This is a simple web ui dashboard for a pandas dataframe. The data is randomly generated every 15 minutes and stored a redis cache. The front-end of the app uses flask to fetch the data from redis and visualize it.
- Docker for Desktop
The entire solution is dockerized. Run the following Makefile command to run the solution via docker compose or locally. The following make command to uses docker-compose start the container orchestration.
# Start the docker container using a make command.
make startupAfter running docker compose you should be able to access the application at http://localhost:8000/ with docker compose.
If you want to run fastapi locally. The uvicorn command in the .app/Makefile is set to use localhost:8080/

