threaded
========
.. image:: https://github.com/python-useful-helpers/threaded/workflows/Python%20package/badge.svg
:target: https://github.com/python-useful-helpers/threaded/actions
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:target: https://coveralls.io/github/python-useful-helpers/threaded?branch=master
.. image:: https://readthedocs.org/projects/threaded/badge/?version=latest
:target: https://threaded.readthedocs.io/
:alt: Documentation Status
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:target: https://pypi.python.org/pypi/threaded
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:target: https://pypi.python.org/pypi/threaded
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:target: https://github.com/ambv/black
threaded is a set of decorators, which wrap functions in:
* `concurrent.futures.ThreadPool`
* `threading.Thread`
* `asyncio.Task` in Python 3.
Why? Because copy-paste of `loop.create_task`, `threading.Thread` and `thread_pool.submit` is boring,
especially if target functions is used by this way only.
Pros:
* Free software: Apache license
* Open Source: https://github.com/python-useful-helpers/threaded
* PyPI packaged: https://pypi.python.org/pypi/threaded
* Tested: see bages on top
Decorators:
* `ThreadPooled` - native ``concurrent.futures.ThreadPool``.
* `threadpooled` is alias for `ThreadPooled`.
* `Threaded` - wrap in ``threading.Thread``.
* `threaded` is alias for `Threaded`.
* `AsyncIOTask` - wrap in ``asyncio.Task``. Uses the same API, as `ThreadPooled`.
* `asynciotask` is alias for `AsyncIOTask`.
Usage
=====
ThreadPooled
------------
Mostly it is required decorator: submit function to ThreadPoolExecutor on call.
.. code-block:: python
threaded.ThreadPooled.configure(max_workers=3)
.. note::
By default, if executor is not configured - it configures with default parameters: ``max_workers=CPU_COUNT * 5``
.. code-block:: python
@threaded.ThreadPooled
def func():
pass
concurrent.futures.wait([func()])
Usage with asyncio:
.. note::
if `loop_getter` is not callable, `loop_getter_need_context` is ignored.
.. code-block:: python
loop = asyncio.get_event_loop()
@threaded.ThreadPooled(loop_getter=loop, loop_getter_need_context=False)
def func():
pass
loop.run_until_complete(asyncio.wait_for(func(), timeout))
Python 3.5+ usage with asyncio and loop extraction from call arguments:
.. code-block:: python
loop_getter = lambda tgt_loop: tgt_loop
@threaded.ThreadPooled(loop_getter=loop_getter, loop_getter_need_context=True) # loop_getter_need_context is required
def func(*args, **kwargs):
pass
loop = asyncio.get_event_loop()
loop.run_until_complete(asyncio.wait_for(func(loop), timeout))
During application shutdown, pool can be stopped (while it will be recreated automatically, if some component will request).
.. code-block:: python
threaded.ThreadPooled.shutdown()
Threaded
--------
Classic ``threading.Thread``. Useful for running until close and self-closing threads without return.
Usage example:
.. code-block:: python
@threaded.Threaded
def func(*args, **kwargs):
pass
thread = func()
thread.start()
thread.join()
Without arguments, thread name will use pattern: ``'Threaded: ' + func.__name__``
.. note::
If func.__name__ is not accessible, str(hash(func)) will be used instead.
Override name can be don via corresponding argument:
.. code-block:: python
@threaded.Threaded(name='Function in thread')
def func(*args, **kwargs):
pass
Thread can be daemonized automatically:
.. code-block:: python
@threaded.Threaded(daemon=True)
def func(*args, **kwargs):
pass
Also, if no any addition manipulations expected before thread start,
it can be started automatically before return:
.. code-block:: python
@threaded.Threaded(started=True)
def func(*args, **kwargs):
pass
AsyncIOTask
-----------
Wrap in ``asyncio.Task``.
usage with asyncio:
.. code-block:: python
@threaded.AsyncIOTask
def func():
pass
loop = asyncio.get_event_loop()
loop.run_until_complete(asyncio.wait_for(func(), timeout))
Provide event loop directly:
.. note::
if `loop_getter` is not callable, `loop_getter_need_context` is ignored.
