!\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"render some reuses\", %{conn: conn} do\n    insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate())\n\n    Datagouvfr.Client.Reuses.Mock\n    |> expect(:get, 1, fn %{datagouv_id: ^datagouv_id} ->\n      {:ok, reuses()}\n    end)\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.ReusesLive,\n        session: %{\n          \"dataset_datagouv_id\" => datagouv_id,\n          \"locale\" => \"fr\"\n        }\n      )\n\n    assert render(view) =~ \"Bornes et station de recharge pour véhicules électriques\"\n  end\n\n  test \"renders even if data.gouv is down\", %{conn: conn} do\n    insert(:dataset, datagouv_id: datagouv_id = Ecto.UUID.generate())\n\n    # in case of request failure, the function returns an empty list.\n    Datagouvfr.Client.Reuses.Mock |> expect(:get, 1, fn %{datagouv_id: ^datagouv_id} -> {:error, \"not working\"} end)\n\n    assert {:ok, view, _html} =\n             live_isolated(conn, TransportWeb.ReusesLive,\n               session: %{\n                 \"dataset_datagouv_id\" => datagouv_id,\n                 \"locale\" => \"fr\"\n               }\n             )\n\n    # we render the view to make sure the async call to data.gouv is done\n    assert render(view) =~ \"réutilisations sont temporairement indisponibles\"\n  end\n\n  test \"the counter reacts to broadcasted messages\", %{conn: conn} do\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.CountReusesLive,\n        session: %{\n          \"dataset_datagouv_id\" => datagouv_id = Ecto.UUID.generate(),\n          \"locale\" => \"fr\"\n        }\n      )\n\n    refute render(view) =~ \"Réutilisations\"\n\n    Phoenix.PubSub.broadcast(\n      TransportWeb.PubSub,\n      \"dataset_reuses_count:bad_dataset_id\",\n      {:count, 10}\n    )\n\n    refute render(view) =~ \"Réutilisations\"\n\n    Phoenix.PubSub.broadcast(\n      TransportWeb.PubSub,\n      \"dataset_reuses_count:#{datagouv_id}\",\n      {:count, 10}\n    )\n\n    assert render(view) =~ \"Réutilisations\"\n  end\n\n  defp reuses do\n    [\n      %{\n        \"badges\" => [],\n        \"created_at\" => \"2021-08-10T15:29:09.918000+00:00\",\n        \"datasets\" => [\n          %{\n            \"page\" =>\n              \"https://demo.data.gouv.fr/fr/datasets/fichier-consolide-des-bornes-de-recharge-pour-vehicules-electriques/\",\n            \"title\" => \"Fichier consolidé des Bornes de Recharge pour Véhicules Électriques\",\n            \"uri\" =>\n              \"https://demo.data.gouv.fr/api/1/datasets/fichier-consolide-des-bornes-de-recharge-pour-vehicules-electriques/\"\n          }\n        ],\n        \"deleted\" => nil,\n        \"description\" => \"Bornes et station de recharge pour véhicules électriques.\",\n        \"featured\" => nil,\n        \"id\" => \"61127f25f52dc5cf5c3e78ca\",\n        \"image\" => \"https://demo-static.data.gouv.fr/images/6a/9a7d3e6c0a4254b0e0b444d8ae0706.jpg\",\n        \"image_thumbnail\" => \"https://demo-static.data.gouv.fr/images/6a/9a7d3e6c0a4254b0e0b444d8ae0706-500.jpg\",\n        \"last_modified\" => \"2022-05-23T20:59:34.578000+00:00\",\n        \"metrics\" => %{\n          \"datasets\" => 1,\n          \"discussions\" => 1,\n          \"followers\" => 0,\n          \"views\" => 3\n        },\n        \"organization\" => %{\n          \"acronym\" => \"Citelec\",\n          \"badges\" => [],\n          \"class\" => \"Organization\",\n          \"id\" => \"61127ddee9f485e2009dbf22\",\n          \"logo\" => \"https://demo-static.data.gouv.fr/avatars/2f/6d1820648b49f69bba027206a882c8-original.jpg\",\n          \"logo_thumbnail\" => \"https://demo-static.data.gouv.fr/avatars/2f/6d1820648b49f69bba027206a882c8-100.jpg\",\n          \"name\" => \"Citadine-Electrique.com\",\n          \"page\" => \"https://demo.data.gouv.fr/fr/organizations/citadine-electrique-com/\",\n          \"slug\" => \"citadine-electrique-com\",\n          \"uri\" => \"https://demo.data.gouv.fr/api/1/organizations/citadine-electrique-com/\"\n        },\n        \"owner\" => %{\"name\" => \"Citadine-Electrique.com\"},\n        \"page\" => \"https://demo.data.gouv.fr/fr/reuses/https-citadine-electrique-com/\",\n        \"private\" => false,\n        \"slug\" => \"https-citadine-electrique-com\",\n        \"tags\" => [\"borne-de-recharge-electrique\", \"voiture-electrique\"],\n        \"title\" => \"https://citadine-electrique.com/\",\n        \"topic\" => \"transport_and_mobility\",\n        \"type\" => \"application\",\n        \"uri\" => \"https://demo.data.gouv.fr/api/1/reuses/https-citadine-electrique-com/\",\n        \"url\" => \"https://citadine-electrique.com/\"\n      }\n    ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/user_space_datasets_live_test.exs",
    "content": "defmodule TransportWeb.Live.UserSpaceDatasetsLiveTest do\n  use TransportWeb.ConnCase, async: true\n  use Oban.Testing, repo: DB.Repo\n  import Phoenix.LiveViewTest\n  import DB.Factory\n\n  doctest TransportWeb.Live.UserSpaceDatasetsLive, import: true\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"can filter datasets\", %{conn: conn} do\n    dijon_pt = insert(:dataset, type: \"public-transit\", custom_title: \"Divia\")\n    dijon_vls = insert(:dataset, type: \"vehicles-sharing\", custom_title: \"DiviaVélo\")\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.UserSpaceDatasetsLive,\n        session: %{\n          \"dataset_ids\" => [dijon_pt.id, dijon_vls.id],\n          \"locale\" => \"fr\",\n          \"csp_nonce_value\" => Ecto.UUID.generate(),\n          \"mode\" => :reuser\n        }\n      )\n\n    assert [\n             {\"select\", [{\"id\", \"type\"}, {\"name\", \"type\"}],\n              [\n                {\"option\", [{\"selected\", \"\"}, {\"value\", \"\"}], [\"Tout\"]},\n                {\"option\", [{\"value\", \"public-transit\"}], [\"Transport public collectif\"]},\n                {\"option\", [{\"value\", \"vehicles-sharing\"}], [\"Véhicules en libre-service\"]}\n              ]}\n           ] == view |> element(\"form select\") |> render() |> Floki.parse_document!()\n\n    refute has_element?(view, \".notification\")\n\n    assert [\"Divia\", \"DiviaVélo\"] == dataset_titles(view)\n\n    form = view |> element(\"form\")\n\n    assert [\"DiviaVélo\"] == form |> search_by_value(\"velo\") |> dataset_titles()\n    assert [\"DiviaVélo\"] == form |> search_by_type(\"vehicles-sharing\") |> dataset_titles()\n    # Search \"velo\" + \"public-transit\" = no results\n    assert [] == form |> search_by_type(\"public-transit\") |> dataset_titles()\n    assert has_element?(view, \".notification\", \"Pas de résultats\")\n\n    # Resetting the search value, only public-transit filter\n    assert [\"Divia\"] == form |> search_by_value(\"\") |> dataset_titles()\n    # Resetting the type filter\n    assert [\"Divia\", \"DiviaVélo\"] == form |> search_by_type(\"\") |> dataset_titles()\n  end\n\n  test \"does not display select by data type when there is a single type\", %{conn: conn} do\n    dijon_pt = insert(:dataset, type: \"public-transit\", custom_title: \"Divia\")\n\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.UserSpaceDatasetsLive,\n        session: %{\n          \"dataset_ids\" => [dijon_pt.id],\n          \"locale\" => \"fr\",\n          \"csp_nonce_value\" => Ecto.UUID.generate(),\n          \"mode\" => :reuser\n        }\n      )\n\n    refute has_element?(view, \"form select\")\n\n    assert [\"Divia\"] == dataset_titles(view)\n\n    form = view |> element(\"form\")\n\n    assert [\"Divia\"] == form |> search_by_value(\"via\") |> dataset_titles()\n\n    # No results\n    assert [] == form |> search_by_value(\"nope\") |> dataset_titles()\n    assert has_element?(view, \".notification\", \"Pas de résultats\")\n  end\n\n  defp search_by_value(%Phoenix.LiveViewTest.Element{} = el, value) do\n    render_change(el, %{_target: [\"search\"], search: value})\n  end\n\n  defp search_by_type(%Phoenix.LiveViewTest.Element{} = el, value) do\n    render_change(el, %{_target: [\"type\"], type: value})\n  end\n\n  defp dataset_titles(%Phoenix.LiveViewTest.View{} = view), do: view |> render() |> dataset_titles()\n\n  defp dataset_titles(content) when is_binary(content) do\n    content\n    |> Floki.parse_document!()\n    |> Floki.find(\".dataset__title\")\n    |> Enum.map(&(&1 |> Floki.text() |> String.trim()))\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/live_views/validate_resource_live_test.exs",
    "content": "defmodule Transport.TransportWeb.Live.ValidateResourceLiveTest do\n  use TransportWeb.ConnCase, async: true\n  use Oban.Testing, repo: DB.Repo\n  import DB.Factory\n  import Phoenix.LiveViewTest\n\n  @gtfs_path \"#{__DIR__}/../../fixture/files/gtfs.zip\"\n\n  setup do\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"success case for a GTFS, new resource\", %{conn: conn} do\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.ValidateResourceLive,\n        session: %{\n          \"locale\" => \"fr\",\n          \"action_path\" => \"/action\",\n          \"datagouv_resource\" => %{},\n          \"new_resource\" => true,\n          \"resource\" => nil,\n          \"formats\" => [\"GTFS\"]\n        }\n      )\n\n    assert [\n             {\"input\",\n              [\n                {\"id\", _},\n                {\"type\", \"file\"},\n                {\"name\", \"zip\"},\n                {\"accept\", \".zip\"},\n                {\"data-phx-hook\", \"Phoenix.LiveFileUpload\"},\n                {\"data-phx-update\", \"ignore\"},\n                {\"data-phx-upload-ref\", _},\n                {\"data-phx-active-refs\", \"\"},\n                {\"data-phx-done-refs\", \"\"},\n                {\"data-phx-preflighted-refs\", \"\"},\n                {\"data-phx-auto-upload\", \"\"}\n              ], []}\n           ] = render(view) |> Floki.parse_document!() |> Floki.find(~s|input[type=\"file\"]|)\n\n    Transport.Test.S3TestUtils.s3_mock_stream_file(\n      start_path: \"\",\n      bucket: \"transport-data-gouv-fr-on-demand-validation-test\"\n    )\n\n    content = upload_file(view)\n\n    # Loading state\n    assert_loading_state(content)\n\n    # Validation has been created\n    assert [\n             %DB.MultiValidation{\n               oban_args: %{\n                 \"filename\" => filename,\n                 \"permanent_url\" => permanent_url,\n                 \"secret_url_token\" => _,\n                 \"state\" => \"waiting\",\n                 \"type\" => \"gtfs\"\n               }\n             } = multi_validation\n           ] = DB.Repo.all(DB.MultiValidation)\n\n    assert permanent_url == Transport.S3.permanent_url(:on_demand_validation, filename)\n\n    assert_job_has_been_enqueued(multi_validation)\n\n    # Update the validation to mimick success\n    multi_validation\n    |> DB.Repo.preload(:metadata)\n    |> Ecto.Changeset.change(%{\n      oban_args: Map.put(multi_validation.oban_args, \"state\", \"completed\"),\n      max_error: \"Warning\",\n      metadata: %DB.ResourceMetadata{metadata: %{\"start_date\" => \"2025-01-01\", \"end_date\" => \"2025-01-31\"}}\n    })\n    |> DB.Repo.update!()\n\n    send(view.pid, :update_data)\n    content = render(view) |> Floki.parse_document!()\n\n    # Success is displayed\n    assert [{\"p\", [{\"class\", \"notification success\"}], [\"\\n  Pas d'erreurs\\n\"]}] =\n             content |> Floki.find(\".notification\")\n\n    # Validity period is displayed\n    assert content |> Floki.find(~s|[title=\"Période de validité\"]|) == [\n             {\n               \"div\",\n               [{\"title\", \"Période de validité\"}],\n               [\n                 {\"i\", [{\"class\", \"icon icon--calendar-alt\"}, {\"aria-hidden\", \"true\"}], []},\n                 {\"span\", [], [\"01/01/2025\"]},\n                 {\"i\", [{\"class\", \"icon icon--right-arrow ml-05-em\"}, {\"aria-hidden\", \"true\"}], []},\n                 {\"span\", [{\"class\", \"resource__summary--Error\"}], [\"31/01/2025\"]}\n               ]\n             }\n           ]\n\n    # Link to see the validation report\n    assert_validation_report_link(content, multi_validation)\n\n    # Hidden inputs are present\n    assert [\n             {\"input\", [{\"name\", \"_csrf_token\"}, {\"type\", \"hidden\"}, {\"hidden\", \"\"}, {\"value\", _}], []},\n             {\"input\", [{\"type\", \"hidden\"}, {\"name\", \"resource_file[filename]\"}, {\"value\", \"gtfs.zip\"}], []},\n             {\"input\", [{\"type\", \"hidden\"}, {\"name\", \"resource_file[path]\"}, {\"value\", _}], []}\n           ] = content |> Floki.find(~s|input[type=\"hidden\"]|)\n  end\n\n  test \"error case for a GTFS, new resource\", %{conn: conn} do\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.ValidateResourceLive,\n        session: %{\n          \"locale\" => \"fr\",\n          \"action_path\" => \"/action\",\n          \"datagouv_resource\" => %{},\n          \"new_resource\" => true,\n          \"resource\" => nil,\n          \"formats\" => [\"GTFS\"]\n        }\n      )\n\n    Transport.Test.S3TestUtils.s3_mock_stream_file(\n      start_path: \"\",\n      bucket: \"transport-data-gouv-fr-on-demand-validation-test\"\n    )\n\n    content = upload_file(view)\n\n    # Loading state\n    assert_loading_state(content)\n\n    # Validation has been created\n    assert [\n             %DB.MultiValidation{\n               oban_args: %{\n                 \"filename\" => filename,\n                 \"permanent_url\" => permanent_url,\n                 \"secret_url_token\" => _,\n                 \"state\" => \"waiting\",\n                 \"type\" => \"gtfs\"\n               }\n             } = multi_validation\n           ] = DB.Repo.all(DB.MultiValidation)\n\n    assert permanent_url == Transport.S3.permanent_url(:on_demand_validation, filename)\n\n    assert_job_has_been_enqueued(multi_validation)\n\n    # Update the validation to mimick an error\n    multi_validation\n    |> DB.Repo.preload(:metadata)\n    |> Ecto.Changeset.change(%{\n      oban_args: Map.put(multi_validation.oban_args, \"state\", \"completed\"),\n      max_error: \"Error\",\n      metadata: %DB.ResourceMetadata{metadata: %{\"start_date\" => \"2025-12-01\", \"end_date\" => \"2025-12-31\"}}\n    })\n    |> DB.Repo.update!()\n\n    send(view.pid, :update_data)\n    content = render(view) |> Floki.parse_document!()\n\n    # Error state is displayed\n    assert [{\"p\", [{\"class\", \"notification error\"}], [\"\\n  Fichier invalide\\n\"]}] =\n             content |> Floki.find(\".notification\")\n\n    # Can start again\n    assert content |> Floki.find(~s|[phx-click=\"start_again\"]|) == [\n             {\"a\", [{\"phx-click\", \"start_again\"}, {\"class\", \"button-outline warning small mr-24\"}],\n              [{\"i\", [{\"class\", \"icon fa fa-rotate\"}], []}, \"\\n  Essayer à nouveau\\n\"]}\n           ]\n\n    # Link to see the validation report\n    assert_validation_report_link(content, multi_validation)\n\n    # Click on \"Start again\"\n    view |> element(~s|[phx-click=\"start_again\"]|) |> render_click()\n\n    refute view |> has_element?(\".notification\")\n    assert view |> has_element?(~s|input[type=\"file\"]|)\n  end\n\n  test \"validating a GTFS with a link\", %{conn: conn} do\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.ValidateResourceLive,\n        session: %{\n          \"locale\" => \"fr\",\n          \"action_path\" => \"/action\",\n          \"datagouv_resource\" => %{},\n          \"new_resource\" => true,\n          \"resource\" => nil,\n          \"formats\" => [\"GTFS\"]\n        }\n      )\n\n    form = view |> element(\"form\")\n\n    render_change(form, %{_target: [\"form[url]\"], form: %{url: \"https\"}})\n    refute view |> has_element?(~s|a[phx-click=\"start-validation\"]|)\n\n    url = \"https://example.com/file\"\n    render_change(form, %{_target: [\"form[url]\"], form: %{url: url}})\n    assert view |> has_element?(~s|a[phx-click=\"start-validation\"]|)\n\n    view |> element(~s|a[phx-click=\"start-validation\"]|) |> render_click()\n\n    content = render(view)\n\n    # Loading state\n    assert_loading_state(content, no_filename: true)\n\n    # Validation has been created\n    filename = Path.basename(url)\n\n    assert [\n             %DB.MultiValidation{\n               oban_args: %{\n                 \"filename\" => ^filename,\n                 \"permanent_url\" => ^url,\n                 \"secret_url_token\" => _,\n                 \"state\" => \"waiting\",\n                 \"type\" => \"gtfs\"\n               }\n             } = multi_validation\n           ] = DB.Repo.all(DB.MultiValidation)\n\n    assert_job_has_been_enqueued(multi_validation)\n\n    # Update the validation to mimick success\n    multi_validation\n    |> DB.Repo.preload(:metadata)\n    |> Ecto.Changeset.change(%{\n      oban_args: Map.put(multi_validation.oban_args, \"state\", \"completed\"),\n      max_error: \"Warning\",\n      metadata: %DB.ResourceMetadata{metadata: %{\"start_date\" => \"2025-01-01\", \"end_date\" => \"2025-01-31\"}}\n    })\n    |> DB.Repo.update!()\n\n    send(view.pid, :update_data)\n    content = render(view) |> Floki.parse_document!()\n\n    # Success is displayed\n    assert [{\"p\", [{\"class\", \"notification success\"}], [\"\\n  Pas d'erreurs\\n\"]}] =\n             content |> Floki.find(\".notification\")\n\n    # Validity period is displayed\n    assert content |> Floki.find(~s|[title=\"Période de validité\"]|) == [\n             {\n               \"div\",\n               [{\"title\", \"Période de validité\"}],\n               [\n                 {\"i\", [{\"class\", \"icon icon--calendar-alt\"}, {\"aria-hidden\", \"true\"}], []},\n                 {\"span\", [], [\"01/01/2025\"]},\n                 {\"i\", [{\"class\", \"icon icon--right-arrow ml-05-em\"}, {\"aria-hidden\", \"true\"}], []},\n                 {\"span\", [{\"class\", \"resource__summary--Error\"}], [\"31/01/2025\"]}\n               ]\n             }\n           ]\n\n    # Link to see the validation report\n    assert_validation_report_link(content, multi_validation)\n  end\n\n  test \"first format is selected when loading the view\", %{conn: conn} do\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.ValidateResourceLive,\n        session: %{\n          \"locale\" => \"fr\",\n          \"action_path\" => \"/action\",\n          \"datagouv_resource\" => %{},\n          \"new_resource\" => true,\n          \"resource\" => nil,\n          \"formats\" => [\"GTFS\", \"csv\"]\n        }\n      )\n\n    refute render(view) |> Floki.parse_document!() |> Floki.find(\"#gtfs-diff-input\") |> Enum.empty?()\n  end\n\n  test \"form has default values from the resource\", %{conn: conn} do\n    {:ok, view, _html} =\n      live_isolated(conn, TransportWeb.Live.ValidateResourceLive,\n        session: %{\n          \"locale\" => \"fr\",\n          \"action_path\" => \"/action\",\n          \"datagouv_resource\" => %{\"filetype\" => \"remote\"},\n          \"new_resource\" => false,\n          \"resource\" => insert(:resource, title: \"Titre\", url: \"https://example.com/file\", format: \"csv\"),\n          \"formats\" => [\"GTFS\", \"csv\"]\n        }\n      )\n\n    assert [\n             {[\"_csrf_token\"], [_]},\n             {[\"form[title]\"], [\"Titre\"]},\n             {[\"form[url]\"], [\"https://example.com/file\"]}\n           ] =\n             render(view)\n             |> Floki.parse_document!()\n             |> Floki.find(~s|input|)\n             |> Enum.map(&{Floki.attribute(&1, \"name\"), Floki.attribute(&1, \"value\")})\n  end\n\n  for format <- [\"gtfs-rt\", \"gbfs\"] do\n    test \"file input is hidden for #{format}\", %{conn: conn} do\n      {:ok, view, _html} =\n        live_isolated(conn, TransportWeb.Live.ValidateResourceLive,\n          session: %{\n            \"locale\" => \"fr\",\n            \"action_path\" => \"/action\",\n            \"datagouv_resource\" => %{},\n            \"new_resource\" => true,\n            \"resource\" => nil,\n            \"formats\" => [unquote(format)]\n          }\n        )\n\n      refute view |> has_element?(~s|input[type=\"file\"]|)\n    end\n  end\n\n  for format <- [\"GTFS\", \"NeTEx\"] do\n    test \"file validation is enabled for #{format}\", %{conn: conn} do\n      {:ok, view, _html} =\n        live_isolated(conn, TransportWeb.Live.ValidateResourceLive,\n          session: %{\n            \"locale\" => \"fr\",\n            \"action_path\" => \"/action\",\n            \"datagouv_resource\" => %{},\n            \"new_resource\" => true,\n            \"resource\" => nil,\n            \"formats\" => [\"gtfs-rt\", unquote(format)]\n          }\n        )\n\n      refute view |> has_element?(~s|input[type=\"file\"]|)\n\n      view |> element(\"form\") |> render_change(%{_target: [\"form[format]\"], form: %{format: unquote(format)}})\n\n      assert [\n               {\"input\",\n                [\n                  {\"id\", _},\n                  {\"type\", \"file\"},\n                  {\"name\", \"zip\"},\n                  {\"accept\", \".zip\"},\n                  {\"data-phx-hook\", \"Phoenix.LiveFileUpload\"},\n                  {\"data-phx-update\", \"ignore\"},\n                  {\"data-phx-upload-ref\", _},\n                  {\"data-phx-active-refs\", \"\"},\n                  {\"data-phx-done-refs\", \"\"},\n                  {\"data-phx-preflighted-refs\", \"\"},\n                  {\"data-phx-auto-upload\", \"\"}\n                ], []}\n             ] = render(view) |> Floki.parse_document!() |> Floki.find(~s|input[type=\"file\"]|)\n    end\n  end\n\n  for format <- [\"GTFS\", \"NeTEx\"] do\n    test \"URL validation is enabled for #{format}\", %{conn: conn} do\n      {:ok, view, _html} =\n        live_isolated(conn, TransportWeb.Live.ValidateResourceLive,\n          session: %{\n            \"locale\" => \"fr\",\n            \"action_path\" => \"/action\",\n            \"datagouv_resource\" => %{},\n            \"new_resource\" => true,\n            \"resource\" => nil,\n            \"formats\" => [unquote(format)]\n          }\n        )\n\n      view |> element(\"form\") |> render_change(%{_target: [\"form[url]\"], form: %{url: \"https://example.com/file\"}})\n\n      assert view |> has_element?(~s|a[phx-click=\"start-validation\"]|)\n    end\n  end\n\n  defp assert_validation_report_link(content, %DB.MultiValidation{\n         id: id,\n         oban_args: %{\"secret_url_token\" => secret_url_token}\n       }) do\n    assert content |> Floki.find(\".button-outline.primary\") == [\n             {\"a\",\n              [\n                {\"class\", \"button-outline primary small mt-12\"},\n                {\"target\", \"_blank\"},\n                {\"href\", validation_path(TransportWeb.Endpoint, :show, id, token: secret_url_token)}\n              ], [{\"i\", [{\"class\", \"icon fa fa-pen-to-square\"}], []}, \"Voir le rapport de validation\\n  \"]}\n           ]\n  end\n\n  defp assert_loading_state(content, opts \\\\ []) do\n    unless Keyword.get(opts, :no_filename) do\n      assert content =~ \"Fichier : <strong>gtfs.zip</strong>\"\n    end\n\n    assert content |> Floki.parse_document!() |> Floki.find(\".loader_container\") == [\n             {\"div\", [{\"class\", \"loader_container\"}], [{\"div\", [{\"class\", \"loader\"}], []}]}\n           ]\n  end\n\n  defp upload_file(%Phoenix.LiveViewTest.View{} = view) do\n    file_input(view, \"#upload-form\", :zip, [\n      %{\n        name: \"gtfs.zip\",\n        content: File.read!(@gtfs_path)\n      }\n    ])\n    |> render_upload(\"gtfs.zip\")\n  end\n\n  defp assert_job_has_been_enqueued(multi_validation) do\n    # Job has been enqueued\n    oban_args = Map.put(multi_validation.oban_args, \"id\", multi_validation.id)\n\n    assert [\n             %Oban.Job{\n               state: \"available\",\n               args: ^oban_args,\n               queue: \"on_demand_validation\",\n               worker: \"Transport.Jobs.OnDemandValidationJob\"\n             }\n           ] = all_enqueued()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/plugs/custom_secure_browser_headers_test.exs",
    "content": "defmodule TransportWeb.Plugs.CustomSecureBrowserHeadersTest do\n  use ExUnit.Case, async: true\n  doctest TransportWeb.Plugs.CustomSecureBrowserHeaders, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/plugs/producer_data_test.exs",
    "content": "defmodule TransportWeb.Plugs.ProducerDataTest do\n  use TransportWeb.ConnCase, async: false\n  alias TransportWeb.Plugs.ProducerData\n  import DB.Factory\n  import Mox\n\n  setup :verify_on_exit!\n\n  @cache_name Transport.Cache.Cachex.cache_name()\n\n  setup do\n    Mox.stub_with(Transport.ValidatorsSelection.Mock, Transport.ValidatorsSelection.Impl)\n\n    # Use a real in-memory cache for these tests to test the caching mecanism\n    old_value = Application.fetch_env!(:transport, :cache_impl)\n    Application.put_env(:transport, :cache_impl, Transport.Cache.Cachex)\n\n    on_exit(fn ->\n      Application.put_env(:transport, :cache_impl, old_value)\n      Cachex.reset(@cache_name)\n    end)\n\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    # Cachex runs the cache computation function in a separate Courier process,\n    # which would otherwise have no DB sandbox ownership. Shared mode locks\n    # this file in async: false but is the simplest fix.\n    Ecto.Adapters.SQL.Sandbox.mode(DB.Repo, {:shared, self()})\n  end\n\n  describe \"call\" do\n    test \"when user is a producer\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      %DB.Dataset{id: dataset_id, organization_id: organization_id, datagouv_id: datagouv_id} =\n        dataset = insert(:dataset)\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n      Datagouvfr.Client.Organization.Mock\n      |> expect(:get, fn ^organization_id, [restrict_fields: true] ->\n        {:ok, %{\"members\" => [%{\"user\" => %{\"id\" => contact.datagouv_user_id}}]}}\n      end)\n\n      Datagouvfr.Client.Discussions.Mock |> expect(:get, fn ^datagouv_id -> [] end)\n\n      current_user = %{\"is_producer\" => true, \"id\" => contact.datagouv_user_id}\n\n      conn =\n        conn\n        |> Phoenix.ConnTest.init_test_session(%{current_user: current_user})\n        |> assign(:current_user, current_user)\n        |> ProducerData.call([])\n\n      # Assigns have been saved\n      assert %{\n               datasets_checks: [\n                 %{expiring_resource: [], invalid_resource: [], unavailable_resource: [], unanswered_discussions: []}\n               ],\n               datasets_for_user: [%DB.Dataset{id: ^dataset_id}]\n             } = conn.assigns\n\n      # Cache has been set\n      assert [\"datasets_checks::#{contact.datagouv_user_id}\", \"datasets_for_user::#{contact.datagouv_user_id}\"] ==\n               Cachex.keys!(@cache_name) |> Enum.sort()\n\n      # With the appropriate TTL\n      assert_in_delta Cachex.ttl!(@cache_name, \"datasets_checks::#{contact.datagouv_user_id}\"), :timer.minutes(30), 50\n      assert_in_delta Cachex.ttl!(@cache_name, \"datasets_for_user::#{contact.datagouv_user_id}\"), :timer.minutes(30), 50\n    end\n\n    test \"when user is a producer and there is an OAuth 2 error\", %{conn: conn} do\n      contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n      Datagouvfr.Client.User.Mock\n      |> expect(:me, fn %Plug.Conn{} -> {:error, \"An error occured\"} end)\n\n      current_user = %{\"is_producer\" => true, \"id\" => contact.datagouv_user_id}\n\n      conn =\n        conn\n        |> Phoenix.ConnTest.init_test_session(%{current_user: current_user})\n        |> assign(:current_user, current_user)\n        |> ProducerData.call([])\n\n      # Assigns have been saved\n      assert %{\n               datasets_checks: [],\n               datasets_for_user: {:error, \"An error occured\"}\n             } = conn.assigns\n\n      # Cache has not set\n      assert [] == Cachex.keys!(@cache_name)\n    end\n\n    test \"when user is not a producer\", %{conn: conn} do\n      assert %Plug.Conn{} = conn |> Phoenix.ConnTest.init_test_session(%{}) |> ProducerData.call([])\n    end\n\n    for method <- [\"PUT\", \"POST\", \"DELETE\"] do\n      test \"cache is deleted and skipped for #{method} request on espace_producteur\", %{conn: conn} do\n        contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n        random_cache_value = Ecto.UUID.generate()\n\n        Cachex.put(@cache_name, \"datasets_for_user::#{contact.datagouv_user_id}\", random_cache_value)\n\n        %DB.Dataset{organization_id: organization_id, datagouv_id: datagouv_id} = dataset = insert(:dataset)\n\n        Datagouvfr.Client.User.Mock\n        |> expect(:me, fn %Plug.Conn{} -> {:ok, %{\"organizations\" => [%{\"id\" => dataset.organization_id}]}} end)\n\n        Datagouvfr.Client.Organization.Mock\n        |> expect(:get, fn ^organization_id, [restrict_fields: true] ->\n          {:ok, %{\"members\" => [%{\"user\" => %{\"id\" => contact.datagouv_user_id}}]}}\n        end)\n\n        Datagouvfr.Client.Discussions.Mock |> expect(:get, fn ^datagouv_id -> [] end)\n\n        current_user = %{\"is_producer\" => true, \"id\" => contact.datagouv_user_id}\n\n        %{conn | method: unquote(method), request_path: \"/espace_producteur/datasets\"}\n        |> Phoenix.ConnTest.init_test_session(%{current_user: current_user})\n        |> assign(:current_user, current_user)\n        |> ProducerData.call([])\n\n        # Cache has not been set and has been deleted\n        assert [] == Cachex.keys!(@cache_name)\n      end\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/plugs/rate_limiter_test.exs",
    "content": "defmodule TransportWeb.Plugs.RateLimiterTest do\n  use TransportWeb.ConnCase, async: false\n  alias TransportWeb.Plugs.RateLimiter\n\n  setup do\n    System.put_env(\n      envs = [\n        {\"LOG_USER_AGENT\", \"true\"},\n        {\"BLOCK_USER_AGENT_KEYWORDS\", \"Foo|Bar\"},\n        {\"ALLOW_USER_AGENTS\", \"SpecialUserAgent\"}\n      ]\n    )\n\n    on_exit(fn ->\n      Enum.each(envs, fn {env_name, _} -> System.delete_env(env_name) end)\n    end)\n  end\n\n  doctest RateLimiter, import: true\n\n  describe \"init\" do\n    test \"with strings\" do\n      assert [allow_user_agents: [], block_user_agent_keywords: [], log_user_agent: true] =\n               RateLimiter.init(\n                 log_user_agent: \"true\",\n                 block_user_agent_keywords: \"\",\n                 allow_user_agents: \"\"\n               )\n\n      assert [\n               allow_user_agents: [\"bar\", \"baz\"],\n               block_user_agent_keywords: [\"foo\", \"bar\"],\n               log_user_agent: false\n             ] =\n               RateLimiter.init(\n                 log_user_agent: \"\",\n                 block_user_agent_keywords: \"foo|bar\",\n                 allow_user_agents: \"bar|baz\"\n               )\n    end\n\n    test \"with keywords\" do\n      assert [\n               allow_user_agents: [],\n               log_user_agent: false,\n               block_user_agent_keywords: [\"foo\", \"bar\"]\n             ] ==\n               RateLimiter.init(\n                 block_user_agent_keywords: [\"foo\", \"bar\"],\n                 log_user_agent: false,\n                 allow_user_agents: []\n               )\n    end\n\n    test \"use env variables\" do\n      assert :use_env_variables = RateLimiter.init(:use_env_variables)\n    end\n  end\n\n  describe \"call\" do\n    test \"blocks the request if the user-agent matches\", %{conn: conn} do\n      text =\n        conn\n        |> Plug.Conn.put_req_header(\"user-agent\", \"Mozilla FooBar\")\n        |> RateLimiter.call(\n          log_user_agent: false,\n          block_user_agent_keywords: [\"FooBar\"],\n          allow_user_agents: []\n        )\n        |> text_response(401)\n\n      assert text == \"Unauthorized\"\n    end\n\n    test \"does nothing if the user-agent does not match\", %{conn: conn} do\n      assert %Plug.Conn{halted: false} =\n               conn\n               |> Plug.Conn.put_req_header(\"user-agent\", \"Mozilla FooBar\")\n               |> RateLimiter.call(\n                 log_user_agent: false,\n                 block_user_agent_keywords: [\"nope\"],\n                 allow_user_agents: []\n               )\n    end\n\n    test \"with environment variables\", %{conn: conn} do\n      assert \"Foo|Bar\" == System.get_env(\"BLOCK_USER_AGENT_KEYWORDS\")\n\n      text =\n        conn\n        |> Plug.Conn.put_req_header(\"user-agent\", \"Mozilla Foo\")\n        |> RateLimiter.call(:use_env_variables)\n        |> text_response(401)\n\n      assert text == \"Unauthorized\"\n    end\n\n    test \"with environment variables, homepage\", %{conn: conn} do\n      assert \"Foo|Bar\" == System.get_env(\"BLOCK_USER_AGENT_KEYWORDS\")\n\n      text =\n        conn\n        |> Plug.Conn.put_req_header(\"user-agent\", \"Mozilla Bar\")\n        |> get(~p\"/\")\n        |> text_response(401)\n\n      assert text == \"Unauthorized\"\n    end\n\n    test \"does not crash when user-agent is not set\", %{conn: conn} do\n      assert [] == get_req_header(conn, \"user-agent\")\n\n      assert %Plug.Conn{halted: false} =\n               conn\n               |> RateLimiter.call(\n                 log_user_agent: true,\n                 block_user_agent_keywords: [],\n                 allow_user_agents: []\n               )\n    end\n\n    test \"blocks a request if IP is blocked\", %{conn: conn} do\n      [blocked_ip] = Application.fetch_env!(:phoenix_ddos, :blocklist_ips)\n\n      assert %Plug.Conn{status: 429} =\n               conn\n               |> Plug.Conn.put_req_header(\"x-forwarded-for\", to_string(blocked_ip))\n               |> get(~p\"/\")\n    end\n\n    test \"does not block a request if user agent is allowed, even if IP is blocked\", %{conn: conn} do\n      [blocked_ip] = Application.fetch_env!(:phoenix_ddos, :blocklist_ips)\n      assert \"SpecialUserAgent\" == System.get_env(\"ALLOW_USER_AGENTS\")\n\n      conn\n      |> Plug.Conn.put_req_header(\"x-forwarded-for\", to_string(blocked_ip))\n      |> Plug.Conn.put_req_header(\"user-agent\", \"SpecialUserAgent\")\n      |> get(~p\"/robots.txt\")\n      |> text_response(200)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/plugs/worker_healthcheck_test.exs",
    "content": "defmodule TransportWeb.Plugs.WorkerHealthcheckTest do\n  # async: false is required because we use real in-memory caching in these tests,\n  # and we swap application config (shared state)\n  use TransportWeb.ConnCase, async: false\n  alias TransportWeb.Plugs.WorkerHealthcheck\n\n  @cache_name Transport.Cache.Cachex.cache_name()\n  @cache_key WorkerHealthcheck.app_start_datetime_cache_key_name()\n\n  setup do\n    # Use a real in-memory cache for these tests to test the caching mecanism\n    old_value = Application.fetch_env!(:transport, :cache_impl)\n    Application.put_env(:transport, :cache_impl, Transport.Cache.Cachex)\n\n    on_exit(fn ->\n      Application.put_env(:transport, :cache_impl, old_value)\n      Cachex.reset(@cache_name)\n    end)\n\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"healthy_state?\" do\n    test \"app was started recently, no Oban jobs\" do\n      assert WorkerHealthcheck.app_started_recently?()\n      refute WorkerHealthcheck.oban_attempted_jobs_recently?()\n      assert WorkerHealthcheck.healthy_state?()\n    end\n\n    test \"app was not started recently, Oban jobs have not been attempted recently\" do\n      datetime = DateTime.add(DateTime.utc_now(), -30, :minute)\n      Cachex.put(@cache_name, @cache_key, datetime)\n\n      refute WorkerHealthcheck.app_started_recently?()\n      refute WorkerHealthcheck.oban_attempted_jobs_recently?()\n      refute WorkerHealthcheck.healthy_state?()\n    end\n\n    test \"app was not started recently, Oban jobs have been attempted recently\" do\n      datetime = DateTime.add(DateTime.utc_now(), -30, :minute)\n      Cachex.put(@cache_name, @cache_key, datetime)\n\n      # A completed job was attempted 55 minutes ago\n      Transport.Jobs.ResourceUnavailableJob.new(%{resource_id: 1})\n      |> Oban.insert!()\n      |> Ecto.Changeset.change(attempted_at: DateTime.add(DateTime.utc_now(), -55, :minute), state: \"completed\")\n      |> DB.Repo.update!()\n\n      refute WorkerHealthcheck.app_started_recently?()\n      assert WorkerHealthcheck.oban_attempted_jobs_recently?()\n      assert WorkerHealthcheck.healthy_state?()\n    end\n  end\n\n  describe \"app_started_recently?\" do\n    test \"value is set when executed for the first time\" do\n      assert {:ok, false} == Cachex.exists?(@cache_name, @cache_key)\n      # Calling for the first time creates the key\n      assert WorkerHealthcheck.app_started_recently?()\n      assert {:ok, true} == Cachex.exists?(@cache_name, @cache_key)\n\n      # Calling again does not refresh the initial value\n      start_datetime = WorkerHealthcheck.app_start_datetime()\n      WorkerHealthcheck.app_started_recently?()\n      assert start_datetime == WorkerHealthcheck.app_start_datetime()\n\n      # Key does not expire\n      assert {:ok, nil} == Cachex.ttl(@cache_name, @cache_key)\n    end\n\n    test \"acceptable delay is 20 minutes\" do\n      # Just right\n      datetime = DateTime.add(DateTime.utc_now(), -19, :minute)\n      Cachex.put(@cache_name, @cache_key, datetime)\n\n      assert WorkerHealthcheck.app_started_recently?()\n\n      # Too long ago\n      datetime = DateTime.add(DateTime.utc_now(), -21, :minute)\n      Cachex.put(@cache_name, @cache_key, datetime)\n      refute WorkerHealthcheck.app_started_recently?()\n    end\n  end\n\n  describe \"oban_attempted_jobs_recently?\" do\n    test \"job attempted recently\" do\n      # Attempted less than 60 minutes ago\n      Transport.Jobs.ResourceUnavailableJob.new(%{resource_id: 1})\n      |> Oban.insert!()\n      |> Ecto.Changeset.change(attempted_at: DateTime.add(DateTime.utc_now(), -59, :minute), state: \"completed\")\n      |> DB.Repo.update!()\n\n      assert WorkerHealthcheck.oban_attempted_jobs_recently?()\n    end\n\n    test \"job attempted too long ago\" do\n      # Attempted more than 60 minutes ago\n      Transport.Jobs.ResourceUnavailableJob.new(%{resource_id: 1})\n      |> Oban.insert!()\n      |> Ecto.Changeset.change(attempted_at: DateTime.add(DateTime.utc_now(), -61, :minute), state: \"completed\")\n      |> DB.Repo.update!()\n\n      refute WorkerHealthcheck.oban_attempted_jobs_recently?()\n    end\n  end\n\n  describe \"call\" do\n    test \"healthy system\", %{conn: conn} do\n      assert WorkerHealthcheck.app_started_recently?()\n      refute WorkerHealthcheck.oban_attempted_jobs_recently?()\n      assert WorkerHealthcheck.healthy_state?()\n\n      assert conn |> WorkerHealthcheck.call(if: {__MODULE__, :plug_enabled?}) |> text_response(200)\n    end\n\n    test \"unhealthy system\", %{conn: conn} do\n      datetime = DateTime.add(DateTime.utc_now(), -30, :minute)\n      Cachex.put(@cache_name, @cache_key, datetime)\n\n      refute WorkerHealthcheck.app_started_recently?()\n      refute WorkerHealthcheck.oban_attempted_jobs_recently?()\n      refute WorkerHealthcheck.healthy_state?()\n\n      # Current fix for job ops troubles: the system must stop completely when unhealthy,\n      # so that Clever Cloud will restart it.\n      assert_raise RuntimeError, ~r/would halt the BEAM/, fn ->\n        conn |> WorkerHealthcheck.call(if: {__MODULE__, :plug_enabled?})\n      end\n    end\n  end\n\n  def plug_enabled?, do: true\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/routing/canonical_host_redirect_test.exs",
    "content": "defmodule TransportWeb.CanonicalRoutingTest do\n  use TransportWeb.ConnCase, async: true\n  import Phoenix.ConnTest\n\n  test \"redirects browser calls to canonical browser for GET queries\", %{conn: conn} do\n    conn =\n      conn\n      |> Map.put(:host, \"www.another.domain.com\")\n      |> get(path = \"/something?with=query&params=1\")\n\n    assert conn.status == 301\n    assert Plug.Conn.get_resp_header(conn, \"location\") == [\"http://www.example.com\" <> path]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/routing/headers_and_cookies_test.exs",
    "content": "defmodule TransportWeb.HeadersAndCookiesTest do\n  use TransportWeb.ConnCase, async: true\n  use TransportWeb.DatabaseCase, cleanup: [:datasets]\n\n  test \"sets expected headers\", %{conn: conn} do\n    conn = get(conn, \"/\")\n    # Correct with security practises recommend in February 2022\n    # https://github.com/phoenixframework/phoenix/pull/4677\n    assert get_resp_header(conn, \"referrer-policy\") == [\"strict-origin-when-cross-origin\"]\n    assert get_resp_header(conn, \"x-content-type-options\") == [\"nosniff\"]\n    assert get_resp_header(conn, \"x-frame-options\") == [\"DENY\"]\n    assert get_resp_header(conn, \"x-permitted-cross-domain-policies\") == [\"none\"]\n\n    [header] = get_resp_header(conn, \"set-cookie\")\n    # 15 days, in seconds\n    max_age = (24 * 60 * 60 * 15) |> Integer.to_string()\n\n    %{\n      \"_transport_key\" => _some_value,\n      \"path\" => \"/\",\n      \"SameSite\" => \"Lax\",\n      \"max-age\" => ^max_age,\n      \"expires\" => datetime\n    } = Plug.Conn.Cookies.decode(header)\n\n    datetime = TimeWrapper.parse!(datetime, \"{WDshort}, {D} {Mshort} {YYYY} {h24}:{m}:{s} GMT\")\n    assert_in_delta TimeWrapper.diff(datetime, TimeWrapper.now(), :hours), 15 * 24, 1\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/routing/health_check_test.exs",
    "content": "defmodule TransportWeb.HealthCheckTest do\n  use TransportWeb.ConnCase, async: false\n  use TransportWeb.DatabaseCase, cleanup: [:datasets]\n  import Mock\n\n  test \"GET /health-check\", %{conn: conn} do\n    conn = get(conn, \"/health-check\")\n    body = text_response(conn, 200)\n    assert body |> String.split(\"\\n\") == [\"db: OK\", \"http: OK\"]\n  end\n\n  test \"GET /health-check/metrics\", %{conn: conn} do\n    with_mock :memsup, get_system_memory_data: fn -> [free_memory: 1_127_345_667] end do\n      conn = get(conn, \"/health-check/metrics\")\n      body = text_response(conn, 200)\n      assert body |> String.split(\"\\n\") == [\"free_memory: 1127345667 (1.05 GB)\"]\n    end\n  end\n\n  test \"GET /health-check (with db not available)\", %{conn: conn} do\n    with_mock Ecto.Adapters.SQL, query!: fn _, _, _ -> raise DBConnection.ConnectionError end do\n      conn = get(conn, \"/health-check\")\n      body = text_response(conn, 500)\n      assert body |> String.split(\"\\n\") == [\"db: KO\", \"http: OK\"]\n\n      assert_called_exactly(Ecto.Adapters.SQL.query!(:_, :_, :_), 1)\n    end\n  end\n\n  test \"GET /health-check?db=0 (with db not available\", %{conn: conn} do\n    with_mock Ecto.Adapters.SQL, query!: fn _, _, _ -> raise DBConnection.ConnectionError end do\n      conn = get(conn, \"/health-check?db=0\")\n      body = text_response(conn, 200)\n      assert body |> String.split(\"\\n\") == [\"http: OK\"]\n\n      assert_called_exactly(Ecto.Adapters.SQL.query!(:_, :_, :_), 0)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/routing/proxy_routing_test.exs",
    "content": "defmodule TransportWeb.ProxyRoutingTest do\n  use TransportWeb.ConnCase, async: true\n\n  test \"accepts proxy. subdomain, calls and delegates them to Unlock\", %{conn: conn} do\n    conn = %{conn | host: \"proxy.example.com\"} |> get(~p\"/\")\n\n    [h] = Plug.Conn.get_resp_header(conn, \"x-request-id\")\n    assert h\n\n    assert text_response(conn, 200) =~ \"Unlock\"\n  end\n\n  test \"rate limiter is not enabled for proxy\", %{conn: conn} do\n    [blocked_ip] = Application.fetch_env!(:phoenix_ddos, :blocklist_ips)\n\n    response =\n      %{conn | host: \"proxy.example.com\"}\n      |> Plug.Conn.put_req_header(\"x-forwarded-for\", to_string(blocked_ip))\n      |> get(~p\"/\")\n      |> text_response(200)\n\n    assert response =~ \"Unlock\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/routing/put_locale_test.exs",
    "content": "defmodule TransportWeb.Plugs.PutLocaleTest do\n  use TransportWeb.ConnCase, async: true\n  import DB.Factory\n  doctest TransportWeb.Plugs.PutLocale, import: true\n\n  @path page_path(TransportWeb.Endpoint, :missions)\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"uses the locale query parameter\", %{conn: conn} do\n    conn = get(conn, @path)\n\n    assert Plug.Conn.get_session(conn, :locale) == \"fr\"\n\n    conn = get(conn, @path, locale: \"en\")\n    assert Plug.Conn.get_session(conn, :locale) == \"en\"\n  end\n\n  test \"uses the locale in the session\", %{conn: conn} do\n    conn = conn |> Plug.Test.init_test_session(%{locale: \"en\"}) |> get(@path)\n    assert Plug.Conn.get_session(conn, :locale) == \"en\"\n  end\n\n  test \"uses the accept-language header\", %{conn: conn} do\n    conn = conn |> Plug.Conn.put_req_header(\"accept-language\", \"en-CA;q=0.9, *;q=0.5\") |> get(@path)\n\n    assert Plug.Conn.get_session(conn, :locale) == \"en\"\n  end\n\n  test \"400 if the locale is not supported\", %{conn: conn} do\n    assert conn |> get(@path, locale: \"es\") |> text_response(400) == \"Locale is not supported.\"\n  end\n\n  test \"locale is switched in Gettext\", %{conn: conn} do\n    TransportWeb.Plugs.PutLocale.supported_locales()\n    |> Enum.each(fn locale ->\n      html = conn |> get(@path, locale: locale) |> html_response(200)\n      assert html |> Floki.parse_document!() |> Floki.attribute(\"html\", \"lang\") == [locale]\n    end)\n  end\n\n  test \"locale is saved in the database when switching\", %{conn: conn} do\n    contact = insert_contact(%{locale: \"fr\", datagouv_user_id: Ecto.UUID.generate()})\n\n    conn\n    |> Plug.Test.init_test_session(%{current_user: %{\"id\" => contact.datagouv_user_id}})\n    |> get(@path, locale: \"en\")\n\n    %DB.Contact{locale: \"en\"} = DB.Repo.reload!(contact)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/routing/router_test.exs",
    "content": "defmodule TransportWeb.Routing.RouterTest do\n  use ExUnit.Case, async: true\n  doctest TransportWeb.Router, import: true\n\n  test \"static_paths documents and files exist\" do\n    assert \"../../apps/transport/priv/static/*\"\n           |> Path.wildcard()\n           |> Enum.map(&Path.basename/1)\n           |> MapSet.new() == TransportWeb.static_paths() |> MapSet.new()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/session_test.exs",
    "content": "defmodule TransportWeb.SessionTest do\n  # `async: false` because we change the app config in a test\n  use ExUnit.Case, async: false\n  import DB.Factory\n  import TransportWeb.Session\n  doctest TransportWeb.Session, import: true\n\n  @pan_org_id Ecto.UUID.generate()\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  test \"producer?\" do\n    refute producer?(%{\"organizations\" => [pan_org()]})\n    insert(:dataset, organization_id: @pan_org_id)\n    # You're a producer if you're a member of an org with an active dataset\n    assert producer?(%{\"organizations\" => [pan_org()]})\n  end\n\n  test \"admin?\" do\n    refute admin?(%{\"organizations\" => []})\n    refute admin?(%{\"organizations\" => [%{\"slug\" => \"foo\"}]})\n    assert admin?(%{\"organizations\" => [pan_org()]})\n  end\n\n  describe \"reader\" do\n    test \"admin?\" do\n      refute admin?(Plug.Test.init_test_session(%Plug.Conn{}, %{}))\n      assert admin?(Plug.Test.init_test_session(%Plug.Conn{}, %{current_user: %{\"is_admin\" => true}}))\n      assert admin?(%Phoenix.LiveView.Socket{assigns: %{current_user: %{\"is_admin\" => true}}})\n    end\n\n    test \"producer?\" do\n      assert producer?(Plug.Test.init_test_session(%Plug.Conn{}, %{current_user: %{\"is_producer\" => true}}))\n      refute producer?(Plug.Test.init_test_session(%Plug.Conn{}, %{}))\n    end\n  end\n\n  describe \"with contact from database\" do\n    test \"producer?\" do\n      contact = insert_contact()\n      # This contact has no orgs => not a producer\n      refute producer?(contact)\n\n      org = insert(:organization)\n\n      contact =\n        contact\n        |> Ecto.Changeset.change()\n        |> Ecto.Changeset.put_assoc(:organizations, [org])\n        |> DB.Repo.update!()\n\n      # Still not a producer as there is no dataset published by this org\n      refute producer?(DB.Repo.get(DB.Contact, contact.id))\n\n      insert(:dataset, organization_id: org.id)\n      # Now the contact is a producer\n      assert producer?(contact)\n    end\n  end\n\n  describe \"set_is_producer\" do\n    test \"no datasets\" do\n      assert %{\"is_producer\" => false} ==\n               %Plug.Conn{}\n               |> Plug.Test.init_test_session(%{current_user: %{}})\n               |> set_is_producer([])\n               |> Plug.Conn.get_session(:current_user)\n    end\n\n    test \"2 datasets\" do\n      assert %{\"is_producer\" => true} ==\n               %Plug.Conn{}\n               |> Plug.Test.init_test_session(%{current_user: %{}})\n               |> set_is_producer([build(:dataset), build(:dataset)])\n               |> Plug.Conn.get_session(:current_user)\n    end\n  end\n\n  def pan_org do\n    %{\"slug\" => \"equipe-transport-data-gouv-fr\", \"name\" => \"PAN\", \"id\" => @pan_org_id}\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/views/avatar_view_test.exs",
    "content": "defmodule TransportWeb.LayoutViewTest do\n  use TransportWeb.ConnCase, async: true\n  use TransportWeb.DatabaseCase, cleanup: []\n  import DB.Factory\n  import Plug.Test\n\n  @moduletag :view\n\n  setup do\n    contact = insert_contact(%{datagouv_user_id: Ecto.UUID.generate()})\n\n    current_user = %{\n      \"id\" => contact.datagouv_user_id,\n      \"avatar_thumbnail\" => \"https://avatar.co/tristram\",\n      \"first_name\" => \"Tristram\",\n      \"last_name\" => \"Gräbener\"\n    }\n\n    {:ok, current_user: current_user}\n  end\n\n  test \"renders avatar\", %{conn: conn, current_user: current_user} do\n    render =\n      conn\n      |> init_test_session(current_user: current_user)\n      |> get(~p\"/\")\n      |> Map.get(:resp_body)\n\n    assert render =~ current_user[\"avatar_thumbnail\"]\n    assert render =~ current_user[\"first_name\"]\n    assert render =~ current_user[\"last_name\"]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/views/backoffice/page_view_test.exs",
    "content": "defmodule TransportWeb.Backoffice.PageViewTest do\n  use ExUnit.Case, async: true\n  doctest TransportWeb.Backoffice.PageView, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/views/dataset_view_test.exs",
    "content": "defmodule TransportWeb.DatasetViewTest do\n  use TransportWeb.ConnCase, async: false\n  use TransportWeb.ExternalCase\n  use TransportWeb.DatabaseCase, cleanup: [:datasets]\n  import DB.Factory\n  import Phoenix.LiveViewTest\n  import TransportWeb.DatasetView\n\n  doctest TransportWeb.DatasetView, import: true\n\n  test \"the html content of a markdown description\" do\n    content = \"# coucou\"\n    dataset = %DB.Dataset{description: content}\n    assert description(dataset) == {:safe, \"<h1>\\ncoucou</h1>\\n\"}\n  end\n\n  test \"if the html produced is sanitized\" do\n    content = \"<p \\\" onmouseout=\\\"alert('Gotcha!')\\\">coucou</p>\"\n    dataset = %DB.Dataset{description: content}\n    assert description(dataset) == {:safe, \"<p>\\n  coucou</p>\\n\"}\n  end\n\n  test \"resource to display for a low emission zone dataset\" do\n    dataset_two_geojson = %DB.Dataset{\n      type: \"road-data\",\n      resources: [\n        %DB.Resource{\n          id: 1,\n          url: \"https://example.com/zfe.geojson\",\n          format: \"geojson\",\n          schema_name: \"etalab/schema-zfe\"\n        },\n        %DB.Resource{\n          id: 2,\n          url: \"https://example.com/voies.geojson\",\n          format: \"geojson\",\n          schema_name: \"etalab/schema-zfe\"\n        }\n      ]\n    }\n\n    dataset_title_geojson = %DB.Dataset{\n      type: \"road-data\",\n      resources: [\n        %DB.Resource{\n          id: 1,\n          url: \"https://example.com/zfe.geojson\",\n          format: \"json\",\n          title: \"Export de la zone en GeoJSON\"\n        }\n      ]\n    }\n\n    dataset_only_roads = %DB.Dataset{\n      type: \"road-data\",\n      resources: [\n        %DB.Resource{\n          id: 1,\n          url: \"https://example.com/voies.geojson\",\n          format: \"json\",\n          title: \"Export des voies en GeoJSON\"\n        }\n      ]\n    }\n\n    assert get_resource_to_display(dataset_two_geojson).id == 1\n    assert get_resource_to_display(dataset_title_geojson).id == 1\n    assert get_resource_to_display(dataset_only_roads) == nil\n  end\n\n  test \"resource to display for BNLC\" do\n    dataset_two_bnlcs = %DB.Dataset{\n      type: \"carpooling-areas\",\n      resources: [\n        %DB.Resource{\n          id: 1,\n          url: \"https://example.com/bnlc.csv\",\n          format: \"csv\",\n          schema_name: \"etalab/schema-lieux-covoiturage\",\n          last_update: ~U[2016-05-24 13:26:08Z],\n          type: \"other\"\n        },\n        %DB.Resource{\n          id: 2,\n          url: \"https://example.com/bnlc-consolidated.csv\",\n          format: \"csv\",\n          schema_name: \"etalab/schema-lieux-covoiturage\",\n          last_update: ~U[2016-05-24 13:25:08Z],\n          type: \"other\"\n        }\n      ]\n    }\n\n    dataset_two_bnlcs_with_the_main = %DB.Dataset{\n      type: \"carpooling-areas\",\n      resources: [\n        %DB.Resource{\n          id: 1,\n          url: \"https://example.com/bnlc.csv\",\n          format: \"csv\",\n          schema_name: \"etalab/schema-lieux-covoiturage\",\n          last_update: ~U[2016-05-24 13:26:08Z],\n          type: \"other\"\n        },\n        %DB.Resource{\n          id: 2,\n          url: \"https://example.com/bnlc-consolidated-1.csv\",\n          format: \"csv\",\n          schema_name: \"etalab/schema-lieux-covoiturage\",\n          # not the latest, but we prefer the main one\n          last_update: ~U[2016-05-24 13:24:08Z],\n          type: \"main\"\n        },\n        %DB.Resource{\n          id: 3,\n          url: \"https://example.com/bnlc-consolidated-2.csv\",\n          format: \"csv\",\n          schema_name: \"etalab/schema-lieux-covoiturage\",\n          # not the latest, but we prefer the main one\n          last_update: ~U[2016-05-24 13:25:08Z],\n          type: \"main\"\n        }\n      ]\n    }\n\n    # Display the latest\n    assert get_resource_to_display(dataset_two_bnlcs).id == 1\n\n    # Display the latest main one\n    assert get_resource_to_display(dataset_two_bnlcs_with_the_main).id == 3\n  end\n\n  test \"test data is up to date\" do\n    assert \"tipi.bison-fute.gouv.fr\" == Application.fetch_env!(:transport, :bison_fute_host)\n  end\n\n  test \"other_official_resources is sorted by display position\" do\n    dataset = %DB.Dataset{\n      type: \"xxx\",\n      resources: [\n        %DB.Resource{\n          id: 1,\n          url: \"https://example.com/resource_a.geojson\",\n          format: \"geojson\",\n          display_position: 1\n        },\n        %DB.Resource{\n          id: 2,\n          url: \"https://example.com/resource_b.geojson\",\n          format: \"geojson\",\n          display_position: 0\n        }\n      ]\n    }\n\n    assert [{0, 2}, {1, 1}] == dataset |> other_official_resources() |> Enum.map(&{&1.display_position, &1.id})\n  end\n\n  test \"schemas_resources is sorted by display position\" do\n    dataset = %DB.Dataset{\n      type: \"road-data\",\n      resources: [\n        %DB.Resource{\n          id: 1,\n          url: \"https://example.com/zfe.geojson\",\n          format: \"geojson\",\n          schema_name: \"etalab/schema-zfe\",\n          display_position: 1\n        },\n        %DB.Resource{\n          id: 2,\n          url: \"https://example.com/voies.geojson\",\n          format: \"geojson\",\n          schema_name: \"etalab/schema-zfe\",\n          display_position: 0\n        }\n      ]\n    }\n\n    assert [{0, 2}, {1, 1}] == dataset |> schemas_resources() |> Enum.map(&{&1.display_position, &1.id})\n  end\n\n  test \"count_resources and count_documentation_resources\" do\n    dataset = insert(:dataset)\n    insert(:resource, type: \"documentation\", url: \"https://example.com/doc\", dataset: dataset)\n    insert(:resource, type: \"documentation\", url: \"https://example.com/more_doc\", dataset: dataset)\n    insert(:resource, type: \"main\", url: \"https://example.com/file\", dataset: dataset)\n    insert(:resource, type: \"main\", url: \"https://example.com/community\", dataset: dataset, is_community_resource: true)\n\n    dataset = dataset |> DB.Repo.preload(:resources)\n\n    assert count_resources(dataset) == 1\n    assert count_documentation_resources(dataset) == 2\n  end\n\n  describe \"licence_link\" do\n    test \"inactive filter\", %{conn: conn} do\n      conn = conn |> get(dataset_path(conn, :index))\n\n      assert ~s{<a href=\"http://127.0.0.1:5100/datasets?licence=licence-ouverte\">Licence Ouverte (3)</a>} ==\n               conn |> licence_link(%{licence: \"licence-ouverte\", count: 3}) |> to_html()\n    end\n\n    test \"active filter for licence-ouverte\", %{conn: conn} do\n      conn = conn |> get(dataset_path(conn, :index, licence: \"licence-ouverte\"))\n\n      assert ~s{<span class=\"activefilter\">Licence Ouverte (3)</span>} ==\n               conn |> licence_link(%{licence: \"licence-ouverte\", count: 3}) |> to_html()\n    end\n\n    test \"filter for fr-lo and lov2 by name\", %{conn: conn} do\n      conn = conn |> get(dataset_path(conn, :index, licence: \"lov2\"))\n\n      assert ~s{<a href=\"http://127.0.0.1:5100/datasets?licence=licence-ouverte\">Licence Ouverte (3)</a>} ==\n               conn |> licence_link(%{licence: \"licence-ouverte\", count: 3}) |> to_html()\n\n      conn = conn |> get(dataset_path(conn, :index, licence: \"fr-lo\"))\n\n      assert ~s{<a href=\"http://127.0.0.1:5100/datasets?licence=licence-ouverte\">Licence Ouverte (3)</a>} ==\n               conn |> licence_link(%{licence: \"licence-ouverte\", count: 3}) |> to_html()\n    end\n\n    test \"all unselected\", %{conn: conn} do\n      conn = conn |> get(dataset_path(conn, :index))\n\n      assert ~s{<span class=\"activefilter\">Toutes (3)</span>} ==\n               conn |> licence_link(%{licence: \"all\", count: 3}) |> to_html()\n    end\n\n    test \"all resets filter\", %{conn: conn} do\n      conn = conn |> get(dataset_path(conn, :index, licence: \"odc-odbl\", type: \"public-transit\"))\n\n      assert ~s{<a href=\"http://127.0.0.1:5100/datasets?type=public-transit\">Toutes (3)</a>} ==\n               conn |> licence_link(%{licence: \"all\", count: 3}) |> to_html()\n    end\n  end\n\n  test \"order_resources_by_format does not reorder GTFS and NeTEx\" do\n    gtfs = insert(:resource, format: \"GTFS\")\n    netex = insert(:resource, format: \"NeTEx\")\n    resources = [gtfs, netex]\n\n    assert resources == order_resources_by_format(resources)\n  end\n\n  test \"icons exist\" do\n    Enum.each(DB.Dataset.types(), fn type ->\n      path =\n        __DIR__\n        |> Path.join(\"../../../client/\")\n        |> Path.join(icon_type_path(type))\n\n      assert File.exists?(path)\n    end)\n  end\n\n  describe \"notification_sent\" do\n    test \"expiration\" do\n      assert render_component(&notification_sent/1,\n               locale: \"fr\",\n               notification: %{\n                 timestamp: ~U[2025-12-30 11:27:23.516350Z],\n                 payload: %{\"delay\" => 7},\n                 reason: :expiration\n               }\n             )\n             |> Floki.parse_document!() == [\n               {\"tr\", [],\n                [\n                  {\"td\", [], [\"Expiration de données\"]},\n                  {\"td\", [], [\"\\n  dans 7 jours\\n\"]},\n                  {\"td\", [], [\"30/12/2025 à 12h27 Europe/Paris\"]}\n                ]}\n             ]\n    end\n\n    test \"dataset_with_error\" do\n      resource = insert(:resource, title: \"GTFS\")\n\n      assert render_component(&notification_sent/1,\n               locale: \"fr\",\n               notification: %{\n                 timestamp: ~U[2025-12-30 11:27:23.516350Z],\n                 payload: %{\"resource_ids\" => [resource.id]},\n                 reason: :dataset_with_error\n               }\n             )\n             |> Floki.parse_document!() == [\n               {\n                 \"tr\",\n                 [],\n                 [\n                   {\"td\", [], [\"Erreurs de validation\"]},\n                   {\"td\", [],\n                    [\n                      {\"a\",\n                       [{\"href\", resource_path(TransportWeb.Endpoint, :details, resource.id)}, {\"target\", \"_blank\"}],\n                       [\"\\n    GTFS\\n  \"]}\n                    ]},\n                   {\"td\", [], [\"30/12/2025 à 12h27 Europe/Paris\"]}\n                 ]\n               }\n             ]\n    end\n\n    test \"resource_unavailable\" do\n      resource = insert(:resource, title: \"GTFS\")\n\n      assert render_component(&notification_sent/1,\n               locale: \"fr\",\n               notification: %{\n                 timestamp: ~U[2025-12-30 11:27:23.516350Z],\n                 payload: %{\"resource_ids\" => [resource.id], \"hours_consecutive_downtime\" => 48},\n                 reason: :resource_unavailable\n               }\n             )\n             |> Floki.parse_document!() == [\n               {\n                 \"tr\",\n                 [],\n                 [\n                   {\"td\", [], [\"Ressources indisponibles\"]},\n                   {\"td\", [],\n                    [\n                      {\"a\",\n                       [{\"href\", resource_path(TransportWeb.Endpoint, :details, resource.id)}, {\"target\", \"_blank\"}],\n                       [\"\\n    GTFS\\n  \"]},\n                      \"\\n  —\\u00A048h\\n\"\n                    ]},\n                   {\"td\", [], [\"30/12/2025 à 12h27 Europe/Paris\"]}\n                 ]\n               }\n             ]\n    end\n  end\n\n  defp to_html(%Phoenix.LiveView.Rendered{} = rendered) do\n    rendered |> Phoenix.HTML.Safe.to_iodata() |> IO.iodata_to_binary()\n  end\n\n  defp to_html({:safe, _} = content), do: Phoenix.HTML.safe_to_string(content)\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/views/error_view_test.exs",
    "content": "defmodule TransportWeb.ErrorViewTest do\n  use TransportWeb.ConnCase, async: true\n  import Phoenix.View, only: [render_to_string: 3]\n  alias TransportWeb.ErrorView\n\n  test \"render 500.html\" do\n    assert render_to_string(ErrorView, \"500.html\", []) =~ \"Erreur sur la ligne 500 !\"\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/views/markdown_handler_test.exs",
    "content": "defmodule TransportWeb.MarkdownHandlerTest do\n  use ExUnit.Case\n  alias TransportWeb.MarkdownHandler\n\n  test \"the sanitization of a markdown\" do\n    content = \"# Bonjour\\n<script>alert(\\\"xxx\\\")</script>\"\n    assert content |> MarkdownHandler.markdown_to_safe_html!() == {:safe, \"<h1>\\nBonjour</h1>\\n\\n  alert(\\\"xxx\\\")\\n\"}\n  end\n\n  test \"a markdown keeps linebreaks\" do\n    content_with_r = \"Bonjour,\\r\\n\\r\\nLes données seront périmées à la fin du mois d'Août.\"\n    content_with_only_n = \"Bonjour\\nmerci de votre vigilance.\"\n\n    assert content_with_r |> MarkdownHandler.markdown_to_safe_html!() ==\n             {:safe, \"<p>\\nBonjour,</p>\\n<p>\\nLes données seront périmées à la fin du mois d’Août.</p>\\n\"}\n\n    assert content_with_only_n |> MarkdownHandler.markdown_to_safe_html!() ==\n             {:safe, \"<p>\\nBonjour  <br />\\nmerci de votre vigilance.</p>\\n\"}\n  end\n\n  test \"renders links\" do\n    content =\n      \"Bonjour,\\r\\nLa page précise une licence odc-oDbl et sur le site de vélib on trouve la licence d'etalab https://www.velib-metropole.fr/donnees-open-data-gbfs-du-service-velib-metropole\\r\\n\"\n\n    assert content |> MarkdownHandler.markdown_to_safe_html!() ==\n             {:safe,\n              \"<p>\\nBonjour,  <br />\\nLa page précise une licence odc-oDbl et sur le site de vélib on trouve la licence d’etalab <a href=\\\"https://www.velib-metropole.fr/donnees-open-data-gbfs-du-service-velib-metropole\\\">https://www.velib-metropole.fr/donnees-open-data-gbfs-du-service-velib-metropole</a></p>\\n\"}\n  end\n\n  test \"renders code\" do\n    content =\n      \"Cela pourrait être une bonne chose de rajouter tout de meme l'url en `license_url` (du fichier `system_information.json`)\"\n\n    assert content |> MarkdownHandler.markdown_to_safe_html!() ==\n             {:safe,\n              \"<p>\\nCela pourrait être une bonne chose de rajouter tout de meme l’url en <code>license_url</code> (du fichier <code>system_information.json</code>)</p>\\n\"}\n  end\n\n  test \"does render HTML elements inside Markdown code\" do\n    content = \"<h1>This is a title</h1>\"\n    assert content |> MarkdownHandler.markdown_to_safe_html!() == {:safe, \"<h1>\\n  This is a title</h1>\\n\"}\n  end\n\n  test \"does escape dangerous HTML tags\" do\n    content = \"<script>alert('Boo!');</script>\"\n    assert content |> MarkdownHandler.markdown_to_safe_html!() == {:safe, \"\\n  alert('Boo!');\\n\"}\n  end\n\n  test \"renders tables\" do\n    content = \"\"\"\n    State | Abbrev\n    ------|-------\n    Texas | TX\n    \"\"\"\n\n    assert content |> MarkdownHandler.markdown_to_safe_html!() == {\n             :safe,\n             ~s(<table class=\"table\">\\n  <thead>\\n    <tr>\\n      <th>\\nState      </th>\\n      <th>\\nAbbrev      </th>\\n    </tr>\\n  </thead>\\n  <tbody>\\n    <tr>\\n      <td>\\nTexas      </td>\\n      <td>\\nTX      </td>\\n    </tr>\\n  </tbody>\\n</table>\\n)\n           }\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/views/no_html_in_markdown_templates_test.exs",
    "content": "defmodule NoHTMLInMarkdownTemplatesTest do\n  @moduledoc \"\"\"\n  Check that we do not use `<a href=\"\"></a>` links in Markdown templates\n  \"\"\"\n  use ExUnit.Case, async: true\n\n  test \"Do not use HTML links in Markdown templates\" do\n    md_files = \"../../apps/transport/lib/transport_web/templates/**/*.html.md\" |> Path.wildcard()\n\n    refute Enum.empty?(md_files)\n    assert md_files |> Enum.filter(&with_html_link?/1) |> Enum.empty?()\n  end\n\n  def with_html_link?(file) do\n    file |> File.read!() |> String.contains?(\"<a href=\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/views/page_view_test.exs",
    "content": "defmodule TransportWeb.PageViewTest do\n  use ExUnit.Case, async: true\n  doctest TransportWeb.PageView, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/transport_web/views/resource_view_test.exs",
    "content": "defmodule TransportWeb.ResourceViewTest do\n  use ExUnit.Case, async: true\n  doctest TransportWeb.ResourceView, import: true\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/batch_metrics_test.exs",
    "content": "defmodule Unlock.BatchMetricsTest do\n  use ExUnit.Case, async: false\n  import DB.Factory\n  import Transport.Test.TestUtils, only: [wait_until: 1]\n\n  setup do\n    :ok = Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n    # The GenServer fires `Task.start/1` for each upsert, and `$callers` propagation\n    # to those transient tasks is racy under load. Shared mode covers the GenServer\n    # AND its spawned tasks. Locks this file in async: false (already the case).\n    Ecto.Adapters.SQL.Sandbox.mode(DB.Repo, {:shared, self()})\n    :ok\n  end\n\n  test \"work\" do\n    now = DateTime.utc_now()\n    truncated_period = now |> Transport.Telemetry.truncate_datetime_to_hour()\n    insert(:metrics, %{target: \"bar\", event: \"internal\", period: truncated_period, count: 1})\n\n    Unlock.BatchMetrics.incr_event(%{target: \"foo\", event: \"external\"})\n    Unlock.BatchMetrics.incr_event(%{target: \"foo\", event: \"external\"})\n    Unlock.BatchMetrics.incr_event(%{target: \"foo\", event: \"external\"})\n    Unlock.BatchMetrics.incr_event(%{target: \"bar\", event: \"internal\"})\n\n    assert %{{\"foo\", \"external\"} => 3, {\"bar\", \"internal\"} => 1} == :sys.get_state(Unlock.BatchMetrics)\n\n    send(Unlock.BatchMetrics, :work)\n    # upserts run in async tasks — poll until the records have been inserted\n    wait_until(fn -> DB.Repo.aggregate(DB.Metrics, :count) == 2 end)\n\n    assert [\n             # Metric has been updated\n             %DB.Metrics{\n               count: 2,\n               period: ^truncated_period,\n               target: \"bar\",\n               event: \"internal\"\n             },\n             # New metric has been inserted\n             %DB.Metrics{\n               count: 3,\n               period: ^truncated_period,\n               target: \"foo\",\n               event: \"external\"\n             }\n           ] = DB.Repo.all(DB.Metrics) |> Enum.sort_by(& &1.target)\n\n    assert %{} == :sys.get_state(Unlock.BatchMetrics)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/config_fetcher_test.exs",
    "content": "defmodule Unlock.ConfigFetcherTest do\n  use ExUnit.Case\n\n  def parse_config(yaml), do: Unlock.Config.Fetcher.convert_yaml_to_config_items(yaml)\n\n  [\n    %{config_type: \"gtfs-rt\"},\n    %{config_type: \"generic-http\"}\n  ]\n  |> Enum.each(fn %{config_type: config_type} ->\n    describe \"for #{config_type} items\" do\n      # default value must be respected\n      if config_type == \"gtfs-rt\" do\n        test \"type defaults to gtfs-rt\" do\n          yaml_config = \"\"\"\n          ---\n          feeds:\n            - identifier: \"httpbin-get\"\n              target_url: \"https://httpbin.org/get\"\n              # no type provided\n              ttl: 10\n          \"\"\"\n\n          assert parse_config(yaml_config) == [\n                   %Unlock.Config.Item.Generic.HTTP{\n                     identifier: \"httpbin-get\",\n                     target_url: \"https://httpbin.org/get\",\n                     # gtfs-rt must be stored\n                     subtype: \"gtfs-rt\",\n                     ttl: 10\n                   }\n                 ]\n        end\n      end\n\n      test \"parses and converts configuration\" do\n        yaml_config = \"\"\"\n        ---\n        feeds:\n          - identifier: \"httpbin-get\"\n            target_url: \"https://httpbin.org/get\"\n            type: #{unquote(config_type)}\n            ttl: 10\n        \"\"\"\n\n        assert parse_config(yaml_config) == [\n                 %Unlock.Config.Item.Generic.HTTP{\n                   identifier: \"httpbin-get\",\n                   target_url: \"https://httpbin.org/get\",\n                   # default value\n                   subtype: unquote(config_type),\n                   ttl: 10\n                 }\n               ]\n      end\n\n      test \"defaults to TTL 0 if TTL is unspecified\" do\n        yaml_config = \"\"\"\n        ---\n        feeds:\n          - identifier: \"httpbin-get\"\n            target_url: \"https://httpbin.org/get\"\n            type: #{unquote(config_type)}\n        \"\"\"\n\n        [item] = parse_config(yaml_config)\n\n        assert item.ttl == 0\n      end\n\n      test \"defaults to cachex caching if caching is unspecified\" do\n        yaml_config = \"\"\"\n        ---\n        feeds:\n          - identifier: \"httpbin-get\"\n            target_url: \"https://httpbin.org/get\"\n            type: #{unquote(config_type)}\n        \"\"\"\n\n        [item] = parse_config(yaml_config)\n\n        assert item.caching == \"cachex\"\n      end\n\n      test \"can specify the caching method\" do\n        yaml_config = \"\"\"\n        ---\n        feeds:\n          - identifier: \"httpbin-get\"\n            target_url: \"https://httpbin.org/get\"\n            type: #{unquote(config_type)}\n            caching: disk\n        \"\"\"\n\n        [item] = parse_config(yaml_config)\n\n        assert item.caching == \"disk\"\n      end\n\n      # This was the cleanest/most robust way I could find to express this in YAML\n      test \"supports requests headers as array of 2-element arrays, mapped into tuples\" do\n        yaml_config = \"\"\"\n        ---\n        feeds:\n          - identifier: \"httpbin-header-auth-ok\"\n            target_url: \"https://httpbin.org/bearer\"\n            type: #{unquote(config_type)}\n            request_headers:\n              - [\"Authorization\", \"Bearer some-value\"]\n        \"\"\"\n\n        [item] = parse_config(yaml_config)\n\n        assert item.request_headers == [{\"Authorization\", \"Bearer some-value\"}]\n      end\n    end\n  end)\n\n  describe \"for SIRI items\" do\n    test \"it parses basic information\" do\n      yaml_config = \"\"\"\n      ---\n      feeds:\n        - identifier: \"httpbin-get\"\n          type: \"siri\"\n          target_url: \"https://httpbin.org/get\"\n          requestor_ref: the-ref\n      \"\"\"\n\n      assert parse_config(yaml_config) == [\n               %Unlock.Config.Item.SIRI{\n                 identifier: \"httpbin-get\",\n                 target_url: \"https://httpbin.org/get\",\n                 requestor_ref: \"the-ref\"\n               }\n             ]\n    end\n  end\n\n  describe \"for aggregated items\" do\n    test \"it parses basic information\" do\n      yaml_config = \"\"\"\n      ---\n      feeds:\n        - identifier: \"consolidation\"\n          type: \"aggregate\"\n          feeds:\n            - identifier: abdcd\n              slug: foo\n              target_url: http://localhost:1234\n              ttl: 100\n            - identifier: efghi\n              slug: bar\n              target_url: https://localhost:1235\n      \"\"\"\n\n      assert parse_config(yaml_config) == [\n               %Unlock.Config.Item.Aggregate{\n                 identifier: \"consolidation\",\n                 ttl: 10,\n                 feeds: [\n                   %Unlock.Config.Item.Generic.HTTP{\n                     identifier: \"abdcd\",\n                     slug: \"foo\",\n                     target_url: \"http://localhost:1234\",\n                     ttl: 100,\n                     subtype: \"generic-http\"\n                   },\n                   %Unlock.Config.Item.Generic.HTTP{\n                     identifier: \"efghi\",\n                     slug: \"bar\",\n                     target_url: \"https://localhost:1235\",\n                     ttl: 10,\n                     subtype: \"generic-http\"\n                   }\n                 ]\n               }\n             ]\n    end\n  end\n\n  test \"S3 items\" do\n    yaml_config = \"\"\"\n    ---\n    feeds:\n      - identifier: \"irve-statique\"\n        type: \"s3\"\n        bucket: \"aggregates\"\n        path: \"consolidation_irve_statique.csv\"\n        ttl: 300\n        response_headers:\n          - [\"content-type\", \"text/csv\"]\n    \"\"\"\n\n    assert parse_config(yaml_config) == [\n             %Unlock.Config.Item.S3{\n               identifier: \"irve-statique\",\n               bucket: \"aggregates\",\n               path: \"consolidation_irve_statique.csv\",\n               ttl: 300,\n               response_headers: [{\"content-type\", \"text/csv\"}]\n             }\n           ]\n  end\n\n  test \"for a GBFS feed\" do\n    yaml_config = \"\"\"\n    ---\n    feeds:\n      - identifier: \"example\"\n        type: \"gbfs\"\n        base_url: \"https://example.com/gbfs.json\"\n        ttl: 10\n    \"\"\"\n\n    assert parse_config(yaml_config) == [\n             %Unlock.Config.Item.GBFS{\n               identifier: \"example\",\n               base_url: \"https://example.com/gbfs.json\",\n               ttl: 10\n             }\n           ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/controllers/unlock_controller_test.exs",
    "content": "defmodule Unlock.ControllerTest do\n  # async false until we stub Cachex calls or use per-test cache name\n  # and also due to our current global mox use, and capture_log\n  use TransportWeb.ConnCase, async: false\n  import Plug.Conn\n\n  import ExUnit.CaptureLog\n\n  import Mox\n  setup :verify_on_exit!\n  # require for current cachex use (out of process)\n  setup :set_mox_from_context\n\n  setup do\n    Cachex.clear(Unlock.Shared.cache_name())\n    setup_telemetry_handler()\n  end\n\n  @the_good_requestor_ref \"transport-data-gouv-fr\"\n  @a_bad_requestor_ref \"I-can-haz-icecream\"\n\n  test \"GET /\" do\n    output =\n      proxy_conn()\n      |> get(\"/\")\n      |> text_response(200)\n\n    assert output == \"Unlock Proxy\"\n  end\n\n  def setup_proxy_config(config) do\n    Unlock.Config.Fetcher.Mock\n    |> stub(:fetch_config!, fn -> config end)\n  end\n\n  describe \"SIRI item support\" do\n    test \"denies GET query\" do\n      slug = \"an-existing-identifier\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.SIRI{\n          identifier: slug,\n          target_url: \"http://localhost/some-remote-resource\",\n          requestor_ref: \"the-secret-ref\",\n          request_headers: [{\"Content-Type\", \"text/xml; charset=utf-8\"}]\n        }\n      })\n\n      resp =\n        proxy_conn()\n        # NOTE: required due to plug testing, not by the actual server\n        |> put_req_header(\"content-type\", \"application/soap+xml\")\n        |> get(\"/resource/#{slug}\", \"Test\")\n\n      assert resp.status == 405\n    end\n\n    test \"forwards POST query to the remote server\" do\n      slug = \"an-existing-identifier\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.SIRI{\n          identifier: slug,\n          target_url: target_url = \"http://localhost/some-remote-resource\",\n          requestor_ref: target_requestor_ref = \"the-secret-ref\",\n          request_headers: configured_request_headers = [{\"Content-Type\", \"text/xml; charset=utf-8\"}]\n        }\n      })\n\n      timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n      incoming_requestor_ref = @the_good_requestor_ref\n      message_id = \"Test::Message::#{Ecto.UUID.generate()}\"\n      stop_ref = \"SomeStopRef\"\n\n      incoming_query =\n        SIRIQueries.siri_query_from_builder(\n          timestamp,\n          incoming_requestor_ref,\n          message_id,\n          stop_ref\n        )\n\n      # we simulate an incoming payload where the caller did not provide a prolog, to verify\n      # later that we always add it with explicit version ourselves (see note below)\n      refute incoming_query |> String.contains?(\"<?xml\")\n\n      expected_forwarded_response_headers = [\n        {\"content-type\", \"application/soap+xml\"},\n        {\"content-length\", \"7350\"},\n        {\"date\", \"Thu, 10 Jun 2021 19:45:14 GMT\"}\n      ]\n\n      expect(Unlock.HTTP.Client.Mock, :post!, fn remote_url, headers, body_sent_to_remote_server ->\n        assert remote_url == target_url\n        assert headers == configured_request_headers\n\n        # We have decided to always add the prolog with explicit version\n        # when forwarding to the remote server.\n        # See https://github.com/etalab/transport-site/pull/2459#discussion_r925613234 for in-depth discussion.\n        body_sent_to_remote_server = body_sent_to_remote_server |> IO.iodata_to_binary()\n\n        assert body_sent_to_remote_server |> String.contains?(~s(<?xml version=\"1.0\"))\n\n        assert body_sent_to_remote_server ==\n                 SIRIQueries.siri_query_from_builder(\n                   timestamp,\n                   # requestor_ref must have been changed from the incoming one\n                   target_requestor_ref,\n                   message_id,\n                   stop_ref,\n                   # prolog must be there with explicit version\n                   version: \"1.0\"\n                 )\n\n        %{\n          body: \"<Everything></Everything>\" |> :zlib.gzip(),\n          headers:\n            expected_forwarded_response_headers ++\n              [\n                # some headers we do not want to forward to the client\n                {\"x-amzn-request-id\", \"11111111-2222-3333-4444-f4c5846f0a85\"},\n                {\"x-cache\", \"Miss from cloudfront\"},\n                # NOTE: testing the edge case where the response is gzipped ;\n                # the header should be interpreted and the response decompressed\n                {\"Content-Encoding\", \"gzip\"}\n              ],\n          status: 200\n        }\n      end)\n\n      resp =\n        proxy_conn()\n        # NOTE: required due to plug testing, not by the actual server\n        |> put_req_header(\"content-type\", \"application/soap+xml\")\n        |> post(\"/resource/an-existing-identifier\", incoming_query)\n\n      assert resp.status == 200\n      # unzipped for now\n      assert resp.resp_body == \"<Everything></Everything>\"\n\n      remaining_headers =\n        resp.resp_headers\n        |> Enum.reject(fn {h, _v} -> Enum.member?(existing_proxy_headers(), h) end)\n\n      assert remaining_headers == expected_forwarded_response_headers\n    end\n\n    test \"forbids query when incorrect input requestor ref is provided\" do\n      slug = \"an-existing-identifier\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.SIRI{\n          identifier: slug,\n          target_url: \"http://localhost/some-remote-resource\",\n          requestor_ref: \"the-secret-ref\",\n          request_headers: [{\"Content-Type\", \"text/xml; charset=utf-8\"}]\n        }\n      })\n\n      timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n      incoming_requestor_ref = @a_bad_requestor_ref\n      message_id = \"Test::Message::#{Ecto.UUID.generate()}\"\n      stop_ref = \"SomeStopRef\"\n\n      query =\n        SIRIQueries.siri_query_from_builder(\n          timestamp,\n          incoming_requestor_ref,\n          message_id,\n          stop_ref\n        )\n\n      resp =\n        proxy_conn()\n        # NOTE: required due to plug testing, not by the actual server\n        |> put_req_header(\"content-type\", \"application/soap+xml\")\n        |> post(\"/resource/an-existing-identifier\", query)\n\n      assert resp.status == 403\n      assert resp.resp_body == \"Forbidden\"\n    end\n  end\n\n  describe \"GTFS-RT item support\" do\n    test \"denies POST query\" do\n      slug = \"an-existing-identifier\"\n\n      ttl_in_seconds = 30\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.Generic.HTTP{\n          identifier: slug,\n          target_url: \"http://localhost/some-remote-resource\",\n          ttl: ttl_in_seconds\n        }\n      })\n\n      resp =\n        proxy_conn()\n        |> post(\"/resource/#{slug}\")\n\n      assert resp.status == 405\n    end\n\n    test \"handles GET /resource/:slug\" do\n      slug = \"an-existing-identifier\"\n\n      ttl_in_seconds = 30\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.Generic.HTTP{\n          identifier: slug,\n          target_url: target_url = \"http://localhost/some-remote-resource\",\n          ttl: ttl_in_seconds\n        }\n      })\n\n      expected_forwarded_response_headers = [\n        {\"content-type\", \"application/json\"},\n        {\"content-length\", \"7350\"},\n        {\"date\", \"Thu, 10 Jun 2021 19:45:14 GMT\"}\n      ]\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, fn url, _headers, _options = [] ->\n        assert url == target_url\n\n        %Unlock.HTTP.Response{\n          body: \"somebody-to-love\",\n          status: 207,\n          headers:\n            expected_forwarded_response_headers ++\n              [\n                # unwanted headers\n                {\"x-amzn-request-id\", \"11111111-2222-3333-4444-f4c5846f0a85\"},\n                {\"x-cache\", \"Miss from cloudfront\"}\n              ]\n        }\n      end)\n\n      resp =\n        proxy_conn()\n        |> get(\"/resource/an-existing-identifier\")\n\n      assert resp.resp_body == \"somebody-to-love\"\n      assert resp.status == 207\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{}, %{target: \"proxy:an-existing-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{}, %{target: \"proxy:an-existing-identifier\"}}\n\n      # these ones are added by our pipeline for now\n      assert Plug.Conn.get_resp_header(resp, \"x-request-id\")\n      # we'll provide a finer grained algorithm later if useful, for now assume no cache is done\n      assert Plug.Conn.get_resp_header(resp, \"cache-control\") == [\n               \"max-age=0, private, must-revalidate\"\n             ]\n\n      # we enforce downloads for now, even if this results sometimes in incorrect filenames\n      # due to incorrect content-type headers from the remote\n      assert Plug.Conn.get_resp_header(resp, \"content-disposition\") == [\"attachment\"]\n\n      remaining_headers =\n        resp.resp_headers\n        |> Enum.reject(fn {h, _v} -> Enum.member?(existing_proxy_headers(), h) end)\n\n      assert remaining_headers == expected_forwarded_response_headers\n\n      verify!(Unlock.HTTP.Client.Mock)\n\n      # subsequent queries should work based on cache\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, 0, fn _url, _headers, _options -> nil end)\n\n      {:ok, ttl} = Cachex.ttl(Unlock.Shared.cache_name(), \"resource:an-existing-identifier\")\n      assert_in_delta ttl / 1_000, ttl_in_seconds, 1\n\n      resp =\n        proxy_conn()\n        |> get(\"/resource/an-existing-identifier\")\n\n      assert resp.resp_body == \"somebody-to-love\"\n      assert resp.status == 207\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{}, %{target: \"proxy:an-existing-identifier\"}}\n\n      refute_received {:telemetry_event, [:proxy, :request, :internal], %{}, %{target: \"proxy:an-existing-identifier\"}}\n\n      # NOTE: this whole test will have to be DRYed\n      remaining_headers =\n        resp.resp_headers\n        |> Enum.reject(fn {h, _v} -> Enum.member?(existing_proxy_headers(), h) end)\n\n      assert remaining_headers == expected_forwarded_response_headers\n\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n\n    test \"handles GET /resource/:slug with disk caching\" do\n      slug = \"an-existing-identifier\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.Generic.HTTP{\n          identifier: slug,\n          target_url: target_url = \"http://localhost/some-remote-resource\",\n          ttl: ttl_in_seconds = 30,\n          caching: \"disk\"\n        }\n      })\n\n      expected_forwarded_response_headers = [\n        {\"content-type\", \"application/json\"},\n        {\"content-length\", \"7350\"},\n        {\"date\", \"Thu, 10 Jun 2021 19:45:14 GMT\"},\n        {\"last-modified\", \"Thu, 10 Jun 2021 18:30:00 GMT\"},\n        {\"etag\", \"foobar\"}\n      ]\n\n      assert expected_forwarded_response_headers |> Map.new() |> Map.keys() |> MapSet.new() ==\n               Shared.Proxy.forwarded_headers_allowlist() |> MapSet.new()\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:stream!, fn ^target_url, [] = _headers, path ->\n        File.write!(path, \"somebody-to-love\")\n\n        headers =\n          expected_forwarded_response_headers ++\n            [\n              # unwanted headers\n              {\"x-amzn-request-id\", \"11111111-2222-3333-4444-f4c5846f0a85\"},\n              {\"x-cache\", \"Miss from cloudfront\"}\n            ]\n\n        %Unlock.HTTP.Response{body: nil, status: 200, headers: headers}\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/an-existing-identifier\")\n\n      assert resp.resp_body == \"somebody-to-love\"\n      assert resp.status == 200\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{}, %{target: \"proxy:an-existing-identifier\"}}\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{}, %{target: \"proxy:an-existing-identifier\"}}\n\n      # these ones are added by our pipeline for now\n      assert Plug.Conn.get_resp_header(resp, \"x-request-id\")\n      # we'll provide a finer grained algorithm later if useful, for now assume no cache is done\n      assert Plug.Conn.get_resp_header(resp, \"cache-control\") == [\n               \"max-age=0, private, must-revalidate\"\n             ]\n\n      # we enforce downloads for now, even if this results sometimes in incorrect filenames\n      # due to incorrect content-type headers from the remote\n      assert Plug.Conn.get_resp_header(resp, \"content-disposition\") == [\"attachment\"]\n\n      remaining_headers = Enum.reject(resp.resp_headers, fn {h, _v} -> Enum.member?(existing_proxy_headers(), h) end)\n      assert remaining_headers == expected_forwarded_response_headers\n\n      verify!(Unlock.HTTP.Client.Mock)\n\n      # Data has been saved to disk\n      path = System.tmp_dir!() |> Path.join(\"unlock_disk_cache:\" <> slug)\n      assert File.exists?(path)\n      assert File.read!(path) == \"somebody-to-love\"\n\n      # subsequent queries should work based on cache\n      {:ok, ttl} = Cachex.ttl(Unlock.Shared.cache_name(), \"resource:#{slug}\")\n      assert_in_delta ttl / 1_000, ttl_in_seconds, 1\n\n      resp = proxy_conn() |> get(\"/resource/#{slug}\")\n      assert resp.resp_body == \"somebody-to-love\"\n      assert resp.status == 200\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{}, %{target: \"proxy:an-existing-identifier\"}}\n      refute_received {:telemetry_event, [:proxy, :request, :internal], %{}, %{target: \"proxy:an-existing-identifier\"}}\n\n      remaining_headers = Enum.reject(resp.resp_headers, fn {h, _v} -> Enum.member?(existing_proxy_headers(), h) end)\n      assert remaining_headers == expected_forwarded_response_headers\n\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n\n    test \"handles HEAD /resource/:slug\" do\n      slug = \"an-existing-identifier\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.Generic.HTTP{\n          identifier: slug,\n          target_url: target_url = \"http://localhost/some-remote-resource\",\n          ttl: 30\n        }\n      })\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, fn url, _headers = [], _options ->\n        assert url == target_url\n\n        %Unlock.HTTP.Response{\n          body: \"OK\",\n          status: 200,\n          headers: []\n        }\n      end)\n\n      resp =\n        proxy_conn()\n        |> head(\"/resource/an-existing-identifier\")\n\n      # head = empty body\n      assert resp.resp_body == \"\"\n      assert resp.status == 200\n    end\n\n    test \"handles 404\" do\n      # such empty\n      setup_proxy_config(%{})\n\n      resp =\n        proxy_conn()\n        |> get(\"/resource/unknown\")\n\n      assert resp.resp_body == \"Not Found\"\n      assert resp.status == 404\n    end\n\n    test \"handles optional hardcoded request headers\" do\n      setup_proxy_config(%{\n        \"some-identifier\" => %Unlock.Config.Item.Generic.HTTP{\n          identifier: \"some-identifier\",\n          target_url: \"http://localhost/some-remote-resource\",\n          ttl: 10,\n          request_headers: [\n            {\"SomeHeader\", \"SomeValue\"}\n          ]\n        }\n      })\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, fn _url, request_headers, _options ->\n        # The important assertion is here!\n        assert request_headers == [{\"SomeHeader\", \"SomeValue\"}]\n\n        # but I'll also use the body to ensure\n        %Unlock.HTTP.Response{body: request_headers |> inspect, status: 200, headers: []}\n      end)\n\n      resp =\n        proxy_conn()\n        |> get(\"/resource/some-identifier\")\n\n      assert resp.resp_body == ~s([{\"SomeHeader\", \"SomeValue\"}])\n      assert resp.status == 200\n\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n\n    test \"supports override of response headers\" do\n      setup_proxy_config(%{\n        \"some-identifier\" => %Unlock.Config.Item.Generic.HTTP{\n          identifier: \"some-identifier\",\n          target_url: \"http://localhost/some-remote-resource\",\n          ttl: 10,\n          response_headers: [\n            # upper-case should be converted to lower-case\n            {\"Content-disposition\", \"attachment; filename=data.csv\"}\n          ]\n        }\n      })\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, fn _url, _request_headers, _options ->\n        %Unlock.HTTP.Response{\n          body: \"content\",\n          status: 200,\n          headers: [{\"content-disposition\", \"foobar\"}]\n        }\n      end)\n\n      resp =\n        proxy_conn()\n        |> get(\"/resource/some-identifier\")\n\n      assert resp.resp_headers |> Enum.filter(fn {k, _v} -> k == \"content-disposition\" end) ==\n               [{\"content-disposition\", \"attachment; filename=data.csv\"}]\n\n      assert resp.status == 200\n\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n\n    test \"handles remote error\" do\n      url = \"http://localhost/some-remote-resource\"\n      identifier = \"foo\"\n\n      setup_proxy_config(%{\n        identifier => %Unlock.Config.Item.Generic.HTTP{\n          identifier: identifier,\n          target_url: url,\n          ttl: 10\n        }\n      })\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, fn ^url, _request_headers, _options ->\n        raise RuntimeError\n      end)\n\n      logs =\n        capture_log(fn ->\n          resp = proxy_conn() |> get(\"/resource/#{identifier}\")\n\n          # Got an exception, nothing is stored in cache\n          assert {:ok, []} == Cachex.keys(Unlock.Shared.cache_name())\n          assert resp.status == 502\n          assert resp.resp_body == \"Bad Gateway\"\n        end)\n\n      assert logs =~ ~r/RuntimeError/\n\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n\n    @tag :skip\n    test \"handles proxy error\"\n\n    @tag :skip\n    test \"times out without locking the whole thing\"\n  end\n\n  describe \"Aggregate item support\" do\n    @expected_headers [\n      \"id_pdc_itinerance\",\n      \"etat_pdc\",\n      \"occupation_pdc\",\n      \"horodatage\",\n      \"etat_prise_type_2\",\n      \"etat_prise_type_combo_ccs\",\n      \"etat_prise_type_chademo\",\n      \"etat_prise_type_ef\"\n    ]\n\n    defmodule Helper do\n      @doc \"\"\"\n      Given an ordered list of headers, and rows as maps (which are inherently unordered), build\n      a CSV respecting the exact set of headers in the right orders (as `TableSchema` dictates by default)\n      \"\"\"\n      def data_as_csv(headers, rows_as_maps, line_separator) do\n        rows =\n          rows_as_maps\n          |> Enum.map(fn row ->\n            headers\n            |> Enum.map(fn c -> Map.fetch!(row, c) end)\n          end)\n\n        # NOTE: not using the csv library to generate csv here on purpose, so that\n        # we can actually test the behaviour with a different code path.\n        [headers | rows]\n        |> Enum.map(fn data -> data |> Enum.join(\",\") end)\n        |> Enum.map_join(fn data -> data <> line_separator end)\n      end\n    end\n\n    def build_unique_data_row do\n      # Not very respectful of the schema at the moment, but good enough for the tests\n      %{\n        \"id_pdc_itinerance\" => \"FRA12\" <> (Ecto.UUID.generate() |> String.upcase()),\n        \"etat_pdc\" => \"xyz\",\n        \"occupation_pdc\" => \"xyz\",\n        \"horodatage\" => \"xyz\",\n        \"etat_prise_type_2\" => \"xyz\",\n        \"etat_prise_type_combo_ccs\" => \"xyz\",\n        \"etat_prise_type_chademo\" => \"xyz\",\n        \"etat_prise_type_ef\" => \"xyz\"\n      }\n    end\n\n    def setup_aggregate_proxy_config(slug) do\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.Aggregate{\n          identifier: slug,\n          feeds: [\n            %Unlock.Config.Item.Generic.HTTP{\n              identifier: \"first-uuid\",\n              slug: \"first-slug\",\n              target_url: url = \"http://localhost:1234\",\n              ttl: 10\n            },\n            %Unlock.Config.Item.Generic.HTTP{\n              identifier: \"second-uuid\",\n              slug: \"second-slug\",\n              target_url: second_url = \"http://localhost:5678\",\n              ttl: 10\n            }\n          ]\n        }\n      })\n\n      {url, second_url}\n    end\n\n    def setup_remote_responses(responses) do\n      # Processing is concurrent and while the output is \"ordered\" by design, the requests\n      # are not guaranteed to come in the right order, so we have to cheat a bit here.\n      # We introduce flexibility to ensure whatever target is processed first, N queries are made\n      # and the rest (order & content) is tested by the final assertion on response body.\n      response_function = fn url, _request_headers, _options ->\n        data = Map.fetch!(responses, url)\n        # allow function to define data\n        data = if is_function(data), do: data.(), else: data\n        # append optional response headers\n        {status, body, headers} = if match?