The Notangles autotimetabler returns a possible timetable that matches the user's provided requirements.
The server has been verified to work with:
- Python v3.8.10
- pip v21.2.4
First, in the root server directory auto_server create a virtual environment with python3 -m venv env.
Activate the virtual environment by running source env/bin/activate
Finally, in your virtual environment, run python3 -m pip install -r requirements.txt to install all the dependencies.
Run python3 server.py to start the autotimetabling server locally.
The SENTRY_INGEST_AUTO_SERVER environment variable is the ingest URL for the Sentry SDK to know where to send the monitored data.
The SENTRY_TRACE_RATE_AUTO_SERVER environment variable is the percentage of transactions monitored and sent.
The real values of these environment variables are only required when the app is deployed.
The Notangles autotimetabler uses:
- The autotimetabler uses Google OR-Tools' set of constraint programming algorithms to generate a possible arrangement of classes based on the user's provided constraints.
- It then returns this result to the Notangles server using gRPC (Remote Procedure Calls)