python-dependency-injector/docs/providers/singleton.rst

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Singleton provider
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==================
.. meta::
:keywords: Python,DI,Dependency injection,IoC,Inversion of Control,Singleton,Pattern,Example,
Threads,Multithreading,Scoped
:description: Singleton provider helps to provide a single object. This page
demonstrates how to use a Singleton provider. It also provides the example
of using a singleton and thread locals singleton in the multi-threaded
environment.
.. currentmodule:: dependency_injector.providers
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:py:class:`Singleton` provider provides single object. It memorizes the first created object and
returns it on the rest of the calls.
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.. literalinclude:: ../../examples/providers/singleton.py
:language: python
:lines: 3-
``Singleton`` provider handles an injection of the dependencies the same way like a
:ref:`factory-provider`.
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.. note::
``Singleton`` provider does dependencies injection only when creates the object. When the object
is created and memorized ``Singleton`` provider just returns it without applying the injections.
Specialization of the provided type and abstract singletons work the same like like for the
factories:
- :ref:`factory-specialize-provided-type`
- :ref:`abstract-factory`
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``Singleton`` provider scope is tied to the container. Two different containers will provider
two different singleton objects:
.. literalinclude:: ../../examples/providers/singleton_multiple_containers.py
:language: python
:lines: 3-
Resetting memorized object
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--------------------------
To reset a memorized object you need to call the ``.reset()`` method of the ``Singleton``
provider.
.. literalinclude:: ../../examples/providers/singleton_resetting.py
:language: python
:lines: 3-
:emphasize-lines: 18
.. note::
Resetting of the memorized object clears the reference to it. Further object's lifecycle is
managed by the garbage collector.
Using singleton with multiple threads
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-------------------------------------
``Singleton`` provider is NOT thread-safe. You need to explicitly establish a synchronization for
using the ``Singleton`` provider in the multi-threading application. Otherwise you could trap
into the race condition problem: ``Singleton`` will create multiple objects.
There are two thread-safe singleton implementations out of the box:
+ :py:class:`ThreadSafeSingleton` - is a thread-safe version of a ``Singleton`` provider. You can use
in multi-threading applications without additional synchronization.
+ :py:class:`ThreadLocalSingleton` - is a singleton provider that uses thread-locals as a storage.
This type of singleton will manage multiple objects - the one object for the one thread.
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.. literalinclude:: ../../examples/providers/singleton_thread_locals.py
:language: python
:lines: 3-
:emphasize-lines: 13,15
Implementing scopes
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-------------------
To implement a scoped singleton provider use a ``Singleton`` provider and reset its scope when
needed.
.. literalinclude:: ../../examples/providers/singleton_scoped.py
:language: python
:lines: 3-
The output should look like this (each request a ``Service`` object has a different address):
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.. code-block:: bash
* Serving Flask app "singleton_scoped" (lazy loading)
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: off
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
<__main__.Service object at 0x1099a9d90>
127.0.0.1 - - [25/Aug/2020 17:33:11] "GET / HTTP/1.1" 200 -
<__main__.Service object at 0x1099a9cd0>
127.0.0.1 - - [25/Aug/2020 17:33:17] "GET / HTTP/1.1" 200 -
<__main__.Service object at 0x1099a9d00>
127.0.0.1 - - [25/Aug/2020 17:33:18] "GET / HTTP/1.1" 200 -
<__main__.Service object at 0x1099a9e50>
127.0.0.1 - - [25/Aug/2020 17:33:18] "GET / HTTP/1.1" 200 -
<__main__.Service object at 0x1099a9d90>
127.0.0.1 - - [25/Aug/2020 17:33:18] "GET / HTTP/1.1" 200 -
.. disqus::