[
  {
    "path": ".cargo/audit.toml",
    "content": "[yanked]\nenabled = false # doesn't work in Nix sandbox\nupdate_index = false # crates.io index managed by Nix\n"
  },
  {
    "path": ".envrc",
    "content": "use flake\n"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/bug_report.md",
    "content": "---\nname: Bug report\nabout: Create a report to help us improve\ntitle: ''\nlabels: bug\nassignees: ''\n\n---\n\n**Describe the bug**\n\n\n**To Reproduce**\n\nAttach example file:\n\nRun command:\n\n**Output**\n\n**Screenshots**\nIf applicable, add screenshots to help explain your problem.\n\n**Operating System and Version**\n\n\n**Output of `rga --version`**\n"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/feature_request.md",
    "content": "---\nname: Feature request\nabout: Suggest an idea for this project\ntitle: ''\nlabels: ''\nassignees: ''\n\n---\n\n**Is your feature request related to a problem? Please describe.**\nA clear and concise description of what the problem is. Ex. I'm always frustrated when [...]\n\n**Describe the solution you'd like**\nA clear and concise description of what you want to happen.\n\n**Describe alternatives you've considered**\nA clear and concise description of any alternative solutions or features you've considered.\n\n**Additional context**\nAdd any other context or screenshots about the feature request here.\n"
  },
  {
    "path": ".github/workflows/ci.yml",
    "content": "# Based on https://github.com/actions-rs/meta/blob/master/recipes/quickstart.md\n#\n# While our \"example\" application has platform-specific code,\n# for simplicity we are compiling and testing everything in a nix-on-Linux environment only.\n\non: [push, pull_request]\n\nname: ci\n\njobs:\n  nix-flake-check:\n    name: nix flake check\n    runs-on: ubuntu-latest\n    steps:\n      - name: Checkout sources\n        uses: actions/checkout@v4\n\n      - name: Install nix\n        uses: cachix/install-nix-action@v21\n\n      - name: Ensure the build succeeds\n        run: nix build\n\n      - name: Run `nix flake check` to run formatters, linters, and tests\n        run: nix flake check --print-build-logs\n"
  },
  {
    "path": ".github/workflows/release.yml",
    "content": "# adapted from https://github.com/BurntSushi/ripgrep/blob/master/.github/workflows/release.yml\n# The way this works is a little weird. But basically, the create-release job\n# runs purely to initialize the GitHub release itself. Once done, the upload\n# URL of the release is saved as an artifact.\n#\n# The build-release job runs only once create-release is finished. It gets\n# the release upload URL by downloading the corresponding artifact (which was\n# uploaded by create-release). It then builds the release executables for each\n# supported platform and attaches them as release assets to the previously\n# created release.\n#\n# The key here is that we create the release only once.\n\nname: release\non:\n  push:\n    # Enable when testing release infrastructure on a branch.\n    # branches:\n    # - ag/release\n    tags:\n      - \"v[0-9]+.[0-9]+.[0-9]+*\"\njobs:\n  create-release:\n    permissions: write-all\n    name: create-release\n    runs-on: ubuntu-latest\n    # env:\n    # Set to force version number, e.g., when no tag exists.\n    # RG_VERSION: TEST-0.0.0\n    steps:\n      - name: Create artifacts directory\n        run: mkdir artifacts\n\n      - name: Get the release version from the tag\n        if: env.RG_VERSION == ''\n        run: |\n          # Apparently, this is the right way to get a tag name. Really?\n          #\n          # See: https://github.community/t5/GitHub-Actions/How-to-get-just-the-tag-name/m-p/32167/highlight/true#M1027\n          echo \"RG_VERSION=${GITHUB_REF#refs/tags/}\" >> $GITHUB_ENV\n          echo \"version is: ${{ env.RG_VERSION }}\"\n\n      - name: Create GitHub release\n        id: release\n        uses: actions/create-release@v1\n        env:\n          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}\n        with:\n          tag_name: ${{ env.RG_VERSION }}\n          release_name: ${{ env.RG_VERSION }}\n\n      - name: Save release upload URL to artifact\n        run: echo \"${{ steps.release.outputs.upload_url }}\" > artifacts/release-upload-url\n\n      - name: Save version number to artifact\n        run: echo \"${{ env.RG_VERSION }}\" > artifacts/release-version\n\n      - name: Upload artifacts\n        uses: actions/upload-artifact@v4\n        with:\n          name: artifacts\n          path: artifacts\n\n  build-release:\n    name: build-release\n    needs: [\"create-release\"]\n    runs-on: ${{ matrix.os }}\n    env:\n      # For some builds, we use cross to test on 32-bit and big-endian\n      # systems.\n      CARGO: cargo\n      # When CARGO is set to CROSS, this is set to `--target matrix.target`.\n      TARGET_FLAGS: \"\"\n      # When CARGO is set to CROSS, TARGET_DIR includes matrix.target.\n      TARGET_DIR: ./target\n      # Emit backtraces on panics.\n      RUST_BACKTRACE: 1\n    strategy:\n      matrix:\n        include:\n          - build: linux\n            os: ubuntu-22.04\n            rust: nightly\n            target: x86_64-unknown-linux-musl\n            strip: x86_64-linux-musl-strip\n          - build: linux\n            os: ubuntu-22.04\n            rust: nightly\n            target: arm-unknown-linux-gnueabihf\n            strip: arm-linux-gnueabihf-strip\n          - build: linux\n            os: ubuntu-22.04\n            rust: nightly\n            target: aarch64-unknown-linux-gnu\n            strip: aarch64-linux-gnu-strip\n          - build: macos\n            os: macos-latest\n            rust: nightly\n            target: x86_64-apple-darwin\n          - build: macos\n            os: macos-latest\n            rust: nightly\n            target: aarch64-apple-darwin\n          - build: win\n            os: windows-2025\n            rust: nightly\n            target: x86_64-pc-windows-msvc\n          #- build: win\n          #  os: windows-2019\n          #  rust: nightly-x86_64-gnu\n          #  target: x86_64-pc-windows-gnu\n\n    steps:\n      - name: Checkout repository\n        uses: actions/checkout@v4\n        with:\n          fetch-depth: 1\n\n      - name: Install packages (Ubuntu)\n        if: matrix.build == 'linux'\n        run: |\n          ci/ubuntu-install-packages\n\n      - name: Install packages (macOS)\n        if: matrix.build == 'macos'\n        run: |\n          ci/macos-install-packages\n\n      - name: Install Rust\n        uses: actions-rs/toolchain@v1\n        with:\n          toolchain: ${{ matrix.rust }}\n          profile: minimal\n          override: true\n          target: ${{ matrix.target }}\n\n      - name: Use Cross\n        shell: bash\n        run: |\n          cargo install cross\n          echo \"CARGO=cross\" >> $GITHUB_ENV\n          echo \"TARGET_FLAGS=--target ${{ matrix.target }}\" >> $GITHUB_ENV\n          echo \"TARGET_DIR=./target/${{ matrix.target }}\" >> $GITHUB_ENV\n\n      - name: Show command used for Cargo\n        run: |\n          echo \"cargo command is: ${{ env.CARGO }}\"\n          echo \"target flag is: ${{ env.TARGET_FLAGS }}\"\n          echo \"target dir is: ${{ env.TARGET_DIR }}\"\n\n      - name: Get release download URL\n        uses: actions/download-artifact@v4\n        with:\n          name: artifacts\n          path: artifacts\n\n      - name: Set release upload URL and release version\n        shell: bash\n        run: |\n          echo \"RELEASE_UPLOAD_URL=$(cat artifacts/release-upload-url)\" >> $GITHUB_ENV\n          echo \"release upload url: $RELEASE_UPLOAD_URL\"\n          echo \"RELEASE_VERSION=$(cat artifacts/release-version)\" >> $GITHUB_ENV\n          echo \"release version: $RELEASE_VERSION\"\n\n      - name: Build release binary\n        run: ${{ env.CARGO }} build --verbose --release ${{ env.TARGET_FLAGS }}\n\n      - name: Strip release binary (macos)\n        if: matrix.build == 'macos'\n        run: |\n          strip \"target/${{ matrix.target }}/release/rga\" \\\n            \"target/${{ matrix.target }}/release/rga-preproc\" \\\n            \"target/${{ matrix.target }}/release/rga-fzf\" \\\n            \"target/${{ matrix.target }}/release/rga-fzf-open\"\n\n      - name: Strip release binary (linux)\n        if: matrix.build == 'linux'\n        run: |\n          docker run --rm -v \\\n            \"$PWD/target:/target:Z\" \\\n            \"rustembedded/cross:${{ matrix.target }}\" \\\n            \"${{ matrix.strip }}\" \\\n            \"/target/${{ matrix.target }}/release/rga\" \\\n            \"/target/${{ matrix.target }}/release/rga-preproc\" \\\n            \"/target/${{ matrix.target }}/release/rga-fzf\" \\\n            \"/target/${{ matrix.target }}/release/rga-fzf-open\"\n\n      - name: Build archive\n        shell: bash\n        run: |\n          staging=\"ripgrep_all-${{ env.RELEASE_VERSION }}-${{ matrix.target }}\"\n          mkdir -p \"$staging\"/doc\n\n          cp {README.md,LICENSE.md} \"$staging/\"\n          cp CHANGELOG.md \"$staging/doc/\"\n\n          if [ \"${{ matrix.build }}\" = \"win\" ]; then\n            cp \"target/${{ matrix.target }}/release/rga.exe\" \"$staging/\"\n            cp \"target/${{ matrix.target }}/release/rga-preproc.exe\" \"$staging/\"\n            cp \"target/${{ matrix.target }}/release/rga-fzf.exe\" \"$staging/\"\n            cp \"target/${{ matrix.target }}/release/rga-fzf-open.exe\" \"$staging/\"\n            7z a \"$staging.zip\" \"$staging\"\n            echo \"ASSET=$staging.zip\" >> $GITHUB_ENV\n          else\n            cp \"target/${{ matrix.target }}/release/rga\" \"$staging/\"\n            cp \"target/${{ matrix.target }}/release/rga-preproc\" \"$staging/\"\n            cp \"target/${{ matrix.target }}/release/rga-fzf\" \"$staging/\"\n            cp \"target/${{ matrix.target }}/release/rga-fzf-open\" \"$staging/\"\n            tar czf \"$staging.tar.gz\" \"$staging\"\n            echo \"ASSET=$staging.tar.gz\" >> $GITHUB_ENV\n          fi\n\n      - name: Upload release archive\n        uses: actions/upload-release-asset@v1.0.1\n        env:\n          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}\n        with:\n          upload_url: ${{ env.RELEASE_UPLOAD_URL }}\n          asset_path: ${{ env.ASSET }}\n          asset_name: ${{ env.ASSET }}\n          asset_content_type: application/octet-stream\n"
  },
  {
    "path": ".gitignore",
    "content": "/result\n/target\n/exampledir.2\n/.idea\n/.pre-commit-config.yaml\n/.vscode/settings.json\n**/*.rs.bk\n"
  },
  {
    "path": ".typos.toml",
    "content": "[default.extend-words]\nals = \"als\"\n\n[files]\nextend-exclude = [\"exampledir/*\"]\n"
  },
  {
    "path": ".vscode/launch.json",
    "content": "{\n  // Use IntelliSense to learn about possible attributes.\n  // Hover to view descriptions of existing attributes.\n  // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387\n  \"version\": \"0.2.0\",\n  \"configurations\": [\n    {\n      \"type\": \"lldb\",\n      \"request\": \"attach\",\n      \"name\": \"Attach\",\n      \"program\": \"${workspaceFolder}/target/release/rga-preproc\"\n    },\n    {\n      \"type\": \"lldb\",\n      \"request\": \"launch\",\n      \"name\": \"Debug unit tests in library 'rga'\",\n      \"cargo\": {\n        \"args\": [\"test\", \"--no-run\", \"--lib\", \"--package=rga\"],\n        \"filter\": {\n          \"name\": \"rga\",\n          \"kind\": \"lib\"\n        }\n      },\n      \"args\": [],\n      \"cwd\": \"${workspaceFolder}\"\n    },\n    {\n      \"type\": \"lldb\",\n      \"request\": \"launch\",\n      \"name\": \"Debug executable 'rga'\",\n      \"cargo\": {\n        \"args\": [\"build\", \"--bin=rga\"],\n        \"filter\": {\n          \"name\": \"rga\",\n          \"kind\": \"bin\"\n        }\n      },\n      \"args\": [],\n      \"cwd\": \"${workspaceFolder}\"\n    },\n    {\n      \"type\": \"lldb\",\n      \"request\": \"launch\",\n      \"name\": \"Debug unit tests in executable 'rga'\",\n      \"cargo\": {\n        \"args\": [\"test\", \"--no-run\", \"--bin=rga\", \"--package=ripgrep-all\"],\n        \"filter\": {\n          \"name\": \"rga\",\n          \"kind\": \"bin\"\n        }\n      },\n      \"args\": [],\n      \"cwd\": \"${workspaceFolder}\"\n    },\n    {\n      \"type\": \"lldb\",\n      \"request\": \"launch\",\n      \"name\": \"Debug executable 'rga-preproc'\",\n      \"cargo\": {\n        \"args\": [\"build\", \"--bin=rga-preproc\"],\n        \"filter\": {\n          \"name\": \"rga-preproc\",\n          \"kind\": \"bin\"\n        }\n      },\n      \"args\": [\"exampledir/tar/test.tar.bz2\"],\n      \"cwd\": \"${workspaceFolder}\"\n    },\n    {\n      \"type\": \"lldb\",\n      \"request\": \"launch\",\n      \"name\": \"Debug unit tests in executable 'rga-preproc'\",\n      \"cargo\": {\n        \"args\": [\"test\", \"--no-run\", \"--bin=rga-preproc\", \"--package=rga\"],\n        \"filter\": {\n          \"name\": \"rga-preproc\",\n          \"kind\": \"bin\"\n        }\n      },\n      \"args\": [],\n      \"cwd\": \"${workspaceFolder}\"\n    }\n  ]\n}\n"
  },
  {
    "path": "CHANGELOG.md",
    "content": "# 0.10.5 (2024-01-16)\n\n- return the same exit status as rg\n\n# 0.10.4 (2024-01-16)\n\n- add `--rga-no-prefix-filenames` flag (https://github.com/phiresky/ripgrep-all/issues/154)\n\n# 0.10.3 (2024-01-15)\n\nThis was originally supposed to be version 1.0.0, but I don't feel confident enough in the stability to call it that.\n\nHighlights:\n\n- rga is now configurable via a config file (~/.config/ripgrep-all/config.jsonc) that is generated on first use, including schema.\n- Custom subprocess-spawning adapters can be defined via config file. See https://github.com/phiresky/ripgrep-all/wiki\n- External adapters can be shared with the community at https://github.com/phiresky/ripgrep-all/discussions\n\nOthers:\n\n- mbox adapter (@FliegendeWurst https://github.com/phiresky/ripgrep-all/pull/104)\n- auto generate parts of the readme\n- add loads of debug logs and performance timings when `--debug` is used\n- better error messages via `anyhow`\n- add cross-platform rga-fzf binary\n- change whole code base to be async\n- change adapter interface from `(&Read, &Write) -> ()` to `AsyncRead -> AsyncRead` to allow chaining of adapters\n\n# 0.9.6 (2020-05-19)\n\n- Fix windows builds\n- Case insensitive file extension matching\n- Move to Github Actions instead of Travis\n- Fix searching for words that are hyphenated in PDFs (#44)\n- Always load rga-preproc binary from location where rga is\n\n# 0.9.5 (2020-04-08)\n\n- Allow search in pdf files without extension (https://github.com/phiresky/ripgrep-all/issues/39)\n- Prefer shipped binaries to system-installed ones (https://github.com/phiresky/ripgrep-all/issues/32)\n- Upgrade dependencies\n\n# 0.9.3 (2019-09-19)\n\n- Fix compilation on new Rust by updating rusqlite ([#25](https://github.com/phiresky/ripgrep-all/pull/25))\n\n# 0.9.2 (2019-06-17)\n\n- Fix file ending regex ([#13](https://github.com/phiresky/ripgrep-all/issues/13))\n- Fix decoding of UTF16 with BOM ([#5](https://github.com/phiresky/ripgrep-all/issues/5))\n- Shorten the output on failure to two lines (https://github.com/phiresky/ripgrep-all/issues/7), you can use `--no-messages` to completely suppress errors.\n- Better installations instructions in readme for each OS\n- Add windows binaries! Including all dependencies!\n\n# 0.9.1 (2019-06-16)\n\n- Add enabled adapters to cache key if caching for archive\n- Prevent empty trailing page output in pdf reader\n\n# 0.9.0 (2019-06-16)\n\n- Split decompress and tar adapter so we can also read pure .bz2 files etc\n- Add mime type detection to decompress so we can read e.g. /boot/initramfs.img which is a bz2 file without ending\n\n# 0.8.9 (2019-06-15)\n\n- Finally fix linux binary package\n- add readme to crates.io\n\n# 0.8.7 (2019-06-15)\n\nMinor fixes\n\n- Correctly wrap help text\n- Show own help when no arguments given\n- Hopefully package the rga binary correctly\n\n# 0.8.5\n\nprevious changes not documented\n"
  },
  {
    "path": "Cargo.toml",
    "content": "[package]\nauthors = [\"phiresky <phireskyde+git@gmail.com>\"]\ndescription = \"rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.\"\nedition = \"2024\"\nexclude = [\n  \"exampledir/*\",\n]\nhomepage = \"https://github.com/phiresky/ripgrep-all\"\nlicense = \"AGPL-3.0-or-later\"\nname = \"ripgrep_all\"\nreadme = \"README.md\"\nrepository = \"https://github.com/phiresky/ripgrep-all\"\nversion = \"0.10.10\"\n\n[features]\ndefault = [\"perf-literal\"]\nperf-literal = [\"regex/perf-literal\"]\n\n# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html\n\n[dependencies]\nanyhow = {version = \"1.0.71\", features = [\"backtrace\"]}\nasync-compression = { version = \"0.4.0\", features = [\"all\", \"all-algorithms\", \"tokio\"] }\nasync-stream = \"0.3.5\"\nasync-trait = \"0.1.68\"\nasync_zip = {version = \"0.0.12\", features = [\"full\"]}\nbincode = \"1.3.3\"\nbytes = \"1.4.0\"\nclap = {version = \"4.3.0\", features = [\"wrap_help\"]}\ncrossbeam = \"0.8.2\"\ncrossbeam-channel = \"0.5.8\"\nderive_more = \"0.99.17\"\ndirectories-next = \"2.0.0\"\ndyn-clonable = \"0.9.0\"\ndyn-clone = \"1.0.11\"\nencoding_rs = \"0.8.32\"\nencoding_rs_io = \"0.1.7\"\nenv_logger = \"0.10.0\"\nglob = \"0.3.1\"\njson_comments = \"0.2.1\"\nlazy_static = \"1.4.0\"\nlog = \"0.4.17\"\nmailparse = \"0.14.0\"\nmemchr = \"2.5.0\"\nmime2ext = \"0.1.52\"\nopen = \"5\"\npaste = \"1.0.12\"\npath-clean = \"1.0.1\"\npretty-bytes = \"0.2.2\"\nregex = \"1.8.2\"\nrusqlite = {version = \"0.30.0\", features = [\"vtab\", \"bundled\"]}\nschemars = {version = \"0.8.12\", features = [\"preserve_order\"]}\nserde = {version = \"1.0.163\", features = [\"derive\"]}\nserde_json = \"1.0.96\"\nsize_format = \"1.0.2\"\nstructopt = \"0.3.26\"\ntempfile = \"3.5.0\"\ntokio = {version = \"1.28.1\", features = [\"full\"]}\ntokio-rusqlite = \"0.5.0\"\ntokio-stream = {version = \"0.1.14\", features = [\"io-util\", \"tokio-util\"]}\nastral-tokio-tar =  \"0.5.6\" \ntokio-util = {version = \"0.7.8\", features = [\"io\", \"full\"]}\ntree_magic = {package = \"tree_magic_mini\", version = \"3.0.3\"}\n\n[dev-dependencies]\nasync-recursion = \"1.0.4\"\nctor = \"0.2.0\"\npretty_assertions = \"1.3.0\"\ntempfile = \"3.5.0\"\ntokio-test = \"0.4.2\"\n\n[profile.release]\ndebug = true\nlto = \"thin\"\nsplit-debuginfo = \"packed\"\n"
  },
  {
    "path": "LICENSE.md",
    "content": "I like the concept of giving back, so I settled on the AGPL as the\ndefault license for all my personal projects.\n\nThis isn't set in stone, so feel free to write me at\n`phireskyde+git@gmail.com` if you need something else.\n\n---\n\n### GNU AFFERO GENERAL PUBLIC LICENSE\n\nVersion 3, 19 November 2007\n\nCopyright © 2007 Free Software Foundation, Inc.\n&lt;<http://fsf.org/>&gt;\n\nEveryone is permitted to copy and distribute verbatim copies of this\nlicense document, but changing it is not allowed.\n\n### Preamble\n\nThe 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\nThe licenses for most software and other practical works are designed to\ntake away your freedom to share and change the works. By contrast, our\nGeneral Public Licenses are intended to guarantee your freedom to share\nand change all versions of a program--to make sure it remains free\nsoftware for all its users.\n\nWhen we speak of free software, we are referring to freedom, not price.\nOur General Public Licenses are designed to make sure that you have the\nfreedom to distribute copies of free software (and charge for them if\nyou wish), that you receive source code or can get it if you want it,\nthat you can change the software or use pieces of it in new free\nprograms, and that you know you can do these things.\n\nDevelopers that use our General Public Licenses protect your rights with\ntwo steps: (1) assert copyright on the software, and (2) offer you this\nLicense which gives you legal permission to copy, distribute and/or\nmodify the software.\n\nA secondary benefit of defending all users' freedom is that improvements\nmade in alternate versions of the program, if they receive widespread\nuse, become available for other developers to incorporate. Many\ndevelopers of free software are heartened and encouraged by the\nresulting cooperation. However, in the case of software used on network\nservers, this result may fail to come about. The GNU General Public\nLicense permits making a modified version and letting the public access\nit on a server without ever releasing its source code to the public.\n\nThe GNU Affero General Public License is designed specifically to ensure\nthat, in such cases, the modified source code becomes available to the\ncommunity. It requires the operator of a network server to provide the\nsource code of the modified version running there to the users of that\nserver. Therefore, public use of a modified version, on a publicly\naccessible server, gives the public access to the source code of the\nmodified version.\n\nAn older license, called the Affero General Public License and published\nby Affero, was designed to accomplish similar goals. This is a different\nlicense, not a version of the Affero GPL, but Affero has released a new\nversion of the Affero GPL which permits relicensing under this license.\n\nThe 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\nLicense.\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\nTo \"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\nA \"covered work\" means either the unmodified Program or a work based on\nthe Program.\n\nTo \"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\nTo \"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\nAn interactive user interface displays \"Appropriate Legal Notices\" to\nthe extent that it includes a convenient and prominently visible feature\nthat (1) displays an appropriate copyright notice, and (2) tells the\nuser that there is no warranty for the work (except to the extent that\nwarranties are provided), that licensees may convey the work under this\nLicense, and how to view a copy of this License. If the interface\npresents a list of user commands or options, such as a menu, a prominent\nitem in the list meets this criterion.\n\n#### 1. Source Code.\n\nThe \"source code\" for a work means the preferred form of the work for\nmaking modifications to it. \"Object code\" means any non-source form of a\nwork.\n\nA \"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 is\nwidely used among developers working in that language.\n\nThe \"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 Major\nComponent, or to implement a Standard Interface for which an\nimplementation is available to the public in source code form. A \"Major\nComponent\", in this context, means a major essential component (kernel,\nwindow system, and so on) of the specific operating system (if any) on\nwhich the executable work runs, or a compiler used to produce the work,\nor an object code interpreter used to run it.\n\nThe \"Corresponding Source\" for a work in object code form means all the\nsource code needed to generate, install, and (for an executable work)\nrun the object code and to modify the work, including scripts to control\nthose activities. However, it does not include the work's System\nLibraries, or general-purpose tools or generally available free programs\nwhich are used unmodified in performing those activities but which are\nnot part of the work. For example, Corresponding Source includes\ninterface definition files associated with source files for the work,\nand the source code for shared libraries and dynamically linked\nsubprograms that the work is specifically designed to require, such as\nby intimate data communication or control flow between those subprograms\nand other parts of the work.\n\nThe Corresponding Source need not include anything that users can\nregenerate automatically from other parts of the Corresponding Source.\n\nThe Corresponding Source for a work in source code form is that same\nwork.\n\n#### 2. Basic Permissions.\n\nAll 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\nYou may make, run and propagate covered works that you do not convey,\nwithout conditions so long as your license otherwise remains in force.\nYou may convey covered works to others for the sole purpose of having\nthem make modifications exclusively for you, or provide you with\nfacilities for running those works, provided that you comply with the\nterms of this License in conveying all material for which you do not\ncontrol copyright. Those thus making or running the covered works for\nyou must do so exclusively on your behalf, under your direction and\ncontrol, on terms that prohibit them from making any copies of your\ncopyrighted material outside their relationship with you.\n\nConveying under any other circumstances is permitted solely under the\nconditions stated below. Sublicensing is not allowed; section 10 makes\nit unnecessary.\n\n#### 3. Protecting Users' Legal Rights From Anti-Circumvention Law.\n\nNo covered work shall be deemed part of an effective technological\nmeasure under any applicable law fulfilling obligations under article 11\nof the WIPO copyright treaty adopted on 20 December 1996, or similar\nlaws prohibiting or restricting circumvention of such measures.\n\nWhen 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 the\ncovered 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\nYou 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; keep\nintact all notices stating that this License and any non-permissive\nterms added in accord with section 7 apply to the code; keep intact all\nnotices of the absence of any warranty; and give all recipients a copy\nof this License along with the Program.\n\nYou may charge any price or no price for each copy that you convey, and\nyou may offer support or warranty protection for a fee.\n\n#### 5. Conveying Modified Source Versions.\n\nYou may convey a work based on the Program, or the modifications to\nproduce it from the Program, in the form of source code under the terms\nof section 4, provided that you also meet all of these conditions:\n\n-   a\\) The work must carry prominent notices stating that you modified it,\n    and giving a relevant date.\n-   b\\) The work must carry prominent notices stating that it is released\n    under this License and any conditions added under section 7. This\n    requirement modifies the requirement in section 4 to \"keep intact\n    all notices\".\n-   c\\) You must license the entire work, as a whole, under this License to\n    anyone who comes into possession of a copy. This License will therefore\n    apply, along with any applicable section 7 additional terms, to the\n    whole of the work, and all its parts, regardless of how they\n    are packaged. This License gives no permission to license the work in\n    any other way, but it does not invalidate such permission if you have\n    separately received it.\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 work need\n    not make them do so.\n\nA compilation of a covered work with other separate and independent\nworks, which are not by their nature extensions of the covered work, and\nwhich are not combined with it such as to form a larger program, in or\non a volume of a storage or distribution medium, is called an\n\"aggregate\" if the compilation and its resulting copyright are not used\nto limit the access or legal rights of the compilation's users beyond\nwhat the individual works permit. Inclusion of a covered work in an\naggregate does not cause this License to apply to the other parts of the\naggregate.\n\n#### 6. Conveying Non-Source Forms.\n\nYou may convey a covered work in object code form under the terms of\nsections 4 and 5, provided that you also convey the machine-readable\nCorresponding Source under the terms of this License, in one of these\nways:\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 customarily used\n    for software interchange.\n-   b\\) Convey the object code in, or embodied in, a physical product\n    (including a physical distribution medium), accompanied by a written\n    offer, valid for at least three years and valid for as long as you offer\n    spare parts or customer support for that product model, to give anyone\n    who possesses the object code either (1) a copy of the Corresponding\n    Source for all the software in the product that is covered by this\n    License, on a durable physical medium customarily used for software\n    interchange, for a price no more than your reasonable cost of physically\n    performing this conveying of source, or (2) access to copy the\n    Corresponding Source from a network server at no charge.\n-   c\\) Convey individual copies of the object code with a copy of the\n    written offer to provide the Corresponding Source. This alternative is\n    allowed only occasionally and noncommercially, and only if you received\n    the object code with such an offer, in accord with subsection 6b.\n-   d\\) Convey the object code by offering access from a designated place\n    (gratis or for a charge), and offer equivalent access to the\n    Corresponding Source in the same way through the same place at no\n    further charge. You need not require recipients to copy the\n    Corresponding Source along with the object code. If the place to copy\n    the object code is a network server, the Corresponding Source may be on\n    a different server (operated by you or a third party) that supports\n    equivalent copying facilities, provided you maintain clear directions\n    next to the object code saying where to find the Corresponding Source.\n    Regardless of what server hosts the Corresponding Source, you remain\n    obligated to ensure that it is available for as long as needed to\n    satisfy these requirements.\n-   e\\) Convey the object code using peer-to-peer transmission, provided you\n    inform other peers where the object code and Corresponding Source of the\n    work are being offered to the general public at no charge under\n    subsection 6d.\n\nA separable portion of the object code, whose source code is excluded\nfrom the Corresponding Source as a System Library, need not be included\nin conveying the object code work.\n\nA \"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\nincorporation into a dwelling. In determining whether a product is a\nconsumer product, doubtful cases shall be resolved in favor of coverage.\nFor a particular product received by a particular user, \"normally used\"\nrefers to a typical or common use of that class of product, regardless\nof the status of the particular user or of the way in which the\nparticular user actually uses, or expects or is expected to use, the\nproduct. A product is a consumer product regardless of whether the\nproduct has substantial commercial, industrial or non-consumer uses,\nunless such uses represent the only significant mode of use of the\nproduct.\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\nfrom a modified version of its Corresponding Source. The information\nmust suffice to ensure that the continued functioning of the modified\nobject code is in no case prevented or interfered with solely because\nmodification has been made.\n\nIf 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 by\nthe Installation Information. But this requirement does not apply if\nneither you nor any third party retains the ability to install modified\nobject code on the User Product (for example, the work has been\ninstalled in ROM).\n\nThe 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\nCorresponding Source conveyed, and Installation Information provided, in\naccord with this section must be in a format that is publicly documented\n(and with an implementation available to the public in source code\nform), and must require no special password or key for unpacking,\nreading 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 this\nLicense without regard to the additional permissions.\n\nWhen you convey a copy of a covered work, you may at your option remove\nany additional permissions from that copy, or from any part of it.\n(Additional permissions may be written to require their own removal in\ncertain cases when you modify the work.) You may place additional\npermissions on material, added by you to a covered work, for which you\nhave or can give appropriate copyright permission.\n\nNotwithstanding any other provision of this License, for material you\nadd to a covered work, you may (if authorized by the copyright holders\nof that material) supplement the terms of this License with terms:\n\n-   a\\) Disclaiming warranty or limiting liability differently from the terms\n    of sections 15 and 16 of this License; or\n-   b\\) Requiring preservation of specified reasonable legal notices or\n    author attributions in that material or in the Appropriate Legal Notices\n    displayed by works containing it; or\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-   d\\) Limiting the use for publicity purposes of names of licensors or\n    authors of the material; or\n-   e\\) Declining to grant rights under trademark law for use of some trade\n    names, trademarks, or service marks; or\n-   f\\) Requiring indemnification of licensors and authors of that material\n    by anyone who conveys the material (or modified versions of it) with\n    contractual assumptions of liability to the recipient, for any liability\n    that these contractual assumptions directly impose on those licensors\n    and authors.\n\nAll 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 a\nfurther restriction but permits relicensing or conveying under this\nLicense, you may add to a covered work material governed by the terms of\nthat license document, provided that the further restriction does not\nsurvive such relicensing or conveying.\n\nIf you add terms to a covered work in accord with this section, you must\nplace, in the relevant source files, a statement of the additional terms\nthat apply to those files, or a notice indicating where to find the\napplicable terms.\n\nAdditional terms, permissive or non-permissive, may be stated in the\nform of a separately written license, or stated as exceptions; the above\nrequirements apply either way.\n\n#### 8. Termination.\n\nYou 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\nHowever, if you cease all violation of this License, then your license\nfrom a particular copyright holder is reinstated (a) provisionally,\nunless and until the copyright holder explicitly and finally terminates\nyour license, and (b) permanently, if the copyright holder fails to\nnotify you of the violation by some reasonable means prior to 60 days\nafter the cessation.\n\nMoreover, your license from a particular copyright holder is reinstated\npermanently if the copyright holder notifies you of the violation by\nsome reasonable means, this is the first time you have received notice\nof violation of this License (for any work) from that copyright holder,\nand you cure the violation prior to 30 days after your receipt of the\nnotice.\n\nTermination 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\nYou are not required to accept this License in order to receive or run a\ncopy of the Program. Ancillary propagation of a covered work occurring\nsolely as a consequence of using peer-to-peer transmission to receive a\ncopy likewise does not require acceptance. However, nothing other than\nthis License grants you permission to propagate or modify any covered\nwork. These actions infringe copyright if you do not accept this\nLicense. Therefore, by modifying or propagating a covered work, you\nindicate your acceptance of this License to do so.