Full Code of makelove/Programer_Log for AI

Repository: makelove/Programer_Log
Branch: master
Commit: 12ee6d18ae36
Files: 309
Total size: 29.3 MB

Directory structure:
gitextract_yt17wx8s/

├── .gitignore
├── 2019/
│   ├── 12-16-Github-Pull-requests-gocolly/
│   │   └── Github-Pull-requests-gocolly.md
│   ├── 12-18-Caddy搭建Google镜像-反向代理/
│   │   └── Caddy搭建Google镜像-反向代理.md
│   ├── 12-26-用docker模拟Nginx限制同一个爬虫ip的访问频率/
│   │   └── 用docker模拟Nginx限制同一个爬虫ip的访问频率.md
│   ├── 12-29-Docker-OpenCV-golang-gocv/
│   │   ├── README.md
│   │   └── facedetect-from-url/
│   │       ├── facedetect
│   │       └── main.go
│   ├── 12-30-Docker-Puppeteer抓取动态页面/
│   │   ├── README.md
│   │   └── puppeteer/
│   │       └── docker-puppeteer-pdf.js
│   └── 12-31-Ubuntu-docker-puppeteer-刷B站视频播放量/
│       ├── README.md
│       └── docker-h5.js
├── 2020/
│   ├── 1-19-TTS语音合成/
│   │   ├── README.md
│   │   └── 讯飞语音/
│   │       ├── config.py
│   │       ├── tts_ws_python3_demo.py
│   │       └── xf_service.py
│   ├── 1-20-hacker-tools/
│   │   └── README.md
│   ├── 1-3-特朗普-推特-截图/
│   │   ├── README.md
│   │   └── twitter_screenshot1.js
│   ├── 10-9-weShare-ink-display/
│   │   └── README.md
│   ├── 11-25-use-Search-engine/
│   │   └── README.md
│   ├── 12-17-Azure-server-free/
│   │   └── README.md
│   ├── 12-19-password-generator/
│   │   ├── README.md
│   │   └── password.py
│   ├── 12-21-python-hosts/
│   │   ├── README.md
│   │   └── add-host-ip.py
│   ├── 12-21-requests-toolbelt/
│   │   └── README.md
│   ├── 12-22-PyGithub/
│   │   └── README.md
│   ├── 12-4-chrome-enable-network-request-blocking/
│   │   └── README.md
│   ├── 12-5-flask-ffmpeg-m3u8/
│   │   └── README.md
│   ├── 2-1-WordCloud-武汉/
│   │   ├── README.md
│   │   ├── 词云-Alice-英文.ipynb
│   │   └── 词云wordcloud-中文.ipynb
│   ├── 2-12-Elasticsearch-Chrome/
│   │   ├── README.md
│   │   └── 分词.md
│   ├── 2-13-微博实时抓取/
│   │   └── README.md
│   ├── 2-17-Python-secrets/
│   │   └── README.md
│   ├── 2-18-Docker-Go-goProxy/
│   │   └── README.md
│   ├── 2-18-Scrapy-auto-proxy/
│   │   ├── README.md
│   │   └── manage_proxy.py
│   ├── 2-19-JetBrains-Pycharm-破解/
│   │   ├── README.md
│   │   └── demo/
│   │       ├── .vscode/
│   │       │   └── launch.json
│   │       ├── demo.py
│   │       ├── go.mod
│   │       └── t1.go
│   ├── 2-20-Python-Siri-语音朗读文章/
│   │   ├── Global-hotkeys.py
│   │   ├── README.md
│   │   ├── copy-string-tts.py
│   │   ├── copy-string-tts2.py
│   │   └── keyboard_Listener1.py
│   ├── 2-22-Scrapy-Puppeteer-Js/
│   │   ├── README.md
│   │   ├── demo/
│   │   │   ├── demo/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── items.py
│   │   │   │   ├── middlewares.py
│   │   │   │   ├── pipelines.py
│   │   │   │   ├── settings.py
│   │   │   │   └── spiders/
│   │   │   │       ├── __init__.py
│   │   │   │       └── example.py
│   │   │   ├── main.py
│   │   │   └── scrapy.cfg
│   │   ├── docker-puppeteer-index.js
│   │   ├── index.html
│   │   ├── js_server.go
│   │   ├── js_server.py
│   │   └── templates/
│   │       └── index.html
│   ├── 2-23-压力测试-locust/
│   │   ├── README.md
│   │   ├── locust-get.py
│   │   ├── locust_file.py
│   │   └── server.go
│   ├── 2-24-Go-Module/
│   │   ├── README.md
│   │   └── demo/
│   │       ├── a
│   │       ├── a.go
│   │       ├── a2.go
│   │       ├── dir1/
│   │       │   ├── b.go
│   │       │   ├── b2.go
│   │       │   └── dir11/
│   │       │       └── b11.go
│   │       ├── dir2d/
│   │       │   ├── d2.go
│   │       │   └── d21.go
│   │       └── go.mod
│   ├── 2-26-Go_Proxy_server/
│   │   ├── README.md
│   │   ├── go.mod
│   │   ├── proxy_server
│   │   └── proxy_server.go
│   ├── 2-26-多点签到领积分/
│   │   ├── README.md
│   │   ├── demo1.py
│   │   ├── 多点-签到-抓包.txt
│   │   └── 多点-领取奖励-抓包.txt
│   ├── 2-29-Docker-WeChat/
│   │   └── README.md
│   ├── 2-3-Chrome-extensions/
│   │   ├── README.md
│   │   ├── content_scripts和background的消息传递.md
│   │   └── 参考.md
│   ├── 2-4-App-Store/
│   │   ├── 怎样做一个像 【七麦数据】那样的网站.txt
│   │   └── 苹果 接口 node-js.txt
│   ├── 2-5-Go语言入门/
│   │   └── README.md
│   ├── 2-5-TTS-Moviepy/
│   │   ├── README.md
│   │   └── TTS/
│   │       ├── Install.txt
│   │       ├── config.py
│   │       ├── xf_service.py
│   │       └── 语音合成自动视频.ipynb
│   ├── 2-6-BT_Torrent/
│   │   └── README.md
│   ├── 2-6-Spider-Speed-test/
│   │   ├── README.md
│   │   ├── go_spider
│   │   ├── go_spider.go
│   │   ├── scrapy_demo/
│   │   │   ├── README.md
│   │   │   ├── scrapy.cfg
│   │   │   └── scrapy_demo/
│   │   │       ├── __init__.py
│   │   │       ├── items.py
│   │   │       ├── middlewares.py
│   │   │       ├── middlewares_proxy_redis.py
│   │   │       ├── pipelines.py
│   │   │       ├── settings.py
│   │   │       └── spiders/
│   │   │           ├── __init__.py
│   │   │           └── example.py
│   │   ├── server
│   │   └── server.go
│   ├── 2-6-gocolly/
│   │   └── README.md
│   ├── 2-7-Docker-Nginx-antiClawer/
│   │   ├── README.md
│   │   ├── deny_userAgent.conf
│   │   ├── go_spider
│   │   ├── go_spider.go
│   │   ├── nginx1.conf
│   │   └── server.go
│   ├── 2-9-Chrome插件-全文检索/
│   │   └── README.md
│   ├── 3-1-世界语言-翻译-Siri朗读/
│   │   ├── README.md
│   │   ├── baidu_translate_api.py
│   │   ├── config.py
│   │   ├── macOS-siri-百度翻译-TTS.py
│   │   └── py-调用macos内置的语音听写功能.py
│   ├── 3-10-nonebot_Coolq_Docker/
│   │   └── README.md
│   ├── 3-13-macOS-lock-screen/
│   │   ├── README.md
│   │   ├── lockscreen.py
│   │   └── suspend.py
│   ├── 3-14-DNS查询/
│   │   └── README.md
│   ├── 3-14-时间管理/
│   │   └── README.md
│   ├── 3-16-GitHub-Free/
│   │   ├── README.md
│   │   ├── proxy_list1
│   │   ├── proxy_list1.py
│   │   └── verify_proxy.py
│   ├── 3-16-企业微信/
│   │   ├── QYWX_APP/
│   │   │   ├── WXBizMsgCrypt.py
│   │   │   ├── callback1.py
│   │   │   ├── config.py
│   │   │   ├── ierror.py
│   │   │   └── 安装.md
│   │   ├── README.md
│   │   └── bot1.py
│   ├── 3-17-Auto.js/
│   │   ├── Programer-Pay-Solution.md
│   │   ├── README.md
│   │   ├── 微信/
│   │   │   ├── 微信-收款码-输入金额-备注.js
│   │   │   ├── 微信-收款码-输入金额-捕捉toast.js
│   │   │   ├── 微信-收款码-输入金额.js
│   │   │   ├── 微信1.js
│   │   │   └── 收款码.js
│   │   └── 打开QQ聊天.js
│   ├── 3-18-Docker-PHP-dataoke/
│   │   ├── PHP/
│   │   │   ├── README.md
│   │   │   └── nginx/
│   │   │       ├── conf/
│   │   │       │   └── conf.d/
│   │   │       │       └── php.conf
│   │   │       └── www/
│   │   │           ├── index.html
│   │   │           ├── index.php
│   │   │           └── phpinfo.php
│   │   └── README.md
│   ├── 3-18-raspberry-pi-VScode/
│   │   ├── README.md
│   │   └── request-ip.py
│   ├── 3-2-Wikipedia/
│   │   └── README.md
│   ├── 3-20-keyboard-man/
│   │   └── README.md
│   ├── 3-23-douban-movie-chrome-extension/
│   │   ├── README.md
│   │   └── extension/
│   │       ├── _locales/
│   │       │   ├── en/
│   │       │   │   └── messages.json
│   │       │   └── zh_CN/
│   │       │       └── messages.json
│   │       ├── css/
│   │       │   └── tab.css
│   │       ├── js/
│   │       │   ├── background.js
│   │       │   └── content.js
│   │       └── manifest.json
│   ├── 3-24-macOS-Python-Notification/
│   │   ├── README.md
│   │   ├── bili_status_number.py
│   │   └── macos_notify.py
│   ├── 3-25-git-sourcetree-Fork/
│   │   └── README.md
│   ├── 3-26-m3u8-decrypt/
│   │   └── README.md
│   ├── 3-28-Python反向编程/
│   │   ├── README.md
│   │   └── demo.py
│   ├── 3-29-Chrome-History/
│   │   └── README.md
│   ├── 3-30-程序员-邮件订阅/
│   │   └── README.md
│   ├── 3-31-python-smart-device/
│   │   ├── README.md
│   │   ├── broadlink1.py
│   │   ├── 广播1.py
│   │   └── 监听1.py
│   ├── 3-4-WireShark-https-Decrypt/
│   │   └── README.md
│   ├── 3-5-Python-Request-https-with-proxy/
│   │   ├── README.md
│   │   ├── verify_https.go
│   │   └── verify_https.py
│   ├── 3-5-Ubuntu-install-Wine-run-Windows/
│   │   └── README.md
│   ├── 3-6-macOS创建输入法/
│   │   ├── README.md
│   │   ├── bili_utf16.inputplugin
│   │   └── mac_canton_utf16.inputplugin
│   ├── 3-7-web-proxy/
│   │   ├── README.md
│   │   ├── demo1.py
│   │   └── demo2.py
│   ├── 3-9-DNS-server/
│   │   ├── README.md
│   │   ├── dns_flask.py
│   │   └── mini_dns_server.go
│   ├── 4-1-mitmproxy-抖音/
│   │   └── README.md
│   ├── 4-10-MCN-papi酱/
│   │   ├── README.md
│   │   └── analysis.py
│   ├── 4-2-今日头条-原创视频-收益/
│   │   └── README.md
│   ├── 4-23-moviepy-GIF/
│   │   ├── README.md
│   │   └── 跳绳-GIF动画.ipynb
│   ├── 4-23-程小奔python/
│   │   ├── README.md
│   │   └── 检测物体.py
│   ├── 4-29-GoPro-MAX/
│   │   └── README.md
│   ├── 4-3-Jupiter-Notebook-插入HTML视频/
│   │   ├── README.md
│   │   └── html_video.ipynb
│   ├── 4-8-instagram/
│   │   └── README.md
│   ├── 5-4-movie-调查犯罪是我们的职业/
│   │   ├── Crime est notre affaire.subs.cn.srt
│   │   ├── Crime est notre affaire.subs.eng.srt
│   │   └── README.md
│   ├── 6-17-Bird-Sound-crawl/
│   │   ├── README.md
│   │   ├── data.py
│   │   ├── download_sound.py
│   │   ├── sound_proxy.py
│   │   └── sounds/
│   │       └── download.ams.birds.cornell.edu/
│   │           └── api/
│   │               └── v1/
│   │                   └── asset/
│   │                       ├── 108015/
│   │                       │   └── audio
│   │                       └── 109243711/
│   │                           └── audio
│   ├── 6-17-EXIF-GPS/
│   │   ├── README.md
│   │   └── exif-gps.py
│   ├── 6-22-iPad-Draw-on-Map/
│   │   └── README.md
│   └── 7-30-PDF-decrypt/
│       ├── README.md
│       ├── pdf_decrypt.py
│       └── pdf_unlock.go
├── 2021/
│   ├── 1-19-macOS-Window-On-Top/
│   │   └── README.md
│   ├── 1-24-desert-forest-destroyed/
│   │   └── README.md
│   ├── 1-27-server-psutil/
│   │   ├── README.md
│   │   └── server_report.py
│   ├── 1-31-scapy-graph-svg/
│   │   ├── Graphviz/
│   │   │   ├── dot/
│   │   │   │   └── test.dot
│   │   │   └── 生成动态路由轨迹图.ipynb
│   │   └── README.md
│   ├── 1-4-bilibili_api/
│   │   └── README.md
│   ├── 1-5-github-markdown-html/
│   │   ├── README.md
│   │   └── repo_markdown_html1.py
│   ├── 2-23-great-code/
│   │   └── README.md
│   ├── 2-24-movie-cut/
│   │   └── README.md
│   ├── 2-28-GitHub-short-link/
│   │   ├── README.md
│   │   ├── push_qrcode1.py
│   │   └── short_link1.py
│   ├── 3-13-chrome-book/
│   │   └── README.md
│   ├── 3-15-wallpaper/
│   │   ├── README.md
│   │   └── 壁纸/
│   │       ├── README.MD
│   │       ├── goWP.go
│   │       ├── wp1.go
│   │       ├── wp1.py
│   │       ├── wp2.go
│   │       └── wp_macos
│   ├── 3-17-VMagicMirror/
│   │   └── README.md
│   ├── 3-19-Chrome-tabs/
│   │   ├── README.md
│   │   └── TabGroups-shortcuts/
│   │       ├── README.md
│   │       ├── background.js
│   │       ├── hello.html
│   │       └── manifest.json
│   ├── 3-21-subtitle-rejust/
│   │   ├── README.md
│   │   ├── cn2.srt
│   │   ├── jl1.py
│   │   ├── 从网站下载的简体.srt
│   │   ├── 从视频分离的字幕.srt
│   │   └── 调整后.srt
│   ├── 3-7-m3u8-chrome/
│   │   ├── README.md
│   │   ├── ffmpeg1.py
│   │   └── youku1.py
│   ├── 5-30-SMS-api/
│   │   ├── README.md
│   │   └── sms_server.py
│   ├── 5-30-puppeteer-REPL/
│   │   ├── README.md
│   │   └── 在命令行里REPL/
│   │       ├── DEMO.JS
│   │       ├── debug.js
│   │       └── puppeteer-extra-plugin-repl.js
│   ├── 6-19-list-groupby/
│   │   ├── README.md
│   │   └── groupby.py
│   ├── 7-11-Flask-Pydantic/
│   │   ├── README.md
│   │   ├── fastapi_pydantic1.py
│   │   └── flask_pydantic1.py
│   ├── 7-25-Lorca/
│   │   ├── README.MD
│   │   └── examples/
│   │       ├── counter/
│   │       │   ├── Example.app/
│   │       │   │   └── Contents/
│   │       │   │       ├── Info.plist
│   │       │   │       ├── MacOS/
│   │       │   │       │   └── lorca-example
│   │       │   │       └── Resources/
│   │       │   │           └── icon.icns
│   │       │   ├── build-linux.sh
│   │       │   ├── build-macos.sh
│   │       │   ├── build-windows.bat
│   │       │   ├── counter_win10
│   │       │   ├── go.mod
│   │       │   ├── go.sum
│   │       │   ├── icons/
│   │       │   │   └── icon.icns
│   │       │   ├── main.go
│   │       │   └── www/
│   │       │       └── index.html
│   │       ├── hello/
│   │       │   ├── hello_win10
│   │       │   ├── main.go
│   │       │   └── main_macOS
│   │       └── stopwatch/
│   │           ├── main.go
│   │           ├── main_macOS
│   │           └── stopwatch_win10
│   ├── 7-4-diskcache/
│   │   ├── README.md
│   │   └── diskcache1.py
│   ├── 8-1-deta-fastapi/
│   │   └── README.md
│   ├── 8-15-Marp-ppt/
│   │   ├── README.MD
│   │   ├── README.html
│   │   ├── demo-完成.html
│   │   ├── demo-完成.md
│   │   ├── demo-完成2.html
│   │   ├── demo-完成3.html
│   │   ├── demo-完成4.html
│   │   ├── demo-完成5.html
│   │   ├── demo-完成6.html
│   │   └── demo.md
│   └── 9-3-Deta-Base/
│       ├── BaseDemo/
│       │   ├── config.py
│       │   ├── main.py
│       │   └── requirements.txt
│       └── README.md
└── README.md

