Celery Flower

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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 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//

Documentation

Documentation is available at Read the Docs 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.

If you are interested in maintaining the project please contact.

gwecho/flower