• React & Chart.js UI
• Flask REST API (/api)
• EFK logging stack
• PSQL/SQLalchemy ORM
• PSQL/Celery/Redbeat Tasks + Scheduler

The project is designed to be run in docker containers. You can either build the docker images yourself with the relevant Dockerfiles found in deploy/docker/build or alternatively you can use the public dockerhub images specified in the enviroment file at deploy/env/.env

docker-compose files can be found at deploy/docker/compose. A complete docker-compose file can be found at the directory root and service grouped docker-compose.override.yml files within the relevant subdirectories. docker images are specified using the automatically loaded docker-compose .env file. If using postgres within a docker container specify the configuration using .postgres.env

The flask_api and celery worker containers use a mounted volume to access entrypoint scripts, enviroment variables and the task schedule. by default this is mapped as: ./mnt:/usr/src/mnt but can be changed using the relevant enviroment variable and compose volume mounting

The core project can be brought up by running:

docker-compose up -d flask_api react_ui beat_scheduler tracker_worker redis postgres

scheduled tasks can be configured using a schedule.json file, examples of which can be found at application/lib/celery/schedule (see the task section for further details)