aiohttp

问题 What I have now (Python 3.4): r = yield from aiohttp.request('post', URL, params=None, data=values, headers=headers) What is in the documentation: conn = aiohttp.ProxyConnector(proxy="http://some.proxy.com") r = await aiohttp.get('http://python.org', connector=conn) So, how should I send a post request with headers through proxy connection with aiohttp? Thanks. 回答1: connector = aiohttp.ProxyConnector(proxy="http://some.proxy.com") session = aiohttp.ClientSession(connector=connector) async

问题 I'm trying to use Python's asyncio to run multiple servers together, passing data between them. For my specific case I need a web server with websockets, a UDP connection to an external device, as well as database and other interactions. I can find examples of pretty much any of these individually but I'm struggling to work out the correct way to have them run concurrently with data being pushed between them. The closest I have found here is here: Communicate between asyncio protocol/servers

问题 I'm trying to make 1 million requests with aiohttp and asyncio continuously in 10 times which 10k at each time. When I print the start time of each request, I found that the 1 million requests are NOT start at a very closed time but in serval minutes. In my understanding, the 1 million requests will be sent without any wait(or just say in microseconds?) Hope someone can help me give a suggestion how to change the code, and my code is as below. Thanks in advance! import asyncio import requests

问题 I am trying to read from a streaming API where the data is sent using Chunked Transfer Encoding. There can be more than one record per chunk, each record is separated by a CRLF. And the data is always sent using gzip compression. I am trying to get the feed and then do some processing at a time. I have gone through a bunch of stackOverflow resources but couldn't find a way to do it in Python. the iter_content(chunk) size in my case is throwing an exception on the line. for chunk in api

问题 I'm trying to consume multiple queues concurrently using python, asyncio and asynqp. I don't understand why my asyncio.sleep() function call does not have any effect. The code doesn't pause there. To be fair, I actually don't understand in which context the callback is executed, and whether I can yield control bavck to the event loop at all (so that the asyncio.sleep() call would make sense). What If I had to use a aiohttp.ClientSession.get() function call in my process_msg callback function?

问题 The python documentation for connection_lost states: connection_made() and connection_lost() are called exactly once per successful connection. Further down there's also the following state machine: start -> connection_made() [-> data_received() *] [-> eof_received() ?] -> connection_lost() -> end Also, the documentation for BaseTransport.close() states: After all buffered data is flushed, the protocol’s connection_lost() method will be called with None as its argument. and the documentation

问题 I'm running a test aiohttp webserver: #!/usr/bin/env python3 from aiohttp import web import time import asyncio import random import string import logging logger = logging.getLogger('webserver') logger.setLevel(logging.INFO) handler = logging.StreamHandler() formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) logger.addHandler(handler) def randomword(length): return ''.join(random.choice(string.ascii_lowercase) for i in range

问题 I am trying to get the status code from millions of different sites, I am using asyncio and aiohttp, I run the below code with a different number of connections (yet same timeout on the request) but get very different results specifically much higher number of the following exception. 'concurrent.futures._base.TimeoutError' The code import pandas as pd import asyncio import aiohttp out = [] CONNECTIONS = 1000 TIMEOUT = 10 async def fetch(url, session, loop): try: async with session.get(url

问题 We are trying to chose between technologies at my work. And I thought I'd run a benchmark using both libraries (aiohttp and requests). I want it to be as fair / unbiased as possible, and would love a look from the community into this. So this is my current code : import asyncio as aio import aiohttp import requests import time TEST_URL = "https://a-domain-i-can-use.tld" def requests_fetch_url(url): with requests.Session() as session: with session.get(url) as resp: html = resp.text async def

问题 Im in the process of moving some synchronous code to asyncio using aiohttp. the synchronous code was taking 15 minutes to run, so I'm hoping to improves this. I have some working code which gets data from some urls and returns the body of each. But this is just against 1 lab site, I have 70+ actual sites. So if I got a loop to create a list of all the urls for all sites that would make 700 urls in a list to be processed. Now processing them I don't think is a problem? But doing 'stuff' with