python-dependency-injector/README.rst

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Dependency Injector - Python dependency injection framework
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*Dependency Injector* is a Python dependency injection framework. It was 
designed to be unified, developer-friendly tool that helps to implement 
dependency injection pattern in formal, pretty, Pythonic way.

*Dependency Injector* framework key features are:

+ Easy, smart, pythonic style.
+ Obvious, clear structure.
+ Extensibility and flexibility.
+ Memory efficiency.
+ Thread safety.
+ Documentation.
+ Semantic versioning.

Status
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| *PyPi*                                | .. image:: https://img.shields.io/pypi/v/dependency_injector.svg                       |
|                                       |    :target: https://pypi.python.org/pypi/dependency_injector/                          |
|                                       |    :alt: Latest Version                                                                |
|                                       | .. image:: https://img.shields.io/pypi/l/dependency_injector.svg                       |
|                                       |    :target: https://pypi.python.org/pypi/dependency_injector/                          |
|                                       |    :alt: License                                                                       |
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| *Python versions and implementations* | .. image:: https://img.shields.io/pypi/pyversions/dependency_injector.svg              |
|                                       |    :target: https://pypi.python.org/pypi/dependency_injector/                          |
|                                       |    :alt: Supported Python versions                                                     |
|                                       | .. image:: https://img.shields.io/pypi/implementation/dependency_injector.svg          |
|                                       |    :target: https://pypi.python.org/pypi/dependency_injector/                          |
|                                       |    :alt: Supported Python implementations                                              |
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| *Builds and tests coverage*           | .. image:: https://travis-ci.org/ets-labs/python-dependency-injector.svg?branch=master |
|                                       |    :target: https://travis-ci.org/ets-labs/python-dependency-injector                  |
|                                       |    :alt: Build Status                                                                  |
|                                       | .. image:: https://coveralls.io/repos/ets-labs/python-dependency-injector/badge.svg    |
|                                       |    :target: https://coveralls.io/r/ets-labs/python-dependency-injector                 |
|                                       |    :alt: Coverage Status                                                               |
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Dependency injection
--------------------

`Dependency injection`_ is a software design pattern that implements 
`Inversion of control`_ for resolving dependencies. Formally, if object **A** 
depends on object **B**, object **A** must not create or import object **B**, 
but provide a way for injecting object **B** (object **B** could be injected 
into object **A**  in several ways: by passing it as ``__init__`` argument, by 
setting it as attribute's value or by passing it as method's argument). 

Dependency injection pattern has few strict rules that should be followed:

+ Object **A** (the client) delegates to external code (the dependency 
  injector) the responsibility of providing its dependencies - object **B** 
  (the service).
+ The client doesn't know how to create the service, it knows only interface 
  of service. The service doesn't know that it is used by the client.
+ The dependency injector knows how to create the client and the service, it 
  also knows that the client depends on the service, and knows how to inject 
  the service into the client.
+ The client and the service know nothing about the dependency injector.

Dependency injection pattern provides next advantages: 

+ Control on application structure.
+ Decreased coupling between application components.
+ Increased code reusability.
+ Increased testability.
+ Increased maintainability.
+ Reconfiguration of system without rebuilding.

Example of dependency injection
-------------------------------

Brief example below demonstrates usage of *Dependency Injector* for creating 
several IoC containers for some microservice system:

.. code-block:: python

    """Example of dependency injection in Python."""

    import logging
    import sqlite3

    import boto.s3.connection

    import example.main
    import example.services

    import dependency_injector.containers as containers
    import dependency_injector.providers as providers


    class Platform(containers.DeclarativeContainer):
        """IoC container of platform service providers."""

        logger = providers.Singleton(logging.Logger, name='example')

        database = providers.Singleton(sqlite3.connect, ':memory:')

        s3 = providers.Singleton(boto.s3.connection.S3Connection,
                                 aws_access_key_id='KEY',
                                 aws_secret_access_key='SECRET')


    class Services(containers.DeclarativeContainer):
        """IoC container of business service providers."""

