werkzeug

Python pip高级用法

孤街浪徒 提交于 2020-04-17 17:09:39
1.pip 高级用法 为了便于用户安装和管理第三方库和软件,越来越多的编程语言拥有自己的包管理工 具,如 nodejs 的 npm, ruby 的 gem。 Python 也不例外,现在 Python 生态主流的包管理工 具是 pip。 2.pip 介绍 pip 是一个用来安装和管理 Python 包的工具,是 easy_install 的替代品,如果读者使用 的是 Python 2.7.9+或 Python 3.4+版本的 Python,则已经内置了 pip,无须安装直接使用即 可。 如果系统中没有安装 pip,也可以于动安装,如下所示: sudo apt-get install python-pip 安装 pip 以后,如果有新的 pip 版本,它也会提示用户进行升级: pip install -U pip pip 之所以能够成为最流行的包管理工具,并不是因为它被 Python 官方作为默认的包 管理器,而是因为它自身的诸多优点。 pip 的优点有: D pip 提供了丰富的功能,其竞争对手 easy_install 则只支持安装,没有提供卸载和显 示已安装列表的功能; D pip 能够很好地支持虚拟环境; 口 pip 可以通过 requirements.txt 集中管理依赖; 口 pip 能够处理二进制格式(.whl); D pip 是先下载后安装,如果安装失败,也会清理干净

Flask werkzeug.exceptions.BadRequestKeyError [duplicate]

不问归期 提交于 2020-03-21 05:16:45
问题 This question already has an answer here : Flask view shows 400 error instead of template with form (1 answer) Closed 2 years ago . I've tried several different flask apps and get the following error every time. werkzeug.exceptions.BadRequestKeyError werkzeug.exceptions.HTTPException.wrap..newcls: 400 Bad Request: KeyError: 'name' I can't figure out why. It must be something with my setup because the same thing is happening in different applications. I set up a very simple model with minimal

werkzeug实现简单

我怕爱的太早我们不能终老 提交于 2020-03-11 13:55:05
werkzeug实现简单 1.通过request请求获取name值 code代码为 from werkzeug.wrappers import Request, Response def application(environ, start_response): request = Request(environ) text = 'Hello %s!' % request.args.get('name', 'Keny88888') response = Response(text, mimetype='text/plain') return response(environ, start_response) if __name__ == "__main__": from werkzeug.serving import run_simple run_simple("localhost", 5000, application) 2.运行结果 2.1直接请求为 http://localhost:5000/ 默认为Hello Keny88888 2.2 赋值为name为= 88888888 http://localhost:5000/?name=88888888 来源: CSDN 作者: keny-风清扬 链接: https://blog.csdn.net/keny88888

flask

天涯浪子 提交于 2020-03-03 22:17:31
Flask是一个基于Python开发并且依赖jinja2模板和Werkzeug WSGI服务的一个微型框架,对于Werkzeug本质是Socket服务端,其用于接收http请求并对请求进行预处理,然后触发Flask框架,开发人员基于Flask框架提供的功能对请求进行相应的处理,并返回给用户,如果要返回给用户复杂的内容时,需要借助jinja2模板来实现对模板的处理,即:将模板和数据进行渲染,将渲染后的字符串返回给用户浏览器。 “微”(micro) 并不表示你需要把整个 Web 应用塞进单个 Python 文件(虽然确实可以 ),也不意味着 Flask 在功能上有所欠缺。微框架中的“微”意味着 Flask 旨在保持核心简单而易于扩展。Flask 不会替你做出太多决策——比如使用何种数据库。而那些 Flask 所选择的——比如使用何种模板引擎——则很容易替换。除此之外的一切都由可由你掌握。如此,Flask 可以与您珠联璧合。 默认情况下,Flask 不包含数据库抽象层、表单验证,或是其它任何已有多种库可以胜任的功能。然而,Flask 支持用扩展来给应用添加这些功能,如同是 Flask 本身实现的一样。众多的扩展提供了数据库集成、表单验证、上传处理、各种各样的开放认证技术等功能。Flask 也许是“微小”的,但它已准备好在需求繁杂的生产环境中投入使用。

Cannot run apache airflow after fresh install, python import error

牧云@^-^@ 提交于 2020-02-27 14:23:08
问题 after a fresh install using pip install apache-airflow , any attempts to run airflow end with a python import error: Traceback (most recent call last): File "/Users/\*/env/bin/airflow", line 26, in <module> from airflow.bin.cli import CLIFactory File "/Users/\*/env/lib/python3.7/site-packages/airflow/bin/cli.py", line 70, in <module> from airflow.www.app import (cached_app, create_app) File "/Users/\*/env/lib/python3.7/site-packages/airflow/www/app.py", line 26, in <module> from flask_wtf

Handling large file uploads with Flask

老子叫甜甜 提交于 2020-02-26 06:57:08
问题 What would be the best way to handle very large file uploads (1 GB +) with Flask? My application essentially takes multiple files assigns them one unique file number and then saves it on the server depending on where the user selected. How can we run file uploads as a background task so the user does not have the browser spin for 1hour and can instead proceed to the next page right away? Flask development server is able to take massive files (50gb took 1.5 hours, upload was quick but writing

Handling large file uploads with Flask

不想你离开。 提交于 2020-02-26 06:53:05
问题 What would be the best way to handle very large file uploads (1 GB +) with Flask? My application essentially takes multiple files assigns them one unique file number and then saves it on the server depending on where the user selected. How can we run file uploads as a background task so the user does not have the browser spin for 1hour and can instead proceed to the next page right away? Flask development server is able to take massive files (50gb took 1.5 hours, upload was quick but writing

How to get python interpreter full argv command line options?

早过忘川 提交于 2020-02-25 08:12:06
问题 As we know from documentation: -c If this option is given, the first element of sys.argv will be "-c" and the current directory will be added to the start of sys.path (allowing modules in that directory to be imported as top level modules). How can I get full interpreter command line options? I need it to solve this: https://github.com/mitsuhiko/werkzeug/blob/f50bdc04cf1c8d71d12d13a0c8ef2878477f4d24/werkzeug/_reloader.py#L141 If I start werkzeug development server, then it will lost -c cmd

How does Context Locals and The Request Context work together?

浪子不回头ぞ 提交于 2020-01-30 11:55:34
问题 I am trying to learn to make a variable available across method through a decorator function in Flask. I read Flask request context documentation and wrote the following code, which works as intended. a.py _request_ctx_stack.top.current_identity = payload.get('sub') b.py current_identity = getattr(_request_ctx_stack.top, 'current_identity', None) However flask-jwt solves this problem by introducing an additional local proxy like this: a.py from werkzeug.local import LocalProxy current

Flask CLI抛出'OSError:[Errno 8] Exec格式错误'

让人想犯罪 __ 提交于 2020-01-28 05:47:56
这个是报错 运行的时候出现的 /home/python/.virtualenvs/flask_dome/bin/python3.6 /home/python/Desktop/flask_demo_01/app.py * Serving Flask app "app" (lazy loading) * Environment: production WARNING: Do not use the development server in a production environment. Use a production WSGI server instead. * Debug mode: on * Running on http://192.168.0.140:8888/ (Press CTRL+C to quit) * Restarting with stat Traceback (most recent call last): File "/home/python/Desktop/flask_demo_01/app.py", line 79, in <module> app.run(host='192.168.0.140',port=8888) File "/home/python/.virtualenvs/flask_dome/lib/python3.6/site