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pyxqueue

点击中文版 README进入中文文档。

a multi-processes task queue using redis streams.

install

pyxqueue uses some feature of python 3.7, so you should use python 3.7 or newer.

pip install pyxqueue

Usage

background task

import time

import redis
from pyxqueue import TaskQueue

client = redis.Redis()
queue = TaskQueue(client, stream_key='background-task')


@queue.task
def sleep(n):
    print(f'going to sleep for {n} seconds')
    time.sleep(n)
    print(f'woke up after {n} seconds')


if __name__ == '__main__':
    import sys
    usage = 'Usage: python background-task.py (worker | test)'
    if len(sys.argv) != 2:
        print(usage)
    elif sys.argv[1] == 'worker':
        queue.run()
    elif sys.argv[1] == 'test':
        sleep(2)
    else:
        print(usage)

rpc

import redis
from pyxqueue import TaskQueue

client = redis.Redis()
queue = TaskQueue(client, stream_key='rpc')


@queue.task
def fib(n):
    a, b = 0, 1
    for _ in range(n):
        a, b = b, a + b
    return b


if __name__ == '__main__':
    import sys
    usage = 'Usage: python rpc.py (worker | test)'
    if len(sys.argv) != 2:
        print(usage)
    elif sys.argv[1] == 'worker':
        queue.run()
    elif sys.argv[1] == 'test':
        fib_100k_result = fib(100_000)
        print(f'100kth fib number starts ends with: {str(fib_100k_result.get())[-6:]}')
    else:
        print(usage)

task info

>>> task_id = b'1551943344215-0'
>>> queue.get_task(task_id)
{
    'task_id': b'1551943344215-0',
    'info': {
        'state': 2,
        'value': None,
        'worker': 'worker-1-66202570-40a9-11e9-bc87-00163e0eb975',
        'update_time': 1551943344
    },
    'data': {
        b'task': b'{"task_name": "queues.spider.download", "args": [75], "kwargs": {}}'
    }
}

progress

import time

import redis
from pyxqueue import TaskQueue

client = redis.Redis()
queue = TaskQueue(client, stream_key='progress')


@queue.task
def long_work():
    for i in range(100):
        queue.update_task_progress(i)
        time.sleep(1)


if __name__ == '__main__':
    import sys
    usage = 'Usage: python progress.py (worker | test)'
    if len(sys.argv) != 2:
        print(usage)
    elif sys.argv[1] == 'worker':
        queue.run()
    elif sys.argv[1] == 'test':
        long_work()
    else:
        print(usage)

notes

this package is heavily inspired from: http://charlesleifer.com/blog/multi-process-task-queue-using-redis-streams/

pyxqueue's People

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pyxqueue's Issues

Fetching issue with `xpending_range`

I'm getting this issue while implement
How to resolve this issue unable to understand?

(venv) xxxx@xxxxx:~/$ python3 app.py 1 worker processes started. Press Ctrl+C to exit. Process Process-1: Traceback (most recent call last): File "/usr/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/usr/lib/python3.8/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "venv/lib/python3.8/site-packages/pyxqueue.py", line 250, in run pending_resp = self.client.xpending_range( TypeError: xpending_range() missing 2 required positional arguments: 'min' and 'max'

This is my code:

`client = redis.Redis()
queue = TaskQueue(client, stream_key='background-task')

@queue.task
def sleep(n):
print(f'going to sleep for {n} seconds')
time.sleep(n)
print(f'woke up after {n} seconds')

if name == "main":
queue.run(1)
app.run(host='0.0.0.0', port=PORT, threaded=True, load_dotenv=True, debug=DEBUG)
`

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