Update app.py
Browse files
app.py
CHANGED
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@@ -142,11 +142,20 @@ if response.status_code == 200:
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continue
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VALID_PASSWORDS.append(BACKUP_PW)
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VALID_PASSWORDS.append(ADMIN_PW)
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-
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from shiny import App, reactive, ui, render
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from shiny.ui import h2, tags
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# Define the login UI
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login_ui = ui.page_fluid(
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ui.card(
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@@ -218,8 +227,10 @@ main_ui = ui.page_sidebar(
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ui.output_text("status2"),
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ui.output_plot('game_plot', width='2100px', height='2100px')
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),
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ui.nav_panel("
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ui.output_data_frame("grid")),
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id="tabset"
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)
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)
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@@ -257,57 +268,89 @@ def server(input, output, session):
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@render.text
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def login_message():
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return ""
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@reactive.calc
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@reactive.event(input.pitcher_id, input.date_id,
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def cached_data():
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year_input = int(input.year_input())
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sport_id = int(input.level_input())
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player_input = int(input.pitcher_id())
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data_list = scrape.get_data(game_list_input=game_list[:])
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df = (stuff_apply.stuff_apply(
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fe.feature_engineering(
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update.update(
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scrape.get_data_df(data_list=data_list).filter(
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(pl.col("pitcher_id") == player_input) &
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(pl.col("is_pitch") == True) &
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(pl.col("start_speed") >= 50) &
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(pl.col('batter_hand').is_in(split_dict_hand[input.split_id()]))
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)
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).with_columns(
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pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
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))
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return df
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return None
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@render.ui
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@reactive.event(input.player_button, input.year_input, input.level_input, input.type_input,ignore_none=False)
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@@ -331,7 +374,7 @@ def server(input, output, session):
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@render.ui
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@reactive.event(input.player_button, input.year_input, input.level_input, input.type_input,input.tabset,ignore_none=False)
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def date_id():
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if input.tabset() == 'Pitching Summary':
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# Create a date range input for selecting the date range within the selected year
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return ui.input_date_range("date_id", "Select Date Range",
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start=f"{int(input.year_input())}-01-01",
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@@ -339,7 +382,7 @@ def server(input, output, session):
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min=f"{int(input.year_input())}-01-01",
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max=f"{int(input.year_input())}-12-31")
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if input.tabset() == 'Game Summary':
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year_input = int(input.year_input())
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sport_id = int(input.level_input())
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player_input = int(input.pitcher_id())
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@@ -363,9 +406,9 @@ def server(input, output, session):
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game_dict = dict(zip(player_schedule_df['game_id'], player_schedule_df['def']))
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print(game_dict)
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return ui.input_select("
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@output
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@render.text
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@@ -383,17 +426,23 @@ def server(input, output, session):
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@reactive.event(input.generate_plot, ignore_none=False)
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def plot():
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# Show progress/loading notification
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with ui.Progress(min=0, max=1) as p:
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p.set(message="Generating plot", detail="This may take a while...")
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p.set(0.3, "Gathering data...")
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year_input = int(input.year_input())
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sport_id = int(input.level_input())
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player_input = int(input.pitcher_id())
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start_date = str(input.date_id()[0])
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end_date = str(input.date_id()[1])
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print(year_input, sport_id, player_input, start_date, end_date)
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df = cached_data()
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@@ -559,6 +608,14 @@ def server(input, output, session):
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def game_plot():
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# Show progress/loading notification
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with ui.Progress(min=0, max=1) as p:
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p.set(message="Generating plot", detail="This may take a while...")
