loongson/pypi/: flower-0.9.5 metadata and description
Celery Flower
author | Mher Movsisyan |
author_email | mher.movsisyan@gmail.com |
classifiers |
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license | BSD |
requires_dist |
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Because this project isn't in the mirror_whitelist
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no releases from root/pypi are included.
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flower-0.9.5-py2.py3-none-any.whl
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Flower is a web based tool for monitoring and administrating Celery clusters.
Features
Real-time monitoring using Celery Events
- Task progress and history
- Ability to show task details (arguments, start time, runtime, and more)
- Graphs and statistics
Remote Control
- View worker status and statistics
- Shutdown and restart worker instances
- Control worker pool size and autoscale settings
- View and modify the queues a worker instance consumes from
- View currently running tasks
- View scheduled tasks (ETA/countdown)
- View reserved and revoked tasks
- Apply time and rate limits
- Configuration viewer
- Revoke or terminate tasks
Broker monitoring
- View statistics for all Celery queues
- Queue length graphs
HTTP API
Basic Auth, Google, Github, Gitlab and Okta OAuth
Prometheus integration
Installation
PyPI version:
$ pip install flower
Development version:
$ pip install https://github.com/mher/flower/zipball/master
Usage
Launch the server and open http://localhost:5555:
$ flower --port=5555
Launch from celery:
$ celery flower -A proj --address=127.0.0.1 --port=5555
Launch using docker:
$ docker run -p 5555:5555 mher/flower
Launch with unix socket file:
$ flower --unix-socket=/tmp/flower.sock
Broker URL and other configuration options can be passed through the standard Celery options:
$ celery flower -A proj --broker=amqp://guest:guest@localhost:5672//
API
Flower API enables to manage the cluster via REST API, call tasks and receive task events in real-time via WebSockets.
For example you can restart worker’s pool by:
$ curl -X POST http://localhost:5555/api/worker/pool/restart/myworker
Or call a task by:
$ curl -X POST -d '{"args":[1,2]}' http://localhost:5555/api/task/async-apply/tasks.add
Or terminate executing task by:
$ curl -X POST -d 'terminate=True' http://localhost:5555/api/task/revoke/8a4da87b-e12b-4547-b89a-e92e4d1f8efd
Or receive task completion events in real-time:
var ws = new WebSocket("ws://localhost:5555/api/task/events/task-succeeded/"); ws.onmessage = function (event) { console.log(event.data); }
For more info checkout API Reference and examples.
Documentation
Documentation is available at Read the Docs and IPython Notebook Viewer
License
Flower is licensed under BSD 3-Clause License. See the LICENSE file in the top distribution directory for the full license text.