loongson/pypi/: flower-0.9.5 metadata and description

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Celery Flower

author Mher Movsisyan
author_email mher.movsisyan@gmail.com
classifiers
  • Development Status :: 4 - Beta
  • Intended Audience :: Developers
  • License :: OSI Approved :: BSD License
  • Topic :: System :: Distributed Computing
  • Programming Language :: Python
  • Programming Language :: Python :: 2
  • Programming Language :: Python :: 2.7
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.3
  • Programming Language :: Python :: 3.4
  • Programming Language :: Python :: 3.5
  • Programming Language :: Python :: 3.6
  • Programming Language :: Python :: 3.7
  • Programming Language :: Python :: Implementation :: CPython
  • Programming Language :: Python :: Implementation :: PyPy
  • Operating System :: OS Independent
license BSD
requires_dist
  • prometheus-client (==0.8.0)
  • humanize
  • pytz
  • tornado (<6.0.0,>=5.0.0) ; python_version < "3.5.2"
  • celery (>=3.1.0) ; python_version < "3.7"
  • futures ; python_version == "2.7"
  • tornado (<7.0.0,>=5.0.0) ; python_version >= "3.5.2"
  • celery (>=4.3.0) ; python_version >= "3.7"

Because this project isn't in the mirror_whitelist, no releases from root/pypi are included.

File Tox results History
flower-0.9.5-py2.py3-none-any.whl
Size
449 KB
Type
Python Wheel
Python
2.7
https://github.com/mher/flower/workflows/Build/badge.svg https://img.shields.io/pypi/v/flower.svg https://travis-ci.org/mher/flower.svg?branch=master

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, Google, Github, Gitlab and Okta OAuth

  • Prometheus integration

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

Launch from celery:

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

Launch using docker:

$ docker run -p 5555:5555 mher/flower

Launch with unix socket file:

$ flower --unix-socket=/tmp/flower.sock

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

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

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.

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.