An automated FFXIV story progress tracker for TwitchTV streamers using OpenCV and Tesseract
Try it out: https://ffxivttv.fly.dev
Create .env files in worker/ and webapp/ with the following information
worker/.env
CLOUDINARY_API=
CLOUDINARY_NAME=
CLOUDINARY_SECRET=
MONGO_URI=mongodb://root:1234@mongodb:27017/ffxivttvtracker?authSource=admin
TWITCH_CLIENT_ID=
TWITCH_SECRET=
webapp/.env
MONGO_URI=mongodb://root:1234@mongodb:27017/ffxivttvtracker?authSource=admin
TWITCH_CLIENT_ID=
TWITCH_SECRET=
Run npm install in webapp/ and webapp/frontend
In the root directory, run
docker-compose up
This will spin up the frontend UI, the frontend server, the python worker, and the mongodb in separate containers.
In the mongodb container, create a ffxivttvtracker database with a streamers collection. An example schema that can be imported is initial_db.json.
In prod, the frontend UI is served directly from the frontend server in one container.
Apparently apscheduler + pytesseract + my code = memory leak