================================================
FILE CONTENTS
================================================

================================================
FILE: .gitignore
================================================
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
#  Usually these files are written by a python script from a template
#  before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
.python-version

# pipenv
#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
#   However, in case of collaboration, if having platform-specific dependencies or dependencies
#   having no cross-platform support, pipenv may install dependencies that don't work, or not
#   install all needed dependencies.
#Pipfile.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/


# new
.idea
.DS_Store


================================================
FILE: 2019/12-16-Github-Pull-requests-gocolly/Github-Pull-requests-gocolly.md
================================================
- 使用gocolly爬虫，想统计抓取情况发现不方便，所以自己修改colly.go写了一个方法Statistics
    - https://github.com/gocolly/colly/issues/411
- 参考
    - [git学习--GitHub上如何进行PR(Pull Request)操作](https://blog.csdn.net/qq_33429968/article/details/62219783)    
    
- PR步骤
```shell script
#首先fork gocolly 到自己的GitHub

# 然后clone到本地
(.py3) pro:github play$ mkdir PR
(.py3) pro:github play$ cd PR
(.py3) pro:PR play$ git clone git@github.com:makelove/colly.git
Cloning into 'colly'...
remote: Enumerating objects: 130, done.
remote: Counting objects: 100% (130/130), done.
remote: Compressing objects: 100% (97/97), done.
remote: Total 1797 (delta 33), reused 52 (delta 8), pack-reused 1667
Receiving objects: 100% (1797/1797), 8.16 MiB | 43.00 KiB/s, done.
Resolving deltas: 100% (955/955), done.
(.py3) pro:PR play$
(.py3) pro:PR play$ ls
.     ..    colly
(.py3) pro:PR play$ cd colly/

#与 https://github.com/gocolly/colly 建立链接
(.py3) pro:colly play$ git remote -v
origin	git@github.com:makelove/colly.git (fetch)
origin	git@github.com:makelove/colly.git (push)
(.py3) pro:colly play$ git remote add upstream https://github.com/gocolly/colly.git
(.py3) pro:colly play$ git remote -v
origin	git@github.com:makelove/colly.git (fetch)
origin	git@github.com:makelove/colly.git (push)
upstream	https://github.com/gocolly/colly.git (fetch)
upstream	https://github.com/gocolly/colly.git (push)

#建立分支
(.py3) pro:colly play$ git branch
* master
(.py3) pro:colly play$ git checkout -b  Statistics
Switched to a new branch 'Statistics'
(.py3) pro:colly play$ git branch
* Statistics
  master
#修改代码
(.py3) pro:colly play$ sub .

#提交代码
(.py3) pro:colly play$ git status
On branch Statistics
Changes not staged for commit:
  (use "git add <file>..." to update what will be committed)
  (use "git checkout -- <file>..." to discard changes in working directory)

	modified:   colly.go

no changes added to commit (use "git add" and/or "git commit -a")
(.py3) pro:colly play$ git add colly.go
(.py3) pro:colly play$ git commit -m "add Statistics function to colly.Collector"
[Statistics fe0f649] add Statistics function to colly.Collector
 1 file changed, 12 insertions(+)
(.py3) pro:colly play$ git status
On branch Statistics
nothing to commit, working tree clean
(.py3) pro:colly play$ git push
fatal: The current branch Statistics has no upstream branch.
To push the current branch and set the remote as upstream, use

    git push --set-upstream origin Statistics

(.py3) pro:colly play$ git push --set-upstream origin Statistics
Enumerating objects: 5, done.
Counting objects: 100% (5/5), done.
Delta compression using up to 4 threads
Compressing objects: 100% (3/3), done.
Writing objects: 100% (3/3), 466 bytes | 466.00 KiB/s, done.
Total 3 (delta 2), reused 0 (delta 0)
remote: Resolving deltas: 100% (2/2), completed with 2 local objects.
remote:
remote: Create a pull request for 'Statistics' on GitHub by visiting:
remote:      https://github.com/makelove/colly/pull/new/Statistics
remote:
To github.com:makelove/colly.git
 * [new branch]      Statistics -> Statistics
Branch 'Statistics' set up to track remote branch 'Statistics' from 'origin'.
```    

