python-celery

Edit Package python-celery
http://github.com/ask/celery

Celery is a distributed task queue. It was first created for Django, but is now usable from Python. It can also operate with
other languages via HTTP+JSON. It is used for executing tasks asynchronously, routed to one or more worker servers, running
concurrently using multiprocessing. It is designed to solve certain problems related to running websites demanding high-availability and performance.

It is perfect for filling caches, posting updates to twitter, mass downloading data like syndication feeds or web scraping. Use-cases are plentiful. Implementing these features asynchronously using celery is easy and fun, and the performance improvements can make it more than worthwhile.

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Source Files
Filename Size Changed
_multibuild 0000000053 53 Bytes
celery-4.4.7.tar.gz 0001469812 1.4 MB
python-celery.changes 0000089137 87 KB
python-celery.spec 0000003778 3.69 KB
Revision 34 (latest revision is 44)
Dominique Leuenberger's avatar Dominique Leuenberger (dimstar_suse) accepted request 838700 from Tomáš Chvátal's avatar Tomáš Chvátal (scarabeus_iv) (revision 34)
- Use really the upstream tarball

- Don't update to 5.0.0 because missing dependencies
- Update to version 4.4.7
  + Add task_received, task_rejected and task_unknown to signals
    module.
  + [ES backend] add 401 as safe for retry.
  + treat internal errors as failure.
  + Remove redis fanout caveats.
  + FIX: -A and --args should behave the same. (#6223)
  + Class-based tasks autoretry (#6233)
  + Preserve order of group results with Redis result backend
    (#6218)
  + Replace future with celery.five Fixes #6250, and reraise to
    include
  + Fix REMAP_SIGTERM=SIGQUIT not working
  + (Fixes#6258) MongoDB: fix for serialization issue (#6259)
  + Make use of ordered sets in Redis opt-in
  + Test, CI, Docker, style and minor doc impovements.
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