Celery Flower

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 and Google OpenID authentication

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.

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

Or launch from celery:

$ celery flower -A proj --address=127.0.0.1 --port=5555

Broker URL and other configuration options can be passed through the standard Celery options:

$ celery flower -A proj --broker=amqp://guest:guest@localhost:5672//

Or run with unix socket file:

$ flower --unix_socket=/tmp/flower.sock

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.

Getting help

Please head over to #celery IRC channel on irc.freenode.net or open an issue.

Contributing

If you'd like to contribute, simply fork the repository, commit your changes, run the tests (python -m tests) and send a pull request. Make sure you add yourself to CONTRIBUTORS.

If you are interested in maintaining the project please contact.