You can learn more about ProceZeus by visiting the official documentation page. These docs were generated with mdBook.
All of the project's services are split into separate Docker images. All application dependencies are contained within the Docker images. The dependencies required to run this project locally are:
dockerdocker-compose
To install Docker and Docker Compose, you can follow the instructions here.
We've developed a script to help with running the entire application with all its components. It's a thin wrapper around docker-compose, so all docker-compose will work for it. All you need is:
./cjl build && ./cjl upIf you want to suppress output push the job to the background:
./cjl up -dDocker isn't always the best at determining diffs between images. If that happens, you can destroy all Docker images on your host with:
./cjl clean [-y]To run all tests and lints for all services:
./cjl testTo try to fix all linting errors for all services:
./cjl lint-fixIn order to shut down all containers:
./cjl downFinally, if you want to reset the database (Helps with inconsistent database states), you can run:
./cjl reset-dbThe cjl script also takes any other command that docker-compose can take.
The following services can run individually or tested against:
- Web Client
- Backend Service
- Machine Learning Service
- Natural Language Processing Service
- PostgreSQL Database
Deployment is done via Travis CI and Ansible. The most current version of the master branch is reflected on the Demo Page
The following architecture diagram represents the various services and the relationships they have with one another.
See CONTRIBUTING.md for details.
See the releases tab
The following is a list of team members that are contributing to the project:
This project is licensed under the MIT License - see the LICENSE file for details