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https://github.com/aio-libs/aiohttp-debugtoolbar aiohttp_debugtoolbar provides a debug toolbar for your #aiohttp#web application. Library is port of pyramid_debugtoolbar and still in early development stages. Basic functionality has been ported: basic panels intercept redirects intercept and pretty print exception interactive python console show source code

http://aiohttp.readthedocs.io/en/stable/testing.html aiohttp provides plugin for #pytest making writing web server tests extremely easy, it also provides test framework agnostic utilities for testing with other frameworks such as unittest. #aiohttp

https://github.com/aio-libs/aiohttp-mako #mako template renderer for #aiohttp.web based on aiohttp_jinja2. Library has almost same api and support python 3.5 (PEP492) syntax. It is used in aiohttp_debugtoolbar.

http://steelkiwi.com/blog/an-example-of-a-simple-chat-written-in-aiohttp/ Last autumn I attended several python meet-ups in Kyiv. There was a speaker Nikolay Novik at one of them, who told about a new asynchronous framework #aiohttp, working on the library for asynchronous calls asyncio in Python intepreter’s 3rd edition. I got interested in this framework because it was designed by core python developers, mainly by Andrey Svetlov from Kyiv, and was positioned as a python framework concept for #web. Now there is a huge number of different frameworks, each of them with its own philosophy, syntax and realization of patterns common for web. I hope that eventually this diversity will be on a single basis - aiohttp. #learn

http://programtalk.com/python-examples/aiohttp.web.Application/?ipage=1 Here are the examples of the python api #aiohttp.web.Application taken from open source projects. By voting up you can indicate which examples are most useful and appropriate. #asyncio#learn

https://pawelmhm.github.io/asyncio/python/aiohttp/2016/04/22/asyncio-aiohttp.html 👌Making 1 million requests with python -#aiohttp Apr 22, 2016 - by Paweł Miech - about: #asyncio, aiohttp, #python In this post I’d like to test limits of python aiohttp and check its performance in terms of requests per minute. Everyone knows that asynchronous code performs better when applied to network operations, but it’s still interesting to check this assumption and understand how exactly it is better and why it’s is better. I’m going to check it by trying to make 1 million #requests with aiohttp client. How many requests per minute will aiohttp make? What kind of exceptions and crashes can you expect when you try to make such volume of requests with very primitive scripts? What are main gotchas that you need to think about when trying to make such volume of requests?

https://github.com/aio-libs/aiobotocore Async client for amazon services using #botocore and #aiohttp/#asyncio. Main purpose of this library to support amazon s3 api, but other services should work (may be with minor fixes). For now we have tested only upload/download api for s3, other users report that SQS and Dynamo services work also. More tests coming soon.

http://programtalk.com/vs2/python/9287/sempervirens/sempervirens/server.py/ This file is part of sempervirens #aiohttp#asyncio#learn#request

The library allows us to store user-specific data into a #session object. The session object has a dict-like interface (operations like session[key] = value, value = session[key] etc. are present). Before processing the session in a web-handler, you have to register the session #middleware in #aiohttp.web.Application. https://github.com/aio-libs/aiohttp-session

http://aiohttp.readthedocs.io/en/stable/web.html#aiohttp-web-middlewares In order to implement a #web server, first create a #request handler. A request handler is a #coroutine or regular function that accepts a #Request instance as its only parameter and returns a Response instance: #aiohttp

http://aiohttp.readthedocs.io/en/stable/deployment.html There are several options for #aiohttp server deployment: Standalone server Running a pool of backend servers behind of #nginx, #HAProxy or other reverse proxy server Using #gunicorn behind of reverse proxy

http://aiohttp.readthedocs.io/en/stable/web.html#aiohttp-web-websockets In order to implement a #web_server, first create a #request handler. A request handler is a coroutine or regular function that accepts a Request instance as its only parameter and returns a Response instance: #aiohttp#asyncio from aiohttp import web async def hello(request): return web.Response(text="Hello, world") Next, create an Application instance and register the request handler with the application’s #router on a particular HTTP method and path: