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ashka

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ashka extends reagento/dishka with async/sync application lifecycle support.

The a prefix lets ashka sort before dishka, helping ensure the correct import order. The name also means async application lifecycle support, which can speed up startup compared with serially initializing components in a lifespan function.

Documentation

Current Features

  • Pass AshkaScope.BOOTSTRAP to the scope parameter of ashka.provide, for example @ashka.provide(scope=ashka.AshkaScope.BOOTSTRAP), to register a dependency in the APP scope and create it when the container is initialized. Both synchronous and asynchronous containers can be initialized explicitly with container.init() or automatically by entering the container context manager.
  • Each ashka integration provides a consistent get_container function. It retrieves the container passed to setup_dishka from the integrated framework application, router, broker, context, or other supported object.
  • The central ashka.integrations.setup_dishka and ashka.integrations.get_container functions automatically dispatch to the corresponding integration based on the type of the object passed to them.
  • Integrations are available for Aiogram, Aiohttp, ARQ, Celery, Click, FastAPI, Flask, Litestar, Sanic, Starlette, Taskiq, and Telebot. FastStream is available as a manual opt-in integration.

Patched Implementations

  • dishka.**.make_container -> ashka.**.make_container
  • dishka.**.make_async_container -> ashka.**.make_async_container
  • dishka.integrations.*.setup_dishka -> ashka.integrations.*.setup_dishka

These monkey patches keep the API paths consistent with upstream dishka and reduce the cognitive load during migration. Import ashka before importing these dishka APIs so existing projects can keep their current imports without immediate code changes. This is a migration aid rather than a stable usage pattern; migrate imports from dishka to ashka incrementally when convenient instead of relying on the monkey patches indefinitely.

See FastStream support for its support status and manual opt-in.

Key dates

PyPI data
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  • Released:
Newer release available (0.9.7)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for handsome-Druid from gravatar.com handsome-Druid

Credits

Author: handsome-Druid

Requires

Python <3.15, >=3.10

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