- 在https://github.com/makelove/colly/pulls 创建  Pull requests 
    - 检查代码
    - 提交

================================================
FILE: 2019/12-18-Caddy搭建Google镜像-反向代理/Caddy搭建Google镜像-反向代理.md
================================================
- 官网
    - https://github.com/caddyserver/caddy
    - 下载 https://caddyserver.com/v1/download
- 视频 https://www.bilibili.com/video/av79726017/
- 参考
    - [caddy 搭建google 镜像,很容易](https://www.banwagongzw.com/33.html)
    - 安装脚本
        - https://github.com/ToyoDAdoubi/doubi/blob/master/caddy_install.sh

- 视频
    - [Caddy搭建Google镜像-反向代理](https://www.bilibili.com/video/av79726017/)

- 配置
    - 最后在Chrome浏览器安装扩展【[删除谷歌重定向](https://github.com/kodango/Remove-Google-Redirection)】
        - Chrome 网上应用店 https://chrome.google.com/webstore/detail/dnhjklgpiifbofihffldllbcopkinlod
```shell script
(.py3) localhost:caddy_v1.0.4_linux_amd64 play$ cat Caddyfile
:80 {
 gzip
 proxy / https://www.baidu.com
}
#执行
sudo ./caddy -conf ./Caddyfile
```    

- 调试
    - 镜像HTTPS网站
        - ./caddy -host baidu.com -port 8080
            - 可能SSL证书获取失败
        
## 还需要买一个服务器   
- 国外
    - [vultr](https://www.vultr.com/?ref=8349543) 

================================================
FILE: 2019/12-26-用docker模拟Nginx限制同一个爬虫ip的访问频率/用docker模拟Nginx限制同一个爬虫ip的访问频率.md
================================================
# 用docker模拟Nginx限制同一个爬虫ip的访问频率

- Nginx配置
https://blog.csdn.net/weixin_34341117/article/details/85848963
使用golang的tollbooth模块代替
https://github.com/didip/tollbooth

- Docker

1.启动busybox
docker run -it -p 84:4000 --volume /Users/play/CODE/GO/HTTP请求限流/tollbooth1:/go busybox
cd /go/
/go # ./demo3_linux
网址
curl http://192.168.0.111:84/ip
查看IP
docker exec -it container1 ip addr
172.17.0.2

2.启动代理
docker run -it -p 3129:3128 --name=squid3  datadog/squid
测试
curl -x localhost:3129 http://172.17.0.2:4000/ip

3.批量测试
```shell script
#!/bin/bash

for((i=1;i<=10;i++));
do
curl -x localhost:3129 http://172.17.0.2:4000/ip ;
echo ""
echo "-------"
done
```

4. Python测试
```python
import requests
from time import sleep
url='http://172.17.0.2:4000/ip'
proxies = {
  "http": "http://localhost:3129",
  "https": "http://localhost:3129",
}
for i in range(200):
    rs=requests.get(url,proxies=proxies)
    print(rs.status_code,rs.text)
    if rs.status_code==429:
        sleep(0.3)
```

================================================
FILE: 2019/12-29-Docker-OpenCV-golang-gocv/README.md
================================================
# 使用docker运行OpenCV+golang
- 参考
    - https://github.com/hybridgroup/gocv
    - https://hub.docker.com/r/hybridgroup/gocv

- 结论
    - docker+gocv 可以作为服务器程序，在服务器上高速执行

- 首先 pull docker
    - docker pull hybridgroup/gocv
    - 运行后
        - 发现golang版本太低，不能执行代码，需要升级   
    
下载 go1.13.3.linux-amd64.tar.gz
https://dl.google.com/go/go1.13.3.linux-amd64.tar.gz 不行
https://studygolang.com/dl/golang/go1.13.3.linux-amd64.tar.gz

docker run -it  -v /Users/play/github/gocv:/gocv hybridgroup/gocv
进入后，解压，即可
```shell script
    1  cd /gocv/
    2  rm -rf /usr/local/go
    3  tar -C /usr/local -xzf go1.13.3.linux-amd64.tar.gz
    4  go version

```
退出
```shell script
(.py3) pro:~ play$ docker ps -a
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS                     PORTS               NAMES
f2dc43cabe71        hybridgroup/gocv    "/bin/bash"         12 minutes ago      Exited (0) 2 seconds ago                       hopeful_lehmann
ec9d94cacbe1        pypy:3.6            "pypy3"             16 hours ago        Exited (0) 16 hours ago                        admiring_vaughan

#将容器打包成一个新的镜像
(.py3) pro:~ play$ docker commit  f2dc43cabe71 gocv:go1.13
sha256:033be3d5044d7f84ff552255e0c7f3d1da7c92d3a462342d37799b3f02f519fa
(.py3) pro:~ play$ docker image ls |grep gocv
gocv 				go1.13              033be3d5044d        16 seconds ago      1.5GB
hybridgroup/gocv    latest              f236ffa190b7        7 weeks ago         1.14GB


#测试
docker run -it  -v /Users/play/github/gocv:/gocv  gocv:go1.13
root@d7b692fdda37:/gocv/cmd/version# go run main.go
gocv version: 0.21.0
opencv lib version: 4.0.1
root@d7b692fdda37:/gocv/cmd/version# go version
go version go1.13.3 linux/amd64

```

- 执行脸部识别程序
```shell script
root@d7b692fdda37:/gocv/cmd/facedetect# cd /gocv/cmd/facedetect-from-url/
root@d7b692fdda37:/gocv/cmd/facedetect-from-url# go build  -o facedetect main.go
root@d7b692fdda37:/gocv/cmd/facedetect-from-url# ll -h
total 8.3M
drwxr-xr-x  4 root root  128 Jan  1 03:36 ./
drwxr-xr-x 30 root root  960 Dec  2 10:39 ../
-rwxr-xr-x  1 root root 8.3M Jan  1 03:36 facedetect*
-rw-r--r--  1 root root 1.9K Dec  2 11:04 main.go
root@d7b692fdda37:/gocv/cmd/facedetect-from-url# ./facedetect
How to run:
	facedetect-from-url [image URL] [classifier XML file] [image file]

root@d7b692fdda37:/gocv/cmd/facedetect-from-url# ./facedetect https://raw.githubusercontent.com/hybridgroup/gocv/master/images/face.jpg  ../../data/haarcascade_frontalface_default.xml output2.jpg

[./facedetect https://raw.githubusercontent.com/hybridgroup/gocv/master/images/face.jpg ../../data/haarcascade_frontalface_default.xml output2.jpg]
Get(imageURL)
found 1 faces
saved to output2.jpg

root@d7b692fdda37:/gocv/cmd/facedetect-from-url# ll -h
total 8.3M
drwxr-xr-x  5 root root  160 Jan  1 03:38 ./
drwxr-xr-x 31 root root  992 Jan  1 03:38 ../
-rwxr-xr-x  1 root root 8.3M Jan  1 03:36 facedetect*
-rw-r--r--  1 root root 1.9K Dec  2 11:04 main.go
-rw-r--r--  1 root root  39K Jan  1 03:38 output2.jpg
```


- 大问题：不能编译跨平台程序，因为OpenCV
    - 在Linux编译macOS程序
```shell script
root@d7b692fdda37:/gocv/cmd/showimage# CGO_ENABLED=0 GOOS=darwin GOARCH=amd64 go build main.go
# gocv.io/x/gocv
/gocv/dnn_ext.go:9:28: undefined: Mat
/gocv/dnn_ext.go:16:12: undefined: NewMatWithSize
/gocv/dnn_ext.go:42:2: undefined: Resize
/gocv/dnn_ext.go:42:38: undefined: InterpolationDefault
/gocv/dnn_ext.go:45:3: undefined: CvtColor
/gocv/dnn_ext.go:48:15: undefined: NewMat
/gocv/dnn_ext.go:51:31: undefined: MatTypeCV32F

```

================================================
FILE: 2019/12-29-Docker-OpenCV-golang-gocv/facedetect-from-url/main.go
================================================
// What it does:
//
// This example uses the CascadeClassifier class to detect faces from url,
// and draw a rectangle around each of them, before displaying them within a Window.
//
// How to run:
//
// facedetect-from-url [image URL] [classifier XML file] [image file]
//
// 		go run ./cmd/facedetect-from-url/main.go https://raw.githubusercontent.com/hybridgroup/gocv/master/images/face.jpg data/haarcascade_frontalface_default.xml output.jpg
//
// +build example

package main

import (
	"fmt"
	"image"
	"image/color"
	"io/ioutil"
	"log"
	"net/http"
	"os"

	"gocv.io/x/gocv"
)

func main() {
	if len(os.Args) < 4 {
		fmt.Println("How to run:\n\tfacedetect-from-url [image URL] [classifier XML file] [image file]")
		return
	}

	// parse args
	imageURL := os.Args[1]
	xmlFile := os.Args[2]
	saveFile := os.Args[3]
	fmt.Println(os.Args)