({_a, _b}, data), do: :erlang.append_element(data, []), else: data\n        %Unlock.HTTP.Response{body: body, status: status, headers: headers}\n      end\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, responses |> Map.keys() |> length(), response_function)\n    end\n\n    test \"handles GET /resource/:slug\" do\n      {url, second_url} = setup_aggregate_proxy_config(\"an-existing-aggregate-identifier\")\n\n      setup_remote_responses(%{\n        # On line separators: both \"\\r\\n\" (Windows) and \"\\n\" (Linux, generally) can be seen\n        url => {200, Helper.data_as_csv(@expected_headers, [first_data_row = build_unique_data_row()], \"\\r\\n\")},\n        second_url => {200, Helper.data_as_csv(@expected_headers, [second_data_row = build_unique_data_row()], \"\\n\")}\n      })\n\n      {resp, logs} =\n        with_log(fn ->\n          proxy_conn()\n          |> get(\"/resource/an-existing-aggregate-identifier\")\n        end)\n\n      assert resp.status == 200\n      # Note: TIL: NimbleCSV.RFC4180.dump_to_iodata generates \"\\r\\n\" (apparently)\n      assert resp.resp_body == Helper.data_as_csv(@expected_headers, [first_data_row, second_data_row], \"\\r\\n\")\n      headers = resp.resp_headers |> Enum.into(%{})\n      assert headers[\"content-disposition\"] =~ ~r/^attachment; filename=an-existing-aggregate-identifier-.*\\.csv$/\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-aggregate-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-aggregate-identifier:first-uuid\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-aggregate-identifier:second-uuid\"}}\n\n      refute_received {:telemetry_event, _, _, _}\n\n      assert logs =~ ~r|first-uuid responded with HTTP code 200|\n      assert logs =~ ~r|second-uuid responded with HTTP code 200|\n\n      verify!(Unlock.HTTP.Client.Mock)\n\n      # more calls should not result in any real query\n      {resp, logs} =\n        with_log(fn ->\n          proxy_conn()\n          |> get(\"/resource/an-existing-aggregate-identifier\")\n        end)\n\n      assert resp.status == 200\n      assert resp.resp_body == Helper.data_as_csv(@expected_headers, [first_data_row, second_data_row], \"\\r\\n\")\n\n      assert logs =~ ~r|Proxy response for an-existing-aggregate-identifier:first-uuid served from cache|\n      assert logs =~ ~r|Proxy response for an-existing-aggregate-identifier:second-uuid served from cache|\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-aggregate-identifier\"}}\n\n      refute_received {:telemetry_event, _, _, _}\n    end\n\n    test \"drops bogus 200 sub-feed content safely\" do\n      {first_url, second_url} = setup_aggregate_proxy_config(\"an-existing-aggregate-identifier\")\n\n      setup_remote_responses(%{\n        first_url => {200, Helper.data_as_csv(@expected_headers, [first_data_row = build_unique_data_row()], \"\\r\\n\")},\n        second_url => {200, Helper.data_as_csv([\"foo\"], [%{\"foo\" => \"bar\"}], \"\\n\")}\n      })\n\n      {resp, logs} =\n        with_log(fn ->\n          proxy_conn()\n          |> get(\"/resource/an-existing-aggregate-identifier\")\n        end)\n\n      # we consider that the overall response is OK (and will provide observability of bogus feeds elsewhere)\n      assert resp.status == 200\n      # does not include second (bogus) data, but still includes first (non bogus) data\n      assert resp.resp_body == Helper.data_as_csv(@expected_headers, [first_data_row], \"\\r\\n\")\n      refute String.contains?(resp.resp_body, \"foo\")\n\n      assert logs =~ ~r|Broken stream for origin second-slug/second-uuid \\(headers are \\[\"foo\"\\]\\)|\n\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n\n    test \"drops sub-feed raising exception with simulated 502 (e.g. request hard error)\" do\n      {first_url, second_url} = setup_aggregate_proxy_config(\"an-existing-aggregate-identifier\")\n\n      setup_remote_responses(%{\n        first_url => {200, Helper.data_as_csv(@expected_headers, [first_data_row = build_unique_data_row()], \"\\r\\n\")},\n        # this is swallowed by the code and interpreted as 502\n        second_url => fn -> raise %Mint.TransportError{reason: :nxdomain} end\n      })\n\n      {resp, logs} =\n        with_log(fn ->\n          proxy_conn()\n          |> get(\"/resource/an-existing-aggregate-identifier\")\n        end)\n\n      assert resp.status == 200\n      assert resp.resp_body == Helper.data_as_csv(@expected_headers, [first_data_row], \"\\r\\n\")\n\n      assert logs =~ ~r|Non-200 response for origin second-slug/second-uuid \\(status=502\\), response has been dropped|\n\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n\n    test \"hides a non-200 feed from the output without polluting 200 feeds\" do\n      slug = \"an-existing-aggregate-identifier\"\n\n      {first_url, second_url} = setup_aggregate_proxy_config(slug)\n\n      setup_remote_responses(%{\n        first_url => {200, Helper.data_as_csv(@expected_headers, [first_data_row = build_unique_data_row()], \"\\r\\n\")},\n        second_url => {500, Helper.data_as_csv(@expected_headers, [second_data_row = build_unique_data_row()], \"\\n\")}\n      })\n\n      {resp, logs} =\n        with_log(fn ->\n          proxy_conn()\n          |> get(\"/resource/an-existing-aggregate-identifier\")\n        end)\n\n      assert resp.status == 200\n      # bogus content (500) is left out\n      refute String.contains?(resp.resp_body, second_data_row |> Map.fetch!(\"id_pdc_itinerance\"))\n      assert resp.resp_body == Helper.data_as_csv(@expected_headers, [first_data_row], \"\\r\\n\")\n\n      # we still want the event on the bogus remote\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-aggregate-identifier:second-uuid\"}}\n\n      assert logs =~ ~r|Non-200 response for origin second-slug/second-uuid \\(status=500\\), response has been dropped|\n\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n\n    test \"passes `max_redirects` option to Finch wrapper\" do\n      # not very elegant test, giving another hint that it would\n      # be a good idea to migrate to `Req` here to leverage\n      # its testing facilities ultimately\n      slug = \"an-existing-aggregate-identifier\"\n      {first_url, second_url} = setup_aggregate_proxy_config(slug)\n      main_pid = self()\n      body = Helper.data_as_csv(@expected_headers, [build_unique_data_row()], \"\\r\\n\")\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, 2, fn a, b, c ->\n        # NOTE: we need a messaging trick here because expectations are\n        # not properly asserted due to how errors are handled underneath\n        send(main_pid, {:query_parameters, a, b, c})\n        %Unlock.HTTP.Response{body: body, headers: [], status: 200}\n      end)\n\n      proxy_conn()\n      |> get(\"/resource/an-existing-aggregate-identifier\")\n\n      # assert that the expected max_redirects count has been passed\n      assert_received {:query_parameters, ^first_url, [], [max_redirects: 2]}\n      assert_received {:query_parameters, ^second_url, [], [max_redirects: 2]}\n    end\n\n    def wait_til_dead(pid) do\n      if Process.alive?(pid) do\n        :timer.sleep(5)\n        wait_til_dead(pid)\n      else\n        pid\n      end\n    end\n\n    # NOTE: this test can be simplified if we stop using `Cachex` directly during tests & instead use a Behaviour\n    test \"drops data safely when meeting async stream timeout\" do\n      {first_url, second_url} = setup_aggregate_proxy_config(\"an-existing-aggregate-identifier\")\n\n      # This is what simulates the timeout (a long duration, longer than the `Task.async_stream` `:timout` parameter).\n      # For technical reasons probably caused by the fact that we use global state via Cachex\n      # and how Cachex works + timeouts handling in Cachex/mox combination, I ended up avoiding\n      # calling `:timer.sleep` directly in the Mox call, otherwise it will make Cachex/Mox unresponsive\n      # in **other** tests. I create a dedicated process for that.\n      flag_pid = spawn(fn -> :timer.sleep(10_000) end)\n\n      setup_remote_responses(%{\n        first_url => {200, Helper.data_as_csv(@expected_headers, [first_data_row = build_unique_data_row()], \"\\r\\n\")},\n        # second call: wait until the flag process has stopped\n        second_url => fn ->\n          ref = Process.monitor(flag_pid)\n\n          receive do\n            {:DOWN, ^ref, _, _, _} -> nil\n          end\n        end\n      })\n\n      # Lower `Task.async_stream` timeout for this test only, via the process dictionary,\n      # so we can trigger it without waiting 5 seconds during each test run.\n      # This approach is `async: true` compatible, if we improve the test suite in that direction.\n      Process.put(:override_aggregate_processor_async_timeout, 50)\n\n      {resp, logs} =\n        with_log(fn ->\n          proxy_conn()\n          |> get(\"/resource/an-existing-aggregate-identifier\")\n        end)\n\n      assert resp.status == 200\n\n      # make sure timout is not too aggressive for the 200 feed\n      assert logs =~ ~r|first-uuid responded with HTTP code 200|\n      assert logs =~ ~r|Timeout for origin second-uuid, response has been dropped|\n\n      # first part must still be there despite the second part timeout\n      assert resp.resp_body == Helper.data_as_csv(@expected_headers, [first_data_row], \"\\r\\n\")\n\n      # finally, kill the flag process so that the Mox call ends up in a cleaner fashion\n      Process.exit(flag_pid, :kill)\n      wait_til_dead(flag_pid)\n      # Empirically, it appears we still need a bit of delay here to avoid\n      # polluting other tests with timeouts. Maybe linked to how Cachex mailbox system works.\n      :timer.sleep(50)\n\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n\n    test \"limit mode allows to only get a sample of each source\" do\n      {first_url, second_url} = setup_aggregate_proxy_config(\"an-existing-aggregate-identifier\")\n\n      setup_remote_responses(%{\n        first_url =>\n          {200,\n           Helper.data_as_csv(\n             @expected_headers,\n             [row_one_one = build_unique_data_row(), _row_one_two = build_unique_data_row()],\n             \"\\r\\n\"\n           )},\n        second_url =>\n          {200,\n           Helper.data_as_csv(\n             @expected_headers,\n             [row_two_one = build_unique_data_row(), _row_two_two = build_unique_data_row()],\n             \"\\n\"\n           )}\n      })\n\n      resp =\n        proxy_conn()\n        |> get(\"/resource/an-existing-aggregate-identifier\", limit_per_source: 1)\n\n      assert resp.status == 200\n      assert resp.resp_body == Helper.data_as_csv(@expected_headers, [row_one_one, row_two_one], \"\\r\\n\")\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n\n    test \"source tracing adds one column to identify each remote\" do\n      {first_url, second_url} = setup_aggregate_proxy_config(\"an-existing-aggregate-identifier\")\n\n      setup_remote_responses(%{\n        first_url => {200, Helper.data_as_csv(@expected_headers, [first_data_row = build_unique_data_row()], \"\\r\\n\")},\n        second_url => {200, Helper.data_as_csv(@expected_headers, [second_data_row = build_unique_data_row()], \"\\n\")}\n      })\n\n      resp =\n        proxy_conn()\n        |> get(\"/resource/an-existing-aggregate-identifier\", include_origin: 1)\n\n      assert resp.status == 200\n      expected_headers = @expected_headers ++ [\"origin\", \"slug\"]\n      first_expected_output_row = first_data_row |> Map.put(\"origin\", \"first-uuid\") |> Map.put(\"slug\", \"first-slug\")\n      second_expected_output_row = second_data_row |> Map.put(\"origin\", \"second-uuid\") |> Map.put(\"slug\", \"second-slug\")\n\n      assert resp.resp_body ==\n               Helper.data_as_csv(expected_headers, [first_expected_output_row, second_expected_output_row], \"\\r\\n\")\n\n      verify!(Unlock.HTTP.Client.Mock)\n    end\n  end\n\n  describe \"S3 item support\" do\n    test \"handles GET /resource/:slug (success case)\" do\n      slug = \"an-existing-s3-identifier\"\n      ttl_in_seconds = 30\n      bucket_key = \"aggregates\"\n      path = \"irve_static_consolidation.csv\"\n      # automatically built by the app based on `bucket_key`\n      expected_bucket = \"transport-data-gouv-fr-aggregates-test\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.S3{\n          identifier: slug,\n          bucket: bucket_key,\n          path: path,\n          ttl: ttl_in_seconds,\n          response_headers: [{\"x-key\", \"foobar\"}]\n        }\n      })\n\n      content = \"CONTENT\"\n      etag = Ecto.UUID.generate()\n\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.Operation.S3{} = operation ->\n        assert %ExAws.Operation.S3{\n                 bucket: ^expected_bucket,\n                 path: ^path,\n                 http_method: :head,\n                 service: :s3\n               } = operation\n\n        %{headers: [{\"x-header\", \"foo\"}, {\"etag\", etag}], status_code: 200}\n      end)\n\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.S3.Download{} = operation ->\n        assert %ExAws.S3.Download{\n                 bucket: ^expected_bucket,\n                 path: ^path,\n                 dest: dest,\n                 service: :s3\n               } = operation\n\n        File.write!(dest, content)\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/an-existing-s3-identifier\")\n\n      assert resp.resp_body == content\n      assert resp.status == 200\n      # original headers are not forwarded\n      assert Plug.Conn.get_resp_header(resp, \"x-header\") == []\n      # enforce the filename provided via the config (especially to get its extension passed to clients)\n      assert Plug.Conn.get_resp_header(resp, \"content-disposition\") == [\"attachment; filename=#{path}\"]\n      # response_headers from the configuration are added\n      assert Plug.Conn.get_resp_header(resp, \"x-key\") == [\"foobar\"]\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      # Downloading again, should hit the cache\n      resp = proxy_conn() |> get(\"/resource/an-existing-s3-identifier\")\n      assert resp.resp_body == content\n      assert resp.status == 200\n\n      refute_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      verify!(Transport.ExAWS.Mock)\n    end\n\n    test \"handles GET /resource/:slug - checks ETag and skips download if it stayed the same\" do\n      slug = \"an-existing-s3-identifier\"\n      ttl_in_seconds = -1\n      bucket_key = \"aggregates\"\n      path = \"irve_static_consolidation.csv\"\n      # automatically built by the app based on `bucket_key`\n      expected_bucket = \"transport-data-gouv-fr-aggregates-test\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.S3{\n          identifier: slug,\n          bucket: bucket_key,\n          path: path,\n          ttl: ttl_in_seconds\n        }\n      })\n\n      content = \"CONTENT\"\n      etag = Ecto.UUID.generate()\n\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.Operation.S3{} = operation ->\n        assert %ExAws.Operation.S3{\n                 bucket: ^expected_bucket,\n                 path: ^path,\n                 http_method: :head,\n                 service: :s3\n               } = operation\n\n        %{headers: [{\"etag\", etag}], status_code: 200}\n      end)\n\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.S3.Download{} = operation ->\n        assert %ExAws.S3.Download{\n                 bucket: ^expected_bucket,\n                 path: ^path,\n                 dest: dest,\n                 service: :s3\n               } = operation\n\n        File.write!(dest, content)\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/an-existing-s3-identifier\")\n\n      assert resp.resp_body == content\n      assert resp.status == 200\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      # Downloading again, should hit the cache\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.Operation.S3{} = operation ->\n        assert %ExAws.Operation.S3{\n                 bucket: ^expected_bucket,\n                 path: ^path,\n                 http_method: :head,\n                 service: :s3\n               } = operation\n\n        %{headers: [{\"etag\", etag}], status_code: 200}\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/an-existing-s3-identifier\")\n      assert resp.resp_body == content\n      assert resp.status == 200\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      verify!(Transport.ExAWS.Mock)\n    end\n\n    test \"handles GET /resource/:slug - checks ETag and downloads again if ETag changed\" do\n      slug = \"an-existing-s3-identifier\"\n      ttl_in_seconds = -1\n      bucket_key = \"aggregates\"\n      path = \"irve_static_consolidation.csv\"\n      # automatically built by the app based on `bucket_key`\n      expected_bucket = \"transport-data-gouv-fr-aggregates-test\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.S3{\n          identifier: slug,\n          bucket: bucket_key,\n          path: path,\n          ttl: ttl_in_seconds\n        }\n      })\n\n      content = \"CONTENT\"\n      etag = Ecto.UUID.generate()\n\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.Operation.S3{} = operation ->\n        assert %ExAws.Operation.S3{\n                 bucket: ^expected_bucket,\n                 path: ^path,\n                 http_method: :head,\n                 service: :s3\n               } = operation\n\n        %{headers: [{\"etag\", etag}], status_code: 200}\n      end)\n\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.S3.Download{} = operation ->\n        assert %ExAws.S3.Download{\n                 bucket: ^expected_bucket,\n                 path: ^path,\n                 dest: dest,\n                 service: :s3\n               } = operation\n\n        File.write!(dest, content)\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/an-existing-s3-identifier\")\n\n      assert resp.resp_body == content\n      assert resp.status == 200\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      # Downloading again\n      # But this time the ETag changed! We should download again.\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.Operation.S3{} = operation ->\n        assert %ExAws.Operation.S3{\n                 bucket: ^expected_bucket,\n                 path: ^path,\n                 http_method: :head,\n                 service: :s3\n               } = operation\n\n        %{headers: [{\"etag\", etag <> Ecto.UUID.generate()}], status_code: 200}\n      end)\n\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.S3.Download{} = operation ->\n        assert %ExAws.S3.Download{\n                 bucket: ^expected_bucket,\n                 path: ^path,\n                 dest: dest,\n                 service: :s3\n               } = operation\n\n        File.write!(dest, content)\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/an-existing-s3-identifier\")\n      assert resp.resp_body == content\n      assert resp.status == 200\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      verify!(Transport.ExAWS.Mock)\n    end\n\n    test \"handles GET /resource/:slug (ExAWS failure case)\" do\n      slug = \"an-existing-s3-identifier\"\n      ttl_in_seconds = 30\n      bucket_key = \"aggregates\"\n      path = \"irve_static_consolidation.csv\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.S3{\n          identifier: slug,\n          bucket: bucket_key,\n          path: path,\n          ttl: ttl_in_seconds\n        }\n      })\n\n      Transport.ExAWS.Mock\n      |> expect(:request!, fn %ExAws.Operation.S3{} = _operation ->\n        # simulate what is raised by `request!` in case of failed `get_object`\n        raise ExAws.Error, \"something bad happened! maybe SENSITIVE INFO MAY BE HERE\"\n      end)\n\n      {resp, logs} =\n        with_log(fn ->\n          proxy_conn()\n          |> get(\"/resource/an-existing-s3-identifier\")\n        end)\n\n      assert logs =~ ~r/something bad happened! maybe SENSITIVE INFO MAY BE HERE/\n\n      # content of error should not be forwarded, instead we want a sanitized message\n      assert resp.resp_body == \"Bad Gateway\"\n      assert resp.status == 502\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-s3-identifier\"}}\n\n      verify!(Transport.ExAWS.Mock)\n    end\n  end\n\n  describe \"GBFS item support\" do\n    test \"handles GET /resource/:slug/gbfs.json (success case)\" do\n      slug = \"an-existing-gbfs-identifier\"\n      ttl_in_seconds = 30\n      base_url = \"https://example.com/gbfs.json\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.GBFS{\n          identifier: slug,\n          base_url: base_url,\n          ttl: ttl_in_seconds,\n          response_headers: [{\"x-key\", \"foobar\"}]\n        }\n      })\n\n      setup_remote_responses(%{\n        base_url => {200, %{\"feed\" => base_url, \"data\" => \"foobar\"} |> Jason.encode!()}\n      })\n\n      resp = proxy_conn() |> get(\"/resource/#{slug}/gbfs.json\")\n\n      assert resp.resp_body ==\n               %{\"feed\" => \"http://proxy.127.0.0.1:5100/resource/#{slug}/gbfs.json\", \"data\" => \"foobar\"}\n               |> Jason.encode!()\n\n      assert resp.status == 200\n\n      assert [\n               {\"cache-control\", \"max-age=0, private, must-revalidate\"},\n               {\"x-request-id\", _},\n               {\"access-control-allow-origin\", \"*\"},\n               {\"access-control-expose-headers\", \"*\"},\n               # present in `response_headers`, should have been added\n               {\"x-key\", \"foobar\"}\n             ] = resp.resp_headers\n\n      # Cache exist and has been set up properly\n      assert {:ok, [\"resource:an-existing-gbfs-identifier:gbfs.json\"]} == Cachex.keys(Unlock.Shared.cache_name())\n      {:ok, ttl} = Cachex.ttl(Unlock.Shared.cache_name(), \"resource:an-existing-gbfs-identifier:gbfs.json\")\n      assert_in_delta ttl / 1_000, ttl_in_seconds, 1\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-gbfs-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-gbfs-identifier\"}}\n    end\n\n    test \"handles GET /resource/:slug/system_information.json (success case)\" do\n      slug = \"an-existing-gbfs-identifier\"\n      ttl_in_seconds = 30\n      base_url = \"https://example.com/gbfs.json\"\n      requested_url = \"https://example.com/system_information.json\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.GBFS{\n          identifier: slug,\n          base_url: base_url,\n          ttl: ttl_in_seconds,\n          response_headers: [{\"x-key\", \"foobar\"}]\n        }\n      })\n\n      setup_remote_responses(%{\n        requested_url => {200, %{\"feed\" => requested_url, \"data\" => \"foobar\"} |> Jason.encode!()}\n      })\n\n      resp = proxy_conn() |> get(\"/resource/#{slug}/system_information.json\")\n\n      assert resp.resp_body ==\n               %{\"feed\" => \"http://proxy.127.0.0.1:5100/resource/#{slug}/system_information.json\", \"data\" => \"foobar\"}\n               |> Jason.encode!()\n\n      assert resp.status == 200\n\n      assert [\n               {\"cache-control\", \"max-age=0, private, must-revalidate\"},\n               {\"x-request-id\", _},\n               {\"access-control-allow-origin\", \"*\"},\n               {\"access-control-expose-headers\", \"*\"},\n               # present in `response_headers`, should have been added\n               {\"x-key\", \"foobar\"}\n             ] = resp.resp_headers\n\n      # Cache exist and has been set up properly\n      assert {:ok, [\"resource:an-existing-gbfs-identifier:system_information.json\"]} ==\n               Cachex.keys(Unlock.Shared.cache_name())\n\n      {:ok, ttl} =\n        Cachex.ttl(Unlock.Shared.cache_name(), \"resource:an-existing-gbfs-identifier:system_information.json\")\n\n      assert_in_delta ttl / 1_000, ttl_in_seconds, 1\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-gbfs-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-gbfs-identifier\"}}\n    end\n\n    test \"config with query string, request and response headers\" do\n      slug = \"an-existing-gbfs-identifier\"\n      ttl_in_seconds = 30\n      base_url = \"https://example.com/gbfs.json?key=foobar\"\n      requested_url = \"https://example.com/system_information.json?key=foobar\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.GBFS{\n          identifier: slug,\n          base_url: base_url,\n          ttl: ttl_in_seconds,\n          request_headers: [{\"x-key\", \"foo\"}],\n          response_headers: [{\"x-key\", \"foobar\"}]\n        }\n      })\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, fn ^requested_url, [{\"x-key\", \"foo\"}], [] ->\n        body = %{\"feed\" => requested_url, \"data\" => \"foobar\"} |> Jason.encode!()\n        %Unlock.HTTP.Response{body: body, status: 200, headers: [{\"ETag\", \"etag-value\"}]}\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/#{slug}/system_information.json\")\n\n      assert resp.resp_body ==\n               %{\n                 \"feed\" => \"http://proxy.127.0.0.1:5100/resource/#{slug}/system_information.json\",\n                 \"data\" => \"foobar\"\n               }\n               |> Jason.encode!()\n\n      assert resp.status == 200\n\n      assert [\n               {\"cache-control\", \"max-age=0, private, must-revalidate\"},\n               {\"x-request-id\", _},\n               {\"access-control-allow-origin\", \"*\"},\n               {\"access-control-expose-headers\", \"*\"},\n               # present in the response, should be forwarded\n               {\"etag\", \"etag-value\"},\n               # present in `response_headers`, should have been added\n               {\"x-key\", \"foobar\"}\n             ] = resp.resp_headers\n\n      # Cache exist and has been set up properly\n      assert {:ok, [\"resource:an-existing-gbfs-identifier:system_information.json\"]} ==\n               Cachex.keys(Unlock.Shared.cache_name())\n\n      {:ok, ttl} =\n        Cachex.ttl(Unlock.Shared.cache_name(), \"resource:an-existing-gbfs-identifier:system_information.json\")\n\n      assert_in_delta ttl / 1_000, ttl_in_seconds, 1\n\n      assert_received {:telemetry_event, [:proxy, :request, :internal], %{},\n                       %{target: \"proxy:an-existing-gbfs-identifier\"}}\n\n      assert_received {:telemetry_event, [:proxy, :request, :external], %{},\n                       %{target: \"proxy:an-existing-gbfs-identifier\"}}\n    end\n\n    test \"root request without endpoint\" do\n      slug = \"an-existing-gbfs-identifier\"\n      ttl_in_seconds = 30\n      base_url = \"https://example.com/gbfs.json\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.GBFS{\n          identifier: slug,\n          base_url: base_url,\n          ttl: ttl_in_seconds\n        }\n      })\n\n      resp = proxy_conn() |> get(\"/resource/#{slug}\")\n\n      assert resp.status == 404\n\n      assert {:ok, []} == Cachex.keys(Unlock.Shared.cache_name())\n    end\n  end\n\n  defp setup_telemetry_handler do\n    events = Unlock.Telemetry.proxy_request_event_names()\n\n    # NOTE: this is deregistering the `apps/transport`\n    # handlers, which will otherwise create Ecto records.\n    # Also see https://github.com/etalab/transport-site/issues/3975\n    # since there is over-coupling of `apps/transport` tests which\n    # could bring your database to a broken state for tests if you\n    # comment the detach temporarily while running the tests.\n    # Situation to be improved, obviously.\n    events\n    |> Enum.flat_map(&:telemetry.list_handlers(&1))\n    |> Enum.map(& &1.id)\n    |> Enum.uniq()\n    |> Enum.each(&:telemetry.detach/1)\n\n    test_pid = self()\n    # inspired by https://github.com/dashbitco/broadway/blob/main/test/broadway_test.exs\n    :telemetry.attach_many(\n      \"test-handler-#{System.unique_integer()}\",\n      events,\n      fn name, measurements, metadata, _ ->\n        # NOTE: if you change the tuple size, please review all\n        # `refute_received` calls to make sure they remain useful.\n        send(test_pid, {:telemetry_event, name, measurements, metadata})\n      end,\n      nil\n    )\n  end\n\n  defp existing_proxy_headers do\n    [\n      \"x-request-id\",\n      \"cache-control\",\n      \"content-disposition\",\n      \"access-control-allow-origin\",\n      \"access-control-expose-headers\",\n      \"access-control-allow-credentials\"\n    ]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/dynamic_irve/feed_worker_test.exs",
    "content": "defmodule Unlock.DynamicIRVE.FeedWorkerTest do\n  use ExUnit.Case, async: false\n\n  import Mox\n\n  alias Unlock.DynamicIRVE.{FeedStore, FeedWorker}\n\n  setup :verify_on_exit!\n  setup :set_mox_from_context\n\n  setup do\n    on_exit(fn -> :ets.delete_all_objects(FeedStore) end)\n  end\n\n  test \"HTTP 200 + valid CSV → DataFrame stored, no error\" do\n    feed = feed(\"slug-001\")\n    # Forward the URL to the test process: the worker rescues exceptions\n    # (including ExUnit assertions), so we assert outside the Mox callback.\n    test_pid = self()\n\n    expect(Transport.Req.Mock, :get!, fn url, _opts ->\n      send(test_pid, {:fetched, url})\n      %Req.Response{status: 200, body: csv_fixture()}\n    end)\n\n    {:ok, pid} = FeedWorker.start_link({\"parent\", feed})\n    send(pid, :tick)\n    await_genserver_messages_processed(pid)\n\n    assert_received {:fetched, url}\n    assert url == feed.target_url\n\n    stored = FeedStore.get_feed(\"parent\", \"slug-001\")\n    assert %{error: nil, last_updated_at: %DateTime{}, df: %Explorer.DataFrame{} = df} = stored\n    assert Explorer.DataFrame.n_rows(df) == 1\n  end\n\n  test \"HTTP 500 → error recorded, worker still alive\" do\n    feed = feed(\"slug-002\")\n    test_pid = self()\n\n    expect(Transport.Req.Mock, :get!, fn url, _opts ->\n      send(test_pid, {:fetched, url})\n      %Req.Response{status: 500, body: \"oops\"}\n    end)\n\n    {:ok, pid} = FeedWorker.start_link({\"parent\", feed})\n    send(pid, :tick)\n    await_genserver_messages_processed(pid)\n\n    assert_received {:fetched, url}\n    assert url == feed.target_url\n\n    assert %{error: \"HTTP 500\", last_errored_at: %DateTime{}} = FeedStore.get_feed(\"parent\", \"slug-002\")\n    assert Process.alive?(pid)\n  end\n\n  # Sync barrier: a GenServer handles one message at a time, in FIFO order from\n  # any given sender. `:sys.get_state/1` is itself a message — it only returns\n  # once every message we sent earlier from this process has been fully handled.\n  # The returned state is discarded.\n  defp await_genserver_messages_processed(pid), do: :sys.get_state(pid)\n\n  defp feed(slug) do\n    %Unlock.Config.Item.Generic.HTTP{\n      identifier: \"id-#{slug}\",\n      slug: slug,\n      target_url: \"http://example.test/feed/#{slug}\",\n      ttl: 10\n    }\n  end\n\n  defp csv_fixture do\n    headers = Transport.IRVE.DynamicIRVESchema.build_schema_fields_list()\n    row = Enum.map(headers, fn h -> \"val-#{h}\" end)\n    Enum.join([Enum.join(headers, \",\"), Enum.join(row, \",\")], \"\\n\")\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/dynamic_irve_integration_test.exs",
    "content": "defmodule Unlock.DynamicIRVE.IntegrationTest do\n  use TransportWeb.ConnCase, async: false\n\n  import Mox\n\n  alias Unlock.DynamicIRVE.FeedStore\n\n  setup :verify_on_exit!\n  setup :set_mox_from_context\n\n  setup do\n    setup_telemetry_handler()\n\n    on_exit(fn ->\n      for {_, pid, _, _} <- DynamicSupervisor.which_children(Unlock.DynamicIRVE.FeedSupervisor),\n          is_pid(pid),\n          do: DynamicSupervisor.terminate_child(Unlock.DynamicIRVE.FeedSupervisor, pid)\n\n      :ets.delete_all_objects(FeedStore)\n    end)\n  end\n\n  test \"sync_feeds starts workers per feed and the controller aggregates their data into CSV\" do\n    parent = \"test-agg\"\n\n    feed_a = %Unlock.Config.Item.Generic.HTTP{\n      identifier: \"id-a\",\n      slug: \"source-a\",\n      target_url: \"http://unused-a\",\n      ttl: 10\n    }\n\n    feed_b = %Unlock.Config.Item.Generic.HTTP{\n      identifier: \"id-b\",\n      slug: \"source-b\",\n      target_url: \"http://unused-b\",\n      ttl: 10\n    }\n\n    item = %Unlock.Config.Item.DynamicIRVEAggregate{identifier: parent, feeds: [feed_a, feed_b]}\n\n    Unlock.Config.Fetcher.Mock |> stub(:fetch_config!, fn -> %{parent => item} end)\n\n    Unlock.DynamicIRVESupervisor.sync_feeds()\n\n    assert Enum.sort(Unlock.DynamicIRVESupervisor.running_feed_pollers()) ==\n             [{parent, \"source-a\"}, {parent, \"source-b\"}]\n\n    now = DateTime.utc_now()\n    FeedStore.put_feed(parent, \"source-a\", %{df: build_df(\"A\"), last_updated_at: now, error: nil})\n    FeedStore.put_feed(parent, \"source-b\", %{df: build_df(\"B\"), last_updated_at: now, error: nil})\n\n    body =\n      proxy_conn()\n      |> get(\"/resource/#{parent}?include_origin=1\")\n      |> response(200)\n\n    df = Explorer.DataFrame.load_csv!(body, infer_schema_length: 0)\n    assert Explorer.DataFrame.n_rows(df) == 2\n\n    origins = df |> Explorer.DataFrame.pull(\"origin\") |> Explorer.Series.to_list() |> Enum.sort()\n    assert origins == [\"source-a\", \"source-b\"]\n\n    # :external event must be emitted so the request counts in the proxy metrics\n    assert_received {:telemetry_event, [:proxy, :request, :external], %{}, %{target: \"proxy:test-agg\"}}\n  end\n\n  defp build_df(marker) do\n    fields = Transport.IRVE.DynamicIRVESchema.build_schema_fields_list()\n    Explorer.DataFrame.new(for f <- fields, into: %{}, do: {f, [\"#{marker}-#{f}\"]})\n  end\n\n  # TODO: DRY this helper with the identical one in `unlock_controller_test.exs`\n  # (and reconcile with the slightly different/buggy one in `conversion_controller_test.exs`).\n  # Not so simple: proper factoring needs a shared support module + migration of both existing\n  # call sites, which widens the PR scope beyond dyn-IRVE. Candidate for a test-infra cleanup PR.\n  defp setup_telemetry_handler do\n    events = Unlock.Telemetry.proxy_request_event_names()\n\n    events\n    |> Enum.flat_map(&:telemetry.list_handlers(&1))\n    |> Enum.map(& &1.id)\n    |> Enum.uniq()\n    |> Enum.each(&:telemetry.detach/1)\n\n    test_pid = self()\n\n    :telemetry.attach_many(\n      \"dyn-irve-test-#{System.unique_integer()}\",\n      events,\n      fn name, measurements, metadata, _ ->\n        send(test_pid, {:telemetry_event, name, measurements, metadata})\n      end,\n      nil\n    )\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/enforce_ttl_test.exs",
    "content": "defmodule Unlock.EnforceTTLTest do\n  use ExUnit.Case, async: false\n  import Unlock.Shared\n\n  import Mox\n  setup :verify_on_exit!\n\n  setup do\n    Cachex.clear(cache_name())\n    on_exit(fn -> Cachex.clear(cache_name()) end)\n  end\n\n  defp cache_put(key, ttl \\\\ nil), do: Cachex.put!(cache_name(), key, 42, expire: ttl)\n\n  test \"removes keys without a ttl or with a ttl greather than the configuration\" do\n    ttl_config_value = 10\n\n    setup_proxy_config(%{\n      \"no_ttl\" => %Unlock.Config.Item.Generic.HTTP{\n        identifier: \"no_ttl\",\n        target_url: \"https://example.com\",\n        ttl: ttl_config_value\n      },\n      \"with_ttl\" => %Unlock.Config.Item.Generic.HTTP{\n        identifier: \"with_ttl\",\n        target_url: \"https://example.com\",\n        ttl: ttl_config_value\n      }\n    })\n\n    assert ttl_config_value < Unlock.Shared.default_cache_expiration_seconds()\n\n    # NOTE: this test would be better served with individual assertions + runs\n    # but to get there needs a bit more work.\n\n    # proxy cache keys should be empty\n    assert [] == cache_keys()\n    # a non-bogus proxy entry: its TTL will make it expire\n    cache_put(cache_key(\"with_ttl\"), :timer.seconds(5))\n    # a bogus proxy entry: its TTL is not set, causing it to never expire.\n    # these are the one which are dangerous (see `EnforceTTL` documentation)\n    # and which we want to remove\n    cache_put(cache_key(\"no_ttl\"))\n    # a non-proxy entry: we do not want to impact those\n    cache_put(\"no_prefix\")\n\n    # initially, the list of proxy cache keys should include only 2 entries\n    assert [\"resource:no_ttl\", \"resource:with_ttl\"] == cache_keys() |> Enum.sort()\n\n    # this is expected to remove bogus entries (the ones without a TTL),\n    # which would otherwise remain \"available but stale\" forever\n    Unlock.EnforceTTL.handle_info(:work, %{})\n\n    # explicitely written, the bogus key should not be there anymore\n    refute \"resource:no_ttl\" in cache_keys()\n    # a bit redundant, but exactly the non-bogus keys should be there\n    assert [\"resource:with_ttl\"] == cache_keys()\n\n    # non-proxy keys should still be there too\n    assert \"no_prefix\" in Cachex.keys!(cache_name())\n  end\n\n  test \"supports aggregate sub-keys\" do\n    ttl_config_value = 10\n    slug = \"some-slug\"\n\n    setup_proxy_config(%{\n      \"aggregate\" => %Unlock.Config.Item.Aggregate{\n        identifier: slug,\n        ttl: ttl_config_value,\n        feeds: [\n          %Unlock.Config.Item.Generic.HTTP{\n            identifier: \"first-remote\",\n            target_url: \"http://localhost:1234\",\n            ttl: ttl_config_value\n          },\n          %Unlock.Config.Item.Generic.HTTP{\n            identifier: \"second-remote\",\n            target_url: \"http://localhost:1234\",\n            ttl: ttl_config_value\n          }\n        ]\n      }\n    })\n\n    assert ttl_config_value < Unlock.Shared.default_cache_expiration_seconds()\n\n    # create a cache entry without cachex TTL to reproduce the bug\n    # this case uses composite keys (for aggregate support)\n    cache_put(cache_key(\"aggregate:first-remote\"), nil)\n    # create a non-bogus entry with proper Cachex TTL\n    cache_put(cache_key(\"aggregate:second-remote\"), :timer.seconds(5))\n\n    assert [\"resource:aggregate:first-remote\", \"resource:aggregate:second-remote\"] == cache_keys()\n    Unlock.EnforceTTL.handle_info(:work, %{})\n\n    # bogus cache key should have been removed\n    refute \"resource:aggregate:first-remote\" in cache_keys()\n    # the other one should remain\n    assert [\"resource:aggregate:second-remote\"] == cache_keys()\n  end\n\n  test \"supports GBFS\" do\n    ttl_config_value = 10\n    slug = \"some-slug\"\n\n    setup_proxy_config(%{\n      \"gbfs\" => %Unlock.Config.Item.GBFS{\n        identifier: slug,\n        base_url: \"https://example.com/gbfs.json\",\n        ttl: ttl_config_value\n      }\n    })\n\n    assert ttl_config_value < Unlock.Shared.default_cache_expiration_seconds()\n\n    # create a cache entry without cachex TTL to reproduce the bug\n    cache_put(cache_key(\"gbfs:gbfs.json\"), nil)\n    # create a non-bogus entry with proper Cachex TTL\n    cache_put(cache_key(\"gbfs:system_information.json\"), :timer.seconds(5))\n\n    assert [\"resource:gbfs:gbfs.json\", \"resource:gbfs:system_information.json\"] == cache_keys()\n    Unlock.EnforceTTL.handle_info(:work, %{})\n\n    # bogus cache key should have been removed\n    refute \"resource:gbfs:gbfs.json\" in cache_keys()\n    # the other one should remain\n    assert [\"resource:gbfs:system_information.json\"] == cache_keys()\n  end\n\n  def setup_proxy_config(config) do\n    Unlock.Config.Fetcher.Mock\n    |> stub(:fetch_config!, fn -> config end)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/finch_impl_test.exs",
    "content": "defmodule Unlock.FinchImplTests do\n  use ExUnit.Case, async: true\n\n  # Since Finch does not provide testing facility, nor\n  # redirect support, we need to start an actual server\n  # if we want to test our redirect implementation.\n  #\n  # Moving to Req is advised to get rid of that code.\n  setup do\n    bypass = Bypass.open()\n    {:ok, bypass: bypass}\n  end\n\n  test \"get! with successful redirect\", %{bypass: bypass} do\n    url = \"http://localhost:#{bypass.port}/initial\"\n    redirected_url = \"http://localhost:#{bypass.port}/redirected\"\n\n    Bypass.expect(bypass, \"GET\", \"/initial\", fn conn ->\n      conn\n      |> Plug.Conn.put_resp_header(\"location\", redirected_url)\n      |> Plug.Conn.resp(302, \"\")\n    end)\n\n    Bypass.expect(bypass, \"GET\", \"/redirected\", fn conn ->\n      conn\n      |> Plug.Conn.resp(200, \"The redirect payload\")\n    end)\n\n    %{status: status, body: body} = Unlock.HTTP.FinchImpl.get!(url, [], max_redirects: 2)\n\n    assert status == 200\n    assert body == \"The redirect payload\"\n  end\n\n  test \"get! with too many redirects\", %{bypass: bypass} do\n    url = \"http://localhost:#{bypass.port}/initial\"\n    redirected_url = \"http://localhost:#{bypass.port}/redirected\"\n\n    Bypass.expect(bypass, \"GET\", \"/initial\", fn conn ->\n      conn\n      |> Plug.Conn.put_resp_header(\"location\", redirected_url)\n      |> Plug.Conn.resp(302, \"\")\n    end)\n\n    assert_raise RuntimeError, \"TooManyRedirects\", fn ->\n      Unlock.HTTP.FinchImpl.get!(url, [], max_redirects: 0)\n    end\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/github_config_test.exs",
    "content": "defmodule UnlockGitHubConfigTest do\n  #\n  # NOTE: Here we use Mox in global setup, and disable async.\n  # It would be nice to avoid that in the future.\n  # See:\n  # - https://github.com/whitfin/cachex/issues/250\n  # - https://hexdocs.pm/mox/Mox.html#module-multi-process-collaboration\n  #\n  import Mox\n  # async false to ensure mox global mode works here, because\n  # cachex fetch apparently works in its own process, and mox expectations\n  # are per-process (see notes above)\n  # also, we're using cachex without a wrapper, and not overriding the cache\n  # \"name\", so this is all global state here until I improve the situation.\n  use ExUnit.Case, async: false\n  import Unlock.Shared, only: [cache_name: 0]\n  setup :set_mox_from_context\n  setup :verify_on_exit!\n\n  def feeds_yaml_config do\n    %{\n      \"feeds\" => [\n        %{\n          \"identifier\" => \"test-slug\",\n          \"target_url\" => \"http://localhost/real-time\"\n        }\n      ]\n    }\n    |> Ymlr.document!()\n  end\n\n  @config_cache_key \"config:proxy\"\n\n  test \"GitHub.fetch_config!\" do\n    Cachex.del!(cache_name(), @config_cache_key)\n\n    # the config module is expected to reach out to GitHub (here with a fake url)\n    Unlock.HTTP.Client.Mock\n    |> expect(:get!, fn url, headers, _options ->\n      assert url == \"https://localhost/some-github-url\"\n      assert headers == [{\"Authorization\", \"token some-test-github-auth-token\"}]\n\n      %Unlock.HTTP.Response{\n        status: 200,\n        body: feeds_yaml_config(),\n        headers: []\n      }\n    end)\n\n    data = Unlock.Config.GitHub.fetch_config!()\n    # No TTL since we want to keep the configuration always\n    assert Cachex.ttl(cache_name(), @config_cache_key) == {:ok, nil}\n\n    assert data == %{\n             \"test-slug\" => %Unlock.Config.Item.Generic.HTTP{\n               identifier: \"test-slug\",\n               ttl: 0,\n               target_url: \"http://localhost/real-time\"\n             }\n           }\n\n    assert Cachex.get!(cache_name(), @config_cache_key) == data\n\n    # client must not call the data anymore\n    Unlock.HTTP.Client.Mock\n    |> expect(:get!, 0, fn _url, _headers, _options -> nil end)\n\n    # yet data must not change\n    assert Unlock.Config.GitHub.fetch_config!() == data\n  end\n\n  @tag :skip\n  test \"database persistence to cope with GitHub outages\"\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/plugs/token_auth_test.exs",
    "content": "defmodule Unlock.Plugs.TokenAuthTest do\n  # UUID slugs remove cache-key collisions, but full async: true still requires\n  # tackling Mox global mode, Application.put_env for the auth flag, and global telemetry handlers.\n  use TransportWeb.ConnCase, async: false\n  import DB.Factory\n  import Mox\n\n  setup :verify_on_exit!\n  setup :set_mox_from_context\n\n  setup do\n    detach_telemetry_handlers()\n    Ecto.Adapters.SQL.Sandbox.checkout(DB.Repo)\n  end\n\n  describe \"when enabled\" do\n    setup do\n      setup_token_auth_enabled(true)\n    end\n\n    test \"valid token passed: request is logged\" do\n      slug = \"valid-token-logged-#{Ecto.UUID.generate()}\"\n      %DB.Token{id: token_id} = token = insert_token()\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.Generic.HTTP{\n          identifier: slug,\n          target_url: target_url = \"http://localhost/some-remote-resource\",\n          ttl: 30\n        }\n      })\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, fn url, _headers = [], _options = [] ->\n        assert url == target_url\n        %Unlock.HTTP.Response{body: \"somebody-to-love\", status: 200, headers: []}\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/#{slug}?token=#{token.secret}\")\n\n      assert resp.resp_body == \"somebody-to-love\"\n      assert %DB.Token{id: ^token_id} = resp.assigns[:token]\n\n      assert [\n               %DB.ProxyRequest{proxy_id: ^slug, token_id: ^token_id}\n             ] = DB.ProxyRequest |> DB.Repo.all()\n    end\n\n    test \"no token passed\" do\n      slug = \"no-token-#{Ecto.UUID.generate()}\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.Generic.HTTP{\n          identifier: slug,\n          target_url: target_url = \"http://localhost/some-remote-resource\",\n          ttl: 30\n        }\n      })\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, fn url, _headers = [], _options = [] ->\n        assert url == target_url\n        %Unlock.HTTP.Response{body: \"somebody-to-love\", status: 200, headers: []}\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/#{slug}\")\n\n      assert resp.resp_body == \"somebody-to-love\"\n      assert is_nil(resp.assigns[:token])\n\n      assert [] = DB.ProxyRequest |> DB.Repo.all()\n    end\n\n    test \"invalid token passed\" do\n      resp = proxy_conn() |> get(\"/resource/slug?token=invalid\")\n\n      assert resp.status == 401\n      assert resp.resp_body == ~s|{\"error\":\"You must set a valid token in the query parameters\"}|\n\n      assert DB.ProxyRequest |> DB.Repo.all() == []\n    end\n  end\n\n  describe \"when disabled\" do\n    setup do\n      setup_token_auth_enabled(false)\n    end\n\n    test \"valid token passed: no requests logged\" do\n      slug = \"valid-token-not-logged-#{Ecto.UUID.generate()}\"\n      token = insert_token()\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.Generic.HTTP{\n          identifier: slug,\n          target_url: target_url = \"http://localhost/some-remote-resource\",\n          ttl: 30\n        }\n      })\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, fn url, _headers = [], _options = [] ->\n        assert url == target_url\n        %Unlock.HTTP.Response{body: \"somebody-to-love\", status: 200, headers: []}\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/#{slug}?token=#{token.secret}\")\n      assert resp.resp_body == \"somebody-to-love\"\n\n      assert [] = DB.ProxyRequest |> DB.Repo.all()\n    end\n\n    test \"invalid token passes through without authentication\" do\n      slug = \"invalid-token-passthrough-#{Ecto.UUID.generate()}\"\n\n      setup_proxy_config(%{\n        slug => %Unlock.Config.Item.Generic.HTTP{\n          identifier: slug,\n          target_url: target_url = \"http://localhost/some-remote-resource\",\n          ttl: 30\n        }\n      })\n\n      Unlock.HTTP.Client.Mock\n      |> expect(:get!, fn url, _headers = [], _options = [] ->\n        assert url == target_url\n        %Unlock.HTTP.Response{body: \"somebody-to-love\", status: 200, headers: []}\n      end)\n\n      resp = proxy_conn() |> get(\"/resource/#{slug}?token=invalid\")\n\n      assert resp.status == 200\n      assert resp.resp_body == \"somebody-to-love\"\n      assert is_nil(resp.assigns[:token])\n\n      assert [] = DB.ProxyRequest |> DB.Repo.all()\n    end\n  end\n\n  defp setup_token_auth_enabled(enabled) do\n    current_value = Application.get_env(:transport, :unlock_token_auth_enabled)\n    Application.put_env(:transport, :unlock_token_auth_enabled, enabled)\n    on_exit(fn -> Application.put_env(:transport, :unlock_token_auth_enabled, current_value) end)\n  end\n\n  defp setup_proxy_config(config) do\n    Unlock.Config.Fetcher.Mock |> stub(:fetch_config!, fn -> config end)\n  end\n\n  defp detach_telemetry_handlers do\n    events = Unlock.Telemetry.proxy_request_event_names()\n\n    # NOTE: this is deregistering the `apps/transport`\n    # handlers, which will otherwise create Ecto records.\n    events\n    |> Enum.flat_map(&:telemetry.list_handlers(&1))\n    |> Enum.map(& &1.id)\n    |> Enum.uniq()\n    |> Enum.each(&:telemetry.detach/1)\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/shared_test.exs",
