aqueue


Nameaqueue JSON
Version 0.9.2 PyPI version JSON
download
home_pagehttps://t-mart.github.io/aqueue/
SummaryAn async task queue with live progress display
upload_time2024-03-05 19:44:31
maintainer
docs_urlNone
authorTim Martin
requires_python>=3.12,<4.0
licenseMIT
keywords queue async task
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            .. teaser-begin

==========
``aqueue``
==========

``aqueue`` is an async task queue with live progress display.

You put items (tasks) in, and they get processed, possibly creating more items which
get processed, and so on, until all items are completed. A typical use case would be to scrape a
website.

Meanwhile, a nice visualization of the queue's goings-on is displayed in the terminal.

.. image:: https://raw.githubusercontent.com/t-mart/aqueue/master/docs/_static/demo.gif
  :alt: Demonstration of aqueue

.. note::

  ``aqueue``, or any asynchronous framework, is only going to be helpful if you're performing
  **I/O-bound** work.


Installation
============

``aqueue`` is a Python package `hosted on PyPI <https://pypi.org/project/aqueue/>`_. The recommended
installation method is `pip <https://pip.pypa.io/en/stable/>`_-installing into a virtual
environment:

.. code-block:: shell

   pip install aqueue

Getting Started
===============

There's two things you need to do to use aqueue:

1. Implement your `Item <https://t-mart.github.io/aqueue/#items>`_ subclasses.
2. `Start your queue <https://t-mart.github.io/aqueue/#starting-your-queue>`_ with one of those
   items.

.. teaser-end

Example
=======

If you had a hierarchy of items like this...

.. image:: docs/_static/simple-diagram.png
  :alt: Simple item hierarchy with one root item and many children items stemming from it.

Then, you might process it with ``aqueue`` like this...

.. code-block:: python

   import aqueue


   class RootItem(aqueue.Item):
      async def process(self) -> aqueue.ProcessRetVal:
         # display what we're doing in the worker status panel
         self.set_worker_desc("Processing RootItem")

         # make an HTTP request, parse it, etc
         ...

         # when you discover more items you want to process, enqueue them by yield-ing
         # them:
         for _ in range(3):
               yield ChildItem()

      async def after_children_processed(self) -> None:
         # run this method when this Item and all other Items it enqueued are done
         print("All done!")


   class ChildItem(aqueue.Item):

      # track the enqueueing and completion of these items in the overall panel
      track_overall: bool = True

      async def process(self) -> aqueue.ProcessRetVal:
         self.set_worker_desc("Processing ChildItem")
         # this child item has no further children to enqueue, so it doesn't yield
         # anything


   if __name__ == "__main__":
      aqueue.run_queue(
         initial_items=[RootItem()],
         num_workers=2,
      )

.. -project-information-

Project Information
===================

- **License**: `MIT <https://choosealicense.com/licenses/mit/>`_
- **PyPI**: https://pypi.org/project/aqueue/
- **Source Code**: https://github.com/t-mart/aqueue
- **Documentation**: https://t-mart.github.io/aqueue/
- **Supported Python Versions**: 3.10 and later

            

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