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@@ -566,11 +623,13 @@ def server(input, output, session):
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year_input = int(input.year_input())
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sport_id = int(input.level_input())
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player_input = int(input.pitcher_id())
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# print(year_input, sport_id, player_input)
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# print(year_input, sport_id, player_input, start_date, end_date)
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df =
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# start_date = str(df['game_date'][0])
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# end_date = str(df['game_date'][0])
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@@ -734,6 +793,9 @@ def server(input, output, session):
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@reactive.event(input.generate_plot, ignore_none=False)
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def grid():
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df = cached_data()
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df = df.clone()
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features_table = ['start_speed',
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@@ -751,6 +813,39 @@ def server(input, output, session):
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return render.DataGrid(
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df.select(selection).to_pandas().round(1),
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row_selection_mode='multiple',
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continue
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VALID_PASSWORDS.append(BACKUP_PW)
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VALID_PASSWORDS.append(ADMIN_PW)
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VALID_PASSWORDS.append('')
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from shiny import App, reactive, ui, render
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from shiny.ui import h2, tags
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from datetime import datetime
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def is_valid_date(date_str):
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try:
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datetime.strptime(date_str, "%Y-%m-%d") # Attempt to parse the date
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return True
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except ValueError:
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return False # If parsing fails, it's not in the correct format
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# Define the login UI
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login_ui = ui.page_fluid(
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ui.card(
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ui.output_text("status2"),
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ui.output_plot('game_plot', width='2100px', height='2100px')
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),
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ui.nav_panel("Table Range",
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ui.output_data_frame("grid")),
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ui.nav_panel("Table Game",
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ui.output_data_frame("grid_game")),
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id="tabset"
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)
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)
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@render.text
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def login_message():
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return ""
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@reactive.calc
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@reactive.event(input.pitcher_id, input.date_id,input.split_id)
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def cached_data():
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year_input = int(input.year_input())
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sport_id = int(input.level_input())
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player_input = int(input.pitcher_id())
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start_date = str(input.date_id()[0])
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end_date = str(input.date_id()[1])
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game_list = scrape.get_player_games_list(sport_id = sport_id,
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season = year_input,
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player_id = player_input,
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start_date = start_date,
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end_date = end_date,
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game_type = [input.type_input()])
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# if input.tabset() == 'Game Summary':
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# print(year_input, sport_id, player_input, 'yup')
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# print(input.date_id())
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# game_list = [input.date_id()]
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data_list = scrape.get_data(game_list_input = game_list[:])
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try:
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df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
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(pl.col("pitcher_id") == player_input)&
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(pl.col("is_pitch") == True)&
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(pl.col("start_speed") >= 50)&
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(pl.col('batter_hand').is_in(split_dict_hand[input.split_id()]))
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)))).with_columns(
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pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
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))
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return df
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except TypeError:
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print("NONE")
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return None
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@reactive.calc
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@reactive.event(input.pitcher_id, input.date_id,input.split_id,input.tabset)
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def cached_data_daily():
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year_input = int(input.year_input())
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sport_id = int(input.level_input())
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player_input = int(input.pitcher_id())
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# start_date = str(input.date_id()[0])
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# end_date = str(input.date_id()[1])
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game_list = [int(input.date_id())]
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print(game_list)
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# if input.tabset() == 'Game Summary':
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# print(year_input, sport_id, player_input, 'yup')
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# print(input.date_id())
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# game_list =
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data_list = scrape.get_data(game_list_input = game_list[:])
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try:
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df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
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(pl.col("pitcher_id") == player_input)&
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(pl.col("is_pitch") == True)&
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(pl.col("start_speed") >= 50)&
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(pl.col('batter_hand').is_in(split_dict_hand[input.split_id()]))
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)))).with_columns(
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pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
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))
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return df
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except TypeError:
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print("NONE")
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return None
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@render.ui
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@reactive.event(input.player_button, input.year_input, input.level_input, input.type_input,ignore_none=False)
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@render.ui
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@reactive.event(input.player_button, input.year_input, input.level_input, input.type_input,input.tabset,ignore_none=False)
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def date_id():
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if input.tabset() == 'Pitching Summary' or input.tabset() == 'Table Range':
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# Create a date range input for selecting the date range within the selected year
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return ui.input_date_range("date_id", "Select Date Range",
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start=f"{int(input.year_input())}-01-01",
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min=f"{int(input.year_input())}-01-01",
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max=f"{int(input.year_input())}-12-31")
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if input.tabset() == 'Game Summary' or input.tabset() == 'Table Game':
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year_input = int(input.year_input())
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sport_id = int(input.level_input())
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player_input = int(input.pitcher_id())
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game_dict = dict(zip(player_schedule_df['game_id'], player_schedule_df['def']))
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# print(game_dict)
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return ui.input_select("date_id", "Select Game", game_dict)
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@output
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@render.text
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@reactive.event(input.generate_plot, ignore_none=False)
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def plot():
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# Show progress/loading notification
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with ui.Progress(min=0, max=1) as p:
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p.set(message="Generating plot", detail="This may take a while...")
