In your link, there is an edit: EDIT: A GitHub issue mentioned in this post has been resolved and as of version 0.11.1 asynctest supports asynchronous context managers out of the box. Since asynctest==0.11.1, it was changed, a working example is: import random from aiohttp import ClientSession from asynctest import CoroutineMock, patch async def get_random_photo_url(): … Read more
You can use web.json_response: async def api_server(request): res = {“q”: “qqq”, “a”: “aaa”} return web.json_response(res) Furthermore the json_response has additional parameters, like: json_response(data, text=None, body=None, status=200, reason=None, headers=None, content_type=”application/json”, dumps=json.dumps) Most of the parameters are the same as the generic web.Response(..), but the dumps is more interesting: it is a reference to a method that … Read more
Just don’t use the result of session.get() as a context manager; use it as a coroutine directly instead. The request context manager that session.get() produces would normally release the request on exit, but so does using response.text(), so you could ignore that here: @asyncio.coroutine def fetch(session, url): with aiohttp.Timeout(10): response = yield from session.get(url) return … Read more
ahh the data part is accessed like that await request.json() You can find this in official aiohttp docs
Pass expected content type to json() method: data = await resp.json(content_type=”text/html”) or disable the check entirely: data = await resp.json(content_type=None)
If I understand you well, you want to limit the number of simultaneous requests? There is a object inside asyncio named Semaphore, it works like an asynchronous RLock. semaphore = asyncio.Semaphore(50) #… async def limit_wrap(url): async with semaphore: # do what you want #… results = asyncio.gather([limit_wrap(url) for url in urls]) updated Suppose I make … Read more
asyncio.sleep(delay) Change it to: await asyncio.sleep(delay) asyncio.sleep is a coroutine and should be awaited.
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
Although it’s not exactly a limit on the number of requests per second, note that since v2.0, when using a ClientSession, aiohttp automatically limits the number of simultaneous connections to 100. You can modify the limit by creating your own TCPConnector and passing it into the ClientSession. For instance, to create a client limited to … Read more
One way would be to use create_task function: import asyncio async def handler_message(request): … loop = asyncio.get_event_loop() loop.create_task(perform_message(x,y,z)) … As per the loop documentation, starting Python 3.10, asyncio.get_event_loop() is deprecated. If you’re trying to get a loop instance from a coroutine/callback, you should use asyncio.get_running_loop() instead. This method will not work if called from the … Read more