.. code-block:: python
loop = asyncio.get_event_loop()
@threaded.AsyncIOTask(loop_getter=loop)
def func():
pass
loop.run_until_complete(asyncio.wait_for(func(), timeout))
Usage with loop extraction from call arguments:
.. code-block:: python
loop_getter = lambda tgt_loop: tgt_loop
@threaded.AsyncIOTask(loop_getter=loop_getter, loop_getter_need_context=True)
def func(*args, **kwargs):
pass
loop = asyncio.get_event_loop()
loop.run_until_complete(asyncio.wait_for(func(loop), timeout))
Testing
=======
The main test mechanism for the package `threaded` is using `tox`.
Available environments can be collected via `tox -l`
CI systems
==========
For code checking several CI systems is used in parallel:
2. `GitHub actions: <https://github.com/python-useful-helpers/threaded/actions>`_ is used for checking: PEP8, pylint, bandit, installation possibility and unit tests.
3. `coveralls: <https://coveralls.io/github/python-useful-helpers/threaded>`_ is used for coverage display.
CD system
=========
`GitHub actions: <https://github.com/python-useful-helpers/threaded/actions>`_ is used for package delivery on PyPI.
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"description": "threaded\n========\n\n.. image:: https://github.com/python-useful-helpers/threaded/workflows/Python%20package/badge.svg\n :target: https://github.com/python-useful-helpers/threaded/actions\n.. image:: https://coveralls.io/repos/github/python-useful-helpers/threaded/badge.svg?branch=master\n :target: https://coveralls.io/github/python-useful-helpers/threaded?branch=master\n.. image:: https://readthedocs.org/projects/threaded/badge/?version=latest\n :target: https://threaded.readthedocs.io/\n :alt: Documentation Status\n.. image:: https://img.shields.io/pypi/v/threaded.svg\n :target: https://pypi.python.org/pypi/threaded\n.. image:: https://img.shields.io/pypi/pyversions/threaded.svg\n :target: https://pypi.python.org/pypi/threaded\n.. image:: https://img.shields.io/pypi/status/threaded.svg\n :target: https://pypi.python.org/pypi/threaded\n.. image:: https://img.shields.io/github/license/python-useful-helpers/threaded.svg\n :target: https://raw.githubusercontent.com/python-useful-helpers/threaded/master/LICENSE\n.. image:: https://img.shields.io/badge/code%20style-black-000000.svg\n :target: https://github.com/ambv/black\n\nthreaded is a set of decorators, which wrap functions in:\n\n * `concurrent.futures.ThreadPool`\n * `threading.Thread`\n * `asyncio.Task` in Python 3.\n\nWhy? Because copy-paste of `loop.create_task`, `threading.Thread` and `thread_pool.submit` is boring,\nespecially if target functions is used by this way only.\n\nPros:\n\n* Free software: Apache license\n* Open Source: https://github.com/python-useful-helpers/threaded\n* PyPI packaged: https://pypi.python.org/pypi/threaded\n* Tested: see bages on top\n\nDecorators:\n\n* `ThreadPooled` - native ``concurrent.futures.ThreadPool``.\n* `threadpooled` is alias for `ThreadPooled`.\n\n* `Threaded` - wrap in ``threading.Thread``.\n* `threaded` is alias for `Threaded`.\n\n* `AsyncIOTask` - wrap in ``asyncio.Task``. Uses the same API, as `ThreadPooled`.\n* `asynciotask` is alias for `AsyncIOTask`.\n\nUsage\n=====\n\nThreadPooled\n------------\nMostly it is required decorator: submit function to ThreadPoolExecutor on call.\n\n.. code-block:: python\n\n threaded.ThreadPooled.configure(max_workers=3)\n\n.. note::\n\n By default, if executor is not configured - it configures with default parameters: ``max_workers=CPU_COUNT * 5``\n\n.. code-block:: python\n\n @threaded.ThreadPooled\n def func():\n pass\n\n concurrent.futures.wait([func()])\n\nUsage with asyncio:\n\n.. note::\n\n if `loop_getter` is not callable, `loop_getter_need_context` is ignored.