\n\n#### 10. Automatic Licensing of Downstream Recipients.\n\nEach 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\nAn \"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 work\nresults from an entity transaction, each party to that transaction who\nreceives a copy of the work also receives whatever licenses to the work\nthe party's predecessor in interest had or could give under the previous\nparagraph, plus a right to possession of the Corresponding Source of the\nwork from the predecessor in interest, if the predecessor has it or can\nget it with reasonable efforts.\n\nYou may not impose any further restrictions on the exercise of the\nrights granted or affirmed under this License. For example, you may not\nimpose a license fee, royalty, or other charge for exercise of rights\ngranted under this License, and you may not initiate litigation\n(including a cross-claim or counterclaim in a lawsuit) alleging that any\npatent claim is infringed by making, using, selling, offering for sale,\nor importing the Program or any portion of it.\n\n#### 11. Patents.\n\nA \"contributor\" is a copyright holder who authorizes use under this\nLicense of the Program or a work on which the Program is based. The work\nthus licensed is called the contributor's \"contributor version\".\n\nA contributor's \"essential patent claims\" are all patent claims owned or\ncontrolled by the contributor, whether already acquired or hereafter\nacquired, that would be infringed by some manner, permitted by this\nLicense, of making, using, or selling its contributor version, but do\nnot include claims that would be infringed only as a consequence of\nfurther modification of the contributor version. For purposes of this\ndefinition, \"control\" includes the right to grant patent sublicenses in\na manner consistent with the requirements of this License.\n\nEach contributor grants you a non-exclusive, worldwide, royalty-free\npatent license under the contributor's essential patent claims, to make,\nuse, sell, offer for sale, import and otherwise run, modify and\npropagate the contents of its contributor version.\n\nIn 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\nIf you convey a covered work, knowingly relying on a patent license, and\nthe Corresponding Source of the work is not available for anyone to\ncopy, 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\nIf, 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 or\nconvey a specific copy of the covered work, then the patent license you\ngrant is automatically extended to all recipients of the covered work\nand works based on it.\n\nA patent license is \"discriminatory\" if it does not include within the\nscope of its coverage, prohibits the exercise of, or is conditioned on\nthe non-exercise of one or more of the rights that are specifically\ngranted under this License. You may not convey a covered work if you are\na party to an arrangement with a third party that is in the business of\ndistributing software, under which you make payment to the third party\nbased on the extent of your activity of conveying the work, and under\nwhich the third party grants, to any of the parties who would receive\nthe covered work from you, a discriminatory patent license (a) in\nconnection with copies of the covered work conveyed by you (or copies\nmade from those copies), or (b) primarily for and in connection with\nspecific products or compilations that contain the covered work, unless\nyou entered into that arrangement, or that patent license was granted,\nprior to 28 March 2007.\n\nNothing in this License shall be construed as excluding or limiting any\nimplied license or other defenses to infringement that may otherwise be\navailable to you under applicable patent law.\n\n#### 12. No Surrender of Others' Freedom.\n\nIf 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\nmay not convey it at all. For example, if you agree to terms that\nobligate you to collect a royalty for further conveying from those to\nwhom you convey the Program, the only way you could satisfy both those\nterms and this License would be to refrain entirely from conveying the\nProgram.\n\n#### 13. Remote Network Interaction; Use with the GNU General Public License.\n\nNotwithstanding 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\nNotwithstanding any other provision of this License, you have permission\nto link or combine any covered work with a work licensed under version 3\nof the GNU General Public License into a single combined work, and to\nconvey the resulting work. The terms of this License will continue to\napply to the part which is the covered work, but the work with which it\nis combined will remain governed by version 3 of the GNU General Public\nLicense.\n\n#### 14. Revised Versions of this License.\n\nThe Free Software Foundation may publish revised and/or new versions of\nthe GNU Affero General Public License from time to time. Such new\nversions will be similar in spirit to the present version, but may\ndiffer in detail to address new problems or concerns.\n\nEach version is given a distinguishing version number. If the Program\nspecifies that a certain numbered version of the GNU Affero General\nPublic License \"or any later version\" applies to it, you have the option\nof following the terms and conditions either of that numbered version or\nof any later version published by the Free Software Foundation. If the\nProgram does not specify a version number of the GNU Affero General\nPublic License, you may choose any version ever published by the Free\nSoftware Foundation.\n\nIf the Program specifies that a proxy can decide which future versions\nof 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\nLater license versions may give you additional or different permissions.\nHowever, no additional obligations are imposed on any author or\ncopyright holder as a result of your choosing to follow a later version.\n\n#### 15. Disclaimer of Warranty.\n\nTHERE 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\nWARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT\nLIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A\nPARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF\nTHE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME\nTHE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION.\n\n#### 16. Limitation of Liability.\n\nIN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING\nWILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR\nCONVEYS THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES,\nINCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES\nARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT\nNOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES\nSUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE\nWITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN\nADVISED OF THE POSSIBILITY OF SUCH DAMAGES.\n\n#### 17. Interpretation of Sections 15 and 16.\n\nIf the disclaimer of warranty and limitation of liability provided above\ncannot be given local legal effect according to their terms, reviewing\ncourts shall apply local law that most closely approximates an absolute\nwaiver of all civil liability in connection with the Program, unless a\nwarranty or assumption of liability accompanies a copy of the Program in\nreturn for a fee.\n\nEND OF TERMS AND CONDITIONS\n\n### How to Apply These Terms to Your New Programs\n\nIf 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\nterms.\n\nTo do so, attach the following notices to the program. It is safest to\nattach them to the start of each source file to most effectively state\nthe exclusion of warranty; and each file should have at least the\n\"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\n        published by the Free Software Foundation, either version 3 of the\n        License, or (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\nIf 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\nYou should also get your employer (if you work as a programmer) or\nschool, if any, to sign a \"copyright disclaimer\" for the program, if\nnecessary. For more information on this, and how to apply and follow the\nGNU AGPL, see &lt;<http://www.gnu.org/licenses/>&gt;.\n"
  },
  {
    "path": "README.md",
    "content": "# rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.\n\nrga is a line-oriented search tool that allows you to look for a regex in a multitude of file types. rga wraps the awesome [ripgrep] and enables it to search in pdf, docx, sqlite, jpg, movie subtitles (mkv, mp4), etc.\n\n[ripgrep]: https://github.com/BurntSushi/ripgrep\n\n[![github repo](https://img.shields.io/badge/repo-github.com%2Fphiresky%2Fripgrep--all-informational.svg)](https://github.com/phiresky/ripgrep-all)\n[![Crates.io](https://img.shields.io/crates/v/ripgrep-all.svg)](https://crates.io/crates/ripgrep-all)\n[![fearless concurrency](https://img.shields.io/badge/concurrency-fearless-success.svg)](https://www.reddit.com/r/rustjerk/top/?sort=top&t=all)\n\nFor more detail, see this introductory blogpost: https://phiresky.github.io/blog/2019/rga--ripgrep-for-zip-targz-docx-odt-epub-jpg/\n\nrga will recursively descend into archives and match text in every file type it knows.\n\nHere is an [example directory](https://github.com/phiresky/ripgrep-all/tree/master/exampledir/demo) with different file types:\n\n```\ndemo/\n├── greeting.mkv\n├── hello.odt\n├── hello.sqlite3\n└── somearchive.zip\n├── dir\n│ ├── greeting.docx\n│ └── inner.tar.gz\n│ └── greeting.pdf\n└── greeting.epub\n```\n\n![rga output](doc/demodir.png)\n\n## Integration with fzf\n\n![rga-fzf](doc/rga-fzf.gif)\n\nSee [the wiki](https://github.com/phiresky/ripgrep-all/wiki/fzf-Integration) for instructions of integrating rga with fzf.\n\n## INSTALLATION\n\nLinux x64, macOS and Windows binaries are available [in GitHub Releases][latestrelease].\n\n[latestrelease]: https://github.com/phiresky/ripgrep-all/releases/latest\n\n### Linux\n\n#### Arch Linux\n\n`pacman -S ripgrep-all`\n\n#### Gentoo Linux\n\n`emerge sys-apps/ripgrep-all`\n\n#### Nix\n\n`nix-env -iA nixpkgs.ripgrep-all`\n\n#### Debian-based\n\ndownload the [rga binary][latestrelease] and get the dependencies like this:\n\n`apt install ripgrep pandoc poppler-utils ffmpeg`\n\nIf ripgrep is not included in your package sources, get it from [here](https://github.com/BurntSushi/ripgrep/releases).\n\nrga will search for all binaries it calls in \\$PATH and the directory itself is in.\n\n### Windows\n\nNote that installing via [chocolatey](https://chocolatey.org/packages/ripgrep-all) or [scoop](https://github.com/ScoopInstaller/Main/blob/master/bucket/rga.json) is the only supported download method. If you download the binary from releases manually, you will not get the dependencies (for example pdftotext from poppler).\n\nIf you get an error like `VCRUNTIME140.DLL could not be found`, you need to install [vc_redist.x64.exe](https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads).\n\n#### Chocolatey\n\n```\nchoco install ripgrep-all\n```\n\n#### Scoop\n\n```\nscoop install rga\n```\n\n### Homebrew/Linuxbrew\n\n`rga` can be installed with [Homebrew](https://formulae.brew.sh/formula/ripgrep-all#default):\n\n`brew install rga`\n\nTo install the dependencies that are each not strictly necessary but very useful:\n\n`brew install pandoc poppler ffmpeg`\n\n### MacPorts\n\n`rga` can also be installed on macOS via [MacPorts](https://ports.macports.org/port/ripgrep-all/):\n\n`sudo port install ripgrep-all`\n\n### Compile from source\n\nrga should compile with stable Rust (v1.75.0+, check with `rustc --version`). To build it, run the following (or the equivalent in your OS):\n\n```\n~$ apt install build-essential pandoc poppler-utils ffmpeg ripgrep cargo\n~$ cargo install --locked ripgrep_all\n~$ rga --version    # this should work now\n```\n\n## Available Adapters\n\nrga works with _adapters_ that adapt various file formats. It comes with a few adapters integrated:\n\n```\nrga --rga-list-adapters\n```\n\nYou can also add **custom adapters**. See [the wiki](https://github.com/phiresky/ripgrep-all/wiki) for more information.\n\n<!-- this part generated by update-readme.sh -->\n\nAdapters:\n\n- **pandoc**\n  Uses pandoc to convert binary/unreadable text documents to plain markdown-like text\n  Runs: pandoc --from= --to=plain --wrap=none --markdown-headings=atx  \n   Extensions: .epub, .odt, .docx, .fb2, .ipynb, .html, .htm\n\n- **poppler**\n  Uses pdftotext (from poppler-utils) to extract plain text from PDF files\n  Runs: pdftotext - -  \n   Extensions: .pdf  \n   Mime Types: application/pdf\n\n- **postprocpagebreaks**\n  Adds the page number to each line for an input file that specifies page breaks as ascii page break character.\n  Mainly to be used internally by the poppler adapter.  \n   Extensions: .asciipagebreaks\n\n- **ffmpeg**\n  Uses ffmpeg to extract video metadata/chapters, subtitles, lyrics, and other metadata  \n   Extensions: .mkv, .mp4, .avi, .mp3, .ogg, .flac, .webm\n\n- **zip**\n  Reads a zip file as a stream and recurses down into its contents  \n   Extensions: .zip, .jar  \n   Mime Types: application/zip\n\n- **decompress**\n  Reads compressed file as a stream and runs a different extractor on the contents.  \n   Extensions: .als, .bz2, .gz, .tbz, .tbz2, .tgz, .xz, .zst  \n   Mime Types: application/gzip, application/x-bzip, application/x-xz, application/zstd\n\n- **tar**\n  Reads a tar file as a stream and recurses down into its contents  \n   Extensions: .tar\n\n- **sqlite**\n  Uses sqlite bindings to convert sqlite databases into a simple plain text format  \n   Extensions: .db, .db3, .sqlite, .sqlite3  \n   Mime Types: application/x-sqlite3\n\nThe following adapters are disabled by default, and can be enabled using '--rga-adapters=+foo,bar':\n\n- **mail**\n  Reads mailbox/mail files and runs extractors on the contents and attachments.  \n   Extensions: .mbox, .mbx, .eml  \n   Mime Types: application/mbox, message/rfc822\n\n## USAGE:\n\n> rga \\[RGA OPTIONS\\] \\[RG OPTIONS\\] PATTERN \\[PATH \\...\\]\n\n\n## FLAGS:\n\n**\\--rga-accurate**\n\n> Use more accurate but slower matching by mime type\n\n> By default, rga will match files using file extensions. Some programs,\n> such as sqlite3, don\\'t care about the file extension at all, so users\n> sometimes use any or no extension at all. With this flag, rga will try\n> to detect the mime type of input files using the magic bytes (similar\n> to the \\`file\\` utility), and use that to choose the adapter.\n> Detection is only done on the first 8KiB of the file, since we can\\'t\n> always seek on the input (in archives).\n\n**\\--rga-no-cache**\n\n> Disable caching of results\n\n> By default, rga caches the extracted text, if it is small enough, to a\n> database in \\${XDG_CACHE_DIR-\\~/.cache}/ripgrep-all on Linux,\n> _\\~/Library/Caches/ripgrep-all_ on macOS, or\n> C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\ripgrep-all on Windows. This way,\n> repeated searches on the same set of files will be much faster. If you\n> pass this flag, all caching will be disabled.\n\n**-h**, **\\--help**\n\n> Prints help information\n\n**\\--rga-list-adapters**\n\n> List all known adapters\n\n**\\--rga-print-config-schema**\n\n> Print the JSON Schema of the configuration file\n\n**\\--rg-help**\n\n> Show help for ripgrep itself\n\n**\\--rg-version**\n\n> Show version of ripgrep itself\n\n**-V**, **\\--version**\n\n> Prints version information\n\n## OPTIONS:\n\n**\\--rga-adapters=**\\<adapters\\>\\...\n\n> Change which adapters to use and in which priority order (descending)\n\n> \\\"foo,bar\\\" means use only adapters foo and bar. \\\"-bar,baz\\\" means\n> use all default adapters except for bar and baz. \\\"+bar,baz\\\" means\n> use all default adapters and also bar and baz.\n\n**\\--rga-cache-compression-level=**\\<compression-level\\>\n\n> ZSTD compression level to apply to adapter outputs before storing in\n> cache db\n\n> Ranges from 1 - 22 \\[default: 12\\]\n\n**\\--rga-config-file=**\\<config-file-path\\>\n\n**\\--rga-max-archive-recursion=**\\<max-archive-recursion\\>\n\n> Maximum nestedness of archives to recurse into \\[default: 5\\]\n\n**\\--rga-cache-max-blob-len=**\\<max-blob-len\\>\n\n> Max compressed size to cache\n\n> Longest byte length (after compression) to store in cache. Longer\n> adapter outputs will not be cached and recomputed every time.\n\n> Allowed suffixes on command line: k M G \\[default: 2000000\\]\n\n**\\--rga-cache-path=**\\<path\\>\n\n> Path to store cache db \\[default: /home/phire/.cache/ripgrep-all\\]\n\n**-h** shows a concise overview, **\\--help** shows more detail and\nadvanced options.\n\nAll other options not shown here are passed directly to rg, especially\n\\[PATTERN\\] and \\[PATH \\...\\]\n\n<!-- end of part generated by update-readme.sh -->\n\n## Config\nThe config file location leverage the mechanisms defined by\n- the [XDG base directory](https://standards.freedesktop.org/basedir-spec/basedir-spec-latest.html) and\n  the [XDG user directory](https://www.freedesktop.org/wiki/Software/xdg-user-dirs/) specifications on Linux (ex: `~/.config/ripgrep-all/config.jsonc`)\n- the [Known Folder](https://msdn.microsoft.com/en-us/library/windows/desktop/dd378457.aspx) API on Windows (ex:  `C:\\Users\\Alice\\AppData\\Roaming\\ripgrep-all/config.jsonc`)\n- the [Standard Directories](https://developer.apple.com/library/content/documentation/FileManagement/Conceptual/FileSystemProgrammingGuide/FileSystemOverview/FileSystemOverview.html#//apple_ref/doc/uid/TP40010672-CH2-SW6)\n  guidelines on macOS (ex: `~/Library/Application Support/ripgrep-all/config.jsonc`)\n\n\n## Development\n\nTo enable debug logging:\n\n```bash\nexport RUST_LOG=debug\nexport RUST_BACKTRACE=1\n```\n\nAlso remember to disable caching with `--rga-no-cache` or clear the cache\n(`~/Library/Caches/rga` on macOS, `~/.cache/rga` on other Unixes,\nor `C:\\Users\\username\\AppData\\Local\\rga` on Windows)\nto debug the adapters.\n\n### Nix and Direnv\n\nYou can use the provided [`flake.nix`](./flake.nix) to setup all build- and\nrun-time dependencies:\n\n1. Enable [Flakes](https://wiki.nixos.org/wiki/Flakes) in your Nix configuration.\n1. Add [`direnv`](https://direnv.net/) to your profile:\n   `nix profile install nixpkgs#direnv`\n1. `cd` into the directory where you have cloned this directory.\n1. Allow use of [`.envrc`](./.envrc): `direnv allow`\n1. After the dependencies have been installed, your shell will now have all of\n   the necessary development dependencies.\n"
  },
  {
    "path": "ci/macos-install-packages",
    "content": "#!/bin/sh\n\nbrew install poppler\n"
  },
  {
    "path": "ci/ubuntu-install-packages",
    "content": "#!/bin/sh\n\nsudo apt-get update\nsudo apt-get install -y --no-install-recommends \\\n    poppler-utils\n"
  },
  {
    "path": "doc/config.default.jsonc",
    "content": "{\n  // This file follows the JSON schema defined below.\n  // If you use an editor that supports JSON schema (e.g. VS Code),\n  // you should be getting IntelliSense and validation.\n  \"$schema\": \"./config.v1.schema.json\",\n  // The default config and schema will be regenerated if they are missing\n  // https://github.com/phiresky/ripgrep-all/blob/master/doc/config.default.jsonc\n\n  // The config options are the same as the command line options,\n  // but with --rga- prefix removed and - and . replaced with _.\n  // e.g. --rga-no-cache becomes `\"no_cache\": true.\n  // The only exception is the `custom_adapters` option, which can only be set in this file.\n\n  \"custom_adapters\": [\n    // See https://github.com/phiresky/ripgrep-all/wiki for more information\n    // to verify if your custom adapters are picked up correctly, run `rga --rga-list-adapters`\n  ]\n}\n"
  },
  {
    "path": "doc/notes.md",
    "content": "## schema -> ui generation\n\nhttps://json-schema.org/implementations.html#web-ui-generation\n\n-   https://github.com/guillotinaweb/ngx-schema-form\n-   https://github.com/hamzahamidi/ajsf angular igh\n-   https://github.com/dashjoin/json-schema-form\n-   https://github.com/json-editor/json-editor\n-   https://github.com/jsonform/jsonform\n-   https://github.com/vazco/uniforms\n\n## json schema is ridiculous\n\n    \"mimetypes\": {\n        \"description\": \"if not null and --rga-accurate is enabled, mime type matching is used instead of file name matching\",\n        \"type\": [\n            \"array\",\n            \"null\"\n        ],\n        \"items\": {\n            \"type\": \"string\"\n        }\n    },\n\n    what the fuck????\n    this is the only thing required to see that json schema has horrible design\n"
  },
  {
    "path": "doc/update-readme.sh",
    "content": "#!/bin/bash\n\ncontent=$(\n    cat <<END\n<!-- this part generated by update-readme.sh -->\n$(cargo run --bin rga -- --rga-list-adapters)\n\n$(help2man -N \"cargo run --bin rga --\" | pandoc -f man -t markdown --markdown-headings=atx | rg --multiline \"## USAGE:(.|\\n)*\")\n<!-- end of part generated by update-readme.sh -->\nEND\n)\n\nrg --passthrough --multiline '.*update-readme.sh(.|\\n)*update-readme.sh.*' README.md --replace \"$content\" | sponge README.md\nprettier --write README.md\n"
  },
  {
    "path": "exampledir/decompress/test.log",
    "content": "hello world\nthis is a test\n"
  },
  {
    "path": "exampledir/encoding/utf8.txt",
    "content": "hello wörld!\n"
  },
  {
    "path": "exampledir/mail_nested.eml",
    "content": "To: submit.t4eseGWSvG1JST3r@spam.spamcop.net\r\nFrom: 2012gdwu <2012gdwu@posteo.de>\r\nSubject: Postbank Spam\r\nAutocrypt: addr=2012gdwu@posteo.de; keydata=\r\n mDMEXXjwiRYJKwYBBAHaRw8BAQdAmjXRazNXXy5tK05Dwl5mSRbdth9JkQq92V/QVyqjdgm0\r\n I0FybmUgS2VsbGVyIDxhcm5lLmtlbGxlckBwb3N0ZW8uZGU+iJYEExYIAD4WIQR2UN3HoAGx\r\n KI0B7Eih+UCxBQvPLgUCXXjwiQIbAwUJCWYBgAULCQgHAgYVCgkICwIEFgIDAQIeAQIXgAAK\r\n CRCh+UCxBQvPLpPfAP4gs6Oky3+UO2LU2XxweeQO+YEWXK0QtM2+ajzrGaF3HAD+LBfmyB9+\r\n Wom2KP0CwxUzI4d6zmiAMSKOnGGgzd65igm4OARdePCJEgorBgEEAZdVAQUBAQdAncxZ3Rox\r\n wmvm+/qCkCm9+PU2HmWr08M3qdqkf2L4IngDAQgHiH4EGBYIACYWIQR2UN3HoAGxKI0B7Eih\r\n +UCxBQvPLgUCXXjwiQIbDAUJCWYBgAAKCRCh+UCxBQvPLpQkAQCgYOlOftMNi+sfn+XQvfOc\r\n ULQWp+cgOBMcyVCdpJEQCwD9HBuwuHobl8FPm0PbRtlCn/7GY4WK+Hh4+3BKmhRn8wU=\r\nMessage-ID: <1530ae05-33a7-fa40-9473-ca625a14385a@posteo.de>\r\nDate: Mon, 20 Jul 2020 07:35:55 +0200\r\nUser-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:68.0) Gecko/20100101\r\n Thunderbird/68.10.0\r\nMIME-Version: 1.0\r\nContent-Type: multipart/mixed;\r\n boundary=\"------------6670F92201FB126ED9472803\"\r\nContent-Language: de-DE\r\n\r\nThis is a multi-part message in MIME format.\r\n--------------6670F92201FB126ED9472803\r\nContent-Type: text/plain; charset=utf-8\r\nContent-Transfer-Encoding: 7bit\r\n\r\nhere you go\r\n\r\n\r\n--------------6670F92201FB126ED9472803\r\nContent-Type: message/rfc822;\r\n name=\"postbank.eml\"\r\nContent-Transfer-Encoding: 7bit\r\nContent-Disposition: attachment;\r\n filename=\"postbank.eml\"\r\n\r\nReturn-Path: <gxnwgddl@carcarry.de>\r\nDelivered-To: arne.keller@posteo.de\r\nReceived: from proxy02.posteo.name ([127.0.0.1])\r\n\tby dovecot12 (Dovecot) with LMTP id EaKBGxv9FF+9mwEAJesNpQ\r\n\tfor <arne.keller@posteo.de>; Mon, 20 Jul 2020 04:15:27 +0200\r\nReceived: from proxy02.posteo.de ([127.0.0.1])\r\n\tby proxy02.posteo.name (Dovecot) with LMTP id 31UFGtHsFF+T4gMAGFAyLg\r\n\t; Mon, 20 Jul 2020 04:15:27 +0200\r\nReceived: from mailin05.posteo.de (unknown [10.0.1.5])\r\n\tby proxy02.posteo.de (Postfix) with ESMTPS id 4B950v2JYGz11fk\r\n\tfor <arne.keller@posteo.de>; Mon, 20 Jul 2020 04:15:27 +0200 (CEST)\r\nReceived: from mx03.posteo.de (mailin05.posteo.de [127.0.0.1])\r\n\tby mailin05.posteo.de (Postfix) with ESMTPS id 4270120F15\r\n\tfor <arne.keller@posteo.de>; Mon, 20 Jul 2020 04:15:27 +0200 (CEST)\r\nX-Virus-Scanned: amavisd-new at posteo.de\r\nX-Spam-Flag: NO\r\nX-Spam-Score: 2.639\r\nX-Spam-Level: **\r\nX-Spam-Status: No, score=2.639 tagged_above=-1000 required=8\r\n\ttests=[AV:Heuristics.Phishing.Email.SpoofedDomain=0.1, ALL_TRUSTED=-1,\r\n\tFROM_LOCAL_NOVOWEL=0.5, HK_RANDOM_ENVFROM=0.626, HK_RANDOM_FROM=0.999,\r\n\tHTML_FONT_LOW_CONTRAST=0.001, HTML_IMAGE_ONLY_24=1.282,\r\n\tHTML_MESSAGE=0.001, HTTPS_HTTP_MISMATCH=0.1, POSTEO_GENERICS_IO=0.01,\r\n\tT_FILL_THIS_FORM_SHORT=0.01, T_REMOTE_IMAGE=0.01] autolearn=disabled\r\nReceived: from mout.web.de (mout.web.de [212.227.15.14])\r\n\tby mx03.posteo.de (Postfix) with ESMTPS id 4B950t696Mz10nB\r\n\tfor <arne.keller@posteo.de>; Mon, 20 Jul 2020 04:15:26 +0200 (CEST)\r\nAuthentication-Results: mx03.posteo.de; dmarc=none (p=none dis=none) header.from=carcarry.de\r\nReceived: from [212.227.15.17] ([212.227.15.17]) by mx-ha.web.de (mxweb010\r\n [212.227.15.17]) with ESMTPS (Nemesis) id 1MRloE-1kQNT22I4w-00T9hm for\r\n <arne.keller@posteo.de>; Mon, 20 Jul 2020 04:15:26 +0200\r\nReceived: from mout.kundenserver.de ([212.227.17.24]) by mx-ha.web.de\r\n (mxweb010 [212.227.15.17]) with ESMTPS (Nemesis) id 1MINbE-1k0aRm2Hzw-00EOVM\r\n for <2012gdwu@web.de>; Mon, 20 Jul 2020 04:15:26 +0200\r\nReceived: from 217.160.251.109 ([217.160.251.109]) by mrelayeu.kundenserver.de\r\n (mreue107 [212.227.15.183]) with ESMTPSA (Nemesis) id\r\n 1MPoPd-1kBHRt0o2F-00MqkS for <2012gdwu@web.de>; Mon, 20 Jul 2020 04:15:26\r\n +0200\r\nFrom: \"=?utf-8?B?UE9TVEJBTs2fS82f?=\" <gxnwgddl@carcarry.de>\r\nSubject: BsetSign App : Y7P32-HTXU2-FRDG7\r\nTo: \"2012gdwu\" <2012gdwu@web.de>\r\nContent-Type: multipart/alternative; boundary=\"QHebeB08yNTYquFAhtQnxv=_cOW4Xd528c\"\r\nMIME-Version: 1.0\r\nDate: Mon, 20 Jul 2020 02:15:26 +0000\r\nMessage-ID: <1M3lHZ-1jyAPt0pTn-000u1I@mrelayeu.kundenserver.de>\r\nX-Provags-ID: V03:K1:68TECBVA88ZKh8HcSl/N+ElwlecL1tc+1AuDDyqm9em66WO295R\r\n IfuHqA9uG7+Vlyr99v+OneGltnr43KfsgRKj9GgOpDj2QelHphKFGPILAvvsQ8vOq6ucC2W\r\n BW3NEOh3JhitB6o4xLEmj+dbivC0ie728/cPMcjj6TwyBzw5nT1or8mBZWoEMSF/zcu+PIr\r\n gGpFY2puzzURN4oKX82/w==\r\nX-Spam-Flag: NO\r\nX-UI-Out-Filterresults: notjunk:1;V03:K0:c01ZANnvlk8=:ouSMGue72FUx2PJOSNnmEW\r\n qI8A89gf6q3aAdJBhLX1Bhd70xio64ljpha9X5ArOYg6Q2RH1JYyvfBSMoTo3HMy37H3L8kaq\r\n ReRCdSPOMD8+llZ/rRpPLl+7PofGOv+Hu3UO7gzgm9v0YqwLZIwh9P2w9TIu+GqVJWeDdmxrs\r\n RDPeHY8lsRL+8AFeSGNiWBYMEHDxKofTqS5Zh7mal1Bm4JbgEEIP36V4oL3c6V1olMHQZzEH9\r\n 7D0T8U6LyLyfSbuu5M6QN2FZ+F6IDJNDUG1uwNt9K12ESY6TweMR3xInFabiZ9fMPmrjPaNwW\r\n hlyKg67tDYL2lfk2fpa/LbhLnlfKEDqSvkgK54CZh+xbIQetju66cZUEFQyCIcGdAOWI8+nty\r\n FdbNUzxhNpZTPBrA7H95gRuc0u2GJBfZZsxdp46jpBwG65yqmJ32pkJrATo8CNbBO9A6hpdyL\r\n UNu5bavZBJp9dsyY6Cnm6vMOIjJ8qMy/vNkrtRXNWBrnVHhuQZ3B+osG8XWLiyq7s4hFOwDxY\r\n WLRgjKL6HgIj+2DLParwiuSsX8TVy5+WhxDUou0UJDzD3C1JmYiryTlo4Vu4CIZFXkgAuAsEq\r\n c55M6L2eUmD3xQNaqgMEJFksT2qXWaSb2Qw6HM7mtLBbSUhuWtSv2oeVrNwgx8XWexWYYZYFv\r\n KAZzICpkVhxpYIntoKRiDtQZxBDejPwGmne2iG81rn34pGJwOOYojf9dFghodE5bZEqVh6KbA\r\n f/38x9FIoYewzA2WuyngX/bXTdkLQM49W1vdlF5DQOlgYuM8Ni7NeJG888VhDZxcUn6vIIJs3\r\n xH0jOWrWCUz0gK9uyyagjcfdXr54Zv1E7i936CTlRq5QnDKN2C9jQFH5ymD4G1W5zX6Xj/05O\r\n M7VaU9Y3mvOM/+82zsKc5zJOFOf9MoI5JBhnPjHWeqaJgpYhNoKgGvPo3QfZFwzk/MHH2PgB1\r\n PLGvjSE8u/cpYeGhJdzTXM00J9ai5yGRNFD71zHoHBOFGCpmZVnJJ8SD+qUd4K4BfSD+DJ5Qd\r\n t1wsCpH5bgodnXgMcN6Zj0q3P/ODk3dnah1hsYMyIWDBFZ0cTlp2QkYhAKZh1HM5WcfSc5UwU\r\n SrcK9HHiG7BKOFYA1r6Rx5YYqwGWeGxr9mlH7MLyfCwI8PlWtfeB7Pj4eEI1hLy9GMnHBCJDj\r\n W8o1yDeE54rgWHR7CtIF6w+qF+quA3ZdwVSPOHwQeH7vS4OaJjeEyeeT4YOJdIMI7UknEasAG\r\n LfMS/PKWx7+YcUNaz0xvO70NwZj1FKJuWqDS6ZTciMSvGkEFTWVOqn5nPlHi8hDbBTVn70aPa\r\n BQi3U68hgdDpJIHlVLLvRcaCYYly3L60NQBgJroag4fRiIvDUSXfDatrDYOv+L4xBYdB3GP+s\r\n wqtsPY82YOwXP5KlRMPVEZcuWX5tWiOuaNjePbEkXpE2iQZUqfkDQTYNUGZR+TTBqHOWjO7R3\r\n hORQB0gOwe85gZv80G1EL32EtRjVxJxQfrHGPCGXb8HRXbvGGV3Xu3wZEE8iuJngBUJtWeDBq\r\n q61rYwZxVuml72lfRM6Lo+OGLAsyqvobxujY9BHpokZH4FNlUstjUoPANTGoAhM+MyQb0fSAV\r\n 8HA/r6n0oJh0B8+2AxJvVokbhEbL/RlJIZIYpCeRceeA+jjBaR7EvuglUoLN3CcB9CrdDH/qz\r\n ymHzEjPVnFar3/sqRjeKyIk71z4yotOKCPQcdD1gTbYWehZiIJwAlDFSpfPdFTQLOJMWd3wuD\r\n 0mHLep6tLtCY+hjhCYWlTyKKQ8CWiBWPTql21bPp7XVWCfc+4u8kZi5Y3dg3pvpSwwmcyRisX\r\n +7+8a+pBzN4VOEuX+dzglKDrNd6h2OL0tBMnk1yqAV27dX9cMRrO941IvtiaZO90BjZtV92oP\r\n XkGxvKnGQuynHus/3yblaw==\r\n\r\nThis is a multi-part message in MIME format\r\n\r\n--QHebeB08yNTYquFAhtQnxv=_cOW4Xd528c\r\nContent-Type: text/plain; charset=\"utf-8\"\r\nContent-Transfer-Encoding: quoted-printable\r\nContent-Disposition: inline\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n Sehr geehrter Herr / Frau =E2=80=A6,\r\n\r\n Ab dem 20. Jul 2020 aktualisiert die Postbank alle BestSign-Anwendung=\r\nen.\r\n\r\n\r\n\r\n =C3=96ffnen Sie den unten stehenden Aktivierungslink, um am Upgrade t=\r\neilzunehmen. Verkn=C3=BCpfung\r\n\r\n\r\n\r\n\r\n https://meine.postbank.de/#/login\r\n\r\n\r\n\r\n\r\n Wir empfehlen dringend, dieses Upgrade durchzuf=C3=BChren.\r\n\r\n Reundliche Gr=C3=BC=C3=9Fe,\r\n\r\n =C2=A9 2020 Postbank=E2=80=93 eine Niederlassung der Deutsche Bank AG=\r\n\r\n\r\nHypnotiseur/zertifizierter Hypnosecoach (DVH)\r\nBurnoutpr=C3=A4ventionscoach\r\nModeberater f=C3=BCr Ma=C3=9Fhemden/Ma=C3=9Fblusen\r\nKurs/Seminarleiter Waldbaden/Waldcoach\r\nAm Wiesengrund 5\r\n24980 Schafflund\r\nTel.: 04639-98475\r\nMob.: 015117317305\r\nHome : www.hypnosepraxis-im-norden.de\r\nHome : www.masshemden-im-norden.de\r\nHome : www.waldbaden-zwischen-den-meeren.de\r\n\r\n\r\n--QHebeB08yNTYquFAhtQnxv=_cOW4Xd528c\r\nContent-Type: text/html; charset=\"utf-8\"\r\nContent-Transfer-Encoding: quoted-printable\r\nContent-Disposition: inline\r\n\r\n<html><head></head><body><p><img width=3D\"174\" height=3D\"51\" alt=3D\"\" =\r\nsrc=3D\"https://upload.wikimedia.org/wikipedia/commons/thumb/d/d1/Postb=\r\nank-Logo.svg/1200px-Postbank-Logo.svg.png\"></p><p><br></p>\r\n<div>\r\n<div>&nbsp;Sehr geehrter Herr / Frau =E2=80=A6,</div>\r\n<div>&nbsp;Ab dem 20. Jul 2020 aktualisiert die Postbank alle BestSign=\r\n-Anwendungen.<br><br></div>\r\n<div>&nbsp;=C3=96ffnen Sie den unten stehenden Aktivierungslink, um am=\r\n Upgrade teilzunehmen. Verkn=C3=BCpfung</div><div><br></div>\r\n<div>&nbsp;<a href=3D\"https://www.astcdubai.com/.well-known/.re/\">http=\r\ns://meine.postbank.de/#/login</a></div><div><br></div>\r\n<div>&nbsp;Wir empfehlen dringend, dieses Upgrade durchzuf=C3=BChren.<=\r\n/div>\r\n<div>&nbsp;Reundliche Gr=C3=BC=C3=9Fe,</div>\r\n<div>&nbsp;<strong>=C2=A9</strong> 2020 <strong>Postbank</strong>=E2=80=\r\n=93 eine Niederlassung der Deutsche Bank AG<br><br> <span style=3D\"col=\r\nor: rgb(255, 255, 255);\">Hypnotiseur/zertifizierter Hypnosecoach (DVH)=\r\n</span><br><span style=3D\"color: rgb(255, 255, 255);\"> Burnoutpr=C3=A4=\r\nventionscoach</span><br><span style=3D\"color: rgb(255, 255, 255);\"> Mo=\r\ndeberater f=C3=BCr Ma=C3=9Fhemden/Ma=C3=9Fblusen</span><br><span style=\r\n=3D\"color: rgb(255, 255, 255);\"> Kurs/Seminarleiter Waldbaden/Waldcoac=\r\nh</span><br><span style=3D\"color: rgb(255, 255, 255);\"> Am Wiesengrund=\r\n 5</span><br><span style=3D\"color: rgb(255, 255, 255);\"> 24980 Schaffl=\r\nund</span><br><span style=3D\"color: rgb(255, 255, 255);\"> Tel.: 04639-=\r\n98475</span><br><span style=3D\"color: rgb(255, 255, 255);\"> Mob.: 0151=\r\n17317305</span><br><span style=3D\"color: rgb(255, 255, 255);\"> Home : =\r\n<a style=3D\"color: rgb(255, 255, 255);\" href=3D\"https://deref-gmx.net/=\r\nmail/client/Pk7kcpLwLpI/dereferrer/?redirectUrl=3Dhttp%3A%2F%2Fwww.hyp=\r\nnosepraxis-im-norden.de\" target=3D\"_blank\" rel=3D\"noopener\">www.hypnos=\r\nepraxis-im-norden.de</a></span><br><span style=3D\"color: rgb(255, 255,=\r\n 255);\"> Home : <a style=3D\"color: rgb(255, 255, 255);\" href=3D\"https:=\r\n//deref-gmx.net/mail/client/KR0VAuy5YPo/dereferrer/?redirectUrl=3Dhttp=\r\n%3A%2F%2Fwww.masshemden-im-norden.de\" target=3D\"_blank\" rel=3D\"noopene=\r\nr\">www.masshemden-im-norden.de</a></span><br><span style=3D\"color: rgb=\r\n(255, 255, 255);\"> Home : <a style=3D\"color: rgb(255, 255, 255);\" href=\r\n=3D\"https://deref-gmx.net/mail/client/QTybHixMVsI/dereferrer/?redirect=\r\nUrl=3Dhttp%3A%2F%2Fwww.waldbaden-zwischen-den-meeren.de\" target=3D\"_bl=\r\nank\" rel=3D\"noopener\">www.waldbaden-zwischen-den-meeren.de</a></span><=\r\n/div>\r\n</div></body></html>\r\n\r\n\r\n--QHebeB08yNTYquFAhtQnxv=_cOW4Xd528c--\r\n\r\n\r\n--------------6670F92201FB126ED9472803--\r\n"
  },
  {
    "path": "exampledir/mail_pdf_attach.eml",
