import gradio as gr import matplotlib.pyplot as plt import polars as pl from data import SEASONS, data_df from plotting import create_pitcher_overview_card notes = '''**Limitations** - Only supports regular season data **To-do** - Fix names of foreign players - Add teams insignias - Measure percentiles per pitcher handedness - Allow for arbitrary date ranges - Improve readability of pitch velocities - Add post-season ''' def dummy(*inputs): return inputs def gr_create_pitcher_overview_card(name, season): # pit_id = name.split(' | ')[-1] # hard-coded to only do regular season pit_id = data_df.filter((pl.col('pitcher_name') == name) & (pl.col('date').dt.year() == season) & (pl.col('coarse_game_kind') == 'Regular Season'))['pitId'].unique() if len(pit_id) == 0: raise gr.Error(f"No data found for {name} in {season}. If the name looks strangely spelled or formatted there's a possibility that's what causing the error.") elif len(pit_id) > 1: raise gr.Error(f'Multiple IDs for {name}') else: pit_id = pit_id.item() create_pitcher_overview_card(pit_id, season=season, dpi=300) plt.savefig('tmp.png', bbox_inches='tight') return 'tmp.png' # def adjust_season_end_based_on_season_start(season_start, season_end): # return max(season_start, season_end) # # def adjust_season_start_based_on_season_end(season_end, season_start): # return min(season_start, season_end) def create_pitcher_overview(data_df): with gr.Blocks() as app: gr.Markdown('# Pitcher Overview') with gr.Row(): with gr.Column(): # names = [f'{pit_name} | {pit_id}' for pit_name, pit_id in data_df[['pitcher_name', 'pitId']].unique().sort('pitId').iter_rows()] names = data_df['pitcher_name'].unique().sort().to_list() name = gr.Dropdown(names, label='Name') season = gr.Dropdown(SEASONS, value=max(SEASONS), label='Season') # season_start = gr.Dropdown(SEASONS, label='Season start') # season_end = gr.Dropdown(SEASONS, label='Season end') # game_type = gr.Dropdown(['Spring Training', 'Regular Season', 'Postseason'], label='Game Type']) view = gr.Button('View') gr.Markdown(notes) with gr.Column(): overview_card = gr.Image(label='Overview') # season_start.input(adjust_season_end_based_on_season_start, inputs=[season_start, season_end], outputs=season_end) # season_end.input(adjust_season_start_based_on_season_end, inputs=[season_end, season_start], outputs=season_start) view.click(gr_create_pitcher_overview_card, inputs=[name, season], outputs=overview_card) return app if __name__ == '__main__': create_pitcher_overview(data_df).launch()