Most magic methods aren’t designed to work with async def/await – in general, you should only be using await inside the dedicated asynchronous magic methods – __aiter__, __anext__, __aenter__, and __aexit__. Using it inside other magic methods either won’t work at all, as is the case with __init__ (unless you use some tricks described in … Read more
EDIT FEB 21st, 2019: Problem Fixed This is no longer an issue on the latest version of Jupyter Notebook. Authors of Jupyter Notebook detailed the case here. Answer below was the original response that was marked correct by the op. This was posted quite a bit ago, but in case other people are looking for … Read more
How can I modify the program above so that the producer(s) is its own coroutine that can be scheduled concurrently with the consumers/workers? The example can be generalized without changing its essential logic: Move the insertion loop to a separate producer coroutine. Start the consumers in the background, letting them process the items as they … Read more
You should be able to safely combine asyncio and multiprocessing without too much trouble, though you shouldn’t be using multiprocessing directly. The cardinal sin of asyncio (and any other event-loop based asynchronous framework) is blocking the event loop. If you try to use multiprocessing directly, any time you block to wait for a child process, … Read more
Actual info: Starting from Python 3.7 asyncio.create_task(coro) high-level function was added for this purpose. You should use it instead other ways of creating tasks from coroutimes. However if you need to create task from arbitrary awaitable, you should use asyncio.ensure_future(obj). Old info: ensure_future vs create_task ensure_future is a method to create Task from coroutine. It … Read more
The solution was actually quite simple: I just needed to convert __call__ method of mock into coroutine: class AsyncMock(MagicMock): async def __call__(self, *args, **kwargs): return super(AsyncMock, self).__call__(*args, **kwargs) This works perfectly, when mock is called, code receives native coroutine Example usage: @mock.patch(‘my.path.asyncio.sleep’, new_callable=AsyncMock) def test_stuff(sleep): # code
You can retrieve unfinished tasks and run the loop again until they finished, then close the loop or exit your program. pending = asyncio.all_tasks() loop.run_until_complete(asyncio.gather(*pending)) pending is a list of pending tasks. asyncio.gather() allows to wait on several tasks at once. If you want to ensure all the tasks are completed inside a coroutine (maybe … 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
requests is a synchronous library. You need to use an asyncio-based library to make requests asynchronously. httpx httpx is typically used in FastAPI applications to request external services. It provides synchronous and asynchronous clients which can be used in def and async def path operations appropriately. It is also recommended for asynchronous tests of application. … Read more
You can use the aioconsole third-party package to interact with stdin in an asyncio-friendly manner: line = await aioconsole.ainput(‘Is this your line? ‘)