There are several different libraries at play: threading: interface to OS-level threads. Note that CPU-bound work is mostly serialized by the GIL, so don’t expect threading to speed up calculations. Use it when you need to invoke blocking APIs in parallel, and when you require precise control over thread creation. Avoid creating too many threads … Read more
What does Task was destroyed but it is pending! mean? If at the moment your program finished some of asyncio tasks still not finished, you’ll get this warning. This warning is needed because some task that are running may not correctly free some resources. There’re two common ways to solve it: You can wait while … Read more
Background UploadFile is just a wrapper around SpooledTemporaryFile, which can be accessed as UploadFile.file. SpooledTemporaryFile() […] function operates exactly as TemporaryFile() does And documentation about TemporaryFile says: Return a file-like object that can be used as a temporary storage area. [..] It will be destroyed as soon as it is closed (including an implicit close … Read more
Edit: If using Python 3.8 or above, you should use the asyncio repl, as explained in zeronone’s answer. If using 3.7 or lower, you can use this answer. You can run the event loop inside a background thread: >>> import asyncio >>> >>> @asyncio.coroutine … def greet_every_two_seconds(): … while True: … print(‘Hello World’) … yield … Read more
You must use call_soon_threadsafe to schedule callbacks from different threads: import asyncio from threading import Thread loop = asyncio.new_event_loop() def f(loop): asyncio.set_event_loop(loop) loop.run_forever() t = Thread(target=f, args=(loop,)) t.start() @asyncio.coroutine def g(): yield from asyncio.sleep(1) print(‘Hello, world!’) loop.call_soon_threadsafe(asyncio.async, g()) See https://docs.python.org/3/library/asyncio-dev.html#asyncio-multithreading for more information. EDIT: Example of an interpreter supporting asynchronous workloads # vim: filetype=python3 tabstop=2 … Read more
You only need to mark your tests as async @pytest.mark.asyncio async def test_app(create_x, auth): api_client, x_id = create_x resp = await api_client.get(f’my_res/{x_id}’, headers=auth) assert resp.status == web.HTTPOk.status_code This tells pytest to run the test inside an event loop rather than calling it directly. The fixtures can be marked as normal @pytest.fixture async def create_x(api_client): x_id … Read more
The whole point of asyncio is that you can run multiple thousands of I/O-heavy tasks concurrently, so you don’t need Threads at all, this is exactly what asyncio is made for. Just run the two coroutines (SNMP and proxy) in the same loop and that’s it. You have to make both of them available to … Read more
Yes, any coroutine that’s running inside your event loop will block other coroutines and tasks from running, unless it Calls another coroutine using yield from or await (if using Python 3.5+). Returns. This is because asyncio is single-threaded; the only way for the event loop to run is for no other coroutine to be actively … Read more
You made faire_toutes_les_requetes_sans_bloquer an awaitable function, a coroutine, by using async def. When you call an awaitable function, you create a new coroutine object. The code inside the function won’t run until you then await on the function or run it as a task: >>> async def foo(): … print(“Running the foo coroutine”) … >>> … Read more
On Windows seems to be a problem with EventLoopPolicy, use this snippet to work around it: asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy()) asyncio.run(main())