Use direct __await__() call: async def new_sleep(): await asyncio.sleep(2) class Waiting: def __await__(self): return new_sleep().__await__() The solution was recommended by Yury Selivanov (the author of PEP 492) for aioodbc library
When you CTRL+C, the event loop gets stopped, so your calls to t.cancel() don’t actually take effect. For the tasks to be cancelled, you need to start the loop back up again. Here’s how you can handle it: import asyncio @asyncio.coroutine def shleepy_time(seconds): print(“Shleeping for {s} seconds…”.format(s=seconds)) yield from asyncio.sleep(seconds) if __name__ == ‘__main__’: loop … Read more
EDIT: 01/12/2021 previous answer (find it at the bottom) didn’t age well therefore I added a combination of possible solutions that may satisfy those who still look on how to co-use asyncio and Celery Lets quickly break up the use cases first (more in-depth analysis here: asyncio and coroutines vs task queues): If the task … Read more
Since Python 3.8 unittest comes with the IsolatedAsyncioTestCase function, designed for this purpose. from unittest import IsolatedAsyncioTestCase class Test(IsolatedAsyncioTestCase): async def test_functionality(self): result = await functionality() self.assertEqual(expected, result)
Are there any practical differences between Options 1 and 2? No. Option 2 looks nicer and might be marginally more efficient, but their net effect is the same. I know run_until_complete will run until the future has completed, so since Option 1 is looping in a specific order I suppose it could behave differently if … Read more
If you want different IPs for each connection, you can also use Stream Isolation over SOCKS by specifying a different proxy username:password combination for each connection. With this method, you only need one Tor instance and each requests client can use a different stream with a different exit node. In order to set this up, … Read more
first solution Referring to the help from the forum, I added trust_env = True when creating the client and now everything works. Explanation: Free accounts on PythonAnywhere must use a proxy to connect to the public internet, but aiohttp, by default, does not connect to a proxy accessible from an environment variable. Link to aiohttp … Read more
You can only use await in an async environment. Try changing the sync function to async: import asyncio whatever = . . . async def function(param) -> asyncio.coroutine: await param asyncio.run(function(whatever)) Simple and easy.
Most operating systems don’t support asynchronous file operations. That’s why asyncio doesn’t support them either. See the asyncio wiki for further explanation.
Eventually I found an answer in this thread. The method I was looking for is run_in_executor. This allows a synchronous function to be run asynchronously without blocking an event loop. In the sleep example I posted above, it might look like this: import asyncio from time import sleep async def sleep_async(loop, delay): # None uses … Read more