Metadata-Version: 2.1
Name: dependency-injector
Version: 4.0.0a2
Summary: Dependency injection microframework for Python
Home-page: https://github.com/ets-labs/python-dependency-injector
Author: ETS Labs
Author-email: rmogilatov@gmail.com
Maintainer: Roman Mogilatov
Maintainer-email: rmogilatov@gmail.com
License: BSD New
Download-URL: https://pypi.python.org/pypi/dependency_injector
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        What is ``Dependency Injector``?
        ================================
        
        ``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``, ``Configuration``, ``Dependency`` and ``Selector`` providers that help assembling your
          objects. See `Providers <http://python-dependency-injector.ets-labs.org/providers/index.html>`_.
        - **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
          `Provider overriding <http://python-dependency-injector.ets-labs.org/providers/overriding.html>`_.
        - **Configuration**. Read configuration from ``yaml`` & ``ini`` files, environment variables
          and dictionaries.
          See `Configuration provider <http://python-dependency-injector.ets-labs.org/providers/configuration.html>`_.
        - **Containers**. Provides declarative and dynamic containers.
          See `Containers <http://python-dependency-injector.ets-labs.org/containers/index.html>`_.
        - **Performance**. Fast. Written in ``Cython``.
        - **Typing**. Provides typing stubs, ``mypy``-friendly.
          See `Typing and mypy <http://python-dependency-injector.ets-labs.org/providers/typing_mypy.html>`_.
        - **Maturity**. Mature and production-ready. Well-tested, documented and supported.
        
        .. code-block:: python
        
            from dependency_injector import containers, providers
            from dependency_injector.wiring import 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,
                )
        
        
            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()
        
        With the ``Dependency Injector`` you keep **application structure in one place**.
        This place is called **the container**. You use the container to manage all the components of the
        application. All the component dependencies are defined explicitly. This provides the control on
        the application structure. It is **easy to understand and change** it.
        
        .. figure:: https://raw.githubusercontent.com/wiki/ets-labs/python-dependency-injector/img/di-map.svg
           :target: https://github.com/ets-labs/python-dependency-injector
        
        *The container is like a map of your application. You always know what depends on what.*
        
        Visit the docs to know more about the
        `Dependency injection and inversion of control in Python <http://python-dependency-injector.ets-labs.org/introduction/di_in_python.html>`_.
        
        Installation
        ------------
        
        The package is available on the `PyPi`_::
        
            pip install dependency-injector
        
        Documentation
        -------------
        
        The documentation is available on the `Read The Docs <http://python-dependency-injector.ets-labs.org/>`_
        
        Examples
        --------
        
        Choose one of the following:
        
        - `Application example (single container) <http://python-dependency-injector.ets-labs.org/examples/application-single-container.html>`_
        - `Application example (multiple containers) <http://python-dependency-injector.ets-labs.org/examples/application-multiple-containers.html>`_
        - `Decoupled packages example (multiple containers) <http://python-dependency-injector.ets-labs.org/examples/decoupled-packages.html>`_
        
        Tutorials
        ---------
        
        Choose one of the following:
        
        - `Flask web application tutorial <http://python-dependency-injector.ets-labs.org/tutorials/flask.html>`_
        - `Aiohttp REST API tutorial <http://python-dependency-injector.ets-labs.org/tutorials/aiohttp.html>`_
        - `Asyncio monitoring daemon tutorial <http://python-dependency-injector.ets-labs.org/tutorials/asyncio-daemon.html>`_
        - `CLI application tutorial <http://python-dependency-injector.ets-labs.org/tutorials/cli.html>`_
        
        Concept
        -------
        
        ``Dependency Injector`` stands on two principles:
        
        - Explicit is better than implicit (PEP20).
        - Do no magic to your code.
        
        How is it different from the other frameworks?
        
        - **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)*.
        - **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.
        
        ``Dependency Injector`` makes a simple contract with you:
        
        - You tell the framework how to assemble your objects
        - The framework does it for you
        
        The power of the ``Dependency Injector`` is in its simplicity and straightforwardness. It is a simple tool for the powerful concept.
        
        Frequently asked questions
        --------------------------
        
        What is the dependency injection?
         - dependency injection is a principle that decreases coupling and increases cohesion
        
        Why should I do the dependency injection?
         - your code becomes more flexible, testable and clear
         - you have no problems when you need to understand how it works or change it 😎 
        
        How do I start doing the dependency injection?
         - you start writing the code following the dependency injection principle
         - you register all of your application components and their dependencies in the container
         - when you need a component, you get it from the container
        
        Why do I need a framework for this?
         - you need the framework for this to not create it by your own
         - this framework gives you the container and the providers
         - the container is like a dictionary with the batteries 🔋 
         - the providers manage the lifetime of your components, you will need factories, singletons, smart config object etc
        
        What price do I pay and what do I get?
         - you need to explicitly specify the dependencies in the container
         - it will be extra work in the beginning
         - it will payoff when project grows or in two weeks 😊 (when you forget what project was about)
        
        What features does the framework have?
         - building objects graph
         - smart configuration object
         - providers: factory, singleton, thread locals registers, etc
         - positional and keyword context injections
         - overriding of the objects in any part of the graph
        
        What features the framework does NOT have?
         - autowiring / autoresolving of the dependencies
         - the annotations and ``@inject``-like decorators
        
        Have a question?
         - Open a `Github Issue <https://github.com/ets-labs/python-dependency-injector/issues>`_
        
        Found a bug?
         - Open a `Github Issue <https://github.com/ets-labs/python-dependency-injector/issues>`_
        
        Want to help?
         - |star| Star the ``Dependency Injector`` on the `Github <https://github.com/ets-labs/python-dependency-injector/>`_
         - |new| Start a new project with the ``Dependency Injector``
         - |tell| Tell your friend about the ``Dependency Injector``
        
        Want to contribute?
         - |fork| Fork the project
         - |pull| Open a pull request to the ``develop`` branch
        
        .. _PyPi: https://pypi.org/project/dependency-injector/
        
        .. |star| unicode:: U+2B50 U+FE0F .. star sign1
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        .. |tell| unicode:: U+1F4AC .. tell sign
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        .. |pull| unicode:: U+2B05 U+FE0F .. pull sign
        
Keywords: Dependency injection,DI,Inversion of Control,IoC,Factory,Singleton,Design patterns,Flask
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Framework :: AsyncIO
Classifier: Framework :: Bottle
Classifier: Framework :: Django
Classifier: Framework :: Flask
Classifier: Framework :: Pylons
Classifier: Framework :: Pyramid
Classifier: Framework :: Pytest
Classifier: Framework :: TurboGears
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Provides-Extra: yaml
Provides-Extra: flask
Provides-Extra: aiohttp