	// color for the rect when faces detected
	blue := color.RGBA{0, 0, 255, 0}

	// load classifier to recognize faces
	classifier := gocv.NewCascadeClassifier()
	defer classifier.Close()

	if !classifier.Load(xmlFile) {
		fmt.Printf("Error reading cascade file: %v\n", xmlFile)
		return
	}

	// get image from URL
	res, err := http.Get(imageURL)
	if err != nil {
		log.Fatal(err)
	}
	println("Get(imageURL)")

	resByte, err := ioutil.ReadAll(res.Body)
	if err != nil {
		log.Fatal(err)
	}
	img, err := gocv.IMDecode(resByte, 1)
	if err != nil {
		log.Fatal(err)
	}

	rects := classifier.DetectMultiScale(img)
	fmt.Printf("found %d faces\n", len(rects))
	// draw a rectangle around each face on the original image,
	// along with text identifing as "Human"
	for _, r := range rects {
		gocv.Rectangle(&img, r, blue, 3)

		size := gocv.GetTextSize("Human", gocv.FontHersheyPlain, 1.2, 2)
		pt := image.Pt(r.Min.X+(r.Min.X/2)-(size.X/2), r.Min.Y-2)
		gocv.PutText(&img, "Human", pt, gocv.FontHersheyPlain, 1.2, blue, 2)
	}
	gocv.IMWrite(saveFile, img)
	fmt.Printf("saved to %s\n", saveFile)
}


================================================
FILE: 2019/12-30-Docker-Puppeteer抓取动态页面/README.md
================================================
# Docker+Puppeteer抓取动态页面
- 视频 https://www.bilibili.com/video/av81253564/

### 问题
爬虫怎样抓取Js动态页面？例如电商网站的价格，销量

## 常规解决方案
安装firefox selenium python

- 问题
    - 1 安装麻烦，配置麻烦
    - 2 本地配置好了，不方便部署到服务器
    - 3 效率低下

## 解决
Docker+Puppeteer(Chrome headless node API) 

1. 自定义脚本
    - https://hub.docker.com/r/alekzonder/puppeteer

    - 下载
        - docker pull alekzonder/puppeteer

    - 运行
        - docker run --shm-size 1G --rm -v /Users/play/Temp/puppeteer/docker-puppeteer-pdf.js:/app/index.js -v /Users/play/Temp/puppeteer:/puppeteer alekzonder/puppeteer:latest
    - 查看PDF



2. 渲染中间件-动态网页
    - https://hub.docker.com/r/zenato/puppeteer-renderer
    - 源代码 https://github.com/zenato/puppeteer-renderer

- 运行
    - docker run  -it --name renderer -p 8080:3000 zenato/puppeteer-renderer

- 测试
    - curl http://localhost:8080/?url=https://ip.cn/

## Scrapy 爬虫 抓取Js动态页面
- 参考  [scrapy如何在中间件修改请求url](https://blog.csdn.net/wang785994599/article/details/97887294)
- 在middlewares.py编写中间件

```
from urllib.parse import quote
class Puppeteer(object):
    @classmethod
    def from_crawler(cls, crawler):
        # This method is used by Scrapy to create your spiders.
        s = cls(crawler)
        # crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
        return s

    def __init__(self, crawler):
        self.host = 'http://localhost:8080/?url='

    def process_request(self, request, spider):
        request.meta['url'] = request.url
        
        url = self.host + quote(request.url)
        request._set_url(url)
        pass

    def process_response(self, request, response, spider):
        response._set_url(request.meta['url'])
        return response

    pass
```

- 在settings.py 加入

```
DOWNLOADER_MIDDLEWARES = {
   'demo.middlewares.Puppeteer': 543,
}
```

- 缺点
    - 不能更改Puppeteer的UserAgent ？！！
        - 只能修改index.js 源代码


================================================
FILE: 2019/12-30-Docker-Puppeteer抓取动态页面/puppeteer/docker-puppeteer-pdf.js
================================================
/*

运行
docker run --shm-size 1G --rm -v /Users/play/Temp/puppeteer/docker-puppeteer-pdf.js:/app/index.js -v /Users/play/Temp/puppeteer:/puppeteer alekzonder/puppeteer:latest

*/

const puppeteer = require('puppeteer');

(async () => {
    const browser = await puppeteer.launch({
        args: [
            '--no-sandbox',
            '--disable-setuid-sandbox'
        ]
    });
  const page = await browser.newPage();
  await page.goto('https://ip.cn/');
  await page.waitFor(2000)
  await page.pdf({path: '/puppeteer/example.pdf'});
  await browser.close();
})();

================================================
FILE: 2019/12-31-Ubuntu-docker-puppeteer-刷B站视频播放量/README.md
================================================

# 12-31-Ubuntu-docker-puppeteer-刷B站视频播放量

- 首先在Ubuntu服务器上安装docker.io
	- 参考 https://docs.docker.com/install/linux/docker-ce/ubuntu/
	- 先更新apt缓存
		- sudo apt-get update
	
	- 添加key
	- 添加repo
	- 更新apt缓存
		- sudo apt-get update
	- 安装
		- sudo apt-get install docker-ce docker-ce-cli containerd.io
	- 测试
		- sudo docker run hello-world

- 拉取镜像
	- sudo docker pull alekzonder/puppeteer
- 上传js脚本
	- docker-h5.js
- 运行测试
	- sudo docker run --shm-size 1G --name bili -v /home/play/WORK/puppeteer/docker-h5.js:/app/index.js  alekzonder/puppeteer:latest

- 服务器定时运行
	- sudo crontab -e
		- 3 */2 * * * docker start bili
		- 每隔2小时执行


================================================
FILE: 2019/12-31-Ubuntu-docker-puppeteer-刷B站视频播放量/docker-h5.js
================================================
/**
 * Created by play on 2019/8/24.
先安装node
再运行
npm install -g puppeteer
然后
node docker-h5.js

Docker运行
docker rm bili
docker run --shm-size 1G --name bili -v /Users/play/CODE/B站刷视频/docker-h5.js:/app/index.js  alekzonder/puppeteer:latest
docker run --shm-size 1G --name bili -v /home/play/WORK/puppeteer/docker-h5.js:/app/index.js  alekzonder/puppeteer:latest

 */
Array.prototype.shuffle = function () {
    let m = this.length, i;
    while (m) {
        i = (Math.random() * m--) >>> 0;
        [this[m], this[i]] = [this[i], this[m]]
    }
    return this;
}

const puppeteer = require('puppeteer');
const main_url = 'https://space.bilibili.com/180948619/video'
const main_url2 = 'https://space.bilibili.com/180948619/video?page=2'
const main_url3 = 'https://space.bilibili.com/180948619/video?page=3'

var browser
var sel = '#bilibiliPlayer > div.bilibili-player-area.video-state-pause.video-control-show.video-state-blackside > div.bilibili-player-video-wrap > div.bilibili-player-video > video'
sel ='div.player-box > div'
// var sel2='div.bilibili-player-video'
var urls = []

async function on_response(response) {
    // console.log('response url', response.url())
    let url = response.url()

    if (url.indexOf('arc/search') > 0) {
        // let page2 = await browser.newPage();
        // await page2.setViewport({width: 1280, height: 800})
        // await page._client.send('Network.clearBrowserCookies')//TODO


        console.log('response url:', url)
        let text = await response.text()
        // console.log(text);

        let js = JSON.parse(text)
        for (let vd of js["data"]["list"]["vlist"]) {
            // console.log(vd)

            let url = 'https://www.bilibili.com/video/av' + vd["aid"]
            console.log(url)
            urls.push(url)

            console.log('---------')
            continue
        }
    }
}

async function run() {
    //const browser = await puppeteer.launch();
    browser = await puppeteer.launch({
        // headless: false,
        timeout: 20000,
        DefaultArgs:'--mute-audio',
        ignoreDefaultArgs: ['--enable-automation'],
        // executablePath: '/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome',//可注销
        //也可以改为你系统里Chrome的目录
        args: [
            '--no-sandbox',
            '--disable-setuid-sandbox'
        ]
    });

    const page = await browser.newPage();
    page.on('response', on_response)
    const client = await page.target().createCDPSession();

    await page.setViewport({width: 1280, height: 800})
    console.log("page.goto(main_url)")
    await page.goto(main_url)    
    console.log("page.waitFor(10000)")
    await page.waitFor(10000)

    // await page.goto(main_url2)//翻页
    // await page.waitFor(15000)

    // await page.goto(main_url3)//翻页
    // await page.waitFor(10000)


    // let url = 'https://www.bilibili.com/video/av56212181'


    //urls.length > 20
    urls=urls.slice(0,10)
    urls.shuffle()
    console.log('urls len:', urls.length)

    await page.setUserAgent('Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/15A372 Safari/604.1');

    for (let url of urls) {
        
        // let page2 = await browser.newPage();
        // await page2.setViewport({width: 1280, height: 800})
        try {
            console.log("clearBrowserCookies")
            await client.send('Network.clearBrowserCookies');

            await page.goto(url)
            await page.waitFor(6000);
            let title=await page.title()
            console.log('open url:', url,title)
            await page.click(sel)
            console.log("page.click('video')")

            await page.waitFor(10000);
            // await page.close()
            // await page2.waitFor(6000);
        } catch (err) {
            console.log(err)
        }

    }


    await page.waitFor(20000);

    // setTimeout()


    browser.close();
    console.log("Finished",new Date())
}

run();


================================================
FILE: 2020/1-19-TTS语音合成/README.md
================================================
## TTS 从文本到语音(TextToSpeech) 语音合成

- 视频 [想要鬼畜素材，【TTS语音合成】来帮你，哈哈哈](https://www.bilibili.com/video/av84082965)
- macos say
使用文档
man say

- 命令行
	- say 'TTS是Text To Speech的缩写，即“从文本到语音”，是人机对话的一部分，让机器能够说话。'