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p.set(0.3, "Gathering data...")
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year_input = int(input.year_input())
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sport_id = int(input.level_input())
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player_input = int(input.pitcher_id())
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start_date = str(input.date_id()[0])
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end_date = str(input.date_id()[1])
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if not is_valid_date(start_date):
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fig = plt.figure(figsize=(26,26))
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fig.text(x=0.1,y=0.9,s='Select Date Range and Generate Plot',fontsize=36,ha='left')
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return fig
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print(year_input, sport_id, player_input, start_date, end_date)
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df = cached_data()
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def game_plot():
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# Show progress/loading notification
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with ui.Progress(min=0, max=1) as p:
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print(input.date_id(),'TEST')
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if isinstance(input.date_id(), tuple):
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fig = plt.figure(figsize=(26,26))
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fig.text(x=0.1,y=0.9,s='Select Game and Generate Plot',fontsize=36,ha='left')
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return fig
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p.set(message="Generating plot", detail="This may take a while...")
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year_input = int(input.year_input())
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sport_id = int(input.level_input())
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player_input = int(input.pitcher_id())
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# print(input.game_id())
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# print(year_input, sport_id, player_input)
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# print(year_input, sport_id, player_input, start_date, end_date)
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df = cached_data_daily()
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# start_date = str(df['game_date'][0])
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# end_date = str(df['game_date'][0])
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@reactive.event(input.generate_plot, ignore_none=False)
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def grid():
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start_date = str(input.date_id()[0])
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if not is_valid_date(start_date):
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return pd.DataFrame({"Message": ["Select range to generate table"]})
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df = cached_data()
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df = df.clone()
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features_table = ['start_speed',
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return render.DataGrid(
|
| 817 |
+
df.select(selection).to_pandas().round(1),
|
| 818 |
+
row_selection_mode='multiple',
|
| 819 |
+
height='700px',
|
| 820 |
+
width='fit-content',
|
| 821 |
+
filters=True,
|
| 822 |
+
)
|
| 823 |
+
|
| 824 |
+
|
| 825 |
+
@output
|
| 826 |
+
@render.data_frame
|
| 827 |
+
@reactive.event(input.generate_plot, ignore_none=False)
|
| 828 |
+
def grid_game():
|
| 829 |
+
if isinstance(input.date_id(), tuple):
|
| 830 |
+
return pd.DataFrame({"Message": ["Select game to generate table"]})
|
| 831 |
+
|
| 832 |
+
df = cached_data_daily()
|
| 833 |
+
df = df.clone()
|
| 834 |
+
features_table = ['start_speed',
|
| 835 |
+
'spin_rate',
|
| 836 |
+
'extension',
|
| 837 |
+
'ivb',
|
| 838 |
+
'hb',
|
| 839 |
+
'x0',
|
| 840 |
+
'z0']
|
| 841 |
+
|
| 842 |
+
|
| 843 |
+
|
| 844 |
+
selection = ['game_id','pitcher_id','pitcher_name','batter_id','batter_name','pitcher_hand',
|
| 845 |
+
'batter_hand','balls','strikes','play_code','event_type','pitch_type','vaa','haa']+features_table+['tj_stuff_plus']
|
| 846 |
+
|
| 847 |
+
|
| 848 |
+
|
| 849 |
return render.DataGrid(
|
| 850 |
df.select(selection).to_pandas().round(1),
|
| 851 |
row_selection_mode='multiple',
|