django-rq-dashboard | A dashboard for managing RQ in the Django admin

by brutasse Python Version: 0.3.3 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | django-rq-dashboard Summary

django-rq-dashboard is a Python library. django-rq-dashboard has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install django-rq-dashboard' or download it from GitHub, PyPI.

A dashboard for managing RQ in the Django admin

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Quality

Security

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Support

django-rq-dashboard has a low active ecosystem.

It has 86 star(s) with 30 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 5 have been closed. On average issues are closed in 67 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-rq-dashboard is 0.3.3

Quality

django-rq-dashboard has 0 bugs and 0 code smells.

Security

django-rq-dashboard has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

django-rq-dashboard code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

django-rq-dashboard is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

django-rq-dashboard releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

django-rq-dashboard saves you 250 person hours of effort in developing the same functionality from scratch.

It has 609 lines of code, 30 functions and 13 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed django-rq-dashboard and discovered the below as its top functions. This is intended to give you an instant insight into django-rq-dashboard implemented functionality, and help decide if they suit your requirements.

Return the context of the scheduler
Serialize a Job object into a dictionary
Serialize a ScheduledJob to a dictionary
Returns the context of the job
Returns context data
Return the version string

Get all kandi verified functions for this library.

django-rq-dashboard Key Features

No Key Features are available at this moment for django-rq-dashboard.

django-rq-dashboard Examples and Code Snippets

No Code Snippets are available at this moment for django-rq-dashboard.

Community Discussions

Trending Discussions on django-rq-dashboard

Error connecting django-rq: ImportError: cannot import name get_failed_queue

QUESTION

Error connecting django-rq: ImportError: cannot import name get_failed_queue

Asked 2019-Jun-13 at 03:05

Never worked with django-rq, redis. The problem should be solved easily, I think, but I do not know how.

When I start the server, I get this error ImportError: cannot import name get_failed_queue

I'm use Python 2.7

Full Traceback

...

ANSWER

Answered 2019-Jun-13 at 03:05

This happens because you use django-rq==2.0 that requires rq>=1.0. The function get_failed_queue() does not exist in rq==1.0 anymore, read the release notes to learn how to change your code to make it work again: https://github.com/rq/rq/releases/tag/v1.0

Otherwise, you can just downgrade to django-rq==1.3.1 and rq==0.13

Source https://stackoverflow.com/questions/56514980

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install django-rq-dashboard

You can install using 'pip install django-rq-dashboard' or download it from GitHub, PyPI.
You can use django-rq-dashboard like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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