EPICS "Predictive Maintenance for Industry Devices" Project

This is the backend for the EPICS project.

We are using Node + ExpressJS for the backend. This will be used to call the APIs to apply the ML model to the data and add it to the database.

Features and Working

• There are routes to fetch the sensor data from the postgres database.
• A route on /upload which checks for sensor_data.csv in the same directory as the server and adds any new entries to the database.

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Dev Notes

Note - Ensure that you have set up your github ssh key in your system (ideally linux based) to be able to push to the repo. If not, refer to this resource - https://www.theodinproject.com/lessons/foundations-setting-up-git

Make sure you have your .env file setup properly to ensure the connection with the postgreSQL server happens properly. Your postgreSQL needs to be active when making the connection as well.

Set up

• Copy the SSH link from the github repository
• git clone [SSH clone link]
• Make sure the .env file is updated (since it is in .gitignore)
• Ensure all dependencies are there using npm i
• Run npm run dev to start the server (alternate - node --watch index.js)

Contribution

• Fork the repository
• Clone the forked repo
• Make changes and push it to your forked repo
• Create pull request