    "content": "defmodule Unlock.SharedTest do\n  use ExUnit.Case, async: false\n  import Unlock.Shared\n\n  setup do\n    Cachex.clear(cache_name())\n    on_exit(fn -> Cachex.clear(cache_name()) end)\n  end\n\n  defp cache_put(key, ttl \\\\ nil), do: Cachex.put!(cache_name(), key, 42, expire: ttl)\n\n  test \"cache_key\" do\n    assert \"resource:foo\" == cache_key(\"foo\")\n  end\n\n  test \"cache_entry\" do\n    cache_put(cache_key(\"foo\"))\n    assert 42 == cache_entry(cache_key(\"foo\"))\n    assert nil == cache_entry(cache_key(\"bar\"))\n  end\n\n  test \"cache_ttl\" do\n    cache_put(cache_key(\"foo\"), :timer.seconds(5))\n    cache_put(cache_key(\"baz\"))\n    {:ok, ttl} = cache_ttl(cache_key(\"foo\"))\n    assert_in_delta ttl / 1000, 5, 1\n    assert {:ok, nil} == cache_ttl(cache_key(\"bar\"))\n    default_value = default_cache_expiration_seconds()\n    {:ok, ttl} = cache_ttl(cache_key(\"baz\"))\n    assert_in_delta ttl / 1000, default_value, 1\n  end\n\n  test \"cache_keys\" do\n    assert [] == cache_keys()\n    cache_put(cache_key(\"with_ttl\"), :timer.seconds(5))\n    cache_put(cache_key(\"no_ttl\"))\n    cache_put(\"no_prefix\")\n\n    assert [\"resource:no_ttl\", \"resource:with_ttl\"] == cache_keys() |> Enum.sort()\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/siri_test.exs",
    "content": "defmodule Unlock.SIRITests do\n  use ExUnit.Case\n  import SIRIQueries\n\n  doctest Unlock.SIRI\n  doctest Unlock.SIRI.RequestorRefReplacer\n\n  test \"requestor ref can be changed on the fly\" do\n    timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n    incoming_requestor_ref = \"transport-data-gouv-fr\"\n    message_id = \"Test::Message::#{Ecto.UUID.generate()}\"\n    stop_ref = \"SomeStopRef\"\n\n    # build some XML to simulate the input\n    input_xml = siri_query_from_builder(timestamp, incoming_requestor_ref, message_id, stop_ref)\n\n    # fake the parsing occurring in the controller\n    parsed = Unlock.SIRI.parse_incoming(input_xml)\n\n    {xml, seen_requestor_refs} = Unlock.SIRI.RequestorRefReplacer.replace_requestor_ref(parsed, \"new-requestor-ref\")\n\n    # the returned XML must have its requestor ref replaced\n    assert xml ==\n             timestamp\n             |> siri_query_from_builder(\"new-requestor-ref\", message_id, stop_ref)\n             |> Unlock.SIRI.parse_incoming()\n\n    # and the input requestor ref seen in the document must be returned\n    assert seen_requestor_refs == [incoming_requestor_ref]\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/unlock/test_helper.exs",
    "content": "ExUnit.start(exclude: :pending)\n"
  },
  {
    "path": "apps/transport/test/with_mock_must_not_use_async_check_test.exs",
    "content": "defmodule WithMockMustNotUseAsyncCheckTest do\n  @moduledoc \"\"\"\n  A very cheap and not super reliable way to ensure a developer\n  using \"with_mock\" together with \"async: true\" will be warned\n  that this should not be used, because it will cause troubles.\n  \"\"\"\n  use ExUnit.Case\n\n  test \"async must be set to false if you use with_mock\" do\n    files =\n      \"../../apps/**/*_test.exs\"\n      |> Path.wildcard()\n      |> Enum.filter(&potential_incorrect_use_detected?/1)\n      |> Enum.map(&Path.relative_to(&1, \"../..\"))\n\n    assert files == []\n  end\n\n  def potential_incorrect_use_detected?(file) do\n    content = File.read!(file)\n    is_async = String.contains?(content, \"async: true\")\n    use_mock = String.match?(content, ~r/with_mocks? /)\n    use_mock && is_async\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/with_mox_verify_on_exit_test.exs",
    "content": "defmodule WithMoxVerifyOnExitTest do\n  @moduledoc \"\"\"\n  Check that we did not forget to verify on exit when using Mox.\n  \"\"\"\n  use ExUnit.Case, async: true\n\n  test \"If you use Mox, you verify on exit\" do\n    files =\n      \"../../apps/**/*_test.exs\"\n      |> Path.wildcard()\n      |> Enum.filter(&potential_mox_issue_detected?/1)\n      |> Enum.map(&Path.relative_to(&1, \"../..\"))\n\n    assert files == []\n  end\n\n  def potential_mox_issue_detected?(file) do\n    content = File.read!(file)\n    use_mox = String.contains?(content, \"import Mox\")\n    verify_on_exit = String.contains?(content, \":verify_on_exit!\")\n    use_mox and not verify_on_exit\n  end\nend\n"
  },
  {
    "path": "apps/transport/test/zip_test.exs",
    "content": "defmodule Transport.ZipMetaDataExtractorTest do\n  use ExUnit.Case, async: true\n  @zip_path \"#{__DIR__}/../../shared/test/validation/gtfs.zip\"\n\n  describe \"zip?\" do\n    test \"file does not exist\" do\n      assert_raise MatchError, fn ->\n        Transport.ZipMetaDataExtractor.zip?(\"/tmp/#{Ecto.UUID.generate()}\")\n      end\n    end\n\n    test \"ZIP file\" do\n      assert Transport.ZipMetaDataExtractor.zip?(@zip_path)\n    end\n\n    test \"regular file\" do\n      filepath = Path.join(System.tmp_dir!(), Ecto.UUID.generate())\n\n      try do\n        File.write!(filepath, \"foo\")\n        refute Transport.ZipMetaDataExtractor.zip?(filepath)\n      after\n        File.rm!(filepath)\n      end\n    end\n  end\n\n  test \"extract! with a valid zip\" do\n    results = Transport.ZipMetaDataExtractor.extract!(@zip_path)\n\n    assert 9 == Enum.count(results)\n\n    assert %{\n             compressed_size: 251,\n             file_name: \"stops.txt\",\n             last_modified_datetime: ~N[2017-02-16 05:01:12],\n             sha256: \"2685fb16434b396f277c7ad593b609574ed01592b48de7001c53beb36b926eca\",\n             uncompressed_size: 607\n           } == results |> Enum.find(fn e -> e.file_name == \"stops.txt\" end)\n\n    assert %{\n             compressed_size: 378,\n             file_name: \"trips.txt\",\n             last_modified_datetime: ~N[2017-02-16 05:01:12],\n             sha256: \"dd79f0fb8d2fd0a70cc75f49c5f2cae56b9b2ef83670992d6b195e9806393c24\",\n             uncompressed_size: 2864\n           } == results |> Enum.find(fn e -> e.file_name == \"trips.txt\" end)\n  end\n\n  test \"extract! with a non existing file\" do\n    assert_raise MatchError, fn ->\n      Transport.ZipMetaDataExtractor.extract!(\"foo\")\n    end\n  end\nend\n"
  },
  {
    "path": "blog/README.md",
    "content": "All the blog articles and code are in the [blog](https://github.com/etalab/transport-site/tree/blog/blog) folder of the blog branch.\nSee the project main README for more details about the blog.\n"
  },
  {
    "path": "config/config.exs",
    "content": "# This file is responsible for configuring your application\n# and its dependencies with the aid of the Mix.Config module.\n#\n# This configuration file is loaded before any dependency and\n# is restricted to this project.\n\n# NOTE: this is very much legacy & work in progress to modernize the situation.\n# For reference, ultimately most tests should not connect to outside stuff.\n# A good model for improvements is https://github.com/hexpm/hexpm/tree/main/config\n#\nimport Config\n\n# see health-check ; manually cutting unused ports for now\nconfig :os_mon,\n  start_cpu_sup: false,\n  start_disksup: false,\n  start_memsup: true\n\nconfig :transport,\n  unlock_config_fetcher: Unlock.Config.GitHub,\n  unlock_http_client: Unlock.HTTP.FinchImpl,\n  unlock_github_config_url:\n    \"https://raw.githubusercontent.com/transportdatagouvfr/proxy-config/refs/heads/master/proxy-config.yml\",\n  unlock_github_auth_token: System.get_env(\"TRANSPORT_PROXY_CONFIG_GITHUB_TOKEN\"),\n  unlock_siri_public_requestor_ref: \"transport-data-gouv-fr\",\n  unlock_event_incrementer: Unlock.BatchMetrics,\n  unlock_token_auth_enabled: false\n\nconfig :transport, Unlock.Endpoint, []\n\nconfig :transport, explore_vehicle_positions_poller_enabled: true\nconfig :transport, quantum_scheduler_enabled: true\nconfig :transport, gtfs_rt_validator_cli_log: false\nconfig :transport, worker_healthcheck_halts_beam: true\nconfig :transport, unlock_controller_rescue_mode: :silent\n\nif System.get_env(\"CELLAR_NAMESPACE\") do\n  # We believe CELLAR_NAMESPACE was a previous attempt at siloting S3 envs.\n  # We will instead rely on separate buckets in the short-term future.\n  raise \"CELLAR_NAMESPACE variable is deprecated and must be removed.\"\nend\n\n# Configures the endpoint\nconfig :transport, TransportWeb.Endpoint,\n  url: [host: \"127.0.0.1\"],\n  render_errors: [\n    view: TransportWeb.ErrorView,\n    layout: [html: {TransportWeb.LayoutView, :app}],\n    accepts: ~w(html json)\n  ],\n  pubsub_server: TransportWeb.PubSub\n\nconfig :phoenix, :json_library, Jason\n\n#\n# A tweaked format encoder to optionally bypass JSON\n# encoding when the caller knows it is already encoded.\n#\n# See https://hexdocs.pm/phoenix/1.5.8/Phoenix.Template.html#module-format-encoders\n#\nconfig :phoenix, :format_encoders, json: Transport.Shared.ConditionalJSONEncoder\n\nconfig :logger, :default_formatter,\n  format: \"$time $metadata[$level] $message\\n\",\n  # :remote_ip is set by the dependency `remote_ip`\n  # `:(method|path|user_agent)` are set by TransportWeb.Plugs.RateLimiter only\n  # when LOG_USER_AGENT=true\n  metadata: [:request_id, :remote_ip, :method, :path, :user_agent]\n\nconfig :scrivener_html,\n  routes_helper: TransportWeb.Router.Helpers\n\n# Allow to have Markdown templates\nconfig :phoenix, :template_engines,\n  md: PhoenixMarkdown.Engine,\n  leex: Phoenix.LiveView.Engine\n\nconfig :phoenix_markdown, :server_tags, :all\n\nconfig :transport,\n  cache_impl: Transport.Cache.Cachex,\n  ex_aws_impl: ExAws,\n  httpoison_impl: HTTPoison,\n  history_impl: Transport.History.Fetcher.Database,\n  rambo_impl: Transport.Rambo,\n  gbfs_metadata_impl: Transport.GBFSMetadata,\n  availability_checker_impl: Transport.AvailabilityChecker,\n  jsonschema_validator_impl: Transport.Validators.JSONSchema,\n  tableschema_validator_impl: Transport.Validators.TableSchema,\n  schemas_impl: Transport.Schemas,\n  hasher_impl: Hasher,\n  validator_selection: Transport.ValidatorsSelection.Impl,\n  data_visualization: Transport.DataVisualization.Impl,\n  workflow_notifier: Transport.Jobs.Workflow.ObanNotifier,\n  enroute_validator_client: Transport.EnRouteChouetteValidClient,\n  enroute_rulesets_client: Transport.EnRoute.ChouetteValidRulesetsClient,\n  netex_validator: Transport.Validators.NeTEx.Validator,\n  mobilitydata_gtfs_validator_client: Transport.Validators.MobilityDataGTFSValidatorClient\n\n# Datagouv IDs for national databases created automatically.\n# These are IDs used in staging, demo.data.gouv.fr\nconfig :transport,\n  consolidation: %{\n    zfe: %{\n      dataset_id: \"625438b890bf88454b283a55\",\n      resource_ids: %{\n        \"voies\" => \"3a5d0c66-aef9-4d68-841f-4fe81c9de980\",\n        \"aires\" => \"673a16bf-49ec-4645-9da2-cf975d0aa0ea\"\n      }\n    },\n    # These are production IDs\n    bnlc: %{\n      dataset_id: \"5d6eaffc8b4c417cdc452ac3\",\n      resource_id: \"4fd78dee-e122-4c0d-8bf6-ff55d79f3af1\"\n    },\n    irve: %{\n      resource_id: \"eb76d20a-8501-400e-b336-d85724de5435\"\n    }\n  }\n\nconfig :transport,\n  datagouv_static_hosts: [\"static.data.gouv.fr\", \"demo-static.data.gouv.fr\"],\n  bison_fute_host: \"tipi.bison-fute.gouv.fr\"\n\n# data.gouv.fr\nconfig :transport,\n  community_resources_impl: Datagouvfr.Client.CommunityResources.API,\n  authentication_impl: Datagouvfr.Authentication,\n  user_impl: Datagouvfr.Client.User,\n  datagouvfr_reuses: Datagouvfr.Client.Reuses,\n  datagouvfr_discussions: Datagouvfr.Client.Discussions,\n  organization_impl: Datagouvfr.Client.Organization,\n  # The two following implementations are also used in tests, except if specifically overriden to use a mock\n  # Because legacy tests mock at a lower level (HTTPoison), we need to keep the same behavior for now\n  datasets_impl: Datagouvfr.Client.Datasets.External,\n  resources_impl: Datagouvfr.Client.Resources.External\n\nconfig :ex_json_schema,\n       :remote_schema_resolver,\n       fn url -> HTTPoison.get!(url).body |> Jason.decode!() end\n\nconfig :ex_aws,\n  access_key_id: System.get_env(\"CELLAR_ACCESS_KEY_ID\"),\n  secret_access_key: System.get_env(\"CELLAR_SECRET_ACCESS_KEY\"),\n  # The expected S3 owner of buckets/objects.\n  # For Clever Cloud and the Cellar service, it looks like `orga-$UUID`\n  cellar_organisation_id: System.get_env(\"CELLAR_ORGANISATION_ID\"),\n  # ~s is a string parameter, it will be replaced by the bucket's name\n  cellar_url: \"https://~s.cellar-c2.services.clever-cloud.com\",\n  s3: [\n    scheme: \"https://\",\n    host: \"cellar-c2.services.clever-cloud.com\"\n  ],\n  json_codec: Jason\n\nconfig :ex_aws, :database_backup_source,\n  access_key_id: System.get_env(\"DATABASE_BACKUP_SOURCE_ACCESS_KEY_ID\"),\n  secret_access_key: System.get_env(\"DATABASE_BACKUP_SOURCE_SECRET_ACCESS_KEY\"),\n  bucket_name: System.get_env(\"DATABASE_BACKUP_SOURCE_BUCKET_NAME\"),\n  host: System.get_env(\"DATABASE_BACKUP_SOURCE_HOST\"),\n  region: System.get_env(\"DATABASE_BACKUP_SOURCE_REGION\")\n\nconfig :ex_aws, :database_backup_destination,\n  access_key_id: System.get_env(\"DATABASE_BACKUP_DESTINATION_ACCESS_KEY_ID\"),\n  secret_access_key: System.get_env(\"DATABASE_BACKUP_DESTINATION_SECRET_ACCESS_KEY\"),\n  bucket_name: System.get_env(\"DATABASE_BACKUP_DESTINATION_BUCKET_NAME\"),\n  host: System.get_env(\"DATABASE_BACKUP_DESTINATION_HOST\"),\n  region: System.get_env(\"DATABASE_BACKUP_DESTINATION_REGION\")\n\n# https://hexdocs.pm/gettext/Gettext.html#module-default-locale\nconfig :gettext, :default_locale, \"fr\"\n\nconfig :transport,\n  domain_name: System.get_env(\"DOMAIN_NAME\", \"transport.data.gouv.fr\"),\n  export_secret_key: System.get_env(\"EXPORT_SECRET_KEY\"),\n  metabase_secret_key: System.get_env(\"METABASE_SECRET_KEY\"),\n  proxy_config_secret_key: System.get_env(\"PROXY_CONFIG_SECRET_KEY\"),\n  # Expected format: `client1:secret_token;client2:other_token`\n  api_auth_clients: System.get_env(\"API_AUTH_CLIENTS\"),\n  enroute_validation_token: System.get_env(\"ENROUTE_VALIDATION_TOKEN\"),\n  enroute_rulesets_token: System.get_env(\"ENROUTE_RULESETS_TOKEN\"),\n  max_import_concurrent_jobs: (System.get_env(\"MAX_IMPORT_CONCURRENT_JOBS\") || \"1\") |> String.to_integer(),\n  nb_days_to_keep_validations: 60,\n  contact_email: \"contact@transport.data.gouv.fr\",\n  tech_email: \"tech@transport.data.gouv.fr\",\n  security_email: \"securite@transport.data.gouv.fr\",\n  transport_tools_folder: Path.absname(\"transport-tools/\"),\n  resource_unavailable_skip_resource_ids:\n    System.get_env(\"RESOURCE_UNAVAILABLE_SKIP_RESOURCE_IDS\", \"\")\n    |> String.split(\",\")\n    |> Enum.reject(&(&1 == \"\"))\n    |> Enum.map(&String.to_integer/1)\n\n# Disable sending events to Sentry by default.\n# Sentry events are only sent when `dsn` is not nil\n# https://hexdocs.pm/sentry/upgrade-10-x.html#stop-using-included_environments\n# Events are sent in production and staging, configured in `prod.exs`\nconfig :sentry,\n  dsn: nil,\n  environment_name: \"SENTRY_ENV\" |> System.get_env(to_string(config_env())) |> String.to_atom(),\n  enable_source_code_context: true,\n  # https://hexdocs.pm/sentry/Sentry.html#module-configuration\n  # > a list of paths to the root of your application's source code.\n  # > For umbrella apps, you should set this to all the application paths in your umbrella\n  # Caveat: https://github.com/getsentry/sentry-elixir/issues/638\n  root_source_code_paths: [File.cwd!() |> Path.join(\"apps\")],\n  filter: Transport.Shared.SentryExceptionFilter\n\n# For now, never send session data (containing sensitive data in our case) nor params,\n# even if this means less useful information.\n# See https://github.com/etalab/transport_deploy/issues/64\nconfig :appsignal, :config,\n  # https://docs.appsignal.com/ruby/configuration/options.html#option-send_session_data\n  send_session_data: false,\n  # https://docs.appsignal.com/ruby/configuration/options.html#option-send_params\n  send_params: false,\n  # we use a plug which sets the namespace as ignore programmatically\n  # and here declare that the corresponding requests should be ignored\n  ignore_namespaces: [\"ignore\"],\n  # See https://docs.appsignal.com/elixir/integrations/oban.html\n  instrument_oban: true,\n  # would generate too much noise for now, shutting it down\n  report_oban_errors: false,\n  # but this is not always enough:\n  ignore_actions: [\n    # without this action, requests will be counted twice\n    # I presume this is triggered by the way we route requests\n    # https://github.com/etalab/transport-site/blob/master/apps/transport/lib/transport_web/plugs/router.ex\n    \"GET /*_path\",\n    # Here this is a duplicate precaution to ensure we exclude proxy\n    # traffic which generates a lot of AppSignal events\n    \"Unlock.Controller#fetch\"\n  ]\n\n# Import environment specific config. This must remain at the bottom\n# of this file so it overrides the configuration defined above.\nimport_config \"datagouvfr.exs\"\nimport_config \"database.exs\"\nimport_config \"gtfs_validator.exs\"\nimport_config \"gbfs_validator.exs\"\nimport_config \"mail.exs\"\nimport_config \"data_sharing_pilot.exs\"\nimport_config \"#{config_env()}.exs\"\n"
  },
  {
    "path": "config/data_sharing_pilot.exs",
    "content": "import Config\n\nconfig :transport,\n  data_sharing_pilot_dataset_custom_tag: \"repartage_donnees\",\n  data_sharing_pilot_eligible_datagouv_organization_ids: [\n    # transport.data.gouv.fr\n    \"5abca8d588ee386ee6ece479\",\n    # Google Maps\n    \"63fdfe4f4cd1c437ac478323\",\n    # Transit\n    \"5c9a6477634f4133c7a5fc01\",\n    # Citymapper / Via\n    \"5f7cade93fb405c7d8f6d554\",\n    # Apple Inc.\n    \"67b7aef304c5820ea7068341\"\n  ]\n"
  },
  {
    "path": "config/database.exs",
    "content": "import Config\n\nconfig :transport, DB.Repo,\n  url: System.get_env(\"PG_URL\") || \"ecto://postgres:postgres@localhost/transport_repo\",\n  # NOTE: this default pool_size is overriden by \"runtime.exs\" !\n  pool_size: (System.get_env(\"PG_POOL_SIZE\") || \"10\") |> String.to_integer(),\n  types: DB.PostgrexTypes\n\nconfig :transport, ecto_repos: [DB.Repo]\nconfig :transport, ecto_repos: [DB.Repo]\n"
  },
  {
    "path": "config/datagouvfr.exs",
    "content": "import Config\n\nalias Datagouvfr.Authentication\n\n# Configure data.gouv.fr\nconfig :transport, datagouvfr_site: System.get_env(\"DATAGOUVFR_SITE\")\nconfig :transport, datagouvfr_apikey: System.get_env(\"DATAGOUVFR_API_KEY\")\n\nconfig :transport,\n  datagouvfr_transport_publisher_label: \"Point d'Accès National transport.data.gouv.fr\",\n  datagouvfr_transport_publisher_id: \"5abca8d588ee386ee6ece479\",\n  datagouvfr_publisher_id: \"646b7187b50b2a93b1ae3d45\",\n  # https://www.data.gouv.fr/fr/organizations/autorite-de-regulation-des-transports-anciennement-arafer/\n  datagouvfr_art_organization_id: \"5a65deb788ee38279c49d926\"\n\n# Configure data.gouv.fr authentication\n\n# transport acts as a client application of data.gouv.fr. When a user logs in on transport using its\n# data.gouv.fr credentials, it gives the possibility to the transport website to request a token to data.gouv.fr\n# allowing the user to e.g. post a comment on data.gouv.fr from the transport website.\n# Our application (transport) has a client_id and a client_secret used to authenticate our application\n# on data.gouv.fr's authorization server. There is no GUI to request or refresh those 2 informations : they have\n# been personnaly given to us by the data.gouv.fr team.\n\nconfig :oauth2, Authentication,\n  strategy: Authentication,\n  site: System.get_env(\"DATAGOUVFR_SITE\"),\n  client_id: System.get_env(\"DATAGOUVFR_CLIENT_ID\"),\n  client_secret: System.get_env(\"DATAGOUVFR_CLIENT_SECRET\"),\n  redirect_uri: URI.to_string(%URI{scheme: \"https\", host: System.get_env(\"DOMAIN_NAME\"), path: \"/login/callback\"})\n\nconfig :oauth2,\n  adapter: Tesla.Adapter.Hackney\n"
  },
  {
    "path": "config/dev.exs",
    "content": "import Config\n\n# For local work, it is usually more convenient to copy-paste\nconfig :transport,\n  unlock_config_fetcher: Unlock.Config.Disk,\n  unlock_disk_config_file: Path.join(__DIR__, \"proxy-config.yml\")\n\nconfig :transport, TransportWeb.Endpoint,\n  # http: is configured via config/runtime.exs (PORT)\n  debug_errors: true,\n  # If you want to test persistence of forms across deploys in development,\n  # make sure to set code_reloader to false.\n  # see https://hexdocs.pm/phoenix_live_view/form-bindings.html#recovery-following-crashes-or-disconnects\n  # for the detailed explanation.\n  code_reloader: true,\n  check_origin: false,\n  # NOTE: this is required to ensure code reloading will work.\n  # A page reload is required to trigger this. More apps could\n  # be added when needed here, we just added what we needed.\n  reloadable_apps: [:shared, :transport]\n\n# Uncomment this to avoid having to restart the app for each change in description\n# See https://github.com/open-api-spex/open_api_spex#serve-the-spec\n# config :open_api_spex, :cache_adapter, OpenApiSpex.Plug.NoneCache\n\n# watchers are also configured via config/runtime.exs\n\nconfig :transport, TransportWeb.Endpoint,\n  live_reload: [\n    url: \"ws://127.0.0.1:5000\",\n    patterns: [\n      ~r{priv/static/.*(js|css|png|jpeg|jpg|gif|svg)$},\n      ~r{priv/gettext/.*(po)$},\n      ~r{lib/transport_web/views/.*(ex)$},\n      ~r{lib/transport_web/templates/.*(eex|md)$},\n      ~r{lib/transport_web/live/.*(ex)$}\n    ]\n  ]\n\n# Do not include metadata nor timestamps in development logs\nconfig :logger, :default_formatter, format: \"[$level] $message\\n\"\n\n# Set a higher stacktrace during development. Avoid configuring such\n# in production as building large stacktraces may be expensive.\nconfig :phoenix, :stacktrace_depth, 20\n\n# Swap out some implementations in developement to ease setup and\n# integration with third party services.\n#\n# Edit the following lines if you want to use another implementation.\n# You can use dev.secret.exs (out of git) if you need to set secrets\n# as often done.\n\n# Provide a default experience that will mostly work without manual config,\n# as long as the developer does not use advanced features (backoffice login, gbfs etc)\n# One can use dev.secret.exs to override this.\nsecret_key_base = \"lrS928IORjEwtIIdxjRZ30I8PUR4rbXorGCfmA4nbX2Jkgjl7U9rpcz6QjjH1AOc\"\n\nconfig :transport, TransportWeb.Endpoint,\n  secret_key_base: secret_key_base,\n  live_view: [\n    # NOTE: unsure if this is actually great to reuse the same value\n    signing_salt: secret_key_base\n  ],\n  export_secret_key: System.get_env(\"EXPORT_SECRET_KEY\", \"TwqrkD06AWp1uKGcBTck\")\n\ndatagouvfr_site = \"https://demo.data.gouv.fr\"\n\nconfig :transport,\n  datagouvfr_site: datagouvfr_site,\n  s3_buckets: %{\n    history: \"resource-history-dev\",\n    on_demand_validation: \"on-demand-validation-dev\",\n    gtfs_diff: \"gtfs-diff-dev\",\n    logos: \"logos-dev\",\n    aggregates: \"aggregates-dev\"\n  }\n\nconfig :oauth2, Datagouvfr.Authentication,\n  site: datagouvfr_site,\n  redirect_uri: \"http://localhost:5000/login/callback\"\n\n# Allows emails to be read at localhost:5000/dev/mailbox\n# Add a dev.secret.exs to use a real email provider\nconfig :transport, Transport.Mailer, adapter: Swoosh.Adapters.Local\n\nconfig :phoenix_live_view,\n  debug_heex_annotations: true,\n  debug_attributes: true,\n  enable_expensive_runtime_checks: true\n\n# Forward GTFS-RT validator subprocess output to the parent for local debugging\nconfig :transport, gtfs_rt_validator_cli_log: true\n\n# Log full stacktrace when Unlock.Controller catches an exception\nconfig :transport, unlock_controller_rescue_mode: :verbose\n\nextra_config_file = Path.join(__DIR__, \"#{config_env()}.secret.exs\")\n\nif File.exists?(extra_config_file) do\n  import_config extra_config_file\nelse\n  require Logger\n\n  Logger.warning(\n    \"Only the most basic features will work. Please create #{extra_config_file} based on config/dev.secret.template.exs for more advanced use.\"\n  )\nend\n\nif File.exists?(\".envrc\") do\n  Mix.raise(\"The .envrc file is deprecated and must be removed\")\nend\n"
  },
  {
    "path": "config/dev.secret.template.exs",
    "content": "import Config\n\n# One can use this as a template to create their own optional dev.secret.exs (not stored in git)\n# with credentials sourced from the rest of the team.\n\n# Careful about https://github.com/etalab/transport_deploy/issues/36, make sure\n# to avoid using credentials with production access here:\nconfig :transport, datagouvfr_apikey: \"TO-BE-REPLACED\"\n\n# If you want to log in on the transport website when running the server locally, you need to fill those informations\n# ask a fellow developper of the transport team to share the credentials with you.\n# We are talking here about *demo*.data.gouv.fr credentials, not data.gouv.fr.\n# You can also find them in \"prochainement\" environment variables.\nconfig :oauth2, Datagouvfr.Authentication,\n  client_id: \"TO-BE-REPLACED\",\n  client_secret: \"TO-BE-REPLACED\"\n\n# use mix phx.gen.secret to generate a custom value for this\nsecret_key_base = \"TO-BE-REPLACED\"\n\nconfig :transport, TransportWeb.Endpoint,\n  secret_key_base: secret_key_base,\n  live_view: [\n    # NOTE: unsure if this is actually great to reuse the same value\n    signing_salt: secret_key_base\n  ]\n\n# if you need to work on IRVE dashboard, turn this on\nconfig :transport, :irve_consolidation_caching, true\n\n# for minio local S3 support. See `.miniorc`\nconfig :ex_aws,\n  access_key_id: System.fetch_env!(\"MINIO_ROOT_USER\"),\n  secret_access_key: System.fetch_env!(\"MINIO_ROOT_PASSWORD\"),\n  cellar_url: \"http://127.0.0.1:9000/~s\",\n  s3: [\n    scheme: \"http://\",\n    host: \"127.0.0.1\",\n    port: 9000\n  ]\n\n# Uncomment if you want to disable all logs from the database\n# config :transport, DB.Repo, log: false\n"
  },
  {
    "path": "config/gbfs_validator.exs",
    "content": "import Config\n\n# Configure GBFS Validator\nconfig :transport,\n  gbfs_validator_impl: Shared.Validation.GBFSValidator.HTTPValidatorClient,\n  # This endpoint is not really public but we can use it for now\n  # See https://github.com/MobilityData/gbfs-validator/issues/53#issuecomment-957917240\n  gbfs_validator_url:\n    System.get_env(\"GBFS_VALIDATOR_URL\", \"https://gbfs-validator.netlify.app/.netlify/functions/validator\"),\n  gbfs_validator_website: System.get_env(\"GBFS_VALIDATOR_WEBSITE\", \"https://gbfs-validator.netlify.app\")\n"
  },
  {
    "path": "config/gtfs_validator.exs",
    "content": "import Config\n\n# Configure GTFS Validator\nconfig :transport,\n  # by default, use the production validator. This can be overriden with dev.secret.exs\n  gtfs_validator_url: System.get_env(\"GTFS_VALIDATOR_URL\", \"https://validation.transport.data.gouv.fr\")\n"
  },
  {
    "path": "config/mail.exs",
    "content": "import Config\n\n# Swoosh config. Do not send emails (in staging…), but instead log something.\n# Prod is configured in runtime.exs, and dev preview mailbox in dev.exs\nconfig :transport, Transport.Mailer,\n  adapter: Swoosh.Adapters.Logger,\n  level: :debug\n"
  },
  {
    "path": "config/prod.exs",
    "content": "import Config\n\nconfig :transport,\n  # The key used by Cloak. See `Transport.Vault`.\n  # This value should be base64 encrypted\n  # See https://github.com/danielberkompas/cloak#configuration\n  cloak_key: System.get_env(\"CLOAK_KEY\"),\n  s3_buckets: %{\n    history: \"resource-history-prod\",\n    on_demand_validation: \"on-demand-validation-prod\",\n    gtfs_diff: \"gtfs-diff-prod\",\n    logos: \"logos-prod\",\n    aggregates: \"aggregates-prod\"\n  }\n\n# Configure Sentry for production and staging.\n# Check out https://sentry.io/settings/transport-data-gouv-fr/projects/transport-site/install/elixir/\nconfig :sentry,\n  dsn: System.get_env(\"SENTRY_DSN\"),\n  csp_url: System.get_env(\"SENTRY_CSP_URL\")\n\n# `phoenix_ddos` is called in our own Plug `TransportWeb.Plugs.RateLimiter`\nconfig :phoenix_ddos,\n  safelist_ips: \"PHOENIX_DDOS_SAFELIST_IPS\" |> System.get_env(\"\") |> String.split(\"|\") |> Enum.reject(&(&1 == \"\")),\n  blocklist_ips: \"PHOENIX_DDOS_BLOCKLIST_IPS\" |> System.get_env(\"\") |> String.split(\"|\") |> Enum.reject(&(&1 == \"\")),\n  protections: [\n    # ip rate limit\n    {PhoenixDDoS.IpRateLimit,\n     allowed: \"PHOENIX_DDOS_MAX_2MIN_REQUESTS\" |> System.get_env(\"500\") |> Integer.parse() |> elem(0),\n     period: {2, :minutes}},\n    {PhoenixDDoS.IpRateLimit,\n     allowed: \"PHOENIX_DDOS_MAX_1HOUR_REQUESTS\" |> System.get_env(\"10000\") |> Integer.parse() |> elem(0),\n     period: {1, :hour}},\n    # ip rate limit on specific request_path\n    {PhoenixDDoS.IpRateLimitPerRequestPath, request_paths: [{:get, \"/login\"}], allowed: 5, period: {30, :seconds}},\n    {PhoenixDDoS.IpRateLimitPerRequestPath, request_paths: [{:post, \"/send_mail\"}], allowed: 1, period: {30, :seconds}}\n  ]\n\n# Do not print debug messages in production\nconfig :logger, level: :info\n"
  },
  {
    "path": "config/proxy-config.sample.yml",
    "content": "---\n# this is a sample which can be used during development.\n# to use it, rename to `proxy-config.yml`. you can check\n# out config/dev.exs to see how this gets loaded\nfeeds:\n  - identifier: \"httpbin-header-auth-ok\"\n    target_url: \"https://httpbin.org/bearer\"\n    ttl: 10\n    request_headers:\n      - [\"Authorization\", \"Bearer any-value-will-work-here\"]\n"
  },
  {
    "path": "config/runtime.exs",
    "content": "import Config\n\nrequire Logger\n\n# config/runtime.exs is executed for all environments, including\n# during releases. It is executed after compilation and before the\n# system starts, so it is typically used to load production configuration\n# and secrets from environment variables or elsewhere. Do not define\n# any compile-time configuration in here, as it won't be applied.\n\n{worker, webserver} =\n  case config_env() do\n    :prod ->\n      {\n        System.get_env(\"WORKER\") || raise(\"expected the WORKER environment variable to be set\"),\n        System.get_env(\"WEBSERVER\") || raise(\"expected the WEBSERVER variable to be set\")\n      }\n\n    :dev ->\n      # By default in dev, the application will be both a worker and a webserver\n      {\n        System.get_env(\"WORKER\", \"1\"),\n        System.get_env(\"WEBSERVER\", \"1\")\n      }\n\n    :test ->\n      {\n        \"0\",\n        \"0\"\n      }\n  end\n\nworker = worker == \"1\"\nwebserver = webserver == \"1\"\n\n# expose the result so that the application can configure itself from there\nconfig :transport,\n  worker: worker,\n  webserver: webserver,\n  # kill switches: set specific variable environments to disable features\n  disable_national_gtfs_map: System.get_env(\"DISABLE_NATIONAL_GTFS_MAP\") in [\"1\", \"true\"],\n  disable_netex_validator: System.get_env(\"DISABLE_NETEX_VALIDATOR\") in [\"1\", \"true\"]\n\nconfig :transport,\n  unlock_enforce_ttl: webserver,\n  dynamic_irve_tick_interval: :timer.seconds(if(config_env() == :dev, do: 10, else: 30)),\n  dynamic_irve_initial_sync: config_env() != :test\n\n# Inside IEx, we do not want jobs to start processing, nor plugins working.\n# The jobs can be heavy and for instance in production, one person could\n# unknowningly create duplicate RAM heavy jobs. With this trick, we can still\n# enqueue jobs from IEx, but only the real worker will process them\n# See https://github.com/sorentwo/oban/issues/520#issuecomment-883416363\niex_started? = Code.ensure_loaded?(IEx) && IEx.started?()\n\n# Scheduled jobs (via Quantum at this point) are run in production and only on the first worker node\n# https://www.clever-cloud.com/doc/reference/reference-environment-variables/#set-by-the-deployment-process\n# They should not run in an iex session either.\nif config_env() == :prod && !iex_started? && worker && System.fetch_env!(\"INSTANCE_NUMBER\") == \"0\" do\n  config :transport, Transport.QuantumScheduler, jobs: Transport.QuantumScheduler.scheduled_jobs()\nend\n\n# Make sure that APP_ENV is set in production to distinguish\n# production and staging (both running with MIX_ENV=prod)\n# See https://github.com/etalab/transport-site/issues/1945\napp_env = System.get_env(\"APP_ENV\", \"\") |> String.to_atom()\napp_env_is_valid = Enum.member?([:production, :staging], app_env)\n\nif config_env() == :prod and not app_env_is_valid do\n  raise(\"APP_ENV must be set to production or staging while in production\")\nend\n\n# on staging, allow override of configuration so that we can target other branches\nif app_env == :staging do\n  if url = System.get_env(\"TRANSPORT_PROXY_CONFIG_GITHUB_URL\") do\n    config :transport, unlock_github_config_url: url\n  end\nend\n\ndomain_name =\n  case config_env() do\n    :prod -> System.fetch_env!(\"DOMAIN_NAME\")\n    :test -> \"www.example.com\"\n    :dev -> \"localhost\"\n  end\n\nconfig :transport, domain_name: domain_name\n\nconfig :transport,\n  app_env: app_env,\n  mix_env: config_env()\n\n# Override configuration specific to staging\nif app_env == :staging do\n  config :transport,\n    s3_buckets: %{\n      history: \"resource-history-staging\",\n      on_demand_validation: \"on-demand-validation-staging\",\n      gtfs_diff: \"gtfs-diff-staging\",\n      logos: \"logos-staging\",\n      aggregates: \"aggregates-staging\"\n    }\nend\n\nbase_oban_conf = [repo: DB.Repo, insert_trigger: false]\n\n# Oban jobs that should run in every deployed environment (staging, prod)\n# but not during dev or test.\n#\n# - There is \"app_env :prod\" in contrast to :staging (ie production website vs prochainement)\n#   and \"config_env :prod\" in contrast to :dev et :test\n# - ⚠️ There is another (in-memory) crontab in `Transport.QuantumScheduler`, see `quantum_scheduler.ex`\n# See https://hexdocs.pm/oban/Oban.html#module-cron-expressions\noban_prod_crontab = [\n  {\"0 */6 * * *\", Transport.Jobs.ResourceHistoryAndValidationDispatcherJob},\n  {\"0 4,16 * * *\", Transport.Jobs.ResourceHistoryAndValidationDispatcherJob, args: %{mode: :reuser_improved_data}},\n  {\"30 */6 * * *\", Transport.Jobs.GTFSToGeoJSONConverterJob},\n  {\"30 */6 * * *\", Transport.Jobs.NeTExToGeoJSONConverterJob},\n  {\"0 4 * * *\", Transport.Jobs.GTFSImportStopsJob},\n  {\"20 8 * * *\", Transport.Jobs.CleanOrphanConversionsJob},\n  {\"0 * * * *\", Transport.Jobs.ResourcesUnavailableDispatcherJob},\n  {\"*/10 * * * *\", Transport.Jobs.ResourcesUnavailableDispatcherJob, args: %{only_unavailable: true}},\n  {\"20 */2 * * *\", Transport.Jobs.GTFSRTMetadataDispatcherJob},\n  {\"30 */6 * * *\", Transport.Jobs.BNLCToGeoData},\n  {\"30 */6 * * *\", Transport.Jobs.LowEmissionZonesToGeoData},\n  {\"30 */6 * * *\", Transport.Jobs.IRVEToGeoData},\n  {\"30 6 * * *\", Transport.Jobs.GBFSStationsToGeoData},\n  {\"15 1 * * *\", Transport.Jobs.DatabaseVacuumJob},\n  {\"15 10 * * *\", Transport.Jobs.DatabaseBackupReplicationJob},\n  {\"0 7 * * *\", Transport.Jobs.GTFSRTMultiValidationDispatcherJob},\n  {\"30 7 * * *\", Transport.Jobs.GBFSMultiValidationDispatcherJob},\n  {\"45 */3 * * *\", Transport.Jobs.ResourceHistoryJSONSchemaValidationJob},\n  # Validata JSON is not properly maintained/monitored.\n  # Disable it for now.\n  # https://github.com/etalab/transport-site/issues/3492\n  # {\"0 20 * * *\", Transport.Jobs.ResourceHistoryValidataJSONJob},\n  {\"15 */3 * * *\", Transport.Jobs.ResourceHistoryTableSchemaValidationJob},\n  {\"0 6 * * 1-5\", Transport.Jobs.NewDatagouvDatasetsJob, args: %{check_rules: true}},\n  {\"5 6 * * 1-5\", Transport.Jobs.NewDatagouvDatasetsJob},\n  {\"0 6 * * *\", Transport.Jobs.NewDatasetNotificationsJob},\n  {\"30 6 * * *\", Transport.Jobs.ExpirationNotificationJob},\n  {\"0 8 * * 1-5\", Transport.Jobs.NewCommentsNotificationJob},\n  {\"0 21 * * *\", Transport.Jobs.DatasetHistoryDispatcherJob},\n  # Should be executed after all `DatasetHistoryJob` have been executed\n  {\"50 21 * * *\", Transport.Jobs.ResourcesChangedNotificationJob},\n  {\"0 22 * * *\", Transport.Jobs.ArchiveMetricsJob},\n  {\"15,45 * * * *\", Transport.Jobs.MultiValidationWithErrorNotificationJob},\n  {\"20,50 * * * *\", Transport.Jobs.ResourceUnavailableNotificationJob},\n  {\"30 6 * * 1\", Transport.Jobs.DatasetsSwitchingClimateResilienceBillJob},\n  {\"30 6 * * 1-5\", Transport.Jobs.DatasetsClimateResilienceBillNotLOLicenceJob},\n  {\"10 6 * * 1\", Transport.Jobs.DatasetsWithoutGTFSRTRelatedResourcesNotificationJob},\n  {\"10 6 * * 1\", Transport.Jobs.GBFSOperatorsNotificationJob},\n  {\"45 2 * * *\", Transport.Jobs.RemoveHistoryJob, args: %{schema_name: \"etalab/schema-irve-dynamique\", days_limit: 7}},\n  {\"0 16 * * *\", Transport.Jobs.DatasetQualityScoreDispatcher},\n  {\"40 3 * * *\", Transport.Jobs.UpdateContactsJob},\n  {\"0 3 * * *\", Transport.Jobs.ImportCompaniesJob},\n  {\"40 4 * * *\", Transport.Jobs.CreateTokensJob, args: %{action: \"set_default_token_for_contacts\"}},\n  {\"50 3 * * *\", Transport.Jobs.CreateTokensJob, args: %{action: \"create_tokens_for_organizations\"}},\n  {\"30 4 * * *\", Transport.Jobs.CreateTokensJob, args: %{action: \"create_tokens_for_contacts_without_org\"}},\n  {\"10 5 * * *\", Transport.Jobs.NotificationSubscriptionProducerJob},\n  # \"At 08:15 on Monday in March, June, and November.\"\"\n  # The job will make sure that it's executed only on the first Monday of these months\n  {\"15 8 * 3,6,11 1\", Transport.Jobs.PeriodicReminderProducersNotificationJob},\n  {\"15 5 * * *\", Transport.Jobs.ImportDatasetFollowersJob},\n  {\"5 5 * * *\", Transport.Jobs.ImportDatasetFollowerReuserImprovedDataJob},\n  {\"20 5 * * *\", Transport.Jobs.ImportDatasetContactPointsJob},\n  # Should be ideally executed after `GBFSMultiValidationDispatcherJob` to use fresh metadata\n  {\"30 8 * * *\", Transport.Jobs.ImportGBFSFeedContactEmailJob},\n  {\"20 5 * * *\", Transport.Jobs.ImportReusesJob},\n  {\"30 5 * * *\", Transport.Jobs.ImportDatasetMonthlyMetricsJob},\n  {\"45 5 * * *\", Transport.Jobs.ImportResourceMonthlyMetricsJob},\n  {\"0 8 * * *\", Transport.Jobs.WarnUserInactivityJob},\n  {\"*/5 * * * *\", Transport.Jobs.UpdateCounterCacheJob},\n  {\"0 4 * * *\", Transport.Jobs.StopsRegistrySnapshotJob},\n  {\"30 2 * * *\", Transport.Jobs.IRVERawConsolidationJob},\n  {\"45 4 * * *\", Transport.Jobs.IRVESimpleConsolidationJob},\n  {\"10 * * * *\", Transport.Jobs.DefaultTokensJob},\n  {\"0 2 * * *\", Transport.Jobs.CleanOnDemandValidationJob},\n  {\"10 2 * * *\", Transport.Jobs.CleanMultiValidationJob},\n  {\"20 2 * * *\", Transport.Jobs.TableSizeHistoryJob},\n  {\"40 * * * *\", Transport.Jobs.RefreshAutocompleteJob},\n  # End of year, 29th of December\n  {\"0 8 29 12 *\", Transport.Jobs.VisitProxyStatisticsJob},\n  {\"0 8 29 12 *\", Transport.Jobs.VisitDownloadStatisticsJob}\n]\n\n# Make sure that all modules exist\noban_prod_crontab |> Enum.map(&Code.ensure_compiled!(elem(&1, 1)))\n\noban_crontab_all_envs =\n  case config_env() do\n    :prod -> oban_prod_crontab\n    :dev -> []\n    :test -> []\n  end\n\n# Oban Jobs that only run on the production server.\nproduction_server_crontab =\n  if app_env == :production and config_env() == :prod do\n    # GTFS validations can be heavy for the validator, we run them only on the production server\n    [{\"0 2,8,14,20 * * *\", Transport.Jobs.GTFSValidationJob}]\n  else\n    []\n  end\n\nextra_oban_conf =\n  if not worker || iex_started? || config_env() == :test do\n    [testing: :manual]\n  else\n    [\n      queues: [\n        default: 2,\n        enroute_conversions: 10,\n        heavy: 1,\n        on_demand_validation: 1,\n        resource_validation: 1,\n        workflow: 2\n      ],\n      plugins: [\n        {Oban.Plugins.Pruner, max_age: 60 * 60 * 24},\n        {Oban.Plugins.Lifeline, rescue_after: :timer.minutes(60)},\n        {Oban.Plugins.Cron, crontab: List.flatten(oban_crontab_all_envs, production_server_crontab)}\n      ]\n    ]\n  end\n\nconfig :transport, Oban, Keyword.merge(base_oban_conf, extra_oban_conf)\n\n# here we only override specific keys. As documented in https://hexdocs.pm/elixir/master/Config.html#config/2,\n# for keywords there is a recursive deep-merge, which should work nicely here.\nif config_env() == :dev do\n  config :transport, TransportWeb.Endpoint,\n    # optionally allowing to override the port is useful to play with 2 nodes locally, without conflict\n    http: [port: System.get_env(\"PORT\", \"5000\")],\n    #  We also make sure to start the assets watcher only if the webserver is up, to avoid cluttering the logs.\n    watchers: if(webserver, do: [npm: [\"run\", \"--prefix\", \"apps/transport/client\", \"watch\"]], else: [])\nend\n\nif config_env() == :prod do\n  pool_size =\n    case app_env do\n      :production -> (System.get_env(\"PG_POOL_SIZE\") || \"15\") |> String.to_integer()\n      :staging -> (System.get_env(\"PG_POOL_SIZE\") || \"6\") |> String.to_integer()\n    end\n\n  config :transport, DB.Repo,\n    url:\n      System.get_env(\"POSTGRESQL_ADDON_DIRECT_URI\") || System.get_env(\"POSTGRESQL_ADDON_URI\") ||\n        \"\" |> String.replace_prefix(\"postgresql\", \"ecto\"),\n    # NOTE: we must be careful with this ; front-end + worker are consuming\n    pool_size: pool_size,\n    # Broken TCP connections can stop Oban from polling jobs\n    # https://github.com/sorentwo/oban/issues/493#issuecomment-1187001822\n    # https://github.com/sorentwo/oban/issues/769 is not released yet,\n    # the alternative is to use this configuration or use [the Repeater\n    # plugin](https://hexdocs.pm/oban/Oban.Plugins.Repeater.html).\n    # https://github.com/sorentwo/oban/issues/821#issuecomment-1369218531\n    parameters: [\n      tcp_keepalives_idle: \"60\",\n      tcp_keepalives_interval: \"5\",\n      tcp_keepalives_count: \"3\"\n    ],\n    socket_options: [keepalive: true],\n    # See https://hexdocs.pm/db_connection/DBConnection.html#start_link/2-queue-config\n    # [Ecto.Repo] :pool_timeout is no longer supported in favor of a new queue system described in DBConnection.start_link/2\n    # under \"Queue config\". For most users, configuring :timeout is enough, as it now includes both queue and query time\n    timeout: 15_000\n\n  config :transport, TransportWeb.Endpoint,\n    http: [port: System.get_env(\"PORT\"), compress: true],\n    url: [scheme: \"https\", host: System.get_env(\"DOMAIN_NAME\"), port: 443],\n    cache_static_manifest: \"priv/static/cache_manifest.json\",\n    secret_key_base: System.get_env(\"SECRET_KEY_BASE\"),\n    force_ssl: [rewrite_on: [:x_forwarded_proto]],\n    live_view: [\n      signing_salt: System.get_env(\"SECRET_KEY_BASE\")\n    ]\n\n  if app_env == :production do\n    # data.gouv.fr IDs for national databases created automatically and\n    # published by us on data.gouv.fr.\n    # Overrides values set in `config.exs`\n    config :transport,\n      consolidation:\n        Map.merge(Application.fetch_env!(:transport, :consolidation), %{\n          zfe: %{\n            dataset_id: \"625438b890bf88454b283a55\",\n            resource_ids: %{\n              \"voies\" => \"3a5d0c66-aef9-4d68-841f-4fe81c9de980\",\n              \"aires\" => \"673a16bf-49ec-4645-9da2-cf975d0aa0ea\"\n            }\n          }\n        })\n\n    config :transport, Transport.Mailer,\n      adapter: Swoosh.Adapters.Mailjet,\n      api_key: System.fetch_env!(\"MJ_APIKEY_PUBLIC\"),\n      secret: System.fetch_env!(\"MJ_APIKEY_PRIVATE\")\n  end\nend\n\n# On Clever Cloud, each container gets assigned a UUID, which gets propagated to AppSignal.\n# It is easier to assign the container a \"role\" so that we can more easily charts relevant metrics.\nhost_role =\n  []\n  |> Kernel.++(if webserver, do: [\"site\"], else: [])\n  |> Kernel.++(if worker, do: [\"worker\"], else: [])\n  |> Enum.join(\"-\")\n\n# NOTE: for dev work, use dev.secret.exs instead\nif config_env() == :prod do\n  # staging vs production\n  app_signal_env = app_env\n\n  # inspired from the installer and\n  # https://docs.appsignal.com/elixir/configuration.html\n\n  # revision tracking is helpful to track optimisations & regressions\n  {revision, exitcode} = System.cmd(\"git\", [\"log\", \"--pretty=format:%h\", \"-n 1\"])\n  revision = if exitcode == 0, do: revision, else: nil\n\n  config :appsignal, :config,\n    # https://docs.appsignal.com/elixir/integrations/ecto.html\n    otp_app: :transport,\n    # NOTE: not directly using APPSIGNAL_* variables to let us decide programmatically,\n    # because APPSIGNAL_* variables take precedence\n    name: System.get_env(\"CUSTOM_APPSIGNAL_APP_NAME\", \"transport.data.gouv.fr\"),\n    push_api_key: System.get_env(\"CUSTOM_APPSIGNAL_PUSH_API_KEY\"),\n    env: app_signal_env,\n    host_role: host_role,\n    revision: revision,\n    active: true\nend\n"
  },
  {
    "path": "config/test.exs",
    "content": "import Config\n\nalias Datagouvfr.Authentication\n\n# avoid test failures with VCR, as tzdata tries to update\nconfig :tzdata, :autoupdate, :disabled\n\n# We don't run a server during test. If one is required,\n# you can enable the server option below.\nconfig :transport, TransportWeb.Endpoint,\n  # If you change this, there are hardcoded refs in the source to update\n  http: [port: 5100],\n  server: true\n\nconfig :oauth2, adapter: Tesla.Mock\n\nconfig :transport,\n  unlock_config_fetcher: Unlock.Config.Fetcher.Mock,\n  unlock_http_client: Unlock.HTTP.Client.Mock,\n  # Used for config testing\n  unlock_github_config_url: \"https://localhost/some-github-url\",\n  unlock_github_auth_token: \"some-test-github-auth-token\"\n\n# Use stubbing to enjoy disconnected tests & allow setting mocks expectations\nconfig :transport,\n  cache_impl: Transport.Cache.Null,\n  ex_aws_impl: Transport.ExAWS.Mock,\n  httpoison_impl: Transport.HTTPoison.Mock,\n  req_impl: Transport.Req.Mock,\n  history_impl: Transport.History.Fetcher.Mock,\n  gtfs_validator: Shared.Validation.Validator.Mock,\n  gbfs_validator_impl: Shared.Validation.GBFSValidator.Mock,\n  rambo_impl: Transport.Rambo.Mock,\n  gbfs_metadata_impl: Transport.GBFSMetadata.Mock,\n  availability_checker_impl: Transport.AvailabilityChecker.Mock,\n  jsonschema_validator_impl: Transport.Validators.JSONSchema.Mock,\n  tableschema_validator_impl: Transport.Validators.TableSchema.Mock,\n  schemas_impl: Transport.Schemas.Mock,\n  hasher_impl: Hasher.Mock,\n  validator_selection: Transport.ValidatorsSelection.Mock,\n  data_visualization: Transport.DataVisualization.Mock,\n  unzip_s3_impl: Transport.Unzip.S3.Mock,\n  siri_query_generator_impl: Transport.SIRIQueryGenerator.Mock,\n  s3_buckets: %{\n    history: \"resource-history-test\",\n    on_demand_validation: \"on-demand-validation-test\",\n    gtfs_diff: \"gtfs-diff-test\",\n    logos: \"logos-test\",\n    aggregates: \"aggregates-test\"\n  },\n  workflow_notifier: Transport.Jobs.Workflow.ProcessNotifier,\n  export_secret_key: \"fake_export_secret_key\",\n  proxy_config_secret_key: \"fake_proxy_config_secret_key\",\n  api_auth_clients: \"client1:secret_token;client2:other_token\",\n  enroute_validation_token: \"fake_enroute_token\",\n  enroute_rulesets_token: \"fake_enroute_token\",\n  enroute_validator_client: Transport.EnRouteChouetteValidClient.Mock,\n  enroute_rulesets_client: Transport.EnRoute.ChouetteValidRulesetsClient.Mock,\n  netex_validator: Transport.Validators.NeTEx.Validator.Mock,\n  mobilitydata_gtfs_validator_client: Transport.Validators.MobilityDataGTFSValidatorClient.Mock,\n  unlock_event_incrementer: Unlock.BatchMetrics.Mock\n\nconfig :ex_aws,\n  cellar_organisation_id: \"fake-cellar_organisation_id\"\n\nconfig :ex_aws, :database_backup_source, bucket_name: \"fake_source_bucket_name\"\n\nconfig :ex_aws, :database_backup_destination, bucket_name: \"fake_destination_bucket_name\"\n\n# data.gouv.fr\nconfig :transport,\n  community_resources_impl: Datagouvfr.Client.CommunityResources.Mock,\n  authentication_impl: Datagouvfr.Authentication.Mock,\n  user_impl: Datagouvfr.Client.User.Mock,\n  datagouvfr_reuses: Datagouvfr.Client.Reuses.Mock,\n  datagouvfr_discussions: Datagouvfr.Client.Discussions.Mock,\n  organization_impl: Datagouvfr.Client.Organization.Mock,\n  # The two following implementations are often overriden with Mox.stubs_with/2 in tests\n  # Because legacy tests mock at a lower level (HTTPoison), we need to keep the same behavior for now\n  datasets_impl: Datagouvfr.Client.Datasets.Mock,\n  resources_impl: Datagouvfr.Client.Resources.Mock\n\n# capture all info logs and up during tests\nconfig :logger, level: :debug\n\n# ... but show only warnings and up on the console\nconfig :logger, :console, level: :warning\n\n# Configure data.gouv.fr authentication\nconfig :oauth2, Authentication,\n  site: \"https://demo.data.gouv.fr\",\n  client_id: \"my_client_id\",\n  client_secret: \"my_client_secret\"\n\n# Validator configuration\nconfig :transport, gtfs_validator_url: System.get_env(\"GTFS_VALIDATOR_URL\") || \"http://127.0.0.1:7878\"\n\nconfig :exvcr,\n  vcr_cassette_library_dir: \"test/fixture/cassettes\",\n  filter_request_headers: [\"authorization\"]\n\nconfig :transport, DB.Repo,\n  url:\n    System.get_env(\"PG_URL_TEST\") || System.get_env(\"PG_URL\") ||\n      \"ecto://postgres:postgres@localhost/transport_test\",\n  pool: Ecto.Adapters.SQL.Sandbox,\n  # https://hexdocs.pm/db_connection/DBConnection.html#start_link/2-queue-config\n  # fix for https://github.com/etalab/transport-site/issues/2539\n  queue_target: 5000\n\nconfig :transport,\n  resource_unavailable_skip_resource_ids: [],\n  datagouvfr_site: \"https://demo.data.gouv.fr\",\n  datagouvfr_apikey: \"fake-datagouv-api-key\",\n  # NOTE: some tests still rely on ExVCR cassettes at the moment. We configure the\n  # expected host here, until we move to a behaviour-based testing instead.\n  gtfs_validator_url: \"https://validation.transport.data.gouv.fr\",\n  consolidation: %{\n    zfe: %{\n      dataset_id: \"zfe_fake_dataset_id\",\n      resource_ids: %{\n        \"voies\" => \"zfe_voies_fake_resource_id\",\n        \"aires\" => \"zfe_aires_fake_resource_id\"\n      }\n    },\n    bnlc: %{\n      dataset_id: \"bnlc_fake_dataset_id\",\n      resource_id: \"bnlc_fake_resource_id\"\n    },\n    irve: %{\n      resource_id: \"eb76d20a-8501-400e-b336-d85724de5435\"\n    }\n  }\n\nsecret_key_base = \"SOME-LONG-SECRET-KEY-BASE-FOR-TESTING-SOME-LONG-SECRET-KEY-BASE-FOR-TESTING\"\n\nconfig :transport, TransportWeb.Endpoint,\n  secret_key_base: secret_key_base,\n  live_view: [\n    # NOTE: unsure if this is actually great to reuse the same value\n    signing_salt: secret_key_base\n  ]\n\nconfig :phoenix_ddos,\n  blocklist_ips: [\"1.2.3.4\"]\n\n# The Swoosh test adapter works a bit like an embryo of Mox.\n# See: https://github.com/swoosh/swoosh/blob/main/lib/swoosh/adapters/test.ex\n#\n# It won't be as flexible in all situations (see https://github.com/swoosh/swoosh/issues/66).\n#\n# If this causes issues, we will have instead to create\n# a behaviour/wrapper around `Transport.Mailer`\nconfig :transport, Transport.Mailer, adapter: Swoosh.Adapters.Test\n\n# avoid logging\nconfig :os_mon,\n  start_memsup: false\n\n# See https://hexdocs.pm/sentry/Sentry.Test.html\nconfig :sentry,\n  test_mode: true,\n  csp_url: \"\"\n\nconfig :phoenix_live_view,\n  enable_expensive_runtime_checks: true\n\n# Override the default `@max_records` defined in the module, to keep tests fast\nconfig :transport, clean_multi_validation_max_records: 1\n\n# Override the default `@max_emails_per_day` defined in the module, to test the scheduling logic\nconfig :transport, periodic_reminder_producers_chunk_size: 1\n\n# Disabled by default during tests; tests that need it should start the poller locally\nconfig :transport, explore_vehicle_positions_poller_enabled: false\n\n# Disabled by default during tests; tests that need it should start it locally\nconfig :transport, quantum_scheduler_enabled: false\n\n# Safety: tests that exercise WorkerHealthcheck.stop_the_beam! must not actually halt the suite\nconfig :transport, worker_healthcheck_halts_beam: false\n\n# Re-raise exceptions caught in Unlock.Controller so ExUnit assertions can catch them\nconfig :transport, unlock_controller_rescue_mode: :reraise\n"
