generated from daniil-berg/boilerplate-py
88 lines
4.0 KiB
Python
88 lines
4.0 KiB
Python
__author__ = "Daniil Fajnberg"
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__copyright__ = "Copyright © 2022 Daniil Fajnberg"
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__license__ = """GNU LGPLv3.0
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This file is part of asyncio-taskpool.
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asyncio-taskpool is free software: you can redistribute it and/or modify it under the terms of
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version 3.0 of the GNU Lesser General Public License as published by the Free Software Foundation.
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asyncio-taskpool is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
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without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
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See the GNU Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public License along with asyncio-taskpool.
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If not, see <https://www.gnu.org/licenses/>."""
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__doc__ = """
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Working example of a UnixControlServer in combination with the SimpleTaskPool.
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Use the main CLI client to interface at the socket.
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"""
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import asyncio
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import logging
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from asyncio_taskpool import SimpleTaskPool, UnixControlServer
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from asyncio_taskpool.constants import PACKAGE_NAME
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logging.getLogger().setLevel(logging.NOTSET)
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logging.getLogger(PACKAGE_NAME).addHandler(logging.StreamHandler())
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async def work(item: int) -> None:
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"""The non-blocking sleep simulates something like an I/O operation that can be done asynchronously."""
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await asyncio.sleep(1)
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print("worked on", item)
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async def worker(q: asyncio.Queue) -> None:
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"""Simulates doing asynchronous work that takes a little bit of time to finish."""
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# We only want the worker to stop, when its task is cancelled; therefore we start an infinite loop.
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while True:
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# We want to block here, until we can get the next item from the queue.
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item = await q.get()
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# Since we want a nice cleanup upon cancellation, we put the "work" to be done in a `try:` block.
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try:
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await work(item)
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except asyncio.CancelledError:
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# If the task gets cancelled before our current "work" item is finished, we put it back into the queue
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# because a worker must assume that some other worker can and will eventually finish the work on that item.
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q.put_nowait(item)
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# This takes us out of the loop. To enable cleanup we must re-raise the exception.
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raise
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finally:
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# Since putting an item into the queue (even if it has just been taken out), increments the internal
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# `._unfinished_tasks` counter in the queue, we must ensure that it is decremented before we end the
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# iteration or leave the loop. Otherwise, the queue's `.join()` will block indefinitely.
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q.task_done()
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async def main() -> None:
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# First, we set up a queue of items that our workers can "work" on.
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q = asyncio.Queue()
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# We just put some integers into our queue, since all our workers actually do, is print an item and sleep for a bit.
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for item in range(100):
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q.put_nowait(item)
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pool = SimpleTaskPool(worker, (q,)) # initializes the pool
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await pool.start(3) # launches three worker tasks
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control_server_task = await UnixControlServer(pool, path='/tmp/py_asyncio_taskpool.sock').serve_forever()
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# We block until `.task_done()` has been called once by our workers for every item placed into the queue.
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await q.join()
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# Since we don't need any "work" done anymore, we can lock our control server by cancelling the task.
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control_server_task.cancel()
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# Since our workers should now be stuck waiting for more items to pick from the queue, but no items are left,
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# we can now safely cancel their tasks.
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pool.stop_all()
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pool.lock()
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# Finally we allow for all tasks to do do their cleanup, if they need to do any, upon being cancelled.
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# We block until they all return or raise an exception, but since we are not interested in any of their exceptions,
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# we just silently collect their exceptions along with their return values.
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await pool.gather(return_exceptions=True)
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await control_server_task
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if __name__ == '__main__':
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asyncio.run(main())
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