Python asyncio context | 易学教程

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 can make use of contextvars.ContextVar.

In the example below I declared request_id and set the value in some_outer_coroutine, then accessed it in some_inner_coroutine.

import asyncio
import contextvars

# declare context var
request_id = contextvars.ContextVar('Id of request.')


async def some_inner_coroutine():
    # get value
    print('Processed inner coroutine of request: {}'.format(request_id.get()))


async def some_outer_coroutine(req_id):
    # set value
    request_id.set(req_id)

    await some_inner_coroutine()

    # get value
    print('Processed outer coroutine of request: {}'.format(request_id.get()))


async def main():
    tasks = []
    for req_id in range(1, 5):
        tasks.append(asyncio.create_task(some_outer_coroutine(req_id)))

    await asyncio.gather(*tasks)


if __name__ == '__main__':
    asyncio.run(main())

Output:

Processed inner coroutine of request: 1
Processed outer coroutine of request: 1
Processed inner coroutine of request: 2
Processed outer coroutine of request: 2
Processed inner coroutine of request: 3
Processed outer coroutine of request: 3
Processed inner coroutine of request: 4
Processed outer coroutine of request: 4

回答2:

There's also https://github.com/azazel75/metapensiero.asyncio.tasklocal, but you must be aware that tasks are often created internally by libraries and also by asyncio using ensure_future(a_coroutine) and there's no actual way to track these new tasks and initialize their locals (maybe with those of the task that they are created from). (an "hack" whould be setting a loop.set_task_factory() function with something that does the job, hoping that all code uses loop.create_task() to create the tasks, which is not always true...)

Another issue is that if some of your code is executed inside a Future callback Task.current_task() function which is used by both the libraries to select the right copy of locals to serve will always return None...

来源：https://stackoverflow.com/questions/30596484/python-asyncio-context

标签

python

multithreading

asynchronous

python-asyncio