- 保存为文件
	- say 'TTS是Text To Speech的缩写，即“从文本到语音”，是人机对话的一部分，让机器能够说话。' -o tts.aiff

- 转成mp3
	- brew install lame
	- lame -m m tts.aiff tts.mp3

- 发音人
【系统偏好设置】>>【辅助功能】>>【语音】


2. 更好的发音系统，更多选择
- 讯飞语音
https://www.xfyun.cn/services/online_tts
- 文档
https://www.xfyun.cn/doc/tts/online_tts/API.html

demo代码写得很烂
不方便使用，需要重写




================================================
FILE: 2020/1-19-TTS语音合成/讯飞语音/config.py
================================================
# -*- coding: utf-8 -*-
# @Time    : 2020-01-18 20:29
# @File    : config.py


"""
config.py:
"""

APPID = 'xxx'
APIKey = 'xxxxxx'
APISecret = 'xxxxxx'


================================================
FILE: 2020/1-19-TTS语音合成/讯飞语音/tts_ws_python3_demo.py
================================================
# -*- coding:utf-8 -*-
#
# 播放  /Applications/VLC.app/Contents/MacOS/VLC --demux=rawaud --rawaud-channels 1 --rawaud-samplerate 16000  demo.pcm
# 转换格式 ffmpeg -y -f s16be  -ar 16000 -acodec pcm_s16le -i  demo2.pcm demo22.mp3
#   author: iflytek
#
#  本demo测试时运行的环境为：Windows + Python3.7
#  本demo测试成功运行时所安装的第三方库及其版本如下：
#   cffi==1.12.3
#   gevent==1.4.0
#   greenlet==0.4.15
#   pycparser==2.19
#   six==1.12.0
#   websocket==0.2.1
#   websocket-client==0.56.0
#   合成小语种需要传输小语种文本、使用小语种发音人vcn、ent=mtts、tte=unicode以及修改文本编码方式
#  错误码链接：https://www.xfyun.cn/document/error-code （code返回错误码时必看）
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
import websocket
import datetime
import hashlib
import base64
import hmac
import json
from urllib.parse import urlencode
import time
import ssl
from wsgiref.handlers import format_date_time
from datetime import datetime
from time import mktime
import _thread as thread
import os
import wave

STATUS_FIRST_FRAME = 0  # 第一帧的标识
STATUS_CONTINUE_FRAME = 1  # 中间帧标识
STATUS_LAST_FRAME = 2  # 最后一帧的标识


class Ws_Param(object):
    # 初始化
    def __init__(self, APPID, APIKey, APISecret, Text):
        self.APPID = APPID
        self.APIKey = APIKey
        self.APISecret = APISecret
        self.Text = Text

        # 公共参数(common)
        self.CommonArgs = {"app_id": self.APPID}
        # 业务参数(business)，更多个性化参数可在官网查看
        self.BusinessArgs = {"aue": "raw", "auf": "audio/L16;rate=16000", "vcn": "xiaoxue", "tte": "utf8", "ent": "aisound"}
        self.Data = {"status": 2, "text": str(base64.b64encode(self.Text.encode('utf-8')), "UTF8")}
        # 使用小语种须使用以下方式，此处的unicode指的是 utf16小端的编码方式，即"UTF-16LE"”
        # self.Data = {"status": 2, "text": str(base64.b64encode(self.Text.encode('utf-16')), "UTF8")}

        #
        self.url = self.create_url()

    # 生成url
    def create_url(self):
        url = 'wss://tts-api.xfyun.cn/v2/tts'
        # 生成RFC1123格式的时间戳
        now = datetime.now()
        date = format_date_time(mktime(now.timetuple()))

        # 拼接字符串
        signature_origin = "host: " + "ws-api.xfyun.cn" + "\n"
        signature_origin += "date: " + date + "\n"
        signature_origin += "GET " + "/v2/tts " + "HTTP/1.1"
        # 进行hmac-sha256进行加密
        signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
                                 digestmod=hashlib.sha256).digest()
        signature_sha = base64.b64encode(signature_sha).decode(encoding='utf-8')

        authorization_origin = "api_key=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"" % (
            self.APIKey, "hmac-sha256", "host date request-line", signature_sha)
        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
        # 将请求的鉴权参数组合为字典
        v = {
            "authorization": authorization,
            "date": date,
            "host": "ws-api.xfyun.cn"
        }
        # 拼接鉴权参数，生成url
        url = url + '?' + urlencode(v)
        print("date: ", date)
        print("v: ", v)
        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致
        print('websocket url :', url)
        
        return url


def on_message(ws, message):
    try:
        message = json.loads(message)
        code = message["code"]
        sid = message["sid"]
        audio = message["data"]["audio"]
        audio = base64.b64decode(audio)
        status = message["data"]["status"]
        # print(message)
        if status == 2:
            print("ws is closed")
            ws.close()
        if code != 0:
            errMsg = message["message"]
            print("sid:%s call error:%s code is:%s" % (sid, errMsg, code))
        else:

            with open('./demo333.pcm', 'ab') as f:#用追加的模式写入语音
                f.write(audio)


    except Exception as e:
        print("receive msg,but parse exception:", e)


# 收到websocket错误的处理
def on_error(ws, error):
    print("### error:", error)


# 收到websocket关闭的处理
def on_close(ws):
    print("### closed ###")


# 收到websocket连接建立的处理
def on_open(ws):
    def run(*args):
        # TODO while true
        d = {"common": wsParam.CommonArgs,
             "business": wsParam.BusinessArgs,
             "data": wsParam.Data,
             }
        d = json.dumps(d)
        print(d)
        print("------>开始发送文本数据")
        ws.send(d)
        if os.path.exists('./demo.pcm'):
            os.remove('./demo.pcm')

    thread.start_new_thread(run, ())


if __name__ == "__main__":
    # 测试时候在此处正确填写相关信息即可运行
    text = '苹果中国宣布iPad降价：最高降幅达500元'

    from config import APIKey, APISecret, APPID
    wsParam = Ws_Param(APPID=APPID,
                       APIKey=APIKey,
                       APISecret=APISecret,
                       Text=text)  # "这是一个语音合成示例"
    websocket.enableTrace(True)
    wsUrl = wsParam.create_url()
    print('wsUrl:', wsUrl)

    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close)
    ws.on_open = on_open
    ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})


================================================
FILE: 2020/1-19-TTS语音合成/讯飞语音/xf_service.py
================================================
# -*- coding: utf-8 -*-
# @Time    : 2020-01-18 20:25
# @File    : xf_service.py


"""
xf_service.py:
"""

# import websocket
from websocket import create_connection
import datetime
import hashlib
import base64
import hmac
import json
from urllib.parse import urlencode
import os
from wsgiref.handlers import format_date_time
from datetime import datetime
from time import mktime


class XFtts(object):
    # 初始化
    def __init__(self, APPID, APIKey, APISecret, ):
        self.APPID = APPID
        self.APIKey = APIKey
        self.APISecret = APISecret
        # self.Text = Text

        # 公共参数(common)
        self.CommonArgs = {"app_id": self.APPID}
        # 业务参数(business)，更多个性化参数可在官网查看
        self.BusinessArgs = {"aue": "raw", "auf": "audio/L16;rate=16000", "vcn": "xiaoxue", "tte": "utf8", "ent": "aisound"}#TODO
        # self.Data = {"status": 2, "text": str(base64.b64encode(self.Text.encode('utf-8')), "UTF8")}

        # 使用小语种须使用以下方式，此处的unicode指的是 utf16小端的编码方式，即"UTF-16LE"”
        # self.Data = {"status": 2, "text": str(base64.b64encode(self.Text.encode('utf-16')), "UTF8")}

        #
        self.url = self.create_url()

    # 生成url
    def create_url(self):
        url = 'wss://tts-api.xfyun.cn/v2/tts'
        # 生成RFC1123格式的时间戳
        now = datetime.now()
        date = format_date_time(mktime(now.timetuple()))

        # 拼接字符串
        signature_origin = "host: " + "ws-api.xfyun.cn" + "\n"
        signature_origin += "date: " + date + "\n"
        signature_origin += "GET " + "/v2/tts " + "HTTP/1.1"
        # 进行hmac-sha256进行加密
        signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
                                 digestmod=hashlib.sha256).digest()
        signature_sha = base64.b64encode(signature_sha).decode(encoding='utf-8')

        authorization_origin = "api_key=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"" % (
            self.APIKey, "hmac-sha256", "host date request-line", signature_sha)
        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
        # 将请求的鉴权参数组合为字典
        # authorization='YXBpX2tleT0iODc1YmQ5OGNmOTJmZTE0OGQxNDU5ODFiZjZmNGJhMGEiLCBhbGdvcml0aG09ImhtYWMtc2hhMjU2IiwgaGVhZGVycz0iaG9zdCBkYXRlIHJlcXVlc3QtbGluZSIsIHNpZ25hdHVyZT0ia3RlelJoV2lMS2tvbW9rbXcxZDhvZ1Q5WE5Obld1ZWhqcjFWUVhleFZkTT0i'
        v = {
            "authorization": authorization,
            "date": date,
            "host": "ws-api.xfyun.cn"
        }
        # 拼接鉴权参数，生成url
        url = url + '?' + urlencode(v)
        # print("date: ", date)
        # print("v: ", v)
        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致
        # print('websocket url :', url)
        # url='wss://tts-api.xfyun.cn/v2/tts?authorization=YXBpX2tleT0iODc1YmQ5OGNmOTJmZTE0OGQxNDU5ODFiZjZmNGJhMGEiLCBhbGdvcml0aG09ImhtYWMtc2hhMjU2IiwgaGVhZGVycz0iaG9zdCBkYXRlIHJlcXVlc3QtbGluZSIsIHNpZ25hdHVyZT0iU0hnZ1lLa2c4Y0xUV25BdTNTNGkwak90YzhYNnM1WENrTFFIUHRLekc0VT0i&date=Sat,%2004%20Jan%202020%2004:19:03%20GMT&host=ws-api.xfyun.cn'
        return url

    def say(self, sentens,speaker='xiaoxue'):#发音人
        print(sentens)
        text = str(base64.b64encode(sentens.encode('utf-8')), "UTF8")
        # print(text)
        self.BusinessArgs['vcn']=speaker

