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Update resource docs

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Roman Mogylatov 2021-09-29 17:36:37 -04:00
parent 9a43ee7e88
commit d8bb4a3bd8
2 changed files with 9 additions and 9 deletions
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12
docs/providers/resource.rst
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@ -98,7 +98,7 @@ you configure global resource:
configure_logging = providers.Resource(
logging.config.fileConfig,
fname='logging.ini',
fname="logging.ini",
)
Function initializer does not provide a way to specify custom resource shutdown.
@ -210,8 +210,8 @@ first argument.
.. _resource-provider-wiring-closing:
Resources, wiring and per-function execution scope
--------------------------------------------------
Resources, wiring, and per-function execution scope
---------------------------------------------------
You can compound ``Resource`` provider with :ref:`wiring` to implement per-function
execution scope. For doing this you need to use additional ``Closing`` marker from
@ -220,7 +220,7 @@ execution scope. For doing this you need to use additional ``Closing`` marker fr
.. literalinclude:: ../../examples/wiring/flask_resource_closing.py
:language: python
:lines: 3-
:emphasize-lines: 24
:emphasize-lines: 22
Framework initializes and injects the resource into the function. With the ``Closing`` marker
framework calls resource ``shutdown()`` method when function execution is over.
@ -325,7 +325,7 @@ When you use resource provider with asynchronous initializer you need to call it
connection = await container.connection.shutdown()
if __name__ == '__main__':
if __name__ == "__main__":
asyncio.run(main())
Container ``init_resources()`` and ``shutdown_resources()`` methods should be used asynchronously if there is
@ -349,7 +349,7 @@ at least one asynchronous resource provider:
await container.shutdown_resources()
if __name__ == '__main__':
if __name__ == "__main__":
asyncio.run(main())
See also:

6
examples/providers/resource.py
View File

@ -29,12 +29,12 @@ class Container(containers.DeclarativeContainer):
)
if __name__ == '__main__':
container = Container(config={'max_workers': 4})
if __name__ == "__main__":
container = Container(config={"max_workers": 4})
container.init_resources()
logging.info('Resources are initialized')
logging.info("Resources are initialized")
thread_pool = container.thread_pool()
thread_pool.map(print, range(10))