Delayed is a simple but robust task queue inspired by rq.

• Robust: all the enqueued tasks will run exactly once, even if the worker got killed at any time.
• Clean: finished tasks (including failed) take no space of your Redis.
• Distributed: workers as more as needed can run in the same time without further config.
• Portable: its Go and Python version can call each other.

1. Python 3.7 or later, tested on CPython 3.7 - 3.12. Versions before 1.0 have also been tested on CPython 2.7, PyPy and PyPy3.
2. To gracefully stop the workers, Unix-like systems (with Unix signal) are required, tested on Ubuntu 22.04 and macOS Monterey 12.
3. Redis 2.6.0 or later (with Lua scripts).

1. Run a redis server:

   $ redis-server

2. Install delayed:

   $ pip install delayed

3. Create a task queue:

   import redis
   from delayed.queue import Queue
   
   conn = redis.Redis()
   queue = Queue(name='default', conn=conn)

4. Enqueue tasks:

   • Four ways to enqueue Python tasks:

     1. Define a task function and enqueue it:

        from delayed.delay import delayed
        
        delayed = delayed(queue)
        i = 0
        
        @delayed
        def delayed_add(a, b):
            return a + b
        
        @delayed(retry=3)
        def retry_div(x):
            global i
            i += 1
            return x / (i - 1)
        
        delayed_add.delay(1, 2)  # enqueue delayed_add
        delayed_add.delay(1, b=2)  # same as above
        delayed_add(1, 2)  # call it immediately
        
        retry_div.delay(1)  # enqueue retry_div

     2. Directly enqueue a function:

        from delayed.delay import delayed
        
        delayed = delayed(queue)
        
        def add(a, b):
            return a + b
        
        delayed(add).delay(1, 2)
        delayed(add).delay(1, b=2)  # same as above
        delayed(retry=3)(add).delay(1, b=2)
        delayed(add, retry=3).delay(1, b=2)  # same as above

     3. Create a task and enqueue it:

        from delayed.task import PyTask
        
        def add(a, b):
            return a + b
        
        task = PyTask(func=add, args=(1,), kwargs={'b': 2}, retry=1)
        queue.enqueue(task)

     4. Enqueue a predefined task function without importing it (the fastest and lightest way):

        from delayed.task import PyTask
        
        task = PyTask(func='test:add', args=(1,), kwargs={'b': 2}, retry=1)
        queue.enqueue(task)

   • Enqueue Go tasks:

         from delayed.task import GoTask
     
         task = GoTask(func_path='syscall.Kill', args=(0, 1))
         queue.enqueue(task)
     
         task = GoTask(func_path='fmt.Printf', args=('%d %s\n', [1, 'test']))  # the variadic argument needs to be a list or tuple
         queue.enqueue(task)
     
         task = GoTask('fmt.Println', (1, 'test'))  # if the variadic argument is the only argument, it's not required to wrap it with a list or tuple
         queue.enqueue(task)

5. Run a task worker (or more) in a separated process:

   import redis
   from delayed.queue import Queue
   from delayed.worker import Worker
   
   conn = redis.Redis()
   queue = Queue(name='default', conn=conn)
   worker = Worker(queue=queue)
   worker.run()

6. Run a task sweeper in a separated process to recovery lost tasks (mainly due to the worker got killed):

   import redis
   from delayed.queue import Queue
   from delayed.sweeper import Sweeper
   
   conn = redis.Redis()
   queue = Queue(name='default', conn=conn)
   sweeper = Sweeper(queues=[queue])
   sweeper.run()

See examples.

```bash
$ redis-server &
$ pip install delayed
$ python -m examples.sweeper &
$ python -m examples.worker &
$ python -m examples.caller
```

1. Q: What's the limitation on a task function?
   A: A Python task function should be defined in module level (except the __main__ module). Its args and kwargs should be serializable by MessagePack. After deserializing, the type of args and kwargs passed to the task function might be changed (tuple -> list), so it should take care of this change.

2. Q: What's the name param of a queue?
   A: It's the key used to store the tasks of the queue. A queue with name "default" will use those keys:

   • default: list, enqueued tasks.
   • default_noti: list, the same length as enqueued tasks.
   • default_processing: hash, the processing task of workers.

3. Q: What's lost tasks?
   A: There are 2 situations a task might get lost:

   • a worker popped a task notification, then got killed before dequeueing the task.
   • a worker dequeued a task, then got killed before releasing the task.

4. Q: How to recovery lost tasks?
   A: Runs a sweeper. It dose two things:

   • it keeps the task notification length the same as the task queue.
   • it checks the processing list, if the worker is dead, moves the processing task back to the task queue.

5. Q: How to turn on the debug logs?
   A: Adds a logging.DEBUG level handler to delayed.logger.logger. The simplest way is to call delayed.logger.setup_logger():

   from delayed.logger import setup_logger
   
   setup_logger()

• 1.2:

  1. Adds retry param to functions wrapped by delayed.delay().
  2. Adds retry param to Task().
  3. Adds release param to Queue.enqueue().
  4. The Worker won't retry a failed task infinitely by default now. You can set retry=-1 to Task() instead. (BREAKING CHANGE)

• 1.1:

  1. Adds log_level param to delayed.logger.setup_logger().
  2. Prevents different online workers have the same id.

• 1.0:

  1. Python 2.7 is not supported anymore. (BREAKING CHANGE)
  2. Supports Go, adds GoTask.
  3. Use MessagePack instead of pickle to serialize / deserialize tasks. (BREAKING CHANGE)
  4. Removes ForkedWorker and PreforkedWorker. You can use Worker instead. (BREAKING CHANGE)
  5. Changes params of Queue(), removes default_timeout, requeue_timeout and busy_len, adds dequeue_timeout and keep_alive_timeout. (BREAKING CHANGE)
  6. Rename Task to PyTask. (BREAKING CHANGE)
  7. Removes those properties of PyTask: id, func_path, args and kwargs. (BREAKING CHANGE)
  8. Removes those params of PyTask(): id, timeout, prior and error_handler_path. (BREAKING CHANGE)
  9. Removes PyTask.create(). You can use PyTask() instead. (BREAKING CHANGE)
  10. Rename func_path param of PyTask() to func, it accepts both callable and str. (BREAKING CHANGE)
  11. Removes delayed.delay(). Removes params of delayed.delayed(). (BREAKING CHANGE)

• 0.11:

  1. Sleeps random time when a Worker fails to pop a task before retrying.

• 0.10:

  1. The Sweeper can handle multiple queues now. Its queue param has been changed to queues. (BREAKING CHANGE)
  2. Changes the separator between module_path and func_name from . to :. (BREAKING CHANGE)

• 0.9:

  1. Adds prior and error_handler params to deleyed.delayed(), removes its timeout() method. (BREAKING CHANGE)
  2. Adds examples.

• 0.8:

  1. The Task struct has been changed, it's not compatible with older versions. (BREAKING CHANGE)
     • Removes module_name and func_name from Task, adds func_path instead.
     • Adds error_handler_path to Task.
  2. Removes success_handler and error_handler from Worker. (BREAKING CHANGE)

• 0.7:

  1. Implements prior task.

• 0.6:

  1. Adds dequeued_len() and index to Queue.

• 0.5:

  1. Adds delayed.task.set_pickle_protocol_version().

• 0.4:

  1. Refactories and fixes bugs.

• 0.3:

  1. Changes param second to timeout for delayed.delayed(). (BREAKING CHANGE)
  2. Adds debug log.

• 0.2:

  1. Adds timeout() to delayed.delayed().

• 0.1:

  1. Init version.