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Run your task asynchronously and control/communicate with them.

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Run your task asynchronously in the background and control/communicate with them.

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Basic use case of is to run some unit of work asynchronously (in a separate thread or process) while being able to control and communicate with that unit of work. Example:

Lets define a simple_task that:

  • Expects some arguments
  • Does some work (sleep) until signaled to stop
  • return “done.” as final result

` >>> def simple_task(t): # will receive a Task instance as first argument ...     assert t.args[0] == 'hello' ...     assert t.kwargs['world'] == 'world' ...     while not t.stopped(): ...         time.sleep(0.1) ...     return 'done.' `

Next, create a Task instance with simple_task as unit to work. Additionally specify arguments expected by our sleep_task:

` >>> t1 = Task(simple_task, 'hello', world='world') >>> >>> # start our task asynchronously >>> t1.start() >>> >>> # after 1 second signal our task to stop >>> time.sleep(1) >>> t1.stop() >>> >>> t1.done True >>> >>> t1.result 'done.' >>> >>> t1.exception == None True `

Lets create a new Task instance, this time skipping the expected arguments:

` >>> t2 = Task(simple_task) >>> >>> # start our task asynchronously >>> t2.start() >>> >>> t2.done True >>> >>> # No result found >>> t2.result == None True >>> >>> # our task raised an exception >>> t2.exception IndexError('tuple index out of range',) `

Communicating with Task

Task provide a communication queue over which external threads can send data to the executing unit of work. Example:

Lets define a sleep_task which will receive amount of time to sleep over the communication queue:

` >>> def sleep_task(t): ...     secs = t.recv() # recv API, default blocks until we have some data ...     time.sleep(int(secs)) ... >>> t3 = Task(sleep_task) >>> t3.start() >>> >>> # our task is waiting >>> t3.done False >>> >>> # send 1 sec sleep time >>> t3.send(1) >>> >>> # alright, done >>> t3.done True `

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