python-dependency-injector/README.rst
2020-08-10 21:48:09 -04:00

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What is ``Dependency Injector``?
================================
``Dependency Injector`` is a dependency injection framework for Python.
The power of the framework is in its simplicity and straightforwardness.
It stands on two principles:
- Explicit is better than implicit (PEP20).
- Do no magic to your code.
How does 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`` follows a simple contract with you:
- You tell the framework how to build you code
- The framework does it for you
``Dependency Injector`` is a simple tool for the powerful concept.
People often ask
----------------
Here is a short summary of what is often asked about the dependency injection and the Dependency Injector.
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?
auto wiring / auto resolving of the dependencies
the annotations and ``@inject``-like decorators
Why do I need it?
=================
``Dependency Injector`` helps you understand and change the structure of the application.
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.
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*The container is like a map of your application. You always know what depends on what.*
``Flask`` + ``Dependency Injector`` example application container:
.. code-block:: python
from dependency_injector import containers, providers
from dependency_injector.ext import flask
from flask import Flask
from flask_bootstrap import Bootstrap
from github import Github
from . import views, services
class ApplicationContainer(containers.DeclarativeContainer):
"""Application container."""
app = flask.Application(Flask, __name__)
bootstrap = flask.Extension(Bootstrap)
config = providers.Configuration()
github_client = providers.Factory(
Github,
login_or_token=config.github.auth_token,
timeout=config.github.request_timeout,
)
search_service = providers.Factory(
services.SearchService,
github_client=github_client,
)
index_view = flask.View(
views.index,
search_service=search_service,
default_query=config.search.default_query,
default_limit=config.search.default_limit,
)
Running such container looks like this:
.. code-block:: python
from .containers import ApplicationContainer
def create_app():
"""Create and return Flask application."""
container = ApplicationContainer()
container.config.from_yaml('config.yml')
container.config.github.auth_token.from_env('GITHUB_TOKEN')
app = container.app()
app.container = container
bootstrap = container.bootstrap()
bootstrap.init_app(app)
app.add_url_rule('/', view_func=container.index_view.as_view())
return app
And testing looks like:
.. code-block:: python
from unittest import mock
import pytest
from github import Github
from flask import url_for
from .application import create_app
@pytest.fixture
def app():
return create_app()
def test_index(client, app):
github_client_mock = mock.Mock(spec=Github)
# Configure mock
with app.container.github_client.override(github_client_mock):
response = client.get(url_for('index'))
assert response.status_code == 200
# Do more asserts
See complete example here - `Flask + Dependency Injector Example <https://github.com/ets-labs/python-dependency-injector/tree/master/examples/miniapps/ghnav-flask>`_
How to install?
---------------
- The package is available on the `PyPi`_::
pip install dependency-injector
Where is the docs?
------------------
- The documentation is available on the `Read The Docs <http://python-dependency-injector.ets-labs.org/>`_
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/
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