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pypm install flower

How to install flower

  1. Download and install ActivePython
  2. Open Command Prompt
  3. Type pypm install flower
 Python 2.7Python 3.2Python 3.3
Windows (32-bit)
0.5.2 Available View build log
Windows (64-bit)
0.5.2 Available View build log
Mac OS X (10.5+)
0.5.2 Available View build log
Linux (32-bit)
0.5.2 Available View build log
0.4.0 Available View build log
0.3.0 Available View build log
Linux (64-bit)
0.5.2 Available View build log
0.4.0 Available View build log
0.3.0 Available View build log
 
License
BSD
Dependencies
Depended by
Lastest release
version 0.5.2 on Jul 3rd, 2013

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);
}

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//

Screenshots

https://raw.github.com/mher/flower/master/docs/screenshots/dashboard.png https://raw.github.com/mher/flower/master/docs/screenshots/pool.png https://raw.github.com/mher/flower/master/docs/screenshots/tasks.png https://raw.github.com/mher/flower/master/docs/screenshots/task.png https://raw.github.com/mher/flower/master/docs/screenshots/monitor.png

More screenshots

Getting help

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

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Last updated Jul 3rd, 2013

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Last month:4

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