  },
  {
    "path": "dialyzer-plt/.gitkeep",
    "content": ""
  },
  {
    "path": "docker/database/Dockerfile",
    "content": "FROM mdillon/postgis:11-alpine\n\n# PATH to the clever cloud backup file\nARG BACKUP_PATH\n\nENV POSTGRES_DB transport_repo\n\nCOPY restore_db.sh /docker-entrypoint-initdb.d/\nCOPY create_test_db.sh /docker-entrypoint-initdb.d/\nCOPY ${BACKUP_PATH} /db_backup\n\n\n"
  },
  {
    "path": "docker/database/create_test_db.sh",
    "content": "#!/bin/bash\n# create test database\ncreatedb transport_test"
  },
  {
    "path": "docker/database/readme.md",
    "content": "# Script to build a database docker image\n\nTo build the image run:\n\n`docker build -t transport_data_gouv_dev_database --build-arg BACKUP_PATH=<path_to_the_backup_file> .`\n\nNote: backup file needs to be in the directory.\n\nIf you want to push it to dockerhub (change the destination image name if needed):\n\n`docker login`\n\n`docker tag transport_data_gouv_dev_database antoinede/transport_data_gouv_dev_database:latest`\n\n`docker push antoinede/transport_data_gouv_dev_database:latest`"
  },
  {
    "path": "docker/database/restore_db.sh",
    "content": "#!/bin/bash -x\n\nDB_NAME=\"transport_repo\"\nBACKUP_PATH=\"/db_backup\"\n\n# the pg_restore fail for some obscure reasons, but the import seems to be ok\npg_restore --dbname=$DB_NAME --format=c --no-owner --clean $BACKUP_PATH || true\n\n# add a check\nnb_datasets=`psql -qtAX $DB_NAME -c \"select count(*) from dataset;\"`\n\nif [[ $nb_datasets -eq 0 ]]; then\n    echo \"no datasets loaded, something is strange\"\n    exit 1\nfi\n"
  },
  {
    "path": "docker-compose.yml",
    "content": "version: \"3\"\nservices:\n  database:\n    # this will need to be replaced, as the DB content is now really old\n    image: antoinede/transport_data_gouv_dev_database\n    volumes:\n      - pgdata:/var/lib/postgresql/data\n    environment:\n      POSTGRES_DB: transport_repo\n      POSTGRES_PASSWORD: postgres # obviously do not use this in production\n  web:\n    build:\n      context: .\n      dockerfile: Dockerfile.dev\n    ports:\n      - 5000:5000\n    volumes:\n      - build:/app/_build\n      - deps:/app/deps\n      - ./apps:/app/apps/\n    env_file:\n        - .env\n    environment:\n        PG_URL: ecto://postgres:postgres@database/transport_repo\n        PG_URL_TEST: ecto://postgres:postgres@database/transport_test\n    depends_on:\n        - database\nvolumes:\n  pgdata:\n  .:\n  build:\n  .:\n  deps:\n  .:\n"
  },
  {
    "path": "docker_phoenix_startup.sh",
    "content": "#!/usr/bin/env bash\nset -euo pipefail\n\n# wait for postgresql to be up\n/opt/bin/wait-for-it.sh database:5432 --timeout=1000\n\n# settings up the dependencies\nmix deps.get\nmix deps.compile\nmix yarn install\n\n# migrating the database schema\nmix ecto.migrate\n\n# starting up the server, you can visit localhost:5000/\nmix phx.server\n"
  },
  {
    "path": "docs/contacts.md",
    "content": "# Contacts\n\nCe document décrit le fonctionnement des contacts dans notre application.\n\n## Concepts métiers\n\nLes contacts au sens de transport.data.gouv.fr sont des utilisateurs ou des listes de diffusion (`opendata@ma-collectivite.fr`).\n\nCes contacts sont créés :\n- par le biais du backoffice par des membres de l'équipe du PAN\n- automatiquement lors de la connexion au PAN par le biais de l'OAuth avec data.gouv.fr\n\nAinsi les contacts peuvent être des :\n- producteurs : agents de collectivités, prestataires techniques assistant les collectivités ou entreprises, salariés d'entreprises de mobilité\n- listes de diffusion : services SIG, open data et mobilité principalement\n- réutilisateurs de données\n- curieux\n\n## Champs obligatoires\n\nLes champs obligatoires sont des informations sur :\n- l'identité (nom et prénom OU titre pour une liste de diffusion)\n- adresse e-mail\n\n## Lien entre contact et utilisateur data.gouv.fr\n\nUn contact créé depuis le backoffice n'a pas de `datagouv_user_id`. Si la personne se connecte plus tard sur le PAN avec l'adresse e-mail associée au contact les comptes sont \"liés\" et on reprend le `datagouv_user_id`.\n\n## Protection des données\n\nL'adresse e-mail (`email`) et le numéro de téléphone (`phone_number`) sont stockés de manière chiffrée en base de données.\n\nLa colonne `email_hash` permet de retrouver un contact par son adresse e-mail.\n\n## Cycle de vie\n\n### Créations\n\n- Un contact créé depuis le backoffice est géré par [`TransportWeb.Backoffice.ContactController`](https://github.com/etalab/transport-site/blob/master/apps/transport/lib/transport_web/controllers/backoffice/contact_controller.ex).\n- La création d'un contact lors de la connexion est effectuée dans [`TransportWeb.SessionController`](https://github.com/etalab/transport-site/blob/4698271861462b72ea2eed4c310c301562ad3eee/apps/transport/lib/transport_web/controllers/session_controller.ex#L57). Ce controller est également en charge de sauvegarder un `datagouv_user_id` dans le cas où un contact est déjà existant (comparaison avec l'adresse e-mail).\n\n### Mises à jour\n\n- Un job ([`Transport.Jobs.UpdateContactsJob`](https://github.com/etalab/transport-site/blob/master/apps/transport/lib/jobs/update_contacts_job.ex)) est en charge de maintenir à jour les organisations associées à chaque contact pour lesquelles un `datagouv_user_id` est renseigné. Ce job est exécuté de manière quotidienne\n- À chaque connexion sur le PAN ([une session dure 15 jours](https://github.com/etalab/transport-site/blob/4698271861462b72ea2eed4c310c301562ad3eee/apps/transport/lib/transport_web/endpoint.ex#L5-L12)), les informations de l'utilisateur data.gouv.fr sont synchronisées (prénom, nom, adresse e-mail). La dernière date de connexion est stockée dans `last_login_at`.\n\n### Suppression\n\nLa seule possibilité de supprimer un contact est pour le moment par le biais du backoffice.\n\nUn utilisateur ne peut pas supprimer son compte de manière autonome et un compte n'est pas supprimé en cas d'inactivité prolongée.\n\n## Rôles de producteurs et de réutilisateurs\n\nOn ne qualifie pas le rôle d'un contact directement dans la table `contact`. En effet ce rôle (producteur ou réutilisateur) peut être mixte et est propre à un contexte ou un jeu de données.\n\nCette distinction est actuellement présente lors de l'abonnement aux notifications. Le contenu des notifications est adapté au rôle de l'utilisateur.\n\n## Abonnements aux notifications\n\nUn contact membre d'une organisation qui a un jeu de données sur le PAN pourra modifier des éléments de ce jeu de données sur son Espace Producteur et pourra s'abonner aux notifications en lien avec ce jeu de données en tant que producteur.\n\nUn membre de l'équipe du PAN a la possibilité d'abonner des contacts à des notifications depuis le backoffice. Ceci est utilisé pour pouvoir abonner des contacts qui ne sont pas membres d'une organisation data.gouv.fr (prestataires techniques par exemple) mais qui ont un rôle de gestion d'un jeu de données. On considère que les abonnements aux notifications créés depuis le backoffice sont pour des contacts ayant un rôle de producteur et ceci est sauvegardé ainsi en base de données dans `notification_subscription.role`.\n\nSi un contact était abonné en tant que réutilisateur à des notifications et qu'il devient membre de l'organisation produisant le jeu de données, son rôle sera mis à jour automatiquement par [`Transport.Jobs.NotificationSubscriptionProducerJob`](https://github.com/etalab/transport-site/blob/master/apps/transport/lib/jobs/notification_subscription_producer_job.ex), exécuté quotidiennement.\n"
  },
  {
    "path": "docs/data_model.livemd",
    "content": "# Modèle de données\n\n```elixir\nmy_app_root = Path.join(__DIR__, \"..\")\n\nMix.install(\n  [\n    {:my_app, path: my_app_root, env: :dev},\n    {:kino, \"~> 0.10.0\"}\n  ],\n  config_path: Path.join(my_app_root, \"config/config.exs\"),\n  lockfile: Path.join(my_app_root, \"mix.lock\")\n)\n```\n\n## Exploration\n\nAu coeur du modèle du PAN il y a le dataset:\n\n```elixir\n# shut down debug logging (including Ecto/SQL)\nLogger.configure(level: :warning)\n\nEcto.Adapters.SQL.query!(\n  DB.Repo,\n  \"SELECT id, datagouv_id, slug, custom_title FROM dataset\"\n)\n|> Kino.DataTable.new()\n```\n\nL'url de chaque dataset s'appuie sur son `slug` (url unique fournie par data gouv):\n\n```elixir\nEcto.Adapters.SQL.query!(\n  DB.Repo,\n  \"SELECT 'http://localhost:5000/datasets/' || slug as url FROM dataset\"\n)\n|> Kino.DataTable.new()\n```\n\nÀ chaque dataset, sont associées une ou plusieurs ressources (avec leur format, leur url propre, leur titre etc):\n\n```elixir\nEcto.Adapters.SQL.query!(\n  DB.Repo,\n  \"\"\"\n  SELECT\n    dataset.id as d_id,\n    resource.id as r_id,\n    'http://localhost:5000/resources/' || resource.id as r_url,\n    resource.format as r_format,\n    resource.title as r_title,\n    dataset.datagouv_id as d_gid,\n    dataset.slug as d_slug,\n    dataset.custom_title as d_title\n\n  FROM (SELECT * from dataset ORDER BY id desc limit 3) dataset\n\n  LEFT JOIN resource resource on resource.dataset_id = dataset.id\n  ORDER by dataset.id asc\n  \"\"\"\n)\n|> Kino.DataTable.new()\n```\n\nOn va se concentrer sur un dataset en particulier:\n\n```elixir\nwell_known_slug = \"Réseau urbain Bibus\"\n\nEcto.Adapters.SQL.query!(\n  DB.Repo,\n  \"\"\"\n  SELECT\n    resource.format as r_format,\n    resource.title as r_title\n\n  FROM (SELECT * from dataset WHERE custom_title = $1) dataset\n\n  LEFT JOIN resource resource on resource.dataset_id = dataset.id\n  ORDER by resource.title asc\n  \"\"\",\n  [well_known_slug]\n)\n|> Kino.DataTable.new()\n```\n\nPuis sur une ressource en particulier:\n\n```elixir\nwell_known_title = \"Réseau urbain Bibus\"\n\n%{rows: [[gtfs_resource_id]]} =\n  Ecto.Adapters.SQL.query!(\n    DB.Repo,\n    \"\"\"\n    SELECT\n      resource.id as r_id\n\n    FROM (SELECT * from dataset WHERE custom_title = $1) dataset\n\n    LEFT JOIN resource resource on resource.dataset_id = dataset.id\n\n    where resource.format = 'GTFS'\n    \"\"\",\n    [well_known_title]\n  )\n\n%{rows: [[well_known_dataset_slug, datagouv_id]]} =\n  Ecto.Adapters.SQL.query!(\n    DB.Repo,\n    \"\"\"\n    SELECT dataset.slug, dataset.datagouv_id from dataset WHERE custom_title = $1\n    \"\"\",\n    [well_known_title]\n  )\n\n\"\"\"\n\nLa ressource avec id #{gtfs_resource_id} est visible via http://localhost:5000/resources/#{gtfs_resource_id}\n\nSon historique est visualisé sur la page du dataset, qui est:\n- http://localhost:5000/datasets/#{well_known_dataset_slug}#backed-up-resources (via le slug)\n- http://localhost:5000/datasets/#{datagouv_id} (via le data gouv id)\n\"\"\"\n|> Kino.Markdown.new()\n```\n\nÀ chaque Resource est associée N ResourceHistory, qui représentent les versions historisées de la ressource (dont on détecte les changements). C'est ce qui est affiché sur la page du Dataset actuellement.\n\n```elixir\n# this is displayed on the dataset page, not on the resource detail page\ndata =\n  Ecto.Adapters.SQL.query!(\n    DB.Repo,\n    \"\"\"\n    SELECT * from resource_history WHERE resource_id = $1\n\n    ORDER BY inserted_at DESC\n    \"\"\",\n    [gtfs_resource_id]\n  )\n\ndata |> Kino.DataTable.new()\n```\n\nOn peut obtenir la dernière version d'une Resource via Ecto au lieu de faire du SQL, comme suit:\n\n```elixir\nimport Ecto.Query\n\nresource_history_query =\n  from(rh in DB.ResourceHistory,\n    where: rh.resource_id == ^gtfs_resource_id,\n    order_by: {:desc, rh.inserted_at},\n    limit: 1\n  )\n\nresource_history_query\n|> DB.Repo.one()\n```\n\nOn note les associations `validations` et `metadata` en particulier (tout en bas).\n\nÀ partir de la `ResourceHistory` on peut obtenir les metadatas associées (`DB.ResourceMetadata`) qui sont en fait également liées chacune à une `DB.MultiValidation` (dont on voit l'id `multi_validation_id` ci-dessous):\n\n```elixir\nresource_history_query\n|> preload(:metadata)\n|> DB.Repo.one()\n|> Map.take([:metadata])\n```\n\nOn peut également obtenir les validations `DB.MultiValidation`:\n\n```elixir\nresource_history_query\n|> preload(:validations)\n|> DB.Repo.one()\n|> Map.fetch!(:validations)\n|> Kino.DataTable.new()\n```\n\nEn utilisant la commande `mix ecto.gen.erd --output-path=ecto_erd.mmd` et en filtrant un peu à la main, on obtient cette vue très simplifiée de ce qui est discuté ci-dessus:\n\n<!-- livebook:{\"break_markdown\":true} -->\n\n<!-- Learn more at https://mermaid-js.github.io/mermaid -->\n\n```mermaid\nerDiagram\n  dataset ||--|{ resource : \"\"\n  multi_validation ||--o| resource_metadata : \"\"\n  resource ||--|{ multi_validation : \"\"\n  resource ||--|{ resource_history : \"\"\n  resource ||--|{ resource_metadata : \"\"\n  resource_history ||--|{ multi_validation : \"\"\n  resource_history ||--|{ resource_metadata : \"\"\n```\n\n<!-- livebook:{\"break_markdown\":true} -->\n\nÀ suivre!\n"
  },
  {
    "path": "docs/inventaire_donnees_geographiques_septembre_2023.md",
    "content": "# Les jeux de données\n\nLes jeux de données n’ont pas d’information géographique en propre (pas de coordonnées, de polygone, etc), mais en ont à travers leur couverture géographique, leurs responsables légaux, et évidemment le contenu des ressources.\n\n## La couverture géographique\n\n**Les datasets ont une couverture géographique, qui apparaît sur la carte de la page d’un dataset.** C’est une information indicative qui est indépendante de la réalité de ce qui est contenu dans les resources, qui peut allégrement dépasser cette couverture ou être bien plus réduit. **Cette couverture géographique est soit :**\n\n1. une région (champ `region_id`)\n    - Une vraie région\n    - Une région spéciale : la France entière\n2. un AOM – (champ `aom_id`)\n3. une ou plusieurs communes (à travers la table de jointure `datasets_communes`). Dans le dernier cas, ils ont (dans les faits) toujours le champ `associated_territory` qui est rempli, et qui donne un nom à l’ensemble des communes (exemple : “Métropole du Grand Lyon”). Ce champ est exclusif des deux autres, mais c’est une pratique qui n’est pas obligatoire dans le code.\n\nDans les deux premiers cas, la région ou l’AOM sont renseignés à la main à travers le backoffice.\n\nPar contre la couverture communale est aspirée depuis data.gouv, lorsque la couverture d’un JDD inclut soit des communes, soit des EPCI, voir `apps/transport/lib/transport/import_data.ex#read_datagouv_zone`,  puis le champ `associated_territory` est renseigné à la main à travers le backoffice.\n\n**La couverture territoriale du dataset est simplement considérée comme la géométrie (polygone) de la région, de l’AOM, ou de l’ensemble des communes.**\n\nIl y a des limites à ce mécanisme de couverture géographique : par exemple il y a des jeux de données départementaux qui sont indiqués comme ayant une couverture régionale (donc la carte est incorrecte, et *plus grave, ça perturbe aussi la recherche par commune puisque en cherchant une commune, un dataset d’un autre département de la même région peut remonter*) : [https://transport.data.gouv.fr/datasets/reseau-interurbain-cars-region-cantal-15](https://transport.data.gouv.fr/datasets/reseau-interurbain-cars-region-cantal-15) (remarque : dans ce cas, aucune couverture géographique n’est indiqué sur data.gouv…). De même, plutôt que relier à l’objet EPCI (intercommunalité, communauté de communes, métropole…), on préfère indiquer une collection de communes, sans dire «mais en réalité il s’agit de tel EPCI qui a un nom »..\n\nD’après Cyril, il est possible d’avoir des jeux de données avec des couvertures territoriales baroques, qui ne recouvrent pas une collectivité territoriale mais par exemple, soit pour 2 EPCI, ou seulement une partie d’un EPCI… À prendre en compte lors de la refonte de ce mécanisme.\n\n## Le représentant légal\n\n**Un dataset peut être rattaché à un ou plusieurs régions et/ou un ou plusieurs AOM en tant que «représentant légal».** Cela est réalisé à travers deux tables de jointures, dataset_region_local_owner et dataset_aom_legal_owner. C’est aussi renseigné à la main à travers le backoffice.\n\n**Ce mécanisme est différent de la couverture géographique prédécente**. On peut par exemple avoir :\n\n- un jeu de données avec une *couverture territoriale* nationale mais plusieurs régions *référentes légales* (cas du JDD des TER),\n- ou à l’inverse, une couverture locale (exemple des autocars scolaires de l’ile de Ré, couverture multi-communale, mais dont le représentant légal est la région [https://transport.data.gouv.fr/datasets/horaires-theoriques-et-temps-reel-du-reseau-ile-de-re-la-rochelle-nouvelle-aquitaine-3-3e-et-scolaires-gtfs-gtfs-r](https://transport.data.gouv.fr/datasets/horaires-theoriques-et-temps-reel-du-reseau-ile-de-re-la-rochelle-nouvelle-aquitaine-3-3e-et-scolaires-gtfs-gtfs-rt))\n\nUn dataset peut à la fois avoir des régions et des AOM comme représentants légaux :\n\n```sql\nselect dalo.dataset_id, d.custom_title, dalo.aom_id, a.nom, drlo.region_id, r.nom from dataset_aom_legal_owner dalo\njoin dataset d on dalo.dataset_id = d.id\njoin dataset_region_legal_owner drlo on dalo.dataset_id = drlo.dataset_id\njoin aom a on dalo.aom_id = a.id\njoin region r on drlo.region_id = r.id ;\n```\n\nFonctionnellement, ce mécanisme de représentant légal est peu utilisé : on dirait qu’il sert surtout à la page de statistiques, pour savoir quelle est notre couverture territoriale.\n\n# Les AOM\n\n**Les AOM ont une géométrie propre**, et appartiennent à une région (champ `région_id`). Ils ont aussi une commune principale, et un département, mais qui sont stockés en propre sans faire référence à ces objets. Ils sont typés en fonction de leur forme juridique : syndicat mixte, communauté d’agglomération, comnunauté de communes, métropole… il y a un seul cas où un AOM a une couverture régionale, c’est pour Ile de France Mobilités.\n\nC’est une implémentation à améliorer :\n\n- En réalité, l’AOM appartient à des collectivités locales (ECPI, région…) : il faudrait peut-être indiquer quelle est la collectivité locale référente en plus de la région, et plutôt qu’avoir  une géométrie propre, l’AOM pourrait l’hériter de ces collectivités locales.\n- Normalement, la “Région” est une AOM comme une autre = cars interurbains avec couverture régionale.  IDFM est différent d’une AOM Région juste par le fait qu’elle organise à la fois les transports interurbains et urbains. Il faudrait éventuellement revoir le mécanisme de représentant légal avec deux tables séparées.\n\n# Les territoires / collectivités territoriales\n\nOn a ces territoires, chacun avec une table différente, qui ont une géométrie stockées sur le PAN :\n\n- Les régions\n- Les départements (qui appartiennent à une région)\n- Les communes (qui appartiennent à un département)\n\nLes EPCI ont également une table, mais celle-ci est rudimentaire (et non utilisée ?) : elle ne contient pas d’information géographique, les EPCI n’y sont pas typés (métropole, etc), c’est juste une liste de communes stockées dans un varchar (bizarre).\n\n# Place\n\nPlaces est un fourre-tout, les types :\n\n- communes\n- aom\n- regions\n- feature\n- mode.\n\nPas d’info géographique, c’est un catalogue de noms, qui sert pour la recherche.\n\n# Les ressources et les conversions GTFS → geojson\n\nLes resources en soit n’ont pas d’info géométrique directement en BDD, mais peuvent:\n\n- Soit être un fichier géographique ( geojson), et dans ce cas, on affiche une carte non pas sur la page de la resource, mais celle du jeu de données. (Question : il se passe quoi quand il y a plusieurs geojson sur le même dataset ?)\n- Soit être un type de fichier qui contient de l’information géographique : GTFS…\n- Soit être un fichier absolument pas géographique.\n\n**Dans le cas d’une ressources GTFS, il y a une conversion automatique vers du geojson qui est stocké sur le cloud, ce qui permet d’afficher la carte des lignes et des arrêts sur la page de détails de la resource.**\n\nLe fichier Geojson est généré à travers un job récurrent, puis stocké dans le cloud, et l’URL est enregistrée dans la table `data_conversion`, qui fait le lien entre une `resource_history` et cette URL. Il ne s’agit pas d’information géographique directement en base de données : on n’a que le lien vers le fichier sur la BDD, on ne peut donc pas se servir de cela pour des requêtes géographiques.\n\n# Les extracteurs de données géographiques\n\n**En revanche, on a des convertisseurs qui vont aller extraire de l’information géographique des resources pour les stocker dans la base de données, dans des tables avec des colonnes géométriques,** avec deux grands mécanismes :\n\n- L’extracteur d’arrêts GTFS, qui alimente la table `gtfs_stops`, affichée dans la carte des arrêts GTFS\n- Les extracteurs IRVE, BNLC et ZFE, qui vont alimenter la table `geo_data`, affichée sur la carte d’exploration.\n\nIl y a aussi une carte `GTFS_trips`, mais pour moi, c’est peu clair : chez moi elle est vide…\n\n## Les arrêts GTFS\n\nIl s’agit d’une table, avec :\n\n- Des colonnes séparées pour longitude et latitude : on ne stocke pas une géométrie, mais des floats\n- Des informatinos concernant l’arrêt\n- La référence à un data_import_id, qui fait lui-même référence à une resource_history, donc à une resource\n\nOn stocke également des clusters d’arrêts pour chaque niveau de zoom pour faciliter l’affichage de la carte, mais il ne font référence à rien : c’est juste des coordonnées avec un nombre d’arrêts sous-jacents, mais qui ne font pas référence à ceux-ci.\n\n## Les geodata : données géographiques IRVE, BNLC et ZFE\n\nOn a une table geodata, qui contient les points ou polygones des IRVE, BNLC et ZFE :\n\n- Pour le coup il y a une vraie colonne «géométrique», pour pouvoir stocker soit un point soit un polygone\n- UNe payload JSON qui renseigne sur le contenu du point\n- Ça appartient à la table geodata_import, qui ensuite est reliée aux resources.\n\n## Les infos temps réel (GTFS-RT)\n\nAucune idée de comment ça marche et où / comment c’est stocké et ça remonte.\n\n# Les mécanismes de recherche graphique\n\nÀ compléter.\n\n# L’accès aux données géographiques par API\n\nLes API géographiques documentées : [https://transport.data.gouv.fr/swaggerui](https://transport.data.gouv.fr/swaggerui)\n\n- Les AOM peuvent être recherchés par coordonnés géographiques, exemple GET`[https://transport.data.gouv.fr/api/aoms?lon=-0.5342&lat=44.7441](https://transport.data.gouv.fr/api/aoms?lon=-0.5342&lat=44.7441)` (Mais on n’a pas le geojson dans la réponse)\n- On peut avoir une liste du geojson de tous les AOM via `https://transport.data.gouv.fr/api/aoms/geojson`\n- On peut aussi avoir le geojson d’un dataset.\n\n**Il n’y a pas de recherche de dataset dans l’API, ni par nom, ni par localité (nom de commune, code INSEE), ni par localisation (boundbox, point, périmètre).**\n\n**Les cartes d’exploration s’appuient sur des API non documentées :**\n\n- Les geodata sont accessibles à travers l’endpoint `/geoquery`. Exemple : [https://transport.data.gouv.fr/api/geo-query?data=irve](https://transport.data.gouv.fr/api/geo-query?data=irve)\n- Les arrêts GTFS sont disponibles sous `/explore/gtfs-stops-data` (en mettant plein d’arguments spécifiques, sinon ça crashe)\n"
  },
  {
    "path": "docs/scaleway/README.md",
    "content": "# Scaleway bucket configurations\n\nWe use Scaleway for database backups replication.\n\nThis folder holds configuration for:\n- bucket policies (permissions)\n- bucket lifecycles (how long to keep uploaded files, when to delete temporary files)\n\n## Scaleway documentation links\n\n- [Using bucket policies](https://www.scaleway.com/en/docs/storage/object/api-cli/using-bucket-policies/)\n- [Managing the lifecycle of objects](https://www.scaleway.com/en/docs/storage/object/api-cli/lifecycle-rules-api/)\n\n[See the GitHub issue comment](https://github.com/etalab/transport-site/issues/1548#issuecomment-1083189225) explaining what has been implemented.\n\n## Seeing / applying configuration\n\nAt the moment **these configuration are NOT automatically applied** through CI or something else. You'll need to run CLI commands.\n\nGrab Scaleway credentials from our password manager solution first and [install the AWS CLI](https://www.scaleway.com/en/docs/storage/object/api-cli/object-storage-aws-cli/).\n\n### CLI commands related to lifecycles\n```\n# See the lifecycle configuration\naws --endpoint-url \"https://s3.fr-par.scw.cloud\" --region fr-par s3api get-bucket-lifecycle-configuration --bucket transport-staging-backups\naws --endpoint-url \"https://s3.fr-par.scw.cloud\" --region fr-par s3api get-bucket-lifecycle-configuration --bucket transport-prod-backups\n# Apply a lifecycle configuration to a bucket\naws --endpoint-url \"https://s3.fr-par.scw.cloud\" --region fr-par s3api put-bucket-lifecycle-configuration --lifecycle-configuration file:///Users/antoineaugusti/Documents/transport-site/docs/scaleway/bucket_lifecycle_configuration_production.json --bucket transport-prod-backups\n\n### CLI commands related to bucket policies\n```\n# See a bucket policy configuration\naws --endpoint-url \"https://s3.fr-par.scw.cloud\" --region fr-par s3api get-bucket-policy --bucket transport-prod-backups \n\n# Apply a bucket policy configuration to a bucket\naws --endpoint-url \"https://s3.fr-par.scw.cloud\" --region fr-par s3api put-bucket-policy --bucket transport-prod-backups --policy file://docs/scaleway/bucket_policy_production.json\n```\n"
  },
  {
    "path": "docs/scaleway/bucket_lifecycle_configuration_production.json",
    "content": "{\n   \"Rules\":[\n      {\n         \"ID\":\"delete-after-90-days\",\n         \"Status\":\"Enabled\",\n         \"Filter\":{\n            \"Prefix\":\"\"\n         },\n         \"Expiration\":{\n            \"Days\":90\n         }\n      },\n      {\n         \"ID\":\"Remove uncompleted uploads\",\n         \"Status\":\"Enabled\",\n         \"Filter\":{\n            \"Prefix\":\"\"\n         },\n         \"AbortIncompleteMultipartUpload\":{\n            \"DaysAfterInitiation\":1\n         }\n      }\n   ]\n}\n"
  },
  {
    "path": "docs/scaleway/bucket_lifecycle_configuration_staging.json",
    "content": "{\n   \"Rules\":[\n      {\n         \"ID\":\"delete-after-30-days\",\n         \"Status\":\"Enabled\",\n         \"Filter\":{\n            \"Prefix\":\"\"\n         },\n         \"Expiration\":{\n            \"Days\":30\n         }\n      },\n      {\n         \"ID\":\"Remove uncompleted uploads\",\n         \"Status\":\"Enabled\",\n         \"Filter\":{\n            \"Prefix\":\"\"\n         },\n         \"AbortIncompleteMultipartUpload\":{\n            \"DaysAfterInitiation\":1\n         }\n      }\n   ]\n}\n"
  },
  {
    "path": "docs/scaleway/bucket_policy_production.json",
    "content": "{\n   \"Version\":\"2012-10-17\",\n   \"Id\":\"default-project-allow-write\",\n   \"Statement\":[\n      {\n         \"Sid\":\"Delegate PutObject to another project we own\",\n         \"Effect\":\"Allow\",\n         \"Principal\":{\n            \"SCW\":\"project_id:48833e60-251c-452a-bd1d-9bfd28f6d84a\"\n         },\n         \"Action\":\"s3:PutObject\",\n         \"Resource\":[\n            \"transport-prod-backups/*\"\n         ]\n      },\n      {\n         \"Sid\":\"Get access to all objects\",\n         \"Effect\":\"Allow\",\n         \"Principal\":{\n            \"SCW\":\"project_id:37d278a7-e548-4029-a58d-111bdcf23d46\"\n         },\n         \"Action\":\"s3:GetObject\",\n         \"Resource\":[\n            \"transport-prod-backups/*\"\n         ]\n      },\n      {\n         \"Sid\":\"Objects cannot be deleted\",\n         \"Effect\":\"Deny\",\n         \"Principal\":\"*\",\n         \"Action\":\"s3:DeleteObject\",\n         \"Resource\":[\n            \"transport-prod-backups/*\"\n         ]\n      }\n   ]\n}\n"
  },
  {
    "path": "docs/scaleway/bucket_policy_staging.json",
    "content": "{\n   \"Version\":\"2012-10-17\",\n   \"Id\":\"default-project-allow-write\",\n   \"Statement\":[\n      {\n         \"Sid\":\"Delegate PutObject to another project we own\",\n         \"Effect\":\"Allow\",\n         \"Principal\":{\n            \"SCW\":\"project_id:48833e60-251c-452a-bd1d-9bfd28f6d84a\"\n         },\n         \"Action\":\"s3:PutObject\",\n         \"Resource\":[\n            \"transport-staging-backups/*\"\n         ]\n      },\n      {\n         \"Sid\":\"Get access to all objects\",\n         \"Effect\":\"Allow\",\n         \"Principal\":{\n            \"SCW\":\"project_id:37d278a7-e548-4029-a58d-111bdcf23d46\"\n         },\n         \"Action\":\"s3:GetObject\",\n         \"Resource\":[\n            \"transport-staging-backups/*\"\n         ]\n      },\n      {\n         \"Sid\":\"Objects cannot be deleted\",\n         \"Effect\":\"Deny\",\n         \"Principal\":\"*\",\n         \"Action\":\"s3:DeleteObject\",\n         \"Resource\":[\n            \"transport-staging-backups/*\"\n         ]\n      }\n   ]\n}\n"
  },
  {
    "path": "docs/upgrade_versions.md",
    "content": "## Gestion des versions et des images Docker\n\nLe setup standard de développement s’appuie sur ASDF pour la gestion des versions. Cependant, la CI/CD (CircleCI) et la production s’appuient sur Docker.\n\nUne première image Docker est mise à disposition par le dépôt tranport-ops : elle récupère une image Docker standard sur le hub Docker avec déjà la bonne version de Elixir et Erlang, rajoute Node et les outils annexes (transport-tools), et est publiée sur le dépôt d’images Docker de Github.\n\nL’application transport-site récupère l’image Docker de transport-ops, et y rajoute uniquement son propre code, le compile, lance le serveur, les migrations, et expose le serveur à l’extérieur.\n\nCircleCI pour les tests va donc faire ces étapes là de compilation du code Elixir, mais sans devoir reconstruire toute l’image (puisque s’appuyant sur l’image de transport-ops). Quand on pousse sur les serveurs de Clever Cloud, un premier serveur va créer l’image Docker finale (mêmes étapes que sur CircleCI, donc un temps de compilation existe) puis déployer l’image résultante sur un autre serveur. Potentiellement, on pourrait réduire à l’avenir le temps de déploiement en fournissant directement l’image Docker avec l’application précompilée, et que la même image serve pour les tests et pour la production.\n\n## Processus de mise à jour\n\nLes versions de ASDF et de Docker doivent être mises à jour dans la même branche de transport-site (sinon des tests ratent). Il faut donc en préalable du merge de la branche qu’une image Docker avec les bonnes versions de Elixir, Erlang/OTP et Node et les outils transport existe, donc qu’une branche correspondante sur transport-ops ait été mergée et un package crée. \n\nDans les grandes lignes : on teste d’abord avec ASDF que tout va bien, puis on fait le nécessaire sur le repo transport-ops pour créer un package, et on finalise la branche sur transport-site avec la référence de l’image.\n\n1. Créer une branche\n2. Mettre à jour `.tool_versions`. Le fichier contient un peu de documentation sur les commandes ASDF, et où trouver les versions disponibles, la compatibilité Elixir/Erlang et les notes de versions.\n3. Vérifier que :\n    1. Ça compile\n    2. Les tests passent (il y aura forcément une erreur liée à la différence de version avec Docker)\n    3. Credo et Dialyxir n’aient pas de warning.\n4. Noter tous les warnings, qui serviront soit dans une issue pour un traitement postérieur, soit seront mis dans la pull request. Exemple : https://github.com/etalab/transport-site/issues/3307\n5. Créer un package Docker correspondant dans le dépôt https://github.com/etalab/transport-ops On peut pousser sur une branche pour faire tourner la CI Github Workflow, pas besoin d’avoir Docker en local. Lire le README de transport-ops pour le détail.\n6. Modifier transport-site avec la bonne image Docker. Il n’est pas nécessaire de tester en local transport-site avec l’image Docker : les tests sufiront + prochainement. Il n’y a pas de grosse diff entre passage asdf et docker.\n7. Créer une pull request en draft pour faire tourner Circle CI.\n8. Tester le plus possible : en local et sur le serveur de staging (`git push origin ma_branche:prochainement`)\n"
  },
  {
    "path": "generate_deps_changelogs.exs",
    "content": "# Run with:\n# elixir generate_deps_changelogs.exs\n#\n# This is a quick script to generate changelogs on screen, comparing `mix.lock` and `yarn.lock`\n# on current branch vs `master`. It makes it easier to review changes provided by a given PR.\n# Yes, dependabot exists, but does not support grouped updates\n# (https://github.com/dependabot/dependabot-core/issues/1190) and does not work well on an existing PR.\n#\n# Already used in the past, and if useful on the long run, we'll create a GitHub action workflow to run\n# and automatically edit the PR description with this.\n#\n\nMix.install([:jason, :req])\n\ndefmodule Scanner do\n  def scan(mix_lock_content) do\n    {{lock_deps, []}, _diagnostics} =\n      Code.with_diagnostics(fn -> Code.eval_string(mix_lock_content) end)\n\n    lock_deps\n    |> Enum.map(fn {entry, data} ->\n      case data do\n        {:hex, entry, version, _sha, _tool, _deps, \"hexpm\", _other_sha} ->\n          {entry, {:hex, version}}\n\n        {:git, repo, git_sha, _spec} ->\n          {entry, {:git, repo, git_sha}}\n      end\n    end)\n    |> Enum.sort()\n  end\nend\n\n{master_mix_lock, 0} = System.cmd(\"git\", [\"show\", \"master:mix.lock\"])\nmaster = Scanner.scan(master_mix_lock)\ncurrent = Scanner.scan(File.read!(\"./mix.lock\"))\n\nIO.puts \"(initially generated with `elixir generate_deps_changelogs.exs`)\\n\"\nIO.puts \"### Elixir dependencies\\n\"\n\nmaster\n|> Enum.each(fn {dep, old} ->\n  new = Keyword.get(current, dep)\n\n  case {old, new} do\n      {{:hex, v1}, {:hex, v2}} ->\n        if v1 != v2 do\n          IO.puts(\"* https://diff.hex.pm/diff/#{dep}/#{v1}..#{v2}\")\n        end\n\n      {{:git, repo, sha1}, {:git, repo_next, sha2}} ->\n        if sha1 != sha2 do\n          if repo == repo_next do\n            compare = repo |> String.replace(\".git\", \"/compare/#{sha1}..#{sha2}\")\n            IO.puts(\"* #{compare}\")\n          else\n            repo = repo |> String.replace(\".git\", \"\")\n            repo_next = repo_next |> String.replace(\".git\", \"\")\n            IO.puts \"* From #{repo}/commit/#{sha1} to #{repo_next}/commit/#{sha2}\"\n          end\n        end\n      {{:hex, _v1}, {:git, repo, sha2}} ->\n        IO.puts(\"* Now using git-version #{repo} @ #{sha2}\")\n      {{:git, repo, sha1}, {:hex, _v2}} ->\n        IO.puts(\"* Now using https://hex.pm/packages/#{dep} instead of #{repo} @ #{sha1}\")\n      {{:hex, v1}, nil} ->\n        IO.puts(\"* REMOVED: #{dep}@#{v1}\")\n    end\nend)\n\ndefmodule YarnScanner do\n  @path \"apps/transport/client\"\n\n  def at(:local),\n    do: parse(File.read!(\"#{@path}/yarn.lock\"), File.read!(\"#{@path}/package.json\"))\n\n  def at(ref) do\n    {pj, 0} = System.cmd(\"git\", [\"show\", \"#{ref}:#{@path}/package.json\"])\n    {yl, 0} = System.cmd(\"git\", [\"show\", \"#{ref}:#{@path}/yarn.lock\"])\n    parse(yl, pj)\n  end\n\n  def diff_url(name, v1, v2) do\n    with {:ok, %{status: 200, body: body}} <- Req.get(\"https://registry.npmjs.org/#{name}\"),\n         url <- get_in(body, [\"repository\", \"url\"]) || \"\",\n         [_, owner, repo] <- Regex.run(~r{github\\.com[/:]([^/]+)/([^/.]+)}, url) do\n      \"https://github.com/#{owner}/#{repo}/compare/v#{v1}...v#{v2}\"\n    else\n      _ -> \"https://www.npmjs.com/package/#{name}?activeTab=versions\"\n    end\n  end\n\n  defp parse(lock, json) do\n    direct =\n      json\n      |> Jason.decode!()\n      |> Map.take(~w(dependencies devDependencies resolutions))\n      |> Map.values()\n      |> Enum.flat_map(&Map.keys/1)\n      |> MapSet.new()\n\n    lock\n    |> String.split(\"\\n\\n\")\n    |> Enum.reduce(%{}, fn block, acc ->\n      with [_, name] <- Regex.run(~r/^\"?((?:@[^\\/\"]+\\/)?[^@\"\\s]+)@/m, block),\n           true <- MapSet.member?(direct, name),\n           [_, ver] <- Regex.run(~r/version \"([^\"]+)\"/, block) do\n        Map.put(acc, name, ver)\n      else\n        _ -> acc\n      end\n    end)\n  end\nend\n\nIO.puts \"\\n### JS dependencies (top-level only)\"\nIO.puts \"(may include duplicates, since we bundle multiple versions at times)\\n\"\nyarn_master = YarnScanner.at(\"master\")\nyarn_current = YarnScanner.at(:local)\n\n(Map.keys(yarn_master) ++ Map.keys(yarn_current))\n|> Enum.uniq()\n|> Enum.sort()\n|> Enum.each(fn name ->\n  case {yarn_master[name], yarn_current[name]} do\n    {v1, v2} when not is_nil(v1) and not is_nil(v2) and v1 != v2 ->\n      IO.puts \"* #{YarnScanner.diff_url(name, v1, v2)}\"\n    {nil, v2} when not is_nil(v2) -> IO.puts \"* ADDED: #{name}@#{v2}\"\n    {v1, nil} when not is_nil(v1) -> IO.puts \"* REMOVED: #{name}@#{v1}\"\n    _ -> :ok\n  end\nend)\n"
  },
  {
    "path": "glossary.md",
    "content": "Please feel free to add anything you didn't understand at some point here:\n\n* GBFS: [General Bikeshare Feed Specification](https://github.com/NABSA/gbfs)\n* GTFS: [General Transit Feed Specification](http://gtfs.org)\n* GTFS-RT: The [realtime counterpart of GTFS](https://gtfs.org/reference/realtime/v2/)\n* NeTEx: [Network Exchange specification](http://netex-cen.eu) ([French resource](http://www.normes-donnees-tc.org/format-dechange/donnees-theoriques/netex/))\n* (Data) Schema: a way to [describe data structures](https://schema.data.gouv.fr)\n* SIRI: [Service Interface for Real time Information](http://www.transmodel-cen.eu/standards/siri/) ([French resource](http://www.normes-donnees-tc.org/format-dechange/donnees-temps-reel/))\n* udata: in this codebase, refers to the [udata platform](https://github.com/opendatateam/udata/) running [data.gouv.fr](https://www.data.gouv.fr/fr/)\n"
  },
  {
    "path": "learning_track.md",
    "content": "This guide tracks useful steps to learn how to maintain and modify this system.\n\n### Discover the PAN public website\n\n* Go to https://transport.data.gouv.fr and explore the various public pages (home, search, details)\n* Read the [user documentation](https://doc.transport.data.gouv.fr) to understand the purpose and overall process\n\n### Discover the PAN admin dashboard\n\n* Ask the team to get access to the admin dashboard\n* Expect a bit of delay / cache refresh period\n* Get into the dashboard and go around (via the \"Administration\" top link)\n\n### Run the PAN site locally (simple version)\n\n* Install the required tooling (Elixir/Erlang/Node/Postgres) - see readme\n* Restore a production database - see readme\n* Do not attempt to install the \"validator\" yet, nor to access the admin backoffice\n\n### Run the test suite locally\n\n* Make sure to run ChromeDriver in a way or another\n* Run the test suite with `mix test`\n* Learn how to run a single test (see readme), as this is very useful for debugging\n* :warning: All the tests should pass locally! If they don't, file an issue\n\n### Different techniques to debug stuff\n\n(More will come here later, especially with Elixir 1.15+)\n\n* `IO.puts(x)`\n* `IO.inspect(x, IEx.inspect_opts)`\n* `dbg` + `iex -S mix phx.server`\n* `find apps/transport | entr -c mix run my_script.exs`\n* `@tag :focus` and `find debug.exs apps/transport/{lib,test} | entr -c mix cmd --app transport mix test --color --only focus`\n* `mix test apps/transport/test/transport/import_data_test.exs --only focus`\n* `doctest ImportData, import: true, tags: [:focus]`\n* `elixir --sname node -S mix phx.server` and `iex --sname console --remsh node` (https://github.com/etalab/transport-site/pull/2960/files) to connect to a running node and make evaluations (useful to inspect ETS state for instance)\n* LiveBook in non-standalone mode (create a notebook then switch from standalone to connected in the settings)\n\n### Understand the \"stats\" page\n\n* Check out the [/stats](https://transport.data.gouv.fr/stats) page, entry point for bizdev questions on data quality\n* Look at `_maps.html.eex` and `map.js`\n* Search the code responsible for `quality_features_query`\n\n### Run a manual GTFS validation (on the server)\n\n* Go to https://transport.data.gouv.fr\n* Click on \"Analyser la qualité d'un fichier GTFS\"\n* Find a small GTFS file\n* Check the result\n\n### Discover the HTTP routes served by the application\n\n* Run `mix phx.routes TransportWeb.Router` locally\n  * Examine the listed routes\n  * Check-out `apps/transport/lib/transport_web/router.ex` where they are defined\n* Check-out `apps/transport/lib/transport_web/plugs/router.ex` (`/api` & the rest)\n  * This top-level router is referred to in `apps/transport/lib/transport_web/endpoint.ex`\n* Run `mix phx.routes TransportWeb.API.Router` (this will list all the `/api` sub-routes)\n* **In short**: the \"endpoint\" includes a main router, which in turn includes 3 sub-routers\n\n### Read the logs from the production database\n\n* The site is deployed on [Clever Cloud](https://www.clever-cloud.com/)\n* Install [`clever-tools`](https://github.com/CleverCloud/clever-tools)\n* `clever login`\n* `clever --help`\n* Go to your local `transport-site` git clone\n* `clever link $$REPLACE_BY_APP_ID$$` (pick `app_id` in the Clever Cloud dashboard for `transport-site`)\n* `clever status`\n* `clever logs --help`\n* `clever logs` to stream the current logs\n* `clever logs --addon $$REPLACE_BY_PG_ADDON_ID$$` (pick addon_id at top-right of CC dashboard for `transport-site-postgresql` \"Information\" tab)\n\n### Learn how to deploy the Elixir app on staging (aka \"prochainement\")\n\n* Use a force push of your branch, e.g. `git push <remote> <branche>:prochainement -f` (so if your branch is `some-feature`, this will usually be: `git push origin some-feature:prochainement -f`)\n* This will trigger a redeploy. Redeploy process can be monitored from the [Clever Cloud dashboard](https://www.clever-cloud.com) and takes roughly 5 to 10 minutes.\n* If you see errors in the CC app logs due to Ecto migrations (due to divergence of branches), you'll want to reset the staging database (see below)\n\n### Learn how to reset the staging (aka \"prochainement\") database\n\n* Go to the Clever Cloud dashboard for the production Postgres database and download it locally\n* Read the [restore_db.sh](https://github.com/etalab/transport-site/blob/master/restore_db.sh) script\n* Go to the Clever Cloud dashboard for the **staging** Postgres database, and run `restore_db.sh` with proper parameters\n\n### Learn how to connect via SSH\n\n* Make sure to link the correct app (production or staging) with `clever link $$REPLACE_BY_APP_ID$$` (as displayed in the staging/production app CC dashboards)\n* Verify the linking status with `clever applications`\n* Log with the app alias: `clever ssh --alias transport-prochainement`\n\n### Learn how to upgrade the javascript assets\n\n* `cd apps/transport/client`\n* `yarn outdated` shows the outdated packages (see [here](https://github.com/etalab/transport-site/pull/4287) for a sample)\n* Use `yarn upgrade abc [def]` ([doc](https://classic.yarnpkg.com/lang/en/docs/cli/upgrade/)) to upgrade one or more packages\n* Look into [package.json](https://github.com/etalab/transport-site/blob/master/apps/transport/client/package.json) to see how to specify versions\n* Most javascript-enabled features are not tested specifically - use `prochainement` or a local rendering to verify if nothing is broken\n\n### Learn about the GTFS and GTFS-RT specifications\n\n* @thbar bought https://gumroad.com/l/gtfsbundle (available to the team on demand)\n* Download a tiny GTFS ([example](https://transport.data.gouv.fr/datasets/horaires-theoriques-et-temps-reel-des-navettes-de-la-station-de-tignes-gtfs-gtfs-rt/))\n* Check out this [diagram](https://www.researchgate.net/figure/Modele-de-donnees-GTFS_fig7_268333353)\n* Read the GTFS guide\n* Read the GTFS-realtime guide\n\n### Explore the GTFS validator locally\n\n* Clone the [transport-validator](https://github.com/etalab/transport-validator) project locally\n* Install Rust\n* Install [Rust Analyzer](https://github.com/rust-analyzer/rust-analyzer) for VSCode completion\n* Run all the tests with `cargo run test`\n\n### Run the GTFS validator via the Elixir app locally\n\n* Compile the validator project with `cargo build --release`\n* Run it as a server with `./target/release/main`\n* Override in dev.secret.exs the `gtfs_validator_url` defined in dev.exs with the displayed host & port (e.g. `http://127.0.0.1:7878`)\n* Run the site with `mix phx.server`\n* Go to `http://localhost:5000/validate`\n* Upload a GTFS file\n* Verify that it goes through the Elixir apps logs, then the validator logs\n\n### Debug the GTFS validator locally\n\n* Make sure to have [Rust Analyzer](https://github.com/rust-analyzer/rust-analyzer) installed\n* If you use [VSCode](https://code.visualstudio.com), install the [CodeLLDB extension](https://marketplace.visualstudio.com/items?itemName=vadimcn.vscode-lldb) to help with debugging\n* Run \"Debug unit tests in library 'validator'\"\n* Add a breakpoint and verify that it is effective\n* Read [this article](https://khalid-salad.medium.com/plp-rust-agjks-395d1d870432) for more information\n\n### Run the realtime API locally\n\n* Clone the [transpo-rt](https://github.com/etalab/transpo-rt) project locally\n* TODO\n\n### Install the GTFS to NETEX converter locally\n\n* Clone https://github.com/CanalTP/transit_model/tree/master/gtfs2netexfr\n* Compile it and launch the tests\n* Download one GTFS and convert it locally\n\n### Run MinIO for a local S3 bucket\n\nCopy the miniorc template: `cp .miniorc.template .miniorc` and follow steps in this file.\n\n### IDEAS for the next steps\n\n* Understanding the code behind https://github.com/etalab/transport-site/pull/1373\n* Overall architecture (diagram by Francis)\n* Structure of the Umbrella app (apps)\n* Measuring code coverage\n* Discovering the database structure\n* Clever Cloud deployment and operations (Sentry, UptimeRobot)\n* Running import jobs (locally)\n* Diving into import jobs (locally)\n* What is GBFS (workshop, slides)\n* How to upgrade Elixir, Erlang and Node\n* How to launch linters etc (like CI does)\n"
