https://github.com/adriangb/asgi-background

Background tasks for ASGI web frameworks
https://github.com/adriangb/asgi-background

Last synced: 21 days ago
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Background tasks for ASGI web frameworks

• Host: GitHub
• URL: https://github.com/adriangb/asgi-background
• Owner: adriangb
• License: mit
• Created: 2022-07-01T00:14:09.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-11-03T20:35:29.000Z (about 2 years ago)
• Last Synced: 2024-10-07T18:08:21.672Z (about 1 month ago)
• Language: Python
• Size: 59.6 KB
• Stars: 16
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

• awesome-asgi - asgi-background - Background tasks for any ASGI framework. (Resources / Experiments and examples)

README

        
# asgi-background

Background tasks for any ASGI framework.

## Example (Starlette)

```python

from asgi_background import BackgroundTaskMiddleware, BackgroundTasks

from starlette.applications import Starlette

from starlette.middleware import Middleware

from starlette.requests import Request

from starlette.responses import Response

from starlette.routing import Route

async def task(num: int) -> None:

    await anyio.sleep(1)

    print(num)

async def endpoint(request: Request) -> Response:

    tasks = BackgroundTasks(request.scope)

    await tasks.add_task(task, 1)

    return Response()

app = Starlette(

    routes=[Route("/", endpoint)],

    middleware=[Middleware(BackgroundTaskMiddleware)]

)

```

## Execution

Unlike Starlette, we do not execute background tasks within the ASGI request/response cycle.

Instead we schedule them in a `TaskGroup` that is bound to the application's lifespan.

The only guarantee we make is that background tasks will not block (in the async sense, not the GIL sense) sending the response and that we will (try) to wait for them to finish when the application shuts down.

Just like with Starlette's background tasks, you should only use these for short lived tasks, they are not a durable queuing mechanisms like Redis, Celery, etc.

For context, the default application shutdown grace period in Kubernetes is 30 seconds, so 30 seconds is probably about as long as you should allow your tasks to run.