player_sheets/daily_scrape.sh at master · RussDT/player_sheets · GitHub

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#!/bin/bash

# Convert Jupyter notebooks to Python scripts in their respective directories
cd game_report
jupyter nbconvert --to script game_report_scrape.ipynb
jupyter nbconvert --to script pbp_gamelogs.ipynb
cd ..
cd teamgame_report
jupyter nbconvert --to script teamgame_report_scrape.ipynb
cd ..

cd team_totals
jupyter nbconvert --to script team_average_scrape.ipynb
cd ..

cd gen_totals
jupyter nbconvert --to script averages_scrape.ipynb
jupyter nbconvert --to script gen_totals.ipynb
cd ..

cd lineups
jupyter nbconvert --to script lineups.ipynb
cd ..

# Run the Python scripts in their respective directories
cd game_report
python game_report_scrape.py
python pbp_gamelogs.py
cd ..


cd team_totals
python team_average_scrape.py
cp team_averages.csv ../teamgame_report/team_averages.csv
cp team_averages_ps.csv ../teamgame_report/team_averages_ps.csv
cd ..

cd gen_totals
python averages_scrape.py
python gen_totals.py
cd ..

cd teamgame_report
python teamgame_report_scrape.py
cd ..

cd lineups
python lineups.py
cd ..