Update conclusion of asyncio daemon tutorial

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Roman Mogylatov 2020-10-08 20:15:49 -04:00
parent 214ab50970
commit 0cd3d8c233

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@ -1018,54 +1018,16 @@ In this tutorial we've built an ``asyncio`` monitoring daemon following the dep
injection principle.
We've used the ``Dependency Injector`` as a dependency injection framework.
The benefit you get with the ``Dependency Injector`` is the container. It starts to payoff
when you need to understand or change your application structure. It's easy with the container,
cause you have everything defined explicitly in one place:
With a help of :ref:`containers` and :ref:`providers` we have defined how to assemble application components.
.. code-block:: python
``List`` provider helped to inject a list of monitors into dispatcher.
:ref:`configuration-provider` helped to deal with reading YAML file.
"""Containers module."""
We used :ref:`wiring` feature to inject dispatcher into the ``main()`` function.
:ref:`provider-overriding` feature helped in testing.
import logging
import sys
from dependency_injector import containers, providers
from . import http, monitors, dispatcher
class Container(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,
),
)
We kept all the dependencies injected explicitly. This will help when we need to add or
change something in future.
You can find complete project on the
`Github <https://github.com/ets-labs/python-dependency-injector/tree/master/examples/miniapps/asyncio-daemon>`_.