        users = providers.Factory(example.services.Users,
                                  logger=Platform.logger,
                                  db=Platform.database)

        auth = providers.Factory(example.services.Auth,
                                 logger=Platform.logger,
                                 db=Platform.database,
                                 token_ttl=3600)

        photos = providers.Factory(example.services.Photos,
                                   logger=Platform.logger,
                                   db=Platform.database,
                                   s3=Platform.s3)


    class Application(containers.DeclarativeContainer):
        """IoC container of application component providers."""

        main = providers.Callable(example.main.main,
                                  users_service=Services.users,
                                  auth_service=Services.auth,
                                  photos_service=Services.photos)

Next example demonstrates run of dependency injection example application 
defined above:

.. code-block:: python

    """Run dependency injection example application.

    Instructions for running:

        python run.py 1 secret photo.jpg
    """

    import sys
    import logging

    from containers import Platform, Application


    if __name__ == '__main__':
        # Configure platform logger:
        Platform.logger().addHandler(logging.StreamHandler(sys.stdout))

        # Run application:
        Application.main(uid=sys.argv[1],
                         password=sys.argv[2],
                         photo=sys.argv[3])

        # Previous call is an equivalent of next operations:
        #
        # logger = logging.Logger(name='example')
        # database = sqlite3.connect(':memory:')
        # s3 = boto.s3.connection.S3Connection(aws_access_key_id='KEY',
        #                                      aws_secret_access_key='SECRET')
        #
        # example.main.main(uid=sys.argv[1],
        #                   password=sys.argv[2],
        #                   photo=sys.argv[3],
        #                   users_service=example.services.Users(logger=logger,
        #                                                        db=database),
        #                   auth_service=example.services.Auth(logger=logger,
        #                                                      db=database,
        #                                                      token_ttl=3600),
        #                   photos_service=example.services.Photos(logger=logger,
        #                                                          db=database,
        #                                                          s3=s3))
        #
        # Output:
        #
        # User 1 has been found in database
        # User 1 has been successfully authenticated
        # Photo photo.jpg has been successfully uploaded by user 1
   
Alternative definition styles of providers
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

*Dependecy Injector* supports few other styles of dependency injections 
definition.

IoC containers from previous example could look like these:

.. code-block:: python

    class Platform(containers.DeclarativeContainer):
        """IoC container of platform service providers."""

        logger = providers.Singleton(logging.Logger) \
            .add_kwargs(name='example')

        database = providers.Singleton(sqlite3.connect) \
            .add_args(':memory:')

        s3 = providers.Singleton(boto.s3.connection.S3Connection) \
            .add_kwargs(aws_access_key_id='KEY',
                        aws_secret_access_key='SECRET')

or like this these:

.. code-block:: python

    class Platform(containers.DeclarativeContainer):
        """IoC container of platform service providers."""

        logger = providers.Singleton(logging.Logger)
        logger.add_kwargs(name='example')

        database = providers.Singleton(sqlite3.connect)
        database.add_args(':memory:')

        s3 = providers.Singleton(boto.s3.connection.S3Connection)
        s3.add_kwargs(aws_access_key_id='KEY',
                      aws_secret_access_key='SECRET')


You can get more *Dependency Injector* examples in ``/examples`` directory on
GitHub:

    https://github.com/ets-labs/python-dependency-injector

Installation
------------

*Dependency Injector* library is available on `PyPi`_::

    pip install dependency_injector

Documentation
-------------

*Dependency Injector* documentation is hosted on ReadTheDocs:

- `User's guide`_ 
- `API docs`_

Feedback & Support
------------------

Feel free to post questions, bugs, feature requests, proposals etc. on
*Dependency Injector*  GitHub Issues:

    https://github.com/ets-labs/python-dependency-injector/issues

Your feedback is quite important!


.. _Dependency injection: http://en.wikipedia.org/wiki/Dependency_injection
.. _Inversion of control: https://en.wikipedia.org/wiki/Inversion_of_control
.. _PyPi: https://pypi.python.org/pypi/dependency_injector
.. _User's guide: http://python-dependency-injector.ets-labs.org/en/stable/
.. _API docs: http://python-dependency-injector.ets-labs.org/en/stable/api/