    "content": "Return-Path: <ebay@southpole.com>\r\nDelivered-To: arne.keller@posteo.de\r\nReceived: from proxy02.posteo.name ([127.0.0.1])\r\n\tby dovecot12.posteo.name (Dovecot) with LMTP id pSysHGDdbmB8YwEAX/Xuyw\r\n\tfor <arne.keller@posteo.de>; Thu, 08 Apr 2021 13:05:20 +0200\r\nReceived: from proxy02.posteo.de ([127.0.0.1])\r\n\tby proxy02.posteo.name (Dovecot) with LMTP id s5NOOdLWbmCfkwIAGFAyLg\r\n\t; Thu, 08 Apr 2021 13:05:20 +0200\r\nReceived: from mailin03.posteo.de (unknown [10.0.0.63])\r\n\tby proxy02.posteo.de (Postfix) with ESMTPS id 4FGJMN08Csz11fX\r\n\tfor <arne.keller@posteo.de>; Thu,  8 Apr 2021 13:05:20 +0200 (CEST)\r\nReceived: from mx03.posteo.de (mailin03.posteo.de [127.0.0.1])\r\n\tby mailin03.posteo.de (Postfix) with ESMTPS id DCF8F20C4F\r\n\tfor <arne.keller@posteo.de>; Thu,  8 Apr 2021 13:05:19 +0200 (CEST)\r\nX-Virus-Scanned: amavisd-new at posteo.de\r\nX-Spam-Flag: NO\r\nX-Spam-Score: 3.28\r\nX-Spam-Level: ***\r\nX-Spam-Status: No, score=3.28 tagged_above=-1000 required=7\r\n\ttests=[ATTACHMT_OFFICE_RULE_POSTEO=3, HTML_MESSAGE=0.001,\r\n\tPOSTEO_PH_URI02=0.0001, RCVD_IN_DNSWL_NONE=-0.0001,\r\n\tRCVD_IN_MSPIKE_H2=-0.001, T_OBFU_PDF_ATTACH=0.01,\r\n\tT_RCVD_IN_ABUSIX_WHITE=0.01, T_REMOTE_IMAGE=0.01, URIBL_GREY=0.25]\r\n\tautolearn=disabled\r\nReceived: from mail-wr1-f42.google.com (mail-wr1-f42.google.com [209.85.221.42])\r\n\tby mx03.posteo.de (Postfix) with ESMTPS id 4FGJMK3DhPz11Th\r\n\tfor <2012gdwu@posteo.de>; Thu,  8 Apr 2021 13:05:17 +0200 (CEST)\r\nAuthentication-Results: posteo.de; dmarc=pass (p=reject dis=none) header.from=southpole.com\r\nAuthentication-Results: posteo.de;\r\n\tdkim=pass (1024-bit key) header.d=southpole.com header.i=@southpole.com header.b=HLA5ukVr;\r\n\tdkim-atps=neutral\r\nReceived: by mail-wr1-f42.google.com with SMTP id e12so1654541wro.11\r\n        for <2012gdwu@posteo.de>; Thu, 08 Apr 2021 04:05:17 -0700 (PDT)\r\nDKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed;\r\n        d=southpole.com; s=google;\r\n        h=mime-version:importance:from:date:message-id:subject:to;\r\n        bh=qff7ZcQHFkiA26901Rwd3B+BU8uwZ2eTNK/n8m3J+Ng=;\r\n        b=HLA5ukVrjUevyqsukSaRSyGzDHHdOilYVk+ibWh1TBy78YoTdbTdpyP4ZA4KOMyAyB\r\n         J3NicUjaRSdGEcfvtZa64Zhq4n6pOqrECZOHC1UDTOkSel03EXI3X64T02i6/C/roJvE\r\n         ib4bSoCqSsQ7GwahiAeavXHSx6VXYDeJWPqIo=\r\nX-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed;\r\n        d=1e100.net; s=20161025;\r\n        h=x-gm-message-state:mime-version:importance:from:date:message-id\r\n         :subject:to;\r\n        bh=qff7ZcQHFkiA26901Rwd3B+BU8uwZ2eTNK/n8m3J+Ng=;\r\n        b=Upw39D0O7nKa6RP/KkusFZ9NvzRTDpbVSgFVZsbpprWRbppSEuiaYEUi+XCwB5NFBN\r\n         dY6EoUIFEAtzUI/JHmifTFIkDmFk5CxafFOxcNT3h2yh38edmK9mBPfuTSy1XSTjQqDK\r\n         MsD+FP5YkJ9xQc4+L1rf8IFycIE/Hznf5qR2f4qXkn02O/L+zP8n3C2aRbsEqyZOkdcB\r\n         7HqnQSXTD6a4gV5KONxlYgZ7Haazw5H4o3RR5KgelxJvcoBZ+hbJXnElevMgmkBJkd6C\r\n         ausYAMrD6gmERVAK/sUxTCNI+BnywUQE+qon2W1NEs5JIZYa0K0mRv//4hv89u+fzRO7\r\n         7qIA==\r\nX-Gm-Message-State: AOAM530qdo1mLwrOc0xI8a0LtThgIf2NVgI0ECVYto1ljKPKDSWwJWm0\r\n\tyV0EhTsgYDIgTHN5+KcPebgnIcKhYCAmJnMraZGnEB4/lZ8=\r\nX-Google-Smtp-Source: ABdhPJwAJ3NVb10PbLymKdjWJcu9ZzQlfTzoSBdvfj/Zkns1VzY/73NvyCaaWP8juXXoP2E8REB/lJEEZ8VZicvxz0U=\r\nMIME-Version: 1.0\r\nX-Received: by 2002:a5d:4a48:: with SMTP id v8mr10230108wrs.107.1617879916745;\r\n Thu, 08 Apr 2021 04:05:16 -0700 (PDT)\r\nReceived: from 972489997876 named unknown by gmailapi.google.com with\r\n HTTPREST; Thu, 8 Apr 2021 04:05:15 -0700\r\nImportance: Normal\r\nFrom: ebay@southpole.com\r\nDate: Thu, 8 Apr 2021 04:05:15 -0700\r\nMessage-ID: <CADQDGfn_irkEYDosXy35GYBta_kGjzrEtRMne54UV9cZ+KVjOw@mail.gmail.com>\r\nSubject: =?UTF-8?Q?Vielen_Dank_f=C3=BCr_Ihren_Beitrag_zum_Ausgleich_der_CO2?=\r\n\t=?UTF-8?Q?_Emissionen_Ihres_Einkaufs?=\r\nTo: 2012gdwu@posteo.de\r\nContent-Type: multipart/mixed; boundary=\"000000000000ba40c005bf7405c8\"\r\n\r\n--000000000000ba40c005bf7405c8\r\nContent-Type: multipart/alternative; boundary=\"000000000000ba40be05bf7405c6\"\r\n\r\n--000000000000ba40be05bf7405c6\r\nContent-Type: text/plain; charset=\"UTF-8\"\r\nContent-Transfer-Encoding: quoted-printable\r\n\r\n<http://www.southpole.com>\r\n\r\nSehr geehrte/r Arne Keller,\r\n\r\nVielen Dank f=C3=BCr Ihren Beitrag zum Ausgleich der CO2 Emissionen Ihres\r\nEinkaufs.\r\n\r\nSie haben sich daf=C3=BCr entschieden, das Prony Windkraft Projekt in\r\nNeukaledonien zu unterst=C3=BCtzen. Teil des Projekts sind sechs Windparks =\r\nan\r\nverschieden Orten mit einer gesch=C3=A4tzten j=C3=A4hrlichen Produktion von=\r\n 40 GWh\r\nStrom. Das Projekt ersetzt damit Netzstrom, der zu 80% aus fossilen\r\nKraftwerken produziert wird. Weitere Informationen =C3=BCber das Projekt\r\nerhalten Sie hier <https://a.southpole.com/public/media/300344/0344_DE.pdf>=\r\n.\r\n\r\nGezahlter Betrag (incl.MwSt.): 1.0 EUR\r\n\r\nFalls Sie mehr =C3=BCber CO2 Kompensation erfahren m=C3=B6chten, klicken Si=\r\ne bitte\r\nhier <https://www.ebay.de/cdp/help/co2-ausgleich/southpole>.\r\n\r\nWeitere Informationen zu Klimaschutzl=C3=B6sungen finden Sie auf unserer we=\r\nbsite\r\n<http://www.southpole.com>.\r\n\r\nMit freundlichen Gr=C3=BC=C3=9Fen,\r\n*Ihr South Pole Team*\r\n#OurClimateJourney starts here\r\n*South Pole*\r\nTechnoparkstrasse 1\r\nZurich 8005\r\nSwitzerland\r\n\r\n--000000000000ba40be05bf7405c6\r\nContent-Type: text/html; charset=\"UTF-8\"\r\nContent-Transfer-Encoding: quoted-printable\r\n\r\n<p>\r\n<html class=3D\"sg-campaigns\">\r\n    <head>\r\n      <meta http-equiv=3D\"Content-Type\" content=3D\"text/html; charset=3Dutf=\r\n-8\">\r\n      <meta name=3D\"viewport\" content=3D\"width=3Ddevice-width, initial-scal=\r\ne=3D1, minimum-scale=3D1, maximum-scale=3D1\">\r\n     =20\r\n      <meta http-equiv=3D\"X-UA-Compatible\" content=3D\"IE=3DEdge\">\r\n     =20\r\n     =20\r\n     =20\r\n      <style type=3D\"text/css\">\r\n    body, p, div {\r\n      font-family: arial,helvetica,sans-serif;\r\n      font-size: 14px;\r\n    }\r\n    body {\r\n      color: #000000;\r\n    }\r\n    body a {\r\n      color: #1188E6;\r\n      text-decoration: none;\r\n    }\r\n    p { margin: 0; padding: 0; }\r\n    table.wrapper {\r\n      width:100% !important;\r\n      table-layout: fixed;\r\n      -webkit-font-smoothing: antialiased;\r\n      -webkit-text-size-adjust: 100%;\r\n      -moz-text-size-adjust: 100%;\r\n      -ms-text-size-adjust: 100%;\r\n    }\r\n    img.max-width {\r\n      max-width: 100% !important;\r\n    }\r\n    .column.of-2 {\r\n      width: 50%;\r\n    }\r\n    .column.of-3 {\r\n      width: 33.333%;\r\n    }\r\n    .column.of-4 {\r\n      width: 25%;\r\n    }\r\n    @media screen and (max-width:480px) {\r\n      .preheader .rightColumnContent,\r\n      .footer .rightColumnContent {\r\n        text-align: left !important;\r\n      }\r\n      .preheader .rightColumnContent div,\r\n      .preheader .rightColumnContent span,\r\n      .footer .rightColumnContent div,\r\n      .footer .rightColumnContent span {\r\n        text-align: left !important;\r\n      }\r\n      .preheader .rightColumnContent,\r\n      .preheader .leftColumnContent {\r\n        font-size: 80% !important;\r\n        padding: 5px 0;\r\n      }\r\n      table.wrapper-mobile {\r\n        width: 100% !important;\r\n        table-layout: fixed;\r\n      }\r\n      img.max-width {\r\n        height: auto !important;\r\n        max-width: 100% !important;\r\n      }\r\n      a.bulletproof-button {\r\n        display: block !important;\r\n        width: auto !important;\r\n        font-size: 80%;\r\n        padding-left: 0 !important;\r\n        padding-right: 0 !important;\r\n      }\r\n      .columns {\r\n        width: 100% !important;\r\n      }\r\n      .column {\r\n        display: block !important;\r\n        width: 100% !important;\r\n        padding-left: 0 !important;\r\n        padding-right: 0 !important;\r\n        margin-left: 0 !important;\r\n        margin-right: 0 !important;\r\n      }\r\n      .social-icon-column {\r\n        display: inline-block !important;\r\n      }\r\n    }\r\n  </style>\r\n     =20\r\n    </head>\r\n    <body>\r\n      <center class=3D\"wrapper\">\r\n        <div class=3D\"webkit\">\r\n          <table cellpadding=3D\"0\" cellspacing=3D\"0\" border=3D\"0\" width=3D\"=\r\n100%\" class=3D\"wrapper\" bgcolor=3D\"#FFFFFF\">\r\n            <tr>\r\n              <td valign=3D\"top\" bgcolor=3D\"#FFFFFF\" width=3D\"100%\">\r\n                <table width=3D\"100%\" class=3D\"outer\" align=3D\"center\" cell=\r\npadding=3D\"0\" cellspacing=3D\"0\" border=3D\"0\">\r\n                  <tr>\r\n                    <td width=3D\"100%\">\r\n                      <table width=3D\"100%\" cellpadding=3D\"0\" cellspacing=\r\n=3D\"0\" border=3D\"0\">\r\n                        <tr>\r\n                          <td>\r\n                           =20\r\n                                    <table width=3D\"100%\" cellpadding=3D\"0\"=\r\n cellspacing=3D\"0\" border=3D\"0\" style=3D\"width:100%;max-width:600px\" align=\r\n=3D\"center\">\r\n                                      <tr>\r\n                                        <td style=3D\"padding:0px 0px 0px 0p=\r\nx;color:#000000;text-align:left\" bgcolor=3D\"#FFFFFF\" width=3D\"100%\" align=\r\n=3D\"left\"><table class=3D\"module preheader preheader-hide\" border=3D\"0\" cel=\r\nlpadding=3D\"0\" cellspacing=3D\"0\" width=3D\"100%\" style=3D\"display:none!impor=\r\ntant;opacity:0;color:transparent;height:0;width:0\">\r\n    <tr>\r\n      <td>\r\n        <p></p>\r\n      </td>\r\n    </tr>\r\n  </table><table class=3D\"wrapper\" border=3D\"0\" cellpadding=3D\"0\" cellspaci=\r\nng=3D\"0\" width=3D\"100%\" style=3D\"table-layout:fixed\">\r\n    <tbody>\r\n      <tr>\r\n        <td style=3D\"font-size:6px;line-height:10px;padding:0px 0px 0px 0px=\r\n\" valign=3D\"top\" align=3D\"center\">\r\n         =20\r\n        <a href=3D\"http://www.southpole.com\"><img class=3D\"max-width\" borde=\r\nr=3D\"0\" style=3D\"display:block; color:#000000; text-decoration:none; font-f=\r\namily:Helvetica, arial, sans-serif; font-size:16px; max-width:30% !importan=\r\nt; width:30%; height:auto !important;\" width=3D\"180\" alt=3D\"\" src=3D\"http:/=\r\n/cdn.mcauto-images-production.sendgrid.net/6bb6378b6f4b261a/c18cb9b5-e2c9-4=\r\nd19-b836-5944a363d16d/474x96.png\"></a></td>\r\n      </tr>\r\n    </tbody>\r\n  </table><table class=3D\"wrapper\" border=3D\"0\" cellpadding=3D\"0\" cellspaci=\r\nng=3D\"0\" width=3D\"100%\" style=3D\"table-layout:fixed\">\r\n    <tbody>\r\n      <tr>\r\n        <td style=3D\"font-size:6px;line-height:10px;padding:0px 0px 0px 0px=\r\n\" valign=3D\"top\" align=3D\"center\">\r\n          <img class=3D\"max-width\" border=3D\"0\" style=3D\"display:block; col=\r\nor:#000000; text-decoration:none; font-family:Helvetica, arial, sans-serif;=\r\n font-size:16px; max-width:100% !important; width:100%; height:auto !import=\r\nant;\" width=3D\"600\" alt=3D\"\" src=3D\"http://cdn.mcauto-images-production.sen=\r\ndgrid.net/6bb6378b6f4b261a/c00b27d7-3269-43d9-836c-15834c29cb41/1192x446.pn=\r\ng\">\r\n        </td>\r\n      </tr>\r\n    </tbody>\r\n  </table><table class=3D\"module\" border=3D\"0\" cellpadding=3D\"0\" cellspacin=\r\ng=3D\"0\" width=3D\"100%\" style=3D\"table-layout:fixed\">\r\n    <tbody>\r\n      <tr>\r\n        <td style=3D\"padding:18px 0px 18px 0px;line-height:22px;text-align:=\r\ninherit\" height=3D\"100%\" valign=3D\"top\" bgcolor=3D\"\"><div><div style=3D\"fon=\r\nt-family:inherit;text-align:inherit\"><span style=3D\"font-family:arial,helve=\r\ntica,sans-serif\">Sehr geehrte/r Arne Keller,</span></div>\r\n<div style=3D\"font-family:inherit;text-align:inherit\"><span style=3D\"font-f=\r\namily:arial,helvetica,sans-serif\"><br>\r\nVielen Dank f=C3=BCr Ihren Beitrag zum Ausgleich der CO2 Emissionen Ihres E=\r\ninkaufs.=C2=A0</span></div>\r\n<div style=3D\"font-family:inherit;text-align:inherit\"><span style=3D\"font-f=\r\namily:arial,helvetica,sans-serif\"><br>\r\nSie haben sich daf=C3=BCr entschieden, das Prony Windkraft Projekt in Neuka=\r\nledonien zu unterst=C3=BCtzen. Teil des Projekts sind sechs Windparks an ve=\r\nrschieden Orten mit einer gesch=C3=A4tzten j=C3=A4hrlichen Produktion von 4=\r\n0 GWh Strom. Das Projekt ersetzt damit Netzstrom, der zu 80% aus fossilen K=\r\nraftwerken produziert wird. Weitere Informationen =C3=BCber das Projekt erh=\r\nalten Sie </span><a href=3D\"https://a.southpole.com/public/media/300344/034=\r\n4_DE.pdf\"><span style=3D\"font-family:arial,helvetica,sans-serif\">hier</span=\r\n></a><span style=3D\"font-family:arial,helvetica,sans-serif\">.</span></div>\r\n<div style=3D\"font-family:inherit;text-align:inherit\"><br></div>\r\n<div style=3D\"font-family:inherit\"><span style=3D\"font-size:10.5pt;font-fam=\r\nily:Arial,sans-serif\">Gezahlter Betrag (incl.MwSt.):=20\r\n1.0 EUR</span> =C2=A0</div>\r\n<div style=3D\"font-family:inherit;text-align:inherit\"><span style=3D\"font-f=\r\namily:arial,helvetica,sans-serif\"><br>\r\nFalls Sie mehr =C3=BCber CO2 Kompensation erfahren m=C3=B6chten, klicken Si=\r\ne bitte </span><a href=3D\"https://www.ebay.de/cdp/help/co2-ausgleich/southp=\r\nole\"><span style=3D\"font-family:arial,helvetica,sans-serif\">hier</span></a>=\r\n<span style=3D\"font-family:arial,helvetica,sans-serif\">.</span></div>\r\n<div style=3D\"font-family:inherit;text-align:inherit\"><span style=3D\"font-f=\r\namily:arial,helvetica,sans-serif\"><br>\r\n</span><span style=3D\"font-size:10.5pt;color:black;font-family:arial,helvet=\r\nica,sans-serif\">Weitere Informationen zu Klimaschutzl=C3=B6sungen finden Si=\r\ne auf unserer </span><a href=3D\"http://www.southpole.com\"><span style=3D\"fo=\r\nnt-size:10.5pt;font-family:arial,helvetica,sans-serif\">website</span></a><s=\r\npan style=3D\"font-size:10.5pt;color:black;font-family:arial,helvetica,sans-=\r\nserif\">.=C2=A0</span></div>\r\n<div style=3D\"font-family:inherit;text-align:inherit\"><span style=3D\"font-f=\r\namily:arial,helvetica,sans-serif\"><br>\r\nMit freundlichen Gr=C3=BC=C3=9Fen,<br>\r\n</span><span style=3D\"font-family:arial,helvetica,sans-serif;color:#2e528f\"=\r\n><strong>Ihr South Pole Team</strong></span><span style=3D\"font-family:aria=\r\nl,helvetica,sans-serif\"><br>\r\n</span><span style=3D\"font-family:arial,helvetica,sans-serif;color:#2e528f\"=\r\n>#OurClimateJourney starts here</span></div><div></div></div></td>\r\n      </tr>\r\n    </tbody>\r\n  </table><table class=3D\"module\" border=3D\"0\" cellpadding=3D\"0\" cellspacin=\r\ng=3D\"0\" width=3D\"100%\" style=3D\"table-layout:fixed\">\r\n    <tbody>\r\n      <tr>\r\n        <td style=3D\"padding:0px 0px 0px 0px\" height=3D\"100%\" valign=3D\"top=\r\n\" bgcolor=3D\"\">\r\n          <table border=3D\"0\" cellpadding=3D\"0\" cellspacing=3D\"0\" align=3D\"=\r\ncenter\" width=3D\"100%\" height=3D\"1px\" style=3D\"line-height:1px;font-size:1p=\r\nx\">\r\n            <tbody>\r\n              <tr>\r\n                <td style=3D\"padding:0px 0px 1px 0px\" bgcolor=3D\"#000000\"><=\r\n/td>\r\n              </tr>\r\n            </tbody>\r\n          </table>\r\n        </td>\r\n      </tr>\r\n    </tbody>\r\n  </table><table class=3D\"module\" border=3D\"0\" cellpadding=3D\"0\" cellspacin=\r\ng=3D\"0\" width=3D\"100%\" style=3D\"table-layout:fixed\">\r\n    <tbody>\r\n      <tr>\r\n        <td style=3D\"padding:18px 0px 18px 0px;line-height:22px;text-align:=\r\ninherit\" height=3D\"100%\" valign=3D\"top\" bgcolor=3D\"\"><div><div style=3D\"fon=\r\nt-family:inherit;text-align:center\"><span style=3D\"font-size:9pt;font-famil=\r\ny:Helvetica,sans-serif;color:#444444\"><strong>South Pole</strong></span><sp=\r\nan style=3D\"font-size:9pt;font-family:Helvetica,sans-serif;color:#444444\"><=\r\nbr>\r\nTechnoparkstrasse 1<br>\r\nZurich 8005<br>\r\nSwitzerland</span>=C2=A0</div><div></div></div></td>\r\n      </tr>\r\n    </tbody>\r\n  </table></td>\r\n                                      </tr>\r\n                                    </table>\r\n                                   =20\r\n                          </td>\r\n                        </tr>\r\n                      </table>\r\n                    </td>\r\n                  </tr>\r\n                </table>\r\n              </td>\r\n            </tr>\r\n          </table>\r\n        </div>\r\n      </center>\r\n    </body>\r\n  </html></p>\r\n\r\n--000000000000ba40be05bf7405c6--\r\n--000000000000ba40c005bf7405c8\r\nContent-Type: application/octet-stream; name=\"Bestatigung.pdf\"\r\nContent-Disposition: attachment; filename=\"Bestatigung.pdf\"\r\nContent-Transfer-Encoding: base64\r\nX-Attachment-Id: e9780c8ba1b9c354_0.1\r\n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\r\n--000000000000ba40c005bf7405c8--\r\n"
  },
  {
    "path": "exampledir/test/github_email.eml",
    "content": "Return-Path: <noreply@github.com>\r\nDate: Mon, 31 Jul 2023 01:34:57 -0700\r\nFrom: \"github-actions[bot]\" <notifications@github.com>\r\nTo: KeYProject/key <key@noreply.github.com>\r\nIn-Reply-To: <KeYProject/key/pull/3232@github.com>\r\nReferences: <KeYProject/key/pull/3232@github.com>\r\nSubject: Re: [KeYProject/key] Fix more UI bugs (PR #3232)\r\nMime-Version: 1.0\r\nContent-Type: multipart/alternative;\r\n boundary=\"--==_mimepart_64c77231630fb_12bafdd0c012685\";\r\n charset=UTF-8\r\nContent-Transfer-Encoding: 7bit\r\nPrecedence: list\r\nX-GitHub-Sender: github-actions[bot]\r\nX-GitHub-Recipient: FliegendeWurst\r\nX-GitHub-Reason: author\r\nList-ID: KeYProject/key <key.KeYProject.github.com>\r\nList-Archive: https://github.com/KeYProject/key\r\nX-Auto-Response-Suppress: All\r\ndestinations: 2012gdwu+github@posteo.de\r\nX-GitHub-Recipient-Address: 2012gdwu+github@posteo.de\r\n\r\n\r\n----==_mimepart_64c77231630fb_12bafdd0c012685\r\nContent-Type: text/plain;\r\n charset=UTF-8\r\nContent-Transfer-Encoding: 7bit\r\n\r\nThank you for your contribution.\r\n\r\nThe test artifacts are available on [Artiweb](https://keyproject.github.io/artiweb/3232/).\r\nThe newest artifact is [here](https://keyproject.github.io/artiweb/3232/833812796/).\r\n\r\n-- \r\nReply to this email directly or view it on GitHub:\r\nhttps://github.com/KeYProject/key/pull/3232#issuecomment-1657918122\r\nYou are receiving this because you authored the thread.\r\n\r\nMessage ID: <KeYProject/key/pull/3232/c1657918122@github.com>\r\n----==_mimepart_64c77231630fb_12bafdd0c012685\r\nContent-Type: text/html;\r\n charset=UTF-8\r\nContent-Transfer-Encoding: 7bit\r\n\r\n<p></p>\r\n<p dir=\"auto\">Thank you for your contribution.</p>\r\n<p dir=\"auto\">The test artifacts are available on <a href=\"https://keyproject.github.io/artiweb/3232/\" rel=\"nofollow\">Artiweb</a>.<br>\r\nThe newest artifact is <a href=\"https://keyproject.github.io/artiweb/3232/833812796/\" rel=\"nofollow\">here</a>.</p>\r\n\r\n<p style=\"font-size:small;-webkit-text-size-adjust:none;color:#666;\">&mdash;<br />Reply to this email directly, <a href=\"https://github.com/KeYProject/key/pull/3232#issuecomment-1657918122\">view it on GitHub</a>, or <a href=\"https://github.com/notifications/unsubscribe-auth/AC72QTN2XK2D42XVPNPMTXLXS5U3DANCNFSM6AAAAAA25Y7T4M\">unsubscribe</a>.<br />You are receiving this because you authored the thread.<img src=\"https://github.com/notifications/beacon/AC72QTNZM6RAGMF7TAEUEL3XS5U3DA5CNFSM6AAAAAA25Y7T4OWGG33NNVSW45C7OR4XAZNMJFZXG5LFINXW23LFNZ2KUY3PNVWWK3TUL5UWJTTC2HJKU.gif\" height=\"1\" width=\"1\" alt=\"\" /><span style=\"color: transparent; font-size: 0; display: none; visibility: hidden; overflow: hidden; opacity: 0; width: 0; height: 0; max-width: 0; max-height: 0; mso-hide: all\">Message ID: <span>&lt;KeYProject/key/pull/3232/c1657918122</span><span>@</span><span>github</span><span>.</span><span>com&gt;</span></span></p>\r\n<script type=\"application/ld+json\">[\r\n{\r\n\"@context\": \"http://schema.org\",\r\n\"@type\": \"EmailMessage\",\r\n\"potentialAction\": {\r\n\"@type\": \"ViewAction\",\r\n\"target\": \"https://github.com/KeYProject/key/pull/3232#issuecomment-1657918122\",\r\n\"url\": \"https://github.com/KeYProject/key/pull/3232#issuecomment-1657918122\",\r\n\"name\": \"View Pull Request\"\r\n},\r\n\"description\": \"View this Pull Request on GitHub\",\r\n\"publisher\": {\r\n\"@type\": \"Organization\",\r\n\"name\": \"GitHub\",\r\n\"url\": \"https://github.com\"\r\n}\r\n}\r\n]</script>\r\n----==_mimepart_64c77231630fb_12bafdd0c012685--\r\n"
  },
  {
    "path": "exampledir/test/mail_with_attachment.mbox",
    "content": "From - Mon Jul 31 15:15:47 2023\nX-Mozilla-Status: 0001\nX-Mozilla-Status2: 00000000\nX-Mozilla-Keys:                                                                                 \nContent-Type: multipart/mixed;\r\n\tboundary=\"------------4qicfcop0idtQJYkG05sMt93\"\r\nMessage-ID: <68b5f6c4-8de4-02e9-fd09-8157d8ccd29b@student.kit.edu>\r\nDate: Mon, 31 Jul 2023 15:15:41 +0200\r\nUser-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:102.0) Gecko/20100101\r\n Thunderbird/102.13.0\r\nFrom: Arne Keller <uskyk@student.kit.edu>\r\nContent-Language: de-DE\r\nTo: <recipient@gmail.com>\r\nSubject: Subject line\r\nX-Enigmail-Draft-Status: N00200\r\nX-Mozilla-Draft-Info: internal/draft; vcard=0; receipt=0; DSN=0; uuencode=0;\r\n attachmentreminder=0; deliveryformat=0\r\nX-Identity-Key: id6\r\nFcc: imap://KIT%5Cuskyk@imap.kit.edu/Sent\r\nMIME-Version: 1.0\r\n\r\n--------------4qicfcop0idtQJYkG05sMt93\r\nContent-Type: text/html; charset=\"UTF-8\"\r\nContent-Transfer-Encoding: 7bit\r\n\r\n<html><head>\r\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\">\r\n    <title></title>\r\n  </head>\r\n  <body>\r\n    <p>regular text<br>\r\n    </p>\r\n  </body>\r\n</html>\r\n--------------4qicfcop0idtQJYkG05sMt93\r\nContent-Type: application/pdf; name=\"short.pdf\"\r\nContent-Disposition: attachment; filename=\"short.pdf\"\r\nContent-Transfer-Encoding: base64\r\n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\r\n\r\n--------------4qicfcop0idtQJYkG05sMt93--\r\n\n"
  },
  {
    "path": "exampledir/test/test.mbx",
    "content": "From \r\nMessage-ID: <55a23774-4da7-057c-77a7-ec390fed487b@posteo.de>\r\nDate: Mon, 27 Feb 2023 12:05:46 +0100\r\nMIME-Version: 1.0\r\nUser-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:102.0) Gecko/20100101\r\n Thunderbird/102.8.0\r\nFrom: Arne Keller <2012gdwu@web.de>\r\nSubject: From encoding test\r\nTo: arne.keller@posteo.de\r\nContent-Language: de-DE\r\nX-Enigmail-Draft-Status: N00200\r\nX-Mozilla-Draft-Info: internal/draft; vcard=0; receipt=0; DSN=0; uuencode=0;\r\n attachmentreminder=0; deliveryformat=0\r\nX-Identity-Key: id2\r\nFcc: imap://2012gdwu@imap.web.de/Gesendet\r\nContent-Type: text/html; charset=UTF-8\r\nContent-Transfer-Encoding: 7bit\r\n\r\n<html>\r\n  <head>\r\n    <meta http-equiv=\"content-type\" content=\"text/html; charset=UTF-8\">\r\n  </head>\r\n  <body>\r\n    <p>&gt;From</p>\r\n    <p>Another word &gt;From<br>\r\n    </p>\r\n  </body>\r\n</html>\r\nFrom \r\nMessage-ID: <55a23774-4da7-057c-77a7-ec390fed487b@posteo.de>\r\nDate: Mon, 27 Feb 2023 12:06:56 +0100\r\nMIME-Version: 1.0\r\nUser-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:102.0) Gecko/20100101\r\n Thunderbird/102.8.0\r\nFrom: Arne Keller <2012gdwu@web.de>\r\nSubject: From encoding test\r\nTo: arne.keller@posteo.de\r\nContent-Language: de-DE\r\nX-Enigmail-Draft-Status: N00200\r\nX-Mozilla-Draft-Info: internal/draft; vcard=0; receipt=0; DSN=0; uuencode=0;\r\n attachmentreminder=0; deliveryformat=1\r\nX-Identity-Key: id2\r\nFcc: imap://2012gdwu@imap.web.de/Gesendet\r\nContent-Type: text/html; charset=UTF-8\r\nContent-Transfer-Encoding: 7bit\r\n\r\n<html>\r\n  <head>\r\n    <meta http-equiv=\"content-type\" content=\"text/html; charset=UTF-8\">\r\n  </head>\r\n  <body>\r\n    <p>&gt;From</p>\r\n    <p>Another word &gt;From<br>\r\n    </p>\r\n  </body>\r\n</html>\r\nFrom - Mon Feb 27 12:06:57 2023\nX-Mozilla-Status: 0001\nX-Mozilla-Status2: 00000000\nMessage-ID: <55a23774-4da7-057c-77a7-ec390fed487b@posteo.de>\r\nDate: Mon, 27 Feb 2023 12:06:56 +0100\r\nMIME-Version: 1.0\r\nUser-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:102.0) Gecko/20100101\r\n Thunderbird/102.8.0\r\nFrom: Arne Keller <2012gdwu@web.de>\r\nSubject: From encoding test\r\nTo: arne.keller@posteo.de\r\nContent-Language: de-DE\r\nX-Enigmail-Draft-Status: N00200\r\nX-Mozilla-Draft-Info: internal/draft; vcard=0; receipt=0; DSN=0; uuencode=0;\r\n attachmentreminder=0; deliveryformat=1\r\nX-Identity-Key: id2\r\nFcc: imap://2012gdwu@imap.web.de/Gesendet\r\nContent-Type: text/html; charset=UTF-8\r\nContent-Transfer-Encoding: 7bit\r\n\r\n<html>\r\n  <head>\r\n    <meta http-equiv=\"content-type\" content=\"text/html; charset=UTF-8\">\r\n  </head>\r\n  <body>\r\n    <p>&gt;From</p>\r\n    <p>Another word &gt;From<br>\r\n    </p>\r\n  </body>\r\n</html>\r\n"
  },
  {
    "path": "exampledir/wasteland.fb2",
    "content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<FictionBook xmlns=\"http://www.gribuser.ru/xml/fictionbook/2.0\" xmlns:l=\"http://www.w3.org/1999/xlink\"><description><title-info><genre>unrecognised</genre><author><first-name>T.S.</first-name><last-name>Eliot</last-name></author><book-title>The Waste Land</book-title><date>2011-09-01</date></title-info><document-info><program-used>pandoc</program-used></document-info></description><body><title><p>The Waste Land</p></title><section><p><image l:href=\"#image1\" l:type=\"inlineImageType\" alt=\"\" /></p><p /></section><section id=\"i.-the-burial-of-the-dead\"><title><p>I. THE BURIAL OF THE DEAD</p></title><p>April is the cruellest month, breeding</p><p>Lilacs out of the dead land, mixing</p><p>Memory and desire, stirring</p><p>Dull roots with spring rain.</p><p>Winter kept us warm, covering</p><p>Earth in forgetful snow, feeding</p><p>A little life with dried tubers.</p><p>Summer surprised us, coming over the Starnbergersee</p><p>With a shower of rain; we stopped in the colonnade,</p><p>And went on in sunlight, into the Hofgarten,10</p><p>And drank coffee, and talked for an hour.</p><p>Bin gar keine Russin, stamm&#39; aus Litauen, echt deutsch.</p><p>And when we were children, staying at the archduke&#39;s,</p><p>My cousin&#39;s, he took me out on a sled,</p><p>And I was frightened. He said, Marie,</p><p>Marie, hold on tight. And down we went.</p><p>In the mountains, there you feel free.</p><p>I read, much of the night, and go south in the winter.</p><p>What are the roots that clutch, what branches grow</p><p>Out of this stony rubbish? Son of man,<a l:href=\"#n1\" type=\"note\"><sup>[1]</sup></a></p><p>You cannot say, or guess, for you know only</p><p>A heap of broken images, where the sun beats,</p><p>And the dead tree gives no shelter, the cricket no relief,<a l:href=\"#n2\" type=\"note\"><sup>[2]</sup></a></p><p>And the dry stone no sound of water. Only</p><p>There is shadow under this red rock,</p><p>(Come in under the shadow of this red rock),</p><p>And I will show you something different from either</p><p>Your shadow at morning striding behind you</p><p>Or your shadow at evening rising to meet you;</p><p>I will show you fear in a handful of dust.30</p><cite><cite><p>Frisch weht der Wind<a l:href=\"#n3\" type=\"note\"><sup>[3]</sup></a></p></cite><cite><p>Der Heimat zu</p></cite><cite><p>Mein Irisch Kind,</p></cite><cite><p>Wo weilest du?</p></cite><cite><p>&quot;You gave me hyacinths first a year ago;</p></cite><cite><p>&quot;They called me the hyacinth girl.&quot;</p></cite><cite><p>―Yet when we came back, late, from the Hyacinth garden,</p></cite><cite><p>Your arms full, and your hair wet, I could not</p></cite><cite><p>Speak, and my eyes failed, I was neither</p></cite><cite><p>Living nor dead, and I knew nothing,40</p></cite><cite><p>Looking into the heart of light, the silence.</p></cite><cite><p><emphasis>Od&#39; und leer das Meer</emphasis>.<a l:href=\"#n4\" type=\"note\"><sup>[4]</sup></a></p></cite><cite><p>Madame Sosostris, famous clairvoyante,</p></cite><cite><p>Had a bad cold, nevertheless</p></cite><cite><p>Is known to be the wisest woman in Europe,</p></cite><cite><p>With a wicked pack of cards. Here, said she,<a l:href=\"#n5\" type=\"note\"><sup>[5]</sup></a></p></cite><cite><p>Is your card, the drowned Phoenician Sailor,</p></cite><cite><p>(Those are pearls that were his eyes. Look!)</p></cite><cite><p>Here is Belladonna, the Lady of the Rocks,</p></cite><cite><p>The lady of situations.50</p></cite><cite><p>Here is the man with three staves, and here the Wheel,</p></cite><cite><p>And here is the one-eyed merchant, and this card,</p></cite><cite><p>Which is blank, is something he carries on his back,</p></cite><cite><p>Which I am forbidden to see. I do not find</p></cite><cite><p>The Hanged Man. Fear death by water.</p></cite><cite><p>I see crowds of people, walking round in a ring.</p></cite><cite><p>Thank you. If you see dear Mrs. Equitone,</p></cite><cite><p>Tell her I bring the horoscope myself:</p></cite><cite><p>One must be so careful these days.</p></cite><cite><p>Unreal City,<a l:href=\"#n6\" type=\"note\"><sup>[6]</sup></a></p></cite><cite><p>Under the brown fog of a winter dawn,</p></cite><cite><p>A crowd flowed over London Bridge, so many,</p></cite><cite><p>I had not thought death had undone so many.<a l:href=\"#n7\" type=\"note\"><sup>[7]</sup></a></p></cite><cite><p>Sighs, short and infrequent, were exhaled,<a l:href=\"#n8\" type=\"note\"><sup>[8]</sup></a></p></cite><cite><p>And each man fixed his eyes before his feet.</p></cite><cite><p>Flowed up the hill and down King William Street,</p></cite><cite><p>To where Saint Mary Woolnoth kept the hours</p></cite><cite><p>With a dead sound on the final stroke of nine.<a l:href=\"#n9\" type=\"note\"><sup>[9]</sup></a></p></cite><cite><p>There I saw one I knew, and stopped him, crying &quot;Stetson!</p></cite><cite><p>&quot;You who were with me in the ships at Mylae!70</p></cite><cite><p>&quot;That corpse you planted last year in your garden,</p></cite><cite><p>&quot;Has it begun to sprout? Will it bloom this year?</p></cite><cite><p>&quot;Or has the sudden frost disturbed its bed?</p></cite><cite><p>&quot;Oh keep the Dog far hence, that&#39;s friend to men,<a l:href=\"#n10\" type=\"note\"><sup>[10]</sup></a></p></cite><cite><p>&quot;Or with his nails he&#39;ll dig it up again!</p></cite><cite><p>&quot;You! hypocrite lecteur! - mon semblable, - mon frere !&quot;<a l:href=\"#n11\" type=\"note\"><sup>[11]</sup></a></p></cite></cite></section><section id=\"ii.-a-game-of-chess\"><title><p>II. A GAME OF CHESS</p></title><cite><cite><p>The Chair she sat in, like a burnished throne,<a l:href=\"#n12\" type=\"note\"><sup>[12]</sup></a></p></cite><cite><p>Glowed on the marble, where the glass</p></cite><cite><p>Held up by standards wrought with fruited vines</p></cite><cite><p>From which a golden Cupidon peeped out80</p></cite><cite><p>(Another hid his eyes behind his wing)</p></cite><cite><p>Doubled the flames of sevenbranched candelabra</p></cite><cite><p>Reflecting light upon the table as</p></cite><cite><p>The glitter of her jewels rose to meet it,</p></cite><cite><p>From satin cases poured in rich profusion;</p></cite><cite><p>In vials of ivory and coloured glass</p></cite><cite><p>Unstoppered, lurked her strange synthetic perfumes,</p></cite><cite><p>Unguent, powdered, or liquid - troubled, confused</p></cite><cite><p>And drowned the sense in odours; stirred by the air</p></cite><cite><p>That freshened from the window, these ascended90</p></cite><cite><p>In fattening the prolonged candle-flames,</p></cite><cite><p>Flung their smoke into the laquearia,<a l:href=\"#n13\" type=\"note\"><sup>[13]</sup></a></p></cite><cite><p>Stirring the pattern on the coffered ceiling.</p></cite><cite><p>Huge sea-wood fed with copper</p></cite><cite><p>Burned green and orange, framed by the coloured stone,</p></cite><cite><p>In which sad light a carved dolphin swam.</p></cite><cite><p>Above the antique mantel was displayed</p></cite><cite><p>As though a window gave upon the sylvan scene<a l:href=\"#n14\" type=\"note\"><sup>[14]</sup></a></p></cite><cite><p>The change of Philomel, by the barbarous king<a l:href=\"#n15\" type=\"note\"><sup>[15]</sup></a></p></cite><cite><p>So rudely forced; yet there the nightingale<a l:href=\"#n16\" type=\"note\"><sup>[16]</sup></a></p></cite><cite><p>Filled all the desert with inviolable voice</p></cite><cite><p>And still she cried, and still the world pursues,</p></cite><cite><p>&quot;Jug Jug&quot; to dirty ears.</p></cite><cite><p>And other withered stumps of time</p></cite><cite><p>Were told upon the walls; staring forms</p></cite><cite><p>Leaned out, leaning, hushing the room enclosed.</p></cite><cite><p>Footsteps shuffled on the stair.</p></cite><cite><p>Under the firelight, under the brush, her hair</p></cite><cite><p>Spread out in fiery points</p></cite><cite><p>Glowed into words, then would be savagely still.110</p></cite><cite><p>&quot;My nerves are bad to-night. Yes, bad. Stay with me.</p></cite><cite><p>&quot;Speak to me. Why do you never speak. Speak.</p></cite><cite><p>&quot;What are you thinking of? What thinking? What?</p></cite><cite><p>&quot;I never know what you are thinking. Think.&quot;</p></cite><cite><p>I think we are in rats&#39; alley<a l:href=\"#n17\" type=\"note\"><sup>[17]</sup></a></p></cite><cite><p>Where the dead men lost their bones.</p></cite><cite><p>&quot;What is that noise?&quot;</p></cite><cite><p>The wind under the door.<a l:href=\"#n18\" type=\"note\"><sup>[18]</sup></a></p></cite><cite><p>&quot;What is that noise now? What is the wind doing?&quot;</p></cite><cite><p>Nothing again nothing.120</p></cite><cite><p>&quot;Do</p></cite><cite><p>&quot;You know nothing? Do you see nothing? Do you remember</p></cite><cite><p>&quot;Nothing?&quot;</p></cite><cite><p>I remember</p></cite><cite><p>Those are pearls that were his eyes.</p></cite><cite><p>&quot;Are you alive, or not? Is there nothing in your head?&quot;<a l:href=\"#n19\" type=\"note\"><sup>[19]</sup></a></p></cite><cite><p>But</p></cite><cite><p>O O O O that Shakespeherian Rag―</p></cite><cite><p>It&#39;s so elegant</p></cite><cite><p>So intelligent130</p></cite><cite><p>&quot;What shall I do now? What shall I do?&quot;</p></cite><cite><p>I shall rush out as I am, and walk the street</p></cite><cite><p>&quot;With my hair down, so. What shall we do to-morrow?</p></cite><cite><p>&quot;What shall we ever do?&quot;</p></cite><cite><p>The hot water at ten.</p></cite><cite><p>And if it rains, a closed car at four.</p></cite><cite><p>And we shall play a game of chess,</p></cite><cite><p>Pressing lidless eyes and waiting for a knock upon the door.<a l:href=\"#n20\" type=\"note\"><sup>[20]</sup></a></p></cite><cite><p>When Lil&#39;s husband got demobbed, I said -</p></cite><cite><p>I didn&#39;t mince my words, I said to her myself,140</p></cite><cite><p>HURRY UP PLEASE ITS TIME</p></cite><cite><p>Now Albert&#39;s coming back, make yourself a bit smart.</p></cite><cite><p>He&#39;ll want to know what you done with that money he gave you</p></cite><cite><p>To get yourself some teeth. He did, I was there.</p></cite><cite><p>You have them all out, Lil, and get a nice set,</p></cite><cite><p>He said, I swear, I can&#39;t bear to look at you.</p></cite><cite><p>And no more can&#39;t I, I said, and think of poor Albert,</p></cite><cite><p>He&#39;s been in the army four years, he wants a good time,</p></cite><cite><p>And if you don&#39;t give it him, there&#39;s others will, I said.</p></cite><cite><p>Oh is there, she said. Something o&#39; that, I said.150</p></cite><cite><p>Then I&#39;ll know who to thank, she said, and give me a straight look.</p></cite><cite><p>HURRY UP PLEASE ITS TIME</p></cite><cite><p>If you don&#39;t like it you can get on with it, I said.</p></cite><cite><p>Others can pick and choose if you can&#39;t.</p></cite><cite><p>But if Albert makes off, it won&#39;t be for lack of telling.</p></cite><cite><p>You ought to be ashamed, I said, to look so antique.</p></cite><cite><p>(And her only thirty-one.)</p></cite><cite><p>I can&#39;t help it, she said, pulling a long face,</p></cite><cite><p>It&#39;s them pills I took, to bring it off, she said.</p></cite><cite><p>(She&#39;s had five already, and nearly died of young George.)160</p></cite><cite><p>The chemist said it would be all right, but I&#39;ve never been the same.</p></cite><cite><p>You <emphasis>are</emphasis> a proper fool, I said.</p></cite><cite><p>Well, if Albert won&#39;t leave you alone, there it is, I said,</p></cite><cite><p>What you get married for if you don&#39;t want children?</p></cite><cite><p>HURRY UP PLEASE ITS TIME</p></cite><cite><p>Well, that Sunday Albert was home, they had a hot gammon,</p></cite><cite><p>And they asked me in to dinner, to get the beauty of it hot―</p></cite><cite><p>HURRY UP PLEASE ITS TIME</p></cite><cite><p>HURRY UP PLEASE ITS TIME</p></cite><cite><p>Goonight Bill. Goonight Lou. Goonight May. Goonight.170</p></cite><cite><p>Ta ta. Goonight. Goonight.</p></cite><cite><p>Good night, ladies, good night, sweet ladies, good night, good night.</p></cite></cite></section><section id=\"iii.-the-fire-sermon\"><title><p>III. THE FIRE SERMON</p></title><cite><cite><p>The river&#39;s tent is broken: the last fingers of leaf</p></cite><cite><p>Clutch and sink into the wet bank. The wind</p></cite><cite><p>Crosses the brown land, unheard. The nymphs are departed.</p></cite><cite><p>Sweet Thames, run softly, till I end my song.<a l:href=\"#n21\" type=\"note\"><sup>[21]</sup></a></p></cite><cite><p>The river bears no empty bottles, sandwich papers,</p></cite><cite><p>Silk handkerchiefs, cardboard boxes, cigarette ends</p></cite><cite><p>Or other testimony of summer nights. The nymphs are departed.</p></cite><cite><p>And their friends, the loitering heirs of city directors;180</p></cite><cite><p>Departed, have left no addresses.</p></cite><cite><p>By the waters of Leman I sat down and wept . . .</p></cite><cite><p>Sweet Thames, run softly till I end my song,</p></cite><cite><p>Sweet Thames, run softly, for I speak not loud or long.</p></cite><cite><p>But at my back in a cold blast I hear</p></cite><cite><p>The rattle of the bones, and chuckle spread from ear to ear.</p></cite><cite><p>A rat crept softly through the vegetation</p></cite><cite><p>Dragging its slimy belly on the bank</p></cite><cite><p>While I was fishing in the dull canal</p></cite><cite><p>On a winter evening round behind the gashouse190</p></cite><cite><p>Musing upon the king my brother&#39;s wreck</p></cite><cite><p>And on the king my father&#39;s death before him.<a l:href=\"#n22\" type=\"note\"><sup>[22]</sup></a></p></cite><cite><p>White bodies naked on the low damp ground</p></cite><cite><p>And bones cast in a little low dry garret,</p></cite><cite><p>Rattled by the rat&#39;s foot only, year to year.