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Refactor aiohttp tutorial conclusion
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@ -840,45 +840,16 @@ In this tutorial we've built an ``aiohttp`` REST API application following the d
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injection principle.
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We've used the ``Dependency Injector`` as a dependency injection framework.
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The benefit you get with the ``Dependency Injector`` is the container. It starts to payoff
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when you need to understand or change your application structure. It's easy with the container,
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cause you have everything defined explicitly in one place:
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:ref:`containers` and :ref:`providers` helped to specify how to assemble search service and
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giphy client.
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.. code-block:: python
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:ref:`configuration-provider` helped to deal with reading YAML file and environment variable.
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"""Application containers module."""
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We used :ref:`wiring` feature to inject the dependencies into the ``index()`` handler.
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:ref:`provider-overriding` feature helped in testing.
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from dependency_injector import containers, providers
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from dependency_injector.ext import aiohttp
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from aiohttp import web
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from . import giphy, services, views
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class ApplicationContainer(containers.DeclarativeContainer):
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"""Application container."""
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app = aiohttp.Application(web.Application)
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config = providers.Configuration()
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giphy_client = providers.Factory(
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giphy.GiphyClient,
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api_key=config.giphy.api_key,
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timeout=config.giphy.request_timeout,
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)
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search_service = providers.Factory(
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services.SearchService,
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giphy_client=giphy_client,
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)
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index_view = aiohttp.View(
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views.index,
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search_service=search_service,
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default_query=config.search.default_query,
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default_limit=config.search.default_limit,
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)
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We kept all the dependencies injected explicitly. This will help when we need to add or
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change something in future.
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You can find complete project on the
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`Github <https://github.com/ets-labs/python-dependency-injector/tree/master/examples/miniapps/aiohttp>`_.
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