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-5.4.0.tar.gz | 0001575692 1.5 MB | |
| move-pytest-configuration-to-conftest.patch | 0000001722 1.68 KB | |
| python-celery.changes | 0000099070 96.7 KB | |
| python-celery.spec | 0000004314 4.21 KB |
Revision 158 (latest revision is 159)
Dirk Mueller (dirkmueller)
accepted
request 1185136
from
Markéta Machová (mcalabkova)
(revision 158)
- Update to 5.4.0
* Add a Task class specialised for Django
* Add Google Cloud Storage (GCS) backend
* Added documentation to the smoke tests infra
* Bugfix: Missing id on chain
* Bugfix: Worker not consuming tasks after Redis broker restart
* Catch UnicodeDecodeError when opening corrupt beat-schedule.db
* chore(ci): Enhance CI with workflow_dispatch for targeted debugging
* Enable efficient chord when using dynamicdb as backend store
* feat(daemon): allows daemonization options to be fetched from app
settings
* Fix DeprecationWarning: datetime.datetime.utcnow()
* Fix recursive result parents on group in middle of chain
* Hotfix: Smoke tests didn’t allow customizing the worker’s command
arguments, now it does
* Make custom remote control commands available in CLI
* Print safe_say() to stdout for non-error flows
* Support moto 5.0
- Drop support-moto-5.patch
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