</p></cite><cite><p>But at my back from time to time I hear<a l:href=\"#n23\" type=\"note\"><sup>[23]</sup></a></p></cite><cite><p>The sound of horns and motors, which shall bring<a l:href=\"#n24\" type=\"note\"><sup>[24]</sup></a></p></cite><cite><p>Sweeney to Mrs. Porter in the spring.</p></cite><cite><p>O the moon shone bright on Mrs. Porter<a l:href=\"#n25\" type=\"note\"><sup>[25]</sup></a></p></cite><cite><p>And on her daughter200</p></cite><cite><p>They wash their feet in soda water</p></cite><cite><p><emphasis>Et O ces voix d&#39;enfants, chantant dans la coupole</emphasis>!<a l:href=\"#n26\" type=\"note\"><sup>[26]</sup></a></p></cite><cite><p>Twit twit twit</p></cite><cite><p>Jug jug jug jug jug jug</p></cite><cite><p>So rudely forc&#39;d.</p></cite><cite><p>Tereu</p></cite><cite><p>Unreal City</p></cite><cite><p>Under the brown fog of a winter noon</p></cite><cite><p>Mr. Eugenides, the Smyrna merchant</p></cite><cite><p>Unshaven, with a pocket full of currants<a l:href=\"#n27\" type=\"note\"><sup>[27]</sup></a></p></cite><cite><p>C.i.f. London: documents at sight,</p></cite><cite><p>Asked me in demotic French</p></cite><cite><p>To luncheon at the Cannon Street Hotel</p></cite><cite><p>Followed by a weekend at the Metropole.</p></cite><cite><p>At the violet hour, when the eyes and back</p></cite><cite><p>Turn upward from the desk, when the human engine waits</p></cite><cite><p>Like a taxi throbbing waiting,</p></cite><cite><p>I Tiresias, though blind, throbbing between two lives,<a l:href=\"#n28\" type=\"note\"><sup>[28]</sup></a></p></cite><cite><p>Old man with wrinkled female breasts, can see</p></cite><cite><p>At the violet hour, the evening hour that strives220</p></cite><cite><p>Homeward, and brings the sailor home from sea,<a l:href=\"#n29\" type=\"note\"><sup>[29]</sup></a></p></cite><cite><p>The typist home at teatime, clears her breakfast, lights</p></cite><cite><p>Her stove, and lays out food in tins.</p></cite><cite><p>Out of the window perilously spread</p></cite><cite><p>Her drying combinations touched by the sun&#39;s last rays,</p></cite><cite><p>On the divan are piled (at night her bed)</p></cite><cite><p>Stockings, slippers, camisoles, and stays.</p></cite><cite><p>I Tiresias, old man with wrinkled dugs</p></cite><cite><p>Perceived the scene, and foretold the rest -</p></cite><cite><p>I too awaited the expected guest.230</p></cite><cite><p>He, the young man carbuncular, arrives,</p></cite><cite><p>A small house agent&#39;s clerk, with one bold stare,</p></cite><cite><p>One of the low on whom assurance sits</p></cite><cite><p>As a silk hat on a Bradford millionaire.</p></cite><cite><p>The time is now propitious, as he guesses,</p></cite><cite><p>The meal is ended, she is bored and tired,</p></cite><cite><p>Endeavours to engage her in caresses</p></cite><cite><p>Which still are unreproved, if undesired.</p></cite><cite><p>Flushed and decided, he assaults at once;</p></cite><cite><p>Exploring hands encounter no defence;240</p></cite><cite><p>His vanity requires no response,</p></cite><cite><p>And makes a welcome of indifference.</p></cite><cite><p>(And I Tiresias have foresuffered all</p></cite><cite><p>Enacted on this same divan or bed;</p></cite><cite><p>I who have sat by Thebes below the wall</p></cite><cite><p>And walked among the lowest of the dead.)</p></cite><cite><p>Bestows one final patronising kiss,</p></cite><cite><p>And gropes his way, finding the stairs unlit . . .</p></cite><cite><p>She turns and looks a moment in the glass,</p></cite><cite><p>Hardly aware of her departed lover;250</p></cite><cite><p>Her brain allows one half-formed thought to pass:</p></cite><cite><p>&quot;Well now that&#39;s done: and I&#39;m glad it&#39;s over.&quot;</p></cite><cite><p>When lovely woman stoops to folly and<a l:href=\"#n30\" type=\"note\"><sup>[30]</sup></a></p></cite><cite><p>Paces about her room again, alone,</p></cite><cite><p>She smoothes her hair with automatic hand,</p></cite><cite><p>And puts a record on the gramophone.</p></cite><cite><p>&quot;This music crept by me upon the waters&quot;<a l:href=\"#n31\" type=\"note\"><sup>[31]</sup></a></p></cite><cite><p>And along the Strand, up Queen Victoria Street.</p></cite><cite><p>O City city, I can sometimes hear</p></cite><cite><p>Beside a public bar in Lower Thames Street,260</p></cite><cite><p>The pleasant whining of a mandoline</p></cite><cite><p>And a clatter and a chatter from within</p></cite><cite><p>Where fishmen lounge at noon: where the walls</p></cite><cite><p>Of Magnus Martyr hold<a l:href=\"#n32\" type=\"note\"><sup>[32]</sup></a></p></cite><cite><p>Inexplicable splendour of Ionian white and gold.</p></cite><cite><p>The river sweats<a l:href=\"#n33\" type=\"note\"><sup>[33]</sup></a></p></cite><cite><p>Oil and tar</p></cite><cite><p>The barges drift</p></cite><cite><p>With the turning tide</p></cite><cite><p>Red sails270</p></cite><cite><p>Wide</p></cite><cite><p>To leeward, swing on the heavy spar.</p></cite><cite><p>The barges wash</p></cite><cite><p>Drifting logs</p></cite><cite><p>Down Greenwich reach</p></cite><cite><p>Past the Isle of Dogs.</p></cite><cite><p>Weialala leia</p></cite><cite><p>Wallala leialala</p></cite><cite><p>Elizabeth and Leicester<a l:href=\"#n34\" type=\"note\"><sup>[34]</sup></a></p></cite><cite><p>Beating oars280</p></cite><cite><p>The stern was formed</p></cite><cite><p>A gilded shell</p></cite><cite><p>Red and gold</p></cite><cite><p>The brisk swell</p></cite><cite><p>Rippled both shores</p></cite><cite><p>Southwest wind</p></cite><cite><p>Carried down stream</p></cite><cite><p>The peal of bells</p></cite><cite><p>White towers</p></cite><cite><p>Weialala leia290</p></cite><cite><p>Wallala leialala</p></cite><cite><p>&quot;Trams and dusty trees.</p></cite><cite><p>Highbury bore me. Richmond and Kew<a l:href=\"#n35\" type=\"note\"><sup>[35]</sup></a></p></cite><cite><p>Undid me. By Richmond I raised my knees</p></cite><cite><p>Supine on the floor of a narrow canoe.&quot;</p></cite><cite><p>&quot;My feet are at Moorgate, and my heart</p></cite><cite><p>Under my feet. After the event</p></cite><cite><p>He wept. He promised &#39;a new start&#39;.</p></cite><cite><p>I made no comment. What should I resent?&quot;</p></cite><cite><p>&quot;On Margate Sands.300</p></cite><cite><p>I can connect</p></cite><cite><p>Nothing with nothing.</p></cite><cite><p>The broken fingernails of dirty hands.</p></cite><cite><p>My people humble people who expect</p></cite><cite><p>Nothing.&quot;</p></cite><cite><p>la la</p></cite><cite><p>To Carthage then I came<a l:href=\"#n36\" type=\"note\"><sup>[36]</sup></a></p></cite><cite><p>Burning burning burning burning<a l:href=\"#n37\" type=\"note\"><sup>[37]</sup></a></p></cite><cite><p>O Lord Thou pluckest me out<a l:href=\"#n38\" type=\"note\"><sup>[38]</sup></a></p></cite><cite><p>O Lord Thou pluckest310</p></cite><cite><p>burning</p></cite></cite></section><section id=\"iv.-death-by-water\"><title><p>IV. DEATH BY WATER</p></title><cite><cite><p>Phlebas the Phoenician, a fortnight dead,</p></cite><cite><p>Forgot the cry of gulls, and the deep sea swell</p></cite><cite><p>And the profit and loss.</p></cite><cite><p>A current under sea</p></cite><cite><p>Picked his bones in whispers. As he rose and fell</p></cite><cite><p>He passed the stages of his age and youth</p></cite><cite><p>Entering the whirlpool.</p></cite><cite><p>Gentile or Jew</p></cite><cite><p>O you who turn the wheel and look to windward,320</p></cite><cite><p>Consider Phlebas, who was once handsome and tall as you.</p></cite></cite></section><section id=\"v.-what-the-thunder-said\"><title><p>V. WHAT THE THUNDER SAID</p></title><cite><cite><p>After the torchlight red on sweaty faces</p></cite><cite><p>After the frosty silence in the gardens</p></cite><cite><p>After the agony in stony places</p></cite><cite><p>The shouting and the crying</p></cite><cite><p>Prison and palace and reverberation</p></cite><cite><p>Of thunder of spring over distant mountains</p></cite><cite><p>He who was living is now dead</p></cite><cite><p>We who were living are now dying</p></cite><cite><p>With a little patience330</p></cite><cite><p>Here is no water but only rock</p></cite><cite><p>Rock and no water and the sandy road</p></cite><cite><p>The road winding above among the mountains</p></cite><cite><p>Which are mountains of rock without water</p></cite><cite><p>If there were water we should stop and drink</p></cite><cite><p>Amongst the rock one cannot stop or think</p></cite><cite><p>Sweat is dry and feet are in the sand</p></cite><cite><p>If there were only water amongst the rock</p></cite><cite><p>Dead mountain mouth of carious teeth that cannot spit</p></cite><cite><p>Here one can neither stand nor lie nor sit340</p></cite><cite><p>There is not even silence in the mountains</p></cite><cite><p>But dry sterile thunder without rain</p></cite><cite><p>There is not even solitude in the mountains</p></cite><cite><p>But red sullen faces sneer and snarl</p></cite><cite><p>From doors of mudcracked houses</p></cite><cite><p>If there were water</p></cite><cite><p>And no rock</p></cite><cite><p>If there were rock</p></cite><cite><p>And also water</p></cite><cite><p>And water350</p></cite><cite><p>A spring</p></cite><cite><p>A pool among the rock</p></cite><cite><p>If there were the sound of water only</p></cite><cite><p>Not the cicada</p></cite><cite><p>And dry grass singing</p></cite><cite><p>But sound of water over a rock</p></cite><cite><p>Where the hermit-thrush sings in the pine trees<a l:href=\"#n39\" type=\"note\"><sup>[39]</sup></a></p></cite><cite><p>Drip drop drip drop drop drop drop</p></cite><cite><p>But there is no water</p></cite><cite><p>Who is the third who walks always beside you?<a l:href=\"#n40\" type=\"note\"><sup>[40]</sup></a></p></cite><cite><p>When I count, there are only you and I together</p></cite><cite><p>But when I look ahead up the white road</p></cite><cite><p>There is always another one walking beside you</p></cite><cite><p>Gliding wrapt in a brown mantle, hooded</p></cite><cite><p>I do not know whether a man or a woman</p></cite><cite><p>―But who is that on the other side of you?<a l:href=\"#n41\" type=\"note\"><sup>[41]</sup></a></p></cite><cite><p>What is that sound high in the air</p></cite><cite><p>Murmur of maternal lamentation</p></cite><cite><p>Who are those hooded hordes swarming</p></cite><cite><p>Over endless plains, stumbling in cracked earth370</p></cite><cite><p>Ringed by the flat horizon only</p></cite><cite><p>What is the city over the mountains</p></cite><cite><p>Cracks and reforms and bursts in the violet air</p></cite><cite><p>Falling towers</p></cite><cite><p>Jerusalem Athens Alexandria</p></cite><cite><p>Vienna London</p></cite><cite><p>Unreal</p></cite><cite><p>A woman drew her long black hair out tight</p></cite><cite><p>And fiddled whisper music on those strings</p></cite><cite><p>And bats with baby faces in the violet light380</p></cite><cite><p>Whistled, and beat their wings</p></cite><cite><p>And crawled head downward down a blackened wall</p></cite><cite><p>And upside down in air were towers</p></cite><cite><p>Tolling reminiscent bells, that kept the hours</p></cite><cite><p>And voices singing out of empty cisterns and exhausted wells.</p></cite><cite><p>In this decayed hole among the mountains</p></cite><cite><p>In the faint moonlight, the grass is singing</p></cite><cite><p>Over the tumbled graves, about the chapel</p></cite><cite><p>There is the empty chapel, only the wind&#39;s home.</p></cite><cite><p>It has no windows, and the door swings,390</p></cite><cite><p>Dry bones can harm no one.</p></cite><cite><p>Only a cock stood on the rooftree</p></cite><cite><p>Co co rico co co rico</p></cite><cite><p>In a flash of lightning. Then a damp gust</p></cite><cite><p>Bringing rain</p></cite><cite><p>Ganga was sunken, and the limp leaves</p></cite><cite><p>Waited for rain, while the black clouds</p></cite><cite><p>Gathered far distant, over Himavant.</p></cite><cite><p>The jungle crouched, humped in silence.</p></cite><cite><p>Then spoke the thunder400</p></cite><cite><p>DA</p></cite><cite><p>Datta: what have we given?<a l:href=\"#n42\" type=\"note\"><sup>[42]</sup></a></p></cite><cite><p>My friend, blood shaking my heart</p></cite><cite><p>The awful daring of a moment&#39;s surrender</p></cite><cite><p>Which an age of prudence can never retract</p></cite><cite><p>By this, and this only, we have existed</p></cite><cite><p>Which is not to be found in our obituaries</p></cite><cite><p>Or in memories draped by the beneficent spider<a l:href=\"#n43\" type=\"note\"><sup>[43]</sup></a></p></cite><cite><p>Or under seals broken by the lean solicitor</p></cite><cite><p>In our empty rooms410</p></cite><cite><p>DA</p></cite><cite><p>Dayadhvam: I have heard the key<a l:href=\"#n44\" type=\"note\"><sup>[44]</sup></a></p></cite><cite><p>Turn in the door once and turn once only</p></cite><cite><p>We think of the key, each in his prison</p></cite><cite><p>Thinking of the key, each confirms a prison</p></cite><cite><p>Only at nightfall, aetherial rumours</p></cite><cite><p>Revive for a moment a broken Coriolanus</p></cite><cite><p>DA</p></cite><cite><p>Damyata: The boat responded</p></cite><cite><p>Gaily, to the hand expert with sail and oar420</p></cite><cite><p>The sea was calm, your heart would have responded</p></cite><cite><p>Gaily, when invited, beating obedient</p></cite><cite><p>To controlling hands</p></cite><cite><p>I sat upon the shore</p></cite><cite><p>Fishing, with the arid plain behind me<a l:href=\"#n45\" type=\"note\"><sup>[45]</sup></a></p></cite><cite><p>Shall I at least set my lands in order?</p></cite><cite><p>London Bridge is falling down falling down falling down</p></cite><cite><p><emphasis>Poi s&#39;ascose nel foco che gli affina</emphasis> <a l:href=\"#n46\" type=\"note\"><sup>[46]</sup></a></p></cite><cite><p><emphasis>Quando fiam ceu chelidon</emphasis> - O swallow swallow<a l:href=\"#n47\" type=\"note\"><sup>[47]</sup></a></p></cite><cite><p><emphasis>Le Prince d&#39;Aquitaine a la tour abolie</emphasis> <a l:href=\"#n48\" type=\"note\"><sup>[48]</sup></a></p></cite><cite><p>These fragments I have shored against my ruins</p></cite><cite><p>Why then Ile fit you. Hieronymo&#39;s mad againe.<a l:href=\"#n49\" type=\"note\"><sup>[49]</sup></a></p></cite><cite><p>Datta. Dayadhvam. Damyata.</p></cite><cite><p>Shantih shantih shantih<a l:href=\"#n50\" type=\"note\"><sup>[50]</sup></a></p></cite></cite></section><section id=\"notes-on-the-waste-land\"><title><p>NOTES ON &quot;THE WASTE LAND&quot;</p></title><cite><p>Not only the title, but the plan and a good deal of the incidental symbolism of the poem were suggested by Miss Jessie L. Weston&#39;s book on the Grail legend: From Ritual to Romance</p><p>Indeed, so deeply am I indebted, Miss Weston&#39;s book will elucidate the difficulties of the poem much better than my notes can do; and I recommend it (apart from the great interest of the book itself) to any who think such elucidation of the poem worth the trouble. To another work of anthropology I am indebted in general, one which has influenced our generation profoundly; I mean The Golden Bough; I have used especially the two volumes Adonis, Attis, Osiris. Anyone who is acquainted with these works will immediately recognise in the poem certain references to vegetation ceremonies.</p></cite><section id=\"i.-the-burial-of-the-dead-1\"><title><p>I. THE BURIAL OF THE DEAD</p></title></section><section id=\"ii.-a-game-of-chess-1\"><title><p>II. A GAME OF CHESS</p></title></section><section id=\"iii.-the-fire-sermon-1\"><title><p>III. THE FIRE SERMON</p></title></section><section id=\"v.-what-the-thunder-said-1\"><title><p>V. WHAT THE THUNDER SAID</p></title><cite><p>In the first part of Part V three themes are employed: the journey to Emmaus, the approach to the Chapel Perilous (see Miss Weston&#39;s book) and the present decay of eastern Europe.</p></cite></section></section></body><body name=\"notes\"><section id=\"n1\"><title><p>1</p></title><p><a l:href=\"#wasteland-content.xhtml#ln20\">Line 20.</a> Cf. Ezekiel 2:1.</p></section><section id=\"n2\"><title><p>2</p></title><p><a l:href=\"#wasteland-content.xhtml#ln23\">23.</a> Cf. Ecclesiastes 12:5.</p></section><section id=\"n3\"><title><p>3</p></title><p><a l:href=\"#wasteland-content.xhtml#ln31\">31.</a> V. Tristan und Isolde, i, verses 5-8.</p></section><section id=\"n4\"><title><p>4</p></title><p><a l:href=\"#wasteland-content.xhtml#ln42\">42.</a> Id. iii, verse 24.</p></section><section id=\"n5\"><title><p>5</p></title><p><a l:href=\"#wasteland-content.xhtml#ln46\">46.</a> I am not familiar with the exact constitution of the Tarot pack of cards, from which I have obviously departed to suit my own convenience. The Hanged Man, a member of the traditional pack, fits my purpose in two ways: because he is associated in my mind with the Hanged God of Frazer, and because I associate him with the hooded figure in the passage of the disciples to Emmaus in Part V. The Phoenician Sailor and the Merchant appear later; also the &quot;crowds of people,&quot; and Death by Water is executed in Part IV. The Man with Three Staves (an authentic member of the Tarot pack) I associate, quite arbitrarily, with the Fisher King himself.</p></section><section id=\"n6\"><title><p>6</p></title><p><a l:href=\"#wasteland-content.xhtml#ln60\">60.</a> Cf. Baudelaire:</p><cite><cite><p>&quot;Fourmillante cite;, cite; pleine de reves,\nOu le spectre en plein jour raccroche le passant.&quot;</p></cite></cite></section><section id=\"n7\"><title><p>7</p></title><p><a l:href=\"#wasteland-content.xhtml#ln63\">63.</a> Cf. Inferno, iii. 55-7.</p><cite><cite><p>&quot;si lunga tratta\ndi gente, ch&#39;io non avrei mai creduto\nche morte tanta n&#39;avesse disfatta.&quot;</p></cite></cite></section><section id=\"n8\"><title><p>8</p></title><p><a l:href=\"#wasteland-content.xhtml#ln64\">64.</a> Cf. Inferno, iv. 25-7:</p><cite><cite><p>&quot;Quivi, secondo che per ascoltahre,\n&quot;non avea pianto, ma&#39; che di sospiri,\n&quot;che l&#39;aura eterna facevan tremare.&quot;</p></cite></cite></section><section id=\"n9\"><title><p>9</p></title><p><a l:href=\"#wasteland-content.xhtml#ln68\">68.</a> A phenomenon which I have often noticed.</p></section><section id=\"n10\"><title><p>10</p></title><p><a l:href=\"#wasteland-content.xhtml#ln74\">74.</a> Cf. the Dirge in Webster&#39;s White Devil .</p></section><section id=\"n11\"><title><p>11</p></title><p><a l:href=\"#wasteland-content.xhtml#ln76\">76.</a> V. Baudelaire, Preface to Fleurs du Mal.</p></section><section id=\"n12\"><title><p>12</p></title><p><a l:href=\"#wasteland-content.xhtml#ln77\">77.</a> Cf. Antony and Cleopatra, II. ii., l. 190.</p></section><section id=\"n13\"><title><p>13</p></title><p><a l:href=\"#wasteland-content.xhtml#ln92\">92.</a> Laquearia. V. Aeneid, I. 726:</p><cite><cite><p>dependent lychni laquearibus aureis incensi, et noctem flammis\nfunalia vincunt.</p></cite></cite></section><section id=\"n14\"><title><p>14</p></title><p><a l:href=\"#wasteland-content.xhtml#ln98\">98.</a> Sylvan scene. V. Milton, Paradise Lost, iv. 140.</p></section><section id=\"n15\"><title><p>15</p></title><p><a l:href=\"#wasteland-content.xhtml#ln99\">99.</a> V. Ovid, Metamorphoses, vi, Philomela.</p></section><section id=\"n16\"><title><p>16</p></title><p><a l:href=\"#wasteland-content.xhtml#ln100\">100.</a> Cf. Part III, l. 204.</p></section><section id=\"n17\"><title><p>17</p></title><p><a l:href=\"#wasteland-content.xhtml#ln115\">115.</a> Cf. Part III, l. 195.</p></section><section id=\"n18\"><title><p>18</p></title><p><a l:href=\"#wasteland-content.xhtml#ln118\">118.</a> Cf. Webster:</p><cite><cite><p>&quot;Is the wind in that door still?&quot;</p></cite></cite></section><section id=\"n19\"><title><p>19</p></title><p><a l:href=\"#wasteland-content.xhtml#ln126\">126.</a> Cf. Part I, l. 37, 48.</p></section><section id=\"n20\"><title><p>20</p></title><p><a l:href=\"#wasteland-content.xhtml#ln138\">138.</a> Cf. the game of chess in Middleton&#39;s Women beware Women.</p></section><section id=\"n21\"><title><p>21</p></title><p><a l:href=\"#wasteland-content.xhtml#ln176\">176.</a> V. Spenser, Prothalamion.</p></section><section id=\"n22\"><title><p>22</p></title><p><a l:href=\"#wasteland-content.xhtml#ln192\">192.</a> Cf. The Tempest, I. ii.</p></section><section id=\"n23\"><title><p>23</p></title><p><a l:href=\"#wasteland-content.xhtml#ln196\">196.</a> Cf. Marvell, To His Coy Mistress.</p></section><section id=\"n24\"><title><p>24</p></title><p><a l:href=\"#wasteland-content.xhtml#ln197\">197.</a> Cf. Day, Parliament of Bees:</p><cite><cite><cite><p>&quot;When of the sudden, listening, you shall hear,</p></cite></cite><cite><cite><p>&quot;A noise of horns and hunting, which shall bring</p></cite></cite><cite><cite><p>&quot;Actaeon to Diana in the spring,</p></cite></cite><cite><cite><p>&quot;Where all shall see her naked skin . . .&quot;</p></cite></cite></cite></section><section id=\"n25\"><title><p>25</p></title><p><a l:href=\"#wasteland-content.xhtml#ln199\">199.</a> I do not know the origin of the ballad from which these lines are taken: it was reported to me from Sydney, Australia.</p></section><section id=\"n26\"><title><p>26</p></title><p><a l:href=\"#wasteland-content.xhtml#ln202\">202.</a> V. Verlaine, Parsifal.</p></section><section id=\"n27\"><title><p>27</p></title><p><a l:href=\"#wasteland-content.xhtml#ln210\">210.</a> The currants were quoted at a price &quot;cost insurance and freight to London&quot;; and the Bill of Lading etc. were to be handed to the buyer upon payment of the sight draft.</p></section><section id=\"n28\"><title><p>28</p></title><p><a l:href=\"#wasteland-content.xhtml#ln218\">218.</a> Tiresias, although a mere spectator and not indeed a &quot;character,&quot; is yet the most important personage in the poem, uniting all the rest. Just as the one-eyed merchant, seller of currants, melts into the Phoenician Sailor, and the latter is not wholly distinct from Ferdinand Prince of Naples, so all the women are one woman, and the two sexes meet in Tiresias. What Tiresias sees, in fact, is the substance of the poem. The whole passage from Ovid is of great anthropological interest:</p><cite><cite><p>&#39;. . . Cum Iunone iocos et maior vestra profecto est\nQuam, quae contingit maribus,&#39; dixisse, &#39;voluptas.&#39;\nIlla negat; placuit quae sit sententia docti\nQuaerere Tiresiae: venus huic erat utraque nota.\nNam duo magnorum viridi coeuntia silva\nCorpora serpentum baculi violaverat ictu\nDeque viro factus, mirabile, femina septem\nEgerat autumnos; octavo rursus eosdem\nVidit et &#39;est vestrae si tanta potentia plagae,&#39;\nDixit &#39;ut auctoris sortem in contraria mutet,\nNunc quoque vos feriam!&#39; percussis anguibus isdem\nForma prior rediit genetivaque venit imago.\nArbiter hic igitur sumptus de lite iocosa\nDicta Iovis firmat; gravius Saturnia iusto\nNec pro materia fertur doluisse suique\nIudicis aeterna damnavit lumina nocte,\nAt pater omnipotens (neque enim licet inrita cuiquam\nFacta dei fecisse deo) pro lumine adempto\nScire futura dedit poenamque levavit honore.</p></cite></cite></section><section id=\"n29\"><title><p>29</p></title><p><a l:href=\"#wasteland-content.xhtml#ln221\">221.</a> This may not appear as exact as Sappho&#39;s lines, but I had in mind the &quot;longshore&quot; or &quot;dory&quot; fisherman, who returns at nightfall.</p></section><section id=\"n30\"><title><p>30</p></title><p><a l:href=\"#wasteland-content.xhtml#ln253\">253.</a> V. Goldsmith, the song in The Vicar of Wakefield.</p></section><section id=\"n31\"><title><p>31</p></title><p><a l:href=\"#wasteland-content.xhtml#ln257\">257.</a> V. The Tempest, as above.</p></section><section id=\"n32\"><title><p>32</p></title><p><a l:href=\"#wasteland-content.xhtml#ln264\">264.</a> The interior of St. Magnus Martyr is to my mind one of the finest among Wren&#39;s interiors. See The Proposed Demolition of Nineteen City Churches (P. S. King &amp; Son, Ltd.).</p></section><section id=\"n33\"><title><p>33</p></title><p><a l:href=\"#wasteland-content.xhtml#ln266\">266.</a> The Song of the (three) Thames-daughters begins here. From line 292 to 306 inclusive they speak in turn. V. Gutterdsammerung, III. i: the Rhine-daughters.</p></section><section id=\"n34\"><title><p>34</p></title><p><a l:href=\"#wasteland-content.xhtml#ln279\">279.</a> V. Froude, Elizabeth, Vol. I, ch. iv, letter of De Quadra to Philip of Spain:</p><cite><cite><cite><p>&quot;In the afternoon we were in a barge, watching the games on the river.</p></cite></cite><cite><cite><p>(The queen) was alone with Lord Robert and myself on the poop,</p></cite></cite><cite><cite><p>when they began to talk nonsense, and went so far that Lord Robert</p></cite></cite><cite><cite><p>at last said, as I was on the spot there was no reason why they</p></cite></cite><cite><cite><p>should not be married if the queen pleased.&quot;</p></cite></cite></cite></section><section id=\"n35\"><title><p>35</p></title><p><a l:href=\"#wasteland-content.xhtml#ln293\">293.</a> Cf. Purgatorio, v. 133:</p><cite><cite><p>&quot;Ricorditi di me, che son la Pia;\nSiena mi fe&#39;, disfecemi Maremma.&quot;</p></cite></cite></section><section id=\"n36\"><title><p>36</p></title><p><a l:href=\"#wasteland-content.xhtml#ln307\">307.</a> V. St. Augustine&#39;s Confessions: &quot;to Carthage then I came, where a cauldron of unholy loves sang all about mine ears.&quot;</p></section><section id=\"n37\"><title><p>37</p></title><p><a l:href=\"#wasteland-content.xhtml#ln308\">308.</a> The complete text of the Buddha&#39;s Fire Sermon (which corresponds in importance to the Sermon on the Mount) from which these words are taken, will be found translated in the late Henry Clarke Warren&#39;s Buddhism in Translation (Harvard Oriental Series). Mr. Warren was one of the great pioneers of Buddhist studies in the Occident.</p></section><section id=\"n38\"><title><p>38</p></title><p><a l:href=\"#wasteland-content.xhtml#ln309\">309.</a> From St. Augustine&#39;s Confessions again. The collocation of these two representatives of eastern and western asceticism, as the culmination of this part of the poem, is not an accident.</p></section><section id=\"n39\"><title><p>39</p></title><p><a l:href=\"#wasteland-content.xhtml#ln357\">357.</a> This is Turdus aonalaschkae pallasii, the hermit-thrush which I have heard in Quebec County. Chapman says (Handbook of Birds of Eastern North America) &quot;it is most at home in secluded woodland and thickety retreats. . . . Its notes are not remarkable for variety or volume, but in purity and sweetness of tone and exquisite modulation they are unequalled.&quot; Its &quot;water-dripping song&quot; is justly celebrated.</p></section><section id=\"n40\"><title><p>40</p></title><p><a l:href=\"#wasteland-content.xhtml#ln360\">360.</a> The following lines were stimulated by the account of one of the Antarctic expeditions (I forget which, but I think one of Shackleton&#39;s): it was related that the party of explorers, at the extremity of their strength, had the constant delusion that there was one more member than could actually be counted.</p></section><section id=\"n41\"><title><p>41</p></title><p><a l:href=\"#wasteland-content.xhtml#ln367\">367-77.</a> Cf. Hermann Hesse, Blick ins Chaos:</p><cite><cite><p>&quot;Schon ist halb Europa, schon ist zumindest der halbe Osten Europas auf dem\nWege zum Chaos, fhrt betrunken im heiligem Wahn am Abgrund entlang\nund singt dazu, singt betrunken und hymnisch wie Dmitri Karamasoff sang.\nUeber diese Lieder lacht der Bsrger beleidigt, der Heilige\nund Seher hrt sie mit Trvnen.&quot;</p></cite></cite></section><section id=\"n42\"><title><p>42</p></title><p><a l:href=\"#wasteland-content.xhtml#ln402\">402.</a> “&quot;Datta, dayadhvam, damyata&quot;” (Give, sympathize, control). The fable of the meaning of the Thunder is found in the Brihadaranyaka-Upanishad, 5, 1. A translation is found in Deussen&#39;s Sechzig Upanishads des Veda, p. 489.</p></section><section id=\"n43\"><title><p>43</p></title><p><a l:href=\"#wasteland-content.xhtml#ln408\">408.</a> Cf. Webster, The White Devil, v. vi:</p><cite><cite><p>&quot;. . . they&#39;ll remarry\nEre the worm pierce your winding-sheet, ere the spider\nMake a thin curtain for your epitaphs.&quot;</p></cite></cite></section><section id=\"n44\"><title><p>44</p></title><p><a l:href=\"#wasteland-content.xhtml#ln412\">412.</a> Cf. Inferno, xxxiii. 46:</p><cite><cite><p>&quot;ed io sentii chiavar l&#39;uscio di sotto\nall&#39;orribile torre.&quot;</p></cite></cite><p>Also F. H. Bradley, Appearance and Reality, p. 346:</p><cite><cite><p>&quot;My external sensations are no less private to myself than are my thoughts or my feelings. In either case my experience falls within my own circle, a circle closed on the outside; and, with all its elements alike, every sphere is opaque to the others which surround it. . . . In brief, regarded as an existence which appears in a soul, the whole world for each is peculiar and private to that soul.&quot;</p></cite></cite></section><section id=\"n45\"><title><p>45</p></title><p><a l:href=\"#wasteland-content.xhtml#ln425\">425.</a> V. Weston, From Ritual to Romance; chapter on the Fisher King.</p></section><section id=\"n46\"><title><p>46</p></title><p><a l:href=\"#wasteland-content.xhtml#ln428\">428.</a> V. Purgatorio, xxvi. 148.</p><cite><cite><p>&quot;&#39;Ara vos prec per aquella valor\n&#39;que vos guida al som de l&#39;escalina,\n&#39;sovegna vos a temps de ma dolor.&#39;\nPoi s&#39;ascose nel foco che gli affina.&quot;</p></cite></cite></section><section id=\"n47\"><title><p>47</p></title><p><a l:href=\"#wasteland-content.xhtml#ln429\">429.</a> V. Pervigilium Veneris. Cf. Philomela in Parts II and III.</p></section><section id=\"n48\"><title><p>48</p></title><p><a l:href=\"#wasteland-content.xhtml#ln430\">430.</a> V. Gerard de Nerval, Sonnet El Desdichado.</p></section><section id=\"n49\"><title><p>49</p></title><p><a l:href=\"#wasteland-content.xhtml#ln432\">432.</a> V. Kyd&#39;s Spanish Tragedy.</p></section><section id=\"n50\"><title><p>50</p></title><p><a l:href=\"#wasteland-content.xhtml#ln434\">434.</a> Shantih. Repeated as here, a formal ending to an Upanishad. &#39;The Peace which passeth understanding&#39; is a feeble translation of the content of this word.</p></section></body><binary id=\"image1\" content-type=\"image/jpeg\">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</binary></FictionBook>\n\n"
  },
  {
    "path": "flake.nix",
    "content": "{\n  inputs = {\n    nixpkgs.url = \"github:NixOS/nixpkgs\";\n    flake-parts = {\n      url = \"github:hercules-ci/flake-parts\";\n      inputs.nixpkgs-lib.follows = \"nixpkgs\";\n    };\n    git-hooks-nix = {\n      url = \"github:cachix/git-hooks.nix\";\n      inputs.nixpkgs.follows = \"nixpkgs\";\n    };\n    nix-systems = {\n      url = \"github:nix-systems/default\";\n      flake = false;\n    };\n    rust-flake = {\n      url = \"github:juspay/rust-flake\";\n      inputs.nixpkgs.follows = \"nixpkgs\";\n    };\n    treefmt-nix = {\n      url = \"github:numtide/treefmt-nix\";\n      inputs.nixpkgs.follows = \"nixpkgs\";\n    };\n  };\n\n  outputs =\n    inputs@{\n      flake-parts,\n      nix-systems,\n      ...\n    }:\n    flake-parts.lib.mkFlake { inherit inputs; } (\n      top@{\n        config,\n        withSystem,\n        moduleWithSystem,\n        ...\n      }:\n      {\n        imports = [\n          inputs.git-hooks-nix.flakeModule\n          inputs.rust-flake.flakeModules.default\n          inputs.rust-flake.flakeModules.nixpkgs\n          inputs.treefmt-nix.flakeModule\n        ];\n        systems = import nix-systems;\n        perSystem =\n          {\n            config,\n            self',\n            pkgs,\n            ...\n          }:\n          {\n            pre-commit = {\n              check.enable = true;\n              settings.hooks = {\n                ripsecrets.enable = true;\n                treefmt.enable = true;\n                typos = {\n                  enable = true;\n                  settings.exclude = \"exampledir/*\";\n                };\n              };\n            };\n            rust-project =\n              let\n                dependencies = with pkgs; [\n                  ffmpeg\n                  pandoc\n                  poppler_utils\n                  ripgrep\n                  zip\n                ];\n              in\n              {\n                src = pkgs.lib.cleanSourceWith {\n                  src = config.rust-project.crane-lib.path ./.;\n                  filter = pkgs.lib.cleanSourceFilter;\n                };\n                crates.ripgrep_all.crane.args.buildInputs = dependencies;\n                crates.ripgrep_all.crane.args.nativeBuildInputs = dependencies;\n              };\n            treefmt.config = {\n              projectRootFile = \".git/config\";\n              flakeCheck = false; # use pre-commit's check instead\n              programs = {\n                nixfmt.enable = true;\n                rustfmt = {\n                  enable = true;\n                  package = config.rust-project.crane-lib.rustfmt;\n                };\n              };\n            };\n            packages = {\n              default = self'.packages.ripgrep_all;\n              ripgrep-all = self'.packages.ripgrep_all;\n              rga = self'.packages.ripgrep_all;\n            };\n            devShells.default = config.rust-project.crane-lib.devShell {\n              inputsFrom = [\n                config.pre-commit.devShell\n                config.treefmt.build.devShell\n              ];\n            };\n          };\n      }\n    );\n}\n"
  },
  {
    "path": "rust-toolchain.toml",
    "content": "[toolchain]\nchannel = \"stable\"\n"
  },
  {
    "path": "src/adapted_iter.rs",
    "content": "use std::pin::Pin;\n\nuse tokio_stream::Stream;\n\nuse crate::adapters::AdaptInfo;\n\npub trait AdaptedFilesIter: Stream<Item = anyhow::Result<AdaptInfo>> + Send {}\nimpl<T> AdaptedFilesIter for T where T: Stream<Item = anyhow::Result<AdaptInfo>> + Send {}\n\npub type AdaptedFilesIterBox = Pin<Box<dyn AdaptedFilesIter>>;\n\npub fn one_file(ai: AdaptInfo) -> AdaptedFilesIterBox {\n    Box::pin(tokio_stream::once(Ok(ai)))\n}\n"
  },
  {
    "path": "src/adapters/custom.rs",