\n\n.. code-block:: python\n\n loop = asyncio.get_event_loop()\n @threaded.ThreadPooled(loop_getter=loop, loop_getter_need_context=False)\n def func():\n pass\n\n loop.run_until_complete(asyncio.wait_for(func(), timeout))\n\nPython 3.5+ usage with asyncio and loop extraction from call arguments:\n\n.. code-block:: python\n\n loop_getter = lambda tgt_loop: tgt_loop\n @threaded.ThreadPooled(loop_getter=loop_getter, loop_getter_need_context=True) # loop_getter_need_context is required\n def func(*args, **kwargs):\n pass\n\n loop = asyncio.get_event_loop()\n loop.run_until_complete(asyncio.wait_for(func(loop), timeout))\n\nDuring application shutdown, pool can be stopped (while it will be recreated automatically, if some component will request).\n\n.. code-block:: python\n\n threaded.ThreadPooled.shutdown()\n\nThreaded\n--------\nClassic ``threading.Thread``. Useful for running until close and self-closing threads without return.\n\nUsage example:\n\n.. code-block:: python\n\n @threaded.Threaded\n def func(*args, **kwargs):\n pass\n\n thread = func()\n thread.start()\n thread.join()\n\nWithout arguments, thread name will use pattern: ``'Threaded: ' + func.__name__``\n\n.. note::\n\n If func.__name__ is not accessible, str(hash(func)) will be used instead.\n\nOverride name can be don via corresponding argument:\n\n.. code-block:: python\n\n @threaded.Threaded(name='Function in thread')\n def func(*args, **kwargs):\n pass\n\nThread can be daemonized automatically:\n\n.. code-block:: python\n\n @threaded.Threaded(daemon=True)\n def func(*args, **kwargs):\n pass\n\nAlso, if no any addition manipulations expected before thread start,\nit can be started automatically before return:\n\n.. code-block:: python\n\n @threaded.Threaded(started=True)\n def func(*args, **kwargs):\n pass\n\nAsyncIOTask\n-----------\nWrap in ``asyncio.Task``.\n\nusage with asyncio:\n\n.. code-block:: python\n\n @threaded.AsyncIOTask\n def func():\n pass\n\n loop = asyncio.get_event_loop()\n loop.run_until_complete(asyncio.wait_for(func(), timeout))\n\nProvide event loop directly:\n\n.. note::\n\n if `loop_getter` is not callable, `loop_getter_need_context` is ignored.\n\n.. code-block:: python\n\n loop = asyncio.get_event_loop()\n @threaded.AsyncIOTask(loop_getter=loop)\n def func():\n pass\n\n loop.run_until_complete(asyncio.wait_for(func(), timeout))\n\nUsage with loop extraction from call arguments:\n\n.. code-block:: python\n\n loop_getter = lambda tgt_loop: tgt_loop\n @threaded.AsyncIOTask(loop_getter=loop_getter, loop_getter_need_context=True)\n def func(*args, **kwargs):\n pass\n\n loop = asyncio.get_event_loop()\n loop.run_until_complete(asyncio.wait_for(func(loop), timeout))\n\nTesting\n=======\nThe main test mechanism for the package `threaded` is using `tox`.\nAvailable environments can be collected via `tox -l`\n\nCI systems\n==========\nFor code checking several CI systems is used in parallel:\n\n2. `GitHub actions: <https://github.com/python-useful-helpers/threaded/actions>`_ is used for checking: PEP8, pylint, bandit, installation possibility and unit tests.\n3. `coveralls: <https://coveralls.io/github/python-useful-helpers/threaded>`_ is used for coverage display.\n\nCD system\n=========\n`GitHub actions: <https://github.com/python-useful-helpers/threaded/actions>`_ is used for package delivery on PyPI.\n",
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