app.py

import polars as pl
import numpy as np
import pandas as pd
import api_scraper
scrape = api_scraper.MLB_Scrape()
from functions import df_update
from functions import pitch_summary_functions
update = df_update.df_update()
from stuff_model import feature_engineering as fe
from stuff_model import stuff_apply
import requests
import joblib
from matplotlib.gridspec import GridSpec
from shiny import App, reactive, ui, render
from shiny.ui import h2, tags
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import seaborn as sns
from functions.pitch_summary_functions import *

colour_palette = ['#FFB000','#648FFF','#785EF0',
                  '#DC267F','#FE6100','#3D1EB2','#894D80','#16AA02','#B5592B','#A3C1ED']


year_list = [2017,2018,2019,2020,2021,2022,2023,2024]



level_dict =  {'1':'MLB',
               '11':'AAA',
               '12':'AA',
               '13':'A+',
               '14':'A',
               '17':'AFL',
               '22':'College',
               '21':'Prospects',
               '51':'International' }

function_dict={
    'velocity_kdes':'Velocity Distributions',
    'break_plot':'Pitch Movement',
    'tj_stuff_roling':'Rolling tjStuff+ by Pitch',
    'tj_stuff_roling_game':'Rolling tjStuff+ by Game',
    'location_plot_lhb':'Locations vs LHB',
    'location_plot_rhb':'Locations vs RHB',
}


split_dict =  {'all':'All',
               'left':'LHH',
               'right':'RHH'}

split_dict_hand =  {'all':['L','R'],
               'left':['L'],
               'right':['R']}

from shiny import App, reactive, ui, render
from shiny.ui import h2, tags

# Define the UI layout for the app
app_ui = ui.page_fluid(
    ui.layout_sidebar(
        ui.panel_sidebar(
            # Row for selecting season and level
            ui.row(
                ui.column(6, ui.input_select('year_input', 'Select Season', year_list, selected=2024)),
                ui.column(6, ui.input_select('level_input', 'Select Level', level_dict))
            ),
            # Row for the action button to get player list
            ui.row(ui.input_action_button("player_button", "Get Player List", class_="btn-primary")),
            # Row for selecting the player
            ui.row(ui.column(12, ui.output_ui('player_select_ui', 'Select Player'))),
            # Row for selecting the date range
            ui.row(ui.column(12, ui.output_ui('date_id', 'Select Date'))),

            # Rows for selecting plots and split options
            ui.row(
                ui.column(4, ui.input_select('plot_id_1', 'Plot Left', function_dict, multiple=False, selected='velocity_kdes')),
                ui.column(4, ui.input_select('plot_id_2', 'Plot Middle', function_dict, multiple=False, selected='tj_stuff_roling')),
                ui.column(4, ui.input_select('plot_id_3', 'Plot Right', function_dict, multiple=False, selected='break_plot'))
            ),
            ui.row(
                ui.column(6, ui.input_select('split_id', 'Select Split', split_dict, multiple=False)),
                ui.column(6, ui.input_numeric('rolling_window', 'Rolling Window (for tjStuff+ Plot)', min=1, value=50))
            ),
            
            # Row for the action button to generate plot
            ui.row(ui.input_action_button("generate_plot", "Generate Plot", class_="btn-primary"))
        ),
                
        ui.panel_main(
            ui.navset_tab(
                # Tab for game summary plot
                ui.nav("Pitching Summary",
                       ui.output_text("status"),
                       ui.output_plot('plot', width='2100px', height='2100px')
                ),
            )
        )
    )
)


def server(input, output, session):

    @reactive.calc
    @reactive.event(input.pitcher_id, input.date_id,input.split_id)
    def cached_data():

        year_input = int(input.year_input())
        sport_id = int(input.level_input())
        player_input = int(input.pitcher_id())
        start_date = str(input.date_id()[0])
        end_date = str(input.date_id()[1])
        # Simulate an expensive data operation
        game_list  = scrape.get_player_games_list(sport_id = sport_id,
                                                season = year_input, 
                                                player_id = player_input,
                                                start_date = start_date,
                                                end_date = end_date)

        data_list = scrape.get_data(game_list_input = game_list[:])
        df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
                            (pl.col("pitcher_id") == player_input)&
                            (pl.col("is_pitch") == True)&
                            (pl.col('batter_hand').is_in(split_dict_hand[input.split_id()]))

                            )))).with_columns(
                pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
            ))
        return df

    @render.ui
    @reactive.event(input.player_button, ignore_none=False)
    def player_select_ui():
        # Get the list of pitchers for the selected level and season
        df_pitcher_info = scrape.get_players(sport_id=int(input.level_input()), season=int(input.year_input())).filter(
            pl.col("position").is_in(['P'])).sort("name")
        
        # Create a dictionary of pitcher IDs and names
        pitcher_dict = dict(zip(df_pitcher_info['player_id'], df_pitcher_info['name']))
        
        # Return a select input for choosing a pitcher
        return ui.input_select("pitcher_id", "Select Pitcher", pitcher_dict, selectize=True)

    @render.ui
    @reactive.event(input.player_button, ignore_none=False)
    def date_id():
        # Create a date range input for selecting the date range within the selected year
        return ui.input_date_range("date_id", "Select Date Range",
                                   start=f"{int(input.year_input())}-01-01",
                                   end=f"{int(input.year_input())}-12-31",
                                   min=f"{int(input.year_input())}-01-01",
                                    max=f"{int(input.year_input())}-12-31")
    @output
    @render.text
    def status():
        # Only show status when generating
        if input.generate == 0:
            return ""
        return ""   
    
    @output
    @render.plot
    @reactive.event(input.generate_plot, ignore_none=False)   
    def plot():     
        # Show progress/loading notification
        with ui.Progress(min=0, max=1) as p:
            p.set(message="Generating plot", detail="This may take a while...")

