django-historicalrecords | Automatic shadow table of django model instances

by smn Python Version: 1.1 License: Non-SPDX

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

kandi X-RAY | django-historicalrecords Summary

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

Automatic shadow table of django model instances

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Quality

Security

License

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Support

django-historicalrecords has a low active ecosystem.

It has 43 star(s) with 10 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 2367 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-historicalrecords is 1.1

Quality

django-historicalrecords has 0 bugs and 0 code smells.

Security

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

django-historicalrecords code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

django-historicalrecords has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

django-historicalrecords 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-historicalrecords saves you 82 person hours of effort in developing the same functionality from scratch.

It has 211 lines of code, 20 functions and 12 files.

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

Top functions reviewed by kandi - BETA

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

Initialize the history model
Copy the fields of a historical model
Returns extra fields for the model
Create a history model for a given model
Return the options for the model
Post save method
Create a historical record
Return a list of lines from a file
Create a histogram record

Get all kandi verified functions for this library.

django-historicalrecords Key Features

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

django-historicalrecords Examples and Code Snippets

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

Community Discussions

Trending Discussions on django-historicalrecords

Tracking changes to all models in Django

QUESTION

Tracking changes to all models in Django

Asked 2019-Apr-16 at 13:25

I am working on a Django + DRF Web Application and I want to track changes to all model instances in the Database and keep a log of all changes made, namely:

...

ANSWER

Answered 2019-Apr-16 at 13:25

Have you explored on django signals pre_save?https://docs.djangoproject.com/en/dev/topics/signals/

Source https://stackoverflow.com/questions/42433501

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

Vulnerabilities

No vulnerabilities reported

Install django-historicalrecords

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