    "content": "use super::*;\nuse super::{AdaptInfo, AdapterMeta, FileAdapter, GetMetadata};\nuse crate::adapted_iter::one_file;\n\nuse crate::{\n    adapted_iter::AdaptedFilesIterBox,\n    expand::expand_str_ez,\n    matching::{FastFileMatcher, FileMatcher},\n};\nuse crate::{join_handle_to_stream, to_io_err};\nuse anyhow::Result;\nuse async_stream::stream;\nuse bytes::Bytes;\nuse lazy_static::lazy_static;\nuse log::debug;\nuse schemars::JsonSchema;\nuse serde::{Deserialize, Serialize};\nuse std::path::Path;\nuse std::process::Stdio;\nuse tokio::io::AsyncReadExt;\nuse tokio::process::Child;\nuse tokio::process::Command;\n\nuse tokio_util::io::StreamReader;\n// mostly the same as AdapterMeta + SpawningFileAdapter\n#[derive(Debug, Deserialize, Serialize, JsonSchema, Default, PartialEq, Clone)]\npub struct CustomAdapterConfig {\n    /// The unique identifier and name of this adapter.\n    ///\n    /// Must only include a-z, 0-9, _.\n    pub name: String,\n\n    /// The description of this adapter shown in help.\n    pub description: String,\n\n    /// If true, the adapter will be disabled by default.\n    pub disabled_by_default: Option<bool>,\n\n    /// Version identifier used to key cache entries.\n    ///\n    /// Change this if the configuration or program changes.\n    pub version: i32,\n\n    /// The file extensions this adapter supports, for example `[\"epub\", \"mobi\"]`.\n    pub extensions: Vec<String>,\n\n    /// If not null and `--rga-accurate` is enabled, mimetype matching is used instead of file name matching.\n    pub mimetypes: Option<Vec<String>>,\n\n    /// If `--rga-accurate`, only match by mime types and ignore extensions completely.\n    pub match_only_by_mime: Option<bool>,\n\n    /// The name or path of the binary to run.\n    pub binary: String,\n\n    /// The arguments to run the program with.\n    /// Placeholders:\n    /// - `$input_file_extension`: the file extension (without dot). e.g. foo.tar.gz -> gz\n    /// - `$input_file_stem`: the file name without the last extension. e.g. foo.tar.gz -> foo.tar\n    /// - `$input_virtual_path`: the full input file path.\n    ///   Note that this path may not actually exist on disk because it is the result of another adapter.\n    ///\n    /// stdin of the program will be connected to the input file, and stdout is assumed to be the converted file\n    pub args: Vec<String>,\n\n    /// The output path hint.\n    /// The placeholders are the same as for `.args`\n    ///\n    /// If not set, defaults to `\"${input_virtual_path}.txt\"`.\n    ///\n    /// Setting this is useful if the output format is not plain text (.txt) but instead some other format that should be passed to another adapter\n    pub output_path_hint: Option<String>,\n}\n\nfn strs(arr: &[&str]) -> Vec<String> {\n    arr.iter().map(ToString::to_string).collect()\n}\n\nlazy_static! {\n    pub static ref BUILTIN_SPAWNING_ADAPTERS: Vec<CustomAdapterConfig> = vec![\n        // from https://github.com/jgm/pandoc/blob/master/src/Text/Pandoc/App/FormatHeuristics.hs\n        // excluding formats that could cause problems (.db ?= sqlite) or that are already text formats (e.g. xml-based)\n        //\"db\"       -> Just \"docbook\"\n        //\"adoc\"     -> Just \"asciidoc\"\n        //\"asciidoc\" -> Just \"asciidoc\"\n        //\"context\"  -> Just \"context\"\n        //\"ctx\"      -> Just \"context\"\n        //\"dokuwiki\" -> Just \"dokuwiki\"\n        //\"htm\"      -> Just \"html\"\n        //\"html\"     -> Just \"html\"\n        //\"json\"     -> Just \"json\"\n        //\"latex\"    -> Just \"latex\"\n        //\"lhs\"      -> Just \"markdown+lhs\"\n        //\"ltx\"      -> Just \"latex\"\n        //\"markdown\" -> Just \"markdown\"\n        //\"md\"       -> Just \"markdown\"\n        //\"ms\"       -> Just \"ms\"\n        //\"muse\"     -> Just \"muse\"\n        //\"native\"   -> Just \"native\"\n        //\"opml\"     -> Just \"opml\"\n        //\"org\"      -> Just \"org\"\n        //\"roff\"     -> Just \"ms\"\n        //\"rst\"      -> Just \"rst\"\n        //\"s5\"       -> Just \"s5\"\n        //\"t2t\"      -> Just \"t2t\"\n        //\"tei\"      -> Just \"tei\"\n        //\"tei.xml\"  -> Just \"tei\"\n        //\"tex\"      -> Just \"latex\"\n        //\"texi\"     -> Just \"texinfo\"\n        //\"texinfo\"  -> Just \"texinfo\"\n        //\"textile\"  -> Just \"textile\"\n        //\"text\"     -> Just \"markdown\"\n        //\"txt\"      -> Just \"markdown\"\n        //\"xhtml\"    -> Just \"html\"\n        //\"wiki\"     -> Just \"mediawiki\"\n        CustomAdapterConfig {\n            name: \"pandoc\".to_string(),\n            description: \"Uses pandoc to convert binary/unreadable text documents to plain markdown-like text\".to_string(),\n            version: 3,\n            extensions: strs(&[\"epub\", \"odt\", \"docx\", \"fb2\", \"ipynb\", \"html\", \"htm\"]),\n            binary: \"pandoc\".to_string(),\n            mimetypes: None,\n            // simpler markdown (with more information loss but plainer text)\n            //.arg(\"--to=commonmark-header_attributes-link_attributes-fenced_divs-markdown_in_html_blocks-raw_html-native_divs-native_spans-bracketed_spans\")\n            args: strs(&[\n                \"--from=$input_file_extension\",\n                \"--to=plain\",\n                \"--wrap=none\",\n                \"--markdown-headings=atx\"\n            ]),\n            disabled_by_default: None,\n            match_only_by_mime: None,\n            output_path_hint: None\n        },\n        CustomAdapterConfig {\n            name: \"poppler\".to_owned(),\n            version: 1,\n            description: \"Uses pdftotext (from poppler-utils) to extract plain text from PDF files\"\n                .to_owned(),\n\n            extensions: strs(&[\"pdf\"]),\n            mimetypes: Some(strs(&[\"application/pdf\"])),\n\n            binary: \"pdftotext\".to_string(),\n            args: strs(&[\"-\", \"-\"]),\n            disabled_by_default: None,\n            match_only_by_mime: None,\n            output_path_hint: Some(\"${input_virtual_path}.txt.asciipagebreaks\".into())\n        }\n    ];\n}\n\n/// replace a Command.spawn() error \"File not found\" with a more readable error\n/// to indicate some program is not installed\npub fn map_exe_error(err: std::io::Error, exe_name: &str, help: &str) -> anyhow::Error {\n    use std::io::ErrorKind::*;\n    match err.kind() {\n        NotFound => format_err!(\"Could not find executable \\\"{}\\\". {}\", exe_name, help),\n        _ => anyhow::Error::from(err),\n    }\n}\n\nfn proc_wait(mut child: Child, context: impl FnOnce() -> String) -> impl AsyncRead {\n    let s = stream! {\n        let res = child.wait().await?;\n        if res.success() {\n            yield std::io::Result::Ok(Bytes::new());\n        } else {\n            Err(format_err!(\"{:?}\", res)).with_context(context).map_err(to_io_err)?;\n        }\n    };\n    StreamReader::new(s)\n}\n\npub fn pipe_output(\n    _line_prefix: &str,\n    mut cmd: Command,\n    inp: ReadBox,\n    exe_name: &str,\n    help: &str,\n) -> Result<ReadBox> {\n    let cmd_log = format!(\"{:?}\", cmd); // todo: perf\n    let mut cmd = cmd\n        .stdin(Stdio::piped())\n        .stdout(Stdio::piped())\n        .spawn()\n        .map_err(|e| map_exe_error(e, exe_name, help))?;\n    let mut stdi = cmd.stdin.take().expect(\"is piped\");\n    let stdo = cmd.stdout.take().expect(\"is piped\");\n\n    let join = tokio::spawn(async move {\n        let mut z = inp;\n        tokio::io::copy(&mut z, &mut stdi).await?;\n        std::io::Result::Ok(())\n    });\n    Ok(Box::pin(stdo.chain(\n        proc_wait(cmd, move || format!(\"subprocess: {cmd_log}\")).chain(join_handle_to_stream(join)),\n    )))\n}\n\npub struct CustomSpawningFileAdapter {\n    binary: String,\n    args: Vec<String>,\n    meta: AdapterMeta,\n    output_path_hint: Option<String>,\n}\nimpl GetMetadata for CustomSpawningFileAdapter {\n    fn metadata(&self) -> &AdapterMeta {\n        &self.meta\n    }\n}\nfn arg_replacer(arg: &str, filepath_hint: &Path) -> Result<String> {\n    expand_str_ez(arg, |s| match s {\n        \"input_virtual_path\" => Ok(filepath_hint.to_string_lossy()),\n        \"input_file_stem\" => Ok(filepath_hint\n            .file_stem()\n            .unwrap_or_default()\n            .to_string_lossy()),\n        \"input_file_extension\" => Ok(filepath_hint\n            .extension()\n            .unwrap_or_default()\n            .to_string_lossy()),\n        e => Err(anyhow::format_err!(\"unknown replacer ${{{e}}}\")),\n    })\n}\nimpl CustomSpawningFileAdapter {\n    fn command(\n        &self,\n        filepath_hint: &std::path::Path,\n        mut command: tokio::process::Command,\n    ) -> Result<tokio::process::Command> {\n        command.args(\n            self.args\n                .iter()\n                .map(|arg| arg_replacer(arg, filepath_hint))\n                .collect::<Result<Vec<_>>>()?,\n        );\n        log::debug!(\"running command {:?}\", command);\n        Ok(command)\n    }\n}\n#[async_trait]\nimpl FileAdapter for CustomSpawningFileAdapter {\n    async fn adapt(\n        &self,\n        ai: AdaptInfo,\n        _detection_reason: &FileMatcher,\n    ) -> Result<AdaptedFilesIterBox> {\n        let AdaptInfo {\n            filepath_hint,\n            inp,\n            line_prefix,\n            archive_recursion_depth,\n            postprocess,\n            config,\n            ..\n        } = ai;\n\n        let cmd = Command::new(&self.binary);\n        let cmd = self\n            .command(&filepath_hint, cmd)\n            .with_context(|| format!(\"Could not set cmd arguments for {}\", self.binary))?;\n        debug!(\"executing {:?}\", cmd);\n        let output = pipe_output(&line_prefix, cmd, inp, &self.binary, \"\")?;\n        Ok(one_file(AdaptInfo {\n            filepath_hint: PathBuf::from(arg_replacer(\n                self.output_path_hint\n                    .as_deref()\n                    .unwrap_or(\"${input_virtual_path}.txt\"),\n                &filepath_hint,\n            )?),\n            inp: output,\n            line_prefix,\n            is_real_file: false,\n            archive_recursion_depth: archive_recursion_depth + 1,\n            postprocess,\n            config,\n        }))\n    }\n}\nimpl CustomAdapterConfig {\n    pub fn to_adapter(&self) -> CustomSpawningFileAdapter {\n        CustomSpawningFileAdapter {\n            binary: self.binary.clone(),\n            args: self.args.clone(),\n            output_path_hint: self.output_path_hint.clone(),\n            meta: AdapterMeta {\n                name: self.name.clone(),\n                version: self.version,\n                description: format!(\n                    \"{}\\nRuns: {} {}\",\n                    self.description,\n                    self.binary,\n                    self.args.join(\" \")\n                ),\n                recurses: true,\n                fast_matchers: self\n                    .extensions\n                    .iter()\n                    .map(|s| FastFileMatcher::FileExtension(s.to_string()))\n                    .collect(),\n                slow_matchers: self.mimetypes.as_ref().map(|mimetypes| {\n                    mimetypes\n                        .iter()\n                        .map(|s| FileMatcher::MimeType(s.to_string()))\n                        .collect()\n                }),\n                keep_fast_matchers_if_accurate: !self.match_only_by_mime.unwrap_or(false),\n                disabled_by_default: self.disabled_by_default.unwrap_or(false),\n            },\n        }\n    }\n}\n\n#[cfg(test)]\nmod test {\n    use super::super::FileAdapter;\n    use super::*;\n    use crate::preproc::loop_adapt;\n    use crate::test_utils::*;\n    use anyhow::Result;\n    use pretty_assertions::assert_eq;\n    use tokio::fs::File;\n\n    #[tokio::test]\n    async fn poppler() -> Result<()> {\n        let adapter = poppler_adapter();\n\n        let filepath = test_data_dir().join(\"short.pdf\");\n\n        let (a, d) = simple_adapt_info(&filepath, Box::pin(File::open(&filepath).await?));\n        // let r = adapter.adapt(a, &d)?;\n        let r = loop_adapt(&adapter, d, a).await?;\n        let o = adapted_to_vec(r).await?;\n        assert_eq!(\n            String::from_utf8(o)?,\n            \"PREFIX:Page 1: hello world\nPREFIX:Page 1: this is just a test.\nPREFIX:Page 1: \nPREFIX:Page 1: 1\nPREFIX:Page 1: \nPREFIX:Page 1: \n\"\n        );\n        Ok(())\n    }\n\n    use crate::{\n        adapters::custom::CustomAdapterConfig,\n        test_utils::{adapted_to_vec, simple_adapt_info},\n    };\n    use std::io::Cursor;\n\n    #[tokio::test]\n    async fn streaming() -> anyhow::Result<()> {\n        // an adapter that converts input line by line (deadlocks if the parent process tries to write everything and only then read it)\n        let adapter = CustomAdapterConfig {\n            name: \"simple text replacer\".to_string(),\n            description: \"oo\".to_string(),\n            disabled_by_default: None,\n            version: 1,\n            extensions: vec![\"txt\".to_string()],\n            mimetypes: None,\n            match_only_by_mime: None,\n            binary: \"sed\".to_string(),\n            args: vec![\"s/e/u/g\".to_string()],\n            output_path_hint: None,\n        };\n\n        let adapter = adapter.to_adapter();\n        let input = r#\"\n        This is the story of a\n        very strange lorry\n        with a long dead crew\n        and a witch with the flu\n        \"#;\n        let input = format!(\"{input}{input}{input}{input}\");\n        let input = format!(\"{input}{input}{input}{input}\");\n        let input = format!(\"{input}{input}{input}{input}\");\n        let input = format!(\"{input}{input}{input}{input}\");\n        let input = format!(\"{input}{input}{input}{input}\");\n        let input = format!(\"{input}{input}{input}{input}\");\n        let (a, d) = simple_adapt_info(\n            Path::new(\"foo.txt\"),\n            Box::pin(Cursor::new(Vec::from(input))),\n        );\n        let output = adapter.adapt(a, &d).await.unwrap();\n\n        let oup = adapted_to_vec(output).await?;\n        println!(\"output: {}\", String::from_utf8_lossy(&oup));\n        Ok(())\n    }\n}\n"
  },
  {
    "path": "src/adapters/decompress.rs",
    "content": "use crate::adapted_iter::one_file;\n\nuse super::*;\n\nuse anyhow::Result;\nuse lazy_static::lazy_static;\nuse tokio::io::BufReader;\n\nuse std::path::{Path, PathBuf};\n\nstatic EXTENSIONS: &[&str] = &[\"als\", \"bz2\", \"gz\", \"tbz\", \"tbz2\", \"tgz\", \"xz\", \"zst\"];\nstatic MIME_TYPES: &[&str] = &[\n    \"application/gzip\",\n    \"application/x-bzip\",\n    \"application/x-xz\",\n    \"application/zstd\",\n];\nlazy_static! {\n    static ref METADATA: AdapterMeta = AdapterMeta {\n        name: \"decompress\".to_owned(),\n        version: 1,\n        description:\n            \"Reads compressed file as a stream and runs a different extractor on the contents.\"\n                .to_owned(),\n        recurses: true,\n        fast_matchers: EXTENSIONS\n            .iter()\n            .map(|s| FastFileMatcher::FileExtension(s.to_string()))\n            .collect(),\n        slow_matchers: Some(\n            MIME_TYPES\n                .iter()\n                .map(|s| FileMatcher::MimeType(s.to_string()))\n                .collect()\n        ),\n        disabled_by_default: false,\n        keep_fast_matchers_if_accurate: true\n    };\n}\n#[derive(Default)]\npub struct DecompressAdapter;\n\nimpl DecompressAdapter {\n    pub fn new() -> Self {\n        Self\n    }\n}\nimpl GetMetadata for DecompressAdapter {\n    fn metadata(&self) -> &AdapterMeta {\n        &METADATA\n    }\n}\n\nfn decompress_any(reason: &FileMatcher, inp: ReadBox) -> Result<ReadBox> {\n    use FastFileMatcher::*;\n    use FileMatcher::*;\n    use async_compression::tokio::bufread;\n    let gz = |inp: ReadBox| Box::pin(bufread::GzipDecoder::new(BufReader::new(inp)));\n    let bz2 = |inp: ReadBox| Box::pin(bufread::BzDecoder::new(BufReader::new(inp)));\n    let xz = |inp: ReadBox| Box::pin(bufread::XzDecoder::new(BufReader::new(inp)));\n    let zst = |inp: ReadBox| Box::pin(bufread::ZstdDecoder::new(BufReader::new(inp)));\n\n    Ok(match reason {\n        Fast(FileExtension(ext)) => match ext.as_ref() {\n            \"als\" | \"gz\" | \"tgz\" => gz(inp),\n            \"bz2\" | \"tbz\" | \"tbz2\" => bz2(inp),\n            \"zst\" => zst(inp),\n            \"xz\" => xz(inp),\n            ext => Err(format_err!(\"don't know how to decompress {}\", ext))?,\n        },\n        MimeType(mime) => match mime.as_ref() {\n            \"application/gzip\" => gz(inp),\n            \"application/x-bzip\" => bz2(inp),\n            \"application/x-xz\" => xz(inp),\n            \"application/zstd\" => zst(inp),\n            mime => Err(format_err!(\"don't know how to decompress mime {}\", mime))?,\n        },\n    })\n}\nfn get_inner_filename(filename: &Path) -> PathBuf {\n    let extension = filename\n        .extension()\n        .map(|e| e.to_string_lossy())\n        .unwrap_or(Cow::Borrowed(\"\"));\n    let stem = filename\n        .file_stem()\n        .expect(\"no filename given?\")\n        .to_string_lossy();\n    let new_extension = match extension.as_ref() {\n        \"tgz\" | \"tbz\" | \"tbz2\" => \".tar\",\n        _other => \"\",\n    };\n    filename.with_file_name(format!(\"{}{}\", stem, new_extension))\n}\n\n#[async_trait]\nimpl FileAdapter for DecompressAdapter {\n    async fn adapt(\n        &self,\n        ai: AdaptInfo,\n        detection_reason: &FileMatcher,\n    ) -> Result<AdaptedFilesIterBox> {\n        Ok(one_file(AdaptInfo {\n            filepath_hint: get_inner_filename(&ai.filepath_hint),\n            is_real_file: false,\n            archive_recursion_depth: ai.archive_recursion_depth + 1,\n            inp: decompress_any(detection_reason, ai.inp)?,\n            line_prefix: ai.line_prefix,\n            config: ai.config.clone(),\n            postprocess: ai.postprocess,\n        }))\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::preproc::loop_adapt;\n    use crate::test_utils::*;\n    use pretty_assertions::assert_eq;\n    use tokio::fs::File;\n\n    #[test]\n    fn test_inner_filename() {\n        for (a, b) in &[\n            (\"hi/test.tgz\", \"hi/test.tar\"),\n            (\"hi/hello.gz\", \"hi/hello\"),\n            (\"a/b/initramfs\", \"a/b/initramfs\"),\n            (\"hi/test.tbz2\", \"hi/test.tar\"),\n            (\"hi/test.tbz\", \"hi/test.tar\"),\n            (\"hi/test.hi.bz2\", \"hi/test.hi\"),\n            (\"hello.tar.gz\", \"hello.tar\"),\n        ] {\n            assert_eq!(get_inner_filename(&PathBuf::from(a)), PathBuf::from(*b));\n        }\n    }\n\n    #[tokio::test]\n    async fn gz() -> Result<()> {\n        let adapter = DecompressAdapter;\n\n        let filepath = test_data_dir().join(\"hello.gz\");\n\n        let (a, d) = simple_adapt_info(&filepath, Box::pin(File::open(&filepath).await?));\n        let r = adapter.adapt(a, &d).await?;\n        let o = adapted_to_vec(r).await?;\n        assert_eq!(String::from_utf8(o)?, \"hello\\n\");\n        Ok(())\n    }\n\n    #[tokio::test]\n    async fn pdf_gz() -> Result<()> {\n        let adapter = DecompressAdapter;\n\n        let filepath = test_data_dir().join(\"short.pdf.gz\");\n\n        let (a, d) = simple_adapt_info(&filepath, Box::pin(File::open(&filepath).await?));\n        let r = loop_adapt(&adapter, d, a).await?;\n        let o = adapted_to_vec(r).await?;\n        assert_eq!(\n            String::from_utf8(o)?,\n            \"PREFIX:Page 1: hello world\nPREFIX:Page 1: this is just a test.\nPREFIX:Page 1: \nPREFIX:Page 1: 1\nPREFIX:Page 1: \nPREFIX:Page 1: \n\"\n        );\n        Ok(())\n    }\n}\n"
  },
  {
    "path": "src/adapters/ffmpeg.rs",
    "content": "use super::*;\nuse super::{custom::map_exe_error, writing::async_writeln};\nuse anyhow::*;\nuse async_trait::async_trait;\nuse lazy_static::lazy_static;\nuse regex::Regex;\nuse serde::{Deserialize, Serialize};\nuse std::process::Stdio;\nuse tokio::io::AsyncWrite;\nuse tokio::io::{AsyncBufReadExt, BufReader};\nuse tokio::process::Command;\nuse writing::WritingFileAdapter;\n// todo:\n// maybe todo: read list of extensions from\n// ffmpeg -demuxers | tail -n+5 | awk '{print $2}' | while read demuxer; do echo MUX=$demuxer; ffmpeg -h demuxer=$demuxer | grep 'Common extensions'; done 2>/dev/null\n// but really, the probability of getting useful information from a .flv is low\nstatic EXTENSIONS: &[&str] = &[\"mkv\", \"mp4\", \"avi\", \"mp3\", \"ogg\", \"flac\", \"webm\"];\n\nlazy_static! {\n    static ref METADATA: AdapterMeta = AdapterMeta {\n        name: \"ffmpeg\".to_owned(),\n        version: 1,\n        description:\n            \"Uses ffmpeg to extract video metadata/chapters, subtitles, lyrics, and other metadata\"\n                .to_owned(),\n        recurses: false,\n        fast_matchers: EXTENSIONS\n            .iter()\n            .map(|s| FastFileMatcher::FileExtension(s.to_string()))\n            .collect(),\n        slow_matchers: None,\n        disabled_by_default: false,\n        keep_fast_matchers_if_accurate: true\n    };\n}\n\n#[derive(Default, Clone)]\npub struct FFmpegAdapter;\n\nimpl FFmpegAdapter {\n    pub fn new() -> Self {\n        Self\n    }\n}\nimpl GetMetadata for FFmpegAdapter {\n    fn metadata(&self) -> &AdapterMeta {\n        &METADATA\n    }\n}\n\n#[derive(Serialize, Deserialize)]\nstruct FFprobeOutput {\n    streams: Vec<FFprobeStream>,\n}\n#[derive(Serialize, Deserialize)]\nstruct FFprobeStream {\n    index: i32, // stream index\n}\n\n#[async_trait]\nimpl WritingFileAdapter for FFmpegAdapter {\n    async fn adapt_write(\n        ai: AdaptInfo,\n        _detection_reason: &FileMatcher,\n        mut oup: Pin<Box<dyn AsyncWrite + Send>>,\n    ) -> Result<()> {\n        let AdaptInfo {\n            is_real_file,\n            filepath_hint,\n            line_prefix,\n            ..\n        } = ai;\n        if !is_real_file {\n            // we *could* probably adapt this to also work based on streams,\n            // it would require using a BufReader to read at least part of the file to memory\n            // but really when would you want to search for videos within archives?\n            // So instead, we only run this adapter if the file is a actual file on disk for now\n            async_writeln!(oup, \"{line_prefix}[rga: skipping video in archive]\\n\")?;\n            return Ok(());\n        }\n        let inp_fname = filepath_hint;\n        let spawn_fail = |e| map_exe_error(e, \"ffprobe\", \"Make sure you have ffmpeg installed.\");\n        let subtitle_streams = {\n            let probe = Command::new(\"ffprobe\")\n                .args(vec![\n                    \"-v\",\n                    \"error\", // show all errors\n                    \"-select_streams\",\n                    \"s\", // show only subtitle streams\n                    \"-of\",\n                    \"json\", // use json as output format\n                    \"-show_entries\",\n                    \"stream=index\", // show index of subtitle streams\n                ])\n                .arg(\"-i\")\n                .arg(&inp_fname)\n                .output()\n                .await\n                .map_err(spawn_fail)?;\n            if !probe.status.success() {\n                return Err(format_err!(\n                    \"ffprobe failed: {:?}\\n{}\",\n                    probe.status,\n                    String::from_utf8_lossy(&probe.stderr)\n                ));\n            }\n            let p: FFprobeOutput = serde_json::from_slice(&probe.stdout)?;\n            p.streams\n        };\n        {\n            // extract file metadata (especially chapter names in a greppable format)\n            let mut probe = Command::new(\"ffprobe\")\n                .args(vec![\n                    \"-v\",\n                    \"error\",\n                    \"-show_format\",\n                    \"-show_streams\",\n                    \"-of\",\n                    \"flat\",\n                    // \"-show_data\",\n                    \"-show_error\",\n                    \"-show_programs\",\n                    \"-show_chapters\",\n                    // \"-count_frames\",\n                    //\"-count_packets\",\n                ])\n                .arg(\"-i\")\n                .arg(&inp_fname)\n                .stdout(Stdio::piped())\n                .spawn()?;\n            let mut lines = BufReader::new(probe.stdout.as_mut().unwrap()).lines();\n            while let Some(line) = lines.next_line().await? {\n                let line = line.replace(\"\\\\r\\\\n\", \"\\n\").replace(\"\\\\n\", \"\\n\"); // just unescape newlines\n                async_writeln!(oup, \"metadata: {line}\")?;\n            }\n            let exit = probe.wait().await?;\n            if !exit.success() {\n                return Err(format_err!(\"ffprobe failed: {:?}\", exit));\n            }\n        }\n        if !subtitle_streams.is_empty() {\n            let time_re = Regex::new(r\".*\\d.*-->.*\\d.*\").unwrap();\n            for probe_stream in subtitle_streams.iter() {\n                // extract subtitles\n                let mut cmd = Command::new(\"ffmpeg\");\n                cmd.arg(\"-hide_banner\")\n                    .arg(\"-loglevel\")\n                    .arg(\"panic\")\n                    .arg(\"-i\")\n                    .arg(&inp_fname)\n                    .arg(\"-map\")\n                    .arg(format!(\"0:{}\", probe_stream.index)) // 0 for first input\n                    .arg(\"-f\")\n                    .arg(\"webvtt\")\n                    .arg(\"-\");\n                let mut cmd = cmd.stdout(Stdio::piped()).spawn().map_err(spawn_fail)?;\n                let stdo = cmd.stdout.as_mut().expect(\"is piped\");\n                let mut time: String = \"\".to_owned();\n                // rewrite subtitle times so they are shown as a prefix in every line\n                let mut lines = BufReader::new(stdo).lines();\n                while let Some(line) = lines.next_line().await? {\n                    // 09:55.195 --> 09:56.730\n                    if time_re.is_match(&line) {\n                        time = line.to_owned();\n                    } else if line.is_empty() {\n                        async_writeln!(oup)?;\n                    } else {\n                        async_writeln!(oup, \"{time}: {line}\")?;\n                    }\n                }\n            }\n        }\n        Ok(())\n    }\n}\n"
  },
  {
    "path": "src/adapters/mbox.rs",
    "content": "use super::*;\n\nuse anyhow::Result;\nuse async_stream::stream;\nuse lazy_static::lazy_static;\nuse mime2ext::mime2ext;\nuse regex::bytes::Regex;\nuse tokio::io::AsyncReadExt;\n\nuse std::{collections::VecDeque, io::Cursor};\n\nstatic EXTENSIONS: &[&str] = &[\"mbox\", \"mbx\", \"eml\"];\nstatic MIME_TYPES: &[&str] = &[\"application/mbox\", \"message/rfc822\"];\nlazy_static! {\n    static ref METADATA: AdapterMeta = AdapterMeta {\n        name: \"mail\".to_owned(),\n        version: 1,\n        description:\n            \"Reads mailbox/mail files and runs extractors on the contents and attachments.\"\n                .to_owned(),\n        recurses: true,\n        fast_matchers: EXTENSIONS\n            .iter()\n            .map(|s| FastFileMatcher::FileExtension(s.to_string()))\n            .collect(),\n        slow_matchers: Some(\n            MIME_TYPES\n                .iter()\n                .map(|s| FileMatcher::MimeType(s.to_string()))\n                .collect()\n        ),\n        disabled_by_default: true,\n        keep_fast_matchers_if_accurate: true\n    };\n    static ref FROM_REGEX: Regex = Regex::new(\"\\r?\\nFrom [^\\n]+\\n\").unwrap();\n}\n#[derive(Default)]\npub struct MboxAdapter;\n\nimpl MboxAdapter {\n    pub fn new() -> Self {\n        Self\n    }\n}\nimpl GetMetadata for MboxAdapter {\n    fn metadata(&self) -> &AdapterMeta {\n        &METADATA\n    }\n}\n\n#[async_trait]\nimpl FileAdapter for MboxAdapter {\n    async fn adapt(\n        &self,\n        ai: AdaptInfo,\n        _detection_reason: &FileMatcher,\n    ) -> Result<AdaptedFilesIterBox> {\n        let AdaptInfo {\n            filepath_hint,\n            mut inp,\n            line_prefix,\n            archive_recursion_depth,\n            config,\n            postprocess,\n            ..\n        } = ai;\n\n        let mut content = Vec::new();\n        let s = stream! {\n            inp.read_to_end(&mut content).await?;\n\n            let mut ais = vec![];\n            for mail_bytes in FROM_REGEX.splitn(&content, usize::MAX) {\n                let mail_content = mail_bytes.splitn(2, |x| *x == b'\\n').nth(1).unwrap();\n                let mail = mailparse::parse_mail(mail_content);\n                if mail.is_err() {\n                    continue;\n                }\n                let mail = mail.unwrap();\n\n                let mut todos = VecDeque::new();\n                todos.push_back(mail);\n\n                while let Some(mail) = todos.pop_front() {\n                let mut path = filepath_hint.clone();\n                let filename = mail.get_content_disposition().params.get(\"filename\").cloned();\n                match &*mail.ctype.mimetype {\n                    x if x.starts_with(\"multipart/\") => {\n                        todos.extend(mail.subparts);\n                        continue;\n                    }\n                    mime => {\n                        if let Some(name) = filename {\n                            path.push(name);\n                        } else if let Some(extension) = mime2ext(mime) {\n                            path.push(format!(\"data.{extension}\"));\n                        } else {\n                            path.push(\"data\");\n                        }\n                    }\n                }\n\n                let mut config = config.clone();\n                config.accurate = true;\n\n                let raw_body = mail.get_body_raw();\n                if raw_body.is_err() {\n                    continue;\n                }\n                let ai2: AdaptInfo = AdaptInfo {\n                    filepath_hint: path,\n                    is_real_file: false,\n                    archive_recursion_depth: archive_recursion_depth + 1,\n                    inp: Box::pin(Cursor::new(raw_body.unwrap())),\n                    line_prefix: line_prefix.to_string(),\n                    config,\n                    postprocess,\n                };\n                ais.push(ai2);\n                }\n            }\n            for a in ais {\n                yield(Ok(a));\n            }\n        };\n        Ok(Box::pin(s))\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::preproc::loop_adapt;\n    use crate::test_utils::*;\n    use pretty_assertions::assert_eq;\n    use tokio::fs::File;\n    use tokio_stream::StreamExt;\n\n    #[tokio::test]\n    async fn mail_simple() -> Result<()> {\n        let adapter = MboxAdapter;\n\n        let filepath = test_data_dir().join(\"github_email.eml\");\n\n        let (a, d) = simple_adapt_info(&filepath, Box::pin(File::open(&filepath).await?));\n        let mut r = adapter.adapt(a, &d).await?;\n        let mut count = 0;\n        while let Some(file) = r.next().await {\n            let mut file = file?;\n            let mut buf = Vec::new();\n            file.inp.read_to_end(&mut buf).await?;\n            match file\n                .filepath_hint\n                .components()\n                .next_back()\n                .unwrap()\n                .as_os_str()\n                .to_str()\n                .unwrap()\n            {\n                \"data.txt\" | \"data.html\" => {\n                    assert!(String::from_utf8(buf)?.contains(\"Thank you for your contribution\"));\n                }\n                x => panic!(\"unexpected filename {x:?}\"),\n            }\n            count += 1;\n        }\n        assert_eq!(2, count);\n        Ok(())\n    }\n\n    #[tokio::test]\n    async fn mbox_simple() -> Result<()> {\n        let adapter = MboxAdapter;\n\n        let filepath = test_data_dir().join(\"test.mbx\");\n\n        let (a, d) = simple_adapt_info(&filepath, Box::pin(File::open(&filepath).await?));\n        let mut r = adapter.adapt(a, &d).await?;\n        let mut count = 0;\n        while let Some(file) = r.next().await {\n            let mut file = file?;\n            assert_eq!(\n                \"data.html\",\n                file.filepath_hint\n                    .components()\n                    .next_back()\n                    .unwrap()\n                    .as_os_str()\n            );\n            let mut buf = Vec::new();\n            file.inp.read_to_end(&mut buf).await?;\n            assert_eq!(\n                \"<html>\\r\\n  <head>\\r\\n    <meta http-equiv=\\\"content-type\\\" content=\\\"text/html; charset=UTF-8\\\">\\r\\n  </head>\\r\\n  <body>\\r\\n    <p>&gt;From</p>\\r\\n    <p>Another word &gt;From<br>\\r\\n    </p>\\r\\n  </body>\\r\\n</html>\",\n                String::from_utf8(buf)?.trim()\n            );\n            count += 1;\n        }\n        assert_eq!(3, count);\n        Ok(())\n    }\n\n    #[tokio::test]\n    async fn mbox_attachment() -> Result<()> {\n        init_logging();\n\n        let adapter = MboxAdapter;\n\n        let filepath = test_data_dir().join(\"mail_with_attachment.mbox\");\n\n        let (a, d) = simple_adapt_info(&filepath, Box::pin(File::open(&filepath).await?));\n        let mut r = loop_adapt(&adapter, d, a).await?;\n        let mut count = 0;\n        while let Some(file) = r.next().await {\n            let mut file = file?;\n            let path = file\n                .filepath_hint\n                .components()\n                .next_back()\n                .unwrap()\n                .as_os_str()\n                .to_str()\n                .unwrap();\n            let mut buf = Vec::new();\n            file.inp.read_to_end(&mut buf).await?;\n            match path {\n                \"data.html.txt\" => {\n                    assert_eq!(\n                        \"PREFIX:regular text\\nPREFIX:\\n\",\n                        String::from_utf8(buf).unwrap_or(\"err\".to_owned())\n                    );\n                }\n                \"short.pdf.txt\" => {\n                    assert_eq!(\n                        \"PREFIX:Page 1: hello world\\nPREFIX:Page 1: this is just a test.\\nPREFIX:Page 1: \\nPREFIX:Page 1: 1\\nPREFIX:Page 1: \\nPREFIX:Page 1: \\n\",\n                        String::from_utf8(buf).unwrap_or(\"err\".to_owned())\n                    );\n                }\n                _ => {\n                    panic!(\"unrelated {path:?}\");\n                }\n            }\n            count += 1;\n        }\n        assert_eq!(2, count); // one message + one attachment\n        Ok(())\n    }\n}\n"
  },
  {
    "path": "src/adapters/postproc.rs",
