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async-property

Python decorator for async properties.

  • 0.2.2
  • PyPI
  • Socket score

Maintainers
1

============== async_property

.. image:: https://img.shields.io/pypi/v/async_property.svg :target: https://pypi.org/project/async-property/

.. image:: https://app.travis-ci.com/ryananguiano/async_property.svg?branch=master :target: https://app.travis-ci.com/github/ryananguiano/async_property

.. image:: https://readthedocs.org/projects/async-property/badge/?version=latest :target: https://async-property.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status

.. image:: https://pyup.io/repos/github/ryananguiano/async_property/shield.svg :target: https://pyup.io/repos/github/ryananguiano/async_property/ :alt: Updates

Python decorator for async properties.

Install

To install async_property, run this command in your terminal:

.. code-block:: console

$ pip install async-property

Or if you have pipenv:

.. code-block:: console

$ pipenv install async-property

Usage

You can use @async_property just as you would with @property, but on an async function.

.. code-block:: python

class Foo:
    @async_property
    async def remote_value(self):
        return await get_remote_value()

The property remote_value now returns an awaitable coroutine.

.. code-block:: python

instance = Foo()
await instance.remote_value

Cached Properties


``@async_cached_property`` will call the function only once. Subsequent awaits to the property will return a cached value.

.. code-block:: python

    class Foo:
        @async_cached_property
        async def value(self):
            print('loading value')
            return 123

    >>> instance = Foo()
    >>> instance.value
    <AwaitableOnly "Foo.value">

    >>> await instance.value
    loading value
    123
    >>> await instance.value
    123
    >>> instance.value
    123

    >>> instance.value = 'abc'
    >>> instance.value
    'abc'
    >>> await instance.value
    'abc'

    >>> del instance.value
    >>> await instance.value
    loading value
    123


AwaitLoader
~~~~~~~~~~~

If you have an object with multiple cached properties, you can subclass ``AwaitLoader``. This will make your class instances awaitable and will load all ``@async_cached_property`` fields concurrently. ``AwaitLoader`` will call ``await instance.load()``, if it exists, before loading properties.

.. code-block:: python


    class Foo(AwaitLoader):
        async def load(self):
            print('load called')

        @async_cached_property
        async def db_lookup(self):
            return 'success'

        @async_cached_property
        async def api_call(self):
            print('calling api')
            return 'works every time'

    >>> instance = await Foo()
    load called
    calling api
    >>> instance.db_lookup
    'success'
    >>> instance.api_call
    'works every time'

Features
--------

* Both regular and cached property.
* Cached properties can be accessed multiple times without repeating function call.
* Uses asyncio.Lock to ensure cached functions are called only once.
* Full test coverage with py.test


Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


The ObjectProxy_ class was taken from wrapt_ library by Graham Dumpleton.

.. _ObjectProxy: https://github.com/GrahamDumpleton/wrapt/blob/master/src/wrapt/wrappers.py
.. _wrapt: https://github.com/GrahamDumpleton/wrapt


=======
History
=======

0.2.2 (2023-07-03)
------------------

* Add Python 3.11 support and drop Python 3.6.

0.2.1 (2019-04-13)
------------------

* Update docs and readme

0.2.0 (2019-04-12)
------------------

* Use instance state to hold cache and locks

0.1.4 (2019-04-12)
------------------

* Fix inheritance issues on AwaitLoader

0.1.3 (2019-04-12)
------------------

* Cleanup code

0.1.2 (2019-04-12)
------------------

* Fix asyncio.Lock issues

0.1.1 (2019-04-11)
------------------

* Complete test coverage and update readme


0.1.0 (2019-04-11)
------------------

* First release on PyPI.

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