python-dependency-injector/docs/index.rst
Roman Mogylatov feed916f46
Async resources and injections (#352)
* Add support of async injections into wiring

* Add support of async functions and async generators for resources

* Update resource provider typing stub for stutdown

* Add resource base class for async resources

* Fix tests

* Add tests for async injections in wiring @inject

* Refactor provider tests

* Add tests for async resources

* Rework async resources callbacks to .add_done_callback() style (fixes pypy3 issue)

* Add awaits into async resource class test

* Refactor FastAPI tests

* Implement async resources initialization in container

* Move container async resource tests to a separate module for Python 3.6+

* Fix init async resources in container on Python 2

* Add first dirty async injections implementation

* Fix isawaitable error

* Turm asyncio import to conditional for safer Py2 usage

* Refactor kwargs injections

* Implement positional injections, add tests and make refactoring

* Implement attribute injections and add tests

* Add singleton implementation + tests for all singleton types

* Implement injections in thread-local and thread-safe singleton providers

* Update .provided + fix resource concurent initialization issue

* Implement async mode for Dependency provider

* Add async mode for the provider

* Add overload for Factory typing

* Add typing stubs for async resource

* Refactor abstract* providers __call__()

* Add async mode API + tests

* Add typing stubs & tests for async mode API

* Add tests for async mode auto configuration

* Refactor Provider.__call__() to use async mode api

* Refactor Dependency provider to use async mode api

* Add tests for Dependency provider async mode

* Add support of async mode for FactoryAggregate provider + tests

* Refactor Singleton provider to use async mode api

* Refactor ThreadSafeSingleton provider to use async mode api

* Refactor ThreadLocalSingleton provider to use async mode api

* Finish Singleton refactoring to use async mode api

* Refactor Resource provider to use async mode api

* Add Provider.async_() method + tests

* Add typing stubs for async_() method + tests

* Refactor Singleton typing stubs to return singleton from argument methods

* Refactor provider typing stubs

* Improve resource typing stub

* Add tests for async context kwargs injections

* Fix typo in resource provider tests

* Cover shutdown of not initialized resource

* Add test to cover resource initialization with an error

* Fix Singleton and ThreadLocalSingleton to handle initialization errors

* Add FastAPI + Redis example

* Make cosmetic fixes to FastAPI + Redis example

* Add missing development requirements

* Update module docblock in fastapi + redis example

* Add FastAPI + Redis example docs

* Add references to FastAPI + Redis example

* Refactor resource docs

* Add asynchronous resources docs

* Refactor wiring docs

* Add async injections docs for wiring

* Add async injections page and update docs index, readme, and key features pages