    "content": "//trait RunFnAdapter: GetMetadata {}\n\n//impl<T> FileAdapter for T where T: RunFnAdapter {}\n\nuse anyhow::Result;\nuse async_stream::stream;\nuse async_trait::async_trait;\nuse bytes::Bytes;\nuse encoding_rs::Encoding;\nuse encoding_rs_io::DecodeReaderBytesBuilder;\nuse tokio_util::io::SyncIoBridge;\n\nuse std::io::Cursor;\nuse std::path::PathBuf;\nuse std::pin::Pin;\nuse tokio::io::{AsyncRead, AsyncReadExt};\nuse tokio_util::io::ReaderStream;\nuse tokio_util::io::StreamReader;\n\nuse crate::adapted_iter::AdaptedFilesIterBox;\nuse crate::adapted_iter::one_file;\nuse crate::matching::FastFileMatcher;\n\nuse super::{AdaptInfo, AdapterMeta, FileAdapter, GetMetadata};\n\nfn add_newline(ar: impl AsyncRead + Send) -> impl AsyncRead + Send {\n    ar.chain(Cursor::new(b\"\\n\"))\n}\n\npub struct PostprocPrefix {}\nimpl GetMetadata for PostprocPrefix {\n    fn metadata(&self) -> &super::AdapterMeta {\n        lazy_static::lazy_static! {\n            static ref METADATA: AdapterMeta = AdapterMeta {\n                name: \"postprocprefix\".to_owned(),\n                version: 1,\n                description: \"Adds the line prefix to each line (e.g. the filename within a zip)\".to_owned(),\n                recurses: false,\n                fast_matchers: vec![],\n                slow_matchers: None,\n                keep_fast_matchers_if_accurate: false,\n                disabled_by_default: false\n            };\n        }\n        &METADATA\n    }\n}\n#[async_trait]\nimpl FileAdapter for PostprocPrefix {\n    async fn adapt(\n        &self,\n        a: super::AdaptInfo,\n        _detection_reason: &crate::matching::FileMatcher,\n    ) -> Result<AdaptedFilesIterBox> {\n        let read = add_newline(postproc_prefix(\n            &a.line_prefix,\n            postproc_encoding(&a.line_prefix, a.inp).await?,\n        ));\n        // keep adapt info (filename etc) except replace inp\n        let ai = AdaptInfo {\n            inp: Box::pin(read),\n            postprocess: false,\n            ..a\n        };\n        Ok(one_file(ai))\n    }\n}\n\n/*struct ReadErr {\n    err: Fn() -> std::io::Error,\n}\nimpl Read for ReadErr {\n    fn read(&mut self, buf: &mut [u8]) -> std::io::Result<usize> {\n        Err(self.err())\n    }\n}*/\n\n/**\n * Detects and converts encodings other than utf-8 to utf-8.\n * If the input stream does not contain valid text, returns the string `[rga: binary data]` instead\n */\nasync fn postproc_encoding(\n    _line_prefix: &str,\n    inp: Pin<Box<dyn AsyncRead + Send>>,\n) -> Result<Pin<Box<dyn AsyncRead + Send>>> {\n    // check for binary content in first 8kB\n    // read the first 8kB into a buffer, check for null bytes, then return the buffer concatenated with the rest of the file\n    let mut fourk = Vec::with_capacity(1 << 13);\n    let mut beginning = inp.take(1 << 13);\n\n    beginning.read_to_end(&mut fourk).await?;\n    let has_binary = fourk.contains(&0u8);\n\n    let enc = Encoding::for_bom(&fourk);\n    let inp = Cursor::new(fourk).chain(beginning.into_inner());\n    match enc {\n        Some((enc, _)) if enc != encoding_rs::UTF_8 => {\n            // detected UTF16LE or UTF16BE, convert to UTF8 in separate thread\n            // TODO: parse these options from ripgrep's configuration\n            let encoding = None; // detect bom but usually assume utf8\n            let bom_sniffing = true;\n            let mut decode_builder = DecodeReaderBytesBuilder::new();\n            // https://github.com/BurntSushi/ripgrep/blob/a7d26c8f144a4957b75f71087a66692d0b25759a/grep-searcher/src/searcher/mod.rs#L706\n            // this detects utf-16 BOMs and transcodes to utf-8 if they are present\n            // it does not detect any other char encodings. that would require https://github.com/hsivonen/chardetng or similar but then binary detection is hard (?)\n            let mut inp = decode_builder\n                .encoding(encoding)\n                .utf8_passthru(true)\n                .strip_bom(bom_sniffing)\n                .bom_override(true)\n                .bom_sniffing(bom_sniffing)\n                .build(SyncIoBridge::new(inp));\n            let oup = tokio::task::spawn_blocking(move || -> Result<Vec<u8>> {\n                let mut oup = Vec::new();\n                std::io::Read::read_to_end(&mut inp, &mut oup)?;\n                Ok(oup)\n            })\n            .await??;\n            Ok(Box::pin(Cursor::new(oup)))\n        }\n        _ => {\n            if has_binary {\n                log::debug!(\"detected binary\");\n                return Ok(Box::pin(Cursor::new(\"[rga: binary data]\")));\n            }\n            Ok(Box::pin(inp))\n        }\n    }\n}\n\n/// Adds the given prefix to each line in an `AsyncRead`.\npub fn postproc_prefix<T: AsyncRead + Send>(\n    line_prefix: &str,\n    inp: T,\n) -> impl AsyncRead + Send + use<T> {\n    let line_prefix_n = format!(\"\\n{line_prefix}\"); // clone since we need it later\n    let line_prefix_o = Bytes::copy_from_slice(line_prefix.as_bytes());\n    let regex = regex::bytes::Regex::new(\"\\n\").unwrap();\n    let inp_stream = ReaderStream::new(inp);\n    let oup_stream = stream! {\n        yield Ok(line_prefix_o);\n        for await chunk in inp_stream {\n            match chunk {\n                Err(e) => yield Err(e),\n                Ok(chunk) => {\n                    if chunk.contains(&b'\\n') {\n                        yield Ok(Bytes::copy_from_slice(&regex.replace_all(&chunk, line_prefix_n.as_bytes())));\n                    } else {\n                        yield Ok(chunk);\n                    }\n                }\n            }\n        }\n    };\n    Box::pin(StreamReader::new(oup_stream))\n}\n\n#[derive(Default)]\npub struct PostprocPageBreaks {}\n\nimpl GetMetadata for PostprocPageBreaks {\n    fn metadata(&self) -> &super::AdapterMeta {\n        lazy_static::lazy_static! {\n            static ref METADATA: AdapterMeta = AdapterMeta {\n                name: \"postprocpagebreaks\".to_owned(),\n                version: 1,\n                description: \"Adds the page number to each line for an input file that specifies page breaks as ascii page break character.\\nMainly to be used internally by the poppler adapter.\".to_owned(),\n                recurses: false,\n                fast_matchers: vec![FastFileMatcher::FileExtension(\"asciipagebreaks\".to_string())],\n                slow_matchers: None,\n                keep_fast_matchers_if_accurate: false,\n                disabled_by_default: false\n            };\n        }\n        &METADATA\n    }\n}\n#[async_trait]\nimpl FileAdapter for PostprocPageBreaks {\n    async fn adapt(\n        &self,\n        a: super::AdaptInfo,\n        _detection_reason: &crate::matching::FileMatcher,\n    ) -> Result<AdaptedFilesIterBox> {\n        let read = postproc_pagebreaks(postproc_encoding(&a.line_prefix, a.inp).await?);\n        // keep adapt info (filename etc) except replace inp\n        let ai = AdaptInfo {\n            inp: Box::pin(read),\n            archive_recursion_depth: a.archive_recursion_depth + 1,\n            filepath_hint: a\n                .filepath_hint\n                .parent()\n                .map(PathBuf::from)\n                .unwrap_or_default()\n                .join(a.filepath_hint.file_stem().unwrap_or_default()),\n            ..a\n        };\n        Ok(one_file(ai))\n    }\n}\n/// Adds the prefix \"Page N: \" to each line,\n/// where N starts at one and is incremented for each ASCII Form Feed character in the input stream.\n/// ASCII form feeds are the page delimiters output by `pdftotext`.\npub fn postproc_pagebreaks(input: impl AsyncRead + Send) -> impl AsyncRead + Send {\n    let regex_linefeed = regex::bytes::Regex::new(r\"\\x0c\").unwrap();\n    let regex_newline = regex::bytes::Regex::new(\"\\n\").unwrap();\n    let mut page_count: i32 = 1;\n    let mut page_prefix: String = format!(\"\\nPage {page_count}: \");\n\n    let input_stream = ReaderStream::new(input);\n    let output_stream = stream! {\n        yield std::io::Result::Ok(Bytes::copy_from_slice(format!(\"Page {page_count}: \").as_bytes()));\n        // store Page X: line prefixes in pending and only write it to the output when there is more text to be written\n        // this is needed since pdftotext outputs a \\x0c at the end of the last page\n        let mut pending: Option<Bytes> = None;\n\n        for await read_chunk in input_stream {\n            let read_chunk = read_chunk?;\n            let page_chunks = regex_linefeed.split(&read_chunk);\n            for (chunk_idx, page_chunk) in page_chunks.enumerate() {\n                if chunk_idx != 0 {\n                    page_count += 1;\n                    page_prefix = format!(\"\\nPage {page_count}: \");\n                    if let Some(p) = pending.take() {\n                        yield Ok(p);\n                    }\n                    pending = Some(Bytes::copy_from_slice(page_prefix.as_bytes()));\n                }\n                if !page_chunk.is_empty() {\n                    if let Some(p) = pending.take() {\n                        yield Ok(p);\n                    }\n                    yield Ok(Bytes::copy_from_slice(&regex_newline.replace_all(page_chunk, page_prefix.as_bytes())));\n                }\n\n            }\n        }\n\n\n    };\n    Box::pin(StreamReader::new(output_stream))\n}\n\n#[cfg(test)]\nmod tests {\n    use crate::preproc::loop_adapt;\n    use crate::test_utils::*;\n\n    use super::*;\n    use anyhow::Result;\n    use pretty_assertions::assert_eq;\n    use tokio::fs::File;\n    use tokio::pin;\n    use tokio_test::io::Builder;\n    use tokio_test::io::Mock;\n\n    #[tokio::test]\n    async fn test_with_pagebreaks() {\n        let mut output: Vec<u8> = Vec::new();\n        let mock: Mock = Builder::new()\n            .read(b\"Hello\\nWorld\\x0cFoo Bar\\n\\x0cTest\\x0c\")\n            .build();\n        let res = postproc_pagebreaks(mock).read_to_end(&mut output).await;\n        println!(\"{}\", String::from_utf8_lossy(&output));\n        assert!(res.is_ok());\n        assert_eq!(\n            String::from_utf8_lossy(&output),\n            \"Page 1: Hello\\nPage 1: World\\nPage 2: Foo Bar\\nPage 2: \\nPage 3: Test\"\n        );\n    }\n\n    #[tokio::test]\n    async fn test_with_pagebreaks_chunks() {\n        let mut output: Vec<u8> = Vec::new();\n        let mock: Mock = Builder::new()\n            .read(b\"Hello\\nWo\")\n            .read(b\"rld\\x0c\")\n            .read(b\"Foo Bar\\n\")\n            .read(b\"\\x0cTest\\x0c\")\n            .build();\n        let res = postproc_pagebreaks(mock).read_to_end(&mut output).await;\n        println!(\"{}\", String::from_utf8_lossy(&output));\n        assert!(res.is_ok());\n        assert_eq!(\n            String::from_utf8_lossy(&output),\n            \"Page 1: Hello\\nPage 1: World\\nPage 2: Foo Bar\\nPage 2: \\nPage 3: Test\"\n        );\n    }\n\n    #[tokio::test]\n    async fn test_pdf_twoblank() -> Result<()> {\n        let adapter = poppler_adapter();\n        let fname = test_data_dir().join(\"twoblankpages.pdf\");\n        let rd = File::open(&fname).await?;\n        let (a, d) = simple_adapt_info(&fname, Box::pin(rd));\n        let res = loop_adapt(&adapter, d, a).await?;\n\n        let buf = adapted_to_vec(res).await?;\n\n        assert_eq!(\n            String::from_utf8(buf)?,\n            \"PREFIX:Page 1: \nPREFIX:Page 2: \nPREFIX:Page 3: HelloWorld\nPREFIX:Page 3: \nPREFIX:Page 3: \n\",\n        );\n\n        Ok(())\n    }\n\n    #[tokio::test]\n    async fn test_postproc_prefix() {\n        let mut output: Vec<u8> = Vec::new();\n        let mock: Mock = Builder::new().read(b\"Hello\\nWorld\").build();\n        let res = postproc_prefix(\"prefix: \", mock)\n            .read_to_end(&mut output)\n            .await;\n        println!(\"{}\", String::from_utf8_lossy(&output));\n        assert!(res.is_ok());\n        assert_eq!(output, b\"prefix: Hello\\nprefix: World\");\n    }\n\n    async fn test_from_strs(\n        pagebreaks: bool,\n        line_prefix: &str,\n        a: &'static str,\n        b: &str,\n    ) -> Result<()> {\n        test_from_bytes(pagebreaks, line_prefix, a.as_bytes(), b).await\n    }\n\n    async fn test_from_bytes(\n        pagebreaks: bool,\n        line_prefix: &str,\n        a: &'static [u8],\n        b: &str,\n    ) -> Result<()> {\n        let mut oup = Vec::new();\n        let inp = Box::pin(Cursor::new(a));\n        let inp = postproc_encoding(\"\", inp).await?;\n        if pagebreaks {\n            postproc_pagebreaks(inp).read_to_end(&mut oup).await?;\n        } else {\n            let x = postproc_prefix(line_prefix, inp);\n            pin!(x);\n            x.read_to_end(&mut oup).await?;\n        }\n        let c = String::from_utf8_lossy(&oup);\n        assert_eq!(c, b, \"source: {}\", String::from_utf8_lossy(a));\n\n        Ok(())\n    }\n\n    #[tokio::test]\n    async fn test_utf16() -> Result<()> {\n        let utf16lebom: &[u8] = &[\n            0xff, 0xfe, 0x68, 0x00, 0x65, 0x00, 0x6c, 0x00, 0x6c, 0x00, 0x6f, 0x00, 0x20, 0x00,\n            0x77, 0x00, 0x6f, 0x00, 0x72, 0x00, 0x6c, 0x00, 0x64, 0x00, 0x20, 0x00, 0x3d, 0xd8,\n            0xa9, 0xdc, 0x0a, 0x00,\n        ];\n        let utf16bebom: &[u8] = &[\n            0xfe, 0xff, 0x00, 0x68, 0x00, 0x65, 0x00, 0x6c, 0x00, 0x6c, 0x00, 0x6f, 0x00, 0x20,\n            0x00, 0x77, 0x00, 0x6f, 0x00, 0x72, 0x00, 0x6c, 0x00, 0x64, 0x00, 0x20, 0xd8, 0x3d,\n            0xdc, 0xa9, 0x00, 0x0a,\n        ];\n        test_from_bytes(false, \"\", utf16lebom, \"hello world 💩\\n\").await?;\n        test_from_bytes(false, \"\", utf16bebom, \"hello world 💩\\n\").await?;\n        Ok(())\n    }\n\n    #[tokio::test]\n    async fn post1() -> Result<()> {\n        let inp = \"What is this\\nThis is a test\\nFoo\";\n        let oup = \"Page 1: What is this\\nPage 1: This is a test\\nPage 1: Foo\";\n\n        test_from_strs(true, \"\", inp, oup).await?;\n\n        println!(\"\\n\\n\\n\\n\");\n\n        let inp = \"What is this\\nThis is a test\\nFoo\\x0c\\nHelloooo\\nHow are you?\\x0c\\nGreat!\";\n        let oup = \"Page 1: What is this\\nPage 1: This is a test\\nPage 1: Foo\\nPage 2: \\nPage 2: Helloooo\\nPage 2: How are you?\\nPage 3: \\nPage 3: Great!\";\n\n        test_from_strs(true, \"\", inp, oup).await?;\n\n        let inp = \"What is this\\nThis is a test\\nFoo\\x0c\\nHelloooo\\nHow are you?\\x0c\\nGreat!\";\n        let oup = \"foo.pdf:What is this\\nfoo.pdf:This is a test\\nfoo.pdf:Foo\\x0c\\nfoo.pdf:Helloooo\\nfoo.pdf:How are you?\\x0c\\nfoo.pdf:Great!\";\n\n        test_from_strs(false, \"foo.pdf:\", inp, oup).await?;\n\n        Ok(())\n    }\n\n    #[tokio::test]\n    async fn test_binary_content() -> Result<()> {\n        test_from_strs(\n            false,\n            \"foo:\",\n            \"this is a test \\n\\n \\0 foo\",\n            \"foo:[rga: binary data]\",\n        )\n        .await?;\n        test_from_strs(false, \"foo:\", \"\\0\", \"foo:[rga: binary data]\").await?;\n        Ok(())\n    }\n\n    /*#[test]\n    fn chardet() -> Result<()> {\n        let mut d = chardetng::EncodingDetector::new();\n        let mut v = Vec::new();\n        std::fs::File::open(\"/home/phire/passwords-2018.kdbx.old\").unwrap().read_to_end(&mut v).unwrap();\n        d.feed(&v, false);\n        println!(\"foo {:?}\", d.guess(None, true));\n        Ok(())\n    }*/\n}\n"
  },
  {
    "path": "src/adapters/sqlite.rs",
    "content": "use super::{writing::WritingFileAdapter, *};\nuse anyhow::Result;\nuse async_trait::async_trait;\nuse lazy_static::lazy_static;\nuse log::*;\nuse rusqlite::types::ValueRef;\nuse rusqlite::*;\nuse std::{convert::TryInto, io::Write};\nuse tokio::io::AsyncWrite;\n\nuse tokio_util::io::SyncIoBridge;\n\nstatic EXTENSIONS: &[&str] = &[\"db\", \"db3\", \"sqlite\", \"sqlite3\"];\n\nlazy_static! {\n    static ref METADATA: AdapterMeta = AdapterMeta {\n        name: \"sqlite\".to_owned(),\n        version: 1,\n        description:\n            \"Uses sqlite bindings to convert sqlite databases into a simple plain text format\"\n                .to_owned(),\n        recurses: false, // set to true if we decide to make sqlite blobs searchable (gz blob in db is kinda common I think)\n        fast_matchers: EXTENSIONS\n            .iter()\n            .map(|s| FastFileMatcher::FileExtension(s.to_string()))\n            .collect(),\n        slow_matchers: Some(vec![FileMatcher::MimeType(\n            \"application/x-sqlite3\".to_owned()\n        )]),\n        keep_fast_matchers_if_accurate: false,\n        disabled_by_default: false\n    };\n}\n\n#[derive(Default, Clone)]\npub struct SqliteAdapter;\n\nimpl SqliteAdapter {\n    pub fn new() -> Self {\n        Self\n    }\n}\nimpl GetMetadata for SqliteAdapter {\n    fn metadata(&self) -> &AdapterMeta {\n        &METADATA\n    }\n}\n\nfn format_blob(b: ValueRef) -> String {\n    use ValueRef;\n    match b {\n        ValueRef::Null => \"NULL\".to_owned(),\n        ValueRef::Integer(i) => format!(\"{}\", i),\n        ValueRef::Real(i) => format!(\"{}\", i),\n        ValueRef::Text(i) => format!(\"'{}'\", String::from_utf8_lossy(i).replace('\\'', \"''\")),\n        ValueRef::Blob(b) => format!(\n            \"[blob {}B]\",\n            size_format::SizeFormatterSI::new(\n                // can't be larger than 2GB anyways\n                b.len().try_into().unwrap()\n            )\n        ),\n    }\n}\n\nfn synchronous_dump_sqlite(ai: AdaptInfo, mut s: impl Write) -> Result<()> {\n    let AdaptInfo {\n        is_real_file,\n        filepath_hint,\n        line_prefix,\n        ..\n    } = ai;\n    if !is_real_file {\n        // db is in an archive\n        // todo: read to memory and then use that blob if size < max\n        writeln!(s, \"{line_prefix}[rga: skipping sqlite in archive]\",)?;\n        return Ok(());\n    }\n    let inp_fname = filepath_hint;\n    let conn = Connection::open_with_flags(&inp_fname, OpenFlags::SQLITE_OPEN_READ_ONLY)\n        .with_context(|| format!(\"opening sqlite connection to {}\", inp_fname.display()))?;\n    let tables: Vec<String> = conn\n        .prepare(\"select name from sqlite_master where type='table'\")\n        .context(\"while preparing query\")?\n        .query_map([], |r| r.get::<_, String>(0))\n        .context(\"while executing query\")?\n        .filter_map(|e| e.ok())\n        .collect();\n    debug!(\"db has {} tables\", tables.len());\n    for table in tables {\n        // can't use query param at that position\n        let mut sel = conn.prepare(&format!(\n            \"select * from {}\",\n            rusqlite::vtab::escape_double_quote(&table)\n        ))?;\n        let col_names: Vec<String> = sel\n            .column_names()\n            .into_iter()\n            .map(|e| e.to_owned())\n            .collect();\n        let mut z = sel.query([])?;\n        // writeln!(oup, \"{}: {}\", table, cols.join(\", \"))?;\n\n        // kind of shitty (lossy) output. maybe output real csv or something?\n        while let Some(row) = z.next()? {\n            let row_str = col_names\n                .iter()\n                .enumerate()\n                .map(|(i, e)| Ok(format!(\"{}={}\", e, format_blob(row.get_ref(i)?))))\n                .collect::<Result<Vec<String>>>()?\n                .join(\", \");\n            writeln!(s, \"{line_prefix}{table}: {row_str}\",)?;\n        }\n    }\n    Ok(())\n}\n\n#[async_trait]\nimpl WritingFileAdapter for SqliteAdapter {\n    async fn adapt_write(\n        ai: AdaptInfo,\n        _detection_reason: &FileMatcher,\n        oup: Pin<Box<dyn AsyncWrite + Send>>,\n    ) -> Result<()> {\n        if ai.filepath_hint.file_name().and_then(|e| e.to_str()) == Some(\"Thumbs.db\") {\n            // skip windows thumbnail cache\n            return Ok(());\n        }\n        let oup_sync = SyncIoBridge::new(oup);\n        tokio::task::spawn_blocking(|| synchronous_dump_sqlite(ai, oup_sync))\n            .await?\n            .context(\"in synchronous sqlite task\")?;\n        Ok(())\n    }\n}\n\n#[cfg(test)]\nmod test {\n    use super::*;\n    use crate::test_utils::*;\n    use pretty_assertions::assert_eq;\n\n    #[tokio::test]\n    async fn simple() -> Result<()> {\n        let adapter: Box<dyn FileAdapter> = Box::<SqliteAdapter>::default();\n        let fname = test_data_dir().join(\"hello.sqlite3\");\n        let (a, d) = simple_fs_adapt_info(&fname).await?;\n        let res = adapter.adapt(a, &d).await?;\n\n        let buf = adapted_to_vec(res).await?;\n\n        assert_eq!(\n            String::from_utf8(buf)?,\n            \"PREFIX:tbl: greeting='hello', from='sqlite database!'\\nPREFIX:tbl2: x=123, y=456.789\\n\",\n        );\n\n        Ok(())\n    }\n}\n"
  },
  {
    "path": "src/adapters/tar.rs",
    "content": "use crate::{\n    adapted_iter::AdaptedFilesIterBox,\n    adapters::AdapterMeta,\n    matching::{FastFileMatcher, FileMatcher},\n    print_bytes,\n};\nuse anyhow::*;\nuse async_stream::stream;\nuse async_trait::async_trait;\nuse lazy_static::lazy_static;\nuse log::*;\nuse std::path::PathBuf;\n\nuse tokio_stream::StreamExt;\n\nuse super::{AdaptInfo, FileAdapter, GetMetadata};\n\nstatic EXTENSIONS: &[&str] = &[\"tar\"];\n\nlazy_static! {\n    static ref METADATA: AdapterMeta = AdapterMeta {\n        name: \"tar\".to_owned(),\n        version: 1,\n        description: \"Reads a tar file as a stream and recurses down into its contents\".to_owned(),\n        recurses: true,\n        fast_matchers: EXTENSIONS\n            .iter()\n            .map(|s| FastFileMatcher::FileExtension(s.to_string()))\n            .collect(),\n        slow_matchers: None,\n        keep_fast_matchers_if_accurate: true,\n        disabled_by_default: false\n    };\n}\n#[derive(Default, Clone)]\npub struct TarAdapter;\n\nimpl TarAdapter {\n    pub fn new() -> Self {\n        Self\n    }\n}\nimpl GetMetadata for TarAdapter {\n    fn metadata(&self) -> &AdapterMeta {\n        &METADATA\n    }\n}\n\n#[async_trait]\nimpl FileAdapter for TarAdapter {\n    async fn adapt(\n        &self,\n        ai: AdaptInfo,\n        _detection_reason: &FileMatcher,\n    ) -> Result<AdaptedFilesIterBox> {\n        let AdaptInfo {\n            filepath_hint,\n            inp,\n            line_prefix,\n            archive_recursion_depth,\n            config,\n            postprocess,\n            ..\n        } = ai;\n        let mut archive = ::tokio_tar::Archive::new(inp);\n\n        let mut entries = archive.entries()?;\n        let s = stream! {\n            while let Some(entry) = entries.next().await {\n                let file = entry?;\n                if tokio_tar::EntryType::Regular == file.header().entry_type() {\n                    let path = PathBuf::from(file.path()?.to_owned());\n                    debug!(\n                        \"{}|{}: {}\",\n                        filepath_hint.display(),\n                        path.display(),\n                        print_bytes(file.header().size().unwrap_or(0) as f64),\n                    );\n                    let line_prefix = &format!(\"{}{}: \", line_prefix, path.display());\n                    let ai2: AdaptInfo = AdaptInfo {\n                        filepath_hint: path,\n                        is_real_file: false,\n                        archive_recursion_depth: archive_recursion_depth + 1,\n                        inp: Box::pin(file),\n                        line_prefix: line_prefix.to_string(),\n                        config: config.clone(),\n                        postprocess,\n                    };\n                    yield Ok(ai2);\n                }\n            }\n        };\n\n        Ok(Box::pin(s))\n    }\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n    use crate::{preproc::loop_adapt, test_utils::*};\n    use pretty_assertions::assert_eq;\n    use tokio::fs::File;\n\n    #[tokio::test]\n    async fn test_simple_tar() -> Result<()> {\n        let filepath = test_data_dir().join(\"hello.tar\");\n\n        let (a, d) = simple_adapt_info(&filepath, Box::pin(File::open(&filepath).await?));\n\n        let adapter = TarAdapter::new();\n        let r = loop_adapt(&adapter, d, a).await.context(\"adapt\")?;\n        let o = adapted_to_vec(r).await.context(\"adapted_to_vec\")?;\n        assert_eq!(\n            String::from_utf8(o).context(\"parsing utf8\")?,\n            \"PREFIX:dir/file-b.pdf: Page 1: hello world\nPREFIX:dir/file-b.pdf: Page 1: this is just a test.\nPREFIX:dir/file-b.pdf: Page 1: \nPREFIX:dir/file-b.pdf: Page 1: 1\nPREFIX:dir/file-b.pdf: Page 1: \nPREFIX:dir/file-b.pdf: Page 1: \nPREFIX:dir/file-a.pdf: Page 1: hello world\nPREFIX:dir/file-a.pdf: Page 1: this is just a test.\nPREFIX:dir/file-a.pdf: Page 1: \nPREFIX:dir/file-a.pdf: Page 1: 1\nPREFIX:dir/file-a.pdf: Page 1: \nPREFIX:dir/file-a.pdf: Page 1: \n\"\n        );\n        Ok(())\n    }\n}\n"
  },
  {
    "path": "src/adapters/writing.rs",
    "content": "use std::pin::Pin;\n\nuse crate::{adapted_iter::one_file, join_handle_to_stream, to_io_err};\n\nuse super::{AdaptInfo, FileAdapter, GetMetadata};\nuse anyhow::{Context, Result};\nuse async_trait::async_trait;\nuse tokio::io::{AsyncReadExt, AsyncWrite};\n\n#[async_trait]\npub trait WritingFileAdapter: GetMetadata + Send + Sync + Clone {\n    async fn adapt_write(\n        a: super::AdaptInfo,\n        detection_reason: &crate::matching::FileMatcher,\n        oup: Pin<Box<dyn AsyncWrite + Send>>,\n    ) -> Result<()>;\n}\n\nmacro_rules! async_writeln {\n    ($dst: expr_2021) => {\n        {\n            tokio::io::AsyncWriteExt::write_all(&mut $dst, b\"\\n\").await\n        }\n    };\n    ($dst: expr_2021, $fmt: expr_2021) => {\n        {\n            use std::io::Write;\n            let mut buf = Vec::<u8>::new();\n            writeln!(buf, $fmt)?;\n            tokio::io::AsyncWriteExt::write_all(&mut $dst, &buf).await\n        }\n    };\n    ($dst: expr_2021, $fmt: expr_2021, $($arg: tt)*) => {\n        {\n            use std::io::Write;\n            let mut buf = Vec::<u8>::new();\n            writeln!(buf, $fmt, $( $arg )*)?;\n            tokio::io::AsyncWriteExt::write_all(&mut $dst, &buf).await\n        }\n    };\n}\npub(crate) use async_writeln;\n\n#[async_trait]\nimpl<T> FileAdapter for T\nwhere\n    T: WritingFileAdapter,\n{\n    async fn adapt(\n        &self,\n        a: super::AdaptInfo,\n        detection_reason: &crate::matching::FileMatcher,\n    ) -> Result<crate::adapted_iter::AdaptedFilesIterBox> {\n        let name = self.metadata().name.clone();\n        let (w, r) = tokio::io::duplex(128 * 1024);\n        let d2 = detection_reason.clone();\n        let archive_recursion_depth = a.archive_recursion_depth + 1;\n        let filepath_hint = format!(\"{}.txt\", a.filepath_hint.to_string_lossy());\n        let postprocess = a.postprocess;\n        let line_prefix = a.line_prefix.clone();\n        let config = a.config.clone();\n        let joiner = tokio::spawn(async move {\n            let x = d2;\n            T::adapt_write(a, &x, Box::pin(w))\n                .await\n                .with_context(|| format!(\"in {}.adapt_write\", name))\n                .map_err(to_io_err)\n        });\n\n        Ok(one_file(AdaptInfo {\n            is_real_file: false,\n            filepath_hint: filepath_hint.into(),\n            archive_recursion_depth,\n            config,\n            inp: Box::pin(r.chain(join_handle_to_stream(joiner))),\n            line_prefix,\n            postprocess,\n        }))\n    }\n}\n"
  },
  {
    "path": "src/adapters/zip.rs",
    "content": "use super::*;\nuse crate::print_bytes;\nuse anyhow::*;\nuse async_stream::stream;\nuse lazy_static::lazy_static;\nuse log::*;\n\n// TODO: allow users to configure file extensions instead of hard coding the list\n// https://github.com/phiresky/ripgrep-all/pull/208#issuecomment-2173241243\nstatic EXTENSIONS: &[&str] = &[\"zip\", \"jar\", \"xpi\", \"kra\", \"snagx\"];\n\nlazy_static! {\n    static ref METADATA: AdapterMeta = AdapterMeta {\n        name: \"zip\".to_owned(),\n        version: 1,\n        description: \"Reads a zip file as a stream and recurses down into its contents\".to_owned(),\n        recurses: true,\n        fast_matchers: EXTENSIONS\n            .iter()\n            .map(|s| FastFileMatcher::FileExtension(s.to_string()))\n            .collect(),\n        slow_matchers: Some(vec![FileMatcher::MimeType(\"application/zip\".to_owned())]),\n        keep_fast_matchers_if_accurate: false,\n        disabled_by_default: false\n    };\n}\n#[derive(Default, Clone)]\npub struct ZipAdapter;\n\nimpl ZipAdapter {\n    pub fn new() -> Self {\n        Self\n    }\n}\nimpl GetMetadata for ZipAdapter {\n    fn metadata(&self) -> &AdapterMeta {\n        &METADATA\n    }\n}\n\n#[async_trait]\nimpl FileAdapter for ZipAdapter {\n    async fn adapt(\n        &self,\n        ai: AdaptInfo,\n        _detection_reason: &FileMatcher,\n    ) -> Result<AdaptedFilesIterBox> {\n        // let (s, r) = mpsc::channel(1);\n        let AdaptInfo {\n            inp,\n            filepath_hint,\n            archive_recursion_depth,\n            postprocess,\n            line_prefix,\n            config,\n            is_real_file,\n            ..\n        } = ai;\n        if is_real_file {\n            use async_zip::read::fs::ZipFileReader;\n\n            let zip = ZipFileReader::new(&filepath_hint).await?;\n            let s = stream! {\n                for i in 0..zip.file().entries().len() {\n                    let file = zip.get_entry(i)?;\n                    let reader = zip.entry(i).await?;\n                    if file.filename().ends_with('/') {\n                        continue;\n                    }\n                    debug!(\n                        \"{}{}|{}: {} ({} packed)\",\n                        line_prefix,\n                        filepath_hint.display(),\n                        file.filename(),\n                        print_bytes(file.uncompressed_size() as f64),\n                        print_bytes(file.compressed_size() as f64)\n                    );\n                    let new_line_prefix = format!(\"{}{}: \", line_prefix, file.filename());\n                    let fname = PathBuf::from(file.filename());\n                    tokio::pin!(reader);\n                    // SAFETY: this should be solvable without unsafe but idk how :(\n                    // the issue is that ZipEntryReader borrows from ZipFileReader, but we need to yield it here into the stream\n                    // but then it can't borrow from the ZipFile\n                    let reader2 = unsafe {\n                        std::mem::transmute::<\n                            Pin<&mut (dyn AsyncRead + Send)>,\n                            Pin<&'static mut (dyn AsyncRead + Send)>,\n                        >(reader)\n                    };\n                    yield Ok(AdaptInfo {\n                        filepath_hint: fname,\n                        is_real_file: false,\n                        inp: Box::pin(reader2),\n                        line_prefix: new_line_prefix,\n                        archive_recursion_depth: archive_recursion_depth + 1,\n                        postprocess,\n                        config: config.clone(),\n                    });\n                }\n            };\n\n            Ok(Box::pin(s))\n        } else {\n            use async_zip::read::stream::ZipFileReader;\n            let mut zip = ZipFileReader::new(inp);\n\n            let s = stream! {\n                    trace!(\"begin zip\");\n                    while let Some(mut entry) = zip.next_entry().await? {\n                        trace!(\"zip next entry\");\n                        let file = entry.entry();\n                        if file.filename().ends_with('/') {\n                            zip = entry.skip().await?;\n\n                            continue;\n                        }\n                        debug!(\n                            \"{}{}|{}: {} ({} packed)\",\n                            line_prefix,\n                            filepath_hint.display(),\n                            file.filename(),\n                            print_bytes(file.uncompressed_size() as f64),\n                            print_bytes(file.compressed_size() as f64)\n                        );\n                        let new_line_prefix = format!(\"{}{}: \", line_prefix, file.filename());\n                        let fname = PathBuf::from(file.filename());\n                        let reader = entry.reader();\n                        tokio::pin!(reader);\n                        // SAFETY: this should be solvable without unsafe but idk how :(\n                        // the issue is that ZipEntryReader borrows from ZipFileReader, but we need to yield it here into the stream\n                        // but then it can't borrow from the ZipFile\n                        let reader2 = unsafe {\n                            std::mem::transmute::<\n                                Pin<&mut (dyn AsyncRead + Send)>,\n                                Pin<&'static mut (dyn AsyncRead + Send)>,\n                            >(reader)\n                        };\n                        yield Ok(AdaptInfo {\n                            filepath_hint: fname,\n                            is_real_file: false,\n                            inp: Box::pin(reader2),\n                            line_prefix: new_line_prefix,\n                            archive_recursion_depth: archive_recursion_depth + 1,\n                            postprocess,\n                            config: config.clone(),\n                        });\n                        zip = entry.done().await.context(\"going to next file in zip but entry was not read fully\")?;\n\n                }\n                trace!(\"zip over\");\n            };\n\n            Ok(Box::pin(s))\n        }\n    }\n}\n\n/*struct ZipAdaptIter {\n    inp: AdaptInfo,\n}\nimpl<'a> AdaptedFilesIter for ZipAdaptIter<'a> {\n    fn next<'b>(&'b mut self) -> Option<AdaptInfo<'b>> {\n        let line_prefix = &self.inp.line_prefix;\n        let filepath_hint = &self.inp.filepath_hint;\n        let archive_recursion_depth = &self.inp.archive_recursion_depth;\n        let postprocess = self.inp.postprocess;\n        ::zip::read::read_zipfile_from_stream(&mut self.inp.inp)\n            .unwrap()\n            .and_then(|file| {\n                if file.is_dir() {\n                    return None;\n                }\n                debug!(\n                    \"{}{}|{}: {} ({} packed)\",\n                    line_prefix,\n                    filepath_hint.to_string_lossy(),\n                    file.name(),\n                    print_bytes(file.size() as f64),\n                    print_bytes(file.compressed_size() as f64)\n                );\n                let line_prefix = format!(\"{}{}: \", line_prefix, file.name());\n                Some(AdaptInfo {\n                    filepath_hint: PathBuf::from(file.name()),\n                    is_real_file: false,\n                    inp: Box::new(file),\n                    line_prefix,\n                    archive_recursion_depth: archive_recursion_depth + 1,\n                    postprocess,\n                    config: RgaConfig::default(), //config.clone(),\n                })\n            })\n    }\n}*/\n\n#[cfg(test)]\nmod test {\n    use async_zip::{Compression, ZipEntryBuilder, write::ZipFileWriter};\n\n    use super::*;\n    use crate::{preproc::loop_adapt, test_utils::*};\n    use pretty_assertions::assert_eq;\n\n    #[async_recursion::async_recursion]\n    async fn create_zip(fname: &str, content: &str, add_inner: bool) -> Result<Vec<u8>> {\n        let v = Vec::new();\n        let mut cursor = std::io::Cursor::new(v);\n        let mut zip = ZipFileWriter::new(&mut cursor);\n\n        let options = ZipEntryBuilder::new(fname.to_string(), Compression::Stored);\n        zip.write_entry_whole(options, content.as_bytes()).await?;\n\n        if add_inner {\n            let opts = ZipEntryBuilder::new(\"inner.zip\".to_string(), Compression::Stored);\n            zip.write_entry_whole(\n                opts,\n                &create_zip(\"inner.txt\", \"inner text file\", false).await?,\n            )\n            .await?;\n        }\n        zip.close().await?;\n        Ok(cursor.into_inner())\n    }\n\n    #[tokio::test]\n    async fn only_seek_zip_fs() -> Result<()> {\n        let zip = test_data_dir().join(\"only-seek-zip.zip\");\n        let (a, d) = simple_fs_adapt_info(&zip).await?;\n        let _v = adapted_to_vec(loop_adapt(&ZipAdapter::new(), d, a).await?).await?;\n        // assert_eq!(String::from_utf8(v)?, \"\");\n\n        Ok(())\n    }\n    /*#[tokio::test]\n    async fn only_seek_zip_mem() -> Result<()> {\n        let zip = test_data_dir().join(\"only-seek-zip.zip\");\n        let (a, d) = simple_adapt_info(&zip, Box::pin(File::open(&zip).await?));\n        let v = adapted_to_vec(loop_adapt(&ZipAdapter::new(), d, a)?).await?;\n        // assert_eq!(String::from_utf8(v)?, \"\");\n\n        Ok(())\n    }*/\n    #[tokio::test]\n    async fn recurse() -> Result<()> {\n        let zipfile = create_zip(\"outer.txt\", \"outer text file\", true).await?;\n        let adapter = ZipAdapter::new();\n\n        let (a, d) = simple_adapt_info(\n            &PathBuf::from(\"outer.zip\"),\n            Box::pin(std::io::Cursor::new(zipfile)),\n        );\n        let buf = adapted_to_vec(loop_adapt(&adapter, d, a).await?).await?;\n\n        assert_eq!(\n            String::from_utf8(buf)?,\n            \"PREFIX:outer.txt: outer text file\\nPREFIX:inner.zip: inner.txt: inner text file\\n\",\n        );\n\n        Ok(())\n    }\n}\n"
