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);
}

See detailed API documentation here.

Installation

To install, simply:

$ pip install flower

Usage

Launch the server and open http://localhost:5555:

$ flower --port=5555

Or launch from celery:

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

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

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

Docker Usage

Clone this repository, build flower from the Dockerfile, start the container and open http://localhost:49555:

$ docker build -t "flower" .
$ docker run -d -p=49555:5555 flower flower --port=5555

For more information about running with Docker see: http://docs.docker.io/en/latest/

Documentation

Documentation is available at Github Wiki and IPython Notebook Viewer

Screenshots

More screenshots

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 AUTHORS.