  },
  {
    "path": "livebook/irve-total.livemd",
    "content": "# Analyse évolutions IRVE\n\n```elixir\nMix.install([\n  {:ecto_sql, \"~> 3.10\"},\n  {:postgrex, \">= 0.0.0\"},\n  {:kino_db, \"~> 0.2.3\"},\n  {:jason, \"~> 1.4\"},\n  {:req, \"~> 0.4.0\"},\n  {:nimble_csv, \"~> 1.2\"},\n  {:kino_vega_lite, \"~> 0.1.10\"}\n])\n```\n\n## Section\n\n<!-- livebook:{\"attrs\":{\"database\":\"transport_repo\",\"hostname\":\"localhost\",\"password_secret\":\"\",\"port\":5432,\"type\":\"postgres\",\"use_ipv6\":false,\"use_ssl\":false,\"username\":\"postgres\",\"variable\":\"conn\"},\"chunks\":null,\"kind\":\"Elixir.KinoDB.ConnectionCell\",\"livebook_object\":\"smart_cell\"} -->\n\n```elixir\nopts = [\n  hostname: \"localhost\",\n  port: 5432,\n  username: \"postgres\",\n  password: \"\",\n  database: \"transport_repo\"\n]\n\n{:ok, conn} = Kino.start_child({Postgrex, opts})\n```\n\n<!-- livebook:{\"attrs\":{\"cache_query\":true,\"connection\":{\"type\":\"postgres\",\"variable\":\"conn\"},\"data_frame_alias\":\"Elixir.Explorer.DataFrame\",\"query\":\"select id, payload ->> 'permanent_url' as url, inserted_at \\nfrom resource_history rh\\nwhere rh.resource_id = 81623\\norder by inserted_at asc\",\"result_variable\":\"result\",\"timeout\":null},\"chunks\":null,\"kind\":\"Elixir.KinoDB.SQLCell\",\"livebook_object\":\"smart_cell\"} -->\n\n```elixir\nresult =\n  Postgrex.query!(\n    conn,\n    \"\"\"\n    select id, payload ->> 'permanent_url' as url, inserted_at \n    from resource_history rh\n    where rh.resource_id = 81623\n    order by inserted_at asc\n    \"\"\",\n    []\n  )\n```\n\n```elixir\ncolumns = [\"id\", \"url\", \"inserted_at\"]\n%{columns: columns, rows: rows} = result\n\nsnapshots =\n  rows\n  |> Enum.map(fn x ->\n    columns\n    |> Enum.zip(x)\n    |> Map.new()\n  end)\n```\n\n```elixir\npath = Path.join(__ENV__.file, \"../../apps/shared/lib/req_custom_cache.ex\") |> Path.expand()\nCode.require_file(path)\n\ndefmodule Query do\n  def cache_dir, do: Path.join(__ENV__.file, \"../cache-dir\") |> Path.expand()\n\n  def cached_get!(url) do\n    req = Req.new() |> Transport.Shared.ReqCustomCache.attach()\n    Req.get!(req, url: url, receive_timeout: 100_000, custom_cache_dir: cache_dir())\n  end\nend\n\n:ok\n```\n\n```elixir\ntask = fn row = %{\"url\" => url} ->\n  IO.puts(\"getting #{url}\")\n  %{status: 200, body: body} = Query.cached_get!(url)\n  # NOTE: headers appear as one line at this stage\n  Map.put(row, \"row_count\", (body |> length()) - 1)\nend\n\ndata =\n  snapshots\n  |> Task.async_stream(\n    task,\n    max_concurrency: 25,\n    on_timeout: :kill_task,\n    timeout: 50_000\n  )\n  |> Stream.map(fn {:ok, result} -> result end)\n  |> Stream.map(fn x -> Map.take(x, [\"inserted_at\", \"row_count\"]) end)\n  |> Enum.into([])\n```\n\n```elixir\ndata\n|> Kino.DataTable.new()\n```\n\n<!-- livebook:{\"attrs\":{\"chart_title\":null,\"height\":null,\"layers\":[{\"active\":true,\"chart_type\":\"bar\",\"color_field\":\"row_count\",\"color_field_aggregate\":null,\"color_field_bin\":null,\"color_field_scale_scheme\":null,\"color_field_type\":\"quantitative\",\"data_variable\":\"data\",\"geodata_color\":\"blue\",\"latitude_field\":null,\"longitude_field\":null,\"x_field\":\"inserted_at\",\"x_field_aggregate\":null,\"x_field_bin\":null,\"x_field_scale_type\":null,\"x_field_type\":\"temporal\",\"y_field\":\"row_count\",\"y_field_aggregate\":null,\"y_field_bin\":null,\"y_field_scale_type\":null,\"y_field_type\":\"quantitative\"}],\"vl_alias\":\"Elixir.VegaLite\",\"width\":800},\"chunks\":null,\"kind\":\"Elixir.KinoVegaLite.ChartCell\",\"livebook_object\":\"smart_cell\"} -->\n\n```elixir\nVegaLite.new(width: 800)\n|> VegaLite.data_from_values(data, only: [\"inserted_at\", \"row_count\"])\n|> VegaLite.mark(:bar)\n|> VegaLite.encode_field(:x, \"inserted_at\", type: :temporal)\n|> VegaLite.encode_field(:y, \"row_count\", type: :quantitative)\n|> VegaLite.encode_field(:color, \"row_count\", type: :quantitative)\n```\n"
  },
  {
    "path": "livebook/irve-watts-detection.livemd",
    "content": "# Analyse puissance_nominale (IRVE)\n\n```elixir\nMix.install([\n  {:req, \"~> 0.4.0\"},\n  {:nimble_csv, \"~> 1.2\"},\n  {:explorer, \"~> 0.7.0\"},\n  {:kino, \"~> 0.11.0\"},\n  {:kino_vega_lite, \"~> 0.1.9\"},\n  {:kino_explorer, \"~> 0.1.10\"}\n])\n```\n\n## Coup d'oeil de plus près au fichier consolidé\n\nOn sait qu'il y a des puissances rapportées en watts et d'autres en kilowatts, or le schéma impose une utilisation du kilowatt. Dans ce notebook j'analyse de plus près les données pour voir combien de points de charge sont encore concernés (détermination du %), et voir quels sont les jeux concernés pour remonter l'info au producteur.\n\n```elixir\n# source: https://transport.data.gouv.fr/datasets/fichier-consolide-des-bornes-de-recharge-pour-vehicules-electriques\nurl = \"https://www.data.gouv.fr/fr/datasets/r/8d9398ae-3037-48b2-be19-412c24561fbb\"\n%{status: 200, body: body} = Req.get!(url, decode_body: false)\ndf = Explorer.DataFrame.load_csv!(body, header: true, infer_schema_length: 200_000)\n\ndf[:puissance_nominale]\n|> Explorer.Series.frequencies()\n```\n\n```elixir\nrequire Explorer.DataFrame\ndf_2 = Explorer.DataFrame.mutate(df, suspect: puissance_nominale > 500)\n\ndf_2[:suspect]\n|> Explorer.Series.frequencies()\n```\n\n```elixir\nVegaLite.new(width: 500)\n|> VegaLite.data_from_values(df_2, only: [\"suspect\"])\n|> VegaLite.mark(:arc, tooltip: true)\n|> VegaLite.encode_field(:theta, \"suspect\",\n  aggregate: :count,\n  type: :quantitative,\n  stack: :normalize\n)\n|> VegaLite.encode_field(:color, \"suspect\", type: :nominal)\n```\n\nMaintenant qu'on voit le volume des problèmes, on peut aller identifier les ressources concernées:\n\n```elixir\ndf_3 = df_2 |> Explorer.DataFrame.filter(suspect == true)\n```\n\n```elixir\ndf_3\n|> Explorer.DataFrame.group_by([:nom_amenageur, :datagouv_dataset_id])\n|> Explorer.DataFrame.summarise_with(\n  &[pdc_count: Explorer.Series.count(&1[:datagouv_dataset_id])]\n)\n```\n"
  },
  {
    "path": "mix.exs",
    "content": "defmodule Transport.MixProject do\n  use Mix.Project\n\n  def project do\n    [\n      apps_path: \"apps\",\n      start_permanent: Mix.env() == :prod,\n      deps: deps(),\n      aliases: aliases(Mix.env()),\n      test_coverage: [tool: ExCoveralls],\n      dialyzer: [\n        plt_add_deps: :app_tree,\n        plt_add_apps: [:mix],\n        plt_local_path: \"dialyzer-plt\",\n        plt_core_path: \"dialyzer-plt\"\n      ],\n      listeners: [Phoenix.CodeReloader]\n    ]\n  end\n\n  defp deps do\n    [\n      # locally, you can use :dialyxir in :dev mode, and we also add\n      # :test to ensure CI can run it with a single compilation (in test target),\n      # to reduce build time\n      {:dialyxir, \"~> 1.2\", only: [:dev, :test], runtime: false},\n      {:excoveralls, \"~> 0.10\", only: :test},\n      {:saxy, \"~> 1.5\"},\n      {:appsignal, \"~> 2.0\"},\n      {:appsignal_phoenix, \"~> 2.0\"},\n      {:ecto_erd, \"~> 0.6.0\", only: [:dev]}\n    ]\n  end\n\n  defp aliases do\n    [\n      test: [\"ecto.create --quiet\", \"ecto.migrate\", \"test\"],\n      \"phx.migrate_phx.server\": [\"ecto.migrate\", \"phx.server\"],\n      check_all: [\n        \"format --check-formatted\",\n        ~s(npm \"run linter:sass\"),\n        # from https://hexdocs.pm/mix/1.12/Mix.Task.html#run/2\n        # Remember: by default, tasks will only run once, even when called repeatedly!\n        # If you need to run a task multiple times, you need to re-enable it via reenable/1 or call it using rerun/2.\"\n        # => here, npm task need to be run twice\n        fn _ -> Mix.Task.reenable(\"npm\") end,\n        ~s(npm \"run linter:ecma\"),\n        \"credo --strict\",\n        \"gettext.extract --check-up-to-date\",\n        \"test\"\n      ]\n    ]\n  end\n\n  def cli do\n    [preferred_envs: [check_all: :test]]\n  end\n\n  defp aliases(:dev) do\n    aliases() ++\n      [\n        \"ecto.migrate\": [\"ecto.migrate\", \"ecto.dump\"],\n        run: [&set_worker_env/1, \"run\"]\n      ]\n  end\n\n  defp aliases(_env) do\n    aliases()\n  end\n\n  defp set_worker_env(_) do\n    # Boot only in webserver mode when running `mix run`\n    # See `config/runtime.exs`\n    System.put_env(\"WORKER\", \"0\")\n  end\nend\n"
  },
  {
    "path": "ops_tests/ops_tests.exs",
    "content": "# run with `elixir ops_tests/ops_tests.exs`\n# this is a starting point to implement infrastructure & DNS testing\nExUnit.start()\n\nMix.install([\n  {:req, \"~> 0.5.16\"},\n  {:dns, \"~> 2.4.0\"}\n])\n\ndefmodule Transport.OpsTests do\n  use ExUnit.Case, async: true\n\n  @domain_name \"transport.data.gouv.fr\"\n  # See https://developers.clever-cloud.com/doc/administrate/domain-names/#your-application-runs-in-the-europeparis-par-zone\n  @clever_cloud_par_region_domain ~c\"domain.par.clever-cloud.com\"\n  @clever_cloud_ip_addresses [\n    {91, 208, 207, 214},\n    {91, 208, 207, 215},\n    {91, 208, 207, 216},\n    {91, 208, 207, 217},\n    {91, 208, 207, 218},\n    {91, 208, 207, 220},\n    {91, 208, 207, 221},\n    {91, 208, 207, 222},\n    {91, 208, 207, 223}\n  ]\n\n  test \"correct DOMAIN_NAME for prod-worker\" do\n    assert_redirect(\n      from: \"http://workers.transport.data.gouv.fr\",\n      to: \"https://workers.transport.data.gouv.fr/\"\n    )\n  end\n\n  test \"correct DOMAIN_NAME for staging-worker\" do\n    assert_redirect(\n      from: \"http://workers.prochainement.transport.data.gouv.fr\",\n      to: \"https://workers.prochainement.transport.data.gouv.fr/\"\n    )\n  end\n\n  test \"redirects from www to non-www\" do\n    assert_redirect(from: \"https://www.#{@domain_name}\", to: \"https://#{@domain_name}/\")\n  end\n\n  test \"redirects HTTP to HTTPS\" do\n    assert_redirect(from: \"http://#{@domain_name}\", to: \"https://#{@domain_name}/\")\n  end\n\n  describe \"Check DNS records\" do\n    test \"IP addresses for load balancers match the PAR zone CNAME record\" do\n      {:ok, ips} = DNS.resolve(@clever_cloud_par_region_domain, :a)\n      assert MapSet.new(ips) == MapSet.new(@clever_cloud_ip_addresses)\n    end\n\n    test \"main A/CNAME records\" do\n      {:ok, ips} = DNS.resolve(@domain_name, :a)\n      assert MapSet.new(ips) == MapSet.new(@clever_cloud_ip_addresses)\n\n      # CNAMEs to Clever Cloud\n      [\n        \"prochainement\",\n        \"proxy\",\n        \"proxy.prochainement\",\n        \"validation\",\n        \"workers\",\n        \"workers.prochainement\",\n        \"www\"\n      ]\n      |> Enum.each(fn subdomain ->\n        record = \"#{subdomain}.#{@domain_name}\"\n        assert {:ok, [@clever_cloud_par_region_domain]} == DNS.resolve(record, :cname), \"Wrong DNS record for #{record}\"\n      end)\n\n      # Satellite websites\n      assert {:ok, [~c\"transport-blog.netlify.app\"]} == DNS.resolve(\"blog.#{@domain_name}\", :cname)\n      assert {:ok, [~c\"hosting.gitbook.com\"]} == DNS.resolve(\"doc.#{@domain_name}\", :cname)\n      assert {:ok, [~c\"page.updown.io\"]} == DNS.resolve(\"status.#{@domain_name}\", :cname)\n      assert {:ok, [[~c\"updown-page=p/m5pzb\"]]} = DNS.resolve(\"_updown.status.#{@domain_name}\", :txt)\n    end\n\n    test \"MX records\" do\n      {:ok, records} = DNS.resolve(@domain_name, :mx)\n      assert MapSet.new([{10, ~c\"mx1.alwaysdata.com\"}, {20, ~c\"mx2.alwaysdata.com\"}]) == MapSet.new(records)\n      assert {:ok, [{100, ~c\"mx.sendgrid.net\"}]} = DNS.resolve(\"front-mail.#{@domain_name}\", :mx)\n    end\n\n    test \"SPF, DKIM and DMARC\" do\n      # SPF\n      {:ok, records} = DNS.resolve(@domain_name, :txt)\n\n      assert Enum.member?(records, [\n               ~c\"v=spf1 include:spf.mailjet.com include:_spf.alwaysdata.com include:_spf.scw-tem.cloud include:servers.mcsv.net include:sendgrid.net -all\"\n             ])\n\n      assert {:ok, [[~c\"v=spf1 include:sendgrid.net ~all\"]]} = DNS.resolve(\"front-mail.#{@domain_name}\", :txt)\n\n      # DKIM\n      assert {:ok, _} = DNS.resolve(\"37d278a7-e548-4029-a58d-111bdcf23d46._domainkey.#{@domain_name}\", :txt)\n      assert {:ok, _} = DNS.resolve(\"default._domainkey.#{@domain_name}\", :txt)\n      assert {:ok, _} = DNS.resolve(\"fnt._domainkey.#{@domain_name}\", :txt)\n      assert {:ok, _} = DNS.resolve(\"mailjet._domainkey.#{@domain_name}\", :txt)\n      assert {:ok, [~c\"dkim2.mcsv.net\"]} == DNS.resolve(\"k2._domainkey.#{@domain_name}\", :cname)\n      assert {:ok, [~c\"dkim3.mcsv.net\"]} == DNS.resolve(\"k3._domainkey.#{@domain_name}\", :cname)\n\n      # DMARC\n      assert {:ok, [[~c\"v=DMARC1;p=quarantine;\"]]} == DNS.resolve(\"_dmarc.#{@domain_name}\", :txt)\n    end\n  end\n\n  def get_header!(headers, header) do\n    {_header, [value]} = Enum.find(headers, fn {k, _} -> k == header end)\n    value\n  end\n\n  def assert_redirect(from: url, to: target_url) do\n    %Req.Response{status: 301, headers: headers} = Req.get!(url, redirect: false)\n    assert get_header!(headers, \"location\") == target_url\n  end\nend\n"
  },
  {
    "path": "restore_db.sh",
    "content": "#!/usr/bin/env bash\n# NOTE: set -e cannot be used at the moment because of pg_restore will actually generate\n# errors/warnings, which stops the script. A better way to handle errors must be found.\n\n# Usage ./restore_db.sh <db_name> <host> <user_name> <password> <absolute_path_to_backup>\n# or the ./restore_db.sh <absolute_path_to_backup> if the default options are ok for you\n# the latest production backup can be fetched on \"transport-site-postgresql\" in Clever Cloud\n#\n# With the flag `--skip-extensions`, you can also skip extensions restoration as those might require administrative\n# rights your pg user doesn't have. Example:\n# ./restore_db.sh --skip-extensions <path_to_backup>\n#\n# With the flag `--preserve-contacts`, contacts and related tables won't be\n# truncated. It is risky. Example:\n# ./restore_db.sh --preserve-contacts <path_to_backup>\n#\n# With the flag `--preserve-user-feedback`, user_feedback table won't be\n# truncated. It is risky. Example:\n# ./restore_db.sh --preserve-contacts <path_to_backup>\n#\n# With the flag `--preserve-oban-jobs`, Oban jobs won't be truncated. It is\n# risky. Example:\n# ./restore_db.sh --preserve-oban-jobs <path_to_backup>\n#\n# The flags must be the first args.\n\nshould_skip_extensions=false\nshould_preserve_contacts=false\nshould_preserve_user_feedback=false\nshould_preserve_oban_jobs=false\n\nfunction usage() {\n  echo \"Usage:\"\n  echo \" $0 (-h|--help)\"\n  echo \" $0 [--skip-extensions] [--preserve-contacts] [--preserve-user-feedback] [--preserve-oban-jobs] (--) <absolute_path_to_backup>\"\n  echo \" $0 [--skip-extensions] [--preserve-contacts] [--preserve-user-feedback] [--preserve-oban-jobs] (--) <db_name> <host> <user_name> <password> <absolute_path_to_backup>\"\n  exit 1\n}\n\nwhile true; do\n  case \"$1\" in\n    -h|--help)\n      usage\n      ;;\n\n    --skip-extensions)\n      should_skip_extensions=true\n      shift 1\n      ;;\n\n    --preserve-contacts)\n      should_preserve_contacts=true\n      shift 1\n      ;;\n\n    --preserve-user-feedback)\n      should_preserve_user_feedback=true\n      shift 1\n      ;;\n\n    --preserve-oban-jobs)\n      should_preserve_oban_jobs=true\n      shift 1\n      ;;\n\n    --) shift;\n      break\n      ;;\n\n    --* | -*)\n      echo \"Unrecognized option \\\"$1\\\"\"\n      usage\n      ;;\n\n    *) break;;\n  esac\ndone\n\nif test \"$#\" -eq 1; then\n  DB_NAME=\"transport_repo\"\n  USER_NAME=\"postgres\"\n  BACKUP_PATH=$1\n  HOST=\"localhost\"\n  export PGPASSWORD=\"postgres\"\nelif test \"$#\" -eq 5; then\n  DB_NAME=$1\n  HOST=$2\n  USER_NAME=$3\n  export PGPASSWORD=$4\n  BACKUP_PATH=$5\nelse\n  usage\nfi\n\nfunction sql() {\n  psql -h \"$HOST\" -U \"$USER_NAME\" -d \"$DB_NAME\" -c \"$1\"\n}\n\nif [ \"$should_skip_extensions\" = true ]\nthen\n  pg_restore -l \"$BACKUP_PATH\" -f ./pg.list\n  pg_restore -h \"$HOST\" -U \"$USER_NAME\" -d \"$DB_NAME\" --format=c --no-owner --clean --use-list ./pg.list --no-acl \"$BACKUP_PATH\"\nelse\n  pg_restore -h \"$HOST\" -U \"$USER_NAME\" -d \"$DB_NAME\" --format=c --no-owner --clean --no-acl \"$BACKUP_PATH\"\nfi\n\nif [ \"$should_preserve_contacts\" = false ]\nthen\n  echo \"Truncating contact table\"\n  sql 'TRUNCATE TABLE contact CASCADE'\nfi\n\nif [ \"$should_preserve_user_feedback\" = false ]\nthen\n  echo \"Truncating user_feedback table\"\n  sql 'TRUNCATE TABLE user_feedback CASCADE'\nfi\n\nif [ \"$should_preserve_oban_jobs\" = false ]\nthen\n  echo \"Truncating oban_jobs table\"\n  sql 'TRUNCATE TABLE oban_jobs'\nfi\n\n# Don't let database files hang around\nrm \"$BACKUP_PATH\"\n\nif [ \"$should_skip_extensions\" = true ]\nthen\n  rm ./pg.list\nfi\n"
  },
  {
    "path": "screens/screens.exs",
    "content": "# half-baked exploration\n# run with `mix run screens/screens.exs`\n\ndefmodule EasyInspect do\n  def show(x) do\n    IO.inspect(x, IEx.inspect_opts)\n  end\nend\n\ndefmodule Transport.Data.Screens do\n  use ExUnit.Case\n  import EasyInspect\n\n\n  import Ecto.Query\n\n  test \"resources without resource history\" do\n    # TODO: dump a report somewhere on disk\n    # TODO: let LiveBook show the result in exploratory fashion\n    # TODO: move the code to the right place so that we can call it from anywhere\n    result = Transport.Screens.resources_with_duplicate_datagouv_id()\n    assert result == [], result |> inspect\n  end\n\n  test \"resources (or datagouv_id, actually, at the moment) without at least one resource history\" do\n    # TODO: dump / report\n    non_nil_datagouv_ids = DB.Resource\n    |> where([r], not is_nil(r.datagouv_id))\n    |> select([r], map(r, [:datagouv_id]))\n    |> DB.Repo.all()\n    |> Enum.map(fn(x) -> x[:datagouv_id] end)\n    |> show\n\n  end\n\n  # TODO: replace what's below with Elixir + Ecto code (for clarity / composability / maintenance)\n\n  test \"converts every GTFS to GeoJSON\" do\n    %{rows: [[originals_count]]} = Ecto.Adapters.SQL.query!(DB.Repo, \"\"\"\n    select count(*) from resource_history where payload->>'format' = 'GTFS'\n    \"\"\")\n\n    %{rows: [[conversions_count]]} = Ecto.Adapters.SQL.query!(DB.Repo, \"\"\"\n    select count(*) from data_conversion where convert_from = 'GTFS' and convert_to = 'GeoJSON'\n    \"\"\")\n\n    assert conversions_count == originals_count\n  end\n\n  test \"converts every GTFS to NeTEX\" do\n    %{rows: [[originals_count]]} = Ecto.Adapters.SQL.query!(DB.Repo, \"\"\"\n    select count(*) from resource_history where payload->>'format' = 'GTFS'\n    \"\"\")\n\n    %{rows: [[conversions_count]]} = Ecto.Adapters.SQL.query!(DB.Repo, \"\"\"\n    select count(*) from data_conversion where convert_from = 'GTFS' and convert_to = 'NeTEx'\n    \"\"\")\n\n    assert conversions_count == originals_count\n  end\nend\n\n# ExUnit.configure(exclude: :test, include: :focus)\nExUnit.start()\n"
  },
  {
    "path": "screens/screens.livemd",
    "content": "# Exploration des données\n\n## Ressources avec un \"duplicate resource data gouv id\"\n\n```elixir\nTransport.Screens.resources_with_duplicate_datagouv_id(markdown: true)\n|> Kino.Markdown.new()\n```\n\n## Ressources jamais historisées\n\nOn va déjà compter tous les `datagouv_id` des ressources:\n\n```elixir\nimport Ecto.Query\n\ndatagouv_ids =\n  DB.Resource\n  |> where([r], not is_nil(r.datagouv_id))\n  |> select([r], map(r, [:datagouv_id]))\n  |> DB.Repo.all()\n  |> Enum.map(fn x -> x[:datagouv_id] end)\n  |> Enum.sort()\n\n[\n  count: datagouv_ids |> Enum.count(),\n  unique_count: datagouv_ids |> Enum.uniq() |> Enum.count()\n]\n```\n\n```elixir\nused_datagouv_ids =\n  DB.ResourceHistory\n  |> select([:datagouv_id])\n  |> DB.Repo.all()\n  |> Enum.map(& &1.datagouv_id)\n  |> MapSet.new()\n\n[count: used_datagouv_ids |> Enum.count()]\n```\n\nCurieux !?\n\n```elixir\nnon_duplicate_datagouv_ids =\n  datagouv_ids\n  |> Enum.group_by(fn x -> x end)\n  |> Enum.reject(fn {_a, b} -> b |> Enum.count() > 1 end)\n  |> Enum.map(fn {a, _b} -> a end)\n  |> MapSet.new()\n\nproblematic_non_duplicate_datagouv_ids =\n  MapSet.difference(non_duplicate_datagouv_ids, used_datagouv_ids)\n\n[count: problematic_non_duplicate_datagouv_ids |> Enum.count()]\n```\n\n```elixir\nids = problematic_non_duplicate_datagouv_ids |> Enum.into([])\n\nDB.Resource\n|> select([r], %{format: r.format, count: count(r.id)})\n|> where([r], r.datagouv_id in ^ids)\n|> group_by([r], r.format)\n|> DB.Repo.all()\n|> Enum.sort_by(fn x -> -x.count end)\n|> Kino.DataTable.new()\n```\n\n```elixir\nresource_history_uuids =\n  DB.ResourceHistory\n  |> select([r], %{uuid: fragment(\"payload ->> 'uuid'\")})\n  |> where([r], fragment(\"payload->>'format' = 'GTFS'\"))\n  |> DB.Repo.all()\n  |> Enum.map(& &1.uuid)\n  |> MapSet.new()\n\ngeojson_conversion_uuids =\n  DB.DataConversion\n  |> where([r], r.convert_from == \"GTFS\" and r.convert_to == \"GeoJSON\")\n  |> select([dc], %{uuid: dc.resource_history_uuid})\n  |> DB.Repo.all()\n  |> Enum.map(& &1.uuid)\n  |> MapSet.new()\n\n# TODO: dry\nnetex_conversion_uuids =\n  DB.DataConversion\n  |> where([r], r.convert_from == \"GTFS\" and r.convert_to == \"NeTEx\")\n  |> select([dc], %{uuid: dc.resource_history_uuid})\n  |> DB.Repo.all()\n  |> Enum.map(& &1.uuid)\n  |> MapSet.new()\n\nmissing_netex = MapSet.difference(resource_history_uuids, netex_conversion_uuids)\nmissing_geojson = MapSet.difference(resource_history_uuids, geojson_conversion_uuids)\n\n[\n  missing_netex_per_resource_history: missing_netex |> Enum.count(),\n  missing_geojson_per_resource_history: missing_geojson |> Enum.count()\n]\n```\n\n```elixir\nuuids = geojson_conversion_uuids |> Enum.into([])\n\nexisting_resource_datagouv_id =\n  DB.Resource\n  |> select([r], %{datagouv_id: r.datagouv_id})\n  |> DB.Repo.all()\n  |> Enum.map(& &1.datagouv_id)\n  |> MapSet.new()\n\ngtfs_resources_with_no_netex =\n  DB.ResourceHistory\n  |> select([r], %{datagouv_id: r.datagouv_id})\n  |> where([r], r.datagouv_id not in ^uuids)\n  |> where([r], fragment(\"payload->>'format' = 'GTFS'\"))\n  |> distinct(:datagouv_id)\n  |> DB.Repo.all()\n  |> MapSet.new()\n  # clean-up for not used anymore\n  |> MapSet.intersection(existing_resource_datagouv_id)\n\nuuids = netex_conversion_uuids |> Enum.into([])\n\ngtfs_resources_with_no_geojson =\n  DB.ResourceHistory\n  |> select([r], %{datagouv_id: r.datagouv_id})\n  |> where([r], r.datagouv_id not in ^uuids)\n  |> where([r], fragment(\"payload->>'format' = 'NeTEx'\"))\n  |> distinct(:datagouv_id)\n  |> DB.Repo.all()\n  |> MapSet.new()\n  # clean-up for not used anymore\n  |> MapSet.intersection(existing_resource_datagouv_id)\n\n[\n  gtfs_resources_with_no_netex: gtfs_resources_with_no_netex |> Enum.count(),\n  gtfs_resources_with_no_geojson: gtfs_resources_with_no_geojson |> Enum.count()\n]\n```\n"
  },
  {
    "path": "screens/vehicles.livemd",
    "content": "# Untitled notebook\n\n## Section\n\n```elixir\nimport Ecto.Query\n\ndefmodule Fetcher do\n  def fetch(url) do\n    %{status_code: 200, body: body} =\n      Transport.Shared.Wrapper.HTTPoison.impl().get!(url, [], follow_redirect: true)\n\n    %{\n      header: %{\n        gtfs_realtime_version: _version,\n        incrementality: :FULL_DATASET,\n        timestamp: _timestamp\n      },\n      entity: entity\n    } = TransitRealtime.FeedMessage.decode(body)\n\n    entity\n  end\nend\n\nDB.Resource\n|> where(format: \"gtfs-rt\")\n|> preload(:dataset)\n|> DB.Repo.all(log: false)\n|> Enum.filter(& &1.dataset.is_active)\n# |> Enum.take(1)\n|> Task.async_stream(\n  fn resource ->\n    try do\n      vehicles =\n        resource.url\n        |> Fetcher.fetch()\n        |> Enum.filter(& &1.vehicle)\n        |> Enum.map(& &1.vehicle)\n        |> Enum.map(fn v ->\n          %{\n            vehicle_id: v.vehicle.id,\n            latitude: v.position.latitude,\n            longitude: v.position.longitude,\n            bearing: v.position.bearing,\n            timestamp: v.timestamp\n          }\n        end)\n\n      %{\n        resource_id: resource.id,\n        vehicles: vehicles\n      }\n    rescue\n      e -> %{error: e}\n    end\n  end,\n  max_concurrency: 50,\n  on_timeout: :kill_task,\n  timeout: 10000\n)\n|> Enum.map(fn {:ok, r} -> r end)\n|> Enum.reject(fn r -> Map.has_key?(r, :error) end)\n|> Enum.reject(fn r -> r.vehicles |> length() == 0 end)\n|> Enum.map(fn x -> {x.resource_id, x.vehicles |> length()} end)\n|> Enum.into([])\n```\n"
  },
  {
    "path": "scripts/.gitignore",
    "content": "downloads\ncache-dir\n"
  },
  {
    "path": "scripts/README.md",
    "content": "# Scripts\n\nA unstructured collection of scripts to explore or patch data. Can be used to\nfix production data, to do some cold analysis, or to test some piece of code.\n\n## Usage\n\nAssuming you've sourced the required environment variables (mostly the database connector), you can launch a given script with `mix run`:\n\n```\nmix run scripts/my-script.exs\n```\n"
  },
  {
    "path": "scripts/api/.gitignore",
    "content": "cache-dir"
  },
  {
    "path": "scripts/api/filter_gtfs_rt_by_entity_types.exs",
    "content": "Mix.install([\n  {:jason, \"~> 1.3\"},\n  {:req, \"~> 0.2.2\"}\n])\n\nurl = \"https://transport.data.gouv.fr/api/datasets\"\nfile = Regex.replace(~r/\\W/, url, \"-\")\n\nunless File.exists?(file) do\n  %{status: 200, body: body} = Req.get!(url)\n  File.write!(file, body |> Jason.encode!())\nend\n\nIO.puts(\"============= first attempt =============\")\n\nfile\n|> File.read!()\n|> Jason.decode!()\n|> Enum.map(& &1[\"resources\"])\n|> List.flatten()\n|> Enum.filter(&(\"service_alerts\" in &1[\"features\"]))\n# NOTE: we lack a `page_url` or reliable ressource id to\n# build a link back to the site here\n# https://github.com/etalab/transport-site/issues/2303\n|> IO.inspect(IEx.inspect_opts())\n\nIO.puts(\"============= work-around for #2303 ==============\")\n\n# as a quick work-around, just report on the dataset page, which usually has only one GTFS-RT resource\nfile\n|> File.read!()\n|> Jason.decode!()\n|> Enum.map(fn d ->\n  resources = d[\"resources\"] |> Enum.filter(&(\"service_alerts\" in &1[\"features\"]))\n\n  if resources == [] do\n    nil\n  else\n    d[\"page_url\"]\n  end\nend)\n|> Enum.reject(&is_nil/1)\n|> Enum.join(\"\\n\")\n|> IO.puts()\n"
  },
  {
    "path": "scripts/api/spec_check.exs",
    "content": "#! mix run\nCode.require_file(__DIR__ <> \"/../irve/req_custom_cache.exs\")\n\nExUnit.start()\n\ndefmodule Query do\n  def cache_dir, do: Path.join(__ENV__.file, \"../cache-dir\") |> Path.expand()\n\n  def cached_get!(url) do\n    req = Req.new() |> CustomCache.attach()\n    Req.get!(req, url: url, custom_cache_dir: cache_dir())\n  end\nend\n\ndefmodule TestSuite do\n  use ExUnit.Case\n  import OpenApiSpex.TestAssertions\n\n  @host \"https://transport.data.gouv.fr\"\n  @index_url Path.join(@host, \"/api/datasets\")\n\n  def api_spec, do: TransportWeb.API.Spec.spec()\n\n  test \"/api/datasets passes our OpenAPI specification\" do\n    url = @index_url\n    %{status: 200, body: json} = Query.cached_get!(url)\n    assert_schema(json, \"DatasetsResponse\", api_spec())\n  end\n\n  test \"each /api/datasets/:id passes our OpenAPI specification\" do\n    url = @index_url\n    %{status: 200, body: json} = Query.cached_get!(url)\n\n    task = fn id ->\n      # IO.puts(\"Processing #{id}\")\n      url = Path.join(@host, \"/api/datasets/#{id}\")\n      %{status: 200, body: json} = Query.cached_get!(url)\n      json\n    end\n\n    datasets =\n      json\n      |> Enum.map(& &1[\"id\"])\n      |> Task.async_stream(\n        task,\n        max_concurrency: 25,\n        on_timeout: :kill_task,\n        timeout: 15_000\n      )\n      |> Enum.map(fn {:ok, result} -> result end)\n      |> Enum.into([])\n\n    datasets\n    |> Enum.each(fn d ->\n      assert_schema(d, \"DatasetDetails\", api_spec())\n    end)\n  end\nend\n"
  },
  {
    "path": "scripts/api_datasets_check.exs",
    "content": "Mix.install([\n  {:req, \">= 0.0.0\"}\n])\n\nrequire Logger\nLogger.info(\"Starting...\")\n\n%{body: datasets} = Req.get!(\"http://localhost:5000/api/datasets\")\n\ndatasets\n|> Enum.map(& &1[\"id\"])\n|> Task.async_stream(\n  fn id ->\n    %{body: body, status: status} = Req.get!(\"http://localhost:5000/api/datasets/#{id}\", retry: :never)\n\n    cond do\n      status == 500 ->\n        {status, body |> String.split(\"\\n\") |> List.first() |> String.split(\"at\") |> List.first()}\n\n      true ->\n        status\n    end\n  end,\n  max_concurrency: 30\n)\n|> Enum.map(fn {:ok, id} -> id end)\n|> Enum.group_by(& &1)\n|> Enum.map(fn {k, v} -> {k, Enum.count(v)} end)\n|> Enum.into(%{})\n|> IO.inspect(IEx.inspect_opts())\n\nLogger.info(\"Done...\")\n"
  },
  {
    "path": "scripts/backfill_multi_validation_binary_result.exs",
    "content": "defmodule Script do\n  @moduledoc \"\"\"\n  Script to backfill multi_validation.binary_result for NeTEx when result is available.\n  \"\"\"\n\n  require Logger\n  import Ecto.Query\n\n  def backfill_all do\n    Logger.info(\"Backfilling binary results\")\n\n    list_validations()\n    |> Enum.each(fn [mv_id] -> process_validation(mv_id) end)\n\n    Logger.info(\"Done\")\n  end\n\n  defp list_validations do\n    from(mv in DB.MultiValidation)\n    |> select([mv], [mv.id])\n    |> where([mv], not is_nil(mv.result))\n    |> where([mv], is_nil(mv.binary_result))\n    |> where([mv], mv.validator == \"enroute-chouette-netex-validator\")\n    |> DB.Repo.all()\n  end\n\n  defp process_validation(mv_id) do\n    DB.MultiValidation.with_result() |> DB.Repo.get(mv_id) |> backfill_binary_result_and_digest()\n  end\n\n  defp backfill_binary_result_and_digest(%DB.MultiValidation{result: nil, binary_result: nil} = mv) do\n    Logger.warning(\"No result for multi_validation ##{mv.id}\")\n  end\n\n  defp backfill_binary_result_and_digest(%DB.MultiValidation{binary_result: nil} = mv) do\n    Logger.info(\"Processing multi_validation ##{mv.id}\")\n\n    mv\n    |> Ecto.Changeset.change(build_changeset(mv))\n    |> DB.Repo.update!()\n  end\n\n  defp backfill_binary_result_and_digest(%DB.MultiValidation{} = mv) do\n    Logger.info(\"Skipping multi_validation ##{mv.id}\")\n  end\n\n  defp build_changeset(%DB.MultiValidation{} = mv) do\n    results_adapter = Transport.Validators.NeTEx.ResultsAdapter.resolve(mv.validator_version)\n\n    binary_result = results_adapter.to_binary_result(mv.result)\n    digest = results_adapter.digest(mv.result)\n\n    %{binary_result: binary_result, digest: digest}\n  end\nend\n\nLogger.configure(level: :info)\nScript.backfill_all()\n"
  },
  {
    "path": "scripts/backfill_multi_validation_digest.exs",
    "content": "defmodule Script do\n  require Logger\n  import Ecto.Query\n\n  def backfill_all do\n    Logger.info(\"Backfilling digests\")\n\n    from(mv in DB.MultiValidation)\n    |> select([mv], [mv.id])\n    |> where([mv], not is_nil(mv.result))\n    |> where([mv], is_nil(mv.digest))\n    |> DB.Repo.all()\n    |> Enum.each(fn [mv_id] ->\n      DB.MultiValidation.with_result() |> DB.Repo.get(mv_id) |> backfill_multi_validation()\n    end)\n\n    Logger.info(\"Done\")\n  end\n\n  def backfill_multi_validation(%DB.MultiValidation{result: nil, digest: nil} = mv) do\n    Logger.warning(\"No result for multi_validation ##{mv.id}\")\n  end\n\n  def backfill_multi_validation(%DB.MultiValidation{validator: validator, digest: nil} = mv) do\n    Logger.info(\"Processing multi_validation ##{mv.id} - #{validator}\")\n\n    case validator do\n      \"GTFS transport-validator\" ->\n        Transport.Validators.GTFSTransport.digest(mv.result)\n\n      \"gtfs-realtime-validator\" ->\n        Transport.Validators.GTFSRT.digest(mv.result)\n\n      \"enroute-chouette-netex-validator\" ->\n        Transport.Validators.NeTEx.ResultsAdapter.resolve(mv.validator_version).digest(mv.result)\n\n      \"MobilityData/gbfs-validator\" ->\n        Transport.Validators.GBFSValidator.digest(mv.result)\n\n      \"GBFS-Validator\" ->\n        Transport.Validators.GBFSValidator.digest(mv.result)\n\n      \"validata-api\" ->\n        Transport.Validators.TableSchema.digest(mv.result)\n\n      \"validata\" ->\n        Transport.Validators.TableSchema.digest(mv.result)\n\n      \"Validata JSON\" ->\n        Transport.Validators.ValidataJson.digest(mv.result)\n\n      \"EXJSONSchema\" ->\n        Transport.Validators.JSONSchema.digest(mv.result)\n\n      \"ExJsonSchema\" ->\n        Transport.Validators.JSONSchema.digest(mv.result)\n\n      \"MobilityData GTFS Validator\" ->\n        Transport.Validators.MobilityDataGTFSValidator.digest(Map.get(mv.result, \"notices\", []))\n\n      unsupported ->\n        Logger.warning(\"multi_validation ##{mv.id}: unsupported validator #{unsupported}\")\n        nil\n    end\n    |> save(mv)\n  end\n\n  def backfill_multi_validation(%DB.MultiValidation{} = mv) do\n    Logger.info(\"Skipping multi_validation ##{mv.id}\")\n  end\n\n  defp save(nil, _mv) do\n  end\n\n  defp save(digest, mv) do\n    mv\n    |> Ecto.Changeset.change(digest: digest)\n    |> DB.Repo.update!()\n  end\nend\n\nLogger.configure(level: :info)\nScript.backfill_all()\n"
  },
  {
    "path": "scripts/backfill_netex_metadata.exs",
    "content": "defmodule Script do\n  require Logger\n  import Ecto.Query\n\n  alias Transport.Validators.NeTEx.Validator\n  alias Transport.Validators.NeTEx.MetadataExtractor\n\n  def backfill_all(options \\\\ []) do\n    load_candidates(options)\n    |> log_count()\n    |> Enum.each(&backfill/1)\n\n    Logger.info(\"Done\")\n  end\n\n  defp load_candidates(options) do\n    resource_ids = Keyword.get(options, :resource_ids, [])\n    force = Keyword.get(options, :force, false) == true\n\n    document_query(resource_ids, force)\n\n    from_multi_validation_and_resource_metadata_for_historized_resources()\n    |> is_netex()\n    |> without_computed_validity_dates(force)\n    |> limited_to_subset(resource_ids)\n    |> oldest_first()\n    |> DB.Repo.all()\n  end\n\n  defp document_query([], true) do\n    Logger.info(\"Backfilling metadata for all NeTEx historized resources\")\n  end\n\n  defp document_query(resource_ids, force) do\n    intro =\n      if force do\n        \"Backfilling metadata for NeTEx historized resources\"\n      else\n        \"Backfilling metadata for NeTEx historized resources without validity dates\"\n      end\n\n    case resource_ids do\n      [] -> Logger.info(intro)\n      _ -> Logger.info(\"#{intro} linked to resources #{inspect(resource_ids)}\")\n    end\n  end\n\n  def from_multi_validation_and_resource_metadata_for_historized_resources do\n    from(rm in DB.MultiValidation)\n    |> join(:left, [mv, rh], rh in DB.ResourceHistory, on: mv.resource_history_id == rh.id)\n    |> join(:left, [_mv, rh, r], r in DB.Resource, on: rh.resource_id == r.id)\n    |> join(:left, [mv, _rh, _r, rm], rm in DB.ResourceMetadata, on: rm.multi_validation_id == mv.id)\n    |> select([_mv, rh, _r, rm], [rh.id, rm.id])\n  end\n\n  defp is_netex(query) do\n    query\n    |> where([_mv, _rh, r, _rm], r.format == \"NeTEx\")\n    |> where([mv, _rh, _r, _rm], mv.validator == \"enroute-chouette-netex-validator\")\n  end\n\n  defp without_computed_validity_dates(query, true), do: query\n\n  defp without_computed_validity_dates(query, _) do\n    query\n    |> where([_mv, _rh, _r, rm], fragment(\"?->>'start_date' is null\", rm.metadata))\n    |> where([_mv, _rh, _r, rm], not fragment(\"coalesce((?->>'no_validity_dates')::boolean, false)\", rm.metadata))\n  end\n\n  defp limited_to_subset(query, []), do: query\n\n  defp limited_to_subset(query, resource_ids) do\n    query |> where([_mv, _rh, r, _rm], r.id in ^resource_ids)\n  end\n\n  def oldest_first(query) do\n    order_by(query, [_mv, _rh, _r, rm], {:asc, rm.updated_at})\n  end\n\n  defp log_count(candidates) do\n    Logger.info(\"#{length(candidates)} candidates\")\n\n    candidates\n  end\n\n  defp backfill([rh_id, rm_id]) do\n    resource_history = DB.ResourceHistory |> DB.Repo.get(rh_id)\n    resource_metadata = DB.ResourceMetadata |> DB.Repo.get(rm_id)\n    backfill(resource_history, resource_metadata)\n  end\n\n  defp backfill(%DB.ResourceHistory{} = resource_history, %DB.ResourceMetadata{} = resource_metadata) do\n    Validator.with_resource_file(resource_history, fn filepath ->\n      Logger.info(\"ResourceHistory##{resource_history.id} - ResourceMetadata##{resource_metadata.id} - #{filepath}\")\n      metadata = MetadataExtractor.extract(filepath)\n\n      modes = metadata[\"modes\"] || []\n      metadata = Map.merge(resource_metadata.metadata, metadata)\n\n      resource_metadata\n      |> Ecto.Changeset.change(metadata: metadata, modes: modes)\n      |> DB.Repo.update!()\n    end)\n  end\nend\n\nLogger.configure(level: :info)\nScript.backfill_all()\n"
  },
  {
    "path": "scripts/backups-analysis.livemd",
    "content": "# Analyse des backups Postgres de production\n\n```elixir\nMix.install([\n  {:kino, \"~> 0.16.0\"},\n  {:kino_vega_lite, \"~> 0.1.11\"}\n])\n```\n\n## Pré-requis : installation du client S3 MinIO (mc)\n\nCe livebook s'appuie sur [MinIO Client (mc)](https://github.com/minio/mc).\n\nSur Mac, l'installation se fait avec `brew install minio/stable/mc` (pour les autres plateformes voir le [README](https://github.com/minio/mc)).\n\nSous `~/.mc/config.json`, intégrer la configuration suivante (et la modifier avec les credentials de l'addon `Backups` sur Clever Cloud) :\n\n```json\n{\n\t\"version\": \"10\",\n\t\"aliases\": {\n\t\t\"transport-backups\": {\n\t\t\t\"url\": \"https://cellar-c2.services.clever-cloud.com\",\n\t\t\t\"accessKey\": \"REDACTED\",\n\t\t\t\"secretKey\": \"REDACTED\",\n\t\t\t\"api\": \"S3v4\",\n\t\t\t\"path\": \"dns\"\n\t\t}\n\t}\n}\n```\n\nPuis faire le test suivant: `mc ls transport-backups` pour vérifier la connectivité.\n\nLister les backups de production avec la commande suivante:\n\n```shell\n❯ mc ls transport-backups/ccbackups-postgresql-4a305f24-8a31-4815-b2bb-23f4711303ee\n[2024-12-21 02:40:53 CET] 2.0GiB STANDARD postgresql_4a305f24-8a31-4815-b2bb-23f4711303ee-20241221013239.dump\n[2024-12-22 03:20:02 CET] 2.0GiB STANDARD postgresql_4a305f24-8a31-4815-b2bb-23f4711303ee-20241222021306.dump\n# SNIP\n```\n\n## Analyse des backups de production\n\nPour une analyse automatisée, on peut passer le flag `--json` à `mc`, qui retourne alors un output structuré.\n\n```elixir\nminio_config = \"transport-backups\"\nbucket = \"ccbackups-postgresql-4a305f24-8a31-4815-b2bb-23f4711303ee\"\n\n{output, 0} = System.cmd(\"mc\", [\"ls\",\"--json\",\"#{minio_config}/#{bucket}\"])\n\nentries = output\n  |> String.trim()\n  |> String.split(\"\\n\") \n  |> Enum.map(&JSON.decode!/1)\n\n:ok\n```\n\nPour illustrer le problème des backups qui échouent, je compte le nombre de backups par jour.\n\nJe soustrais 1 pour calculer un \"estimatif\" du nombre d'incidents de backups par jour:\n\n```elixir\nestimated_backup_incidents = entries\n  |> Enum.map(fn(x) -> x[\"lastModified\"] |> String.slice(0..9) end)\n  |> Enum.frequencies()\n  |> Enum.sort(:desc)\n  |> Enum.map(fn({date, count}) -> %{date: date, count: count - 1} end)\n\n:ok\n```\n\nPuis je fais un rendu graphique :\n\n<!-- livebook:{\"attrs\":\"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\",\"chunks\":null,\"kind\":\"Elixir.KinoVegaLite.ChartCell\",\"livebook_object\":\"smart_cell\"} -->\n\n```elixir\nVegaLite.new(width: 800, height: 400, title: \"Incidents (estimatifs) au moment du backup\")\n|> VegaLite.data_from_values(estimated_backup_incidents, only: [\"date\", \"count\"])\n|> VegaLite.mark(:bar)\n|> VegaLite.encode_field(:x, \"date\", type: :temporal)\n|> VegaLite.encode_field(:y, \"count\", type: :quantitative)\n```\n\n## Conclusion\n\nLe nombre d'incidents de backups est important et croissant depuis mai.\n\nIl va falloir demander à notre hébergeur ce qui se passe et voir comment traiter ça.\n\nTravailler sur la taille de la base de données serait aussi une bonne idée.\n"
  },
  {
    "path": "scripts/chouette_valid_rulesets.exs",
    "content": "defmodule Script do\n  @moduledoc \"\"\"\n  Script to interact with the enRoute Chouette Valid rulesets API.\n\n  Used to:\n  - list published rulesets\n  - publish the latest rulesets\n  - debug and inspect current implementation of validation rules for the\n    French NeTEx profile.\n  - convert existing rules to markdown or JSON for documentation. This is a\n    legacy command which will be droped. Documentation of published rules is\n    still useful but should be done via the interface instead. Until the later\n    is implemented this command remain.\n  \"\"\"\n\n  import Transport.NeTEx.FrenchProfile\n  alias Transport.EnRoute.ChouetteValidRulesetsClient.Slugs\n  alias Transport.EnRoute.ChouetteValidRulesetsClient.Wrapper\n\n  def document_rulesets(filename) do\n    with_file(\"#{filename}.json\", &ruleset/1)\n    with_file(\"#{filename}.md\", &markdown/1)\n  end\n\n  def list_rulesets do\n    Wrapper.impl().list_rulesets()\n    |> IO.inspect()\n  end\n\n  def list_revisions(slug) do\n    Wrapper.list_versions(slug)\n    |> Enum.map(fn %{\"slug\" => version_slug, \"id\" => id, \"updated_at\" => timestamp} ->\n      {version_slug, id, timestamp}\n    end)\n    |> IO.inspect()\n  end\n\n  def find_ruleset_id(slug) do\n    Wrapper.find_ruleset_id(slug)\n    |> IO.inspect(label: \"found slug #{slug}\")\n  end\n\n  def get_ruleset(slug) do\n    Wrapper.impl().get_ruleset(slug)\n    |> IO.inspect()\n  end\n\n  def publish_ruleset do\n    slug = slug() |> Slugs.check_slug!()\n\n    result =\n      with_string(&ruleset/1)\n      |> prepend_enroute_starter_kit()\n      |> upsert_ruleset(\"French profile\", slug)\n\n    case result do\n      {:ok, ruleset_id} -> IO.puts(\"Ruleset properly pushed with id: #{ruleset_id}\")\n      {:error, msg} -> IO.puts(\"Error pushing the rulesets: #{msg}\")\n    end\n  end\n\n  def upsert_ruleset(ruleset, name, slug) do\n    case Wrapper.impl().create_ruleset(ruleset, name, slug) do\n      {:error, \"Slug already taken\"} -> Wrapper.impl().update_ruleset(ruleset, name, slug)\n      result -> result\n    end\n  end\n\n  defp with_file(file, proc), do: File.write(file, with_string(proc))\n\n  defp with_string(proc) do\n    {:ok, device} = StringIO.open(\"\")\n\n    proc.(device)\n\n    StringIO.flush(device)\n  end\n\n  # I wish we could refer another ruleset\n  defp prepend_enroute_starter_kit(json) do\n    enroute_rules = read_enroute_starter_kit()\n    pan_rules = Jason.decode!(json)\n\n    Jason.encode!(enroute_rules ++ pan_rules)\n  end\n\n  defp read_enroute_starter_kit do\n    \"apps/transport/lib/netex/enroute-starter-kit.json\"\n    |> File.read!()\n    |> Jason.decode!()\n  end\nend\n\ndefmodule CLI do\n  def handle_args(argv) do\n    case argv do\n      [\"find-ruleset-id\", slug] -> Script.find_ruleset_id(slug)\n      [\"get-ruleset\", slug] -> Script.get_ruleset(slug)\n      [\"list-revisions\", slug] -> Script.list_revisions(slug)\n      [\"publish-ruleset\"] -> Script.publish_ruleset()\n      [\"list-rulesets\"] -> Script.list_rulesets()\n      [\"document-rulesets\", filename] -> Script.document_rulesets(filename)\n      [\"document-rulesets\"] -> Script.document_rulesets(\"chouette_ruleset\")\n      [\"help\"] -> help()\n      _ -> help()\n    end\n  end\n\n  def help do\n    IO.puts(\"\"\"\n    chouette-valid-rulesets\n      CLI to manage custom rulesets for Chouette Valid.\n      Helps us implement NeTEx French profile and custom checks.\n\n    Commands:\n      publish-ruleset              # publish our ruleset to the given slug from the definition\n      list-rulesets                # list all published rulesets\n      get-ruleset <slug>           # inspect ruleset for a given slug\n\n      find-ruleset-id <slug>       # find ruleset-id of a given slug (ruleset-id in Chouette Valid API)\n      list-revisions <slug>        # list revisions of a given slug\n\n      document-rulesets (filename) # dump rulesets as json definition and markdown (filename.md & filename.json). Deprecated command ; will be superseeded by a proper inline documentation.\n\n      help                         # this message\n    \"\"\")\n  end\nend\n\nSystem.argv() |> CLI.handle_args()\n"
  },
  {
    "path": "scripts/compare-json.sh",
    "content": "#!/bin/bash\nset -e\ndiff <(jq --sort-keys 'del(.timeStamp)' $1) <(jq --sort-keys 'del(.timeStamp)' $2) 2>&1\n"
  },
  {
    "path": "scripts/compare_http.exs",
    "content": "#! mix run\n\n# NOTE: very dirty script I've used to compare behaviours of HTTPoison & Req on a largish number of files (~700)\n# before migrating clients.\n\ndefmodule Downloader do\n  def url_hash(url) do\n    :crypto.hash(:sha256, :erlang.term_to_binary(url))\n    |> Base.encode16(case: :lower)\n  end\n\n  def get(:http_poison, url) do\n    %HTTPoison.Response{status_code: status_code, body: body} =\n      HTTPoison.get!(url, [], follow_redirect: true, timeout: 180_000, recv_timeout: 180_000)\n\n    {status_code, body}\n  end\n\n  def get(:req, url) do\n    # for now, do not ask the server for a compressed response, to mimic what's done by httpoison/hackney at the moment\n    # https://hexdocs.pm/req/Req.Steps.html#compressed/1\n    # also, do not decode the body as JSON (for instance)\n    # Note for real implementation: it would be better to ask for compressed,\n    # but decompress it, without decoding it as JSON\n    %{status: status_code, body: body} =\n      Req.get!(url, compressed: false, decode_body: false, receive_timeout: 180_000)\n\n    {status_code, body}\n  end\n\n  def cache_dir, do: Path.join(__ENV__.file, \"../cache-dir\") |> Path.expand()\n\n  def create_cache_dir do\n    unless File.exists?(cache_dir()) do\n      File.mkdir_p!(cache_dir())\n    end\n  end\n\n  def cached_get(client, url, message \\\\ \"\") do\n    cache_key = [\"test-http\", client, url_hash(url)] |> Enum.join(\"-\")\n    file_cache = Path.join(cache_dir(), cache_key)\n    file_cache_status = file_cache <> \".status\"\n\n    unless File.exists?(file_cache) do\n      IO.puts(\"File does not exist #{file_cache}... (#{url} #{message})\")\n      {status_code, body} = get(client, url)\n\n      File.write!(file_cache, body)\n      File.write!(file_cache_status, status_code |> to_string)\n    end\n\n    {\n      File.read!(file_cache_status),\n      File.read!(file_cache)\n    }\n  end\nend\n\nDownloader.create_cache_dir()\n\ndefmodule ZipTools do\n  def to_tmp_file(filename, content) do\n    dir = System.tmp_dir!()\n    tmp_file = Path.join(dir, filename)\n    File.write!(tmp_file, content)\n    tmp_file\n  end\n\n  # return the meta-data (list of files & checksums) of a given zip,\n  # after writing it to a temp file since it's not currently possible\n  # to read that from memory (https://github.com/akash-akya/unzip/issues/20)\n  #\n  # filtering out the `last_modified_datetime` because zenbus files are generated\n  # on the fly and it would hinder the comparison.\n  def get_zip_metadata(:old, content) do\n    filename = to_tmp_file(\"zip_meta\", content)\n\n    # NOTE: it would be better to delete the tempfile after analysis\n    Transport.ZipMetaDataExtractor.extract!(filename)\n    |> Enum.map(fn x -> x |> Map.take([:file_name]) end)\n  end\n\n  def get_zip_metadata(content) do\n    filename = to_tmp_file(\"zip_meta\", content)\n    {output, exit_code} = System.cmd(\"unzip\", [\"-Z1\", filename], stderr_to_stdout: true)\n\n    cond do\n      exit_code == 0 ->\n        output |> String.split(\"\\n\") |> Enum.sort()\n\n      output =~ ~r/cannot find zipfile directory|signature not found/ ->\n        :corrupt\n\n      true ->\n        raise \"should not happen\"\n    end\n  end\nend\n\ndefmodule Script do\n  require Logger\n\n  def run!() do\n    task = fn resource ->\n      resp_1 =\n        try do\n          {status_code, body} = Downloader.cached_get(:http_poison, resource.url, \"resource_id=#{resource.id}\")\n          {:ok, {status_code, body}}\n        rescue\n          e ->\n            Logger.error(\"Error for resource_id=#{resource.id} #{resource.url} - #{e |> inspect}\")\n            {:error, e}\n        end\n\n      resp_2 =\n        try do\n          url = resource.url |> String.replace(\"|\", \"|\" |> URI.encode())\n          {status_code, body} = Downloader.cached_get(:req, url, \"resource_id=#{resource.id}\")\n          {:ok, {status_code, body}}\n        rescue\n          e ->\n            Logger.error(\"Error for resource_id=#{resource.id} #{resource.url} - #{e |> inspect}\")\n            {:error, e}\n        end\n\n      status_1 = resp_1 |> elem(1) |> elem(0)\n      status_2 = resp_2 |> elem(1) |> elem(0)\n\n      cond do\n        status_1 != status_2 ->\n          IO.puts(\"warn: http_poison=#{status_1} req=#{status_2}\")\n\n        true ->\n          nil\n      end\n\n      same = resp_1 == resp_2\n\n      unless same do\n        if resource.format == \"GTFS\" do\n          {:ok, {status_code_1, body_1}} = resp_1\n          {:ok, {status_code_2, body_2}} = resp_2\n\n          try do\n            meta_1 = ZipTools.get_zip_metadata(body_1)\n            meta_2 = ZipTools.get_zip_metadata(body_2)\n\n            cond do\n              meta_1 == :corrupt && meta_2 == :corrupt ->\n                :both_corrupt_gtfs\n\n              meta_1 == :corrupt && meta_2 != :corrupt ->\n                :http_poison_corrupt\n\n              meta_1 != :corrupt && meta_2 == :corrupt ->\n                :req_corrupt\n\n              meta_1 != :corrupt && meta_2 != :corrupt && meta_1 == meta_2 ->\n                :same_gtfs_meta\n\n              meta_1 != meta_2 ->\n                IO.puts(\"==============\")\n                IO.inspect(meta_1)\n                IO.inspect(meta_2)\n                :different_gtfs\n            end\n          rescue\n            e ->\n              IO.puts(\"Compare failed: #{e |> inspect}\")\n              :compare_failed_gtfs\n          end\n        else\n          :different\n        end\n      else\n        :same\n      end\n    end\n\n    Transport.Jobs.ResourceHistoryAndValidationDispatcherJob.resources_to_historise()\n    #    |> Enum.reject(&(&1.dataset_id == 641)) # https://transport.data.gouv.fr/datasets/amenagements-cyclables-france-metropolitaine\n    |> Task.async_stream(\n      task,\n      # not too high initially or HTTPoison will raise errors\n      max_concurrency: 50,\n      timeout: :infinity\n    )\n    |> Enum.map(fn {:ok, r} -> r end)\n    |> Enum.frequencies()\n    |> IO.inspect(IEx.inspect_opts())\n  end\n\n  def show_large do\n    task = fn resource ->\n      {status_code, body} = Downloader.cached_get(:http_poison, resource.url, \"resource_id=#{resource.id}\")\n      {resource.dataset_id, body |> byte_size(), :crypto.hash(:sha256, body) |> Base.encode16()}\n    end\n\n    Transport.Jobs.ResourceHistoryAndValidationDispatcherJob.resources_to_historise()\n    # |> Enum.filter(fn(x) -> x.dataset_id == 641 end)\n    |> Task.async_stream(\n      task,\n      max_concurrency: 10,\n      timeout: :infinity\n    )\n    |> Enum.map(fn {:ok, x} -> x end)\n    |> Enum.filter(fn {_id, size, hash} -> size > 100_000_000 end)\n    |> Enum.map(fn {id, s, hash} -> id end)\n    |> Enum.frequencies()\n    |> Enum.each(&IO.inspect(&1))\n  end\nend\n\n# Script.run!()\n# Script.show_large()\n\nIO.puts(\"Leaving...\")\n"
