Bump version to 3.30.1

This commit is contained in:
Roman Mogylatov 2020-08-13 21:53:13 -04:00
parent 3ddf131180
commit f67dab1f03
5 changed files with 120 additions and 105 deletions

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@ -52,7 +52,78 @@ What is ``Dependency Injector``?
``Dependency Injector`` is a dependency injection framework for Python. ``Dependency Injector`` is a dependency injection framework for Python.
It stands on two principles: It provides you with the container and the providers that help you build your application objects:
.. code-block:: python
from dependency_injector import containers, providers
class ApiClient:
def __init__(self, api_key: str, timeout: int):
self.api_key = api_key
self.timeout = timeout
class Service:
def __init__(self, api_client: ApiClient):
self.api_client = api_client
class Container(containers.DeclarativeContainer):
config = providers.Configuration()
api_client = providers.Singleton(
ApiClient,
api_key=config.api_key,
timeout=config.timeout,
)
service = providers.Factory(
Service,
api_client=api_client,
)
if __name__ == '__main__':
container = Container()
container.config.from_yaml('config.yml')
service = container.service()
assert isinstance(service.api_client, ApiClient)
`More examples <https://github.com/ets-labs/python-dependency-injector/tree/master/examples>`_
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/>`_
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). - Explicit is better than implicit (PEP20).
- Do no magic to your code. - Do no magic to your code.
@ -69,110 +140,8 @@ How does it different from the other frameworks?
The power of the ``Dependency Injector`` is in its simplicity and straightforwardness. It is a simple tool for the powerful concept. The power of the ``Dependency Injector`` is in its simplicity and straightforwardness. It is a simple tool for the powerful concept.
Example
=======
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.*
Example application container:
.. code-block:: python
import logging
import sys
from dependency_injector import containers, providers
from . import http, monitors, dispatcher
class ApplicationContainer(containers.DeclarativeContainer):
config = providers.Configuration()
configure_logging = providers.Callable(
logging.basicConfig,
stream=sys.stdout,
level=config.log.level,
format=config.log.format,
)
http_client = providers.Factory(http.HttpClient)
example_monitor = providers.Factory(
monitors.HttpMonitor,
http_client=http_client,
options=config.monitors.example,
)
httpbin_monitor = providers.Factory(
monitors.HttpMonitor,
http_client=http_client,
options=config.monitors.httpbin,
)
dispatcher = providers.Factory(
dispatcher.Dispatcher,
monitors=providers.List(
example_monitor,
httpbin_monitor,
),
)
Example of running of such application:
.. code-block:: python
from .containers import ApplicationContainer
def main() -> None:
container = ApplicationContainer()
container.config.from_yaml('config.yml')
container.configure_logging()
dispatcher = container.dispatcher()
dispatcher.run()
if __name__ == '__main__':
main()
Tutorials
=========
Tutorial is a good point to start.
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>`_
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/>`_
Frequently asked questions Frequently asked questions
========================== --------------------------
What is the dependency injection? What is the dependency injection?
- dependency injection is a principle that decreases coupling and increases cohesion - dependency injection is a principle that decreases coupling and increases cohesion

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@ -7,6 +7,11 @@ that were made in every particular version.
From version 0.7.6 *Dependency Injector* framework strictly From version 0.7.6 *Dependency Injector* framework strictly
follows `Semantic versioning`_ follows `Semantic versioning`_
3.30.1
------
- Update README.
- Add one more example.
3.30.0 3.30.0
------ ------
- Rework ``Movie Lister`` example. - Rework ``Movie Lister`` example.

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@ -0,0 +1,2 @@
api_key: test-key
timeout: 5

39
examples/di_demo2/demo.py Normal file
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@ -0,0 +1,39 @@
from dependency_injector import containers, providers
class ApiClient:
def __init__(self, api_key: str, timeout: int):
self.api_key = api_key
self.timeout = timeout
class Service:
def __init__(self, api_client: ApiClient):
self.api_client = api_client
class Container(containers.DeclarativeContainer):
config = providers.Configuration()
api_client = providers.Singleton(
ApiClient,
api_key=config.api_key,
timeout=config.timeout,
)
service = providers.Factory(
Service,
api_client=api_client,
)
if __name__ == '__main__':
container = Container()
container.config.from_yaml('config.yml')
service = container.service()
assert isinstance(service.api_client, ApiClient)

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@ -1,6 +1,6 @@
"""Dependency injector top-level package.""" """Dependency injector top-level package."""
__version__ = '3.30.0' __version__ = '3.30.1'
"""Version number that follows semantic versioning. """Version number that follows semantic versioning.
:type: str :type: str