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https://github.com/ets-labs/python-dependency-injector.git
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113 lines
4.5 KiB
ReStructuredText
113 lines
4.5 KiB
ReStructuredText
=================================================================
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Dependency Injector --- Dependency injection framework for Python
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=================================================================
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.. meta::
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:google-site-verification: V1hlKfpgL3AARAElwFcqP4qW1Smsx5bKSRU8O86i20Y
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:keywords: Python,Dependency injection,DI,Inversion of Control,IoC,
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IoC Container,Factory, Singleton, Design Patterns
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:description: Dependency Injector is a dependency injection framework
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for Python. It helps to maintain you application structure.
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It was designed to be unified, developer-friendly
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tool that helps to implement dependency injection design
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pattern in formal, pretty, Pythonic way. Dependency Injector
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provides implementations of such popular design patterns
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like IoC container, Factory and Singleton. Dependency
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Injector providers are implemented as C extension types
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using Cython.
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.. _index:
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.. image:: https://img.shields.io/pypi/v/dependency_injector.svg
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:target: https://pypi.org/project/dependency-injector/
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:alt: Latest Version
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.. image:: https://img.shields.io/pypi/l/dependency_injector.svg
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:target: https://pypi.org/project/dependency-injector/
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:alt: License
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.. image:: https://img.shields.io/pypi/pyversions/dependency_injector.svg
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:target: https://pypi.org/project/dependency-injector/
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:alt: Supported Python versions
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.. image:: https://img.shields.io/pypi/implementation/dependency_injector.svg
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:target: https://pypi.org/project/dependency-injector/
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:alt: Supported Python implementations
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.. image:: https://pepy.tech/badge/dependency-injector
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:target: https://pepy.tech/project/dependency-injector
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:alt: Downloads
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.. image:: https://pepy.tech/badge/dependency-injector/month
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:target: https://pepy.tech/project/dependency-injector
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:alt: Downloads
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.. image:: https://pepy.tech/badge/dependency-injector/week
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:target: https://pepy.tech/project/dependency-injector
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:alt: Downloads
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.. image:: https://img.shields.io/pypi/wheel/dependency-injector.svg
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:target: https://pypi.org/project/dependency-injector/
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:alt: Wheel
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.. image:: https://travis-ci.org/ets-labs/python-dependency-injector.svg?branch=master
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:target: https://travis-ci.org/ets-labs/python-dependency-injector
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:alt: Build Status
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.. image:: http://readthedocs.org/projects/python-dependency-injector/badge/?version=latest
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:target: http://python-dependency-injector.ets-labs.org/
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:alt: Docs Status
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.. image:: https://coveralls.io/repos/github/ets-labs/python-dependency-injector/badge.svg?branch=master
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:target: https://coveralls.io/github/ets-labs/python-dependency-injector?branch=master
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:alt: Coverage Status
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``Dependency Injector`` is a dependency injection framework for Python.
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It stands on two principles:
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- Explicit is better than implicit (PEP20).
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- Do no magic to your code.
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How does it different from the other frameworks?
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- **No autowiring.** The framework does NOT do any autowiring / autoresolving of the dependencies. You need to specify everything explicitly. Because *"Explicit is better than implicit" (PEP20)*.
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- **Does not pollute your code.** Your application does NOT know and does NOT depend on the framework. No ``@inject`` decorators, annotations, patching or any other magic tricks.
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``Dependency Injector`` makes a simple contract with you:
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- You tell the framework how to assemble your objects
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- The framework does it for you
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The power of the ``Dependency Injector`` is in its simplicity and straightforwardness. It is a simple tool for the powerful concept.
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With the ``Dependency Injector`` you keep **application structure in one place**.
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This place is called **the container**. You use the container to manage all the components of the
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application. All the component dependencies are defined explicitly. This provides the control on
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the application structure. It is **easy to understand and change** it.
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.. figure:: https://raw.githubusercontent.com/wiki/ets-labs/python-dependency-injector/img/di-map.svg
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:target: https://github.com/ets-labs/python-dependency-injector
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*The container is like a map of your application. You always know what depends on what.*
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Explore the documentation to know more about the ``Dependency Injector``.
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.. _contents:
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Contents
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--------
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.. toctree::
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:maxdepth: 2
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introduction/index
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main/installation
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tutorials/index
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providers/index
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containers/index
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examples/index
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api/index
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main/feedback
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main/changelog
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