* Add providers async injections example

* Add docs on provider async mode enabling

* Reword async provider docs

* Add provider async mode docs

* Add cross links to async docs

* Mute flake8 errors in async provider examples

* Update changelog

* Make cosmetic fix to containers.pyx
2021-01-10 19:26:15 -05:00

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=================================================================
Dependency Injector --- Dependency injection framework for Python
=================================================================
.. meta::
:google-site-verification: V1hlKfpgL3AARAElwFcqP4qW1Smsx5bKSRU8O86i20Y
:keywords: Python,Dependency injection,DI,Inversion of Control,IoC,
IoC Container,Factory, Singleton, Design Patterns
:description: Dependency Injector is a dependency injection framework
for Python. It helps to maintain you application structure.
It was designed to be unified, developer-friendly
tool that helps to implement dependency injection design
pattern in formal, pretty, Pythonic way. Dependency Injector
provides implementations of such popular design patterns
like IoC container, Factory and Singleton. Dependency
Injector providers are implemented as C extension types
using Cython.
.. _index:
.. image:: https://img.shields.io/pypi/v/dependency_injector.svg
:target: https://pypi.org/project/dependency-injector/
:alt: Latest Version
.. image:: https://img.shields.io/pypi/l/dependency_injector.svg
:target: https://pypi.org/project/dependency-injector/
:alt: License
.. image:: https://img.shields.io/pypi/pyversions/dependency_injector.svg
:target: https://pypi.org/project/dependency-injector/
:alt: Supported Python versions
.. image:: https://img.shields.io/pypi/implementation/dependency_injector.svg
:target: https://pypi.org/project/dependency-injector/
:alt: Supported Python implementations
.. image:: https://static.pepy.tech/badge/dependency-injector
:target: https://pepy.tech/project/dependency-injector
:alt: Downloads
.. image:: https://static.pepy.tech/badge/dependency-injector/month
:target: https://pepy.tech/project/dependency-injector
:alt: Downloads
.. image:: https://static.pepy.tech/badge/dependency-injector/week
:target: https://pepy.tech/project/dependency-injector
:alt: Downloads
.. image:: https://img.shields.io/pypi/wheel/dependency-injector.svg
:target: https://pypi.org/project/dependency-injector/
:alt: Wheel
.. image:: https://api.travis-ci.com/ets-labs/python-dependency-injector.svg?branch=master
:target: https://travis-ci.com/github/ets-labs/python-dependency-injector
:alt: Build Status
.. image:: https://coveralls.io/repos/github/ets-labs/python-dependency-injector/badge.svg?branch=master
:target: https://coveralls.io/github/ets-labs/python-dependency-injector?branch=master
:alt: Coverage Status
``Dependency Injector`` is a dependency injection framework for Python.
It helps implementing the dependency injection principle.
Key features of the ``Dependency Injector``:
- **Providers**. Provides ``Factory``, ``Singleton``, ``Callable``, ``Coroutine``, ``Object``,
``List``, ``Dict``, ``Configuration``, ``Resource``, ``Dependency`` and ``Selector`` providers
that help assembling your objects. See :ref:`providers`.
- **Overriding**. Can override any provider by another provider on the fly. This helps in testing
and configuring dev / stage environment to replace API clients with stubs etc. See
:ref:`provider-overriding`.
- **Configuration**. Reads configuration from ``yaml`` & ``ini`` files, environment variables
and dictionaries. See :ref:`configuration-provider`.
- **Resources**. Helps with initialization and configuring of logging, event loop, thread
or process pool, etc. Can be used for per-function execution scope in tandem with wiring.
See :ref:`resource-provider`.
- **Containers**. Provides declarative and dynamic containers. See :ref:`containers`.
- **Wiring**. Injects dependencies into functions and methods. Helps integrating with
other frameworks: Django, Flask, Aiohttp, Sanic, FastAPI, etc. See :ref:`wiring`.
- **Asynchronous**. Supports asynchronous injections. See :ref:`async-injections`.
- **Typing**. Provides typing stubs, ``mypy``-friendly. See :ref:`provider-typing`.
- **Performance**. Fast. Written in ``Cython``.
- **Maturity**. Mature and production-ready. Well-tested, documented and supported.
.. code-block:: python
from dependency_injector import containers, providers
from dependency_injector.wiring import inject, Provide
class Container(containers.DeclarativeContainer):
config = providers.Configuration()
api_client = providers.Singleton(
ApiClient,
api_key=config.api_key,
timeout=config.timeout.as_int(),
)
service = providers.Factory(
Service,
api_client=api_client,
)
@inject
def main(service: Service = Provide[Container.service]):
...
if __name__ == '__main__':
container = Container()
container.config.api_key.from_env('API_KEY')
container.config.timeout.from_env('TIMEOUT')
container.wire(modules=[sys.modules[__name__]])
main() # <-- dependency is injected automatically
with container.api_client.override(mock.Mock()):
main() # <-- overridden dependency is injected automatically
With the ``Dependency Injector`` objects assembling is consolidated in the container.
Dependency injections are defined explicitly.
This makes easier to understand and change how application works.
.. figure:: https://raw.githubusercontent.com/wiki/ets-labs/python-dependency-injector/img/di-readme.svg
:target: https://github.com/ets-labs/python-dependency-injector
Explore the documentation to know more about the ``Dependency Injector``.
.. _contents:
Contents
--------
.. toctree::
:maxdepth: 2
introduction/index
examples/index
tutorials/index
providers/index
containers/index
wiring
examples-other/index
api/index
main/feedback
main/changelog