  },
  {
    "path": "scripts/contacts/contact_export.exs",
    "content": "#! mix run\n\nimport Ecto.Query\n\n# NOTE: for now, edit Transport.Vault and temporarily inject the production `CLOAK_KEY` value to decrypt email\n# NOTE: in `restore_db.sh`, make sure to uncomment `Truncating contact table` line when restoring a backup!\n\n# DB.Contact.__schema__(:fields)\n# |> IO.inspect(IEx.inspect_opts())\n\nrows =\n  from(DB.Contact)\n  |> select([c], map(c, [:id, :first_name, :last_name, :job_title, :organization, :email]))\n  |> order_by([{:asc, :id}])\n  |> DB.Repo.all()\n  |> CSV.encode(headers: true)\n  |> Enum.into([])\n\nFile.write!(\"data.csv\", rows)\n"
  },
  {
    "path": "scripts/contacts/insert_contacts.exs",
    "content": "# Insert `DB.Contact` rows from a CSV file created by our team.\n# Sample content:\n# ```\n# email,first_name,last_name,job_title,organization,phone_number\n# foo.bar@example.fr,Foo,Bar,Boss,Loire Atlantique,\n# ```\n# See https://mattermost.incubateur.net/betagouv/pl/io33ern89traxkhmac5x1ue1ho\n# Run with `mix run scripts/contacts/insert_contacts.exs`\ncsv_config_filepath = \"/tmp/contacts.csv\"\n\ncsv_config_filepath\n|> File.stream!()\n|> CSV.decode!(headers: true)\n|> Enum.to_list()\n|> Enum.each(fn %{} = data ->\n  {_, data} =\n    Map.get_and_update(data, \"organization\", fn current_value ->\n      new_value =\n        case current_value do\n          \"\" -> \"?\"\n          other -> other\n        end\n\n      {current_value, new_value}\n    end)\n\n  DB.Contact.insert!(data)\nend)\n"
  },
  {
    "path": "scripts/contacts/insert_notification_subscriptions.exs",
    "content": "# Insert `DB.NotificationSubscription` rows in the database using a notifications' config in YAML.\n# It looks up for the associated dataset and contact, which must exist.\n# Run with `mix run scripts/contacts/insert_notification_subscriptions.exs`\n\nyaml_config_filepath = \"/tmp/config.yml\"\n\ndefmodule Converter do\n  def convert({\"expiration\", data}) do\n    Enum.flat_map(data, fn {slug, %{\"emails\" => emails}} ->\n      Enum.map(emails, fn email -> [\"expiration\", slug, String.downcase(email)] end)\n    end)\n  end\n\n  def convert({reason, emails}) do\n    Enum.map(emails, fn email -> [reason, nil, String.downcase(email)] end)\n  end\nend\n\nyaml_config_filepath\n|> File.read!()\n|> YamlElixir.read_from_string!()\n|> Enum.flat_map(&Converter.convert/1)\n|> Enum.map(fn [reason, dataset_slug, email] ->\n  dataset_id =\n    case dataset_slug do\n      nil -> nil\n      slug when is_binary(slug) -> DB.Repo.get_by!(DB.Dataset, slug: slug).id\n    end\n\n  contact_id = DB.Repo.get_by!(DB.Contact, email_hash: email).id\n\n  DB.NotificationSubscription.insert!(%{\n    contact_id: contact_id,\n    dataset_id: dataset_id,\n    source: :admin,\n    reason: reason\n  })\nend)\n"
  },
  {
    "path": "scripts/debugging.livemd",
    "content": "# Notes utiles\n\n## Comment lancer ce livebook\n\n* [Suivre la documentation](https://github.com/livebook-dev/livebook#escript) et installer livebook comme `escript`:\n\n```\nmix escript.install hex livebook\nasdf reshim elixir\n```\n\n* Lancer livebook en connection au projet, avec la commande suivante:\n\n```\nlivebook server\n```\n\n* Modifier les réglages pour ne pas utiliser le mode \"standalone\" mais se connecter à un noeud qui tourne à la place (instructions disponibles dans LiveBook)\n\n## Opérations liées à l'import\n\nLors de l'ajout d'un dataset en backoffice, on donne l'url \"data gouv\" du dataset. Le contrôleur reçoit cette url via l'action [POST](https://github.com/etalab/transport-site/blob/605696a5638a1e80be27a674ba201c13f2820b81/apps/transport/lib/transport_web/controllers/backoffice/dataset_controller.ex#L10), puis convertit cette url en \"id datagouv\" comme suit:\n\n```elixir\nurl = \"https://www.data.gouv.fr/datasets/gtfs-et-gtfs-rt-reseau-tao-2022-orleans-metropole\"\n\ndatagouv_id = Datagouvfr.Client.Datasets.get_id_from_url(url)\n```\n\nÀ partir de cet id (voir [code](https://github.com/etalab/transport-site/blob/605696a5638a1e80be27a674ba201c13f2820b81/apps/transport/lib/transport/import_data.ex#L143)), une requête à l'API data gouv publique est réalisée:\n\n```elixir\nbase_url = Application.fetch_env!(:transport, :datagouvfr_site)\nurl = \"#{base_url}/api/1/datasets/#{datagouv_id}/\"\n\nresponse = HTTPoison.get!(url, [], hackney: [follow_redirect: true])\njson = Jason.decode!(response.body)\n\nresource_urls =\n  json[\"resources\"]\n  |> Enum.map(& &1[\"url\"])\n\nfirst_resource_url = resource_urls |> Enum.take(1)\n\nresource_urls\n```\n\n```elixir\n# csv content is fetched\n\n%{status_code: 200, body: body} = HTTPoison.get!(first_resource_url)\n\nOpendatasoft.UrlExtractor.get_url_from_csv(body)\n```\n"
  },
  {
    "path": "scripts/download_resource_history_files.exs",
    "content": "# NOTE: temporary script to help work locally with large amounts of GTFS.\nrequire Logger\n\nLogger.info(\"Starting...\")\n\nimport Ecto.Query\n\n# Useful notes to create the global import job later:\n# - we could look at \"last up to date\" to ensure we only have fresh data in database\n# - use gtfs_to_db once downloaded\n# - look at Transport.Jobs.BNLCToGeoData and Transport.Jobs.BaseGeoData.import_replace_data\n\ndefmodule Tooling do\n  # for each active dataset, grab all resources with a resource history.\n  def query() do\n    DB.Dataset.base_query()\n    |> DB.Resource.join_dataset_with_resource()\n    |> DB.ResourceHistory.join_resource_with_latest_resource_history()\n    |> where([resource: r], r.format == \"GTFS\")\n    |> select([resource_history: rh], rh)\n  end\nend\n\ndefmodule SyncS3LatestResourceHistory do\n  def sync!(minio_folder) do\n    Tooling.query()\n    |> DB.Repo.all()\n    # TODO: task sync max concurrency (this is slow)\n    |> Enum.each(fn rh ->\n      # create local minio bucket, if needed\n      bucket_name = Transport.S3.bucket_name(:history)\n      base_path = Path.join(minio_folder, bucket_name)\n      unless File.exists?(base_path), do: File.mkdir_p!(base_path)\n\n      # simple check based on file presence on disk\n      file_path = Path.join(base_path, rh.payload[\"filename\"])\n\n      # TODO: replace by head request\n      if File.exists?(file_path) do\n        Logger.info(\"File already downloaded, skipping...\")\n      else\n        Logger.info(\"Downloading file...\")\n        Logger.info(file_path)\n\n        %HTTPoison.Response{status_code: 200, body: body} =\n          Transport.Shared.Wrapper.HTTPoison.impl().get!(rh.payload[\"permanent_url\"])\n\n        tmp_path = System.tmp_dir!() |> Path.join(Ecto.UUID.generate())\n\n        try do\n          File.write!(tmp_path, body)\n          Transport.S3.stream_to_s3!(:history, tmp_path, rh.payload[\"filename\"], acl: :public_read)\n        after\n          File.rm(tmp_path)\n        end\n      end\n    end)\n  end\nend\n\nLogger.configure(level: :info)\n\n# # create a local S3 copy (via MinIO) of each latest ResourceHistory file so\n# # that the production database dump can be used locally with a matching local S3 file\nSyncS3LatestResourceHistory.sync!(Path.expand(\"~/data\"))\n"
  },
  {
    "path": "scripts/drop_and_recreate_database.exs",
    "content": "# Useful script if you need to reproduce migrations issues\n# such as https://github.com/etalab/transport-site/issues/4358\n\ndefmodule Command do\n  def mix_root_folder, do: Path.join(__DIR__, \"..\")\n  def run(cmd), do: {_, 0} = System.shell(cmd, cd: mix_root_folder())\nend\n\nCommand.run(\"mix ecto.drop\")\nCommand.run(\"mix ecto.create\")\nCommand.run(\"mix ecto.migrate\")\n"
  },
  {
    "path": "scripts/elixir_predicate_upgrade.exs",
    "content": "file = \"credo.json\"\n\nMix.install([\n  {:jason, \"~> 1.4\"}\n])\n\n# 4 means \"readability\" only\n# See: https://github.com/rrrene/credo/blob/master/guides/introduction/exit_statuses.md#issue-statuses\n{_, 4} = System.shell(\"mix credo --strict --format json > #{file}\")\n\ndefmodule Patcher do\n  import ExUnit.Assertions\n\n  def build_new_method_name(old_method_name) do\n    # we remove the heading \"is_\", but keep the trailing \"?\" (or add it if missing)\n    new_method_name = String.replace(old_method_name, ~r/\\Ais_/, \"\")\n    if String.ends_with?(new_method_name, \"?\"), do: new_method_name, else: new_method_name <> \"?\"\n  end\n\n  def patch_call(%{\"check\" => \"Credo.Check.Readability.PredicateFunctionNames\"} = issue) do\n    %{\n      \"check\" => \"Credo.Check.Readability.PredicateFunctionNames\",\n      \"filename\" => filename,\n      \"column\" => column,\n      \"column_end\" => column_end,\n      \"line_no\" => line_no,\n      \"trigger\" => method_name\n    } = issue\n\n    assert String.starts_with?(method_name, \"is_\")\n    new_method_name = build_new_method_name(method_name)\n\n    IO.puts(\"Replacing #{method_name} by #{new_method_name} in #{filename}:#{line_no}\")\n\n    content =\n      filename\n      |> File.read!()\n      |> String.split(\"\\n\")\n      |> Enum.with_index()\n      |> Enum.map(fn {line, index} ->\n        if index == line_no - 1 do\n          # ensure we're seeing the same thing as Credo\n          assert String.slice(line, (column - 1)..(column_end - 2)) == method_name\n          line |> String.replace(method_name, new_method_name)\n        else\n          line\n        end\n      end)\n      |> Enum.join(\"\\n\")\n\n    File.write!(filename, content)\n  end\nend\n\nfile\n|> File.read!()\n|> Jason.decode!()\n|> Map.get(\"issues\")\n|> Enum.filter(fn x -> x[\"check\"] == \"Credo.Check.Readability.PredicateFunctionNames\" end)\n|> Enum.each(fn x -> Patcher.patch_call(x) end)\n"
  },
  {
    "path": "scripts/git_diff_experiment.exs",
    "content": "Mix.install([\n  {:git_diff, \"~> 0.6.3\"},\n  {:req, \"~> 0.3.0\"},\n  {:unzip, \"~> 0.7.0\"}\n])\n\ndefmodule GTFSCompare do\n  require Logger\n\n  def maybe_download(url, local_file) do\n    unless File.exists?(local_file) do\n      Logger.info(\"Downloading #{url} to #{local_file}...\")\n      %{status: 200, body: body} = Req.get!(url, decode_body: false)\n      File.write!(local_file, body)\n    end\n  end\n\n  def maybe_unpack(local_file, local_folder) do\n    unless File.exists?(local_folder) do\n      File.mkdir!(local_folder)\n\n      {output, 0} = System.cmd(\"unzip\", [\"../\" <> local_file], cd: local_folder, stderr_to_stdout: true)\n    end\n  end\n\n  # inspired by hexdiff\n  def git_compare(base, new) do\n    case System.cmd(\"git\", [\n           \"diff\",\n           \"--no-index\",\n           \"--no-color\",\n           base,\n           new\n         ]) do\n      {\"\", 0} -> {:ok, nil}\n      {output, 1} -> {:ok, output}\n    end\n  end\nend\n\nbase =\n  \"https://transport-data-gouv-fr-resource-history-prod.cellar-c2.services.clever-cloud.com/b5873d02-043e-447a-8433-0a3be706efc8/b5873d02-043e-447a-8433-0a3be706efc8.20220607.120433.286304.zip\"\n\nnew =\n  \"https://transport-data-gouv-fr-resource-history-prod.cellar-c2.services.clever-cloud.com/b5873d02-043e-447a-8433-0a3be706efc8/b5873d02-043e-447a-8433-0a3be706efc8.20220608.180932.003492.zip\"\n\nunless File.exists?(\"downloads\"), do: File.mkdir!(\"downloads\")\n\nGTFSCompare.maybe_download(base, \"downloads/base.zip\")\nGTFSCompare.maybe_download(new, \"downloads/new.zip\")\nGTFSCompare.maybe_unpack(\"base.zip\", base_folder = \"downloads/base.zip.unpacked\")\nGTFSCompare.maybe_unpack(\"new.zip\", new_folder = \"downloads/new.zip.unpacked\")\n\nIO.puts(\"Comparing...\")\n\n{:ok, output} =\n  GTFSCompare.git_compare(\n    base_stop = base_folder <> \"/stop_times.txt\",\n    new_stop = new_folder <> \"/stop_times.txt\"\n  )\n\nif output do\n  {:ok, result} = GitDiff.parse_patch(output, relative_from: base_stop, relative_to: new_stop)\n\n  # see https://github.com/mononym/git_diff/tree/master/lib\n  result\n  |> Enum.each(fn patch ->\n    IO.puts(\"===== patch =====\")\n\n    patch.chunks\n    |> Enum.each(fn chunk ->\n      IO.puts(\"===== chunk =====\")\n\n      chunk.lines\n      |> Enum.each(fn line ->\n        color =\n          %{\n            add: :green,\n            remove: :red,\n            context: :white\n          }\n          |> Map.fetch!(line.type)\n\n        IO.puts(IO.ANSI.format([color, line.text, IO.ANSI.reset()]))\n      end)\n    end)\n  end)\nelse\n  IO.puts(\"No diff in stop times\")\nend\n"
  },
  {
    "path": "scripts/gtfs_expiry.exs",
    "content": "# exploratory script to compute start date & end date of the latest resource history\n# of each available GTFS resource, & dump them as a CSV file.\n\nimport Ecto.Query\n\ncontent =\n  DB.Resource.base_query()\n  |> where(format: \"GTFS\")\n  |> join(:left, [resource: r], rh in DB.ResourceHistory,\n    on: rh.resource_id == r.id,\n    as: :resource_history\n  )\n  |> join(:left, [resource_history: rh], mv in DB.MultiValidation,\n    on: mv.resource_history_id == rh.id,\n    as: :mv\n  )\n  |> distinct([resource: r], r.id)\n  |> order_by([resource: r, resource_history: rh],\n    asc: r.id,\n    desc: rh.inserted_at\n  )\n  |> join(:left, [mv: mv], rm in DB.ResourceMetadata, on: rm.multi_validation_id == mv.id, as: :rm)\n  # |> limit(1)\n  |> select([resource: r, rm: rm], %{\n    resource_id: r.id,\n    inserted_at: fragment(\"?::date::text\", rm.inserted_at),\n    start_date: fragment(\"?->>'start_date'\", rm.metadata),\n    end_date: fragment(\"?->>'end_date'\", rm.metadata)\n  })\n  |> DB.Repo.all()\n  |> Enum.map(fn x -> x[:end_date] end)\n  |> Enum.join(\"\\n\")\n\nFile.write!(\"gtfs-expiry-dates.csv\", content)\n"
  },
  {
    "path": "scripts/hash_compute_experiment.exs",
    "content": "import Ecto.Query, only: [from: 2]\nimport Transport.Inspect, only: [pretty_inspect: 1]\n\nquery =\n  from(u in DB.Resource,\n    select: map(u, [:id, :title, :content_hash, :last_import, :last_update, :url]),\n    #  where: u.id == 7792 or u.id == 7793,\n    order_by: :id\n  )\n\nitems =\n  query\n  |> DB.Repo.all()\n\nrequire Logger\n\nenriched_items =\n  items\n  |> Task.async_stream(\n    fn item ->\n      Logger.info(\"Computing for item #{item[:id]}...\")\n\n      try do\n        {:ok, status_and_hash} = HTTPStreamV2.fetch_status_and_hash(item[:url])\n\n        item\n        |> Map.put(:content_hash_v2, status_and_hash[:hash])\n\n        #        |> Map.put(:content_hash_v1, Hasher.compute_sha256(item[:url]))\n      rescue\n        _ -> item\n      end\n    end,\n    max_concurrency: 50,\n    timeout: 180_000\n  )\n  |> Enum.to_list()\n  |> Enum.map(fn {:ok, data} -> data end)\n  |> Enum.map(fn x ->\n    cmp = if x[:content_hash_v1] == x[:content_hash_v2], do: \"OK\", else: \"KO\"\n    Map.put(x, :check, cmp)\n  end)\n\npretty_inspect(enriched_items)\n\n# File.write!(\"intermediate.json\", Jason.encode!(enriched_items, pretty: true))\n"
  },
  {
    "path": "scripts/http_generic_testing.exs",
    "content": "Mix.install([\n  {:req, \"~> 0.3.6\"},\n  {:yaml_elixir, \"~> 2.9\"}\n])\n\nIO.puts(\"starting...\")\n\n\"config/proxy-config.yml\"\n|> File.read!()\n|> YamlElixir.read_from_string!()\n|> Map.fetch!(\"feeds\")\n|> Enum.filter(&(&1[\"type\"] == \"generic-http\"))\n|> Enum.map(&\"http://proxy.localhost:5000/resource/#{&1[\"identifier\"]}\")\n# |> IO.inspect(IEx.inspect_opts)\n# |> Enum.take(1)\n|> Enum.each(fn url ->\n  IO.puts(\"\\n============= #{url} =============\")\n\n  resp = Req.get!(url)\n\n  IO.inspect(resp.status)\n  IO.inspect(resp.headers)\n  IO.inspect(resp.body, printable_limit: 100)\nend)\n"
  },
  {
    "path": "scripts/ingest_resource_history_files.exs",
    "content": "Logger.configure(level: :info)\n\nimport Ecto.Query\n\ndefmodule Report do\n  def report(data_import_batch_id) do\n    DB.Repo.get_by(DB.DataImportBatch, id: data_import_batch_id).summary[\"result\"]\n  end\nend\n\nbatch_id =\n  unless System.get_env(\"SKIP_IMPORT\") == \"1\" do\n    %{data_import_batch_id: batch_id} = Transport.Jobs.GTFSImportStopsJob.refresh_all()\n    batch_id\n  else\n    %{id: batch_id} = DB.Repo.one(from(dib in DB.DataImportBatch, order_by: [desc: dib.id], limit: 1))\n    batch_id\n  end\n\nReport.report(batch_id)\n|> IO.inspect(IEx.inspect_opts())\n"
  },
  {
    "path": "scripts/internal_zip_checksum_experiment.exs",
    "content": "Mix.install([\n  {:req, \"~> 0.2.0\"},\n  {:unzip, \"~> 0.6.0\"}\n])\n\ndefmodule ZipMetaDataExtractor do\n  @moduledoc \"\"\"\n  A module to extract the metadata out of a zip file on disk. It relies on `unzip`\n  which is able to stream the content of each file, allowing us to easily compute a\n  SHA256 for each entry.\n  \"\"\"\n  def extract!(file) do\n    zip_file = Unzip.LocalFile.open(file)\n    {:ok, unzip} = Unzip.new(zip_file)\n    # NOTE: `unzip.cd_list` contains crc + filenames & more info, if needed\n    unzip\n    |> Unzip.list_entries()\n    |> Enum.map(&enrich(&1, unzip))\n  end\n\n  def enrich(entry, unzip) do\n    algorithm = :sha256\n\n    checksum =\n      unzip\n      |> Unzip.file_stream!(entry.file_name)\n      |> compute_checksum(algorithm)\n\n    Map.put(entry, algorithm, checksum)\n  end\n\n  def compute_checksum(stream, algorithm) do\n    stream\n    |> Enum.reduce(:crypto.hash_init(algorithm), fn elm, acc -> :crypto.hash_update(acc, elm) end)\n    |> :crypto.hash_final()\n    |> Base.encode16()\n    |> String.downcase()\n  end\nend\n\ndefmodule DemoDownload do\n  @moduledoc \"\"\"\n  A quick helper to download a given file on disk\n  \"\"\"\n  def download do\n    IO.puts(\"Starting....\")\n\n    url = \"https://zenbus.net/gtfs/static/download.zip?dataset=fontenay\"\n\n    response =\n      Req.build(:get, url)\n      |> Req.run!()\n\n    IO.inspect(response, IEx.inspect_opts())\n\n    timestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n    filename = \"save-#{timestamp}.zip\"\n    IO.puts(\"Writing #{filename}...\")\n    File.write!(filename, response.body)\n  end\nend\n\n# Uncomment and run twice to get files with different external checksums,\n# but same content inside\n# DemoDownload.download()\n\nPath.wildcard(\"save-*.zip\")\n|> Enum.map(&ZipMetaDataExtractor.extract!/1)\n|> IO.inspect(IEx.inspect_opts())\n"
  },
  {
    "path": "scripts/irve/.gitignore",
    "content": "cache-dir\n"
  },
  {
    "path": "scripts/irve/analyze-irve.exs",
    "content": "#! /usr/bin/env mix run\n\n# the basis of a mass-analysis script for IRVE files,\n# inspired by https://github.com/etalab/notebooks/blob/master/irve-v2/consolidation-irve-v2.ipynb\n\nrequire Logger\n\nLogger.info(\"Retrieving each relevant datagouv page & listing resources\")\n\nresources = Transport.IRVE.Extractor.datagouv_resources()\n\nLogger.info(\"Sharing a few stats...\")\n\nif System.get_env(\"SHOW_STATS\") == \"1\" do\n  IO.puts(\"=== Sample ===\")\n  resources |> Enum.take(2) |> IO.inspect(IEx.inspect_opts())\n\n  IO.puts(\"=== Stats ===\")\n  IO.inspect(%{count: resources |> length}, IEx.inspect_opts() |> Keyword.put(:label, \"total_count\"))\n\n  # M'a aidé à me rendre compte que.. un gros paquet est invalide!\n  resources\n  |> Enum.frequencies_by(fn x -> x[:valid] end)\n  |> IO.inspect(IEx.inspect_opts() |> Keyword.put(:label, \"group_by(:valid)\"))\n\n  resources\n  |> Enum.frequencies_by(fn x -> x[:valid] end)\n  |> Enum.map(fn {_, v} -> ((100 * v / (resources |> length)) |> trunc() |> to_string) <> \"%\" end)\n  |> IO.inspect(IEx.inspect_opts() |> Keyword.put(:label, \"group_by(:valid) as %\"))\n\n  # M'a aidé à me rendre compte que... il y avait plusieurs schémas, car on recherche par \"dataset\",\n  # mais après on travaille au niveau ressources, et donc on cherche par le \"schéma de chaque ressource du dataset\",\n  # ce qui fait qu'il y a des choses en trop.\n  resources\n  |> Enum.frequencies_by(fn x -> x[:schema_name] end)\n  |> IO.inspect(IEx.inspect_opts() |> Keyword.put(:label, \"group_by(:schema_name)\"))\n\n  resources\n  |> Enum.frequencies_by(fn x -> x[:schema_version] end)\n  |> IO.inspect(IEx.inspect_opts() |> Keyword.put(:label, \"group_by(:schema_version)\"))\n\n  resources\n  |> Enum.frequencies_by(fn x -> x[:filetype] end)\n  |> IO.inspect(IEx.inspect_opts() |> Keyword.put(:label, \"group_by(:filetype)\"))\nend\n\nLogger.info(\"Fetching each IRVE resource so that we can retrieve PDC count... (must be parallelized, otherwise awful)\")\n\nresources = Transport.IRVE.Extractor.download_and_parse_all(resources)\n\nLogger.info(\"Inserting report in DB...\")\n\nTransport.IRVE.Extractor.insert_report!(resources)\n\nLogger.info(\"Doing more stats...\")\n\nresources\n# |> Enum.filter(fn x -> x[:id_pdc_itinerance_detected] == true && x[:old_schema] == true end)\n|> Enum.frequencies_by(fn x -> Map.take(x, [:id_pdc_itinerance_detected, :old_schema]) end)\n|> IO.inspect()\n\nrecent_stuff =\n  resources\n  |> Enum.filter(fn x -> x[:id_pdc_itinerance_detected] end)\n\nrecent_stuff\n|> Enum.frequencies_by(fn x -> x[:valid] end)\n|> IO.inspect(IEx.inspect_opts() |> Keyword.put(:label, \"group_by(:valid)\"))\n\nrecent_stuff\n|> Enum.filter(fn x -> x[:valid] == false end)\n|> Enum.sort_by(fn x -> -x[:line_count] end)\n|> Enum.map(fn x -> {x[:line_count], \"https://www.data.gouv.fr/fr/datasets/\" <> x[:dataset_id]} end)\n|> IO.inspect(limit: :infinity)\n\nIO.puts(\"Done\")\n"
  },
  {
    "path": "scripts/irve/difference.exs",
    "content": "# mix run scripts/irve/difference.exs\n\nrequire Explorer.DataFrame\n\nlocal_datagouv_path = \"cache-dir/consolidation-data-gouv.csv\"\nlocal_transport_consolidation_path = \"consolidation_transport_avec_doublons_irve_statique.csv\"\n\ndatagouv_df = Explorer.DataFrame.from_csv!(local_datagouv_path, infer_schema_length: nil)\n\ntransport_df = Explorer.DataFrame.from_csv!(local_transport_consolidation_path, infer_schema_length: nil)\n\nlist_of_datagouv_ids =\n  datagouv_df[\"datagouv_resource_id\"]\n  |> Explorer.Series.distinct()\n  |> Explorer.Series.to_list()\n  |> MapSet.new()\n\nlist_of_simple_consolidation_ids =\n  transport_df[\"datagouv_resource_id\"]\n  |> Explorer.Series.distinct()\n  |> Explorer.Series.to_list()\n  |> MapSet.new()\n\nonly_in_datagouv = MapSet.difference(list_of_datagouv_ids, list_of_simple_consolidation_ids)\n\nIO.inspect(MapSet.size(only_in_datagouv), label: \"Only in datagouv consolidation\")\n\n# Filter the dataframe with only the datagouv_resource_id found in only_in_datagouv\nfiltered_df =\n  datagouv_df\n  |> Explorer.DataFrame.filter(\n    Explorer.Series.in(datagouv_resource_id, Explorer.Series.from_list(MapSet.to_list(^only_in_datagouv)))\n  )\n\n# Group by datagouv_resource_id and count the number of lines for each id\nlines_per_id =\n  filtered_df\n  |> Explorer.DataFrame.group_by([\"datagouv_resource_id\", \"datagouv_dataset_id\", \"datagouv_organization_or_owner\"])\n  |> Explorer.DataFrame.summarise(line_count: Explorer.Series.size(datagouv_resource_id))\n  |> Explorer.DataFrame.sort_by(desc: line_count)\n\nIO.puts(\"\\nNumber of lines per datagouv_resource_id (only those in datagouv but not in simple consolidation):\")\n\nExplorer.DataFrame.print(lines_per_id, limit: :infinity)\n"
  },
  {
    "path": "scripts/irve/dump-simple-consolidation.exs",
    "content": "# mix run scripts/irve/dump-simple-consolidation.exs\n# script to dump `DB.IRVEValidPDC` table into a local CSV\n# (then you can use `stats.exs` to include it into the comparison with previous consolidations)\n\ntarget = Path.join(__DIR__, \"../../cache-dir/simple-consolidation.csv\")\n\nIO.puts(\"Saving to #{target}\")\nTransport.IRVE.DatabaseExporter.export_to_csv(target)\n"
  },
  {
    "path": "scripts/irve/dyn-analysis.exs",
    "content": "# Quick generator of Validata links for every feed currently configured in the\n# dynamic IRVE proxy config. Run it to audit each feed's compliance against the\n# `schema-irve-dynamique` schema without manually crafting URLs.\n\nMix.install([\n  {:req, \"~> 0.5.15\"},\n  {:explorer, \"~> 0.11.0\"},\n  {:yaml_elixir, \"~> 2.12\"}\n])\n\npath = Path.join(__DIR__, \"../../../transport-proxy-config/proxy-config.yml\") |> Path.expand()\n\npath\n|> YamlElixir.read_from_file!()\n|> Map.fetch!(\"feeds\")\n|> Enum.filter(&(&1[\"identifier\"] == \"consolidation-nationale-irve-dynamique\"))\n|> then(fn [config] -> config end)\n|> Map.fetch!(\"feeds\")\n|> Enum.each(fn %{\"identifier\" => id, \"slug\" => slug, \"target_url\" => url} ->\n  IO.puts(slug)\n\n  options = %{\n    \"input\" => \"url\",\n    \"schema_name\" => \"schema-datagouvfr.etalab/schema-irve-dynamique\",\n    \"url\" => url\n  }\n\n  validata_url = \"https://validata.fr/table-schema?\" <> URI.encode_query(options)\n  IO.puts(validata_url)\n\n  #  IO.puts \"https://validata.fr/table-schema?input=url&schema_name=schema-datagouvfr.etalab%2Fschema-irve-dynamique&schema_ref=&url=https%3A%2F%2Fwww.data.gouv.fr%2Fapi%2F1%2Fdatasets%2Fr%2F411443b1-6667-473f-8217-1c57c167408f\"\nend)\n"
  },
  {
    "path": "scripts/irve/dynamic-irve.exs",
    "content": "my_app_root = Path.join(__DIR__, \"../..\")\n\ndefmodule CacheDir do\n  def cache_dir, do: Path.join(__ENV__.file, \"../cache-dir\") |> Path.expand()\nend\n\ncache_dir = CacheDir.cache_dir()\n\nif !File.exists?(cache_dir), do: File.mkdir(cache_dir)\n\nuse_cache =\n  case System.get_env(\"CACHE\", \"NONE\") do\n    \"NONE\" ->\n      IO.puts(\"Cache set to :none\")\n      :none\n\n    \"LOW\" ->\n      IO.puts(\n        \"Cache set to :partial - only data gouv pagination will be cached (you might need to `rm -rf #{cache_dir}`)\"\n      )\n\n      :partial\n\n    \"ALL\" ->\n      IO.puts(\"Cache set to :all - everything is cached (you might need to `rm -rf #{cache_dir}`)\")\n      :all\n  end\n\n# hybrid setup to rely on the whole app setup but increment with a specificy dependency\nMix.install(\n  [\n    {:my_app, path: my_app_root, env: :dev},\n    {:table_rex, \"~> 4.0\"}\n  ],\n  config_path: Path.join(my_app_root, \"config/config.exs\"),\n  lockfile: Path.join(my_app_root, \"mix.lock\")\n)\n\nparams = %{\n  page: 1,\n  page_size: 500,\n  schema: \"etalab/schema-irve-dynamique\"\n}\n\nurl = \"https://www.data.gouv.fr/api/1/datasets/?#{URI.encode_query(params)}\"\n\ndefmodule Query do\n  def cached_get!(url, options \\\\ []) do\n    options = [\n      decode_body: options |> Keyword.get(:decode_body, true),\n      enable_cache: options |> Keyword.get(:enable_cache, false)\n    ]\n\n    options =\n      if options[:enable_cache] do\n        Keyword.merge(options, custom_cache_dir: CacheDir.cache_dir())\n      else\n        options\n      end\n\n    Transport.HTTPClient.get!(url, options)\n  end\nend\n\n# disabling cache by default because one dataset is refreshed very frequently, caching leads to 404\n# but letting the CLI decide if this must be cached via `CACHE=LOW` or `ALL`\n%{status: 200, body: datasets} = Query.cached_get!(url, enable_cache: use_cache != :none)\n\n# ensure there is only one page + grab the data\nunless is_nil(datasets[\"next_page\"]), do: raise(\"should not have next page\")\n\nresources =\n  datasets[\"data\"]\n  |> Enum.flat_map(fn dataset ->\n    # IO.inspect(dataset, IEx.inspect_opts())\n\n    dataset[\"resources\"]\n    |> Enum.filter(fn r -> r[\"schema\"][\"name\"] == \"etalab/schema-irve-dynamique\" end)\n    |> Enum.map(fn r ->\n      r\n      |> Map.put(\"dataset_id\", dataset[\"id\"])\n      |> Map.put(\"dataset_url\", dataset[\"page\"])\n      |> Map.put(\"organization\", dataset[\"organization\"][\"name\"])\n      |> Map.put(\"valid\", get_in(r, [\"extras\", \"validation-report:valid_resource\"]))\n      |> Map.put(\"validation_date\", get_in(r, [\"extras\", \"validation-report:validation_date\"]))\n      |> Map.put(\"schema_name\", get_in(r, [\"schema\", \"name\"]))\n      |> Map.put(\"schema_version\", get_in(r, [\"schema\", \"version\"]))\n    end)\n  end)\n  |> Enum.reject(fn r ->\n    # https://www.data.gouv.fr/en/datasets/exemple-jeu-de-donnees-points-de-recharge-de-xxxxxx-donnees-statiques-et-dynamiques/\n    # a fake dataset with non existent url donnesdynamiquesIRVE.fr\n    r[\"id\"] == \"5ef6ddff-2f98-4300-9e6e-1b47ea4ab779\"\n  end)\n\ndefmodule IRVECheck do\n  def get_body(url, options \\\\ []) do\n    enable_cache = Keyword.get(options, :enable_cache, false)\n    # control the decoding ourselves ; by default Req would decode via CSV itself\n    %{status: status, body: body} = Query.cached_get!(url, decode_body: false, enable_cache: enable_cache)\n\n    if status != 200 do\n      Mix.shell().error(\"Failed to fetch data for #{url} (http_status=#{status}), halting!\")\n      System.halt(1)\n    end\n\n    body\n  end\n\n  def parse_csv(body) do\n    [body]\n    |> CSV.decode!(headers: true)\n    |> Enum.to_list()\n  end\n\n  def get_headers(body) do\n    [body]\n    # quick first decode to get the headers, even if the file has no rows\n    |> CSV.decode!(headers: false)\n    |> Enum.take(1)\n    |> List.first()\n  end\n\n  def is_dynamic_irve?(headers) do\n    \"id_pdc_itinerance\" in headers && \"etat_pdc\" in headers\n  end\n\n  def time_window(rows) do\n    data =\n      rows\n      |> Enum.map(fn x -> (x[\"horodatage\"] || \"???\") |> String.slice(0, 10) end)\n      |> Enum.to_list()\n      |> Enum.sort()\n\n    {List.first(data), List.last(data), Enum.count(data)}\n  end\nend\n\n# very brittle (false positives & false negatives) at the moment, but helped me a bit already\n# Waiting for feedback on https://github.com/frictionlessdata/frictionless-py/issues/1646\ndefmodule FrictionlessValidator do\n  @latest_dynamic_irve_schema \"https://schema.data.gouv.fr/schemas/etalab/schema-irve-dynamique/latest/schema-dynamique.json\"\n\n  def validate(file_url, schema \\\\ @latest_dynamic_irve_schema) do\n    cmd = \"frictionless\"\n    # NOTE: I tried using `--schema-sync` as an attempt to avoid failure\n    # when an optional field column's header is missing.\n    args = [\"validate\", file_url, \"--schema\", schema, \"--json\", \"--format\", \"csv\"]\n    # IO.puts [cmd, args] |> List.flatten() |> Enum.join(\" \")\n\n    {output, result} = System.cmd(cmd, args)\n\n    case result do\n      0 ->\n        {:ok, Jason.decode!(output)}\n\n      1 ->\n        {:error, Jason.decode!(output)}\n    end\n  end\n\n  # quick and dirty parsing\n  def errors_summary(output) do\n    output[\"tasks\"]\n    |> Enum.map(& &1[\"errors\"])\n    |> List.flatten()\n    |> Enum.map(& &1[\"message\"])\n    |> Enum.take(5)\n  end\n\n  # See https://github.com/frictionlessdata/frictionless-py/issues/1646\n  # Frictionless will generate a \"valid\" report for files it did not actually\n  # look at it full. As a temporary work-around, I noticed that when this\n  # happens, the `labels` field is an empty array, whereas when validation did\n  # occur for real, it contains the fields we expect. So this heuristic leverages\n  # that empiric observation to try to work-around that uncertainty.\n  def did_validation_really_occur?(output) do\n    %{\n      \"tasks\" => [\n        %{\n          \"labels\" => labels\n        }\n      ]\n    } = output\n\n    \"id_pdc_itinerance\" in labels\n  end\n\n  def really_valid?(output) do\n    did_validation_really_occur?(output) &&\n      match?(%{\"errors\" => 0, \"warnings\" => 0}, output[\"stats\"])\n  end\nend\n\nIO.puts(\"========== #{resources |> length()} candidates ==========\\n\\n\")\n\nrows =\n  resources\n  |> Enum.reject(&(&1[\"id\"] == \"5e18be8c-475c-49e3-ad7c-f6c08308e5c5\"))\n  |> Enum.reject(&(&1[\"id\"] == \"5259635d-83d6-4b7b-acfc-b503b660a259\"))\n  |> Enum.reject(&(&1[\"id\"] == \"514d529a-c961-4862-9d20-49fdf499a9aa\"))\n  |> Enum.map(fn r ->\n    IO.puts(\"Processing #{r[\"id\"]} (#{r[\"dataset_url\"]} by #{r[\"organization\"]}) - r_url=#{r[\"url\"]} ...\")\n    body = IRVECheck.get_body(r[\"url\"], enable_cache: use_cache == :all)\n    rows = IRVECheck.parse_csv(body)\n    headers = IRVECheck.get_headers(body)\n\n    {local_valid, validation_output} = FrictionlessValidator.validate(r[\"url\"])\n\n    really_local_valid = FrictionlessValidator.really_valid?(validation_output)\n    output_file = CacheDir.cache_dir() |> Path.join(\"dyn-irve-\" <> r[\"id\"])\n\n    File.write!(\n      output_file,\n      validation_output |> Jason.encode!() |> Jason.Formatter.pretty_print()\n    )\n\n    %{\n      dataset_id: r[\"dataset_id\"],\n      dataset_url: r[\"dataset_url\"],\n      r_id: r[\"id\"],\n      download_url: \"https://www.data.gouv.fr/api/1/datasets/r/#{r[\"id\"]}\",\n      organization: r[\"organization\"],\n      resource_url: r[\"url\"],\n      dyn_irve_likely: IRVECheck.is_dynamic_irve?(headers),\n      time_window: IRVECheck.time_window(rows),\n      rows: rows |> length(),\n      valid: r[\"valid\"],\n      local_valid: local_valid,\n      really_local_valid: really_local_valid,\n      frictionless_output_file: output_file,\n      v_date: r[\"validation_date\"],\n      schema_name: r[\"schema_name\"],\n      schema_version: r[\"schema_version\"],\n      local_validation_errors: FrictionlessValidator.errors_summary(validation_output),\n      local_validation_stats: validation_output |> Map.fetch!(\"stats\")\n    }\n  end)\n\nIO.inspect(rows, IEx.inspect_opts())\n\ndefmodule Display do\n  def print_table(data, columns, opts \\\\ []) do\n    sort_key = Keyword.get(opts, :sort_key, :rows)\n    title = Keyword.get(opts, :title)\n    sorted = Enum.sort_by(data, & &1[sort_key], :desc)\n    headers = columns |> Enum.map(&to_string/1)\n\n    table_rows =\n      sorted\n      |> Enum.map(fn row ->\n        columns |> Enum.map(fn col -> row[col] |> inspect() end)\n      end)\n\n    TableRex.quick_render!(table_rows, headers, title)\n    |> IO.puts()\n  end\nend\n\nDisplay.print_table(\n  rows,\n  [\n    :organization,\n    :r_id,\n    :dyn_irve_likely,\n    :rows,\n    :valid,\n    :local_valid,\n    :really_local_valid,\n    :v_date,\n    :schema_name,\n    :schema_version\n  ],\n  title: \"Ressources potentielles IRVE dynamiques (taille estimée décroissante)\"\n)\n\nDisplay.print_table(\n  rows,\n  [\n    :organization,\n    :dyn_irve_likely,\n    :rows,\n    :download_url,\n    :dataset_url,\n    :valid\n  ],\n  title: \"Ressources potentielles IRVE dynamiques (taille estimée décroissante, moins de colonnes)\"\n)\n\nexploded_rows =\n  rows\n  |> Enum.flat_map(fn r ->\n    r[:local_validation_errors]\n    |> Enum.map(fn x -> r |> Map.put(:one_error, x) end)\n  end)\n\nDisplay.print_table(\n  exploded_rows,\n  [\n    :organization,\n    :rows,\n    :local_valid,\n    :really_local_valid,\n    :one_error\n  ],\n  title: \"Erreurs de validation détaillées (une ligne par erreur par ressource)\"\n)\n\nrows =\n  rows\n  |> Enum.map(fn r ->\n    Map.update!(r, :local_validation_stats, &inspect/1)\n  end)\n\nDisplay.print_table(rows, [\n  :organization,\n  :rows,\n  :local_valid,\n  :local_validation_stats,\n  :frictionless_output_file\n])\n\n# Generate YAML config for qualifying resources\nyaml_rows =\n  rows\n  |> Enum.filter(fn r -> r[:rows] > 80 && r[:dyn_irve_likely] == true && r[:valid] == true end)\n  |> Enum.sort_by(& &1[:rows], :desc)\n\nIO.puts(\"\\n========== Configuration YAML ==========\\n\")\n\nyaml_rows\n|> Enum.each(fn r ->\n  slug = r[:organization] |> String.downcase() |> String.replace(~r/[^a-z0-9]+/, \"-\") |> String.trim(\"-\")\n\n  IO.puts(\"\"\"\n        - identifier: #{r[:dataset_id]}\n          slug: #{slug}\n          target_url: #{r[:download_url]}\\\n  \"\"\")\nend)\n"
  },
  {
    "path": "scripts/irve/horodatage-formats.exs",
    "content": "# Quick audit of `horodatage` timestamp formats across all upstream feeds in the\n# dynamic IRVE consolidated output. Replaces digits with `D` to surface the shape\n# of each timestamp, then groups by origin to see which feed uses which format —\n# useful before deciding on normalization rules.\n\nMix.install([\n  {:req, \"~> 0.5.15\"},\n  {:explorer, \"~> 0.11.0\"}\n])\n\ndefmodule HorodatageAnalysis do\n  require Explorer.DataFrame\n  alias Explorer.{DataFrame, Series}\n\n  def run do\n    url = \"http://proxy.localhost:5000/resource/consolidation-nationale-irve-dynamique?include_origin=1\"\n\n    IO.puts(\"Fetching consolidated feed...\")\n    %{status: 200, body: body} = Req.get!(url, decode_body: false)\n\n    df = DataFrame.load_csv!(body, infer_schema_length: 0)\n    IO.puts(\"#{DataFrame.n_rows(df)} rows loaded\\n\")\n\n    patterns =\n      df[\"horodatage\"]\n      |> Series.to_list()\n      |> Enum.map(fn s -> String.replace(s, ~r/\\d/, \"D\") end)\n      |> Series.from_list()\n\n    df = DataFrame.put(df, \"pattern\", patterns)\n\n    IO.puts(\"=== Counts by origin + pattern ===\\n\")\n\n    df\n    |> DataFrame.group_by([\"origin\", \"pattern\"])\n    |> DataFrame.summarise(count: count(col(\"id_pdc_itinerance\")))\n    |> DataFrame.sort_by(asc: col(\"origin\"), desc: col(\"count\"))\n    |> DataFrame.print(limit: :infinity)\n\n    IO.puts(\"\\n=== One example per pattern ===\\n\")\n\n    df\n    |> DataFrame.distinct([\"pattern\"], keep_all: true)\n    |> DataFrame.select([\"origin\", \"pattern\", \"horodatage\"])\n    |> DataFrame.sort_by(asc: col(\"origin\"))\n    |> DataFrame.print(limit: :infinity)\n  end\nend\n\nHorodatageAnalysis.run()\n"
  },
  {
    "path": "scripts/irve/process-one.exs",
    "content": "# a handy script to download a single IRVE URL, and try to read it as data frame,\n# without having to go through the whole consolidation process.\n\nurl = \"https://www.data.gouv.fr/fr/datasets/r/df320cfa-6fca-4489-a652-328945897f21\"\n\n%{status: 200, body: body} = Transport.IRVE.RawStaticConsolidation.download_resource_content!(url)\n\nTransport.IRVE.RawStaticConsolidation.run_cheap_blocking_checks(body, \".csv\")\n\noutput = Transport.IRVE.Processing.read_as_data_frame(body)\n\nIO.inspect(output, IEx.inspect_opts())\n"
  },
  {
    "path": "scripts/irve/process-raw-static-consolidation.exs",
    "content": "# mix run scripts/irve/process-raw-static-consolidation.exs\n#\n# LIMIT=5 mix run scripts/irve/process-raw-static-consolidation.exs\n\nlimit = System.get_env(\"LIMIT\") |> then(&if &1, do: String.to_integer(&1))\n\nTransport.Jobs.IRVERawConsolidationJob.perform(%Oban.Job{args: %{limit: limit}})\n\nIO.puts(\"\"\"\n ╔═════════════════════════╗\n ║     Done ! Oh Yeah.     ║\n ╚═════════════════════════╝\n\"\"\")\n"
  },
  {
    "path": "scripts/irve/process-simple-consolidation.exs",
    "content": "# mix run scripts/irve/process-simple-consolidation.exs\n# Options:\n# --destination : values \"local_disk\" or \"send_to_s3\" (default: \"send_to_s3\")\n# --erase-existing-data: values \"all\", \"partial\", or \"none\" (default: \"none\")\n# --debug : if present, will print a summary of the report at the end and log each processed item\n# Advised dev use:\n# mix run scripts/irve/process-simple-consolidation.exs --destination local_disk --erase-existing-data all --debug\n\nimport Ecto.Query\nLogger.configure(level: :info)\nimport Ecto.Query\n\n{opts, _args} =\n  OptionParser.parse!(System.argv(),\n    strict: [\n      debug: :boolean,\n      destination: :string,\n      erase_existing_data: :string,\n      limit: :integer\n    ]\n  )\n\n# Set default options in case of missing option (won’t override provided ones even invalid, but strict matching later)\nopts =\n  Keyword.validate!(opts,\n    destination: \"send_to_s3\",\n    erase_existing_data: \"none\",\n    limit: nil,\n    debug: false\n  )\n\nerase_existing_data = opts[:erase_existing_data]\ndebug = opts[:debug]\nlimit = opts[:limit]\ndestination = opts[:destination]\n\nIO.inspect(opts, label: \"options\")\n\ndestination =\n  if destination in [\"local_disk\", \"send_to_s3\"] do\n    String.to_atom(destination)\n  else\n    raise(ArgumentError, \"Invalid destination option\")\n  end\n\nIO.puts(\"========= counts before import =========\")\n\n# reusable function that we call before + after the processing\ndisplay_counts = fn ->\n  IO.puts(\"Number of valid PDCs now in database: #{DB.IRVEValidPDC |> DB.Repo.aggregate(:count)}\")\n  unique_count = DB.Repo.one(from(p in DB.IRVEValidPDC, select: count(p.id_pdc_itinerance, :distinct)))\n  IO.puts(\"Number of unique `id_pdc_itinerance` now in base: #{unique_count}\")\n\n  IO.puts(\"Number of valid files in database: #{DB.IRVEValidFile |> DB.Repo.aggregate(:count)}\")\nend\n\ndisplay_counts.()\n\ncase erase_existing_data do\n  \"all\" ->\n    IO.puts(\"Erasing all existing IRVE valid files and PDCs...\")\n    DB.Repo.delete_all(DB.IRVEValidFile)\n\n  \"partial\" ->\n    IO.puts(\"Erasing some existing IRVE valid files and PDCs…\")\n\n    DB.Repo.delete_all(\n      from(f in DB.IRVEValidFile,\n        where: f.id in subquery(from(f2 in DB.IRVEValidFile, select: f2.id, limit: 100))\n      )\n    )\n\n  \"none\" ->\n    IO.puts(\"Keeping existing data...\")\nend\n\n{:ok, report_df} = Transport.IRVE.SimpleConsolidation.process(destination: destination, debug: debug, limit: limit)\n\nif debug do\n  report_df[\"status\"]\n  |> Explorer.Series.frequencies()\n  |> IO.inspect(IEx.inspect_opts())\nend\n\nIO.puts(\"========= processing done - counts after import =========\")\n\ndisplay_counts.()\n"
  },
  {
    "path": "scripts/irve/report-on-simple-consolidation.exs",
    "content": "require Explorer.DataFrame, as: DF\n\nreport_df =\n  Path.join(__DIR__, \"../../consolidation_transport_avec_doublons_irve_statique_rapport.csv\")\n  |> DF.from_csv!()\n\n# general report\nreport_df\n|> DF.mutate(error_message_trunc: re_replace(error_message, \"\\n.*\", \"\"))\n|> DF.mutate(error_message_trunc: substring(error_message_trunc, 0, 70))\n|> DF.mutate(error_type_trunc: substring(error_type, 0, 18))\n|> DF.group_by([:status, :error_type_trunc, :error_message_trunc])\n|> DF.summarise(est_pdc_count: sum(estimated_pdc_count))\n|> DF.sort_by(desc: est_pdc_count)\n|> DF.print(limit: :infinity)\n\n# report for files considered as invalid\nreport_df\n|> DF.filter(status == \"not_compliant_with_schema\")\n|> DF.select([:dataset_id, :resource_id, :dataset_title, :estimated_pdc_count, :status])\n|> DF.sort_by(desc: estimated_pdc_count)\n|> DF.print(limit: 20)\n"
  },
  {
    "path": "scripts/irve/stats.exs",
    "content": "Mix.install([\n  {:req, \"~> 0.5.15\"},\n  {:explorer, \"~> 0.11.0\"}\n])\n\nsources = [\n  {\"https://proxy.transport.data.gouv.fr/resource/consolidation-transport-avec-doublons-irve-statique\",\n   \"consolidation-transport-avec-doublons-irve-statique.csv\", :datagouv_resource_id},\n  {\"https://proxy.transport.data.gouv.fr/resource/consolidation-nationale-irve-statique-brute-v1\",\n   \"consolidation-nationale-irve-statique-brute-v1.csv\", :original_resource_id},\n  {\"https://www.data.gouv.fr/fr/datasets/r/eb76d20a-8501-400e-b336-d85724de5435\", \"consolidation-data-gouv.csv\",\n   :datagouv_resource_id},\n  {\"https://proxy.transport.data.gouv.fr/resource/consolidation-nationale-irve-dynamique?include_source=1\",\n   \"dynamic-irve.csv\", :slug}\n  # # generate with `mix run dump-simple-consolidation.exs`\n  # {:on_disk, \"simple-consolidation.csv\", :datagouv_resource_id}\n]\n\ndefmodule Stats do\n  require Explorer.DataFrame\n\n  def compute(file) do\n    df = Explorer.DataFrame.from_csv!(file, infer_schema_length: nil)\n\n    count = df[\"id_pdc_itinerance\"] |> Explorer.Series.size()\n    distinct_count = df[\"id_pdc_itinerance\"] |> Explorer.Series.distinct() |> Explorer.Series.size()\n    duplicates = count - distinct_count\n\n    %{\n      count: count,\n      distinct_count: distinct_count,\n      duplicates: duplicates\n    }\n  end\n\n  def cached_download!(url, file) do\n    # IO.puts \"#{url} : #{file}\"\n    # File.rm!(file)\n    unless File.exists?(file) do\n      %{status: 200} = Req.get!(url, into: File.stream!(file))\n    end\n  end\n\n  def inspect(result, label \\\\ nil) do\n    options =\n      IEx.inspect_opts()\n      |> Keyword.put(:label, label)\n      |> Keyword.put(:width, 0)\n\n    IO.inspect(result, options)\n  end\n\n  def get_resource_id_series({filename, column_atom}) do\n    df = Explorer.DataFrame.from_csv!(filename, infer_schema_length: nil)\n    column = Atom.to_string(column_atom)\n    df[column]\n  end\n\n  def local_path(identifier), do: Path.join(__DIR__, \"../../cache-dir/#{identifier}\")\n\n  def maybe_download(:on_disk, _local_path), do: nil\n  def maybe_download(url, local_path), do: Stats.cached_download!(url, local_path)\n\n  def compute_stats({url_or_atom, identifier, _resource_id_column}) do\n    local_path = local_path(identifier)\n    maybe_download(url_or_atom, local_path)\n\n    Stats.compute(local_path)\n    |> Map.put(:path, local_path |> Path.basename())\n  end\nend\n\nsources\n|> Enum.map(&Stats.compute_stats(&1))\n|> Explorer.DataFrame.new()\n|> Explorer.DataFrame.select([:path, :count, :distinct_count, :duplicates])\n|> Explorer.DataFrame.print()\n"
  },
  {
    "path": "scripts/irve/validate.exs",