        Data = {"status": 2, "text": text}
        d = {"common": self.CommonArgs,
             "business": self.BusinessArgs,
             "data": Data,
             }#传参
        dt = json.dumps(d)
        print(d)
        # if not ws.connected:
        #     print('重新连接ws')
        #     # uri = wsParam.create_url()
        #     ws = create_connection(uri)
        ws = create_connection(self.create_url())
        ws.send(dt)
        print('-' * 30)

        print('接收信息')
        audiosum = bytes()
        while True:
            message = ws.recv()
            # print(message)
            try:
                message = json.loads(message)
                code = message["code"]
                sid = message["sid"]
                audio = message["data"]["audio"]
                audio = base64.b64decode(audio)
                status = message["data"]["status"]

                if status == 2:
                    audiosum += audio

                    print("ws is closed")
                    ws.close()

                    # wav_path = f'./wav-{index}.wav'
                    # wav_path = f'{dir}/{index}.wav'
                    # with wave.open(wav_path, 'wb') as wavfile:
                    #     wavfile.setparams((1, 2, 16000, 0, 'NONE', 'NONE'))
                    #     wavfile.writeframes(audiosum)  # TODO byteIO ？
                    # print('写入 ', wav_path)
                    # rsd[index] = {'sentens': sentens, 'file': wav_path}

                    return audiosum
                    # break

                if code != 0:
                    errMsg = message["message"]
                    print("sid:%s call error:%s code is:%s" % (sid, errMsg, code))
                else:
                    audiosum += audio
                    continue

            except Exception as e:
                print("receive msg,but parse exception:", e)

        pass


def tts_say_wave(wav_path,text):
    import wave
    from config import APIKey, APISecret, APPID
    wsParam = XFtts(APPID=APPID,
                    APIKey=APIKey,
                    APISecret=APISecret, )
    
    audiosum = wsParam.say(text)
    
    # audiosum += audio
    with wave.open(wav_path, 'wb') as wavfile:
        wavfile.setparams((1, 2, 16000, 0, 'NONE', 'NONE'))
        wavfile.writeframes(audiosum)
    print('写入 ', wav_path)

    pass


def main():
    wav_path = f'test1.wav'
    text = '而除了靠免费盗版片获取流量，以广告等方式变现的途径外，更直接的盈利方式就是直接售卖盗版资源。2019年4月，媒体报道称河南公安机关已打击2个制作销售高清盗版电影的犯罪团伙，截止案发，这2个团伙共制作盗版影片320余部，初步估算非法获利700余万元。'
    tts_say_wave(wav_path,text)
    pass


if __name__ == '__main__':
    main()


================================================
FILE: 2020/1-20-hacker-tools/README.md
================================================
## Docker黑客工具
- 视频:[一行命令让你成为黑客高手！！！Docker黑客工具](https://www.bilibili.com/video/av84227396/)

- https://hub.docker.com/r/veerendrav2/hacker-tools
- 下载
	- docker pull veerendrav2/hacker-tools
- 启动
	- 	docker run -it --rm --net=host --privileged  veerendrav2/hacker-tools

	-  启动squid代理
	-  	docker run  -it --rm -p 3128:3128  datadog/squid
	-  docker exec -it 1bff576f3afc /bin/bash
- 测试
 	-   traceroute baidu.com
	-   ping 172.17.0.2
	-   nmap 172.17.0.2

================================================
FILE: 2020/1-3-特朗普-推特-截图/README.md
================================================
# 特朗普-推特-截图

- 首先要使用代理
    - args: ['--proxy-server=127.0.0.1:8118'],
- 然后page.goto(main_url)
- 使用selector获取【推文】元素
- 截图

================================================
FILE: 2020/1-3-特朗普-推特-截图/twitter_screenshot1.js
================================================
/*

要使用代理执行
*/
const puppeteer = require('puppeteer');
var main_url='https://twitter.com/realDonaldTrump'


async function run() {
    //const browser = await puppeteer.launch();
    browser = await puppeteer.launch({
        headless: false,
        timeout: 20000,
        DefaultArgs:'--mute-audio',
        ignoreDefaultArgs: ['--enable-automation'],
        executablePath: '/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome',//可注销
        //也可以改为你系统里Chrome的目录

        ignoreHTTPSErrors: true,
        args: ['--proxy-server=127.0.0.1:8118'],
    });

    const page = await browser.newPage();
        await page.setViewport({width: 1280, height: 1000})
        await page.goto(main_url)
    console.log('page.waitFor(10000)')
    await page.waitFor(4000)

// const element = await page.$("body");
//   await element.screenshot({
//     path: "screenshot.png"
//   });

  // let elements=document.querySelectorAll('div > article')
  console.log('kaishi截图')
  let elements=await page.$$('#stream-items-id > li')
  console.log('截图',elements.length)
  for (var i = 0; i < elements.length; i++) {  
        console.log(i);  
        await elements[i].screenshot({
    path: i+"_screenshot.png"
  });

        await page.waitFor(1000)
    }  


// elements.forEach(async function(element,index){
//     console.log(index)
//     await element.screenshot({
//     path: index+"_screenshot.png"
//   });
// })
    console.log('page.waitFor(2000);')
    await page.waitFor(200000);

    // setTimeout()


    browser.close();
}

run();

================================================
FILE: 2020/10-9-weShare-ink-display/README.md
================================================
## 微雪-墨水屏-编程

## 视频
- [微雪墨水屏-Arduino编程，ESP32 支持WiFi和蓝牙](https://www.bilibili.com/video/BV1yz4y1C7Y8/)

## 购买
- 淘宝，运费6元
    - [微雪 墨水屏裸屏驱动板 SPI接口 ESP32 ESP8266 支持WIFI/蓝牙](https://s.click.taobao.com/t?e=m%3D2%26s%3DLWwjUCPQv2QcQipKwQzePOeEDrYVVa64K7Vc7tFgwiHjf2vlNIV67trmiN9ZoeYrZW7hPg9HazilldgrEKAMDZqHHjUPN5fPvcXgLQcnSPhUUJCbLNYEnHJi6DFpZGNc%2Bht3wBcxEojg%2BvVPtZxVh1vzY1gj2%2FS51m%2FRykadurUYtE6uZJaO3HEqY%2Bakgpmw&scm=null&pvid=null&app_pvid=59590_11.88.32.203_568_1602231743720&ptl=floorId%3A17741&originalFloorId%3A17741&app_pvid%3A59590_11.88.32.203_568_1602231743720&union_lens=lensId%3APUB%401602231720%400b1a25df_d9d4_1750c73d849_2645%40026UvXKptoe9OnJOZeqXA9tB)
        -  e-Paper ESP32 Driver Board
    - [微雪 4.2寸墨水屏裸屏 电子纸 显示模块  红黑白三色 兼容树莓派4](https://s.click.taobao.com/t?e=m%3D2%26s%3Dgu%2FRd0bRTGkcQipKwQzePOeEDrYVVa64K7Vc7tFgwiHjf2vlNIV67ogRc0DrYpkvFfrEfJ4hp2qlldgrEKAMDZqHHjUPN5fPvcXgLQcnSPhUUJCbLNYEnHJi6DFpZGNc%2Bht3wBcxEojg%2BvVPtZxVh1vzY1gj2%2FS51m%2FRykadurUDBRIF6NDIT3EqY%2Bakgpmw&scm=null&pvid=null&app_pvid=59590_11.26.37.22_555_1602231877211&ptl=floorId%3A17741&originalFloorId%3A17741&app_pvid%3A59590_11.26.37.22_555_1602231877211&union_lens=lensId%3APUB%401602231873%400b14eca8_ae89_1750c763150_4d4c%40027HYB50teMJ7vU6A8SsikWj)

- 资料
    - https://www.waveshare.net/wiki/E-Paper_ESP32_Driver_Board
        - 根据这个指南，安装软件和驱动
        - 下载案例 E-Paper_ESP32_Driver_Board_Code
    - 外国参考 https://www.hackster.io/vitorio/e-paper-name-tag-2d22cc
- 步骤
    - Windows 7 安装 Arduino IDE
    - 在GitHub下载 [Arduino-ESP32 支持包](https://codeload.github.com/espressif/arduino-esp32/zip/master) 驱动，放在hardware文件夹，新建子文件夹
    - 使用管理员权限打开cmd

```
cd C:\Program Files (x86)\Arduino\hardware\espressif\esp32\tools
C:\Program Files (x86)\Arduino\hardware\espressif\esp32\tools>get.exe
System: Windows, Info: Windows-7-6.1.7601-SP1
Platform: i686-mingw32
Downloading xtensa-esp32-elf-win32-1.22.0-80-g6c4433a-5.2.0.zip
Done
Extracting xtensa-esp32-elf-win32-1.22.0-80-g6c4433a-5.2.0.zip
Downloading esptool-2.6.1-windows.zip
Done
Extracting esptool-2.6.1-windows.zip
Downloading mkspiffs-0.2.3-arduino-esp32-win32.zip
Done
Extracting mkspiffs-0.2.3-arduino-esp32-win32.zip
Renaming mkspiffs-0.2.3-arduino-esp32-win32/ to mkspiffs
Done
```
## WiFi案例
- 然后打开ArduinoIDE
    - 打开WiFi案例，编译，上传
    - 编译完后，马上长按boot键
    - 等上传完毕，松开
    - 打开串口后台，波特率:115200
    - 按下EN键，连接WiFi
    - 串口显示IP
    - 浏览器登录http://192.168.1.104/
    - 上传图片
        - 尺寸 4.2b ? c ?

- 串口输出
```
ets Jun  8 2016 00:22:57

rst:0x1 (POWERON_RESET),boot:0x13 (SPI_FAST_FLASH_BOOT)
configsip: 0, SPIWP:0xee
clk_drv:0x00,q_drv:0x00,d_drv:0x00,cs0_drv:0x00,hd_drv:0x00,wp_drv:0x00
mode:DIO, clock div:1
load:0x3fff0018,len:4
load:0x3fff001c,len:1216
ho 0 tail 12 room 4
load:0x40078000,len:10864
load:0x40080400,len:6432
entry 0x400806b8


Connecting to Pro
.
WiFi connected
Server started
192.168.1.104

Ok!