  },
  {
    "path": "src/adapters.rs",
    "content": "pub mod custom;\npub mod decompress;\npub mod ffmpeg;\npub mod mbox;\npub mod postproc;\nuse std::sync::Arc;\npub mod sqlite;\npub mod tar;\npub mod writing;\npub mod zip;\nuse crate::{adapted_iter::AdaptedFilesIterBox, config::RgaConfig, matching::*};\nuse anyhow::{Context, Result, format_err};\nuse async_trait::async_trait;\nuse custom::BUILTIN_SPAWNING_ADAPTERS;\nuse custom::CustomAdapterConfig;\nuse log::*;\nuse tokio::io::AsyncRead;\n\nuse core::fmt::Debug;\nuse std::borrow::Cow;\nuse std::collections::HashMap;\nuse std::iter::Iterator;\nuse std::path::PathBuf;\nuse std::pin::Pin;\n\nuse self::postproc::PostprocPageBreaks;\n\npub type ReadBox = Pin<Box<dyn AsyncRead + Send>>;\npub struct AdapterMeta {\n    /// unique short name of this adapter (a-z0-9 only)\n    pub name: String,\n    /// version identifier. used to key cache entries, change if your output format changes\n    pub version: i32,\n    pub description: String,\n    /// indicates whether this adapter can descend (=call rga_preproc again). if true, the cache key needs to include the list of active adapters\n    pub recurses: bool,\n    /// list of matchers (interpreted as a OR b OR ...)\n    pub fast_matchers: Vec<FastFileMatcher>,\n    /// list of matchers when we have mime type detection active (interpreted as ORed)\n    /// warning: this *overrides* the fast matchers\n    pub slow_matchers: Option<Vec<FileMatcher>>,\n    /// if true, slow_matchers is merged with fast matchers if accurate is enabled\n    /// for example, in sqlite you want this disabled since the db extension can mean other things and the mime type matching is very accurate for sqlite.\n    /// but for tar you want it enabled, since the tar extension is very accurate but the tar mime matcher can have false negatives\n    pub keep_fast_matchers_if_accurate: bool,\n    // if true, adapter is only used when user lists it in `--rga-adapters`\n    pub disabled_by_default: bool,\n}\nimpl AdapterMeta {\n    // todo: this is pretty ugly\n    pub fn get_matchers<'a>(\n        &'a self,\n        slow: bool,\n    ) -> Box<dyn Iterator<Item = Cow<'a, FileMatcher>> + 'a> {\n        match (\n            slow,\n            self.keep_fast_matchers_if_accurate,\n            &self.slow_matchers,\n        ) {\n            (true, false, Some(sm)) => Box::new(sm.iter().map(Cow::Borrowed)),\n            (true, true, Some(sm)) => Box::new(\n                sm.iter().map(Cow::Borrowed).chain(\n                    self.fast_matchers\n                        .iter()\n                        .map(|e| Cow::Owned(FileMatcher::Fast(e.clone()))),\n                ),\n            ),\n            // don't have slow matchers or slow matching disabled\n            (true, _, None) | (false, _, _) => Box::new(\n                self.fast_matchers\n                    .iter()\n                    .map(|e| Cow::Owned(FileMatcher::Fast(e.clone()))),\n            ),\n        }\n    }\n}\n\npub trait GetMetadata {\n    fn metadata(&self) -> &AdapterMeta;\n}\n\n#[async_trait]\npub trait FileAdapter: GetMetadata + Send + Sync {\n    /// adapt a file.\n    ///\n    /// detection_reason is the Matcher that was used to identify this file. Unless --rga-accurate was given, it is always a FastMatcher\n    async fn adapt(\n        &self,\n        a: AdaptInfo,\n        detection_reason: &FileMatcher,\n    ) -> Result<AdaptedFilesIterBox>;\n}\n\npub struct AdaptInfo {\n    /// file path. May not be an actual file on the file system (e.g. in an archive). Used for matching file extensions.\n    pub filepath_hint: PathBuf,\n    /// true if filepath_hint is an actual file on the file system\n    pub is_real_file: bool,\n    /// depth at which this file is in archives. 0 for real filesystem\n    pub archive_recursion_depth: i32,\n    /// stream to read the file from. can be from a file or from some decoder\n    pub inp: ReadBox,\n    /// prefix every output line with this string to better indicate the file's location if it is in some archive\n    pub line_prefix: String,\n    pub postprocess: bool,\n    pub config: RgaConfig,\n}\n\n/// (enabledAdapters, disabledAdapters)\ntype AdaptersTuple = (Vec<Arc<dyn FileAdapter>>, Vec<Arc<dyn FileAdapter>>);\n\npub fn get_all_adapters(custom_adapters: Option<Vec<CustomAdapterConfig>>) -> AdaptersTuple {\n    // order in descending priority\n    let mut adapters: Vec<Arc<dyn FileAdapter>> = vec![];\n    if let Some(custom_adapters) = custom_adapters {\n        for adapter_config in custom_adapters {\n            adapters.push(Arc::new(adapter_config.to_adapter()));\n        }\n    }\n\n    let internal_adapters: Vec<Arc<dyn FileAdapter>> = vec![\n        Arc::new(PostprocPageBreaks::default()),\n        Arc::new(ffmpeg::FFmpegAdapter::new()),\n        Arc::new(zip::ZipAdapter::new()),\n        Arc::new(decompress::DecompressAdapter::new()),\n        Arc::new(mbox::MboxAdapter::new()),\n        Arc::new(tar::TarAdapter::new()),\n        Arc::new(sqlite::SqliteAdapter::new()),\n    ];\n    adapters.extend(\n        BUILTIN_SPAWNING_ADAPTERS\n            .iter()\n            .map(|e| -> Arc<dyn FileAdapter> { Arc::new(e.to_adapter()) }),\n    );\n    adapters.extend(internal_adapters);\n\n    adapters\n        .into_iter()\n        .partition(|e| !e.metadata().disabled_by_default)\n}\n\n/**\n * filter adapters by given names:\n *\n *  - \"\" means use default enabled adapter list\n *  - \"a,b\" means use adapters a,b\n *  - \"-a,b\" means use default list except for a and b\n *  - \"+a,b\" means use default list but also a and b (a,b will be prepended to the list so given higher priority)\n */\npub fn get_adapters_filtered<T: AsRef<str>>(\n    custom_adapters: Option<Vec<CustomAdapterConfig>>,\n    adapter_names: &[T],\n) -> Result<Vec<Arc<dyn FileAdapter>>> {\n    let (def_enabled_adapters, def_disabled_adapters) = get_all_adapters(custom_adapters);\n    let adapters = if !adapter_names.is_empty() {\n        let adapters_map: HashMap<_, _> = def_enabled_adapters\n            .iter()\n            .chain(def_disabled_adapters.iter())\n            .map(|e| (e.metadata().name.clone(), e.clone()))\n            .collect();\n        let mut adapters = vec![];\n        let mut subtractive = false;\n        let mut additive = false;\n        for (i, name) in adapter_names.iter().enumerate() {\n            let mut name = name.as_ref();\n            if i == 0 && (name.starts_with('-')) {\n                subtractive = true;\n                name = &name[1..];\n                adapters = def_enabled_adapters.clone();\n            } else if i == 0 && (name.starts_with('+')) {\n                name = &name[1..];\n                adapters = def_enabled_adapters.clone();\n                additive = true;\n            }\n            if subtractive {\n                let inx = adapters\n                    .iter()\n                    .position(|a| a.metadata().name == name)\n                    .ok_or_else(|| format_err!(\"Could not remove adapter {}: Not in list\", name))?;\n                adapters.remove(inx);\n            } else {\n                let adapter = adapters_map\n                    .get(name)\n                    .ok_or_else(|| {\n                        format_err!(\n                            \"Unknown adapter: \\\"{}\\\". Known adapters: {}\",\n                            name,\n                            adapters_map\n                                .keys()\n                                .map(|e| e.as_ref())\n                                .collect::<Vec<&str>>()\n                                .join(\", \")\n                        )\n                    })?\n                    .clone();\n                if additive {\n                    adapters.insert(0, adapter);\n                } else {\n                    adapters.push(adapter);\n                }\n            }\n        }\n        adapters\n    } else {\n        def_enabled_adapters\n    };\n    debug!(\n        \"Chosen available adapters: {}\",\n        adapters\n            .iter()\n            .map(|a| a.metadata().name.clone())\n            .collect::<Vec<String>>()\n            .join(\",\")\n    );\n    Ok(adapters)\n}\n"
  },
  {
    "path": "src/bin/rga-fzf-open.rs",
    "content": "use anyhow::Context;\n\nuse std::process::Command;\n\n// TODO: add --rg-params=..., --rg-preview-params=... and --fzf-params=... params\n// TODO: remove passthrough_args\nfn main() -> anyhow::Result<()> {\n    env_logger::init();\n    let mut args = std::env::args().skip(1);\n    let query = args.next().context(\"no query\")?;\n    let fname = args.next().context(\"no filename\")?;\n    // let instance_id = std::env::var(\"RGA_FZF_INSTANCE\").unwrap_or(\"unk\".to_string());\n\n    if fname.ends_with(\".pdf\") {\n        use std::io::ErrorKind::*;\n\n        let worked = Command::new(\"evince\")\n            .arg(\"--find\")\n            .arg(&query)\n            .arg(&fname)\n            .spawn()\n            .map_or_else(\n                |err| match err.kind() {\n                    NotFound => Ok(false),\n                    _ => Err(err),\n                },\n                |_| Ok(true),\n            )?;\n        if worked {\n            return Ok(());\n        }\n    }\n    Ok(open::that_detached(&fname)?)\n}\n"
  },
  {
    "path": "src/bin/rga-fzf.rs",
    "content": "use anyhow::Context;\nuse rga::adapters::custom::map_exe_error;\nuse ripgrep_all as rga;\n\nuse std::process::{Command, Stdio};\n\n// TODO: add --rg-params=..., --rg-preview-params=... and --fzf-params=... params\n// TODO: remove passthrough_args\nfn main() -> anyhow::Result<()> {\n    env_logger::init();\n    let mut passthrough_args: Vec<String> = std::env::args().skip(1).collect();\n    let inx = passthrough_args.iter().position(|e| !e.starts_with('-'));\n    let initial_query = if let Some(inx) = inx {\n        passthrough_args.remove(inx)\n    } else {\n        \"\".to_string()\n    };\n\n    let exe = std::env::current_exe().context(\"Could not get executable location\")?;\n    let preproc_exe = exe.with_file_name(\"rga\");\n    let preproc_exe = preproc_exe\n        .to_str()\n        .context(\"rga executable is in non-unicode path\")?;\n    let open_exe = exe.with_file_name(\"rga-fzf-open\");\n    let open_exe = open_exe\n        .to_str()\n        .context(\"rga-fzf-open executable is in non-unicode path\")?;\n\n    let rg_prefix = format!(\"{preproc_exe} --files-with-matches --rga-cache-max-blob-len=10M\");\n\n    let child = Command::new(\"fzf\")\n        .arg(format!(\n            \"--preview={preproc_exe} --pretty --context 5 {{q}} --rga-fzf-path=_{{}}\"\n        ))\n        .arg(\"--preview-window=70%:wrap\")\n        .arg(\"--phony\")\n        .arg(\"--query\")\n        .arg(&initial_query)\n        .arg(\"--print-query\")\n        .arg(format!(\"--bind=change:reload: {rg_prefix} {{q}}\"))\n        .arg(format!(\"--bind=ctrl-m:execute:{open_exe} {{q}} {{}}\"))\n        .env(\n            \"FZF_DEFAULT_COMMAND\",\n            format!(\"{} '{}'\", rg_prefix, &initial_query),\n        )\n        .env(\"RGA_FZF_INSTANCE\", format!(\"{}\", std::process::id())) // may be useful to open stuff in the same tab\n        .stdout(Stdio::piped())\n        .spawn()\n        .map_err(|e| map_exe_error(e, \"fzf\", \"Please make sure you have fzf installed.\"))?;\n\n    let output = child.wait_with_output()?;\n    let mut x = output.stdout.split(|e| e == &b'\\n');\n    let final_query =\n        std::str::from_utf8(x.next().context(\"fzf output empty\")?).context(\"fzf query not utf8\")?;\n    let selected_file = std::str::from_utf8(x.next().context(\"fzf output not two line\")?)\n        .context(\"fzf ofilename not utf8\")?;\n    println!(\"query='{final_query}', file='{selected_file}'\");\n\n    Ok(())\n}\n"
  },
  {
    "path": "src/bin/rga-preproc.rs",
    "content": "use rga::adapters::*;\nuse rga::preproc::*;\nuse rga::print_dur;\nuse ripgrep_all as rga;\n\nuse anyhow::Context;\nuse log::debug;\nuse std::time::Instant;\nuse tokio::fs::File;\n\n#[tokio::main]\nasync fn main() -> anyhow::Result<()> {\n    env_logger::init();\n    let mut arg_arr: Vec<std::ffi::OsString> = std::env::args_os().collect();\n    let last = arg_arr.pop().expect(\"No filename specified\");\n    let config = rga::config::parse_args(arg_arr, true)?;\n    //clap::App::new(\"rga-preproc\").arg(Arg::from_usage())\n    let path = {\n        let filepath = last;\n        std::env::current_dir()?.join(filepath)\n    };\n\n    let i = File::open(&path)\n        .await\n        .context(\"Specified input file not found\")?;\n    let mut o = tokio::io::stdout();\n    let ai = AdaptInfo {\n        inp: Box::pin(i),\n        filepath_hint: path,\n        is_real_file: true,\n        line_prefix: \"\".to_string(),\n        archive_recursion_depth: 0,\n        postprocess: !config.no_prefix_filenames,\n        config,\n    };\n\n    let start = Instant::now();\n    let mut oup = rga_preproc(ai).await.context(\"during preprocessing\")?;\n    debug!(\"finding and starting adapter took {}\", print_dur(start));\n    let res = tokio::io::copy(&mut oup, &mut o).await;\n    if let Err(e) = res {\n        if e.kind() == std::io::ErrorKind::BrokenPipe {\n            // happens if e.g. ripgrep detects binary data in the pipe so it cancels reading\n            debug!(\"output cancelled (broken pipe)\");\n        } else {\n            Err(e).context(\"copying adapter output to stdout\")?;\n        }\n    }\n    debug!(\"running adapter took {} total\", print_dur(start));\n    Ok(())\n}\n"
  },
  {
    "path": "src/bin/rga.rs",
    "content": "use anyhow::Result;\nuse rga::adapters::custom::map_exe_error;\nuse rga::adapters::*;\nuse rga::config::{RgaConfig, split_args};\nuse rga::matching::*;\nuse rga::print_dur;\nuse ripgrep_all as rga;\nuse structopt::StructOpt;\n\nuse schemars::schema_for;\nuse std::process::Command;\nuse std::time::Instant;\n\nfn list_adapters(args: RgaConfig) -> Result<()> {\n    let (enabled_adapters, disabled_adapters) = get_all_adapters(args.custom_adapters);\n\n    println!(\"Adapters:\\n\");\n    let print = |adapter: std::sync::Arc<dyn FileAdapter>| {\n        let meta = adapter.metadata();\n        let matchers = meta\n            .fast_matchers\n            .iter()\n            .map(|m| match m {\n                FastFileMatcher::FileExtension(ext) => format!(\".{ext}\"),\n            })\n            .collect::<Vec<_>>()\n            .join(\", \");\n        let slow_matchers = meta\n            .slow_matchers\n            .as_ref()\n            .unwrap_or(&vec![])\n            .iter()\n            .filter_map(|m| match m {\n                FileMatcher::MimeType(x) => Some(x.to_string()),\n                FileMatcher::Fast(_) => None,\n            })\n            .collect::<Vec<_>>()\n            .join(\", \");\n        print!(\n            \" - **{name}**\\n     {desc}  \\n     Extensions: {matchers}  \\n     Mime Types: {mime}  \\n\",\n            name = meta.name,\n            desc = meta.description.replace('\\n', \"\\n     \"),\n            matchers = matchers,\n            mime = slow_matchers,\n        );\n        println!();\n    };\n    for adapter in enabled_adapters {\n        print(adapter)\n    }\n    println!(\n        \"The following adapters are disabled by default, and can be enabled using '--rga-adapters=+foo,bar':\\n\"\n    );\n    for adapter in disabled_adapters {\n        print(adapter)\n    }\n    Ok(())\n}\nfn main() -> anyhow::Result<()> {\n    // set debugging as early as possible\n    if std::env::args().any(|e| e == \"--debug\") {\n        // TODO: Audit that the environment access only happens in single-threaded code.\n        unsafe { std::env::set_var(\"RUST_LOG\", \"debug\") };\n    }\n\n    env_logger::init();\n\n    let (config, mut passthrough_args) = split_args(false)?;\n\n    if config.print_config_schema {\n        println!(\"{}\", serde_json::to_string_pretty(&schema_for!(RgaConfig))?);\n        return Ok(());\n    }\n    if config.list_adapters {\n        return list_adapters(config);\n    }\n    if let Some(path) = config.fzf_path {\n        if path == \"_\" {\n            // fzf found no result, ignore everything and return\n            println!(\"[no file found]\");\n            return Ok(());\n        }\n        passthrough_args.push(std::ffi::OsString::from(&path[1..]));\n    }\n\n    if passthrough_args.is_empty() {\n        // rg would show help. Show own help instead.\n        RgaConfig::clap().print_help()?;\n        println!();\n        return Ok(());\n    }\n\n    let adapters = get_adapters_filtered(config.custom_adapters.clone(), &config.adapters)?;\n\n    let pre_glob = if !config.accurate {\n        let extensions = adapters\n            .iter()\n            .flat_map(|a| &a.metadata().fast_matchers)\n            .flat_map(|m| match m {\n                FastFileMatcher::FileExtension(ext) => vec![ext.clone(), ext.to_ascii_uppercase()],\n            })\n            .collect::<Vec<_>>()\n            .join(\",\");\n        format!(\"*.{{{extensions}}}\")\n    } else {\n        \"*\".to_owned()\n    };\n\n    add_exe_to_path()?;\n\n    let rg_args = vec![\n        \"--no-line-number\",\n        // smart case by default because within weird files\n        // we probably can't really trust casing anyways\n        \"--smart-case\",\n    ];\n\n    let exe = std::env::current_exe().expect(\"Could not get executable location\");\n    let preproc_exe = exe.with_file_name(\"rga-preproc\");\n\n    let before = Instant::now();\n    let mut cmd = Command::new(\"rg\");\n    cmd.args(rg_args)\n        .arg(\"--pre\")\n        .arg(preproc_exe)\n        .arg(\"--pre-glob\")\n        .arg(pre_glob)\n        .args(passthrough_args);\n    log::debug!(\"rg command to run: {:?}\", cmd);\n    let mut child = cmd\n        .spawn()\n        .map_err(|e| map_exe_error(e, \"rg\", \"Please make sure you have ripgrep installed.\"))?;\n\n    let result = child.wait()?;\n\n    log::debug!(\"running rg took {}\", print_dur(before));\n    if !result.success() {\n        std::process::exit(result.code().unwrap_or(1));\n    }\n    Ok(())\n}\n\n/// add the directory that contains `rga` to PATH, so rga-preproc can find pandoc etc (if we are on Windows where we include dependent binaries)\nfn add_exe_to_path() -> Result<()> {\n    use std::env;\n    let mut exe = env::current_exe().expect(\"Could not get executable location\");\n    // let preproc_exe = exe.with_file_name(\"rga-preproc\");\n    exe.pop(); // dirname\n\n    let path = env::var_os(\"PATH\").unwrap_or_default();\n    let paths = env::split_paths(&path).collect::<Vec<_>>();\n    // prepend: prefer bundled versions to system-installed versions of binaries\n    // solves https://github.com/phiresky/ripgrep-all/issues/32\n    // may be somewhat of a security issue if rga binary is in installed in unprivileged locations\n    let paths = [&[exe.to_owned(), exe.join(\"lib\")], &paths[..]].concat();\n    let new_path = env::join_paths(paths)?;\n    // TODO: Audit that the environment access only happens in single-threaded code.\n    unsafe { env::set_var(\"PATH\", new_path) };\n    Ok(())\n}\n"
  },
  {
    "path": "src/caching_writer.rs",
    "content": "use std::{future::Future, pin::Pin};\n\nuse anyhow::{Context, Result};\nuse async_compression::tokio::write::ZstdEncoder;\nuse async_stream::stream;\n\nuse crate::to_io_err;\nuse log::*;\nuse tokio::io::{AsyncRead, AsyncWriteExt};\nuse tokio_stream::StreamExt;\nuse tokio_util::io::{ReaderStream, StreamReader};\n\ntype FinishHandler =\n    dyn FnOnce((u64, Option<Vec<u8>>)) -> Pin<Box<dyn Future<Output = Result<()>> + Send>> + Send;\n/**\n * wrap a AsyncRead so that it is passthrough,\n * but also the written data is compressed and written into a buffer,\n * unless more than max_cache_size bytes is written, then the cache is dropped and it is pure passthrough.\n */\npub fn async_read_and_write_to_cache<'a>(\n    inp: impl AsyncRead + Send + 'a,\n    max_cache_size: usize,\n    compression_level: i32,\n    on_finish: Box<FinishHandler>,\n) -> Result<Pin<Box<dyn AsyncRead + Send + 'a>>> {\n    let inp = Box::pin(inp);\n    let mut zstd_writer = Some(ZstdEncoder::with_quality(\n        Vec::new(),\n        async_compression::Level::Precise(compression_level),\n    ));\n    let mut bytes_written = 0;\n\n    let s = stream! {\n        let mut stream = ReaderStream::new(inp);\n        while let Some(bytes) = stream.next().await {\n            trace!(\"read bytes: {:?}\", bytes);\n            if let (Ok(bytes), Some(writer)) = (&bytes, zstd_writer.as_mut()) {\n                writer.write_all(bytes).await?;\n                bytes_written += bytes.len() as u64;\n                let compressed_len = writer.get_ref().len();\n                trace!(\"wrote {} to zstd, len now {}\", bytes.len(), compressed_len);\n                if compressed_len > max_cache_size {\n                    debug!(\"cache longer than max, dropping\");\n                    //writer.finish();\n                    zstd_writer.take();\n                }\n            }\n            yield bytes;\n        }\n        trace!(\"eof\");\n        // EOF, call on_finish\n        let finish = {\n            match zstd_writer.take() { Some(mut writer) => {\n                writer.shutdown().await?;\n                let res = writer.into_inner();\n                trace!(\"EOF\");\n                if res.len() <= max_cache_size {\n                    trace!(\"writing {} bytes to cache\", res.len());\n                    (bytes_written, Some(res))\n                } else {\n                    trace!(\"cache longer than max, dropping\");\n                    (bytes_written, None)\n                }\n            } _ => {\n                (bytes_written, None)\n            }}\n        };\n\n        // EOF, finish!\n        on_finish(finish).await.context(\"write_to_cache on_finish\")\n            .map_err(to_io_err)?;\n\n    };\n\n    Ok(Box::pin(StreamReader::new(s)))\n}\n"
  },
  {
    "path": "src/config.rs",
    "content": "use crate::{adapters::custom::CustomAdapterConfig, project_dirs};\nuse anyhow::{Context, Result};\nuse derive_more::FromStr;\nuse log::*;\nuse schemars::JsonSchema;\nuse serde::{Deserialize, Serialize};\nuse std::ffi::OsString;\nuse std::io::Read;\nuse std::{fs::File, io::Write, iter::IntoIterator, path::PathBuf, str::FromStr};\nuse structopt::StructOpt;\n\nfn is_default<T: Default + PartialEq>(t: &T) -> bool {\n    t == &T::default()\n}\n#[derive(JsonSchema, Debug, Serialize, Deserialize, Copy, Clone, PartialEq, FromStr)]\npub struct CacheCompressionLevel(pub i32);\n\nimpl std::fmt::Display for CacheCompressionLevel {\n    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {\n        write!(f, \"{}\", self.0)\n    }\n}\nimpl Default for CacheCompressionLevel {\n    fn default() -> Self {\n        Self(12)\n    }\n}\n#[derive(JsonSchema, Debug, Serialize, Deserialize, Copy, Clone, PartialEq, FromStr)]\npub struct MaxArchiveRecursion(pub i32);\n\nimpl std::fmt::Display for MaxArchiveRecursion {\n    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {\n        write!(f, \"{}\", self.0)\n    }\n}\nimpl Default for MaxArchiveRecursion {\n    fn default() -> Self {\n        Self(5)\n    }\n}\n\n#[derive(JsonSchema, Debug, Serialize, Deserialize, Clone, PartialEq, FromStr)]\npub struct CachePath(pub String);\n\nimpl std::fmt::Display for CachePath {\n    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {\n        write!(f, \"{}\", self.0)\n    }\n}\nimpl Default for CachePath {\n    fn default() -> Self {\n        let pd = project_dirs().expect(\"could not get cache path\");\n        let app_cache = pd.cache_dir();\n        Self(app_cache.to_str().expect(\"cache path not utf8\").to_owned())\n    }\n}\n\n#[derive(JsonSchema, Debug, Serialize, Deserialize, Copy, Clone, PartialEq, Eq)]\npub struct CacheMaxBlobLen(pub usize);\n\nimpl std::fmt::Display for CacheMaxBlobLen {\n    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {\n        write!(f, \"{}\", self.0)\n    }\n}\nimpl Default for CacheMaxBlobLen {\n    fn default() -> Self {\n        Self(2000000)\n    }\n}\n\nimpl FromStr for CacheMaxBlobLen {\n    type Err = anyhow::Error;\n    fn from_str(s: &str) -> Result<Self, Self::Err> {\n        let suffix = s.chars().last();\n        if let Some(suffix) = suffix {\n            Ok(Self(match suffix {\n                'k' | 'M' | 'G' => usize::from_str(s.trim_end_matches(suffix))\n                    .with_context(|| \"Could not parse int\".to_string())\n                    .map(|e| {\n                        e * match suffix {\n                            'k' => 1000,\n                            'M' => 1_000_000,\n                            'G' => 1_000_000_000,\n                            _ => panic!(\"impossible\"),\n                        }\n                    }),\n                _ => usize::from_str(s).with_context(|| \"Could not parse int\".to_string()),\n            }?))\n        } else {\n            Err(anyhow::format_err!(\"empty byte input\"))\n        }\n    }\n}\n\n/// # rga configuration\n///\n/// This is kind of a \"polyglot\" struct serving multiple purposes:\n///\n/// 1. Declare the command line arguments using structopt+clap\n/// 1. Provide information for manpage / readme generation.\n/// 1. Describe the config file format (output as JSON schema via schemars).\n#[derive(StructOpt, Debug, Deserialize, Serialize, JsonSchema, Default, Clone)]\n#[structopt(\n    name = \"ripgrep-all\",\n    rename_all = \"kebab-case\",\n    about = env!(\"CARGO_PKG_DESCRIPTION\"),\n    author = env!(\"CARGO_PKG_HOMEPAGE\"),\n    long_about=\"rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.\",\n    // TODO: long_about does not seem to work to only show this on short help\n    after_help = \"-h shows a concise overview, --help shows more detail and advanced options.\\n\\nAll other options not shown here are passed directly to rg, especially [PATTERN] and [PATH ...]\",\n    usage = \"rga [RGA OPTIONS] [RG OPTIONS] PATTERN [PATH ...]\"\n)]\npub struct RgaConfig {\n    /// Use more accurate but slower matching by mime type.\n    ///\n    /// By default, rga will match files using file extensions.\n    /// Some programs, such as sqlite3, don't care about the file extension at all, so users sometimes use any or no extension at all.\n    /// With this flag, rga will try to detect the mime type of input files using the magic bytes (similar to the `file` utility), and use that to choose the adapter.\n    /// Detection is only done on the first 8KiB of the file, since we can't always seek on the input (in archives).\n    #[serde(default, skip_serializing_if = \"is_default\")]\n    #[structopt(long = \"--rga-accurate\")]\n    pub accurate: bool,\n\n    /// Change which adapters to use and in which priority order (descending).\n    ///\n    /// - \"foo,bar\" means use only adapters foo and bar.\n    /// - \"-bar,baz\" means use all default adapters except for bar and baz.\n    /// - \"+bar,baz\" means use all default adapters and also bar and baz.\n    #[serde(default, skip_serializing_if = \"is_default\")]\n    #[structopt(\n        long = \"--rga-adapters\",\n        require_equals = true,\n        require_delimiter = true\n    )]\n    pub adapters: Vec<String>,\n\n    #[serde(default, skip_serializing_if = \"is_default\")]\n    #[structopt(flatten)]\n    pub cache: CacheConfig,\n\n    /// Maximum depth of nested archives to recurse into.\n    ///\n    /// When searching in archives, rga will recurse into archives inside archives.\n    /// This option limits the depth.\n    #[serde(default, skip_serializing_if = \"is_default\")]\n    #[structopt(\n        default_value,\n        long = \"--rga-max-archive-recursion\",\n        require_equals = true,\n        hidden_short_help = true\n    )]\n    pub max_archive_recursion: MaxArchiveRecursion,\n\n    /// Don't prefix lines of files within archive with the path inside the archive.\n    ///\n    /// Inside archives, by default rga prefixes the content of each file with the file path within the archive.\n    /// This is usually useful, but can cause problems because then the inner path is also searched for the pattern.\n    #[serde(default, skip_serializing_if = \"is_default\")]\n    #[structopt(long = \"--rga-no-prefix-filenames\")]\n    pub no_prefix_filenames: bool,\n\n    #[serde(default, skip_serializing_if = \"is_default\")]\n    #[structopt(skip)] // config file only\n    pub custom_adapters: Option<Vec<CustomAdapterConfig>>,\n\n    #[serde(skip)]\n    #[structopt(long = \"--rga-config-file\", require_equals = true)]\n    pub config_file_path: Option<String>,\n\n    /// Same as passing path directly, except if argument is empty.\n    ///\n    /// Kinda hacky, but if no file is found, `fzf` calls `rga` with empty string as path, which causes \"No such file or directory from rg\".\n    /// So filter those cases and return specially.\n    #[serde(skip)] // CLI only\n    #[structopt(long = \"--rga-fzf-path\", require_equals = true, hidden = true)]\n    pub fzf_path: Option<String>,\n\n    #[serde(skip)] // CLI only\n    #[structopt(long = \"--rga-list-adapters\", help = \"List all known adapters\")]\n    pub list_adapters: bool,\n\n    #[serde(skip)] // CLI only\n    #[structopt(\n        long = \"--rga-print-config-schema\",\n        help = \"Print the JSON Schema of the configuration file\"\n    )]\n    pub print_config_schema: bool,\n\n    #[serde(skip)] // CLI only\n    #[structopt(long, help = \"Show help for ripgrep itself\")]\n    pub rg_help: bool,\n\n    #[serde(skip)] // CLI only\n    #[structopt(long, help = \"Show version of ripgrep itself\")]\n    pub rg_version: bool,\n}\n\n#[derive(StructOpt, Debug, Deserialize, Serialize, JsonSchema, Default, Clone, PartialEq)]\npub struct CacheConfig {\n    /// Disable caching of results.\n    ///\n    /// By default, rga caches the extracted text, if it is small enough, to a database.\n    /// This way, repeated searches on the same set of files will be much faster.\n    /// The location of the DB varies by platform:\n    /// - `${XDG_CACHE_DIR-~/.cache}/ripgrep-all` on Linux\n    /// - `~/Library/Caches/ripgrep-all` on macOS\n    /// - `C:\\Users\\username\\AppData\\Local\\ripgrep-all` on Windows\n    ///\n    /// If you pass this flag, all caching will be disabled.\n    #[serde(default, skip_serializing_if = \"is_default\")]\n    #[structopt(long = \"--rga-no-cache\")]\n    pub disabled: bool,\n\n    /// Max compressed size to cache.\n    ///\n    /// Longest byte length (after compression) to store in cache.\n    /// Longer adapter outputs will not be cached and recomputed every time.\n    ///\n    /// Allowed suffixes on command line: k M G\n    #[serde(default, skip_serializing_if = \"is_default\")]\n    #[structopt(\n        default_value,\n        long = \"--rga-cache-max-blob-len\",\n        hidden_short_help = true,\n        require_equals = true,\n        // parse(try_from_str = parse_readable_bytes_str)\n    )]\n    pub max_blob_len: CacheMaxBlobLen,\n\n    /// ZSTD compression level to apply to adapter outputs before storing in cache DB.\n    ///\n    /// Ranges from 1 - 22.\n    #[serde(default, skip_serializing_if = \"is_default\")]\n    #[structopt(\n        default_value,\n        long = \"--rga-cache-compression-level\",\n        hidden_short_help = true,\n        require_equals = true,\n        help = \"\"\n    )]\n    pub compression_level: CacheCompressionLevel,\n\n    /// Path to store cache DB.\n    #[serde(default, skip_serializing_if = \"is_default\")]\n    #[structopt(\n        default_value,\n        long = \"--rga-cache-path\",\n        hidden_short_help = true,\n        require_equals = true\n    )]\n    pub path: CachePath,\n}\n\nstatic RGA_CONFIG: &str = \"RGA_CONFIG\";\n\nuse serde_json::Value;\nfn json_merge(a: &mut Value, b: &Value) {\n    match (a, b) {\n        (&mut Value::Object(ref mut a), Value::Object(b)) => {\n            for (k, v) in b {\n                json_merge(a.entry(k.clone()).or_insert(Value::Null), v);\n            }\n        }\n        (a, b) => {\n            *a = b.clone();\n        }\n    }\n}\n\nfn read_config_file(path_override: Option<String>) -> Result<(String, Value)> {\n    let proj = project_dirs()?;\n    let config_dir = proj.config_dir();\n    let config_filename = path_override\n        .as_ref()\n        .map(PathBuf::from)\n        .unwrap_or_else(|| config_dir.join(\"config.jsonc\"));\n    let config_filename_str = config_filename.to_string_lossy().into_owned();\n    if config_filename.exists() {\n        let config_file_contents = {\n            let raw = std::fs::read_to_string(config_filename).with_context(|| {\n                format!(\"Could not read config file json {config_filename_str}\")\n            })?;\n            let mut s = String::new();\n            json_comments::StripComments::new(raw.as_bytes())\n                .read_to_string(&mut s)\n                .context(\"strip comments\")?;\n            s\n        };\n        {\n            // just for error messages, actual deserialization happens after merging with cmd args\n            serde_json::from_str::<RgaConfig>(&config_file_contents).with_context(|| {\n                format!(\"Error in config file {config_filename_str}: {config_file_contents}\")\n            })?;\n        }\n        let config_json: serde_json::Value =\n            serde_json::from_str(&config_file_contents).context(\"Could not parse config json\")?;\n        Ok((config_filename_str, config_json))\n    } else if let Some(p) = path_override.as_ref() {\n        Err(anyhow::anyhow!(\"Config file not found: {}\", p))?\n    } else {\n        // write default config\n        std::fs::create_dir_all(config_dir)?;\n        let mut schemafile = File::create(config_dir.join(\"config.v1.schema.json\"))?;\n\n        schemafile.write_all(\n            serde_json::to_string_pretty(&schemars::schema_for!(RgaConfig))?.as_bytes(),\n        )?;\n\n        let mut configfile = File::create(config_filename)?;\n        configfile.write_all(include_str!(\"../doc/config.default.jsonc\").as_bytes())?;\n        Ok((\n            config_filename_str,\n            serde_json::Value::Object(Default::default()),\n        ))\n    }\n}\nfn read_config_env() -> Result<Value> {\n    let val = std::env::var(RGA_CONFIG).ok();\n    if let Some(val) = val {\n        serde_json::from_str(&val).context(\"could not parse config from env RGA_CONFIG\")\n    } else {\n        serde_json::to_value(RgaConfig::default()).context(\"could not create default config\")\n    }\n}\npub fn parse_args<I>(args: I, is_rga_preproc: bool) -> Result<RgaConfig>\nwhere\n    I: IntoIterator,\n    I::Item: Into<OsString> + Clone,\n{\n    // TODO: don't read config file in rga-preproc for performance (called for every file)\n\n    let arg_matches: RgaConfig = RgaConfig::from_iter(args);\n    let args_config = serde_json::to_value(&arg_matches)?;\n\n    let merged_config = {\n        if is_rga_preproc {\n            // only read from env and args\n            let mut merged_config = read_config_env()?;\n            json_merge(&mut merged_config, &args_config);\n            log::debug!(\"Config: {}\", serde_json::to_string(&merged_config)?);\n            merged_config\n        } else {\n            // read from config file, env and args\n            let (config_filename, config_file_config) =\n                read_config_file(arg_matches.config_file_path)?;\n            let env_var_config = read_config_env()?;\n            let mut merged_config = config_file_config.clone();\n            json_merge(&mut merged_config, &env_var_config);\n            json_merge(&mut merged_config, &args_config);\n            log::debug!(\n                \"Configs:\\n{}: {}\\n{}: {}\\nArgs: {}\\nMerged: {}\",\n                config_filename,\n                serde_json::to_string_pretty(&config_file_config)?,\n                RGA_CONFIG,\n                serde_json::to_string_pretty(&env_var_config)?,\n                serde_json::to_string_pretty(&args_config)?,\n                serde_json::to_string_pretty(&merged_config)?\n            );\n            // pass to child processes\n            // TODO: Audit that the environment access only happens in single-threaded code.\n            unsafe { std::env::set_var(RGA_CONFIG, merged_config.to_string()) };\n            merged_config\n        }\n    };\n\n    let mut res: RgaConfig = serde_json::from_value(merged_config.clone())\n        .map_err(|e| {\n            println!(\"{e:?}\");\n            e\n        })\n        .with_context(|| {\n            format!(\n                \"Error parsing merged config: {}\",\n                serde_json::to_string_pretty(&merged_config).expect(\"no tostring\")\n            )\n        })?;\n    {\n        // readd values with [serde(skip)]\n        res.fzf_path = arg_matches.fzf_path;\n        res.list_adapters = arg_matches.list_adapters;\n        res.print_config_schema = arg_matches.print_config_schema;\n        res.rg_help = arg_matches.rg_help;\n        res.rg_version = arg_matches.rg_version;\n    }\n    Ok(res)\n}\n\n/// Split arguments into the ones we care about and the ones rg cares about\npub fn split_args(is_rga_preproc: bool) -> Result<(RgaConfig, Vec<OsString>)> {\n    let mut app = RgaConfig::clap();\n\n    app.p.create_help_and_version();\n    let mut firstarg = true;\n    // debug!(\"{:#?}\", app.p.flags);\n    let (our_args, mut passthrough_args): (Vec<OsString>, Vec<OsString>) = std::env::args_os()\n        .partition(|os_arg| {\n            if firstarg {\n                // hacky, but .enumerate() would be ugly because partition is too simplistic\n                firstarg = false;\n                return true;\n            }\n            if let Some(arg) = os_arg.to_str() {\n                arg.starts_with(\"--rga-\")\n                    || arg.starts_with(\"--rg-\")\n                    || arg == \"--help\"\n                    || arg == \"-h\"\n                    || arg == \"--version\"\n                    || arg == \"-V\"\n            } else {\n                // args that are not unicode can only be filenames, pass them to rg\n                false\n            }\n        });\n    debug!(\"rga (our) args: {:?}\", our_args);\n    let matches = parse_args(our_args, is_rga_preproc).context(\"Could not parse config\")?;\n    if matches.rg_help {\n        passthrough_args.insert(0, \"--help\".into());\n    }\n    if matches.rg_version {\n        passthrough_args.insert(0, \"--version\".into());\n    }\n    debug!(\"rga (passthrough) args: {:?}\", passthrough_args);\n    Ok((matches, passthrough_args))\n}\n"
  },
  {
    "path": "src/expand.rs",
    "content": "use std::borrow::Cow;\n\nuse anyhow::Result;\n\n// from https://github.com/phiresky/timetrackrs/blob/1c3df09ba2c1fda6065f2927045bd28dea0738d3/src/expand.rs\n\npub fn find_byte(needle: u8, haystack: &[u8]) -> Option<usize> {\n    #[cfg(not(feature = \"perf-literal\"))]\n    fn imp(needle: u8, haystack: &[u8]) -> Option<usize> {\n        haystack.iter().position(|&b| b == needle)\n    }\n\n    #[cfg(feature = \"perf-literal\")]\n    fn imp(needle: u8, haystack: &[u8]) -> Option<usize> {\n        use memchr::memchr;\n        memchr(needle, haystack)\n    }\n\n    imp(needle, haystack)\n}\n\npub fn expand_str_ez<'a, F>(replacement: &'a str, lambda: F) -> Result<String>\nwhere\n    F: Fn(&str) -> Result<Cow<'a, str>>,\n{\n    let mut dst = String::new();\n    expand_str_lambda(lambda, replacement, &mut dst)?;\n    Ok(dst)\n}\n\npub fn expand_str_lambda<'a, F>(cap: F, replacement: &'a str, dst: &mut String) -> Result<()>\nwhere\n    F: Fn(&str) -> Result<Cow<'a, str>>,\n{\n    let mut replacement = replacement;\n    while !replacement.is_empty() {\n        match find_byte(b'$', replacement.as_bytes()) {\n            None => break,\n            Some(i) => {\n                dst.push_str(&replacement[..i]);\n                replacement = &replacement[i..];\n            }\n        }\n        if replacement.as_bytes().get(1).is_some_and(|&b| b == b'$') {\n            dst.push('$');\n            replacement = &replacement[2..];\n            continue;\n        }\n        debug_assert!(!replacement.is_empty());\n        let cap_ref = match find_cap_ref(replacement.as_bytes()) {\n            Some(cap_ref) => cap_ref,\n            None => {\n                dst.push('$');\n                replacement = &replacement[1..];\n                continue;\n            }\n        };\n        replacement = &replacement[cap_ref.end..];\n        dst.push_str(cap(cap_ref.cap)?.as_ref());\n    }\n    dst.push_str(replacement);\n    Ok(())\n}\n\n/// `CaptureRef` represents a reference to a capture group inside some text.\n/// The reference is either a capture group name or a number.\n///\n/// It is also tagged with the position in the text following the\n/// capture reference.\n#[derive(Clone, Copy, Debug, Eq, PartialEq)]\nstruct CaptureRef<'a> {\n    cap: &'a str,\n    end: usize,\n}\n\n/// Parses a possible reference to a capture group name in the given text,\n/// starting at the beginning of `replacement`.\n///\n/// If no such valid reference could be found, None is returned.\nfn find_cap_ref(replacement: &[u8]) -> Option<CaptureRef<'_>> {\n    let mut i = 0;\n    let rep: &[u8] = replacement;\n    if rep.len() <= 1 || rep[0] != b'$' {\n        return None;\n    }\n    i += 1;\n    if rep[i] == b'{' {\n        return find_cap_ref_braced(rep, i + 1);\n    }\n    let mut cap_end = i;\n    while rep.get(cap_end).is_some_and(is_valid_cap_letter) {\n        cap_end += 1;\n    }\n    if cap_end == i {\n        return None;\n    }\n    // We just verified that the range 0..cap_end is valid ASCII, so it must\n    // therefore be valid UTF-8. If we really cared, we could avoid this UTF-8\n    // check with either unsafe or by parsing the number straight from &[u8].\n    let cap = std::str::from_utf8(&rep[i..cap_end]).expect(\"valid UTF-8 capture name\");\n    Some(CaptureRef { cap, end: cap_end })\n}\n\nfn find_cap_ref_braced(rep: &[u8], mut i: usize) -> Option<CaptureRef<'_>> {\n    let start = i;\n    while rep.get(i).is_some_and(|&b| b != b'}') {\n        i += 1;\n    }\n    if rep.get(i).is_none_or(|&b| b != b'}') {\n        return None;\n    }\n    // When looking at braced names, we don't put any restrictions on the name,\n    // so it's possible it could be invalid UTF-8. But a capture group name\n    // can never be invalid UTF-8, so if we have invalid UTF-8, then we can\n    // safely return None.\n    let cap = match std::str::from_utf8(&rep[start..i]) {\n        Err(_) => return None,\n        Ok(cap) => cap,\n    };\n    Some(CaptureRef { cap, end: i + 1 })\n}\n\n/// Returns true if and only if the given byte is allowed in a capture name.\nfn is_valid_cap_letter(b: &u8) -> bool {\n    matches!(b, b'0'..=b'9' | b'a'..=b'z' | b'A'..=b'Z' | b'_')\n}\n"
  },
  {
    "path": "src/lib.rs",
    "content": "#![warn(clippy::all)]\n\npub mod adapted_iter;\npub mod adapters;\nmod caching_writer;\npub mod config;\npub mod expand;\npub mod matching;\npub mod preproc;\npub mod preproc_cache;\npub mod recurse;\n#[cfg(test)]\npub mod test_utils;\nuse anyhow::Context;\nuse anyhow::Result;\nuse async_stream::stream;\nuse directories_next::ProjectDirs;\nuse std::time::Instant;\nuse tokio::io::AsyncRead;\nuse tokio::task::JoinHandle;\nuse tokio_util::io::StreamReader;\n\npub fn project_dirs() -> Result<ProjectDirs> {\n    directories_next::ProjectDirs::from(\"\", \"\", \"ripgrep-all\")\n        .context(\"no home directory found! :(\")\n}\n\n// no \"significant digits\" format specifier in rust??\n// https://stackoverflow.com/questions/60497397/how-do-you-format-a-float-to-the-first-significant-decimal-and-with-specified-pr\nfn meh(float: f32, precision: usize) -> usize {\n    // compute absolute value\n    let a = float.abs();\n\n    // if abs value is greater than 1, then precision becomes less than \"standard\"\n\n    if a >= 1. {\n        // reduce by number of digits, minimum 0\n        let n = (1. + a.log10().floor()) as usize;\n        precision.saturating_sub(n)\n    // if precision is less than 1 (but non-zero), then precision becomes greater than \"standard\"\n    } else if a > 0. {\n        // increase number of digits\n        let n = -(1. + a.log10().floor()) as usize;\n        precision + n\n    // special case for 0\n    } else {\n        0\n    }\n}\n\npub fn print_dur(start: Instant) -> String {\n    let mut dur = Instant::now().duration_since(start).as_secs_f32();\n    let mut suffix = \"\";\n    if dur < 0.1 {\n        suffix = \"m\";\n        dur *= 1000.0;\n    }\n    let precision = meh(dur, 3);\n    format!(\"{dur:.precision$}{suffix}s\")\n}\n\npub fn print_bytes(bytes: impl Into<f64>) -> String {\n    pretty_bytes::converter::convert(bytes.into())\n}\n\npub fn to_io_err(e: anyhow::Error) -> std::io::Error {\n    std::io::Error::other(e)\n}\n\n#[cfg(test)]\n#[ctor::ctor]\nfn init() {\n    env_logger::init();\n}\n\n/** returns an AsyncRead that is empty but returns an io error if the given task had an io error or join error */\npub fn join_handle_to_stream(join: JoinHandle<std::io::Result<()>>) -> impl AsyncRead {\n    let st = stream! {\n        join.await.map_err(std::io::Error::other)??;\n        yield std::io::Result::Ok(&b\"\"[..])\n    };\n\n    StreamReader::new(st)\n}\n"
  },
  {
    "path": "src/matching.rs",
    "content": "/**\n * Module for matching adapters to files based on file name or mime type\n */\nuse crate::adapters::*;\n\nuse anyhow::*;\n\nuse regex::{Regex, RegexSet};\n\nuse std::iter::Iterator;\n\nuse std::sync::Arc;\n\n// match only based on file path\n#[derive(Clone, Debug)]\npub enum FastFileMatcher {\n    // MimeType(Regex),\n    /**\n     * without the leading dot, e.g. \"jpg\" or \"tar.gz\". Matched as /.*\\.ext$/\n     *\n     */\n    FileExtension(String),\n    // todo: maybe add others, e.g. regex on whole filename or even paths\n    // todo: maybe allow matching a directory (e.g. /var/lib/postgres)\n}\n\n#[derive(Clone, Debug)]\npub enum FileMatcher {\n    /// any type of fast matcher\n    Fast(FastFileMatcher),\n    ///\n    /// match by exact mime type extracted using tree_magic\n    /// TODO: allow match ignoring suffix etc?\n    MimeType(String),\n}\n\nimpl From<FastFileMatcher> for FileMatcher {\n    fn from(t: FastFileMatcher) -> Self {\n        Self::Fast(t)\n    }\n}\n\npub struct FileMeta {\n    // filename is not actually a utf8 string, but since we can't do regex on OsStr and can't get a &[u8] from OsStr either,\n    // and since we probably only want to do only matching on ascii stuff anyways, this is the filename as a string with non-valid bytes removed\n    pub lossy_filename: String,\n    // only given when slow matching is enabled\n    pub mimetype: Option<&'static str>,\n}\n\npub fn extension_to_regex(extension: &str) -> Regex {\n    Regex::new(&format!(\"(?i)\\\\.{}$\", &regex::escape(extension)))\n        .expect(\"we know this regex compiles\")\n}\n\n#[allow(clippy::type_complexity)]\npub fn adapter_matcher(\n    adapters: &[Arc<dyn FileAdapter>],\n    slow: bool,\n) -> Result<impl Fn(FileMeta) -> Option<(Arc<dyn FileAdapter>, FileMatcher)> + use<>> {\n    // need order later\n    let adapter_names: Vec<String> = adapters.iter().map(|e| e.metadata().name.clone()).collect();\n    let mut fname_regexes = vec![];\n    let mut mime_regexes = vec![];\n    for adapter in adapters.iter() {\n        let metadata = adapter.metadata();\n        use FileMatcher::*;\n        for matcher in metadata.get_matchers(slow) {\n            match matcher.as_ref() {\n                MimeType(re) => {\n                    mime_regexes.push((re.clone(), adapter.clone(), MimeType(re.clone())))\n                }\n                Fast(FastFileMatcher::FileExtension(re)) => fname_regexes.push((\n                    extension_to_regex(re),\n                    adapter.clone(),\n                    Fast(FastFileMatcher::FileExtension(re.clone())),\n                )),\n            };\n        }\n    }\n    let fname_regex_set = RegexSet::new(fname_regexes.iter().map(|p| p.0.as_str()))?;\n    let mime_regex_set = RegexSet::new(mime_regexes.iter().map(|p| p.0.as_str()))?;\n    Ok(move |meta: FileMeta| {\n        let fname_matches: Vec<_> = fname_regex_set\n            .matches(&meta.lossy_filename)\n            .into_iter()\n            .collect();\n        let mime_matches: Vec<_> = if slow {\n            mime_regex_set\n                .matches(meta.mimetype.expect(\"No mimetype?\"))\n                .into_iter()\n                .collect()\n        } else {\n            vec![]\n        };\n        if fname_matches.len() + mime_matches.len() > 1 {\n            // get first according to original priority list...\n            // todo: kinda ugly\n            let fa = fname_matches\n                .iter()\n                .map(|e| (fname_regexes[*e].1.clone(), fname_regexes[*e].2.clone()));\n            let fb = mime_matches\n                .iter()\n                .map(|e| (mime_regexes[*e].1.clone(), mime_regexes[*e].2.clone()));\n            let mut v = vec![];\n            v.extend(fa);\n            v.extend(fb);\n            v.sort_by_key(|e| {\n                adapter_names\n                    .iter()\n                    .position(|r| r == &e.0.metadata().name)\n                    .expect(\"impossib7\")\n            });\n            eprintln!(\n                \"Warning: found multiple adapters for {}:\",\n                meta.lossy_filename\n            );\n            for mmatch in v.iter() {\n                eprintln!(\" - {}\", mmatch.0.metadata().name);\n            }\n            return Some(v[0].clone());\n        }\n        if mime_matches.is_empty() {\n            if fname_matches.is_empty() {\n                None\n            } else {\n                let (_, adapter, matcher) = &fname_regexes[fname_matches[0]];\n                Some((adapter.clone(), matcher.clone()))\n            }\n        } else {\n            let (_, adapter, matcher) = &mime_regexes[mime_matches[0]];\n            Some((adapter.clone(), matcher.clone()))\n        }\n    })\n}\n"
  },
  {
    "path": "src/preproc.rs",
    "content": "use crate::adapted_iter::AdaptedFilesIterBox;\nuse crate::adapters::*;\nuse crate::caching_writer::async_read_and_write_to_cache;\nuse crate::config::RgaConfig;\nuse crate::matching::*;\nuse crate::preproc_cache::CacheKey;\nuse crate::recurse::concat_read_streams;\nuse crate::{\n    preproc_cache::{PreprocCache, open_cache_db},\n    print_bytes,\n};\nuse anyhow::*;\nuse async_compression::tokio::bufread::ZstdDecoder;\nuse async_stream::stream;\n// use futures::future::{BoxFuture, FutureExt};\nuse log::*;\nuse postproc::PostprocPrefix;\nuse std::future::Future;\nuse std::io::Cursor;\nuse std::path::Path;\nuse std::pin::Pin;\nuse std::sync::Arc;\nuse tokio::io::AsyncBufReadExt;\nuse tokio::io::BufReader;\nuse tokio::io::{AsyncBufRead, AsyncReadExt};\n\npub type ActiveAdapters = Vec<Arc<dyn FileAdapter>>;\n\nasync fn choose_adapter(\n    config: &RgaConfig,\n    filepath_hint: &Path,\n    archive_recursion_depth: i32,\n    inp: &mut (impl AsyncBufRead + Unpin),\n) -> Result<Option<(Arc<dyn FileAdapter>, FileMatcher, ActiveAdapters)>> {\n    let active_adapters = get_adapters_filtered(config.custom_adapters.clone(), &config.adapters)?;\n    let adapters = adapter_matcher(&active_adapters, config.accurate)?;\n    let filename = filepath_hint\n        .file_name()\n        .ok_or_else(|| format_err!(\"Empty filename\"))?;\n    debug!(\"Archive recursion depth: {}\", archive_recursion_depth);\n\n    let mimetype = if config.accurate {\n        let buf = inp.fill_buf().await?; // fill but do not consume!\n        if buf.starts_with(b\"From \\x0d\") || buf.starts_with(b\"From -\") {\n            Some(\"application/mbox\")\n        } else {\n            let mimetype = tree_magic::from_u8(buf);\n            debug!(\"mimetype: {:?}\", mimetype);\n            Some(mimetype)\n        }\n    } else {\n        None\n    };\n    let adapter = adapters(FileMeta {\n        mimetype,\n        lossy_filename: filename.to_string_lossy().to_string(),\n    });\n    Ok(adapter.map(|e| (e.0, e.1, active_adapters)))\n}\n\nenum Ret {\n    Recurse(AdaptInfo, Arc<dyn FileAdapter>, FileMatcher, ActiveAdapters),\n    Passthrough(AdaptInfo),\n}\nasync fn buf_choose_adapter(ai: AdaptInfo) -> Result<Ret> {\n    let mut inp = BufReader::with_capacity(1 << 16, ai.inp);\n    let adapter = choose_adapter(\n        &ai.config,\n        &ai.filepath_hint,\n        ai.archive_recursion_depth,\n        &mut inp,\n    )\n    .await?;\n    let ai = AdaptInfo {\n        inp: Box::pin(inp),\n        ..ai\n    };\n    let (a, b, c) = match adapter {\n        Some(x) => x,\n        None => {\n            // allow passthrough if the file is in an archive or accurate matching is enabled\n            // otherwise it should have been filtered out by rg pre-glob since rg can handle those better than us\n            let allow_cat = !ai.is_real_file || ai.config.accurate;\n            if allow_cat {\n                if ai.postprocess {\n                    (\n                        Arc::new(PostprocPrefix {}) as Arc<dyn FileAdapter>,\n                        FileMatcher::Fast(FastFileMatcher::FileExtension(\"default\".to_string())),\n                        Vec::new(),\n                    )\n                } else {\n                    return Ok(Ret::Passthrough(ai));\n                }\n            } else {\n                return Err(format_err!(\n                    \"No adapter found for file {:?}, passthrough disabled.\",\n                    ai.filepath_hint\n                        .file_name()\n                        .ok_or_else(|| format_err!(\"Empty filename\"))?\n                ));\n            }\n        }\n    };\n    Ok(Ret::Recurse(ai, a, b, c))\n}\n\n/**\n * preprocess a file as defined in `ai`.\n *\n * If a cache is passed, read/write to it.\n *\n */\npub async fn rga_preproc(ai: AdaptInfo) -> Result<ReadBox> {\n    debug!(\"path (hint) to preprocess: {:?}\", ai.filepath_hint);\n\n    // todo: figure out when using a bufreader is a good idea and when it is not\n    // seems to be good for File::open() reads, but not sure about within archives (tar, zip)\n    let (ai, adapter, detection_reason, active_adapters) = match buf_choose_adapter(ai).await? {\n        Ret::Recurse(ai, a, b, c) => (ai, a, b, c),\n        Ret::Passthrough(ai) => {\n            return Ok(ai.inp);\n        }\n    };\n    let path_hint_copy = ai.filepath_hint.clone();\n    adapt_caching(ai, adapter, detection_reason, active_adapters)\n        .await\n        .with_context(|| format!(\"run_adapter({})\", &path_hint_copy.to_string_lossy()))\n}\n\nasync fn adapt_caching(\n    ai: AdaptInfo,\n    adapter: Arc<dyn FileAdapter>,\n    detection_reason: FileMatcher,\n    active_adapters: ActiveAdapters,\n) -> Result<ReadBox> {\n    let meta = adapter.metadata();\n    debug!(\n        \"Chose adapter '{}' because of matcher {:?}\",\n        &meta.name, &detection_reason\n    );\n    eprintln!(\n        \"{} adapter: {}\",\n        ai.filepath_hint.to_string_lossy(),\n        &meta.name\n    );\n    let cache_compression_level = ai.config.cache.compression_level;\n    let cache_max_blob_len = ai.config.cache.max_blob_len;\n\n    let cache = if ai.is_real_file && !ai.config.cache.disabled {\n        Some(open_cache_db(Path::new(&ai.config.cache.path.0)).await?)\n    } else {\n        None\n    };\n\n    let mut cache = cache.context(\"No cache?\")?;\n    let cache_key = CacheKey::new(\n        ai.postprocess,\n        &ai.filepath_hint,\n        adapter.as_ref(),\n        &active_adapters,\n    )?;\n    // let dbg_ctx = format!(\"adapter {}\", &adapter.metadata().name);\n    let cached = cache.get(&cache_key).await.context(\"cache.get\")?;\n    match cached {\n        Some(cached) => Ok(Box::pin(ZstdDecoder::new(Cursor::new(cached)))),\n        None => {\n            debug!(\"cache MISS, running adapter with caching...\");\n            let inp = loop_adapt(adapter.as_ref(), detection_reason, ai).await?;\n            let inp = concat_read_streams(inp);\n            let inp = async_read_and_write_to_cache(\n                inp,\n                cache_max_blob_len.0,\n                cache_compression_level.0,\n                Box::new(move |(uncompressed_size, compressed)| {\n                    Box::pin(async move {\n                        debug!(\n                            \"uncompressed output: {}\",\n                            print_bytes(uncompressed_size as f64)\n                        );\n                        if let Some(cached) = compressed {\n                            debug!(\"compressed output: {}\", print_bytes(cached.len() as f64));\n                            cache\n                                .set(&cache_key, cached)\n                                .await\n                                .context(\"writing to cache\")?\n                        }\n                        Ok(())\n                    })\n                }),\n            )?;\n\n            Ok(Box::pin(inp))\n        }\n    }\n}\n\nasync fn read_discard(mut x: ReadBox) -> Result<()> {\n    let mut buf = [0u8; 1 << 16];\n    loop {\n        let n = x.read(&mut buf).await?;\n        if n == 0 {\n            break;\n        }\n    }\n    Ok(())\n}\n\npub fn loop_adapt(\n    adapter: &dyn FileAdapter,\n    detection_reason: FileMatcher,\n    ai: AdaptInfo,\n) -> Pin<Box<dyn Future<Output = anyhow::Result<AdaptedFilesIterBox>> + Send + '_>> {\n    Box::pin(async move { loop_adapt_inner(adapter, detection_reason, ai).await })\n}\npub async fn loop_adapt_inner(\n    adapter: &dyn FileAdapter,\n    detection_reason: FileMatcher,\n    ai: AdaptInfo,\n) -> anyhow::Result<AdaptedFilesIterBox> {\n    let fph = ai.filepath_hint.clone();\n    let inp = adapter.adapt(ai, &detection_reason).await;\n    let inp = if adapter.metadata().name == \"postprocprefix\" {\n        // don't add confusing error context\n        inp?\n    } else {\n        inp.with_context(|| {\n            format!(\n                \"adapting {} via {} failed\",\n                fph.to_string_lossy(),\n                adapter.metadata().name\n            )\n        })?\n    };\n    let s = stream! {\n        for await file in inp {\n            trace!(\"next file\");\n            match buf_choose_adapter(file?).await? {\n                Ret::Recurse(ai, adapter, detection_reason, _active_adapters) => {\n                    if ai.archive_recursion_depth >= ai.config.max_archive_recursion.0 {\n                        // some adapters (esp. zip) assume that the entry is read fully and might hang otherwise\n                        read_discard(ai.inp).await?;\n                        let s = format!(\"{}[rga: max archive recursion reached ({})]\\n\", ai.line_prefix, ai.archive_recursion_depth).into_bytes();\n                        yield Ok(AdaptInfo {\n                            inp: Box::pin(Cursor::new(s)),\n                            ..ai\n                        });\n                        continue;\n                    }\n                    debug!(\n                        \"Chose adapter '{}' because of matcher {:?}\",\n                        &adapter.metadata().name, &detection_reason\n                    );\n                    eprintln!(\n                        \"{} adapter: {}\",\n                        ai.filepath_hint.to_string_lossy(),\n                        &adapter.metadata().name\n                    );\n                    for await ifile in loop_adapt(adapter.as_ref(), detection_reason, ai).await? {\n                        yield ifile;\n                    }\n                }\n                Ret::Passthrough(ai) => {\n                    debug!(\"no adapter for {}, ending recursion\", ai.filepath_hint.to_string_lossy());\n                    yield Ok(ai);\n                }\n            }\n            trace!(\"done with files\");\n        }\n        trace!(\"stream ended\");\n    };\n    Ok(Box::pin(s))\n}\n"
  },
  {
    "path": "src/preproc_cache.rs",
    "content": "use crate::{adapters::FileAdapter, preproc::ActiveAdapters};\nuse anyhow::{Context, Result};\nuse log::warn;\nuse path_clean::PathClean;\nuse rusqlite::{OptionalExtension, named_params};\nuse std::{path::Path, time::UNIX_EPOCH};\nuse tokio_rusqlite::Connection;\n\nstatic SCHEMA_VERSION: i32 = 3;\n#[derive(Clone)]\npub struct CacheKey {\n    config_hash: String,\n    adapter: String,\n    adapter_version: i32,\n    active_adapters: String,\n    file_path: String,\n    file_mtime_unix_ms: i64,\n}\nimpl CacheKey {\n    pub fn new(\n        postprocess: bool,\n        filepath_hint: &Path,\n        adapter: &dyn FileAdapter,\n        active_adapters: &ActiveAdapters,\n    ) -> Result<Self> {\n        let meta = std::fs::metadata(filepath_hint)\n            .with_context(|| format!(\"reading metadata for {}\", filepath_hint.to_string_lossy()))?;\n        let modified = meta.modified().expect(\"weird OS that can't into mtime\");\n        let file_mtime_unix_ms = modified.duration_since(UNIX_EPOCH)?.as_millis() as i64;\n        let active_adapters = if adapter.metadata().recurses {\n            serde_json::to_string(\n                &active_adapters\n                    .iter()\n                    .map(|a| format!(\"{}.v{}\", a.metadata().name, a.metadata().version))\n                    .collect::<Vec<_>>(),\n            )?\n        } else {\n            \"null\".to_string()\n        };\n        Ok(Self {\n            config_hash: if postprocess {\n                \"a41e2e9\".to_string()\n            } else {\n                \"f1502a3\".to_string()\n            }, // todo: when we add more config options that affect caching, create a struct and actually hash it\n            adapter: adapter.metadata().name.clone(),\n            adapter_version: adapter.metadata().version,\n            file_path: filepath_hint.clean().to_string_lossy().to_string(),\n            file_mtime_unix_ms,\n            active_adapters,\n        })\n    }\n}\n\n#[async_trait::async_trait]\npub trait PreprocCache {\n    async fn get(&self, key: &CacheKey) -> Result<Option<Vec<u8>>>;\n    async fn set(&mut self, key: &CacheKey, value: Vec<u8>) -> Result<()>;\n}\n\nasync fn connect_pragmas(db: &Connection) -> Result<()> {\n    // https://phiresky.github.io/blog/2020/sqlite-performance-tuning/\n    //let want_page_size = 32768;\n    //db.execute(&format!(\"pragma page_size = {};\", want_page_size))\n    //    .context(\"setup pragma 1\")?;\n    db.call(|db| {\n        // db.busy_timeout(Duration::from_secs(10))?;\n        db.pragma_update(None, \"journal_mode\", \"wal\")?;\n        db.pragma_update(None, \"foreign_keys\", \"on\")?;\n        db.pragma_update(None, \"temp_store\", \"memory\")?;\n        db.pragma_update(None, \"synchronous\", \"off\")?; // integrity isn't very important here\n        db.pragma_update(None, \"mmap_size\", \"2000000000\")?;\n        db.execute(\"\n            create table if not exists preproc_cache (\n                config_hash text not null,\n                adapter text not null,\n                adapter_version integer not null,\n                created_unix_ms integer not null default (unixepoch() * 1000),\n                active_adapters text not null, -- 'null' if adapter cannot recurse\n                file_path text not null,\n                file_mtime_unix_ms integer not null,\n                text_content_zstd blob not null\n            ) strict\", []\n        )?;\n\n        db.execute(\"create unique index if not exists preproc_cache_idx on preproc_cache (config_hash, adapter, adapter_version, file_path, active_adapters)\", [])?;\n\n        Ok(())\n    })\n    .await.context(\"connect_pragmas\")?;\n    let jm: i64 = db\n        .call(|db| Ok(db.pragma_query_value(None, \"application_id\", |r| r.get(0))?))\n        .await?;\n    if jm != 924716026 {\n        // (probably) newly created db\n        db.call(|db| Ok(db.pragma_update(None, \"application_id\", \"924716026\")?))\n            .await?;\n    }\n    Ok(())\n}\n\nstruct SqliteCache {\n    db: Connection,\n}\nimpl SqliteCache {\n    async fn new(path: &Path) -> Result<Self> {\n        let db = Connection::open(path.join(\"cache.sqlite3\")).await?;\n        db.call(|db| {\n            let schema_version: i32 = db.pragma_query_value(None, \"user_version\", |r| r.get(0))?;\n            if schema_version != SCHEMA_VERSION {\n                warn!(\"Cache schema version mismatch, clearing cache\");\n                db.execute(\"drop table if exists preproc_cache\", [])?;\n                db.pragma_update(None, \"user_version\", format!(\"{SCHEMA_VERSION}\"))?;\n            }\n            Ok(())\n        })\n        .await?;\n\n        connect_pragmas(&db).await?;\n\n        Ok(Self { db })\n    }\n}\n\n#[async_trait::async_trait]\nimpl PreprocCache for SqliteCache {\n    async fn get(&self, key: &CacheKey) -> Result<Option<Vec<u8>>> {\n        let key = (*key).clone(); // todo: without cloning\n        Ok(self\n            .db\n            .call(move |db| {\n                Ok(db\n                    .query_row(\n                        \"select text_content_zstd from preproc_cache where\n                            adapter = :adapter\n                        and config_hash = :config_hash\n                        and adapter_version = :adapter_version\n                        and active_adapters = :active_adapters\n                        and file_path = :file_path\n                        and file_mtime_unix_ms = :file_mtime_unix_ms\n                \",\n                        named_params! {\n                            \":config_hash\": &key.config_hash,\n                            \":adapter\": &key.adapter,\n                            \":adapter_version\": &key.adapter_version,\n                            \":active_adapters\": &key.active_adapters,\n                            \":file_path\": &key.file_path,\n                            \":file_mtime_unix_ms\": &key.file_mtime_unix_ms\n                        },\n                        |r| r.get::<_, Vec<u8>>(0),\n                    )\n                    .optional()?)\n            })\n            .await\n            .context(\"reading from cache\")?)\n    }\n\n    async fn set(&mut self, key: &CacheKey, value: Vec<u8>) -> Result<()> {\n        let key = (*key).clone(); // todo: without cloning\n        log::trace!(\n            \"Writing to cache: {}, {}, {} byte\",\n            key.adapter,\n            key.file_path,\n            value.len()\n        );\n        Ok(self\n            .db\n            .call(move |db| {\n                db.execute(\n                    \"insert into preproc_cache (config_hash, adapter, adapter_version, active_adapters, file_path, file_mtime_unix_ms, text_content_zstd) values\n                        (:config_hash, :adapter, :adapter_version, :active_adapters, :file_path, :file_mtime_unix_ms, :text_content_zstd)\n                    on conflict (config_hash, adapter, adapter_version, active_adapters, file_path) do update set\n                        file_mtime_unix_ms = :file_mtime_unix_ms,\n                        created_unix_ms = unixepoch() * 1000,\n                        text_content_zstd = :text_content_zstd\",\n                    named_params! {\n                        \":config_hash\": &key.config_hash,\n                        \":adapter\": &key.adapter,\n                        \":adapter_version\": &key.adapter_version,\n                        \":active_adapters\": &key.active_adapters,\n                        \":file_path\": &key.file_path,\n                        \":file_mtime_unix_ms\": &key.file_mtime_unix_ms,\n                        \":text_content_zstd\": value\n                    })?;\n                Ok(())\n            })\n            .await?)\n    }\n}\n/// opens a default cache\npub async fn open_cache_db(path: &Path) -> Result<impl PreprocCache + use<>> {\n    std::fs::create_dir_all(path)?;\n    SqliteCache::new(path).await\n}\n\n#[cfg(test)]\nmod test {\n\n    use crate::preproc_cache::*;\n\n    #[tokio::test]\n    async fn test_read_write() -> anyhow::Result<()> {\n        let path = tempfile::tempdir()?;\n        let _db = open_cache_db(&path.path().join(\"foo.sqlite3\")).await?;\n        // db.set();\n        Ok(())\n    }\n}\n"
  },
  {
    "path": "src/recurse.rs",
    "content": "use tokio_util::io::{ReaderStream, StreamReader};\n\nuse crate::{adapted_iter::AdaptedFilesIterBox, adapters::*, to_io_err};\nuse async_stream::stream;\n\npub fn concat_read_streams(input: AdaptedFilesIterBox) -> ReadBox {\n    let s = stream! {\n        for await output in input {\n            let o = output.map_err(to_io_err)?.inp;\n            let stream = ReaderStream::new(o);\n            for await bytes in stream {\n                yield bytes;\n            }\n        }\n    };\n    Box::pin(StreamReader::new(s))\n}\n"
  },
  {
    "path": "src/test_utils.rs",
    "content": "use crate::{\n    adapted_iter::AdaptedFilesIterBox,\n    adapters::{\n        AdaptInfo, ReadBox,\n        custom::{BUILTIN_SPAWNING_ADAPTERS, CustomSpawningFileAdapter},\n    },\n    config::RgaConfig,\n    matching::{FastFileMatcher, FileMatcher},\n    recurse::concat_read_streams,\n};\nuse anyhow::Result;\nuse std::path::{Path, PathBuf};\nuse tokio::{fs::File, io::AsyncReadExt};\n\npub use pretty_assertions::{assert_eq, assert_ne};\npub fn test_data_dir() -> PathBuf {\n    let mut d = PathBuf::from(env!(\"CARGO_MANIFEST_DIR\"));\n    d.push(\"exampledir/test/\");\n    d\n}\n\npub async fn simple_fs_adapt_info(filepath: &Path) -> Result<(AdaptInfo, FileMatcher)> {\n    Ok(simple_adapt_info_full(\n        filepath,\n        Box::pin(File::open(filepath).await?),\n        true,\n    ))\n}\npub fn simple_adapt_info(filepath: &Path, inp: ReadBox) -> (AdaptInfo, FileMatcher) {\n    simple_adapt_info_full(filepath, inp, false)\n}\n\npub fn simple_adapt_info_full(\n    filepath: &Path,\n    inp: ReadBox,\n    is_real_file: bool,\n) -> (AdaptInfo, FileMatcher) {\n    (\n        AdaptInfo {\n            filepath_hint: filepath.to_owned(),\n            is_real_file,\n            archive_recursion_depth: 0,\n            inp,\n            line_prefix: \"PREFIX:\".to_string(),\n            config: RgaConfig::default(),\n            postprocess: true,\n        },\n        FastFileMatcher::FileExtension(\n            filepath\n                .extension()\n                .unwrap_or_default()\n                .to_string_lossy()\n                .into_owned(),\n        )\n        .into(),\n    )\n}\n\npub async fn adapted_to_vec(adapted: AdaptedFilesIterBox) -> Result<Vec<u8>> {\n    let mut res = concat_read_streams(adapted);\n\n    let mut buf = Vec::new();\n    res.read_to_end(&mut buf).await?;\n    Ok(buf)\n}\n\npub fn poppler_adapter() -> CustomSpawningFileAdapter {\n    let adapter = BUILTIN_SPAWNING_ADAPTERS\n        .iter()\n        .find(|e| e.name == \"poppler\")\n        .expect(\"no poppler adapter\");\n\n    adapter.to_adapter()\n}\n\n#[cfg(test)]\npub fn init_logging() {\n    let _ = env_logger::builder().is_test(true).try_init();\n}\n"
  }
]