    "content": "test_resources = [\n  # https://www.data.gouv.fr/datasets/infrastructures-de-recharge-pour-vehicules-electriques-donnees-ouvertes/\n  # %{url: \"https://proxy.transport.data.gouv.fr/resource/qualicharge-irve-statique\"},\n  # https://www.data.gouv.fr/datasets/base-nationale-des-irve-infrastructures-de-recharge-pour-vehicules-electriques/\n  # %{url: \"https://www.data.gouv.fr/api/1/datasets/r/eb76d20a-8501-400e-b336-d85724de5435\"},\n  # https://www.data.gouv.fr/datasets/fichier-irve-gireve\n  %{url: \"https://www.data.gouv.fr/api/1/datasets/r/61387a4e-22f7-4662-b241-d5cac4dd91fd\"},\n  # Froth https://www.data.gouv.fr/datasets/bornes-de-recharges-reseau-froth\n  %{url: \"https://www.data.gouv.fr/api/1/datasets/r/20e9f13e-a3d4-470a-a356-5714b91cddce\"},\n  # Total energies https://www.data.gouv.fr/datasets/bornes-de-recharge-pour-vehicules-electriques-7\n  %{url: \"https://www.data.gouv.fr/api/1/datasets/r/17bdbce9-8a82-4322-a5e5-675c78a33281\"}\n]\n\ncache_dir = Path.join(__DIR__, \"../../cache-dir\")\nFile.mkdir_p!(cache_dir)\n\ntest_resources\n|> Enum.each(fn %{url: url} ->\n  path = Path.join(cache_dir, \"download-\" <> Path.basename(url))\n\n  if !File.exists?(path) do\n    IO.puts(\"Downloading #{path}\")\n    Req.get!(url, into: File.stream!(path))\n  else\n    IO.puts(\"#{path} already there\")\n  end\n\n  Transport.LogTimeTaken.log_time_taken(\"Validating #{path}\", fn ->\n    IO.puts(\"Starting validating downloaded copy of #{url} (#{path})…\")\n    df = Transport.IRVE.Validator.validate(path)\n\n    IO.puts(\"Is the full file valid? #{df |> Transport.IRVE.Validator.full_file_valid?()}\")\n\n    IO.puts(\"Validation summary (how many rows are valid or invalid):\")\n\n    df[\"check_row_valid\"]\n    |> Explorer.Series.frequencies()\n    |> IO.inspect(IEx.inspect_opts())\n\n    report_columns = Transport.IRVE.StaticIRVESchema.field_names_list() |> Enum.map(&\"check_column_#{&1}_valid\")\n\n    columns_with_false =\n      report_columns\n      |> Enum.reject(fn col ->\n        df[col]\n        |> Explorer.Series.all?()\n      end)\n\n    IO.puts(\"Columns with at least one invalid value: #{inspect(columns_with_false)}\")\n\n    report_path = Path.rootname(path) <> \"-validation-report.csv\"\n    IO.puts(\"Writing validation report to #{report_path}\")\n\n    df |> Explorer.DataFrame.to_csv!(report_path)\n  end)\nend)\n"
  },
  {
    "path": "scripts/irve/validate_and_import_local_file.exs",
    "content": "# mix run scripts/irve/validate_and_import_local_file.exs\n# This allows to test validation and import of a local file without all the rescueing logic.\n# If something raises, great! You’ve found a bug to fix :)\n\nimport Ecto.Query\n\n# Change me\nfile_path = \"mobilize.csv\"\n\nTransport.LogTimeTaken.log_time_taken(\"Validating #{file_path}\", fn ->\n  IO.puts(\"Starting validating (#{file_path})…\")\n  df = Transport.IRVE.Validator.validate(file_path)\n\n  IO.puts(\"Is the full file valid? #{df |> Transport.IRVE.Validator.full_file_valid?()}\")\n\n  IO.puts(\"Validation summary (how many rows are valid or invalid):\")\n\n  df[\"check_row_valid\"]\n  |> Explorer.Series.frequencies()\n  |> IO.inspect(IEx.inspect_opts())\n\n  report_columns = Transport.IRVE.StaticIRVESchema.field_names_list() |> Enum.map(&\"check_column_#{&1}_valid\")\n\n  columns_with_false =\n    report_columns\n    |> Enum.reject(fn col ->\n      df[col]\n      |> Explorer.Series.all?()\n    end)\n\n  IO.puts(\"Columns with at least one invalid value: #{inspect(columns_with_false)}\")\n\n  report_path = Path.rootname(file_path) <> \"-validation-report.csv\"\n  IO.puts(\"Writing validation report to #{report_path}\")\n\n  df |> Explorer.DataFrame.to_csv!(report_path)\n\n  # Now trying to import\n  Transport.LogTimeTaken.log_time_taken(\"Importing #{file_path}\", fn ->\n    IO.puts(\"Starting importing (#{file_path})…\")\n\n    Transport.IRVE.DatabaseImporter.write_to_db(\n      file_path,\n      \"test-dataset-id\",\n      \"test-resource-id\"\n    )\n\n    IO.puts(\"Importing done.\")\n  end)\n\n  # Verifying import\n\n  file =\n    DB.IRVEValidFile\n    |> DB.Repo.get_by!(datagouv_dataset_id: \"test-dataset-id\", datagouv_resource_id: \"test-resource-id\")\n\n  file_id = file.id\n\n  pdc_count =\n    DB.IRVEValidPDC |> where(irve_valid_file_id: ^file_id) |> DB.Repo.aggregate(:count, :id)\n\n  IO.puts(\"Imported PDC count: #{pdc_count}\")\n  first_pdc = DB.IRVEValidPDC |> where(irve_valid_file_id: ^file_id) |> first() |> DB.Repo.one()\n  IO.puts(\"First imported PDC:\")\n  IO.inspect(first_pdc)\n  DB.Repo.delete(file)\nend)\n"
  },
  {
    "path": "scripts/irve_diff.livemd",
    "content": "<!-- livebook:{\"persist_outputs\":true} -->\n\n# Comparateurs de fichiers \"IRVE statiques\"\n\n```elixir\nMix.install([\n  {:explorer, \"~> 0.8.2\"},\n  {:kino, \"~> 0.12.3\"},\n  {:req, \"~> 0.4.0\"},\n  {:kino_explorer, \"~> 0.1.11\"}\n])\n```\n\n## Données d'entrée\n\n⚠️ Ce notebook contient certaines limitations non traitées pour le moment (mais qui ne sont pas gênantes pour en retirer une valeur immédiate et qu'on traitera plus tard éventuellement):\n\n* L'unicité des `id_pdc_itinerance` n'est pas vérifiée, or un `join` est fait dessus.\n* Le filtrage des valeurs \"Non Renseigné\" n'est pas fait sur cette colonne\n\nPour comparer les identifiants de points de charge entre deux fichiers, il nous faut leurs URLs (qu'on peut tirer par exemple de l'historique de la ressource sur https://transport.data.gouv.fr/datasets/fichier-consolide-des-bornes-de-recharge-pour-vehicules-electriques#backed-up-resources)\n\n```elixir\n# les backups sont sur https://transport.data.gouv.fr/datasets/fichier-consolide-des-bornes-de-recharge-pour-vehicules-electriques#backed-up-resources\ninput_1 =\n  Kino.Input.textarea(\"Première URL IRVE (\\\"ancien\\\" fichier):\",\n    default:\n      \"https://transport-data-gouv-fr-resource-history-prod.cellar-c2.services.clever-cloud.com/81623/81623.20240515.150958.211590.csv\"\n  )\n  |> Kino.render()\n\n# voir https://transport.data.gouv.fr/datasets/fichier-consolide-des-bornes-de-recharge-pour-vehicules-electriques\ninput_2 =\n  Kino.Input.textarea(\"Deuxième URL IRVE (\\\"nouveau\\\" fichier):\",\n    default:\n      \"https://transport-data-gouv-fr-resource-history-prod.cellar-c2.services.clever-cloud.com/81743/81743.20240516.080742.795646.csv\"\n  )\n```\n\nOn peut télécharger le contenu correspondant à ces URLs:\n\n```elixir\n%{status: 200, body: data_1} = Req.get!(input_1 |> Kino.Input.read())\n%{status: 200, body: data_2} = Req.get!(input_2 |> Kino.Input.read())\nKino.nothing()\n```\n\nOn peut ensuite analyser les données avec des `DataFrame`:\n\n```elixir\nalias Explorer.DataFrame, as: DF\n# pour les macros\nrequire DF\n\ndf1 = DF.load_csv!(data_1, infer_schema_length: nil)\ndf2 = DF.load_csv!(data_2, infer_schema_length: nil)\n\n# pour aller voir les données de plus près...\n# df1 |> Kino.render()\n\n# Une jointure `outer` \n# (https://github.com/elixir-explorer/explorer/blob/main/notebooks/exploring_explorer.livemd#joins) \n# permet de déterminer les identifiants qui sont uniquement dans la première ressource, \n# uniquement dans la deuxième, ou dans les deux:\njoin = DF.join(df1, df2, how: :outer, on: :id_pdc_itinerance)\n\nKino.nothing()\n```\n\n### Identifiants uniquement dans l'ancienne ressource (\"supprimés\" de la nouvelle ressource)\n\n⚠️ si un grand nombre d'identifiants ont disparu, cela peut indiquer un souci (ressource devenue invalide, souci lors d'une aggrégation réalisée par un producteur etc).\n\n```elixir\njoin\n|> DF.filter(is_nil(id_pdc_itinerance_right))\n|> DF.group_by([:datagouv_resource_id, :datagouv_organization_or_owner])\n|> DF.summarise(id_pdc_itinerance_count: count(id_pdc_itinerance))\n|> DF.sort_by(desc: id_pdc_itinerance_count)\n|> DF.collect()\n```\n\n<!-- livebook:{\"output\":true} -->\n\n```text\n#Explorer.DataFrame<\n  Polars[2 x 3]\n  datagouv_resource_id string [\"c34dcef5-a22a-4a6d-811d-48ed5067f1d2\", \"b11113db-875d-41c7-8673-0cf8ad43e917\"]\n  datagouv_organization_or_owner string [\"alize-charge\", \"eco-movement\"]\n  id_pdc_itinerance_count u32 [12501, 15]\n>\n```\n\n### Identifiants uniquement dans la nouvelle ressource (\"ajoutés\")\n\n```elixir\njoin\n|> DF.filter(is_nil(id_pdc_itinerance))\n|> DF.group_by([:datagouv_resource_id_right, :datagouv_organization_or_owner_right])\n|> DF.summarise(id_pdc_itinerance_right_count: count(id_pdc_itinerance_right))\n|> DF.sort_by(desc: id_pdc_itinerance_right_count)\n|> DF.collect()\n```\n\n<!-- livebook:{\"output\":true} -->\n\n```text\n#Explorer.DataFrame<\n  Polars[3 x 3]\n  datagouv_resource_id_right string [\"dfa6fed2-4a11-457a-8b64-a43642427ec4\", \"b11113db-875d-41c7-8673-0cf8ad43e917\", \"d9c287ad-7260-4228-90e4-b0fc681b1c40\"]\n  datagouv_organization_or_owner_right string [\"totalenergies-marketing-france\", \"eco-movement\", \"sas-road54\"]\n  id_pdc_itinerance_right_count u32 [34, 33, 4]\n>\n```\n"
  },
  {
    "path": "scripts/memory.exs",
    "content": ":application.start(:sasl)\n:application.start(:os_mon)\n\n# https://www.erlang.org/doc/man/memsup.html#get_system_memory_data-0\noutput = :memsup.get_system_memory_data()\n\nIO.inspect(output, IEx.inspect_opts())\n\n# [\n#   # The amount of free memory available to the Erlang emulator for allocation.\n#   free_memory: 175210496,\n#   # The amount of memory available to the whole operating system.\n#   # This may well be equal to total_memory but not necessarily.\n#   system_total_memory: 17179869184,\n#   # The total amount of memory available to the Erlang emulator, allocated and free.\n#   # May or may not be equal to the amount of memory configured in the system.\n#   total_memory: 17179869184\n# ]\n"
  },
  {
    "path": "scripts/netex-accessibilite.exs",
    "content": "#! /usr/bin/env mix run\n\n#\n# A script to have a summaried look at largish NeTEx, leveraging SAX parsing.\n#\n# ```\n# mix run scripts/netex-accessibilite.exs | uniq -c | sed -e 's/ *//' -e 's/ /\\t/'\n# ```\n#\n\n# https://www.data.gouv.fr/fr/datasets/cheminements-pietons-dans-paris-dapres-openstreetmap/\nurl = \"https://www.data.gouv.fr/fr/datasets/r/7cef040d-c211-4bef-a239-75afa5cd357b\"\n\nfile = Path.join(\"cache-dir\", \"netex-accessibilite.xml\")\n\nif File.exists?(file) do\n  IO.puts(\"File available at #{file}\")\nelse\n  IO.puts(\"Downloading #{url} to #{file}\")\n  %{status: 200} = Transport.HTTPClient.get!(url, into: File.stream!(file))\nend\n\ndefmodule IndentedElementPrinterParser do\n  @moduledoc \"\"\"\n  A simple SAX parser able to print only the XML elements, in indented fashion,\n  with a notion of depth limit.\n\n  TODO: given we show a large number of items, a summary similar to how `uniq` works in Linux would help,\n  for now it is recommended to pipe into `uniq` (see top of the script).\n  \"\"\"\n\n  @behaviour Saxy.Handler\n\n  def handle_event(:start_element, {name, _attributes}, state) do\n    {indent_level, state} = Keyword.get_and_update(state, :indent_level, fn i -> {i || 0, (i || 0) + 1} end)\n\n    unless indent_level >= state[:max_level] do\n      IO.puts(String.duplicate(\" \", indent_level) <> \"<\" <> name <> \">\")\n    end\n\n    {:ok, state}\n  end\n\n  def handle_event(:end_element, _, state) do\n    {_indent_level, state} = Keyword.get_and_update(state, :indent_level, fn i -> {i, i - 1} end)\n    {:ok, state}\n  end\n\n  def handle_event(_, _, state), do: {:ok, state}\nend\n\nfile\n|> File.stream!()\n# NOTE: temporary work-around for https://github.com/qcam/saxy/issues/127\n|> Stream.with_index()\n|> Stream.map(fn {x, index} ->\n  if index == 0, do: String.replace(x, \" encoding='ASCII'\", \"\"), else: x\nend)\n|> Saxy.parse_stream(IndentedElementPrinterParser, max_level: System.get_env(\"LEVEL\", \"5\") |> String.to_integer())\n"
  },
  {
    "path": "scripts/netex_analyzer.exs",
    "content": "resources =\n  DB.Resource\n  |> DB.Repo.all()\n\n# count\nresources\n|> Enum.count()\n|> IO.inspect()\n\ndf =\n  resources\n  |> Enum.map(fn r ->\n    %{\n      id: r.id,\n      url: r.url,\n      title: r.title,\n      unverified_format: r.format,\n      description: r.description\n    }\n  end)\n  |> Enum.filter(&(&1.unverified_format == \"NeTEx\"))\n\ndownload_resource = fn r ->\n  url = r.url\n  file = Path.join(\"cache-dir\", \"resource-#{r.id}.dat\")\n  status_file = file <> \".status.json\"\n\n  unless File.exists?(status_file) do\n    IO.puts(\"Saving #{url}\")\n    url = if String.contains?(url, \"|\"), do: URI.encode(url), else: url\n\n    %{status: status} =\n      Transport.HTTPClient.get!(url,\n        decode_body: false,\n        compressed: false,\n        into: File.stream!(file)\n      )\n\n    File.write!(status_file, %{status: status} |> Jason.encode!())\n  end\n\n  %{\"status\" => status} = File.read!(status_file) |> Jason.decode!()\n\n  r\n  |> Map.put(:http_status, status)\n  |> Map.put(:local_path, file)\nend\n\ncount_relevant_stop_places_per_resource = fn r ->\n  IO.puts(\"Processing file #{r.id}\")\n\n  try do\n    count =\n      Transport.NeTEx.ArchiveParser.read_all_stop_places(r.local_path)\n      |> Enum.flat_map(fn {_file, stops} -> stops end)\n      # some stop places have no latitude in NeTEx\n      |> Enum.reject(fn p -> is_nil(p[:latitude]) end)\n      |> Enum.count()\n\n    IO.puts(\"#{count} StopPlaces detected\")\n  rescue\n    _ -> IO.puts(\"Som'thing bad happened\")\n  end\nend\n\nnetex =\n  df\n  |> Task.async_stream(download_resource, max_concurrency: 10, timeout: 120_000)\n  |> Stream.map(fn {:ok, result} -> result end)\n  |> Stream.reject(&is_nil(&1))\n  |> Task.async_stream(count_relevant_stop_places_per_resource, max_concurrency: 5, timeout: 60_000 * 5)\n  |> Stream.run()\n"
  },
  {
    "path": "scripts/netex_layout_analyzer.exs",
    "content": "resources =\n  DB.Resource\n  |> DB.Repo.all()\n\n# count\nresources\n|> Enum.count()\n|> IO.inspect()\n\ndf =\n  resources\n  |> Enum.map(fn r ->\n    %{\n      id: r.id,\n      url: r.url,\n      title: r.title,\n      unverified_format: r.format,\n      description: r.description\n    }\n  end)\n  |> Enum.filter(&(&1.unverified_format == \"NeTEx\"))\n\ndownload_resource = fn r ->\n  url = r.url\n  file = Path.join(\"cache-dir\", \"resource-#{r.id}.dat\")\n  status_file = file <> \".status.json\"\n\n  unless File.exists?(status_file) do\n    IO.puts(\"Saving #{url}\")\n    url = if String.contains?(url, \"|\"), do: URI.encode(url), else: url\n\n    %{status: status} =\n      Transport.HTTPClient.get!(url,\n        decode_body: false,\n        compressed: false,\n        into: File.stream!(file)\n      )\n\n    File.write!(status_file, %{status: status} |> Jason.encode!())\n  end\n\n  %{\"status\" => status} = File.read!(status_file) |> Jason.decode!()\n\n  r\n  |> Map.put(:http_status, status)\n  |> Map.put(:local_path, file)\nend\n\nhierarchy_level = fn file -> file |> String.split(\"/\") |> Enum.count() end\n\ndump_netex_files = fn r ->\n  IO.puts(\"Processing file #{r.id}\")\n\n  url = \"https://transport.data.gouv.fr/resources/#{r.id}\"\n\n  result =\n    try do\n      Transport.NeTEx.ArchiveParser.read_all_stop_places(r.local_path)\n      |> Enum.map(fn {file, _stops} -> file end)\n      |> Enum.reject(fn file -> String.ends_with?(file, \"/\") end)\n      |> Enum.map(fn file -> [url, r.title, r.url, file, hierarchy_level.(file)] end)\n    rescue\n      _ ->\n        IO.puts(\"Som'thing bad happened\")\n        []\n    end\n\n  NimbleCSV.RFC4180.dump_to_iodata(result)\nend\n\noutput_file = \"netex_layout_analysis.csv\"\n\nFile.write(output_file, NimbleCSV.RFC4180.dump_to_iodata([~w(resource title url file hierarchy)]))\n\ndf\n|> Task.async_stream(download_resource, max_concurrency: 10, timeout: 120_000)\n|> Stream.map(fn {:ok, result} -> result end)\n|> Stream.reject(&is_nil(&1))\n|> Task.async_stream(dump_netex_files, max_concurrency: 5, timeout: 60_000 * 5)\n|> Stream.map(fn {:ok, result} -> result end)\n|> Stream.into(File.stream!(output_file, [:append, :utf8]))\n|> Stream.run()\n"
  },
  {
    "path": "scripts/notion_link_databases.exs",
    "content": "Mix.install([\n  {:req, \"~> 0.3.0\"},\n  {:dotenvy, \"~> 0.8.0\"}\n])\n\ndefmodule NotionClient do\n  import Dotenvy\n  source!([\".env\", System.get_env()])\n\n  @org_id_column_name \"organisation_id_text\"\n  @reference_column_name \"organisation\"\n\n  def notion_headers,\n    do: [auth: {:bearer, env!(\"NOTION_SECRET\")}, headers: [{\"Notion-Version\", \"2022-06-28\"}]]\n\n  def get_notion_page_content(page_id) do\n    Req.get!(\"https://api.notion.com/v1/blocks/#{page_id}/children\", notion_headers())\n  end\n\n  def get_notion_database_content(database_id, start_cursor: start_cursor) do\n    Process.sleep(350)\n\n    Req.post!(\n      \"https://api.notion.com/v1/databases/#{database_id}/query\",\n      [json: %{\"start_cursor\" => start_cursor}] ++ notion_headers()\n    )\n  end\n\n  def get_notion_database_content(database_id) do\n    Process.sleep(350)\n    Req.post!(\"https://api.notion.com/v1/databases/#{database_id}/query\", notion_headers())\n  end\n\n  def results_content_follow_pagination(database_id) do\n    %{status: 200, body: body} = NotionClient.get_notion_database_content(database_id)\n    results_content_follow_pagination(database_id, body[\"next_cursor\"], body[\"results\"])\n  end\n\n  def results_content_follow_pagination(_database_id, nil, acc) do\n    acc\n  end\n\n  def results_content_follow_pagination(database_id, next_cursor, acc) do\n    %{status: 200, body: body} = NotionClient.get_notion_database_content(database_id, start_cursor: next_cursor)\n    results_content_follow_pagination(database_id, body[\"next_cursor\"], acc ++ body[\"results\"])\n  end\n\n  def list_of_tuples_text_ref_real_id(results) do\n    results\n    |> Enum.map(fn line ->\n      property = line |> get_in([\"properties\", @org_id_column_name])\n\n      org_text_id =\n        case property[\"type\"] do\n          \"rich_text\" -> property |> get_in([\"rich_text\"]) |> hd |> get_in([\"plain_text\"])\n          \"number\" -> property |> get_in([\"number\"])\n        end\n\n      {org_text_id, line[\"id\"]}\n    end)\n  end\n\n  def patch_organisation_relation_property(entry_id, organisation_id) do\n    Process.sleep(500)\n\n    Req.patch!(\n      \"https://api.notion.com/v1/pages/#{entry_id}\",\n      [\n        json: %{\n          \"properties\" => %{\n            @reference_column_name => %{\"relation\" => [%{\"id\" => organisation_id}]}\n          }\n        }\n      ] ++ notion_headers()\n    )\n  end\n\n  def link_organisations_to_contacts(organisation_database_id, contact_database_id) do\n    # 1.Get the organisation database from Notion API, then transform it to get a map with their ID and slug\n    IO.puts(\"Getting organisations...\")\n\n    map_of_orgs_ids =\n      NotionClient.results_content_follow_pagination(organisation_database_id)\n      |> NotionClient.list_of_tuples_text_ref_real_id()\n      |> Map.new()\n\n    IO.inspect(map_of_orgs_ids)\n\n    # 2. Get the contact database from Notion API, then transform it to get a list of tuples\n    IO.puts(\"Getting contacts...\")\n\n    list_of_tuples_of_contacts =\n      NotionClient.results_content_follow_pagination(contact_database_id)\n      |> NotionClient.list_of_tuples_text_ref_real_id()\n\n    IO.inspect(map_of_orgs_ids)\n\n    # 3. For each contact, patch it with the organisation ID\n    IO.puts(\"Linking contacts to organisations...\")\n\n    list_of_tuples_of_contacts\n    |> Enum.each(fn {org_text_id, contact_id} ->\n      IO.puts(\"Linking #{contact_id} to #{org_text_id}\")\n\n      case Map.get(map_of_orgs_ids, org_text_id) do\n        nil -> IO.puts(\"No organisation ref #{org_text_id} found for #{contact_id}\")\n        org_id -> NotionClient.patch_organisation_relation_property(contact_id, org_id)\n      end\n    end)\n  end\nend\n\norganisation_database_id = \"fill-me\"\ncontact_database_id = \"fill-me\"\n\nNotionClient.link_organisations_to_contacts(organisation_database_id, contact_database_id)\n"
  },
  {
    "path": "scripts/oban/oban_experiments.exs",
    "content": "require Logger\n\nMix.install([\n  {:ecto_sql, \"~> 3.8.1\"},\n  {:postgrex, \"~> 0.16.3\"},\n  {:oban, \"~> 2.12.0\"}\n])\n\nApplication.put_env(:myapp, Repo, database: \"test_oban\")\n\ndefmodule Repo do\n  use Ecto.Repo,\n    adapter: Ecto.Adapters.Postgres,\n    otp_app: :myapp\nend\n\ndefmodule Migration0 do\n  use Ecto.Migration\n\n  def change do\n    Oban.Migrations.up()\n  end\nend\n\ndefmodule Main do\n  require Logger\n\n  def start_ecto do\n    children = [\n      Repo,\n      {Oban, repo: Repo, plugins: [Oban.Plugins.Pruner], queues: [default: 10]}\n    ]\n\n    {:ok, _} = Supervisor.start_link(children, strategy: :one_for_one)\n  end\n\n  def create_db do\n    Logger.info(\"Erasing database...\")\n    Repo.__adapter__().storage_down(Repo.config())\n\n    Logger.info(\"Creating database...\")\n    Repo.__adapter__().storage_up(Repo.config())\n  end\n\n  def main do\n    start_ecto()\n\n    Logger.info(\"Running migrations...\")\n    Ecto.Migrator.run(Repo, [{0, Migration0}], :up, all: true)\n\n    Logger.info(\"Inserting long running job...\")\n    Oban.insert!(LongRunningJob.new(%{}))\n\n    # Oban.Job\n    # |> Repo.all()\n    # |> IO.inspect(IEx.inspect_opts)\n  end\nend\n\ndefmodule LongRunningJob do\n  use Oban.Worker\n  require Logger\n\n  @impl Oban.Worker\n  def perform(%Oban.Job{}) do\n    max = 10_000\n\n    for i <- 1..max do\n      Logger.info(\"Working (step #{i} of #{max})...\")\n      Process.sleep(1_000)\n    end\n\n    :ok\n  end\nend\n\ncase System.argv() do\n  [\"create_db\"] ->\n    Main.create_db()\n\n  [\"check\"] ->\n    Main.start_ecto()\n\n    [job] =\n      Oban.Job\n      |> Repo.all(log: false)\n      |> Enum.map(fn x -> Map.take(x, [:attempt, :state]) end)\n      |> IO.inspect(IEx.inspect_opts())\n\n  [\"run\"] ->\n    Logger.info(\"Starting individual process running a very long time\")\n    Main.main()\n    Process.sleep(10_000_000)\nend\n"
  },
  {
    "path": "scripts/oban/oban_suite.exs",
    "content": "# elixir oban_suite.exs\n# see https://github.com/etalab/transport-site/pull/2365 for some context\nExUnit.start()\n\ndefmodule ObanSuite do\n  use ExUnit.Case, async: false\n\n  @signals [\n    sigkill: \"-9\",\n    sigterm: \"-15\"\n  ]\n\n  setup do\n    {_result, 0} = System.shell(\"elixir oban_experiments.exs create_db 2>&1\")\n\n    on_exit(fn ->\n      {result, 0} = System.shell(\"elixir oban_experiments.exs check 2>&1\")\n      IO.puts(\"After:\")\n      IO.puts(result)\n    end)\n  end\n\n  def run_test(signal) do\n    IO.puts(\"Testing #{signal}...\")\n\n    Task.async(fn ->\n      {_result, _exit_code} = System.shell(\"elixir oban_experiments.exs run 2>&1\")\n      #      IO.inspect(result, IEx.inspect_opts)\n    end)\n\n    Process.sleep(1_000)\n    flag = Keyword.fetch!(@signals, signal)\n    System.shell(\"pkill #{flag} -f oban_experiments\")\n    Process.sleep(1000)\n  end\n\n  test \"sigkill\", do: run_test(:sigkill)\n  test \"sigterm\", do: run_test(:sigterm)\nend\n"
  },
  {
    "path": "scripts/pagination_example.exs",
    "content": "Mix.install([\n  {:req, \"~> 0.3.0\"},\n  {:dotenvy, \"~> 0.8.0\"}\n])\n\ndefmodule EnvConfig do\n  def read!() do\n    env_file = Path.join(__ENV__.file, \"../../.env\") |> Path.expand()\n    Dotenvy.source!(env_file)\n  end\nend\n\n# A simple example of HTTP pagination of an API, using tools provided by Elixir.\n# We build \"streams\" which are lazy-evaluated enumerables.\ndefmodule NotionClient do\n  def http_options(notion_secret) do\n    [auth: {:bearer, notion_secret}, headers: [{\"Notion-Version\", \"2022-06-28\"}]]\n  end\n\n  def build_base_url(table_id), do: \"https://api.notion.com/v1/databases/#{table_id}/query\"\n\n  # an example of creating a stream (lazy-evaluted) based on HTTP pagination via `Stream.resource/3`\n  # https://hexdocs.pm/elixir/Stream.html#resource/3\n  def database_items_via_stream_resource(table_id, notion_secret) do\n    base_url = build_base_url(table_id)\n\n    # function called by `Stream.resource`, until it returns {:halt, ...}\n    next_fn = fn\n      :done ->\n        {:halt, nil}\n\n      {url, start_cursor} ->\n        # https://developers.notion.com/reference/pagination\n        json = %{page_size: 100}\n        json = if start_cursor, do: Map.put(json, :start_cursor, start_cursor), else: json\n        options = http_options(notion_secret) |> Keyword.put(:json, json)\n\n        %{status: 200, body: body} = Req.post!(url, options)\n        acc = if cursor = body[\"next_cursor\"], do: {url, cursor}, else: :done\n        {body[\"results\"], acc}\n    end\n\n    Stream.resource(\n      # initially, start_cursor is not available\n      fn -> {base_url, nil} end,\n      next_fn,\n      fn _ -> nil end\n    )\n  end\n\n  # Since we have a simple case, we can even just use `Stream.unfold`\n  # https://hexdocs.pm/elixir/Stream.html#unfold/2\n  def database_items_via_stream_unfold(table_id, notion_secret) do\n    base_url = build_base_url(table_id)\n\n    req = fn\n      nil ->\n        nil\n\n      {url, start_cursor} ->\n        # https://developers.notion.com/reference/pagination\n        json = %{page_size: 100}\n        json = if start_cursor, do: Map.put(json, :start_cursor, start_cursor), else: json\n        options = http_options(notion_secret) |> Keyword.put(:json, json)\n        %{status: 200, body: body} = Req.post!(url, options)\n        acc = if c = body[\"next_cursor\"], do: {url, c}, else: nil\n        {body[\"results\"], acc}\n    end\n\n    Stream.unfold({base_url, nil}, req)\n    # https://hexdocs.pm/elixir/Stream.html#flat_map/2 is needed\n    |> Stream.flat_map(fn x -> x end)\n  end\nend\n\ndefmodule Mapper do\n  def run(stream) do\n    stream\n    |> Stream.map(fn x -> x[\"properties\"][\"Nom\"][\"title\"] |> List.first() |> Map.fetch!(\"plain_text\") end)\n    |> Stream.with_index()\n    |> Stream.each(&IO.inspect(&1, IEx.inspect_opts()))\n    |> Stream.run()\n  end\nend\n\n%{\n  \"NOTION_SECRET\" => notion_secret,\n  \"NOTION_ORGANIZATIONS_TABLE_ID\" => notion_org_table_id\n} = EnvConfig.read!()\n\nIO.puts(\"========= database_items_via_stream_resource =========\")\n\nNotionClient.database_items_via_stream_resource(notion_org_table_id, notion_secret)\n|> Stream.take(3)\n|> Mapper.run()\n\nIO.puts(\"========= database_items_via_stream_unfold =========\")\n\nNotionClient.database_items_via_stream_unfold(notion_org_table_id, notion_secret)\n|> Stream.take(2)\n|> Mapper.run()\n"
  },
  {
    "path": "scripts/registre-arrets.exs",
    "content": "Transport.Registry.Engine.execute(\"./registre-arrets.csv\")\n"
  },
  {
    "path": "scripts/req_httpoison_testing.exs",
    "content": "# Logger.configure(level: :debug)\n\nresources = Transport.Jobs.ResourceHistoryAndValidationDispatcherJob.resources_to_historise()\n\ndefmodule Downloader do\n  def handle(folder, resource) do\n    [:req, :legacy]\n    |> Enum.map(fn mode ->\n      file_path = Path.join(folder, \"#{mode}-#{resource.id}.dat\")\n      state_file_path = file_path <> \".state\"\n\n      unless File.exists?(state_file_path) do\n        outcome =\n          Transport.Jobs.ResourceHistoryJob.download_resource(mode, resource, file_path)\n\n        unless outcome |> elem(0) == :ok do\n          File.rm(file_path)\n        end\n\n        File.write!(state_file_path, outcome |> :erlang.term_to_binary())\n      end\n\n      {mode, File.read!(state_file_path) |> :erlang.binary_to_term()}\n    end)\n    |> Enum.into(%{})\n    |> Map.put(:resource, resource)\n  end\nend\n\nfolder = Path.join(__ENV__.file, \"../cache-dir\") |> Path.expand()\n\nstream =\n  resources\n  |> Task.async_stream(\n    fn x -> Downloader.handle(folder, x) end,\n    max_concurrency: 10,\n    timeout: :infinity\n  )\n  |> Stream.map(fn {:ok, x} -> x end)\n\ndefmodule Comparer do\n  # compute checksum, using a checksum file for persistence since this is a costly operation\n  def checksum(file, :cached) do\n    checksum_file = file <> \".checksum\"\n\n    unless File.exists?(checksum_file) do\n      checksum = :crypto.hash(:md5, File.read!(file)) |> Base.encode16()\n      File.write!(checksum_file, checksum)\n    end\n\n    File.read!(checksum_file)\n  end\n\n  def get_zip_metadata(filename) do\n    {output, exit_code} = System.cmd(\"unzip\", [\"-Z1\", filename], stderr_to_stdout: true)\n\n    cond do\n      exit_code == 0 ->\n        output |> String.split(\"\\n\") |> Enum.sort() |> Enum.reject(fn x -> x == \"\" end)\n\n      output =~ ~r/cannot find zipfile directory|signature not found/ ->\n        :corrupt\n\n      true ->\n        raise \"should not happen\"\n    end\n  end\n\n  def compare_json(file_1, file_2) do\n    {output, 0} = System.shell(\"scripts/compare-json.sh #{file_1} #{file_2} 2>&1\")\n    output == \"\"\n  end\n\n  def compare_csv(file_1, file_2) do\n    File.read!(file_1) |> String.split(\"\\n\") |> List.first() ==\n      File.read!(file_2) |> String.split(\"\\n\") |> List.first()\n  end\nend\n\nIO.puts(\"Total considered resources: count=#{resources |> Enum.count()}\")\n\n{all_ok, not_all_ok} =\n  stream\n  |> Enum.split_with(fn x -> match?(%{legacy: {:ok, _, _}, req: {:ok, _, _}}, x) end)\n\nIO.puts(\"Download OK for both req & httpoison: count=#{all_ok |> Enum.count()}\")\nIO.write(\"How many OK files are not equivalent in a way or another? \")\n\nall_ok\n|> Stream.map(fn x ->\n  {:ok, file_1, _} = x[:legacy]\n  {:ok, file_2, _} = x[:req]\n  same_checksum = Comparer.checksum(file_1, :cached) == Comparer.checksum(file_2, :cached)\n  Map.put(x, :same_checksum, same_checksum)\nend)\n|> Stream.filter(fn x -> !x[:same_checksum] end)\n|> Stream.map(fn x ->\n  {:ok, file_1, _} = x[:legacy]\n  {:ok, file_2, _} = x[:req]\n\n  x =\n    if x.resource.format == \"GTFS\" do\n      same_gtfs = Comparer.get_zip_metadata(file_1) == Comparer.get_zip_metadata(file_2)\n      Map.put(x, :same_gtfs, same_gtfs)\n    else\n      x\n    end\n\n  x =\n    if x.resource.format == \"geojson\" do\n      same_json = Comparer.compare_json(file_1, file_2)\n      Map.put(x, :same_json, same_json)\n    else\n      x\n    end\n\n  x =\n    if x.resource.format == \"shp\" do\n      same_shp = Comparer.get_zip_metadata(file_1) == Comparer.get_zip_metadata(file_2)\n      Map.put(x, :same_shp, same_shp)\n    else\n      x\n    end\n\n  x =\n    if x.resource.format == \"NeTEx\" do\n      # at this point, the non-equal NeTEx are all zip containing zips\n      same_zipped_netex = Comparer.get_zip_metadata(file_1) == Comparer.get_zip_metadata(file_2)\n      Map.put(x, :same_zipped_netex, same_zipped_netex)\n    else\n      x\n    end\n\n  x =\n    if x.resource.format == \"csv\" do\n      same_csv_headers = Comparer.compare_csv(file_1, file_2)\n      Map.put(x, :same_csv_headers, same_csv_headers)\n    else\n      x\n    end\n\n  x\nend)\n|> Stream.reject(fn x -> x.resource.format == \"GTFS\" && x[:same_gtfs] end)\n|> Stream.reject(fn x -> x.resource.format == \"geojson\" && x[:same_json] end)\n|> Stream.reject(fn x -> x.resource.format == \"shp\" && x[:same_shp] end)\n|> Stream.reject(fn x -> x.resource.format == \"NeTEx\" && x[:same_zipped_netex] end)\n|> Stream.reject(fn x -> x.resource.format == \"csv\" && x[:same_csv_headers] end)\n|> Enum.count()\n|> IO.puts()\n\nIO.puts(\"Download not OK for at least one: count=#{not_all_ok |> Enum.count()}\")\n\n{same_error, not_same_error} =\n  Enum.split_with(not_all_ok, fn x ->\n    case x do\n      %{req: {:error, err1}, legacy: {:error, err2}} ->\n        err1 == err2 && err1 |> String.starts_with?(\"Got a non 200 status\")\n\n      _ ->\n        false\n    end\n  end)\n\nIO.puts(\n  \"Download not OK but req & httpoison lead to same http status error: count=\" <>\n    (same_error |> Enum.count() |> inspect)\n)\n\nIO.puts(\"Other: \" <> (not_same_error |> Enum.count() |> inspect()))\n\nnot_same_error\n|> Enum.frequencies_by(fn x -> %{req: x[:req] |> elem(0), legacy: x[:legacy] |> elem(0)} end)\n|> IO.inspect(IEx.inspect_opts())\n\nnot_same_error\n|> Enum.map(fn x -> x[:resource].url end)\n|> Enum.each(fn x -> IO.puts(x) end)\n\nsame_error\n|> Enum.frequencies_by(fn x ->\n  x[:legacy] |> elem(1)\nend)\n|> IO.inspect()\n\nsame_error\n|> Enum.group_by(fn x -> x[:legacy] |> elem(1) end, fn x ->\n  \"https://transport.data.gouv.fr/resources/#{x.resource.id}\"\nend)\n|> Enum.each(fn {k, v} ->\n  IO.puts(\"\\n\" <> k)\n\n  v\n  |> Enum.each(fn x -> IO.puts(\"* #{x}\") end)\nend)\n\nIO.puts(\"============ done =============\")\n"
  },
  {
    "path": "scripts/req_stream.exs",
    "content": "Mix.install([\n  {:req, \"~> 0.4.0\"}\n])\n\nlarge_file_url = \"https://www.data.gouv.fr/fr/datasets/r/c83ba91e-2cd1-40f7-a632-eb0a76d83c49\"\n# small_file_url = \"https://httpbin.org/range/100000\"\n\nurl = large_file_url\n# url = small_file_url\n\n# Download file to disk via an IO.Stream\nfile = File.stream!(\"test.data\", [:write])\n\ntry do\n  # NOTE: decode_body is apparently disabled on response streaming\n  # https://hexdocs.pm/req/Req.Steps.html#decode_body/1\n  response = Req.get!(url, into: file)\n  # :body is just a ref to the File.Stream\n  IO.inspect(response, IEx.inspect_opts())\nafter\n  :ok = File.close(file)\nend\n"
  },
  {
    "path": "scripts/search_engine.exs",
    "content": "#! elixir\n\nmy_app_root = Path.join(__DIR__, \"..\")\n\nApplication.put_env(:search, Search.Endpoint,\n  http: [ip: {127, 0, 0, 1}, port: 5001],\n  server: true,\n  live_view: [signing_salt: \"aaaaaaaa\"],\n  secret_key_base: String.duplicate(\"a\", 64)\n)\n\nMix.install(\n  [\n    {:my_app, path: my_app_root, env: :dev},\n    {:io_ansi_table, \"~> 1.0\"}\n  ],\n  config_path: Path.join(my_app_root, \"config/config.exs\"),\n  lockfile: Path.join(my_app_root, \"mix.lock\")\n)\n\n# NOTE: wondering if Flop (https://github.com/woylie/flop) could be a better fit than Scrivener (which is hardly maintained)\n# It provides cursor-based pagination as well as regular limit/offset stuff.\n\ndefmodule Search.ErrorView do\n  def render(template, _), do: Phoenix.Controller.status_message_from_template(template)\nend\n\ndefmodule Search.HomeLive do\n  use Phoenix.LiveView, layout: {__MODULE__, :live}\n\n  use Phoenix.HTML, only: [text_input: 2]\n\n  def mount(_params, _session, socket) do\n    {:ok,\n     socket\n     |> assign(:title, \"\")\n     |> assign(:format, \"\")\n     |> assign(:mode, \"\")\n     |> update_datasets(%{\"config\" => %{}})}\n  end\n\n  defp phx_vsn, do: Application.spec(:phoenix, :vsn)\n  defp lv_vsn, do: Application.spec(:phoenix_live_view, :vsn)\n\n  def render(\"live.html\", assigns) do\n    ~H\"\"\"\n    <script src={\"https://cdn.jsdelivr.net/npm/phoenix@#{phx_vsn()}/priv/static/phoenix.min.js\"}>\n    </script>\n    <script src={\"https://cdn.jsdelivr.net/npm/phoenix_live_view@#{lv_vsn()}/priv/static/phoenix_live_view.min.js\"}>\n    </script>\n    <link href=\"https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/css/bootstrap.min.css\" rel=\"stylesheet\" />\n    <script src=\"https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/js/bootstrap.bundle.min.js\">\n    </script>\n    <script>\n      let liveSocket = new window.LiveView.LiveSocket(\"/live\", window.Phoenix.Socket)\n      liveSocket.connect()\n    </script>\n    <style>\n      * { font-size: 1.1em; }\n    </style>\n    {@inner_content}\n    \"\"\"\n  end\n\n  def render(assigns) do\n    ~H\"\"\"\n    <div class=\"px-4 py-5 text-center\">\n      <.form :let={f} id=\"search\" for={%{}} as={:config} phx-change=\"change_form\" phx-submit=\"ignore\">\n        <div>\n          {text_input(f, :title,\n            value: @title,\n            placeholder: \"Title\",\n            autocorrect: \"off\"\n          )}\n          {text_input(f, :format,\n            value: @format,\n            placeholder: \"Resource Format\",\n            autocorrect: \"off\"\n          )}\n          {text_input(f, :mode,\n            value: @mode,\n            placeholder: \"Resource Mode\",\n            autocorrect: \"off\"\n          )}\n        </div>\n      </.form>\n\n      <p>\n        {@datasets |> length} datasets found\n      </p>\n      <table class=\"table fs-6\">\n        <tbody>\n          <%= for dataset <- @datasets do %>\n            <tr>\n              <td>{dataset.id}</td>\n              <td style=\"min-width: 30em;\">{dataset.title}</td>\n              <td>{dataset.formats}</td>\n              <td>{dataset.modes}</td>\n            </tr>\n          <% end %>\n        </tbody>\n      </table>\n    </div>\n    \"\"\"\n  end\n\n  import Ecto.Query\n\n  def nil_if_blank(value) do\n    value = (value || \"\") |> String.trim()\n    if value == \"\", do: nil, else: value\n  end\n\n  def update_datasets(socket, params) do\n    # NOTE: could be improved here to tap directly in the assigns\n    datasets =\n      Searcher.search(\n        title: nil_if_blank(get_in(params, [\"config\", \"title\"])),\n        format: nil_if_blank(get_in(params, [\"config\", \"format\"])),\n        mode: nil_if_blank(get_in(params, [\"config\", \"mode\"]))\n      )\n      |> Enum.map(&Searcher.render(&1))\n\n    assign(socket, :datasets, datasets)\n  end\n\n  def handle_event(\"change_form\", params, socket) do\n    {:noreply, update_datasets(socket, params)}\n  end\nend\n\ndefmodule Search.Router do\n  use Phoenix.Router\n  import Phoenix.LiveView.Router\n\n  pipeline :browser do\n    plug(:accepts, [\"html\"])\n  end\n\n  scope \"/\", Search do\n    pipe_through(:browser)\n\n    live(\"/\", HomeLive, :index)\n  end\nend\n\ndefmodule Search.Endpoint do\n  use Phoenix.Endpoint, otp_app: :search\n  socket(\"/live\", Phoenix.LiveView.Socket)\n  plug(Search.Router)\nend\n\ndefmodule SearchIndexer do\n  import Ecto.Query\n\n  def fetch_items do\n    from(d in DB.Dataset,\n      preload: :resources\n      #      limit: 10\n    )\n    |> DB.Repo.all()\n  end\n\n  def find_resource_history(resource_id) do\n    from(rh in DB.ResourceHistory)\n    |> where([rh], rh.resource_id == ^resource_id)\n    |> order_by([rh], {:desc, rh.inserted_at})\n    |> limit(1)\n    |> DB.Repo.one()\n  end\n\n  def find_resource_metadata(resource_history_id) do\n    from(rm in DB.ResourceMetadata)\n    |> where([rm], rm.resource_history_id == ^resource_history_id)\n    |> order_by([rh], {:desc, rh.inserted_at})\n    |> limit(1)\n    |> DB.Repo.one()\n  end\n\n  def compute_payload(%DB.Dataset{} = dataset) do\n    # NOTE: not optimized for N+1 because performance is good enough for now\n\n    modes =\n      dataset.resources\n      |> Enum.map(fn r ->\n        rh_id = if x = find_resource_history(r.id), do: x.id, else: nil\n\n        if rh_id != nil do\n          rm = find_resource_metadata(rh_id)\n\n          if rm != nil do\n            rm.metadata[\"modes\"]\n          else\n            nil\n          end\n        else\n          nil\n        end\n      end)\n      |> List.flatten()\n      |> Enum.reject(&(&1 == nil))\n\n    %{\n      id: dataset.id,\n      datagouv_id: dataset.datagouv_id,\n      title: dataset.custom_title,\n      description: dataset.description,\n      formats: dataset.resources |> Enum.map(& &1.format),\n      modes: modes\n    }\n  end\n\n  def reindex! do\n    # NOTE: much, much too slow for my taste, should be bulked and/or parallelized\n    fetch_items()\n    |> Enum.map(&{&1, compute_payload(&1)})\n    |> Enum.each(fn {%DB.Dataset{} = d, %{} = payload} ->\n      Ecto.Changeset.change(d, %{search_payload: payload})\n      |> DB.Repo.update!()\n    end)\n  end\nend\n\ndefmodule Searcher do\n  import Ecto.Query\n\n  def maybe_search_title(query, nil), do: query\n\n  def maybe_search_title(query, search_title) do\n    safe_like_title = \"%\" <> DB.Contact.safe_like_pattern(search_title) <> \"%\"\n\n    query\n    |> where([d], fragment(\"search_payload->>'title' ilike ?\", ^safe_like_title))\n  end\n\n  def maybe_search_resources_formats(query, nil), do: query\n\n  def maybe_search_resources_formats(query, search_format) do\n    query\n    |> where([d], fragment(\"search_payload #> Array['formats'] \\\\? ?\", ^search_format))\n  end\n\n  # NOTE: could be DRYed with formats\n  def maybe_search_resources_modes(query, nil), do: query\n\n  def maybe_search_resources_modes(query, mode) do\n    query\n    |> where([d], fragment(\"search_payload #> Array['modes'] \\\\? ?\", ^mode))\n  end\n\n  def search(options) do\n    from(d in DB.Dataset)\n    |> maybe_search_title(options[:title])\n    |> maybe_search_resources_formats(options[:format])\n    |> maybe_search_resources_modes(options[:mode])\n    |> select([d], [:id, :custom_title, :search_payload])\n    |> DB.Repo.all()\n  end\n\n  def render(%{} = item) do\n    %{\n      id: item.id,\n      title: item.custom_title,\n      formats: (item.search_payload[\"formats\"] || []) |> Enum.join(\", \"),\n      modes: (item.search_payload[\"modes\"] || []) |> Enum.join(\", \")\n    }\n  end\n\n  def render(items) do\n    IO.ANSI.Table.start([:id, :title, :formats])\n    IO.ANSI.Table.format(items |> Enum.map(&render(&1)))\n  end\nend\n\nif System.get_env(\"REINDEX\") == \"1\" do\n  SearchIndexer.reindex!()\nend\n\n# Uncomment for fancy ANSI-console rendering\n\n# Searcher.search(title: \"bibus\")\n# |> Searcher.render()\n\n# Searcher.search(format: \"SIRI\")\n# |> Searcher.render()\n\nif System.get_env(\"RUN_SERVER\") == \"1\" do\n  {:ok, _} = Supervisor.start_link([Search.Endpoint], strategy: :one_for_one)\n  Process.sleep(:infinity)\nend\n\nIO.puts(\"Done\")\n"
  },
  {
    "path": "scripts/siri/siri_check.exs",
    "content": "Mix.install([\n  {:req, \"~> 0.2.1\"},\n  # for UUID generation\n  {:ecto, \"~> 3.7.1\"},\n  # YAML config to make group tests easier (see https://github.com/etalab/transport_deploy/issues/49)\n  {:yaml_elixir, \"~> 2.8\"},\n  {:saxy, \"~> 1.5.0\"}\n])\n\nCode.require_file(\"../../apps/transport/lib/siri_queries.ex\")\n\n{args, _rest} =\n  OptionParser.parse!(System.argv(),\n    strict: [\n      endpoint: :string,\n      requestor_ref: :string,\n      target: :string,\n      request: :string,\n      line_refs: :string,\n      dump_query: :boolean,\n      dump_response: :boolean,\n      stop_ref: :string\n    ]\n  )\n\ndefmodule Helper do\n  def halt(error) do\n    Mix.Shell.IO.error(error)\n    System.halt(:abort)\n  end\n\n  def exit do\n    System.halt(0)\n  end\n\n  def config do\n    \"#{__DIR__}/config.yml\"\n    |> File.read!()\n    |> YamlElixir.read_from_string!()\n    |> Map.fetch!(\"feeds\")\n  end\nend\n\n# must conform to https://www.w3.org/TR/xmlschema-2/#dateTime\ntimestamp = DateTime.utc_now() |> DateTime.to_iso8601()\n\ntarget = args |> Keyword.get(:target)\n\nrequest =\n  args |> Keyword.get(:request) ||\n    Helper.halt(\n      \"Please provide --request switch (check_status, lines_discovery, stop_points_discovery, get_estimated_timetable, get_stop_monitoring, get_general_message)\"\n    )\n\n{endpoint, requestor_ref} =\n  cond do\n    target == \"all\" ->\n      identifiers = Helper.config() |> Enum.map(& &1[\"identifier\"])\n\n      identifiers\n      |> Enum.each(fn identifier ->\n        cmd = \"elixir #{__ENV__.file} --target #{identifier} --request #{request}\"\n        IO.puts(IO.ANSI.format([:yellow, \"\\nRunning #{cmd}\\n\"]))\n        System.shell(cmd, into: IO.stream())\n      end)\n\n      Helper.exit()\n\n    target ->\n      config = Helper.config() |> Enum.filter(&(&1[\"identifier\"] == target))\n\n      case config |> Enum.count() do\n        0 -> Helper.halt(\"Config not found for identifier #{target}. Please check config file.\")\n        1 -> true\n        _ -> Helper.halt(\"Duplicate config found for identifier #{target}. Please check config file.\")\n      end\n\n      [%{\"requestor_ref\" => requestor_ref, \"target_url\" => target_url}] = config\n      {target_url, requestor_ref}\n\n    true ->\n      endpoint =\n        args |> Keyword.get(:endpoint) || Helper.halt(\"Please provide --endpoint switch (or --target & config.yml)\")\n\n      requestor_ref =\n        args |> Keyword.get(:requestor_ref) ||\n          Helper.halt(\"Please provide --requestor-ref switch (or --target & config.yml)\")\n\n      {endpoint, requestor_ref}\n  end\n\nmessage_id = \"Test::Message::#{Ecto.UUID.generate()}\"\n\nalias Transport.SIRI\n\n# NOTE: a more dynamic dispatching will be easy to add later, at this point I'm\n# more interested in having actual queries available quickly.\nquery =\n  case request do\n    \"check_status\" ->\n      SIRI.check_status(timestamp, requestor_ref, message_id)\n\n    \"lines_discovery\" ->\n      SIRI.lines_discovery(timestamp, requestor_ref, message_id)\n\n    \"stop_points_discovery\" ->\n      SIRI.stop_points_discovery(timestamp, requestor_ref, message_id)\n\n    \"get_estimated_timetable\" ->\n      # line refs are optional in this query\n      line_refs = (args[:line_refs] || \"\") |> String.split(\",\")\n\n      SIRI.get_estimated_timetable(timestamp, requestor_ref, message_id, line_refs)\n\n    \"get_stop_monitoring\" ->\n      stop_ref = args[:stop_ref] || Helper.halt(\"Please provide --stop-ref switch\")\n      SIRI.get_stop_monitoring(timestamp, requestor_ref, message_id, stop_ref)\n\n    \"get_general_message\" ->\n      SIRI.get_general_message(timestamp, requestor_ref, message_id)\n\n    x ->\n      Helper.halt(\"Unknown request #{x}\")\n  end\n\nif args[:dump_query] do\n  IO.puts(query)\nend\n\n# TODO: fix `--target carene` (currently returning https://developer.mozilla.org/fr/docs/Web/HTTP/Status/415)\n# We probably need to pass a proper HTTP header.\n%{body: body, status: 200} = Req.post!(endpoint, query)\n\nif args[:dump_response] do\n  IO.puts(body)\nelse\n  IO.puts(\"Got 200. Add --dump-response to see the actual response. Pipe into \\\"| xmllint --format -\\\" for indentation\")\nend\n\n# NOTE: we'll parse the document (XPath) on siri:status & siri:dataready (after verifying profile) later to provide\n# a better test.\n# One must be careful with memory consumption when doing such tasks, I have benchmarked various options.\n"
  },
  {
    "path": "scripts/siri/siri_create_doc.exs",
    "content": "commands = [\n  {\"CheckStatus\", \"--target distribus --request check_status\"},\n  {\"StopPointsDiscovery\", \"--target distribus --request stop_points_discovery\"},\n  {\"LinesDiscovery\", \"--target distribus --request lines_discovery\"},\n  {\"GetEstimatedTimetable\",\n   \"--target distribus --request get_estimated_timetable --line-refs SAE_HANOVER:Line::04:LOC\"},\n  {\"GetStopMonitoring\",\n   \"--target distribus --request get_stop_monitoring --stop-ref SAE_HANOVER:StopPoint:BP:STA1A2:LOC\"},\n  {\"GetGeneralMessage\", \"--target distribus --request get_general_message\"}\n]\n\nfor {title, c} <- commands do\n  cmd = \"elixir scripts/siri/siri_check.exs #{c} --dump-response | xmllint --format -\"\n  {output, 0} = System.shell(cmd)\n\n  IO.puts(\"\\n## #{title}\")\n  IO.puts(\"\")\n  IO.puts(\"`#{cmd}`\")\n  IO.puts(\"\")\n  IO.puts(\"\")\n  IO.puts(\"<details>\")\n  IO.puts(\"<summary>Response</summary>\\n\\n\")\n  IO.puts(\"```xml\")\n  IO.puts(output)\n  IO.puts(\"```\\n\")\n  IO.puts(\"</details>\\n\")\nend\n"
  },
  {
    "path": "scripts/siri/siri_request_parsing.exs",
    "content": "Mix.install([\n  # for UUID generation\n  {:ecto, \"~> 3.8.2\"},\n  # parser and encoder\n  {:saxy, \"~> 1.4\"}\n])\n\nCode.require_file(__DIR__ |> Path.join(\"/siri_queries.exs\"))\n\ntimestamp = DateTime.utc_now() |> DateTime.to_iso8601()\nmessage_id = \"Test::Message::#{Ecto.UUID.generate()}\"\nrequestor_ref = \"MY-REF\"\n\nrequest = SIRI.stop_points_discovery(timestamp, requestor_ref, message_id)\n\n{:ok, parsed_request} = Saxy.SimpleForm.parse_string(request, cdata_as_characters: false)\n# TODO: verify input encoding (saxy only support UTF-8)\nencoded_request = Saxy.encode!(parsed_request, version: \"1.0\", encoding: :utf8)\n\nimport ExUnit.Assertions\n\n# see https://github.com/qcam/saxy/issues/101\nencoded_request =\n  encoded_request |> String.replace(~S(encoding=\"utf-8\"?>), ~S(encoding=\"UTF-8\"?>) <> \"\\n\") |> String.trim()\n\nrequest = request |> String.trim()\n# File.write!(\"input.xml\", request |> String.trim())\n# File.write!(\"output.xml\", encoded_request |> String.trim())\n# System.shell(\"colordiff input.xml output.xml\", into: IO.stream())\nassert request == encoded_request\n"
  },
  {
    "path": "scripts/subquery.exs",
    "content": "import Ecto.Query\n\nnorth = 46.5\nsouth = 45.2\n\neast = -0.9\nwest = -1.2\n\nsnap_x = 0.05\nsnap_y = 0.06\n\nclusters =\n  from(gs in \"gtfs_stops\")\n  |> select([gs], %{\n    cluster: selected_as(fragment(\"ST_SnapToGrid(geom, ?, ?)\", ^snap_x, ^snap_y), :cluster),\n    count: selected_as(fragment(\"count(*)\"), :count)\n  })\n  |> where(\n    [gs],\n    fragment(\"? between ? and ?\", gs.stop_lon, ^west, ^east) and\n      fragment(\"? between ? and ?\", gs.stop_lat, ^south, ^north)\n  )\n  |> group_by([gs], selected_as(:cluster))\n\nfrom(e in subquery(clusters))\n|> select([e], %{\n  lon: selected_as(fragment(\"ST_X(ST_TRANSFORM(cluster, 4326))\"), :cluster_lon),\n  lat: selected_as(fragment(\"ST_Y(ST_TRANSFORM(cluster, 4326))\"), :cluster_lat),\n  c: selected_as(fragment(\"count\"), :count)\n})\n|> where([e], e.count > 0)\n|> DB.Repo.all()\n|> IO.inspect()\n\ncount =\n  from(gs in \"gtfs_stops\")\n  |> where(\n    [gs],\n    fragment(\"? between ? and ?\", gs.stop_lon, ^west, ^east) and\n      fragment(\"? between ? and ?\", gs.stop_lat, ^south, ^north)\n  )\n  |> DB.Repo.aggregate(:count, :id)\n\nIO.puts(\"Count = #{count}\")\n"
  }
]