woutdenolf / flower

Real-time monitor and web admin for Celery distributed task queue

Home Page:https://flower.readthedocs.io

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Flower

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Flower is an open-source web application for monitoring and managing Celery clusters. It provides real-time information about the status of Celery workers and tasks.

Features

  • Real-time monitoring using Celery Events
    • View task progress and history
    • View task details (arguments, start time, runtime, and more)
  • 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
    • Revoke or terminate tasks
  • Broker monitoring
    • View statistics for all Celery queues
  • HTTP Basic Auth, Google, Github, Gitlab and Okta OAuth
  • Prometheus integration
  • API

Installation

Installing flower with pip is simple

$ pip install flower

The development version can be installed from Github

$ pip install https://github.com/mher/flower/zipball/master#egg=flower

Usage

To run Flower, you need to provide the broker URL

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

Or use the configuration of celery application

$ celery -A tasks.app flower

By default, flower runs on port 5555, which can be modified with the port option

$ celery -A tasks.app flower --port=5001

You can also run Flower using the docker image

$ docker run -v examples:/data -p 5555:5555 mher/flower celery --app=tasks.app flower

In this example, Flower is using the tasks.app defined in the examples/tasks.py file

API

Flower API enables to manage the cluster via HTTP REST API.

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

For more info checkout API Reference

Documentation

Documentation is available at Read the Docs

License

Flower is licensed under BSD 3-Clause License. See the License file for the full license text.

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Real-time monitor and web admin for Celery distributed task queue

https://flower.readthedocs.io

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