Python webservice designed to run on Google Cloud AppEngine service.
Scrapes match information from basketball-reference.com. Extracts the scores, pre-processes the data and visualises against time.
python3 -m venv nba_env
source nba_env/bin/activate
python3 -m pip install --upgrade pip
pip install -r src/requirements.txt
Optional for debugging/development
pip install -r debug/debug_requirements.txt
Run src/main.py to start the flask webservice.
To trigger call the nba_score_plot end point with a game ID from basketball-reference.com e.g.:
127.0.0.1:5000/nba_score_plot?game_id=202001080CHO
After creating an app on Google Cloud Platform etc.
To update codebase:
gcloud app deploy
See debug/profile_memory.py for details on memory usages. Typical usage for the plotting functions is 160MB.
- Change plot
- Create better html file template
- Put live on the cloud
- Create empty form when no game ID submitted