```

## 蓝牙案例
- 跟WiFi案例相同，编译上传固件
    - 在案例文件夹里找到app-release.apk，上传到手机安装
    - 手机蓝牙，连接电子纸驱动板
    - 打开App，上传图片

## macOS系统
- 安装驱动很麻烦，不支持，不推荐使用macOS
```
I found that macOS High Sierra has blocked the SiLabs kernel extension.

Here are steps to allow this extension:

Go to "System Preferences" -> "Security & Privacy"
In the bottom of the window, you will see a message "System software from developer "SiLabs" was blocked from loading."
Click on "Allow" button
Restart your Mac
Now my device is listed as /dev/cu.SLAB_USBtoUART and everything work as expected.
```

## 售后
- 微雪客服，技术支持工程师
```
EMAIL：2355742828@qq.com
电话：0755-83040712
QQ： 2355742828
```

================================================
FILE: 2020/11-25-use-Search-engine/README.md
================================================
# 怎样使用搜索引擎

- 视频 [【实践】怎样使用搜索引擎？代替Google](https://www.bilibili.com/video/BV1UD4y1X7xm/)

## 国内
- 不要使用百度
- 使用微软bing
    - https://cn.bing.com/
    - 能搜到大部分信息

- 其他搜索引擎
    - 平时我都不用
    - 只能搜索到部分信息
    - 搜狗
        - 用来搜微信公众号
    - 360
        - 绑定在360浏览器，设置其他搜索引擎非常麻烦，让你放弃，老老实实使用360搜索

## 国外
- Google
    - https://www.google.com/ 不能访问
    - http://www.google.cn/
        - 会调整到http://www.google.com.hk/webhp?hl=zh-CN&sourceid=cnhp
            - 打不开
        - 用来下载 Chome 和 Google Earth 
            - http://www.google.cn/chrome/
            - http://www.google.cn/intl/zh-CN/earth/
        - 翻译 https://translate.google.cn/?hl=zh-CN
    - https://www.google.com.hk 
        - 打不开
- https://duckduckgo.com/
     - 打不开   

## 代替 Google
- 雅虎搜索
- AOL搜索
    - https://search.aol.com/
- 俄罗斯
    - https://yandex.com/
- 捷克
    - https://search.centrum.cz/
    - 推荐使用这个，因为它使用Google的结果
    - 有验证码

## 搭建网站
- https://github.com/makelove/whoogle-search
    - 没有广告
    - 没有跟踪/链接您的个人IP地址
    - 易于安装/部署
        - [Heroku快速部署](https://heroku.com/about)

================================================
FILE: 2020/12-17-Azure-server-free/README.md
================================================
## 免费Azure服务器

- 视频 [【亲测有效】申请微软Azure服务器免费12个月](https://www.bilibili.com/video/BV12p4y1q7t7/)

- 参考
    - [申请微软Azure服务免费12个月+$200 额度+永久免费(25+项服务)](https://www.daniao.org/7057.html)
        - 首月送200美金，10T流量随意用
        - vps免费资源为1G内存/40G空间/15G月流量，持续一年。
        - 套路
            - 需要试用完200美元或者过了30天后，必须升级即用即付后，才能享受12个月免费服务
            - 免费12个月期间，如果产生扣费（比如流量超了）会在下个月账单中直接信用卡扣费。
            - 免费12个月到期后，订阅不会停止，已开通的免费资源会直接产生扣费
- 注册
    - 活动 [通过 12 个月的免费服务开始使用](https://azure.microsoft.com/zh-cn/free/)
    - 一张信用卡，验证卡的时候扣费1美刀！（VISA或者万事达，且没有激活过其他账号）
- 创建虚拟机vps
    - 选择配置的时候一定要选择标准 B1s这个配置
        - 只有它才免费
    - 创建用户时，建议使用 【ssh密钥】，到时登录不需要密码，很方便
    - 创建完成后
        - 【网络】添加【入站端口】
    - 登录服务器
        - ssh 【你的账号】@【你的IP】
            - ssh ms@168.62.xxx.xxx
- 翻墙
    - Nginx反向代理
    - Squid代理
        - 用来做爬虫
        - 参考 
            - 搭建 https://www.linuxidc.com/Linux/2019-08/159960.htm
            - squid搭建高匿名代理服务 https://www.jianshu.com/p/96c8f1f7fd17
        - 测试
            - curl -x 你的IP:3128 http://httpbin.org/ip
    - SSR
        - 比较复杂
        - 微软发公告禁止翻墙
    - ssh 隧道
        - 最简单
        - 先登录服务器 ssh -f -NC -D 2345 ms@168.62.xxx.xxx
            - sock5代理，端口是2345
            - 然后在Chrome浏览器的【Proxy SwitchyOmega】插件设置代理
                - 代理协议是SOCKS5,IP是127.0.0.1，端口是2345
            - 测试
                - curl --socks5 localhost:2345 http://httpbin.org/ip

- Python 虚拟环境
    - sudo apt-get install python3-pip
    - pip3 install virtualenv
    - virtualenv  -p /usr/bin/python3.6 .py3
    - 把source ~/.py3/bin/activate 
        - 加到~/.bashrc末尾
        - 这样，每次登录服务器，就能自动使用Python 虚拟环境
        
- YouTube视频
    - pip3 install youtube_dl
    - sudo apt  install ffmpeg
    - pip3 install python-ffmpeg-video-streaming
    - 下载视频
        - 从服务器到本机
            - 使用Nginx
                - sudo ln -s /home/ms/video/ /var/www/html/video
                - 修改Nginx配置，添加【目录遍历】
                    - 参考 https://blog.csdn.net/ddazz0621/article/details/85338671
                - 打开 http://服务器IP/video/
            - 可以使用ftp，比较慢
            - 使用Flask ，比较快，1 m/s
                - response=send_file(fp,as_attachment=True,attachment_filename=filename)
    - 使用m3u8在线观看，hls流式播放
        - https://github.com/newnewcoder/flask-hls-demo
        - https://github.com/aminyazdanpanah/python-ffmpeg-video-streaming
        - 问题，ts文件大，网速慢，体验差
```
(.py3) ms@f1:~/video$ youtube-dl https://www.youtube.com/watch?v=79aP7BhrbuI
[youtube] 79aP7BhrbuI: Downloading webpage
[youtube] 79aP7BhrbuI: Downloading MPD manifest
[download] Destination: The world's top 10 ultimate travel experiences-79aP7BhrbuI.mp4
[download] 100% of 29.18MiB in 00:01
```
- Google Earth Studio
    - 翻墙后，配置Chrome浏览器的【Proxy SwitchyOmega】插件
        - 打开 https://earth.google.com/studio/
        - 需要申请，很快通过，当天
        - 新建工程，然后调整视角，地点
        - 渲染，它会自动导出高分辨率的图片到你的电脑
            - 然后使用【视频剪辑软件】合并成视频
                - 使用FFmpeg命令行
                    - 参考 https://blog.csdn.net/wangshuainan/article/details/77914508
                    - ffmpeg  -i  测试1_%03d.jpeg -vcodec libx264 -r 30  test.mp4
                        - 【测试1】 为工程名称
                        - 图片：测试1_441.jpeg
                        - -r 30 帧率
                        - -vcodec libx264 编码器
                        - 视频[【测试】Google Earth Studio 样片，使用ffmpeg合成，无声](https://www.bilibili.com/video/BV1yp4y1q7Nw/)

                - 使用moviepy
                

================================================
FILE: 2020/12-19-password-generator/README.md
================================================
## Python密码生成器

- 视频 [Python密码生成器，轻松实现](https://www.bilibili.com/video/BV1sf4y1e7gk/)

- 参考
    - https://github.com/redacted/XKCD-password-generator
    - https://pypi.org/project/random-password-generator/
    - https://github.com/PyLamGR/PyVault

- 代码
    - [password.py](password.py)
- 需求
    - 1.很多网站App，新建账号时需要添加密码
    - 2.简单密码不安全
    - 3.在多个网站使用同一个密码，也不安全
    - 4.创建密码后，使用Excel或密码管理器1password保存
    - 5.Chrome浏览器自带密码管理

================================================
FILE: 2020/12-19-password-generator/password.py
================================================
# -*- coding: utf-8 -*-
# @Time    : 2020/12/19 13:29
# @File    : password.py


"""
password.py:
password-generator
快捷方式
alias pw='python3 /Users/play/CODE/Python_Test/密码生成器/password.py'
"""

import sys
import random, string


def 不重复(size=6, chars=string.ascii_letters + string.digits):
    pw = ''
    for _ in range(size):
        x = random.choice(chars)
        pw += x
        chars = chars.replace(x, '')
        pass
    return pw


def random_string_generator(size=6, chars=string.ascii_letters + string.digits):
    return ''.join(random.choice(chars) for _ in range(size))


def main(size):
    # return random_string_generator(size)
    return 不重复(size)
    pass


if __name__ == '__main__':
    if len(sys.argv) > 1:
        num = int(sys.argv[1])
    else:
        num = 8

    if num > 62:
        print('长度太大')
    else:
        rs = main(num)
        print(rs)


================================================
FILE: 2020/12-21-python-hosts/README.md
================================================

## 用来翻墙

- 视频 [Python 工具库python-hosts的使用](https://www.bilibili.com/video/BV1y5411G7Kj/)
- 代码
    - [add-host-ip.py](add-host-ip.py)

- 怎样修改域名+IP，打开国外网站更流畅？
    - 查询 全球DNS
        - https://www.gdnspc.com/
        - 国内 https://www.ping.cn/dns
            - [拨号API接口](https://www.ping.cn/api)
    - 获取 服务器IP
        - 把curl转成Python Requests代码
            - https://curl.trillworks.com/
    - 检查本地能否连接该IP
        - [python requests toolbelt 工具带的使用](https://www.bilibili.com/video/BV1rh411Z73N/)
    - 写入/etc/hosts
    
- 参考
    - https://github.com/jonhadfield/python-hosts
    - 解析/etc/hosts
        - 可以添加或删除【 IP+domain】映射

================================================
FILE: 2020/12-21-python-hosts/add-host-ip.py
================================================
# -*- coding: utf-8 -*-
# @Time    : 2020/12/21 11:56
# @File    : add-host-ip.py