            
            p.set(0.3, "Gathering data...")
            year_input = int(input.year_input())
            sport_id = int(input.level_input())
            player_input = int(input.pitcher_id())
            start_date = str(input.date_id()[0])
            end_date = str(input.date_id()[1])

            print(year_input, sport_id, player_input, start_date, end_date)

    
            # game_list  = scrape.get_player_games_list(sport_id = sport_id,
            #                                         season = year_input, 
            #                                         player_id = player_input,
            #                                         start_date = start_date,
            #                                         end_date = end_date)

            # data_list = scrape.get_data(game_list_input = game_list[:])
            # df = stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
            #                     (pl.col("pitcher_id") == player_input)&
            #                     (pl.col("is_pitch") == True))))).with_columns(
            #         pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
            #     )
            
            df = cached_data()
            df = df.clone()

            p.set(0.6, "Creating plot...")

  
            #plt.rcParams["figure.figsize"] = [10,10]
            fig = plt.figure(figsize=(26,26))
            plt.rcParams.update({'figure.autolayout': True})
            fig.set_facecolor('white')
            sns.set_theme(style="whitegrid", palette=colour_palette)
            print('this is the one plot')

            gs = gridspec.GridSpec(6, 8,
                                height_ratios=[5,20,12,36,36,7],
                                width_ratios=[4,18,18,18,18,18,18,4])


            gs.update(hspace=0.2, wspace=0.5)

            # Define the positions of each subplot in the grid
            ax_headshot = fig.add_subplot(gs[1,1:3])
            ax_bio = fig.add_subplot(gs[1,3:5])
            ax_logo = fig.add_subplot(gs[1,5:7])

            ax_season_table = fig.add_subplot(gs[2,1:7])

            ax_plot_1 = fig.add_subplot(gs[3,1:3])
            ax_plot_2 = fig.add_subplot(gs[3,3:5])
            ax_plot_3 = fig.add_subplot(gs[3,5:7])

            ax_table = fig.add_subplot(gs[4,1:7])

            ax_footer = fig.add_subplot(gs[-1,1:7])
            ax_header = fig.add_subplot(gs[0,1:7])
            ax_left = fig.add_subplot(gs[:,0])
            ax_right = fig.add_subplot(gs[:,-1])

            # Hide axes for footer, header, left, and right
            ax_footer.axis('off')
            ax_header.axis('off')
            ax_left.axis('off')
            ax_right.axis('off')

            sns.set_theme(style="whitegrid", palette=colour_palette)
            fig.set_facecolor('white')

            df_teams = scrape.get_teams()

            player_headshot(player_input=player_input, ax=ax_headshot,sport_id=sport_id,season=year_input)
            player_bio(pitcher_id=player_input, ax=ax_bio,sport_id=sport_id,year_input=year_input)
            plot_logo(pitcher_id=player_input, ax=ax_logo, df_team=df_teams,df_players=scrape.get_players(sport_id,year_input))

            stat_summary_table(df=df,
                            ax=ax_season_table,
                            player_input=player_input,
                            split=split_dict[input.split_id()],
                            sport_id=sport_id)

            # break_plot(df=df_plot,ax=ax2) 
            for x,y,z in zip([input.plot_id_1(),input.plot_id_2(),input.plot_id_3()],[ax_plot_1,ax_plot_2,ax_plot_3],[1,3,5]):
                if x == 'velocity_kdes':
                            velocity_kdes(df,
                            ax=y,
                            gs=gs,
                            gs_x=[3,4],
                            gs_y=[z,z+2],
                            fig=fig)
                if x == 'tj_stuff_roling':
                    tj_stuff_roling(df=df,
                                window=int(input.rolling_window()),
                                ax=y)
                    
                if x == 'tj_stuff_roling_game':
                    tj_stuff_roling_game(df=df, 
                                        window=int(input.rolling_window()),
                                        ax=y)

                if x == 'break_plot':
                    break_plot(df = df,ax=y) 

                if x == 'location_plot_lhb':
                    location_plot(df = df,ax=y,hand='L')

                if x == 'location_plot_rhb':
                    location_plot(df = df,ax=y,hand='R')

            summary_table(df=df,
                        ax=ax_table)

            plot_footer(ax_footer)   

            fig.subplots_adjust(left=0.01, right=0.99, top=0.99, bottom=0.01)


            
            

app = App(app_ui, server)