Docker based Containers for easy deployment and Documentation

[AyanSinhaMahapatra]

scancode-results-analyzer uses a lot of third-party dependencies, as it handles a wide range of tasks like

• Pandas based preliminary Data Cleaning and Attribute-based Classes - https://github.com/nexB/scancode-toolkit/issues/2052
• NLP Models - https://github.com/nexB/scancode-toolkit/issues/2181
• GUI review Frameworks - https://github.com/nexB/scancode-toolkit/issues/2197
• GPU/Multi-threading Support - https://github.com/nexB/scancode-toolkit/issues/2057

So all this requires a lot of dependencies, managing which could be tricky and time-consuming.
So creating a docker image with all the dependencies for the same would make a lot of difference.

1. Create a Docker Image
2. Run all Tests Successfully on the docker container
3. Deploy the Docker Image publicly at https://hub.docker.com/

Additionally creating Documentation pages with re-StructuredText and Sphinx with -

1. Walkthroughs of the Review Process
2. API Documentation
3. Explaining Various Stages of the Analysis