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Supply Chain Security
Vulnerability
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Network access
Supply chain riskThis module accesses the network.
Found 1 instance in 1 package
Shell access
Supply chain riskThis module accesses the system shell. Accessing the system shell increases the risk of executing arbitrary code.
Found 1 instance in 1 package
Uses eval
Supply chain riskPackage uses dynamic code execution (e.g., eval()), which is a dangerous practice. This can prevent the code from running in certain environments and increases the risk that the code may contain exploits or malicious behavior.
Found 1 instance in 1 package
High CVE
.. image:: https://img.shields.io/pypi/dm/flower.svg :target: https://pypistats.org/packages/flower :alt: PyPI - Downloads .. image:: https://img.shields.io/docker/pulls/mher/flower.svg :target: https://hub.docker.com/r/mher/flower :alt: Docker Pulls .. image:: https://github.com/mher/flower/workflows/Build/badge.svg :target: https://github.com/mher/flower/actions .. image:: https://img.shields.io/pypi/v/flower.svg :target: https://pypi.python.org/pypi/flower
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
FAQs
Celery Flower
We found that flower demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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