django-supervisor | easy integration between django and supervisord

by rfk Python Version: 0.4.0 License: MIT

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

kandi X-RAY | django-supervisor Summary

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

easy integration between django and supervisord

Support

Quality

Security

License

Reuse

Support

django-supervisor has a highly active ecosystem.

It has 381 star(s) with 58 fork(s). There are 21 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 37 have been closed. On average issues are closed in 1047 days. There are no pull requests.

It has a negative sentiment in the developer community.

The latest version of django-supervisor is 0.4.0

Quality

django-supervisor has 0 bugs and 12 code smells.

Security

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

django-supervisor code analysis shows 0 unresolved vulnerabilities.

There are 5 security hotspots that need review.

License

django-supervisor is licensed under the MIT License. This license is Permissive.

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

Reuse

django-supervisor 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-supervisor saves you 228 person hours of effort in developing the same functionality from scratch.

It has 556 lines of code, 24 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Returns a merged configParser
Construct a config file
Guess the project directory
Render options
Render config data
Set option in cfg
Render a templated config file

Get all kandi verified functions for this library.

django-supervisor Key Features

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

django-supervisor Examples and Code Snippets

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

Community Discussions

Trending Discussions on django-supervisor

how to setup supervisor for django

QUESTION

how to setup supervisor for django

Asked 2018-Aug-15 at 15:28

I have a problem with my configurations from the supervisor, well this is happening.

my app is a server web socket when a run with de gunicorn like this

...

ANSWER

Answered 2018-Aug-15 at 15:28

The problem with your approach is you are not defining the python path which you are using. Kindly setup a virtualenv for the python and then define it. Currently supervisord are using the default python 2.7 installed

I have not used supervisord but I guess it would be similar to what systemd does.

Kindly follow the below guide and implement the changes as per supervisord or else you can use systemd too.

Systemd setup

Read the difference too between them

Systemd vs Supervisord

Source https://stackoverflow.com/questions/51861482

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

Vulnerabilities

No vulnerabilities reported

Install django-supervisor

You can install using 'pip install django-supervisor' or download it from GitHub, PyPI.
You can use django-supervisor 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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