MCAS DLP Policy Box Classification Applier

Architecture Diagrams

Solution Document

Solution Document

Features

Runtime Requirements

Python 3.6+
pip package manager
virtualenv
Docker

Set up and Run

1. From the project root folder, create a Python 3.6+ virtual environment
   $ virtualenv --python=python3 env
2. Activate the virtual environment
   $ source env/bin/activate
3. Install the project dependencies
   $ pip install -r requirements.txt
4. Run the command line interface menu to see the available commands
   $ python src/cli/main.py mcas-policy-box-classification_sync

Set up and Run with Docker

1. Run the development images
   $ make dev
2. Run the production images
   $ make prod

Pull the Image from DockerHub Image Registry

1. Login to DockerHub $ docker login --username=boxdave
$ [ENTER YOUR PASSWORD]
2. Pull the image
   $ docker pull boxdave/mcas-dlp-policy-box-classification-applier:latest