"""
add-host-ip.py:
自动添加/etc/hosts 域名绑定IP
"""

import requests


def 查询全球DNS(host):
    import requests


    headers = {
        'authority': 'www.gdnspc.com',
        'sec-ch-ua': '"Google Chrome";v="87", " Not;A Brand";v="99", "Chromium";v="87"',
        'accept': 'application/json, text/javascript, */*; q=0.01',
        'dnt': '1',
        'x-requested-with': 'XMLHttpRequest',
        'sec-ch-ua-mobile': '?0',
        'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36',
        'sec-fetch-site': 'same-origin',
        'sec-fetch-mode': 'cors',
        'sec-fetch-dest': 'empty',
        'referer': 'https://www.gdnspc.com/',
        'accept-language': 'zh-CN,zh;q=0.9,en-US;q=0.8,en;q=0.7',
        'cookie': '__cfduid=d7f182d3c5a68e71c2a9902c472e8a3631608433922; _ga=GA1.2.1900327867.1608433937; _gid=GA1.2.337357370.1608433937; __gads=ID=6af39aca34d98035-22caac9a43c50018:T=1608433936:RT=1608433936:S=ALNI_MaE5H6FI7G_xbl_V_rJex291IiUkw; PHPSESSID=468b4c4c7f252da4308788b995996134',
    }


    params = (
            ('s', '162'),
            ('t', 'A'),
            ('q', 'raw.githubusercontent.com'),
            ('k', 'AyaEUoRPnk5yximSDQFBow2FGoM91qP1'),
            ('r', '1608534545-CFbFIYp4MCn78Beb'),
        )

    response = requests.get('https://www.gdnspc.com/api/checker', headers=headers, params=params)
    js = response.json()
    return js['result'][0]['record']

    pass
def 查询全球DNS2(host):
    headers = {
        'authority': 'www.whatsmydns.net',
        'sec-ch-ua': '"Google Chrome";v="87", " Not;A Brand";v="99", "Chromium";v="87"',
        'accept': 'application/json, text/plain, */*',
        'dnt': '1',
        'sec-ch-ua-mobile': '?0',
        'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36',
        'sec-fetch-site': 'same-origin',
        'sec-fetch-mode': 'cors',
        'sec-fetch-dest': 'empty',
        'referer': 'https://www.whatsmydns.net/',
        'accept-language': 'zh-CN,zh;q=0.9,en-US;q=0.8,en;q=0.7',
        'cookie': '__cfduid=dd845ca2c0dae8ef04fade64da42aa53d1608433918; _ga=GA1.2.864067538.1608433921; _gid=GA1.2.1694506165.1608433921; __gads=ID=7c02c0ed2adccebb:T=1608527151:S=ALNI_MYn8MpuX26lqec-GtWHF_fWoSR1qA; _gat=1',
    }

    params = (
        ('server', '343'),
        ('type', 'A'),
        ('query', host,),  # 'hide.me'
    )

    response = requests.get('https://www.whatsmydns.net/api/details', headers=headers, params=params)
    js = response.json()
    return js['data'][0]['response'][0] #js['result'][0]['record']

    pass


import socket


def 检查本地能否连接该IP(ip, host):  # OK
    from requests.exceptions import ConnectTimeout,ConnectionError
    from requests_toolbelt.adapters import host_header_ssl
    s = requests.Session()
    s.mount('https://', host_header_ssl.HostHeaderSSLAdapter())

    headers = {
        "Host": host,
        'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36',
    }
    # rs = s.get("https://"+ip, headers={"Host": host})
    try:
        rs = s.get(f"https://{ip}/", headers=headers, timeout=4, verify=False,allow_redirects=False)
        print(rs.status_code, rs.headers)

    except ConnectTimeout as e:
        return False
    except Exception as e:
        print(e)


    return True

    pass


def 检查本地能否连接该IP1(ip):
    # import socket
    # s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    # try:
    #     s.connect((ip, 80))
    #     print("Port 80 reachable")
    # except socket.error as e:
    #     print("Error on connect: %s" % e)
    # s.close()
    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
        try:
            s.connect((ip, 80))
            print("Port 80 reachable")
            return True
        except socket.error as e:
            print("Error on connect: %s" % e)
            return False


def 检查本地能否连接该IP2(ip):
    try:
        socket.gethostbyaddr(ip)
    except socket.herror:
        print(u"Unknown host 连接不上")
        return False
    return True
    pass


def main(url):
    # 查询 全球DNS
    # 获取 服务器IP
    from urllib.parse import urlparse
    host = urlparse(url).netloc
    print('host:',host)
    ip = 查询全球DNS(host)
    # 检查本地能否连接该IP
    print('检查本地能否连接该IP')
    print('-'*40)
    tf = 检查本地能否连接该IP(ip, host)
    print('-'*40)
    # ip='151.101.124.133'
    # tf=True

    # 写入/etc/hosts
    if tf:
        print('写入/etc/hosts')
        # Root 用户
        from python_hosts import Hosts, HostsEntry
        hosts = Hosts(path='/etc/hosts')
        new_entry = HostsEntry(entry_type='ipv4', address=ip, names=[host])
        hosts.add([new_entry])
        hosts.write()
        pass
    else:
        print('该IP不能连接', ip)
    pass


if __name__ == '__main__':
    import sys

    if len(sys.argv) > 1:
        url = sys.argv[1]
        main(url)
    else:
        print('添加url')

    # 检查本地能否连接该IP('8.7.198.46', 'google.com')
    # 检查本地能否连接该IP('174.138.52.82', 'hide.me')
    # 检查本地能否连接该IP('151.101.52.133', 'raw.githubusercontent.com')


================================================
FILE: 2020/12-21-requests-toolbelt/README.md
================================================
## python requests toolbelt 工具带的使用

- 视频 [python requests toolbelt 工具带的使用](https://www.bilibili.com/video/BV1rh411Z73N/)


- 步骤
    - 1.Request请求绑定 网卡IP
    - 2.Request请求绑定 目标服务器IP



- 参考
    - https://stackoverflow.com/questions/28773033/python-requests-how-to-bind-to-different-source-ip-for-each-request
    - https://github.com/psf/requests/issues/394
    - 官方文档
        - https://toolbelt.readthedocs.io/en/latest/user.html


================================================
FILE: 2020/12-22-PyGithub/README.md
================================================
## Github API 的使用-PyGithub

- 视频 [Github API 的使用-PyGithub](https://www.bilibili.com/video/BV1fh411Z777/)

- 参考
    - 第一个例子 [How to Use Github API in Python](https://www.thepythoncode.com/article/using-github-api-in-python)
    - [PyGithub](https://github.com/PyGithub/PyGithub)
        - [文档](https://pygithub.readthedocs.io/en/latest/introduction.html)
        - [Examples例子代码](https://pygithub.readthedocs.io/en/latest/examples.html)

    - [使用 Python3 编写 Github 自动周报生成器](https://www.jianshu.com/p/a0af604b3d97)
    - 不错 [使用GitHub API和Python可以做的所有事情](https://towardsdatascience.com/all-the-things-you-can-do-with-github-api-and-python-f01790fca131) 要翻墙
    - [Rate limit
](https://docs.github.com/en/free-pro-team@latest/rest/reference/rate-limit)
        - [创建个人token](https://github.com/settings/tokens)

================================================
FILE: 2020/12-4-chrome-enable-network-request-blocking/README.md
================================================

## 创建Chrome扩展程序以阻止网站请求
- 视频 [【经验】开发Chrome插件，浏览器禁止某些网络请求，更快加载国外的网站](https://www.bilibili.com/video/BV1TT4y1M72r/)  

- 代码
    - [Chrome Request Blocker Extension](https://github.com/clupasq/ChromeHttpRequestBlocker)
    
- 参考
    - Chrome Dev tool  
        - > opening the 3-dot-menu at the top right of the dev tools 
        - >> More tools 
        - >>> Request blocking
    - https://stackoverflow.com/questions/18158297/blocking-request-in-chrome
    - [BlockIt - Chrome extension to block requests](https://www.codeproject.com/Articles/1179350/BlockIt-Chrome-extension-to-block-requests)
    - [创建一个简单的扩展程序以阻止网站](https://ops.tips/blog/extension-to-block-websites/)

================================================
FILE: 2020/12-5-flask-ffmpeg-m3u8/README.md
================================================
## Python编程，Flask网站播放m3u8流媒体

- 视频 [【Python编程】Flask网站播放m3u8流媒体](https://www.bilibili.com/video/BV15K4y1L7nF/)

- 步骤
    - FFmpeg切割视频，ts
    - m3u8指向ts段文件
    - 在浏览器端使用hls.js播放视频
- 代码
    - https://github.com/newnewcoder/flask-hls-demo
    - https://github.com/aminyazdanpanah/python-ffmpeg-video-streaming
        - 文档 https://video.aminyazdanpanah.com/python/start
    - m3u8文件解析 https://github.com/globocom/m3u8
- 加密m3u8
    - Encryption(DRM)
- 参考
    - [使用FFmpeg作为HLS流服务器（第1部分）– HLS基础](https://www.martin-riedl.de/2018/08/24/using-ffmpeg-as-a-hls-streaming-server-part-1/)
        - 第二部分 https://www.martin-riedl.de/2018/08/24/using-ffmpeg-as-a-hls-streaming-server-part-2/
    - [m3u8下载](https://gist.github.com/primaryobjects/7423d7982656a31e72542f60d30f9d30)
    
- ffmpeg 切割视频，生成m3u8
```shell script
ffmpeg  -i  input.mp4   \
   -c:v libx264 -crf 21 -preset veryfast \
    -c:a aac -b:a 128k -ac 2 \
    -f hls -hls_time 4 -hls_playlist_type event stream.m3u8

ffmpeg -i input.mp4  \
    -c:v libx264 -c:a aac -strict -2 -hls_time 20 -f hls output.m3u8
```  

================================================
FILE: 2020/2-1-WordCloud-武汉/README.md
================================================
- 视频:[怎样用Python制作【词云】？武汉-冠状病毒](https://www.bilibili.com/video/av86091936/)

从【微博搜索】获取【热门微博】
然后用【结巴分词】提取关键词
使用Wordcloud制作词云

关键点是中文字体路径
否则显示不出来

================================================
FILE: 2020/2-1-WordCloud-武汉/词云-Alice-英文.ipynb
================================================
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 参考 https://github.com/amueller/word_cloud/blob/master/examples/simple.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "text = open('/Users/play/Downloads/alice.txt').read()\n",
    "#https://github.com/amueller/word_cloud/blob/master/examples/alice.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "145190"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "wordcloud = WordCloud( width=1000, height=860).generate(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 999.5, 859.5, -0.5)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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