python-asyncio

问题 The message below is being printed while setting the result of an asyncio future. Executing <Handle <TaskWakeupMethWrapper object at 0x7fc3435141f8>(<Future finis...ection.py:260>) created at /media/stuff/stuff/projects/dare/dcds/dcds/common/connection.py:221> took 1.723 seconds I have no idea where even to start looking for the cause. But if I turn off the asyncio debug mode it crashes and shows me this. Task was destroyed but it is pending! task: <Task pending coro=<upload.<locals>.upload

问题 Per PEP-492 I am trying to implement an asynchronous iterator, such that I can do e.g. async for foo in bar: ... Here is a trivial example, similar to the one in the docs, with a very basic test of instantiation and async iteration: import pytest class TestImplementation: def __aiter__(self): return self async def __anext__(self): raise StopAsyncIteration @pytest.mark.asyncio # note use of pytest-asyncio marker async def test_async_for(): async for _ in TestImplementation(): pass However,

问题 here is my code: import asyncio import aiohttp async def main(): loop = asyncio.get_event_loop() url = "https://stackoverflow.com/" async with aiohttp.ClientSession(loop=loop) as session: async with session.get(url, timeout=30) as resp: print(resp.status) asyncio.run(main()) if I run it on my computer, everything works, but if I run it on pythonanywhere, I get this error: Traceback (most recent call last): File "/home/0dminnimda/.local/lib/python3.8/site-packages/aiohttp/connector.py", line

问题 I am trying to create a periodic task for an asyncio event loop as shown below, however I am getting a "RuntimeError: cannot reuse already awaited coroutine" exception. Apparently, asyncio does not allow for the same awaitable function to be awaited as discussed in this bug thread. This is how I tried to implement it: import asyncio class AsyncEventLoop: def __init__(self): self._loop = asyncio.get_event_loop() def add_periodic_task(self, async_func, interval): async def wrapper(_async_func,

问题 I am writing a program that accepts RPC requests over AMQP for executing network requests (CoAP). When processing RPC requests, the aioamqp callback generates tasks that are responsible for network IO. These tasks can be considered background tasks, that will run indefinitely for streaming network responses over AMQP (in this case one RPC requests triggers a RPC response and data streaming). I noticed that in my original code the network task would be destroyed after seemingly random time

问题 I am writing a program that accepts RPC requests over AMQP for executing network requests (CoAP). When processing RPC requests, the aioamqp callback generates tasks that are responsible for network IO. These tasks can be considered background tasks, that will run indefinitely for streaming network responses over AMQP (in this case one RPC requests triggers a RPC response and data streaming). I noticed that in my original code the network task would be destroyed after seemingly random time

问题 In threading, we have something called "Thread Context", in which we can save some data (state) for accessing in a special thread. In asyncio, I need to save some state in current execution path, so that all consequent coroutines can access it. What is the solution? Note: I know each coroutine function is instantiated for an execution path in asyncio, but for some reason I can not save the state in function properties. (Although this method os not very good anyway) 回答1: As of Python 3.7 you

问题 In threading, we have something called "Thread Context", in which we can save some data (state) for accessing in a special thread. In asyncio, I need to save some state in current execution path, so that all consequent coroutines can access it. What is the solution? Note: I know each coroutine function is instantiated for an execution path in asyncio, but for some reason I can not save the state in function properties. (Although this method os not very good anyway) 回答1: As of Python 3.7 you

问题 I'm trying to wrap an async function up so that I can use it without importing asyncio in certain files. The ultimate goal is to use asynchronous functions but being able to call them normally and get back the result. How can I access the result from the callback function printing(task) and use it as the return of my make_task(x) function? MWE: #!/usr/bin/env python3.7 import asyncio loop = asyncio.get_event_loop() def make_task(x): # Can be used without asyncio task = loop.create_task(my

问题 I'm trying to wrap an async function up so that I can use it without importing asyncio in certain files. The ultimate goal is to use asynchronous functions but being able to call them normally and get back the result. How can I access the result from the callback function printing(task) and use it as the return of my make_task(x) function? MWE: #!/usr/bin/env python3.7 import asyncio loop = asyncio.get_event_loop() def make_task(x): # Can be used without asyncio task = loop.create_task(my