Celery 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.
Installing flower
with pip <http://www.pip-installer.org/>
_ is simple ::
$ pip install flower
The development version can be installed from Github ::
$ pip install https://github.com/mher/flower/zipball/master#egg=flower
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 <https://docs.celeryq.dev/en/stable/userguide/application.html>
_ ::
$ 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 <https://github.com/mher/flower/blob/master/examples/tasks.py>
_ file
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
_
.. _API Reference: https://flower.readthedocs.io/en/latest/api.html
Documentation is available at Read the Docs
_
.. _Read the Docs: https://flower.readthedocs.io
Flower is licensed under BSD 3-Clause License.
See the License
_ file for the full license text.
.. _License
: https://github.com/mher/flower/blob/master/LICENSE