Decorator for logging function arguments and return value by human-readable way
Project description
threaded
threaded is a set of decorators, which wrap functions in concurrent.futures.ThreadPool and asyncio.Task in Python 3. Why? Because copy-paste of loop.create_task 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/penguinolog/threaded
PyPI packaged: https://pypi-hypernode.com/pypi/threaded
Tested: see bages on top
Support multiple Python versions:
Python 2.7 Python 3.4 Python 3.5 Python 3.6 PyPy PyPy3 3.5+ Jyton 2.7
Decorators:
ThreadPooled - native concurrent.futures.ThreadPool usage on Python 3 and backport on Python 2.7.
Threaded - wrap in threading.Thread.
AsyncIOTask - wrap in asyncio.Task. Uses the same API, as Python 3 ThreadPooled.
Usage
ThreadPooled
Mostly it is required decorator: submit function to ThreadPoolExecutor on call.
Python 2.7 usage from signature:
threaded.ThreadPooled.configure(max_workers=None) # Not mandatory.
# max_workers=None means (CPU_COUNT or 1) * 5, it's default value.
@threaded.ThreadPooled # Arguments not accepted, so `()` is useless
def func():
pass
concurrent.futures.wait([func()])Python 3.3+ usage from signature:
threaded.ThreadPooled.configure(max_workers=None)
@threaded.ThreadPooled(loop_getter=None, loop_getter_need_context=False) # strictly keyword arguments. See details below.
# For standard concurrent.futures, arguments is useless and should be omitted (use like Python 2 version)
def func():
pass
concurrent.futures.wait([func()])Python 3.3+ usage with asyncio:
loop = asyncio.get_event_loop()
threaded.ThreadPooled.configure(max_workers=None)
@threaded.ThreadPooled(loop_getter=loop, loop_getter_need_context=False) # provide loop directly -> loop_getter_need_context will be ignored
def func():
pass
loop.run_until_complete(asyncio.wait_for(func(), timeout)) # func() will return asyncio.Task bound with decorator argument.Python 3.3+ usage with asyncio and loop extraction from call arguments:
loop_getter = lambda tgt_loop: tgt_loop
threaded.ThreadPooled.configure(max_workers=None)
@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)) # func() will return asyncio.Task bound with loop from argument.Threaded
Classic threading.Thread. Useful for running until close and self-closing threads without return.
Usage example with all arguments:
@threaded.Threaded(name=None, daemon=False, started=False) # All defaults. Name will be used from wrapped function.
def func(*args, **kwargs):
pass
thread = func()
thread.start()
thread.join()If need to use wit all defaults, arguments may be completely omitted:
@threaded.Threaded
def func(*args, **kwargs):
passAsyncIOTask
Wrap in asyncio.Task.
usage with asyncio:
loop = asyncio.get_event_loop()
threaded.ThreadPooled.configure(max_workers=None)
@threaded.ThreadPooled(loop_getter=loop, loop_getter_need_context=False) # provide loop directly -> loop_getter_need_context will be ignored
# By default asyncio.get_event_loop is used, so technically, with single asyncio loop, we can use without arguments.
def func():
pass
loop.run_until_complete(asyncio.wait_for(func(), timeout)) # func() will return asyncio.Task bound with decorator argument.Usage with asyncio and loop extraction from call arguments:
loop_getter = lambda tgt_loop: tgt_loop
threaded.ThreadPooled.configure(max_workers=None)
@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)) # func() will return asyncio.Task bound with loop from argument.Testing
The main test mechanism for the package threaded is using tox. Test environments available:
pep8 py27 py34 py35 py36 pypy pypy3 pylint
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