django-oscar-bluelight | Automated Mirror -

by thelabnyc Python Version: 5.5.11 License: Non-SPDX

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

kandi X-RAY | django-oscar-bluelight Summary

django-oscar-bluelight is a Python library. django-oscar-bluelight has no bugs, it has no vulnerabilities and it has low support. However django-oscar-bluelight build file is not available and it has a Non-SPDX License. You can install using 'pip install django-oscar-bluelight' or download it from GitHub, PyPI.

Automated Mirror

Support

Quality

Security

License

Reuse

Support

django-oscar-bluelight has a low active ecosystem.

It has 11 star(s) with 1 fork(s). There are 7 watchers for this library.

There were 9 major release(s) in the last 12 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 833 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-oscar-bluelight is 5.5.11

Quality

django-oscar-bluelight has 0 bugs and 0 code smells.

Security

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

django-oscar-bluelight code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

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

Deployable package is available in PyPI.

django-oscar-bluelight has no build file. You will be need to create the build yourself to build the component from source.

It has 13046 lines of code, 495 functions and 172 files.

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

Top functions reviewed by kandi - BETA

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

Apply a discount to a given offer
Calculate the maximum amount of discounts
Validates fixed discount benefits
Apply discounts to the given offer
Validates that the Multibuy benefit is required
Apply the condition to an offer
Validates that the fixed price benefit is valid
Apply the conditions to the given offer
Validates that the discount value is valid
Generate a CSV report
Return restriction restrictions
Generates a description
Returns a list of offered offers
Return a description
Overrides parent method
Return context data
Return the name of the product
Create child objects
Gets upsell details
Apply a condition to the given offer
Consume items from the basket
Generates a CSV of offered offers
Consume consumed items
Handles query products
Consume items from an offer
Handles GET requests

Get all kandi verified functions for this library.

django-oscar-bluelight Key Features

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

django-oscar-bluelight Examples and Code Snippets

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

Community Discussions

No Community Discussions are available at this moment for django-oscar-bluelight.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install django-oscar-bluelight

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

Find more information at: